Fine-tune team strengths to model injuries, form, or what-if scenarios
Each run draws new ratings around the real ones. Higher variance means bigger swings.
Philadelphia
New York
|
90
A-
|
Overall |
94
A
|
|
84
B
|
Power |
95
A
|
|
76
C
6099
|
Offensive |
91
A-
6099
|
|
Philadelphia
6099
New York
6099
|
||
|
86
B
6099
|
Defensive |
96
A
6099
|
|
Philadelphia
6099
New York
6099
|
||
|
84
B
|
SoS (Current) |
73
C-
|
|
84
B
|
SoS (Full Season) |
73
C-
|
Philadelphia
New York
| 8 | Overall | 5 |
| 12 | Power | 4 |
| 18 | Offensive | 7 |
| 11 | Defensive | 3 |
| 12 | SoS (Current) | 20 |
| 12 | SoS (Full Season) | 20 |
Wk 32 (Oct 30), 2026: NY Yankees 53%, Philadelphia 47% at Philadelphia.
NY Yankees' win probability against Philadelphia has held at 53% over the last 6 weeks — this matchup has settled.
NY Yankees' win probability against Philadelphia has held at 55% over the last 6 weeks — this matchup has settled.
NY Yankees' win probability against Philadelphia has held at 58% over the last 6 weeks — this matchup has settled.
| Week | At Philadelphia | Neutral | At NY Yankees |
|---|---|---|---|
| Wk 3 | 74% | 76% | 78% |
| Wk 4 | 66% | 69% | 71% |
| Wk 5 | 73% | 75% | 77% |
| Wk 6 | 69% | 71% | 73% |
| Wk 7 | 69% | 72% | 74% |
| Wk 8 | 64% | 66% | 69% |
| Wk 9 | 60% | 63% | 65% |
| Wk 10 | 62% | 65% | 67% |
| Wk 11 | 60% | 63% | 65% |
| Wk 12 | 61% | 64% | 66% |
| Wk 13 | 62% | 64% | 67% |
| Wk 14 | 55% | 57% | 60% |
| Wk 15 | 52% | 55% | 58% |
| Wk 16 | 55% | 58% | 61% |
| Wk 17 | 55% | 57% | 60% |
| Wk 18 | 55% | 57% | 60% |
| Wk 19 | 54% | 57% | 59% |
| Wk 20 | 52% | 54% | 57% |
| Wk 21 | 52% | 55% | 57% |
| Wk 22 | 51% | 54% | 56% |
| Wk 23 | 51% | 54% | 56% |
| Wk 24 | 51% | 53% | 56% |
| Wk 25 | 51% | 54% | 57% |
| Wk 26 | 52% | 55% | 57% |
| Wk 27 | 52% | 54% | 57% |
| Wk 28 | 53% | 56% | 58% |
| Wk 29 | 53% | 55% | 58% |
| Wk 30 | 53% | 55% | 58% |
| Wk 31 | 53% | 55% | 58% |
| Wk 32 | 53% | 55% | 58% |
Philadelphia
New York
|
1-2 (33.3%) |
Head to Head |
2-1 (66.7%) |
|
89-76 (53.9%) |
Overall |
95-71 (57.2%) |
|
43-38 (53.1%) |
Home |
48-35 (57.8%) |
|
46-38 (54.8%) |
Away |
47-36 (56.6%) |
|
11-23 (32.4%) |
Versus Top 5 |
9-16 (36%) |
|
31-38 (44.9%) |
Versus > .500 Teams |
34-34 (50%) |
|
58-38 (60.4%) |
Versus < .500 Teams |
61-37 (62.2%) |
|
4-6 (40%) |
Last 10 Games |
5-5 (50%) |
Philadelphia
New York
| #1 Milwaukee | Best Win | #2 LA Dodgers |
| #30 Colorado | Worst Loss | #29 LA Angels |
| 12 runs vs #22 NY Mets | Largest MOV | 15 runs vs #9 Boston |
| 14 runs vs #26 Kansas City | Largest MOD | 10 runs vs #22 NY Mets |
Philadelphia
New York
| 4.4 | Runs per Game | 4.6 |
| 4.3 | Runs Against | 3.7 |
| 4.8 | Home RPG | 4.8 |
| 4.6 | Home RA | 4 |
| 4 | Away RPG | 4.3 |
| 4 | Away RA | 3.4 |
| 13648-13487 | Opponent Record | 13706-13672 |
| 14.7 | Avg Opponent Rank | 15.6 |
| L 10 | Longest Streak | W 8 |
| L 1 | Current Streak | L 3 |
Philadelphia
New York
| Oct 1 | at #4 Atlanta (97-72) | L2-6 | Oct 7 | vs #3 Tampa Bay (106-70) | L3-4 |
| Sep 30 | at #4 Atlanta (97-72) | W4-3 | Oct 5 | at #3 Tampa Bay (106-70) | L2-5 |
| Sep 29 | at #4 Atlanta (97-72) | L3-5 | Oct 3 | at #3 Tampa Bay (106-70) | L0-1 |
| Sep 27 | vs #3 Tampa Bay (106-70) | W7-3 | Sep 30 | vs Boston (87-77) | W9-2 |
| Sep 26 | vs #3 Tampa Bay (106-70) | L1-12 | Sep 29 | vs Boston (87-77) | W9-0 |
| Sep 25 | vs #3 Tampa Bay (106-70) | L0-2 | Sep 25 | vs Baltimore (79-82) | W6-3 |
| Sep 24 | vs #1 Milwaukee (114-61) | L1-5 | Sep 25 | vs Baltimore (79-82) | L2-10 |
| Sep 23 | vs #1 Milwaukee (114-61) | L1-4 | Sep 24 | vs #3 Tampa Bay (106-70) | W6-4 |
| Sep 22 | vs #1 Milwaukee (114-61) | W6-4 | Sep 23 | vs #3 Tampa Bay (106-70) | W9-2 |
| Sep 20 | at NY Mets (74-88) | W7-2 | Sep 22 | vs #3 Tampa Bay (106-70) | L1-6 |