
MIL
88-55

PIT
64-79
Postgame · final
Line score, top performers, model verdict against Vegas, and how the closing line shaped up vs the actual outcome.
Final
MIL wins
MIL 4 · PIT 1 (by 3)
Model verdict
✓ Hit
Picked MIL +9pp
Against the spread
No spread
Line score
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R |
|---|---|---|---|---|---|---|---|---|---|---|
| MIL | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 4 |
| PIT | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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
ilwaukee Brewers went into Pittsburgh Pirates and beat them, 4–1.
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
MIL · top performer

Jake Bauers
1B
3-2
AB-H
1
R
2
RBI
PIT · top performer

Bryan Reynolds
LF
3-2
AB-H
1
R
0
RBI
MLB · Box scoreSTATCAST


MIL
88-55
| Batting | ||||||||
|---|---|---|---|---|---|---|---|---|
| Player | H-AB | AB | R | H | RBI | HR | BB | K |
| 2-4 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | |
SPRINT28.790 | ||||||||
| 1-4 | 4 | 1 | 1 | 2 | 1 | 0 | 0 | |
| 1-4 | 4 | 0 | 1 | 0 | 0 | 0 | 2 | |
SPRINT28.586 | ||||||||
| 1-3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | |
SPRINT24.96 | ||||||||
| 2-3 | 3 | 1 | 2 | 2 | 1 | 0 | 1 | |
SPRINT2744 | ||||||||
| 1-3 | 3 | 0 | 1 | 0 | 0 | 0 | 2 | |
| 0-4 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | |
| 0-3 | 3 | 0 | 0 | 0 | 0 | 1 | 1 | |
| 0-4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 0-1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | |
| Team | 8-33 | 33 | 4 | 8 | 4 | 2 | 1 | 8 |
| Pitching | |||||||
|---|---|---|---|---|---|---|---|
| Player | IP | H | R | ER | BB | K | HR |
| 6.0 | 2 | 0 | 0 | 0 | 8 | 0 | |
| 0.2 | 1 | 0 | 0 | 0 | 0 | 0 | |
| 0.1 | 0 | 0 | 0 | 1 | 0 | 0 | |
| 0.1 | 1 | 0 | 0 | 1 | 0 | 0 | |
| 1.2 | 1 | 1 | 1 | 1 | 2 | 0 | |
| Team | 9.0 | 5 | 1 | 1 | 3 | 10 | 0 |
PIT
64-79
| Batting | ||||||||
|---|---|---|---|---|---|---|---|---|
| Player | H-AB | AB | R | H | RBI | HR | BB | K |
| 2-4 | 4 | 0 | 2 | 0 | 0 | 0 | 1 | |
SPRINT28.483 | ||||||||
| 0-3 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | |
SPRINT24.85 | ||||||||
| 2-3 | 3 | 1 | 2 | 0 | 0 | 1 | 0 | |
SPRINT27.969 | ||||||||
| 0-4 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | |
| 1-4 | 4 | 0 | 1 | 0 | 0 | 0 | 1 | |
SPRINT28.586 | ||||||||
| 0-3 | 3 | 0 | 0 | 1 | 0 | 1 | 1 | |
SPRINT28.483 | ||||||||
| 0-4 | 4 | 0 | 0 | 0 | 0 | 0 | 3 | |
| 0-2 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | |
| 0-3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 0-1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Team | 5-31 | 31 | 1 | 5 | 1 | 0 | 3 | 10 |
| Pitching | |||||||
|---|---|---|---|---|---|---|---|
| Player | IP | H | R | ER | BB | K | HR |
| 6.1 | 5 | 2 | 2 | 0 | 4 | 1 | |
| 1.0 | 0 | 0 | 0 | 0 | 2 | 0 | |
| 1.2 | 3 | 2 | 2 | 1 | 2 | 1 | |
| Team | 9.0 | 8 | 4 | 4 | 1 | 8 | 2 |
Pitcher arsenals · per-pitch detail
Statcast · via Baseball SavantMIL
PIT
Stat compare
Headline stats · full table below
8
Hits
5
4
Runs
1
0
Errors
0
Current series
MIL wins series 5-2
Season series
MIL leads series 9-3
Headlines · top performers
Biggest swing: 23pp · Top 4th Inning
J. Bauers
1BBatter of the gamePerfect day
2-for-3 · 1 HR · 2.333 OPS
B. Woodruff
SPStarting pitcherQuality start
6.0 IP · 8 K · 0 ER · 2 H
B. Reynolds
LFBatter of the game
2-for-3 · 1 R · 1.417 OPS
M. Keller
SPStarting pitcher
6.1 IP · 4 K · 2 ER · 5 H
How it ended
MIL beat PIT 4-1. Bauers's play in the top 4th inning drove the biggest swing of the night (23pp).
Last play
End of the 9th inning
Win probability
PIT vs MIL
Clutch moments · top swings
ranked by WP impactBauers · homered to right center (382 feet), Contreras scored.
Reynolds · doubled to center.
Chourio · homered to left (365 feet), Frelick scored.
Linescore (innings)
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R |
|---|---|---|---|---|---|---|---|---|---|---|
| MIL | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 4 |
| PIT | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Period scoring
MIL won 2 · PIT won 1
Inn 1
Inn 2
Inn 3
Inn 4
Bauers 2
Inn 5
Inn 6
Inn 7
Inn 8
Chourio 2
Inn 9
Cruz 1
Play-by-play · 541 plays
End of the 9th inning
MIL 4·PIT 1
· ·
MIL 4·PIT 1
Yorke struck out swinging.
· ·
MIL 4·PIT 1
−1pp
Pitch 4 : Strike 3 Swinging
· ·
MIL 4·PIT 1
Pitch 3 : Strike 2 Foul
· ·
MIL 4·PIT 1
Pitch 2 : Strike 1 Foul
· ·
MIL 4·PIT 1
Pitch 1 : Ball 1
· ·
MIL 4·PIT 1
Aaron Ashby pitches to Nick Yorke
· ·
MIL 4·PIT 1
· ·
MIL 4·PIT 1
Cruz grounded out to second, Reynolds scored, N. Gonzales to third.
· ·
MIL 4·PIT 1
−3pp
Pitch 1 : Ball In Play
· ·
MIL 4·PIT 1
Aaron Ashby pitches to Oneil Cruz
· ·
MIL 4·PIT 1
· ·
MIL 4·PIT 0
N. Gonzales hit a ground rule double, Reynolds to third.
· ·
MIL 4·PIT 0
+3pp
Pitch 2 : Ball In Play
· ·
MIL 4·PIT 0
Pitch 1 : Strike 1 Foul
· ·
MIL 4·PIT 0
Aaron Ashby pitches to Nick Gonzales
· ·
MIL 4·PIT 0
· ·
MIL 4·PIT 0
Pham struck out looking.
· ·
MIL 4·PIT 0
−2pp
Pitch 5 : Strike 3 Looking
· ·
MIL 4·PIT 0
Pitch 4 : Strike 2 Swinging
· ·
MIL 4·PIT 0
Pitch 3 : Ball 2
· ·
MIL 4·PIT 0
Pitch 2 : Ball 1
· ·
MIL 4·PIT 0
Pitch 1 : Strike 1 Looking
· ·
MIL 4·PIT 0
Aaron Ashby pitches to Tommy Pham
· ·
MIL 4·PIT 0
·
MIL 4·PIT 0
Reynolds walked.
·
MIL 4·PIT 0
+2pp
Pitch 4 : Ball 4
·
MIL 4·PIT 0
Pitch 3 : Ball 3
·
MIL 4·PIT 0
Pitch 2 : Ball 2
·
MIL 4·PIT 0
Team stats
MIL
Away
Stat
PIT
Home
4
Runs
1
8
Hits
5
0
Errors
0
16
TB
7
2
HR
0
1
BB
3
8
K
10
12
LOB
12
STATCAST · Tonight’s standouts
5 of 12 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.
126
projections · 86 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.
39.3%
ensemble · MIL favored
Elo Static
40.7%
P(PIT win)
33%
weight
Elo Pitching
39.5%
P(PIT win)
33%
weight
Bullpen Park
41.2%
P(PIT win)
34%
weight
Disagreement
0.71 pp
weighted σ across sub-models
Confidence
95% · 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.