Xavier
2018 Team Stats (30 games)
83.1
PPG
74.7
Opp
+8.5
Margin
48.3%
FG%
37.0%
3P%
77.9%
FT%
38.5
RPG
16.3
APG
12.8
TO
-
Est. poss./game
84.9
Adj PPG
68.9
Adj Opp PPG
#13
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 | 1452 (#8) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1339 (#7) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1124 (#30) | HCA +95 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +17.3 (#12) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +16.1 (#15) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.801 (#25) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.942 (#14) | AdjNet +24.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.943 (#15) | AdjNet +24.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.811 (#13) | AdjO 84.9 | AdjD 68.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.716 (#21) | AdjO 81.2 | AdjD 71.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.864 (#11) | 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 | 0.851 (#13) | 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 | 1373 (#6) | RD 109 | GP 35 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Trevon Bluiett
|
G | 35 | 34.3 | 19.3 | 5.5 | 2.5 | 0.7 | 0.3 | 2.0 | 11.9 | 14.4 | 225 | 26 | 8.7 | 10.9 | 42.5 | 41.2 | 84.4 | 4.73 | 68.7 | 53.7 |
J.P. Macura
|
G | 34 | 29.7 | 12.9 | 4.5 | 2.9 | 1.4 | 0.4 | 2.0 | 8.0 | 12.0 | 200 | 26 | 7.7 | 11.4 | 46.5 | 38.1 | 81.4 | 3.54 | 69.2 | 54.8 |
Kerem Kanter
|
F | 35 | 16.4 | 10.9 | 4.5 | 0.5 | 0.3 | 0.3 | 0.8 | 6.7 | 8.9 | 87 | 26 | 3.3 | 8.8 | 57.9 | 34.7 | 78.6 | 0.63 | 70.2 | 61.5 |
Quentin Goodin
|
G | 35 | 29.7 | 8.7 | 2.9 | 4.9 | 0.9 | 0.2 | 2.3 | 6.2 | 9.1 | 186 | 26 | 7.2 | 10.5 | 45.2 | 32.2 | 77.6 | 1.27 | 59.6 | 49.5 |
Naji Marshall
|
- | 35 | 21.8 | 7.7 | 4.4 | 1.6 | 0.7 | 0.3 | 1.6 | 4.7 | 8.5 | 108 | 26 | 4.2 | 8.2 | 52.8 | 36.6 | 77.0 | 2.89 | 69.3 | 57.4 |
Kaiser Gates
|
F | 34 | 23.8 | 7.2 | 4.6 | 0.9 | 0.5 | 0.3 | 0.6 | 4.3 | 8.5 | 162 | 26 | 6.2 | 11.2 | 42.5 | 38.3 | 84.1 | 3.34 | 74.1 | 57.5 |
Tyrique Jones
|
F | 32 | 15.0 | 7.0 | 4.5 | 0.5 | 0.6 | 0.6 | 0.8 | 3.4 | 9.0 | 48 | 23 | 2.1 | 6.0 | 59.6 | 0 | 58.8 | -2.82 | 77.7 | 59.6 |
Sean O'Mara
|
F | 35 | 14.6 | 6.7 | 3.2 | 1.0 | 0.3 | 0.7 | 0.8 | 4.2 | 6.9 | 96 | 26 | 3.7 | 11.1 | 58.2 | 0 | 75.6 | 0.74 | 70.9 | 58.2 |
Paul Scruggs
|
G | 34 | 16.8 | 4.9 | 2.0 | 1.7 | 0.5 | 0.3 | 1.4 | 3.4 | 4.6 | -12 | 25 | -0.5 | -1.3 | 45.6 | 30.0 | 71.1 | -4.13 | 64.3 | 50.9 |
Elias Harden
|
F | 17 | 5.9 | 0.7 | 0.2 | 0.4 | 0.1 | 0.0 | 0.4 | 0.8 | 0.3 | 33 | 11 | 3.0 | 28.0 | 23.1 | 16.7 | 75.0 | 1.7 | 40.7 | 26.9 |
Leighton Schrand
|
G | 5 | 1.4 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.8 | 0.0 | -0.6 | - | - | - | - | 0 | 0 | 0 | -2.74 | 0 | 0 |
Nick Vanderpohl
|
G | 4 | 1.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | - | - | - | - | 0 | 0 | 0 | -1.86 | 0 | 0 |
Matt Singleton
|
F | 6 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | -1.86 | 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