🐻⬇️🏀

Angelo St.

Also known as: Angelo St.
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 → 1008 (#256) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 961 (#331) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1077 (#92) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +4.0 (#131) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +12.8 (#172) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.614 (#322) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -1.0 More → 0.466 (#290) NetEff -1.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +15.7 More → 0.860 (#243) AdjNet +15.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +16.4 More → 0.873 (#234) AdjNet +16.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.2 | AdjD 61.5 More → 0.727 (#229) AdjO 72.2 | AdjD 61.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.2 | AdjD 56.1 More → 0.657 (#115) AdjO 63.2 | AdjD 56.1
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 → 0.714 (#162) 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 → 0.713 (#159) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 105 | GP 20 More → 1053 (#189) RD 105 | GP 20

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Adams St. L 62 - 79
2025-11-15 @ Regis (CO) W 61 - 51
2025-11-17 @ Western Colo. L 49 - 65
2025-11-22 vs Fort Lewis L 61 - 62
2025-11-30 @ Pittsburg St. L 46 - 66
2025-12-03 @ Midwestern St. L 58 - 65
2025-12-06 @ Lubbock Christian L 59 - 77
2025-12-15 vs Tex. A&M Int'l W 59 - 38
2025-12-20 vs Emporia St. W 72 - 64
2026-01-02 vs UT Tyler L 42 - 45
2026-01-10 @ Okla. Christian W 76 - 64
2026-01-13 vs UT Permian Basin L 67 - 76
2026-01-15 vs Texas-Dallas W 63 - 49
2026-01-21 vs Tex. A&M-Kingsville W 48 - 46
2026-01-24 @ Tex. A&M-Kingsville W 69 - 48
2026-01-29 @ UT Permian Basin W 60 - 51
2026-02-05 vs Western N.M. W 79 - 47
2026-02-07 vs Sul Ross St. W 77 - 46

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%
Majik Esquivel - 18 32.4 15.1 3.3 1.9 1.8 0.3 2.8 14.3 5.3 62 3.3 15.2 37.7 29.2 73.7 0.2 48.0 44.6
Taylor Grona - 18 31.1 10.1 5.6 2.8 2.1 0.3 3.3 9.2 8.3 54 2.8 13.7 34.5 29.6 75.4 3.8 46.6 39.4
Keniah Williams - 15 24.0 9.2 7.3 1.1 0.2 2.6 2.9 7.8 9.7 19 1.3 6.2 48.7 0.0 61.5 1.25 51.4 48.7
Landry Morrow - 18 30.1 8.8 5.7 2.4 1.3 0.2 2.1 8.9 7.3 87 4.6 23.8 35.4 33.9 67.6 2.82 44.6 41.3
Stevi Lockhart - 18 23.2 5.7 2.9 1.1 0.5 0.4 1.4 6.5 2.7 -2 -0.1 -0.6 32.5 25.4 61.1 -1.91 41.2 39.3
Addy Burns - 5 23.5 5.2 2.6 1.6 1.0 0.2 3.6 6.6 0.4 -25 -6.2 -9.5 27.3 40.0 66.7 -0.78 36.5 33.3
Kenna Wood - 18 17.0 3.8 2.8 0.9 0.6 0.3 1.2 4.2 3.0 53 2.8 18.5 36.8 15.4 47.8 2.33 40.1 38.2
Briley Merket - 18 12.6 3.4 1.3 0.7 0.4 0.1 1.1 4.1 0.7 -89 -4.9 -34.6 29.7 25.5 100.0 -3.43 40.3 38.5
Halle Hughes - 9 10.2 3.3 1.3 0.2 0.3 0.1 0.9 2.7 1.8 -12 -1.3 -13.9 37.5 36.8 62.5 -1.79 54.5 52.1
Tristin Keller - 14 15.9 3.0 3.6 1.9 0.8 0.1 1.5 2.9 5.1 81 5.8 64.4 40.0 35.7 41.7 1.6 46.4 46.2
Betti Hamori - 7 6.2 1.4 1.3 0.1 0.0 0.3 0.6 1.0 1.6 -15 -2.5 -18.4 57.1 100.0 50.0 -1.73 63.5 64.3
Chidera Ezelio - 9 6.1 1.1 2.0 0.0 0.1 0.2 1.0 1.2 1.2 -19 -2.4 -39.7 27.3 0 33.3 -1.22 30.7 27.3
Dragana Scepanovic - 8 6.8 1.0 3.1 0.5 0.1 0.1 0.5 0.8 3.6 9 1.1 20.8 50.0 33.3 50.0 0.45 58.1 58.3
Chidera Ezeilo - 4 5.1 0.0 1.0 0.2 0.0 0.2 0.2 0.2 1.0 -3 -0.5 -58.1 0.0 0 0 -0.49 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