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
428-388-0
52.5%
ATS 275-246-0 52.8%
O/U 116-88-0 56.9%
ML 37-54-0 40.7%
Risked
$143,880
1308u
Net P&L
-$520
ROI
-0.4%

Pick History 816

Date Sport Matchup Type Pick Line Conf Units W/L P&L
Feb 27 ncaab Quinnipiac @ Niagara 76-78 TOTAL Over 135.5 (to 138.1)
58%
1u W +$100
Feb 26 ncaab UC Irvine @ CSU Northridge 68-67 TOTAL Over 154.5 (to 158.2)
59%
2u L -$220