Milwaukee Brewers vs San Francisco Giants: Final Score & Box Score — Jul 27, 2026

FINAL+3SF

MIL

66-40

45-61

Oracle Park · San Francisco, California

35,107 attended

Line movement

200 snapshots

SF spread

+1.5

open PK · +1.5

Total

O/U 8.5

open O/U 8.5

SF no-vig %

43.9%

open 46.0% · -2.1

Stepped lines reflect captured market snapshots from odds_snapshots. Spread sign convention: negative = SF favored. Live mode caps the in-game branch to the last 60 minutes.

Model ensemble · how the prediction is built

3 sub-models, blended.

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.

41.3%

ensemble · MIL favored

Elo Static
45.3%
P(SF win)
33%
weight
Elo Pitching
45.5%
P(SF win)
33%
weight
Bullpen Park
43.5%
P(SF win)
34%
weight

Disagreement

0.90 pp

weighted σ across sub-models

Confidence

94% · 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.

Line shopping · 1 book

Where to bet this game.

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.

+36.4pp

best edge · MIL · DraftKings

MIL

★ best

+338DraftKings

edge +36.4pp · implied 21.5%

no live price

Book	MIL	SF	Best edge
DraftKings	+338★	-509	+36.4

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.

Player projections

SF vs MIL.

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

Jacob MisiorowskiMIL
9.4± 2.7high
Logan HendersonMIL
6.2± 2.8low
Dustin MayMIL
5.3± 2.9high

Hits

Jackson ChourioMIL
1.2± 0.9high
Jung Hoo LeeSF
1.2± 0.9high
Brice TurangMIL
1.1± 0.9high

Total bases

Osleivis BasabeSF
2.5± 3.4low
Jung Hoo LeeSF
2.3± 2.8high
Jake BauersMIL
2.0± 1.7high

RBIs

Osleivis BasabeSF
1.3± 2.0low
Luis LaraMIL
0.8± 1.5medium
Brice TurangMIL
0.7± 0.9high

Earned runs

Carson WhisenhuntSF
3.5± 2.6low
Landen RouppSF
2.7± 1.9high
Robert GasserMIL
2.5± 3.1low

Projections recompute every 30 minutes · prop lines plug in once sportsbook ingest lands

Matchup · 2026

Team rate stats vs league

MLB Stats API

MIL

league avg

.735

OPS

◀

.720

.723

.337

OBP

◀

.318

.309

4.97

Runs / G

◀

4.50

4.20

3.47

Team ERA

◀

4.18

4.37

1.16

WHIP

◀

1.30

1.36

9.8

K / 9

◀

8.5

7.8

Postgame · final

The morning-after recap.

Line score, top performers, model verdict against Vegas, and how the closing line shaped up vs the actual outcome.

Final

SF wins

MIL 0 · SF 3 (by 3)

Model verdict

✗ Missed

Picked MIL +5pp

Against the spread

No spread

Line score

Inning by inning

Team	1	2	3	4	5	6	7	8	9	R
MIL	0	0	0	0	0	0	0	0	0	0
SF	0	0	1	2	0	0	0	0	3

What's next

Tomorrow's slate is open.

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.

MLB edges →Full slate →

Tomorrow's board↗Tomorrow's board↗

21+ · we may earn a referral fee · your odds unchanged.

Team pages

Milwaukee BrewersSan Francisco Giants

Elsewhere in the MLB

Data via ESPN · MLB Stats API · Baseball Savant

batting box score. Tap a column header to sort by that stat; tap again to reverse, a third time to clear. The team leader in each stat is highlighted. Players who did not play are listed at the bottom.
Player
C. YelichDH	.239	4	0	0	0	0	0	2
J. ChourioLF	.277	4	0	1	0	0	0	1
B. Turang2B	.265	3	0	0	0	0	0	2
W. ContrerasC	.271	3	0	0	0	0	0	1
J. Bauers1B	.265	2	0	1	0	0	0	0
A. Vaughn1B	.310	2	0	1	0	0	1	0
G. MitchellCF	.269	3	0	0	0	0	0	1
C. PrattSS	.284	2	0	0	0	0	1	0
J. OrtizSS	.237	3	0	0	0	0	0	0
L. LaraRF	.294	1	0	0	0	0	0	0
Team		27	0	3	0	0	2	7

Player

.239

.277

.265

.271

.265

.310

.269

.284

.237

.294

Team

pitching box score. Tap a column header to sort by that stat; tap again to reverse, a third time to clear. The team leader in each stat is highlighted. Players who did not play are listed at the bottom.
Player
B. SproatSP	6.0	6	3	3	3	5	97
G. StallingsRP	2.0	0	0	0	1	1	37
Team	8.0	6	3	3	4	6	134

Player

B. SproatSP

6.0

G. StallingsRP

2.0

Team

8.0

134

batting box score. Tap a column header to sort by that stat; tap again to reverse, a third time to clear. The team leader in each stat is highlighted. Players who did not play are listed at the bottom.
Player
L. Arraez2B	.326	4	0	1	1	0	0	1
H. RamosLF	.258	4	0	0	0	0	0	1
B. EldridgeDH	.256	3	0	0	0	0	1	1
R. Devers1B	.246	3	0	0	0	0	1	0
C. SchmittLF	.271	1	0	1	0	0	0	0
D. GilbertCF	.234	3	0	1	0	0	0	0
W. AdamesSS	.226	2	1	1	0	0	1	0
G. McCrayCF	.125	3	1	1	2	1	0	0
J. RodríguezC	.240	3	1	1	0	0	0	2
C. Koss2B	.130	2	0	0	0	0	1	1
D. SusacC	.248	0	0	0	0	0	0	0
Team		28	3	6	3	1	4	6

pitching box score. Tap a column header to sort by that stat; tap again to reverse, a third time to clear. The team leader in each stat is highlighted. Players who did not play are listed at the bottom.
Player
T. MahleSP	6.0	3	0	0	2	3	88
S. HentgesRP	1.0	0	0	0	0	1	13
D. SmithRP	1.0	0	0	0	0	1	15
E. MillerRP	1.0	0	0	0	0	2	14
Team	9.0	3	0	0	2	7	130

Team

MIL

—

3 sub-models, blended.

Where to bet this game.

SF vs MIL.

Team rate stats vs league

The morning-after recap.

Inning by inning

Tomorrow's slate is open.

Where to bet this game.

Batters

Pitchers

Batters

Pitchers

SF vs MIL.

3 sub-models, blended.