🐻⬇️🏀

Western N.M.

Also known as: Western N.M.
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 → 631 (#539) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 631 (#538) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 696 (#697) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -21.7 (#289) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -14.4 (#551) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.038 (#577) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -36.3 More → 0.008 (#455) NetEff -36.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -14.7 More → 0.155 (#554) AdjNet -14.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -13.9 More → 0.161 (#548) AdjNet -13.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 59.4 | AdjD 68.2 More → 0.310 (#541) AdjO 59.4 | AdjD 68.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 56.1 | AdjD 74.3 More → 0.160 (#680) AdjO 56.1 | AdjD 74.3
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 → 0.093 (#657) 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 → 0.096 (#664) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 120 | GP 22 More → 515 (#525) RD 120 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-11 @ UTEP L 56 - 81
2025-11-14 vs Fort Lewis L 57 - 83
2025-11-15 @ N.M. Highlands L 40 - 106
2025-11-22 vs N.M. Highlands L 43 - 92
2025-11-25 @ MSU Denver L 74 - 91
2025-11-26 vs UCCS L 52 - 87
2025-11-28 @ CSU Pueblo L 34 - 84
2025-12-04 @ St. Mary's (TX) L 67 - 79
2025-12-06 @ St. Edward's L 49 - 58
2025-12-14 @ New Mexico St. L 44 - 76
2025-12-20 vs Texas-Dallas L 44 - 76
2026-01-02 vs West Tex. A&M L 50 - 84
2026-01-10 @ Texas Woman's L 64 - 79
2026-01-15 vs Cameron L 68 - 75
2026-01-17 vs Okla. Christian L 65 - 75
2026-01-20 vs Sul Ross St. L 60 - 69
2026-01-22 @ Texas-Dallas L 46 - 73
2026-01-29 vs Tex. A&M-Kingsville L 54 - 64
2026-01-31 vs Tex. A&M Int'l L 62 - 80
2026-02-05 @ Angelo St. L 47 - 79
2026-02-07 @ UT Permian Basin L 60 - 71

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%
Jordan Sapien - 20 31.3 13.9 3.3 3.1 1.8 0.0 1.8 11.0 9.3 -254 -12.7 -53.7 42.3 28.2 76.9 -0.41 53.5 47.3
Teeya Gordon - 21 16.3 9.4 5.0 0.2 0.7 0.6 2.8 8.3 4.9 -189 -9.0 -65.1 43.7 0 57.5 -2.96 47.3 43.7
Tess Taylor - 18 27.7 8.4 1.9 0.7 0.5 0.0 2.3 9.1 0.2 -233 -12.3 -80.8 30.1 26.7 89.7 -0.8 43.2 38.7
Natalie Magallnes - 16 25.9 7.9 2.6 0.8 1.1 0.1 3.7 8.4 0.4 -266 -14.8 -199.4 34.1 30.6 52.9 -4.16 44.6 43.7
Yvanna Villarreal - 11 21.3 6.5 3.1 0.9 0.6 0.1 4.3 9.2 -2.2 -207 -15.9 -115.6 26.7 40.9 52.9 -0.65 33.2 31.2
Angelina Khalaf - 8 16.4 6.0 4.4 0.5 0.6 0.4 2.0 5.4 4.5 - - - 34.9 0.0 75.0 - 44.8 34.9
Jacqueline Aguayo - 10 19.0 3.0 1.9 0.8 0.4 0.1 2.0 5.6 -1.4 -141 -11.8 -73.2 21.4 20.0 25.0 -3.47 26.0 25.9
Brelee Nichols - 17 26.3 3.0 3.4 1.1 0.8 0.3 2.5 3.5 2.5 -224 -14.9 -46.2 31.7 19.0 60.0 -1.19 38.3 35.0
Naomi Kimble - 12 21.4 2.8 5.2 0.8 0.2 0.2 0.8 2.9 5.5 -161 -11.5 -125.3 28.6 0 54.2 -1.66 36.2 28.6
Ema Rose - 10 15.3 2.7 3.7 0.5 0.7 1.0 1.1 4.9 2.6 -81 -8.1 -105.7 18.4 0.0 75.0 0.27 24.9 18.4
Nadia Randall - 20 13.8 2.3 2.4 0.2 0.3 0.1 1.5 3.4 0.5 -227 -11.3 -86.1 27.9 35.7 75.0 -2.13 33.0 31.6
WynterRose Sheka - 5 18.4 2.0 1.8 0.6 0.8 0.0 0.4 3.0 1.8 - - - 26.7 25.0 0.0 2.09 31.5 33.3
Cieara Dinwiddie - 19 18.0 1.8 1.9 0.4 0.4 0.3 1.2 3.3 0.4 -223 -11.2 -74.5 20.6 13.2 100.0 -2.31 27.0 24.6
Cadence Turnbow - 11 11.0 1.4 1.5 0.6 0.2 0.0 1.5 2.6 -0.5 -71 -7.9 -123.4 20.7 16.7 50.0 -2.78 24.4 22.4
Alexandra Gonzales - 14 5.3 1.0 0.9 0.1 0.1 0.0 0.1 1.0 0.9 -53 -3.8 -79.5 50.0 0 0.0 -0.75 47.0 50.0

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