Villanova
2019 Team Stats (25 games)
73.6
PPG
69.3
Opp
+4.3
Margin
43.3%
FG%
34.6%
3P%
72.4%
FT%
33.7
RPG
13.8
APG
10.3
TO
-
Est. poss./game
74.5
Adj PPG
62.2
Adj Opp PPG
#33
Scoring Rank
Model Outputs
2018-2019
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 | Data withheld: source-integrity hold | Historical Elo fit predates the season cutoff fix and has no verified season-bounded input receipt. |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1259 (#24) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1097 (#50) | HCA +83 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +13.3 (#33) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +10.1 (#46) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.738 (#48) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.902 (#34) | AdjNet +19.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.903 (#35) | AdjNet +19.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.754 (#33) | AdjO 74.5 | AdjD 62.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.624 (#54) | AdjO 70.9 | AdjD 65.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.800 (#29) | 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 | 0.780 (#33) | 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 | 1292 (#20) | RD 104 | GP 36 |
2019 Schedule & Results
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Phil Booth
|
G | 36 | 35.2 | 18.6 | 3.9 | 3.8 | 0.8 | 0.2 | 2.3 | 11.4 | 13.5 | 144 | 30 | 4.8 | 5.6 | 42.0 | 35.0 | 73.7 | 4.22 | 69.7 | 50.7 |
Eric Paschall
|
- | 36 | 36.1 | 16.5 | 6.1 | 2.1 | 0.7 | 0.5 | 2.3 | 9.6 | 14.1 | 93 | 29 | 3.2 | 3.6 | 44.7 | 33.1 | 73.4 | 0.0 | 71.4 | 52.0 |
Collin Gillespie
|
- | 35 | 29.5 | 10.9 | 2.4 | 2.8 | 1.1 | 0.1 | 1.5 | 6.7 | 9.0 | 120 | 29 | 4.1 | 5.8 | 41.0 | 38.0 | 84.0 | 1.22 | 70.5 | 54.5 |
Saddiq Bey
|
- | 36 | 29.6 | 8.2 | 5.1 | 1.3 | 0.9 | 0.3 | 0.8 | 5.3 | 9.7 | 113 | 30 | 3.8 | 4.9 | 46.1 | 38.9 | 63.6 | 0.8 | 72.0 | 57.1 |
Jermaine Samuels
|
- | 35 | 22.0 | 6.4 | 5.4 | 1.0 | 0.4 | 0.8 | 1.0 | 3.9 | 9.1 | 77 | 29 | 2.7 | 5.1 | 46.4 | 36.9 | 60.0 | -0.67 | 68.4 | 57.6 |
Dhamir Cosby-Roundtree
|
F | 36 | 20.6 | 5.1 | 5.8 | 0.8 | 0.8 | 0.9 | 0.7 | 2.5 | 10.1 | 1 | 29 | 0.0 | 0.1 | 66.7 | 0 | 77.5 | -2.34 | 85.0 | 66.7 |
Joe Cremo
|
G | 36 | 16.6 | 4.0 | 1.8 | 1.2 | 0.4 | 0.1 | 0.8 | 3.1 | 3.7 | 105 | 30 | 3.5 | 8.6 | 34.5 | 30.6 | 68.8 | 1.83 | 61.9 | 46.4 |
Cole Swider
|
- | 21 | 9.5 | 3.5 | 1.2 | 0.6 | 0.1 | 0.0 | 0.4 | 2.3 | 2.7 | 4 | 16 | 0.2 | 1.2 | 34.7 | 26.5 | 71.4 | -2.18 | 66.2 | 43.9 |
Jahvon Quinerly
|
- | 25 | 9.2 | 3.2 | 0.8 | 0.9 | 0.2 | 0.0 | 0.8 | 2.2 | 2.0 | 13 | 20 | 0.7 | 2.9 | 33.9 | 25.7 | 100.0 | 0.25 | 67.4 | 42.0 |
Dylan Painter
|
F | 2 | 6.0 | 2.5 | 3.0 | 0.5 | 0.0 | 1.0 | 0.0 | 1.5 | 5.5 | - | - | - | - | 66.7 | 0 | 25.0 | - | 52.5 | 66.7 |
Brandon Slater
|
- | 15 | 3.5 | 0.3 | 0.6 | 0.1 | 0.1 | 0.2 | 0.3 | 0.6 | 0.4 | -13 | 11 | -1.2 | -16.0 | 22.2 | 0.0 | 0.0 | -3.1 | 20.2 | 22.2 |
Tim Delaney
|
F | 7 | 1.0 | 0.1 | 0.4 | 0.0 | 0.0 | 0.1 | 0.1 | 0.0 | 0.6 | -6 | 6 | -1.0 | -32.7 | 0 | 0 | 50.0 | -2.02 | 56.8 | 0 |
Peyton Heck
|
G | 2 | 1.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | - | - | - | - | 0 | 0 | 0 | -2.24 | 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