Baltimore Orioles vs Athletics: MLB Prediction, Pick & Odds — Aug 29, 2026

BAL

38-42

PregameSat, 10:05 PM EDT

ATH

38-40

Verdict

Pass · no edge tonight.

The model doesn't see daylight against the posted line on this game. We don't surface negative-EV picks; check the drill-down for sub-model context.

Why this matchup

1 signal · model + market

Park factor

95 total idx

Oakland Coliseum run environment

Park factor boosts run scoring, so contact quality matters more tonight here.

Sutter Health Park · Sacramento, California

Drill down

Sub-model tables · ensemble breakdown · last meeting · book shop · player props

Pregame · scouting report

The matchup, end-to-end.

Probable starters, projected lineups, head-to-head this season, our model edge against the market — every angle on one surface.

Away starter

TBD

Probable starter not yet announced. ESPN typically posts the card 12–24 hours before first pitch.

Home starter

TBD

Probable starter not yet announced. ESPN typically posts the card 12–24 hours before first pitch.

Vegas line

Lines post once a sportsbook releases them.

Model edge

Our model rates this game once both starters are confirmed.

Head to head

SeriesATH leads series 2-1

TypeRegular Season Series

Model ensemble · how the prediction is built

3 sub-models, blended.

Each sub-model uses a different rating substrate. Bayesian model averaging weights them by rolling Brier score so the ensemble inherits each model's strengths. Disagreement flags games where the sub-models don't see eye-to-eye — lower confidence, wider band.

49.8%

ensemble · BAL favored

Elo Static
fallback · inputs missing
50.0%
P(ATH win)
33%
weight
Elo Pitching
fallback · inputs missing
50.0%
P(ATH win)
32%
weight
Bullpen Park
fallback · inputs missing
50.0%
P(ATH win)
34%
weight

Disagreement

0.00 pp

weighted σ across sub-models

Confidence

100% · high

maps from disagreement

Substrate count

0 / 3 active

ones with full inputs tonight

Weights recalibrated nightly on a 90-day rolling window with strict point-in-time correctness — no model gets credit for a game it hasn't seen. Headline % is Platt-scaled per league; sub-model rows show raw BMA inputs.

Player projections

ATH vs BAL.

Per-player stat projections built from a recency-weighted blend of the last ten games, season average, and matchup context. Confidence reflects sample size and stability — the top of each list is who to watch.

123

projections · 91 high confidence

Strikeouts

Kyle BradishBAL
5.7± 3.6medium
Gage JumpATH
5.2± 2.0low
Shane BazBAL
5.2± 2.9medium

Hits

Blaze AlexanderBAL
1.3± 1.3high
Nick KurtzATH
1.2± 0.8high
Zack GelofATH
1.2± 0.5high

Total bases

Nick KurtzATH
2.5± 2.7high
Zack GelofATH
2.3± 1.6high
Pete AlonsoBAL
2.1± 2.5high

RBIs

Nick KurtzATH
1.0± 1.7high
Pete AlonsoBAL
0.9± 1.1high
Max MuncyATH
0.7± 1.2high

Earned runs

Jeffrey SpringsATH
3.4± 2.0medium
Trevor RogersBAL
3.3± 2.9low
Aaron CivaleATH
2.8± 3.6low

Projections recompute every 30 minutes · prop lines plug in once sportsbook ingest lands

Matchup · 2026

Team rate stats vs league

MLB Stats API

BAL

league avg

ATH

.726

OPS

.718

▶

.749

.321

OBP

.319

▶

.329

4.69

Runs / G

4.50

4.67

4.41

Team ERA

◀

4.18

5.00

1.38

WHIP

◀

1.31

1.45

7.9

K / 9

8.5

▶

8.4

Data via ESPN · MLB Stats API · Baseball Savant

Baltimore Orioles at Athletics

The matchup, end-to-end.

3 sub-models, blended.

ATH vs BAL.

Team rate stats vs league

3 sub-models, blended.