Oklahoma
2014 Team Stats (16 games)
79.3
PPG
-
Opp
-
Margin
43.2%
FG%
37.3%
3P%
76.8%
FT%
36.3
RPG
14.4
APG
10.6
TO
-
Est. poss./game
83.2
Adj PPG
70.2
Adj Opp PPG
#30
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 | 1179 (#51) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1251 (#34) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1047 (#103) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +14.0 (#27) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +13.1 (#27) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.704 (#55) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.906 (#31) | AdjNet +19.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.907 (#31) | AdjNet +19.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.764 (#30) | AdjO 83.2 | AdjD 70.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.668 (#40) | AdjO 77.9 | AdjD 70.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.788 (#36) | 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 | 0.771 (#37) | 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 | 1237 (#40) | RD 114 | GP 33 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Buddy Hield
|
G | 27 | 32.2 | 16.3 | 4.4 | 1.9 | 1.4 | 0.1 | 1.9 | 8.5 | 13.8 | 205 | 28 | 7.3 | 10.0 | 45.0 | 40.4 | 76.5 | 2.76 | 90.4 | 57.0 |
Cameron Clark
|
G | 27 | 27.2 | 15.9 | 5.1 | 1.1 | 1.0 | 0.4 | 1.3 | 8.1 | 14.1 | 135 | 28 | 4.8 | 7.7 | 45.5 | 34.0 | 80.0 | -0.61 | 88.6 | 49.1 |
Isaiah Cousins
|
G | 27 | 29.6 | 11.7 | 4.0 | 2.1 | 1.1 | 0.4 | 1.1 | 5.5 | 12.8 | 175 | 28 | 6.2 | 9.4 | 45.9 | 43.6 | 80.4 | 2.53 | 92.7 | 54.1 |
Ryan Spangler
|
F | 27 | 29.4 | 9.6 | 9.2 | 1.3 | 0.6 | 1.0 | 1.0 | 3.5 | 17.2 | 229 | 28 | 8.2 | 12.3 | 50.0 | 50.0 | 73.1 | 4.33 | 104.5 | 50.5 |
Jordan Woodard
|
G | 27 | 27.5 | 9.6 | 2.1 | 4.5 | 1.1 | 0.1 | 2.0 | 4.5 | 11.0 | 135 | 28 | 4.8 | 7.7 | 36.4 | 37.5 | 79.7 | 0.75 | 83.1 | 42.6 |
Tyler Neal
|
F | 27 | 15.4 | 5.7 | 2.8 | 0.6 | 0.3 | 0.3 | 0.9 | 2.9 | 5.9 | 87 | 28 | 3.1 | 9.5 | 41.6 | 40.9 | 85.2 | 2.09 | 87.2 | 53.2 |
Je'lon Hornbeak
|
G | 26 | 18.3 | 5.3 | 1.9 | 2.6 | 0.8 | 0.1 | 1.3 | 2.3 | 7.0 | 111 | 24 | 4.6 | 11.1 | 39.3 | 22.6 | 70.6 | 1.69 | 90.2 | 45.1 |
Frank Booker
|
G | 26 | 12.8 | 4.6 | 1.3 | 0.5 | 0.3 | 0.2 | 0.7 | 2.2 | 4.1 | 26 | 27 | 1.0 | 3.1 | 32.1 | 34.6 | 66.7 | -1.83 | 93.9 | 48.2 |
D.J. Bennett
|
F | 27 | 9.0 | 2.7 | 2.0 | 0.1 | 0.2 | 0.9 | 0.5 | 1.0 | 4.4 | -9 | 27 | -0.3 | -1.7 | 51.9 | 0 | 76.9 | -1.15 | 110.0 | 51.9 |
Trey Slate
|
G | 5 | 2.0 | 0.8 | 0.2 | 0.0 | 0.0 | 0.0 | 0.4 | 0.4 | 0.2 | -12 | 6 | -2.0 | -52.7 | 50.0 | 0.0 | 0 | -2.34 | 100.0 | 50.0 |
C.J. Cole
|
F | 7 | 3.4 | 0.6 | 1.0 | 0.0 | 0.1 | 0.0 | 0.1 | 0.3 | 1.3 | -9 | 8 | -1.1 | -16.6 | 0.0 | 0.0 | 0 | -2.48 | 100.0 | 0.0 |
James Fraschilla
|
G | 4 | 1.8 | 0.5 | 0.5 | 0.2 | 0.2 | 0.0 | 0.8 | 0.0 | 0.8 | -8 | 5 | -1.6 | -50.7 | 0 | 0 | 50.0 | -1.64 | 113.6 | 0 |
Austin Mankin
|
F | 7 | 2.7 | 0.4 | 0.3 | 0.4 | 0.0 | 0.0 | 0.0 | 0.1 | 1.0 | -4 | 9 | -0.4 | -9.7 | 0.0 | 0 | 0 | -1.35 | 150.0 | 0.0 |
Daniel Harper
|
G | 4 | 1.5 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | -11 | 5 | -2.2 | -74.4 | 0 | 0 | 0 | -2.27 | 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