🐻⬇️🏀

Cal St. San Marcos

Also known as: Cal St. San Marcos
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 → 1049 (#105) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1043 (#189) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 997 (#300) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +9.2 (#112) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -1.5 (#353) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.403 (#391) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +2.9 More → 0.582 (#371) AdjNet +2.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +3.2 More → 0.592 (#369) AdjNet +3.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.8 | AdjD 72.3 More → 0.558 (#373) AdjO 74.8 | AdjD 72.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.0 | AdjD 75.0 More → 0.500 (#298) AdjO 75.0 | AdjD 75.0
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 → 0.495 (#319) 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 → 0.497 (#316) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 98 | GP 21 More → 1023 (#207) RD 98 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs CUI L 74 - 77
2025-11-15 @ Biola W 67 - 64
2025-11-19 @ Point Loma L 61 - 75
2025-11-26 @ Azusa Pacific W 78 - 63
2025-11-29 vs Nobel W 85 - 50
2025-12-03 vs Cal St. Monterey Bay L 82 - 92
2025-12-06 @ Cal St. Monterey Bay L 75 - 82
2025-12-19 vs Cal Poly Humboldt W 64 - 56
2025-12-21 vs Chico St. W 83 - 76
2026-01-02 @ UC Merced W 62 - 57
2026-01-04 @ Stanislaus St. L 68 - 72
2026-01-08 @ CSUSB W 92 - 91
2026-01-10 @ Cal Poly Pomona W 79 - 60
2026-01-15 vs Cal State LA W 87 - 62
2026-01-17 vs Cal St. Dom. Hills L 77 - 85
2026-01-22 @ Cal St. East Bay L 70 - 87
2026-01-24 @ San Fran. St. W 76 - 71
2026-01-29 vs Stanislaus St. L 80 - 83
2026-01-31 vs UC Merced L 66 - 80
2026-02-05 vs Cal Poly Pomona L 69 - 74
2026-02-07 vs CSUSB W 86 - 74

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%
Keavie Love - 17 25.9 15.1 3.2 2.0 1.2 0.1 2.2 9.9 9.4 14 0.9 3.2 45.8 32.1 84.2 2.14 60.3 50.9
Dexter Stratton - 17 27.3 13.9 7.6 0.7 0.8 0.2 1.8 11.3 10.1 -31 -1.9 -6.8 45.8 32.4 74.2 -0.75 53.4 48.7
Max Tengan - 19 24.0 9.7 1.6 1.6 0.7 0.0 1.4 7.8 4.5 1 0.1 0.3 46.6 37.5 79.3 -0.57 57.5 54.7
Chris Carrillo - 21 17.9 8.6 1.2 1.4 0.6 0.0 1.2 5.8 4.8 -29 -1.4 -8.5 45.1 40.0 85.2 -0.86 60.5 52.5
Aaron Ragen - 21 25.9 7.9 3.4 1.2 0.4 0.0 0.7 4.5 7.8 48 2.4 10.6 52.1 50.0 78.9 2.12 75.0 72.3
Jaylin Leslie - 21 20.8 7.0 3.5 1.0 1.2 0.0 1.0 5.9 5.9 12 0.6 3.2 41.1 42.6 68.6 0.51 52.4 49.2
Nate Simon - 20 18.2 6.5 1.4 1.7 0.7 0.1 0.9 5.5 3.9 30 1.6 11.0 30.6 25.8 92.0 0.81 49.2 38.3
Micah Boone - 21 17.4 4.6 3.1 0.4 0.5 0.1 0.9 4.3 3.5 -11 -0.6 -4.0 34.4 20.0 61.4 -3.05 44.3 38.9
Remington Rofer - 21 22.4 4.5 3.7 0.9 0.7 0.1 0.7 4.7 4.4 3 0.1 0.8 33.3 30.4 50.0 -1.65 43.4 41.9
Veljko Muntilak - 21 11.5 3.1 3.4 0.5 0.2 0.0 1.0 3.2 3.1 -6 -2.0 -8.8 35.3 0.0 63.0 0.01 40.7 35.3
Ryan Conner - 3 3.2 2.0 0.7 0.0 0.0 0.0 0.0 1.3 1.3 - - - 50.0 66.7 0.0 - 67.6 75.0
Chanel Mballa - 18 7.1 0.8 1.4 0.2 0.2 0.0 0.3 0.9 1.4 39 2.2 50.1 43.8 0 0 2.35 43.8 43.8
Myles Harvey - 5 5.1 0.8 1.2 0.2 0.6 0.0 0.2 1.0 1.6 14 2.8 175.0 40.0 0.0 0 -0.06 40.0 40.0

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