San Francisco Giants @ San Diego Padres
SFGAwaySan Francisco Giants35%
@SDPHomeSan Diego Padres65%
Model PickSan Diego Padres 65%Market edge — disclosed after closing odds are collectedEvidence 12 structured
AI Summary grounded in real data · zero hallucination
Our model projects the San Diego Padres with a 65% win probability and recommends a bet on the Padres. This pick is primarily driven by the 'Starting Pitcher Matchup', where the Padres show a significant positive delta of 8.1%. A key swing risk is the Padres' lower 'Team SLG' (-2.5%). The market edge for this pick is currently uncalculated.
Logistic-regression statistical model — predicts San Francisco Giants vs San Diego Padres 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 65% home win was derived
Home Advantage+2.5
Pythagorean Expectation+0.8
Season Win%+1.3
Last 10 Games Form+1.2
Home/Away Split+2
Team OBP-0.1
Team SLG-2.5
Team ERA+1.4
Team WHIP+0.5
Starting Pitcher Matchup+8.1
Baseline 50% → final home win65.1%
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 | San Diego Padres at home — MLB historical home win rate ~.535 (ballpark familiarity, no travel) | MLB StatsAPI |
| Pythagorean Expectation | Home 47.9% (454 RS/475 RA) vs Away 45.8% (461/505) — strength from runs scored/allowed | MLB StatsAPI |
| Season Win% | Home 55-54 (.505) vs Away 47-62 (.431) | MLB StatsAPI |
| Last 10 Games Form | Home 6-4 vs Away 5-5 · Home L1 | MLB StatsAPI |
| Home/Away Split | Home team home 29-25 · away team away 21-35 | MLB StatsAPI |
| Team OBP | Home .310 vs Away .311 — foundation of scoring | MLB StatsAPI |
| Team SLG | Home .383 vs Away .417 (OPS .693/.728) | MLB StatsAPI |
| Team ERA | Home 4.17 vs Away 4.33 — lower is better | MLB StatsAPI |
| Team WHIP | Home 1.33 vs Away 1.35 — baserunners allowed per inning (lower is better) | MLB StatsAPI |
| Starting Pitcher Matchup | Home Bradgley Rodriguez (ERA 2.33) vs Away Carson Whisenhunt (ERA 4.60) | MLB StatsAPI |
| Hitting Detail (BABIP, K, BB) | Home BABIP .276 · K 897 · BB 370 / Away BABIP .296 · K 854 · BB 283 (BABIP is luck-driven → not factored into probability) | MLB StatsAPI |
| Pitching Detail (K/BB, HR9) | Home K/BB 2.34 · HR9 1.14 / Away K/BB 2.05 · HR9 1.00 | 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)
- How to watch San Francisco Giants vs. San Diego Padres
- San Francisco Giants at San Diego Padres Game Story, Scores/Highlights - 07/30/2026
- San Diego Padres vs. San Francisco Giants prediction, pick for MLB on Thursday 7/30/26
- San Francisco Giants vs. San Diego Padres: Game Highlights
- How to watch Giants vs. Padres: TV channel and streaming options for July 30
- San Francisco Giants at San Diego Padres
- San Francisco Giants at San Diego Padres Preview - 07/30/2026
- San Francisco Giants at San Diego Padres Preview - 07/31/2026
Frequently asked questions This game's prediction summary
San Francisco Giants vs San Diego Padres — who's more likely to win?
SealedSlate's logistic-regression statistical model gives San Diego Padres a 65% chance to win (Home 65% · Away 35%). MLB · 2026-08-01 10:45 KST.
How was the 65.1% 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 65.1%. 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.