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
Tampa Bay
|
90
A-
|
Overall |
96
A
|
|
84
B
|
Power |
92
A-
|
|
76
C
6099
|
Offensive |
88
B+
6099
|
|
Philadelphia
6099
Tampa Bay
6099
|
||
|
86
B
6099
|
Defensive |
92
A-
6099
|
|
Philadelphia
6099
Tampa Bay
6099
|
||
|
84
B
|
SoS (Current) |
76
C
|
|
84
B
|
SoS (Full Season) |
76
C
|
Philadelphia
Tampa Bay
| 8 | Overall | 3 |
| 12 | Power | 6 |
| 18 | Offensive | 9 |
| 11 | Defensive | 6 |
| 12 | SoS (Current) | 18 |
| 12 | SoS (Full Season) | 18 |
Wk 32 (Oct 30), 2026: Philadelphia 50%, Tampa Bay 50% at Philadelphia.
Philadelphia's win probability against Tampa Bay has held at 45% over the last 6 weeks — this matchup has settled.
Philadelphia's win probability against Tampa Bay has held at 47% over the last 6 weeks — this matchup has settled.
Philadelphia's win probability against Tampa Bay has held at 50% over the last 6 weeks — this matchup has settled.
| Week | At Tampa Bay | Neutral | At Philadelphia |
|---|---|---|---|
| Wk 3 | 40% | 43% | 46% |
| Wk 4 | 35% | 37% | 40% |
| Wk 5 | 35% | 37% | 40% |
| Wk 6 | 35% | 38% | 40% |
| Wk 7 | 35% | 38% | 40% |
| Wk 8 | 37% | 39% | 42% |
| Wk 9 | 36% | 38% | 41% |
| Wk 10 | 40% | 43% | 45% |
| Wk 11 | 44% | 47% | 50% |
| Wk 12 | 44% | 46% | 49% |
| Wk 13 | 45% | 47% | 50% |
| Wk 14 | 47% | 49% | 52% |
| Wk 15 | 45% | 47% | 50% |
| Wk 16 | 42% | 45% | 47% |
| Wk 17 | 44% | 47% | 49% |
| Wk 18 | 43% | 46% | 48% |
| Wk 19 | 44% | 46% | 49% |
| Wk 20 | 45% | 48% | 51% |
| Wk 21 | 44% | 47% | 50% |
| Wk 22 | 47% | 50% | 52% |
| Wk 23 | 47% | 49% | 52% |
| Wk 24 | 48% | 50% | 53% |
| Wk 25 | 47% | 50% | 52% |
| Wk 26 | 46% | 48% | 51% |
| Wk 27 | 45% | 48% | 51% |
| Wk 28 | 44% | 47% | 50% |
| Wk 29 | 44% | 47% | 49% |
| Wk 30 | 44% | 47% | 50% |
| Wk 31 | 44% | 47% | 49% |
| Wk 32 | 45% | 47% | 50% |
Philadelphia
Tampa Bay
|
1-2 (33.3%) |
Head to Head |
2-1 (66.7%) |
|
89-76 (53.9%) |
Overall |
106-70 (60.2%) |
|
43-38 (53.1%) |
Home |
60-29 (67.4%) |
|
46-38 (54.8%) |
Away |
46-41 (52.9%) |
|
11-23 (32.4%) |
Versus Top 5 |
14-16 (46.7%) |
|
31-38 (44.9%) |
Versus > .500 Teams |
44-32 (57.9%) |
|
58-38 (60.4%) |
Versus < .500 Teams |
62-38 (62%) |
|
4-6 (40%) |
Last 10 Games |
5-5 (50%) |
Philadelphia
Tampa Bay
| #1 Milwaukee | Best Win | #1 Milwaukee |
| #30 Colorado | Worst Loss | #29 LA Angels |
| 12 runs vs #22 NY Mets | Largest MOV | 11 runs vs #8 Philadelphia |
| 14 runs vs #26 Kansas City | Largest MOD | 11 runs vs #29 LA Angels |
Philadelphia
Tampa Bay
| 4.4 | Runs per Game | 4.4 |
| 4.3 | Runs Against | 4 |
| 4.8 | Home RPG | 4.5 |
| 4.6 | Home RA | 4 |
| 4 | Away RPG | 4.4 |
| 4 | Away RA | 4 |
| 13648-13487 | Opponent Record | 14562-14395 |
| 14.7 | Avg Opponent Rank | 15.2 |
| L 10 | Longest Streak | W 9 |
| L 1 | Current Streak | L 1 |
Philadelphia
Tampa Bay
| Oct 1 | at #4 Atlanta (97-72) | L2-6 | Oct 28 | vs #1 Milwaukee (114-61) | L1-4 |
| Sep 30 | at #4 Atlanta (97-72) | W4-3 | Oct 27 | vs #1 Milwaukee (114-61) | W4-3 |
| Sep 29 | at #4 Atlanta (97-72) | L3-5 | Oct 26 | vs #1 Milwaukee (114-61) | L1-10 |
| Sep 27 | vs #3 Tampa Bay (106-70) | W7-3 | Oct 24 | at #1 Milwaukee (114-61) | L4-5 |
| Sep 26 | vs #3 Tampa Bay (106-70) | L1-12 | Oct 23 | at #1 Milwaukee (114-61) | L2-3 |
| Sep 25 | vs #3 Tampa Bay (106-70) | L0-2 | Oct 19 | vs Cleveland (90-83) | W7-3 |
| Sep 24 | vs #1 Milwaukee (114-61) | L1-5 | Oct 18 | at Cleveland (90-83) | W3-1 |
| Sep 23 | vs #1 Milwaukee (114-61) | L1-4 | Oct 17 | at Cleveland (90-83) | W7-3 |
| Sep 22 | vs #1 Milwaukee (114-61) | W6-4 | Oct 15 | at Cleveland (90-83) | L2-3 |
| Sep 20 | at NY Mets (74-88) | W7-2 | Oct 13 | vs Cleveland (90-83) | W3-1 |