🐻⬇️🏀

Webster Gorloks

Season: 2026
Also known as: Webster Gorloks
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 → 1152 (#88) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1142 (#94) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1179 (#27) HCA +56 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1013 (#346) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → -1.7 (#146) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -8.4 (#501) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -13.3 (#586) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.535 (#164) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -10.8 More → 0.224 (#233) AdjNet -10.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -11.2 More → 0.212 (#237) AdjNet -11.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.4 | AdjD 76.0 More → 0.314 (#241) AdjO 67.4 | AdjD 76.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.7 | AdjD 72.7 More → 0.545 (#309) AdjO 74.7 | AdjD 72.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.6 | AdjD 75.5 More → 0.457 (#496) AdjO 73.6 | AdjD 75.5
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 → 0.493 (#404) Blend of Elo, BT, Margin, PythLog, PtsOD
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 → 0.404 (#481) 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 → 0.511 (#397) 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 → 0.378 (#523) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 108 | GP 23 More → 1242 (#37) RD 108 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2026-02-11 @ Eureka W 75 - 62
2026-02-14 vs Greenville W 122 - 93
2026-02-19 @ Lyon W 77 - 63
2026-02-21 @ MUW L 60 - 80
2026-02-26 vs Spalding W 79 - 43
2026-02-28 vs MUW L 76 - 77

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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Ethan Chartrand - 4 26.6 21.8 3.8 0.5 1.8 0.0 1.0 16.0 10.8 - - - - 54.7 35.3 100.0 - 63.2 59.4
Charles Nelson - 4 30.6 18.0 3.2 4.5 0.8 0.0 1.5 15.5 9.5 - - - - 43.5 36.8 91.7 - 53.5 49.2
Jemard Sykes II - 4 29.6 9.8 6.2 3.8 1.8 0.5 1.5 9.5 11.0 - - - - 39.5 25.0 100.0 - 48.5 44.7
Sebastian Reed - 4 15.4 7.2 3.0 1.0 0.5 0.0 0.5 5.2 6.0 - - - - 52.4 0.0 63.6 - 56.1 52.4
Justin Ugo - 4 16.0 6.5 3.2 0.8 0.2 0.0 1.0 6.2 3.5 - - - - 44.0 0 100.0 - 48.6 44.0
Adam Painter - 4 19.9 6.2 4.8 2.2 1.5 0.5 2.2 5.0 8.0 - - - - 60.0 0 100.0 - 61.2 60.0
Dallas Harding-Fair - 4 12.1 4.0 4.2 1.0 0.5 0.5 0.8 4.2 5.2 - - - - 41.2 0 100.0 - 44.7 41.2
Nbaye Thiam - 4 4.9 3.5 1.8 0.0 0.2 0.0 0.2 3.0 2.2 - - - - 58.3 0 0.0 - 54.3 58.3
Kendall Horton - 4 17.6 1.8 2.2 2.5 2.0 0.2 2.0 3.0 3.8 - - - - 16.7 25.0 50.0 - 25.4 20.8
William Burroughs V - 4 5.3 1.5 0.5 1.2 0.2 0.0 0.2 1.0 2.2 - - - - 75.0 0 0 - 75.0 75.0
Nkosi Constant - 4 7.5 1.5 1.8 0.2 0.2 0.8 1.0 1.0 2.5 - - - - 75.0 0 0 - 75.0 75.0
Andrew Hall - 4 1.1 1.2 0.5 0.0 0.0 0.0 0.2 0.8 0.8 - - - - 66.7 50.0 0 - 83.3 83.3
Jalen Davis - 4 3.8 0.8 1.0 0.0 0.2 0.0 0.2 1.5 0.2 - - - - 16.7 0.0 50.0 - 21.8 16.7
Colin DeBold - 4 2.4 0.5 0.2 0.0 0.0 0.0 0.0 0.8 0.0 - - - - 33.3 0 0 - 33.3 33.3
Aiden Crossin - 2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Jacob Schafer - 4 3.0 0.0 0.5 0.2 0.2 0.0 0.0 0.0 1.0 - - - - 0 0 0 - 0 0
Tanguy Baptiste Francis Attie - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Will Harmon - 3 0.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Eli Maritz - 2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Amarien Mohair - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Linden James - 3 0.1 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