San Francisco Giants vs New York Mets: MLB Prediction, Pick & Odds — Sep 5, 2026

58-83

PregameSat, 4:10 PM EDTESPN Unlmtd, MLB.TV

NYM

63-77

Verdict

Pass · no edge tonight.

The model doesn't see daylight against the posted line on this game. We don't surface negative-EV picks; check the drill-down for sub-model context.

Why this matchup

2 signals · model + market

Park factor

96 total idx

Citi Field run environment

Park factor boosts run scoring, so contact quality matters more tonight here.

Recent form

5-5

SF +0.2 vs NYM -1.1 margin

SF brings the hotter last-ten margin into this matchup tonight with balance.

Citi Field · Queens, New York

Drill down

Sub-model tables · ensemble breakdown · last meeting · book shop · player props

Pregame · scouting report

The matchup, end-to-end.

Probable starters, projected lineups, head-to-head this season, our model edge against the market — every angle on one surface.

Away starter

Anthony Molina

RP · #45

2-0

W-L

3.77

ERA

1.05

WHIP

14.1

Last 3 starts

@ATLW(2-0)5.0 IP3 ER6 K

vsCINW(1-0)4.1 IP0 ER1 K

vsSF-2.0 IP2 ER0 K

Home starter

Zac Thornton

SP · #49

3-4

W-L

2.93

ERA

1.16

WHIP

61.1

Last 3 starts

vsHOU-5.0 IP2 ER5 K

vsMIL-6.0 IP1 ER4 K

vsSDL(3-4)5.0 IP3 ER7 K

Vegas line

Lines post once a sportsbook releases them.

Model edge

Win prob39% / 61%

LeanHome · 11pp

ConfidenceEdge

Head to head

SeriesNYM lead series 3-1

TypeRegular Season Series

Scouting report · pre-game

NYM vs SF.

NYM is 4-6 recently; SF is 5-5.

60.6%

model · NYM win prob

Recent form

NYM4–6-1.1
SF5–5+0.2

Situational

NYM3d rest
SF2d rest
+1.0d differential

NYM has 1 more rest day. NYM has 3 straight road games; SF has 4.

Model angle

Weather and park remove about 0.3 runs from the total environment.

▼Weather + park-0.3pp

Players to watch

Nolan McLeanNYM
6.1strikeouts · ±2.2
Nolan McLean · 6.1 K · last-10 5.9 vs season 6.4.
Christian ScottNYM
5.9strikeouts · ±1.6
Christian Scott · 5.9 K · last-10 6 vs season 5.7.
Sean ManaeaNYM
4.9strikeouts · ±2.7
Sean Manaea · 4.9 K · last-10 5.4 vs season 4.2.

Aggregated from r107 anatomy · r109 CLV history · r112 calibration · r118 line moves · r124 player projections · refreshes every 5 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.

60.7%

ensemble · NYM favored

Elo Static
59.7%
P(NYM win)
34%
weight
Elo Pitching
60.7%
P(NYM win)
33%
weight
Bullpen Park
59.5%
P(NYM win)
34%
weight

Disagreement

0.52 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.

Player projections

NYM 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.

129

projections · 86 high confidence

Strikeouts

Nolan McLeanNYM
6.1± 2.2high
Christian ScottNYM
5.9± 1.6high
Sean ManaeaNYM
4.9± 2.7high

Hits

Bryce EldridgeSF
1.3± 1.1high
Rafael DeversSF
1.3± 0.5high
Carson BengeNYM
1.1± 0.9high

Total bases

Rafael DeversSF
2.9± 1.4high
Francisco LindorNYM
1.9± 1.9high
Bryce EldridgeSF
1.9± 1.7high

RBIs

Rafael DeversSF
1.0± 1.2high
Bryce EldridgeSF
0.9± 1.2high
Turner HillSF
0.8± 1.0medium

Earned runs

Logan WebbSF
3.0± 2.7high
Robert StockNYM
2.8± 4.9low
Sean ManaeaNYM
2.8± 1.7high

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

NYM

.713

OPS

◀

.719

.695

.308

OBP

.319

.306

4.16

Runs / G

4.50

4.12

4.38

Team ERA

4.17

▶

4.09

1.36

WHIP

1.31

▶

1.30

7.7

K / 9

8.5

▶

9.0

The One modelEdge

Sat, Sep 5

Giants

77-94

vs60.6%NYM

NYM★

Mets

73-89

SF 39.4%win prob60.6% NYM

NYM 1495 · SF 1450Box score→

Data via ESPN · MLB Stats API · Baseball Savant

San Francisco Giants at New York Mets

The matchup, end-to-end.

NYM vs SF.

3 sub-models, blended.

NYM vs SF.

Team rate stats vs league