Wake Forest Demon Deacons
2025 Team Stats (8 games)
60.9
PPG
81.6
Opp
-20.7
Margin
42.3%
FG%
27.7%
3P%
74.0%
FT%
29.4
RPG
13.1
APG
19.9
TO
80.6
Pace
66.5
AdjO
58.8
AdjD
#94
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 → | 792 (#305) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 987 (#177) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.9 (#96) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.315 (#225) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.315 (#226) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.794 (#96) | AdjNet +11.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.807 (#95) | AdjNet +12.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.669 (#94) | AdjO 66.5 | AdjD 58.8 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-01-09 | @ | Notre Dame Fighting Irish | L | 64 - 100 |
| 2025-01-19 | vs | California Golden Bears | L | 55 - 67 |
| 2025-01-23 | @ | North Carolina Tar Heels | L | 51 - 76 |
| 2025-01-30 | vs | NC State Wolfpack | L | 83 - 90 |
| 2025-02-02 | @ | Florida State Seminoles | L | 68 - 97 |
| 2025-02-13 | vs | Duke Blue Devils | L | 47 - 72 |
| 2025-02-16 | @ | Georgia Tech Yellow Jackets | L | 62 - 73 |
| 2025-02-27 | @ | NC State Wolfpack | L | 57 - 78 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Theuerkauf
|
G | 8 | 30.8 | 13.0 | 1.8 | 1.0 | 0.5 | 0.1 | 3.6 | 11.9 | 0.9 | -13 | -0.4 | -0.8 | 42.1 | 25.6 | 82.4 | 0.65 | 50.7 | 47.4 |
E. Williams
|
G | 7 | 30.7 | 12.0 | 3.7 | 3.7 | 1.7 | 0.1 | 2.3 | 9.9 | 9.1 | -14 | -0.5 | -1.0 | 43.5 | 34.6 | 75.0 | 0.55 | 54.0 | 50.0 |
D. Hinds
|
F | 8 | 28.5 | 11.0 | 5.6 | 1.8 | 1.8 | 0.8 | 2.4 | 7.8 | 10.8 | -2 | -0.1 | -0.1 | 53.2 | 0.0 | 62.9 | 0.59 | 56.8 | 53.2 |
M. Cowles
|
F | 8 | 23.9 | 8.8 | 4.1 | 0.6 | 0.9 | 0.5 | 3.2 | 7.1 | 4.5 | 1 | 0.0 | 0.1 | 56.1 | 0 | 66.7 | 0.59 | 57.4 | 56.1 |
R. Conley
|
G | 8 | 27.4 | 8.4 | 4.5 | 1.9 | 0.8 | 0.1 | 2.1 | 6.9 | 6.6 | 2 | 0.1 | 0.1 | 45.5 | 37.5 | 100.0 | 0.9 | 58.6 | 56.4 |
T. Jones
|
G | 3 | 21.0 | 4.3 | 1.7 | 2.3 | 1.7 | 0.0 | 2.0 | 7.3 | 0.7 | 106 | 2.6 | 4.3 | 27.3 | 20.0 | 0 | 1.31 | 29.5 | 29.5 |
A. Andrews
|
G | 4 | 16.8 | 4.2 | 2.5 | 0.8 | 0.5 | 0.0 | 1.5 | 2.0 | 4.5 | 23 | 1.8 | 4.9 | 87.5 | 100.0 | 0 | 0.31 | 106.2 | 106.2 |
A. Sorbye
|
G | 8 | 30.5 | 3.5 | 2.1 | 2.9 | 0.4 | 0.2 | 3.1 | 4.9 | 1.1 | - | - | - | 20.5 | 0.0 | 85.7 | - | 31.0 | 20.5 |
M. Jordan
|
G | 7 | 11.1 | 2.3 | 1.6 | 0.0 | 0.1 | 0.1 | 0.3 | 3.9 | 0.0 | 6 | 0.2 | 0.6 | 22.2 | 23.5 | 0 | 0.32 | 29.6 | 29.6 |
K. Moore
|
F | 8 | 6.1 | 0.0 | 1.5 | 0.5 | 0.1 | 0.2 | 0.2 | 1.0 | 1.1 | 22 | 0.9 | 4.5 | 0.0 | 0.0 | 0 | -0.19 | 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