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La Salle

Season: 2026 2025 2024 2016 2014 2013
Also known as: La Salle
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 → 1028 (#263) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1082 (#181) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 999 (#465) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +20.5 (#122) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#31) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +41.8 More → 0.992 (#35) AdjNet +41.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +41.8 More → 0.994 (#34) AdjNet +41.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 83.8 | AdjD 53.8 More → 0.939 (#38) AdjO 83.8 | AdjD 53.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.6 | AdjD 69.2 More → 0.597 (#221) AdjO 73.6 | AdjD 69.2
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 → 0.835 (#66) 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 → 0.800 (#82) 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 → 1144 (#114) RD 350 | GP 1

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-12-21 vs Rosemont W 107 - 41

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%
Ryan Zan - 1 17.0 19.0 7.0 2.0 3.0 0.0 1.0 10.0 20.0 - - - 90.0 0 100.0 - 91.0 90.0
Rokas Jocius - 1 15.0 15.0 6.0 0.0 2.0 3.0 0.0 9.0 17.0 - - - 77.8 0.0 50.0 - 75.9 77.8
Daeshon Shepherd - 1 19.0 12.0 1.0 2.0 0.0 2.0 0.0 5.0 12.0 - - - 100.0 0 100.0 - 102.0 100.0
Jhamir Brickus - 1 17.0 10.0 2.0 4.0 2.0 0.0 0.0 6.0 12.0 - - - 66.7 50.0 0 - 83.3 83.3
Andres Marrero - 1 14.0 10.0 1.0 3.0 1.0 0.0 0.0 8.0 7.0 - - - 37.5 37.5 50.0 - 56.3 56.2
Khalil Brantley - 1 23.0 8.0 2.0 12.0 2.0 1.0 2.0 4.0 19.0 - - - 50.0 50.0 75.0 - 69.4 62.5
Tommy Gardler - 1 15.0 6.0 3.0 3.0 1.0 1.0 0.0 4.0 10.0 - - - 50.0 50.0 0 - 75.0 75.0
Milos Kovacevic - 1 8.0 6.0 2.0 1.0 0.0 0.0 0.0 2.0 7.0 - - - 100.0 0 66.7 - 90.4 100.0
Anwar Gill - 1 24.0 5.0 5.0 4.0 3.0 0.0 1.0 2.0 14.0 - - - 100.0 100.0 0 - 125.0 125.0
Tunde Vahlberg Fasasi - 1 16.0 5.0 5.0 2.0 0.0 0.0 1.0 7.0 4.0 - - - 28.6 33.3 0 - 35.7 35.7
Jay Joseph - 1 5.0 4.0 1.0 0.0 0.0 0.0 0.0 5.0 0.0 - - - 40.0 0 0 - 40.0 40.0
Lucas Mercandino - 1 14.0 4.0 3.0 2.0 0.0 0.0 0.0 6.0 3.0 - - - 33.3 0.0 0 - 33.3 33.3
Efe Tahmaz - 1 11.0 3.0 2.0 0.0 0.0 0.0 0.0 4.0 1.0 - - - 25.0 33.3 0 - 37.5 37.5
Charles Ireland - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Jorge Sanchez-Ramos - 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

Not enough players with both Numbers/Game and RAPM to plot.

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