Villanova Wildcats
2026 Team Stats (30 games)
70.9
PPG
62.4
Opp
+8.5
Margin
43.6%
FG%
34.1%
3P%
78.8%
FT%
34.8
RPG
17.4
APG
13.7
TO
80.4
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 → | 1087 (#81) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +29.1 (#44) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.717 (#56) | AdjO 68.4 | AdjD 58.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.946 (#38) | 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 → | 0.926 (#36) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1260 (#44) | RD 120 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Bascoe
|
G | 30 | 33.3 | 19.6 | 4.0 | 4.9 | 2.0 | 0.1 | 2.8 | 19.1 | 8.6 | 87 | 3.8 | 3.8 | 40.5 | 27.0 | 83.1 | 1.36 | 48.2 | 45.2 |
B. McCurry
|
F | 30 | 26.3 | 10.7 | 5.2 | 3.0 | 1.0 | 0.5 | 1.8 | 7.7 | 10.9 | 99 | 4.3 | 5.6 | 52.6 | 38.5 | 85.5 | 1.97 | 61.6 | 57.0 |
K. Henry
|
G | 28 | 29.4 | 8.9 | 4.4 | 2.9 | 2.3 | 0.8 | 1.8 | 8.6 | 8.9 | 97 | 4.6 | 5.9 | 40.9 | 28.7 | 70.4 | 3.54 | 49.2 | 47.7 |
D. Carter
|
F | 29 | 20.7 | 8.4 | 4.9 | 2.3 | 1.3 | 1.2 | 1.8 | 7.0 | 9.3 | 75 | 3.0 | 5.3 | 51.2 | 40.9 | 65.9 | 1.44 | 55.2 | 53.4 |
R. Allen
|
G | 29 | 18.3 | 7.4 | 2.2 | 0.9 | 0.4 | 0.3 | 0.9 | 5.0 | 5.3 | 93 | 4.0 | 7.4 | 49.3 | 43.6 | 77.8 | 1.59 | 66.7 | 64.4 |
K. Joens
|
G | 30 | 19.9 | 5.4 | 3.0 | 0.7 | 0.8 | 0.1 | 0.6 | 4.3 | 5.2 | 20 | 0.9 | 1.3 | 41.4 | 37.5 | 83.3 | -0.92 | 58.5 | 55.5 |
B. Bender
|
F | 29 | 15.2 | 4.4 | 2.5 | 0.4 | 0.6 | 0.2 | 0.5 | 4.0 | 3.8 | 53 | 2.3 | 5.4 | 40.0 | 35.6 | 100.0 | 2.03 | 55.9 | 55.7 |
D. Ceseretti
|
G | 29 | 21.5 | 4.1 | 2.4 | 1.3 | 0.7 | 0.4 | 1.4 | 4.1 | 3.5 | 64 | 2.9 | 5.5 | 38.1 | 42.1 | 100.0 | 0.28 | 47.9 | 44.9 |
K. Watson
|
F | 24 | 11.3 | 2.3 | 2.1 | 0.9 | 0.2 | 0.5 | 1.0 | 2.0 | 3.0 | -10 | -0.6 | -2.2 | 41.7 | 0.0 | 71.4 | -2.94 | 48.0 | 41.7 |
M. Ntambue
|
G | 22 | 10.2 | 1.2 | 1.0 | 0.9 | 0.4 | 0.0 | 0.8 | 1.6 | 1.1 | -20 | -1.1 | -3.3 | 31.4 | 40.0 | 50.0 | -3.6 | 35.4 | 34.3 |
R. Wirts
|
F | 14 | 5.8 | 1.1 | 1.3 | 0.1 | 0.1 | 0.1 | 0.5 | 1.2 | 1.1 | -7 | -0.5 | -2.9 | 41.2 | 50.0 | 0.0 | -1.22 | 45.9 | 47.1 |
A. Welde
|
F | 10 | 2.0 | 0.3 | 0.4 | 0.2 | 0.0 | 0.0 | 0.2 | 0.7 | 0.0 | -8 | -0.9 | -16.4 | 14.3 | 0.0 | 50.0 | -0.74 | 19.0 | 14.3 |
M. Grant
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -9 | -0.6 | -18.7 | - | - | - | -0.86 | - | - |
Elise Bender
|
F | 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