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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 → 582 (#540) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 571 (#540) -
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 +2.9 More → -20.1 (#351) HCA +2.9
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 117 | GP 23 More → 511 (#521) RD 117 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-11 @ UTEP - Incomplete score
2025-11-14 vs Fort Lewis - Incomplete score
2025-11-15 @ N.M. Highlands - Incomplete score
2025-11-22 vs N.M. Highlands - Incomplete score
2025-11-25 @ MSU Denver - Incomplete score
2025-11-26 vs UCCS - Incomplete score
2025-11-28 @ CSU Pueblo - Incomplete score
2025-12-04 @ St. Mary's (TX) - Incomplete score
2025-12-06 @ St. Edward's - Incomplete score
2025-12-14 @ New Mexico St. - Incomplete score
2025-12-20 vs Texas-Dallas - Incomplete score
2026-01-02 vs West Tex. A&M - Incomplete score
2026-01-10 @ Texas Woman's - Incomplete score
2026-01-15 vs Cameron - Incomplete score
2026-01-17 vs Okla. Christian - Incomplete score
2026-01-20 vs Sul Ross St. - Incomplete score
2026-01-22 @ Texas-Dallas - Incomplete score
2026-01-29 vs Tex. A&M-Kingsville - Incomplete score
2026-01-31 vs Tex. A&M Int'l - Incomplete score
2026-02-05 @ Angelo St. - Incomplete score
2026-02-07 @ UT Permian Basin - 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%
Jordan Sapien - 18 31.4 14.1 3.3 3.2 1.8 0.0 1.8 11.2 9.4 -254 -12.7 -53.7 43.3 27.1 74.4 2.1 53.6 48.0
Teeya Gordon - 19 16.7 10.1 5.4 0.2 0.7 0.6 2.9 8.7 5.3 -189 -9.0 -65.1 44.6 0 57.1 -1.76 48.0 44.6
Tess Taylor - 17 28.0 8.9 1.9 0.7 0.5 0.0 2.2 9.2 0.5 -233 -12.3 -80.8 31.2 27.5 89.7 -1.73 44.8 40.1
Natalie Magallnes - 14 25.8 7.9 2.7 0.8 0.9 0.0 3.6 8.4 0.3 -266 -14.8 -199.4 34.7 30.7 41.7 -2.02 44.6 44.5
Yvanna Villarreal - 10 21.7 7.2 3.4 1.0 0.7 0.0 4.2 9.8 -1.7 -207 -15.9 -115.6 27.6 40.9 52.9 -4.96 34.1 32.1
Angelina Khalaf - 7 16.4 6.3 4.0 0.4 0.7 0.4 1.7 5.6 4.6 - - - 35.9 0.0 72.7 1.29 45.2 35.9
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 -4.3 26.0 25.9
Brelee Nichols - 15 26.6 2.9 3.5 1.1 0.9 0.3 2.8 3.2 2.7 -224 -14.9 -46.2 33.3 20.0 60.0 -0.29 40.3 36.5
Naomi Kimble - 10 22.4 2.8 5.8 0.9 0.3 0.1 0.8 3.4 5.7 -161 -11.5 -125.3 26.5 0 55.6 -3.33 33.4 26.5
Nadia Randall - 18 13.8 2.6 2.4 0.1 0.4 0.2 1.5 3.4 0.8 -227 -11.3 -86.1 31.1 35.7 75.0 -5.91 36.6 35.2
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 1.7 31.5 33.3
Ema Rose - 8 14.3 1.9 3.9 0.2 0.8 0.9 1.1 4.2 2.2 -81 -8.1 -105.7 11.8 0.0 87.5 -1.67 20.0 11.8
Cieara Dinwiddie - 18 17.6 1.4 1.7 0.4 0.3 0.3 1.1 3.0 0.2 -223 -11.2 -74.5 16.7 12.5 100.0 -3.43 23.3 20.4
Alexandra Gonzales - 12 5.4 0.7 0.8 0.1 0.1 0.0 0.1 0.9 0.7 -53 -3.8 -79.5 36.4 0 0 0.41 36.4 36.4
Cadence Turnbow - 9 10.9 0.6 1.6 0.6 0.2 0.0 1.4 2.8 -1.3 -71 -7.9 -123.4 8.0 0.0 50.0 -0.65 9.7 8.0

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