Colorado Buffaloes
2022 Team Stats (4 games)
62.3
PPG
66.8
Opp
+3.4
Margin
37.1%
FG%
38.0%
3P%
74.6%
FT%
33.8
RPG
12.5
APG
14.5
TO
78.3
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 → | 1323 (#66) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1386 (#45) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1036 (#124) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.9 (#60) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +20.5 (#66) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.560 (#48) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.319 (#177) | NetEff -6.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.544 (#60) | AdjNet +1.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.543 (#60) | AdjNet +1.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.623 (#101) | AdjO 70.8 | AdjD 65.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.846 (#81) | 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 → | 0.818 (#82) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1174 (#90) | RD 120 | GP 31 |
2022 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Walker
|
- | 11 | 28.9 | 14.4 | 8.8 | 1.0 | 1.0 | 0.9 | 2.4 | 9.2 | 14.5 | 309 | 8.6 | 11.6 | 42.6 | 42.9 | 78.6 | 1.46 | 66.1 | 50.0 |
E. Battey
|
- | 4 | 27.5 | 12.0 | 3.8 | 0.2 | 0.8 | 0.5 | 1.5 | 0.0 | 15.8 | 185 | 5.6 | 8.3 | 0 | 0 | 0 | 1.77 | 0 | 0 |
T. da Silva
|
- | 29 | 28.5 | 9.6 | 3.6 | 2.0 | 0.6 | 0.5 | 1.8 | 2.9 | 11.4 | - | - | - | 44.0 | 39.1 | 68.4 | 1.61 | 150.0 | 49.4 |
KJ Simpson
|
- | 30 | 21.9 | 7.7 | 2.4 | 2.7 | 0.8 | 0.1 | 2.2 | 3.4 | 8.1 | 26 | 0.8 | 1.6 | 35.0 | 21.4 | 84.4 | 0.46 | 93.6 | 37.9 |
Keeshawn Barthelemy
|
- | 11 | 22.3 | 7.5 | 2.3 | 2.2 | 0.6 | 0.1 | 0.8 | 6.9 | 5.0 | 85 | 2.6 | 4.2 | 32.9 | 19.4 | 100.0 | 0.55 | 52.5 | 36.8 |
E. Parquet
|
- | 3 | 29.3 | 7.0 | 2.7 | 0.7 | 0.7 | 0.7 | 1.7 | 0.0 | 10.0 | 78 | 4.3 | 6.3 | 0 | 0 | 0 | 0.69 | 0 | 0 |
N. Clifford
|
- | 31 | 23.0 | 6.5 | 4.6 | 1.4 | 0.6 | 0.6 | 1.4 | 1.9 | 10.5 | 12 | 0.4 | 0.7 | 37.9 | 35.0 | 71.4 | -0.04 | 166.2 | 44.0 |
J. Delaire
|
- | 1 | 22.0 | 6.0 | 1.0 | 1.0 | 0.0 | 0.0 | 2.0 | 0.0 | 6.0 | -93 | -2.9 | -5.0 | 0 | 0 | 0 | -0.43 | 0 | 0 |
J. Hammond III
|
G | 28 | 12.4 | 3.0 | 1.6 | 1.0 | 0.4 | 0.1 | 1.0 | 0.9 | 4.2 | -69 | -3.5 | -6.8 | 26.9 | 27.8 | 71.4 | 1.34 | 144.4 | 36.5 |
L. O'Brien
|
- | 31 | 14.9 | 2.8 | 2.9 | 0.8 | 0.4 | 0.1 | 0.6 | 1.2 | 5.2 | 58 | 1.8 | 4.8 | 41.7 | 40.0 | 75.0 | 0.94 | 115.2 | 47.2 |
W. Loughlin
|
- | 1 | 5.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | -17 | -1.9 | -14.0 | 0 | 0 | 0 | -0.34 | 0 | 0 |
L. Lovering
|
- | 10 | 11.1 | 1.5 | 1.7 | 0.6 | 0.4 | 0.2 | 0.6 | 1.0 | 2.8 | -22 | -1.3 | -4.6 | 20.0 | 0 | 25.0 | -0.22 | 63.8 | 20.0 |
J. Pease
|
- | 2 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Q. Allen
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
J. Ruffin
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
S. Beskind
|
G | 1 | 4.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | -42 | -1.4 | -9.5 | 0 | 0 | 0 | -0.36 | 0 | 0 |
C. Mains
|
- | 2 | 1.5 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.5 | - | - | - | 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