公开检验

20 Jun 2026

下方每个概率都在开赛前发布并锁定。本页面将每个概率与实际结果进行对比评分。

已评分 4/4 场
0
精准命中
高置信度,结果正确
3
判断有力
对实际结果赋予了最高概率
0
符合预期
结果在预测范围之内
1
意外
模型未能预见到这一点

当日均值: Within expectations

  • 已评分锁定于 10 Jun
    21
    • Germany · 实际63.6%
    • 平局23.1%
    • Ivory Coast13.3%
    结论
    Strong read

    Germany 2–1 Ivory Coast was the outcome the model rated most likely (63.6% before kickoff). The match scores a Brier of 0.203, better than the 0.667 no-skill mark.

    胜过市场对结果赋予了更高的概率

    Match ratings

    Player scores from official highlights analysis. Observational, not a model input.

    Germany
    9Deniz UndavSTCame off the bench to score two decisive goals, including the equalizer and winner, completely turning the match around for Germany.
    7Kai HavertzSTDespite two disallowed goals, he was a constant threat in the German attack, demonstrating good movement and finishing instincts.
    7Florian WirtzAMA creative force for Germany, he used his technical ability, dribbling, and vision to unlock the opposition defense.
    Ivory Coast
    7Yahia FofanaGKMade crucial saves and commanded his box well, despite a foul call and ultimately conceding two goals.
    6Odilon KossounouCBWas involved in a crucial defensive moment where a foul on him led to a German goal being disallowed.
  • 已评分锁定于 10 Jun
    00
    • Curaçao2.9%
    • 平局 · 实际15.0%
    • Ecuador82.1%
    结论
    Surprise result

    Curaçao 0–0 Ecuador was an outcome the model rated at 15.0% (15.0% before kickoff). The match scores a Brier of 1.397, worse than the 0.667 no-skill mark.

    胜过市场对结果赋予了更高的概率

    Read: what the model missed →

    Match ratings

    Player scores from official highlights analysis. Observational, not a model input.

    Curaçao
    Ecuador
    8Hernán GalíndezGKMade a crucial, athletic save from a powerful shot, denying a clear goal-scoring opportunity and keeping his team level.
  • 已评分锁定于 10 Jun
    51
    • Netherlands · 实际61.2%
    • 平局22.8%
    • Sweden16.1%
    结论
    Strong read

    Netherlands 5–1 Sweden was the outcome the model rated most likely (61.2% before kickoff). The match scores a Brier of 0.229, better than the 0.667 no-skill mark.

    胜过市场对结果赋予了更高的概率

    Match ratings

    Player scores from official highlights analysis. Observational, not a model input.

    Netherlands
    9BrobbeySTScored two crucial early goals, demonstrating excellent predatory instincts and clinical finishing.
    9VerbruggenGKMade multiple crucial saves throughout the match, preventing Sweden from scoring more and maintaining the Netherlands' lead.
    9GakpoLW/STScored two clinical goals, significantly contributing to the Netherlands' dominant scoreline.
    Sweden
    7ElangaLW/STScored Sweden's only goal with a composed finish and showed good individual dribbling ability.
    6AyariAMTested the goalkeeper with a strong shot, demonstrating attacking intent from midfield.
    5IsakSTDespite multiple attempts and good movement, he was repeatedly denied by the goalkeeper and failed to convert his chances.
  • 已评分锁定于 10 Jun
    40
    • Japan · 实际56.3%
    • 平局27.7%
    • Tunisia16.1%
    结论
    Strong read

    Japan 4–0 Tunisia was the outcome the model rated most likely (56.3% before kickoff). The match scores a Brier of 0.294, better than the 0.667 no-skill mark.

    市场对结果赋予了更高的概率

    Match ratings

    Player scores from official highlights analysis. Observational, not a model input.

    Japan
    8Daichi KamadaAMScored the crucial opening goal with excellent positioning and a clinical finish.
    8Ritsu DoanRWScored a fantastic second goal with a powerful and accurate shot from outside the box.
    8Junya ItoRWScored the third goal with a composed finish after a well-timed run onto a through ball.
    Tunisia
    8Mouez DahmenGKMade multiple outstanding and crucial saves, including a goal-line stop, preventing an even larger defeat for Tunisia.

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Model report card — 20 Jun 2026 · onthepitch