🐻⬇️🏀

Southwest Baptist

Also known as: Southwest Baptist
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 → 762 (#510) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 805 (#497) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 853 (#649) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → -9.6 (#302) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -2.8 (#409) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.417 (#391) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -4.9 More → 0.337 (#324) NetEff -4.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -2.0 More → 0.442 (#429) AdjNet -2.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -1.1 More → 0.467 (#422) AdjNet -1.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.0 | AdjD 68.6 More → 0.465 (#439) AdjO 67.0 | AdjD 68.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.8 | AdjD 64.2 More → 0.446 (#477) AdjO 61.8 | AdjD 64.2
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 → 0.394 (#452) 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 → 0.383 (#467) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 98 | GP 23 More → 792 (#464) RD 98 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs Mansfield - Incomplete score
2025-11-07 vs Molloy - Incomplete score
2025-11-14 vs Ozark Christian - Incomplete score
2025-11-18 vs Emporia St. - Incomplete score
2025-11-21 @ Washburn - Incomplete score
2025-11-22 vs Northeastern St. - Incomplete score
2025-11-25 vs Hannibal-La Grange - Incomplete score
2025-11-29 @ Lincoln (MO) - Incomplete score
2025-12-01 vs Drury - Incomplete score
2025-12-04 @ William Jewell - Incomplete score
2025-12-06 @ Truman St. - Incomplete score
2025-12-17 vs Georgian Court - Incomplete score
2026-01-10 vs Mo.-St. Louis - Incomplete score
2026-01-15 @ McKendree - Incomplete score
2026-01-17 @ Ill. Springfield - Incomplete score
2026-01-22 vs UIndy - Incomplete score
2026-01-24 vs Lewis - Incomplete score
2026-01-29 @ Upper Iowa - Incomplete score
2026-01-31 @ Quincy - Incomplete score
2026-02-05 vs Truman St. - Incomplete score
2026-02-07 vs William Jewell - Incomplete score

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%
Nahia Esanola - 1 15.9 17.0 12.0 0.0 0.0 0.0 1.0 9.0 19.0 - - - 77.8 0 75.0 - 79.0 77.8
Kamiyah Hurd - 18 29.4 11.9 7.3 1.6 1.2 0.5 2.3 8.9 11.3 28 1.3 5.1 46.9 40.6 85.2 0.76 57.5 50.9
Natalia Crooke - 18 28.8 10.9 2.2 2.7 2.0 0.1 2.4 10.8 4.5 -6 -0.3 -1.2 34.4 33.1 70.8 0.19 47.7 45.9
Ida Lusadisu N'Gonda - 18 22.1 9.4 3.4 0.5 1.1 1.2 2.4 8.7 4.6 -48 -2.4 -14.8 43.3 16.7 72.7 -3.52 48.2 43.9
Eviyon Richardson - 8 19.2 7.5 3.2 0.4 1.1 0.0 1.4 5.8 5.1 -48 -4.4 -14.5 37.0 30.8 88.0 -2.89 52.6 41.3
Tinu Fakunle - 16 23.0 7.4 4.2 1.1 0.9 0.9 2.9 7.2 4.3 39 2.1 15.5 35.3 34.1 50.0 2.28 43.6 41.4
Claudia Diez Sancho - 18 15.3 5.7 4.2 0.2 0.3 0.7 0.9 4.7 5.4 47 2.2 18.8 54.1 0 50.0 0.34 54.4 54.1
Carolina Crawford - 14 23.3 4.5 3.1 2.7 1.8 0.0 2.8 4.1 5.3 25 1.5 6.0 40.4 33.3 48.0 1.37 46.3 44.7
Gwen O'Connell - 9 11.4 3.9 0.8 0.3 0.8 0.0 0.8 4.4 0.6 36 4.0 267.5 30.0 33.3 50.0 1.81 42.8 42.5
Reagan Wells - 13 11.4 3.6 1.2 0.6 0.2 0.0 0.7 3.3 1.7 -38 -2.7 -19.4 34.9 37.1 100.0 2.91 52.5 50.0
Nahia Esnaola - 17 17.2 3.4 5.0 0.5 0.6 0.7 1.1 3.5 5.5 -39 -1.9 -13.8 43.3 0.0 17.2 -1.21 39.2 43.3
Clara Enrich Tasias - 13 15.0 1.8 0.8 1.3 0.9 0.0 2.2 2.2 0.5 58 4.1 70.6 35.7 25.0 28.6 0.52 38.6 39.3
Alice Woodward - 8 9.1 1.2 1.2 0.4 0.9 0.1 1.6 1.9 0.4 -12 -1.2 -181.1 20.0 25.0 50.0 -3.93 28.3 23.3
Zaakyaa Young - 17 11.1 0.5 0.3 0.6 0.2 0.0 1.2 1.6 -1.2 -71 -3.5 -42.2 7.1 0 50.0 -3.37 12.7 7.1
Carlota Aliaga Alonso - 5 3.2 0.0 0.4 0.0 0.0 0.0 0.2 0.0 0.2 -25 -3.6 -212.0 0 0 0 4.33 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