Park factor
98 total idx
Busch Stadium run environment
Park factor boosts run scoring, so contact quality matters more tonight here.
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San Francisco Giants at St. Louis Cardinals
SF
SF
33-47
PregameMon, 7:45 PM EDT
STL
STL
42-36
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 + marketBusch Stadium · St. Louis, Missouri
Drill down
Sub-model tables · ensemble breakdown · last meeting · book shop · player props
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 9/7
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.
49.5%
ensemble · SF favored
Elo Static
fallback · inputs missing
50.0%
P(STL win)
34%
weight
Elo Pitching
fallback · inputs missing
50.0%
P(STL win)
32%
weight
Bullpen Park
fallback · inputs missing
50.0%
P(STL 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
STL vs SF.
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.
130
projections · 78 high confidence
Strikeouts
- Landen RouppSF5.9± 1.8medium
- Logan WebbSF5.5± 1.5low
- Dustin MaySTL5.5± 3.4medium
Hits
- Casey SchmittSF1.5± 0.8high
- JJ WetherholtSTL1.3± 1.4high
- Jung Hoo LeeSF1.2± 0.9high
Total bases
- Casey SchmittSF2.2± 2.2high
- Jung Hoo LeeSF2.2± 1.8high
- JJ WetherholtSTL2.1± 3.0high
RBIs
- Blaze JordanSTL0.9± 1.4low
- Alec BurlesonSTL0.7± 0.5high
- Casey SchmittSF0.5± 0.7high
Earned runs
- Tyler MahleSF3.1± 4.0low
- Matthew LiberatoreSTL3.1± 2.1medium
- Adrian HouserSF2.9± 2.7low
Projections recompute every 30 minutes · prop lines plug in once sportsbook ingest lands
Matchup · 2026
Team rate stats vs league
MLB Stats API
SF
league avg
STL
.728
OPS
.719
.726
.309
OBP
.319
▶.327
4.10
Runs / G
4.50
▶4.60
4.42
Team ERA
4.18
▶4.30
1.38
WHIP
1.31
▶1.35
8.0
K / 9
◀
8.5
7.6
Data via ESPN · MLB Stats API · Baseball Savant