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Creighton Bluejays

Also known as: Creighton Bluejays
Program History

2015 Team Stats (9 games)

60.4
PPG
66.9
Opp
-6.5
Margin
39.4%
FG%
31.6%
3P%
69.9%
FT%
33.8
RPG
12.0
APG
11.8
TO
71.4
Pace

Model Outputs

2014-2015
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 → 1574 (#45) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1560 (#30) -
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +37.4 (#28) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.552 (#31) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -10.3 More → 0.238 (#49) NetEff -10.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +15.6 More → 0.858 (#17) AdjNet +15.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +16.0 More → 0.862 (#17) AdjNet +16.0

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-19 vs Oklahoma Sooners W 65 - 63
2015-01-03 @ Georgetown Hoyas L 61 - 76
2015-01-10 vs Seton Hall Pirates L 67 - 68
2015-01-25 @ Villanova Wildcats L 50 - 71
2015-01-31 vs Georgetown Hoyas L 40 - 67
2015-02-16 vs Butler Bulldogs L 56 - 58
2015-03-03 vs Villanova Wildcats L 72 - 76
2015-03-11 @ DePaul Blue Demons W 78 - 63
2015-03-12 @ Georgetown Hoyas L 55 - 60

2015 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. Chatman A. Chatman G 9 32.6 11.3 3.6 2.9 0.6 0.1 1.8 9.4 7.2 - - - 30.6 30.0 77.6 - 47.9 37.6
J. Milliken J. Milliken G 9 30.4 11.0 3.1 1.9 0.7 0.0 1.4 9.1 6.1 - - - 42.7 37.1 72.7 - 54.0 50.6
D. Brooks D. Brooks G 9 22.7 8.4 5.2 2.7 0.9 0.1 2.4 7.7 7.2 - - - 39.1 33.3 63.0 - 47.0 42.8
R. Kreklow R. Kreklow G 9 24.0 6.6 3.0 1.6 0.4 0.2 1.1 5.4 5.2 - - - 38.8 32.3 78.6 - 53.5 49.0
I. Zierden I. Zierden G 3 27.0 6.3 1.3 0.7 1.3 0.3 0.7 7.0 2.3 - - - 28.6 29.4 100.0 - 43.4 40.5
W. Artino W. Artino C 9 17.4 4.6 5.1 0.3 0.7 0.8 0.6 3.7 7.2 - - - 51.5 0 35.0 - 49.0 51.5
A. Dingman A. Dingman G 8 19.6 4.5 2.2 1.1 0.2 0.5 1.0 3.6 4.0 - - - 31.0 36.8 78.6 - 51.2 43.1
T. Hegner T. Hegner F 9 16.0 4.0 3.2 0.2 0.2 0.2 0.8 3.7 3.4 - - - 33.3 25.0 88.9 - 48.7 42.4
G. Groselle G. Groselle C 9 12.2 3.9 1.6 0.4 0.3 0.7 1.1 2.7 3.1 - - - 66.7 0 75.0 - 67.9 66.7
Z. Hanson Z. Hanson C 8 10.0 3.6 1.8 0.1 0.2 0.5 0.9 2.5 2.9 - - - 60.0 0 83.3 - 64.0 60.0
L. Gilmore III L. Gilmore III F 2 5.5 3.0 1.0 0.0 0.0 0.0 0.0 1.5 2.5 -17 -1.1 -1.3 33.3 50.0 75.0 0.98 63.0 50.0
T. Clement T. Clement G 7 8.6 0.6 1.0 0.9 0.1 0.0 0.6 0.9 1.1 - - - 16.7 0.0 40.0 - 24.4 16.7
M. Oginni M. Oginni F 4 1.8 0.5 0.5 0.0 0.0 0.0 0.0 0.8 0.2 - - - 33.3 0 0 - 33.3 33.3
G. Connealy G. Connealy F 4 1.5 0.0 0.5 0.0 0.0 0.0 0.0 0.5 0.0 - - - 0.0 0.0 0 - 0.0 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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