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Pepperdine

Also known as: Pepperdine Waves, Pepperdine
Program History

2013 Team Stats (3 games)

63.3
PPG
67.4
Opp
-4.6
Margin
41.3%
FG%
31.7%
3P%
72.6%
FT%
39.0
RPG
10.3
APG
17.3
TO
78.0
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 → 1041 (#313) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1226 (#203) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 938 (#508) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +20.2 (#224) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +5.9 (#213) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.366 (#79) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -15.4 More → 0.143 (#197) NetEff -15.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -9.8 More → 0.246 (#89) AdjNet -9.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -10.3 More → 0.233 (#91) AdjNet -10.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.4 | AdjD 64.4 More → 0.455 (#413) AdjO 62.4 | AdjD 64.4
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 → 0.562 (#243) 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 → 0.531 (#251) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 156 | GP 30 More → 970 (#237) RD 156 | GP 30

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 @ Cal State Northridge Matadors L 75 - 81
2012-11-13 @ California Golden Bears L 62 - 79
2012-11-16 vs Washington State Cougars W 58 - 56
2012-11-20 @ Houston Christian Huskies W 57 - 53
2012-11-24 vs UC Irvine Anteaters W 72 - 62
2012-11-29 @ Montana State Bobcats W 76 - 66
2012-12-01 @ Utah Valley Wolverines L 63 - 67
2012-12-05 vs UC Riverside Highlanders W 62 - 40
2012-12-08 @ Hawai'i Rainbow Warriors W 63 - 56
2012-12-16 vs Central Michigan Chippewas L 77 - 80
2012-12-19 @ Alabama State Hornets W 66 - 58
2012-12-20 @ Tulane Green Wave L 54 - 69
2012-12-28 vs Fresno Pacific Sunbirds W 60 - 59
2013-01-03 vs Gonzaga Bulldogs L 62 - 78
2013-01-05 vs Portland Pilots W 54 - 47
2013-01-10 @ BYU Cougars L 51 - 76
2013-01-12 vs San Diego Toreros L 50 - 62
2013-01-19 vs Santa Clara Broncos L 76 - 83
2013-01-24 @ Loyola Marymount Lions W 60 - 57
2013-01-26 @ Saint Mary's Gaels L 72 - 84
2013-01-31 vs BYU Cougars L 61 - 63
2013-02-02 vs San Francisco Dons L 78 - 86
2013-02-07 @ Gonzaga Bulldogs L 56 - 82
2013-02-09 @ Portland Pilots W 72 - 68
2013-02-14 vs Loyola Marymount Lions W 52 - 50
2013-02-16 @ Santa Clara Broncos L 60 - 70
2013-02-23 @ San Francisco Dons L 58 - 64
2013-02-27 vs Saint Mary's Gaels L 48 - 87
2013-03-02 @ San Diego Toreros L 69 - 76
2013-03-07 @ San Diego Toreros L 59 - 62

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%
L. Jackson L. Jackson G 30 30.1 13.6 3.7 2.8 1.5 0.2 3.2 2.6 16.1 -13 -0.4 -0.7 42.9 34.6 81.8 0.03 222.9 48.7
S. Creason S. Creason - 1 0.0 12.0 2.0 1.0 0.0 1.0 1.0 6.0 9.0 - - - 66.7 0 80.0 - 73.2 66.7
J. Baker J. Baker G 30 31.2 11.4 4.2 3.1 0.9 0.2 3.4 1.9 14.5 - - - 46.4 37.9 57.9 0.57 264.9 56.2
S. Davis S. Davis F 30 30.4 11.2 7.3 1.3 0.7 0.4 2.5 2.2 16.3 59 1.8 3.1 41.8 0.0 82.6 0.42 218.5 41.8
N. Skouen N. Skouen G 30 22.5 8.0 1.9 0.6 0.4 0.0 0.9 1.2 8.9 -131 -4.4 -7.9 45.7 38.5 80.0 -0.69 322.6 60.0
J. Raines J. Raines F 30 22.3 6.6 3.8 0.2 0.5 0.2 0.7 1.1 9.4 -12 -0.4 -0.7 53.1 0.0 85.7 0.6 259.4 53.1
S. Cooney-Williams S. Cooney-Williams - 1 0.0 6.0 2.0 2.0 1.0 0.0 2.0 11.0 -2.0 - - - 18.2 0.0 66.7 - 24.4 18.2
K. Patrick K. Patrick - 1 0.0 6.0 5.0 1.0 2.0 0.0 3.0 7.0 4.0 - - - 42.9 0.0 0 - 42.9 42.9
E. Shoushtari E. Shoushtari - 1 0.0 6.0 5.0 3.0 1.0 0.0 7.0 7.0 1.0 - - - 14.3 0.0 57.1 - 29.8 14.3
C. Willis C. Willis G 15 31.5 5.9 3.8 4.7 0.9 0.1 1.6 1.6 12.2 -12 -0.8 -1.2 33.3 25.0 61.1 0.2 139.4 35.4
M. De Freitas M. De Freitas C 30 19.5 2.7 4.7 0.7 0.6 0.9 1.0 0.4 8.2 -43 -1.4 -3.1 45.5 0 44.4 0.16 270.7 45.5
A. Russell A. Russell G 28 13.5 2.7 1.6 0.4 0.3 0.0 0.9 0.3 3.9 -54 -1.9 -4.6 37.5 40.0 0 -0.05 475.0 50.0
A. Mills A. Mills G 24 10.4 2.4 0.6 0.7 0.2 0.0 1.1 0.6 2.2 -28 -1.2 -3.5 35.7 30.0 50.0 0.23 184.0 46.4
K. Brockway K. Brockway - 1 0.0 2.0 2.0 0.0 0.0 5.0 3.0 5.0 1.0 - - - 20.0 0 0 - 20.0 20.0
M. Kramer M. Kramer F 5 10.0 1.8 0.8 0.0 0.0 0.0 0.4 0.8 1.4 -15 -3.0 -7.2 25.0 0.0 0 -0.25 112.5 25.0
J. Maehlen J. Maehlen C 21 10.1 1.5 1.7 0.0 0.1 0.3 0.3 0.3 3.0 -53 -2.5 -8.1 100.0 0 33.3 -0.4 166.0 100.0
M. Ochenje M. Ochenje F 11 4.5 0.9 0.9 0.0 0.0 0.0 0.2 0.3 1.4 -39 -3.5 -15.7 33.3 0 0 -0.36 166.7 33.3
A. Stevens A. Stevens G 5 2.0 0.8 0.0 0.0 0.0 0.0 0.0 0.2 0.6 - - - 100.0 0 0 -0.34 200.0 100.0

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