Colorado Buffaloes
2023 Team Stats (17 games)
67.0
PPG
66.5
Opp
+0.5
Margin
41.1%
FG%
33.1%
3P%
67.1%
FT%
38.1
RPG
14.6
APG
15.5
TO
83.7
Pace
Model Outputs
2022-2023
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 → | 1162 (#88) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1243 (#64) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +37.2 (#42) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.593 (#152) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-25 | @ | Tennessee Lady Volunteers | L | 51 - 69 |
| 2022-12-14 | @ | Utah Utes | L | 58 - 85 |
| 2023-01-06 | vs | Utah Utes | W | 77 - 67 |
| 2023-01-13 | vs | Arizona Wildcats | W | 72 - 65 |
| 2023-01-20 | @ | California Golden Bears | W | 73 - 66 |
| 2023-01-22 | @ | Stanford Cardinal | L | 49 - 62 |
| 2023-01-27 | vs | UCLA Bruins | W | 73 - 70 |
| 2023-01-29 | vs | USC Trojans | L | 54 - 71 |
| 2023-02-10 | vs | Washington State Cougars | W | 71 - 68 |
| 2023-02-12 | vs | Washington Huskies | W | 65 - 43 |
| 2023-02-17 | @ | Arizona State Sun Devils | W | 70 - 62 |
| 2023-02-23 | vs | Stanford Cardinal | L | 62 - 73 |
| 2023-02-25 | vs | California Golden Bears | W | 95 - 69 |
| 2023-03-03 | vs | Washington State Cougars | L | 49 - 61 |
| 2023-03-18 | vs | Middle Tennessee Blue Raiders | W | 82 - 60 |
| 2023-03-20 | @ | Duke Blue Devils | W | 61 - 53 |
| 2023-03-24 | @ | Iowa Hawkeyes | L | 77 - 87 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jaylyn Sherrod
|
- | 17 | 31.3 | 13.2 | 3.6 | 4.7 | 2.1 | 0.1 | 3.1 | 10.6 | 9.9 | - | - | - | 42.2 | 26.2 | 63.5 | - | 50.4 | 45.3 |
F. Formann
|
G | 15 | 29.9 | 12.9 | 3.3 | 1.7 | 1.0 | 0.3 | 2.2 | 11.3 | 5.7 | - | - | - | 38.5 | 39.8 | 96.0 | - | 53.6 | 50.0 |
A. Vonleh
|
C | 17 | 27.8 | 12.7 | 4.9 | 1.2 | 0.9 | 0.5 | 1.8 | 9.9 | 8.5 | - | - | - | 57.4 | 0 | 55.0 | - | 57.9 | 57.4 |
Q. Miller
|
F | 17 | 33.4 | 12.4 | 8.9 | 1.3 | 1.2 | 0.3 | 2.8 | 12.1 | 9.1 | - | - | - | 36.4 | 27.4 | 82.7 | - | 45.9 | 40.5 |
K. Wetta
|
G | 17 | 27.2 | 5.8 | 2.9 | 3.4 | 1.7 | 0.0 | 2.1 | 5.2 | 6.5 | - | - | - | 40.4 | 36.4 | 64.3 | - | 48.4 | 44.9 |
T. Sadler
|
G | 17 | 19.0 | 4.6 | 2.8 | 1.4 | 1.1 | 0.1 | 1.2 | 4.8 | 3.9 | - | - | - | 35.4 | 29.2 | 72.2 | - | 43.4 | 39.6 |
T. Jones
|
G | 17 | 17.4 | 2.5 | 3.3 | 0.4 | 0.3 | 0.7 | 0.5 | 3.3 | 3.4 | - | - | - | 26.8 | 35.3 | 60.0 | - | 34.8 | 32.1 |
J. Wynn
|
G | 15 | 10.7 | 2.5 | 1.5 | 0.3 | 0.1 | 0.3 | 0.7 | 2.9 | 1.1 | - | - | - | 30.2 | 36.0 | 66.7 | - | 41.7 | 40.7 |
B. McLeod
|
F | 15 | 10.5 | 2.3 | 1.9 | 0.2 | 0.2 | 0.3 | 0.5 | 1.7 | 2.7 | - | - | - | 60.0 | 0 | 31.2 | - | 54.6 | 60.0 |
C. Whittaker
|
F | 16 | 5.1 | 0.4 | 0.8 | 0.1 | 0.1 | 0.1 | 0.4 | 0.7 | 0.4 | - | - | - | 18.2 | 0.0 | 50.0 | - | 23.5 | 18.2 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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