Los Angeles Angels @ Baltimore Orioles
LAAAwayLos Angeles Angels35%
@BOHomeBaltimore Orioles65%
Model PickBaltimore Orioles 65%Market edge — disclosed after closing odds are collectedEvidence 12 structured
The model favors Baltimore Orioles at 65% — a clear favorite. The main drivers are Last 10 Games Form, Home Advantage.
Logistic-regression statistical model — predicts Los Angeles Angels 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 65% home win was derived
Home Advantage+2.5
Pythagorean Expectation+1.4
Season Win%+1.7
Last 10 Games Form+3.7
Home/Away Split+2.1
Team OBP+1
Team SLG+0.6
Team ERA+1.9
Team WHIP+0.5
Baseline 50% → final home win65.3%
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 | Baltimore Orioles at home — MLB historical home win rate ~.535 (ballpark familiarity, no travel) | MLB StatsAPI |
| Pythagorean Expectation | Home 46.9% (507 RS/542 RA) vs Away 43.4% (470/544) — strength from runs scored/allowed | MLB StatsAPI |
| Season Win% | Home 54-58 (.482) vs Away 43-69 (.384) | MLB StatsAPI |
| Last 10 Games Form | Home 5-5 vs Away 2-8 · Home L2 | MLB StatsAPI |
| Home/Away Split | Home team home 30-29 · away team away 18-36 | MLB StatsAPI |
| Team OBP | Home .320 vs Away .313 — foundation of scoring | MLB StatsAPI |
| Team SLG | Home .391 vs Away .382 (OPS .711/.695) | MLB StatsAPI |
| Team ERA | Home 4.26 vs Away 4.49 — lower is better | MLB StatsAPI |
| Team WHIP | Home 1.35 vs Away 1.37 — baserunners allowed per inning (lower is better) | MLB StatsAPI |
| Starting Pitcher Matchup | Home TBD (ERA ?) vs Away Grayson Rodriguez (ERA 7.98) | MLB StatsAPI |
| Hitting Detail (BABIP, K, BB) | Home BABIP .289 · K 1031 · BB 435 / Away BABIP .297 · K 1061 · BB 357 (BABIP is luck-driven → not factored into probability) | MLB StatsAPI |
| Pitching Detail (K/BB, HR9) | Home K/BB 2.33 · HR9 1.10 / Away K/BB 2.10 · HR9 1.11 | 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)
- Los Angeles Angels at Baltimore Orioles Preview - 08/04/2026
- Angels vs. Orioles (Aug 4, 2026) Pregame
- Los Angeles Angels @ Baltimore Orioles Home Run Picks Today (8/4)
- Los Angeles Angels vs. Baltimore Orioles - Boxscore - Live Score - August 05, 2026
- Angels, Orioles meet after playing role of sellers at deadline
- Angels vs Orioles match player stats | 2026 Tuesday, August 4th
- Baltimore Orioles trade away key pieces, including All-Star catcher Adley Rutschman
- Philadelphia Phillies vs Baltimore Orioles Live Stream: How to Watch MLB
Frequently asked questions This game's prediction summary
Los Angeles Angels vs Baltimore Orioles — who's more likely to win?
SealedSlate's logistic-regression statistical model gives Baltimore Orioles a 65% chance to win (Home 65% · Away 35%). MLB · 2026-08-05 07:35 KST.
How was the 65.3% 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 65.3%. 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.