Maryland Terrapins
2026 Team Stats (33 games)
82.3
PPG
63.7
Opp
+18.6
Margin
45.4%
FG%
32.3%
3P%
76.1%
FT%
41.9
RPG
16.1
APG
15.3
TO
90.3
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1062 (#109) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +39.9 (#16) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.836 (#19) | AdjO 77.4 | AdjD 59.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.976 (#19) | 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 → | 0.965 (#19) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1279 (#28) | RD 116 | GP 33 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
O. Okananwa
|
G | 33 | 26.9 | 17.8 | 5.4 | 2.0 | 2.2 | 0.2 | 2.6 | 12.8 | 12.2 | 138 | 5.8 | 7.9 | 51.8 | 29.6 | 74.3 | 1.21 | 59.0 | 54.6 |
Y. Garzon
|
G | 33 | 32.2 | 12.5 | 4.0 | 3.0 | 1.1 | 0.4 | 2.0 | 11.1 | 7.8 | 188 | 7.8 | 9.6 | 40.5 | 36.7 | 87.5 | 3.09 | 54.3 | 52.6 |
K. Smikle
|
G | 8 | 15.4 | 11.5 | 3.4 | 1.4 | 0.6 | 0.1 | 1.6 | 7.9 | 7.5 | 11 | 1.6 | 2.8 | 44.4 | 35.0 | 90.6 | -0.2 | 59.7 | 50.0 |
A. Mack
|
G | 31 | 27.1 | 11.0 | 2.9 | 2.2 | 1.1 | 0.1 | 1.6 | 9.5 | 6.1 | 109 | 5.0 | 7.2 | 42.0 | 29.9 | 85.7 | 1.89 | 51.7 | 46.4 |
S. Poffenbarger
|
G | 31 | 29.9 | 9.5 | 7.2 | 3.2 | 1.9 | 0.6 | 2.1 | 8.9 | 11.5 | 90 | 4.1 | 5.4 | 38.5 | 30.9 | 74.0 | -0.27 | 49.7 | 46.9 |
I. Ozzy-Momodu
|
F | 31 | 18.3 | 8.0 | 6.4 | 0.7 | 0.8 | 1.0 | 1.8 | 6.1 | 8.9 | 145 | 6.0 | 11.9 | 57.4 | 0 | 53.7 | 2.54 | 57.8 | 57.4 |
K. Walker
|
G | 32 | 22.4 | 6.8 | 2.6 | 2.2 | 1.1 | 0.1 | 1.3 | 5.8 | 5.7 | 155 | 6.7 | 12.6 | 36.8 | 12.0 | 80.6 | 1.29 | 47.8 | 37.6 |
L. Bartelme
|
G | 4 | 19.8 | 6.8 | 3.0 | 3.8 | 0.8 | 0.0 | 2.2 | 5.2 | 6.8 | 44 | 11.0 | 18.2 | 52.4 | 42.9 | 66.7 | 1.41 | 60.5 | 59.5 |
M. McLean
|
G | 32 | 14.5 | 4.9 | 4.1 | 0.8 | 1.0 | 0.2 | 0.8 | 2.9 | 7.2 | 109 | 4.7 | 17.6 | 64.1 | 0 | 69.6 | 1.98 | 67.3 | 64.1 |
B. Williams
|
F | 24 | 10.2 | 4.7 | 2.8 | 0.4 | 0.3 | 0.2 | 0.9 | 3.0 | 4.6 | 72 | 3.8 | 14.7 | 48.6 | 26.7 | 72.2 | 0.78 | 59.0 | 51.4 |
R. Welson
|
G | 25 | 12.5 | 3.9 | 0.8 | 0.6 | 0.4 | 0.0 | 0.6 | 3.8 | 1.2 | 114 | 6.7 | 18.4 | 36.5 | 31.7 | 88.9 | 3.71 | 48.5 | 46.4 |
A. McKennie
|
G | 7 | 10.1 | 3.7 | 1.3 | 0.1 | 0.3 | 0.1 | 0.7 | 1.7 | 3.1 | 2 | 0.3 | 1.5 | 66.7 | 66.7 | 72.7 | -4.08 | 77.2 | 75.0 |
M. Boiko
|
F | 29 | 12.9 | 3.2 | 2.4 | 0.9 | 0.5 | 0.7 | 1.0 | 2.8 | 4.0 | 147 | 6.1 | 16.6 | 43.2 | 0.0 | 88.5 | 2.29 | 50.3 | 43.2 |
N. Fritea
|
F | 12 | 4.5 | 1.0 | 0.9 | 0.1 | 0.1 | 0.3 | 0.2 | 0.7 | 1.5 | 34 | 3.8 | 33.3 | 50.0 | 100.0 | 50.0 | 1.41 | 56.4 | 56.2 |
B. McDaniel
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 92 | 4.6 | 7.7 | - | - | - | 1.04 | - | - |
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