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
994-1018-4
49.4%
ATS 346-349-0 49.8%
O/U 537-521-4 50.8%
ML 111-148-0 42.9%
Risked
$729,960
6636u
Net P&L
-$27,717
ROI
-3.8%

Pick History 2016

Date Sport Matchup Type Pick Line Conf Units W/L P&L
Mar 4 ncaab Purdue @ Northwestern 70-66 TOTAL Over 147.5 (to 155.2)
71%
5u L -$550
Mar 4 ncaab Rice @ North Texas 58-62 TOTAL Over 139.5 (to 144.2)
64%
3u L -$330
Mar 4 ncaab Miami @ SMU 77-69 TOTAL Over 160.5 (to 167.7)
65%
4u L -$440
Mar 4 ncaab Texas @ Arkansas 85-105 TOTAL Over 165.5 (to 173.3)
63%
3u W +$300
Mar 4 ncaab Saint Joseph's @ Davidson 70-67 TOTAL Over 138.5 (to 145.3)
65%
4u L -$440
Mar 4 ncaab UAB @ Charlotte 80-74 TOTAL Over 144.5 (to 151.8)
66%
4u W +$400
Mar 4 ncaab Duquesne @ Rhode Island 52-64 TOTAL Over 143.5 (to 150.3)
65%
4u L -$440