WSN @ STL MLB prediction: AI analysis & picks
Our picks for this match
Our Expert Analysis
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PROBABLE STARTERS
GAME CONTEXT
These two clubs meet at Busch Stadium for the second game of a three-game set. Washington took Game 1 the previous night (9-1) and leads the series 1-0. St. Louis has been mathematically eliminated following that loss and is playing out the string in the final homestand of the season at Busch Stadium (75-79 vs. WSN's 72-82).
KEY ABSENCES
GAME SCRIPT
Through the first five innings, Alvarez holds a clear edge on paper (xERA 4.19 vs. 5.27), and his most recent outing — 7.0 IP, 0 ER — shows his ceiling. McGreevy, however, is coming off a solid start of his own (6.0 IP, 1 ER) and can lean on St. Louis's offensive edge against opposing starters (wOBA .323 vs. WSN's .290). Alvarez's recent volatility — dominant on 09/12 but 3 ER in 4.1 IP on 09/06 and 3 ER in 4.2 IP on 08/25 — introduces real mid-game uncertainty. Both bullpens carry nearly identical 14-day ERAs (STL 4.99, WSN 5.01), and the 96°F heat with just 2 mph of wind offers no clear edge in a neutral park (Park Factor 0.97).
OUR ANALYSIS
The STL -1.5 case rests on two pillars: Alvarez's inconsistent track record, which leaves the door open for a regression in the middle innings, and St. Louis's offensive advantage against opposing starters (wOBA .323). McGreevy's recent form provides enough stability to keep the Cardinals competitive, and if Washington's bullpen cracks late — its 14-day ERA of 5.01 gives good reason to think it might — St. Louis can build the cushion needed to cover. The 2.820 price reflects genuine risk; size your bet proportionally given the 50% confidence level.
Alvarez just turned in his sharpest outing of the stretch (7.0 IP, 0 ER, 1 H on 09/12), and the Nationals have won four of their last five riding real collective momentum. If Alvarez replicates that performance, a depleted St. Louis lineup playing out an eliminated season lacks the firepower to manufacture a two-run margin. McGreevy's xERA of 5.27 signals structural vulnerability that a locked-in WSN offense can exploit. This scenario is credible enough to cap confidence at 50% — we're taking the bet, but with eyes open.
A measured play on the Cardinals' run line, built on a potential home rebound and Alvarez's tendency to fluctuate. Moderate confidence: keep the stake proportional.
Key Factors
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Head-to-Head
Form & Stats
Team Comparison
4 of 39 model features (last 5-10 games)
WSN
STAT
STL
| Date | Game | Score |
|---|---|---|
| 09/18 | @ STL | 9-1 |
| 09/16 | vs PHI | 0-3 |
| 09/15 | vs PHI | 6-3 |
| 09/13 | vs LAA | 6-5 |
| 09/12 | vs LAA | 6-5 |
| Date | Game | Score |
|---|---|---|
| 09/18 | vs WSN | 1-9 |
| 09/16 | vs SFG | 5-6 |
| 09/15 | vs SFG | 3-10 |
| 09/14 | vs SFG | 2-1 |
| 09/13 | vs CHW | 3-1 |
| Pitcher | Starts | F5 vs Line | F5 Over% | F5 Signal | FT vs Line | FT Over% | FT Signal |
|---|---|---|---|---|---|---|---|
| Andrew Alvarez (AWAY) | 9 | -1.00 | 33.3% | UNDER | 0.00 | 50.0% | - |
| Michael McGreevy (HOME) | 15 | -0.63 | 20.0% | - | 0.00 | 50.0% | - |
| Date | vs | IP | ER | H | BB | K | ERA |
|---|---|---|---|---|---|---|---|
| 09/25 | NYM | 4.67 | 5 | 7 | 3 | 7 | 9.64 |
| 09/19 | STL | 6.00 | 0 | 5 | 1 | 8 | 0.00 |
| 09/12 | LAA | 7.00 | 0 | 1 | 4 | 8 | 0.00 |
| 09/06 | LAD | 4.33 | 3 | 4 | 2 | 5 | 6.24 |
| 08/30 | MIA | 6.00 | 0 | 2 | 3 | 6 | 0.00 |
| 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 |
Frequently asked questions
When was WSN @ STL played?
This MLB game was played on 2026-09-19.
Where can I find the prediction for WSN @ STL?
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.
