Kansas
2019 Team Stats (26 games)
75.6
PPG
69.6
Opp
+6.0
Margin
46.6%
FG%
34.1%
3P%
73.4%
FT%
37.8
RPG
12.8
APG
13.5
TO
80.1
Pace
Model Outputs
2018-2019
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 → | 1560 (#31) | - |
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 948 (#641) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1566 (#10) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 916 (#764) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +40.7 (#13) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.549 (#29) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.644 (#20) | NetEff +5.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.829 (#22) | AdjNet +13.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.831 (#22) | AdjNet +13.8 |
2019 Schedule & Results
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Lawson
|
F | 31 | 32.0 | 19.0 | 9.9 | 1.4 | 1.3 | 1.0 | 2.4 | 13.5 | 16.7 | - | - | - | 50.4 | 39.2 | 82.5 | - | 60.0 | 54.1 |
L. Vick
|
G | 18 | 32.3 | 15.4 | 4.0 | 1.7 | 1.1 | 0.2 | 2.8 | 10.3 | 9.2 | - | - | - | 46.8 | 43.4 | 78.6 | - | 69.8 | 59.9 |
Udoka Azubuike
|
- | 6 | 22.0 | 14.8 | 8.3 | 0.3 | 0.3 | 1.5 | 1.7 | 6.7 | 17.0 | - | - | - | 77.5 | 0 | 28.6 | - | 96.4 | 77.5 |
Devon Dotson
|
- | 31 | 32.0 | 12.3 | 3.7 | 3.6 | 1.4 | 0.2 | 2.3 | 8.3 | 10.7 | - | - | - | 47.7 | 35.1 | 78.2 | - | 60.7 | 52.9 |
O. Agbaji
|
- | 21 | 26.0 | 8.6 | 4.7 | 1.0 | 0.5 | 0.6 | 1.4 | 7.1 | 6.8 | - | - | - | 45.3 | 31.0 | 67.6 | - | 54.9 | 52.7 |
Quentin Grimes
|
- | 31 | 27.9 | 8.2 | 2.5 | 2.1 | 0.7 | 0.2 | 1.9 | 7.5 | 4.2 | - | - | - | 37.3 | 31.3 | 63.6 | - | 50.3 | 46.4 |
M. Garrett
|
- | 26 | 28.1 | 7.3 | 4.3 | 2.0 | 1.5 | 0.3 | 1.3 | 5.9 | 8.2 | - | - | - | 45.5 | 23.1 | 58.1 | - | 52.1 | 48.4 |
D. McCormack
|
F | 29 | 11.7 | 4.3 | 3.3 | 0.4 | 0.2 | 0.4 | 0.9 | 2.9 | 5.0 | - | - | - | 63.9 | 0 | 66.7 | - | 65.5 | 63.9 |
K.J. Lawson
|
G | 30 | 10.3 | 3.1 | 1.8 | 0.5 | 0.2 | 0.0 | 0.7 | 2.6 | 2.4 | - | - | - | 44.3 | 26.8 | 81.2 | - | 54.6 | 51.3 |
C. Moore
|
G | 31 | 12.2 | 2.8 | 0.9 | 1.3 | 0.5 | 0.1 | 0.9 | 3.3 | 1.5 | -30 | -3.3 | -7.0 | 27.5 | 27.4 | 70.0 | 0.32 | 40.9 | 35.8 |
M. Lightfoot
|
F | 30 | 11.8 | 2.3 | 2.9 | 0.4 | 0.2 | 1.0 | 0.6 | 1.6 | 4.6 | - | - | - | 53.2 | 25.0 | 50.0 | - | 56.5 | 55.3 |
C. Teahan
|
G | 11 | 1.7 | 0.5 | 0.1 | 0.1 | 0.0 | 0.0 | 0.2 | 0.5 | 0.1 | - | - | - | 40.0 | 40.0 | 0 | - | 60.0 | 60.0 |
G. Luinstra
|
G | 10 | 1.1 | 0.0 | 0.1 | 0.3 | 0.0 | 0.0 | 0.1 | 0.3 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
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