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
San Diego
|
90
A-
|
Overall |
92
A-
|
|
84
B
|
Power |
91
A-
|
|
76
C
6099
|
Offensive |
86
B
6099
|
|
Philadelphia
6099
San Diego
6099
|
||
|
86
B
6099
|
Defensive |
90
A-
6099
|
|
Philadelphia
6099
San Diego
6099
|
||
|
84
B
|
SoS (Current) |
80
B-
|
|
84
B
|
SoS (Full Season) |
80
B-
|
Philadelphia
San Diego
| 8 | Overall | 6 |
| 12 | Power | 7 |
| 18 | Offensive | 11 |
| 11 | Defensive | 8 |
| 12 | SoS (Current) | 15 |
| 12 | SoS (Full Season) | 15 |
Wk 32 (Oct 30), 2026: Philadelphia 51%, San Diego 49% at Philadelphia.
Philadelphia's win probability against San Diego has held at 46% over the last 6 weeks — this matchup has settled.
Philadelphia's win probability against San Diego has held at 48% over the last 6 weeks — this matchup has settled.
Philadelphia's win probability against San Diego has held at 51% over the last 6 weeks — this matchup has settled.
| Week | At San Diego | Neutral | At Philadelphia |
|---|---|---|---|
| Wk 3 | 36% | 39% | 41% |
| Wk 4 | 29% | 32% | 34% |
| Wk 5 | 31% | 33% | 36% |
| Wk 6 | 38% | 41% | 44% |
| Wk 7 | 41% | 44% | 47% |
| Wk 8 | 45% | 47% | 50% |
| Wk 9 | 43% | 46% | 48% |
| Wk 10 | 45% | 48% | 51% |
| Wk 11 | 48% | 51% | 54% |
| Wk 12 | 49% | 52% | 54% |
| Wk 13 | 48% | 51% | 54% |
| Wk 14 | 49% | 52% | 54% |
| Wk 15 | 53% | 55% | 58% |
| Wk 16 | 50% | 52% | 55% |
| Wk 17 | 50% | 53% | 55% |
| Wk 18 | 48% | 51% | 53% |
| Wk 19 | 47% | 50% | 52% |
| Wk 20 | 49% | 52% | 54% |
| Wk 21 | 47% | 50% | 52% |
| Wk 22 | 48% | 51% | 54% |
| Wk 23 | 48% | 51% | 54% |
| Wk 24 | 49% | 51% | 54% |
| Wk 25 | 48% | 51% | 53% |
| Wk 26 | 47% | 50% | 53% |
| Wk 27 | 47% | 50% | 52% |
| Wk 28 | 45% | 48% | 51% |
| Wk 29 | 45% | 48% | 51% |
| Wk 30 | 46% | 48% | 51% |
| Wk 31 | 46% | 48% | 51% |
| Wk 32 | 46% | 48% | 51% |
Philadelphia
San Diego
|
6-0 (100%) |
Head to Head |
0-6 (0%) |
|
89-76 (53.9%) |
Overall |
94-74 (56%) |
|
43-38 (53.1%) |
Home |
54-31 (63.5%) |
|
46-38 (54.8%) |
Away |
40-43 (48.2%) |
|
11-23 (32.4%) |
Versus Top 5 |
16-20 (44.4%) |
|
31-38 (44.9%) |
Versus > .500 Teams |
34-44 (43.6%) |
|
58-38 (60.4%) |
Versus < .500 Teams |
60-30 (66.7%) |
|
4-6 (40%) |
Last 10 Games |
6-4 (60%) |
Philadelphia
San Diego
| #1 Milwaukee | Best Win | #1 Milwaukee |
| #30 Colorado | Worst Loss | #30 Colorado |
| 12 runs vs #22 NY Mets | Largest MOV | 17 runs vs #26 Kansas City |
| 14 runs vs #26 Kansas City | Largest MOD | 20 runs vs #7 Chi Cubs |
Philadelphia
San Diego
| 4.4 | Runs per Game | 4.4 |
| 4.3 | Runs Against | 4.1 |
| 4.8 | Home RPG | 4.3 |
| 4.6 | Home RA | 3.7 |
| 4 | Away RPG | 4.6 |
| 4 | Away RA | 4.6 |
| 13648-13487 | Opponent Record | 13843-13807 |
| 14.7 | Avg Opponent Rank | 15.2 |
| L 10 | Longest Streak | W 8 |
| L 1 | Current Streak | L 1 |
Philadelphia
San Diego
| Oct 1 | at #4 Atlanta (97-72) | L2-6 | Oct 7 | vs #1 Milwaukee (114-61) | L1-3 |
| Sep 30 | at #4 Atlanta (97-72) | W4-3 | Oct 6 | vs #1 Milwaukee (114-61) | W4-3 |
| Sep 29 | at #4 Atlanta (97-72) | L3-5 | Oct 4 | at #1 Milwaukee (114-61) | L3-4 |
| Sep 27 | vs #3 Tampa Bay (106-70) | W7-3 | Oct 3 | at #1 Milwaukee (114-61) | L2-3 |
| Sep 26 | vs #3 Tampa Bay (106-70) | L1-12 | Sep 30 | vs Chi Cubs (89-75) | W4-1 |
| Sep 25 | vs #3 Tampa Bay (106-70) | L0-2 | Sep 29 | vs Chi Cubs (89-75) | W8-0 |
| Sep 24 | vs #1 Milwaukee (114-61) | L1-5 | Sep 27 | vs Arizona (86-76) | W9-4 |
| Sep 23 | vs #1 Milwaukee (114-61) | L1-4 | Sep 26 | vs Arizona (86-76) | W10-7 |
| Sep 22 | vs #1 Milwaukee (114-61) | W6-4 | Sep 25 | vs Arizona (86-76) | L4-11 |
| Sep 20 | at NY Mets (74-88) | W7-2 | Sep 24 | at #2 LA Dodgers (103-67) | W4-2 |