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系统局了?柔佛全场狂轰48脚12射正未破门,海港仅6脚射门(系统味拉满?柔佛48脚12射正仍零进球,海港全场仅6次射门)

添加时间:2026-01-16

Evaluating match performance

I want to explain how to evaluate a match by looking at various factors like the xG timeline, shot maps, goalkeeper saves, and touches in dangerous areas. There are some interesting examples to consider, like matches with over 40 shots and no goals. It might not be uncommon for teams to have high shots but still fail to score. I should also note alternative reasons for mismatches, like time-wasting or strong defensive plays, rather than suggesting it’s rigged.Explaining statistical variance in shots

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It’s important to highlight data illusions, like how blocked and off-target shots can inflate counts. I can offer a simple Poisson model, showing probabilities of scoring based on xG totals. For instance, if xG is below 2, it’s not surprising to see no goals. Also, if the user shares a link to stats, I can analyze further. I should also refrain from accusations and respond calmly to rhetorical questions. Let’s craft some points, including examples and insights on shot quality.

total

不一定是“系统局”。48脚听起来夸张,但关键看机会质量而不是次数。

margi

  • 看xG而非射门数:如果大多是外围或小角度,累计xG可能也就1.5–2.0;这时0进球概率并不低(xG=1.8时约e^-1.8≈16%)。
  • 12次射正≠高质量:很多射正是打中路或被干扰的搓射;看xGOT/扑救难度更准。门将状态爆棚也会放大这种现象。
  • 射门统计口径会“膨胀”:被封堵的也计作射门;连续二点、乱战补射容易把次数拉高,但威胁有限。
  • 比赛态势因素:对手低位+密集禁区、时间拖延、领先后收缩反击,都会造成“多打少进、对手少打有效”的观感。
  • 粗略概率感知:即便总xG≈3.0,0进球也有约5%的概率;小概率不等于异常。

建议核对这些再下结论:

很多射正是

  • 射门热区图/大机会数(“Big Chances”)
  • 总xG与xGOT、门将扑救+预期失球
  • 被封堵占比、禁区内射门占比、定位球质量

如果你有这场的统计链接或xG图,发来我可以帮你快速解读,判断是“运气/门将/射门质量/战术”哪个主因。

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