
DET
85-65

MIA
70-80
Matchup · 2026
MLB Stats API
DET
league avg
MIA
.706
OPS
.715
.707
.315
OBP
.319
▶.324
4.10
Runs / G
4.50
▶4.34
3.97
Team ERA
4.16
4.11
1.28
WHIP
1.31
▶1.25
8.2
K / 9
8.5
▶8.8
Postgame · final
Line score, top performers, model verdict against Vegas, and how the closing line shaped up vs the actual outcome.
Final
DET wins
DET 2 · MIA 0 (by 2)
Model verdict
✓ Hit
Picked DET +1pp
Against the spread
No spread
Line score
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R |
|---|---|---|---|---|---|---|---|---|---|---|
| DET | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| MIA | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
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
etroit Tigers went into Miami Marlins and beat them, 2–0.
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
DET · top performer

Spencer Torkelson
1B
2-1
AB-H
1
R
0
RBI
MIA · top performer

Heriberto Hernandez
LF
1-1
AB-H
0
R
0
RBI
MLB · Box scoreSTATCAST
| Player | AVG | AB | R | H | RBI | HR | BB | K |
|---|---|---|---|---|---|---|---|---|
| .227 | 4 | 0 | 1 | 0 | 0 | 0 | 0 | |
| .255 | 3 | 0 | 0 | 0 | 0 | 1 | 2 | |
| .256 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | |
| .265 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | |
| .237 | 2 | 1 | 1 | 0 | 0 | 2 | 0 | |
| .263 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | |
| .252 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | |
| .281 | 4 | 0 | 1 | 1 | 0 | 0 | 1 | |
| .261 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | |
| .270 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| .199 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| .244 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Team | 31 | 2 | 4 | 1 | 0 | 4 | 7 |
| Player | IP | H | R | ER | BB | K | PC |
|---|---|---|---|---|---|---|---|
| 5.0 | 3 | 0 | 0 | 0 | 5 | 76 | |
| 1.1 | 2 | 0 | 0 | 1 | 2 | 25 | |
| 1.2 | 1 | 0 | 0 | 0 | 0 | 19 | |
| 1.0 | 1 | 0 | 0 | 1 | 1 | 19 | |
| Team | 9.0 | 7 | 0 | 0 | 2 | 8 | 139 |
| Player | AVG | AB | R | H | RBI | HR | BB | K |
|---|---|---|---|---|---|---|---|---|
| .250 | 4 | 0 | 1 | 0 | 0 | 0 | 1 | |
| .323 | 4 | 0 | 1 | 0 | 0 | 0 | 1 | |
| .230 | 4 | 0 | 1 | 0 | 0 | 0 | 1 | |
| .245 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | |
| .248 | 4 | 0 | 2 | 0 | 0 | 0 | 0 | |
| .267 | 3 | 0 | 1 | 0 | 0 | 1 | 2 | |
| .204 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | |
| .188 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | |
| .233 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | |
| .262 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | |
| .250 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| .250 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Team | 34 | 0 | 7 | 0 | 0 | 2 | 8 |
| Player | IP | H | R | ER | BB | K | PC |
|---|---|---|---|---|---|---|---|
| 6.0 | 1 | 2 | 0 | 2 | 4 | 83 | |
| 1.0 | 0 | 0 | 0 | 2 | 0 | 14 | |
| 0.2 | 1 | 0 | 0 | 0 | 1 | 12 | |
| 1.1 | 2 | 0 | 0 | 0 | 2 | 25 | |
| Team | 9.0 | 4 | 2 | 0 | 4 | 7 | 134 |
Pitcher arsenals · per-pitch detail
Statcast · via Baseball SavantDET
MIA
Stat compare
Headline stats · full table below
4
Hits
7
2
Runs
0
0
Errors
3
Current series
MIA wins series 2-1
Season series
MIA wins series 2-1
Headlines · top performers
Biggest swing: 10pp · Top 2nd Inning
S. Torkelson
1BBatter of the game
1-for-2 · 1 R · 1.250 OPS
K. Montero
SPStarting pitcher
5.0 IP · 5 K · 0 ER · 3 H
H. Hernandez
LFBatter of the gamePerfect day
1-for-1 · 2.000 OPS
A. Mazur
SPStarting pitcherQuality start
6.0 IP · 4 K · 0 ER · 1 H · 2 BB
How it ended
DET beat MIA 2-0.
Last play
End of the 9th inning
Win probability
MIA vs DET
Clutch moments · top swings
ranked by WP impactKeith · reached on error by first baseman Wagaman, Torkelson to third. Torkleson scored on a throwing error by Acosta, Keith to second. Keith advanced to third on error by Johnston.
Mesa Jr. · lined out to right, Wagaman to third.
Wiemer · flied out to left.
Linescore (innings)
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R |
|---|---|---|---|---|---|---|---|---|---|---|
| DET | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| MIA | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Period scoring
DET won 1 · MIA won 0
Inn 1
Inn 2
Keith 1
Inn 3
Inn 4
Inn 5
Inn 6
Inn 7
Inn 8
Inn 9
Play-by-play · 537 plays
End of the 9th inning
DET 2·MIA 0
· ·
DET 2·MIA 0
Sanoja struck out looking.BIG MOMENT
· ·
DET 2·MIA 0
−7pp
Pitch 6 : Strike 3 Looking
· ·
DET 2·MIA 0
Pitch 5 : Strike 2 Looking
· ·
DET 2·MIA 0
Pitch 4 : Ball 3
· ·
DET 2·MIA 0
Pitch 3 : Ball 2
· ·
DET 2·MIA 0
Pitch 2 : Strike 1 Looking
· ·
DET 2·MIA 0
Pitch 1 : Ball 1
· ·
DET 2·MIA 0
Will Vest pitches to Javier Sanoja
· ·
DET 2·MIA 0
· ·
DET 2·MIA 0
Wiemer flied out to left.BIG MOMENT
· ·
DET 2·MIA 0
−10pp
Pitch 2 : Ball In Play
· ·
DET 2·MIA 0
Pitch 1 : Strike 1 Looking
· ·
DET 2·MIA 0
Will Vest pitches to Joey Wiemer
· ·
DET 2·MIA 0
Wiemer hit for Winkler
·
DET 2·MIA 0
· ·
DET 2·MIA 0
Hernández singled to right, Johnston to second.BIG MOMENT
· ·
DET 2·MIA 0
+8pp
Pitch 5 : Ball In Play
· ·
DET 2·MIA 0
Pitch 4 : Strike 2 Swinging
· ·
DET 2·MIA 0
Pitch 3 : Ball 2
· ·
DET 2·MIA 0
Pitch 2 : Strike 1 Looking
· ·
DET 2·MIA 0
Pitch 1 : Ball 1
· ·
DET 2·MIA 0
Will Vest pitches to Heriberto Hernandez
· ·
DET 2·MIA 0
·
DET 2·MIA 0
Johnston walked.BIG MOMENT
·
DET 2·MIA 0
+5pp
Pitch 5 : Ball 4
·
DET 2·MIA 0
Pitch 4 : Strike 1 Looking
·
DET 2·MIA 0
Pitch 3 : Ball 3
·
DET 2·MIA 0
Pitch 2 : Ball 2
·
DET 2·MIA 0
Team stats
DET
Away
Stat
MIA
Home
2
Runs
0
4
Hits
7
0
Errors
3
5
TB
7
0
HR
0
4
BB
2
7
K
8
11
LOB
15
STATCAST · Tonight’s standouts
4 of 13 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.
128
projections · 98 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.
44.2%
ensemble · DET favored
Elo Static
49.0%
P(MIA win)
33%
weight
Elo Pitching
48.5%
P(MIA win)
32%
weight
Bullpen Park
48.3%
P(MIA win)
34%
weight
Disagreement
0.30 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.