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.
Baltimore
Philadelphia
|
80
B-
|
Overall |
90
A-
|
|
75
C
|
Power |
84
B
|
|
82
B-
6099
|
Offensive |
76
C
6099
|
|
Baltimore
6099
Philadelphia
6099
|
||
|
73
C-
6099
|
Defensive |
86
B
6099
|
|
Baltimore
6099
Philadelphia
6099
|
||
|
82
B-
|
SoS (Current) |
84
B
|
|
82
B-
|
SoS (Full Season) |
84
B
|
Baltimore
Philadelphia
| 15 | Overall | 8 |
| 19 | Power | 12 |
| 14 | Offensive | 18 |
| 20 | Defensive | 11 |
| 14 | SoS (Current) | 12 |
| 14 | SoS (Full Season) | 12 |
Wk 32 (Oct 30), 2026: Baltimore 51%, Philadelphia 49% at Baltimore.
Baltimore's win probability against Philadelphia has held at 46% over the last 6 weeks — this matchup has settled.
Baltimore's win probability against Philadelphia has held at 48% over the last 6 weeks — this matchup has settled.
Baltimore's win probability against Philadelphia has held at 51% over the last 6 weeks — this matchup has settled.
| Week | At Philadelphia | Neutral | At Baltimore |
|---|---|---|---|
| Wk 3 | 48% | 51% | 53% |
| Wk 4 | 61% | 64% | 66% |
| Wk 5 | 59% | 62% | 64% |
| Wk 6 | 50% | 53% | 55% |
| Wk 7 | 46% | 49% | 51% |
| Wk 8 | 45% | 47% | 50% |
| Wk 9 | 42% | 45% | 47% |
| Wk 10 | 44% | 47% | 49% |
| Wk 11 | 47% | 49% | 52% |
| Wk 12 | 48% | 50% | 53% |
| Wk 13 | 45% | 48% | 51% |
| Wk 14 | 44% | 46% | 49% |
| Wk 15 | 43% | 46% | 49% |
| Wk 16 | 47% | 49% | 52% |
| Wk 17 | 47% | 50% | 52% |
| Wk 18 | 48% | 50% | 53% |
| Wk 19 | 47% | 49% | 52% |
| Wk 20 | 44% | 47% | 49% |
| Wk 21 | 44% | 47% | 49% |
| Wk 22 | 43% | 46% | 48% |
| Wk 23 | 44% | 46% | 49% |
| Wk 24 | 44% | 47% | 49% |
| Wk 25 | 44% | 47% | 49% |
| Wk 26 | 44% | 47% | 49% |
| Wk 27 | 45% | 48% | 50% |
| Wk 28 | 46% | 48% | 51% |
| Wk 29 | 46% | 48% | 51% |
| Wk 30 | 46% | 48% | 51% |
| Wk 31 | 46% | 48% | 51% |
| Wk 32 | 46% | 48% | 51% |
Baltimore
Philadelphia
|
1-2 (33.3%) |
Head to Head |
2-1 (66.7%) |
|
78-82 (48.8%) |
Overall |
89-76 (53.9%) |
|
38-42 (47.5%) |
Home |
43-38 (53.1%) |
|
40-40 (50%) |
Away |
46-38 (54.8%) |
|
14-20 (41.2%) |
Versus Top 5 |
11-23 (32.4%) |
|
29-46 (38.7%) |
Versus > .500 Teams |
31-38 (44.9%) |
|
49-36 (57.6%) |
Versus < .500 Teams |
58-38 (60.4%) |
|
6-4 (60%) |
Last 10 Games |
4-6 (40%) |
Baltimore
Philadelphia
| #2 LA Dodgers | Best Win | #1 Milwaukee |
| #30 Colorado | Worst Loss | #30 Colorado |
| 12 runs vs #17 St. Louis | Largest MOV | 12 runs vs #22 NY Mets |
| 16 runs vs #9 Boston | Largest MOD | 14 runs vs #26 Kansas City |
Baltimore
Philadelphia
| 4.5 | Runs per Game | 4.4 |
| 4.6 | Runs Against | 4.3 |
| 4.2 | Home RPG | 4.8 |
| 4.4 | Home RA | 4.6 |
| 4.7 | Away RPG | 4 |
| 4.9 | Away RA | 4 |
| 13352-13072 | Opponent Record | 13648-13487 |
| 15.1 | Avg Opponent Rank | 14.7 |
| W 7 | Longest Streak | L 10 |
| L 1 | Current Streak | L 1 |
Baltimore
Philadelphia
| Sep 25 | at #5 NY Yankees (95-71) | L3-6 | Oct 1 | at #4 Atlanta (97-72) | L2-6 |
| Sep 25 | at #5 NY Yankees (95-71) | W10-2 | Sep 30 | at #4 Atlanta (97-72) | W4-3 |
| Sep 23 | vs Toronto (79-83) | W4-2 | Sep 29 | at #4 Atlanta (97-72) | L3-5 |
| Sep 21 | vs Toronto (79-83) | W4-3 | Sep 27 | vs #3 Tampa Bay (106-70) | W7-3 |
| Sep 20 | vs #1 Milwaukee (114-61) | L0-3 | Sep 26 | vs #3 Tampa Bay (106-70) | L1-12 |
| Sep 19 | vs #1 Milwaukee (114-61) | L0-1 | Sep 25 | vs #3 Tampa Bay (106-70) | L0-2 |
| Sep 18 | vs #1 Milwaukee (114-61) | L5-6 | Sep 24 | vs #1 Milwaukee (114-61) | L1-5 |
| Sep 16 | at NY Mets (74-88) | W7-1 | Sep 23 | vs #1 Milwaukee (114-61) | L1-4 |
| Sep 15 | at NY Mets (74-88) | W7-5 | Sep 22 | vs #1 Milwaukee (114-61) | W6-4 |
| Sep 14 | at NY Mets (74-88) | W2-1 | Sep 20 | at NY Mets (74-88) | W7-2 |