Colorado Buffaloes
2026 Team Stats (31 games)
80.6
PPG
79.6
Opp
+1.0
Margin
46.5%
FG%
35.4%
3P%
76.6%
FT%
35.3
RPG
15.7
APG
10.6
TO
80.7
Pace
84.0
AdjO
74.2
AdjD
#70
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 → | 1035 (#151) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1099 (#92) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 922 (#643) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +9.5 (#73) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +20.3 (#83) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.514 (#169) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.277 (#248) | NetEff -8.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.811 (#73) | AdjNet +12.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.813 (#73) | AdjNet +12.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.708 (#70) | AdjO 84.0 | AdjD 74.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.536 (#196) | AdjO 77.6 | AdjD 76.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.829 (#98) | 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 → | 0.780 (#112) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1096 (#141) | RD 119 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
I. Johnson
|
- | 30 | 30.5 | 17.0 | 2.8 | 3.0 | 1.0 | 0.0 | 1.5 | 10.5 | 11.9 | 209 | 9.5 | 24.9 | 48.1 | 37.9 | 83.4 | -0.02 | 64.5 | 56.5 |
B. Hargress
|
- | 31 | 32.6 | 14.9 | 2.3 | 4.5 | 1.0 | 0.1 | 1.3 | 10.1 | 11.3 | -19 | -1.4 | -5.1 | 53.8 | 47.1 | 82.8 | 0.42 | 65.2 | 61.5 |
S. Rancik
|
F | 27 | 28.0 | 12.3 | 5.6 | 2.0 | 1.0 | 0.6 | 1.7 | 8.9 | 10.9 | -15 | -1.4 | -4.3 | 39.7 | 33.9 | 87.5 | 0.29 | 57.1 | 47.7 |
B. Dak
|
F | 30 | 25.3 | 11.5 | 6.8 | 1.5 | 0.6 | 1.5 | 1.3 | 9.1 | 11.4 | -22 | -2.0 | -8.1 | 49.1 | 27.7 | 73.6 | 0.63 | 55.4 | 51.5 |
A. Michaeli
|
- | 29 | 17.0 | 6.7 | 3.9 | 1.0 | 0.6 | 0.2 | 1.1 | 6.3 | 5.0 | 4 | 0.4 | 1.6 | 39.0 | 26.9 | 72.2 | 0.02 | 47.4 | 42.9 |
J. Holland
|
- | 29 | 17.9 | 5.0 | 2.8 | 0.9 | 0.8 | 0.4 | 1.1 | 4.8 | 4.1 | -6 | -0.6 | -3.4 | 38.4 | 27.5 | 54.2 | 0.13 | 45.9 | 43.5 |
J. Sanders
|
- | 31 | 18.4 | 4.7 | 2.7 | 1.7 | 0.4 | 0.0 | 0.8 | 4.0 | 4.7 | -73 | -3.3 | -5.6 | 47.2 | 13.6 | 52.0 | 0.01 | 50.0 | 48.4 |
F. Kossaras
|
G | 26 | 16.3 | 4.5 | 1.5 | 0.4 | 0.5 | 0.2 | 0.5 | 3.1 | 3.5 | 74 | 3.4 | 11.4 | 47.5 | 39.6 | 80.8 | 0.4 | 63.4 | 59.4 |
E. Malone
|
C | 28 | 14.2 | 4.4 | 3.1 | 0.8 | 0.5 | 0.4 | 0.8 | 3.7 | 4.7 | 29 | 1.3 | 6.1 | 50.5 | 30.8 | 75.0 | -0.1 | 55.0 | 52.4 |
I. Inman
|
- | 22 | 10.4 | 4.1 | 1.0 | 0.4 | 0.3 | 0.0 | 0.4 | 3.5 | 1.9 | -6 | -0.5 | -6.6 | 41.0 | 36.7 | 62.5 | 0.06 | 55.8 | 55.1 |
A. Crawford
|
- | 10 | 4.8 | 1.4 | 0.6 | 0.3 | 0.3 | 0.1 | 0.3 | 1.0 | 1.4 | 0 | 0.0 | 0.0 | 50.0 | 60.0 | 50.0 | 0.06 | 64.3 | 65.0 |
N. Randall
|
- | 2 | 1.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.0 | -32 | -1.9 | -14.6 | 100.0 | 0 | 0 | 0.0 | 100.0 | 100.0 |
F. Ifaola
|
- | 19 | 8.0 | 0.7 | 2.1 | 0.3 | 0.4 | 0.3 | 0.4 | 0.5 | 2.9 | 4 | 0.8 | 14.4 | 77.8 | 0 | 0.0 | 0.12 | 67.8 | 77.8 |
J. Mani
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 24 | 1.3 | 4.9 | - | - | - | 0.3 | - | - |
Leonardo Van Elswyk
|
C | 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