NYY @ SDP 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 rubber game of a three-game set at Petco Park, with the series knotted at one apiece after San Diego took Game 1 (3-2) and New York answered emphatically in Game 2 (5-1). The Yankees hold the stronger season record at 81-61, compared to the Padres' 74-68.
KEY ABSENCES
GAME SCRIPT
Michael King arrives on a hot streak — back-to-back scoreless outings (6.0 IP, 0 ER on August 31; 7.0 IP, 0 ER on August 25) — against a Yankees lineup already missing Aaron Judge (60-Day-IL). Cole owns the better xERA (3.40 vs. 4.36), but his most recent start hit a rough patch: 3 ER allowed over just 5.1 IP on September 1. Petco Park skews pitcher-friendly at a 0.93 park factor, and the 92°F heat paired with a 9 mph breeze is unlikely to meaningfully inflate run scoring. When the starters hand things off, the bullpen gap takes over: San Diego's relievers are running a 2.06 ERA over the past 14 days against New York's 3.78 — a decisive edge in a winner-take-all game.
OUR ANALYSIS
The SDP -1.5 run line case rests on three pillars: King's elite recent form (zero earned runs across his last 13 innings), a commanding bullpen advantage (2.06 vs. 3.78 ERA over 14 days), and home-field footing in a high-stakes finale. San Diego's offense also edges New York in wOBA against starters (.312 vs. .298), pointing to a slight edge in run production. That bullpen differential is wide enough to project a multi-run Padres win rather than a one-run squeaker. Confidence is pegged at 50% — this is a calculated play, size your stake accordingly.
DEVIL'S ADVOCATE
Gerrit Cole remains the better starter on paper (xERA 3.40) and is perfectly capable of locking in for a quality start of 6+ innings, keeping New York in a low-scoring ballgame. The Yankees carry the better record (81-61) and looked dominant in Game 2 (5-1). Winning the game while failing to cover the -1.5 spread is a real risk, especially if King's pitch count climbs early or San Diego's bullpen has an off night. That's exactly why confidence sits at 50% — we're taking the bet, but with clear eyes on the spread's inherent difficulty.
PROBWIN VERDICT
King's current form and San Diego's bullpen edge make the home run line a legitimate play in this deciding game. The 3.030 price reflects real spread uncertainty — calculated pick, moderate stake.
Key Factors
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Head-to-Head
Form & Stats
| Date | Game | Score |
|---|---|---|
| 09/05 | @ SDP | 5-1 |
| 09/04 | @ SDP | 2-3 |
| 09/02 | @ LAA | 6-3 |
| 09/01 | @ LAA | 7-3 |
| 08/31 | @ LAA | 1-10 |
| Date | Game | Score |
|---|---|---|
| 09/05 | vs NYY | 1-5 |
| 09/04 | vs NYY | 3-2 |
| 09/02 | @ CIN | 3-7 |
| 09/01 | @ CIN | 3-4 |
| 08/31 | @ CIN | 5-0 |
| Pitcher | Starts | F5 vs Line | F5 Over% | F5 Signal | FT vs Line | FT Over% | FT Signal |
|---|---|---|---|---|---|---|---|
| Gerrit Cole (AWAY) | 12 | -0.58 | 33.3% | - | 0.00 | 50.0% | - |
| Michael King (HOME) | 15 | -1.43 | 20.0% | UNDER | 0.00 | 50.0% | - |
| Date | vs | IP | ER | H | BB | K | ERA |
|---|---|---|---|---|---|---|---|
| 09/18 | ARI | 6.00 | 2 | 4 | 0 | 6 | 3.00 |
| 09/12 | NYM | 4.33 | 5 | 9 | 0 | 4 | 10.39 |
| 09/06 | SDP | 7.00 | 4 | 6 | 0 | 3 | 5.14 |
| 09/01 | LAA | 5.33 | 3 | 8 | 1 | 5 | 5.07 |
| 08/27 | HOU | 6.00 | 3 | 6 | 1 | 5 | 4.50 |
| Date | vs | IP | ER | H | BB | K | ERA |
|---|---|---|---|---|---|---|---|
| 09/17 | COL | 6.00 | 2 | 7 | 2 | 6 | 3.00 |
| 09/12 | SFG | 7.00 | 3 | 5 | 0 | 4 | 3.86 |
| 09/06 | NYY | 6.00 | 0 | 4 | 3 | 3 | 0.00 |
| 08/31 | CIN | 6.00 | 0 | 4 | 3 | 6 | 0.00 |
| 08/25 | PIT | 7.00 | 0 | 5 | 2 | 7 | 0.00 |
Frequently asked questions
When was NYY @ SDP played?
This MLB game was played on 2026-09-06.
Where can I find the prediction for NYY @ SDP?
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.
