Colorado Buffaloes
2022 Team Stats (11 games)
62.2
PPG
63.6
Opp
-1.4
Margin
38.3%
FG%
27.7%
3P%
67.8%
FT%
35.0
RPG
12.4
APG
15.5
TO
81.3
Pace
Model Outputs
2021-2022
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 → | 1157 (#94) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1202 (#75) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +36.6 (#45) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.572 (#155) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-22 | vs | Samford Bulldogs | W | 81 - 48 |
| 2021-12-07 | @ | Southern Utah Thunderbirds | W | 81 - 47 |
| 2022-01-14 | vs | Stanford Cardinal | L | 52 - 60 |
| 2022-01-16 | vs | California Golden Bears | - | Preview |
| 2022-01-17 | @ | Oregon State Beavers | L | 66 - 69 |
| 2022-01-21 | @ | Arizona State Sun Devils | L | 52 - 57 |
| 2022-01-23 | @ | Arizona Wildcats | L | 56 - 75 |
| 2022-02-13 | @ | Stanford Cardinal | L | 46 - 63 |
| 2022-02-23 | vs | Oregon Ducks | W | 86 - 83 |
| 2022-03-03 | @ | Arizona Wildcats | W | 45 - 43 |
| 2022-03-04 | @ | Stanford Cardinal | L | 45 - 71 |
| 2022-03-18 | vs | Creighton Bluejays | L | 74 - 84 |
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Hollingshed
|
F | 11 | 30.3 | 10.5 | 7.5 | 1.5 | 1.0 | 0.6 | 1.6 | 11.1 | 8.4 | - | - | - | 36.9 | 31.1 | 66.7 | 0.7 | 44.6 | 42.6 |
Q. Miller
|
F | 11 | 21.0 | 10.3 | 4.5 | 0.7 | 1.6 | 0.4 | 2.7 | 7.7 | 7.1 | - | - | - | 48.2 | 22.7 | 81.2 | 0.76 | 57.0 | 51.2 |
Jaylyn Sherrod
|
- | 11 | 29.1 | 9.4 | 2.5 | 2.8 | 1.6 | 0.1 | 2.8 | 8.5 | 5.1 | 64 | 2.9 | 25.2 | 34.4 | 22.2 | 64.8 | 0.74 | 44.1 | 36.6 |
F. Formann
|
G | 11 | 26.6 | 8.0 | 1.6 | 1.9 | 1.1 | 0.1 | 1.6 | 8.3 | 2.8 | -12 | -0.5 | -2.6 | 35.2 | 27.1 | 66.7 | 0.79 | 45.7 | 44.0 |
P. Tuitele
|
F | 11 | 27.0 | 6.0 | 4.6 | 0.7 | 0.8 | 0.8 | 1.0 | 5.3 | 6.7 | - | - | - | 37.9 | 25.0 | 85.7 | 0.47 | 49.1 | 41.4 |
K. Wetta
|
G | 11 | 24.9 | 5.3 | 3.2 | 3.1 | 2.2 | 0.1 | 1.3 | 5.2 | 7.4 | 113 | 4.7 | 19.0 | 40.4 | 17.6 | 56.2 | 1.79 | 45.3 | 43.0 |
T. Sadler
|
G | 8 | 14.4 | 4.9 | 1.9 | 0.2 | 1.2 | 0.2 | 0.8 | 3.9 | 3.9 | 48 | 2.2 | 18.7 | 35.5 | 45.5 | 70.6 | 0.57 | 50.7 | 43.5 |
L. Finau
|
G | 11 | 20.2 | 4.4 | 2.2 | 0.8 | 0.8 | 0.3 | 1.3 | 4.4 | 2.8 | - | - | - | 35.4 | 31.8 | 58.3 | 0.42 | 45.0 | 42.7 |
M. Singer
|
C | 1 | 11.0 | 4.0 | 6.0 | 0.0 | 1.0 | 1.0 | 1.0 | 3.0 | 8.0 | - | - | - | 33.3 | 0.0 | 100.0 | 0.0 | 51.5 | 33.3 |
T. Jones
|
G | 11 | 13.1 | 3.0 | 1.5 | 0.5 | 0.7 | 0.3 | 1.4 | 3.1 | 1.5 | -30 | -10.0 | -77.3 | 44.1 | 50.0 | 33.3 | 0.14 | 45.0 | 45.6 |
K. Blacksten
|
F | 8 | 5.4 | 2.0 | 1.1 | 0.0 | 0.2 | 0.1 | 0.4 | 1.8 | 1.4 | 77 | 5.5 | 26.7 | 35.7 | 33.3 | 44.4 | 0.84 | 44.5 | 42.9 |
S. Gerber
|
G | 2 | 3.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.5 | 1.0 | 0.5 | -0.5 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
K. Taylor
|
F | 2 | 4.5 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 37 | 1.0 | 6.0 | 0 | 0 | 0 | 1.6 | 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