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.
San Francisco
Philadelphia
|
64
D
|
Overall |
90
A-
|
|
68
D+
|
Power |
84
B
|
|
68
D+
6099
|
Offensive |
76
C
6099
|
|
San Francisco
6099
Philadelphia
6099
|
||
|
71
C-
6099
|
Defensive |
86
B
6099
|
|
San Francisco
6099
Philadelphia
6099
|
||
|
94
A
|
SoS (Current) |
84
B
|
|
94
A
|
SoS (Full Season) |
84
B
|
San Francisco
Philadelphia
| 27 | Overall | 8 |
| 24 | Power | 12 |
| 24 | Offensive | 18 |
| 22 | Defensive | 11 |
| 5 | SoS (Current) | 12 |
| 5 | SoS (Full Season) | 12 |
Wk 32 (Oct 30), 2026: Philadelphia 52%, San Francisco 48% at San Francisco.
Philadelphia's win probability against San Francisco has held at 52% over the last 6 weeks — this matchup has settled.
Philadelphia's win probability against San Francisco has held at 55% over the last 6 weeks — this matchup has settled.
Philadelphia's win probability against San Francisco has held at 57% over the last 6 weeks — this matchup has settled.
| Week | At San Francisco | Neutral | At Philadelphia |
|---|---|---|---|
| Wk 3 | 43% | 46% | 48% |
| Wk 4 | 44% | 47% | 49% |
| Wk 5 | 41% | 44% | 47% |
| Wk 6 | 47% | 49% | 52% |
| Wk 7 | 49% | 52% | 54% |
| Wk 8 | 51% | 54% | 56% |
| Wk 9 | 52% | 54% | 57% |
| Wk 10 | 52% | 54% | 57% |
| Wk 11 | 50% | 52% | 55% |
| Wk 12 | 50% | 53% | 56% |
| Wk 13 | 49% | 52% | 55% |
| Wk 14 | 53% | 56% | 58% |
| Wk 15 | 54% | 57% | 59% |
| Wk 16 | 51% | 54% | 57% |
| Wk 17 | 51% | 54% | 56% |
| Wk 18 | 51% | 54% | 57% |
| Wk 19 | 50% | 53% | 55% |
| Wk 20 | 52% | 55% | 57% |
| Wk 21 | 53% | 55% | 58% |
| Wk 22 | 55% | 57% | 60% |
| Wk 23 | 54% | 57% | 59% |
| Wk 24 | 53% | 56% | 59% |
| Wk 25 | 53% | 56% | 58% |
| Wk 26 | 53% | 55% | 58% |
| Wk 27 | 53% | 55% | 58% |
| Wk 28 | 52% | 55% | 57% |
| Wk 29 | 52% | 55% | 57% |
| Wk 30 | 52% | 55% | 57% |
| Wk 31 | 52% | 55% | 57% |
| Wk 32 | 52% | 55% | 57% |
San Francisco
Philadelphia
|
2-4 (33.3%) |
Head to Head |
4-2 (66.7%) |
|
65-97 (40.1%) |
Overall |
89-76 (53.9%) |
|
37-44 (45.7%) |
Home |
43-38 (53.1%) |
|
28-53 (34.6%) |
Away |
46-38 (54.8%) |
|
13-19 (40.6%) |
Versus Top 5 |
11-23 (32.4%) |
|
31-54 (36.5%) |
Versus > .500 Teams |
31-38 (44.9%) |
|
34-43 (44.2%) |
Versus < .500 Teams |
58-38 (60.4%) |
|
2-8 (20%) |
Last 10 Games |
4-6 (40%) |
San Francisco
Philadelphia
| #1 Milwaukee | Best Win | #1 Milwaukee |
| #30 Colorado | Worst Loss | #30 Colorado |
| 15 runs vs #7 Chi Cubs | Largest MOV | 12 runs vs #22 NY Mets |
| 14 runs vs #1 Milwaukee | Largest MOD | 14 runs vs #26 Kansas City |
San Francisco
Philadelphia
| 4.1 | Runs per Game | 4.4 |
| 4.7 | Runs Against | 4.3 |
| 4.1 | Home RPG | 4.8 |
| 4.4 | Home RA | 4.6 |
| 4.2 | Away RPG | 4 |
| 5 | Away RA | 4 |
| 13564-13142 | Opponent Record | 13648-13487 |
| 14 | Avg Opponent Rank | 14.7 |
| L 6 | Longest Streak | L 10 |
| L 5 | Current Streak | L 1 |
San Francisco
Philadelphia
| Sep 27 | vs #2 LA Dodgers (103-67) | L1-5 | Oct 1 | at #4 Atlanta (97-72) | L2-6 |
| Sep 26 | vs #2 LA Dodgers (103-67) | L3-4 | Sep 30 | at #4 Atlanta (97-72) | W4-3 |
| Sep 25 | vs #2 LA Dodgers (103-67) | L0-2 | Sep 29 | at #4 Atlanta (97-72) | L3-5 |
| Sep 23 | vs Minnesota (77-85) | L2-4 | Sep 27 | vs #3 Tampa Bay (106-70) | W7-3 |
| Sep 22 | vs Minnesota (77-85) | L2-3 | Sep 26 | vs #3 Tampa Bay (106-70) | L1-12 |
| Sep 21 | vs Minnesota (77-85) | W5-2 | Sep 25 | vs #3 Tampa Bay (106-70) | L0-2 |
| Sep 20 | at #2 LA Dodgers (103-67) | L1-3 | Sep 24 | vs #1 Milwaukee (114-61) | L1-5 |
| Sep 19 | at #2 LA Dodgers (103-67) | L4-10 | Sep 23 | vs #1 Milwaukee (114-61) | L1-4 |
| Sep 18 | at #2 LA Dodgers (103-67) | L2-8 | Sep 22 | vs #1 Milwaukee (114-61) | W6-4 |
| Sep 16 | at St. Louis (77-85) | W6-5 | Sep 20 | at NY Mets (74-88) | W7-2 |