Villanova
2016 Team Stats (33 games)
78.0
PPG
64.2
Opp
+13.8
Margin
48.1%
FG%
36.6%
3P%
79.1%
FT%
34.8
RPG
16.4
APG
11.2
TO
-
Est. poss./game
79.4
Adj PPG
58.1
Adj Opp PPG
#1
Scoring Rank
Model Outputs
2015-2016
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 โ | 1603 (#1) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1451 (#1) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1297 (#1) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +22.6 (#1) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +26.8 (#1) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.912 (#4) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.978 (#1) | AdjNet +32.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.978 (#1) | AdjNet +33.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.873 (#1) | AdjO 79.4 | AdjD 58.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.861 (#1) | AdjO 80.3 | AdjD 60.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.942 (#1) | 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 โ | 0.940 (#1) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1481 (#1) | RD 85 | GP 40 |
2016 Schedule & Results
2016 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Josh Hart
|
G | 39 | 31.4 | 15.6 | 6.8 | 1.9 | 1.2 | 0.3 | 1.6 | 9.7 | 14.4 | 362 | 32 | 11.3 | 15.9 | 50.8 | 34.6 | 74.2 | 4.79 | 70.6 | 56.6 |
Kris Jenkins
|
F | 39 | 28.4 | 13.8 | 4.0 | 2.2 | 0.8 | 0.4 | 1.3 | 8.5 | 11.4 | 294 | 32 | 9.2 | 14.2 | 45.3 | 38.9 | 85.0 | 3.41 | 71.9 | 58.3 |
Ryan Arcidiacono
|
G | 39 | 32.1 | 12.5 | 3.0 | 4.3 | 1.4 | 0.0 | 1.5 | 8.3 | 11.4 | 377 | 32 | 11.8 | 16.0 | 42.2 | 37.3 | 84.5 | 4.79 | 66.9 | 51.9 |
Daniel Ochefu
|
F | 36 | 23.4 | 10.1 | 7.4 | 1.7 | 0.8 | 1.6 | 1.3 | 5.5 | 14.8 | 267 | 30 | 8.9 | 16.8 | 64.1 | 0.0 | 69.5 | 0.92 | 77.5 | 64.1 |
Jalen Brunson
|
- | 39 | 24.0 | 9.7 | 1.7 | 2.5 | 0.7 | 0.0 | 1.8 | 6.0 | 6.8 | 277 | 32 | 8.7 | 15.8 | 47.6 | 41.8 | 76.9 | 3.82 | 69.0 | 57.5 |
Phil Booth
|
G | 39 | 21.8 | 6.9 | 2.1 | 2.2 | 0.8 | 0.1 | 1.4 | 5.1 | 5.5 | 215 | 32 | 6.7 | 13.5 | 34.0 | 29.7 | 85.7 | 1.4 | 60.3 | 41.5 |
Mikal Bridges
|
- | 39 | 20.2 | 6.4 | 3.1 | 0.9 | 1.0 | 0.6 | 0.6 | 3.6 | 7.8 | 117 | 32 | 3.7 | 8.1 | 53.5 | 31.7 | 81.0 | -0.33 | 74.3 | 60.6 |
Darryl Reynolds
|
F | 39 | 17.2 | 3.7 | 4.5 | 0.4 | 0.4 | 0.5 | 0.7 | 1.8 | 7.0 | 88 | 32 | 2.8 | 7.2 | 64.8 | 0 | 75.8 | -2.11 | 72.8 | 64.8 |
Donte DiVincenzo
|
- | 8 | 9.0 | 1.9 | 2.0 | 0.5 | 0.5 | 0.0 | 0.9 | 1.0 | 3.0 | 5 | 6 | 0.8 | 4.9 | 37.5 | 28.6 | 0 | -1.99 | 93.8 | 50.0 |
Patrick Farrell
|
F | 16 | 1.9 | 0.4 | 0.2 | 0.1 | 0.0 | 0.0 | 0.1 | 0.3 | 0.2 | -2 | 11 | -0.2 | -4.4 | 40.0 | 40.0 | 0 | -1.93 | 60.0 | 60.0 |
Kevin Rafferty
|
F | 15 | 1.8 | 0.3 | 0.1 | 0.0 | 0.0 | 0.0 | 0.2 | 0.3 | -0.1 | -4 | 11 | -0.4 | -8.4 | 40.0 | 0.0 | 0 | -2.48 | 40.0 | 40.0 |
Henry Lowe
|
G | 15 | 1.7 | 0.0 | 0.0 | 0.1 | 0.1 | 0.0 | 0.3 | 0.1 | -0.1 | -11 | 11 | -1.0 | -20.8 | 0.0 | 0.0 | 0 | -3.62 | 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