Kansas
2017 Team Stats (27 games)
82.8
PPG
71.5
Opp
+11.3
Margin
49.3%
FG%
42.8%
3P%
67.7%
FT%
38.0
RPG
16.3
APG
12.9
TO
82.0
Pace
Model Outputs
2016-2017
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 → | 1608 (#30) | - |
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 947 (#668) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1582 (#17) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 942 (#692) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +41.2 (#10) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.845 (#5) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.804 (#9) | NetEff +13.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.922 (#5) | AdjNet +21.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.923 (#5) | AdjNet +21.5 |
2017 Schedule & Results
2017 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
F. Mason III
|
G | 27 | 36.1 | 20.7 | 4.0 | 5.1 | 1.3 | 0.1 | 2.3 | 13.6 | 15.4 | - | - | - | 49.7 | 49.6 | 78.5 | - | 63.9 | 58.9 |
J. Jackson
|
- | 26 | 31.8 | 17.4 | 7.7 | 2.9 | 1.7 | 1.1 | 3.1 | 12.5 | 15.2 | 10 | 0.7 | 1.0 | 52.5 | 40.3 | 57.0 | 0.86 | 58.2 | 56.9 |
Devonte' Graham
|
- | 27 | 35.2 | 13.6 | 3.0 | 4.1 | 1.6 | 0.1 | 1.8 | 10.0 | 10.5 | - | - | - | 44.3 | 42.2 | 80.6 | - | 61.7 | 58.7 |
S. Mykhailiuk
|
- | 27 | 27.4 | 10.4 | 3.1 | 1.2 | 0.9 | 0.3 | 1.0 | 8.1 | 6.9 | - | - | - | 45.9 | 42.1 | 71.0 | - | 60.7 | 59.4 |
L. Lucas
|
F | 26 | 26.7 | 8.1 | 8.8 | 1.3 | 0.5 | 1.0 | 1.9 | 5.1 | 12.6 | - | - | - | 62.9 | 0 | 66.7 | - | 65.2 | 62.9 |
L. Vick
|
G | 27 | 23.8 | 6.4 | 3.2 | 1.0 | 0.6 | 0.4 | 1.2 | 5.4 | 5.0 | - | - | - | 43.2 | 36.5 | 80.0 | - | 54.3 | 51.0 |
Udoka Azubuike
|
- | 5 | 15.6 | 5.2 | 5.4 | 0.2 | 0.2 | 2.2 | 1.6 | 3.0 | 8.6 | - | - | - | 60.0 | 0 | 40.0 | - | 54.6 | 60.0 |
C. Bragg Jr.
|
F | 23 | 12.8 | 4.6 | 3.7 | 0.5 | 0.2 | 0.7 | 1.0 | 4.2 | 4.5 | 61 | 5.5 | 7.2 | 47.9 | 0.0 | 58.3 | 1.33 | 49.7 | 47.9 |
D. Coleby
|
F | 19 | 5.1 | 1.7 | 1.8 | 0.1 | 0.2 | 0.4 | 0.3 | 1.3 | 2.5 | - | - | - | 56.0 | 0 | 41.7 | - | 54.5 | 56.0 |
M. Lightfoot
|
F | 19 | 4.1 | 0.9 | 0.8 | 0.1 | 0.1 | 0.4 | 0.3 | 0.6 | 1.3 | - | - | - | 63.6 | 100.0 | 20.0 | - | 55.2 | 68.2 |
T. Self
|
G | 11 | 1.9 | 0.7 | 0.3 | 0.3 | 0.0 | 0.0 | 0.5 | 0.7 | 0.1 | - | - | - | 25.0 | 40.0 | 100.0 | - | 45.0 | 37.5 |
C. Young
|
G | 9 | 1.8 | 0.2 | 0.7 | 0.1 | 0.0 | 0.0 | 0.0 | 0.1 | 0.9 | - | - | - | 0.0 | 0 | 100.0 | - | 53.2 | 0.0 |
T. Vang
|
G | 9 | 1.6 | 0.0 | 0.1 | 0.1 | 0.0 | 0.0 | 0.0 | 0.1 | 0.1 | - | - | - | 0.0 | 0 | 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