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
Baltimore
|
64
D
|
Overall |
80
B-
|
|
68
D+
|
Power |
75
C
|
|
68
D+
6099
|
Offensive |
82
B-
6099
|
|
San Francisco
6099
Baltimore
6099
|
||
|
71
C-
6099
|
Defensive |
73
C-
6099
|
|
San Francisco
6099
Baltimore
6099
|
||
|
94
A
|
SoS (Current) |
82
B-
|
|
94
A
|
SoS (Full Season) |
82
B-
|
San Francisco
Baltimore
| 27 | Overall | 15 |
| 24 | Power | 19 |
| 24 | Offensive | 14 |
| 22 | Defensive | 20 |
| 5 | SoS (Current) | 14 |
| 5 | SoS (Full Season) | 14 |
Wk 32 (Oct 31), 2026: Baltimore 56%, San Francisco 44% at Baltimore.
Baltimore's win probability against San Francisco has held at 50% over the last 6 weeks — this matchup has settled.
Baltimore's win probability against San Francisco has held at 53% over the last 6 weeks — this matchup has settled.
Baltimore's win probability against San Francisco has held at 56% over the last 6 weeks — this matchup has settled.
| Week | At San Francisco | Neutral | At Baltimore |
|---|---|---|---|
| Wk 3 | 43% | 46% | 49% |
| Wk 4 | 58% | 61% | 63% |
| Wk 5 | 53% | 56% | 59% |
| Wk 6 | 49% | 52% | 55% |
| Wk 7 | 48% | 50% | 53% |
| Wk 8 | 48% | 51% | 54% |
| Wk 9 | 46% | 49% | 52% |
| Wk 10 | 48% | 51% | 54% |
| Wk 11 | 49% | 52% | 54% |
| Wk 12 | 51% | 53% | 56% |
| Wk 13 | 47% | 50% | 52% |
| Wk 14 | 49% | 52% | 55% |
| Wk 15 | 50% | 52% | 55% |
| Wk 16 | 51% | 53% | 56% |
| Wk 17 | 51% | 53% | 56% |
| Wk 18 | 52% | 54% | 57% |
| Wk 19 | 50% | 52% | 55% |
| Wk 20 | 49% | 51% | 54% |
| Wk 21 | 49% | 52% | 54% |
| Wk 22 | 51% | 53% | 56% |
| Wk 23 | 51% | 53% | 56% |
| Wk 24 | 50% | 53% | 55% |
| Wk 25 | 50% | 52% | 55% |
| Wk 26 | 50% | 52% | 55% |
| Wk 27 | 50% | 53% | 56% |
| Wk 28 | 50% | 53% | 56% |
| Wk 29 | 50% | 53% | 56% |
| Wk 30 | 50% | 53% | 56% |
| Wk 31 | 50% | 53% | 56% |
| Wk 32 | 50% | 53% | 56% |
San Francisco
Baltimore
|
1-2 (33.3%) |
Head to Head |
2-1 (66.7%) |
|
65-97 (40.1%) |
Overall |
78-82 (48.8%) |
|
37-44 (45.7%) |
Home |
38-42 (47.5%) |
|
28-53 (34.6%) |
Away |
40-40 (50%) |
|
13-19 (40.6%) |
Versus Top 5 |
14-20 (41.2%) |
|
31-54 (36.5%) |
Versus > .500 Teams |
29-46 (38.7%) |
|
34-43 (44.2%) |
Versus < .500 Teams |
49-36 (57.6%) |
|
2-8 (20%) |
Last 10 Games |
6-4 (60%) |
San Francisco
Baltimore
| #1 Milwaukee | Best Win | #2 LA Dodgers |
| #30 Colorado | Worst Loss | #30 Colorado |
| 15 runs vs #7 Chi Cubs | Largest MOV | 12 runs vs #17 St. Louis |
| 14 runs vs #1 Milwaukee | Largest MOD | 16 runs vs #9 Boston |
San Francisco
Baltimore
| 4.1 | Runs per Game | 4.5 |
| 4.7 | Runs Against | 4.6 |
| 4.1 | Home RPG | 4.2 |
| 4.4 | Home RA | 4.4 |
| 4.2 | Away RPG | 4.7 |
| 5 | Away RA | 4.9 |
| 13564-13142 | Opponent Record | 13352-13072 |
| 14 | Avg Opponent Rank | 15.1 |
| L 6 | Longest Streak | W 7 |
| L 5 | Current Streak | L 1 |
San Francisco
Baltimore
| Sep 27 | vs #2 LA Dodgers (103-67) | L1-5 | Sep 25 | at #5 NY Yankees (95-71) | L3-6 |
| Sep 26 | vs #2 LA Dodgers (103-67) | L3-4 | Sep 25 | at #5 NY Yankees (95-71) | W10-2 |
| Sep 25 | vs #2 LA Dodgers (103-67) | L0-2 | Sep 23 | vs Toronto (79-83) | W4-2 |
| Sep 23 | vs Minnesota (77-85) | L2-4 | Sep 21 | vs Toronto (79-83) | W4-3 |
| Sep 22 | vs Minnesota (77-85) | L2-3 | Sep 20 | vs #1 Milwaukee (114-61) | L0-3 |
| Sep 21 | vs Minnesota (77-85) | W5-2 | Sep 19 | vs #1 Milwaukee (114-61) | L0-1 |
| Sep 20 | at #2 LA Dodgers (103-67) | L1-3 | Sep 18 | vs #1 Milwaukee (114-61) | L5-6 |
| Sep 19 | at #2 LA Dodgers (103-67) | L4-10 | Sep 16 | at NY Mets (74-88) | W7-1 |
| Sep 18 | at #2 LA Dodgers (103-67) | L2-8 | Sep 15 | at NY Mets (74-88) | W7-5 |
| Sep 16 | at St. Louis (77-85) | W6-5 | Sep 14 | at NY Mets (74-88) | W2-1 |