Sportsbooks publish a market price. We model each game from the underlying
data and publish our own estimate of fair
value. The difference is
where value begins.
Every probability, fair price and published position is recorded so our
model can be evaluated against the market over time. Results are
historical and do not predict future outcomes.
MLB Models
Since June 4, 2026
+6.36 %
ROI (return on investment) on 418 bets
204-207Record
49.6 %Win rate
46.3 %Expected by market
+3.3 ptsRealized edge
+22.41 uCumulative
-12.64 uWorst drawdown
31/48Positive days
418Bets
Cumulative return
48 days of betting. The cumulative total ends at +22.41 u, after a maximum drawdown of 12.64 u from a peak. The curve never went back below zero.
The curve climbs sharply at first, then pulls back and settles. That is
the normal behavior of a growing sample: the first few weeks always
overstate things, in either direction. The only number that matters is
the full cumulative total, never an intermediate peak.
By market
Market
Bets
Record
Units
Return
Moneyline
303
145-156
+12.52 u
+5.17 %
Totals
115
59-51
+9.89 u
+9.00 %
By month
Month
Bets
Record
Units
Return
June
79
39-37
+2.38 u
+3.80 %
July
246
120-124
+14.06 u
+6.58 %
August
93
45-46
+5.97 u
+7.89 %
Since April 14, 2026
+6.73 %
ROI (return on investment) on 270 Search-tagged moneyline bets
136-133-1Record
50.6 %Win rate
51.7 %Expected by market
-1.1 ptsRealized edge
+14.07 uCumulative
-14.99 uWorst drawdown
41/74Positive days
270Bets
Cumulative return
74 days of Search-tagged moneyline bets, in units of $200. The curve peaked near 18.17 u on July 31, after an earlier drawdown of about 15 u from a smaller May peak, ending at +14.07 u by August 8.
This is a different model from MLB Projections above: bets flagged by a
contextual search process rather than the quantitative fair-price model,
moneyline only. Real stakes vary bet to bet here; results are normalized
to units of $200 for direct comparison with the numbers above.
Who builds it
A
Alex
Sharp bettor · Modeling & data
Experienced data analyst with a strong background in statistical
analysis and predictive modeling. He applies a data driven approach to
sports betting, building models designed to identify inefficiencies and
value in the market.
T
TheMofoRock
Sharp bettor · Markets & +EV
Sports bettor with over eight years of experience, specializing in +EV
betting, arbitrage, and market analysis. His focus is on understanding
how betting markets move and identifying opportunities where the odds
may be mispriced.
Limited beta access
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