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
|
94
A
|
Overall |
96
A
|
|
95
A
|
Power |
92
A-
|
|
91
A-
6099
|
Offensive |
88
B+
6099
|
|
New York
6099
Tampa Bay
6099
|
||
|
96
A
6099
|
Defensive |
92
A-
6099
|
|
New York
6099
Tampa Bay
6099
|
||
|
73
C-
|
SoS (Current) |
76
C
|
|
73
C-
|
SoS (Full Season) |
76
C
|
New York
Tampa Bay
| 5 | Overall | 3 |
| 4 | Power | 6 |
| 7 | Offensive | 9 |
| 3 | Defensive | 6 |
| 20 | SoS (Current) | 18 |
| 20 | SoS (Full Season) | 18 |
Wk 32 (Oct 30), 2026: NY Yankees 55%, Tampa Bay 45% at NY Yankees.
NY Yankees' win probability against Tampa Bay has held at 50% over the last 6 weeks — this matchup has settled.
NY Yankees' win probability against Tampa Bay has held at 53% over the last 6 weeks — this matchup has settled.
NY Yankees' win probability against Tampa Bay has held at 55% over the last 6 weeks — this matchup has settled.
| Week | At Tampa Bay | Neutral | At NY Yankees |
|---|---|---|---|
| Wk 3 | 68% | 71% | 73% |
| Wk 4 | 54% | 56% | 59% |
| Wk 5 | 61% | 64% | 66% |
| Wk 6 | 57% | 59% | 62% |
| Wk 7 | 58% | 60% | 63% |
| Wk 8 | 53% | 56% | 58% |
| Wk 9 | 48% | 51% | 53% |
| Wk 10 | 55% | 58% | 60% |
| Wk 11 | 57% | 60% | 62% |
| Wk 12 | 58% | 60% | 63% |
| Wk 13 | 59% | 62% | 64% |
| Wk 14 | 54% | 57% | 59% |
| Wk 15 | 50% | 53% | 55% |
| Wk 16 | 50% | 53% | 55% |
| Wk 17 | 52% | 54% | 57% |
| Wk 18 | 50% | 53% | 55% |
| Wk 19 | 50% | 53% | 56% |
| Wk 20 | 50% | 52% | 55% |
| Wk 21 | 49% | 52% | 54% |
| Wk 22 | 51% | 54% | 56% |
| Wk 23 | 50% | 53% | 56% |
| Wk 24 | 51% | 54% | 56% |
| Wk 25 | 51% | 54% | 56% |
| Wk 26 | 50% | 53% | 56% |
| Wk 27 | 50% | 52% | 55% |
| Wk 28 | 50% | 53% | 56% |
| Wk 29 | 50% | 52% | 55% |
| Wk 30 | 50% | 53% | 55% |
| Wk 31 | 49% | 52% | 55% |
| Wk 32 | 50% | 53% | 55% |
New York
Tampa Bay
|
6-10 (37.5%) |
Head to Head |
10-6 (62.5%) |
|
95-71 (57.2%) |
Overall |
106-70 (60.2%) |
|
48-35 (57.8%) |
Home |
60-29 (67.4%) |
|
47-36 (56.6%) |
Away |
46-41 (52.9%) |
|
9-16 (36%) |
Versus Top 5 |
14-16 (46.7%) |
|
34-34 (50%) |
Versus > .500 Teams |
44-32 (57.9%) |
|
61-37 (62.2%) |
Versus < .500 Teams |
62-38 (62%) |
|
5-5 (50%) |
Last 10 Games |
5-5 (50%) |
New York
Tampa Bay
| #2 LA Dodgers | Best Win | #1 Milwaukee |
| #29 LA Angels | Worst Loss | #29 LA Angels |
| 15 runs vs #9 Boston | Largest MOV | 11 runs vs #8 Philadelphia |
| 10 runs vs #22 NY Mets | Largest MOD | 11 runs vs #29 LA Angels |
New York
Tampa Bay
| 4.6 | Runs per Game | 4.4 |
| 3.7 | Runs Against | 4 |
| 4.8 | Home RPG | 4.5 |
| 4 | Home RA | 4 |
| 4.3 | Away RPG | 4.4 |
| 3.4 | Away RA | 4 |
| 13706-13672 | Opponent Record | 14562-14395 |
| 15.6 | Avg Opponent Rank | 15.2 |
| W 8 | Longest Streak | W 9 |
| L 3 | Current Streak | L 1 |
New York
Tampa Bay
| Oct 7 | vs #3 Tampa Bay (106-70) | L3-4 | Oct 28 | vs #1 Milwaukee (114-61) | L1-4 |
| Oct 5 | at #3 Tampa Bay (106-70) | L2-5 | Oct 27 | vs #1 Milwaukee (114-61) | W4-3 |
| Oct 3 | at #3 Tampa Bay (106-70) | L0-1 | Oct 26 | vs #1 Milwaukee (114-61) | L1-10 |
| Sep 30 | vs Boston (87-77) | W9-2 | Oct 24 | at #1 Milwaukee (114-61) | L4-5 |
| Sep 29 | vs Boston (87-77) | W9-0 | Oct 23 | at #1 Milwaukee (114-61) | L2-3 |
| Sep 25 | vs Baltimore (79-82) | W6-3 | Oct 19 | vs Cleveland (90-83) | W7-3 |
| Sep 25 | vs Baltimore (79-82) | L2-10 | Oct 18 | at Cleveland (90-83) | W3-1 |
| Sep 24 | vs #3 Tampa Bay (106-70) | W6-4 | Oct 17 | at Cleveland (90-83) | W7-3 |
| Sep 23 | vs #3 Tampa Bay (106-70) | W9-2 | Oct 15 | at Cleveland (90-83) | L2-3 |
| Sep 22 | vs #3 Tampa Bay (106-70) | L1-6 | Oct 13 | vs Cleveland (90-83) | W3-1 |