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
544-566-0
49.0%
ATS 48-49-0 49.5%
O/U 453-449-0 50.2%
ML 43-68-0 38.7%
Risked
$446,820
4062u
Net P&L
-$29,500
ROI
-6.6%

Pick History 1110

Date Sport Matchup Type Pick Line Conf Units W/L P&L
Feb 28 ncaab Saint Francis @ C Connecticut 64-69 TOTAL Under 152.5 (to 147)
62%
3u W +$300
Feb 28 ncaab Fordham @ VCU 63-82 TOTAL Over 144.5 (to 152.8)
72%
5u W +$500
Feb 28 ncaab Loyola MD @ Holy Cross 76-62 TOTAL Under 151.5 (to 143.9)
66%
4u W +$400
Feb 28 ncaab Florida St @ Georgia Tech 80-71 TOTAL Under 160.5 (to 154.6)
61%
2u W +$200
Feb 28 ncaab Boston U @ American 68-65 TOTAL Over 141.5 (to 150.5)
69%
5u L -$550
Feb 28 ncaab Iowa @ Penn State 69-71 TOTAL Over 145.5 (to 153.4)
67%
4u L -$440