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Creighton Bluejays

Also known as: Creighton Bluejays
Program History

2013 Team Stats (23 games)

74.5
PPG
63.2
Opp
+11.2
Margin
49.1%
FG%
41.9%
3P%
77.0%
FT%
36.1
RPG
16.9
APG
12.0
TO
73.0
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 → 1600 (#42) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1556 (#28) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 1101 (#52) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +36.9 (#28) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +20.8 (#32) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.825 (#7) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +17.1 More → 0.868 (#19) NetEff +17.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +14.8 More → 0.846 (#16) AdjNet +14.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +14.9 More → 0.849 (#16) AdjNet +14.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.9 | AdjD 59.7 More → 0.677 (#43) AdjO 67.9 | AdjD 59.7
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 → 0.901 (#28) 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 → 0.877 (#31) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 107 | GP 37 More → 1301 (#23) RD 107 | GP 37

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 vs North Texas Mean Green W 71 - 51
2012-11-14 vs UAB Blazers W 77 - 60
2012-11-18 vs Presbyterian Blue Hose W 87 - 58
2012-11-20 vs Longwood Lancers W 105 - 57
2012-11-23 @ Wisconsin Badgers W 84 - 74
2012-11-24 @ Arizona State Sun Devils W 87 - 73
2012-11-28 vs Boise State Broncos L 70 - 83
2012-12-01 vs Saint Joseph's Hawks W 80 - 51
2012-12-06 @ Nebraska Cornhuskers W 64 - 42
2012-12-09 vs Akron Zips W 77 - 61
2012-12-15 @ California Golden Bears W 74 - 64
2012-12-19 vs Tulsa Golden Hurricane W 71 - 54
2012-12-29 vs Evansville Purple Aces W 87 - 70
2013-01-02 @ Illinois State Redbirds W 79 - 72
2013-01-05 vs Indiana State Sycamores W 79 - 66
2013-01-08 vs Drake Bulldogs W 91 - 61
2013-01-11 @ Missouri State Bears W 74 - 52
2013-01-15 vs Northern Iowa Panthers W 79 - 68
2013-01-19 @ Wichita State Shockers L 64 - 67
2013-01-23 @ Drake Bulldogs L 69 - 74
2013-01-27 @ Southern Illinois Salukis W 81 - 51
2013-01-30 vs Missouri State Bears W 91 - 77
2013-02-02 vs Bradley Braves W 75 - 58
2013-02-06 @ Indiana State Sycamores L 57 - 76
2013-02-09 vs Illinois State Redbirds L 72 - 75
2013-02-13 @ Northern Iowa Panthers L 54 - 61
2013-02-16 @ Evansville Purple Aces W 71 - 68
2013-02-19 vs Southern Illinois Salukis W 59 - 45
2013-02-23 @ Saint Mary's Gaels L 66 - 74
2013-02-27 @ Bradley Braves W 80 - 62
2013-03-02 vs Wichita State Shockers W 91 - 79
2013-03-08 vs Drake Bulldogs W 65 - 53
2013-03-09 vs Indiana State Sycamores W 64 - 43
2013-03-10 vs Wichita State Shockers W 68 - 65
2013-03-22 vs Cincinnati Bearcats W 67 - 63
2013-03-24 @ Duke Blue Devils L 50 - 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%
D. McDermott D. McDermott F 36 31.6 23.2 7.7 1.6 0.2 0.1 2.6 9.9 20.2 - - - 52.2 45.4 88.7 1.64 98.8 59.1
G. Echenique G. Echenique C 36 22.9 9.7 6.6 0.4 0.6 1.7 1.3 4.2 13.5 158 4.4 9.3 63.3 0 63.6 0.54 97.5 63.3
G. Gibbs G. Gibbs G 36 30.8 8.5 4.1 5.8 0.9 0.2 2.2 4.2 13.2 367 10.2 16.2 50.3 47.2 69.4 2.82 88.7 56.0
E. Wragge E. Wragge F 36 16.2 7.7 2.6 0.4 0.3 0.2 0.3 3.8 7.0 254 7.1 13.8 44.9 44.1 94.1 1.04 96.2 65.4
A. Chatman A. Chatman G 36 32.0 7.4 2.6 4.2 0.8 0.0 2.1 4.4 8.5 388 10.8 14.1 37.7 44.1 78.7 2.21 74.3 45.9
J. Jones J. Jones G 8 19.6 7.0 2.4 1.2 1.1 0.0 0.8 2.6 8.4 166 5.5 17.3 47.6 41.7 100.0 0.93 123.0 59.5
J. Manigat J. Manigat G 36 27.9 5.9 2.1 2.3 0.8 0.1 1.4 3.7 6.0 268 7.4 12.0 42.5 36.7 50.0 1.35 75.6 54.9
W. Artino W. Artino C 33 7.9 3.9 2.5 0.4 0.3 0.2 0.4 1.2 5.8 123 3.7 14.4 63.2 0 63.2 1.05 139.1 63.2
A. Dingman A. Dingman G 36 13.8 3.7 2.3 0.6 0.2 0.0 0.6 2.4 3.9 141 3.9 8.8 42.4 41.0 77.8 0.12 74.8 57.1
N. Johnson N. Johnson G 24 6.6 2.2 1.0 0.2 0.0 0.0 0.4 1.1 2.0 302 8.6 11.6 50.0 33.3 75.0 2.28 88.1 57.7
A. Yates A. Yates G 28 5.3 1.1 0.5 0.6 0.3 0.1 0.8 0.9 1.0 -20 -0.7 -4.3 25.0 0.0 50.0 -0.5 51.2 25.0
A. Olsen A. Olsen F 15 2.2 0.9 0.4 0.0 0.1 0.0 0.1 0.1 1.3 2 0.1 1.5 0.0 0.0 100.0 -0.18 243.1 0.0
G. Groselle G. Groselle C 17 2.8 0.5 0.7 0.1 0.1 0.0 0.2 0.1 1.1 -21 -1.2 -9.9 50.0 0 25.0 -0.68 119.7 50.0
M. Oginni M. Oginni F 10 1.8 0.4 0.3 0.1 0.0 0.0 0.0 0.0 0.8 - - - 0 0 0 - 0 0
J. Kelling J. Kelling G 9 1.7 0.4 0.1 0.4 0.0 0.1 0.2 0.2 0.7 - - - 100.0 0 0.0 - 82.0 100.0
T. Stormberg T. Stormberg G 23 2.5 0.2 0.1 0.3 0.1 0.0 0.1 0.1 0.6 4 0.2 1.6 100.0 100.0 0 -0.22 125.0 125.0

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