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
Milwaukee
|
64
D
|
Overall |
99
A+
|
|
68
D+
|
Power |
99
A+
|
|
68
D+
6099
|
Offensive |
99
A+
6099
|
|
San Francisco
6099
Milwaukee
6099
|
||
|
71
C-
6099
|
Defensive |
99
A+
6099
|
|
San Francisco
6099
Milwaukee
6099
|
||
|
94
A
|
SoS (Current) |
91
A-
|
|
94
A
|
SoS (Full Season) |
91
A-
|
San Francisco
Milwaukee
| 27 | Overall | 1 |
| 24 | Power | 1 |
| 24 | Offensive | 1 |
| 22 | Defensive | 1 |
| 5 | SoS (Current) | 7 |
| 5 | SoS (Full Season) | 7 |
Wk 32 (Oct 31), 2026: Milwaukee 62%, San Francisco 38% at San Francisco.
Milwaukee's win probability against San Francisco has held at 62% over the last 6 weeks — this matchup has settled.
Milwaukee's win probability against San Francisco has held at 64% over the last 6 weeks — this matchup has settled.
Milwaukee's win probability against San Francisco has held at 67% over the last 6 weeks — this matchup has settled.
| Week | At San Francisco | Neutral | At Milwaukee |
|---|---|---|---|
| Wk 3 | 60% | 62% | 65% |
| Wk 4 | 60% | 62% | 65% |
| Wk 5 | 57% | 59% | 62% |
| Wk 6 | 67% | 69% | 72% |
| Wk 7 | 69% | 71% | 74% |
| Wk 8 | 68% | 70% | 72% |
| Wk 9 | 70% | 73% | 75% |
| Wk 10 | 68% | 70% | 72% |
| Wk 11 | 65% | 67% | 70% |
| Wk 12 | 66% | 69% | 71% |
| Wk 13 | 64% | 67% | 69% |
| Wk 14 | 65% | 68% | 70% |
| Wk 15 | 65% | 67% | 70% |
| Wk 16 | 66% | 68% | 70% |
| Wk 17 | 63% | 66% | 68% |
| Wk 18 | 63% | 65% | 68% |
| Wk 19 | 61% | 63% | 66% |
| Wk 20 | 61% | 63% | 66% |
| Wk 21 | 60% | 63% | 65% |
| Wk 22 | 63% | 66% | 68% |
| Wk 23 | 63% | 66% | 68% |
| Wk 24 | 60% | 63% | 65% |
| Wk 25 | 60% | 63% | 65% |
| Wk 26 | 60% | 63% | 65% |
| Wk 27 | 61% | 63% | 66% |
| Wk 28 | 61% | 63% | 66% |
| Wk 29 | 61% | 63% | 66% |
| Wk 30 | 61% | 64% | 66% |
| Wk 31 | 61% | 64% | 66% |
| Wk 32 | 62% | 64% | 67% |
San Francisco
Milwaukee
|
4-3 (57.1%) |
Head to Head |
3-4 (42.9%) |
|
65-97 (40.1%) |
Overall |
114-61 (65.1%) |
|
37-44 (45.7%) |
Home |
61-26 (70.1%) |
|
28-53 (34.6%) |
Away |
53-35 (60.2%) |
|
13-19 (40.6%) |
Versus Top 5 |
20-8 (71.4%) |
|
31-54 (36.5%) |
Versus > .500 Teams |
54-31 (63.5%) |
|
34-43 (44.2%) |
Versus < .500 Teams |
60-30 (66.7%) |
|
2-8 (20%) |
Last 10 Games |
9-1 (90%) |
San Francisco
Milwaukee
| #1 Milwaukee | Best Win | #2 LA Dodgers |
| #30 Colorado | Worst Loss | #30 Colorado |
| 15 runs vs #7 Chi Cubs | Largest MOV | 22 runs vs #25 Seattle |
| 14 runs vs #1 Milwaukee | Largest MOD | 14 runs vs #7 Chi Cubs |
San Francisco
Milwaukee
| 4.1 | Runs per Game | 5.1 |
| 4.7 | Runs Against | 3.7 |
| 4.1 | Home RPG | 5.4 |
| 4.4 | Home RA | 3.4 |
| 4.2 | Away RPG | 4.8 |
| 5 | Away RA | 4 |
| 13564-13142 | Opponent Record | 14481-14290 |
| 14 | Avg Opponent Rank | 14.3 |
| L 6 | Longest Streak | W 8 |
| L 5 | Current Streak | W 1 |
San Francisco
Milwaukee
| Sep 27 | vs #2 LA Dodgers (103-67) | L1-5 | Oct 28 | at #3 Tampa Bay (106-70) | W4-1 |
| Sep 26 | vs #2 LA Dodgers (103-67) | L3-4 | Oct 27 | at #3 Tampa Bay (106-70) | L3-4 |
| Sep 25 | vs #2 LA Dodgers (103-67) | L0-2 | Oct 26 | at #3 Tampa Bay (106-70) | W10-1 |
| Sep 23 | vs Minnesota (77-85) | L2-4 | Oct 24 | vs #3 Tampa Bay (106-70) | W5-4 |
| Sep 22 | vs Minnesota (77-85) | L2-3 | Oct 23 | vs #3 Tampa Bay (106-70) | W3-2 |
| Sep 21 | vs Minnesota (77-85) | W5-2 | Oct 15 | at #2 LA Dodgers (103-67) | W6-4 |
| Sep 20 | at #2 LA Dodgers (103-67) | L1-3 | Oct 14 | at #2 LA Dodgers (103-67) | W6-2 |
| Sep 19 | at #2 LA Dodgers (103-67) | L4-10 | Oct 12 | vs #2 LA Dodgers (103-67) | W7-4 |
| Sep 18 | at #2 LA Dodgers (103-67) | L2-8 | Oct 11 | vs #2 LA Dodgers (103-67) | W2-1 |
| Sep 16 | at St. Louis (77-85) | W6-5 | Oct 7 | at San Diego (94-74) | W3-1 |