San Francisco Giants vs Seattle Mariners: Final Score & Box Score — Jul 17, 2026

FINAL+7SF

42-55

SEA

48-50

T-Mobile Park · Seattle, Washington

42,595 attended

Line movement

200 snapshots

SEA spread

-1.5

open -1.5

Total

O/U 7.0

open O/U 7.0

SEA no-vig %

58.4%

open 58.4%

Stepped lines reflect captured market snapshots from odds_snapshots. Spread sign convention: negative = SEA 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.

57.9%

ensemble · SEA favored

Elo Static
57.2%
P(SEA win)
33%
weight
Elo Pitching
59.1%
P(SEA win)
33%
weight
Bullpen Park
57.2%
P(SEA win)
34%
weight

Disagreement

0.89 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.

+6.9pp

best edge · SF · DraftKings

★ best

+163DraftKings

edge +6.9pp · implied 35.7%

SEA

no live price

Book	SF	SEA	Best edge
DraftKings	+163★	-216	+6.9

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

SEA vs SF.

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 · 96 high confidence

Strikeouts

Logan GilbertSEA
6.7± 2.0high
Bryan WooSEA
6.1± 1.9high
Bryce MillerSEA
5.9± 4.4low

Hits

Cole YoungSEA
1.5± 1.1high
Josh NaylorSEA
1.1± 0.9high
Randy ArozarenaSEA
1.1± 1.1high

Total bases

Osleivis BasabeSF
2.5± 4.0low
Cole YoungSEA
2.2± 1.5high
Dominic CanzoneSEA
2.0± 2.9high

RBIs

Osleivis BasabeSF
1.3± 2.6low
Cal RaleighSEA
0.8± 1.0high
Rafael DeversSF
0.8± 1.4high

Earned runs

Carson WhisenhuntSF
3.5± 2.6low
Bryan WooSEA
3.2± 2.4high
Landen RouppSF
2.7± 1.9high

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

Matchup · 2026

Team rate stats vs league

MLB Stats API

league avg

SEA

.725

OPS

◀

.719

.689

.310

OBP

.318

.310

4.20

Runs / G

◀

4.50

4.02

4.39

Team ERA

4.18

▶

3.75

1.36

WHIP

1.30

▶

1.19

7.8

K / 9

8.5

▶

8.7

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

SF 7 · SEA 0 (by 7)

Model verdict

✗ Missed

Picked SEA +7pp

Against the spread

No spread

Line score

Inning by inning

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

Final play

“End of the 9th inning”

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

San Francisco GiantsSeattle Mariners

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
L. Arraez2B	.328	5	0	1	0	0	0	0
B. EldridgeDH	.269	5	1	1	2	1	0	2
C. SchmittLF	.282	5	1	2	0	0	0	1
R. Devers1B	.246	5	0	0	0	0	0	3
H. RamosLF	.278	5	1	2	0	0	0	1
J. LeeRF	.307	4	2	3	0	0	0	0
W. AdamesSS	.229	5	1	1	4	1	0	2
D. GilbertCF	.232	4	0	0	0	0	0	0
D. CavanaughC	.265	2	1	2	0	0	2	0
Team		40	7	12	6	2	2	9

Player

.328

.269

.282

.246

.278

.307

.229

.232

.265

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
L. RouppSP	7.0	2	0	0	3	2	97
J. FoleyRP	1.0	0	0	0	0	1	15
C. KilianRP	1.0	0	0	0	0	1	22
Team	9.0	2	0	0	3	4	134

Player

L. RouppSP

7.0

J. FoleyRP

1.0

C. KilianRP

1.0

Team

9.0

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
J.P. CrawfordSS	.216	3	0	0	0	0	1	1
R. ArozarenaLF	.283	4	0	0	0	0	0	1
D. CanzoneDH	.261	3	0	0	0	0	1	0
C. RaleighC	.167	3	0	0	0	0	1	0
J. Naylor1B	.253	3	0	1	0	0	0	0
C. Young2B	.251	3	0	0	0	0	0	0
L. RaleyRF	.230	3	0	1	0	0	0	0
V. RoblesRF	.210	3	0	0	0	0	0	1
C. EmersonSS	.197	3	0	0	0	0	0	1
Team		28	0	2	0	0	3	4

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. MillerSP	5.2	7	3	2	1	6	91
J. FerrerRP	0.1	0	0	0	1	0	14
N. DavilaRP	1.0	4	4	4	0	0	25
C. WilcoxRP	1.0	0	0	0	0	2	11
M. RuckerRP	1.0	1	0	0	0	1	20
Team	9.0	12	7	6	2	9	161

Team

SEA

3 sub-models, blended.

Where to bet this game.

SEA vs SF.

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

SEA vs SF.

3 sub-models, blended.