๐Ÿปโฌ‡๏ธ๐Ÿ€

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 โ†’ 1319 (#20) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1330 (#11) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 1210 (#7) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ +20.5 (#9) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More โ†’ +19.6 (#59) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.831 (#9) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +26.6 More โ†’ 0.940 (#168) NetEff +26.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +26.9 More โ†’ 0.957 (#6) AdjNet +26.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +25.8 More โ†’ 0.953 (#9) 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 โ†’ 0.852 (#8) 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 โ†’ 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 โ†’ 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 โ†’ 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 โ†’ 1313 (#11) 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 - Incomplete score
2026-01-31 vs Cameron W 107 - 50
2026-02-03 vs Midwestern St. W 77 - 57
2026-02-05 @ UT Dallas W 86 - 60
2026-02-07 @ DBU L 75 - 80
2026-02-12 vs Tex. A&M-Kingsville W 82 - 62
2026-02-14 vs Tex. A&M Int'l W 96 - 57
2026-02-19 @ Angelo St. W 77 - 72
2026-02-21 @ UT Permian Basin W 80 - 77
2026-02-26 vs Western N.M. W 87 - 83
2026-02-28 vs Sul Ross St. W 69 - 67
2026-03-05 vs St. Edward's W 79 - 77
2026-03-07 @ Eastern N.M. L 85 - 101
2026-03-14 vs Black Hills St. L 64 - 67

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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Amondo Miller Jr. - 32 35.7 21.0 8.4 3.1 1.4 0.4 2.3 15.2 16.8 - - - - 50.8 36.4 76.3 - 59.6 55.3
Antonio Pusateri - 33 34.6 16.7 11.0 1.9 0.8 1.1 1.4 12.8 17.2 - - - - 59.3 0 42.9 - 58.2 59.3
Kendall Dow - 33 35.7 15.0 2.4 2.7 0.8 0.0 1.3 11.8 7.8 - - - - 44.8 40.6 84.1 - 59.0 56.4
Lucas Mercandino - 32 30.7 11.5 3.3 3.4 0.7 0.4 1.8 7.9 9.5 - - - - 49.4 37.6 81.1 - 62.4 57.5
Alex Anamekwe - 18 27.3 10.5 5.1 1.2 1.0 1.1 1.0 8.2 9.7 - - - - 47.6 39.8 48.5 - 58.5 58.8
Leo Nordberg - 33 25.0 4.8 2.6 3.0 1.1 0.1 1.4 3.9 6.4 - - - - 42.6 36.0 66.7 - 56.8 55.0
Devin Baccas - 17 11.3 2.9 2.0 0.6 0.6 0.1 0.5 1.9 3.8 - - - - 65.6 33.3 75.0 - 69.0 67.2
Jett McCasland - 22 7.5 2.5 0.6 0.2 0.7 0.0 0.2 1.9 2.0 - - - - 41.5 41.2 75.0 - 60.6 58.5
Reagan Fiedler - 25 10.1 2.3 0.8 0.7 0.2 0.1 0.3 1.9 1.9 - - - - 44.7 37.1 66.7 - 59.0 58.5
Ignacio Garcia - 15 4.9 1.4 0.8 0.5 0.4 0.0 0.3 1.1 1.7 - - - - 43.8 25.0 54.5 - 50.4 46.9
Lee van der Westhuizen - 23 4.2 1.0 0.7 0.2 0.2 0.1 0.1 0.6 1.5 - - - - 71.4 0 50.0 - 68.5 71.4
Emerson Juhasz - 9 3.3 0.9 0.7 0.1 0.0 0.0 0.4 0.9 0.3 - - - - 25.0 25.0 75.0 - 41.0 31.2
Adam Varadi - 7 2.0 0.0 0.4 0.1 0.0 0.0 0.1 0.1 0.3 - - - - 0.0 0 0 - 0.0 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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