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.
Minnesota
Toronto
|
69
D+
|
Overall |
79
C+
|
|
72
C-
|
Power |
73
C-
|
|
83
B-
6099
|
Offensive |
64
D
6099
|
|
Minnesota
6099
Toronto
6099
|
||
|
65
D
6099
|
Defensive |
83
B-
6099
|
|
Minnesota
6099
Toronto
6099
|
||
|
71
C-
|
SoS (Current) |
83
B-
|
|
71
C-
|
SoS (Full Season) |
83
B-
|
Minnesota
Toronto
| 23 | Overall | 16 |
| 21 | Power | 20 |
| 13 | Offensive | 27 |
| 26 | Defensive | 13 |
| 22 | SoS (Current) | 13 |
| 22 | SoS (Full Season) | 13 |
Wk 32 (Oct 30), 2026: Minnesota 52%, Toronto 48% at Minnesota.
Minnesota's win probability against Toronto has held at 46% over the last 6 weeks — this matchup has settled.
Minnesota's win probability against Toronto has held at 49% over the last 6 weeks — this matchup has settled.
Minnesota's win probability against Toronto has held at 52% over the last 6 weeks — this matchup has settled.
| Week | At Toronto | Neutral | At Minnesota |
|---|---|---|---|
| Wk 3 | 52% | 54% | 57% |
| Wk 4 | 65% | 68% | 70% |
| Wk 5 | 55% | 58% | 61% |
| Wk 6 | 51% | 54% | 56% |
| Wk 7 | 47% | 50% | 52% |
| Wk 8 | 48% | 51% | 53% |
| Wk 9 | 47% | 49% | 52% |
| Wk 10 | 44% | 47% | 49% |
| Wk 11 | 45% | 47% | 50% |
| Wk 12 | 42% | 45% | 48% |
| Wk 13 | 45% | 48% | 51% |
| Wk 14 | 46% | 49% | 52% |
| Wk 15 | 46% | 49% | 52% |
| Wk 16 | 49% | 52% | 54% |
| Wk 17 | 50% | 53% | 56% |
| Wk 18 | 49% | 52% | 55% |
| Wk 19 | 49% | 51% | 54% |
| Wk 20 | 48% | 51% | 53% |
| Wk 21 | 47% | 50% | 53% |
| Wk 22 | 46% | 49% | 52% |
| Wk 23 | 46% | 48% | 51% |
| Wk 24 | 46% | 49% | 51% |
| Wk 25 | 46% | 49% | 51% |
| Wk 26 | 45% | 48% | 51% |
| Wk 27 | 46% | 49% | 52% |
| Wk 28 | 46% | 49% | 52% |
| Wk 29 | 46% | 49% | 52% |
| Wk 30 | 46% | 49% | 52% |
| Wk 31 | 46% | 49% | 52% |
| Wk 32 | 46% | 49% | 52% |
Minnesota
Toronto
|
4-3 (57.1%) |
Head to Head |
3-4 (42.9%) |
|
77-85 (47.5%) |
Overall |
79-82 (49.1%) |
|
42-39 (51.9%) |
Home |
42-39 (51.9%) |
|
35-46 (43.2%) |
Away |
37-43 (46.3%) |
|
9-15 (37.5%) |
Versus Top 5 |
13-22 (37.1%) |
|
29-42 (40.8%) |
Versus > .500 Teams |
35-43 (44.9%) |
|
48-43 (52.7%) |
Versus < .500 Teams |
44-39 (53%) |
|
6-4 (60%) |
Last 10 Games |
4-6 (40%) |
Minnesota
Toronto
| #1 Milwaukee | Best Win | #1 Milwaukee |
| #30 Colorado | Worst Loss | #30 Colorado |
| 13 runs vs #24 Detroit | Largest MOV | 13 runs vs #29 LA Angels |
| 13 runs vs #13 Chi White Sox | Largest MOD | 14 runs vs #7 Chi Cubs |
Minnesota
Toronto
| 4.6 | Runs per Game | 4 |
| 4.9 | Runs Against | 4.3 |
| 4.6 | Home RPG | 4 |
| 4.6 | Home RA | 4.3 |
| 4.5 | Away RPG | 4.1 |
| 5.2 | Away RA | 4.2 |
| 13316-13444 | Opponent Record | 13474-13102 |
| 16.3 | Avg Opponent Rank | 14.8 |
| L 5 | Longest Streak | L 6 |
| W 1 | Current Streak | W 1 |
Minnesota
Toronto
| Sep 27 | vs Texas (80-82) | W6-4 | Sep 27 | vs Cincinnati (75-87) | W5-1 |
| Sep 26 | vs Texas (80-82) | L2-6 | Sep 26 | vs Cincinnati (75-87) | L1-5 |
| Sep 25 | vs Texas (80-82) | W10-2 | Sep 25 | vs Cincinnati (75-87) | W6-5 |
| Sep 23 | at San Francisco (65-97) | W4-2 | Sep 23 | at Baltimore (79-82) | L2-4 |
| Sep 22 | at San Francisco (65-97) | W3-2 | Sep 21 | at Baltimore (79-82) | L3-4 |
| Sep 21 | at San Francisco (65-97) | L2-5 | Sep 20 | at Texas (80-82) | W7-2 |
| Sep 20 | at LA Angels (62-100) | W8-0 | Sep 19 | at Texas (80-82) | L2-6 |
| Sep 19 | at LA Angels (62-100) | L5-6 | Sep 18 | at Texas (80-82) | L1-7 |
| Sep 18 | at LA Angels (62-100) | W3-0 | Sep 16 | vs Detroit (76-86) | W5-1 |
| Sep 17 | at LA Angels (62-100) | L4-5 | Sep 15 | vs Detroit (76-86) | L1-10 |