🐻⬇️🏀

Sacramento State

Also known as: Sacramento State Hornets
Program History

2013 Team Stats (1 games)

71.0
PPG
65.7
Opp
-1.0
Margin
44.8%
FG%
35.7%
3P%
70.0%
FT%
44.0
RPG
15.0
APG
17.0
TO
83.8
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 → 1069 (#291) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1138 (#280) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 906 (#549) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +15.8 (#330) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -1.2 (#328) HCA +3.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +4.2 More → 0.622 (#71) NetEff +4.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.3 | AdjD 61.5 More → 0.428 (#475) AdjO 58.3 | AdjD 61.5
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 → 0.464 (#306) 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 → 0.439 (#319) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 132 | GP 30 More → 878 (#458) RD 132 | GP 30

2013 Schedule & Results

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%
J. Dickson J. Dickson F 29 27.4 12.8 5.7 0.8 0.8 0.9 1.6 2.0 17.6 15 0.5 0.8 47.4 35.0 73.7 0.28 283.8 53.5
M. McKinney M. McKinney G 29 30.5 12.3 3.3 2.6 1.2 0.1 2.1 1.7 15.8 -20 -0.6 -1.2 41.7 50.0 92.0 -0.61 302.5 49.0
D. Garrity D. Garrity G 28 33.8 11.6 2.6 5.1 0.9 0.0 2.3 1.0 16.9 15 0.5 0.7 50.0 35.7 66.7 0.26 508.4 58.9
K. Veteto K. Veteto C 28 23.4 10.2 5.9 0.2 0.2 0.2 1.9 1.7 13.1 -69 -2.5 -4.2 58.3 0.0 66.7 -0.76 249.0 58.3
J. Eberhard J. Eberhard G-F 29 32.1 6.9 5.2 1.3 0.5 0.2 0.8 1.3 12.0 -42 -1.4 -1.9 34.2 28.6 80.0 -0.43 234.7 39.5
J. Carbajal J. Carbajal G 24 10.8 3.3 1.9 0.6 0.4 0.0 0.5 0.3 5.4 13 0.5 1.7 14.3 0.0 0 0.1 571.4 14.3
C. Demps C. Demps - 29 13.8 3.0 1.8 0.6 0.2 0.1 0.7 0.4 4.7 -15 -0.5 -1.1 33.3 0.0 80.0 -0.12 306.3 33.3
D. Barlett D. Barlett G 12 4.9 2.2 0.6 0.1 0.1 0.1 0.2 0.0 2.8 -6 -0.5 -2.5 0 0 0 -0.02 0 0
J. Quigley J. Quigley F 29 10.8 2.1 1.9 0.3 0.3 0.5 0.4 0.4 4.4 16 0.6 1.8 25.0 100.0 100.0 0.38 236.8 29.2
J. Salley J. Salley F 25 8.0 2.0 1.4 0.1 0.2 0.2 0.5 0.0 3.4 -8 -0.3 -1.6 100.0 0 0 -0.06 2500.0 100.0
J. Demalleville J. Demalleville G 29 11.3 1.1 1.0 0.9 0.4 0.1 0.5 0.3 2.6 4 0.1 0.4 40.0 44.4 0.0 -0.12 153.3 60.0
K. Groom K. Groom G 7 3.0 0.4 0.6 0.4 0.1 0.0 0.1 0.0 1.4 0 0.0 0.0 0 0 0 -0.03 0 0
R. Okwudibonye R. Okwudibonye F 1 6.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - 0 0 0 - 0 0
C. Dempsey C. Dempsey G 1 7.0 0.0 0.0 0.0 0.0 0.0 2.0 1.0 -3.0 - - - 0.0 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