MLB matchup analysis

Giants vs Cardinals Prediction, Odds and Model Pick

Tuesday, September 15, 2026 at Busch Stadium · 7:45 PM ET

Pass

Leo decision: Pass on Giants vs Cardinals

Lab Rating
4.9/10
Model lean
Cardinals 63.6%
Market probability
58.6%
Model edge
+5.0%
Best moneyline
-156
Sportsbooks checked
3
Leo model
63.6%
Market
58.6%

The case for St. Louis Cardinals

Starting pitcher edge: 9 points
Leo gives Andre Pallante a 9-point edge over Blade Tidwell, driven mainly by HR/9 (0.66 vs 1.24) and expected innings (5.6 vs 4.8).
Bats are hot: +0.019 wOBA
St. Louis Cardinals 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 Francisco Giants

Late-inning bullpen advantage
St. Louis Cardinals relievers have a 5.57 ERA over the last 7 days; San Francisco Giants relievers have a 0.69. St. Louis Cardinals also have 8 arms pitching on back-to-back days, against 5 for San Francisco Giants. If this is still close after six innings, that gap favors San Francisco Giants.
Their bats are hot: +0.017 wOBA
San Francisco Giants is outhitting its own season form over the last 15 days.

Why it is not official

Setup quality below the bar
Lab Rating is 4.9/10, under the 7.2/10 required for an official pick.
Own bullpen carries risk: 8.1/10
The St. Louis Cardinals bullpen comes in tired. 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: 4.29/10
Leo leans toward St. Louis Cardinals, but not strongly enough to earn full conviction credit.
Pitching plan: 20/40
Andre Pallante rates 65 on Leo'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: 24.48/50
St. Louis Cardinals's recent form does not clearly outpace San Francisco Giants's.

Why the price is what it is

Team strength: 48.4%
Before any pitcher or bullpen adjustment, Leo's team-strength model alone makes St. Louis Cardinals 48.4% to win. Everything below moves the price from this starting point.
Pitcher score gap: 9 points
The pitcher-score gap favors St. Louis Cardinals by 9 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: -0.069
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: 48.4% -> 63.6%
Team strength alone had St. Louis Cardinals at 48.4%. After the pitcher and bullpen terms, the price is 63.6% -- the same number shown as Model Lean above.
The verdict Leo 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.

Final result

Giants 10, Cardinals 3

How the analysis held up

San Francisco Giants won. Leo's model favored the other side.

Andre Pallante (St. Louis Cardinals) was Leo's favored starter by pitcher score, but Blade Tidwell actually pitched better tonight: 6.2 IP, 2 ER (2.70 ERA) against 5.0 IP, 6 ER (10.80 ERA). The edge did not show up in this game.

The St. Louis Cardinals bullpen was flagged as elevated risk pregame (Tired). In relief it actually allowed 2 earned runs over 4.0 innings (4.50 ERA) — the risk read showed up. Note: 2 of the runs charged to the St. Louis Cardinals pitching staff overall were unearned — not something the bullpen's stuff should be blamed for.

Likely driver: Andre Pallante, the pick's own starter, was rocked for a 10.80 ERA.

Game information

MatchupSan Francisco Giants at St. Louis Cardinals
DateTuesday, September 15, 2026
First pitch7:45 PM ET
VenueBusch Stadium
Starting pitchersBlade Tidwell vs Andre Pallante
WeatherGame-time forecast: 86°F, 9% precipitation chance, 9 mph wind from SE.

Starting pitcher matchup

Full Pitcher Matchup Tool →
Blade TidwellGiants · RHP
vs
Andre PallanteCardinals · RHP
MetricGiantsCardinals
Pitching planTraditional starterTraditional starter
Expected innings55⅔
ThrowsRR
Leo pitcher score (higher is better)5665
ERA (lower is better)4.803.70
WHIP (lower is better)1.241.26
K/9 (higher is better)7.16.2
K-BB% (higher is better)8.9%9.1%
K% (higher is better)18.8%16.5%
BB% (lower is better)9.9%7.5%
BB/9 (lower is better)3.72.8
HR/9 (lower is better)1.20.7
Ground-ball rate34.6%63.4%
Fly-ball rate65.4%36.6%

Pitcher edge: Leo gives Andre Pallante a 9-point edge over Blade Tidwell, driven mainly by HR/9 (0.66 vs 1.24) and expected innings (5.6 vs 4.8).

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

Strikeout Projections Full strikeout projections →

Blade Tidwell strikeouts
3.2 Leo projected Ks
No K play · +0.7K difference is below Leo's 0.7K threshold
Market 2.5K · O -190 / U +140 · 1 book
Andre Pallante strikeouts
3.8 Leo projected Ks
No strikeout line posted when this page was generated

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

Giants are 4-6 in their last 10 and averaging 5.4 runs per game over the last 15 days; Cardinals are 5-5 in their last 10 and averaging 5.5 runs per game over the last 15 days. On the season Cardinals carry the better run differential per game (-0.09 against -0.47).

MetricGiantsCardinals
Last 104-65-5
Last 10 by venue (away team on the road, home team at home)4-6 on the road5-5 at home
OPS, last 15 days0.7550.751
wOBA, last 15 days (hot/cold read)0.3310.330
Runs per game, last 15 days5.45.5
K% last 15 days (lower is better)22.7%20.7%

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 daysGiantsCardinals
OPS0.730 (+0.014 vs szn)0.718 (+0.018 vs szn)
Runs per game4.86 (+0.632 vs szn)5.21 (+0.681 vs szn)
wOBA (model offense input)0.322 (+0.008 vs szn)0.317 (+0.007 vs szn)
K% (lower is better)24.2% (+2.7% vs szn)22.2% (+1.5% vs szn)

Over the last 30 days the Giants have been the better offense, 0.322 wOBA to 0.317. Giants are striking out at 24.2% over the window — something the opposing starter can lean on.

Season profile

Full Stats page →
MetricGiantsCardinals
Record62-8975-76
Run differential / game (team quality)-0.47-0.09
Runs scored / game (offense, season)4.234.53
Runs allowed / game (defense, season, lower better)4.704.61
Season OPS0.7160.701
K% season (lower is better)21.5%20.7%
OPS vs opposing hand (season)0.7350.697

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. Giants and Cardinals are highlighted.

Giants
Combined risk
5.8 Normal
Fatigue
7.1 Tired
Efficiency
7.6 Dominant
Cardinals
Combined risk
8.1 Tired
Fatigue
7.5 Tired
Efficiency
3.8 Below 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.

MetricGiantsCardinals
Fatigue7.1/10, Tired7.5/10, Tired
Efficiency7.6/10, Dominant3.8/10, Below average
Combined risk5.8/10, Normal8.1/10, Tired
Relief innings, last 7 days26.021.0
Back-to-back arms58
7-day ERA0.695.57
7-day WHIP1.001.52

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

Run total projection

Full Totals Projections →
Leo projection
9.6
Market total
8.5
Projected away runs
4.7
Projected home runs
4.1
Over price
+105
Under price
-122
San Francisco Giants team total
4.7 projected
Line 3.5 · O -113 / U -113
Over research lean (+1.2)
St. Louis Cardinals team total
4.1 projected
Line 4.5 · O +110 / U -140
No team-total lean

The model projects 1.1 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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