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Lubbock Christian

Also known as: Lubbock Christian
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 → 1212 (#3) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1320 (#7) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1210 (#7) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +21.5 (#11) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +19.6 (#59) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.831 (#145) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +26.6 More → 0.940 (#174) NetEff +26.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +26.9 More → 0.957 (#68) AdjNet +26.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +25.8 More → 0.953 (#77) AdjNet +25.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 82.3 | AdjD 63.0 More → 0.852 (#79) AdjO 82.3 | AdjD 63.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 79.4 | AdjD 63.2 More → 0.814 (#14) AdjO 79.4 | AdjD 63.2
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 → 0.869 (#27) 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 → 0.868 (#22) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 103 | GP 24 More → 1313 (#12) RD 103 | GP 24

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-01 @ UVA Wise W 90 - 52
2025-11-02 @ Augusta W 96 - 69
2025-11-14 vs Colo. Sch. of Mines W 63 - 58
2025-11-16 vs Regis (CO) W 105 - 70
2025-11-21 @ Colorado Mesa W 77 - 75
2025-11-22 @ Fort Lewis W 94 - 76
2025-12-03 vs UT Permian Basin W 78 - 59
2025-12-05 vs Angelo St. W 68 - 62
2025-12-11 @ Okla. Christian W 70 - 67
2025-12-13 @ Cameron L 83 - 87
2025-12-16 vs Washburn L 66 - 78
2025-12-17 vs Central Mo. W 70 - 65
2025-12-20 vs Dominican (NY) W 85 - 65
2025-12-21 @ West Liberty W 88 - 87
2026-01-02 @ St. Edward's W 88 - 71
2026-01-04 @ St. Mary's (TX) W 66 - 58
2026-01-08 @ Midwestern St. W 73 - 68
2026-01-15 vs West Tex. A&M W 72 - 57
2026-01-17 vs Eastern N.M. L 80 - 85
2026-01-22 @ UT Tyler W 70 - 66
2026-01-24 @ DBU L 75 - 80
2026-01-31 vs Cameron W 107 - 50
2026-02-03 vs Midwestern St. W 77 - 57
2026-02-05 @ Texas-Dallas W 86 - 60

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%
Amondo Miller Jr. - 24 35.3 19.6 9.0 3.3 1.5 0.3 2.4 14.4 17.0 85 4.7 15.2 49.6 39.1 79.5 1.08 59.4 54.8
Antonio Pusateri - 24 34.0 16.6 11.0 1.9 0.8 1.2 1.3 12.7 17.4 35 1.6 7.1 59.5 0 50.7 2.7 59.4 59.5
Kendall Dow - 24 35.2 15.2 2.2 2.8 0.9 0.0 1.5 11.6 8.0 31 1.4 6.3 46.6 40.6 91.3 -1.56 61.0 57.9
Alex Anamekwe - 17 28.9 11.1 5.4 1.2 1.1 1.2 1.1 8.6 10.3 -27 -1.7 -10.4 47.6 39.8 48.5 -4.78 58.5 58.8
Lucas Mercandino - 23 30.8 11.1 3.0 3.4 0.6 0.2 2.0 7.7 8.7 18 0.8 3.9 49.7 38.8 79.7 -0.08 63.1 59.0
Leo Nordberg - 24 22.5 4.5 2.2 2.6 1.0 0.1 1.3 3.5 5.5 88 4.0 18.7 43.5 38.3 57.1 2.35 57.8 57.1
Reagan Fiedler - 24 10.5 2.4 0.9 0.8 0.2 0.1 0.3 2.0 2.0 53 2.4 27.6 44.7 37.1 66.7 3.78 59.0 58.5
Jett McCasland - 13 5.2 2.0 0.4 0.1 0.6 0.0 0.3 1.3 1.5 30 2.5 30.5 47.1 46.7 75.0 1.55 69.3 67.6
Ignacio Garcia - 10 6.6 1.8 1.0 0.7 0.5 0.0 0.5 1.4 2.1 20 2.0 16.1 42.9 33.3 55.6 2.51 50.1 46.4
Emerson Juhasz - 5 5.1 1.4 0.8 0.2 0.0 0.0 0.8 1.6 0.0 14 2.8 40.2 25.0 25.0 100.0 2.57 39.4 31.2
Lee van der Westhuizen - 18 4.8 1.2 0.7 0.3 0.2 0.1 0.1 0.7 1.7 18 1.1 18.8 69.2 0 50.0 0.12 67.1 69.2
Devin Baccas - 8 5.5 1.1 0.9 0.2 0.2 0.0 0.2 1.1 1.1 12 1.7 17.6 44.4 100.0 0 0.24 50.0 50.0
Adam Varadi - 3 3.5 0.0 0.7 0.3 0.0 0.0 0.3 0.3 0.3 -3 -1.0 -16.3 0.0 0 0 0.61 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