🐻⬇️🏀

Iowa

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Iowa Hawkeyes, Iowa
Program History
Coach: Fran McCaffery

2017 Team Stats (5 games)

74.8
PPG
76.6
Opp
-1.8
Margin
45.2%
FG%
41.6%
3P%
64.4%
FT%
35.8
RPG
16.6
APG
13.6
TO
-
Est. poss./game
81.6
Adj PPG
73.9
Adj Opp PPG
#71
Scoring Rank

Model Outputs

2016-2017
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 → 1223 (#59) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1114 (#84) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More → 1026 (#137) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More → +8.7 (#69) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More → +9.0 (#67) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.589 (#117) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +13.0 More → 0.817 (#69) AdjNet +13.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +13.1 More → 0.820 (#69) AdjNet +13.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 81.6 | AdjD 73.9 More → 0.669 (#71) AdjO 81.6 | AdjD 73.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 79.3 | AdjD 75.5 More → 0.587 (#93) AdjO 79.3 | AdjD 75.5
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 → 0.706 (#67) 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 → 0.691 (#68) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 104 | GP 34 More → 1152 (#67) RD 104 | GP 34

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 vs Kennesaw State Owls W 91 - 74
2016-11-13 vs Savannah State Tigers W 116 - 84
2016-11-17 vs Seton Hall Pirates L 83 - 91
2016-11-20 vs UT Rio Grande Valley Vaqueros W 95 - 67
2016-11-25 vs Virginia Cavaliers L 41 - 74
2016-11-26 @ Memphis Tigers L 92 - 100
2016-11-29 @ Notre Dame Fighting Irish L 78 - 92
2016-12-03 vs Omaha Mavericks L 89 - 98
2016-12-05 vs Stetson Hatters W 95 - 68
2016-12-08 vs Iowa State Cyclones W 78 - 64
2016-12-17 vs Northern Iowa Panthers W 69 - 46
2016-12-20 vs North Dakota Fighting Hawks W 84 - 73
2016-12-22 vs Delaware State Hornets W 89 - 57
2016-12-28 @ Purdue Boilermakers L 67 - 89
2017-01-01 vs Michigan Wolverines W 86 - 83
2017-01-05 @ Nebraska Cornhuskers L 90 - 93
2017-01-08 vs Rutgers Scarlet Knights W 68 - 62
2017-01-12 vs Purdue Boilermakers W 83 - 78
2017-01-15 @ Northwestern Wildcats L 54 - 89
2017-01-19 vs Maryland Terrapins L 76 - 84
2017-01-25 @ Illinois Fighting Illini L 64 - 76
2017-01-28 vs Ohio State Buckeyes W 85 - 72
2017-01-31 @ Rutgers Scarlet Knights W 83 - 63
2017-02-05 vs Nebraska Cornhuskers W 81 - 70
2017-02-08 @ Minnesota Golden Gophers L 89 - 101
2017-02-11 @ Michigan State Spartans L 66 - 77
2017-02-18 vs Illinois Fighting Illini L 66 - 70
2017-02-21 vs Indiana Hoosiers W 96 - 90
2017-02-25 @ Maryland Terrapins W 83 - 69
2017-03-02 @ Wisconsin Badgers W 59 - 57
2017-03-05 vs Penn State Nittany Lions W 90 - 79
2017-03-09 vs Indiana Hoosiers L 73 - 95
2017-03-15 vs South Dakota Coyotes W 87 - 75
2017-03-19 vs TCU Horned Frogs L 92 - 94

2017 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%
Peter Jok Peter Jok G 22 29.5 19.0 5.8 2.7 1.0 0.1 2.5 3.4 22.8 23 25 0.9 1.3 40.5 42.9 89.5 2.67 254.4 50.7
Tyler Cook Tyler Cook - 19 22.8 12.6 5.2 0.9 0.7 0.3 2.3 2.7 14.7 -29 20 -1.4 -2.8 55.8 0 60.0 0.17 189.7 55.8
Jordan Bohannon Jordan Bohannon G 23 29.4 12.3 2.1 5.9 0.9 0.0 2.2 2.9 16.2 -52 26 -2.0 -2.9 44.8 48.0 90.0 -2.22 198.9 62.7
Cordell Pemsl Cordell Pemsl F 23 18.7 9.6 4.9 1.1 0.7 0.7 1.6 1.7 13.6 -36 26 -1.4 -3.3 60.0 0 53.8 0.44 240.6 60.0
Nicholas Baer Nicholas Baer F 23 24.1 8.0 6.0 2.1 1.8 1.2 0.7 1.7 16.7 84 26 3.2 5.9 55.3 59.1 50.0 5.29 221.6 72.4
Isaiah Moss Isaiah Moss G 23 16.0 6.2 1.5 1.0 0.6 0.3 1.1 1.7 6.8 -36 26 -1.4 -3.5 32.5 18.2 66.7 -0.33 171.8 35.0
Brady Ellingson Brady Ellingson G 23 13.6 4.7 1.0 1.2 0.3 0.0 0.4 0.7 6.0 -49 26 -1.9 -6.6 25.0 40.0 0 -4.18 334.4 37.5
Ahmad Wagner Ahmad Wagner F 23 14.1 4.0 3.2 1.1 0.7 0.3 0.8 0.9 7.6 -14 26 -0.5 -1.5 50.0 0 70.0 -0.84 186.5 50.0
Dom Uhl Dom Uhl F 21 13.0 3.0 2.9 1.0 0.1 0.4 0.8 0.2 6.4 72 24 3.0 10.0 25.0 0.0 0 3.58 787.5 25.0
Ryan Kriener Ryan Kriener F 20 8.1 2.5 2.0 0.5 0.2 0.3 0.7 0.6 4.2 51 21 2.4 11.3 41.7 0 0 3.44 204.2 41.7
Christian Williams Christian Williams G 23 11.2 2.2 2.0 1.5 0.6 0.0 0.9 0.3 5.1 30 26 1.2 4.6 42.9 0 50.0 -0.7 291.1 42.9
Maishe Dailey Maishe Dailey G 9 7.0 1.9 1.1 0.2 0.4 0.1 0.4 0.0 3.3 2 6 0.3 2.0 0 0 0 -0.69 0 0
Dale Jones Dale Jones F 4 3.8 0.8 1.0 0.2 0.0 0.0 0.5 1.2 0.2 - - - - 20.0 20.0 0 -1.61 30.0 30.0
Charlie Rose Charlie Rose F 5 1.4 0.4 0.0 0.0 0.0 0.0 0.0 0.0 0.4 - - - - 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