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. NBA, NHL, and NCAAB picks come from a machine learning model trained on historical game data; MLB and NFL picks come from a statistical model built on team statistics and situational factors. For a deeper look at how the models work, visit How It Works.
Net Units Over Time
NCAAB · All Time · Low (<60%)
Based on the 10 picks shown on this page, not the full 679-pick history under these filters.
Pick History 679
| Date | Sport | Matchup | Type | Pick | Line | Conf | Units | W/L | P&L |
|---|---|---|---|---|---|---|---|---|---|
| ‹ same game › | ML | Tulsa | +195 | | 4u | L | -$440 | ||
| ‹ same game › | ML | West Virginia | +142 | | 3u | W | +$426 | ||
| ‹ same game › | ML | UConn | +110 | | 2u | W | +$220 | ||
| ‹ same game › | ML | Baylor | -102 | | 1u | L | -$110 | ||
| ‹ same game › | ML | Illinois St | +240 | | 5u | L | -$550 | ||
| Apr 2 | ncaab | New Mexico @ Tulsa 74-69 | TOTAL | Over | 161.5 (to 165.4) | | 2u | L | -$220 |
| Apr 2 | ncaab | Tulsa @ New Mexico 74-69 | TOTAL | Over | 161.5 (to 165.4) | | 2u | L | -$220 |
| ‹ same game › | ML | Tulsa | +140 | | 1u | W | +$140 | ||
| ‹ same game › | ML | Minnesota | +150 | | 3u | L | -$330 | ||
| Apr 1 | ncaab | Oklahoma @ Colorado 90-86 | ML | Colorado | +310 | | 4u | L | -$440 |