Prediction Results & Track Record
Every pick we publish is recorded here, win or loss, with no hidden removals or selective reporting. Full transparency is essential in sports predictions because anyone can claim a winning record without proof. This page is that proof. Use the filters below to break down performance by sport, pick type, confidence tier, or date range. Our picks are generated by a machine learning model trained on historical game data, team statistics, and situational factors. For a deeper look at how the model works, visit How It Works.
Record
378-374-0
50.3%
ATS 2-0-0 100.0%
O/U 356-352-0 50.3%
ML 20-22-0 47.6%
Risked
$326,480
2968u
Net P&L
-$16,477
ROI
-5.0%
Pick History 752
| Date | Sport | Matchup | Type | Pick | Line | Conf | Units | W/L | P&L |
|---|---|---|---|---|---|---|---|---|---|
| ‹ same game › | ML | Arizona | +102 | | 1u | L | -$110 | ||
| Apr 4 | ncaab | West Virginia @ Creighton 87-70 | TOTAL | Over | 134.5 (to 143.6) | | 5u | W | +$500 |
| Apr 4 | ncaab | Oklahoma @ Baylor 82-69 | TOTAL | Over | 158.5 (to 164.5) | | 3u | L | -$330 |
| Apr 2 | ncaab | Rutgers @ Creighton 69-82 | TOTAL | Under | 151.5 (to 146.5) | | 2u | W | +$200 |
| Apr 2 | ncaab | Illinois St @ Auburn 66-88 | TOTAL | Over | 149.5 (to 157.1) | | 3u | W | +$300 |
| Apr 2 | ncaab | Stanford @ West Virginia 77-82 | TOTAL | Over | 136.5 (to 144.4) | | 5u | W | +$500 |
| ‹ same game › | ML | West Virginia | +102 | | 1u | W | +$102 | ||
| ‹ same game › | ML | Tulsa | +154 | | 3u | L | -$330 | ||
| Apr 1 | ncaab | Baylor @ Minnesota 67-48 | TOTAL | Over | 148.5 (to 151.8) | | 3u | L | -$330 |
| ‹ same game › | ML | UConn | -130 | | 3u | W | +$231 | ||
| Mar 27 | ncaab | Alabama @ Michigan 77-90 | TOTAL | Over | 172.5 (to 177.8) | | 3u | L | -$330 |
| Mar 26 | ncaab | Arkansas @ Arizona 88-109 | TOTAL | Over | 165.5 (to 175.3) | | 5u | W | +$500 |
| ‹ same game › | ML | Nebraska | -130 | | 1u | L | -$110 | ||
| Mar 25 | ncaab | Illinois St @ Dayton 61-55 | TOTAL | Over | 139.5 (to 148.7) | | 5u | L | -$550 |