SealedSlate LOGIT v1Subscribe
MLB 07:35 KSTJays @ OriolesMLB 07:40 KSTNationals @ TigersWNBA 09:00 KSTDream @ LibertyMLB 10:45 KSTTwins @ GiantsWNBA 11:00 KSTWings @ MercuryMLS 10:30 KSTLake @ FC

Toronto Blue Jays @ Baltimore Orioles

MLB · 2026-09-22 07:35 KST · Scheduled
TBJAwayToronto Blue Jays49%
@
BOHomeBaltimore Orioles51%
Model PickBaltimore Orioles 51%Market edge — disclosed after closing odds are collectedEvidence 12 structured · 3 qualitative
AI Summary grounded in real data · zero hallucination

Our model projects the Baltimore Orioles with a 51% win probability, making them the pick against the Toronto Blue Jays. This projection is primarily driven by the Orioles' advantages in 'Home Advantage' (deltaPct 2.5) and 'Last 10 Games Form' (deltaPct 1.2). However, the Blue Jays' strengths in 'Team ERA' (deltaPct -1.8) and 'Starting Pitcher Matchup' (deltaPct -1.7) present key risks for this game. The market edge is currently uncalculated.

Full deep analysis in Premium (coming soon)
  • In-depth breakdown of pick mechanics, key variables & scenarios
  • Sealed high-confidence picks & result alerts (KakaoTalk, email)
  • Parlay EV optimization & archive export
See pricing & Premium
Logistic-regression statistical model — predicts Toronto Blue Jays vs Baltimore Orioles 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 51% home win was derived
Home Advantage+2.5
Pythagorean Expectation+0.4
Season Win%-0.2
Last 10 Games Form+1.2
Home/Away Split-0.2
Team OBP+0.4
Team SLG+0.8
Team ERA-1.8
Team WHIP-1
Starting Pitcher Matchup-1.7
Baseline 50% → final home win50.5%
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
MetricAnalysis (home vs away)Source
Home AdvantageBaltimore Orioles at home — MLB historical home win rate ~.535 (ballpark familiarity, no travel)MLB StatsAPI
Pythagorean ExpectationHome 48.0% (693 RS/724 RA) vs Away 47.0% (629/671) — strength from runs scored/allowedMLB StatsAPI
Season Win%Home 75-81 (.481) vs Away 77-79 (.494)MLB StatsAPI
Last 10 Games FormHome 5-5 vs Away 4-6 · Home L3MLB StatsAPI
Home/Away SplitHome team home 36-42 · away team away 37-41MLB StatsAPI
Team OBPHome .314 vs Away .311 — foundation of scoringMLB StatsAPI
Team SLGHome .394 vs Away .383 (OPS .708/.694)MLB StatsAPI
Team ERAHome 4.12 vs Away 3.91 — lower is betterMLB StatsAPI
Team WHIPHome 1.34 vs Away 1.30 — baserunners allowed per inning (lower is better)MLB StatsAPI
Starting Pitcher MatchupHome Shane Baz (ERA 4.11) vs Away Trey Yesavage (ERA 3.65)MLB StatsAPI
Hitting Detail (BABIP, K, BB)Home BABIP .286 · K 1464 · BB 569 / Away BABIP .286 · K 1111 · BB 441 (BABIP is luck-driven → not factored into probability)MLB StatsAPI
Pitching Detail (K/BB, HR9)Home K/BB 2.42 · HR9 1.09 / Away K/BB 2.34 · HR9 1.04MLB StatsAPI
Qualitative & folklore factors 3 factors · fully disclosed
Qualitative · Yesavage Named Monday Starter
The Blue Jays have officially tabbed rookie Trey Yesavage to start Monday's series opener against the Orioles, executing a specific developmental plan for the young pitcher.
Basis: LLM · news · Blue Jays' Trey Yesavage to start Monday against O
Qualitative · Coby Mayo's Offensive Surge
Orioles prospect Coby Mayo is rewarding the team's patience with strong recent performances, providing a significant spark to the Baltimore lineup.
Basis: LLM · news · Coby Mayo Is Rewarding the Orioles for Their Patie
Qualitative · Guerrero Jr. Stays Red Hot
Vladimir Guerrero Jr. enters the series in peak form after thumping the Orioles with a dominant four-hit performance, including a home run.
Basis: LLM · news · Guerrero has four hits, including first HR at home
12 source headlines (auto-collected · basis disclosed)
  • Toronto Blue Jays at Baltimore Orioles Preview - 09/21/2026
  • Orioles host the Blue Jays to open 3-game series
  • Toronto Blue Jays Announce Rough Anthony Santander News Before Tigers Game
  • Blue Jays' Yesavage starting Monday vs. Orioles
  • MLB Power Rankings: 6 Non-Playoff Teams Built to Surprise in 2027
  • 2026 MLB postseason: Magic number for Toronto Blue Jays to make playoffs
  • Baltimore Orioles vs. Toronto Blue Jays Series Sept. 21-23: Odds, Starting Pitchers & Predictions
  • Blue Jays' Trey Yesavage to start Monday against Orioles
Frequently asked questions This game's prediction summary
Toronto Blue Jays vs Baltimore Orioles — who's more likely to win?
SealedSlate's logistic-regression statistical model gives Baltimore Orioles a 51% chance to win (Home 51% · Away 49%). MLB · 2026-09-22 07:35 KST.
How was the 50.5% 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 50.5%. 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.