Maryland Terrapins
2023 Team Stats (28 games)
78.4
PPG
68.1
Opp
+10.6
Margin
45.0%
FG%
36.2%
3P%
77.9%
FT%
36.1
RPG
17.1
APG
13.9
TO
85.8
Pace
Model Outputs
2022-2023
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 → | 1411 (#11) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +47.2 (#22) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.926 (#23) | - |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Diamond Miller
|
- | 27 | 29.4 | 20.1 | 6.3 | 3.0 | 2.1 | 1.0 | 3.3 | 14.3 | 14.9 | - | - | - | 48.1 | 21.4 | 80.4 | - | 57.5 | 50.0 |
A. Meyers
|
G | 28 | 29.9 | 13.6 | 5.0 | 2.3 | 2.0 | 0.5 | 1.4 | 12.0 | 10.0 | - | - | - | 44.6 | 36.1 | 72.0 | - | 53.1 | 51.2 |
S. Sellers
|
G | 28 | 28.1 | 13.6 | 5.0 | 3.8 | 1.9 | 0.6 | 2.6 | 9.8 | 12.4 | - | - | - | 50.0 | 36.4 | 79.1 | - | 59.1 | 53.6 |
B. Alexander
|
G | 28 | 22.8 | 9.2 | 3.3 | 0.9 | 1.1 | 0.2 | 1.2 | 7.0 | 6.5 | - | - | - | 44.6 | 43.5 | 85.3 | - | 61.2 | 58.5 |
L. Briggs
|
G | 28 | 24.7 | 7.2 | 3.9 | 1.3 | 0.5 | 0.5 | 1.0 | 7.0 | 5.5 | - | - | - | 40.0 | 39.7 | 92.0 | - | 49.0 | 45.9 |
F. Masonius
|
F | 28 | 27.9 | 7.2 | 5.0 | 2.0 | 1.2 | 0.4 | 2.0 | 6.2 | 7.6 | - | - | - | 47.4 | 36.4 | 69.2 | - | 52.3 | 49.7 |
E. Pinzan
|
G | 28 | 20.9 | 3.2 | 1.5 | 3.1 | 1.1 | 0.0 | 1.1 | 3.4 | 4.4 | - | - | - | 39.4 | 26.7 | 87.5 | - | 45.6 | 43.6 |
B. McDaniel
|
G | 28 | 9.2 | 3.0 | 1.5 | 0.3 | 0.7 | 0.1 | 0.6 | 2.3 | 2.7 | - | - | - | 42.2 | 50.0 | 66.7 | - | 53.8 | 49.2 |
G. Cooke
|
G | 20 | 5.8 | 1.9 | 0.6 | 0.4 | 0.1 | 0.0 | 0.7 | 2.0 | 0.3 | - | - | - | 27.5 | 0.0 | 65.2 | - | 36.9 | 27.5 |
M. Reynolds
|
F | 17 | 4.4 | 0.9 | 0.6 | 0.1 | 0.1 | 0.0 | 0.3 | 1.3 | 0.1 | - | - | - | 27.3 | 0.0 | 75.0 | - | 31.6 | 27.3 |
A. Sciolla
|
G | 13 | 2.5 | 0.5 | 0.6 | 0.1 | 0.0 | 0.0 | 0.0 | 0.4 | 0.8 | - | - | - | 60.0 | 100.0 | 0 | - | 70.0 | 70.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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