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.
New York
Tampa Bay
|
71
C-
|
Overall |
96
A
|
|
77
C+
|
Power |
92
A-
|
|
75
C
6099
|
Offensive |
88
B+
6099
|
|
New York
6099
Tampa Bay
6099
|
||
|
77
C+
6099
|
Defensive |
92
A-
6099
|
|
New York
6099
Tampa Bay
6099
|
||
|
98
A+
|
SoS (Current) |
76
C
|
|
98
A+
|
SoS (Full Season) |
76
C
|
New York
Tampa Bay
| 22 | Overall | 3 |
| 17 | Power | 6 |
| 19 | Offensive | 9 |
| 17 | Defensive | 6 |
| 2 | SoS (Current) | 18 |
| 2 | SoS (Full Season) | 18 |
Wk 32 (Oct 30), 2026: Tampa Bay 57%, NY Mets 43% at Tampa Bay.
Tampa Bay's win probability against NY Mets has held at 52% over the last 6 weeks — this matchup has settled.
Tampa Bay's win probability against NY Mets has held at 54% over the last 6 weeks — this matchup has settled.
Tampa Bay's win probability against NY Mets has held at 57% over the last 6 weeks — this matchup has settled.
| Week | At NY Mets | Neutral | At Tampa Bay |
|---|---|---|---|
| Wk 3 | 41% | 43% | 46% |
| Wk 4 | 54% | 56% | 59% |
| Wk 5 | 54% | 56% | 59% |
| Wk 6 | 59% | 62% | 64% |
| Wk 7 | 58% | 61% | 63% |
| Wk 8 | 58% | 61% | 63% |
| Wk 9 | 59% | 61% | 64% |
| Wk 10 | 57% | 59% | 62% |
| Wk 11 | 50% | 52% | 55% |
| Wk 12 | 51% | 54% | 56% |
| Wk 13 | 51% | 53% | 56% |
| Wk 14 | 55% | 58% | 61% |
| Wk 15 | 57% | 59% | 62% |
| Wk 16 | 57% | 59% | 62% |
| Wk 17 | 55% | 58% | 60% |
| Wk 18 | 56% | 59% | 61% |
| Wk 19 | 54% | 56% | 59% |
| Wk 20 | 52% | 55% | 58% |
| Wk 21 | 53% | 55% | 58% |
| Wk 22 | 51% | 54% | 56% |
| Wk 23 | 52% | 55% | 57% |
| Wk 24 | 51% | 53% | 56% |
| Wk 25 | 51% | 54% | 56% |
| Wk 26 | 52% | 55% | 57% |
| Wk 27 | 52% | 54% | 57% |
| Wk 28 | 52% | 54% | 57% |
| Wk 29 | 52% | 55% | 57% |
| Wk 30 | 52% | 54% | 57% |
| Wk 31 | 52% | 55% | 58% |
| Wk 32 | 52% | 54% | 57% |
New York
Tampa Bay
|
2-1 (66.7%) |
Head to Head |
1-2 (33.3%) |
|
74-88 (45.7%) |
Overall |
106-70 (60.2%) |
|
36-45 (44.4%) |
Home |
60-29 (67.4%) |
|
38-43 (46.9%) |
Away |
46-41 (52.9%) |
|
15-19 (44.1%) |
Versus Top 5 |
14-16 (46.7%) |
|
35-46 (43.2%) |
Versus > .500 Teams |
44-32 (57.9%) |
|
39-42 (48.1%) |
Versus < .500 Teams |
62-38 (62%) |
|
5-5 (50%) |
Last 10 Games |
5-5 (50%) |
New York
Tampa Bay
| #1 Milwaukee | Best Win | #1 Milwaukee |
| #30 Colorado | Worst Loss | #29 LA Angels |
| 11 runs vs #4 Atlanta | Largest MOV | 11 runs vs #8 Philadelphia |
| 12 runs vs #8 Philadelphia | Largest MOD | 11 runs vs #29 LA Angels |
New York
Tampa Bay
| 4.3 | Runs per Game | 4.4 |
| 4.5 | Runs Against | 4 |
| 4.1 | Home RPG | 4.5 |
| 4.5 | Home RA | 4 |
| 4.5 | Away RPG | 4.4 |
| 4.5 | Away RA | 4 |
| 13583-13096 | Opponent Record | 14562-14395 |
| 13.6 | Avg Opponent Rank | 15.2 |
| L 12 | Longest Streak | W 9 |
| L 1 | Current Streak | L 1 |
New York
Tampa Bay
| Sep 27 | at Washington (77-85) | L4-6 | Oct 28 | vs #1 Milwaukee (114-61) | L1-4 |
| Sep 26 | at Washington (77-85) | W7-1 | Oct 27 | vs #1 Milwaukee (114-61) | W4-3 |
| Sep 25 | at Washington (77-85) | L6-7 | Oct 26 | vs #1 Milwaukee (114-61) | L1-10 |
| Sep 24 | at Texas (80-82) | L1-3 | Oct 24 | at #1 Milwaukee (114-61) | L4-5 |
| Sep 23 | at Texas (80-82) | W7-2 | Oct 23 | at #1 Milwaukee (114-61) | L2-3 |
| Sep 22 | at Texas (80-82) | W6-3 | Oct 19 | vs Cleveland (90-83) | W7-3 |
| Sep 20 | vs Philadelphia (89-76) | L2-7 | Oct 18 | at Cleveland (90-83) | W3-1 |
| Sep 19 | vs Philadelphia (89-76) | W10-3 | Oct 17 | at Cleveland (90-83) | W7-3 |
| Sep 18 | vs Philadelphia (89-76) | W6-3 | Oct 15 | at Cleveland (90-83) | L2-3 |
| Sep 17 | vs Philadelphia (89-76) | L0-3 | Oct 13 | vs Cleveland (90-83) | W3-1 |