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Fisk

Season: 2026 2024 2023 2020 2019 2017 2016 2015
Also known as: Fisk
Program History

Model Outputs

2025-2026 latest available
Catalog

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 → 981 (#313) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 952 (#348) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 993 (#436) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -20.6 (#604) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.028 (#594) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -57.0 More → 0.000 (#500) NetEff -57.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -16.6 More → 0.128 (#574) AdjNet -16.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -16.7 More → 0.117 (#580) AdjNet -16.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 57.3 | AdjD 66.4 More → 0.304 (#552) AdjO 57.3 | AdjD 66.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.9 | AdjD 64.5 More → 0.421 (#505) AdjO 60.9 | AdjD 64.5
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 → 0.168 (#617) 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 → 0.200 (#605) 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 → 931 (#331) RD 350 | GP 1

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-11-18 vs Lane W 63 - 56

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%
MAYA BUCKHANON - 1 34.0 30.0 15.0 0.0 1.0 1.0 4.0 16.0 27.0 - - - 75.0 0 85.7 - 78.6 75.0
ZIP DAVIS - 1 39.0 13.0 6.0 5.0 4.0 0.0 5.0 12.0 11.0 - - - 16.7 28.6 63.6 0.15 38.6 25.0
JAYLA BIBBS - 1 30.0 8.0 12.0 2.0 5.0 1.0 4.0 7.0 17.0 - - - 42.9 0.0 50.0 - 45.7 42.9
A'NIYA YOUNG - 1 23.0 6.0 5.0 4.0 1.0 0.0 1.0 4.0 11.0 12 1.1 1.2 50.0 0 100.0 0.2 61.5 50.0
MAURECIA MATHIS - 1 16.0 4.0 3.0 1.0 2.0 0.0 7.0 5.0 -2.0 - - - 40.0 0.0 0 -0.1 40.0 40.0
LAILIA ELIOTTI - 1 21.0 2.0 2.0 3.0 1.0 0.0 0.0 6.0 2.0 - - - 16.7 0.0 0 - 16.7 16.7
DEE SCOTT - 1 8.0 0.0 4.0 0.0 0.0 0.0 1.0 2.0 1.0 - - - 0.0 0 0 - 0.0 0.0
JANIESSE ARMSTRONG - 1 4.0 0.0 0.0 0.0 0.0 0.0 3.0 1.0 -4.0 - - - 0.0 0 0 0.01 0.0 0.0
JORDAN BAILEY - 1 6.0 0.0 0.0 1.0 1.0 0.0 3.0 1.0 -2.0 - - - 0.0 0 0 - 0.0 0.0
LIZ GIBBS - 1 19.0 0.0 0.0 2.0 2.0 0.0 3.0 5.0 -4.0 - - - 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