Week 14 Trading Results
Our ML models traded 11 positions across 5 sports this week, with a 81.8% win rate and -$0.91 net P&L.
Every trade is executed on Polymarket and verified on PolygonScan.
Performance by Sport
| Sport | Trades | Record | Win Rate | c/Trade | P&L |
|---|---|---|---|---|---|
| TENNIS | 6 | 6W-0L | 100.0% | 35.0c | +$21.96 |
| LOL | 2 | 2W-0L | 100.0% | 33.5c | +$0.67 |
| NHL | 2 | 1W-1L | 50.0% | -8.5c | -$0.54 |
| NCAAWB | 1 | 0W-1L | 0.0% | -56.0c | -$23.00 |
Notable Wins
- flyers (NHL): Bought at 62c, fair value 73c, edge +11c
- kt Challengers (LOL): Bought at 65c, fair value 81c, edge +16c
- Elina Avanesyan (TENNIS): Bought at 65c, fair value 0c, edge +0c
How It Works
Our models are trained on 60,000+ historical games and predict fair win probability from game state alone — score, time, period, Elo ratings. When our fair probability exceeds the market ask by 8c+, we buy and hold to settlement.