San Francisco Giants @ Texas Rangers
SFGAwaySan Francisco Giants52%
@TRHomeTexas Rangers48%
Model PickSan Francisco Giants 52%Market edge — disclosed after closing odds are collectedEvidence 12 structured
The model favors San Francisco Giants at 52% — essentially a toss-up. The main drivers are Starting Pitcher Matchup, Last 10 Games Form, offset by Home Advantage.
Logistic-regression statistical model — predicts San Francisco Giants vs Texas Rangers 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 48% home win was derived
Home Advantage+2.5
Pythagorean Expectation+0.3
Season Win%+1.1
Last 10 Games Form-2.5
Home/Away Split+1.9
Team OBP+1
Team SLG-1
Team ERA+0.2
Team WHIP+1.5
Starting Pitcher Matchup-6.6
Baseline 50% → final home win48.4%
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 | Texas Rangers at home — MLB historical home win rate ~.535 (ballpark familiarity, no travel) | MLB StatsAPI |
| Pythagorean Expectation | Home 46.2% (466 RS/506 RA) vs Away 45.5% (475/524) — strength from runs scored/allowed | MLB StatsAPI |
| Season Win% | Home 55-58 (.487) vs Away 48-65 (.425) | MLB StatsAPI |
| Last 10 Games Form | Home 3-7 vs Away 5-5 · Home L6 | MLB StatsAPI |
| Home/Away Split | Home team home 28-26 · away team away 22-38 | MLB StatsAPI |
| Team OBP | Home .317 vs Away .310 — foundation of scoring | MLB StatsAPI |
| Team SLG | Home .401 vs Away .414 (OPS .718/.724) | MLB StatsAPI |
| Team ERA | Home 4.34 vs Away 4.36 — lower is better | MLB StatsAPI |
| Team WHIP | Home 1.29 vs Away 1.35 — baserunners allowed per inning (lower is better) | MLB StatsAPI |
| Starting Pitcher Matchup | Home MacKenzie Gore (ERA 4.77) vs Away Blade Tidwell (ERA 3.00) | MLB StatsAPI |
| Hitting Detail (BABIP, K, BB) | Home BABIP .293 · K 965 · BB 361 / Away BABIP .294 · K 883 · BB 295 (BABIP is luck-driven → not factored into probability) | MLB StatsAPI |
| Pitching Detail (K/BB, HR9) | Home K/BB 2.89 · HR9 1.27 / Away K/BB 2.06 · 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. Texas Rangers
- San Francisco Giants at Texas Rangers Game Story, Scores/Highlights - 08/03/2026
- How to watch Giants vs. Rangers: TV channel and streaming options for August 3
- San Francisco Giants vs. Texas Rangers: Game Highlights
- San Francisco Giants vs. Texas Rangers - Live Score - August 05, 2026
- Game 113 Game Day Thread - San Francisco Giants @ Texas Rangers
- San Francisco Giants vs Texas Rangers Live Stream: How to Watch MLB
- How to watch Texas Rangers-San Francisco Giants MLB game for free tonight
Frequently asked questions This game's prediction summary
San Francisco Giants vs Texas Rangers — who's more likely to win?
SealedSlate's logistic-regression statistical model gives San Francisco Giants a 52% chance to win (Home 48% · Away 52%). MLB · 2026-08-05 09:05 KST.
How was the 48.4% 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 48.4%. 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.