Xavier
2017 Team Stats (24 games)
75.7
PPG
70.4
Opp
+5.3
Margin
46.8%
FG%
36.8%
3P%
69.8%
FT%
36.1
RPG
15.2
APG
12.1
TO
-
Est. poss./game
78.0
Adj PPG
65.0
Adj Opp PPG
#31
Scoring Rank
Model Outputs
2016-2017
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 | 1365 (#23) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1247 (#32) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1097 (#50) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +14.2 (#31) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +12.7 (#36) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.627 (#94) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.905 (#33) | AdjNet +19.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.908 (#34) | AdjNet +19.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.765 (#31) | AdjO 78.0 | AdjD 65.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.658 (#43) | AdjO 74.6 | AdjD 67.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.818 (#30) | 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 | 0.802 (#30) | 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 | 1285 (#27) | RD 88 | GP 38 |
2017 Schedule & Results
2017 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 | 31 | 34.9 | 18.4 | 5.5 | 2.2 | 0.8 | 0.1 | 2.3 | 10.7 | 14.1 | 105 | 29 | 3.6 | 4.4 | 45.9 | 41.1 | 77.0 | 1.05 | 72.6 | 56.3 |
Edmond Sumner
|
- | 18 | 33.1 | 14.8 | 4.4 | 5.1 | 1.2 | 0.8 | 2.7 | 7.3 | 16.3 | 119 | 17 | 7.0 | 9.4 | 47.0 | 32.1 | 75.9 | 2.58 | 78.1 | 50.4 |
J.P. Macura
|
G | 33 | 33.7 | 14.6 | 4.3 | 3.1 | 1.4 | 0.2 | 2.1 | 7.8 | 13.6 | 92 | 31 | 3.0 | 3.8 | 44.2 | 37.2 | 75.7 | 2.0 | 79.5 | 52.3 |
Rashid Gaston
|
F | 33 | 18.2 | 7.4 | 6.2 | 0.6 | 0.1 | 0.5 | 1.1 | 3.3 | 10.4 | 58 | 31 | 1.9 | 4.2 | 61.1 | 0 | 54.0 | 1.42 | 93.8 | 61.1 |
Malcolm Bernard
|
G | 33 | 28.2 | 6.7 | 4.2 | 1.5 | 1.0 | 0.4 | 1.5 | 4.2 | 8.0 | 101 | 31 | 3.3 | 4.8 | 42.1 | 39.5 | 59.5 | 2.12 | 69.4 | 52.9 |
Sean O'Mara
|
F | 33 | 14.2 | 6.7 | 3.1 | 0.6 | 0.3 | 0.4 | 0.8 | 2.8 | 7.5 | 24 | 31 | 0.8 | 2.5 | 59.6 | 0 | 68.5 | 0.65 | 93.4 | 59.6 |
Kaiser Gates
|
F | 29 | 20.7 | 5.7 | 4.0 | 0.6 | 0.4 | 0.2 | 0.7 | 3.7 | 6.4 | -44 | 28 | -1.6 | -3.3 | 35.2 | 31.3 | 68.4 | -2.31 | 70.5 | 47.2 |
Quentin Goodin
|
G | 33 | 24.1 | 5.2 | 2.1 | 3.4 | 0.9 | 0.2 | 2.0 | 4.3 | 5.5 | 27 | 31 | 0.9 | 1.5 | 38.0 | 31.4 | 57.4 | 1.65 | 52.2 | 41.9 |
Tyrique Jones
|
F | 31 | 11.2 | 4.0 | 3.1 | 0.3 | 0.2 | 0.4 | 0.7 | 2.3 | 5.0 | 32 | 30 | 1.1 | 4.1 | 61.4 | 0 | 48.1 | -0.2 | 75.1 | 61.4 |
Myles Davis
|
G | 3 | 11.3 | 0.7 | 0.7 | 0.0 | 0.3 | 0.0 | 0.7 | 2.0 | -1.0 | - | - | - | - | 0.0 | 0.0 | 100.0 | -1.51 | 14.5 | 0.0 |
Leighton Schrand
|
G | 7 | 1.0 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.1 | 0.1 | -5 | 6 | -0.8 | -45.3 | 0.0 | 0 | 100.0 | -1.82 | 79.8 | 0.0 |
Tim Stainbrook
|
F | 11 | 3.0 | 0.3 | 0.2 | 0.2 | 0.0 | 0.1 | 0.0 | 0.5 | 0.3 | -16 | 10 | -1.6 | -21.9 | 20.0 | 20.0 | 0 | -2.83 | 30.0 | 30.0 |
Alex Bergen
|
G | 6 | 1.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | -8 | 5 | -1.6 | -90.6 | 0 | 0 | 0 | -2.49 | 0 | 0 |
Cullen Barr
|
F | 7 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | -0.3 | -11 | 6 | -1.8 | -100.4 | 0.0 | 0.0 | 0 | -3.06 | 0.0 | 0.0 |
Conor Peterson
|
G | 6 | 1.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | -8 | 5 | -1.6 | -90.6 | 0 | 0 | 0 | -2.49 | 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