South Bay Lakers
Model Outputs
2018-2019
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 → | 969 (#18) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 937 (#19) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -3.1 (#22) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.405 (#22) | - |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-03 | vs | STO | L | 106 - 108 |
| 2018-11-05 | @ | STO | L | 87 - 120 |
| 2018-11-09 | @ | OKL | L | 99 - 103 |
| 2018-11-12 | vs | IWA | W | 119 - 118 |
| 2018-11-15 | @ | SLC | L | 104 - 113 |
| 2018-11-16 | @ | SCW | L | 89 - 97 |
| 2018-11-18 | vs | SLC | W | 107 - 92 |
| 2018-11-20 | vs | ACC | L | 120 - 125 |
| 2018-11-23 | @ | SXF | L | 112 - 152 |
| 2018-11-24 | @ | SXF | W | 112 - 109 |
| 2018-11-28 | vs | TEX | W | 123 - 113 |
| 2018-12-01 | @ | MHU | W | 96 - 94 |
| 2018-12-03 | @ | WCB | W | 107 - 101 |
| 2018-12-05 | @ | WES | L | 89 - 103 |
| 2018-12-07 | vs | SCW | W | 120 - 119 |
| 2018-12-08 | vs | ERI | W | 127 - 118 |
| 2018-12-13 | vs | CAP | L | 106 - 107 |
| 2018-12-15 | vs | SXF | W | 124 - 119 |
| 2018-12-20 | vs | GBO | L | 90 - 106 |
| 2018-12-22 | @ | FWN | L | 97 - 100 |
| 2018-12-27 | vs | MHU | L | 115 - 121 |
| 2018-12-29 | vs | NAS | W | 119 - 114 |
| 2019-01-03 | vs | OKL | L | 107 - 114 |
| 2019-01-07 | @ | RGV | L | 85 - 127 |
| 2019-01-12 | vs | CTN | L | 115 - 122 |
| 2019-01-15 | @ | MHU | W | 113 - 106 |
| 2019-01-18 | @ | AUS | L | 114 - 122 |
| 2019-01-20 | vs | RGV | L | 119 - 125 |
| 2019-01-22 | @ | ACC | L | 115 - 125 |
| 2019-01-25 | vs | IWA | W | 117 - 101 |
| 2019-01-27 | @ | SCW | L | 93 - 111 |
| 2019-01-28 | vs | LAK | L | 106 - 108 |
| 2019-02-01 | @ | IWA | L | 97 - 134 |
| 2019-02-02 | @ | TEX | W | 148 - 114 |
| 2019-02-08 | vs | RGV | L | 127 - 128 |
| 2019-02-10 | @ | OKL | W | 113 - 110 |
| 2019-02-13 | @ | TEX | L | 105 - 122 |
| 2019-02-20 | @ | NAS | L | 126 - 130 |
| 2019-02-22 | vs | AUS | W | 115 - 95 |
| 2019-02-28 | @ | STO | L | 115 - 122 |
| 2019-03-02 | vs | SLC | W | 118 - 109 |
| 2019-03-05 | vs | NAS | L | 100 - 114 |
| 2019-03-07 | vs | ACC | W | 110 - 95 |
| 2019-03-09 | @ | ACC | L | 110 - 122 |
| 2019-03-11 | @ | WIS | W | 126 - 115 |
| 2019-03-13 | @ | GRD | W | 106 - 98 |
| 2019-03-16 | vs | AUS | W | 131 - 123 |
| 2019-03-18 | vs | SCW | W | 113 - 108 |
| 2019-03-21 | vs | STO | L | 108 - 118 |
| 2019-03-23 | @ | NAS | L | 96 - 99 |
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Svi Mykhailiuk | F | 5 | 0.0 | 29.2 | 2.8 | 2.6 | 0.6 | 0.4 | 3.6 | 21.2 | 10.8 | - | - | - | 49.1 | 44.9 | 80.0 | - | 62.4 | 59.4 |
| Moritz Wagner | C | 6 | 0.0 | 16.5 | 5.8 | 2.8 | 0.3 | 0.7 | 1.8 | 13.3 | 11.0 | - | - | - | 48.8 | 32.4 | 50.0 | - | 56.3 | 56.2 |
| Scott Machado | G | 45 | 0.0 | 16.4 | 3.4 | 8.0 | 1.1 | 0.2 | 3.8 | 13.2 | 12.1 | - | - | - | 43.5 | 28.7 | 89.8 | - | 54.5 | 48.0 |
| Travis Wear | F | 39 | 0.0 | 15.8 | 6.6 | 1.9 | 0.8 | 0.6 | 1.4 | 13.7 | 10.6 | - | - | - | 40.8 | 38.1 | 77.9 | - | 53.8 | 51.3 |
| Johnathan Williams | F | 36 | 0.0 | 15.2 | 8.7 | 1.7 | 0.7 | 0.9 | 2.0 | 12.2 | 13.0 | - | - | - | 54.6 | 25.0 | 43.3 | - | 55.0 | 55.8 |
| Alex Caruso | G | 27 | 0.0 | 14.0 | 3.7 | 5.9 | 2.2 | 0.6 | 3.4 | 11.6 | 11.5 | - | - | - | 41.0 | 26.9 | 81.0 | - | 52.2 | 45.7 |
| Spencer Hawes | C | 9 | 0.0 | 14.0 | 7.0 | 4.2 | 1.3 | 1.4 | 1.8 | 10.7 | 15.6 | - | - | - | 43.8 | 45.0 | 82.8 | - | 57.9 | 53.1 |
| Isaac Bonga | G | 31 | 0.0 | 11.9 | 6.2 | 2.7 | 1.2 | 1.1 | 2.8 | 9.9 | 10.4 | - | - | - | 43.2 | 34.4 | 81.6 | - | 53.4 | 48.5 |
| Joel Berry | G | 21 | 0.0 | 11.1 | 1.3 | 2.5 | 0.6 | 0.3 | 1.4 | 11.1 | 3.4 | - | - | - | 39.1 | 27.2 | 80.0 | - | 47.5 | 45.1 |
| Justin Harper | F | 35 | 0.0 | 10.7 | 3.9 | 2.2 | 0.4 | 0.2 | 1.0 | 9.8 | 6.7 | - | - | - | 39.4 | 34.6 | 86.7 | - | 51.5 | 48.8 |
| Demarcus Holland | G | 12 | 0.0 | 10.1 | 4.2 | 1.3 | 1.1 | 0.2 | 1.6 | 9.0 | 6.2 | - | - | - | 42.6 | 24.0 | 79.3 | - | 50.1 | 45.4 |
| Jeffrey Carroll | G | 24 | 0.0 | 9.7 | 2.8 | 0.9 | 0.8 | 0.2 | 0.9 | 7.8 | 5.7 | - | - | - | 48.1 | 31.9 | 79.5 | - | 57.1 | 54.0 |
| Jemerrio Jones | F | 47 | 0.0 | 9.4 | 9.6 | 3.5 | 1.4 | 1.0 | 2.1 | 7.8 | 15.0 | - | - | - | 54.2 | 34.1 | 50.0 | - | 56.3 | 56.3 |
| Andre Ingram | G | 37 | 0.0 | 8.8 | 2.8 | 0.9 | 0.7 | 0.1 | 0.6 | 7.8 | 5.1 | - | - | - | 39.7 | 35.8 | 83.3 | - | 53.1 | 50.0 |
| Marcus Allen | G | 43 | 0.0 | 8.5 | 2.5 | 1.1 | 0.8 | 0.2 | 1.0 | 7.3 | 4.8 | - | - | - | 47.9 | 31.2 | 50.5 | - | 51.2 | 50.3 |
| Kadeem Jack | C | 9 | 0.0 | 6.1 | 4.4 | 0.3 | 0.7 | 0.3 | 0.9 | 6.1 | 4.9 | - | - | - | 43.6 | 0.0 | 63.6 | - | 46.0 | 43.6 |
| Derrick Griffin | C | 25 | 0.0 | 5.5 | 3.5 | 0.5 | 0.2 | 0.4 | 0.6 | 4.0 | 5.6 | - | - | - | 61.6 | 0 | 53.3 | - | 61.5 | 61.6 |
| Robert Heyer | G | 37 | 0.0 | 5.5 | 3.1 | 1.6 | 0.8 | 0.1 | 0.7 | 4.7 | 5.7 | - | - | - | 44.6 | 31.5 | 86.4 | - | 55.2 | 52.9 |
| Wes VanBeck | - | 2 | 0.0 | 0.0 | 1.5 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.5 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
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