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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 โ†’ 1131 (#87) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1049 (#130) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More โ†’ 1077 (#92) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ +8.3 (#94) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More โ†’ +12.8 (#172) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.614 (#115) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -1.0 More โ†’ 0.466 (#290) NetEff -1.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +15.7 More โ†’ 0.860 (#83) AdjNet +15.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +16.4 More โ†’ 0.873 (#76) 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 โ†’ 0.727 (#74) 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 โ†’ 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 โ†’ 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 โ†’ 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 106 | GP 20 More โ†’ 1045 (#206) RD 106 | 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 - Incomplete score
2026-01-29 @ UT Permian Basin - Incomplete score
2026-02-05 vs Western N.M. W 79 - 47
2026-02-07 vs Sul Ross St. W 77 - 46
2026-02-12 @ St. Edward's W 73 - 57
2026-02-14 @ St. Mary's (TX) W 59 - 53
2026-02-19 vs Lubbock Christian W 65 - 58
2026-02-21 vs Midwestern St. W 86 - 77
2026-02-26 @ West Tex. A&M L 62 - 69
2026-02-28 @ Eastern N.M. L 50 - 64
2026-03-06 vs UT Tyler L 57 - 64

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%
Majik Esquivel - 25 32.9 16.4 3.4 1.8 1.8 0.4 2.9 14.8 6.0 125 19 6.6 8.2 39.7 30.8 79.5 2.15 50.6 46.9
Landry Morrow - 25 31.1 10.2 5.5 2.4 1.6 0.2 2.2 9.9 7.7 146 19 7.7 9.8 37.1 34.9 72.9 2.11 46.7 42.9
Taylor Grona - 25 31.2 9.6 5.1 2.7 1.8 0.3 3.1 9.0 7.4 111 19 5.8 7.9 33.6 24.7 76.7 2.39 45.4 38.1
Keniah Williams - 16 22.5 8.6 6.8 1.1 0.2 2.4 2.7 7.3 9.1 67 10 6.7 13.1 48.7 0.0 61.5 1.84 51.4 48.7
Stevi Lockhart - 25 24.3 6.3 3.0 1.1 0.4 0.4 1.4 7.0 2.8 68 19 3.6 6.0 33.9 29.0 63.2 -1.56 43.0 41.7
Kenna Wood - 25 19.4 4.7 2.7 0.9 0.7 0.3 1.1 5.0 3.2 27 19 1.4 3.0 36.8 16.7 63.6 -4.09 41.9 38.4
Addy Burns - 6 19.6 4.3 2.2 1.3 0.8 0.2 3.0 5.5 0.3 - - - - 27.3 40.0 66.7 - 36.5 33.3
Briley Merket - 25 13.0 3.4 1.3 0.7 0.4 0.0 0.9 3.8 1.2 0 19 0.0 0.0 32.6 29.9 100.0 -3.7 44.4 43.2
Tristin Keller - 21 18.0 3.1 3.9 2.0 1.0 0.1 1.5 3.3 5.2 114 19 6.0 14.2 31.4 22.6 55.6 5.26 40.3 36.4
Halle Hughes - 14 8.6 2.3 1.1 0.2 0.3 0.1 0.8 2.3 0.9 -17 13 -1.3 -6.2 31.2 31.8 62.5 -5.87 45.0 42.2
Betti Hamori - 8 5.4 1.2 1.1 0.1 0.0 0.2 0.5 0.9 1.4 - - - - 57.1 100.0 50.0 -0.98 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 - - - - 27.3 0 33.3 -1.33 30.7 27.3
Dragana Scepanovic - 15 6.9 0.8 2.6 0.3 0.2 0.1 0.5 0.7 2.8 21 13 1.6 8.9 45.5 33.3 50.0 -0.84 50.5 50.0
Chidera Ezeilo - 5 4.0 0.0 0.8 0.2 0.0 0.2 0.2 0.2 0.8 -10 6 -1.7 -9.5 0.0 0 0 -3.08 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