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
3-3-0
50.0%
O/U 2-1-0 66.7%
ML 1-2-0 33.3%
Risked
$2,420
22u
Net P&L
+$226
ROI
+9.3%

Pick History 6

Date Sport Matchup Type Pick Line Conf Units W/L P&L
Apr 6 ncaab UConn @ Michigan 63-69 TOTAL Over 144.5 (to 163.6)
85%
5u L -$550
‹ same game › ML UConn +240
63%
1u L -$110
Apr 5 ncaab Tulsa @ Auburn 86-92 TOTAL Over 160.5 (to 167.5)
65%
4u W +$400
‹ same game › ML Tulsa +195
55%
4u L -$440
Apr 5 ncaab Oklahoma @ West Virginia 82-89 TOTAL Over 137.5 (to 151.2)
78%
5u W +$500
‹ same game › ML West Virginia +142
58%
3u W +$426