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 Francisco
New York
|
64
D
|
Overall |
94
A
|
|
68
D+
|
Power |
95
A
|
|
68
D+
6099
|
Offensive |
91
A-
6099
|
|
San Francisco
6099
New York
6099
|
||
|
71
C-
6099
|
Defensive |
96
A
6099
|
|
San Francisco
6099
New York
6099
|
||
|
94
A
|
SoS (Current) |
73
C-
|
|
94
A
|
SoS (Full Season) |
73
C-
|
San Francisco
New York
| 27 | Overall | 5 |
| 24 | Power | 4 |
| 24 | Offensive | 7 |
| 22 | Defensive | 3 |
| 5 | SoS (Current) | 20 |
| 5 | SoS (Full Season) | 20 |
Wk 32 (Oct 30), 2026: NY Yankees 57%, San Francisco 43% at San Francisco.
NY Yankees' win probability against San Francisco has held at 57% over the last 6 weeks — this matchup has settled.
NY Yankees' win probability against San Francisco has held at 60% over the last 6 weeks — this matchup has settled.
NY Yankees' win probability against San Francisco has held at 63% over the last 6 weeks — this matchup has settled.
| Week | At San Francisco | Neutral | At NY Yankees |
|---|---|---|---|
| Wk 3 | 70% | 73% | 75% |
| Wk 4 | 63% | 66% | 68% |
| Wk 5 | 67% | 70% | 72% |
| Wk 6 | 68% | 70% | 73% |
| Wk 7 | 71% | 73% | 75% |
| Wk 8 | 67% | 69% | 72% |
| Wk 9 | 64% | 67% | 69% |
| Wk 10 | 66% | 69% | 71% |
| Wk 11 | 63% | 65% | 67% |
| Wk 12 | 64% | 67% | 69% |
| Wk 13 | 64% | 66% | 68% |
| Wk 14 | 60% | 63% | 65% |
| Wk 15 | 59% | 62% | 64% |
| Wk 16 | 59% | 62% | 64% |
| Wk 17 | 58% | 61% | 63% |
| Wk 18 | 59% | 61% | 64% |
| Wk 19 | 57% | 59% | 62% |
| Wk 20 | 56% | 59% | 61% |
| Wk 21 | 57% | 60% | 62% |
| Wk 22 | 59% | 61% | 64% |
| Wk 23 | 58% | 60% | 63% |
| Wk 24 | 57% | 59% | 62% |
| Wk 25 | 57% | 60% | 62% |
| Wk 26 | 57% | 60% | 62% |
| Wk 27 | 57% | 60% | 62% |
| Wk 28 | 58% | 60% | 63% |
| Wk 29 | 58% | 60% | 63% |
| Wk 30 | 58% | 60% | 63% |
| Wk 31 | 58% | 60% | 63% |
| Wk 32 | 57% | 60% | 63% |
San Francisco
New York
|
0-3 (0%) |
Head to Head |
3-0 (100%) |
|
65-97 (40.1%) |
Overall |
95-71 (57.2%) |
|
37-44 (45.7%) |
Home |
48-35 (57.8%) |
|
28-53 (34.6%) |
Away |
47-36 (56.6%) |
|
13-19 (40.6%) |
Versus Top 5 |
9-16 (36%) |
|
31-54 (36.5%) |
Versus > .500 Teams |
34-34 (50%) |
|
34-43 (44.2%) |
Versus < .500 Teams |
61-37 (62.2%) |
|
2-8 (20%) |
Last 10 Games |
5-5 (50%) |
San Francisco
New York
| #1 Milwaukee | Best Win | #2 LA Dodgers |
| #30 Colorado | Worst Loss | #29 LA Angels |
| 15 runs vs #7 Chi Cubs | Largest MOV | 15 runs vs #9 Boston |
| 14 runs vs #1 Milwaukee | Largest MOD | 10 runs vs #22 NY Mets |
San Francisco
New York
| 4.1 | Runs per Game | 4.6 |
| 4.7 | Runs Against | 3.7 |
| 4.1 | Home RPG | 4.8 |
| 4.4 | Home RA | 4 |
| 4.2 | Away RPG | 4.3 |
| 5 | Away RA | 3.4 |
| 13564-13142 | Opponent Record | 13706-13672 |
| 14 | Avg Opponent Rank | 15.6 |
| L 6 | Longest Streak | W 8 |
| L 5 | Current Streak | L 3 |
San Francisco
New York
| Sep 27 | vs #2 LA Dodgers (103-67) | L1-5 | Oct 7 | vs #3 Tampa Bay (106-70) | L3-4 |
| Sep 26 | vs #2 LA Dodgers (103-67) | L3-4 | Oct 5 | at #3 Tampa Bay (106-70) | L2-5 |
| Sep 25 | vs #2 LA Dodgers (103-67) | L0-2 | Oct 3 | at #3 Tampa Bay (106-70) | L0-1 |
| Sep 23 | vs Minnesota (77-85) | L2-4 | Sep 30 | vs Boston (87-77) | W9-2 |
| Sep 22 | vs Minnesota (77-85) | L2-3 | Sep 29 | vs Boston (87-77) | W9-0 |
| Sep 21 | vs Minnesota (77-85) | W5-2 | Sep 25 | vs Baltimore (79-82) | W6-3 |
| Sep 20 | at #2 LA Dodgers (103-67) | L1-3 | Sep 25 | vs Baltimore (79-82) | L2-10 |
| Sep 19 | at #2 LA Dodgers (103-67) | L4-10 | Sep 24 | vs #3 Tampa Bay (106-70) | W6-4 |
| Sep 18 | at #2 LA Dodgers (103-67) | L2-8 | Sep 23 | vs #3 Tampa Bay (106-70) | W9-2 |
| Sep 16 | at St. Louis (77-85) | W6-5 | Sep 22 | vs #3 Tampa Bay (106-70) | L1-6 |