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.
Baltimore
Los Angeles
|
80
B-
|
Overall |
98
A+
|
|
75
C
|
Power |
98
A+
|
|
82
B-
6099
|
Offensive |
95
A
6099
|
|
Baltimore
6099
Los Angeles
6099
|
||
|
73
C-
6099
|
Defensive |
98
A+
6099
|
|
Baltimore
6099
Los Angeles
6099
|
||
|
82
B-
|
SoS (Current) |
75
C
|
|
82
B-
|
SoS (Full Season) |
75
C
|
Baltimore
Los Angeles
| 15 | Overall | 2 |
| 19 | Power | 2 |
| 14 | Offensive | 4 |
| 20 | Defensive | 2 |
| 14 | SoS (Current) | 19 |
| 14 | SoS (Full Season) | 19 |
Wk 32 (Oct 30), 2026: LA Dodgers 62%, Baltimore 38% at LA Dodgers.
LA Dodgers' win probability against Baltimore has held at 57% over the last 6 weeks — this matchup has settled.
LA Dodgers' win probability against Baltimore has held at 59% over the last 6 weeks — this matchup has settled.
LA Dodgers' win probability against Baltimore has held at 62% over the last 6 weeks — this matchup has settled.
| Week | At Baltimore | Neutral | At LA Dodgers |
|---|---|---|---|
| Wk 3 | 81% | 83% | 84% |
| Wk 4 | 69% | 71% | 74% |
| Wk 5 | 63% | 65% | 68% |
| Wk 6 | 69% | 71% | 73% |
| Wk 7 | 72% | 74% | 76% |
| Wk 8 | 67% | 69% | 71% |
| Wk 9 | 71% | 73% | 75% |
| Wk 10 | 70% | 72% | 75% |
| Wk 11 | 67% | 69% | 72% |
| Wk 12 | 65% | 67% | 69% |
| Wk 13 | 66% | 68% | 71% |
| Wk 14 | 62% | 65% | 67% |
| Wk 15 | 64% | 67% | 69% |
| Wk 16 | 62% | 64% | 67% |
| Wk 17 | 60% | 62% | 65% |
| Wk 18 | 60% | 62% | 65% |
| Wk 19 | 59% | 62% | 64% |
| Wk 20 | 59% | 61% | 64% |
| Wk 21 | 59% | 62% | 64% |
| Wk 22 | 58% | 61% | 63% |
| Wk 23 | 58% | 60% | 63% |
| Wk 24 | 56% | 58% | 61% |
| Wk 25 | 57% | 59% | 62% |
| Wk 26 | 57% | 60% | 62% |
| Wk 27 | 57% | 59% | 62% |
| Wk 28 | 57% | 59% | 62% |
| Wk 29 | 57% | 60% | 62% |
| Wk 30 | 57% | 59% | 62% |
| Wk 31 | 57% | 59% | 62% |
| Wk 32 | 57% | 59% | 62% |
Baltimore
Los Angeles
|
2-1 (66.7%) |
Head to Head |
1-2 (33.3%) |
|
78-82 (48.8%) |
Overall |
103-67 (60.6%) |
|
38-42 (47.5%) |
Home |
52-33 (61.2%) |
|
40-40 (50%) |
Away |
51-34 (60%) |
|
14-20 (41.2%) |
Versus Top 5 |
12-15 (44.4%) |
|
29-46 (38.7%) |
Versus > .500 Teams |
39-41 (48.8%) |
|
49-36 (57.6%) |
Versus < .500 Teams |
64-26 (71.1%) |
|
6-4 (60%) |
Last 10 Games |
5-5 (50%) |
Baltimore
Los Angeles
| #2 LA Dodgers | Best Win | #1 Milwaukee |
| #30 Colorado | Worst Loss | #30 Colorado |
| 12 runs vs #17 St. Louis | Largest MOV | 13 runs vs #20 Cincinnati |
| 16 runs vs #9 Boston | Largest MOD | 11 runs vs #15 Baltimore |
Baltimore
Los Angeles
| 4.5 | Runs per Game | 4.9 |
| 4.6 | Runs Against | 3.7 |
| 4.2 | Home RPG | 4.6 |
| 4.4 | Home RA | 4 |
| 4.7 | Away RPG | 5.2 |
| 4.9 | Away RA | 3.4 |
| 13352-13072 | Opponent Record | 13909-14069 |
| 15.1 | Avg Opponent Rank | 15.4 |
| W 7 | Longest Streak | W 8 |
| L 1 | Current Streak | L 4 |
Baltimore
Los Angeles
| Sep 25 | at #5 NY Yankees (95-71) | L3-6 | Oct 15 | vs #1 Milwaukee (114-61) | L4-6 |
| Sep 25 | at #5 NY Yankees (95-71) | W10-2 | Oct 14 | vs #1 Milwaukee (114-61) | L2-6 |
| Sep 23 | vs Toronto (79-83) | W4-2 | Oct 12 | at #1 Milwaukee (114-61) | L4-7 |
| Sep 21 | vs Toronto (79-83) | W4-3 | Oct 11 | at #1 Milwaukee (114-61) | L1-2 |
| Sep 20 | vs #1 Milwaukee (114-61) | L0-3 | Oct 7 | at #4 Atlanta (97-72) | W4-1 |
| Sep 19 | vs #1 Milwaukee (114-61) | L0-1 | Oct 6 | at #4 Atlanta (97-72) | W3-1 |
| Sep 18 | vs #1 Milwaukee (114-61) | L5-6 | Oct 4 | vs #4 Atlanta (97-72) | L2-3 |
| Sep 16 | at NY Mets (74-88) | W7-1 | Oct 3 | vs #4 Atlanta (97-72) | W5-3 |
| Sep 15 | at NY Mets (74-88) | W7-5 | Sep 27 | at San Francisco (65-97) | W5-1 |
| Sep 14 | at NY Mets (74-88) | W2-1 | Sep 26 | at San Francisco (65-97) | W4-3 |