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Tampa Bay Rays @ Baltimore Orioles Prediction

MLB · May 26, 2026 · Lakeshore Edge calibrated model + Polymarket cross-check.

Pass
Tampa Bay Rays
-110 on FanDuel  ·  -112 on DraftKings  ·  -115 on BetMGM  ★ FD BETTER +1.12pp
Model 58%
Market 51%
Edge +6.0 pts

Model gives 58.3% but three sharp markets agree on a different read: PM (52%), Kalshi (52%), and Pinnacle (52%) cluster within 3pt of each other — a +6.6pt 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 Tampa Bay Rays starts at Elo, where a 107-point advantage maps to a 62% baseline win probability. Recent form across the last 10 games shifted that to 66% after blending the team's last-10 record into the rating. Home-field constant adjusted by +2400.0pp.

Tonight's probable starter for Tampa Bay Rays is Griffin Jax (ERA 3.54). They face Shane Baz on the other side (ERA 4.87). Net pitching matchup is favorable by 0.8pp before bullpen and weather adjustments. Weather: 74F, 3mph @ 180deg.

Multi-book consensus across FanDuel, DraftKings, BetMGM, and Pinnacle prices Tampa Bay Rays at 52.6% — broadly in line with FanDuel's read. Pinnacle (the sharp-book reference, ~2% vig) has Tampa Bay Rays at 52.1%. Polymarket's real-money pool reads 51.5%.

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
61.7%
+ Season record + form
66.2% +4.5pp
+ Factors (pitcher / injury / weather / trends)
65.4% -0.8pp
Calibration offset
61.7% -3.7pp
Platt rescale
58.6% -4.0pp
Final model probability
58.6%

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 52.4% Execution book (this is the price you'd take).
DraftKings 52.9% Cross-book check.
BetMGM 53.5% Cross-book check.
Pinnacle 52.1% Sharp-book reference (~2% vig).
Polymarket 51.5% Real-money prediction-market pool.
Kalshi 51.5% CFTC-regulated event market.
Lakeshore Edge model 58.3% Edge vs FanDuel: +6.0pt.

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
27
W - L
16 - 8
Win rate
67%
Avg CLV
+5.3pt
ROI
+21.4%

Frequently asked

What's the model's edge on Tampa Bay Rays @ Baltimore Orioles?

The Lakeshore Edge model rates Tampa Bay Rays at 58% to win or cover, versus FanDuel's implied 51% — a meaningful edge of +6.0pt. That gap is what the model flags as a potential bet; the model has averaged +4.2pt CLV across 145 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?

58% by the Lakeshore Edge model. Pinnacle, the industry's sharpest book at ~2% vig, has them at 52.1%; Polymarket's real-money traders price the same outcome at 51.5%. 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 51% on Tampa Bay Rays, but the model has it at 58% — a +6.0pt gap. Multi-book consensus across FanDuel, DraftKings, BetMGM, and Pinnacle agrees the line is stale by 0.2pp. 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 145 graded singles, beating the close on 88% of them.

How has the model done on Tampa Bay Rays picks recently?

Over the last 60 days the model has made 27 Tampa Bay Rays picks, going 16-8 (67% win rate) averaging +5.33pt CLV with 21.38% 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.