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.
Pittsburgh
Tampa Bay
|
86
B
|
Overall |
96
A
|
|
86
B
|
Power |
92
A-
|
|
92
A-
6099
|
Offensive |
88
B+
6099
|
|
Pittsburgh
6099
Tampa Bay
6099
|
||
|
80
B-
6099
|
Defensive |
92
A-
6099
|
|
Pittsburgh
6099
Tampa Bay
6099
|
||
|
88
B+
|
SoS (Current) |
76
C
|
|
88
B+
|
SoS (Full Season) |
76
C
|
Pittsburgh
Tampa Bay
| 11 | Overall | 3 |
| 11 | Power | 6 |
| 6 | Offensive | 9 |
| 15 | Defensive | 6 |
| 9 | SoS (Current) | 18 |
| 9 | SoS (Full Season) | 18 |
Wk 32 (Oct 31), 2026: Pittsburgh 51%, Tampa Bay 49% at Pittsburgh.
Pittsburgh's win probability against Tampa Bay has held at 45% over the last 6 weeks — this matchup has settled.
Pittsburgh's win probability against Tampa Bay has held at 48% over the last 6 weeks — this matchup has settled.
Pittsburgh's win probability against Tampa Bay has held at 51% over the last 6 weeks — this matchup has settled.
| Week | At Tampa Bay | Neutral | At Pittsburgh |
|---|---|---|---|
| Wk 3 | 54% | 56% | 59% |
| Wk 4 | 59% | 62% | 64% |
| Wk 5 | 58% | 60% | 63% |
| Wk 6 | 50% | 53% | 56% |
| Wk 7 | 47% | 50% | 52% |
| Wk 8 | 46% | 49% | 51% |
| Wk 9 | 42% | 45% | 47% |
| Wk 10 | 46% | 48% | 51% |
| Wk 11 | 50% | 53% | 55% |
| Wk 12 | 47% | 50% | 52% |
| Wk 13 | 47% | 49% | 52% |
| Wk 14 | 47% | 50% | 52% |
| Wk 15 | 45% | 48% | 50% |
| Wk 16 | 46% | 49% | 52% |
| Wk 17 | 49% | 52% | 55% |
| Wk 18 | 49% | 51% | 54% |
| Wk 19 | 47% | 50% | 53% |
| Wk 20 | 46% | 49% | 52% |
| Wk 21 | 46% | 49% | 51% |
| Wk 22 | 48% | 51% | 53% |
| Wk 23 | 47% | 49% | 52% |
| Wk 24 | 47% | 50% | 53% |
| Wk 25 | 46% | 49% | 52% |
| Wk 26 | 46% | 48% | 51% |
| Wk 27 | 46% | 48% | 51% |
| Wk 28 | 45% | 48% | 51% |
| Wk 29 | 45% | 48% | 50% |
| Wk 30 | 45% | 48% | 51% |
| Wk 31 | 45% | 48% | 50% |
| Wk 32 | 45% | 48% | 51% |
Pittsburgh
Tampa Bay
|
2-1 (66.7%) |
Head to Head |
1-2 (33.3%) |
|
82-80 (50.6%) |
Overall |
106-70 (60.2%) |
|
44-37 (54.3%) |
Home |
60-29 (67.4%) |
|
38-43 (46.9%) |
Away |
46-41 (52.9%) |
|
12-19 (38.7%) |
Versus Top 5 |
14-16 (46.7%) |
|
33-39 (45.8%) |
Versus > .500 Teams |
44-32 (57.9%) |
|
49-41 (54.4%) |
Versus < .500 Teams |
62-38 (62%) |
|
7-3 (70%) |
Last 10 Games |
5-5 (50%) |
Pittsburgh
Tampa Bay
| #1 Milwaukee | Best Win | #1 Milwaukee |
| #30 Colorado | Worst Loss | #29 LA Angels |
| 12 runs vs #14 Miami | Largest MOV | 11 runs vs #8 Philadelphia |
| 11 runs vs #7 Chi Cubs | Largest MOD | 11 runs vs #29 LA Angels |
Pittsburgh
Tampa Bay
| 4.7 | Runs per Game | 4.4 |
| 4.6 | Runs Against | 4 |
| 5.1 | Home RPG | 4.5 |
| 4.8 | Home RA | 4 |
| 4.4 | Away RPG | 4.4 |
| 4.3 | Away RA | 4 |
| 13574-13129 | Opponent Record | 14562-14395 |
| 14.4 | Avg Opponent Rank | 15.2 |
| W 5 | Longest Streak | W 9 |
| W 1 | Current Streak | L 1 |
Pittsburgh
Tampa Bay
| Sep 27 | at Detroit (76-86) | W4-2 | Oct 28 | vs #1 Milwaukee (114-61) | L1-4 |
| Sep 26 | at Detroit (76-86) | L3-4 | Oct 27 | vs #1 Milwaukee (114-61) | W4-3 |
| Sep 25 | at Detroit (76-86) | L7-8 | Oct 26 | vs #1 Milwaukee (114-61) | L1-10 |
| Sep 24 | vs St. Louis (77-85) | W2-1 | Oct 24 | at #1 Milwaukee (114-61) | L4-5 |
| Sep 23 | vs St. Louis (77-85) | L1-5 | Oct 23 | at #1 Milwaukee (114-61) | L2-3 |
| Sep 22 | vs St. Louis (77-85) | W2-0 | Oct 19 | vs Cleveland (90-83) | W7-3 |
| Sep 20 | vs Kansas City (69-93) | W4-3 | Oct 18 | at Cleveland (90-83) | W3-1 |
| Sep 19 | vs Kansas City (69-93) | W6-5 | Oct 17 | at Cleveland (90-83) | W7-3 |
| Sep 18 | vs Kansas City (69-93) | W8-5 | Oct 15 | at Cleveland (90-83) | L2-3 |
| Sep 17 | vs #1 Milwaukee (114-61) | W7-4 | Oct 13 | vs Cleveland (90-83) | W3-1 |