Villanova
2024 Team Stats (34 games)
70.2
PPG
65.6
Opp
+4.6
Margin
42.5%
FG%
33.8%
3P%
80.8%
FT%
34.8
RPG
12.9
APG
9.6
TO
73.6
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 → | 1383 (#26) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1307 (#58) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +37.3 (#32) | HCA +2.7 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.686 (#76) | NetEff +7.1 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Eric Dixon
|
- | 34 | 30.5 | 16.6 | 6.5 | 1.7 | 0.8 | 0.4 | 1.8 | 12.2 | 12.1 | 35 | 3.9 | 6.0 | 46.5 | 34.6 | 86.2 | 0.58 | 59.1 | 53.1 |
Tj Bamba
|
- | 33 | 28.1 | 10.1 | 3.6 | 1.8 | 0.8 | 0.3 | 1.4 | 8.0 | 7.2 | -2 | -0.2 | -0.4 | 43.0 | 36.9 | 82.4 | -0.01 | 56.1 | 51.5 |
J. Moore
|
- | 29 | 29.6 | 9.8 | 3.6 | 2.2 | 0.6 | 0.4 | 0.9 | 9.1 | 6.6 | -9 | -3.0 | -58.7 | 38.4 | 31.2 | 86.4 | -0.08 | 50.3 | 46.8 |
Armstrong, Mark
|
- | 34 | 24.5 | 8.4 | 2.3 | 2.4 | 0.9 | 0.2 | 1.7 | 7.6 | 4.8 | - | - | - | 41.7 | 28.2 | 77.6 | - | 50.1 | 46.3 |
T. Burton
|
- | 34 | 24.9 | 7.5 | 6.1 | 1.0 | 0.7 | 0.3 | 0.5 | 5.8 | 9.2 | 15 | 1.7 | 3.9 | 40.1 | 32.7 | 75.0 | 0.17 | 54.3 | 48.5 |
Jordan Longino
|
G | 29 | 21.7 | 6.6 | 2.5 | 1.5 | 0.8 | 0.2 | 1.0 | 5.7 | 5.0 | 10 | 1.7 | 4.9 | 40.9 | 32.5 | 83.3 | 0.17 | 52.8 | 48.8 |
H. Hart
|
- | 34 | 22.2 | 6.3 | 3.2 | 1.6 | 0.8 | 0.1 | 0.9 | 4.9 | 6.3 | 6 | 0.7 | 1.7 | 46.4 | 32.9 | 79.5 | 0.05 | 57.8 | 54.5 |
B. Hausen
|
- | 34 | 17.6 | 6.2 | 1.6 | 0.5 | 0.4 | 0.0 | 0.6 | 5.2 | 3.0 | 15 | 1.7 | 4.4 | 39.2 | 38.1 | 86.7 | 0.32 | 58.1 | 56.5 |
L. Ware
|
F | 33 | 10.5 | 1.2 | 2.3 | 0.5 | 0.2 | 0.4 | 0.5 | 0.9 | 3.2 | -19 | -2.1 | -14.1 | 48.3 | 0 | 55.6 | -0.32 | 51.5 | 48.3 |
N. Njoku
|
F | 11 | 4.6 | 0.8 | 1.9 | 0.1 | 0.1 | 0.5 | 0.3 | 0.5 | 2.5 | - | - | - | 50.0 | 0 | 75.0 | - | 58.0 | 50.0 |
Arcidiacono, Chris
|
- | 19 | 3.4 | 0.1 | 0.3 | 0.2 | 0.0 | 0.0 | 0.2 | 0.2 | 0.3 | - | - | - | 0.0 | 0.0 | 50.0 | - | 21.0 | 0.0 |
C. O'Toole
|
- | 3 | 1.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | - | - | - | 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