
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
TOR wins
SEA 2 · TOR 6 (by 4)
Model verdict
✓ Hit
Picked TOR +5pp
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 | 0 | 0 | 2 |
| TOR | 0 | 2 | 2 | 0 | 1 | 0 | 1 | 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
oronto Blue Jays held off Seattle Mariners, 6–2.
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

Josh Naylor
1B
4-2
AB-H
1
R
1
RBI
TOR · top performer

Addison Barger
RF
3-2
AB-H
1
R
3
RBI
MLB · Box scoreSTATCAST


SEA
90-72
| Batting | ||||||||
|---|---|---|---|---|---|---|---|---|
| Player | H-AB | AB | R | H | RBI | HR | BB | K |
| 0-3 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | |
| 0-4 | 4 | 0 | 0 | 0 | 0 | 0 | 3 | |
| 0-4 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | |
| 2-4 | 4 | 1 | 2 | 1 | 1 | 0 | 1 | |
SPRINT23.81 | ||||||||
| 2-4 | 4 | 1 | 2 | 0 | 0 | 0 | 2 | |
SPRINT26.941 | ||||||||
| 1-3 | 3 | 0 | 1 | 1 | 0 | 1 | 2 | |
SPRINT25.818 | ||||||||
| 0-2 | 2 | 0 | 0 | 0 | 0 | 2 | 1 | |
| 1-4 | 4 | 0 | 1 | 0 | 0 | 0 | 1 | |
SPRINT25.920 | ||||||||
| 1-3 | 3 | 0 | 1 | 0 | 0 | 0 | 2 | |
SPRINT27.560 | ||||||||
| Team | 7-31 | 31 | 2 | 7 | 2 | 1 | 4 | 13 |
| Pitching | |||||||
|---|---|---|---|---|---|---|---|
| Player | IP | H | R | ER | BB | K | HR |
| 4.0 | 7 | 5 | 4 | 1 | 3 | 2 | |
| 2.0 | 1 | 0 | 0 | 0 | 1 | 0 | |
| 1.0 | 1 | 1 | 1 | 2 | 1 | 0 | |
| 1.0 | 2 | 0 | 0 | 0 | 1 | 0 | |
| Team | 8.0 | 11 | 6 | 5 | 3 | 6 | 2 |
TOR
94-68
| Batting | ||||||||
|---|---|---|---|---|---|---|---|---|
| Player | H-AB | AB | R | H | RBI | HR | BB | K |
| 0-4 | 4 | 0 | 0 | 0 | 0 | 1 | 1 | |
| 2-5 | 5 | 0 | 2 | 0 | 0 | 0 | 1 | |
SPRINT27.148 | ||||||||
| 2-4 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | |
SPRINT26.123 | ||||||||
| 1-5 | 5 | 0 | 1 | 0 | 0 | 0 | 1 | |
| 1-4 | 4 | 1 | 1 | 0 | 0 | 0 | 1 | |
SPRINT26.838 | ||||||||
| 2-3 | 3 | 2 | 2 | 0 | 0 | 1 | 0 | |
SPRINT27.354 | ||||||||
| 2-3 | 3 | 1 | 2 | 3 | 1 | 1 | 0 | |
| 1-4 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | |
| 0-4 | 4 | 0 | 0 | 0 | 0 | 0 | 2 | |
| Team | 11-36 | 36 | 6 | 11 | 5 | 2 | 3 | 6 |
| Pitching | |||||||
|---|---|---|---|---|---|---|---|
| Player | IP | H | R | ER | BB | K | HR |
| 5.2 | 6 | 2 | 2 | 3 | 7 | 1 | |
| 1.1 | 1 | 0 | 0 | 0 | 2 | 0 | |
| 2.0 | 0 | 0 | 0 | 1 | 4 | 0 | |
| Team | 9.0 | 7 | 2 | 2 | 4 | 13 | 1 |
Pitcher arsenals · per-pitch detail
Statcast · via Baseball SavantSEA
TOR
Stat compare
Headline stats · full table below
7
Hits
11
2
Runs
6
3
Errors
0
Playoff series
Series tied 3-3
Headlines · top performers
Biggest swing: 16pp · Bottom 3rd Inning
J. Naylor
1BBatter of the game
2-for-4 · 1 HR · 1.750 OPS
L. Gilbert
SPStarting pitcher
4.0 IP · 3 K · 4 ER · 7 H · 1 BB
A. Barger
RFBatter of the gamePerfect day
2-for-3 · 1 HR · 2.417 OPS
T. Yesavage
SPStarting pitcher
5.2 IP · 7 K · 2 ER · 6 H · 3 BB
How it ended
TOR beat SEA 6-2.
Win probability
TOR vs SEA
Clutch moments · top swings
ranked by WP impactBarger · singled to right, Varsho scored, Clement to third.
Kirk · grounded out to third.
Barger · homered to right center (403 feet), Clement scored.
Linescore (innings)
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R |
|---|---|---|---|---|---|---|---|---|---|---|
| SEA | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 |
| TOR | 0 | 2 | 2 | 0 | 1 | 0 | 1 | 0 | — | 6 |
Period scoring
SEA won 1 · TOR won 4
Inn 1
Inn 2
Barger 1
Inn 3
Barger 2
Inn 4
Inn 5
Jr. 1
Inn 6
Naylor 1
Inn 7
Varsho 1
Inn 8
Inn 9
Play-by-play · 540 plays
· ·
SEA 2·TOR 6
Canzone popped out to third.
· ·
SEA 2·TOR 6
Pitch 4 : Ball In Play
· ·
SEA 2·TOR 6
Pitch 3 : Strike 2 Foul
· ·
SEA 2·TOR 6
Crawford to second on fielder's indifference.
·
SEA 2·TOR 6
Crawford to second on fielder's indifference.
·
SEA 2·TOR 6
Pitch 2 : Ball 1
· ·
SEA 2·TOR 6
Pitch 1 : Strike 1 Foul
· ·
SEA 2·TOR 6
Jeff Hoffman pitches to Dominic Canzone
· ·
SEA 2·TOR 6
·
SEA 2·TOR 6
Crawford walked.
·
SEA 2·TOR 6
Pitch 5 : Ball 4
·
SEA 2·TOR 6
Pitch 4 : Ball 3
·
SEA 2·TOR 6
Pitch 3 : Strike 1 Swinging
·
SEA 2·TOR 6
Pitch 2 : Ball 2
·
SEA 2·TOR 6
Pitch 1 : Ball 1
·
SEA 2·TOR 6
Jeff Hoffman pitches to J.P. Crawford
·
SEA 2·TOR 6
·
SEA 2·TOR 6
Suárez struck out swinging.
·
SEA 2·TOR 6
Pitch 7 : Strike 3 Swinging
·
SEA 2·TOR 6
Pitch 6 : Ball 3
·
SEA 2·TOR 6
Pitch 5 : Strike 2 Foul
·
SEA 2·TOR 6
Pitch 4 : Strike 2 Swinging
·
SEA 2·TOR 6
Pitch 3 : Ball 2
·
SEA 2·TOR 6
Pitch 2 : Ball 1
·
SEA 2·TOR 6
Pitch 1 : Strike 1 Swinging
·
SEA 2·TOR 6
Jeff Hoffman pitches to Eugenio Suarez
·
SEA 2·TOR 6
·
SEA 2·TOR 6
Arozarena struck out swinging.
·
SEA 2·TOR 6
+0.8pp
Pitch 4 : Strike 3 Swinging
·
SEA 2·TOR 6
Team stats
SEA
Away
Stat
TOR
Home
2
Runs
6
7
Hits
11
3
Errors
0
10
TB
20
1
HR
2
4
BB
3
13
K
6
11
LOB
18
STATCAST · Tonight’s standouts
2 of 14 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.
54.8%
ensemble · TOR favored
Elo Static
55.3%
P(TOR win)
33%
weight
Elo Pitching
56.1%
P(TOR win)
33%
weight
Bullpen Park
54.8%
P(TOR win)
34%
weight
Disagreement
0.54 pp
weighted σ across sub-models
Confidence
96% · 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.