MLB matchup analysis

Cardinals vs Giants Prediction, Odds and Model Pick

Monday, September 7, 2026 at Oracle Park · 8:10 PM ET

Pass

LyDia decision: Pass on Cardinals vs Giants

Lab Rating
4.3/10
Model lean
Giants 51.5%
Market probability
50.3%
Model edge
+1.2%
Best moneyline
-105
Sportsbooks checked
6
LyDia model
51.5%
Market
50.3%

The case for San Francisco Giants

Bats are hot: +0.021 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 St. Louis Cardinals

Their bats are hot: +0.018 wOBA
St. Louis Cardinals is outhitting its own season form over the last 15 days.
Team strength favors St. Louis Cardinals
Before any pitcher or bullpen adjustment, LyDia's own team-strength model has St. Louis Cardinals ahead (53.8% to 44.8%). The pick still comes from San Francisco Giants once the pitcher and bullpen terms are applied.

Why it is not official

Below the 61.0% official gate
Win probability is 51.5%. LyDia does not make a game official below 61.0%, no matter how good the price is. This is a value spot, not a high-confidence winner.
Setup quality below the bar
Lab Rating is 4.3/10, under the 7.2/10 required for an official pick.
Own bullpen carries risk: 9.2/10
The San Francisco Giants bullpen comes in high risk. A lead after six innings is less safe than usual.

Why the setup score is what it is

Conviction: 0/10
LyDia's own win probability for San Francisco Giants (51.5%) is close enough to a coin flip that the rating credits little or no conviction -- credit only starts above 55%.
Pitching plan: 21.33/40
Logan Webb rates 66 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: 21.33/50
San Francisco Giants's recent form does not clearly outpace St. Louis Cardinals's.

Why the price is what it is

Team strength: 44.8%
Before any pitcher or bullpen adjustment, LyDia's team-strength model alone makes San Francisco Giants 44.8% to win. Everything below moves the price from this starting point.
Pitcher score gap: 2 points
The pitcher-score gap favors San Francisco Giants by 2 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: +0.024
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: 44.8% -> 51.5%
Team strength alone had San Francisco Giants at 44.8%. After the pitcher and bullpen terms, the price is 51.5% -- the same number shown as Model Lean above.
The verdict LyDia passes. The combined Lab Rating did not clear the official threshold.
Read the full model output

The combined Lab Rating did not clear the official threshold.

Game information

MatchupSt. Louis Cardinals at San Francisco Giants
DateMonday, September 7, 2026
First pitch8:10 PM ET
VenueOracle Park
Starting pitchersMichael McGreevy vs Logan Webb
WeatherGame-time forecast: 73°F, 0% precipitation chance, 13 mph wind from W.

Starting pitcher matchup

Full Pitcher Matchup Tool →
Michael McGreevyCardinals · RHP
vs
Logan WebbGiants · RHP
MetricCardinalsGiants
Pitching planTraditional starterTraditional starter
Expected innings5⅓6
ThrowsRR
LyDia pitcher score (higher is better)6466
ERA (lower is better)3.974.21
WHIP (lower is better)1.261.16
K/9 (higher is better)6.27.2
K-BB% (higher is better)10.2%13.0%
K% (higher is better)16.8%19.2%
BB% (lower is better)6.6%6.1%
BB/9 (lower is better)2.42.3
HR/9 (lower is better)1.20.7
Ground-ball rate51.2%58.9%
Fly-ball rate48.8%41.1%

Pitcher edge: LyDia gives Logan Webb a 2-point edge over Michael McGreevy, driven mainly by HR/9 (0.66 vs 1.22) and expected innings (6.0 vs 5.5).

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

Strikeout Projections Full strikeout projections →

Michael McGreevy strikeouts
4.6 LyDia projected Ks
Qualifying projection: OVER 3.5K · +1.1K difference
Market 3.5K · O +115 / U -141 · 4 books
Logan Webb strikeouts
4.9 LyDia projected Ks
No K play · -0.6K difference is below LyDia's 0.7K threshold
Market 5.5K · O +124 / U -158 · 4 books

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

Cardinals are 6-4 in their last 10 and averaging 5.8 runs per game over the last 15 days; Giants are 4-6 in their last 10 and averaging 5.6 runs per game over the last 15 days. On the season Cardinals carry the better run differential per game (-0.06 against -0.52).

MetricCardinalsGiants
Last 106-44-6
Last 10 by venue (away team on the road, home team at home)5-5 on the road5-5 at home
OPS, last 15 days0.7560.763
wOBA, last 15 days (hot/cold read)0.3310.335
Runs per game, last 15 days5.85.6
K% last 15 days (lower is better)23.0%22.1%

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 daysCardinalsGiants
OPS0.748 (+0.044 vs szn)0.692 (-0.023 vs szn)
Runs per game5.54 (+0.973 vs szn)4.25 (+0.063 vs szn)
wOBA (model offense input)0.329 (+0.017 vs szn)0.307 (-0.007 vs szn)
K% (lower is better)22.0% (+1.2% vs szn)23.6% (+2.2% vs szn)

Over the last 30 days the Cardinals have been the better offense, 0.329 wOBA to 0.307. They are running hot against their own season line (+0.017 wOBA).

Season profile

Full Stats page →
MetricCardinalsGiants
Record72-7259-85
Run differential / game (team quality)-0.06-0.52
Runs scored / game (offense, season)4.564.19
Runs allowed / game (defense, season, lower better)4.634.71
Season OPS0.7040.715
K% season (lower is better)20.8%21.4%
OPS vs opposing hand (season)0.6990.732

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. Cardinals and Giants are highlighted.

Cardinals
Combined risk
10.0 High risk
Fatigue
10.0 High risk
Efficiency
3.2 Below average
Giants
Combined risk
9.2 High risk
Fatigue
7.8 Tired
Efficiency
2.2 Struggling

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.

MetricCardinalsGiants
Fatigue10.0/10, High risk7.8/10, Tired
Efficiency3.2/10, Below average2.2/10, Struggling
Combined risk10.0/10, High risk9.2/10, High risk
Relief innings, last 7 days31.331.7
Back-to-back arms95
7-day ERA6.327.39
7-day WHIP1.661.86

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
11.9
Market total
8.0
Projected away runs
6.8
Projected home runs
4.7
Over price
+103
Under price
-115
St. Louis Cardinals team total
6.8 projected
Line Not available · O Not available / U Not available
Market line pending
San Francisco Giants team total
4.7 projected
Line Not available · O Not available / U Not available
Market line pending

The model projects 3.9 runs above the market total. A research lean still requires a setup rating of at least 7.0/10. Team totals remain research-only until their graded sample is established.

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