๐Ÿปโฌ‡๏ธ๐Ÿ€

Trinity University (TX)

Also known as: Trinity University (TX) Tigers
Program History

Model Outputs

2023-2024
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†’ 1272 (#25) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1325 (#14) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +71 elo More โ†’ 1140 (#37) HCA +71 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ +19.8 (#12) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More โ†’ +17.6 (#18) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.903 (#10) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +16.7 More โ†’ 0.875 (#10) NetEff +16.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +24.4 More โ†’ 0.944 (#12) AdjNet +24.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +24.6 More โ†’ 0.945 (#12) AdjNet +24.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 80.9 | AdjD 63.9 More โ†’ 0.825 (#13) AdjO 80.9 | AdjD 63.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 78.4 | AdjD 66.6 More โ†’ 0.745 (#27) AdjO 78.4 | AdjD 66.6
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†’ 0.863 (#16) 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†’ 0.851 (#17) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 163 | GP 23 More โ†’ 1317 (#16) RD 163 | GP 23

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-11-18 vs Whitman W 86 - 58
2023-11-19 vs Claremont-M-S W 74 - 64
2023-11-25 vs Concordia (TX) W 91 - 84
2023-11-26 vs Hardin-Simmons W 82 - 62
2023-11-28 vs Mary Hardin-Baylor W 83 - 64
2023-12-01 @ Southwestern (TX) W 87 - 75
2023-12-02 @ Texas Lutheran W 70 - 60
2023-12-15 vs Austin W 89 - 54
2023-12-16 vs Dallas W 87 - 52
2023-12-20 vs Wash. & Lee W 78 - 70
2023-12-21 vs UChicago W 82 - 63
2023-12-28 vs Clark (MA) W 84 - 83
2023-12-29 @ Pomona-Pitzer W 83 - 62
2024-01-02 vs Schreiner W 82 - 81
2024-01-05 @ Colorado Col. W 84 - 69
2024-01-12 vs St. Thomas (TX) L 65 - 66
2024-01-13 vs Centenary (LA) W 87 - 77
2024-01-19 vs Southwestern (TX) W 87 - 70
2024-01-20 vs Texas Lutheran W 76 - 73
2024-01-26 @ Austin W 83 - 64
2024-01-27 @ Dallas W 97 - 66
2024-02-06 @ Schreiner W 87 - 70
2024-02-11 vs Colorado Col. W 59 - 57
2024-02-16 @ St. Thomas (TX) L 65 - 72
2024-02-18 @ Centenary (LA) W 79 - 61
2024-02-24 vs Colorado Col. L 70 - 71
2024-03-01 vs UT Dallas L 63 - 67

2024 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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%
Christian Green - 23 30.7 16.8 7.7 2.5 1.8 1.3 3.2 13.6 13.3 217 22 9.9 13.1 51.3 11.1 61.9 -1.03 53.9 51.4
Jacob Harvey - 26 29.6 14.6 2.1 1.9 1.0 0.0 1.3 10.2 8.0 243 22 11.0 15.5 43.6 42.2 82.6 2.75 62.4 57.9
Tanner Brown - 23 28.0 14.2 4.7 1.9 1.8 0.2 1.4 11.1 10.2 227 20 11.3 16.4 44.3 35.5 67.1 3.96 55.7 52.7
Dean Balo - 23 20.0 10.0 2.3 1.3 1.0 0.1 1.4 7.2 6.0 - - - - 43.6 41.7 81.0 - 59.7 54.2
Jacob Millhouse - 26 21.3 5.7 2.6 2.4 0.8 0.3 1.4 4.7 5.6 179 22 8.1 15.4 42.1 30.4 93.3 1.84 54.8 49.2
Braxton Barry - 23 19.0 4.7 7.5 0.7 0.5 1.0 1.7 4.0 8.8 154 22 7.0 14.4 42.9 0 67.4 0.54 49.0 42.9
Ty Williams - 25 10.0 4.5 3.6 0.6 0.4 0.3 0.8 3.2 5.3 96 20 4.8 17.7 47.5 21.4 76.7 1.18 56.6 49.4
Zach Fenn - 26 11.3 3.4 2.3 0.7 2.0 0.1 0.8 3.2 4.5 - - - - 39.0 15.8 56.8 - 44.8 40.9
Abdullah Roberts - 26 10.3 3.3 2.2 0.5 0.5 0.1 0.6 3.2 2.9 86 22 3.9 14.8 42.7 15.4 54.5 0.67 46.9 45.1
Grayson Herr - 26 8.5 2.9 0.8 0.6 0.2 0.0 0.3 3.0 1.1 93 20 4.7 18.4 34.2 32.3 100.0 2.9 44.7 40.5
Carter Ruck - 25 3.3 1.2 0.6 0.4 0.3 0.0 0.2 1.2 1.2 - - - - 31.0 33.3 80.0 - 46.4 39.7
Grant Jacobs - 26 6.5 1.0 1.0 0.4 0.2 0.0 0.1 0.7 1.8 30 21 1.4 8.6 52.6 50.0 57.1 -1.94 61.1 60.5
Zach Austin - 23 1.7 0.5 0.3 0.1 0.0 0.0 0.2 0.3 0.4 - - - - 71.4 0 25.0 - 57.0 71.4
Nathan Thompson - 25 0.8 0.5 0.3 0.0 0.0 0.1 0.1 0.3 0.5 -12 7 -1.7 -23.2 75.0 0 50.0 -2.3 73.2 75.0
Jaxson Kapellusch - 23 1.3 0.3 0.3 0.0 0.0 0.0 0.1 0.2 0.4 -11 6 -1.8 -15.8 75.0 0 40.0 -2.16 64.5 75.0
Salim Roberts - 24 0.7 0.1 0.1 0.0 0.0 0.0 0.0 0.2 0.0 -5 6 -0.8 -12.9 16.7 0.0 50.0 -0.51 21.8 16.7
Reid Chauhan - 6 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Gabe Parr - 2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 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