Maryland Terrapins
2025 Team Stats (32 games)
80.8
PPG
70.5
Opp
+10.0
Margin
46.1%
FG%
36.5%
3P%
76.7%
FT%
40.2
RPG
14.8
APG
16.2
TO
88.0
Pace
86.7
AdjO
61.4
AdjD
#26
Rank
Model Outputs
2024-2025
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 → | 1346 (#15) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1382 (#14) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +25.8 (#26) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.822 (#65) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.822 (#64) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.986 (#25) | AdjNet +36.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.988 (#25) | AdjNet +37.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.908 (#26) | AdjO 86.7 | AdjD 61.4 |
2025 Schedule & Results
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Smikle
|
G | 33 | 29.2 | 17.9 | 4.4 | 1.7 | 1.5 | 0.4 | 2.9 | 13.1 | 10.0 | 42 | 1.3 | 1.5 | 44.8 | 34.7 | 82.4 | 0.99 | 57.1 | 49.7 |
S. Sellers
|
G | 31 | 29.9 | 14.4 | 3.8 | 4.1 | 0.9 | 0.2 | 3.3 | 10.5 | 9.5 | 124 | 3.5 | 4.5 | 46.2 | 40.8 | 86.8 | 1.46 | 58.0 | 50.9 |
S. Te-Biasu
|
G | 32 | 32.4 | 10.6 | 1.9 | 2.6 | 0.8 | 0.0 | 1.6 | 8.3 | 6.1 | 52 | 1.6 | 1.8 | 44.9 | 45.0 | 94.6 | 1.21 | 60.4 | 57.5 |
B. McDaniel
|
G | 17 | 21.6 | 10.6 | 2.1 | 2.4 | 1.1 | 0.1 | 1.8 | 8.1 | 6.3 | 35 | 1.7 | 3.2 | 50.7 | 29.4 | 85.7 | 0.16 | 58.7 | 54.3 |
S. Poffenbarger
|
G | 30 | 26.4 | 9.1 | 7.2 | 1.9 | 1.0 | 0.7 | 2.2 | 8.1 | 9.6 | 25 | 0.8 | 1.2 | 38.3 | 29.9 | 86.2 | 0.62 | 51.0 | 46.1 |
A. Kubek
|
F | 33 | 24.6 | 9.1 | 4.7 | 1.1 | 0.4 | 0.6 | 1.0 | 6.2 | 8.8 | 81 | 2.5 | 3.4 | 57.6 | 32.1 | 64.5 | 1.87 | 63.7 | 62.1 |
C. Dalce
|
F | 33 | 21.7 | 8.3 | 7.5 | 0.8 | 0.7 | 0.9 | 1.9 | 6.8 | 9.6 | -19 | -0.5 | -0.9 | 47.3 | 0 | 55.9 | 0.39 | 50.2 | 47.3 |
M. McLean
|
G | 33 | 15.2 | 4.1 | 4.3 | 0.9 | 0.7 | 0.0 | 1.1 | 2.9 | 6.1 | 57 | 1.7 | 4.2 | 44.8 | 0.0 | 75.8 | 1.0 | 54.4 | 44.8 |
A. DeBerry
|
F | 22 | 7.6 | 2.5 | 1.2 | 0.4 | 0.0 | 0.7 | 1.0 | 2.2 | 1.7 | 19 | 0.8 | 2.9 | 54.2 | 0.0 | 57.1 | 0.0 | 54.8 | 54.2 |
E. Fisher
|
G | 19 | 10.9 | 1.7 | 1.4 | 0.6 | 0.4 | 0.1 | 0.8 | 1.4 | 1.8 | 12 | 0.6 | 2.3 | 42.3 | 50.0 | 56.2 | -0.2 | 48.4 | 44.2 |
A. McKennie
|
G | 21 | 8.7 | 1.3 | 1.2 | 0.3 | 0.4 | 0.3 | 0.3 | 1.6 | 1.6 | 12 | 0.6 | 3.0 | 32.4 | 0.0 | 54.5 | -0.34 | 36.0 | 32.4 |
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