Colorado Buffaloes
2024 Team Stats (34 games)
75.2
PPG
64.3
Opp
+10.9
Margin
45.7%
FG%
35.3%
3P%
72.1%
FT%
37.3
RPG
18.6
APG
13.9
TO
83.1
Pace
Model Outputs
2023-2024
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 → | 1096 (#111) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1220 (#64) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +37.1 (#39) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.630 (#141) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.642 (#45) | AdjNet +5.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.641 (#45) | AdjNet +5.0 |
2024 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Vonleh
|
C | 34 | 24.8 | 14.0 | 5.1 | 1.4 | 1.0 | 1.1 | 1.6 | 10.8 | 10.2 | -43 | -3.3 | -4.1 | 54.9 | 12.5 | 62.8 | -0.16 | 57.0 | 55.0 |
Jaylyn Sherrod
|
- | 34 | 27.5 | 12.8 | 3.1 | 5.1 | 2.1 | 0.1 | 2.4 | 9.9 | 10.9 | 43 | 3.3 | 3.4 | 44.5 | 23.2 | 76.4 | 0.89 | 53.7 | 46.9 |
F. Formann
|
G | 34 | 27.1 | 12.5 | 1.9 | 2.1 | 1.1 | 0.3 | 2.0 | 9.3 | 6.6 | 24 | 1.8 | 2.2 | 44.0 | 42.1 | 90.1 | 0.62 | 61.1 | 57.0 |
Q. Miller
|
F | 34 | 26.6 | 8.9 | 7.4 | 1.4 | 0.9 | 0.1 | 2.3 | 8.1 | 8.4 | -30 | -2.3 | -2.6 | 39.8 | 32.6 | 76.1 | -0.33 | 49.6 | 45.4 |
M. Nolan
|
G | 34 | 20.9 | 6.6 | 2.6 | 1.1 | 0.6 | 0.0 | 0.6 | 5.4 | 5.1 | -37 | -3.4 | -4.2 | 42.9 | 42.9 | 83.3 | -0.26 | 60.3 | 59.3 |
K. Wetta
|
G | 34 | 23.8 | 5.9 | 3.4 | 3.9 | 1.8 | 0.1 | 1.6 | 4.6 | 8.8 | 53 | 4.1 | 5.2 | 48.7 | 32.5 | 68.0 | 0.33 | 55.8 | 52.8 |
T. Sadler
|
G | 34 | 18.4 | 5.5 | 2.1 | 2.0 | 1.3 | 0.2 | 0.8 | 5.5 | 4.8 | 37 | 3.7 | 5.4 | 42.0 | 30.0 | 64.0 | -0.04 | 46.7 | 45.2 |
S. Smith
|
G | 30 | 13.8 | 3.7 | 4.0 | 1.0 | 0.6 | 0.4 | 0.8 | 3.4 | 5.6 | 26 | 4.3 | 3.8 | 47.5 | 29.6 | 63.6 | 0.22 | 52.4 | 51.5 |
C. Whittaker
|
F | 33 | 11.4 | 3.1 | 2.1 | 0.6 | 0.3 | 0.3 | 0.8 | 2.8 | 2.8 | 62 | 4.8 | 16.9 | 48.9 | 16.7 | 52.9 | 0.15 | 50.8 | 50.0 |
M. Johnson
|
G | 15 | 4.5 | 1.9 | 0.8 | 0.1 | 0.3 | 0.1 | 0.3 | 1.9 | 1.0 | 3 | 0.2 | 0.3 | 44.8 | 18.2 | 33.3 | 0.2 | 47.8 | 48.3 |
B. McLeod
|
F | 28 | 6.0 | 1.4 | 1.1 | 0.1 | 0.2 | 0.2 | 0.4 | 1.2 | 1.5 | 10 | 1.4 | 4.8 | 48.5 | 0 | 54.5 | 0.18 | 50.2 | 48.5 |
J. Atchison
|
G | 14 | 3.8 | 1.4 | 1.1 | 0.3 | 0.2 | 0.1 | 0.4 | 1.9 | 0.8 | - | - | - | 30.8 | 16.7 | 33.3 | - | 33.2 | 32.7 |
S. Sanders
|
G | 5 | 1.8 | 0.6 | 0.6 | 0.0 | 0.2 | 0.0 | 0.2 | 1.2 | 0.0 | - | - | - | 16.7 | 25.0 | 0 | - | 25.0 | 25.0 |
S. Gerber
|
G | 10 | 1.7 | 0.2 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 0.2 | 0.0 | - | - | - | 0.0 | 0.0 | 100.0 | - | 34.7 | 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