🐻⬇️🏀

Longwood

Season: 2026 2025 2016
Also known as: Longwood
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1052 (#241) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1005 (#403) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +59.5 (#8) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#8) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +91.5 More → 1.000 (#6) NetEff +91.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +84.7 More → 1.000 (#3) AdjNet +84.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +84.6 More → 1.000 (#4) AdjNet +84.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 102.5 | AdjD 43.4 More → 0.995 (#2) AdjO 102.5 | AdjD 43.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.9 | AdjD 59.1 More → 0.808 (#55) AdjO 74.9 | AdjD 59.1
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.981 (#7) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.964 (#11) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-05 vs Randolph W 121 - 35

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%
Olivia Bowes - 1 20.7 21.0 3.0 3.0 2.0 1.0 1.0 10.0 19.0 - - - 70.0 71.4 100.0 - 96.5 95.0
Frances Ulysse - 1 19.9 19.0 8.0 1.0 3.0 0.0 0.0 16.0 15.0 - - - 56.2 0.0 100.0 - 57.8 56.2
Lili Booker - 1 19.2 19.0 0.0 2.0 4.0 1.0 3.0 14.0 9.0 - - - 50.0 50.0 100.0 - 62.0 57.1
Jaci Bolden - 1 17.7 16.0 2.0 2.0 1.0 0.0 0.0 6.0 15.0 - - - 83.3 100.0 80.0 - 97.6 100.0
Jesstynie Scott - 1 17.1 13.0 4.0 2.0 7.0 1.0 2.0 9.0 16.0 - - - 55.6 50.0 50.0 - 65.8 66.7
JaMya Robinson - 1 16.8 8.0 7.0 3.0 3.0 0.0 2.0 9.0 10.0 - - - 44.4 0 0 - 44.4 44.4
Kayla Washington - 1 17.6 7.0 5.0 2.0 1.0 0.0 0.0 5.0 10.0 - - - 60.0 33.3 0 - 70.0 70.0
Alary Bell - 1 10.9 6.0 7.0 1.0 1.0 0.0 0.0 4.0 11.0 15 0.8 4.9 50.0 0 100.0 0.04 61.5 50.0
Jasmine Peaks - 1 12.7 5.0 0.0 2.0 1.0 0.0 2.0 3.0 3.0 - - - 66.7 50.0 0 - 83.3 83.3
Amor Harris - 1 15.9 4.0 0.0 1.0 1.0 0.0 2.0 6.0 -2.0 34 2.3 44.8 33.3 0.0 0 2.47 33.3 33.3
Malea Brown - 1 15.8 2.0 3.0 6.0 4.0 0.0 1.0 1.0 13.0 -58 -2.1 -26.6 100.0 0 0 0.75 100.0 100.0
Nalani Simmons - 1 15.7 1.0 8.0 3.0 2.0 0.0 0.0 4.0 10.0 - - - 0.0 0.0 50.0 - 10.2 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