Noblesville Boom
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 → | 1037 (#11) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1003 (#17) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -1.0 (#19) | HCA +1.6 |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-12-27 | vs | MNE | L | 113 - 126 |
| 2022-12-29 | vs | WCB | W | 131 - 121 |
| 2023-01-04 | vs | WCB | L | 116 - 128 |
| 2023-01-05 | @ | GRG | W | 129 - 108 |
| 2023-01-08 | vs | CLC | L | 119 - 122 |
| 2023-01-14 | vs | WIS | W | 129 - 123 |
| 2023-01-16 | @ | GLI | W | 141 - 119 |
| 2023-01-17 | @ | GLI | W | 121 - 114 |
| 2023-01-19 | @ | SLC | W | 121 - 107 |
| 2023-01-22 | vs | CPS | L | 91 - 129 |
| 2023-01-25 | vs | MNE | W | 133 - 119 |
| 2023-01-27 | @ | OSC | L | 121 - 128 |
| 2023-01-28 | @ | OSC | W | 124 - 116 |
| 2023-02-04 | vs | CCG | W | 122 - 115 |
| 2023-02-06 | vs | CCG | L | 123 - 126 |
| 2023-02-08 | vs | OKL | W | 133 - 119 |
| 2023-02-10 | @ | GBO | L | 137 - 138 |
| 2023-02-12 | vs | SBL | L | 102 - 124 |
| 2023-02-13 | vs | SBL | W | 132 - 128 |
| 2023-02-15 | vs | CPS | W | 141 - 135 |
| 2023-02-22 | @ | LIN | L | 102 - 122 |
| 2023-02-24 | @ | WES | W | 122 - 119 |
| 2023-02-26 | @ | GRG | L | 104 - 110 |
| 2023-03-02 | @ | RAP | L | 125 - 135 |
| 2023-03-04 | @ | RAP | L | 114 - 129 |
| 2023-03-09 | vs | MCC | L | 116 - 119 |
| 2023-03-11 | vs | MCC | L | 102 - 132 |
| 2023-03-14 | @ | LIN | W | 125 - 114 |
| 2023-03-16 | @ | WES | W | 117 - 108 |
| 2023-03-19 | vs | WIS | W | 128 - 114 |
| 2023-03-24 | @ | DEL | W | 114 - 110 |
| 2023-03-25 | @ | DEL | W | 125 - 121 |
| 2023-03-28 | @ | CCG | L | 87 - 101 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Trevelin Queen | G | 24 | 0.0 | 22.6 | 6.5 | 4.5 | 2.1 | 0.8 | 3.8 | 18.2 | 14.5 | - | - | - | 48.2 | 26.5 | 88.9 | - | 59.1 | 53.3 |
| Justin Anderson | G | 31 | 0.0 | 22.3 | 5.0 | 4.8 | 1.1 | 0.8 | 2.7 | 16.1 | 15.3 | - | - | - | 46.7 | 32.0 | 83.3 | - | 62.4 | 53.0 |
| Gabe York | G | 28 | 0.0 | 21.1 | 4.4 | 3.9 | 1.6 | 0.2 | 1.9 | 16.5 | 12.9 | - | - | - | 44.1 | 39.2 | 82.5 | - | 60.6 | 55.4 |
| Isaiah Jackson | C | 2 | 0.0 | 20.5 | 10.5 | 2.0 | 0.5 | 2.5 | 3.0 | 16.5 | 16.5 | - | - | - | 51.5 | 40.0 | 75.0 | - | 59.0 | 54.5 |
| Jermaine Samuels Jr. | F | 33 | 0.0 | 18.0 | 9.2 | 2.8 | 1.4 | 1.0 | 2.0 | 11.2 | 19.2 | - | - | - | 64.8 | 40.0 | 57.5 | - | 71.6 | 67.2 |
| Terry Taylor | F | 1 | 0.0 | 17.0 | 7.0 | 3.0 | 0.0 | 1.0 | 0.0 | 18.0 | 10.0 | - | - | - | 33.3 | 16.7 | 100.0 | - | 45.0 | 36.1 |
| David Stockton | G | 23 | 0.0 | 13.6 | 3.1 | 9.1 | 1.4 | 0.5 | 2.8 | 10.5 | 14.3 | - | - | - | 45.9 | 39.5 | 90.0 | - | 60.3 | 52.9 |
| Tevin Brown | G | 33 | 0.0 | 9.7 | 3.8 | 2.0 | 1.1 | 0.5 | 1.0 | 8.1 | 8.0 | - | - | - | 44.8 | 32.9 | 78.3 | - | 57.5 | 54.5 |
| Kendall Brown | F | 10 | 0.0 | 9.6 | 3.8 | 2.4 | 1.3 | 0.7 | 1.1 | 7.4 | 9.3 | - | - | - | 55.4 | 29.4 | 75.0 | - | 61.9 | 58.8 |
| Pedro Bradshaw | G | 30 | 0.0 | 9.4 | 5.9 | 1.0 | 0.7 | 0.4 | 0.8 | 5.9 | 10.7 | - | - | - | 50.8 | 40.4 | 76.3 | - | 69.2 | 56.2 |
| Jordan Bone | G | 9 | 0.0 | 8.7 | 4.0 | 4.7 | 0.2 | 0.1 | 1.6 | 9.2 | 6.9 | - | - | - | 36.1 | 31.1 | 100.0 | - | 46.3 | 44.6 |
| Deividas Sirvydis | F | 6 | 0.0 | 8.5 | 4.0 | 0.8 | 0.0 | 0.2 | 1.2 | 7.5 | 4.8 | - | - | - | 37.8 | 35.1 | 100.0 | - | 55.1 | 52.2 |
| Elfrid Payton | G | 11 | 0.0 | 7.5 | 4.3 | 5.5 | 1.5 | 0.5 | 2.1 | 8.2 | 9.0 | - | - | - | 42.2 | 28.6 | 28.6 | - | 44.6 | 44.4 |
| Eli Brooks | G | 15 | 0.0 | 6.8 | 5.6 | 3.7 | 0.5 | 0.1 | 1.1 | 5.7 | 9.9 | - | - | - | 41.9 | 38.1 | 66.7 | - | 55.1 | 51.2 |
| Norvel Pelle | - | 11 | 0.0 | 5.0 | 3.9 | 0.5 | 0.2 | 1.3 | 1.1 | 4.3 | 5.5 | - | - | - | 44.7 | 0 | 63.6 | - | 53.0 | 44.7 |
| Noah Starkey | - | 17 | 0.0 | 4.1 | 3.2 | 0.3 | 0.1 | 0.2 | 0.4 | 3.2 | 4.3 | - | - | - | 47.3 | 0.0 | 73.3 | - | 56.8 | 47.3 |
| Jaire Grayer | - | 5 | 0.0 | 3.6 | 1.4 | 0.6 | 1.0 | 0.4 | 0.4 | 1.8 | 4.8 | - | - | - | 55.6 | 40.0 | 83.3 | - | 77.3 | 66.7 |
| Devontae Shuler | - | 6 | 0.0 | 2.2 | 0.2 | 0.3 | 0.0 | 0.0 | 0.5 | 2.2 | 0.0 | - | - | - | 46.2 | 16.7 | 0 | - | 50.0 | 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