Villanova
2026 Team Stats (31 games)
76.6
PPG
71.0
Opp
+5.6
Margin
45.3%
FG%
35.0%
3P%
68.6%
FT%
34.1
RPG
15.5
APG
10.0
TO
78.2
Pace
80.8
AdjO
65.7
AdjD
#41
Rank
Model Outputs
2025-2026
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 → | 1195 (#45) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1283 (#22) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1060 (#92) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +15.3 (#41) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +25.6 (#49) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.713 (#63) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.951 (#26) | NetEff +23.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.912 (#38) | AdjNet +20.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.914 (#39) | AdjNet +20.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.798 (#41) | AdjO 80.8 | AdjD 65.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.624 (#92) | AdjO 75.8 | AdjD 70.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.911 (#44) | 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 → | 0.879 (#50) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1264 (#40) | RD 115 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Perkins
|
G | 31 | 30.2 | 13.6 | 5.5 | 1.6 | 1.3 | 0.3 | 0.8 | 11.1 | 10.4 | 88 | 4.2 | 7.5 | 43.4 | 36.1 | 72.7 | 0.33 | 55.4 | 52.3 |
D. Brennan
|
- | 30 | 31.2 | 12.5 | 10.3 | 2.0 | 0.8 | 0.5 | 2.0 | 6.8 | 17.3 | 136 | 6.8 | 11.1 | 66.2 | 0 | 61.9 | 1.14 | 67.3 | 66.2 |
Acaden Lewis
|
- | 31 | 30.9 | 12.5 | 3.1 | 5.3 | 1.9 | 0.1 | 2.0 | 10.7 | 10.2 | 96 | 4.6 | 7.3 | 45.9 | 28.1 | 58.0 | 0.3 | 51.9 | 50.0 |
B. Lindsay
|
G | 31 | 28.8 | 12.2 | 2.2 | 2.1 | 0.7 | 0.0 | 1.2 | 10.6 | 5.3 | 144 | 6.9 | 11.1 | 37.6 | 34.3 | 77.3 | 0.83 | 51.9 | 48.3 |
Matt Hodge
|
- | 27 | 27.8 | 9.3 | 3.7 | 0.6 | 0.4 | 0.6 | 0.7 | 7.3 | 6.6 | 123 | 5.9 | 10.3 | 44.9 | 35.2 | 65.9 | 0.62 | 58.0 | 56.3 |
D. Askew
|
G | 31 | 23.0 | 9.2 | 2.6 | 2.1 | 1.1 | 0.1 | 1.1 | 8.1 | 5.9 | 31 | 1.5 | 3.4 | 38.4 | 39.9 | 87.5 | -0.27 | 53.4 | 50.2 |
M. Palmer
|
- | 31 | 18.2 | 4.5 | 1.6 | 0.6 | 0.6 | 0.0 | 0.6 | 3.4 | 3.3 | 20 | 1.0 | 3.6 | 47.2 | 35.7 | 73.7 | -0.09 | 60.8 | 59.0 |
Christian Jeffrey
|
- | 21 | 7.9 | 3.2 | 1.0 | 0.9 | 0.6 | 0.0 | 0.2 | 2.2 | 3.2 | - | - | - | 50.0 | 35.7 | 80.0 | - | 61.1 | 55.4 |
T. Gapare
|
- | 8 | 16.4 | 2.9 | 2.9 | 0.5 | 0.6 | 0.8 | 0.5 | 2.9 | 4.2 | -12 | -1.3 | -4.9 | 26.1 | 25.0 | 88.9 | -0.32 | 42.7 | 32.6 |
Wade Chiddick
|
- | 2 | 1.5 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.5 | -1 | -1.0 | -11.6 | 0 | 0 | 75.0 | -0.02 | 85.2 | 0 |
B. Pierce
|
- | 28 | 6.6 | 1.2 | 0.9 | 0.5 | 0.1 | 0.4 | 0.4 | 0.8 | 1.9 | -24 | -1.4 | -14.3 | 65.2 | 0 | 60.0 | -0.6 | 65.5 | 65.2 |
Z. Stanford
|
G | 8 | 4.8 | 1.2 | 0.4 | 0.5 | 0.1 | 0.0 | 0.8 | 0.9 | 0.6 | -15 | -1.7 | -19.0 | 57.1 | 0.0 | 100.0 | -0.2 | 63.5 | 57.1 |
M. Flaggs
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Nico Onyekwere
|
C | 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