
SF
23-37

MIL
36-21
Line movement
200 snapshots
MIL spread
-1.5
open PK · -1.5
Total
O/U 7.5
open O/U 7.5
MIL no-vig %
58.4%
open 56.3% · +2.1
Stepped lines reflect captured market snapshots from odds_snapshots. Spread sign convention: negative = MIL favored. Live mode caps the in-game branch to the last 60 minutes.
Postgame · final
Line score, top performers, model verdict against Vegas, and how the closing line shaped up vs the actual outcome.
Final
MIL wins
SF 2 · MIL 16 (by 14)
Model verdict
✓ Hit
Picked MIL +17pp
Against the spread
No spread
Line score
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R |
|---|---|---|---|---|---|---|---|---|---|---|
| SF | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| MIL | 0 | 7 | 0 | 1 | 0 | 2 | 2 | 4 | 16 |
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
Line shopping · 1 book
Same model, different prices. The same moneyline can vary 25¢ across books — taking the worst price wipes out a real edge instantly. Star marks the best-paying book per side.
+12.4pp
best edge · MIL · DraftKings
SF
no live price
MIL
★ bestedge +12.4pp · implied 57.3%
| Book | SF | MIL | Best edge |
|---|---|---|---|
| DraftKings | +124 | -149★ | +12.4 |
Edges shown are model probability minus no-vig implied probability for that side at that book. Stars mark the highest-paying cell per side. Lines refresh every 60 seconds.
Historical comparables
basis · elo_diff + win_prob + day_of_year + total_runs
The receipts
+2.82
CLV pp · steam
Open price
-143
Close price
-162
Open no-vig
56.3%
Close no-vig
59.1%
Market steamed in our direction
Recap · MLB
ilwaukee Brewers held off San Francisco Giants, 16–2. It was a wire-to-wire rout.
MIL -1.5 cashed (won by 14). Total cleared the 7.0 OVER by 11.0.
ByTheOnemodel/auto-generated · live odds + scouting data/refreshes with the page
SF · top performer

Matt Chapman
3B
2-1
AB-H
1
R
2
RBI
MIL · top performer

Brice Turang
2B
2-2
AB-H
2
R
2
RBI
MLB · Box scoreSTATCAST


SF
23-37
| Batting | Analytics | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Player | |||||||||
| 0-4 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 1.6 | |
| 0-2 | 2 | 0 | 0 | 0 | 0 | 2 | 2 | 3.6 | |
| 1-3 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 7.3 | |
SPRINT26.632 | |||||||||
| 0-3 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 4.7 | |
| 1-4 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 19.8 | |
SPRINT27.148 | |||||||||
| 1-2 | 2 | 1 | 1 | 2 | 1 | 1 | 0 | 18.5 | |
SPRINT28.175 | |||||||||
| 1-4 | 4 | 0 | 1 | 0 | 0 | 0 | 3 | 2.2 | |
| 1-3 | 3 | 0 | 1 | 0 | 0 | 1 | 2 | 0.9 | |
| 0-1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0 | |
| 0-1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | |
| 0-1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | |
| 0-3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0.8 | |
| Team | 5-31 | 31 | 2 | 5 | 2 | 1 | 5 | 10 | — |
| Pitching | Analytics | |||||||
|---|---|---|---|---|---|---|---|---|
| Player | ||||||||
| 4.0 | 8 | 8 | 8 | 5 | 4 | 0 | 54.4 | |
| 2.0 | 3 | 2 | 2 | 2 | 1 | 0 | 0.4 | |
| 1.0 | 3 | 2 | 2 | 2 | 1 | 0 | 0.3 | |
| 1.0 | 4 | 4 | 4 | 2 | 0 | 0 | 0.0 | |
| Team | 8.0 | 18 | 16 | 16 | 11 | 6 | 0 | — |
MIL
36-21
| Batting | Analytics | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Player | |||||||||
| 3-5 | 5 | 3 | 3 | 2 | 0 | 1 | 2 | 28.6 | |
SPRINT27.148 | |||||||||
| 2-4 | 4 | 2 | 2 | 3 | 0 | 2 | 1 | 21.9 | |
| 2-2 | 2 | 2 | 2 | 2 | 0 | 2 | 0 | 8.8 | |
SPRINT28.586 | |||||||||
| 1-4 | 4 | 1 | 1 | 2 | 0 | 0 | 0 | 2.2 | |
| 0-2 | 2 | 1 | 0 | 0 | 0 | 4 | 2 | 15.2 | |
| 2-4 | 4 | 0 | 2 | 2 | 0 | 0 | 0 | 3.8 | |
| 2-5 | 5 | 1 | 2 | 1 | 0 | 0 | 0 | 21.4 | |
| 2-3 | 3 | 3 | 2 | 1 | 0 | 2 | 0 | 35.3 | |
SPRINT27.148 | |||||||||
| 3-5 | 5 | 3 | 3 | 0 | 0 | 0 | 0 | 24.7 | |
SPRINT29.294 | |||||||||
| 1-2 | 2 | 0 | 1 | 2 | 0 | 0 | 1 | 0.0 | |
| 0-2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | |
| Team | 18-38 | 38 | 16 | 18 | 15 | 0 | 11 | 6 | — |
| Pitching | Analytics | |||||||
|---|---|---|---|---|---|---|---|---|
| Player | ||||||||
| 4.0 | 4 | 2 | 2 | 2 | 5 | 1 | 13.1 | |
| 1.0 | 0 | 0 | 0 | 0 | 1 | 0 | 1.1 | |
| 2.0 | 1 | 0 | 0 | 3 | 2 | 0 | 7.0 | |
| 1.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | |
| 1.0 | 0 | 0 | 0 | 0 | 2 | 0 | 0.1 | |
| Team | 9.0 | 5 | 2 | 2 | 5 | 10 | 1 | — |
Pitcher arsenals · per-pitch detail
Statcast · via Baseball SavantSF
MIL
Stat compare
Headline stats · full table below
5
Hits
18
2
Runs
16
1
Errors
0
Current series
MIL leads series 1-0
Season series
MIL leads series 1-0
Vegas line center
DraftKings via ESPN · 21+
Spread
MIL -1.5
Total
7.0
Defensive · -1.5 vs avg
Moneyline
14· 6.5h
Implied probabilities back-computed from American odds — break-even win % a moneyline bet needs to be +EV.
Line movement · 200 snapshots
ESPN-tracked · 21+
Spread
1.5
+1.5 since open
Total
7.0
0.0 since open
Headlines · top performers
Biggest swing: 20pp · Top 2nd Inning
M. Chapman
3BBatter of the gamePerfect day
1-for-2 · 1 HR · 2.667 OPS
L. Roupp
SPStarting pitcher
4.0 IP · 4 K · 8 ER · 8 H · 5 BB
B. Turang
2BBatter of the gamePerfect day
2-for-2 · 2 R · 2.000 OPS
S. Drohan
RPStarting pitcher
4.0 IP · 5 K · 2 ER · 4 H · 2 BB
How it ended
MIL beat SF 16-2. Chapman's play in the top 2nd inning drove the biggest swing of the night (20pp).
Win probability
MIL vs SF
Clutch moments · top swings
ranked by WP impactChapman · homered to center (391 feet), Lee scored.
Frelick · doubled to right, Bauers scored.
Chourio · doubled to right, Rengifo scored and Hamilton scored, Yelich to third.
Linescore (innings)
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R |
|---|---|---|---|---|---|---|---|---|---|---|
| SF | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| MIL | 0 | 7 | 0 | 1 | 0 | 2 | 2 | 4 | — | 16 |
Period scoring
SF won 0 · MIL won 5
Inn 1
Inn 2
Chapman 2
Chourio 2
Inn 3
Inn 4
Contreras 1
Inn 5
Inn 6
Vaughn 2
Inn 7
Yelich 1
Inn 8
Ortiz 2
Inn 9
Play-by-play · 662 plays
·
SF 2·MIL 16
Gilbert grounded out to second.
·
SF 2·MIL 16
Pitch 2 : Ball In Play
·
SF 2·MIL 16
Pitch 1 : Strike 1 Looking
·
SF 2·MIL 16
Jake Woodford pitches to Drew Gilbert
·
SF 2·MIL 16
·
SF 2·MIL 16
Haase struck out swinging.
·
SF 2·MIL 16
Pitch 6 : Strike 3 Swinging
·
SF 2·MIL 16
Pitch 5 : Strike 2 Foul
·
SF 2·MIL 16
Pitch 4 : Strike 2 Foul
·
SF 2·MIL 16
Pitch 3 : Ball 2
·
SF 2·MIL 16
Pitch 2 : Strike 1 Looking
·
SF 2·MIL 16
Pitch 1 : Ball 1
·
SF 2·MIL 16
Jake Woodford pitches to Eric Haase
·
SF 2·MIL 16
·
SF 2·MIL 16
Eldridge struck out looking.
·
SF 2·MIL 16
Pitch 4 : Strike 3 Looking
·
SF 2·MIL 16
Pitch 3 : Strike 2 Foul
·
SF 2·MIL 16
Pitch 2 : Ball 1
·
SF 2·MIL 16
Pitch 1 : Strike 1 Looking
·
SF 2·MIL 16
Jake Woodford pitches to Bryce Eldridge
·
SF 2·MIL 16
Woodford relieved Anderson
·
SF 2·MIL 16
Top of the 9th inning
SF 2·MIL 16
End of the 8th inning
SF 2·MIL 16
· ·
SF 2·MIL 16
Perkins grounded out to second.
· ·
SF 2·MIL 16
Pitch 6 : Ball In Play
· ·
SF 2·MIL 16
Pitch 5 : Ball 3
· ·
SF 2·MIL 16
Pitch 4 : Strike 2 Swinging
· ·
SF 2·MIL 16
Pitch 3 : Ball 2
· ·
SF 2·MIL 16
Team stats
SF
Away
Stat
MIL
Home
2
Runs
16
5
Hits
18
1
Errors
0
10
TB
26
1
HR
0
5
BB
11
10
K
6
12
LOB
20
Betting line
MIL -1.5·O/U 7·SF +138/MIL -167
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.
120
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.
69.6%
ensemble · MIL favored
Elo Static
66.8%
P(MIL win)
33%
weight
Elo Pitching
67.6%
P(MIL win)
33%
weight
Bullpen Park
65.7%
P(MIL win)
34%
weight
Disagreement
0.78 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.
STATCAST · Tonight’s standouts
5 of 12 players in cohort