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DePaul

Also known as: DePaul Blue Demons, DePaul
Program History

2013 Team Stats (6 games)

67.2
PPG
75.3
Opp
-3.9
Margin
42.4%
FG%
34.4%
3P%
68.6%
FT%
28.5
RPG
13.2
APG
13.0
TO
79.5
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 → 1439 (#95) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1396 (#89) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 880 (#569) HCA +147 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 849 (#579) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +25.4 (#135) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +7.3 (#189) HCA +3.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -9.8 (#456) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.429 (#68) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -22.5 More → 0.079 (#231) NetEff -22.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +2.2 More → 0.563 (#53) AdjNet +2.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.0 More → 0.558 (#56) AdjNet +2.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.5 | AdjD 74.9 More → 0.403 (#517) AdjO 70.5 | AdjD 74.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.6 | AdjD 71.6 More → 0.269 (#583) AdjO 60.6 | AdjD 71.6
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 → 0.608 (#212) Blend of Elo, BT, Margin, PythLog, PtsOD
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 → 0.254 (#477) 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 → 0.557 (#228) 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 → 0.236 (#527) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 140 | GP 32 More → 954 (#255) RD 140 | GP 32
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 156 | GP 28 More → 748 (#580) RD 156 | GP 28

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 vs UC Riverside Highlanders W 91 - 59
2012-11-15 vs Gardner-Webb Runnin' Bulldogs L 59 - 71
2012-11-17 vs Austin Peay Governors W 98 - 67
2012-11-20 vs Wichita State Shockers L 62 - 75
2012-11-21 vs Western Kentucky Hilltoppers L 61 - 70
2012-11-27 vs Fairfield Stags W 85 - 78
2012-11-30 @ Auburn Tigers W 80 - 76
2012-12-05 @ Chicago State Cougars W 74 - 64
2012-12-09 vs Milwaukee Panthers W 84 - 50
2012-12-12 @ Arizona State Sun Devils W 78 - 61
2012-12-16 vs Northern Illinois Huskies W 69 - 64
2012-12-22 vs UMBC Retrievers W 69 - 61
2012-12-29 vs Loyola Chicago Ramblers L 61 - 69
2013-01-02 vs Seton Hall Pirates L 72 - 73
2013-01-05 @ Providence Friars W 83 - 73
2013-01-08 @ UConn Huskies L 78 - 99
2013-01-15 vs Cincinnati Bearcats L 70 - 75
2013-01-19 vs St. John's Red Storm L 62 - 71
2013-01-26 @ Pittsburgh Panthers L 55 - 93
2013-01-30 @ St. John's Red Storm L 74 - 79
2013-02-02 vs Notre Dame Fighting Irish L 71 - 79
2013-02-05 vs Villanova Wildcats L 71 - 94
2013-02-09 @ Marquette Golden Eagles L 78 - 89
2013-02-13 @ Notre Dame Fighting Irish L 78 - 82
2013-02-16 vs Rutgers Scarlet Knights W 75 - 69
2013-02-20 @ Georgetown Hoyas L 66 - 90
2013-02-23 vs UConn Huskies L 69 - 81
2013-02-27 vs Louisville Cardinals L 58 - 79
2013-03-03 @ South Florida Bulls L 73 - 83
2013-03-06 @ Syracuse Orange L 57 - 78
2013-03-09 vs Pittsburgh Panthers L 66 - 81
2013-03-12 @ Rutgers Scarlet Knights L 57 - 76

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%
B. Young B. Young G 32 31.5 16.7 3.3 4.6 1.5 0.2 2.7 4.5 19.2 104 3.4 5.3 42.7 32.4 68.7 1.27 149.0 46.5
C. Melvin C. Melvin F 32 31.1 16.6 6.8 0.8 1.2 0.8 2.2 5.2 18.7 -48 -1.5 -2.1 42.9 20.0 60.0 0.89 146.5 43.8
J. Crockett J. Crockett F 28 22.9 8.7 3.6 1.2 1.0 0.4 1.4 3.8 9.7 -96 -3.4 -6.1 34.9 29.5 70.8 0.03 104.2 41.0
W. Clahar W. Clahar G 32 24.8 7.3 3.5 3.3 1.3 0.1 2.1 2.0 11.4 -43 -1.3 -2.1 39.1 17.4 71.4 0.15 153.3 42.2
D. Kirk D. Kirk F 31 25.5 6.2 3.9 0.5 0.4 1.6 0.7 2.1 9.7 -54 -1.7 -3.0 50.8 53.8 60.0 0.0 138.3 56.2
M. Morgan M. Morgan F 29 18.9 5.9 2.3 1.0 0.6 0.3 1.2 2.0 7.0 20 0.6 1.4 29.8 31.6 83.3 0.34 144.2 40.4
C. McKinney C. McKinney G 30 20.0 5.3 2.5 1.5 1.1 0.2 1.5 1.9 7.2 -4 -0.1 -0.3 46.4 33.3 60.0 0.09 122.7 50.0
D. McDonald D. McDonald G 32 11.1 2.9 0.9 0.7 0.6 0.0 1.2 0.7 3.3 -127 -4.0 -14.6 47.8 50.0 0 -1.48 202.2 54.3
D. Robertson D. Robertson C 32 13.0 1.9 2.6 0.1 0.2 0.5 0.6 0.4 4.3 2 0.1 0.2 33.3 0.0 66.7 0.55 225.2 33.3
M. Clemons M. Clemons F 18 5.3 1.4 1.2 0.1 0.0 0.2 0.6 0.8 1.3 95 3.1 6.8 46.7 0.0 100.0 0.04 76.6 46.7
P. Ryckbosch P. Ryckbosch F 16 5.2 1.1 1.2 0.1 0.2 0.1 0.2 0.1 2.3 -36 -2.1 -15.6 100.0 0 25.0 -0.35 226.1 100.0
E. McGhee E. McGhee G 18 6.0 0.9 1.1 0.6 0.6 0.0 0.3 0.6 2.3 -6 -0.3 -1.7 20.0 20.0 66.7 0.14 75.1 25.0
J. Price J. Price G 8 2.4 0.4 0.2 0.1 0.1 0.0 0.5 0.1 0.2 -36 -1.3 -3.3 0.0 0.0 0 0.2 150.0 0.0
S. Pirri S. Pirri F 9 1.2 0.3 0.1 0.0 0.0 0.0 0.0 0.0 0.4 - - - 0 0 0 - 0 0
C. Dolins C. Dolins G 8 1.9 0.0 0.0 0.4 0.0 0.0 0.2 0.0 0.1 - - - 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