NYY @ ARI MLB prediction: AI analysis & picks
Our picks for this match
Our Expert Analysis
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PROBABLE STARTERS
GAME CONTEXT
This is the rubber game of a three-game set at Chase Field with the series knotted at one apiece — New York dominated in Game 1 (9-2), Arizona punched back in Game 2 (5-3). The Yankees (89-65) have already clinched a playoff berth, which could affect how they manage their depth down the stretch. Arizona (81-74) is playing with their back against the wall — five games out of the final NL Wild Card spot with eight games left.
KEY ABSENCES
GAME SCRIPT
Burnes is making roughly his third start since returning from a 15-month absence and remains on a progressive workload — his last outing (4.2 IP, 5 ER on 9/14, 75 pitches) flags real volatility. Warren brings sharper recent form: 5.2 IP, 0 ER on 9/14 (92 pitches), though his xERA of 4.39 trails Burnes' 3.71. Both lineups share the same strikeout rate against starters (0.225), keeping the early innings fairly even on paper. The biggest structural edge belongs to the bullpens: Arizona's 14-day ERA sits at 2.67 versus 3.49 for New York. Chase Field's closed dome removes any weather variable; the park factor (1.02) is neutral.
OUR ANALYSIS
The AI trend leans on the home run line — a bet Arizona covers whether they win outright or keep it within one run. The Arizona bullpen (2.67 ERA over 14 days) is the clearest measurable edge in this matchup: if Burnes hands off the ball early, that relief corps has shown the depth to hold or limit damage. With Aaron Judge and Jazz Chisholm Jr. sidelined, New York's middle-of-the-order punch is thinner than usual. The combination of Arizona's bullpen advantage, a shorthanded Yankees lineup, and the 1.5-run cushion supports this 64% lean.
If Burnes implodes again — as he did on 9/14 (5 ER in 4.2 IP) — while Warren stays locked in at his 9/14 level (5.2 IP, 0 ER), New York can pile up a comfortable multi-run lead before the Arizona bullpen even takes the mound, making the spread difficult to cover regardless of late-inning relief quality. At 64%, this is a lean, not a lock. We accept that risk: the 1.5-run buffer is precisely why the play still holds value in that downside scenario, but stakes should stay proportionate to the uncertainty.
AI trend at 64% on the Arizona run line: the bullpen edge and the built-in 1.5-run spread buffer make this a reasonable play in a winner-take-all series finale — keep your stake measured given the questions around Burnes' workload.
Key Factors
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Head-to-Head
Form & Stats
Team Comparison
4 of 39 model features (last 5-10 games)
NYY
STAT
ARI
| Date | Game | Score |
|---|---|---|
| 09/19 | @ ARI | 3-5 |
| 09/18 | @ ARI | 9-2 |
| 09/16 | @ MIN | 4-5 |
| 09/15 | @ MIN | 8-1 |
| 09/14 | @ MIN | 8-3 |
| Date | Game | Score |
|---|---|---|
| 09/19 | vs NYY | 5-3 |
| 09/18 | vs NYY | 2-9 |
| 09/16 | vs MIA | 3-4 |
| 09/15 | vs MIA | 2-4 |
| 09/14 | vs MIA | 8-7 |
| Pitcher | Starts | F5 vs Line | F5 Over% | F5 Signal | FT vs Line | FT Over% | FT Signal |
|---|---|---|---|---|---|---|---|
| Will Warren (AWAY) | 15 | 1.43 | 53.3% | OVER | 0.00 | 50.0% | - |
| Date | vs | IP | ER | H | BB | K | ERA |
|---|---|---|---|---|---|---|---|
| 09/25 | BAL | 3.67 | 0 | 3 | 0 | 7 | 0.00 |
| 09/20 | ARI | 4.33 | 4 | 6 | 3 | 4 | 8.31 |
| 09/14 | MIN | 5.67 | 0 | 5 | 2 | 6 | 0.00 |
| 09/09 | COL | 6.00 | 1 | 4 | 2 | 8 | 1.50 |
| 09/04 | SDP | 2.33 | 0 | 0 | 1 | 0 | 0.00 |
| Date | vs | IP | ER | H | BB | K | ERA |
|---|---|---|---|---|---|---|---|
| 09/20 | NYY | 2.67 | 4 | 5 | 2 | 2 | 13.48 |
| 09/14 | MIA | 4.67 | 5 | 5 | 0 | 4 | 9.64 |
| 09/08 | KCR | 3.00 | 0 | 2 | 2 | 2 | 0.00 |
| 06/01 | WSH | 4.67 | 1 | 4 | 1 | 6 | 1.93 |
| 05/27 | PIT | 7.00 | 2 | 6 | 2 | 6 | 2.57 |
Frequently asked questions
When was NYY @ ARI played?
This MLB game was played on 2026-09-20.
Where can I find the prediction for NYY @ ARI?
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.
