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 San Francisco Giants (59-85) host the St. Louis Cardinals (72-72) at Oracle Park. St. Louis arrives on a road trip with a 3-2 record over their last five games, while San Francisco comes in at 2-3 over that same stretch. The tone of the series gets set right here in the opener.
KEY ABSENCES
GAME SCRIPT
Webb holds the xERA edge (4.06 vs. 5.36) on paper, but his last two documented starts are hard to ignore: 2.0 IP, 9 ER on 09/01 and 2.2 IP, 5 ER on 08/21 — another short outing looks like a real possibility. Facing him is a Cardinals lineup that posts a .238 strikeout rate against starters, slightly higher than the Giants' .211 against McGreevy, which gives Webb a modest edge in matchup profile. McGreevy gave up 7 ER over 5.0 IP on 08/26 before bouncing back for 5.0 IP/4 ER on 09/01; he'll likely turn things over to the St. Louis bullpen by the middle innings. That's where the gap is sharpest: San Francisco's relief corps carries a 14-day ERA of 4.75 compared to 6.38 for the Cardinals. Oracle Park's park factor (0.94) and a 13 mph bay breeze further suppress run production and blunt St. Louis's exit velocity of 83.0.
OUR ANALYSIS
The HOME -1.5 play is built on a structural bullpen edge: St. Louis's pen (14-day ERA 6.38) is considerably more vulnerable than San Francisco's (4.75), and when the backend takes over — highly likely given Webb's recent form — that gap becomes the key lever in a close game. Webb's superior xERA (4.06 vs. McGreevy's 5.36) still projects him as the more efficient starter at a process level, and the pitcher-friendly conditions at Oracle Park cap the damage when he's working around contact. Stake should reflect the 50% confidence assigned to this pick.
DEVIL'S ADVOCATE
Webb's recent track record is genuinely worrying: 2.0 IP, 9 ER on 09/01 and 2.2 IP, 5 ER on 08/21. If he implodes a third straight time, San Francisco is looking at 7+ innings from a bullpen that, while better than St. Louis's, was never designed to carry that kind of load. The Cardinals showed they can put up runs in volume — a 10-8 win on 09/06 and a .310 wOBA against starters — so the offense isn't toothless. That risk is real, but the bullpen gap remains the most reliable structural edge pointing toward the Giants covering the run line, and we're comfortable holding through it.
PROBWIN VERDICT
San Francisco's bullpen advantage and Webb's superior xERA form the foundation of the HOME -1.5 play. At 50% confidence, size your bet accordingly.
Key Factors
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Form & Stats
| Date | Game | Score |
|---|---|---|
| 09/06 | @ COL | 10-8 |
| 09/05 | @ COL | 7-10 |
| 09/04 | @ COL | 7-6 |
| 09/03 | @ LAD | 2-3 |
| 09/02 | @ LAD | 8-6 |
| Date | Game | Score |
|---|---|---|
| 09/06 | @ NYM | 2-4 |
| 09/05 | @ NYM | 9-5 |
| 09/04 | @ NYM | 6-10 |
| 09/03 | @ PIT | 2-5 |
| 09/02 | @ PIT | 5-4 |
| Pitcher | Starts | F5 vs Line | F5 Over% | F5 Signal | FT vs Line | FT Over% | FT Signal |
|---|---|---|---|---|---|---|---|
| Michael McGreevy (AWAY) | 20 | 0.63 | 46.7% | - | 0.00 | 50.0% | - |
| Logan Webb (HOME) | 15 | 1.00 | 60.0% | OVER | 0.00 | 50.0% | - |
| Date | vs | IP | ER | H | BB | K | ERA |
|---|---|---|---|---|---|---|---|
| 09/13 | CHW | 6.00 | 1 | 3 | 3 | 6 | 1.50 |
| 09/07 | SFG | 6.67 | 2 | 6 | 2 | 4 | 2.70 |
| 09/01 | LAD | 5.00 | 4 | 5 | 2 | 4 | 7.20 |
| 08/26 | BAL | 5.00 | 7 | 10 | 2 | 3 | 12.60 |
| 08/20 | CIN | 5.33 | 3 | 3 | 2 | 4 | 5.07 |
| Date | vs | IP | ER | H | BB | K | ERA |
|---|---|---|---|---|---|---|---|
| 09/13 | SDP | 5.00 | 6 | 8 | 1 | 7 | 10.80 |
| 09/07 | STL | 6.00 | 1 | 3 | 2 | 8 | 1.50 |
| 09/01 | PIT | 2.00 | 9 | 9 | 2 | 1 | 40.50 |
| 08/26 | CIN | 6.00 | 2 | 5 | 1 | 6 | 3.00 |
| 08/21 | BOS | 2.67 | 5 | 6 | 3 | 2 | 16.85 |
Frequently asked questions
When was STL @ SFG played?
This MLB game was played on 2026-09-07.
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.
