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.
Seattle
Tampa Bay
|
67
D+
|
Overall |
96
A
|
|
67
D+
|
Power |
92
A-
|
|
61
D-
6099
|
Offensive |
88
B+
6099
|
|
Seattle
6099
Tampa Bay
6099
|
||
|
72
C-
6099
|
Defensive |
92
A-
6099
|
|
Seattle
6099
Tampa Bay
6099
|
||
|
64
D
|
SoS (Current) |
76
C
|
|
64
D
|
SoS (Full Season) |
76
C
|
Seattle
Tampa Bay
| 25 | Overall | 3 |
| 25 | Power | 6 |
| 29 | Offensive | 9 |
| 21 | Defensive | 6 |
| 27 | SoS (Current) | 18 |
| 27 | SoS (Full Season) | 18 |
Wk 32 (Oct 30), 2026: Tampa Bay 60%, Seattle 40% at Tampa Bay.
Tampa Bay's win probability against Seattle has held at 55% over the last 6 weeks — this matchup has settled.
Tampa Bay's win probability against Seattle has held at 58% over the last 6 weeks — this matchup has settled.
Tampa Bay's win probability against Seattle has held at 60% over the last 6 weeks — this matchup has settled.
| Week | At Seattle | Neutral | At Tampa Bay |
|---|---|---|---|
| Wk 3 | 34% | 37% | 39% |
| Wk 4 | 43% | 45% | 48% |
| Wk 5 | 44% | 47% | 49% |
| Wk 6 | 48% | 51% | 54% |
| Wk 7 | 49% | 52% | 55% |
| Wk 8 | 51% | 54% | 57% |
| Wk 9 | 54% | 57% | 60% |
| Wk 10 | 50% | 52% | 55% |
| Wk 11 | 46% | 48% | 51% |
| Wk 12 | 45% | 48% | 51% |
| Wk 13 | 48% | 51% | 53% |
| Wk 14 | 51% | 54% | 56% |
| Wk 15 | 53% | 55% | 58% |
| Wk 16 | 51% | 54% | 57% |
| Wk 17 | 51% | 53% | 56% |
| Wk 18 | 51% | 54% | 57% |
| Wk 19 | 52% | 55% | 57% |
| Wk 20 | 53% | 56% | 59% |
| Wk 21 | 55% | 58% | 60% |
| Wk 22 | 54% | 57% | 59% |
| Wk 23 | 56% | 58% | 61% |
| Wk 24 | 54% | 56% | 59% |
| Wk 25 | 55% | 57% | 60% |
| Wk 26 | 54% | 57% | 60% |
| Wk 27 | 55% | 58% | 60% |
| Wk 28 | 55% | 58% | 60% |
| Wk 29 | 55% | 58% | 61% |
| Wk 30 | 55% | 58% | 60% |
| Wk 31 | 55% | 58% | 61% |
| Wk 32 | 55% | 58% | 60% |
Seattle
Tampa Bay
|
1-5 (16.7%) |
Head to Head |
5-1 (83.3%) |
|
76-86 (46.9%) |
Overall |
106-70 (60.2%) |
|
43-38 (53.1%) |
Home |
60-29 (67.4%) |
|
33-48 (40.7%) |
Away |
46-41 (52.9%) |
|
7-14 (33.3%) |
Versus Top 5 |
14-16 (46.7%) |
|
24-34 (41.4%) |
Versus > .500 Teams |
44-32 (57.9%) |
|
52-52 (50%) |
Versus < .500 Teams |
62-38 (62%) |
|
6-4 (60%) |
Last 10 Games |
5-5 (50%) |
Seattle
Tampa Bay
| #1 Milwaukee | Best Win | #1 Milwaukee |
| #30 Colorado | Worst Loss | #29 LA Angels |
| 18 runs vs #28 Athletics | Largest MOV | 11 runs vs #8 Philadelphia |
| 22 runs vs #1 Milwaukee | Largest MOD | 11 runs vs #29 LA Angels |
Seattle
Tampa Bay
| 4.1 | Runs per Game | 4.4 |
| 4.5 | Runs Against | 4 |
| 3.9 | Home RPG | 4.5 |
| 4 | Home RA | 4 |
| 4.3 | Away RPG | 4.4 |
| 4.9 | Away RA | 4 |
| 13038-13599 | Opponent Record | 14562-14395 |
| 17.1 | Avg Opponent Rank | 15.2 |
| W 8 | Longest Streak | W 9 |
| W 2 | Current Streak | L 1 |
Seattle
Tampa Bay
| Sep 27 | vs LA Angels (62-100) | W7-3 | Oct 28 | vs #1 Milwaukee (114-61) | L1-4 |
| Sep 26 | vs LA Angels (62-100) | W8-4 | Oct 27 | vs #1 Milwaukee (114-61) | W4-3 |
| Sep 25 | vs LA Angels (62-100) | L5-7 | Oct 26 | vs #1 Milwaukee (114-61) | L1-10 |
| Sep 24 | vs LA Angels (62-100) | L4-6 | Oct 24 | at #1 Milwaukee (114-61) | L4-5 |
| Sep 23 | vs Houston (81-83) | W6-5 | Oct 23 | at #1 Milwaukee (114-61) | L2-3 |
| Sep 22 | vs Houston (81-83) | L0-7 | Oct 19 | vs Cleveland (90-83) | W7-3 |
| Sep 20 | at Colorado (58-104) | W2-1 | Oct 18 | at Cleveland (90-83) | W3-1 |
| Sep 19 | at Colorado (58-104) | L3-5 | Oct 17 | at Cleveland (90-83) | W7-3 |
| Sep 18 | at Colorado (58-104) | W5-4 | Oct 15 | at Cleveland (90-83) | L2-3 |
| Sep 16 | at LA Angels (62-100) | W7-2 | Oct 13 | vs Cleveland (90-83) | W3-1 |