Villanova
2018 Team Stats (33 games)
86.5
PPG
70.7
Opp
+15.8
Margin
50.0%
FG%
39.8%
3P%
79.3%
FT%
36.0
RPG
16.4
APG
10.6
TO
-
Est. poss./game
87.5
Adj PPG
64.1
Adj Opp PPG
#1
Scoring Rank
Model Outputs
2017-2018
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 | 1617 (#1) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1436 (#2) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1260 (#1) | HCA +95 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +24.8 (#1) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +25.9 (#1) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.918 (#5) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.981 (#1) | AdjNet +33.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.981 (#1) | AdjNet +34.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.894 (#1) | AdjO 87.5 | AdjD 64.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.849 (#1) | AdjO 84.9 | AdjD 65.9 |
| 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 | 0.937 (#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 | 1488 (#1) | RD 85 | GP 40 |
2018 Schedule & Results
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jalen Brunson
|
- | 40 | 31.8 | 18.9 | 3.0 | 4.6 | 0.9 | 0.0 | 1.8 | 11.6 | 14.1 | - | - | - | - | 51.9 | 40.6 | 82.8 | - | 71.3 | 60.3 |
Mikal Bridges
|
- | 40 | 32.1 | 17.6 | 5.3 | 1.9 | 1.5 | 1.1 | 1.4 | 10.1 | 16.0 | - | - | - | - | 51.0 | 43.3 | 86.7 | - | 77.3 | 61.9 |
Donte DiVincenzo
|
- | 40 | 29.2 | 13.4 | 4.8 | 3.5 | 1.1 | 0.2 | 2.0 | 8.6 | 12.4 | - | - | - | - | 47.4 | 39.7 | 72.2 | - | 70.4 | 58.3 |
Omari Spellman
|
- | 40 | 28.1 | 10.8 | 8.0 | 0.8 | 0.7 | 1.5 | 1.0 | 7.4 | 13.3 | - | - | - | - | 49.7 | 44.6 | 68.8 | - | 66.9 | 60.1 |
Eric Paschall
|
- | 38 | 29.8 | 10.6 | 5.3 | 2.2 | 0.9 | 0.6 | 1.7 | 6.2 | 11.7 | - | - | - | - | 56.1 | 38.9 | 80.8 | - | 74.1 | 63.5 |
Phil Booth
|
G | 33 | 27.4 | 10.0 | 3.2 | 2.9 | 0.8 | 0.2 | 1.4 | 6.1 | 9.6 | - | - | - | - | 42.6 | 36.9 | 82.4 | - | 71.4 | 53.7 |
Collin Gillespie
|
- | 32 | 14.4 | 4.2 | 1.3 | 1.1 | 0.6 | 0.1 | 0.4 | 2.8 | 4.0 | - | - | - | - | 45.1 | 39.1 | 76.9 | - | 66.4 | 59.9 |
Dhamir Cosby-Roundtree
|
F | 40 | 11.3 | 3.1 | 2.4 | 0.1 | 0.2 | 0.4 | 0.5 | 1.6 | 4.1 | - | - | - | - | 78.5 | 0 | 65.4 | - | 81.1 | 78.5 |
Jermaine Samuels
|
- | 23 | 6.7 | 1.2 | 1.3 | 0.3 | 0.0 | 0.1 | 0.5 | 1.1 | 1.3 | - | - | - | - | 16.0 | 13.3 | 50.0 | - | 45.9 | 20.0 |
Matt Kennedy
|
G | 11 | 1.5 | 0.2 | 0.3 | 0.0 | 0.0 | 0.1 | 0.0 | 0.1 | 0.5 | - | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
Denny Grace
|
G | 14 | 1.4 | 0.2 | 0.4 | 0.0 | 0.0 | 0.0 | 0.1 | 0.2 | 0.2 | - | - | - | - | 33.3 | 33.3 | 0 | - | 50.0 | 50.0 |
Tim Delaney
|
F | 20 | 2.5 | 0.1 | 0.2 | 0.1 | 0.0 | 0.0 | 0.1 | 0.3 | 0.2 | - | - | - | - | 16.7 | 20.0 | 0 | - | 25.0 | 25.0 |
Tom Leibig
|
F | 14 | 1.6 | 0.1 | 0.2 | 0.0 | 0.1 | 0.0 | 0.1 | 0.4 | 0.0 | - | - | - | - | 20.0 | 0.0 | 0 | - | 20.0 | 20.0 |
Peyton Heck
|
G | 10 | 1.5 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.1 | - | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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