🐻⬇️🏀

Dakota St.

Season: 2026 2025 2024
Also known as: Dakota St.
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 997 (#481) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -4.5 (#427) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.650 (#365) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -10.6 More → 0.228 (#506) AdjNet -10.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -10.8 More → 0.220 (#510) AdjNet -10.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.3 | AdjD 73.7 More → 0.318 (#518) AdjO 65.3 | AdjD 73.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.9 | AdjD 73.7 More → 0.458 (#494) AdjO 71.9 | AdjD 73.7
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 → 0.474 (#423) 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 → 0.487 (#417) 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 → 1075 (#252) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-20 vs Kean W 66 - 64

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%
Ponce James - 1 33.5 17.0 5.0 3.0 3.0 0.0 3.0 15.0 10.0 - - - 46.7 50.0 25.0 - 50.7 53.3
Rahmir Moore - 1 22.1 8.0 2.0 1.0 0.0 0.0 0.0 7.0 4.0 - - - 42.9 0.0 100.0 0.49 50.8 42.9
Ademar Santos - 1 19.9 8.0 3.0 2.0 0.0 0.0 0.0 8.0 5.0 - - - 50.0 0.0 0 - 50.0 50.0
Miles Webb - 1 33.9 8.0 9.0 1.0 1.0 0.0 1.0 9.0 9.0 - - - 44.4 0.0 0 - 44.4 44.4
Zion Bethea - 1 21.1 7.0 4.0 1.0 0.0 1.0 0.0 11.0 2.0 - - - 27.3 25.0 0 - 31.8 31.8
Corey Perkins - 1 22.5 6.0 2.0 4.0 0.0 0.0 1.0 6.0 5.0 -8 -0.4 -7.1 33.3 100.0 50.0 1.48 43.6 41.7
John Clemmons - 1 9.0 5.0 1.0 0.0 0.0 0.0 1.0 3.0 2.0 - - - 66.7 50.0 0.0 - 72.7 83.3
Muazibini Adamu - 1 13.9 4.0 3.0 0.0 0.0 1.0 1.0 3.0 4.0 - - - 66.7 0 0 - 66.7 66.7
Jalen StClair - 1 17.9 3.0 1.0 5.0 3.0 0.0 2.0 2.0 8.0 - - - 0.0 0 75.0 - 39.9 0.0
Dean Shepherd - 1 6.1 0.0 4.0 0.0 1.0 0.0 1.0 2.0 2.0 -43 -2.4 -118.5 0.0 0 0 -0.68 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