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Los Angeles Angels @ San Francisco Giants

MLB · 2026-07-25 11:15 KST · Scheduled
LAAAwayLos Angeles Angels30%
@
SFGHomeSan Francisco Giants70%
Model PickSan Francisco Giants 70%Market edge — disclosed after closing odds are collectedEvidence 12 structured · 3 qualitative
AI Summary grounded in real data · zero hallucination

Our model projects a 70% win probability for the San Francisco Giants, primarily driven by a significant 13.8%p advantage in "Starting Pitcher Matchup" and a 2.5%p edge from "Home Advantage." However, with no calculated edge against the market, it's unclear if this pick represents a favorable betting opportunity.

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Logistic-regression statistical model — predicts Los Angeles Angels 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 70% home win was derived
Home Advantage+2.5
Pythagorean Expectation-0.4
Season Win%+0.2
Home/Away Split+1.7
Team OBP-1.2
Team SLG+2.2
Team ERA+1
Team WHIP+0.2
Starting Pitcher Matchup+13.8
Baseline 50% → final home win70.1%
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
MetricAnalysis (home vs away)Source
Home AdvantageSan Francisco Giants at home — MLB historical home win rate ~.535 (ballpark familiarity, no travel)MLB StatsAPI
Pythagorean ExpectationHome 43.5% (417 RS/481 RA) vs Away 44.4% (442/500) — strength from runs scored/allowedMLB StatsAPI
Season Win%Home 42-60 (.412) vs Away 41-62 (.398)MLB StatsAPI
Last 10 Games FormHome 4-6 vs Away 4-6 · Home L5MLB StatsAPI
Home/Away SplitHome team home 22-25 · away team away 17-34MLB StatsAPI
Team OBPHome .307 vs Away .315 — foundation of scoringMLB StatsAPI
Team SLGHome .416 vs Away .387 (OPS .723/.702)MLB StatsAPI
Team ERAHome 4.40 vs Away 4.52 — lower is betterMLB StatsAPI
Team WHIPHome 1.35 vs Away 1.36 — baserunners allowed per inning (lower is better)MLB StatsAPI
Starting Pitcher MatchupHome Logan Webb (ERA 3.87) vs Away Grayson Rodriguez (ERA 8.23)MLB StatsAPI
Hitting Detail (BABIP, K, BB)Home BABIP .295 · K 804 · BB 254 / Away BABIP .300 · K 977 · BB 330 (BABIP is luck-driven → not factored into probability)MLB StatsAPI
Pitching Detail (K/BB, HR9)Home K/BB 2.06 · HR9 1.04 / Away K/BB 2.10 · HR9 1.09MLB StatsAPI
Qualitative & folklore factors 3 factors · fully disclosed
Qualitative · Veteran Release Impact
The San Francisco Giants released a 9-year MLB veteran just before the Angels series, which could subtly shift team dynamics or lineup composition.
Basis: LLM · news · San Francisco Giants Announced Release of 9-Year M
Qualitative · Ending the Slide Motivation
The San Francisco Giants are currently on a losing streak and will be highly motivated to snap it against the Angels.
Basis: LLM · news · Giants to end slide in matchup with the Angels
Qualitative · Injury Report & Lineup Shifts
An injury report has been released prior to the game, indicating potential impacts on player availability or lineup changes.
Basis: LLM · news · Giants vs. Angels: Injury Report, Updates & Probab
12 source headlines (auto-collected · basis disclosed)
  • Los Angeles Angels at San Francisco Giants Preview - 07/24/2026
  • Where to watch Los Angeles Angels vs San Francisco Giants: TV channel, start time, streaming for July 24
  • San Francisco Giants Announced Release of 9-Year MLB Vet Before Angels Series
  • Giants to end slide in matchup with the Angels
  • Angels vs. Giants (Jul 24, 2026) Odds and Spread
  • Giants vs. Angels: Injury Report, Updates & Probable Starters – July 24
  • Dodgers vs. Giants (14 Jun, 2027) Live Score
  • SF Giants News: Oracle Park promotions this weekend
Frequently asked questions This game's prediction summary
Los Angeles Angels vs San Francisco Giants — who's more likely to win?
SealedSlate's logistic-regression statistical model gives San Francisco Giants a 70% chance to win (Home 70% · Away 30%). MLB · 2026-07-25 11:15 KST.
How was the 70.1% 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 70.1%. 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.