Kansas
2018 Team Stats (31 games)
80.8
PPG
73.5
Opp
+7.2
Margin
49.2%
FG%
40.1%
3P%
70.3%
FT%
35.1
RPG
16.1
APG
11.8
TO
-
Est. poss./game
83.3
Adj PPG
65.2
Adj Opp PPG
#7
Scoring Rank
Model Outputs
2017-2018
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 โ | 1501 (#4) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1355 (#4) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1190 (#5) | HCA +95 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +19.5 (#6) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +17.2 (#8) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.807 (#23) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.958 (#7) | AdjNet +27.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.959 (#7) | AdjNet +27.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.838 (#7) | AdjO 83.3 | AdjD 65.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.733 (#14) | AdjO 80.3 | AdjD 69.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.896 (#7) | 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 โ | 0.883 (#6) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1408 (#3) | RD 82 | GP 39 |
2018 Schedule & Results
2018 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Devonte' Graham
|
- | 38 | 37.7 | 17.6 | 4.0 | 7.2 | 1.6 | 0.1 | 2.8 | 11.2 | 16.4 | 257 | 25 | 10.3 | 12.4 | 39.8 | 40.8 | 83.1 | 4.53 | 65.7 | 51.3 |
Sviatoslav Mykhailiuk
|
- | 38 | 34.5 | 14.4 | 3.9 | 2.7 | 1.2 | 0.3 | 1.7 | 10.7 | 10.1 | 245 | 25 | 9.8 | 12.9 | 42.5 | 43.1 | 79.2 | 3.54 | 64.1 | 54.4 |
Malik Newman
|
G | 38 | 31.5 | 14.2 | 5.0 | 2.1 | 1.1 | 0.2 | 1.5 | 9.1 | 11.9 | 221 | 25 | 8.8 | 12.2 | 46.1 | 41.2 | 83.7 | 3.56 | 68.5 | 56.9 |
Udoka Azubuike
|
- | 35 | 23.6 | 13.1 | 7.0 | 0.6 | 0.6 | 1.6 | 1.8 | 6.4 | 14.8 | 168 | 22 | 7.6 | 15.5 | 79.0 | 0 | 41.9 | 2.67 | 86.6 | 79.0 |
Lagerald Vick
|
G | 38 | 33.1 | 12.1 | 4.8 | 2.1 | 0.9 | 0.3 | 1.6 | 8.7 | 9.9 | 146 | 25 | 5.8 | 8.1 | 49.1 | 35.7 | 66.7 | -1.46 | 64.9 | 56.6 |
Silvio De Sousa
|
F | 19 | 9.1 | 4.2 | 3.9 | 0.2 | 0.1 | 0.1 | 0.9 | 2.5 | 5.0 | 10 | 14 | 0.7 | 3.3 | 68.1 | 0 | 71.4 | -3.72 | 70.2 | 68.1 |
Marcus Garrett
|
- | 38 | 19.2 | 4.0 | 3.4 | 1.1 | 0.9 | 0.2 | 0.8 | 3.0 | 5.9 | 130 | 25 | 5.2 | 12.8 | 42.1 | 20.0 | 47.9 | 1.62 | 56.2 | 45.2 |
Mitch Lightfoot
|
F | 37 | 13.9 | 3.8 | 3.1 | 0.3 | 0.3 | 1.5 | 0.8 | 2.4 | 5.7 | 48 | 24 | 2.0 | 5.9 | 55.2 | 27.3 | 68.4 | -2.41 | 72.9 | 56.9 |
Sam Cunliffe
|
G | 15 | 4.9 | 1.9 | 0.6 | 0.3 | 0.1 | 0.1 | 0.3 | 1.7 | 0.9 | 6 | 8 | 0.8 | 9.4 | 48.0 | 25.0 | 100.0 | -1.07 | 54.1 | 52.0 |
Chris Teahan
|
G | 11 | 2.3 | 1.1 | 0.6 | 0.1 | 0.0 | 0.0 | 0.3 | 0.5 | 1.0 | 1 | 8 | 0.1 | 2.3 | 33.3 | 40.0 | 0 | -1.09 | 100.0 | 50.0 |
James Sosinski
|
F | 7 | 1.3 | 0.9 | 0.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | 1.0 | -2 | 5 | -0.4 | -18.9 | 100.0 | 0 | 0 | -1.38 | 100.0 | 100.0 |
Clay Young
|
G | 13 | 5.5 | 0.7 | 0.1 | 0.6 | 0.2 | 0.1 | 0.2 | 0.4 | 1.0 | 25 | 9 | 2.8 | 20.7 | 60.0 | 0.0 | 50.0 | 0.44 | 76.5 | 60.0 |
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