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San Francisco Giants @ San Diego Padres Recap

MLB · July 31, 2026 · Pre-game prediction preserved, outcome auto-graded against ESPN.

LOSS

This one missed — San Francisco Giants LOSS.

Pre-game, the Lakeshore Edge model picked San Francisco Giants at 37% against FanDuel's implied 38% — an edge of +4.8pt. The full reasoning is preserved below for audit.

Closing-line value vs Pinnacle: -0.4pp  ·  closed at 2.33 (42.9%)

Small Play Dog play
San Francisco Giants
+165 on FanDuel
Model 37%
Market 38%
Edge +4.8 pts

Solid 4.8% edge at FanDuel (2.65).

How the model got here

Each row is a stage in the probability calculation. The bar is the probability at that stage; the delta on the right is the shift from the previous stage.

Elo baseline
42.4%
Calibration offset
45.0% +2.6pp
Platt rescale
36.6% -8.4pp
Injury report (drag - opponent's drag)
34.9% -1.7pp
Moneyline normalization (both sides to 100%)
37.3% +2.4pp

Model performance on San Francisco Giants picks (60d)

How this side has graded in the journal over the last 60 days. Small slice — context, not a guarantee.

Picks
16
W - L
8 - 8
Win rate
50%
Avg CLV
+4.5pt
ROI
+0.3%

Sports betting involves risk. Past model performance is no guarantee of future results. If gambling is a problem for you, call 1-800-GAMBLER (US) or visit ncpgambling.org for help.