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+1.6
Season Win%+1.8
Last 10 Games Form+3.7
Home/Away Split+2.3
Team OBP+0.8
Team SLG+0.6
Team ERA+2
Team WHIP+0.2
Starting Pitcher Matchup-0.8
Baseline 50% → final home win64.7%
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 47.1% (510 RS/543 RA) vs Away 43.2% (471/547) — strength from runs scored/allowed | MLB StatsAPI |
| Season Win% | Home 55-58 (.487) vs Away 43-70 (.381) | MLB StatsAPI |
| Last 10 Games Form | Home 5-5 vs Away 2-8 · Home W1 | MLB StatsAPI |
| Home/Away Split | Home team home 31-29 · away team away 18-37 | MLB StatsAPI |
| Team OBP | Home .319 vs Away .313 — foundation of scoring | MLB StatsAPI |
| Team SLG | Home .391 vs Away .382 (OPS .710/.695) | MLB StatsAPI |
| Team ERA | Home 4.23 vs Away 4.48 — lower is better | MLB StatsAPI |
| Team WHIP | Home 1.35 vs Away 1.36 — baserunners allowed per inning (lower is better) | MLB StatsAPI |
| Starting Pitcher Matchup | Home Trevor Rogers (ERA 4.27) vs Away Reid Detmers (ERA 4.03) | MLB StatsAPI |
| Hitting Detail (BABIP, K, BB) | Home BABIP .288 · K 1038 · BB 437 / Away BABIP .299 · K 1072 · BB 359 (BABIP is luck-driven → not factored into probability) | MLB StatsAPI |
| Pitching Detail (K/BB, HR9) | Home K/BB 2.35 · HR9 1.09 / 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 Game Story, Scores/Highlights - 08/04/2026
- Angels vs. Orioles Prediction, Odds, Probable Pitchers, Prop Bets for Tuesday, Aug. 4
- Los Angeles Angels vs Baltimore Orioles Live Stream: How to Watch MLB
- MLB: Los Angeles Angels at Baltimore Orioles
- Where to watch Los Angeles Angels vs Baltimore Orioles: TV channel, start time, streaming for Aug. 4
- Los Angeles Angels at Baltimore Orioles prediction, pick for Tuesday 8/4/26
- Orioles 3-1 Angels (5 Aug, 2026) Game Recap
- Pete Alonso hits 2-run single and trade-depleted Orioles beat Angels 3-1
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 · 2026-08-06 07:35 KST.
How was the 64.7% 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 64.7%. 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.