
TOR
76-54

MIA
60-69
Matchup · 2026
MLB Stats API
TOR
league avg
MIA
.680
OPS
.720
▶.731
.303
OBP
.318
▶.325
3.89
Runs / G
4.50
▶4.37
4.08
Team ERA
4.18
▶3.99
1.32
WHIP
1.30
▶1.24
9.0
K / 9
8.5
8.5
Postgame · final
Line score, top performers, model verdict against Vegas, and how the closing line shaped up vs the actual outcome.
Final
TOR wins
TOR 7 · MIA 6 (by 1)
Model verdict
✓ Hit
Picked TOR +5pp
Against the spread
No spread
Line score
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | R |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TOR | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 0 | 0 | 1 | 1 | 1 | 7 |
| MIA | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 1 | 1 | 0 | 6 |
Final play
“End of the 12th 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.
Team pages
Data via ESPN · MLB Stats API · Baseball Savant
TOR · top performer

George Springer
DH
6-3
AB-H
2
R
2
RBI
MIA · top performer

Javier Sanoja
3B
5-3
AB-H
1
R
3
RBI
Biggest swing: 29pp · Bottom 10th Inning
MLB · Box scoreSTATCAST
| Player | ||||||||
|---|---|---|---|---|---|---|---|---|
| .295 | 6 | 2 | 3 | 2 | 1 | 0 | 0 | |
| .253 | 5 | 1 | 0 | 0 | 0 | 1 | 0 | |
| .302 | 6 | 2 | 4 | 1 | 0 | 0 | 0 | |
| .295 | 4 | 0 | 2 | 1 | 0 | 1 | 0 | |
| .233 | 6 | 0 | 1 | 0 | 0 | 0 | 1 | |
| .308 | 3 | 0 | 0 | 1 | 0 | 1 | 2 | |
| .255 | 2 | 1 | 1 | 0 | 0 | 0 | 1 | |
| .274 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | |
| .217 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | |
| .328 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| .260 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | |
| Team | 44 | 7 | 12 | 7 | 1 | 4 | 4 |
| Player | |||||||
|---|---|---|---|---|---|---|---|
| 6.1 | 4 | 2 | 2 | 0 | 8 | 81 | |
| 0.2 | 2 | 1 | 1 | 1 | 1 | 16 | |
| 1.0 | 0 | 0 | 0 | 0 | 2 | 19 | |
| 1.0 | 1 | 1 | 1 | 1 | 1 | 18 | |
| 0.1 | 1 | 1 | 0 | 1 | 0 | 4 | |
| 1.2 | 2 | 1 | 0 | 0 | 1 | 13 | |
| 1.0 | 0 | 0 | 0 | 0 | 0 | 10 | |
| Team | 12.0 | 10 | 6 | 4 | 3 | 13 | 161 |
| Player | ||||||||
|---|---|---|---|---|---|---|---|---|
| .293 | 6 | 0 | 0 | 0 | 0 | 0 | 2 | |
| .338 | 6 | 0 | 1 | 1 | 0 | 0 | 2 | |
| .231 | 5 | 0 | 0 | 0 | 0 | 1 | 2 | |
| .261 | 4 | 1 | 1 | 0 | 0 | 0 | 1 | |
| .234 | 3 | 1 | 1 | 0 | 0 | 1 | 1 | |
| .238 | 5 | 0 | 2 | 1 | 0 | 0 | 1 | |
| .246 | 5 | 1 | 3 | 3 | 0 | 0 | 1 | |
| .237 | 4 | 0 | 1 | 0 | 0 | 1 | 1 | |
| .133 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | |
| .274 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| .204 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | |
| .240 | 3 | 1 | 1 | 1 | 0 | 0 | 1 | |
| Team | 45 | 6 | 10 | 6 | 0 | 3 | 13 |
| Player | |||||||
|---|---|---|---|---|---|---|---|
| 5.2 | 6 | 3 | 3 | 1 | 3 | 92 | |
| 0.1 | 0 | 0 | 0 | 2 | 0 | 13 | |
| 1.0 | 3 | 1 | 1 | 0 | 0 | 32 | |
| 2.0 | 1 | 0 | 0 | 0 | 1 | 27 | |
| 1.0 | 0 | 1 | 0 | 1 | 0 | 18 | |
| 2.0 | 2 | 2 | 0 | 0 | 0 | 22 | |
| Team | 12.0 | 12 | 7 | 4 | 4 | 4 | 204 |
Pitcher arsenals · per-pitch detail
Statcast · via Baseball SavantTOR
MIA
Stat compare
Headline stats · full table below
12
Hits
10
7
Runs
6
1
Errors
0
Team stats
TOR
Away
Stat
MIA
Home
7
Runs
6
12
Hits
10
1
Errors
0
18
TB
12
1
HR
0
4
BB
3
4
K
13
23
LOB
22
Current series
TOR wins series 2-1
Season series
TOR leads series 2-0
How it ended
TOR beat MIA 7-6. G. Springer led the way — 3-for-6 · 1 HR · 1.500 OPS. Marsee's play in the bottom 10th inning drove the biggest swing of the night (29pp).
Last play
End of the 12th inning
Win probability
MIA vs TOR
Clutch moments · top swings
ranked by WP impactSanoja · singled to left, Hill scored.
Marsee · doubled to center, Lopez scored.
Johnston · singled to left, Hill to third.
Linescore (innings)
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | R |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TOR | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 0 | 0 | 1 | 1 | 1 | 7 |
| MIA | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 1 | 1 | 0 | 6 |
Period scoring
TOR won 3 · MIA won 2
Inn 1
Inn 2
Inn 3
Springer 1
Inn 4
Inn 5
Inn 6
Kirk 1
Inn 7
Springer 1
Johnston 1
Inn 8
Inn 9
Sanoja 1
Inn 10
France 1
Marsee 1
Inn 11
Gim 1
Sanoja 1
Inn 12
Bichette 1
Play-by-play · 745 plays
End of the 12th inning
TOR 7·MIA 6
·
TOR 7·MIA 6
Ramírez grounded into fielder's choice to shortstop, Edwards out at second.BIG MOMENT
· ·
TOR 7·MIA 6
−13pp
Pitch 5 : Ball In Play
· ·
TOR 7·MIA 6
Pitch 4 : Ball 3
· ·
TOR 7·MIA 6
Pitch 3 : Ball 2
· ·
TOR 7·MIA 6
Pitch 2 : Strike 1 Swinging
· ·
TOR 7·MIA 6
Pitch 1 : Ball 1
· ·
TOR 7·MIA 6
Brendon Little pitches to Agustin Ramirez
· ·
TOR 7·MIA 6
· ·
TOR 7·MIA 6
Marsee lined out to center.BIG MOMENT
· ·
TOR 7·MIA 6
−13pp
Pitch 2 : Ball In Play
· ·
TOR 7·MIA 6
Pitch 1 : Ball 1
· ·
TOR 7·MIA 6
Brendon Little pitches to Jakob Marsee
· ·
TOR 7·MIA 6
·
TOR 7·MIA 6
Edwards grounded into fielder's choice to shortstop, Lopez out at second.BIG MOMENT
· ·
TOR 7·MIA 6
−20pp
Pitch 3 : Ball In Play
· ·
TOR 7·MIA 6
Pitch 2 : Ball 1
· ·
TOR 7·MIA 6
Pitch 1 : Strike 1 Looking
· ·
TOR 7·MIA 6
Brendon Little pitches to Xavier Edwards
·
TOR 7·MIA 6
Little relieved Nance
·
TOR 7·MIA 6
Bottom of the 12th inning
TOR 7·MIA 6
Middle of the 12th inning
TOR 7·MIA 6
· ·
TOR 7·MIA 6
Varsho grounded out to second.
· ·
TOR 7·MIA 6
+4pp
Pitch 2 : Ball In Play
· ·
TOR 7·MIA 6
Pitch 1 : Ball 1
· ·
TOR 7·MIA 6
Calvin Faucher pitches to Daulton Varsho
· ·
TOR 7·MIA 6
·
TOR 7·MIA 6
Heineman grounded into fielder's choice to first, Bichette out at second.BIG MOMENT
· ·
TOR 7·MIA 6
+6pp
Recap · MLB
oronto Blue Jays went into Miami Marlins and beat them, 7–6. It came down to the final possession.
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
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.
130
projections · 107 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.
41.6%
ensemble · TOR favored
Elo Static
44.9%
P(MIA win)
33%
weight
Elo Pitching
44.9%
P(MIA win)
33%
weight
Bullpen Park
45.2%
P(MIA win)
34%
weight
Disagreement
0.14 pp
weighted σ across sub-models
Confidence
99% · 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.