Colorado Buffaloes
2026 Team Stats (30 games)
67.7
PPG
60.6
Opp
+7.1
Margin
42.4%
FG%
27.7%
3P%
72.6%
FT%
39.0
RPG
13.5
APG
16.4
TO
83.5
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 → | 1048 (#125) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +31.3 (#39) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.727 (#48) | AdjO 65.5 | AdjD 54.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.944 (#41) | 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 → | 0.924 (#40) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1224 (#57) | RD 114 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Wooten
|
G | 30 | 27.1 | 14.0 | 3.3 | 2.6 | 1.5 | 0.2 | 2.0 | 12.7 | 7.0 | -11 | -0.5 | -0.8 | 38.4 | 36.2 | 70.7 | -0.05 | 48.8 | 44.6 |
J. Masogayo
|
F | 29 | 26.7 | 11.7 | 5.2 | 1.8 | 1.0 | 0.9 | 2.6 | 8.4 | 9.4 | -2 | -0.1 | -0.1 | 49.0 | 0 | 76.0 | 1.65 | 56.0 | 49.0 |
Z. Walker
|
G | 30 | 29.6 | 11.3 | 4.3 | 2.2 | 2.0 | 0.2 | 2.1 | 9.6 | 8.3 | -27 | -1.2 | -1.7 | 42.7 | 20.3 | 68.4 | -0.02 | 49.8 | 44.8 |
L. Greer
|
F | 30 | 23.4 | 9.1 | 5.1 | 1.3 | 0.5 | 0.8 | 1.6 | 8.0 | 7.2 | 28 | 7.0 | 196.5 | 44.0 | 27.8 | 76.4 | 2.91 | 51.7 | 48.1 |
A. Dutat
|
F | 30 | 30.5 | 8.6 | 8.3 | 1.3 | 1.5 | 0.3 | 2.2 | 6.6 | 11.1 | -10 | -0.5 | -0.7 | 51.0 | 10.7 | 74.3 | -0.18 | 56.2 | 51.8 |
K. Sanders
|
G | 7 | 20.0 | 7.4 | 0.4 | 2.0 | 1.1 | 0.0 | 2.6 | 6.4 | 2.0 | 4 | 0.4 | 0.5 | 40.0 | 31.6 | 100.0 | 0.28 | 52.6 | 46.7 |
T. Betson
|
F | 23 | 19.4 | 4.8 | 3.6 | 1.4 | 0.5 | 0.3 | 1.6 | 4.0 | 5.0 | 26 | 2.0 | 5.6 | 41.9 | 33.3 | 83.3 | 2.37 | 55.0 | 51.6 |
C. O'Connor
|
G | 5 | 11.0 | 4.2 | 1.8 | 0.6 | 0.8 | 0.0 | 1.0 | 4.2 | 2.2 | -6 | -0.8 | -2.1 | 38.1 | 37.5 | 100.0 | -0.97 | 48.0 | 45.2 |
J. Crook
|
C | 29 | 10.0 | 2.9 | 1.8 | 0.3 | 0.3 | 0.2 | 0.8 | 2.6 | 2.2 | -1 | -0.0 | -0.1 | 47.4 | 25.0 | 58.8 | -0.96 | 50.9 | 49.3 |
E. Gooden
|
G | 30 | 14.0 | 2.1 | 2.0 | 1.1 | 0.6 | 0.0 | 1.2 | 2.2 | 2.4 | 12 | 0.5 | 1.9 | 32.3 | 21.1 | 80.0 | 0.59 | 42.0 | 35.4 |
J. Nworie
|
C | 13 | 4.6 | 1.5 | 0.8 | 0.0 | 0.1 | 0.4 | 0.2 | 1.3 | 1.3 | 10 | 0.9 | 9.5 | 52.9 | 50.0 | 0 | 0.44 | 55.9 | 55.9 |
M. McErlane
|
G | 29 | 14.5 | 1.4 | 0.9 | 1.3 | 0.3 | 0.0 | 1.0 | 2.3 | 0.7 | 17 | 0.8 | 2.0 | 19.7 | 17.5 | 60.0 | 1.85 | 28.9 | 25.0 |
S. Zadel
|
F | 15 | 6.1 | 0.7 | 1.7 | 0.2 | 0.0 | 0.1 | 0.7 | 1.3 | 0.7 | -30 | -1.9 | -11.3 | 21.1 | 0 | 28.6 | -1.43 | 22.6 | 21.1 |
I. Hämäläinen
|
G | 5 | 2.6 | 0.4 | 0.2 | 0.0 | 0.2 | 0.0 | 0.6 | 1.0 | -0.8 | -3 | -1.0 | -14.0 | 20.0 | 0.0 | 0 | -0.45 | 20.0 | 20.0 |
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