Tampa Bay Rays @ Colorado Rockies
TBRAwayTampa Bay Rays83%
@CRHomeColorado Rockies17%
Model PickTampa Bay Rays 83%Market edge — disclosed after closing odds are collectedEvidence 12 structured
The model favors Tampa Bay Rays at 83% — a clear favorite. The main drivers are Team ERA, Team WHIP, offset by Home Advantage.
Logistic-regression statistical model — predicts Tampa Bay Rays vs Colorado Rockies 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 17% home win was derived
Home Advantage+2.5
Pythagorean Expectation-4.5
Season Win%-3.4
Last 10 Games Form-3.7
Home/Away Split-0.2
Team OBP-0.9
Team SLG+1.4
Team ERA-13.4
Team WHIP-6.8
Starting Pitcher Matchup-3.9
Baseline 50% → final home win17.1%
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 | Colorado Rockies at home — MLB historical home win rate ~.535 (ballpark familiarity, no travel) | MLB StatsAPI |
| Pythagorean Expectation | Home 42.2% (554 RS/658 RA) vs Away 53.5% (506/469) — strength from runs scored/allowed | MLB StatsAPI |
| Season Win% | Home 45-69 (.395) vs Away 67-46 (.593) | MLB StatsAPI |
| Last 10 Games Form | Home 4-6 vs Away 7-3 · Home L2 | MLB StatsAPI |
| Home/Away Split | Home team home 27-31 · away team away 26-28 | MLB StatsAPI |
| Team OBP | Home .324 vs Away .330 — foundation of scoring | MLB StatsAPI |
| Team SLG | Home .423 vs Away .403 (OPS .747/.733) | MLB StatsAPI |
| Team ERA | Home 5.52 vs Away 3.77 — lower is better | MLB StatsAPI |
| Team WHIP | Home 1.52 vs Away 1.15 — baserunners allowed per inning (lower is better) | MLB StatsAPI |
| Starting Pitcher Matchup | Home Tomoyuki Sugano (ERA 4.47) vs Away Nick Martinez (ERA 2.77) | MLB StatsAPI |
| Hitting Detail (BABIP, K, BB) | Home BABIP .308 · K 989 · BB 352 / Away BABIP .300 · K 814 · BB 370 (BABIP is luck-driven → not factored into probability) | MLB StatsAPI |
| Pitching Detail (K/BB, HR9) | Home K/BB 2.17 · HR9 1.44 / Away K/BB 3.12 · HR9 1.26 | 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)
- Tampa Bay Rays at Colorado Rockies Game Story, Scores/Highlights - 08/04/2026
- Tampa Bay Rays @ Colorado Rockies game discussion: Freddy Peralta vs. Gabriel Hughes
- Rockies rally comes up short in 13-9 loss to Rays
- Tampa Bay Rays vs. Colorado Rockies: Game Highlights
- Where to watch Tampa Bay Rays vs Colorado Rockies: TV channel, start time, streaming for Aug. 4
- Colorado Rockies vs. Tampa Bay Rays: Game preview, picks and props for Monday
- How to Watch Rays vs. Rockies: Streaming & TV on Aug. 4
- Mets trade pitcher Freddy Peralta to Rays for 3 minor leaguers
Frequently asked questions This game's prediction summary
Tampa Bay Rays vs Colorado Rockies — who's more likely to win?
SealedSlate's logistic-regression statistical model gives Tampa Bay Rays a 83% chance to win (Home 17% · Away 83%). MLB · 2026-08-06 04:10 KST.
How was the 17.1% 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 17.1%. 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.