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Lawrence Tech

Season: 2026 2024 2019 2016
Also known as: Lawrence Tech
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 → 941 (#364) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 990 (#338) HCA +95 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -13.2 (#488) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.034 (#571) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -6.0 More → 0.334 (#489) AdjNet -6.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -5.9 More → 0.333 (#492) AdjNet -5.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.2 | AdjD 80.7 More → 0.398 (#492) AdjO 76.2 | AdjD 80.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.5 | AdjD 75.6 More → 0.430 (#426) AdjO 72.5 | AdjD 75.6
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 → 0.308 (#463) 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 → 0.325 (#453) 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 → 909 (#342) RD 350 | GP 1

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-11-26 @ Wayne St. (MI) L 77 - 85

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%
Carmelo Harris - 1 34.0 33.0 5.0 0.0 2.0 0.0 2.0 20.0 18.0 -1 -0.2 -1.3 55.0 50.0 100.0 -0.0 72.9 67.5
Colin Golson, Jr. - 1 34.0 18.0 8.0 3.0 1.0 1.0 4.0 11.0 16.0 26 4.3 455.5 72.7 33.3 100.0 -0.01 78.7 77.3
Ray Williams, Jr. - 1 36.0 17.0 11.0 5.0 0.0 1.0 0.0 13.0 21.0 - - - 53.8 42.9 0 -0.93 65.4 65.4
Tamario Adley - 1 31.0 7.0 5.0 3.0 0.0 2.0 3.0 4.0 10.0 2 1.0 2.8 50.0 100.0 50.0 -0.08 71.7 75.0
Kaimen Lennox - 1 20.0 2.0 2.0 1.0 0.0 0.0 2.0 2.0 1.0 2 0.4 5.2 0.0 0 100.0 -0.37 34.7 0.0
Matt Coffey - 1 19.0 0.0 7.0 3.0 0.0 0.0 1.0 2.0 7.0 - - - 0.0 0 0 - 0.0 0.0
Bryce Esman - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Justice Gordon - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -4 -2.0 -102.1 0 0 0 -1.57 0 0
Eli Lohr - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Chris Mutebi - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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