Oklahoma City Blue
Model Outputs
2015-2016
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 → | 901 (#14) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 834 (#19) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -6.6 (#19) | HCA +2.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.286 (#18) | - |
2016 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2015-11-14 | vs | AUS | L | 86 - 110 |
| 2015-11-15 | vs | TEX | L | 95 - 105 |
| 2015-11-19 | @ | RGV | L | 108 - 125 |
| 2015-11-21 | @ | TEX | L | 78 - 102 |
| 2015-11-24 | vs | LAD | L | 90 - 94 |
| 2015-11-28 | @ | TEX | L | 95 - 104 |
| 2015-12-01 | vs | IDA | L | 84 - 93 |
| 2015-12-03 | vs | IDA | L | 89 - 91 |
| 2015-12-05 | vs | WES | W | 116 - 92 |
| 2015-12-08 | @ | BAK | L | 91 - 102 |
| 2015-12-12 | vs | SCW | L | 87 - 91 |
| 2015-12-15 | vs | RNO | L | 109 - 116 |
| 2015-12-18 | @ | IWA | W | 112 - 107 |
| 2015-12-20 | vs | AUS | L | 87 - 101 |
| 2015-12-25 | @ | SXF | L | 74 - 99 |
| 2015-12-27 | @ | IDA | W | 102 - 95 |
| 2015-12-29 | @ | IDA | T | 98 - 98 |
| 2016-01-02 | @ | CTN | L | 79 - 120 |
| 2016-01-06 | @ | DEL | W | 115 - 114 |
| 2016-01-08 | vs | GRD | L | 78 - 102 |
| 2016-01-12 | vs | TEX | L | 104 - 116 |
| 2016-01-15 | @ | BAK | L | 95 - 105 |
| 2016-01-17 | @ | RNO | L | 110 - 133 |
| 2016-01-18 | @ | RNO | L | 88 - 119 |
| 2016-01-20 | @ | RGV | L | 112 - 125 |
| 2016-01-22 | vs | LAD | L | 96 - 118 |
| 2016-01-23 | vs | BAK | W | 111 - 86 |
| 2016-01-25 | vs | LAD | W | 107 - 100 |
| 2016-01-28 | vs | RGV | W | 124 - 112 |
| 2016-01-30 | @ | LAD | L | 90 - 99 |
| 2016-02-02 | @ | BAK | L | 111 - 132 |
| 2016-02-04 | @ | LAD | L | 92 - 114 |
| 2016-02-06 | vs | RAP | W | 101 - 90 |
| 2016-02-19 | @ | AUS | W | 95 - 91 |
| 2016-02-20 | @ | AUS | L | 94 - 96 |
| 2016-02-27 | vs | AUS | W | 90 - 78 |
| 2016-02-28 | @ | AUS | L | 104 - 110 |
| 2016-03-04 | vs | SCW | W | 107 - 106 |
| 2016-03-05 | vs | SCW | L | 98 - 111 |
| 2016-03-08 | @ | RGV | W | 120 - 112 |
| 2016-03-10 | vs | RNO | L | 122 - 126 |
| 2016-03-12 | vs | RNO | W | 130 - 123 |
| 2016-03-15 | @ | IDA | L | 96 - 103 |
| 2016-03-18 | @ | SCW | W | 114 - 108 |
| 2016-03-19 | @ | SCW | W | 107 - 106 |
| 2016-03-22 | vs | BAK | W | 110 - 100 |
| 2016-03-25 | vs | TEX | L | 85 - 88 |
| 2016-03-29 | vs | RGV | L | 97 - 118 |
| 2016-03-31 | vs | RGV | L | 117 - 122 |
| 2016-04-01 | @ | TEX | L | 109 - 139 |
2016 Roster
Minutes by Position
Not enough player minute data to plot.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cameron Payne | G | 2 | 0.0 | 23.5 | 3.5 | 7.0 | 2.0 | 0.5 | 3.5 | 20.5 | 12.5 | - | - | - | 43.9 | 42.9 | 83.3 | - | 53.8 | 51.2 |
| Dwight Buycks | G | 15 | 0.0 | 19.3 | 4.3 | 4.8 | 1.7 | 0.2 | 3.2 | 16.9 | 10.3 | - | - | - | 43.9 | 34.1 | 81.2 | - | 52.9 | 49.6 |
| Jannero Pargo | - | 2 | 0.0 | 19.0 | 1.5 | 2.5 | 0.5 | 0.0 | 2.5 | 14.5 | 6.5 | - | - | - | 55.2 | 42.9 | 0 | - | 65.5 | 65.5 |
| Marquis Teague | G | 50 | 0.0 | 15.7 | 2.8 | 5.9 | 0.7 | 0.3 | 3.0 | 14.0 | 8.4 | - | - | - | 41.4 | 38.9 | 68.5 | - | 49.8 | 46.2 |
| Mitch McGary | F | 26 | 0.0 | 14.7 | 8.8 | 1.5 | 1.1 | 0.8 | 2.8 | 13.1 | 10.9 | - | - | - | 45.7 | 23.9 | 76.3 | - | 50.9 | 47.4 |
| Talib Zanna | F | 45 | 0.0 | 14.1 | 10.1 | 1.1 | 1.1 | 0.3 | 2.0 | 10.0 | 14.7 | - | - | - | 46.5 | 29.3 | 71.6 | - | 55.0 | 47.8 |
| Dez Wells | G | 24 | 0.0 | 12.7 | 2.2 | 1.9 | 0.8 | 0.4 | 1.8 | 11.0 | 5.2 | - | - | - | 43.3 | 24.7 | 68.4 | - | 51.0 | 47.5 |
| Josh Huestis | F | 25 | 0.0 | 12.7 | 5.3 | 0.9 | 0.6 | 1.4 | 1.2 | 11.9 | 7.8 | - | - | - | 39.7 | 31.2 | 47.4 | - | 48.0 | 47.3 |
| Dakari Johnson | C | 50 | 0.0 | 12.3 | 8.1 | 2.0 | 0.7 | 1.2 | 1.6 | 9.5 | 13.2 | - | - | - | 53.0 | 0.0 | 58.1 | - | 55.0 | 53.0 |
| JP Tokoto | G | 48 | 0.0 | 11.1 | 4.1 | 2.0 | 1.5 | 0.5 | 1.9 | 9.2 | 8.2 | - | - | - | 46.0 | 25.0 | 71.2 | - | 52.3 | 47.9 |
| Aaron Harrison | - | 4 | 0.0 | 9.2 | 2.2 | 1.8 | 0.5 | 0.2 | 2.0 | 9.8 | 2.2 | - | - | - | 30.8 | 16.7 | 71.4 | - | 41.0 | 34.6 |
| Tomislav Zubcic | - | 36 | 0.0 | 7.7 | 4.8 | 1.4 | 0.5 | 0.3 | 1.0 | 6.5 | 7.3 | - | - | - | 42.1 | 35.2 | 80.0 | - | 54.6 | 51.5 |
| Dane Miller | - | 26 | 0.0 | 7.1 | 3.5 | 1.8 | 0.6 | 0.5 | 2.0 | 5.8 | 5.8 | - | - | - | 47.7 | 22.7 | 50.7 | - | 50.8 | 49.3 |
| Boubacar Moungoro | G | 47 | 0.0 | 5.7 | 2.0 | 1.0 | 0.7 | 0.2 | 0.8 | 5.6 | 3.2 | - | - | - | 34.3 | 33.0 | 73.3 | - | 48.5 | 46.8 |
| Kameron Woods | F | 49 | 0.0 | 4.7 | 5.3 | 0.9 | 0.6 | 0.7 | 0.9 | 3.7 | 7.6 | - | - | - | 48.0 | 38.3 | 67.9 | - | 57.1 | 54.5 |
| James Carlton | - | 7 | 0.0 | 1.6 | 1.0 | 0.0 | 0.0 | 0.4 | 0.0 | 1.9 | 1.1 | - | - | - | 30.8 | 27.3 | 0 | - | 42.3 | 42.3 |
| Mike Cobbins | - | 29 | 0.0 | 1.6 | 1.3 | 0.1 | 0.2 | 0.1 | 0.5 | 1.3 | 1.6 | - | - | - | 50.0 | 0.0 | 45.0 | - | 50.2 | 50.0 |
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