2024 Team Stats (1 games)
58.0
PPG
108.0
Opp
-50.0
Margin
35.5%
FG%
35.3%
3P%
66.7%
FT%
30.0
RPG
11.0
APG
22.0
TO
89.3
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 993 (#468) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -9.8 (#481) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.453 (#485) | AdjO 72.4 | AdjD 74.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.301 (#471) | 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 → | 0.326 (#478) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 803 (#665) | RD 350 | GP 2 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-01-21 | @ | Chicago State Cougars | L | 58 - 108 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Kibelkis
|
- | 1 | 20.0 | 9.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 4.0 | 5.0 | - | - | - | 75.0 | 100.0 | 0 | - | 112.5 | 112.5 |
J. Barr
|
- | 1 | 28.0 | 9.0 | 3.0 | 1.0 | 1.0 | 0.0 | 3.0 | 11.0 | 0.0 | - | - | - | 36.4 | 33.3 | 0 | - | 40.9 | 40.9 |
J. Walsh
|
- | 1 | 20.0 | 9.0 | 5.0 | 0.0 | 0.0 | 1.0 | 1.0 | 7.0 | 7.0 | - | - | - | 57.1 | 0 | 50.0 | - | 57.1 | 57.1 |
S. Ukiteyedi
|
- | 1 | 21.0 | 9.0 | 6.0 | 4.0 | 4.0 | 0.0 | 1.0 | 11.0 | 11.0 | - | - | - | 27.3 | 33.3 | 50.0 | - | 35.3 | 31.8 |
T. Ward
|
- | 1 | 17.0 | 8.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 8.0 | -1.0 | 1 | 0.1 | 0.2 | 50.0 | 0.0 | 0 | 0.07 | 50.0 | 50.0 |
A. Brandon
|
- | 1 | 14.0 | 5.0 | 1.0 | 0.0 | 1.0 | 0.0 | 2.0 | 4.0 | 1.0 | - | - | - | 25.0 | 25.0 | 100.0 | - | 51.2 | 37.5 |
M. Tojagic
|
- | 1 | 18.0 | 4.0 | 3.0 | 2.0 | 1.0 | 1.0 | 3.0 | 4.0 | 4.0 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
J. Stevenson
|
- | 1 | 18.0 | 4.0 | 5.0 | 0.0 | 2.0 | 0.0 | 2.0 | 7.0 | 2.0 | 21 | 1.6 | 4.6 | 14.3 | 0 | 100.0 | 0.51 | 25.4 | 14.3 |
S. Hill
|
- | 1 | 13.0 | 1.0 | 1.0 | 2.0 | 1.0 | 0.0 | 5.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0 | 50.0 | - | 26.6 | 0.0 |
J. White
|
- | 1 | 12.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 2.0 | 0.0 | 0.0 | -24 | -4.0 | -5.2 | 0 | 0 | 0 | -0.09 | 0 | 0 |
J. Streeter
|
- | 1 | 19.0 | 0.0 | 2.0 | 1.0 | 1.0 | 0.0 | 1.0 | 5.0 | -2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Brandon Botley
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Lashawn Henderson
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Darius Moses
|
F | 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
St. Xavier