🐻⬇️🏀

Lakeland

Season: 2026 2024
Also known as: Lakeland
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 → 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 → 943 (#286) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-29 @ Michigan Tech L 56 - 92

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%
Peyton Mrotek - 1 26.3 13.0 2.0 1.0 3.0 0.0 0.0 11.0 8.0 - - - 45.5 40.0 50.0 - 54.7 54.5
Jaxson Dillon - 1 25.4 12.0 4.0 1.0 3.0 0.0 4.0 8.0 8.0 - - - 50.0 42.9 100.0 - 71.1 68.8
Parker Braun - 1 25.1 6.0 5.0 1.0 2.0 0.0 0.0 9.0 5.0 - - - 33.3 0.0 0 - 33.3 33.3
Delon Zollicoffer-White - 1 6.4 6.0 0.0 0.0 1.0 0.0 1.0 5.0 1.0 - - - 60.0 0 0 - 60.0 60.0
Chris Burton - 1 5.4 5.0 0.0 0.0 0.0 0.0 0.0 1.0 4.0 -42 -2.6 -26.5 100.0 100.0 100.0 -2.58 133.0 150.0
Gage Cornell - 1 7.2 3.0 1.0 0.0 0.0 0.0 1.0 3.0 0.0 - - - 33.3 0.0 50.0 - 38.7 33.3
RJ Hines Jr. - 1 14.1 2.0 0.0 0.0 0.0 0.0 2.0 7.0 -7.0 1 0.3 20.7 14.3 0.0 0 0.74 14.3 14.3
Asanjai Hunter - 1 13.1 2.0 1.0 0.0 0.0 0.0 1.0 5.0 -3.0 - - - 20.0 0.0 0 - 20.0 20.0
Max Justic - 1 27.5 2.0 2.0 3.0 2.0 0.0 1.0 7.0 1.0 - - - 14.3 0.0 0 - 14.3 14.3
Keenan Klitzke - 1 8.5 2.0 3.0 0.0 0.0 0.0 0.0 1.0 4.0 - - - 100.0 0 0 - 100.0 100.0
Emmitt Konieczny - 1 19.6 2.0 1.0 1.0 0.0 0.0 0.0 3.0 1.0 - - - 33.3 0.0 0 - 33.3 33.3
Camden Schurk - 1 6.5 1.0 0.0 0.0 0.0 0.0 1.0 1.0 -1.0 - - - 0.0 0 50.0 - 26.6 0.0
Wyatt Brooks - 1 1.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Jamar Lampley Jr. - 1 7.3 0.0 0.0 0.0 1.0 0.0 1.0 1.0 -1.0 125 6.9 53.9 0.0 0.0 0 2.11 0.0 0.0
Aaron Wolff - 1 6.5 0.0 1.0 0.0 0.0 0.0 1.0 1.0 -1.0 - - - 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