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Detroit Tigers @ Tampa Bay Rays Prediction

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

Pass
Tampa Bay Rays
-143 on FanDuel  ·  -149 on DraftKings  ·  -149 on BetMGM  ★ FD BETTER +1.06pp
Model 66%
Market 59%
Edge +7.2 pts

Model gives 66.0% but three sharp markets agree on a different read: PM (56%), Kalshi (57%), and Pinnacle (58%) cluster within 3pt of each other — a +8.7pt 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 Tampa Bay Rays starts at Elo, where a 91-point advantage (HCA of +24 Elo points to the home team) maps to a 69% baseline win probability. Recent form across the last 10 games shifted that to 71% after blending the team's last-10 record into the rating.

Tonight's probable starter for Tampa Bay Rays is Steven Matz (ERA 4.67). They face Jack Flaherty on the other side (ERA 5.81). Net pitching matchup is favorable by 0.7pp before bullpen and weather adjustments. Weather: DOME (neutral).

Multi-book consensus across FanDuel, DraftKings, BetMGM, and Pinnacle prices Tampa Bay Rays at 59.0% — broadly in line with FanDuel's read. Pinnacle (the sharp-book reference, ~2% vig) has Tampa Bay Rays at 58.1%. Polymarket's real-money pool reads 56.5%.

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
69.0%
+ Season record + form
71.5% +2.5pp
+ Factors (pitcher / bullpen / weather / park)
70.7% -0.8pp
Calibration offset
66.7% -4.0pp
Platt rescale
59.4% -7.3pp
Injury report (drag - opponent's drag)
58.3% -1.1pp
Moneyline normalization (both sides to 100%)
66.0% +7.7pp

What other markets think

Implied probability of Tampa Bay Rays across the books and prediction markets we track, alongside the Lakeshore Edge model's own number.

SourceImplied %Note
FanDuel 58.8% Execution book (this is the price you'd take).
DraftKings 59.9% Cross-book check.
BetMGM 59.9% Cross-book check.
Pinnacle 58.1% Sharp-book reference (~2% vig).
Polymarket 56.5% Real-money prediction-market pool.
Kalshi 57.5% CFTC-regulated event market.
Lakeshore Edge model 66.0% Edge vs FanDuel: +7.2pt.

Model performance on Tampa Bay Rays picks (60d)

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

Picks
37
W - L
18 - 16
Win rate
53%
Avg CLV
+4.4pt
ROI
+5.7%

Frequently asked

What's the model's edge on Detroit Tigers @ Tampa Bay Rays?

The Lakeshore Edge model rates Tampa Bay Rays at 66% to win or cover, versus FanDuel's implied 59% — a meaningful edge of +7.2pt. 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 Tampa Bay Rays to win according to the model?

66% by the Lakeshore Edge model. Pinnacle, the industry's sharpest book at ~2% vig, has them at 58.1%; Polymarket's real-money traders price the same outcome at 56.5%. 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 59% on Tampa Bay Rays, but the model has it at 66% — a +7.2pt gap. Multi-book consensus across FanDuel, DraftKings, BetMGM, and Pinnacle agrees the line is stale by 0.1pp. 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 Tampa Bay Rays picks recently?

Over the last 60 days the model has made 37 Tampa Bay Rays picks, going 18-16 (53% win rate) averaging +4.4pt CLV with 5.66% 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.