SharpBetz

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
369-310-0
54.3%
ATS 261-227-0 53.5%
O/U 91-70-0 56.5%
ML 17-13-0 56.7%
Risked
$118,470
1077u
Net P&L
+$3,696
ROI
+3.1%

Pick History 679

Date Sport Matchup Type Pick Line Conf Units W/L P&L
‹ same game › ML UConn +110
58%
2u W +$220
‹ same game › ML Baylor -102
59%
1u L -$110
‹ same game › ML Illinois St +240
55%
5u L -$550
Apr 2 ncaab New Mexico @ Tulsa 74-69 TOTAL Over 161.5 (to 165.4)
59%
2u L -$220
Apr 2 ncaab Tulsa @ New Mexico 74-69 TOTAL Over 161.5 (to 165.4)
59%
2u L -$220
‹ same game › ML Tulsa +140
52%
1u W +$140
‹ same game › ML Minnesota +150
56%
3u L -$330
Apr 1 ncaab Oklahoma @ Colorado 90-86 ML Colorado +310
53%
4u L -$440
Mar 25 ncaab Nevada @ Auburn 69-75 TOTAL Over 154.5 (to 157.9)
58%
1u L -$110