🐻⬇️🏀

Cal State LA

Also known as: Cal State LA
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 → 990 (#193) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 886 (#459) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 890 (#537) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +5.7 (#163) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -7.7 (#434) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.603 (#283) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +23.0 More → 0.912 (#191) NetEff +23.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +8.9 More → 0.736 (#274) AdjNet +8.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +10.6 More → 0.775 (#254) AdjNet +10.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.0 | AdjD 71.3 More → 0.669 (#262) AdjO 79.0 | AdjD 71.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.4 | AdjD 76.3 More → 0.370 (#480) AdjO 70.4 | AdjD 76.3
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 → 0.351 (#432) 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 → 0.343 (#436) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 100 | GP 22 More → 890 (#372) RD 100 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Biola L 66 - 77
2025-11-15 @ CUI L 62 - 77
2025-11-19 vs Azusa Pacific L 62 - 69
2025-11-24 @ Fresno Pacific W 87 - 71
2025-11-28 @ Northwest Nazarene L 75 - 79
2025-11-29 @ Western Ore. L 70 - 74
2025-12-04 @ Cal Poly Pomona L 57 - 61
2025-12-06 @ CSUSB W 63 - 45
2025-12-19 vs San Fran. St. W 101 - 57
2025-12-21 vs Cal St. East Bay L 69 - 77
2026-01-02 @ Chico St. L 69 - 70
2026-01-04 @ Cal Poly Humboldt L 72 - 75
2026-01-08 vs Stanislaus St. W 57 - 56
2026-01-10 vs UC Merced W 76 - 73
2026-01-15 @ Cal St. San Marcos L 62 - 87
2026-01-17 @ Cal St. Monterey Bay L 82 - 96
2026-01-22 vs Cal St. Dom. Hills W 82 - 77
2026-01-24 @ Cal St. Dom. Hills L 56 - 72
2026-01-29 vs Cal Poly Humboldt L 66 - 77
2026-01-31 vs Chico St. W 83 - 80
2026-02-05 @ Cal St. East Bay L 79 - 102
2026-02-07 @ San Fran. St. L 56 - 84

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%
Jaden Tengan - 1 29.9 25.0 3.0 2.0 1.0 0.0 0.0 15.0 16.0 6 0.3 1.2 60.0 50.0 75.0 -0.2 74.6 73.3
Joey Bilello - 1 21.7 15.0 9.0 4.0 0.0 0.0 1.0 8.0 19.0 35 1.7 10.7 50.0 66.7 100.0 0.78 73.5 62.5
Chol Deng - 1 22.7 15.0 7.0 3.0 0.0 0.0 2.0 9.0 14.0 71 3.4 20.8 77.8 100.0 0 3.53 83.3 83.3
Deraje Agbaosi - 21 28.5 13.4 7.0 2.0 1.5 1.2 2.1 10.2 12.7 -115 -5.2 -20.5 52.1 22.2 68.8 -0.88 56.2 52.6
Isaiah Fields - 21 28.9 12.4 4.9 1.6 1.3 0.3 2.0 11.3 7.1 -78 -3.5 -13.0 43.3 31.6 77.3 -0.29 52.5 51.1
Khemanni Davis - 21 30.3 12.1 2.3 2.0 0.7 0.1 1.5 9.0 6.9 -51 -2.3 -8.6 46.8 40.0 81.1 -0.67 60.3 56.4
Mezziah Oakman - 1 23.7 11.0 2.0 0.0 1.0 0.0 1.0 8.0 5.0 37 1.8 12.5 50.0 50.0 0 3.04 68.8 68.8
Michael Pearson Jr. - 21 28.3 10.6 1.7 2.4 1.1 0.0 1.1 7.4 7.3 -80 -3.6 -14.7 42.6 38.8 96.4 -0.56 62.2 54.8
Ashton Reese - 1 22.1 9.0 4.0 0.0 0.0 3.0 2.0 4.0 10.0 -42 -2.0 -10.8 100.0 0 14.3 -4.65 63.6 100.0
JJ Howard - 4 17.6 8.8 1.8 0.8 0.8 0.0 1.0 6.5 4.5 2 0.5 2.2 46.2 16.7 100.0 0.65 57.6 48.1
Donovan Vickers - 21 30.5 6.8 2.9 2.5 0.8 0.2 1.8 6.6 4.9 -59 -2.7 -9.9 38.4 30.6 78.6 -1.89 49.6 47.8
Ariya Briscoe - 1 21.0 5.0 2.0 0.0 2.0 0.0 0.0 6.0 3.0 22 1.2 11.1 33.3 20.0 0 -1.75 41.7 41.7
Connor Scales - 21 18.8 4.4 2.1 1.5 0.4 0.1 1.1 3.4 4.0 -49 -2.2 -14.3 41.7 34.6 85.7 -2.3 55.1 47.9
Jordan Hansen - 18 16.9 4.1 2.6 1.0 0.7 0.3 0.8 4.5 3.4 -60 -3.5 -28.6 33.3 16.7 58.3 -2.85 40.4 37.0
Brase Dottin - 15 9.6 2.9 0.8 0.1 0.3 0.0 0.4 2.0 1.8 -37 -2.3 -16.5 46.7 44.4 88.9 -0.79 64.8 60.0
Sam Ibeh - 17 8.6 2.6 1.2 0.1 0.2 0.2 0.3 2.2 1.9 31 1.7 31.3 42.1 31.6 66.7 0.64 52.4 50.0
Miki Gacic - 1 22.3 2.0 4.0 0.0 1.0 0.0 3.0 2.0 2.0 7 0.3 3.2 50.0 0.0 0 -0.17 50.0 50.0
Martin Zarzuela - 1 4.8 2.0 0.0 0.0 0.0 0.0 1.0 3.0 -2.0 -1 -1.0 -5.0 33.3 0 0 -0.25 33.3 33.3
Damarion Pouncil - 9 6.0 1.8 1.8 0.2 0.1 1.0 0.1 1.7 3.1 2 0.2 3.0 40.0 0 30.8 0.63 38.6 40.0
Caleb Cronn - 1 3.1 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 -10 -3.3 -59.1 0.0 0.0 0 -0.42 0.0 0.0
Damjan Agovic - 1 5.4 0.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 - - - 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