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San Diego Padres @ Philadelphia Phillies Prediction

MLB · June 02, 2026 · Lakeshore Edge calibrated model + Polymarket cross-check.

Pass
San Diego Padres
+128 on FanDuel  ·  +128 on DraftKings  ·  +125 on BetMGM  ★ FD BETTER +0.58pp
Model 51%
Market 44%
Edge +7.0 pts

Model gives 50.9% but three sharp markets agree on a different read: PM (42%), Kalshi (42%), and Pinnacle (43%) cluster within 3pt of each other — a +8.6pt gap from sharp consensus. Demoted from BET. Either you've found a soft line or the model is wrong here.

Why the model leans this way

The model's base read on San Diego Padres starts at Elo, where a 13-point advantage (HCA of +24 Elo points to the home team) maps to a 52% baseline win probability. Recent form across the last 10 games shifted that to 54% after blending the team's last-10 record into the rating.

Tonight's probable starter for San Diego Padres is Randy Vasquez (ERA 3.28). They face Aaron Nola on the other side (ERA 5.72). Net pitching matchup is favorable by 1.5pp before bullpen and weather adjustments. Weather: 76F, 6 mph from NNW. Line-movement signal: line drift -4.6%.

Multi-book consensus across FanDuel, DraftKings, BetMGM, and Pinnacle prices San Diego Padres at 43.7% — broadly in line with FanDuel's read. Pinnacle (the sharp-book reference, ~2% vig) has San Diego Padres at 43.1%. Polymarket's real-money pool reads 41.5%.

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
51.9%
+ Season record + form
54.4% +2.5pp
+ Factors (pitcher / bullpen / weather / park)
53.8% -0.6pp
Calibration offset
53.0% -0.8pp
Platt rescale
50.2% -2.8pp
Injury report (drag - opponent's drag)
46.1% -4.1pp
Line-movement nudge
44.8% -1.3pp
Moneyline normalization (both sides to 100%)
50.9% +6.1pp

What other markets think

Implied probability of San Diego Padres across the books and prediction markets we track, alongside the Lakeshore Edge model's own number.

SourceImplied %Note
FanDuel 43.9% Execution book (this is the price you'd take).
DraftKings 43.9% Cross-book check.
BetMGM 44.4% Cross-book check.
Pinnacle 43.1% Sharp-book reference (~2% vig).
Polymarket 41.5% Real-money prediction-market pool.
Kalshi 41.5% CFTC-regulated event market.
Lakeshore Edge model 50.9% Edge vs FanDuel: +7.0pt.

Model performance on San Diego Padres 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
6 - 9
Win rate
40%
Avg CLV
+6.6pt
ROI
-36.0%

Frequently asked

What's the model's edge on San Diego Padres @ Philadelphia Phillies?

The Lakeshore Edge model rates San Diego Padres at 51% to win or cover, versus FanDuel's implied 44% — a meaningful edge of +7.0pt. That gap is what the model flags as a potential bet. The model has averaged +4.2pt CLV across 296 graded singles, meaning prices it picks tend to drift in the bettor's favor before close.

How likely is San Diego Padres to win according to the model?

51% by the Lakeshore Edge model. Pinnacle, the industry's sharpest book at ~2% vig, has them at 43.1%; Polymarket's real-money traders price the same outcome at 41.5%. The model blends Elo, recent form, sport-specific factors (pitching, injuries, weather), and live line movement to land on that number.

Why does the model disagree with the sportsbook?

FanDuel's price implies 44% on San Diego Padres, but the model has it at 51% — a +7.0pt gap. The model's reasoning is fully visible in the waterfall above; each adjustment stage is logged so the call can be audited after the game.

What's closing-line value (CLV) and why does it matter?

Closing-line value is how much your entry price beats the market's closing price on the same bet. If you pick a side at FanDuel -130 and the line closes at -150, the line moved 4pp toward your side after you locked in — that's positive CLV. CLV is the leading indicator of long-run profit because it's the metric that survives variance: a sustained positive CLV means you're consistently getting a better price than the consensus market settles on. Lakeshore Edge averages +4.2pt CLV on 296 graded singles, beating the close on 90% of them.

How has the model done on San Diego Padres picks recently?

Over the last 60 days the model has made 16 San Diego Padres picks, going 6-9 (40% win rate) averaging +6.64pt CLV with -36.03% ROI. Recent-team performance is a small slice; treat it as context for tonight's call rather than a guarantee.

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.