
SF
62-68

MIL
81-49
Matchup · 2026
MLB Stats API
SF
league avg
MIL
.723
OPS
.720
▶.735
.309
OBP
.318
▶.337
4.20
Runs / G
4.50
▶4.97
4.37
Team ERA
4.18
▶3.47
1.36
WHIP
1.30
▶1.16
7.8
K / 9
8.5
▶9.8
Postgame · final
Line score, top performers, model verdict against Vegas, and how the closing line shaped up vs the actual outcome.
Final
SF wins
SF 7 · MIL 1 (by 6)
Model verdict
✗ Missed
Picked MIL +24pp
Against the spread
No spread
Line score
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R |
|---|---|---|---|---|---|---|---|---|---|---|
| SF | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 0 | 0 | 7 |
| MIL | 0 | 1 | 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.
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Data via ESPN · MLB Stats API · Baseball Savant
SF · top performer

Casey Schmitt
LF
4-2
AB-H
2
R
4
RBI
MIL · top performer

Christian Yelich
DH
4-2
AB-H
0
R
0
RBI
Biggest swing: 23pp · Top 6th Inning
MLB · Box scoreSTATCAST
| Player | ||||||||
|---|---|---|---|---|---|---|---|---|
| .259 | 5 | 0 | 1 | 0 | 0 | 0 | 0 | |
| .227 | 4 | 1 | 1 | 0 | 0 | 1 | 2 | |
| .222 | 4 | 1 | 0 | 0 | 0 | 1 | 1 | |
| .285 | 5 | 2 | 2 | 0 | 0 | 0 | 1 | |
| .249 | 4 | 2 | 2 | 4 | 1 | 1 | 0 | |
| .227 | 3 | 1 | 0 | 0 | 0 | 2 | 2 | |
| .200 | 4 | 0 | 2 | 1 | 0 | 1 | 0 | |
| .211 | 5 | 0 | 2 | 1 | 0 | 0 | 3 | |
| .107 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | |
| Team | 38 | 7 | 10 | 6 | 1 | 6 | 10 |
| Player | |||||||
|---|---|---|---|---|---|---|---|
| 6.0 | 5 | 1 | 1 | 2 | 5 | 94 | |
| 1.0 | 1 | 0 | 0 | 0 | 0 | 12 | |
| 2.0 | 1 | 0 | 0 | 0 | 2 | 31 | |
| Team | 9.0 | 7 | 1 | 1 | 2 | 7 | 137 |
| Player | ||||||||
|---|---|---|---|---|---|---|---|---|
| .299 | 4 | 0 | 1 | 0 | 0 | 0 | 0 | |
| .274 | 4 | 0 | 1 | 0 | 0 | 0 | 1 | |
| .256 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | |
| .265 | 4 | 0 | 2 | 0 | 0 | 0 | 1 | |
| .194 | 2 | 1 | 0 | 0 | 0 | 1 | 2 | |
| .246 | 3 | 0 | 1 | 1 | 0 | 0 | 1 | |
| .212 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | |
| .222 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | |
| .257 | 4 | 0 | 1 | 0 | 0 | 0 | 0 | |
| Team | 32 | 1 | 7 | 1 | 0 | 2 | 7 |
| Player | |||||||
|---|---|---|---|---|---|---|---|
| 5.0 | 2 | 0 | 0 | 4 | 6 | 96 | |
| 1.0 | 3 | 3 | 0 | 0 | 1 | 26 | |
| 3.0 | 5 | 4 | 4 | 2 | 3 | 64 | |
| Team | 9.0 | 10 | 7 | 4 | 6 | 10 | 186 |
Pitcher arsenals · per-pitch detail
Statcast · via Baseball SavantSF
MIL
Stat compare
Headline stats · full table below
10
Hits
7
7
Runs
1
0
Errors
2
Team stats
SF
Away
Stat
MIL
Home
7
Runs
1
10
Hits
7
0
Errors
2
15
TB
9
1
HR
0
6
BB
2
10
K
7
21
LOB
17
Current series
SF wins series 2-1
Season series
SF leads series 4-2
How it ended
SF beat MIL 7-1. C. Schmitt led the way — 2-for-4 · 1 HR · 1.850 OPS. Schmitt's play in the top 6th inning drove the biggest swing of the night (23pp).
Last play
End of the 9th inning
Win probability
MIL vs SF
Clutch moments · top swings
ranked by WP impactDurbin · doubled to right, Bauers scored.
Schmitt · doubled to left, Adames scored, Smith to third.
Schmitt · homered to left center (382 feet), Devers scored and Smith scored.
Linescore (innings)
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R |
|---|---|---|---|---|---|---|---|---|---|---|
| SF | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 0 | 0 | 7 |
| MIL | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Period scoring
SF won 2 · MIL won 1
Inn 1
Inn 2
Durbin 1
Inn 3
Inn 4
Inn 5
Inn 6
Matos 2
Inn 7
Schmitt 3
Inn 8
Inn 9
Play-by-play · 607 plays
End of the 9th inning
SF 7·MIL 1
·
SF 7·MIL 1
Monasterio grounded out to shortstop.
·
SF 7·MIL 1
Pitch 7 : Ball In Play
·
SF 7·MIL 1
Pitch 6 : Ball 3
·
SF 7·MIL 1
Pitch 5 : Strike 2 Foul
·
SF 7·MIL 1
Pitch 4 : Strike 2 Looking
·
SF 7·MIL 1
Pitch 3 : Ball 2
·
SF 7·MIL 1
Pitch 2 : Ball 1
·
SF 7·MIL 1
Pitch 1 : Strike 1 Looking
·
SF 7·MIL 1
Spencer Bivens pitches to Andruw Monasterio
·
SF 7·MIL 1
·
SF 7·MIL 1
Perkins struck out swinging.
·
SF 7·MIL 1
Pitch 5 : Strike 3 Swinging
·
SF 7·MIL 1
Pitch 4 : Strike 2 Swinging
·
SF 7·MIL 1
Pitch 3 : Ball 2
·
SF 7·MIL 1
Pitch 2 : Ball 1
·
SF 7·MIL 1
Pitch 1 : Strike 1 Looking
·
SF 7·MIL 1
Spencer Bivens pitches to Blake Perkins
·
SF 7·MIL 1
·
SF 7·MIL 1
Seigler grounded out to pitcher.
·
SF 7·MIL 1
Pitch 3 : Ball In Play
·
SF 7·MIL 1
Pitch 2 : Ball 1
·
SF 7·MIL 1
Pitch 1 : Strike 1 Looking
·
SF 7·MIL 1
Spencer Bivens pitches to Anthony Seigler
·
SF 7·MIL 1
Bottom of the 9th inning
SF 7·MIL 1
Middle of the 9th inning
SF 7·MIL 1
· ·
SF 7·MIL 1
Bailey struck out swinging.
· ·
SF 7·MIL 1
Pitch 5 : Strike 3 Swinging
· ·
SF 7·MIL 1
Recap · MLB
an Francisco Giants went into Milwaukee Brewers and beat them, 7–1. It was a wire-to-wire rout.
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
Team pages
Elsewhere in the MLB
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.
127
projections · 96 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.
73.2%
ensemble · MIL favored
Elo Static
73.5%
P(MIL win)
33%
weight
Elo Pitching
74.1%
P(MIL win)
33%
weight
Bullpen Park
75.3%
P(MIL win)
34%
weight
Disagreement
0.75 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.