JWU Charlotte
Season:
2026
Also known as: JWU Charlotte
Program History
Model Outputs
2025-2026
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 → | 1067 (#110) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1098 (#149) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1024 (#275) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -5.1 (#245) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +14.9 (#161) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.284 (#544) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 1.000 (#26) | NetEff +72.1 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.922 (#145) | NetEff +14.9 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.611 (#320) | NetEff +3.3 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.541 (#346) | NetEff +1.1 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.347 (#403) | NetEff -3.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.250 (#470) | AdjNet -9.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.234 (#472) | AdjNet -10.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.318 (#495) | AdjO 62.1 | AdjD 70.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.709 (#115) | AdjO 70.9 | AdjD 61.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.684 (#229) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.688 (#227) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 992 (#319) | RD 189 | GP 3 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-24 | vs | Chris. Newport | L | 0 - 0 |
| 2026-01-27 | vs | Voorhees | L | 64 - 68 |
| 2026-01-30 | @ | Apprentice | W | 66 - 60 |
| 2026-02-07 | vs | Regent | W | 102 - 45 |
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Laylah Toscano | - | 3 | 34.0 | 17.7 | 8.3 | 2.3 | 2.3 | 0.3 | 2.7 | 16.0 | 12.3 | - | - | - | 41.7 | 16.7 | 78.6 | - | 48.9 | 43.8 |
| Korletta Daniels | - | 3 | 32.3 | 14.7 | 6.0 | 3.0 | 4.0 | 0.7 | 2.3 | 13.0 | 13.0 | - | - | - | 48.7 | 42.9 | 75.0 | - | 54.0 | 52.6 |
| Kyrah Davis | - | 3 | 20.0 | 10.3 | 2.7 | 1.3 | 0.7 | 0.0 | 1.7 | 10.7 | 2.7 | 19 | 0.9 | 4.8 | 40.6 | 21.4 | 100.0 | 1.49 | 47.1 | 45.3 |
| Sydney Wells | - | 3 | 17.3 | 8.7 | 1.7 | 1.3 | 0.7 | 0.0 | 0.7 | 8.3 | 3.3 | - | - | - | 36.0 | 38.9 | 50.0 | - | 50.2 | 50.0 |
| Gabby Bryant | - | 2 | 22.5 | 8.0 | 4.5 | 3.5 | 1.5 | 0.0 | 1.0 | 9.0 | 7.5 | - | - | - | 27.8 | 37.5 | 75.0 | - | 40.5 | 36.1 |
| Maliah Preston | - | 3 | 31.7 | 7.0 | 2.3 | 5.7 | 6.3 | 0.0 | 3.0 | 10.0 | 8.3 | - | - | - | 23.3 | 8.3 | 75.0 | - | 31.3 | 25.0 |
| Laken Powe | - | 3 | 19.3 | 4.7 | 3.3 | 0.0 | 0.3 | 0.0 | 1.0 | 3.7 | 3.7 | - | - | - | 45.5 | 0 | 57.1 | - | 49.7 | 45.5 |
| Erica Rawlings | - | 3 | 18.7 | 4.0 | 4.3 | 0.0 | 2.7 | 0.0 | 0.3 | 5.7 | 5.0 | - | - | - | 35.3 | 0 | 0.0 | - | 33.6 | 35.3 |
| Gabby Tapley | - | 3 | 8.3 | 3.0 | 1.7 | 0.3 | 0.3 | 0.0 | 1.0 | 2.7 | 1.7 | - | - | - | 12.5 | 0 | 87.5 | - | 39.1 | 12.5 |
| Jasmine Scott | - | 2 | 4.5 | 3.0 | 1.0 | 0.0 | 0.5 | 0.0 | 0.0 | 3.0 | 1.5 | - | - | - | 50.0 | 0 | 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