STL @ SFG MLB prediction: AI analysis & picks
Our picks for this match
Our Expert Analysis
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PROBABLE STARTERS
OUR PICKS
GAME CONTEXT
The Cardinals (72-73) and Giants (60-85) are back at Oracle Park for the second straight game of their current series, with San Francisco taking the opener 5-4 on September 7. St. Louis needs a win here to even the series before Wednesday's finale, while the Giants look to push their home advantage.
KEY ABSENCES
GAME SCRIPT
Roupp (xERA 3.73) was exceptionally efficient in his last outing — 5.0 IP, 1 ER, 2 H on just 75 pitches on September 2 — working as a contact-oriented arm rather than a strikeout pitcher, facing a St. Louis lineup that carries the higher wOBA vs. starters in this matchup (0.312). Mathews (xERA 3.32) projects better on paper but brings real volatility: his August 22 start (7 ER in 5.0 IP) is a clear outlier that undercuts his otherwise cleaner recent lines, and San Francisco posts a 0.300 wOBA vs. SP. Once the starters exit, the bullpen split tilts toward the Giants — St. Louis carries a 5.60 ERA over the last 14 days versus San Francisco's 4.98. Oracle Park (71°F, 14 mph wind) plays mildly in favor of hitters.
OUR ANALYSIS
The SFG -1.5 run line at 3.040 is built on two measurable edges: Roupp's recent efficiency — he surrendered just 2 hits in 5.0 IP on September 2 — and San Francisco's bullpen advantage (ERA 4.98 vs. 5.60 for St. Louis over the last 14 days). If the Giants can build a cushion through the first five innings, their relief corps is better positioned to protect the lead. Oracle Park's 0.94 park factor moderately suppresses run scoring, which tends to support decisive margins over one-run finishes. At 50% confidence, this is a standard-unit play — not a max wager.
DEVIL'S ADVOCATE
Mathews owns the sharper xERA here (3.32) and has the ability to neutralize a San Francisco lineup hitting just .300 wOBA vs. starters. St. Louis has the offensive depth to chip away — they put 4 runs on the board at Oracle Park last night — and if Mathews delivers six clean innings while San Francisco's bullpen fails to hold, covering -1.5 gets difficult fast. The Cardinals' overall record (72-73) reflects a more complete roster than the Giants' (60-85), and road teams do beat run lines. We acknowledge the risk and keep the stake proportionate to the 50% confidence level.
PROBWIN VERDICT
An asymmetric run line play on the home Giants at 3.040, backed by Roupp's recent efficiency and a clear bullpen edge over St. Louis. Moderate 50% confidence — size accordingly.
Key Factors
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Head-to-Head
Form & Stats
| Date | Game | Score |
|---|---|---|
| 09/07 | @ SFG | 4-5 |
| 09/06 | @ COL | 10-8 |
| 09/05 | @ COL | 7-10 |
| 09/04 | @ COL | 7-6 |
| 09/03 | @ LAD | 2-3 |
| Date | Game | Score |
|---|---|---|
| 09/07 | vs STL | 5-4 |
| 09/06 | @ NYM | 2-4 |
| 09/05 | @ NYM | 9-5 |
| 09/04 | @ NYM | 6-10 |
| 09/03 | @ PIT | 2-5 |
| Pitcher | Starts | F5 vs Line | F5 Over% | F5 Signal | FT vs Line | FT Over% | FT Signal |
|---|---|---|---|---|---|---|---|
| Landen Roupp (HOME) | 13 | -0.69 | 30.8% | - | 0.00 | 50.0% | - |
| Date | vs | IP | ER | H | BB | K | ERA |
|---|---|---|---|---|---|---|---|
| 09/14 | SFG | 6.67 | 1 | 4 | 2 | 8 | 1.35 |
| 09/08 | SFG | 6.00 | 2 | 5 | 2 | 4 | 3.00 |
| 09/03 | LAD | 5.00 | 1 | 4 | 4 | 4 | 1.80 |
| 08/28 | PIT | 5.67 | 1 | 5 | 1 | 7 | 1.59 |
| 08/22 | PHI | 5.00 | 7 | 10 | 1 | 3 | 12.60 |
| Date | vs | IP | ER | H | BB | K | ERA |
|---|---|---|---|---|---|---|---|
| 09/14 | STL | 4.33 | 2 | 5 | 3 | 4 | 4.16 |
| 09/08 | STL | 6.00 | 0 | 2 | 4 | 2 | 0.00 |
| 09/02 | PIT | 5.00 | 1 | 2 | 2 | 4 | 1.80 |
| 08/27 | ARI | 5.00 | 1 | 4 | 2 | 3 | 1.80 |
| 08/20 | CLE | 5.33 | 3 | 5 | 4 | 2 | 5.07 |
Frequently asked questions
When was STL @ SFG played?
This MLB game was played on 2026-09-08.
Where can I find the prediction for STL @ SFG?
This ProbWin page shows the predictions our model published before the game (F5 and full-game totals, spreads), the key stats for both sides, and the settled result — every prediction is kept, win or lose, in our public track record.
How are these predictions calculated?
Our MLB statistical models are trained on league history and recomputed daily from team and player stats plus market odds. Every prediction is published before the game and its result is settled publicly.
