Michigan-Dearborn Wolverines
Also known as: Michigan-Dearborn Wolverines
Program History
Model Outputs
2021-2022
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 921 (#634) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 912 (#649) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 967 (#530) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -20.2 (#790) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -28.4 (#622) | HCA +2.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.224 (#652) | AdjO 64.8 | AdjD 78.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.124 (#606) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.143 (#622) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 836 (#577) | RD 306 | GP 3 |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-01-17 | @ | Purdue Fort Wayne Mastodons | L | 59 - 102 |
| 2022-01-24 | @ | Oakland Golden Grizzlies | L | 61 - 104 |
| 2022-01-31 | @ | Detroit Mercy Titans | L | 51 - 96 |
2022 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E. Tomlinson
|
- | 2 | 17.5 | 11.5 | 1.5 | 1.0 | 1.0 | 0.0 | 3.0 | 0.0 | 12.0 | - | - | - | 0 | 0 | 0 | -0.19 | 0 | 0 |
M. Anderson
|
- | 2 | 25.5 | 11.0 | 5.0 | 0.5 | 0.0 | 0.5 | 5.5 | 0.0 | 11.5 | 49 | 2.0 | 5.3 | 0 | 0 | 0 | 0.47 | 0 | 0 |
Keegan Mott
|
ATH | 2 | 26.0 | 9.0 | 5.5 | 0.0 | 1.0 | 0.0 | 2.5 | 0.0 | 13.0 | - | - | - | 0 | 0 | 0 | -0.12 | 0 | 0 |
Troy Campbell
|
G | 3 | 26.3 | 7.3 | 2.0 | 1.3 | 0.0 | 0.0 | 1.7 | 0.0 | 9.0 | 314 | 9.5 | 12.2 | 0 | 0 | 0 | -0.95 | 0 | 0 |
Jimmy Breaux
|
F | 3 | 26.3 | 7.3 | 7.7 | 1.0 | 0.0 | 1.0 | 2.7 | 0.0 | 14.3 | - | - | - | 0 | 0 | 0 | -1.16 | 0 | 0 |
Cameron Johnson
|
G | 3 | 24.7 | 6.0 | 3.7 | 0.7 | 1.3 | 0.3 | 2.3 | 0.0 | 9.7 | - | - | - | 0 | 0 | 0 | -0.83 | 0 | 0 |
Ryan Len
|
G | 3 | 25.3 | 5.7 | 2.0 | 2.7 | 1.0 | 0.0 | 3.3 | 0.0 | 8.0 | - | - | - | 0 | 0 | 0 | -1.38 | 0 | 0 |
R. Sellers
|
- | 3 | 21.3 | 4.7 | 6.0 | 0.7 | 1.3 | 0.3 | 0.7 | 0.0 | 12.3 | - | - | - | 0 | 0 | 0 | -0.52 | 0 | 0 |
Vyshonn Munson
|
F | 3 | 23.0 | 4.0 | 3.3 | 2.7 | 0.7 | 0.0 | 2.7 | 0.0 | 8.0 | - | - | - | 0 | 0 | 0 | -0.84 | 0 | 0 |
Ali Salami
|
G | 3 | 5.0 | 1.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Mohamed Wahidi
|
G | 2 | 3.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG