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 Diego
Tampa Bay
|
92
A-
|
Overall |
96
A
|
|
91
A-
|
Power |
92
A-
|
|
86
B
6099
|
Offensive |
88
B+
6099
|
|
San Diego
6099
Tampa Bay
6099
|
||
|
90
A-
6099
|
Defensive |
92
A-
6099
|
|
San Diego
6099
Tampa Bay
6099
|
||
|
80
B-
|
SoS (Current) |
76
C
|
|
80
B-
|
SoS (Full Season) |
76
C
|
San Diego
Tampa Bay
| 6 | Overall | 3 |
| 7 | Power | 6 |
| 11 | Offensive | 9 |
| 8 | Defensive | 6 |
| 15 | SoS (Current) | 18 |
| 15 | SoS (Full Season) | 18 |
Wk 32 (Oct 30), 2026: Tampa Bay 54%, San Diego 46% at Tampa Bay.
Tampa Bay's win probability against San Diego has held at 48% over the last 6 weeks — this matchup has settled.
Tampa Bay's win probability against San Diego has held at 51% over the last 6 weeks — this matchup has settled.
Tampa Bay's win probability against San Diego has held at 54% over the last 6 weeks — this matchup has settled.
| Week | At San Diego | Neutral | At Tampa Bay |
|---|---|---|---|
| Wk 3 | 43% | 46% | 48% |
| Wk 4 | 41% | 44% | 47% |
| Wk 5 | 43% | 46% | 48% |
| Wk 6 | 51% | 53% | 56% |
| Wk 7 | 54% | 57% | 59% |
| Wk 8 | 55% | 58% | 61% |
| Wk 9 | 55% | 58% | 60% |
| Wk 10 | 53% | 55% | 58% |
| Wk 11 | 51% | 54% | 57% |
| Wk 12 | 53% | 55% | 58% |
| Wk 13 | 51% | 54% | 56% |
| Wk 14 | 50% | 52% | 55% |
| Wk 15 | 55% | 58% | 60% |
| Wk 16 | 55% | 58% | 60% |
| Wk 17 | 53% | 56% | 59% |
| Wk 18 | 52% | 55% | 58% |
| Wk 19 | 51% | 54% | 56% |
| Wk 20 | 51% | 54% | 56% |
| Wk 21 | 50% | 53% | 55% |
| Wk 22 | 48% | 51% | 54% |
| Wk 23 | 49% | 52% | 54% |
| Wk 24 | 48% | 51% | 54% |
| Wk 25 | 49% | 51% | 54% |
| Wk 26 | 49% | 52% | 54% |
| Wk 27 | 49% | 52% | 54% |
| Wk 28 | 48% | 51% | 54% |
| Wk 29 | 49% | 51% | 54% |
| Wk 30 | 48% | 51% | 54% |
| Wk 31 | 49% | 52% | 54% |
| Wk 32 | 48% | 51% | 54% |
San Diego
Tampa Bay
|
0-3 (0%) |
Head to Head |
3-0 (100%) |
|
94-74 (56%) |
Overall |
106-70 (60.2%) |
|
54-31 (63.5%) |
Home |
60-29 (67.4%) |
|
40-43 (48.2%) |
Away |
46-41 (52.9%) |
|
16-20 (44.4%) |
Versus Top 5 |
14-16 (46.7%) |
|
34-44 (43.6%) |
Versus > .500 Teams |
44-32 (57.9%) |
|
60-30 (66.7%) |
Versus < .500 Teams |
62-38 (62%) |
|
6-4 (60%) |
Last 10 Games |
5-5 (50%) |
San Diego
Tampa Bay
| #1 Milwaukee | Best Win | #1 Milwaukee |
| #30 Colorado | Worst Loss | #29 LA Angels |
| 17 runs vs #26 Kansas City | Largest MOV | 11 runs vs #8 Philadelphia |
| 20 runs vs #7 Chi Cubs | Largest MOD | 11 runs vs #29 LA Angels |
San Diego
Tampa Bay
| 4.4 | Runs per Game | 4.4 |
| 4.1 | Runs Against | 4 |
| 4.3 | Home RPG | 4.5 |
| 3.7 | Home RA | 4 |
| 4.6 | Away RPG | 4.4 |
| 4.6 | Away RA | 4 |
| 13843-13807 | Opponent Record | 14562-14395 |
| 15.2 | Avg Opponent Rank | 15.2 |
| W 8 | Longest Streak | W 9 |
| L 1 | Current Streak | L 1 |
San Diego
Tampa Bay
| Oct 7 | vs #1 Milwaukee (114-61) | L1-3 | Oct 28 | vs #1 Milwaukee (114-61) | L1-4 |
| Oct 6 | vs #1 Milwaukee (114-61) | W4-3 | Oct 27 | vs #1 Milwaukee (114-61) | W4-3 |
| Oct 4 | at #1 Milwaukee (114-61) | L3-4 | Oct 26 | vs #1 Milwaukee (114-61) | L1-10 |
| Oct 3 | at #1 Milwaukee (114-61) | L2-3 | Oct 24 | at #1 Milwaukee (114-61) | L4-5 |
| Sep 30 | vs Chi Cubs (89-75) | W4-1 | Oct 23 | at #1 Milwaukee (114-61) | L2-3 |
| Sep 29 | vs Chi Cubs (89-75) | W8-0 | Oct 19 | vs Cleveland (90-83) | W7-3 |
| Sep 27 | vs Arizona (86-76) | W9-4 | Oct 18 | at Cleveland (90-83) | W3-1 |
| Sep 26 | vs Arizona (86-76) | W10-7 | Oct 17 | at Cleveland (90-83) | W7-3 |
| Sep 25 | vs Arizona (86-76) | L4-11 | Oct 15 | at Cleveland (90-83) | L2-3 |
| Sep 24 | at #2 LA Dodgers (103-67) | W4-2 | Oct 13 | vs Cleveland (90-83) | W3-1 |