High Point
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.
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 → | 1059 (#119) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1089 (#110) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 1.000 (#31) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 1.000 (#22) | NetEff +71.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.999 (#14) | AdjNet +58.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.999 (#14) | AdjNet +58.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.968 (#20) | AdjO 85.1 | AdjD 47.6 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-11 | vs | Lees-McRae | W | 99 - 47 |
| 2023-11-30 | vs | Johnson C. Smith | W | 61 - 50 |
2024 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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Lauren Bevis | - | 1 | 26.0 | 26.0 | 2.0 | 1.0 | 2.0 | 0.0 | 2.0 | 13.0 | 16.0 | - | - | - | 69.2 | 55.6 | 75.0 | - | 88.1 | 88.5 |
| Nakyah Terrell | - | 2 | 30.0 | 17.0 | 6.0 | 4.5 | 2.0 | 0.0 | 2.0 | 9.5 | 18.0 | - | - | - | 63.2 | 60.0 | 80.0 | - | 80.2 | 78.9 |
| Bukky Akinsola | - | 2 | 23.5 | 12.0 | 3.5 | 1.0 | 1.0 | 0.0 | 3.0 | 10.5 | 4.0 | - | - | - | 52.4 | 50.0 | 50.0 | - | 54.8 | 54.8 |
| Claire Wyatt | - | 2 | 21.5 | 7.5 | 3.0 | 2.0 | 0.5 | 0.0 | 2.5 | 6.5 | 4.0 | - | - | - | 46.2 | 50.0 | 0.0 | - | 50.8 | 57.7 |
| Amaria McNear | - | 2 | 17.0 | 7.5 | 3.0 | 1.0 | 0.0 | 1.0 | 1.5 | 3.0 | 8.0 | - | - | - | 66.7 | 66.7 | 83.3 | - | 86.8 | 83.3 |
| Callie Scheier | - | 2 | 30.5 | 6.0 | 7.0 | 5.0 | 2.0 | 0.0 | 2.0 | 6.5 | 11.5 | - | - | - | 15.4 | 0.0 | 80.0 | - | 34.5 | 15.4 |
| Nevaeh Zavala | - | 2 | 14.5 | 3.5 | 4.5 | 0.5 | 1.0 | 0.5 | 0.5 | 3.0 | 6.5 | - | - | - | 33.3 | 50.0 | 50.0 | -0.15 | 50.9 | 50.0 |
| Anna Hager | - | 2 | 17.0 | 3.5 | 4.0 | 0.5 | 0.0 | 0.5 | 1.0 | 4.0 | 3.5 | - | - | - | 25.0 | 33.3 | 66.7 | 0.12 | 37.6 | 31.2 |
| Faith Price | - | 2 | 9.0 | 3.0 | 2.5 | 0.0 | 1.5 | 0.0 | 0.5 | 2.0 | 4.5 | - | - | - | 50.0 | 0.0 | 66.7 | - | 56.4 | 50.0 |
| Cydney Johnson | - | 2 | 5.0 | 2.5 | 0.5 | 0.0 | 0.5 | 0.0 | 0.0 | 2.0 | 1.5 | 6 | 0.9 | 2.5 | 25.0 | 50.0 | 100.0 | 0.15 | 51.2 | 37.5 |
| McKenzie Maier | - | 2 | 11.5 | 2.5 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.5 | - | - | - | 100.0 | 100.0 | 0 | -0.58 | 125.0 | 125.0 |
| Shakira Baskerville | - | 2 | 5.0 | 2.0 | 2.0 | 0.0 | 0.5 | 0.0 | 0.5 | 2.5 | 1.5 | - | - | - | 20.0 | 0 | 66.7 | - | 31.6 | 20.0 |
| Peyton Gerdes | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 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