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 |
71
C-
|
|
68
D+
|
Power |
77
C+
|
|
68
D+
6099
|
Offensive |
75
C
6099
|
|
San Francisco
6099
New York
6099
|
||
|
71
C-
6099
|
Defensive |
77
C+
6099
|
|
San Francisco
6099
New York
6099
|
||
|
94
A
|
SoS (Current) |
98
A+
|
|
94
A
|
SoS (Full Season) |
98
A+
|
San Francisco
New York
| 27 | Overall | 22 |
| 24 | Power | 17 |
| 24 | Offensive | 19 |
| 22 | Defensive | 17 |
| 5 | SoS (Current) | 2 |
| 5 | SoS (Full Season) | 2 |
Wk 32 (Oct 30), 2026: NY Mets 56%, San Francisco 44% at NY Mets.
NY Mets' win probability against San Francisco has held at 50% over the last 6 weeks — this matchup has settled.
NY Mets' win probability against San Francisco has held at 53% over the last 6 weeks — this matchup has settled.
NY Mets' win probability against San Francisco has held at 56% over the last 6 weeks — this matchup has settled.
| Week | At San Francisco | Neutral | At NY Mets |
|---|---|---|---|
| Wk 3 | 57% | 59% | 62% |
| Wk 4 | 51% | 54% | 56% |
| Wk 5 | 48% | 50% | 53% |
| Wk 6 | 47% | 50% | 53% |
| Wk 7 | 51% | 53% | 56% |
| Wk 8 | 51% | 53% | 56% |
| Wk 9 | 53% | 55% | 58% |
| Wk 10 | 50% | 52% | 55% |
| Wk 11 | 50% | 53% | 56% |
| Wk 12 | 50% | 53% | 56% |
| Wk 13 | 49% | 52% | 54% |
| Wk 14 | 46% | 48% | 51% |
| Wk 15 | 47% | 50% | 53% |
| Wk 16 | 47% | 50% | 53% |
| Wk 17 | 46% | 49% | 52% |
| Wk 18 | 47% | 50% | 52% |
| Wk 19 | 48% | 50% | 53% |
| Wk 20 | 49% | 52% | 54% |
| Wk 21 | 50% | 53% | 56% |
| Wk 22 | 51% | 54% | 56% |
| Wk 23 | 50% | 53% | 55% |
| Wk 24 | 50% | 52% | 55% |
| Wk 25 | 50% | 52% | 55% |
| Wk 26 | 50% | 52% | 55% |
| Wk 27 | 50% | 53% | 56% |
| Wk 28 | 51% | 53% | 56% |
| Wk 29 | 51% | 53% | 56% |
| Wk 30 | 51% | 53% | 56% |
| Wk 31 | 51% | 53% | 56% |
| Wk 32 | 50% | 53% | 56% |
San Francisco
New York
|
2-5 (28.6%) |
Head to Head |
5-2 (71.4%) |
|
65-97 (40.1%) |
Overall |
74-88 (45.7%) |
|
37-44 (45.7%) |
Home |
36-45 (44.4%) |
|
28-53 (34.6%) |
Away |
38-43 (46.9%) |
|
13-19 (40.6%) |
Versus Top 5 |
15-19 (44.1%) |
|
31-54 (36.5%) |
Versus > .500 Teams |
35-46 (43.2%) |
|
34-43 (44.2%) |
Versus < .500 Teams |
39-42 (48.1%) |
|
2-8 (20%) |
Last 10 Games |
5-5 (50%) |
San Francisco
New York
| #1 Milwaukee | Best Win | #1 Milwaukee |
| #30 Colorado | Worst Loss | #30 Colorado |
| 15 runs vs #7 Chi Cubs | Largest MOV | 11 runs vs #4 Atlanta |
| 14 runs vs #1 Milwaukee | Largest MOD | 12 runs vs #8 Philadelphia |
San Francisco
New York
| 4.1 | Runs per Game | 4.3 |
| 4.7 | Runs Against | 4.5 |
| 4.1 | Home RPG | 4.1 |
| 4.4 | Home RA | 4.5 |
| 4.2 | Away RPG | 4.5 |
| 5 | Away RA | 4.5 |
| 13564-13142 | Opponent Record | 13583-13096 |
| 14 | Avg Opponent Rank | 13.6 |
| L 6 | Longest Streak | L 12 |
| L 5 | Current Streak | L 1 |
San Francisco
New York
| Sep 27 | vs #2 LA Dodgers (103-67) | L1-5 | Sep 27 | at Washington (77-85) | L4-6 |
| Sep 26 | vs #2 LA Dodgers (103-67) | L3-4 | Sep 26 | at Washington (77-85) | W7-1 |
| Sep 25 | vs #2 LA Dodgers (103-67) | L0-2 | Sep 25 | at Washington (77-85) | L6-7 |
| Sep 23 | vs Minnesota (77-85) | L2-4 | Sep 24 | at Texas (80-82) | L1-3 |
| Sep 22 | vs Minnesota (77-85) | L2-3 | Sep 23 | at Texas (80-82) | W7-2 |
| Sep 21 | vs Minnesota (77-85) | W5-2 | Sep 22 | at Texas (80-82) | W6-3 |
| Sep 20 | at #2 LA Dodgers (103-67) | L1-3 | Sep 20 | vs Philadelphia (89-76) | L2-7 |
| Sep 19 | at #2 LA Dodgers (103-67) | L4-10 | Sep 19 | vs Philadelphia (89-76) | W10-3 |
| Sep 18 | at #2 LA Dodgers (103-67) | L2-8 | Sep 18 | vs Philadelphia (89-76) | W6-3 |
| Sep 16 | at St. Louis (77-85) | W6-5 | Sep 17 | vs Philadelphia (89-76) | L0-3 |