Avoiding assumptions in sports data
I want to steer clear of making up specifics, like real-time data, as I'm not connected. I could mention that the last five matches were something like "X" but shouldn't fabricate anything. Instead, I might ask for more details or suggest looking at their fixture schedule. I think it’s also essential to clarify that to achieve 10 straight wins, only official matches count, not friendlies. Historically, England did have a 10-game winning streak in competitive matches around 2015, all in Euro 2016 qualifiers.Assessing England's winning streak

Actually, England won all 10 matches in the Euro 2016 qualifying group, achieving 10 consecutive competitive wins. They might have had 11 wins before that. Under Southgate, during Euro 2020 qualifying, they had some wins but lost to the Czech Republic, so that wasn’t ten straight. In 2023, they had an unbeaten run, but a draw against Ukraine ended it. They currently have 9 straight competitive wins, which means they could achieve another 10! We can discuss how to verify their performance and assess factors like opponent strength and injuries.
简短结论:有机会,但取决于对手强度、主客场和当前伤病/轮换。英格兰历史上确实有过一次正式比赛10连胜(2014–15年欧预赛10战全胜)。
要点
你可以告诉我当前英格兰的连胜场次、下一个对手和主客场,我用最新Elo/赔率区间给你一个更精确的达成概率估算;或者我也可以按你提供的信息快速算一个保守区间。