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.
Toronto
San Diego
|
79
C+
|
Overall |
92
A-
|
|
73
C-
|
Power |
91
A-
|
|
64
D
6099
|
Offensive |
86
B
6099
|
|
Toronto
6099
San Diego
6099
|
||
|
83
B-
6099
|
Defensive |
90
A-
6099
|
|
Toronto
6099
San Diego
6099
|
||
|
83
B-
|
SoS (Current) |
80
B-
|
|
83
B-
|
SoS (Full Season) |
80
B-
|
Toronto
San Diego
| 16 | Overall | 6 |
| 20 | Power | 7 |
| 27 | Offensive | 11 |
| 13 | Defensive | 8 |
| 13 | SoS (Current) | 15 |
| 13 | SoS (Full Season) | 15 |
Wk 32 (Oct 30), 2026: San Diego 57%, Toronto 43% at San Diego.
San Diego's win probability against Toronto has held at 52% over the last 6 weeks — this matchup has settled.
San Diego's win probability against Toronto has held at 55% over the last 6 weeks — this matchup has settled.
San Diego's win probability against Toronto has held at 57% over the last 6 weeks — this matchup has settled.
| Week | At Toronto | Neutral | At San Diego |
|---|---|---|---|
| Wk 3 | 56% | 59% | 61% |
| Wk 4 | 65% | 68% | 70% |
| Wk 5 | 61% | 63% | 66% |
| Wk 6 | 52% | 55% | 58% |
| Wk 7 | 50% | 53% | 55% |
| Wk 8 | 48% | 51% | 54% |
| Wk 9 | 47% | 50% | 53% |
| Wk 10 | 46% | 49% | 52% |
| Wk 11 | 46% | 48% | 51% |
| Wk 12 | 44% | 47% | 49% |
| Wk 13 | 47% | 50% | 52% |
| Wk 14 | 50% | 52% | 55% |
| Wk 15 | 46% | 48% | 51% |
| Wk 16 | 46% | 49% | 51% |
| Wk 17 | 47% | 50% | 53% |
| Wk 18 | 51% | 54% | 56% |
| Wk 19 | 51% | 54% | 56% |
| Wk 20 | 51% | 53% | 56% |
| Wk 21 | 52% | 54% | 57% |
| Wk 22 | 51% | 53% | 56% |
| Wk 23 | 52% | 54% | 57% |
| Wk 24 | 49% | 52% | 55% |
| Wk 25 | 50% | 53% | 56% |
| Wk 26 | 51% | 54% | 56% |
| Wk 27 | 51% | 54% | 56% |
| Wk 28 | 52% | 55% | 57% |
| Wk 29 | 52% | 55% | 57% |
| Wk 30 | 52% | 55% | 57% |
| Wk 31 | 52% | 55% | 57% |
| Wk 32 | 52% | 55% | 57% |
Toronto
San Diego
|
1-2 (33.3%) |
Head to Head |
2-1 (66.7%) |
|
79-82 (49.1%) |
Overall |
94-74 (56%) |
|
42-39 (51.9%) |
Home |
54-31 (63.5%) |
|
37-43 (46.3%) |
Away |
40-43 (48.2%) |
|
13-22 (37.1%) |
Versus Top 5 |
16-20 (44.4%) |
|
35-43 (44.9%) |
Versus > .500 Teams |
34-44 (43.6%) |
|
44-39 (53%) |
Versus < .500 Teams |
60-30 (66.7%) |
|
4-6 (40%) |
Last 10 Games |
6-4 (60%) |
Toronto
San Diego
| #1 Milwaukee | Best Win | #1 Milwaukee |
| #30 Colorado | Worst Loss | #30 Colorado |
| 13 runs vs #29 LA Angels | Largest MOV | 17 runs vs #26 Kansas City |
| 14 runs vs #7 Chi Cubs | Largest MOD | 20 runs vs #7 Chi Cubs |
Toronto
San Diego
| 4 | Runs per Game | 4.4 |
| 4.3 | Runs Against | 4.1 |
| 4 | Home RPG | 4.3 |
| 4.3 | Home RA | 3.7 |
| 4.1 | Away RPG | 4.6 |
| 4.2 | Away RA | 4.6 |
| 13474-13102 | Opponent Record | 13843-13807 |
| 14.8 | Avg Opponent Rank | 15.2 |
| L 6 | Longest Streak | W 8 |
| W 1 | Current Streak | L 1 |
Toronto
San Diego
| Sep 27 | vs Cincinnati (75-87) | W5-1 | Oct 7 | vs #1 Milwaukee (114-61) | L1-3 |
| Sep 26 | vs Cincinnati (75-87) | L1-5 | Oct 6 | vs #1 Milwaukee (114-61) | W4-3 |
| Sep 25 | vs Cincinnati (75-87) | W6-5 | Oct 4 | at #1 Milwaukee (114-61) | L3-4 |
| Sep 23 | at Baltimore (79-82) | L2-4 | Oct 3 | at #1 Milwaukee (114-61) | L2-3 |
| Sep 21 | at Baltimore (79-82) | L3-4 | Sep 30 | vs Chi Cubs (89-75) | W4-1 |
| Sep 20 | at Texas (80-82) | W7-2 | Sep 29 | vs Chi Cubs (89-75) | W8-0 |
| Sep 19 | at Texas (80-82) | L2-6 | Sep 27 | vs Arizona (86-76) | W9-4 |
| Sep 18 | at Texas (80-82) | L1-7 | Sep 26 | vs Arizona (86-76) | W10-7 |
| Sep 16 | vs Detroit (76-86) | W5-1 | Sep 25 | vs Arizona (86-76) | L4-11 |
| Sep 15 | vs Detroit (76-86) | L1-10 | Sep 24 | at #2 LA Dodgers (103-67) | W4-2 |