
SEA
90-72

TOR
94-68
Postgame · final
Line score, top performers, model verdict against Vegas, and how the closing line shaped up vs the actual outcome.
Final
SEA wins
SEA 3 · TOR 1 (by 2)
Model verdict
✗ Missed
Picked TOR +6pp
Against the spread
No spread
Line score
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R |
|---|---|---|---|---|---|---|---|---|---|---|
| SEA | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 3 |
| TOR | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Final play
“End of the 9th inning”
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
eattle Mariners went into Toronto Blue Jays and beat them, 3–1.
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

Cal Raleigh
C
4-2
AB-H
1
R
1
RBI
TOR · top performer

George Springer
DH
4-1
AB-H
1
R
1
RBI
MLB · Box scoreSTATCAST


SEA
90-72
| Batting | ||||||||
|---|---|---|---|---|---|---|---|---|
| Player | H-AB | AB | R | H | RBI | HR | BB | K |
| 0-4 | 4 | 1 | 0 | 0 | 0 | 1 | 2 | |
SPRINT26.941 | ||||||||
| 2-4 | 4 | 1 | 2 | 1 | 1 | 0 | 2 | |
SPRINT25.716 | ||||||||
| 1-2 | 2 | 1 | 1 | 0 | 0 | 2 | 1 | |
SPRINT28.688 | ||||||||
| 2-4 | 4 | 0 | 2 | 2 | 0 | 0 | 0 | |
SPRINT25.310 | ||||||||
| 0-4 | 4 | 0 | 0 | 0 | 0 | 0 | 2 | |
| 1-4 | 4 | 0 | 1 | 0 | 0 | 0 | 1 | |
SPRINT25.818 | ||||||||
| 0-4 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | |
| 1-4 | 4 | 0 | 1 | 0 | 0 | 0 | 2 | |
| 0-4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Team | 7-34 | 34 | 3 | 7 | 3 | 1 | 3 | 11 |
| Pitching | |||||||
|---|---|---|---|---|---|---|---|
| Player | IP | H | R | ER | BB | K | HR |
| 6.0 | 2 | 1 | 1 | 3 | 3 | 1 | |
| 1.0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 1.0 | 0 | 0 | 0 | 0 | 1 | 0 | |
| 1.0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Team | 9.0 | 2 | 1 | 1 | 3 | 4 | 1 |
TOR
94-68
| Batting | ||||||||
|---|---|---|---|---|---|---|---|---|
| Player | H-AB | AB | R | H | RBI | HR | BB | K |
| 1-4 | 4 | 1 | 1 | 1 | 1 | 0 | 2 | |
SPRINT25.920 | ||||||||
| 0-1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | |
SPRINT27.148 | ||||||||
| 0-4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 0-2 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | |
| 0-4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 0-3 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | |
| 0-3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 1-3 | 3 | 0 | 1 | 0 | 0 | 0 | 1 | |
| 0-3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 0-1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |
SPRINT29.597 | ||||||||
| 0-1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |
SPRINT26.838 | ||||||||
| Team | 2-29 | 29 | 1 | 2 | 1 | 1 | 3 | 4 |
| Pitching | |||||||
|---|---|---|---|---|---|---|---|
| Player | IP | H | R | ER | BB | K | HR |
| 5.2 | 3 | 2 | 2 | 1 | 5 | 1 | |
| 0.1 | 1 | 0 | 0 | 0 | 1 | 0 | |
| 1.0 | 1 | 0 | 0 | 0 | 1 | 0 | |
| 0.1 | 1 | 1 | 1 | 2 | 1 | 0 | |
| 0.2 | 0 | 0 | 0 | 0 | 2 | 0 | |
| 1.0 | 1 | 0 | 0 | 0 | 1 | 0 | |
| Team | 9.0 | 7 | 3 | 3 | 3 | 11 | 1 |
Pitcher arsenals · per-pitch detail
Statcast · via Baseball SavantSEA
No arsenal data yet for this team’s pitchers.
TOR
Stat compare
Headline stats · full table below
7
Hits
2
3
Runs
1
1
Errors
0
Playoff series
SEA leads series 1-0
Headlines · top performers
Biggest swing: 17pp · Top 6th Inning
C. Raleigh
CBatter of the game
2-for-4 · 1 HR · 1.750 OPS
B. Miller
SPStarting pitcherQuality start
6.0 IP · 3 K · 1 ER · 2 H · 3 BB
G. Springer
DHBatter of the game
1-for-4 · 1 HR · 1.250 OPS
K. Gausman
SPStarting pitcher
5.2 IP · 5 K · 2 ER · 3 H · 1 BB
How it ended
SEA beat TOR 3-1.
Last play
End of the 9th inning
Win probability
TOR vs SEA
Clutch moments · top swings
ranked by WP impactSpringer · homered to right (385 feet).
Polanco · singled to left, Rodríguez scored.
Polanco · singled to right, Arozarena scored, Rodríguez to second.
Linescore (innings)
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R |
|---|---|---|---|---|---|---|---|---|---|---|
| SEA | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 3 |
| TOR | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Period scoring
SEA won 2 · TOR won 1
Inn 1
Springer 1
Inn 2
Inn 3
Inn 4
Inn 5
Inn 6
Raleigh 1
Inn 7
Inn 8
Polanco 1
Inn 9
Play-by-play · 511 plays
End of the 9th inning
SEA 3·TOR 1
·
SEA 3·TOR 1
Kirk flied out to left.
·
SEA 3·TOR 1
Pitch 3 : Ball In Play
·
SEA 3·TOR 1
Pitch 2 : Strike 2 Swinging
·
SEA 3·TOR 1
Pitch 1 : Strike 1 Looking
·
SEA 3·TOR 1
Andres Munoz pitches to Alejandro Kirk
·
SEA 3·TOR 1
·
SEA 3·TOR 1
Barger flied out to center.BIG MOMENT
·
SEA 3·TOR 1
−5pp
Pitch 1 : Ball In Play
·
SEA 3·TOR 1
Andres Munoz pitches to Addison Barger
·
SEA 3·TOR 1
·
SEA 3·TOR 1
Guerrero Jr. grounded out to shortstop.
·
SEA 3·TOR 1
−4pp
Pitch 4 : Ball In Play
·
SEA 3·TOR 1
Pitch 3 : Strike 2 Foul
·
SEA 3·TOR 1
Pitch 2 : Strike 1 Looking
·
SEA 3·TOR 1
Pitch 1 : Ball 1
·
SEA 3·TOR 1
Andres Munoz pitches to Vladimir Guerrero Jr.
·
SEA 3·TOR 1
Muñoz relieved Brash
·
SEA 3·TOR 1
Bottom of the 9th inning
SEA 3·TOR 1
Middle of the 9th inning
SEA 3·TOR 1
· ·
SEA 3·TOR 1
Arozarena struck out looking.
· ·
SEA 3·TOR 1
Pitch 3 : Strike 3 Looking
· ·
SEA 3·TOR 1
Pitch 2 : Strike 2 Swinging
· ·
SEA 3·TOR 1
Pitch 1 : Strike 1 Swinging
· ·
SEA 3·TOR 1
Jeff Hoffman pitches to Randy Arozarena
· ·
SEA 3·TOR 1
· ·
SEA 3·TOR 1
Crawford grounded out to second, Robles to second.
· ·
SEA 3·TOR 1
+0.5pp
Pitch 4 : Ball In Play
· ·
SEA 3·TOR 1
Team stats
SEA
Away
Stat
TOR
Home
3
Runs
1
7
Hits
2
1
Errors
0
11
TB
5
1
HR
1
3
BB
3
11
K
4
15
LOB
8
STATCAST · Tonight’s standouts
2 of 13 players in cohortHistorical comparables
basis · elo_diff + win_prob + day_of_year + total_runs
Player 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.
125
projections · 81 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.
55.7%
ensemble · TOR favored
Elo Static
56.4%
P(TOR win)
33%
weight
Elo Pitching
55.9%
P(TOR win)
33%
weight
Bullpen Park
55.9%
P(TOR win)
34%
weight
Disagreement
0.24 pp
weighted σ across sub-models
Confidence
98% · 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.