MLB matchup analysis

Cardinals vs Giants Prediction, Odds and Model Pick

Tuesday, September 8, 2026 at Oracle Park · 9:45 PM ET

Pass

LyDia decision: Pass on Cardinals vs Giants

Lab Rating
4.6/10
Model lean
Giants 67.4%
Market probability
49.8%
Model edge
+17.6%
Best moneyline
-102
Sportsbooks checked
9
LyDia model
67.4%
Market
49.8%

The case for San Francisco Giants

Starting pitcher edge: 12 points
LyDia gives Landen Roupp a 12-point edge over Quinn Mathews, driven mainly by WHIP (1.29 vs 1.58) and expected innings (5.4 vs 4.9).
Bats are hot: +0.024 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: +0.017 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 (51.1% to 47.5%). 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 4.6/10, 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.
Opponent is swinging it
The other lineup is +0.017 wOBA above its season form over the last 15 days.

Why the setup score is what it is

Conviction: 6.21/10
LyDia's win probability for San Francisco Giants (67.4%) is well clear of a coin flip -- this is a real, stated lean, not a guess.
Pitching plan: 16/40
Landen Roupp rates 62 on LyDia's pitcher score, judged on its own merits (50-80 is the credited range). Average or below by that measure, so it earns little or none of the available credit here -- independent of who the opponent is throwing.
Offense: 24.23/50
San Francisco Giants's recent form does not clearly outpace St. Louis Cardinals's.

Why the price is what it is

Team strength: 47.5%
Before any pitcher or bullpen adjustment, LyDia's team-strength model alone makes San Francisco Giants 47.5% to win. Everything below moves the price from this starting point.
Pitcher score gap: 12 points
The pitcher-score gap favors San Francisco Giants by 12 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: 47.5% -> 67.4%
Team strength alone had San Francisco Giants at 47.5%. After the pitcher and bullpen terms, the price is 67.4% -- 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
DateTuesday, September 8, 2026
First pitch9:45 PM ET
VenueOracle Park
Starting pitchersQuinn Mathews vs Landen Roupp
WeatherGame-time forecast: 68°F, 0% precipitation chance, 14 mph wind from W.

Starting pitcher matchup

Full Pitcher Matchup Tool →
Quinn MathewsCardinals · LHP
vs
Landen RouppGiants · RHP
MetricCardinalsGiants
Pitching planTraditional starterTraditional starter
Expected innings55⅓
ThrowsLR
LyDia pitcher score (higher is better)5062
ERA (lower is better)4.384.17
WHIP (lower is better)1.581.29
K/9 (higher is better)8.88.5
K-BB% (higher is better)10.7%11.2%
K% (higher is better)21.4%22.3%
BB% (lower is better)10.7%11.1%
BB/9 (lower is better)4.44.2
HR/9 (lower is better)0.40.7
Ground-ball rate41.7%57.2%
Fly-ball rate58.3%42.8%

Pitcher edge: LyDia gives Landen Roupp a 12-point edge over Quinn Mathews, driven mainly by WHIP (1.29 vs 1.58) and expected innings (5.4 vs 4.9).

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

Strikeout Projections Full strikeout projections →

Quinn Mathews strikeouts
5.9 LyDia projected Ks
No K play · +0.4K difference is below LyDia's 0.7K threshold
Market 5.5K · O +122 / U -148 · 5 books
Landen Roupp strikeouts
4.3 LyDia projected Ks
Official pick: UNDER 5.5K · -1.2K difference
Market 5.5K · O +132 / U -140 · 5 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. Cardinals are 5-5 in their last 10 and averaging 5.8 runs per game over the last 15 days; Giants are 5-5 in their last 10 and averaging 5.7 runs per game over the last 15 days. On the season Cardinals carry the better run differential per game (-0.07 against -0.51).

MetricCardinalsGiants
Last 105-55-5
Last 10 by venue (away team on the road, home team at home)4-6 on the road6-4 at home
OPS, last 15 days0.7510.771
wOBA, last 15 days (hot/cold read)0.3280.338
Runs per game, last 15 days5.85.7
K% last 15 days (lower is better)22.9%21.6%

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
OPS0.740 (+0.036 vs szn)0.708 (-0.008 vs szn)
Runs per game5.46 (+0.906 vs szn)4.43 (+0.235 vs szn)
wOBA (model offense input)0.326 (+0.014 vs szn)0.313
K% (lower is better)22.5% (+1.7% vs szn)23.2% (+1.8% vs szn)

Over the last 30 days the Cardinals have been the better offense, 0.326 wOBA to 0.313. They are running hot against their own season line (+0.014 wOBA).

Season profile

Full Stats page →
MetricCardinalsGiants
Record72-7360-85
Run differential / game (team quality)-0.07-0.51
Runs scored / game (offense, season)4.564.19
Runs allowed / game (defense, season, lower better)4.634.70
Season OPS0.7040.716
K% season (lower is better)20.8%21.4%
OPS vs opposing hand (season)0.6980.673

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
3.5 Below average
Giants
Combined risk
9.2 High risk
Fatigue
7.7 Tired
Efficiency
2.1 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 risk7.7/10, Tired
Efficiency3.5/10, Below average2.1/10, Struggling
Combined risk10.0/10, High risk9.2/10, High risk
Relief innings, last 7 days35.032.7
Back-to-back arms95
7-day ERA5.667.44
7-day WHIP1.691.96

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
11.8
Market total
7.5
Projected away runs
6.4
Projected home runs
5.0
Over price
-116
Under price
+101
St. Louis Cardinals team total
6.4 projected
Line 3.5 · O -128 / U +107
Over research lean (+2.9)
San Francisco Giants team total
5.0 projected
Line 3.5 · O -118 / U -105
Over research lean (+1.5)

The model projects 4.3 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.

More games today

All matchups →

Every LyDia pick, graded in public

Free daily model card by email, or open today's full slate. Membership adds delivery before first pitch.

Today's picks Membership

Model outputs are not guarantees. LyDia provides analysis and education only. Every official pick remains visible on the Results page. 21+. If you or someone you know has a gambling problem, call 1-800-GAMBLER.