Xavier
2022 Team Stats (18 games)
73.3
PPG
69.3
Opp
+5.1
Margin
44.6%
FG%
32.6%
3P%
69.9%
FT%
36.2
RPG
13.8
APG
10.2
TO
78.2
Pace
Model Outputs
2021-2022
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 → | 1215 (#119) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1390 (#41) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +35.4 (#42) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.526 (#55) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.611 (#89) | NetEff +4.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.604 (#53) | AdjNet +3.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.605 (#53) | AdjNet +3.7 |
2022 Schedule & Results
2022 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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Nunge
|
- | 32 | 26.5 | 13.1 | 7.2 | 1.0 | 0.6 | 1.4 | 1.0 | 4.8 | 17.5 | - | - | - | 53.6 | 37.5 | 72.7 | - | 112.1 | 59.5 |
Justyn Hamilton
|
- | 1 | 26.0 | 13.0 | 3.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 16.0 | 58 | 4.8 | 5.5 | 0 | 0 | 0 | 1.15 | 0 | 0 |
P. Scruggs
|
G | 20 | 33.0 | 12.6 | 4.5 | 4.3 | 1.5 | 0.7 | 2.9 | 8.6 | 12.0 | - | - | - | 44.8 | 36.2 | 65.0 | - | 60.6 | 49.7 |
Colby Jones
|
- | 31 | 33.0 | 11.5 | 7.3 | 3.1 | 1.5 | 0.5 | 1.9 | 4.6 | 17.4 | 18 | 4.5 | 21.3 | 41.7 | 19.4 | 68.5 | 0.16 | 101.4 | 43.8 |
Zach Freemantle
|
F | 28 | 27.9 | 10.6 | 5.6 | 1.2 | 0.9 | 0.7 | 1.2 | 6.4 | 11.5 | 0 | 0.0 | 0.0 | 42.5 | 19.4 | 62.9 | 0.16 | 76.1 | 44.1 |
N. Johnson
|
G | 18 | 27.0 | 9.1 | 2.6 | 0.9 | 0.8 | 0.4 | 0.8 | 6.2 | 6.8 | 41 | 1.5 | 3.1 | 36.6 | 32.1 | 81.5 | 1.13 | 66.2 | 47.8 |
A. Kunkel
|
- | 31 | 22.7 | 9.0 | 2.3 | 1.7 | 0.8 | 0.1 | 1.0 | 4.1 | 8.9 | - | - | - | 45.2 | 42.7 | 85.7 | - | 103.1 | 57.9 |
Dwon Odom
|
G | 22 | 18.5 | 5.7 | 1.5 | 2.0 | 0.8 | 0.4 | 1.4 | 3.3 | 5.8 | - | - | - | 56.9 | 50.0 | 85.2 | - | 75.1 | 57.6 |
A. Garcia
|
G | 1 | 13.0 | 4.0 | 3.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 7.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Jerome Hunter
|
F | 31 | 15.2 | 4.0 | 2.9 | 0.7 | 0.6 | 0.2 | 0.9 | 2.5 | 4.9 | - | - | - | 35.4 | 28.1 | 65.2 | - | 69.6 | 41.1 |
B. Stanley
|
- | 3 | 7.7 | 2.3 | 1.7 | 0.7 | 0.0 | 0.3 | 0.7 | 3.0 | 1.3 | - | - | - | 33.3 | 0.0 | 100.0 | - | 37.1 | 33.3 |
Cesare Edwards
|
C | 6 | 6.7 | 2.3 | 1.2 | 0.0 | 0.5 | 0.2 | 0.2 | 1.5 | 2.5 | - | - | - | 66.7 | 0.0 | 0.0 | - | 67.8 | 66.7 |
Kyky Tandy
|
G | 3 | 9.0 | 1.0 | 0.3 | 0.7 | 0.0 | 0.0 | 0.7 | 0.7 | 0.7 | - | - | - | 0.0 | 0.0 | 0 | - | 75.0 | 0.0 |
Dieonte Miles
|
- | 10 | 5.4 | 0.5 | 0.9 | 0.2 | 0.0 | 0.4 | 0.0 | 0.4 | 1.6 | 83 | 6.4 | 8.9 | 50.0 | 0 | 20.0 | 1.65 | 40.3 | 50.0 |
E. Tucker
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | 0.76 | - | - |
D.J. Johnson
|
F | 1 | 13.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 1.0 | 34 | 34.0 | 38.0 | 0 | 0 | 0 | 0.94 | 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