🐻⬇️🏀

Jacksonville St.

Season: 2026 2025
Also known as: Jacksonville St.
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 → 1077 (#191) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1016 (#318) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +46.5 (#34) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#50) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +81.3 More → 1.000 (#23) NetEff +81.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +59.1 More → 0.999 (#46) AdjNet +59.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +57.8 More → 0.999 (#46) AdjNet +57.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 86.7 | AdjD 44.1 More → 0.980 (#32) AdjO 86.7 | AdjD 44.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.1 | AdjD 56.4 More → 0.708 (#118) AdjO 66.1 | AdjD 56.4
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 → 0.961 (#22) 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 → 0.939 (#27) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1088 (#187) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs LaGrange W 92 - 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%
Maria Sanchez Ponce - 1 22.8 16.0 7.0 2.0 1.0 0.0 2.0 8.0 16.0 - - - 75.0 80.0 0 - 100.0 100.0
Masa Buzic - 1 20.0 15.0 5.0 1.0 1.0 0.0 0.0 6.0 16.0 - - - 66.7 66.7 100.0 - 102.5 100.0
Mina Djurdjevic - 1 18.6 11.0 2.0 0.0 3.0 0.0 1.0 6.0 9.0 - - - 66.7 33.3 100.0 - 79.9 75.0
Eden Sample - 1 17.3 10.0 2.0 0.0 4.0 0.0 1.0 7.0 8.0 - - - 57.1 25.0 50.0 - 63.5 64.3
Mya Barnes - 1 20.5 8.0 7.0 2.0 0.0 0.0 0.0 6.0 11.0 - - - 50.0 33.3 100.0 - 62.1 58.3
Kyera Thornsbury - 1 22.2 7.0 2.0 8.0 2.0 0.0 0.0 8.0 11.0 - - - 25.0 25.0 66.7 - 37.6 31.2
Makala Hobdy - 1 23.3 7.0 3.0 1.0 1.0 1.0 0.0 7.0 6.0 - - - 42.9 0.0 50.0 - 44.4 42.9
Adriana Jones - 1 15.9 6.0 1.0 2.0 0.0 0.0 1.0 6.0 2.0 38 2.2 55.2 50.0 0.0 0 0.46 50.0 50.0
Vitoria Carvalho - 1 14.7 5.0 7.0 0.0 1.0 1.0 2.0 4.0 8.0 - - - 50.0 0 50.0 - 51.2 50.0
Abril Ricart Mensah - 1 17.1 5.0 0.0 0.0 0.0 0.0 2.0 6.0 -3.0 - - - 33.3 0.0 50.0 - 36.3 33.3
Brooklyn McDaniel - 1 7.7 2.0 0.0 2.0 1.0 0.0 0.0 1.0 4.0 - - - 100.0 0 0 - 100.0 100.0

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