Xavier
2023 Team Stats (25 games)
80.5
PPG
74.8
Opp
+6.7
Margin
49.0%
FG%
39.5%
3P%
70.6%
FT%
38.0
RPG
18.1
APG
11.8
TO
81.2
Pace
Model Outputs
2022-2023
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 → | 1165 (#140) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1328 (#67) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +35.6 (#54) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.616 (#27) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.683 (#66) | NetEff +7.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.820 (#16) | AdjNet +13.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.821 (#16) | AdjNet +13.2 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Boum
|
- | 30 | 35.8 | 16.2 | 4.6 | 4.3 | 0.9 | 0.2 | 1.8 | 10.8 | 13.5 | - | - | - | 41.5 | 36.8 | 87.4 | - | 64.3 | 50.2 |
Zach Freemantle
|
F | 15 | 27.8 | 15.7 | 7.9 | 2.7 | 1.0 | 0.7 | 2.6 | 8.2 | 17.2 | - | - | - | 58.5 | 64.7 | 65.8 | 0.16 | 84.1 | 63.0 |
Colby Jones
|
- | 30 | 34.2 | 15.4 | 5.6 | 4.1 | 1.2 | 0.4 | 2.4 | 10.3 | 14.0 | -1 | -0.1 | -0.3 | 52.3 | 37.0 | 54.7 | 0.16 | 67.6 | 57.8 |
J. Nunge
|
- | 30 | 29.6 | 14.4 | 8.1 | 2.2 | 0.9 | 1.1 | 1.3 | 9.2 | 16.3 | - | - | - | 52.0 | 40.8 | 67.1 | - | 69.6 | 57.3 |
A. Kunkel
|
- | 28 | 31.3 | 11.0 | 3.0 | 3.2 | 1.1 | 0.1 | 1.6 | 8.2 | 8.8 | - | - | - | 46.3 | 44.5 | 89.3 | - | 63.8 | 57.9 |
Jerome Hunter
|
F | 30 | 23.0 | 8.6 | 4.7 | 1.4 | 0.5 | 0.3 | 1.1 | 5.7 | 8.6 | - | - | - | 55.2 | 12.5 | 68.5 | - | 63.2 | 55.5 |
D. Claude
|
- | 28 | 21.6 | 5.1 | 2.6 | 1.8 | 0.8 | 0.2 | 1.2 | 3.9 | 5.4 | -15 | -1.9 | -3.1 | 43.6 | 34.5 | 58.3 | 0.28 | 57.2 | 48.2 |
Cesare Edwards
|
C | 18 | 8.9 | 2.2 | 2.1 | 0.3 | 0.1 | 0.2 | 0.6 | 1.7 | 2.5 | - | - | - | 54.8 | 0 | 50.0 | - | 55.1 | 54.8 |
K. Craft
|
G | 7 | 5.1 | 2.0 | 1.0 | 0.3 | 0.1 | 0.0 | 0.3 | 1.0 | 2.1 | -32 | -2.7 | -5.9 | 42.9 | 20.0 | 50.0 | 0.04 | 88.8 | 50.0 |
Kyky Tandy
|
G | 14 | 8.7 | 2.0 | 0.7 | 0.6 | 0.4 | 0.0 | 0.4 | 1.0 | 2.2 | - | - | - | 21.4 | 12.5 | 100.0 | - | 94.1 | 25.0 |
E. Tucker
|
F | 4 | 3.5 | 1.2 | 0.8 | 0.2 | 0.2 | 0.0 | 0.5 | 1.5 | 0.5 | 0 | 0.0 | 0.0 | 16.7 | 100.0 | 40.0 | 0.76 | 30.5 | 25.0 |
Dieonte Miles
|
- | 5 | 6.8 | 1.2 | 0.8 | 0.2 | 0.4 | 0.0 | 0.6 | 0.6 | 1.4 | 83 | 6.4 | 8.9 | 33.3 | 0 | 0.0 | 1.65 | 77.3 | 33.3 |
M. Wolf
|
- | 2 | 1.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
I. Sabourin
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Bradley Colbert
|
- | 2 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
Bob Nunge
|
- | 3 | 1.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 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