Xavier
2026 Team Stats (33 games)
78.4
PPG
80.6
Opp
-2.2
Margin
44.4%
FG%
36.5%
3P%
72.9%
FT%
34.3
RPG
17.4
APG
10.0
TO
81.0
Pace
83.7
AdjO
76.5
AdjD
#92
Rank
Model Outputs
2025-2026
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 → | 966 (#207) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1017 (#163) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 997 (#347) | HCA +109 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 988 (#530) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +6.9 (#94) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +20.1 (#85) | HCA +2.5 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -2.9 (#400) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.419 (#225) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.469 (#180) | NetEff -1.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.753 (#92) | AdjNet +9.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.757 (#92) | AdjNet +9.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.658 (#92) | AdjO 83.7 | AdjD 76.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.522 (#209) | AdjO 81.0 | AdjD 80.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.489 (#290) | AdjO 73.3 | AdjD 73.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.811 (#117) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.441 (#377) | 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 → | 0.762 (#134) | 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 → | 0.449 (#368) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1086 (#150) | RD 131 | GP 33 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 894 (#513) | RD 350 | GP 1 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Carroll
|
F | 32 | 31.6 | 17.8 | 5.8 | 2.6 | 0.8 | 1.2 | 2.2 | 13.8 | 12.2 | 63 | 2.9 | 4.1 | 50.1 | 33.3 | 70.9 | 0.82 | 57.9 | 55.2 |
J. Milicevic
|
F | 33 | 26.1 | 12.4 | 3.9 | 1.4 | 0.7 | 0.6 | 1.3 | 9.6 | 8.1 | -8 | -0.4 | -0.7 | 44.3 | 42.9 | 72.8 | -0.22 | 57.7 | 54.9 |
M. Moore
|
- | 33 | 33.2 | 10.9 | 3.0 | 3.8 | 1.1 | 0.1 | 1.5 | 9.2 | 8.2 | 16 | 1.1 | 9.3 | 38.5 | 31.8 | 80.0 | 0.19 | 52.1 | 46.7 |
R. Anderson III
|
- | 33 | 23.8 | 10.9 | 3.3 | 2.2 | 1.3 | 0.2 | 1.3 | 9.8 | 6.8 | 186 | 9.3 | 13.5 | 39.8 | 31.4 | 72.2 | 1.55 | 49.6 | 45.7 |
F. Borovicanin
|
F | 33 | 31.2 | 10.8 | 7.4 | 4.2 | 1.2 | 0.5 | 1.8 | 9.3 | 13.1 | 63 | 2.9 | 4.3 | 43.3 | 34.9 | 87.3 | 0.84 | 53.5 | 49.3 |
All Wright
|
G | 33 | 22.2 | 7.5 | 1.6 | 2.0 | 0.5 | 0.0 | 0.6 | 5.6 | 5.3 | 22 | 1.0 | 1.9 | 46.2 | 42.2 | 84.1 | 0.32 | 60.1 | 56.5 |
I. Walker
|
G | 32 | 17.0 | 4.7 | 2.7 | 0.7 | 0.5 | 0.1 | 0.3 | 3.5 | 4.8 | -46 | -2.2 | -6.5 | 47.3 | 41.1 | 80.0 | -0.85 | 60.6 | 57.6 |
Anthony Robinson
|
- | 26 | 10.0 | 2.3 | 2.4 | 0.3 | 0.3 | 0.5 | 0.6 | 1.3 | 4.0 | 16 | 0.9 | 3.9 | 54.3 | 0 | 43.4 | 0.15 | 52.3 | 54.3 |
Pape N'Diaye
|
- | 29 | 9.3 | 2.0 | 2.3 | 0.2 | 0.2 | 1.0 | 0.2 | 1.6 | 4.0 | -19 | -0.9 | -4.7 | 46.8 | 42.9 | 55.6 | -0.13 | 56.9 | 56.4 |
I. Sabourin
|
- | 6 | 1.2 | 1.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 1.0 | -6 | -1.2 | -46.9 | 100.0 | 100.0 | 50.0 | -0.12 | 121.5 | 150.0 |
M. Panoam
|
G | 7 | 5.6 | 0.9 | 0.9 | 0.7 | 0.0 | 0.1 | 0.4 | 1.1 | 1.0 | -17 | -2.4 | -22.4 | 25.0 | 0.0 | 40.0 | -0.16 | 29.4 | 25.0 |
Henry Thole
|
- | 5 | 1.2 | 0.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.4 | -7 | -1.8 | -54.7 | 100.0 | 0 | 50.0 | -0.12 | 79.8 | 100.0 |
M. Wolf
|
- | 4 | 1.5 | 0.0 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | -6 | -1.5 | -46.9 | 0.0 | 0.0 | 0 | -0.12 | 0.0 | 0.0 |
Luke Naser
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
G. Pozzato
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Kason Westphal
|
C | 0 | - | 0.0 | 0.0 | 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