🐻⬇️🏀

California Golden

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: California Golden Bears
Program History
Coach: Mike Montgomery

2013 Team Stats (8 games)

62.8
PPG
64.3
Opp
+2.9
Margin
42.5%
FG%
29.1%
3P%
62.4%
FT%
35.9
RPG
14.4
APG
14.4
TO
78.6
Pace

Model Outputs

2012-2013
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 → 1479 (#78) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1418 (#80) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 1068 (#82) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +28.1 (#104) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +20.2 (#36) HCA +3.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -2.7 More → 0.416 (#117) NetEff -2.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.3 | AdjD 60.3 More → 0.654 (#66) AdjO 67.3 | AdjD 60.3
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 → 0.857 (#56) 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 → 0.837 (#54) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 109 | GP 33 More → 1209 (#59) RD 109 | GP 33

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-11 vs Cal State Bakersfield Roadrunners W 78 - 65
2012-11-13 vs Pepperdine Waves W 79 - 62
2012-11-16 @ Denver Pioneers W 72 - 61
2012-11-22 vs Drake Bulldogs W 73 - 70
2012-11-23 vs Georgia Tech Yellow Jackets W 68 - 57
2012-11-25 vs Pacific Tigers W 78 - 58
2012-12-02 @ Wisconsin Badgers L 56 - 81
2012-12-09 vs UNLV Rebels L 75 - 76
2012-12-15 vs Creighton Bluejays L 64 - 74
2012-12-18 vs UC Santa Barbara Gauchos W 68 - 59
2012-12-22 vs Prairie View A&M Panthers W 85 - 53
2012-12-29 vs Harvard Crimson L 62 - 67
2013-01-03 @ UCLA Bruins L 65 - 79
2013-01-05 @ USC Trojans W 72 - 64
2013-01-09 vs Washington Huskies L 47 - 62
2013-01-12 vs Washington State Cougars W 67 - 54
2013-01-19 @ Stanford Cardinal L 59 - 69
2013-01-24 @ Utah Utes W 62 - 57
2013-01-27 @ Colorado Buffaloes L 71 - 81
2013-01-31 vs Oregon State Beavers W 71 - 68
2013-02-02 vs Oregon Ducks W 58 - 54
2013-02-07 @ Arizona State Sun Devils L 62 - 66
2013-02-10 @ Arizona Wildcats W 77 - 69
2013-02-14 vs UCLA Bruins W 76 - 63
2013-02-17 vs USC Trojans W 76 - 68
2013-02-21 @ Oregon Ducks W 48 - 46
2013-02-23 @ Oregon State Beavers W 60 - 59
2013-02-28 vs Utah Utes W 64 - 46
2013-03-02 vs Colorado Buffaloes W 62 - 46
2013-03-06 vs Stanford Cardinal L 70 - 83
2013-03-14 vs Utah Utes L 69 - 79
2013-03-21 @ UNLV Rebels W 64 - 61
2013-03-23 @ Syracuse Orange L 60 - 66

2013 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%
A. Crabbe A. Crabbe G 33 36.2 18.4 6.1 2.6 1.1 0.7 2.5 3.6 22.8 - - - 45.8 31.9 77.5 1.12 223.8 52.1
J. Cobbs J. Cobbs G 33 35.6 15.1 3.5 4.8 1.1 0.2 2.9 2.8 18.8 71 2.2 2.6 41.5 31.6 79.4 1.04 228.1 44.7
R. Solomon R. Solomon F 33 25.1 8.9 6.8 0.6 0.7 1.1 1.6 2.2 14.4 80 2.4 4.5 48.6 50.0 56.8 1.11 165.9 50.0
D. Kravish D. Kravish F 33 30.6 7.9 6.9 1.0 0.8 1.7 1.0 1.8 15.6 31 0.9 1.5 42.4 0 75.0 0.47 208.7 42.4
T. Wallace T. Wallace G 33 28.2 7.2 4.4 2.6 0.8 0.5 1.7 2.2 11.6 17 0.5 0.9 33.8 25.0 57.6 0.75 133.9 38.5
R. Thurman R. Thurman F 33 16.9 4.9 3.5 0.3 0.4 0.4 0.9 1.1 7.5 32 1.0 1.9 62.2 0 38.5 0.56 188.4 62.2
R. Kreklow R. Kreklow G 9 17.0 3.1 2.3 1.9 0.6 0.2 1.3 1.0 5.8 18 1.6 3.6 11.1 16.7 50.0 0.54 141.7 16.7
B. Smith B. Smith G 27 16.9 2.4 1.4 1.8 0.7 0.0 1.1 0.6 4.6 23 0.7 1.7 13.3 0.0 25.0 0.44 196.9 13.3
B. Bak B. Bak F 20 5.5 1.4 1.1 0.1 0.2 0.1 0.3 0.3 2.2 37 1.9 6.4 42.9 0.0 83.3 0.42 150.4 42.9
J. Powers J. Powers G 20 6.7 1.4 0.3 0.2 0.1 0.0 0.2 0.1 1.6 3 0.1 0.7 66.7 50.0 0 -0.07 466.7 83.3
K. Johnson K. Johnson G 6 2.8 1.0 0.8 0.0 0.0 0.0 0.7 0.2 1.0 236 7.2 10.6 100.0 100.0 0 0.63 300.0 150.0
C. Behrens C. Behrens F 7 7.6 0.7 1.6 0.0 0.1 0.0 0.3 0.0 2.1 -6 -0.9 -3.0 0 0 0 -0.14 0 0
G. Galvin G. Galvin G 3 2.0 0.0 0.0 0.0 0.0 0.0 0.3 0.0 -0.3 - - - 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