Nicholls Colonels
2026 Team Stats (30 games)
70.6
PPG
75.5
Opp
-4.9
Margin
43.2%
FG%
32.6%
3P%
65.4%
FT%
30.8
RPG
12.9
APG
12.0
TO
78.1
Pace
71.7
AdjO
77.9
AdjD
#256
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 → | 871 (#277) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 926 (#236) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 988 (#533) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -5.2 (#239) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +9.7 (#235) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.323 (#274) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.288 (#242) | NetEff -7.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.292 (#250) | AdjNet -7.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.291 (#249) | AdjNet -7.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.362 (#256) | AdjO 71.7 | AdjD 77.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.494 (#265) | AdjO 71.5 | AdjD 71.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.642 (#255) | 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 → | 0.606 (#256) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 962 (#274) | RD 142 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jalik Dunkley
|
- | 28 | 29.1 | 12.1 | 6.7 | 1.1 | 0.9 | 0.7 | 1.6 | 8.4 | 11.5 | -52 | -2.7 | -7.2 | 55.3 | 33.3 | 49.3 | -0.07 | 57.5 | 57.9 |
T. English
|
G | 27 | 31.2 | 12.0 | 2.0 | 3.3 | 1.7 | 0.1 | 1.8 | 10.6 | 6.7 | -49 | -2.6 | -7.0 | 39.0 | 29.4 | 82.3 | -1.24 | 50.3 | 45.1 |
J. Searles
|
G | 29 | 25.6 | 11.8 | 3.8 | 2.0 | 0.9 | 0.6 | 1.6 | 9.8 | 7.8 | -33 | -1.6 | -4.0 | 41.1 | 35.7 | 67.9 | -0.42 | 53.7 | 50.9 |
S. Malone
|
F | 30 | 32.5 | 11.0 | 4.3 | 2.8 | 1.8 | 0.4 | 2.5 | 7.6 | 10.1 | -68 | -3.2 | -7.4 | 49.3 | 28.0 | 78.9 | -0.63 | 59.1 | 52.4 |
Z. Hamoda
|
- | 26 | 21.5 | 9.2 | 3.0 | 1.1 | 0.6 | 0.6 | 1.1 | 8.0 | 5.3 | -10 | -0.6 | -2.1 | 41.1 | 36.0 | 76.0 | -0.62 | 54.5 | 52.9 |
C. Winborne
|
- | 27 | 22.2 | 7.7 | 1.7 | 0.9 | 1.3 | 0.0 | 0.7 | 7.1 | 3.7 | - | - | - | 35.8 | 34.0 | 64.5 | - | 50.1 | 48.4 |
J. Rice
|
G | 28 | 17.2 | 4.9 | 2.5 | 1.0 | 0.6 | 0.1 | 1.2 | 4.1 | 3.7 | -32 | -1.5 | -6.7 | 43.0 | 18.5 | 57.9 | -0.74 | 48.9 | 45.2 |
Zaiden Cross
|
- | 14 | 11.4 | 3.5 | 1.2 | 0.3 | 0.6 | 0.2 | 0.4 | 4.5 | 0.9 | -68 | -4.9 | -26.0 | 27.0 | 26.1 | 37.5 | -0.5 | 36.8 | 36.5 |
G. Sanders
|
- | 30 | 15.5 | 2.9 | 3.1 | 0.9 | 0.8 | 0.4 | 1.0 | 2.1 | 4.9 | -24 | -1.1 | -6.5 | 53.1 | 25.0 | 48.5 | -0.33 | 54.8 | 54.7 |
K. Pazmino
|
- | 15 | 4.7 | 1.6 | 0.1 | 0.0 | 0.1 | 0.0 | 0.1 | 1.4 | 0.3 | -70 | -5.0 | -81.9 | 38.1 | 40.0 | 0 | -0.29 | 57.1 | 57.1 |
N. Krass
|
- | 26 | 10.3 | 1.5 | 1.2 | 0.3 | 0.2 | 0.0 | 0.3 | 1.2 | 1.7 | 5 | 0.3 | 1.6 | 41.9 | 35.0 | 83.3 | -0.18 | 56.5 | 53.2 |
D. Betancourt
|
- | 5 | 2.8 | 0.0 | 0.6 | 0.0 | 0.2 | 0.2 | 0.0 | 0.4 | 0.6 | -27 | -5.4 | -142.4 | 0.0 | 0 | 0 | 0.13 | 0.0 | 0.0 |
Chaydon Stone
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -2 | -0.3 | -56.5 | - | - | - | -0.05 | - | - |
J. Matthews
|
- | 3 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2 | 0.7 | 25.9 | 0 | 0 | 0 | 0.04 | 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