Nicholls Colonels
2026 Team Stats (29 games)
64.4
PPG
61.8
Opp
+2.6
Margin
38.3%
FG%
23.7%
3P%
72.6%
FT%
36.9
RPG
11.2
APG
14.9
TO
83.6
Pace
Model Outputs
2025-2026
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 → | 984 (#433) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +7.1 (#236) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.531 (#190) | AdjO 60.8 | AdjD 59.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.606 (#244) | 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 → | 0.593 (#231) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 942 (#261) | RD 137 | GP 29 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. McKnight
|
G | 29 | 23.8 | 12.4 | 3.6 | 1.8 | 1.8 | 0.1 | 2.3 | 12.4 | 4.9 | -24 | -1.1 | -2.0 | 33.9 | 24.1 | 71.9 | -2.32 | 43.4 | 37.8 |
M. Kenembeni
|
F | 29 | 19.8 | 9.9 | 4.4 | 0.6 | 1.1 | 0.7 | 1.6 | 8.2 | 6.9 | 25 | 1.2 | 2.4 | 45.1 | 29.4 | 75.0 | -0.24 | 52.4 | 47.3 |
T. Swift
|
G | 24 | 30.5 | 9.5 | 4.8 | 2.2 | 2.4 | 0.1 | 2.6 | 10.0 | 6.3 | -15 | -1.1 | -1.4 | 31.7 | 12.5 | 65.5 | 1.03 | 39.5 | 32.5 |
J. Jalomo
|
G | 29 | 29.6 | 8.1 | 2.2 | 1.4 | 0.7 | 0.2 | 1.7 | 7.1 | 3.8 | 20 | 1.0 | 1.3 | 35.0 | 30.2 | 88.2 | 2.93 | 51.2 | 45.9 |
Jordan Matthews
|
F | 25 | 13.8 | 7.6 | 2.9 | 0.4 | 0.4 | 0.0 | 1.2 | 6.6 | 3.5 | -12 | -0.7 | -1.7 | 47.6 | 30.0 | 71.4 | -1.04 | 51.8 | 48.5 |
A. Wilson
|
G | 29 | 30.9 | 6.1 | 4.7 | 2.9 | 2.2 | 0.2 | 1.6 | 4.9 | 9.6 | 23 | 1.1 | 1.5 | 43.3 | 13.3 | 78.5 | 1.14 | 52.2 | 44.7 |
E. Burks
|
F | 29 | 23.0 | 5.1 | 6.0 | 1.2 | 1.3 | 0.9 | 1.8 | 4.9 | 7.9 | -37 | -1.8 | -2.9 | 42.6 | 27.8 | 57.1 | -1.53 | 46.7 | 44.3 |
I. McMahon
|
G | 3 | 10.3 | 4.3 | 0.3 | 0.0 | 0.3 | 0.0 | 1.7 | 3.0 | 0.3 | -2 | -0.5 | -2.0 | 55.6 | 0.0 | 100.0 | -1.2 | 63.0 | 55.6 |
Maka. Charles
|
G | 4 | 12.2 | 4.0 | 2.5 | 0.5 | 0.8 | 0.0 | 0.8 | 2.0 | 5.0 | -35 | -5.8 | -19.9 | 50.0 | 0 | 61.5 | -0.46 | 58.3 | 50.0 |
S. Morris
|
G | 25 | 15.4 | 4.0 | 1.4 | 0.8 | 0.8 | 0.0 | 1.2 | 3.6 | 2.1 | -23 | -1.0 | -1.7 | 35.2 | 19.2 | 78.9 | -1.14 | 46.0 | 37.9 |
L. Scott
|
F | 29 | 14.0 | 2.7 | 3.0 | 0.3 | 0.4 | 0.3 | 0.4 | 2.4 | 3.9 | -14 | -0.6 | -0.8 | 44.9 | 0.0 | 77.3 | -0.24 | 50.2 | 44.9 |
R. Hoadley
|
G | 21 | 6.7 | 1.5 | 0.7 | 0.1 | 0.4 | 0.0 | 0.4 | 2.7 | -0.5 | -51 | -3.2 | -16.4 | 21.1 | 17.1 | 50.0 | -5.55 | 27.6 | 27.2 |
C. Adams
|
G | 5 | 4.8 | 1.0 | 0.8 | 0.0 | 0.0 | 0.2 | 0.2 | 1.4 | 0.4 | -2 | -0.3 | -4.7 | 28.6 | 0.0 | 50.0 | -0.32 | 31.7 | 28.6 |
Make. Charles
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -35 | -5.8 | -19.9 | 0 | 0 | 0 | -0.46 | 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