Cleveland Guardians @ Tampa Bay Rays
CGAwayCleveland Guardians37%
@TBRHomeTampa Bay Rays63%
Model PickTampa Bay Rays 63%Market edge — disclosed after closing odds are collectedEvidence 12 structured
AI Summary grounded in real data · zero hallucination
Our model projects a 63% win probability for the Tampa Bay Rays, driven by their Home Advantage, Team OBP, and Team WHIP. However, the Cleveland Guardians' Last 10 Games Form presents a key swing risk for this matchup. The market edge for this pick is currently uncalculated.
Logistic-regression statistical model — predicts Cleveland Guardians vs Tampa Bay Rays by accumulating the log-odds contributions of 12 proven structured metrics. Only structured metrics enter the probability; qualitative and folklore factors get a label only. Predictions are sealed with SHA-256 before the game.
Model factor contribution How the 63% home win was derived
Home Advantage+2.5
Pythagorean Expectation+1.5
Season Win%+1
Last 10 Games Form-2.5
Home/Away Split+2.1
Team OBP+3.1
Team SLG+2
Team ERA-1
Team WHIP+2.2
Starting Pitcher Matchup+2.1
Baseline 50% → final home win62.9%
Each factor's log-odds contribution accumulated · only structured metrics reflected (qualitative/folklore excluded) · each %p converts log-odds to probability, so it's non-linear — a simple sum may not exactly equal (final − baseline)
Structured metric analysis 12 metrics · fully disclosed
| Metric | Analysis (home vs away) | Source |
|---|---|---|
| Home Advantage | Tampa Bay Rays at home — MLB historical home win rate ~.535 (ballpark familiarity, no travel) | MLB StatsAPI |
| Pythagorean Expectation | Home 53.1% (459 RS/429 RA) vs Away 49.3% (417/423) — strength from runs scored/allowed | MLB StatsAPI |
| Season Win% | Home 59-43 (.578) vs Away 54-50 (.519) | MLB StatsAPI |
| Last 10 Games Form | Home 4-6 vs Away 6-4 · Home L1 | MLB StatsAPI |
| Home/Away Split | Home team home 35-15 · away team away 27-24 | MLB StatsAPI |
| Team OBP | Home .333 vs Away .312 — foundation of scoring | MLB StatsAPI |
| Team SLG | Home .402 vs Away .375 (OPS .735/.687) | MLB StatsAPI |
| Team ERA | Home 3.83 vs Away 3.71 — lower is better | MLB StatsAPI |
| Team WHIP | Home 1.17 vs Away 1.26 — baserunners allowed per inning (lower is better) | MLB StatsAPI |
| Starting Pitcher Matchup | Home Shane McClanahan (ERA 3.16) vs Away Joey Cantillo (ERA 3.74) | MLB StatsAPI |
| Hitting Detail (BABIP, K, BB) | Home BABIP .300 · K 730 · BB 349 / Away BABIP .280 · K 869 · BB 376 (BABIP is luck-driven → not factored into probability) | MLB StatsAPI |
| Pitching Detail (K/BB, HR9) | Home K/BB 3.00 · HR9 1.27 / Away K/BB 2.77 · HR9 1.14 | MLB StatsAPI |
Qualitative & folklore factors None
This game has no extracted qualitative factors — we don't invent factors without a basis.
12 source headlines (auto-collected · basis disclosed)
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Frequently asked questions This game's prediction summary
Cleveland Guardians vs Tampa Bay Rays — who's more likely to win?
SealedSlate's logistic-regression statistical model gives Tampa Bay Rays a 63% chance to win (Home 63% · Away 37%). MLB · 2026-07-25 08:10 KST.
How was the 62.9% home-win probability calculated?
Starting from a 50% baseline, we additively accumulate the log-odds contributions of 12 proven structured statistical metrics to reach the final 62.9%. Each factor's %p contribution is fully disclosed on the page; qualitative and folklore factors are not reflected in the probability.
Can this prediction be altered later?
No. Every prediction is sealed with a SHA-256 hash before the game starts and permanently recorded in the track record, making after-the-fact changes impossible. SealedSlate runs a transparent ledger that never inflates the hit rate and leaves missed predictions exactly as they were.
We don't compete on hit rate — every factor is fully disclosed and labeled. Only 📊 structured stats feed the probability (each factor's contribution shown in %p); ⚔️🔮 are context to weigh. Predictions are locked and sealed before the game — verify the hits directly on the track record.