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Toronto Blue Jays @ Houston Astros

MLB · 2026-08-06 03:10 KST · Scheduled
TBJAwayToronto Blue Jays33%
@
HAHomeHouston Astros67%
Model PickHouston Astros 67%Market edge — disclosed after closing odds are collectedEvidence 12 structured

The model favors Houston Astros at 67% — a clear favorite. The main drivers are Starting Pitcher Matchup, Team OBP, offset by Team ERA.

Logistic-regression statistical model — predicts Toronto Blue Jays vs Houston Astros 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 67% home win was derived
Home Advantage+2.5
Pythagorean Expectation+1.5
Season Win%+0.8
Last 10 Games Form+2.5
Home/Away Split+0.8
Team OBP+2.7
Team SLG+2.7
Team ERA-4.5
Team WHIP-1
Starting Pitcher Matchup+8.8
Baseline 50% → final home win66.9%
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 AdvantageHouston Astros at home — MLB historical home win rate ~.535 (ballpark familiarity, no travel)MLB StatsAPI
Pythagorean ExpectationHome 48.0% (536 RS/560 RA) vs Away 44.1% (444/505) — strength from runs scored/allowedMLB StatsAPI
Season Win%Home 59-56 (.513) vs Away 53-61 (.465)MLB StatsAPI
Last 10 Games FormHome 8-2 vs Away 6-4 · Home W1MLB StatsAPI
Home/Away SplitHome team home 30-28 · away team away 25-30MLB StatsAPI
Team OBPHome .322 vs Away .303 — foundation of scoringMLB StatsAPI
Team SLGHome .416 vs Away .377 (OPS .738/.680)MLB StatsAPI
Team ERAHome 4.61 vs Away 4.07 — lower is betterMLB StatsAPI
Team WHIPHome 1.36 vs Away 1.32 — baserunners allowed per inning (lower is better)MLB StatsAPI
Starting Pitcher MatchupHome Hunter Brown (ERA 3.42) vs Away Jameson Taillon (ERA 5.92)MLB StatsAPI
Hitting Detail (BABIP, K, BB)Home BABIP .284 · K 941 · BB 391 / Away BABIP .279 · K 818 · BB 306 (BABIP is luck-driven → not factored into probability)MLB StatsAPI
Pitching Detail (K/BB, HR9)Home K/BB 2.09 · HR9 1.35 / Away K/BB 2.46 · HR9 1.06MLB 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)
  • Toronto Blue Jays at Houston Astros Game Story, Scores/Highlights - 08/03/2026
  • Toronto Blue Jays vs Houston Astros Live Stream: How to Watch MLB
  • Blue Jays Announce Vladimir Guerrero Jr. Change Ahead of Astros Series
  • Where to watch Toronto Blue Jays vs Houston Astros: TV channel, start time, streaming for Aug. 4
  • Toronto Blue Jays vs. Houston Astros: Game Highlights
  • Blue Jays Trade Daulton Varsho to the Astros for Spencer Arrighetti
  • Astros-Blue Jays trade grades: Houston upgrades outfield with Varsho; Toronto get solid starter
  • Astros add center fielder Daulton Varsho from Toronto for righty Spencer Arrighetti
Frequently asked questions This game's prediction summary
Toronto Blue Jays vs Houston Astros — who's more likely to win?
SealedSlate's logistic-regression statistical model gives Houston Astros a 67% chance to win (Home 67% · Away 33%). MLB · 2026-08-06 03:10 KST.
How was the 66.9% 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 66.9%. 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.