Kansas
2014 Team Stats (32 games)
79.1
PPG
70.2
Opp
+8.9
Margin
49.3%
FG%
34.1%
3P%
71.6%
FT%
38.3
RPG
15.0
APG
13.2
TO
-
Est. poss./game
80.6
Adj PPG
63.2
Adj Opp PPG
#5
Scoring Rank
Model Outputs
2013-2014
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 | 1268 (#22) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1300 (#16) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1073 (#75) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +18.7 (#4) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +15.5 (#15) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.797 (#32) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.957 (#7) | AdjNet +26.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.957 (#8) | AdjNet +27.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.829 (#5) | AdjO 80.6 | AdjD 63.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.709 (#20) | AdjO 75.9 | AdjD 66.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.856 (#15) | 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 | 0.838 (#16) | 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 | 1308 (#16) | RD 104 | GP 35 |
2014 Schedule & Results
2014 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Wiggins
|
G | 35 | 32.8 | 17.1 | 5.9 | 1.5 | 1.2 | 1.0 | 2.3 | 11.6 | 12.7 | 276 | 31 | 8.9 | 11.9 | 44.7 | 34.2 | 78.5 | 4.74 | 59.8 | 49.8 |
Perry Ellis
|
F | 35 | 27.8 | 13.5 | 6.7 | 1.0 | 0.8 | 0.6 | 1.1 | 8.7 | 12.8 | 233 | 31 | 7.5 | 12.0 | 55.3 | 47.1 | 76.6 | 1.81 | 64.8 | 56.6 |
Joel Embiid
|
C | 28 | 23.1 | 11.2 | 8.1 | 1.4 | 0.9 | 2.6 | 2.4 | 5.8 | 15.9 | 196 | 24 | 8.2 | 15.5 | 62.6 | 20.0 | 69.0 | 5.89 | 71.2 | 62.9 |
W. Selden
|
G | 35 | 29.2 | 9.7 | 2.6 | 2.5 | 0.7 | 0.3 | 1.9 | 7.6 | 6.4 | 219 | 31 | 7.1 | 10.5 | 44.2 | 33.3 | 66.3 | 1.22 | 56.4 | 51.9 |
Naadir Tharpe
|
G | 34 | 29.4 | 8.5 | 2.1 | 5.0 | 0.7 | 0.0 | 2.1 | 6.2 | 8.0 | 147 | 30 | 4.9 | 7.6 | 44.1 | 37.8 | 82.1 | 0.13 | 59.9 | 54.0 |
Tarik Black
|
F | 33 | 13.5 | 5.5 | 3.9 | 0.3 | 0.3 | 0.5 | 0.7 | 3.0 | 6.7 | 128 | 29 | 4.4 | 13.6 | 69.0 | 0.0 | 61.7 | 3.64 | 75.0 | 69.0 |
Frank Mason
|
G | 35 | 16.2 | 5.5 | 1.3 | 2.1 | 0.5 | 0.0 | 1.1 | 3.9 | 4.4 | 130 | 31 | 4.2 | 12.1 | 42.0 | 33.3 | 65.2 | 2.96 | 57.2 | 48.2 |
Jamari Traylor
|
F | 34 | 16.1 | 4.8 | 4.1 | 0.8 | 0.4 | 0.8 | 1.2 | 2.6 | 7.1 | 31 | 30 | 1.0 | 2.9 | 68.5 | 0 | 64.9 | -2.91 | 71.9 | 68.5 |
Conner Frankamp
|
G | 27 | 8.3 | 2.5 | 0.6 | 0.6 | 0.1 | 0.1 | 0.1 | 2.1 | 1.6 | 93 | 24 | 3.9 | 19.6 | 34.5 | 31.8 | 80.0 | 2.94 | 53.7 | 46.6 |
Brannen Greene
|
G | 28 | 6.6 | 2.4 | 1.0 | 0.4 | 0.2 | 0.0 | 0.5 | 1.8 | 1.6 | 34 | 22 | 1.5 | 9.1 | 36.7 | 34.5 | 88.9 | 1.53 | 58.0 | 46.9 |
Andrew White
|
G | 19 | 6.0 | 2.3 | 1.2 | 0.2 | 0.3 | 0.2 | 0.4 | 1.4 | 2.3 | 28 | 17 | 1.6 | 12.5 | 40.7 | 26.3 | 45.5 | 2.01 | 69.1 | 50.0 |
Landen Lucas
|
F | 21 | 5.1 | 1.6 | 1.4 | 0.0 | 0.1 | 0.3 | 0.2 | 1.0 | 2.3 | -10 | 20 | -0.5 | -4.6 | 60.0 | 0 | 50.0 | -4.82 | 60.9 | 60.0 |
Evan Manning
|
G | 6 | 1.7 | 0.7 | 0.0 | 0.2 | 0.2 | 0.0 | 0.3 | 0.7 | 0.0 | - | - | - | - | 25.0 | 33.3 | 50.0 | -2.51 | 41.0 | 37.5 |
Niko Roberts
|
G | 6 | 2.3 | 0.3 | 0.5 | 0.0 | 0.0 | 0.0 | 0.2 | 0.5 | 0.2 | -10 | 5 | -2.0 | -33.2 | 0.0 | 0.0 | 50.0 | -2.31 | 21.0 | 0.0 |
Justin Wesley
|
F | 14 | 2.3 | 0.1 | 0.6 | 0.0 | 0.0 | 0.1 | 0.1 | 0.2 | 0.5 | -5 | 11 | -0.5 | -7.6 | 0.0 | 0.0 | 50.0 | -1.25 | 12.9 | 0.0 |
Christian Garrett
|
G | 7 | 1.6 | 0.0 | 0.1 | 0.1 | 0.0 | 0.0 | 0.4 | 0.1 | -0.3 | - | - | - | - | 0.0 | 0 | 0.0 | -2.03 | 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