Maryland Terrapins
2022 Team Stats (28 games)
80.5
PPG
66.2
Opp
+14.3
Margin
45.0%
FG%
36.5%
3P%
76.6%
FT%
39.4
RPG
16.0
APG
12.8
TO
86.9
Pace
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 → | 1310 (#23) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1407 (#12) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +46.8 (#20) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.925 (#23) | - |
2022 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Reese
|
- | 28 | 26.3 | 18.2 | 10.9 | 1.5 | 1.8 | 1.1 | 2.5 | 12.9 | 18.2 | -28 | -1.2 | -10.6 | 51.5 | 20.0 | 70.3 | 0.12 | 57.2 | 51.8 |
A. Owusu
|
G | 23 | 28.4 | 13.9 | 3.1 | 3.9 | 1.0 | 0.1 | 2.3 | 12.0 | 7.7 | 91 | 5.1 | 30.1 | 44.2 | 44.4 | 81.0 | 0.72 | 51.5 | 46.4 |
Diamond Miller
|
- | 21 | 28.4 | 13.2 | 4.0 | 2.9 | 1.4 | 0.9 | 3.2 | 11.6 | 7.7 | - | - | - | 41.2 | 32.5 | 80.3 | 0.58 | 51.1 | 46.3 |
C. Bibby
|
- | 28 | 32.9 | 12.2 | 5.8 | 1.6 | 1.4 | 0.4 | 1.6 | 10.3 | 9.5 | - | - | - | 43.8 | 35.2 | 84.9 | 1.17 | 54.9 | 51.6 |
K. Benzan
|
G | 26 | 33.7 | 10.3 | 2.7 | 3.9 | 1.8 | 0.0 | 1.3 | 7.8 | 9.7 | - | - | - | 45.1 | 45.2 | 95.0 | 0.86 | 63.2 | 61.3 |
S. Sellers
|
G | 28 | 26.7 | 8.1 | 3.8 | 2.6 | 1.8 | 0.2 | 1.2 | 6.9 | 8.4 | -50 | -3.3 | -18.6 | 43.8 | 33.3 | 69.0 | -0.16 | 53.9 | 51.6 |
M. Collins
|
F | 28 | 24.4 | 8.0 | 4.8 | 0.7 | 0.7 | 0.4 | 0.7 | 7.8 | 6.1 | 90 | 3.5 | 16.3 | 42.4 | 30.6 | 88.2 | 1.44 | 48.5 | 44.9 |
F. Masonius
|
F | 7 | 21.1 | 5.9 | 5.9 | 1.6 | 0.6 | 1.0 | 2.0 | 4.9 | 8.0 | 67 | 9.6 | 42.5 | 55.9 | 0.0 | 100.0 | 0.44 | 58.0 | 55.9 |
T. Kozlova
|
G | 20 | 9.6 | 1.2 | 0.9 | 0.1 | 0.1 | 0.1 | 0.6 | 1.5 | 0.6 | - | - | - | 30.0 | 30.0 | 25.0 | 0.58 | 39.4 | 40.0 |
E. Chardon
|
F | 16 | 4.5 | 0.9 | 0.6 | 0.1 | 0.1 | 0.1 | 0.4 | 0.8 | 0.7 | 40 | 4.0 | 19.0 | 50.0 | 0.0 | 60.0 | 0.68 | 52.8 | 50.0 |
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