Colorado Buffaloes
2018 Team Stats (2 games)
101.0
PPG
83.9
Opp
-5.0
Margin
50.4%
FG%
43.4%
3P%
74.5%
FT%
47.5
RPG
18.5
APG
16.0
TO
96.6
Pace
Model Outputs
2017-2018
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 → | 1459 (#56) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1470 (#48) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.9 (#54) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.252 (#76) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.745 (#9) | NetEff +10.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.360 (#81) | AdjNet -5.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.362 (#80) | AdjNet -4.9 |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2017-12-09 | @ | Xavier Musketeers | L | 69 - 96 |
| 2017-12-15 | vs | South Dakota State Jackrabbits | W | 112 - 103 |
| 2018-01-04 | vs | Arizona State Sun Devils | W | 90 - 81 |
| 2018-01-06 | vs | Arizona Wildcats | W | 80 - 77 |
| 2018-01-10 | @ | USC Trojans | L | 58 - 70 |
| 2018-01-25 | @ | Arizona Wildcats | L | 71 - 80 |
| 2018-01-27 | @ | Arizona State Sun Devils | L | 66 - 80 |
| 2018-03-07 | vs | Arizona State Sun Devils | W | 97 - 85 |
| 2018-03-08 | @ | Arizona Wildcats | L | 67 - 83 |
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G. King
|
G | 9 | 29.1 | 15.2 | 7.8 | 1.4 | 0.3 | 0.8 | 2.1 | 9.3 | 14.1 | - | - | - | 46.4 | 50.0 | 81.8 | - | 73.1 | 58.3 |
M. Wright IV
|
- | 9 | 33.6 | 14.8 | 4.6 | 7.2 | 0.8 | 0.6 | 3.4 | 2.1 | 22.3 | 16 | 1.6 | 3.1 | 57.9 | 50.0 | 100.0 | 1.14 | 320.3 | 63.2 |
N. Wright
|
G | 9 | 23.4 | 10.4 | 3.8 | 1.3 | 0.9 | 0.1 | 1.7 | 6.7 | 8.2 | - | - | - | 51.7 | 44.4 | 77.8 | - | 69.2 | 58.3 |
D. Collier
|
G | 9 | 19.3 | 8.9 | 0.9 | 1.8 | 0.3 | 0.0 | 1.2 | 5.6 | 5.1 | - | - | - | 48.0 | 46.7 | 85.7 | - | 67.5 | 62.0 |
T. Bey
|
- | 9 | 21.2 | 7.8 | 6.7 | 0.4 | 0.7 | 0.6 | 1.3 | 1.7 | 13.1 | - | - | - | 46.7 | 0 | 70.0 | - | 180.4 | 46.7 |
L. Siewert
|
F | 9 | 17.4 | 6.9 | 2.0 | 0.8 | 0.1 | 0.4 | 1.1 | 4.0 | 5.1 | - | - | - | 55.6 | 42.1 | 100.0 | - | 73.5 | 66.7 |
D. Walton
|
F | 9 | 19.1 | 5.3 | 3.3 | 0.3 | 0.1 | 1.3 | 0.7 | 4.8 | 5.0 | - | - | - | 46.5 | 33.3 | 57.1 | - | 52.1 | 48.8 |
D. Schwartz
|
- | 9 | 12.3 | 3.8 | 1.2 | 0.2 | 0.2 | 0.0 | 0.3 | 0.9 | 4.2 | - | - | - | 50.0 | 50.0 | 0 | - | 212.5 | 62.5 |
D. Brown
|
G | 7 | 18.1 | 3.7 | 0.7 | 0.3 | 0.1 | 0.1 | 0.6 | 4.3 | 0.1 | -8 | -1.6 | -7.1 | 30.0 | 26.7 | 50.0 | 1.44 | 42.1 | 36.7 |
L. Nikolic
|
G | 9 | 18.0 | 2.9 | 3.0 | 1.2 | 0.2 | 0.3 | 1.4 | 2.3 | 3.9 | - | - | - | 42.9 | 30.0 | 33.3 | - | 58.2 | 50.0 |
J. Repine
|
G | 2 | 1.5 | 0.0 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
A. Strating
|
F | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | -2.0 | - | - | - | 0.0 | 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