Pittsburgh Pirates @ Milwaukee Brewers
PPAwayPittsburgh Pirates27%
@MBHomeMilwaukee Brewers73%
Model PickMilwaukee Brewers 73%Market edge — disclosed after closing odds are collectedEvidence 12 structured
The model favors Milwaukee Brewers at 73% — a clear favorite. The main drivers are Team ERA, Pythagorean Expectation, offset by Starting Pitcher Matchup.
Logistic-regression statistical model — predicts Pittsburgh Pirates vs Milwaukee Brewers 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 73% home win was derived
Home Advantage+2.5
Pythagorean Expectation+4.1
Season Win%+2.3
Last 10 Games Form+3.6
Home/Away Split+2
Team OBP+0.4
Team SLG-1.1
Team ERA+6.6
Team WHIP+3.4
Starting Pitcher Matchup-1.2
Baseline 50% → final home win72.5%
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 | Milwaukee Brewers at home — MLB historical home win rate ~.535 (ballpark familiarity, no travel) | MLB StatsAPI |
| Pythagorean Expectation | Home 62.5% (566 RS/428 RA) vs Away 52.2% (586/559) — strength from runs scored/allowed | MLB StatsAPI |
| Season Win% | Home 71-43 (.623) vs Away 57-59 (.491) | MLB StatsAPI |
| Last 10 Games Form | Home 6-4 vs Away 3-7 · Home W2 | MLB StatsAPI |
| Home/Away Split | Home team home 38-21 · away team away 28-31 | MLB StatsAPI |
| Team OBP | Home .336 vs Away .333 — foundation of scoring | MLB StatsAPI |
| Team SLG | Home .397 vs Away .413 (OPS .733/.746) | MLB StatsAPI |
| Team ERA | Home 3.45 vs Away 4.30 — lower is better | MLB StatsAPI |
| Team WHIP | Home 1.16 vs Away 1.33 — baserunners allowed per inning (lower is better) | MLB StatsAPI |
| Starting Pitcher Matchup | Home Dustin May (ERA 4.38) vs Away Braxton Ashcraft (ERA 3.96) | MLB StatsAPI |
| Hitting Detail (BABIP, K, BB) | Home BABIP .306 · K 934 · BB 473 / Away BABIP .317 · K 1101 · BB 419 (BABIP is luck-driven → not factored into probability) | MLB StatsAPI |
| Pitching Detail (K/BB, HR9) | Home K/BB 3.14 · HR9 1.00 / Away K/BB 2.54 · HR9 1.04 | 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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- Where to watch Paul Skenes and Pirates vs. Brewers tonight on free streams, TV
Frequently asked questions This game's prediction summary
Pittsburgh Pirates vs Milwaukee Brewers — who's more likely to win?
SealedSlate's logistic-regression statistical model gives Milwaukee Brewers a 73% chance to win (Home 73% · Away 27%). MLB · 2026-08-07 03:10 KST.
How was the 72.5% 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 72.5%. 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.