BAL @ NYM MLB prediction: AI analysis & picks
Our picks for this match
Our Expert Analysis
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PROBABLE STARTERS
OUR PICKS
GAME CONTEXT
This is the first meeting between Baltimore (72-78) and New York (69-80) in the 2026 season, with both clubs sitting below .500 late in the schedule. The Orioles arrive on a poor run — 3-7 over their last 10, dropping back-to-back games in Toronto — while the Mets look to leverage home-field advantage in the series opener.
KEY ABSENCES
GAME SCRIPT
The first five innings set up in Tong's favor: his xERA of 3.69 edges Young's 4.40, and Baltimore's K Rate vs. starters sits at 0.240 — exactly the strikeout-prone profile Tong exploited when he punched out 7 batters over 5.0 IP in his last start (Sept. 7). Young, meanwhile, is coming off his worst outing of the season — 3.2 IP, 6 ER, 8 H on 86 pitches (Sept. 8) — and faces a Mets lineup that carries the stronger wOBA against opposing starters in this matchup (0.357 vs. 0.284 for Baltimore). Once the game moves to the bullpens, Baltimore holds a clear advantage (14-day ERA: 3.94 vs. 5.40 for NYM), but if New York builds a multi-run lead early, it's the Orioles' pen that absorbs the pressure. A park factor of 0.95 and an incoming NE wind at 12 km/h (8 mph) at 20°C (67°F) keep conditions slightly pitcher-friendly.
OUR ANALYSIS
The Mets run line -1.5 makes sense for two converging reasons: New York is the more productive offense against starters (wOBA 0.357) going up against a visibly compromised Young, and Tong's strikeout ability (7 K, 5.0 IP on Sept. 7) matches up well against a Baltimore lineup that whiffs at a 0.240 clip. If Young can't get through the fourth or fifth inning, a two-run lead materializes before NYM's shaky bullpen even becomes a factor. Baltimore's road struggles — two straight losses and a 3-7 slide over 10 games — add a momentum disadvantage.
DEVIL'S ADVOCATE
Tong's own volatility is the real counterargument: he surrendered all 4 ER in a single inning during his last outing, and his xERA of 3.69 is built on a small 2026 sample as a starter. If Young rights himself quickly and delivers five workable innings, the offensive edge for New York fades — and a bullpen posting a 5.40 ERA over the past 14 days becomes the main exposure. That risk is legitimate, but Young's recent meltdown (3.2 IP, 6 ER) and Baltimore's collective slide make it one we're willing to accept at 50% confidence.
PROBWIN VERDICT
A measured play: Young's deteriorating form and New York's superior production against starters support the run line -1.5, but Tong's inning-to-inning volatility and the Mets' bullpen keep uncertainty real. Size your bet in line with the stated confidence level.
Key Factors
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Head-to-Head
Form & Stats
| Date | Game | Score |
|---|---|---|
| 09/13 | @ TOR | 1-8 |
| 09/12 | @ TOR | 3-7 |
| 09/11 | @ TOR | 7-4 |
| 09/09 | vs CLE | 9-5 |
| 09/08 | vs CLE | 5-9 |
| Date | Game | Score |
|---|---|---|
| 09/13 | @ NYY | 0-2 |
| 09/12 | @ NYY | 12-2 |
| 09/11 | @ NYY | 4-6 |
| 09/09 | @ MIA | 15-14 |
| 09/08 | @ MIA | 7-5 |
| Pitcher | Starts | F5 vs Line | F5 Over% | F5 Signal | FT vs Line | FT Over% | FT Signal |
|---|---|---|---|---|---|---|---|
| Brandon Young (AWAY) | 13 | 0.92 | 58.3% | OVER | 0.00 | 50.0% | - |
| Date | vs | IP | ER | H | BB | K | ERA |
|---|---|---|---|---|---|---|---|
| 09/14 | NYM | 5.00 | 1 | 5 | 5 | 6 | 1.80 |
| 09/08 | CLE | 3.67 | 6 | 8 | 2 | 2 | 14.71 |
| 09/03 | BOS | 6.67 | 3 | 4 | 2 | 7 | 4.05 |
| 08/28 | OAK | 7.00 | 1 | 5 | 1 | 4 | 1.29 |
| 08/22 | TBR | 5.67 | 2 | 6 | 3 | 3 | 3.17 |
| Date | vs | IP | ER | H | BB | K | ERA |
|---|---|---|---|---|---|---|---|
| 09/14 | BAL | 6.00 | 0 | 4 | 1 | 6 | 0.00 |
| 09/07 | MIA | 5.00 | 4 | 4 | 1 | 7 | 7.20 |
| 06/02 | SEA | 3.33 | 4 | 5 | 2 | 4 | 10.81 |
| 05/27 | CIN | 3.67 | 0 | 3 | 4 | 1 | 0.00 |
| 05/22 | MIA | 3.00 | 0 | 0 | 1 | 2 | 0.00 |
Frequently asked questions
When was BAL @ NYM played?
This MLB game was played on 2026-09-14.
Where can I find the prediction for BAL @ NYM?
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.






