Wake Forest
2024 Team Stats (35 games)
78.1
PPG
70.7
Opp
+7.4
Margin
47.4%
FG%
36.4%
3P%
79.5%
FT%
34.2
RPG
12.3
APG
10.7
TO
77.3
Pace
Model Outputs
2023-2024
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 → | 1205 (#99) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1308 (#57) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +34.5 (#48) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.675 (#21) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.759 (#38) | NetEff +10.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.761 (#20) | AdjNet +10.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.764 (#20) | AdjNet +10.1 |
2024 Schedule & Results
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
H. Sallis
|
- | 34 | 35.4 | 18.0 | 4.1 | 2.5 | 1.1 | 0.6 | 1.9 | 13.5 | 10.8 | 28 | 2.8 | 3.2 | 48.7 | 40.5 | 78.3 | 0.16 | 60.0 | 56.8 |
B. Miller
|
- | 35 | 32.0 | 15.6 | 2.8 | 3.5 | 1.4 | 0.0 | 2.5 | 11.6 | 9.3 | -39 | -4.3 | -7.4 | 46.4 | 36.9 | 84.5 | -0.18 | 57.6 | 51.1 |
Cameron Hildreth
|
G | 35 | 34.1 | 13.8 | 4.7 | 2.4 | 1.0 | 0.2 | 2.1 | 10.3 | 9.7 | 35 | 2.2 | 3.8 | 45.4 | 35.1 | 80.4 | 0.43 | 57.0 | 51.0 |
Andrew Carr
|
F | 35 | 32.5 | 13.5 | 6.8 | 1.5 | 0.5 | 1.5 | 1.2 | 8.9 | 13.5 | 41 | 3.7 | 4.7 | 52.6 | 37.1 | 78.1 | 0.53 | 63.3 | 58.3 |
E. Reid III
|
F | 28 | 27.5 | 9.6 | 7.9 | 1.6 | 0.6 | 1.3 | 1.6 | 6.9 | 12.5 | 70 | 3.0 | 17.3 | 54.6 | 28.1 | 84.2 | 0.2 | 61.4 | 57.0 |
D. Monsanto
|
G | 11 | 12.5 | 5.1 | 2.2 | 0.6 | 0.4 | 0.3 | 0.4 | 4.5 | 3.6 | 13 | 2.6 | 12.4 | 34.0 | 34.7 | 100.0 | 0.16 | 53.6 | 51.0 |
Parker Friedrichsen
|
G | 35 | 18.0 | 5.1 | 1.3 | 0.6 | 0.7 | 0.1 | 0.3 | 4.3 | 3.2 | 23 | 0.9 | 4.7 | 39.6 | 36.5 | 69.2 | 0.59 | 57.2 | 56.4 |
M. Marsh
|
C | 22 | 10.3 | 1.7 | 2.4 | 0.1 | 0.2 | 0.4 | 0.3 | 1.1 | 3.3 | -5 | -0.6 | -4.5 | 68.0 | 50.0 | 60.0 | -0.08 | 69.9 | 70.0 |
Z. Keller
|
- | 27 | 11.0 | 1.6 | 2.0 | 0.1 | 0.3 | 0.4 | 0.4 | 1.7 | 2.3 | -8 | -1.3 | -8.3 | 34.8 | 29.2 | 36.4 | -0.07 | 42.3 | 42.4 |
Marqus Marion
|
- | 21 | 11.1 | 1.1 | 2.0 | 0.1 | 0.3 | 0.2 | 0.2 | 0.7 | 2.9 | -23 | -2.9 | -58.8 | 50.0 | 40.0 | 58.3 | -0.15 | 59.6 | 57.1 |
Vincent Ricchiuti
|
- | 6 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 0.3 | - | - | - | 50.0 | 50.0 | 0 | - | 75.0 | 75.0 |
K. Dunn
|
- | 4 | 0.8 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.2 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
A. Canka
|
- | 15 | 3.3 | 0.5 | 0.3 | 0.1 | 0.0 | 0.0 | 0.2 | 0.7 | -0.1 | -3 | -1.5 | -10.7 | 27.3 | 20.0 | 0 | -0.0 | 31.8 | 31.8 |
A. Clark
|
- | 7 | 4.3 | 0.0 | 0.1 | 0.1 | 0.6 | 0.3 | 0.1 | 1.1 | -0.1 | 55 | 7.9 | 10.4 | 0.0 | 0.0 | 0 | 0.38 | 0.0 | 0.0 |
O. Kmety
|
- | 4 | 0.8 | 0.0 | 0.2 | 0.2 | 0.0 | 0.2 | 0.2 | 0.0 | 0.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Will Underwood
|
- | 6 | 1.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | - | - | - | 0.0 | 0 | 0 | - | 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