Live · updated hourly
Every pick, public
Every AI pick SlateSense has ever generated is tracked in our database. We don't curate, hide losses, or move the goalposts — this is the full record.
Tracking since April 17, 2026
Total settled picks
698
369-325-4
Win rate
53.2%
vs 52.4% breakeven at −110
ROI
+10.3%
1u flat-stakes at best line
By sport
| Sport | Record | Win % | ROI |
|---|---|---|---|
| MLB | 270-253-4 | 51.6% | +9.4% |
| NBA | 57-39 | 59.4% | -1.1% |
| NHL | 42-33 | 56.0% | +31.1% |
By confidence tier
Each pick gets a confidence rating from the model. Stronger picks should hit at higher rates.
| Tier | Picks | Win % | ROI |
|---|---|---|---|
| Strong | 423 | 54.5% | +10.6% |
| Moderate | 169 | 47.3% | +4.8% |
| Lean | 102 | 55.4% | +15.1% |
| Slight | 4 | 100.0% | +93.7% |
Recent picks
Last 15 settled picks. Win or loss, every one shows up here.
L
→New York Knicks Spread (-2)-104
San Antonio Spurs @ New York Knicks · Jun 10
L
→New York Knicks Spread (-2)-105
San Antonio Spurs @ New York Knicks · Jun 8
L
→Carolina Hurricanes Spread (-1.5)+164
Vegas Golden Knights @ Carolina Hurricanes · Jun 4
W
→New York Knicks Moneyline+145
New York Knicks @ San Antonio Spurs · Jun 3
L
→Carolina Hurricanes Spread (-1.5)+174
Vegas Golden Knights @ Carolina Hurricanes · Jun 2
W
→San Antonio Spurs Moneyline+140
San Antonio Spurs @ Oklahoma City Thunder · May 30
W
→Carolina Hurricanes Spread (-1.5)+115
Montréal Canadiens @ Carolina Hurricanes · May 29
L
→Oklahoma City Thunder Moneyline+141
Oklahoma City Thunder @ San Antonio Spurs · May 28
W
→San Antonio Spurs Moneyline-155
Oklahoma City Thunder @ San Antonio Spurs · May 28
W
→Atlanta Braves Spread (-1.5)+128
Atlanta Braves @ Boston Red Sox · May 28
L
→Minnesota Twins Spread (-1)+168
Minnesota Twins @ Chicago White Sox · May 28
L
→Over 9+100
Los Angeles Angels @ Detroit Tigers · May 28
W
→Los Angeles Dodgers Spread (-1.5)-176
Colorado Rockies @ Los Angeles Dodgers · May 27
L
→Over 7.5-102
Houston Astros @ Texas Rangers · May 27
L
→Texas Rangers Spread (-1.5)+132
Houston Astros @ Texas Rangers · May 27
How this works
- • Every pick the model generates is written to our database at pick time, with the odds we recommended and our confidence rating.
- • Picks are graded automatically by the same cron job that pulls final scores from the major sports APIs. We don't manually mark losses as pushes.
- • ROI is calculated against the best available line at pick time, betting 1 unit per pick flat-stakes. This is real- world P&L, not a back-test.
- • The full per-factor and calibration breakdown is on /stats if you want to dig deeper.
See tonight's picks
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