Texas Legends
Model Outputs
2022-2023
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 → | 936 (#25) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 914 (#25) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -3.4 (#27) | HCA +1.6 |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-12-29 | @ | BHM | L | 101 - 134 |
| 2022-12-30 | @ | BHM | W | 104 - 94 |
| 2023-01-01 | @ | IWA | W | 138 - 126 |
| 2023-01-04 | @ | SXF | L | 130 - 132 |
| 2023-01-07 | vs | MHU | L | 105 - 118 |
| 2023-01-08 | vs | MHU | L | 114 - 119 |
| 2023-01-13 | vs | SBL | L | 105 - 125 |
| 2023-01-14 | vs | SBL | W | 113 - 106 |
| 2023-01-16 | vs | SLC | L | 116 - 125 |
| 2023-01-21 | vs | OKL | W | 121 - 117 |
| 2023-01-26 | @ | AUS | L | 108 - 131 |
| 2023-01-28 | vs | MXC | L | 117 - 120 |
| 2023-01-29 | vs | MXC | L | 110 - 114 |
| 2023-01-31 | @ | SXF | L | 93 - 105 |
| 2023-02-09 | @ | IWA | W | 130 - 121 |
| 2023-02-11 | vs | GLI | W | 107 - 89 |
| 2023-02-14 | @ | ONT | L | 101 - 107 |
| 2023-02-15 | @ | SCW | L | 111 - 130 |
| 2023-02-24 | vs | WIS | L | 122 - 123 |
| 2023-02-25 | vs | RGV | L | 98 - 112 |
| 2023-03-02 | @ | STO | L | 100 - 127 |
| 2023-03-04 | @ | STO | L | 106 - 129 |
| 2023-03-06 | vs | SLC | L | 128 - 134 |
| 2023-03-08 | vs | WCB | L | 110 - 122 |
| 2023-03-09 | vs | WCB | L | 110 - 135 |
| 2023-03-12 | vs | GLI | L | 82 - 99 |
| 2023-03-14 | @ | DEL | L | 116 - 148 |
| 2023-03-16 | @ | DEL | W | 132 - 129 |
| 2023-03-17 | @ | CCG | L | 91 - 140 |
| 2023-03-19 | vs | OKL | L | 107 - 122 |
| 2023-03-23 | @ | ONT | L | 125 - 128 |
| 2023-03-25 | @ | SCW | L | 111 - 134 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Grant Riller | G | 26 | 0.0 | 21.3 | 2.8 | 3.8 | 0.8 | 0.3 | 2.3 | 16.0 | 10.7 | - | - | - | 52.4 | 32.8 | 80.8 | - | 61.4 | 55.0 |
| Justin Jackson | F | 14 | 0.0 | 21.1 | 6.4 | 3.0 | 0.9 | 0.6 | 1.1 | 16.1 | 14.7 | - | - | - | 44.2 | 42.2 | 62.1 | - | 61.8 | 58.0 |
| A.J. Lawson | G | 9 | 0.0 | 20.1 | 8.8 | 1.9 | 1.7 | 0.7 | 1.7 | 15.8 | 15.7 | - | - | - | 47.9 | 32.8 | 80.0 | - | 60.0 | 54.6 |
| McKinley Wright IV | G | 6 | 0.0 | 19.0 | 4.2 | 7.0 | 0.7 | 0.3 | 2.7 | 14.8 | 13.7 | - | - | - | 47.2 | 19.0 | 90.0 | - | 58.3 | 49.4 |
| Tyler Dorsey | G | 12 | 0.0 | 18.9 | 4.6 | 2.7 | 0.5 | 0.2 | 1.6 | 17.2 | 8.1 | - | - | - | 39.8 | 37.4 | 80.0 | - | 52.8 | 48.8 |
| Kalob Ledoux | G | 10 | 0.0 | 14.0 | 3.1 | 2.5 | 0.7 | 0.1 | 1.1 | 12.1 | 7.2 | - | - | - | 39.7 | 36.5 | 66.7 | - | 53.7 | 49.2 |
| Taze Moore | G | 24 | 0.0 | 13.9 | 6.6 | 3.6 | 1.5 | 0.6 | 1.9 | 11.2 | 13.2 | - | - | - | 49.3 | 36.8 | 67.9 | - | 59.2 | 56.5 |
| Tyler Hall | G | 32 | 0.0 | 13.4 | 3.4 | 1.9 | 0.6 | 0.2 | 0.9 | 10.5 | 8.0 | - | - | - | 41.8 | 39.6 | 78.3 | - | 61.8 | 58.6 |
| Yudai Baba | G | 23 | 0.0 | 12.3 | 4.8 | 2.1 | 1.4 | 0.2 | 1.3 | 9.2 | 10.3 | - | - | - | 51.4 | 40.3 | 69.0 | - | 62.7 | 58.7 |
| Amauri Hardy | G | 29 | 0.0 | 11.7 | 2.3 | 3.9 | 0.8 | 0.2 | 1.4 | 10.5 | 7.0 | - | - | - | 42.8 | 31.7 | 69.4 | - | 52.8 | 48.0 |
| Jacob Young | - | 2 | 0.0 | 10.5 | 3.5 | 4.0 | 2.5 | 0.5 | 0.5 | 13.5 | 7.0 | - | - | - | 29.6 | 23.1 | 100.0 | - | 38.3 | 35.2 |
| Lacey James | C | 10 | 0.0 | 10.1 | 6.9 | 2.0 | 0.5 | 1.3 | 1.8 | 8.3 | 10.7 | - | - | - | 45.8 | 18.2 | 70.0 | - | 55.0 | 47.0 |
| EJ Anosike | - | 2 | 0.0 | 9.0 | 4.0 | 1.5 | 0.0 | 0.5 | 1.0 | 5.5 | 8.5 | - | - | - | 54.5 | 50.0 | 66.7 | - | 73.1 | 63.6 |
| Josh Nzeakor | F | 10 | 0.0 | 9.0 | 7.6 | 2.9 | 0.7 | 0.3 | 1.5 | 5.9 | 13.1 | - | - | - | 57.6 | 0 | 68.2 | - | 65.5 | 57.6 |
| Mouhamadou Gueye | C | 11 | 0.0 | 9.0 | 5.1 | 1.6 | 0.3 | 1.7 | 1.7 | 6.2 | 9.8 | - | - | - | 55.9 | 18.2 | 68.8 | - | 66.0 | 57.4 |
| Olin Carter III | - | 13 | 0.0 | 6.8 | 1.8 | 1.4 | 0.5 | 0.5 | 0.8 | 7.2 | 2.9 | - | - | - | 30.9 | 20.8 | 100.0 | - | 44.7 | 36.7 |
| Tra-Deon Hollins | - | 4 | 0.0 | 6.5 | 2.0 | 6.2 | 1.2 | 0.2 | 2.8 | 7.5 | 6.0 | - | - | - | 26.7 | 22.2 | 75.0 | - | 40.9 | 33.3 |
| Norense Odiase | F | 12 | 0.0 | 6.1 | 6.0 | 1.4 | 0.4 | 0.6 | 1.6 | 4.4 | 8.5 | - | - | - | 62.3 | 0 | 50.0 | - | 64.6 | 62.3 |
| James Banks III | G | 9 | 0.0 | 5.6 | 5.9 | 2.6 | 0.6 | 1.9 | 1.4 | 4.8 | 10.2 | - | - | - | 48.8 | 0 | 62.5 | - | 53.7 | 48.8 |
| Todd Withers | F | 20 | 0.0 | 5.2 | 4.6 | 1.4 | 0.9 | 1.0 | 0.9 | 4.5 | 7.8 | - | - | - | 42.2 | 32.7 | 100.0 | - | 55.3 | 52.2 |
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