Football: Machine Learning Model - May 2022

Return of $1000 bankroll
Cumulative Return
1 Month (%) Season To Date (%)
Total 16.32 41.38
epl 4.78 3.2
bundesliga 21.1 37.6
seriea -1.37 7.87
ligue1 -3.13 -19.83
laliga -5.07 12.52
Risk Statistics
Annualised Return (%) Sharpe Volatility (%) Max Drawdown (%)
Total 124.82 0.68 60.73 -15.48
epl 8.26 0.1 33.11 -14.75
bundesliga 138.56 0.98 38.22 -10.04
seriea 19.82 0.21 38.3 -21.6
ligue1 -40.57 -0.44 44.77 -24.95
laliga 33.0 0.38 32.8 -9.83
Trade Statistics
Total Staked ($) Trade Count Median Stake ($) Median Odd Hit Rate (%)
Total 10601.0 1039.0 9.5 2.82 35.8
epl 2205.5 226.0 9.0 3.075 34.5
bundesliga 1859.0 181.0 9.5 2.85 39.2
seriea 2235.5 216.0 9.5 2.72 36.6
ligue1 1800.5 181.0 9.0 2.82 30.9
laliga 2500.5 235.0 9.5 2.78 37.4

The data presented herein represent past performance and are not indicative of future results. We strongly encourage all participants to gamble responsibly and consider personal financial circumstances, risk tolerance, and long-term investment goals. Sports betting entails substantial risk, including the risk that the entire amount invested may be lost.