Toronto Blue Jays vs San Diego Padres: MLB Prediction, Pick & Odds — Jul 12, 2026

TOR

37-39

PregameSun, 4:10 PM EDT

38-36

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

1 signal · model + market

Park factor

96 total idx

Petco Park run environment

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

Petco Park · San Diego, California

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

TBD

Probable starter not yet announced. ESPN typically posts the card 12–24 hours before first pitch.

Home starter

TBD

Probable starter not yet announced. ESPN typically posts the card 12–24 hours before first pitch.

Vegas line

Lines post once a sportsbook releases them.

Model edge

Our model rates this game once both starters are confirmed.

Head to head

SeriesSeries starts 7/10

TypeRegular Season Series

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.

48.8%

ensemble · TOR favored

Elo Static
fallback · inputs missing
50.0%
P(SD win)
33%
weight
Elo Pitching
fallback · inputs missing
50.0%
P(SD win)
32%
weight
Bullpen Park
fallback · inputs missing
50.0%
P(SD win)
34%
weight

Disagreement

0.00 pp

weighted σ across sub-models

Confidence

100% · high

maps from disagreement

Substrate count

0 / 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

SD vs TOR.

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.

124

projections · 76 high confidence

Strikeouts

Dylan CeaseTOR
8.4± 3.0low
Kevin GausmanTOR
5.3± 2.4medium
Trey YesavageTOR
5.3± 2.1low

Hits

Fernando Tatis Jr.SD
1.3± 1.4high
Samad TaylorSD
1.2± 1.1low
Nathan LukesTOR
1.1± 0.7high

Total bases

Brandon ValenzuelaTOR
1.9± 1.9high
Jackson MerrillSD
1.8± 2.1high
George SpringerTOR
1.8± 2.1high

RBIs

Samad TaylorSD
0.8± 1.7low
Brandon ValenzuelaTOR
0.7± 0.7high
Fernando Tatis Jr.SD
0.6± 0.9high

Earned runs

Griffin CanningSD
3.4± 3.2low
Kevin GausmanTOR
2.8± 2.7medium
Simeon Woods RichardsonTOR
2.8± 3.3low

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

Matchup · 2026

Team rate stats vs league

MLB Stats API

TOR

league avg

.703

OPS

◀

.719

.656

.312

OBP

◀

.319

.292

4.05

Runs / G

◀

4.50

3.88

4.11

Team ERA

4.19

▶

3.92

1.30

WHIP

1.31

1.30

9.0

K / 9

◀

8.5

8.3

Data via ESPN · MLB Stats API · Baseball Savant

Toronto Blue Jays at San Diego Padres

The matchup, end-to-end.

3 sub-models, blended.

SD vs TOR.

Team rate stats vs league