
SEA
57-51

ATH
47-63
Matchup · 2026
MLB Stats API
SEA
league avg
ATH
.717
OPS
.715
▶.735
.318
OBP
.319
▶.326
4.30
Runs / G
4.50
4.32
3.57
Team ERA
4.16
4.60
1.19
WHIP
1.31
1.42
8.7
K / 9
8.5
8.3
Postgame · final
Line score, top performers, model verdict against Vegas, and how the closing line shaped up vs the actual outcome.
Final
ATH wins
SEA 1 · ATH 6 (by 5)
Model verdict
✗ Missed
Picked SEA +4pp
Against the spread
No spread
Line score
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R |
|---|---|---|---|---|---|---|---|---|---|---|
| SEA | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
| ATH | 0 | 0 | 4 | 0 | 2 | 0 | 0 | 0 | 6 |
What's next
See every model edge for tonight's remaining games and tomorrow's slate side-by-side, or jump straight to DraftKings & FanDuel for the full board.
21+ · we may earn a referral fee · your odds unchanged.
Data via ESPN · MLB Stats API · Baseball Savant
Recap · MLB
thletics held off Seattle Mariners, 6–1.
ESPN didn't ship a closing line for this game; book settlement summary unavailable.
ByTheOnemodel/auto-generated · live odds + scouting data/refreshes with the page
SEA · top performer

Julio Rodriguez
CF
4-2
AB-H
0
R
0
RBI
ATH · top performer

Shea Langeliers
C
4-2
AB-H
2
R
1
RBI
MLB · Box scoreSTATCAST
| Player | AVG | AB | R | H | RBI | HR | BB | K |
|---|---|---|---|---|---|---|---|---|
| .268 | 4 | 0 | 0 | 0 | 0 | 1 | 1 | |
| .255 | 4 | 0 | 2 | 0 | 0 | 0 | 2 | |
| .260 | 4 | 0 | 1 | 0 | 0 | 0 | 2 | |
| .263 | 4 | 0 | 0 | 0 | 0 | 0 | 2 | |
| .247 | 4 | 1 | 1 | 0 | 0 | 0 | 2 | |
| .252 | 3 | 0 | 1 | 1 | 0 | 1 | 0 | |
| .290 | 3 | 0 | 1 | 0 | 0 | 1 | 2 | |
| .254 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | |
| .241 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Team | 33 | 1 | 6 | 1 | 0 | 4 | 11 |
| Player | IP | H | R | ER | BB | K | PC |
|---|---|---|---|---|---|---|---|
| 4.2 | 7 | 6 | 6 | 2 | 7 | 87 | |
| 1.1 | 1 | 0 | 0 | 1 | 0 | 21 | |
| 2.0 | 0 | 0 | 0 | 0 | 1 | 16 | |
| Team | 8.0 | 8 | 6 | 6 | 3 | 8 | 124 |
| Player | AVG | AB | R | H | RBI | HR | BB | K |
|---|---|---|---|---|---|---|---|---|
| .237 | 3 | 1 | 1 | 0 | 0 | 0 | 2 | |
| .305 | 2 | 1 | 0 | 0 | 0 | 1 | 1 | |
| .272 | 4 | 1 | 1 | 3 | 1 | 0 | 1 | |
| .253 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | |
| .255 | 3 | 1 | 1 | 0 | 0 | 1 | 1 | |
| .294 | 4 | 0 | 2 | 2 | 0 | 0 | 1 | |
| .286 | 3 | 0 | 0 | 0 | 0 | 1 | 1 | |
| .232 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | |
| .250 | 4 | 0 | 1 | 0 | 0 | 0 | 0 | |
| Team | 31 | 6 | 8 | 6 | 2 | 3 | 8 |
| Player | IP | H | R | ER | BB | K | PC |
|---|---|---|---|---|---|---|---|
| 5.0 | 5 | 1 | 1 | 2 | 6 | 93 | |
| 1.0 | 0 | 0 | 0 | 2 | 1 | 19 | |
| 1.0 | 1 | 0 | 0 | 0 | 3 | 20 | |
| 2.0 | 0 | 0 | 0 | 0 | 1 | 23 | |
| Team | 9.0 | 6 | 1 | 1 | 4 | 11 | 155 |
Stat compare
Headline stats · full table below
6
Hits
8
1
Runs
6
0
Errors
0
Current series
Series tied 3-3
Season series
SEA leads series 5-4
Headlines · top performers
Biggest swing: 26pp · Bottom 3rd Inning
J. Rodriguez
CFBatter of the game
2-for-4 · 1.000 OPS
L. Evans
SPStarting pitcher
4.2 IP · 7 K · 6 ER · 7 H · 2 BB
S. Langeliers
CBatter of the game
2-for-4 · 1 HR · 1.750 OPS
L. Severino
SPStarting pitcher
5.0 IP · 6 K · 1 ER · 5 H · 2 BB
How it ended
ATH beat SEA 6-1. Rooker's play in the bottom 3rd inning drove the biggest swing of the night (26pp).
Clutch moments · top swings
ranked by WP impactRooker · homered to left (410 feet), Butler scored and Kurtz scored.
Andujar · doubled to center, Langeliers scored.
Polanco · singled to right, Arozarena scored.
Linescore (innings)
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R |
|---|---|---|---|---|---|---|---|---|---|---|
| SEA | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
| ATH | 0 | 0 | 4 | 0 | 2 | 0 | 0 | 0 | — | 6 |
Team stats
SEA
Away
Stat
ATH
Home
1
Runs
6
6
Hits
8
0
Errors
0
7
TB
17
0
HR
2
4
BB
3
11
K
8
16
LOB
11
Win probability
ATH vs SEA
Period scoring
SEA won 1 · ATH won 2
Inn 1
Inn 2
Inn 3
Rooker 3
Inn 4
Polanco 1
Inn 5
Langeliers 1
Inn 6
Inn 7
Inn 8
Inn 9
Play-by-play · 538 plays
·
SEA 1·ATH 6
Crawford lined out to first.
·
SEA 1·ATH 6
Pitch 5 : Ball In Play
·
SEA 1·ATH 6
Pitch 4 : Strike 2 Swinging
·
SEA 1·ATH 6
Pitch 3 : Ball 2
·
SEA 1·ATH 6
Pitch 2 : Strike 1 Looking
·
SEA 1·ATH 6
Pitch 1 : Ball 1
·
SEA 1·ATH 6
Michael Kelly pitches to J.P. Crawford
·
SEA 1·ATH 6
·
SEA 1·ATH 6
Young grounded out to pitcher.
·
SEA 1·ATH 6
Pitch 5 : Ball In Play
·
SEA 1·ATH 6
Pitch 4 : Ball 1
·
SEA 1·ATH 6
Pitch 3 : Strike 2 Foul
·
SEA 1·ATH 6
Pitch 2 : Strike 2 Looking
·
SEA 1·ATH 6
Pitch 1 : Strike 1 Foul
·
SEA 1·ATH 6
Michael Kelly pitches to Cole Young
·
SEA 1·ATH 6
·
SEA 1·ATH 6
Williamson flied out to left.
·
SEA 1·ATH 6
Pitch 5 : Ball In Play
·
SEA 1·ATH 6
Pitch 4 : Ball 3
·
SEA 1·ATH 6
Pitch 3 : Ball 2
·
SEA 1·ATH 6
Pitch 2 : Strike 1 Looking
·
SEA 1·ATH 6
Pitch 1 : Ball 1
·
SEA 1·ATH 6
Michael Kelly pitches to Ben Williamson
·
SEA 1·ATH 6
Top of the 9th inning
SEA 1·ATH 6
End of the 8th inning
SEA 1·ATH 6
·
SEA 1·ATH 6
Hernaiz lined out to second.
·
SEA 1·ATH 6
Pitch 3 : Ball In Play
·
SEA 1·ATH 6
Pitch 2 : Strike 1 Looking
·
SEA 1·ATH 6
STATCAST · Tonight’s standouts
3 of 15 players in cohortPlayer projections
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 · 83 high confidence
Strikeouts
Hits
Total bases
RBIs
Earned runs
Projections recompute every 30 minutes · prop lines plug in once sportsbook ingest lands
Model ensemble · how the prediction is built
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.
43.0%
ensemble · SEA favored
Elo Static
45.8%
P(ATH win)
33%
weight
Elo Pitching
45.5%
P(ATH win)
32%
weight
Bullpen Park
46.6%
P(ATH win)
34%
weight
Disagreement
0.47 pp
weighted σ across sub-models
Confidence
97% · high
maps from disagreement
Substrate count
3 / 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.