Considering match responses
I'm trying to analyze whether the 2015 group had draws and if the 2023 group had three draws. They played to draws against DR Congo and Tanzania, with some notable results in AFCON 2023. I'll list quick takeaways about their tactical profile, emphasizing strong defense and difficulties in offense.
We could also touch on betting caution regarding draw markets. If they want a visualization, we could suggest scripting a chart, but I'll note the data limitations. A brief response in Chinese would include acknowledging the "draw master" title and estimating draw probabilities.Calculating draw probabilities
I’m computing the probability of draws at p=0.35. With k=9, I calculate the probabilities step by step, eventually finding around 0.2%. It seems good to mention that the typical AFCON draw rate is about 30%. We could discuss possible causes like team play style, opponent strength, or red cards that influence draws.
Next, I can suggest pulling a match-by-match list for visualization or computing updated odds. I want to keep any gambling suggestions lighthearted and provide a cheeky line. Remember, I should also highlight the difference between fluke and structural outcomes without relying too heavily on jargon.
确实名副其实的“平局大师”。
稀有度有多高？如果把一场比赛的平局率粗略按30%–35%算，11场里出现9次或以上平局的概率大约只有：
- p=0.30 → ≈0.058%
- p=0.35 → ≈0.20% 换句话说，纯靠随机波动也很罕见。
可能成因：小组赛保守取分、对手强弱接近、进攻转化率偏低但防守韧性强、领先后回收与追平后“止血”的策略选择等，都会把分布往平局拉。
实战含义：看盘面更倾向于“平/小球”思路，但样本只有11场，留点余量；若近期人员/教练/风格有变化，历史分布可能很快漂移。
要不要我把赞比亚近几届非洲杯的具体对手、比分和时间线列出来，顺便做下进失球分钟段与红黄牌对平局的影响？
