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Iowa State

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Iowa State Cyclones, Iowa State
Program History
Coach: Steve Prohm

2016 Team Stats (28 games)

81.5
PPG
76.2
Opp
+5.3
Margin
50.1%
FG%
39.6%
3P%
72.4%
FT%
34.4
RPG
16.5
APG
11.2
TO
-
Est. poss./game
85.1
Adj PPG
70.5
Adj Opp PPG
#25
Scoring Rank

Model Outputs

2015-2016
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 → 1293 (#35) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1251 (#23) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More → 1071 (#83) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +15.8 (#24) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +14.1 (#28) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.730 (#62) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +22.2 More → 0.929 (#25) AdjNet +22.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +22.5 More → 0.930 (#25) AdjNet +22.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 85.1 | AdjD 70.5 More → 0.790 (#25) AdjO 85.1 | AdjD 70.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 81.7 | AdjD 72.7 More → 0.694 (#32) AdjO 81.7 | AdjD 72.7
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 → 0.813 (#30) 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 → 0.797 (#32) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 95 | GP 35 More → 1234 (#37) RD 95 | GP 35

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 vs Colorado Buffaloes W 68 - 62
2015-11-16 vs Chicago State Cougars W 106 - 64
2015-11-23 vs Chattanooga Mocs W 83 - 63
2015-11-27 vs Virginia Tech Hokies W 99 - 77
2015-11-28 @ Illinois Fighting Illini W 84 - 73
2015-12-01 vs North Dakota State Bison W 84 - 64
2015-12-07 vs Buffalo Bulls W 84 - 63
2015-12-10 vs Iowa Hawkeyes W 83 - 82
2015-12-13 vs Arkansas-Pine Bluff Golden Lions W 78 - 64
2015-12-19 vs Northern Iowa Panthers L 79 - 81
2015-12-22 @ Cincinnati Bearcats W 81 - 79
2015-12-30 vs Coppin State Eagles W 104 - 84
2016-01-02 @ Oklahoma Sooners L 83 - 87
2016-01-06 vs Texas Tech Red Raiders W 76 - 69
2016-01-09 vs Baylor Bears L 89 - 94
2016-01-12 @ Texas Longhorns L 91 - 94
2016-01-16 @ Kansas State Wildcats W 76 - 63
2016-01-18 vs Oklahoma Sooners W 82 - 77
2016-01-23 @ TCU Horned Frogs W 73 - 60
2016-01-25 vs Kansas Jayhawks W 85 - 72
2016-01-30 @ Texas A&M Aggies L 62 - 72
2016-02-02 vs West Virginia Mountaineers L 76 - 81
2016-02-06 @ Oklahoma State Cowboys W 64 - 59
2016-02-10 @ Texas Tech Red Raiders L 82 - 85
2016-02-13 vs Texas Longhorns W 85 - 75
2016-02-16 @ Baylor Bears L 91 - 100
2016-02-20 vs TCU Horned Frogs W 92 - 83
2016-02-22 @ West Virginia Mountaineers L 87 - 97
2016-02-27 vs Kansas State Wildcats W 80 - 61
2016-02-29 vs Oklahoma State Cowboys W 58 - 50
2016-03-05 @ Kansas Jayhawks L 78 - 85
2016-03-10 @ Oklahoma Sooners L 76 - 79
2016-03-17 vs Iona Gaels W 94 - 81
2016-03-19 vs Little Rock Trojans W 78 - 61
2016-03-25 @ Virginia Cavaliers L 71 - 84

2016 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%
Georges Niang Georges Niang F 35 33.2 20.5 6.2 3.3 0.9 0.6 2.6 13.0 16.0 212 30 7.1 9.2 55.3 39.2 78.4 4.24 72.3 60.7
Monte Morris Monte Morris G 35 38.0 13.8 3.9 6.9 1.8 0.3 1.6 9.5 15.5 180 30 6.0 6.8 48.8 36.2 76.5 3.35 65.5 53.9
Abdel Nader Abdel Nader F 35 31.1 12.9 5.0 1.5 1.1 0.7 2.3 8.2 10.7 151 30 5.0 7.0 46.7 37.8 75.0 1.11 69.0 55.1
Nazareth Mitrou-Long Nazareth Mitrou-Long G 8 31.6 12.0 2.9 1.9 0.6 0.2 2.1 5.9 9.6 64 6 10.7 13.8 29.8 16.7 0.0 -0.41 100.3 35.1
Jameel McKay Jameel McKay F 32 30.5 11.1 8.8 0.9 0.5 1.7 1.5 5.8 15.8 113 27 4.2 6.0 58.7 0 58.2 0.09 78.2 58.7
D. Thomas D. Thomas G 35 33.6 11.0 4.4 1.7 0.8 0.2 1.2 7.5 9.5 163 30 5.4 7.0 45.2 44.1 92.3 2.62 68.5 61.0
Deonte Burton Deonte Burton G 26 18.8 9.7 3.9 1.0 0.9 0.6 1.2 6.7 8.2 -5 23 -0.2 -0.5 53.7 48.6 63.5 -1.65 62.2 58.6
Hallice Cooke Hallice Cooke G 32 10.9 2.6 1.0 0.9 0.3 0.1 0.6 1.8 2.6 23 26 0.9 3.3 35.7 32.5 57.1 -0.22 71.1 47.3
Jordan Ashton Jordan Ashton G 24 7.9 1.0 0.7 0.2 0.2 0.0 0.2 1.0 0.9 16 19 0.8 4.2 29.2 23.5 0 -0.95 47.9 37.5
Simeon Carter Simeon Carter F 15 2.7 0.7 0.4 0.0 0.0 0.1 0.1 0.5 0.7 -5 11 -0.5 -6.5 57.1 0 0 -1.57 71.4 57.1
Brady Ernst Brady Ernst F 6 2.3 0.3 0.7 0.0 0.0 0.2 0.0 0.2 1.0 - - - - 0.0 0 0 -0.9 100.0 0.0
Stuart Nezlek Stuart Nezlek C 7 1.3 0.3 0.1 0.0 0.0 0.0 0.4 0.3 -0.3 0 5 0.0 0.0 50.0 0 0 -1.41 50.0 50.0

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