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Kansas State

Also known as: Kansas State Wildcats, Kansas State
Program History

2014 Team Stats (13 games)

70.6
PPG
71.5
Opp
-0.8
Margin
44.1%
FG%
36.6%
3P%
70.7%
FT%
33.5
RPG
13.9
APG
11.5
TO
-
Est. poss./game
69.3
Adj PPG
59.2
Adj Opp PPG
#45
Scoring Rank

Model Outputs

2013-2014
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 โ†’ 1150 (#67) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1177 (#58) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More โ†’ 1018 (#146) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ +11.1 (#45) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +10.6 (#42) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.652 (#85) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +18.1 More โ†’ 0.889 (#36) AdjNet +18.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +18.2 More โ†’ 0.892 (#35) AdjNet +18.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.3 | AdjD 59.2 More โ†’ 0.715 (#45) AdjO 69.3 | AdjD 59.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.8 | AdjD 63.5 More โ†’ 0.618 (#64) AdjO 68.8 | AdjD 63.5
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 โ†’ 0.753 (#48) 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 โ†’ 0.736 (#54) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 111 | GP 33 More โ†’ 1199 (#51) RD 111 | GP 33

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-08 vs Northern Colorado Bears L 58 - 60
2013-11-13 vs Oral Roberts Golden Eagles W 71 - 63
2013-11-17 vs Long Beach State Beach W 71 - 58
2013-11-21 vs Charlotte 49ers L 61 - 68
2013-11-22 @ Georgetown Hoyas L 63 - 90
2013-11-24 @ Long Beach State Beach W 52 - 38
2013-12-01 vs Central Arkansas Bears W 87 - 54
2013-12-05 vs Ole Miss Rebels W 61 - 58
2013-12-10 vs South Dakota Coyotes W 64 - 62
2013-12-15 vs Troy Trojans W 72 - 43
2013-12-21 vs Gonzaga Bulldogs W 72 - 62
2013-12-28 vs Tulane Green Wave W 72 - 41
2013-12-31 vs George Washington Revolutionaries W 72 - 55
2014-01-04 vs Oklahoma State Cowboys W 74 - 71
2014-01-07 @ TCU Horned Frogs W 65 - 47
2014-01-11 @ Kansas Jayhawks L 60 - 86
2014-01-14 vs Oklahoma Sooners W 72 - 66
2014-01-18 vs West Virginia Mountaineers W 78 - 56
2014-01-21 @ Texas Longhorns L 64 - 67
2014-01-25 @ Iowa State Cyclones L 75 - 81
2014-01-28 vs Texas Tech Red Raiders W 66 - 58
2014-02-01 @ West Virginia Mountaineers L 71 - 81
2014-02-08 vs Texas Longhorns W 74 - 57
2014-02-10 vs Kansas Jayhawks W 85 - 82
2014-02-15 @ Baylor Bears L 73 - 87
2014-02-19 vs TCU Horned Frogs W 65 - 53
2014-02-22 @ Oklahoma Sooners L 73 - 86
2014-02-25 @ Texas Tech Red Raiders W 60 - 56
2014-03-01 vs Iowa State Cyclones W 80 - 73
2014-03-03 @ Oklahoma State Cowboys L 61 - 77
2014-03-08 vs Baylor Bears L 74 - 76
2014-03-13 @ Iowa State Cyclones L 85 - 91
2014-03-21 @ Kentucky Wildcats L 49 - 56

2014 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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Marcus Foster Marcus Foster G 29 29.9 16.0 3.4 2.4 0.6 0.2 2.3 5.5 14.9 74 29 2.6 3.8 45.0 42.1 75.9 -1.77 126.3 55.0
Thomas Gipson Thomas Gipson F 27 26.6 11.4 6.5 0.4 0.4 0.5 2.2 4.1 12.9 134 27 5.0 7.9 51.8 0 69.4 3.53 115.7 51.8
Shane Southwell Shane Southwell G 28 27.1 8.9 4.1 2.8 0.8 1.1 1.6 4.0 12.0 153 28 5.5 8.8 38.1 34.0 80.0 2.87 98.3 46.0
Will Spradling Will Spradling G 29 30.0 7.9 2.9 2.8 1.2 0.0 1.1 2.4 11.4 152 29 5.2 7.7 42.9 40.0 71.4 4.38 139.1 58.6
Wesley Iwundu Wesley Iwundu F 29 23.9 6.8 4.2 1.8 0.5 0.3 1.3 2.3 10.1 106 29 3.7 6.5 42.6 42.9 68.9 2.25 112.8 44.9
Nino Williams Nino Williams F 29 15.2 5.8 3.1 0.6 0.4 0.1 0.8 1.8 7.5 -18 29 -0.6 -1.7 45.1 0 82.8 -2.49 131.7 45.1
Nigel Johnson Nigel Johnson G 26 13.9 4.0 1.4 1.7 0.7 0.0 0.8 1.4 5.6 13 26 0.5 1.7 38.9 25.0 91.7 -1.68 126.0 45.8
Omari Lawrence Omari Lawrence G 29 12.7 3.3 1.9 0.8 0.6 0.2 0.7 1.1 4.9 43 29 1.5 5.1 35.5 0.0 53.3 1.32 126.3 35.5
D.J. Johnson D.J. Johnson F 29 13.8 3.2 3.4 0.1 0.3 0.6 0.7 0.9 6.0 -7 29 -0.2 -0.8 73.1 0 53.8 -1.74 148.2 73.1
John David Thomas John David Thomas G 18 15.1 2.7 2.0 2.1 0.4 0.0 1.2 2.4 3.7 18 18 1.0 2.6 32.6 33.3 45.5 0.37 45.6 34.9
Ryan Schultz Ryan Schultz F 11 2.5 0.9 0.5 0.2 0.3 0.0 0.5 0.0 1.5 -9 11 -0.8 -12.1 0 0 0 -2.21 0 0
Brian Rohleder Brian Rohleder G 12 1.8 0.2 0.2 0.1 0.1 0.0 0.1 0.0 0.4 -5 12 -0.4 -8.2 0 0 0 -0.88 0 0
Shawn Meyer Shawn Meyer G 9 1.2 0.1 0.3 0.0 0.0 0.0 0.1 0.0 0.3 -3 10 -0.3 -9.0 0 0 0 -1.12 0 0
Jack Karapetyan Jack Karapetyan F 5 3.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -1 5 -0.2 -2.4 0 0 0 -0.92 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