MLB matchup analysis

Padres vs Giants Prediction, Odds and Model Pick

Friday, September 11, 2026 at Oracle Park · 10:15 PM ET

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LyDia prediction: San Francisco Giants moneyline

Lab Rating
7.0/10
Model lean
Giants 67.1%
Market probability
41.1%
Model edge
+25.9%
Best moneyline
+136
Sportsbooks checked
3
LyDia model
67.1%
Market
41.1%

The case for San Francisco Giants

Starting pitcher edge: 11 points
LyDia gives Anthony Molina a 11-point edge over Robbie Ray, driven mainly by BB/9 (1.4 vs 4.6) and WHIP (0.88 vs 1.34).
Bats are hot: +0.009 wOBA
San Francisco Giants is outhitting its own season form over the last 15 days. Recent form is context, not a model input, but it points the same way here.

The case for San Diego Padres

Team strength favors San Diego Padres
Before any pitcher or bullpen adjustment, LyDia's own team-strength model has San Diego Padres ahead (51.7% to 50.4%). The pick still comes from San Francisco Giants once the pitcher and bullpen terms are applied.

Why it is not official

Setup quality below the bar
Lab Rating is 7.0/10, under the 7.2/10 required for an official pick.
Own bullpen carries risk: 6.8/10
The San Francisco Giants bullpen comes in tired. A lead after six innings is less safe than usual.

Why the setup score is what it is

Conviction: 6.05/10
LyDia's win probability for San Francisco Giants (67.1%) is well clear of a coin flip -- this is a real, stated lean, not a guess.
Pitching plan: 33.33/40
Anthony Molina rates 75 on LyDia's pitcher score, judged on its own merits (50-80 is the credited range). That is a strong start on its own, and it earns most or all of the available credit here.
Offense: 30.23/50
San Francisco Giants's recent offensive form clearly outpaces San Diego Padres's over the tracked windows.

Why the price is what it is

Team strength: 50.4%
Before any pitcher or bullpen adjustment, LyDia's team-strength model alone makes San Francisco Giants 50.4% to win. Everything below moves the price from this starting point.
Pitcher score gap: 11 points
The pitcher-score gap favors San Francisco Giants by 11 points. This is the biggest single mover of the price -- a large gap moves it a lot, a small gap barely moves it.
Bullpen adjustment: +0.009
The bullpen-fatigue gap between the two pens nudges the price toward San Francisco Giants. This moves the price less than the starting pitchers do, since a starter covers more of the game than the bullpen.
Net effect: 50.4% -> 67.1%
Team strength alone had San Francisco Giants at 50.4%. After the pitcher and bullpen terms, the price is 67.1% -- the same number shown as Model Lean above.
The verdict Worth monitoring, nothing more. The setup has pieces but does not add up to a bet at today's price.
Read the full model output

San Francisco Giants remains on the watchlist. Lab Rating 7.0/10: conviction 6.05, pitching plan 33.33, offense 30.23. LyDia projects 67.1% against a 41.1% no-vig market number, a 26.0% model edge at +136. San Francisco Giants owns the starting pitcher edge by 11 points. Bullpen read: Elevated volatility. San Francisco Giants's pen efficiency: Average (4.5/10). Lineup check: San Francisco Giants is near its season form (+0.016 OPS); San Diego Padres is near its season form (-0.010 OPS).

Game information

MatchupSan Diego Padres at San Francisco Giants
DateFriday, September 11, 2026
First pitch10:15 PM ET
VenueOracle Park
Starting pitchersRobbie Ray vs Anthony Molina
WeatherGame-time forecast: 62°F, 1% precipitation chance, 17 mph wind from W.

Starting pitcher matchup

Full Pitcher Matchup Tool →
Robbie RayPadres · LHP
vs
Anthony MolinaGiants · RHP
MetricPadresGiants
Pitching planTraditional starterTraditional starter
Expected innings5⅓5
ThrowsLR
LyDia pitcher score (higher is better)6475
ERA (lower is better)3.392.79
WHIP (lower is better)1.340.88
K/9 (higher is better)7.67.0
K-BB% (higher is better)7.8%16.2%
K% (higher is better)19.9%20.3%
BB% (lower is better)12.1%4.1%
BB/9 (lower is better)4.61.4
HR/9 (lower is better)1.21.4
Ground-ball rate40.1%50.0%
Fly-ball rate59.9%50.0%

Pitcher edge: LyDia gives Anthony Molina a 11-point edge over Robbie Ray, driven mainly by BB/9 (1.4 vs 4.6) and WHIP (0.88 vs 1.34).

How to read this: the scorecards above name the starters; every number lives in this table.

Strikeout Projections Full strikeout projections →

Robbie Ray strikeouts
4.5 LyDia projected Ks
No K play · +0.0K difference is below LyDia's 0.7K threshold
Market 4.5K · O -101 / U -115 · 7 books
Anthony Molina strikeouts
3.9 LyDia projected Ks
No K play · +0.4K difference is below LyDia's 0.7K threshold
Market 3.5K · O -114 / U -103 · 7 books

Same data source as the Pitcher Matchup Tool, where every starter on the slate is compared side by side.

Both sides arrive in similar form. Padres are 6-4 in their last 10 and averaging 4.2 runs per game over the last 15 days; Giants are 6-4 in their last 10 and averaging 5.5 runs per game over the last 15 days. On the season Padres carry the better run differential per game (+0.12 against -0.49).

MetricPadresGiants
Last 106-46-4
Last 10 by venue (away team on the road, home team at home)3-7 on the road7-3 at home
OPS, last 15 days0.6930.732
wOBA, last 15 days (hot/cold read)0.3050.323
Runs per game, last 15 days4.25.5
K% last 15 days (lower is better)21.0%21.5%

Last 15 days only. Hot and cold streaks for all 30 teams live on the Stats page.

30-day offense

Full offense tool →
Last 30 daysPadresGiants
OPS0.7040.722 (+0.006 vs szn)
Runs per game4.04 (-0.200 vs szn)4.63 (+0.432 vs szn)
wOBA (model offense input)0.3120.319
K% (lower is better)21.1% (-0.6% vs szn)22.8% (+1.4% vs szn)

Over the last 30 days the Giants have been the better offense, 0.319 wOBA to 0.312.

Season profile

Full Stats page →
MetricPadresGiants
Record78-6862-85
Run differential / game (team quality)+0.12-0.49
Runs scored / game (offense, season)4.244.20
Runs allowed / game (defense, season, lower better)4.124.69
Season OPS0.7030.716
K% season (lower is better)21.7%21.4%
OPS vs opposing hand (season)0.7060.674

Season-long team quality, not recent form. Run differential and run environment come from the season standings; splits for all 30 teams live on the Stats page, including the run environment table.

Every team on today's slate, on any two axes you pick. Padres and Giants are highlighted.

Padres
Combined risk
7.1 Tired
Fatigue
8.3 High risk
Efficiency
7.4 Effective
Giants
Combined risk
6.8 Tired
Fatigue
6.5 Tired
Efficiency
4.5 Average

Risk is what the model actually uses: fatigue blended with how well the pen has pitched. High fatigue with high efficiency is a tired pen that is still getting outs.

MetricPadresGiants
Fatigue8.3/10, High risk6.5/10, Tired
Efficiency7.4/10, Effective4.5/10, Average
Combined risk7.1/10, Tired6.8/10, Tired
Relief innings, last 7 days28.724.0
Back-to-back arms54
7-day ERA1.574.50
7-day WHIP0.771.50

Fatigue measures workload. Efficiency measures recent run prevention. Combined risk is what the moneyline and totals systems use.

Run total projection

Full Totals Projections →
LyDia projection
8.7
Market total
8.0
Projected away runs
4.1
Projected home runs
4.6
Over price
-107
Under price
-107
San Diego Padres team total
4.1 projected
Line Not available · O Not available / U Not available
Market line pending
San Francisco Giants team total
4.6 projected
Line Not available · O Not available / U Not available
Market line pending

The model and market are close. Team totals remain research-only until their graded sample is established.

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