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世界杯预热,墨西哥对南非预测

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  • TA的每日心情
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    2020-4-8 10:45
  • 签到天数: 227 天

    [LV.7]分神

    21#
     楼主| 发表于 3 天前 | 只看该作者
    xiejin77 发表于 2026-6-13 13:54
    # 2026 世界杯预测报告:Australia vs Türkiye

    - **预测时间**: 2026-06-13 13:32:05

    这个算法跑的,蒙特卡洛的土澳赢球标准很高啊。没想到结果居然对的上
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  • TA的每日心情
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    2020-4-8 10:45
  • 签到天数: 227 天

    [LV.7]分神

    22#
     楼主| 发表于 前天 13:01 | 只看该作者
    # 2026 世界杯预测报告:Saudi Arabia vs Uruguay

    - **预测时间**: 2026-06-15 13:00:45
    - **Run ID**: 20260615_130045
    - **比赛信息**: 第 13 场 · H组
    - **开球时间**: 2026-06-16 06:00 北京时间(原始:2026-06-15 18:00 local)
    - **场馆**: Miami Stadium · Miami
    - **贝叶斯数据更新时间**: 2026-06-15T12:59:50

    ## Key Takeaways / 关键判断与结论

    - 模型当前最倾向于“客队胜”,概率为 52.5%,领先第二选项 26.3 个百分点。
    - 综合置信度为低;模型分歧为 28.4%,分歧越低代表贝叶斯与蒙特卡洛结论越一致。
    - 对照 Polymarket,“客队胜”的模型概率低于市场 12.0 个百分点,可用于判断市场是否偏热或偏冷。
    - 本次贝叶斯上下文来源为 audited-live,更新时间为 2026-06-15T12:59:50。
    - 本次预测已使用手动/外部阵容覆盖默认首发,贝叶斯与蒙特卡洛共享同一套首发名单。

    ## Synthesis / 综合概率

    - Saudi Arabia 胜: 26.2%
    - 平局: 21.4%
    - Uruguay 胜: 52.5%
    - 综合置信度: 低
    - 方法分歧: 28.4%

    ## Bayesian Analysis / 贝叶斯分析

    - 后验胜平负: Saudi Arabia 17.5% / 平局 15.8% / Uruguay 66.7%
    - Elo: 1450 vs 1673
    - lineup: Saudi Arabia 4-3-3 lineup confirmed from manual; key starters: Abdullah Al Khaibari, Alaa ⁠Al Hejji, Ayman Yahya(幅度 6.5%)
    - lineup: Uruguay 4-3-3 lineup confirmed from manual; key starters: Agustin Canobbio, Brian Rodriguez, Emiliano Martinez(幅度 6.5%)

    ## Bayesian Evidence Audit / 贝叶斯证据审计

    - Elo available: 可用
    - Lineups trusted: 不可用
    - Injuries trusted: 不可用
    - Recent form trusted: 可用
    - Weather available: 可用
    - Pitch available: 可用
    - Referee available: 不可用
    - 入模[lineup]: 首发阵容已通过大名单匹配;官方/手动确认权重较高,专家预测首发仅低权重入模。;置信度 0.78
    - 入模[lineup]: 首发阵容已通过大名单匹配;官方/手动确认权重较高,专家预测首发仅低权重入模。;置信度 0.78
    - 原始伤停线索 7 条仅保存审计;未匹配或低可信内容不入模。

    ## Monte Carlo / 蒙特卡洛模拟

    - 模拟次数: 10000
    - 90分钟胜平负: Saudi Arabia 34.8% / 平局 26.9% / Uruguay 38.2%
    - 平均进球: 1.17 - 1.24
    - 90分钟结果: Saudi Arabia 34.8% / 平局 26.9% / Uruguay 38.2%

    ## Simulation Parameters / 模拟参数与外部因素

    - 随机种子: 1235697829
    - 模拟规则: 小组赛,90分钟允许平局
    - 天气: 晴朗; 温度 27.3°C; 风速 16 km/h; 湿度 78%; 来源 open-meteo
    - 场地: 草皮 unknown,质量 正常
    - 旅行/休息: 主队休息 7 天,客队休息 7 天,主队旅程 0 km,客队旅程 0 km
    - 因素影响: 未启用明显天气/场地调制,按中性条件模拟。

    ## Injury Mapping / 伤停映射

    - 暂无可映射伤停,Monte Carlo 阵容保持默认。

    ## Lineups / 阵容来源与匹配状态

    - 主队 Saudi Arabia: 4-3-3 / manual / confirmed / confidence 0.78
      - 首发: Ahmed Alkassar, Abdulelah Al Amri, Ali Majrashi, Hassan Kadesh, Hassan Tambakti, Abdullah Al Khaibari, Alaa ⁠Al Hejji, Ayman Yahya, Abdullah Al Hamdan, Feras Al Brikan, Saleh Al Shehri
    - 客队 Uruguay: 4-3-3 / manual / confirmed / confidence 0.78
      - 首发: Fernando Muslera, Guillermo Varela, Joaquin Piquerez, Jose Maria Gimenez, Mathias Olivera, Agustin Canobbio, Brian Rodriguez, Emiliano Martinez, Darwin Nunez, Facundo Pellistri, Federico Vinas

    ## Diagnosis / 综合诊断

    - Monte Carlo is higher on home win by 17.4pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Monte Carlo is higher on draw by 11.1pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Bayesian is higher on away win by 28.4pp. Likely evidence-layer effect (2 evidence items) rather than player-chain simulation.

    ## Market Comparison / Polymarket 概率对照

    - 市场来源: The Odds API
    - 市场问题: Bookmaker h2h odds: Saudi Arabia vs Uruguay
    - 市场更新时间: 2026-06-15T12:59:50
    - 主队胜: 模型 26.2% / Polymarket 13.2% / 差值 +13.0pp
    - 平局: 模型 21.4% / Polymarket 22.3% / 差值 -1.0pp
    - 客队胜: 模型 52.5% / Polymarket 64.5% / 差值 -12.0pp

    ## Engine Raw Output / 引擎原始输出

    # Match Prediction Report
    ## World Cup 2026 Group Stage: Saudi Arabia vs Uruguay

    - **Venue**: neutral
    - **Referee**: TBD
    - **Confidence**: LOW
    - **Shared Baseline**: group / context quality 0.67

    ## Summary

    | Outcome | Bayesian | Monte Carlo | Averaged |
    |---------|----------|-------------|----------|
    | Saudi Arabia Win | 17.5% | 34.8% | 26.2% |
    | Draw | 15.8% | 26.9% | 21.4% |
    | Uruguay Win | 66.7% | 38.2% | 52.5% |

    ## Layer 1: Bayesian Analysis

    ### P0 (Elo Prior)
    - Saudi Arabia Elo: 1450
    - Uruguay Elo: 1673
    - P0: Saudi Arabia 17.4% / Draw 16.2% / Uruguay 66.4%

    ### Likelihood Updates
    - [home] Saudi Arabia 4-3-3 lineup confirmed from manual; key starters: Abdullah Al Khaibari, Alaa ⁠Al Hejji, Ayman Yahya (±6%) — lineup
    - [away] Uruguay 4-3-3 lineup confirmed from manual; key starters: Agustin Canobbio, Brian Rodriguez, Emiliano Martinez (±6%) — lineup

    ### P1 (Final Bayesian)
    - Saudi Arabia: 17.5%  |  Draw: 15.8%  |  Uruguay: 66.7%

    ## Layer 2: Monte Carlo (FM-Style)

    - Simulations: 10,000
    - Avg Goals: Saudi Arabia 1.17 / Uruguay 1.24 / Total 2.41
    - Avg Shots: Saudi Arabia 16.9 / Uruguay 18.4
    - Conversion: Saudi Arabia 6.9% / Uruguay 6.8%
    - Avg Cards: 3.6

    ### Top Scorelines
    - Saudi Arabia 1-1 Uruguay: 12.8%
    - Saudi Arabia 0-1 Uruguay: 10.7%
    - Saudi Arabia 1-0 Uruguay: 10.5%
    - Saudi Arabia 0-0 Uruguay: 8.6%
    - Saudi Arabia 1-2 Uruguay: 8.5%

    ## Layer 3: Synthesis

    **Confidence: LOW** (max divergence: 28.4%)
    - Method weights: Bayesian 50% / Monte Carlo 50%
    - Rationale: Methods diverge materially; averaged estimate is shown, but confidence is low and diagnostics should drive interpretation.

    ### Divergence Analysis
    - Monte Carlo is higher on home win by 17.4pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Monte Carlo is higher on draw by 11.1pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Bayesian is higher on away win by 28.4pp. Likely evidence-layer effect (2 evidence items) rather than player-chain simulation.

    ### Consensus Estimate
    - Saudi Arabia: 26.2%  |  Draw: 21.4%  |  Uruguay: 52.5%


    ## Disclaimer / 免责声明

    本报告仅供数据分析和赛前讨论参考,不构成投注、交易或投资建议。请理性看待体育赛事结果,远离非法赌博。
    回复 支持 反对

    使用道具 举报

  • TA的每日心情
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    2020-4-8 10:45
  • 签到天数: 227 天

    [LV.7]分神

    23#
     楼主| 发表于 前天 13:04 | 只看该作者
    # 2026 世界杯预测报告:Spain vs Cabo Verde

    - **预测时间**: 2026-06-15 13:03:00
    - **Run ID**: 20260615_130300
    - **比赛信息**: 第 14 场 · H组
    - **开球时间**: 2026-06-16 00:00 北京时间(原始:2026-06-15 12:00 local)
    - **场馆**: Atlanta Stadium · Atlanta
    - **贝叶斯数据更新时间**: 2026-06-15T13:02:23

    ## Key Takeaways / 关键判断与结论

    - 模型当前最倾向于“主队胜”,概率为 64.7%,领先第二选项 46.3 个百分点。
    - 综合置信度为低;模型分歧为 42.1%,分歧越低代表贝叶斯与蒙特卡洛结论越一致。
    - 对照 Polymarket,“主队胜”的模型概率低于市场 24.5 个百分点,可用于判断市场是否偏热或偏冷。
    - 本次贝叶斯上下文来源为 audited-live,更新时间为 2026-06-15T13:02:23。
    - 本次预测已使用手动/外部阵容覆盖默认首发,贝叶斯与蒙特卡洛共享同一套首发名单。

    ## Synthesis / 综合概率

    - Spain 胜: 64.7%
    - 平局: 18.5%
    - Cabo Verde 胜: 16.8%
    - 综合置信度: 低
    - 方法分歧: 42.1%

    ## Bayesian Analysis / 贝叶斯分析

    - 后验胜平负: Spain 85.8% / 平局 9.6% / Cabo Verde 4.6%
    - Elo: 1876 vs 1390
    - audited recent form: Weighted recent form gap: home=0.60 vs away=0.42(幅度 2.0%)
    - lineup: Spain 4-3-3 lineup confirmed from manual; key starters: Gavi, Alex Baena, Fabian Ruiz(幅度 6.5%)
    - lineup: Cape Verde 4-2-3-1 lineup confirmed from manual; key starters: Jamiro Monteiro, Kevin Pina, Dailon Livramento(幅度 6.5%)

    ## Bayesian Evidence Audit / 贝叶斯证据审计

    - Elo available: 可用
    - Lineups trusted: 不可用
    - Injuries trusted: 不可用
    - Recent form trusted: 可用
    - Weather available: 可用
    - Pitch available: 可用
    - Referee available: 不可用
    - 入模[form]: 最近五场加权状态差距达到阈值;已考虑赛事类型、时间衰减、对手强度和主客/中立场,作为低权重贝叶斯证据入模。;置信度 0.55
    - 入模[lineup]: 首发阵容已通过大名单匹配;官方/手动确认权重较高,专家预测首发仅低权重入模。;置信度 0.78
    - 入模[lineup]: 首发阵容已通过大名单匹配;官方/手动确认权重较高,专家预测首发仅低权重入模。;置信度 0.78
    - 原始伤停线索 8 条仅保存审计;未匹配或低可信内容不入模。

    ## Monte Carlo / 蒙特卡洛模拟

    - 模拟次数: 10000
    - 90分钟胜平负: Spain 43.7% / 平局 27.3% / Cabo Verde 29.0%
    - 平均进球: 1.31 - 1.00
    - 90分钟结果: Spain 43.7% / 平局 27.3% / Cabo Verde 29.0%

    ## Simulation Parameters / 模拟参数与外部因素

    - 随机种子: 1235697829
    - 模拟规则: 小组赛,90分钟允许平局
    - 天气: 晴朗; 温度 25.9°C; 风速 16 km/h; 湿度 57%; 来源 open-meteo
    - 场地: 草皮 unknown,质量 正常
    - 旅行/休息: 主队休息 7 天,客队休息 7 天,主队旅程 0 km,客队旅程 0 km
    - 因素影响: 未启用明显天气/场地调制,按中性条件模拟。

    ## Injury Mapping / 伤停映射

    - 暂无可映射伤停,Monte Carlo 阵容保持默认。

    ## Lineups / 阵容来源与匹配状态

    - 主队 Spain: 4-3-3 / manual / confirmed / confidence 0.78
      - 首发: David Raya, Alejandro Grimaldo, Aymeric Laporte, Eric Garcia, Marc Cucurella, Alex Baena, Fabian Ruiz, Gavi, Borja Iglesias, Dani Olmo, Ferran Torres
    - 客队 Cape Verde: 4-2-3-1 / manual / confirmed / confidence 0.78
      - 首发: Carlos Santos, Edilson Borges “Diney”, Ianique Tavares “Stopira”, Joao Paulo Fernandes, Kelvin Pires, Deroy Duarte, Jamiro Monteiro, Dailon Livramento, Kevin Pina, Garry Rodrigues, Gilson Benchimol

    ## Diagnosis / 综合诊断

    - Bayesian is higher on home win by 42.1pp. Likely evidence-layer effect (3 evidence items) rather than player-chain simulation.
    - Monte Carlo is higher on draw by 17.7pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Monte Carlo is higher on away win by 24.4pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).

    ## Market Comparison / Polymarket 概率对照

    - 市场来源: The Odds API
    - 市场问题: Bookmaker h2h odds: Spain vs Cabo Verde
    - 市场更新时间: 2026-06-15T13:02:23
    - 主队胜: 模型 64.7% / Polymarket 89.2% / 差值 -24.5pp
    - 平局: 模型 18.5% / Polymarket 7.6% / 差值 +10.8pp
    - 客队胜: 模型 16.8% / Polymarket 3.1% / 差值 +13.7pp

    ## Engine Raw Output / 引擎原始输出

    # Match Prediction Report
    ## World Cup 2026 Group Stage: Spain vs Cape Verde

    - **Venue**: neutral
    - **Referee**: TBD
    - **Confidence**: LOW
    - **Shared Baseline**: group / context quality 0.67

    ## Summary

    | Outcome | Bayesian | Monte Carlo | Averaged |
    |---------|----------|-------------|----------|
    | Spain Win | 85.8% | 43.7% | 64.7% |
    | Draw | 9.6% | 27.3% | 18.5% |
    | Cape Verde Win | 4.6% | 29.0% | 16.8% |

    ## Layer 1: Bayesian Analysis

    ### P0 (Elo Prior)
    - Spain Elo: 1876
    - Cape Verde Elo: 1390
    - P0: Spain 85.5% / Draw 9.9% / Cape Verde 4.6%

    ### Likelihood Updates
    - [home] Weighted recent form gap: home=0.60 vs away=0.42 (±2%) — audited recent form
    - [home] Spain 4-3-3 lineup confirmed from manual; key starters: Gavi, Alex Baena, Fabian Ruiz (±6%) — lineup
    - [away] Cape Verde 4-2-3-1 lineup confirmed from manual; key starters: Jamiro Monteiro, Kevin Pina, Dailon Livramento (±6%) — lineup

    ### P1 (Final Bayesian)
    - Spain: 85.8%  |  Draw: 9.6%  |  Cape Verde: 4.6%

    ## Layer 2: Monte Carlo (FM-Style)

    - Simulations: 10,000
    - Avg Goals: Spain 1.31 / Cape Verde 1.00 / Total 2.31
    - Avg Shots: Spain 19.3 / Cape Verde 14.7
    - Conversion: Spain 6.8% / Cape Verde 6.8%
    - Avg Cards: 3.7

    ### Top Scorelines
    - Spain 1-1 Cape Verde: 13.0%
    - Spain 1-0 Cape Verde: 12.6%
    - Spain 0-1 Cape Verde: 10.0%
    - Spain 0-0 Cape Verde: 9.6%
    - Spain 2-0 Cape Verde: 9.0%

    ## Layer 3: Synthesis

    **Confidence: LOW** (max divergence: 42.1%)
    - Method weights: Bayesian 50% / Monte Carlo 50%
    - Rationale: Methods diverge materially; averaged estimate is shown, but confidence is low and diagnostics should drive interpretation.

    ### Divergence Analysis
    - Bayesian is higher on home win by 42.1pp. Likely evidence-layer effect (3 evidence items) rather than player-chain simulation.
    - Monte Carlo is higher on draw by 17.7pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Monte Carlo is higher on away win by 24.4pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).

    ### Consensus Estimate
    - Spain: 64.7%  |  Draw: 18.5%  |  Cape Verde: 16.8%


    ## Disclaimer / 免责声明

    本报告仅供数据分析和赛前讨论参考,不构成投注、交易或投资建议。请理性看待体育赛事结果,远离非法赌博。
    回复 支持 反对

    使用道具 举报

  • TA的每日心情
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    2020-4-8 10:45
  • 签到天数: 227 天

    [LV.7]分神

    24#
     楼主| 发表于 前天 13:06 | 只看该作者
    # 2026 世界杯预测报告:Belgium vs Egypt

    - **预测时间**: 2026-06-15 13:06:34
    - **Run ID**: 20260615_130634
    - **比赛信息**: 第 16 场 · G组
    - **开球时间**: 2026-06-16 03:00 北京时间(原始:2026-06-15 12:00 local)
    - **场馆**: Seattle Stadium · Seattle
    - **贝叶斯数据更新时间**: 2026-06-15T13:06:09

    ## Key Takeaways / 关键判断与结论

    - 模型当前最倾向于“主队胜”,概率为 51.2%,领先第二选项 24.8 个百分点。
    - 综合置信度为低;模型分歧为 18.1%,分歧越低代表贝叶斯与蒙特卡洛结论越一致。
    - 对照 Polymarket,“主队胜”的模型概率低于市场 8.0 个百分点,可用于判断市场是否偏热或偏冷。
    - 本次贝叶斯上下文来源为 audited-live,更新时间为 2026-06-15T13:06:09。
    - 本次预测已使用手动/外部阵容覆盖默认首发,贝叶斯与蒙特卡洛共享同一套首发名单。

    ## Synthesis / 综合概率

    - Belgium 胜: 51.2%
    - 平局: 22.3%
    - Egypt 胜: 26.4%
    - 综合置信度: 低
    - 方法分歧: 18.1%

    ## Bayesian Analysis / 贝叶斯分析

    - 后验胜平负: Belgium 60.3% / 平局 18.1% / Egypt 21.6%
    - Elo: 1735 vs 1566
    - audited recent form: Weighted recent form gap: home=0.73 vs away=0.53(幅度 2.1%)
    - lineup: Belgium 4-2-3-1 lineup confirmed from manual; key starters: Kevin De Bruyne, Youri Tielemans, Maxim De Cuyper(幅度 6.5%)
    - lineup: Egypt 4-2-3-1 lineup confirmed from manual; key starters: Ahmed Zizo, Emam Ashour, Haissem Hassan(幅度 6.5%)

    ## Bayesian Evidence Audit / 贝叶斯证据审计

    - Elo available: 可用
    - Lineups trusted: 不可用
    - Injuries trusted: 不可用
    - Recent form trusted: 可用
    - Weather available: 可用
    - Pitch available: 可用
    - Referee available: 不可用
    - 入模[form]: 最近五场加权状态差距达到阈值;已考虑赛事类型、时间衰减、对手强度和主客/中立场,作为低权重贝叶斯证据入模。;置信度 0.55
    - 入模[lineup]: 首发阵容已通过大名单匹配;官方/手动确认权重较高,专家预测首发仅低权重入模。;置信度 0.78
    - 入模[lineup]: 首发阵容已通过大名单匹配;官方/手动确认权重较高,专家预测首发仅低权重入模。;置信度 0.78
    - 原始伤停线索 6 条仅保存审计;未匹配或低可信内容不入模。

    ## Monte Carlo / 蒙特卡洛模拟

    - 模拟次数: 10000
    - 90分钟胜平负: Belgium 42.2% / 平局 26.6% / Egypt 31.2%
    - 平均进球: 1.33 - 1.10
    - 90分钟结果: Belgium 42.2% / 平局 26.6% / Egypt 31.2%

    ## Simulation Parameters / 模拟参数与外部因素

    - 随机种子: 1235697829
    - 模拟规则: 小组赛,90分钟允许平局
    - 天气: 晴朗; 温度 26.3°C; 风速 6.7 km/h; 湿度 38%; 来源 open-meteo
    - 场地: 草皮 unknown,质量 正常
    - 旅行/休息: 主队休息 7 天,客队休息 7 天,主队旅程 0 km,客队旅程 0 km
    - 因素影响: 未启用明显天气/场地调制,按中性条件模拟。

    ## Injury Mapping / 伤停映射

    - 暂无可映射伤停,Monte Carlo 阵容保持默认。

    ## Lineups / 阵容来源与匹配状态

    - 主队 Belgium: 4-2-3-1 / manual / confirmed / confidence 0.78
      - 首发: Thibaut Courtois, Timothy Castagne, Zeno Debast, Arthur Theate, Maxim De Cuyper, Youri Tielemans, Amadou Onana, Jeremy Doku, Kevin De Bruyne, Leandro Trossard, Charles De Ketelaere
    - 客队 Egypt: 4-2-3-1 / manual / confirmed / confidence 0.78
      - 首发: Mohamed Alaa, Ahmed Fotouh, Hamdy Fathy, Hossam Abdelmaguid, Karim Hafez, Ahmed Zizo, Emam Ashour, Aqtay Abdallah, Haissem Hassan, Hamza Abdelkarim, Mohamed Salah

    ## Diagnosis / 综合诊断

    - Bayesian is higher on home win by 18.1pp. Likely evidence-layer effect (3 evidence items) rather than player-chain simulation.
    - Monte Carlo is higher on draw by 8.5pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).

    ## Market Comparison / Polymarket 概率对照

    - 市场来源: The Odds API
    - 市场问题: Bookmaker h2h odds: Belgium vs Egypt
    - 市场更新时间: 2026-06-15T13:06:09
    - 主队胜: 模型 51.2% / Polymarket 59.2% / 差值 -8.0pp
    - 平局: 模型 22.3% / Polymarket 24.2% / 差值 -1.9pp
    - 客队胜: 模型 26.4% / Polymarket 16.5% / 差值 +9.9pp

    ## Engine Raw Output / 引擎原始输出

    # Match Prediction Report
    ## World Cup 2026 Group Stage: Belgium vs Egypt

    - **Venue**: neutral
    - **Referee**: TBD
    - **Confidence**: LOW
    - **Shared Baseline**: group / context quality 0.67

    ## Summary

    | Outcome | Bayesian | Monte Carlo | Averaged |
    |---------|----------|-------------|----------|
    | Belgium Win | 60.3% | 42.2% | 51.2% |
    | Draw | 18.1% | 26.6% | 22.3% |
    | Egypt Win | 21.6% | 31.2% | 26.4% |

    ## Layer 1: Bayesian Analysis

    ### P0 (Elo Prior)
    - Belgium Elo: 1735
    - Egypt Elo: 1566
    - P0: Belgium 59.8% / Draw 18.6% / Egypt 21.7%

    ### Likelihood Updates
    - [home] Weighted recent form gap: home=0.73 vs away=0.53 (±2%) — audited recent form
    - [home] Belgium 4-2-3-1 lineup confirmed from manual; key starters: Kevin De Bruyne, Youri Tielemans, Maxim De Cuyper (±6%) — lineup
    - [away] Egypt 4-2-3-1 lineup confirmed from manual; key starters: Ahmed Zizo, Emam Ashour, Haissem Hassan (±6%) — lineup

    ### P1 (Final Bayesian)
    - Belgium: 60.3%  |  Draw: 18.1%  |  Egypt: 21.6%

    ## Layer 2: Monte Carlo (FM-Style)

    - Simulations: 10,000
    - Avg Goals: Belgium 1.33 / Egypt 1.10 / Total 2.44
    - Avg Shots: Belgium 18.3 / Egypt 16.6
    - Conversion: Belgium 7.3% / Egypt 6.7%
    - Avg Cards: 3.6

    ### Top Scorelines
    - Belgium 1-1 Egypt: 12.5%
    - Belgium 1-0 Egypt: 11.5%
    - Belgium 0-1 Egypt: 9.9%
    - Belgium 2-1 Egypt: 8.9%
    - Belgium 0-0 Egypt: 8.5%

    ## Layer 3: Synthesis

    **Confidence: LOW** (max divergence: 18.1%)
    - Method weights: Bayesian 50% / Monte Carlo 50%
    - Rationale: Methods diverge materially; averaged estimate is shown, but confidence is low and diagnostics should drive interpretation.

    ### Divergence Analysis
    - Bayesian is higher on home win by 18.1pp. Likely evidence-layer effect (3 evidence items) rather than player-chain simulation.
    - Monte Carlo is higher on draw by 8.5pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).

    ### Consensus Estimate
    - Belgium: 51.2%  |  Draw: 22.3%  |  Egypt: 26.4%


    ## Disclaimer / 免责声明

    本报告仅供数据分析和赛前讨论参考,不构成投注、交易或投资建议。请理性看待体育赛事结果,远离非法赌博。
    回复 支持 反对

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    2020-4-8 10:45
  • 签到天数: 227 天

    [LV.7]分神

    25#
     楼主| 发表于 昨天 08:26 | 只看该作者
    伊朗对新西兰的这一场,不知道为什么很多数据源的数据都不齐,我也懒得手工检索填入。只能作罢。
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    [LV.7]分神

    26#
     楼主| 发表于 昨天 09:30 | 只看该作者
    # 2026 世界杯预测报告:France vs Senegal

    - **预测时间**: 2026-06-16 09:29:36
    - **Run ID**: 20260616_092936
    - **比赛信息**: 第 17 场 · I组
    - **开球时间**: 2026-06-16 15:00 local(原始:2026-06-16 15:00 local)
    - **场馆**: New York/New Jersey Stadium · New Jersey
    - **贝叶斯数据更新时间**: 2026-06-16T09:26:22

    ## Key Takeaways / 关键判断与结论

    - 模型当前最倾向于“主队胜”,概率为 50.2%,领先第二选项 22.8 个百分点。
    - 综合置信度为低;模型分歧为 23.9%,分歧越低代表贝叶斯与蒙特卡洛结论越一致。
    - 对照 Polymarket,“主队胜”的模型概率低于市场 13.8 个百分点,可用于判断市场是否偏热或偏冷。
    - 本次贝叶斯上下文来源为 audited-live,更新时间为 2026-06-16T09:26:22。
    - 本次预测已使用手动/外部阵容覆盖默认首发,贝叶斯与蒙特卡洛共享同一套首发名单。

    ## Synthesis / 综合概率

    - France 胜: 50.2%
    - 平局: 27.4%
    - Senegal 胜: 22.5%
    - 综合置信度: 低
    - 方法分歧: 23.9%

    ## Bayesian Analysis / 贝叶斯分析

    - 后验胜平负: France 62.1% / 平局 17.8% / Senegal 20.1%
    - Elo: 1877 vs 1689
    - lineup: France 4-2-3-1 lineup confirmed from manual; key starters: Adrien Rabiot, Aurelien Tchouameni, Manu Kone(幅度 6.5%)
    - lineup: Senegal 4-3-3 lineup confirmed from manual; key starters: Ilay Camara, Bara Sapoko Ndiaye, Habib Diarra(幅度 6.5%)
    - simulation factors: Weather condition: rain(幅度 6.0%)

    ## Bayesian Evidence Audit / 贝叶斯证据审计

    - Elo available: 可用
    - Lineups trusted: 不可用
    - Injuries trusted: 不可用
    - Recent form trusted: 可用
    - Weather available: 可用
    - Pitch available: 可用
    - Referee available: 不可用
    - 入模[lineup]: 首发阵容已通过大名单匹配;官方/手动确认权重较高,专家预测首发仅低权重入模。;置信度 0.78
    - 入模[lineup]: 首发阵容已通过大名单匹配;官方/手动确认权重较高,专家预测首发仅低权重入模。;置信度 0.78
    - 入模[weather]: 雨雪会降低传控和推进稳定性,贝叶斯侧只轻微提高平局/低比分倾向。;置信度 0.55
    - 原始伤停线索 2 条仅保存审计;未匹配或低可信内容不入模。

    ## Monte Carlo / 蒙特卡洛模拟

    - 模拟次数: 10000
    - 90分钟胜平负: France 38.2% / 平局 37.0% / Senegal 24.8%
    - 平均进球: 0.84 - 0.60
    - 90分钟结果: France 38.2% / 平局 37.0% / Senegal 24.8%

    ## Simulation Parameters / 模拟参数与外部因素

    - 随机种子: 1309429543
    - 模拟规则: 小组赛,90分钟允许平局
    - 天气: 雨天; 温度 26.2°C; 风速 15.9 km/h; 湿度 94%; 来源 open-meteo
    - 场地: 草皮 unknown,质量 正常
    - 旅行/休息: 主队休息 7 天,客队休息 7 天,主队旅程 0 km,客队旅程 0 km
    - 因素影响: 雨雪天气:传球、盘带和射门稳定性下降,比赛节奏降低。

    ## Injury Mapping / 伤停映射

    - 暂无可映射伤停,Monte Carlo 阵容保持默认。

    ## Lineups / 阵容来源与匹配状态

    - 主队 France: 4-2-3-1 / manual / confirmed / confidence 0.78
      - 首发: Brice Samba, Dayot Upamecano, Ibrahima Konate, Jules Kounde, Lucas Digne, Adrien Rabiot, Aurelien Tchouameni, Bradley Barcola, Manu Kone, Desire Doue, Jean-Philippe Mateta
    - 客队 Senegal: 4-3-3 / manual / confirmed / confidence 0.78
      - 首发: Edouard Mendy, Abdoulaye Seck, Antoine Mendy, El Hadji Malick Diouf, Ilay Camara, Bara Sapoko Ndiaye, Habib Diarra, Idrissa Gana Gueye, Assane Diao, Bamba Dieng, Cherif Ndiaye

    ## Diagnosis / 综合诊断

    - Bayesian is higher on home win by 23.9pp. Likely evidence-layer effect (3 evidence items) rather than player-chain simulation.
    - Monte Carlo is higher on draw by 19.2pp. Likely generative simulation effect from squad duels, tempo, or factors (1 factor effects).

    ## Market Comparison / Polymarket 概率对照

    - 市场来源: The Odds API
    - 市场问题: Bookmaker h2h odds: France vs Senegal
    - 市场更新时间: 2026-06-16T09:26:22
    - 主队胜: 模型 50.2% / Polymarket 64.0% / 差值 -13.8pp
    - 平局: 模型 27.4% / Polymarket 21.6% / 差值 +5.7pp
    - 客队胜: 模型 22.5% / Polymarket 14.4% / 差值 +8.1pp

    ## Engine Raw Output / 引擎原始输出

    # Match Prediction Report
    ## World Cup 2026 Group Stage: France vs Senegal

    - **Venue**: neutral
    - **Referee**: TBD
    - **Confidence**: LOW
    - **Shared Baseline**: group / context quality 0.67

    ## Summary

    | Outcome | Bayesian | Monte Carlo | Averaged |
    |---------|----------|-------------|----------|
    | France Win | 62.1% | 38.2% | 50.2% |
    | Draw | 17.8% | 37.0% | 27.4% |
    | Senegal Win | 20.1% | 24.8% | 22.5% |

    ## Layer 1: Bayesian Analysis

    ### P0 (Elo Prior)
    - France Elo: 1877
    - Senegal Elo: 1689
    - P0: France 62.2% / Draw 17.7% / Senegal 20.1%

    ### Likelihood Updates
    - [home] France 4-2-3-1 lineup confirmed from manual; key starters: Adrien Rabiot, Aurelien Tchouameni, Manu Kone (±6%) — lineup
    - [away] Senegal 4-3-3 lineup confirmed from manual; key starters: Ilay Camara, Bara Sapoko Ndiaye, Habib Diarra (±6%) — lineup
    - [draw] Weather condition: rain (±6%) — simulation factors

    ### P1 (Final Bayesian)
    - France: 62.1%  |  Draw: 17.8%  |  Senegal: 20.1%

    ## Layer 2: Monte Carlo (FM-Style)

    - Simulations: 10,000
    - Avg Goals: France 0.84 / Senegal 0.60 / Total 1.44
    - Avg Shots: France 16.1 / Senegal 12.2
    - Conversion: France 5.2% / Senegal 4.9%
    - Avg Cards: 3.6

    ### Top Scorelines
    - France 0-0 Senegal: 23.6%
    - France 1-0 Senegal: 19.4%
    - France 0-1 Senegal: 14.4%
    - France 1-1 Senegal: 12.0%
    - France 2-0 Senegal: 8.6%

    ## Layer 3: Synthesis

    **Confidence: LOW** (max divergence: 23.9%)
    - Method weights: Bayesian 50% / Monte Carlo 50%
    - Rationale: Methods diverge materially; averaged estimate is shown, but confidence is low and diagnostics should drive interpretation.

    ### Divergence Analysis
    - Bayesian is higher on home win by 23.9pp. Likely evidence-layer effect (3 evidence items) rather than player-chain simulation.
    - Monte Carlo is higher on draw by 19.2pp. Likely generative simulation effect from squad duels, tempo, or factors (1 factor effects).

    ### Consensus Estimate
    - France: 50.2%  |  Draw: 27.4%  |  Senegal: 22.5%


    ## Disclaimer / 免责声明

    本报告仅供数据分析和赛前讨论参考,不构成投注、交易或投资建议。请理性看待体育赛事结果,远离非法赌博。
    回复 支持 反对

    使用道具 举报

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    2020-4-8 10:45
  • 签到天数: 227 天

    [LV.7]分神

    27#
     楼主| 发表于 昨天 09:44 | 只看该作者
    # 2026 世界杯预测报告:Iraq vs Norway

    - **预测时间**: 2026-06-16 09:44:18
    - **Run ID**: 20260616_094418
    - **比赛信息**: 第 18 场 · I组
    - **开球时间**: 2026-06-17 06:00 北京时间(原始:2026-06-16 18:00 local)
    - **场馆**: Boston Stadium · Boston
    - **贝叶斯数据更新时间**: 2026-06-16T09:43:35

    ## Key Takeaways / 关键判断与结论

    - 模型当前最倾向于“客队胜”,概率为 44.5%,领先第二选项 14.2 个百分点。
    - 综合置信度为中;模型分歧为 12.1%,分歧越低代表贝叶斯与蒙特卡洛结论越一致。
    - 对照 Polymarket,“客队胜”的模型概率低于市场 35.2 个百分点,可用于判断市场是否偏热或偏冷。
    - 本次贝叶斯上下文来源为 audited-live,更新时间为 2026-06-16T09:43:35。
    - 阵容数据存在未确认或未匹配项,建议先在阵容弹窗中手动修正首发名单。

    ## Synthesis / 综合概率

    - Iraq 胜: 30.3%
    - 平局: 25.2%
    - Norway 胜: 44.5%
    - 综合置信度: 中
    - 方法分歧: 12.1%

    ## Bayesian Analysis / 贝叶斯分析

    - 后验胜平负: Iraq 27.4% / 平局 22.1% / Norway 50.5%
    - Elo: 1455 vs 1551
    - audited recent form: Weighted recent form gap: home=0.51 vs away=0.72(幅度 2.4%)
    - lineup: Norway 4-3-3 lineup confirmed from expert; key starters: Kristian Thorstvedt, Patrick Berg, Sander Berge(幅度 3.8%)

    ## Bayesian Evidence Audit / 贝叶斯证据审计

    - Elo available: 可用
    - Lineups trusted: 不可用
    - Injuries trusted: 不可用
    - Recent form trusted: 可用
    - Weather available: 可用
    - Pitch available: 可用
    - Referee available: 不可用
    - 入模[form]: 最近五场加权状态差距达到阈值;已考虑赛事类型、时间衰减、对手强度和主客/中立场,作为低权重贝叶斯证据入模。;置信度 0.55
    - 入模[lineup]: 首发阵容已通过大名单匹配;官方/手动确认权重较高,专家预测首发仅低权重入模。;置信度 0.62
    - 原始伤停线索 4 条仅保存审计;未匹配或低可信内容不入模。

    ## Monte Carlo / 蒙特卡洛模拟

    - 模拟次数: 10000
    - 90分钟胜平负: Iraq 33.2% / 平局 28.3% / Norway 38.5%
    - 平均进球: 1.12 - 1.22
    - 90分钟结果: Iraq 33.2% / 平局 28.3% / Norway 38.5%

    ## Simulation Parameters / 模拟参数与外部因素

    - 随机种子: 1309429543
    - 模拟规则: 小组赛,90分钟允许平局
    - 天气: 晴朗; 温度 23.8°C; 风速 13 km/h; 湿度 40%; 来源 open-meteo
    - 场地: 草皮 unknown,质量 正常
    - 旅行/休息: 主队休息 7 天,客队休息 7 天,主队旅程 0 km,客队旅程 0 km
    - 因素影响: 未启用明显天气/场地调制,按中性条件模拟。

    ## Injury Mapping / 伤停映射

    - 暂无可映射伤停,Monte Carlo 阵容保持默认。

    ## Lineups / 阵容来源与匹配状态

    - 主队 Iraq: 4-2-3-1 / expert / predicted / confidence 0.74
      - 首发: Jalal Hassan, Hussein Ali, Rebin Sulaka, Zaid Tahseen, Merchas Doski, Amir Al-Ammari, Ibrahim Bayesh, Ali Jassim, Zidane Iqbal, Youssef Amyn, Aymen Hussein
    - 客队 Norway: 4-3-3 / expert / predicted / confidence 0.74
      - 首发: Orjan Nyland, Julian Ryerson, Torbjorn Heggem, Leo Skiri Ostigard, David Møller Wolfe, Kristian Thorstvedt, Patrick Berg, Sander Berge, Alexander Sorloth, Erling Haaland, Antonio Nusa
    - 阵容提醒: Iraq: Al-Ammari fuzzy matched to Amir Al-Ammari; please review.;Iraq lineup needs manual review.

    ## Diagnosis / 综合诊断

    - Bayesian is higher on away win by 12.1pp. Likely evidence-layer effect (2 evidence items) rather than player-chain simulation.

    ## Market Comparison / Polymarket 概率对照

    - 市场来源: The Odds API
    - 市场问题: Bookmaker h2h odds: Iraq vs Norway
    - 市场更新时间: 2026-06-16T09:43:35
    - 主队胜: 模型 30.3% / Polymarket 6.6% / 差值 +23.7pp
    - 平局: 模型 25.2% / Polymarket 13.7% / 差值 +11.5pp
    - 客队胜: 模型 44.5% / Polymarket 79.7% / 差值 -35.2pp

    ## Engine Raw Output / 引擎原始输出

    # Match Prediction Report
    ## World Cup 2026 Group Stage: Iraq vs Norway

    - **Venue**: neutral
    - **Referee**: TBD
    - **Confidence**: MEDIUM
    - **Shared Baseline**: group / context quality 0.67

    ## Summary

    | Outcome | Bayesian | Monte Carlo | Averaged |
    |---------|----------|-------------|----------|
    | Iraq Win | 27.4% | 33.2% | 30.3% |
    | Draw | 22.1% | 28.3% | 25.2% |
    | Norway Win | 50.5% | 38.5% | 44.5% |

    ## Layer 1: Bayesian Analysis

    ### P0 (Elo Prior)
    - Iraq Elo: 1455
    - Norway Elo: 1551
    - P0: Iraq 27.9% / Draw 22.3% / Norway 49.7%

    ### Likelihood Updates
    - [away] Weighted recent form gap: home=0.51 vs away=0.72 (±2%) — audited recent form
    - [away] Norway 4-3-3 lineup confirmed from expert; key starters: Kristian Thorstvedt, Patrick Berg, Sander Berge (±4%) — lineup

    ### P1 (Final Bayesian)
    - Iraq: 27.4%  |  Draw: 22.1%  |  Norway: 50.5%

    ## Layer 2: Monte Carlo (FM-Style)

    - Simulations: 10,000
    - Avg Goals: Iraq 1.12 / Norway 1.22 / Total 2.34
    - Avg Shots: Iraq 16.8 / Norway 17.9
    - Conversion: Iraq 6.7% / Norway 6.8%
    - Avg Cards: 3.6

    ### Top Scorelines
    - Iraq 1-1 Norway: 13.3%
    - Iraq 0-1 Norway: 11.6%
    - Iraq 1-0 Norway: 11.1%
    - Iraq 0-0 Norway: 9.3%
    - Iraq 1-2 Norway: 8.3%

    ## Layer 3: Synthesis

    **Confidence: MEDIUM** (max divergence: 12.1%)
    - Method weights: Bayesian 50% / Monte Carlo 50%
    - Rationale: Bayesian evidence posterior and Monte Carlo simulation share the same baseline; equal weights are used by default.

    ### Divergence Analysis
    - Bayesian is higher on away win by 12.1pp. Likely evidence-layer effect (2 evidence items) rather than player-chain simulation.

    ### Consensus Estimate
    - Iraq: 30.3%  |  Draw: 25.2%  |  Norway: 44.5%


    ## Disclaimer / 免责声明

    本报告仅供数据分析和赛前讨论参考,不构成投注、交易或投资建议。请理性看待体育赛事结果,远离非法赌博。
    回复 支持 反对

    使用道具 举报

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    2020-4-8 10:45
  • 签到天数: 227 天

    [LV.7]分神

    28#
     楼主| 发表于 昨天 09:47 | 只看该作者
    # 2026 世界杯预测报告:Argentina vs Algeria

    - **预测时间**: 2026-06-16 09:46:46
    - **Run ID**: 20260616_094646
    - **比赛信息**: 第 19 场 · J组
    - **开球时间**: 2026-06-17 09:00 北京时间(原始:2026-06-16 20:00 local)
    - **场馆**: Kansas City Stadium · Kansas City
    - **贝叶斯数据更新时间**: 2026-06-16T09:46:05

    ## Key Takeaways / 关键判断与结论

    - 模型当前最倾向于“主队胜”,概率为 57.6%,领先第二选项 36.0 个百分点。
    - 综合置信度为低;模型分歧为 36.4%,分歧越低代表贝叶斯与蒙特卡洛结论越一致。
    - 当前没有可标准化的 Polymarket 胜平负对照,市场概率不进入模型,只作为外部参考。
    - 本次贝叶斯上下文来源为 audited-live,更新时间为 2026-06-16T09:46:05。
    - 阵容数据存在未确认或未匹配项,建议先在阵容弹窗中手动修正首发名单。

    ## Synthesis / 综合概率

    - Argentina 胜: 57.6%
    - 平局: 20.8%
    - Algeria 胜: 21.6%
    - 综合置信度: 低
    - 方法分歧: 36.4%

    ## Bayesian Analysis / 贝叶斯分析

    - 后验胜平负: Argentina 75.8% / 平局 12.9% / Algeria 11.2%
    - Elo: 1875 vs 1564
    - audited recent form: Weighted recent form gap: home=1.00 vs away=0.66(幅度 3.7%)
    - lineup: Argentina 4-3-3 lineup confirmed from expert; key starters: Alexis Mac Allister, Enzo Fernandez, Leandro Paredes(幅度 3.8%)

    ## Bayesian Evidence Audit / 贝叶斯证据审计

    - Elo available: 可用
    - Lineups trusted: 不可用
    - Injuries trusted: 不可用
    - Recent form trusted: 可用
    - Weather available: 可用
    - Pitch available: 可用
    - Referee available: 不可用
    - 入模[form]: 最近五场加权状态差距达到阈值;已考虑赛事类型、时间衰减、对手强度和主客/中立场,作为低权重贝叶斯证据入模。;置信度 0.55
    - 入模[lineup]: 首发阵容已通过大名单匹配;官方/手动确认权重较高,专家预测首发仅低权重入模。;置信度 0.62
    - 原始伤停线索 7 条仅保存审计;未匹配或低可信内容不入模。

    ## Monte Carlo / 蒙特卡洛模拟

    - 模拟次数: 10000
    - 90分钟胜平负: Argentina 39.4% / 平局 28.6% / Algeria 32.0%
    - 平均进球: 1.20 - 1.04
    - 90分钟结果: Argentina 39.4% / 平局 28.6% / Algeria 32.0%

    ## Simulation Parameters / 模拟参数与外部因素

    - 随机种子: 1309429543
    - 模拟规则: 小组赛,90分钟允许平局
    - 天气: 晴朗; 温度 26.2°C; 风速 3.5 km/h; 湿度 29%; 来源 open-meteo
    - 场地: 草皮 unknown,质量 正常
    - 旅行/休息: 主队休息 7 天,客队休息 7 天,主队旅程 0 km,客队旅程 0 km
    - 因素影响: 未启用明显天气/场地调制,按中性条件模拟。

    ## Injury Mapping / 伤停映射

    - 暂无可映射伤停,Monte Carlo 阵容保持默认。

    ## Lineups / 阵容来源与匹配状态

    - 主队 Argentina: 4-3-3 / expert / predicted / confidence 0.74
      - 首发: Emiliano Martinez, Nahuel Molina, Nicolas Otamendi, Cristian Romero, Nicolas Tagliafico, Alexis Mac Allister, Leandro Paredes, Enzo Fernandez, Lionel Messi, Julian Alvarez, Thiago Almada
    - 客队 Algeria: 4-2-3-1 / expert / predicted / confidence 0.74
      - 首发: Luca Zidane, Rafik Belghali, Zinedine Belaid, Ramy Bensebaini, Rayan Ait-Nouri, Ramiz Zerrouki, Hicham Boudaoui, Riyad Mahrez, Houssem Aouar, Fares Chaibi, Amine Gouiri
    - 阵容提醒: Algeria: Ait-Nouri fuzzy matched to Rayan Ait-Nouri; please review.;Algeria lineup needs manual review.

    ## Diagnosis / 综合诊断

    - Bayesian is higher on home win by 36.4pp. Likely evidence-layer effect (2 evidence items) rather than player-chain simulation.
    - Monte Carlo is higher on draw by 15.7pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Monte Carlo is higher on away win by 20.8pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).

    ## Market Comparison / Polymarket 概率对照

    暂无 Polymarket 对照。

    ## Engine Raw Output / 引擎原始输出

    # Match Prediction Report
    ## World Cup 2026 Group Stage: Argentina vs Algeria

    - **Venue**: neutral
    - **Referee**: TBD
    - **Confidence**: LOW
    - **Shared Baseline**: group / context quality 0.67

    ## Summary

    | Outcome | Bayesian | Monte Carlo | Averaged |
    |---------|----------|-------------|----------|
    | Argentina Win | 75.8% | 39.4% | 57.6% |
    | Draw | 12.9% | 28.6% | 20.8% |
    | Algeria Win | 11.2% | 32.0% | 21.6% |

    ## Layer 1: Bayesian Analysis

    ### P0 (Elo Prior)
    - Argentina Elo: 1875
    - Algeria Elo: 1564
    - P0: Argentina 75.1% / Draw 13.2% / Algeria 11.6%

    ### Likelihood Updates
    - [home] Weighted recent form gap: home=1.00 vs away=0.66 (±4%) — audited recent form
    - [home] Argentina 4-3-3 lineup confirmed from expert; key starters: Alexis Mac Allister, Enzo Fernandez, Leandro Paredes (±4%) — lineup

    ### P1 (Final Bayesian)
    - Argentina: 75.8%  |  Draw: 12.9%  |  Algeria: 11.2%

    ## Layer 2: Monte Carlo (FM-Style)

    - Simulations: 10,000
    - Avg Goals: Argentina 1.20 / Algeria 1.04 / Total 2.24
    - Avg Shots: Argentina 18.3 / Algeria 16.0
    - Conversion: Argentina 6.6% / Algeria 6.5%
    - Avg Cards: 3.6

    ### Top Scorelines
    - Argentina 1-1 Algeria: 13.4%
    - Argentina 1-0 Algeria: 12.4%
    - Argentina 0-1 Algeria: 11.5%
    - Argentina 0-0 Algeria: 10.2%
    - Argentina 2-1 Algeria: 8.2%

    ## Layer 3: Synthesis

    **Confidence: LOW** (max divergence: 36.4%)
    - Method weights: Bayesian 50% / Monte Carlo 50%
    - Rationale: Methods diverge materially; averaged estimate is shown, but confidence is low and diagnostics should drive interpretation.

    ### Divergence Analysis
    - Bayesian is higher on home win by 36.4pp. Likely evidence-layer effect (2 evidence items) rather than player-chain simulation.
    - Monte Carlo is higher on draw by 15.7pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Monte Carlo is higher on away win by 20.8pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).

    ### Consensus Estimate
    - Argentina: 57.6%  |  Draw: 20.8%  |  Algeria: 21.6%


    ## Disclaimer / 免责声明

    本报告仅供数据分析和赛前讨论参考,不构成投注、交易或投资建议。请理性看待体育赛事结果,远离非法赌博。
    回复 支持 反对

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  • TA的每日心情
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    2020-4-8 10:45
  • 签到天数: 227 天

    [LV.7]分神

    29#
     楼主| 发表于 昨天 09:53 | 只看该作者
    # 2026 世界杯预测报告:Austria vs Jordan

    - **预测时间**: 2026-06-16 09:52:47
    - **Run ID**: 20260616_095247
    - **比赛信息**: 第 20 场 · J组
    - **开球时间**: 2026-06-17 12:00 北京时间(原始:2026-06-16 21:00 local)
    - **场馆**: San Francisco Bay Area Stadium · San Francisco Bay Area
    - **贝叶斯数据更新时间**: 2026-06-16T09:52:26

    ## Key Takeaways / 关键判断与结论

    - 模型当前最倾向于“主队胜”,概率为 49.9%,领先第二选项 22.5 个百分点。
    - 综合置信度为低;模型分歧为 21.9%,分歧越低代表贝叶斯与蒙特卡洛结论越一致。
    - 当前没有可标准化的 Polymarket 胜平负对照,市场概率不进入模型,只作为外部参考。
    - 本次贝叶斯上下文来源为 audited-live,更新时间为 2026-06-16T09:52:26。
    - 阵容数据存在未确认或未匹配项,建议先在阵容弹窗中手动修正首发名单。

    ## Synthesis / 综合概率

    - Austria 胜: 49.9%
    - 平局: 22.7%
    - Jordan 胜: 27.4%
    - 综合置信度: 低
    - 方法分歧: 21.9%

    ## Bayesian Analysis / 贝叶斯分析

    - 后验胜平负: Austria 60.9% / 平局 18.2% / Jordan 20.9%
    - Elo: 1593 vs 1420
    - audited recent form: Weighted recent form gap: home=0.83 vs away=0.32(幅度 5.7%)

    ## Bayesian Evidence Audit / 贝叶斯证据审计

    - Elo available: 可用
    - Lineups trusted: 不可用
    - Injuries trusted: 不可用
    - Recent form trusted: 可用
    - Weather available: 可用
    - Pitch available: 可用
    - Referee available: 不可用
    - 入模[form]: 最近五场加权状态差距达到阈值;已考虑赛事类型、时间衰减、对手强度和主客/中立场,作为低权重贝叶斯证据入模。;置信度 0.55
    - 原始伤停线索 5 条仅保存审计;未匹配或低可信内容不入模。

    ## Monte Carlo / 蒙特卡洛模拟

    - 模拟次数: 10000
    - 90分钟胜平负: Austria 38.9% / 平局 27.3% / Jordan 33.8%
    - 平均进球: 1.24 - 1.14
    - 90分钟结果: Austria 38.9% / 平局 27.3% / Jordan 33.8%

    ## Simulation Parameters / 模拟参数与外部因素

    - 随机种子: 1309429543
    - 模拟规则: 小组赛,90分钟允许平局
    - 天气: 晴朗; 温度 16°C; 风速 10.4 km/h; 湿度 82%; 来源 open-meteo
    - 场地: 草皮 unknown,质量 正常
    - 旅行/休息: 主队休息 7 天,客队休息 7 天,主队旅程 0 km,客队旅程 0 km
    - 因素影响: 未启用明显天气/场地调制,按中性条件模拟。

    ## Injury Mapping / 伤停映射

    - 暂无可映射伤停,Monte Carlo 阵容保持默认。

    ## Lineups / 阵容来源与匹配状态

    - 主队 Austria: 4-2-3-1 / roster-default / needs-confirmation / confidence 0.28
      - 首发: Alexander Schlager, Alexander Prass, David Affengruber, David Alaba, Kevin Danso, Alessandro Schöpf, Carney Chukwuemeka, Christoph Baumgartner, Florian Grillitsch, Konrad Laimer, Marko Arnautovic
    - 客队 Jordan: 5-3-2 / roster-default / needs-confirmation / confidence 0.28
      - 首发: Abdallah Al Fakhouri, Abdallah Nasib, Anas Banawi, Ehsan Haddad, Husam Abu Dahab, Mohammad Abu Hashish, Amer Jamous, Ibrahim Sadeh, Mahmoud Al-Mardi ., Ali Azaizeh, Ali Olwan
    - 阵容提醒: Austria: no reliable predicted/recent XI available; using roster-default starters by formation slots. Please confirm manually.;External formation source was not parsed; using local tactical profile fallback.;Austria lineup needs manual review.;Jordan: no reliable predicted/recent XI available; using roster-default starters by formation slots. Please confirm manually.;External formation source was not parsed; using local tactical profile fallback.;Jordan lineup needs manual review.

    ## Diagnosis / 综合诊断

    - Bayesian is higher on home win by 21.9pp. Likely evidence-layer effect (1 evidence items) rather than player-chain simulation.
    - Monte Carlo is higher on draw by 9.1pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Monte Carlo is higher on away win by 12.9pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).

    ## Market Comparison / Polymarket 概率对照

    暂无 Polymarket 对照。

    ## Engine Raw Output / 引擎原始输出

    # Match Prediction Report
    ## World Cup 2026 Group Stage: Austria vs Jordan

    - **Venue**: neutral
    - **Referee**: TBD
    - **Confidence**: LOW
    - **Shared Baseline**: group / context quality 0.67

    ## Summary

    | Outcome | Bayesian | Monte Carlo | Averaged |
    |---------|----------|-------------|----------|
    | Austria Win | 60.9% | 38.9% | 49.9% |
    | Draw | 18.2% | 27.3% | 22.7% |
    | Jordan Win | 20.9% | 33.8% | 27.4% |

    ## Layer 1: Bayesian Analysis

    ### P0 (Elo Prior)
    - Austria Elo: 1593
    - Jordan Elo: 1420
    - P0: Austria 60.3% / Draw 18.4% / Jordan 21.3%

    ### Likelihood Updates
    - [home] Weighted recent form gap: home=0.83 vs away=0.32 (±6%) — audited recent form

    ### P1 (Final Bayesian)
    - Austria: 60.9%  |  Draw: 18.2%  |  Jordan: 20.9%

    ## Layer 2: Monte Carlo (FM-Style)

    - Simulations: 10,000
    - Avg Goals: Austria 1.24 / Jordan 1.14 / Total 2.38
    - Avg Shots: Austria 18.2 / Jordan 16.9
    - Conversion: Austria 6.8% / Jordan 6.7%
    - Avg Cards: 3.6

    ### Top Scorelines
    - Austria 1-1 Jordan: 13.5%
    - Austria 1-0 Jordan: 11.8%
    - Austria 0-1 Jordan: 10.6%
    - Austria 0-0 Jordan: 8.5%
    - Austria 2-1 Jordan: 8.4%

    ## Layer 3: Synthesis

    **Confidence: LOW** (max divergence: 21.9%)
    - Method weights: Bayesian 50% / Monte Carlo 50%
    - Rationale: Methods diverge materially; averaged estimate is shown, but confidence is low and diagnostics should drive interpretation.

    ### Divergence Analysis
    - Bayesian is higher on home win by 21.9pp. Likely evidence-layer effect (1 evidence items) rather than player-chain simulation.
    - Monte Carlo is higher on draw by 9.1pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Monte Carlo is higher on away win by 12.9pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).

    ### Consensus Estimate
    - Austria: 49.9%  |  Draw: 22.7%  |  Jordan: 27.4%


    ## Disclaimer / 免责声明

    本报告仅供数据分析和赛前讨论参考,不构成投注、交易或投资建议。请理性看待体育赛事结果,远离非法赌博。
    回复 支持 反对

    使用道具 举报

  • TA的每日心情
    开心
    2020-4-8 10:45
  • 签到天数: 227 天

    [LV.7]分神

    30#
     楼主| 发表于 4 小时前 | 只看该作者
    # 2026 世界杯预测报告:Ghana vs Panama

    - **预测时间**: 2026-06-17 16:03:50
    - **Run ID**: 20260617_160350
    - **比赛信息**: 第 21 场 · L组
    - **开球时间**: 2026-06-18 07:00 北京时间(原始:2026-06-17 19:00 local)
    - **场馆**: Toronto Stadium · Toronto
    - **贝叶斯数据更新时间**: 2026-06-17T16:03:39

    ## Key Takeaways / 关键判断与结论

    - 模型当前最倾向于“客队胜”,概率为 45.5%,领先第二选项 14.1 个百分点。
    - 综合置信度为低;模型分歧为 25.0%,分歧越低代表贝叶斯与蒙特卡洛结论越一致。
    - 对照 Polymarket,“客队胜”的模型概率高于市场 16.0 个百分点,可用于判断市场是否偏热或偏冷。
    - 本次贝叶斯上下文来源为 audited-live,更新时间为 2026-06-17T16:03:39。
    - 本次预测已使用手动/外部阵容覆盖默认首发,贝叶斯与蒙特卡洛共享同一套首发名单。

    ## Synthesis / 综合概率

    - Ghana 胜: 31.4%
    - 平局: 23.0%
    - Panama 胜: 45.5%
    - 综合置信度: 低
    - 方法分歧: 25.0%

    ## Bayesian Analysis / 贝叶斯分析

    - 后验胜平负: Ghana 24.0% / 平局 17.9% / Panama 58.1%
    - Elo: 1370 vs 1541
    - mapped team news: Adalberto Carrasquilla injury mapped (major)(幅度 13.0%)
    - audited recent form: Weighted recent form gap: home=0.10 vs away=0.50(幅度 4.4%)
    - lineup: Ghana 4-3-3 lineup confirmed from manual; key starters: Augustine Boakye, Caleb Yirenkyi, Abdul Fatawu Issahaku(幅度 6.5%)
    - lineup: Panama 4-4-2 lineup confirmed from manual; key starters: Adalberto Carrasquilla, Alberto Quintero, Anibal Godoy(幅度 6.5%)

    ## Bayesian Evidence Audit / 贝叶斯证据审计

    - Elo available: 可用
    - Lineups trusted: 不可用
    - Injuries trusted: 可用
    - Recent form trusted: 可用
    - Weather available: 可用
    - Pitch available: 可用
    - Referee available: 不可用
    - 入模[injury]: 伤停已映射到球队球员,且严重度明确;因此以保守权重影响对手方向。;置信度 0.85
    - 入模[form]: 最近五场加权状态差距达到阈值;已考虑赛事类型、时间衰减、对手强度和主客/中立场,作为低权重贝叶斯证据入模。;置信度 0.55
    - 入模[lineup]: 首发阵容已通过大名单匹配;官方/手动确认权重较高,专家预测首发仅低权重入模。;置信度 0.78
    - 入模[lineup]: 首发阵容已通过大名单匹配;官方/手动确认权重较高,专家预测首发仅低权重入模。;置信度 0.78
    - 原始伤停线索 8 条仅保存审计;未匹配或低可信内容不入模。

    ## Monte Carlo / 蒙特卡洛模拟

    - 模拟次数: 10000
    - 90分钟胜平负: Ghana 38.9% / 平局 28.1% / Panama 33.0%
    - 平均进球: 1.15 - 1.05
    - 90分钟结果: Ghana 38.9% / 平局 28.1% / Panama 33.0%

    ## Simulation Parameters / 模拟参数与外部因素

    - 随机种子: 1309429543
    - 模拟规则: 小组赛,90分钟允许平局
    - 天气: 晴朗; 温度 21°C; 风速 15.2 km/h; 湿度 53%; 来源 open-meteo
    - 场地: 草皮 unknown,质量 正常
    - 旅行/休息: 主队休息 7 天,客队休息 7 天,主队旅程 0 km,客队旅程 0 km
    - 因素影响: 未启用明显天气/场地调制,按中性条件模拟。

    ## Injury Mapping / 伤停映射

    - Panama: {'headline': '2026 World Cup: Panama star Adalberto Carrasquilla could miss opener against Ghana due to injury', 'team': 'Panama', 'sourceType': 'google-news-raw', 'status': 'candidate', 'applied': False, 'warnings': [], 'matchedPlayers': ['adalberto carrasquilla'], 'confidence': 0.72} -> 命中 Adalberto Carrasquilla,明确缺阵/重罚。

    ## Lineups / 阵容来源与匹配状态

    - 主队 Ghana: 4-3-3 / manual / confirmed / confidence 0.78
      - 首发: Benjamin Asare, Abdul Mumin, Alidu Seidu, Baba Abdul Rahman, Derrick Luckassen, Abdul Fatawu Issahaku, Augustine Boakye, Caleb Yirenkyi, Antoine Semenyo, Brandon Thomas-Asante, Christopher Bonsu Baah
    - 客队 Panama: 4-4-2 / manual / confirmed / confidence 0.78
      - 首发: Cesar Samudio, Amir Murillo, Andres Andrade, Cesar Blackman, Edgardo Farina, Adalberto Carrasquilla, Alberto Quintero, Anibal Godoy, Azarias Londono, Cecilio Waterman, Ismael Diaz

    ## Diagnosis / 综合诊断

    - Monte Carlo is higher on home win by 14.9pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Monte Carlo is higher on draw by 10.2pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Bayesian is higher on away win by 25.0pp. Likely evidence-layer effect (4 evidence items) rather than player-chain simulation.

    ## Market Comparison / Polymarket 概率对照

    - 市场来源: The Odds API
    - 市场问题: Bookmaker h2h odds: Ghana vs Panama
    - 市场更新时间: 2026-06-17T16:03:39
    - 主队胜: 模型 31.4% / Polymarket 40.6% / 差值 -9.1pp
    - 平局: 模型 23.0% / Polymarket 29.9% / 差值 -6.9pp
    - 客队胜: 模型 45.5% / Polymarket 29.6% / 差值 +16.0pp

    ## Engine Raw Output / 引擎原始输出

    # Match Prediction Report
    ## World Cup 2026 Group Stage: Ghana vs Panama

    - **Venue**: neutral
    - **Referee**: TBD
    - **Confidence**: LOW
    - **Shared Baseline**: group / context quality 0.83

    ## Summary

    | Outcome | Bayesian | Monte Carlo | Averaged |
    |---------|----------|-------------|----------|
    | Ghana Win | 24.0% | 38.9% | 31.4% |
    | Draw | 17.9% | 28.1% | 23.0% |
    | Panama Win | 58.1% | 33.0% | 45.5% |

    ## Layer 1: Bayesian Analysis

    ### P0 (Elo Prior)
    - Ghana Elo: 1370
    - Panama Elo: 1541
    - P0: Ghana 21.5% / Draw 18.5% / Panama 60.0%

    ### Likelihood Updates
    - [home] Adalberto Carrasquilla injury mapped (major) (±13%) — mapped team news
    - [away] Weighted recent form gap: home=0.10 vs away=0.50 (±4%) — audited recent form
    - [home] Ghana 4-3-3 lineup confirmed from manual; key starters: Augustine Boakye, Caleb Yirenkyi, Abdul Fatawu Issahaku (±6%) — lineup
    - [away] Panama 4-4-2 lineup confirmed from manual; key starters: Adalberto Carrasquilla, Alberto Quintero, Anibal Godoy (±6%) — lineup

    ### P1 (Final Bayesian)
    - Ghana: 24.0%  |  Draw: 17.9%  |  Panama: 58.1%

    ## Layer 2: Monte Carlo (FM-Style)

    - Simulations: 10,000
    - Avg Goals: Ghana 1.15 / Panama 1.05 / Total 2.20
    - Avg Shots: Ghana 16.8 / Panama 15.6
    - Conversion: Ghana 6.8% / Panama 6.7%
    - Avg Cards: 3.7

    ### Top Scorelines
    - Ghana 1-1 Panama: 13.1%
    - Ghana 1-0 Panama: 13.1%
    - Ghana 0-1 Panama: 11.8%
    - Ghana 0-0 Panama: 10.2%
    - Ghana 2-1 Panama: 8.6%

    ## Layer 3: Synthesis

    **Confidence: LOW** (max divergence: 25.0%)
    - Method weights: Bayesian 50% / Monte Carlo 50%
    - Rationale: Methods diverge materially; averaged estimate is shown, but confidence is low and diagnostics should drive interpretation.

    ### Divergence Analysis
    - Monte Carlo is higher on home win by 14.9pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Monte Carlo is higher on draw by 10.2pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Bayesian is higher on away win by 25.0pp. Likely evidence-layer effect (4 evidence items) rather than player-chain simulation.

    ### Consensus Estimate
    - Ghana: 31.4%  |  Draw: 23.0%  |  Panama: 45.5%


    ## Disclaimer / 免责声明

    本报告仅供数据分析和赛前讨论参考,不构成投注、交易或投资建议。请理性看待体育赛事结果,远离非法赌博。


    这场算法跑下来非常看好巴拿马,不知道为啥。
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  • TA的每日心情
    开心
    2020-4-8 10:45
  • 签到天数: 227 天

    [LV.7]分神

    31#
     楼主| 发表于 4 小时前 | 只看该作者
    # 2026 世界杯预测报告:England vs Croatia

    - **预测时间**: 2026-06-17 16:18:24
    - **Run ID**: 20260617_161824
    - **比赛信息**: 第 22 场 · L组
    - **开球时间**: 2026-06-18 04:00 北京时间(原始:2026-06-17 15:00 local)
    - **场馆**: Dallas Stadium · Dallas
    - **贝叶斯数据更新时间**: 2026-06-17T16:17:36

    ## Key Takeaways / 关键判断与结论

    - 模型当前最倾向于“主队胜”,概率为 42.8%,领先第二选项 13.5 个百分点。
    - 综合置信度为低;模型分歧为 17.4%,分歧越低代表贝叶斯与蒙特卡洛结论越一致。
    - 对照 Polymarket,“主队胜”的模型概率低于市场 12.6 个百分点,可用于判断市场是否偏热或偏冷。
    - 本次贝叶斯上下文来源为 audited-live,更新时间为 2026-06-17T16:17:36。
    - 本次预测已使用手动/外部阵容覆盖默认首发,贝叶斯与蒙特卡洛共享同一套首发名单。

    ## Synthesis / 综合概率

    - England 胜: 42.8%
    - 平局: 27.8%
    - Croatia 胜: 29.3%
    - 综合置信度: 低
    - 方法分歧: 17.4%

    ## Bayesian Analysis / 贝叶斯分析

    - 后验胜平负: England 51.5% / 平局 21.7% / Croatia 26.8%
    - Elo: 1826 vs 1717
    - lineup: England 4-2-3-1 lineup confirmed from manual; key starters: Declan Rice, Eberechi Eze, Elliot Anderson(幅度 6.5%)
    - lineup: Croatia 4-2-3-1 lineup confirmed from manual; key starters: Luka Sucic, Luka Modric, Mario Pasalic(幅度 6.5%)
    - simulation factors: Weather condition: rain(幅度 6.0%)

    ## Bayesian Evidence Audit / 贝叶斯证据审计

    - Elo available: 可用
    - Lineups trusted: 不可用
    - Injuries trusted: 不可用
    - Recent form trusted: 可用
    - Weather available: 可用
    - Pitch available: 可用
    - Referee available: 不可用
    - 入模[lineup]: 首发阵容已通过大名单匹配;官方/手动确认权重较高,专家预测首发仅低权重入模。;置信度 0.78
    - 入模[lineup]: 首发阵容已通过大名单匹配;官方/手动确认权重较高,专家预测首发仅低权重入模。;置信度 0.78
    - 入模[weather]: 雨雪会降低传控和推进稳定性,贝叶斯侧只轻微提高平局/低比分倾向。;置信度 0.55
    - 原始伤停线索 9 条仅保存审计;未匹配或低可信内容不入模。

    ## Monte Carlo / 蒙特卡洛模拟

    - 模拟次数: 10000
    - 90分钟胜平负: England 34.1% / 平局 33.9% / Croatia 31.9%
    - 平均进球: 0.87 - 0.82
    - 90分钟结果: England 34.1% / 平局 33.9% / Croatia 31.9%

    ## Simulation Parameters / 模拟参数与外部因素

    - 随机种子: 1309429543
    - 模拟规则: 小组赛,90分钟允许平局
    - 天气: 雨天; 温度 32.1°C; 风速 22.1 km/h; 湿度 61%; 来源 open-meteo
    - 场地: 草皮 unknown,质量 正常
    - 旅行/休息: 主队休息 7 天,客队休息 7 天,主队旅程 0 km,客队旅程 0 km
    - 因素影响: 雨雪天气:传球、盘带和射门稳定性下降,比赛节奏降低。

    ## Injury Mapping / 伤停映射

    - 暂无可映射伤停,Monte Carlo 阵容保持默认。

    ## Lineups / 阵容来源与匹配状态

    - 主队 England: 4-2-3-1 / manual / confirmed / confidence 0.78
      - 首发: Dean Henderson, Dan Burn, Djed Spence, Ezri Konsa, Jarell Quansah, Declan Rice, Eberechi Eze, Anthony Gordon, Elliot Anderson, Bukayo Saka, Harry Kane
    - 客队 Croatia: 4-2-3-1 / manual / confirmed / confidence 0.78
      - 首发: Dominik Livakovic, Josip Stanisic, Josip Sutalo, Duje Caleta-Car, Josko Gvardiol, Luka Sucic, Luka Modric, Mario Pasalic, Andrej Kramaric, Ivan Perisic, Ante Budimir

    ## Diagnosis / 综合诊断

    - Bayesian is higher on home win by 17.4pp. Likely evidence-layer effect (3 evidence items) rather than player-chain simulation.
    - Monte Carlo is higher on draw by 12.2pp. Likely generative simulation effect from squad duels, tempo, or factors (1 factor effects).

    ## Market Comparison / Polymarket 概率对照

    - 市场来源: The Odds API
    - 市场问题: Bookmaker h2h odds: England vs Croatia
    - 市场更新时间: 2026-06-17T16:17:36
    - 主队胜: 模型 42.8% / Polymarket 55.4% / 差值 -12.6pp
    - 平局: 模型 27.8% / Polymarket 25.6% / 差值 +2.2pp
    - 客队胜: 模型 29.3% / Polymarket 19.0% / 差值 +10.4pp

    ## Engine Raw Output / 引擎原始输出

    # Match Prediction Report
    ## World Cup 2026 Group Stage: England vs Croatia

    - **Venue**: neutral
    - **Referee**: TBD
    - **Confidence**: LOW
    - **Shared Baseline**: group / context quality 0.67

    ## Summary

    | Outcome | Bayesian | Monte Carlo | Averaged |
    |---------|----------|-------------|----------|
    | England Win | 51.5% | 34.1% | 42.8% |
    | Draw | 21.7% | 33.9% | 27.8% |
    | Croatia Win | 26.8% | 31.9% | 29.3% |

    ## Layer 1: Bayesian Analysis

    ### P0 (Elo Prior)
    - England Elo: 1826
    - Croatia Elo: 1717
    - P0: England 51.6% / Draw 21.6% / Croatia 26.8%

    ### Likelihood Updates
    - [home] England 4-2-3-1 lineup confirmed from manual; key starters: Declan Rice, Eberechi Eze, Elliot Anderson (±6%) — lineup
    - [away] Croatia 4-2-3-1 lineup confirmed from manual; key starters: Luka Sucic, Luka Modric, Mario Pasalic (±6%) — lineup
    - [draw] Weather condition: rain (±6%) — simulation factors

    ### P1 (Final Bayesian)
    - England: 51.5%  |  Draw: 21.7%  |  Croatia: 26.8%

    ## Layer 2: Monte Carlo (FM-Style)

    - Simulations: 10,000
    - Avg Goals: England 0.87 / Croatia 0.82 / Total 1.69
    - Avg Shots: England 16.2 / Croatia 15.5
    - Conversion: England 5.3% / Croatia 5.3%
    - Avg Cards: 3.6

    ### Top Scorelines
    - England 0-0 Croatia: 18.2%
    - England 1-0 Croatia: 15.5%
    - England 0-1 Croatia: 15.3%
    - England 1-1 Croatia: 13.1%
    - England 2-0 Croatia: 7.1%

    ## Layer 3: Synthesis

    **Confidence: LOW** (max divergence: 17.4%)
    - Method weights: Bayesian 50% / Monte Carlo 50%
    - Rationale: Methods diverge materially; averaged estimate is shown, but confidence is low and diagnostics should drive interpretation.

    ### Divergence Analysis
    - Bayesian is higher on home win by 17.4pp. Likely evidence-layer effect (3 evidence items) rather than player-chain simulation.
    - Monte Carlo is higher on draw by 12.2pp. Likely generative simulation effect from squad duels, tempo, or factors (1 factor effects).

    ### Consensus Estimate
    - England: 42.8%  |  Draw: 27.8%  |  Croatia: 29.3%


    ## Disclaimer / 免责声明

    本报告仅供数据分析和赛前讨论参考,不构成投注、交易或投资建议。请理性看待体育赛事结果,远离非法赌博。
    回复 支持 反对

    使用道具 举报

  • TA的每日心情
    开心
    2020-4-8 10:45
  • 签到天数: 227 天

    [LV.7]分神

    32#
     楼主| 发表于 4 小时前 | 只看该作者
    # 2026 世界杯预测报告:Portugal vs Congo DR

    - **预测时间**: 2026-06-17 16:24:35
    - **Run ID**: 20260617_162435
    - **比赛信息**: 第 23 场 · K组
    - **开球时间**: 2026-06-18 01:00 北京时间(原始:2026-06-17 12:00 local)
    - **场馆**: Houston Stadium · Houston
    - **贝叶斯数据更新时间**: 2026-06-17T16:24:18

    ## Key Takeaways / 关键判断与结论

    - 模型当前最倾向于“主队胜”,概率为 38.1%,领先第二选项 3.5 个百分点。
    - 综合置信度为低;模型分歧为 40.0%,分歧越低代表贝叶斯与蒙特卡洛结论越一致。
    - 当前没有可标准化的 Polymarket 胜平负对照,市场概率不进入模型,只作为外部参考。
    - 本次贝叶斯上下文来源为 audited-live,更新时间为 2026-06-17T16:24:18。
    - 阵容数据存在未确认或未匹配项,建议先在阵容弹窗中手动修正首发名单。

    ## Synthesis / 综合概率

    - Portugal 胜: 38.1%
    - 平局: 27.2%
    - Congo DR 胜: 34.7%
    - 综合置信度: 低
    - 方法分歧: 40.0%

    ## Bayesian Analysis / 贝叶斯分析

    - 后验胜平负: Portugal 24.8% / 平局 20.5% / Congo DR 54.7%
    - Elo: 1764 vs 1900.0
    - lineup: Portugal 4-3-3 lineup confirmed from expert; key starters: Bruno Fernandes, Vitinha, Ruben Dias(幅度 3.8%)
    - simulation factors: Pitch quality: heavy(幅度 4.0%)

    ## Bayesian Evidence Audit / 贝叶斯证据审计

    - Elo available: 可用
    - Lineups trusted: 不可用
    - Injuries trusted: 不可用
    - Recent form trusted: 不可用
    - Weather available: 可用
    - Pitch available: 可用
    - Referee available: 不可用
    - 入模[lineup]: 首发阵容已通过大名单匹配;官方/手动确认权重较高,专家预测首发仅低权重入模。;置信度 0.62
    - 入模[pitch]: 沉重或较差场地会压低进攻流畅度,因此只轻微提高平局倾向。;置信度 0.5
    - 原始伤停线索 7 条仅保存审计;未匹配或低可信内容不入模。

    ## Monte Carlo / 蒙特卡洛模拟

    - 模拟次数: 10000
    - 90分钟胜平负: Portugal 51.5% / 平局 33.9% / Congo DR 14.6%
    - 平均进球: 1.07 - 0.42
    - 90分钟结果: Portugal 51.5% / 平局 33.9% / Congo DR 14.6%

    ## Simulation Parameters / 模拟参数与外部因素

    - 随机种子: 1309429543
    - 模拟规则: 小组赛,90分钟允许平局
    - 天气: 晴朗; 温度 24.9°C; 风速 27.2 km/h; 湿度 88%; 来源 open-meteo
    - 场地: 草皮 unknown,质量 偏重
    - 旅行/休息: 主队休息 7 天,客队休息 7 天,主队旅程 0 km,客队旅程 0 km
    - 因素影响: 场地偏重或质量较差:传球和盘带成功率下降。

    ## Injury Mapping / 伤停映射

    - 暂无可映射伤停,Monte Carlo 阵容保持默认。

    ## Lineups / 阵容来源与匹配状态

    - 主队 Portugal: 4-3-3 / expert / predicted / confidence 0.74
      - 首发: Diogo Costa, Joao Cancelo, Ruben Dias, Goncalo Inacio, Nuno Mendes, Joao Neves, Vitinha, Bruno Fernandes, Bernardo Silva, Cristiano Ronaldo, Joao Felix
    - 客队 Congo DR: 4-3-3 / roster-default / needs-confirmation / confidence 0.28
      - 首发: Mpasi, Kayembe, Inonga, Mbemba, Masuaku, Pickel, Moutoussamy, Elia, Mayele, Bakambu, Kakuta
    - 阵容提醒: Congo DR: no reliable predicted/recent XI available; using roster-default starters by formation slots. Please confirm manually.;External formation source was not parsed; using local tactical profile fallback.;Congo DR lineup needs manual review.

    ## Diagnosis / 综合诊断

    - Monte Carlo is higher on home win by 26.7pp. Likely generative simulation effect from squad duels, tempo, or factors (1 factor effects).
    - Monte Carlo is higher on draw by 13.4pp. Likely generative simulation effect from squad duels, tempo, or factors (1 factor effects).
    - Bayesian is higher on away win by 40.0pp. Likely evidence-layer effect (2 evidence items) rather than player-chain simulation.

    ## Market Comparison / Polymarket 概率对照

    暂无 Polymarket 对照。

    ## Engine Raw Output / 引擎原始输出

    # Match Prediction Report
    ## World Cup 2026 Group Stage: Portugal vs Congo DR

    - **Venue**: neutral
    - **Referee**: TBD
    - **Confidence**: LOW
    - **Shared Baseline**: group / context quality 0.5

    ## Summary

    | Outcome | Bayesian | Monte Carlo | Averaged |
    |---------|----------|-------------|----------|
    | Portugal Win | 24.8% | 51.5% | 38.1% |
    | Draw | 20.5% | 33.9% | 27.2% |
    | Congo DR Win | 54.7% | 14.6% | 34.7% |

    ## Layer 1: Bayesian Analysis

    ### P0 (Elo Prior)
    - Portugal Elo: 1764
    - Congo DR Elo: 1900.0
    - P0: Portugal 24.5% / Draw 20.2% / Congo DR 55.3%

    ### Likelihood Updates
    - [home] Portugal 4-3-3 lineup confirmed from expert; key starters: Bruno Fernandes, Vitinha, Ruben Dias (±4%) — lineup
    - [draw] Pitch quality: heavy (±4%) — simulation factors

    ### P1 (Final Bayesian)
    - Portugal: 24.8%  |  Draw: 20.5%  |  Congo DR: 54.7%

    ## Layer 2: Monte Carlo (FM-Style)

    - Simulations: 10,000
    - Avg Goals: Portugal 1.07 / Congo DR 0.42 / Total 1.49
    - Avg Shots: Portugal 15.4 / Congo DR 7.8
    - Conversion: Portugal 6.9% / Congo DR 5.4%
    - Avg Cards: 3.6

    ### Top Scorelines
    - Portugal 1-0 Congo DR: 23.5%
    - Portugal 0-0 Congo DR: 22.5%
    - Portugal 2-0 Congo DR: 13.4%
    - Portugal 1-1 Congo DR: 10.2%
    - Portugal 0-1 Congo DR: 9.5%

    ## Layer 3: Synthesis

    **Confidence: LOW** (max divergence: 40.0%)
    - Method weights: Bayesian 50% / Monte Carlo 50%
    - Rationale: Methods diverge materially; averaged estimate is shown, but confidence is low and diagnostics should drive interpretation.

    ### Divergence Analysis
    - Monte Carlo is higher on home win by 26.7pp. Likely generative simulation effect from squad duels, tempo, or factors (1 factor effects).
    - Monte Carlo is higher on draw by 13.4pp. Likely generative simulation effect from squad duels, tempo, or factors (1 factor effects).
    - Bayesian is higher on away win by 40.0pp. Likely evidence-layer effect (2 evidence items) rather than player-chain simulation.

    ### Consensus Estimate
    - Portugal: 38.1%  |  Draw: 27.2%  |  Congo DR: 34.7%


    ## Disclaimer / 免责声明

    本报告仅供数据分析和赛前讨论参考,不构成投注、交易或投资建议。请理性看待体育赛事结果,远离非法赌博。
    回复 支持 反对

    使用道具 举报

  • TA的每日心情
    开心
    2020-4-8 10:45
  • 签到天数: 227 天

    [LV.7]分神

    33#
     楼主| 发表于 4 小时前 | 只看该作者
    # 2026 世界杯预测报告:Uzbekistan vs Colombia

    - **预测时间**: 2026-06-17 16:28:11
    - **Run ID**: 20260617_162811
    - **比赛信息**: 第 24 场 · K组
    - **开球时间**: 2026-06-18 10:00 北京时间(原始:2026-06-17 20:00 local)
    - **场馆**: Mexico City Stadium · Mexico City
    - **贝叶斯数据更新时间**: 2026-06-17T16:27:36

    ## Key Takeaways / 关键判断与结论

    - 模型当前最倾向于“客队胜”,概率为 54.5%,领先第二选项 30.2 个百分点。
    - 综合置信度为低;模型分歧为 25.4%,分歧越低代表贝叶斯与蒙特卡洛结论越一致。
    - 当前没有可标准化的 Polymarket 胜平负对照,市场概率不进入模型,只作为外部参考。
    - 本次贝叶斯上下文来源为 audited-live,更新时间为 2026-06-17T16:27:36。
    - 本次预测已使用手动/外部阵容覆盖默认首发,贝叶斯与蒙特卡洛共享同一套首发名单。

    ## Synthesis / 综合概率

    - Uzbekistan 胜: 24.2%
    - 平局: 21.3%
    - Colombia 胜: 54.5%
    - 综合置信度: 低
    - 方法分歧: 25.4%

    ## Bayesian Analysis / 贝叶斯分析

    - 后验胜平负: Uzbekistan 17.1% / 平局 15.8% / Colombia 67.1%
    - Elo: 1465 vs 1693
    - lineup: Uzbekistan 4-2-3-1 lineup confirmed from manual; key starters: Akmal Mozgovoy, Azizjon Ganiev, Abbosbek Fayzullaev(幅度 6.5%)
    - lineup: Colombia 4-2-3-1 lineup confirmed from manual; key starters: James Rodriguez, Jaminton Campaz, Jefferson Lerma(幅度 6.5%)
    - simulation factors: Weather condition: drizzle(幅度 2.5%)

    ## Bayesian Evidence Audit / 贝叶斯证据审计

    - Elo available: 可用
    - Lineups trusted: 不可用
    - Injuries trusted: 不可用
    - Recent form trusted: 可用
    - Weather available: 可用
    - Pitch available: 可用
    - Referee available: 不可用
    - 入模[lineup]: 首发阵容已通过大名单匹配;官方/手动确认权重较高,专家预测首发仅低权重入模。;置信度 0.78
    - 入模[lineup]: 首发阵容已通过大名单匹配;官方/手动确认权重较高,专家预测首发仅低权重入模。;置信度 0.78
    - 入模[weather]: 小雨/毛毛雨只作为很弱的低比分信号,不再自动推断为沉重场地。;置信度 0.42
    - 原始伤停线索 3 条仅保存审计;未匹配或低可信内容不入模。

    ## Monte Carlo / 蒙特卡洛模拟

    - 模拟次数: 10000
    - 90分钟胜平负: Uzbekistan 31.4% / 平局 26.8% / Colombia 41.8%
    - 平均进球: 1.13 - 1.35
    - 90分钟结果: Uzbekistan 31.4% / 平局 26.8% / Colombia 41.8%

    ## Simulation Parameters / 模拟参数与外部因素

    - 随机种子: 1309429543
    - 模拟规则: 小组赛,90分钟允许平局
    - 天气: drizzle; 温度 16.6°C; 风速 5.9 km/h; 湿度 85%; 来源 open-meteo
    - 场地: 草皮 unknown,质量 正常
    - 旅行/休息: 主队休息 7 天,客队休息 7 天,主队旅程 0 km,客队旅程 0 km
    - 因素影响: 未启用明显天气/场地调制,按中性条件模拟。

    ## Injury Mapping / 伤停映射

    - 暂无可映射伤停,Monte Carlo 阵容保持默认。

    ## Lineups / 阵容来源与匹配状态

    - 主队 Uzbekistan: 4-2-3-1 / manual / confirmed / confidence 0.78
      - 首发: Abduvohid Nematov, Abdukodir Khusanov, Abdulla Abdullaev, Avazbek Ulmasaliev ., Bekhruz Karimov, Abbosbek Fayzullaev, Akmal Mozgovoy, Azizbek Amonov ., Azizjon Ganiev, Dostonbek Khamdamov, Eldor Shomurodov (Istanbul Basaksehir
    - 客队 Colombia: 4-2-3-1 / manual / confirmed / confidence 0.78
      - 首发: Alvaro Montero, Daniel Munoz, Davinson Sanchez, Devier Machado, Jhon Lucumi, James Rodriguez, Jaminton Campaz, Carlos Andres Gomez, Jefferson Lerma, Jhon Arias, Jhon Cordoba

    ## Diagnosis / 综合诊断

    - Monte Carlo is higher on home win by 14.3pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Monte Carlo is higher on draw by 11.0pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Bayesian is higher on away win by 25.3pp. Likely evidence-layer effect (3 evidence items) rather than player-chain simulation.

    ## Market Comparison / Polymarket 概率对照

    暂无 Polymarket 对照。

    ## Engine Raw Output / 引擎原始输出

    # Match Prediction Report
    ## World Cup 2026 Group Stage: Uzbekistan vs Colombia

    - **Venue**: neutral
    - **Referee**: TBD
    - **Confidence**: LOW
    - **Shared Baseline**: group / context quality 0.67

    ## Summary

    | Outcome | Bayesian | Monte Carlo | Averaged |
    |---------|----------|-------------|----------|
    | Uzbekistan Win | 17.1% | 31.4% | 24.2% |
    | Draw | 15.8% | 26.8% | 21.3% |
    | Colombia Win | 67.1% | 41.8% | 54.5% |

    ## Layer 1: Bayesian Analysis

    ### P0 (Elo Prior)
    - Uzbekistan Elo: 1465
    - Colombia Elo: 1693
    - P0: Uzbekistan 17.0% / Draw 16.0% / Colombia 66.9%

    ### Likelihood Updates
    - [home] Uzbekistan 4-2-3-1 lineup confirmed from manual; key starters: Akmal Mozgovoy, Azizjon Ganiev, Abbosbek Fayzullaev (±6%) — lineup
    - [away] Colombia 4-2-3-1 lineup confirmed from manual; key starters: James Rodriguez, Jaminton Campaz, Jefferson Lerma (±6%) — lineup
    - [draw] Weather condition: drizzle (±2%) — simulation factors

    ### P1 (Final Bayesian)
    - Uzbekistan: 17.1%  |  Draw: 15.8%  |  Colombia: 67.1%

    ## Layer 2: Monte Carlo (FM-Style)

    - Simulations: 10,000
    - Avg Goals: Uzbekistan 1.13 / Colombia 1.35 / Total 2.47
    - Avg Shots: Uzbekistan 16.7 / Colombia 18.6
    - Conversion: Uzbekistan 6.8% / Colombia 7.2%
    - Avg Cards: 3.7

    ### Top Scorelines
    - Uzbekistan 1-1 Colombia: 13.3%
    - Uzbekistan 0-1 Colombia: 11.5%
    - Uzbekistan 1-0 Colombia: 9.4%
    - Uzbekistan 1-2 Colombia: 8.8%
    - Uzbekistan 0-0 Colombia: 7.6%

    ## Layer 3: Synthesis

    **Confidence: LOW** (max divergence: 25.4%)
    - Method weights: Bayesian 50% / Monte Carlo 50%
    - Rationale: Methods diverge materially; averaged estimate is shown, but confidence is low and diagnostics should drive interpretation.

    ### Divergence Analysis
    - Monte Carlo is higher on home win by 14.3pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Monte Carlo is higher on draw by 11.0pp. Likely generative simulation effect from squad duels, tempo, or factors (0 factor effects).
    - Bayesian is higher on away win by 25.3pp. Likely evidence-layer effect (3 evidence items) rather than player-chain simulation.

    ### Consensus Estimate
    - Uzbekistan: 24.2%  |  Draw: 21.3%  |  Colombia: 54.5%


    ## Disclaimer / 免责声明

    本报告仅供数据分析和赛前讨论参考,不构成投注、交易或投资建议。请理性看待体育赛事结果,远离非法赌博。
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