🐻⬇️🏀

Lakeland

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
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 896 (#536) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 779 (#606) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 909 (#662) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -16.9 (#339) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -20.8 (#695) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.202 (#666) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -18.0 More → 0.112 (#629) AdjNet -18.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -18.1 More → 0.109 (#627) AdjNet -18.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.8 | AdjD 89.1 More → 0.213 (#643) AdjO 74.8 | AdjD 89.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.4 | AdjD 85.4 More → 0.235 (#722) AdjO 72.4 | AdjD 85.4
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 → 0.159 (#704) 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 → 0.168 (#705) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 95 | GP 23 More → 803 (#558) RD 95 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Lawrence L 79 - 93
2025-11-14 vs Martin Luther W 88 - 83
2025-11-15 vs Northwestern-St. Paul L 82 - 90
2025-11-18 @ Ripon W 77 - 73
2025-11-24 @ St. Norbert L 71 - 96
2025-11-29 @ Michigan Tech L 56 - 92
2025-12-03 vs Illinois Tech L 77 - 92
2025-12-06 @ Wis. Lutheran L 74 - 84
2025-12-13 vs Marian (WI) L 64 - 67
2025-12-16 @ Beloit L 67 - 86
2025-12-19 @ Buena Vista L 70 - 94
2025-12-29 @ Wis.-Stevens Point L 70 - 87
2026-01-03 @ Dominican (IL) W 70 - 69
2026-01-07 @ Edgewood W 90 - 69
2026-01-10 vs Benedictine (IL) L 76 - 77
2026-01-14 @ Marian (WI) W 82 - 77
2026-01-17 @ Concordia Chicago L 67 - 70
2026-01-21 vs Wis. Lutheran W 66 - 60
2026-01-24 vs Aurora L 83 - 90
2026-01-28 @ Illinois Tech W 107 - 103
2026-01-31 @ Rockford L 60 - 87
2026-02-04 vs MSOE L 75 - 100
2026-02-07 vs Dominican (IL) W 86 - 83

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%
Asanjai Hunter - 21 32.1 18.6 3.7 3.3 2.0 0.2 2.2 13.3 12.3 -126 -6.3 -22.1 46.6 22.7 82.6 0.15 57.5 49.6
Jaxson Dillon - 19 30.5 15.8 3.8 1.4 1.7 0.2 2.7 13.0 7.2 -103 -5.7 -18.8 40.5 34.2 70.4 -0.65 53.9 50.6
Peyton Mrotek - 23 32.6 15.2 5.6 2.0 0.9 0.8 1.8 11.3 11.3 -62 -2.7 -10.1 45.2 34.6 81.0 0.28 58.7 54.0
Tim Ward - 1 21.8 11.0 9.0 3.0 1.0 0.0 1.0 13.0 10.0 -2 -2.0 -5.3 38.5 0.0 50.0 0.43 39.6 38.5
Max Justic - 23 28.8 8.3 2.4 1.9 1.7 0.1 1.7 6.4 6.3 -159 -7.2 -33.9 45.3 32.9 68.0 -2.31 56.5 53.4
Parker Braun - 23 30.4 7.0 5.9 1.9 1.5 0.4 0.8 7.0 8.9 -144 -6.5 -31.1 35.0 19.6 79.2 1.47 44.2 38.1
Emmitt Konieczny - 20 24.1 5.0 1.9 0.7 0.9 0.1 0.3 4.8 3.4 -51 -2.7 -12.8 33.7 32.9 88.9 0.08 50.0 47.9
Adison Mittelstadt - 18 11.5 4.3 1.7 0.9 0.5 0.2 1.1 4.1 2.5 -40 -2.4 -63.0 42.5 32.4 50.0 -1.51 50.9 50.7
RJ Hines Jr. - 20 7.6 2.8 2.2 0.1 0.3 0.1 0.9 2.6 2.0 -51 -2.8 -62.1 36.5 26.1 60.0 -0.02 46.1 42.3
Delon Zollicoffer-White - 11 7.3 2.5 1.2 0.2 0.4 0.3 0.7 2.4 1.5 -22 -2.4 -379.9 46.2 100.0 75.0 -0.54 50.4 48.1
Chris Burton - 2 3.0 2.5 0.0 0.0 0.0 0.0 0.0 0.5 2.0 - - - 100.0 100.0 100.0 - 133.0 150.0
Gage Cornell - 23 8.9 1.8 1.1 0.1 0.3 0.1 0.7 2.3 0.5 -83 -3.8 -62.9 30.8 26.7 50.0 -2.22 39.1 38.5
Keenan Klitzke - 7 2.4 1.1 0.7 0.0 0.0 0.0 0.1 0.7 1.0 -2 -0.4 -22.6 60.0 0 100.0 -0.93 68.0 60.0
Camden Schurk - 7 2.4 0.9 0.3 0.0 0.1 0.0 0.4 0.7 0.1 -3 -0.6 -85.7 40.0 0 50.0 -1.15 44.4 40.0
Aaron Wolff - 7 3.1 0.9 0.1 0.1 0.1 0.0 0.3 0.4 0.6 -4 -0.8 -36.4 0.0 0.0 100.0 -1.97 53.2 0.0
Wyatt Brooks - 4 1.1 0.8 0.2 0.0 0.0 0.0 0.2 0.2 0.5 - - - 100.0 0 100.0 - 104.2 100.0
Jamar Lampley Jr. - 8 3.7 0.4 0.4 0.1 0.2 0.0 0.4 1.0 -0.2 -6 -1.0 -97.3 0.0 0.0 75.0 -1.41 15.4 0.0
Austin Hohn - 7 1.9 0.0 0.1 0.0 0.1 0.0 0.1 0.3 -0.1 -6 -0.9 -54.5 0.0 0.0 0 -1.97 0.0 0.0
Gabe Nenahlo - 2 0.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 -0.46 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