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. NBA, NHL, and NCAAB picks come from a machine learning model trained on historical game data; MLB and NFL picks come from a statistical model built on team statistics and situational factors. For a deeper look at how the models work, visit How It Works.

Record
307-340-3
47.4%
ATS 42-32-3 56.8%
O/U 131-151-0 46.5%
ML 134-157-0 46.0%
Risked
$310,640
2824u
Net P&L
-$25,306
ROI
-8.1%

Pick History 650

Date Sport Matchup Type Pick Line Conf Units W/L P&L
Mar 4 ncaab Baylor @ Houston 64-77 TOTAL Over 141.5 (to 159.4)
85%
5u L -$550
Mar 4 ncaab Villanova @ DePaul 76-57 TOTAL Over 135.5 (to 147.6)
75%
5u L -$550
Mar 4 nba Hornets @ Celtics 118-89 TOTAL Over 214.5 (to 230)
82%
5u L -$550
Mar 4 nba Thunder @ Knicks 103-100 TOTAL Over 221.5 (to 235.3)
77%
5u L -$550
Mar 4 ncaab Youngstown St @ Robert Morris 53-68 TOTAL Over 142.5 (to 155)
76%
5u L -$550