🐻⬇️🏀

Biola

Also known as: Biola
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 → 1017 (#166) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 964 (#297) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1001 (#279) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +5.6 (#164) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -4.8 (#395) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.618 (#275) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -1.2 More → 0.465 (#254) NetEff -1.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +7.4 More → 0.701 (#298) AdjNet +7.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +7.7 More → 0.711 (#296) AdjNet +7.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 80.1 | AdjD 73.5 More → 0.645 (#278) AdjO 80.1 | AdjD 73.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.9 | AdjD 73.0 More → 0.431 (#424) AdjO 69.9 | AdjD 73.0
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 → 0.448 (#356) 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 → 0.444 (#359) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 94 | GP 22 More → 975 (#252) RD 94 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Cal State LA W 77 - 66
2025-11-15 vs Cal St. San Marcos L 64 - 67
2025-11-18 @ Cal St. Dom. Hills W 86 - 80
2025-11-21 vs Stanton W 89 - 66
2025-11-29 vs Cal Poly Pomona L 72 - 80
2025-12-04 @ Fresno Pacific L 80 - 85
2025-12-06 @ Jessup W 84 - 81
2025-12-10 vs Point Loma L 70 - 74
2025-12-13 @ Westmont L 61 - 72
2025-12-19 vs Stanton W 95 - 63
2026-01-03 vs Vanguard W 85 - 76
2026-01-08 @ Azusa Pacific L 78 - 85
2026-01-13 @ Point Loma L 61 - 81
2026-01-15 vs Westmont L 55 - 67
2026-01-20 @ Hawaii Pacific L 65 - 78
2026-01-23 @ Chaminade W 98 - 85
2026-01-24 @ Hawaii Hilo L 59 - 68
2026-01-29 vs Fresno Pacific L 62 - 70
2026-01-31 vs Jessup W 74 - 72
2026-02-02 vs Chaminade W 82 - 70
2026-02-05 vs Hawaii Hilo W 67 - 65
2026-02-07 vs Menlo W 71 - 60

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%
DJ Sanders - 1 28.9 20.0 7.0 1.0 3.0 0.0 1.0 10.0 20.0 4 0.2 1.7 70.0 50.0 55.6 -1.23 71.6 75.0
Cameron Brown - 20 35.3 16.6 5.0 2.8 1.4 0.2 2.1 14.7 9.2 -20 -1.0 -3.1 45.1 26.5 72.8 0.58 50.5 46.6
Tyus Parrish-Tillman - 21 32.6 16.0 7.9 2.1 0.7 2.4 1.8 11.2 16.1 -92 -4.4 -16.4 47.9 35.5 72.2 2.32 58.6 53.6
Caleb Oden - 1 29.7 16.0 4.0 0.0 1.0 0.0 0.0 6.0 15.0 -57 -3.2 -13.5 83.3 80.0 40.0 -0.19 97.6 116.7
Chris Harris - 20 34.7 14.9 7.3 2.1 1.8 0.8 1.9 11.6 13.3 -227 -5.2 -21.9 47.6 29.7 80.0 -1.37 56.9 52.4
EJ Bryson - 1 33.2 12.0 1.0 4.0 3.0 1.0 4.0 9.0 8.0 -4 -0.2 -1.2 22.2 0.0 80.0 0.85 44.8 22.2
Charlie Gehler - 21 31.3 11.6 3.1 2.3 1.0 0.2 2.2 8.0 8.0 -69 -3.3 -12.3 49.1 45.3 75.0 2.18 66.7 65.0
Shad Thomas - 1 25.4 11.0 7.0 1.0 1.0 1.0 2.0 7.0 12.0 20 1.1 5.1 71.4 100.0 0.0 1.03 69.8 78.6
Tobias Aisien - 1 25.9 10.0 2.0 1.0 0.0 0.0 2.0 5.0 6.0 -23 -1.3 -5.9 60.0 50.0 100.0 -0.09 85.0 80.0
Kaleb Taylor - 1 22.9 9.0 10.0 1.0 0.0 1.0 3.0 7.0 11.0 0 0.0 0.0 57.1 0 50.0 -0.76 57.1 57.1
Walker Weir - 18 20.0 6.7 3.9 0.9 0.2 0.6 1.4 6.2 4.7 -72 -4.0 -56.6 43.8 19.4 64.0 -0.91 48.8 46.4
Facundo Aranda - 20 17.6 3.8 2.0 1.9 0.9 0.1 1.6 3.3 3.8 -37 -1.9 -9.8 42.4 31.2 90.0 0.12 53.3 50.0
Joe Ofori - 5 9.2 3.2 1.6 0.4 0.0 0.0 0.6 2.2 2.4 -20 -4.0 -34.1 63.6 0.0 66.7 -1.38 64.9 63.6
Garrison Sherman - 16 11.0 2.2 1.8 0.7 0.4 0.2 0.5 2.2 2.5 -2 -0.1 -1.7 38.9 22.2 42.9 -0.91 44.8 44.4
Gannon Dykstra - 20 9.0 2.0 0.8 0.3 0.1 0.1 0.2 1.8 1.3 -24 -1.2 -12.4 40.0 34.6 66.7 -1.43 54.5 52.9
Logan Stewart - 2 5.5 2.0 2.5 0.5 0.0 0.0 0.5 2.5 2.0 - - - 40.0 0 0 - 40.0 40.0
Ay-Keen Richardson - 9 9.8 2.0 1.7 0.7 0.0 0.2 0.6 1.9 2.1 -3 -0.4 -3.5 35.3 50.0 42.9 0.1 44.8 44.1
Scott McDowell - 6 6.8 1.5 0.8 0.8 0.7 0.0 0.5 1.5 1.8 11 1.8 310.6 22.2 0.0 83.3 -0.35 38.7 22.2
Mikah Tolpezninkas - 2 4.8 1.5 0.0 0.0 0.0 0.0 0.0 1.5 0.0 - - - 33.3 50.0 0 - 50.0 50.0
Jalen Atkins - 5 8.7 1.2 0.6 0.4 0.2 0.0 0.6 1.4 0.4 - - - 28.6 20.0 50.0 - 38.1 35.7
Cole Bekkering - 9 8.2 1.1 1.2 0.7 0.3 0.1 0.4 1.2 1.8 18 1.8 1542.9 36.4 0.0 50.0 0.0 39.2 36.4
Leyton Martin - 15 11.9 0.7 1.0 1.6 0.8 0.1 0.6 0.9 2.7 -10 -0.6 -4.1 30.8 12.5 25.0 -0.75 33.9 34.6
Parker Christensen - 1 7.2 0.0 1.0 0.0 0.0 0.0 1.0 1.0 -1.0 -90 -4.7 -24.7 0.0 0 0 1.0 0.0 0.0
DM Sanders - 1 3.2 0.0 1.0 0.0 0.0 0.0 0.0 1.0 0.0 4 0.2 1.7 0.0 0.0 0 -1.23 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