Park factor
95 total idx
T-Mobile Park run environment
Park factor boosts run scoring, so contact quality matters more tonight here.
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Athletics at Seattle Mariners
ATH
ATH
39-42
PregameSat, 9:40 PM EDT
SEA
SEA
41-41
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 + marketT-Mobile Park · Seattle, Washington
Drill down
Sub-model tables · ensemble breakdown · last meeting · book shop · player props
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
SeriesSEA leads series 4-2
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.
49.2%
ensemble · ATH favored
Elo Static
fallback · inputs missing
50.0%
P(SEA win)
34%
weight
Elo Pitching
fallback · inputs missing
50.0%
P(SEA win)
32%
weight
Bullpen Park
fallback · inputs missing
50.0%
P(SEA 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
SEA vs ATH.
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.
126
projections · 92 high confidence
Strikeouts
- Logan GilbertSEA6.4± 2.4medium
- Bryan WooSEA6.2± 3.1medium
- Bryce MillerSEA6.1± 2.8low
Hits
- Randy ArozarenaSEA1.1± 1.2high
- Alika WilliamsATH1.0± 1.1medium
- Jacob WilsonATH1.0± 0.6high
Total bases
- Nick KurtzATH2.1± 2.8high
- Tyler SoderstromATH1.8± 2.1high
- Jonah HeimATH1.7± 2.0high
RBIs
- Nick KurtzATH1.0± 1.7high
- Max MuncyATH0.7± 1.1high
- Jacob WilsonATH0.6± 1.2high
Earned runs
- Jeffrey SpringsATH3.4± 2.0medium
- Aaron CivaleATH2.9± 3.4low
- Bryan WooSEA2.8± 3.2medium
Projections recompute every 30 minutes · prop lines plug in once sportsbook ingest lands
Matchup · 2026
Team rate stats vs league
MLB Stats API
ATH
league avg
SEA
.744
OPS
◀
.719
.695
.329
OBP
◀
.319
.311
4.63
Runs / G
◀
4.50
4.04
4.96
Team ERA
4.18
▶3.71
1.44
WHIP
1.31
▶1.19
8.5
K / 9
8.5
▶8.9
Data via ESPN · MLB Stats API · Baseball Savant