数据洞察
Dixon-Coles 双变量泊松 · 蒙特卡洛 10K 次模拟
🏆 夺冠概率榜Top 10
阿根廷26.1%
哥伦比亚11.7%
巴西11.4%
西班牙8.4%
厄瓜多尔6.1%
日本4.5%
摩洛哥3.9%
乌拉圭3.8%
英格兰3.2%
法国3.1%⚡ 黑马雷达市场低估 Top 5
模型概率 > Polymarket 市场价 → UNDER(被低估)
阿根廷+17.1%14W 3D 3L last 20. goal diff +1.6/g. avg opp Elo 1820. squad avg age 29.2, value €625M. top 3 carry 51% of value (key-player risk). model sees recent form the market isn't crediting.
哥伦比亚+10.1%8W 5D 7L last 20. goal diff +0.6/g. avg opp Elo 1939
厄瓜多尔+5.5%6W 13D 1L last 20. goal diff +0.5/g. avg opp Elo 1924
乌拉圭+2.8%5W 11D 4L last 20. goal diff +0.0/g. avg opp Elo 1853
巴拉圭+1.8%8W 6D 6L last 20. goal diff +0.0/g. avg opp Elo 1934
🚨 高估警报市场高估 Top 5
市场价 > 模型概率 → OVER(炒作过头)
法国-13.0%13W 3D 4L last 20. goal diff +1.1/g. avg opp Elo 1861. squad avg age 27.6, value €840M
西班牙-7.6%14W 6D 0L last 20. goal diff +1.7/g. avg opp Elo 1879. squad avg age 27.7, value €767M. top 3 carry 54% of value (key-player risk)
英格兰-7.9%15W 1D 4L last 20. goal diff +1.8/g. avg opp Elo 1709. squad avg age 27.2, value €1010M
葡萄牙-5.2%11W 7D 2L last 20. goal diff +1.3/g. avg opp Elo 1825. squad avg age 29.8, value €509M
德国-4.4%13W 3D 4L last 20. goal diff +1.4/g. avg opp Elo 1805. squad avg age 30.5, value €615M. top 3 carry 56% of value (key-player risk)