Kansas
2020 Team Stats (19 games)
72.8
PPG
59.2
Opp
+14.5
Margin
47.0%
FG%
34.0%
3P%
68.5%
FT%
39.3
RPG
13.8
APG
12.3
TO
77.1
Pace
Model Outputs
2019-2020
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 → | 1519 (#31) | - |
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 960 (#569) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1544 (#9) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 920 (#746) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +41.2 (#12) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.865 (#6) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.857 (#5) | NetEff +14.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.936 (#4) | AdjNet +23.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.936 (#4) | AdjNet +23.3 |
2020 Schedule & Results
2020 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Devon Dotson
|
- | 24 | 34.3 | 17.6 | 4.2 | 3.9 | 2.1 | 0.1 | 2.2 | 12.8 | 13.0 | - | - | - | 45.5 | 32.3 | 82.8 | - | 57.6 | 50.6 |
Udoka Azubuike
|
- | 25 | 27.9 | 13.0 | 11.1 | 0.9 | 0.4 | 2.6 | 2.5 | 7.6 | 17.9 | - | - | - | 73.0 | 0 | 42.9 | - | 68.0 | 73.0 |
O. Agbaji
|
- | 25 | 32.8 | 9.7 | 4.2 | 1.9 | 1.1 | 0.2 | 1.8 | 8.5 | 6.9 | - | - | - | 42.0 | 32.7 | 73.2 | - | 52.8 | 50.2 |
M. Garrett
|
- | 25 | 32.3 | 8.8 | 4.2 | 4.8 | 1.6 | 0.3 | 1.9 | 7.8 | 10.0 | - | - | - | 42.6 | 33.3 | 57.6 | - | 48.9 | 46.4 |
I. Moss
|
G | 25 | 24.6 | 8.6 | 2.4 | 0.6 | 0.4 | 0.0 | 0.8 | 7.2 | 4.0 | - | - | - | 39.4 | 35.7 | 96.7 | - | 55.9 | 51.9 |
D. McCormack
|
F | 24 | 13.8 | 6.8 | 4.0 | 0.6 | 0.4 | 0.4 | 1.1 | 5.1 | 6.0 | - | - | - | 52.5 | 0.0 | 85.0 | - | 58.0 | 52.5 |
C. Braun
|
- | 25 | 19.8 | 5.9 | 3.2 | 0.5 | 0.8 | 0.3 | 0.4 | 4.3 | 6.0 | - | - | - | 46.7 | 48.4 | 73.9 | - | 62.8 | 60.7 |
S. De Sousa
|
F | 13 | 9.0 | 2.5 | 3.2 | 0.2 | 0.0 | 0.9 | 0.8 | 1.8 | 4.2 | - | - | - | 43.5 | 100.0 | 50.0 | - | 50.3 | 47.8 |
Tristan Enaruna
|
- | 24 | 9.5 | 2.2 | 2.1 | 0.5 | 0.3 | 0.2 | 0.8 | 2.4 | 2.1 | - | - | - | 35.1 | 22.7 | 46.7 | - | 40.9 | 39.5 |
M. Jankovich
|
- | 8 | 2.8 | 1.5 | 0.1 | 0.0 | 0.0 | 0.0 | 0.2 | 0.9 | 0.5 | - | - | - | 42.9 | 42.9 | 75.0 | - | 68.5 | 64.3 |
C. Teahan
|
G | 10 | 2.7 | 0.9 | 0.1 | 0.1 | 0.0 | 0.1 | 0.1 | 0.8 | 0.3 | - | - | - | 37.5 | 37.5 | 0 | - | 56.2 | 56.2 |
E. Elliott
|
G | 7 | 2.4 | 0.6 | 0.1 | 0.3 | 0.0 | 0.0 | 0.1 | 0.4 | 0.4 | 50 | 3.8 | 6.2 | 66.7 | 0 | 0 | 0.27 | 66.7 | 66.7 |
J. Wilson
|
- | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | 0.74 | 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