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Langara (CAN)

Season: 2026 2025 2024 2023 2022 2020 2019 2017
Also known as: Langara (CAN)
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 → 980 (#236) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 884 (#461) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 963 (#458) HCA +95 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -31.1 (#577) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.003 (#705) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -34.2 More → 0.019 (#721) AdjNet -34.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -33.7 More → 0.018 (#717) AdjNet -33.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.1 | AdjD 92.5 More → 0.070 (#729) AdjO 64.1 | AdjD 92.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.6 | AdjD 80.8 More → 0.282 (#551) AdjO 70.6 | AdjD 80.8
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 → 0.117 (#575) 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 → 0.143 (#572) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 305 | GP 2 More → 779 (#462) RD 305 | GP 2

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Simon Fraser L 66 - 105

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%
Cameron Vaughn - 1 21.4 18.0 5.0 0.0 1.0 0.0 8.0 15.0 1.0 - - - 46.7 33.3 75.0 - 53.7 50.0
Patrick Robinson - 1 16.9 12.0 7.0 0.0 0.0 0.0 1.0 7.0 11.0 19 1.1 31.1 71.4 0 28.6 -0.59 59.5 71.4
Nixon Owusu - 1 20.3 11.0 3.0 1.0 0.0 0.0 3.0 9.0 3.0 - - - 44.4 33.3 50.0 - 51.1 50.0
Owen Jones - 1 18.1 8.0 1.0 0.0 0.0 1.0 0.0 11.0 -1.0 - - - 27.3 20.0 50.0 - 33.7 31.8
Jacob Francia - 1 15.6 5.0 2.0 0.0 0.0 0.0 1.0 4.0 2.0 - - - 50.0 100.0 0 - 62.5 62.5
Kadyn Brown - 1 18.3 3.0 2.0 1.0 1.0 0.0 0.0 4.0 3.0 1 0.3 4.6 25.0 0 25.0 0.34 26.0 25.0
Keito Kusaki - 1 18.4 2.0 4.0 2.0 0.0 0.0 0.0 5.0 3.0 - - - 20.0 0.0 0 - 20.0 20.0
Luka Sabotic - 1 8.0 2.0 1.0 0.0 0.0 0.0 0.0 0.0 3.0 - - - 0 0 100.0 - 113.6 0
Ebanehita Obetoh - 1 15.8 2.0 1.0 0.0 1.0 0.0 2.0 3.0 -1.0 - - - 33.3 0 0 - 33.3 33.3
Rohan Sall - 1 8.7 2.0 4.0 0.0 1.0 0.0 2.0 2.0 3.0 - - - 50.0 0.0 0 - 50.0 50.0
Christian Archer - 1 23.4 1.0 2.0 1.0 2.0 0.0 0.0 3.0 3.0 - - - 0.0 0.0 50.0 - 12.9 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