Tampa Bay Rays @ Baltimore Orioles Prediction
MLB · May 27, 2026 · Lakeshore Edge calibrated model + Polymarket cross-check.
Model gives 56.6% but PM (50%), Kalshi (52%), and FanDuel (51%) all cluster within 3pt of each other — a +5.6pt gap from real-money consensus. Demoted from BET. Either you've found a soft line or the model is wrong here. (Pinnacle data pending on this game — will firm up the call when it lands.)
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.
Weather: 76F, 5mph @ 239deg. Line-movement signal: line drift -8.8%.
Across FanDuel, DraftKings, BetMGM, and Pinnacle, consensus prices Tampa Bay Rays at 52.1% — about 1.61pp higher than FanDuel's implied 50%. The FanDuel line is stale in the bettor's favor. Polymarket's real-money pool reads 50.5%.
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.
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.
| Source | Implied % | Note |
|---|---|---|
| FanDuel | 50.5% | Execution book (this is the price you'd take). |
| DraftKings | 53.5% | Cross-book check. |
| BetMGM | 52.4% | Cross-book check. |
| Polymarket | 50.5% | Real-money prediction-market pool. |
| Kalshi | 51.5% | CFTC-regulated event market. |
| Lakeshore Edge model | 56.6% | Edge vs FanDuel: +6.1pt. |
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.
Frequently asked
What's the model's edge on Tampa Bay Rays @ Baltimore Orioles?
The Lakeshore Edge model rates Tampa Bay Rays at 57% to win or cover, versus FanDuel's implied 50% — a meaningful edge of +6.1pt. 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?
57% by the Lakeshore Edge model. Polymarket's real-money traders price the same outcome at 50.5%. 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 50% on Tampa Bay Rays, but the model has it at 57% — a +6.1pt gap. Multi-book consensus across FanDuel, DraftKings, BetMGM, and Pinnacle agrees the line is stale by 1.6pp. 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 29 Tampa Bay Rays picks, going 16-10 (62% win rate) averaging +5.26pt CLV with 16.6% 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.