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
155-108-0
58.9%
ATS 155-108-0 58.9%
Risked
$88,880
808u
Net P&L
+$10,030
ROI
+11.3%

Pick History 263

Date Sport Matchup Type Pick Line Conf Units W/L P&L
Feb 15 ncaab Illinois St @ UIC 56-83 SPREAD UIC +1.5
55%
1u W +$100
Feb 15 ncaab Bradley @ S Illinois 70-60 SPREAD Bradley +2.5
55%
1u W +$100
Feb 15 ncaab South Florida @ FAU 83-81 SPREAD FAU +4.5
55%
1u W +$100
Feb 15 ncaab Manhattan @ Canisius 69-65 SPREAD Canisius +1.5
55%
1u L -$110
Feb 15 ncaab Youngstown St @ Detroit Mercy 70-76 SPREAD Detroit Mercy +2.5
55%
1u W +$100
Feb 14 ncaab Gonzaga @ Santa Clara 94-86 SPREAD Santa Clara +3.5
55%
1u L -$110