🐻⬇️🏀

Lakeland

Season: 2026 2024
Also known as: Lakeland
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
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 985 (#261) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 994 (#315) HCA +95 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -11.2 (#472) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.010 (#646) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -10.7 More → 0.226 (#530) AdjNet -10.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -10.5 More → 0.225 (#531) AdjNet -10.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.0 | AdjD 85.4 More → 0.298 (#562) AdjO 76.0 | AdjD 85.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.1 | AdjD 77.9 More → 0.392 (#463) AdjO 73.1 | AdjD 77.9
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 → 0.313 (#456) 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 → 0.326 (#450) 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 → 942 (#288) RD 350 | GP 1

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-11-15 @ Northern Mich. L 71 - 98

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%
Sam Schultz - 1 20.0 18.0 9.0 1.0 0.0 1.0 1.0 10.0 18.0 -32 -4.0 -9.3 70.0 0 100.0 0.25 76.5 70.0
CJ Campbell - 1 19.0 14.0 1.0 1.0 1.0 0.0 0.0 7.0 10.0 -7 -3.5 -50.9 71.4 75.0 50.0 -0.93 88.8 92.9
Carson Smith - 1 29.0 13.0 4.0 4.0 2.0 0.0 1.0 9.0 13.0 -53 -7.6 -11.9 44.4 20.0 57.1 -0.11 53.8 50.0
Najashi Tolefree - 1 18.0 8.0 6.0 3.0 0.0 1.0 1.0 2.0 15.0 -23 -11.5 -167.3 100.0 100.0 75.0 -0.93 106.4 125.0
Jackson Dudek - 1 24.0 6.0 4.0 0.0 1.0 1.0 1.0 4.0 7.0 29 1.6 54.9 50.0 0 100.0 -0.2 61.5 50.0
Sam Privet - 1 16.0 6.0 2.0 1.0 1.0 0.0 1.0 4.0 5.0 -33 -4.1 -13.9 75.0 0 0 0.1 75.0 75.0
Brandon Trilli - 1 18.0 6.0 4.0 1.0 0.0 0.0 0.0 4.0 7.0 -6 -0.8 -4.6 75.0 0 0 0.1 75.0 75.0
Casey Verhagen - 1 18.0 6.0 4.0 1.0 0.0 0.0 0.0 4.0 7.0 - - - 75.0 0 0 - 75.0 75.0
Max Weisbrod - 1 26.0 6.0 4.0 3.0 2.0 0.0 2.0 11.0 2.0 -58 -11.6 -17.5 27.3 0.0 0 0.44 27.3 27.3
Aidan Bellisle - 1 8.0 3.0 2.0 0.0 0.0 0.0 0.0 2.0 3.0 -23 -11.5 -167.3 50.0 0.0 50.0 -0.93 52.1 50.0

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