Verified 1,086 Predictions
Zaiov
Quant AI
Quant-driven picks across NBA, MLB & NCAAM.
83.1% backtest win rate on qualifying picks.
63.7%
All-time WR
Win Rate — percentage of all resolved picks that were correct.66.7%
QS WR
Quant Select Win Rate — win rate on picks that passed all Phase F gates (model prob, edge, market prob, score ≥65).+37.3%
QS ROI
Quant Select ROI — return on investment for QS picks, assuming flat $1 stake per pick on Kalshi.2L
Streak
Current consecutive win (W) or loss (L) streak across all picks.Total PicksTotal number of predictions made and tracked across all sports.
0
Win RateWR — percentage of all resolved picks that were correct wins.
0.0%
QS Win RateQuant Select Win Rate — win rate on picks that passed all Phase F gates: model prob, edge size, market prob, and quant score ≥65.
0.0%
6 qualified picks
QS ROIQuant Select ROI — return on investment for QS-tier picks only, assuming a flat $1 stake per pick on Kalshi. Positive = profitable.
+0.0%
StreakCurrent consecutive win (W) or loss (L) streak across all picks.
0L
Today's Picks
1 QUANT SELECT · 24 VALUE PICK
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Michigan Wolverines
Michigan Wolverines vs UConn Huskies
QSQuant Select — passed all Phase F gates: model prob ≥60%, |edge| ≤5%, market prob ≥55%, quant score ≥65. Highest-confidence tier.
Model
Model probability — our XGBoost + LightGBM ensemble prediction, isotonic-calibrated.78.2%
Market
Market probability — Kalshi orderbook implied probability (mid-price).76.3%
Edge
Edge = Model prob − Market prob. Positive means the model thinks this side is underpriced on Kalshi.+1.9%
9:00 PM ETQS 27Quant Score (0–100): convergence pts + confidence pts + market agreement pts. ≥65 required for Quant Select.DraftKings +3.6%
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New York
Atlanta vs New York
VPValue Pick — model shows positive edge but below full Quant Select threshold. Use with more caution.
Model
Model probability — our XGBoost + LightGBM ensemble prediction, isotonic-calibrated.49.0%
Market
Market probability — Kalshi orderbook implied probability (mid-price).47.5%
Edge
Edge = Model prob − Market prob. Positive means the model thinks this side is underpriced on Kalshi.+3.5%
10:00 PM ETQS 8Quant Score (0–100): convergence pts + confidence pts + market agreement pts. ≥65 required for Quant Select.BetMGM +6.5%
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Detroit
Orlando vs Detroit
VPValue Pick — model shows positive edge but below full Quant Select threshold. Use with more caution.
Model
Model probability — our XGBoost + LightGBM ensemble prediction, isotonic-calibrated.27.0%
Market
Market probability — Kalshi orderbook implied probability (mid-price).60.5%
Edge
Edge = Model prob − Market prob. Positive means the model thinks this side is underpriced on Kalshi.+12.5%
10:00 PM ETQS 46Quant Score (0–100): convergence pts + confidence pts + market agreement pts. ≥65 required for Quant Select.DraftKings +16.5%
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San Antonio
San Antonio vs Philadelphia
VPValue Pick — model shows positive edge but below full Quant Select threshold. Use with more caution.
Model
Model probability — our XGBoost + LightGBM ensemble prediction, isotonic-calibrated.71.6%
Market
Market probability — Kalshi orderbook implied probability (mid-price).77.5%
Edge
Edge = Model prob − Market prob. Positive means the model thinks this side is underpriced on Kalshi.-5.9%
11:00 PM ETQS 42Quant Score (0–100): convergence pts + confidence pts + market agreement pts. ≥65 required for Quant Select.Kalshi -5.9%
Win Rate Trend — Last 60 Days
Performance by Sport
Full breakdown →| Sport | Picks | W | L | WR | ROI | QS Picks | QS WR |
|---|---|---|---|---|---|---|---|
| 🏀 NBA | 242 | 174 | 68 | 71.9% | -0.8% | 0 | — |
| ⚾ MLB | 162 | 93 | 69 | 57.4% | +7.5% | 0 | — |
| 🏈 NCAAM | 430 | 270 | 160 | 62.8% | -4.6% | 6 | 66.7% |
| 🏀 NCAAWB | 183 | 119 | 64 | 65.0% | -2.4% | 0 | — |
| 🏒 NHL | 69 | 36 | 33 | 52.2% | -7.8% | 0 | — |