STL @ MIL MLB prediction: AI analysis & picks
Our picks for this match
Our Expert Analysis
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PROBABLE STARTERS
GAME CONTEXT
The Milwaukee Brewers (100-59) host the St. Louis Cardinals (77-82) in Game 1 of a three-game series at American Family Field to close out the regular season. The Cardinals arrive wrapping up a road trip, while the Brewers play in front of their home crowd for some of the final games of the year. This is a familiar NL Central rivalry matchup with late-season positioning on the line.
KEY ABSENCES
GAME SCRIPT
Gasser enters with a clear edge on the mound: xERA 4.41 versus McGreevy's 5.32, and he's coming off a dominant 7.0 IP, 0 ER outing on 107 pitches in his last start. Against a Cardinals lineup posting a .311 wOBA vs. SP, the Milwaukee lefty should control the first five innings, even if pitch count typically limits him to the fifth or sixth. McGreevy, on the other hand, was pulled after just 4.0 IP in his last start, with 2 ER and only 1 strikeout on 88 pitches — not an encouraging sign. The bullpen comparison tilts heavily toward Milwaukee as well: a 14-day ERA of 1.84 for the Brewers versus 3.04 for St. Louis. With the retractable roof closed at American Family Field, weather plays no role tonight.
OUR ANALYSIS
The -1.5 run line on Milwaukee makes sense against this backdrop. Gasser is in strong form, and the combination of a starter with a 5.32 xERA and a weaker St. Louis bullpen (3.04 ERA over 14 days) creates real opportunities for the Brewers to build and hold a multi-run lead. Milwaukee's offense posts a .350 wOBA vs. SP — among the better marks in the matchup — and is well-positioned to capitalize on McGreevy's recent struggles. The H2H history also leans Milwaukee's way, with the Brewers taking three of the last five meetings.
McGreevy has shown he can deliver quality starts this month — his September 13 outing went 6.0 IP with just 1 ER and 6 strikeouts, a version of him that keeps St. Louis in the game. If Gasser exits early and Milwaukee's bullpen posts an off night despite that 1.84 ERA, the Cardinals could keep this within a run. That scenario is possible, but the gap in bullpen quality and the overall run-differential profile of this matchup support staying the course on the Brewers.
Milwaukee checks the key boxes to cover the -1.5: better starter on current form, superior bullpen, and a more productive offense. The model's confidence sits at 59% — size your bet accordingly.
Key Factors
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Head-to-Head
Form & Stats
Team Comparison
5 of 39 model features (last 5-10 games)
| Date | Game | Score |
|---|---|---|
| 09/24 | @ PIT | 1-2 |
| 09/23 | @ PIT | 5-1 |
| 09/22 | @ PIT | 0-2 |
| 09/20 | vs WSN | 5-3 |
| 09/19 | vs WSN | 5-8 |
| Date | Game | Score |
|---|---|---|
| 09/24 | @ PHI | 5-1 |
| 09/23 | @ PHI | 4-1 |
| 09/22 | @ PHI | 4-6 |
| 09/20 | @ BAL | 3-0 |
| 09/19 | @ BAL | 1-0 |
| Pitcher | Starts | F5 vs Line | F5 Over% | F5 Signal | FT vs Line | FT Over% | FT Signal |
|---|---|---|---|---|---|---|---|
| Michael McGreevy (AWAY) | 17 | 0.63 | 50.0% | - | 0.00 | 50.0% | - |
| Robert Gasser (HOME) | 12 | -0.64 | 36.4% | - | 0.00 | 50.0% | - |
| Date | vs | IP | ER | H | BB | K | ERA |
|---|---|---|---|---|---|---|---|
| 09/25 | MIL | 4.67 | 4 | 9 | 2 | 2 | 7.71 |
| 09/19 | WSN | 4.00 | 2 | 5 | 1 | 1 | 4.50 |
| 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 |
| Date | vs | IP | ER | H | BB | K | ERA |
|---|---|---|---|---|---|---|---|
| 09/25 | STL | 6.00 | 1 | 1 | 1 | 9 | 1.50 |
| 09/19 | BAL | 7.00 | 0 | 3 | 3 | 2 | 0.00 |
| 09/13 | CIN | 5.00 | 1 | 3 | 2 | 5 | 1.80 |
| 09/07 | CHC | 4.67 | 1 | 3 | 2 | 5 | 1.93 |
| 09/01 | CHC | 4.33 | 2 | 3 | 2 | 4 | 4.16 |
Frequently asked questions
When was STL @ MIL played?
This MLB game was played on 2026-09-25.
Where can I find the prediction for STL @ MIL?
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.