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
430-388-0
52.6%
ATS 275-246-0 52.8%
O/U 118-88-0 57.3%
ML 37-54-0 40.7%
Risked
$144,100
1310u
Net P&L
-$320
ROI
-0.2%

Pick History 818

Date Sport Matchup Type Pick Line Conf Units W/L P&L
Mar 4 ncaab Stanford @ Notre Dame 86-78 TOTAL Over 145.5 (to 149.5)
59%
2u W +$200
Mar 4 ncaab Kansas City @ Oral Roberts 62-84 TOTAL Under 147.5 (to 143.6)
59%
2u W +$200