Which side does The One Analytics' model favor in SF at SD?

The model favors SD, based on a weighted edge across matchup factors. The pick is logged before the game and graded in public.

When is the pick logged, and can it change?

Every model pick is timestamped before the game starts and is never edited after the fact.

San Francisco Giants vs San Diego Padres: Final Score & Box Score — Aug 2, 2026

FINAL+1SD

47-65

58-54

Petco Park · San Diego, California

43,856 attended

Line movement

200 snapshots

SD spread

-1.5

open -1.5

Total

O/U 8.0

open O/U 8.0

SD no-vig %

57.2%

open 56.4% · +0.8

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

61.5%

ensemble · SD favored

Elo Static
60.3%
P(SD win)
33%
weight
Elo Pitching
60.4%
P(SD win)
33%
weight
Bullpen Park
61.2%
P(SD win)
34%
weight

Disagreement

0.40 pp

weighted σ across sub-models

Confidence

97% · 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.

The receipts

Closing-line value.

+0.96

CLV pp

Open price

-144

Close price

-150

Open no-vig

56.4%

Close no-vig

57.3%

Market came to the model · Graded: hit

How we read this game

Which side does The One Analytics' model favor in SF at SD?: The model favors SD, based on a weighted edge across matchup factors. The pick is logged before the game and graded in public.
When is the pick logged, and can it change?: Every model pick is timestamped before the game starts and is never edited after the fact.

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.

+16.0pp

best edge · SF · DraftKings

★ best

+313DraftKings

edge +16.0pp · implied 22.8%

no live price

Book	SF	SD	Best edge
DraftKings	+313★	-461	+16.0

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

SD 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.

125

projections · 96 high confidence

Strikeouts

Casey MizeSD
5.1± 2.4medium
Landen RouppSF
5.1± 2.0high
Logan WebbSF
5.0± 2.0high

Hits

Jackson MerrillSD
1.4± 1.1high
Ty FranceSD
1.2± 1.1high
Jung Hoo LeeSF
1.2± 0.9high

Total bases

Osleivis BasabeSF
2.5± 3.4low
Jung Hoo LeeSF
2.3± 2.8high
Jackson MerrillSD
2.2± 1.9high

RBIs

Osleivis BasabeSF
1.3± 2.0low
Manny MachadoSD
0.8± 1.4high
Jackson MerrillSD
0.7± 0.9high

Earned runs

Carson WhisenhuntSF
3.5± 2.6low
Walker BuehlerSD
3.0± 2.8high
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

.722

OPS

◀

.719

.694

.309

OBP

.318

.312

4.17

Runs / G

4.50

▶

4.23

4.38

Team ERA

4.18

▶

4.21

1.36

WHIP

1.30

▶

1.33

7.8

K / 9

8.5

▶

8.3

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

SD wins

SF 4 · SD 5 (by 1)

Model verdict

✓ Hit

Picked SD +10pp

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	2	1	0	0	1	0	4
SD	0	4	0	0	1	0	0	0	5

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.

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	.324	5	0	0	0	0	0	0
B. EldridgeDH	.253	4	1	1	0	0	0	1
H. RamosLF	.264	4	0	1	0	0	0	1
R. Devers1B	.250	3	2	1	1	1	1	1
J. LeeRF	.301	3	0	2	0	0	0	0
W. AdamesSS	.224	4	0	1	1	0	0	1
D. CavanaughC	.231	3	0	0	1	0	0	0
D. GilbertCF	.239	2	0	0	0	0	1	1
O. BasabeSS	.333	3	1	1	1	1	0	1
C. Koss2B	.167	1	0	0	0	0	0	1
D. SusacC	.264	1	0	0	0	0	0	1
G. McCrayCF	.143	0	0	0	0	0	0	0
Team		33	4	7	4	2	2	8

Player

.324

.253

.264

.250

.301

.224

.231

.239

.333

.167

.264

.143

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	4.2	6	5	5	4	6	99
S. HentgesRP	1.1	1	0	0	0	2	19
D. SmithRP	1.0	1	0	0	0	1	16
J. BrubakerRP	0.2	0	0	0	1	0	23
E. MillerRP	0.1	0	0	0	0	0	8
Team	8.0	8	5	5	5	9	165

Player

4.2

1.1

1.0

0.2

0.1

Team

8.0

165

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. Rengifo3B	.362	3	0	1	0	0	1	0
J. Cronenworth2B	.214	5	0	1	2	0	0	2
M. Machado3B	.210	4	0	0	0	0	0	2
T. France1B	.297	4	2	2	0	0	0	0
J. MerrillCF	.237	3	1	2	2	1	1	0
L. CampusanoC	.304	4	0	1	1	0	0	2
G. Sheets1B	.215	2	1	1	0	0	1	0
X. BogaertsSS	.220	2	1	0	0	0	2	1
S. Song2B	.204	4	0	0	0	0	0	2
J. BowenRF	.156	1	0	0	0	0	0	0
Team		32	5	8	5	1	5	9

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
K. HartRP	3.0	1	0	0	0	2	43
J. SearsSP	1.0	2	2	2	1	0	28
G. CanningSP	2.0	2	1	1	0	0	38
J. EstradaRP	1.0	0	0	0	1	1	10
B. RodriguezRP	0.2	2	1	1	0	2	23
A. MorejonRP	1.1	0	0	0	0	3	22
Team	9.0	7	4	4	2	8	164

Team

—

3 sub-models, blended.

Closing-line value.

Where to bet this game.

SD vs SF.

Team rate stats vs league

The morning-after recap.

Inning by inning

Tomorrow's slate is open.

Where to bet this game.

Closing-line value.

Batters

Pitchers

Batters

Pitchers

SD vs SF.

3 sub-models, blended.