Milwaukee Brewers @ San Francisco Giants
MBAwayMilwaukee Brewers78%
@SFGHomeSan Francisco Giants22%
Model PickMilwaukee Brewers 78%Market edge — disclosed after closing odds are collectedEvidence 12 structured · 3 qualitative
The model favors Milwaukee Brewers at 78% — a clear favorite. The main drivers are Pythagorean Expectation, Team ERA, offset by Home Advantage.
Logistic-regression statistical model — predicts Milwaukee Brewers vs San Francisco Giants 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 22% home win was derived
Home Advantage+2.5
Pythagorean Expectation-7.5
Season Win%-3.4
Last 10 Games Form-3.6
Home/Away Split-1.3
Team OBP-3.8
Team SLG+1.1
Team ERA-6.8
Team WHIP-3.4
Starting Pitcher Matchup-2.3
Baseline 50% → final home win21.5%
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 | San Francisco Giants at home — MLB historical home win rate ~.535 (ballpark familiarity, no travel) | MLB StatsAPI |
| Pythagorean Expectation | Home 44.7% (439 RS/493 RA) vs Away 63.4% (535/396) — strength from runs scored/allowed | MLB StatsAPI |
| Season Win% | Home 45-61 (.425) vs Away 66-40 (.623) | MLB StatsAPI |
| Last 10 Games Form | Home 4-6 vs Away 7-3 · Home W1 | MLB StatsAPI |
| Home/Away Split | Home team home 25-26 · away team away 30-20 | MLB StatsAPI |
| Team OBP | Home .308 vs Away .336 — foundation of scoring | MLB StatsAPI |
| Team SLG | Home .416 vs Away .400 (OPS .724/.736) | MLB StatsAPI |
| Team ERA | Home 4.34 vs Away 3.42 — lower is better | MLB StatsAPI |
| Team WHIP | Home 1.34 vs Away 1.16 — baserunners allowed per inning (lower is better) | MLB StatsAPI |
| Starting Pitcher Matchup | Home Landen Roupp (ERA 3.93) vs Away Logan Henderson (ERA 3.05) | MLB StatsAPI |
| Hitting Detail (BABIP, K, BB) | Home BABIP .295 · K 836 · BB 271 / Away BABIP .307 · K 866 · BB 434 (BABIP is luck-driven → not factored into probability) | MLB StatsAPI |
| Pitching Detail (K/BB, HR9) | Home K/BB 2.06 · HR9 1.03 / Away K/BB 3.10 · HR9 1.00 | MLB StatsAPI |
Qualitative & folklore factors 3 factors · fully disclosed
Qualitative · Road Trip Opener Loss
The Milwaukee Brewers lost their first game of the West Coast road trip against the San Francisco Giants 3-0, starting the series on a sour note.
Basis: LLM · news · Not a great way to open a West Coast trip
Qualitative · Schmitt's Early Exit
Despite Schmitt's early exit from the game, the San Francisco Giants still secured a win. His injury status and availability for the next game will be crucial.
Basis: LLM · news · Despite Schmitt’s early exit
Qualitative · McCray's Homer Heroics
McCray's two-run homer was a key factor in the San Francisco Giants' 3-0 victory. His hot bat could carry momentum into the next game.
Basis: LLM · news · McCray’s 2-run homer leads the Giants to a 3-0 win
12 source headlines (auto-collected · basis disclosed)
- Series Preview: Milwaukee Brewers @ San Francisco Giants
- Milwaukee Brewers at San Francisco Giants Game Story, Scores/Highlights - 07/27/2026
- Giants 3, Brewers 0: Not a great way to open a West Coast trip
- How to watch San Francisco Giants vs. Milwaukee Brewers
- Giants 3-0 Brewers (Jul 27, 2026) Game Recap
- Milwaukee Brewers vs San Francisco Giants Live Stream: How to Watch MLB
- San Francisco Giants vs. Milwaukee Brewers prediction, pick for MLB on Monday 7/27/26
- Brewers vs. Giants (28 Jul, 2026) Live Score
Frequently asked questions This game's prediction summary
Milwaukee Brewers vs San Francisco Giants — who's more likely to win?
SealedSlate's logistic-regression statistical model gives Milwaukee Brewers a 78% chance to win (Home 22% · Away 78%). MLB · 2026-07-29 10:45 KST.
How was the 21.5% 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 21.5%. 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.