Iowa
2016 Team Stats (24 games)
76.3
PPG
71.0
Opp
+5.3
Margin
44.0%
FG%
37.2%
3P%
70.5%
FT%
37.5
RPG
15.3
APG
10.5
TO
-
Est. poss./game
79.4
Adj PPG
64.7
Adj Opp PPG
#23
Scoring Rank
Model Outputs
2015-2016
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 | 1319 (#28) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1222 (#40) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1036 (#118) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +15.8 (#23) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +11.4 (#50) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.786 (#39) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.932 (#21) | AdjNet +22.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.933 (#21) | AdjNet +22.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.791 (#23) | AdjO 79.4 | AdjD 64.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.641 (#57) | AdjO 74.6 | AdjD 68.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.803 (#34) | 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. More โ | 0.778 (#40) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1219 (#42) | RD 108 | GP 33 |
2016 Schedule & Results
2016 Roster
Minutes by Position
Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jarrod Uthoff
|
F | 31 | 32.0 | 19.0 | 6.3 | 1.2 | 0.9 | 2.5 | 1.1 | 12.0 | 16.9 | 150 | 28 | 5.4 | 7.6 | 43.0 | 37.0 | 80.3 | 1.44 | 69.3 | 49.7 |
Peter Jok
|
G | 30 | 28.7 | 16.5 | 3.7 | 1.5 | 1.3 | 0.0 | 1.5 | 9.8 | 11.7 | 129 | 27 | 4.8 | 7.7 | 44.7 | 41.5 | 83.0 | 3.44 | 74.3 | 55.1 |
Anthony Clemmons
|
G | 31 | 29.6 | 8.8 | 2.7 | 3.6 | 1.0 | 0.2 | 1.5 | 5.8 | 9.0 | 172 | 28 | 6.1 | 9.0 | 43.6 | 30.8 | 56.9 | 2.22 | 65.4 | 49.2 |
Mike Gesell
|
G | 31 | 30.2 | 8.5 | 3.1 | 6.1 | 1.2 | 0.2 | 2.0 | 5.5 | 11.7 | 169 | 28 | 6.0 | 9.0 | 36.5 | 32.4 | 77.3 | 2.35 | 64.8 | 39.7 |
Adam Woodbury
|
C | 31 | 25.5 | 7.6 | 8.4 | 0.9 | 0.5 | 0.3 | 1.4 | 3.7 | 12.6 | 79 | 28 | 2.8 | 4.9 | 53.4 | 0 | 66.1 | -1.1 | 82.4 | 53.4 |
Dale Jones
|
F | 5 | 13.6 | 6.0 | 2.8 | 0.6 | 0.2 | 0.4 | 0.8 | 3.0 | 6.2 | 5 | 5 | 1.0 | 3.7 | 53.3 | 66.7 | 0 | -1.16 | 100.0 | 73.3 |
Dom Uhl
|
F | 31 | 17.0 | 5.8 | 3.3 | 0.7 | 0.5 | 0.3 | 0.7 | 3.8 | 6.1 | 95 | 28 | 3.4 | 8.7 | 39.3 | 46.7 | 54.5 | 0.2 | 65.6 | 48.3 |
Nicholas Baer
|
F | 31 | 14.5 | 4.5 | 2.5 | 0.5 | 0.7 | 0.6 | 0.5 | 2.6 | 5.6 | 98 | 28 | 3.5 | 11.4 | 45.7 | 27.9 | 66.7 | 2.53 | 78.8 | 53.1 |
Brady Ellingson
|
G | 25 | 8.4 | 2.6 | 0.7 | 0.4 | 0.2 | 0.0 | 0.4 | 1.2 | 2.2 | 72 | 22 | 3.3 | 15.5 | 48.4 | 28.6 | 71.4 | 2.9 | 93.9 | 58.1 |
Ahmad Wagner
|
F | 30 | 9.9 | 2.3 | 2.4 | 0.1 | 0.3 | 0.3 | 0.4 | 1.2 | 3.8 | 41 | 27 | 1.5 | 6.9 | 65.7 | 0.0 | 50.0 | 0.29 | 73.2 | 65.7 |
Andrew Fleming
|
G | 10 | 6.6 | 1.7 | 0.8 | 1.0 | 0.0 | 0.1 | 0.8 | 1.0 | 1.8 | -2 | 7 | -0.3 | -1.4 | 30.0 | 16.7 | 0.0 | -2.55 | 72.3 | 35.0 |
Christian Williams
|
G | 17 | 5.4 | 1.6 | 0.8 | 0.4 | 0.2 | 0.0 | 0.3 | 1.4 | 1.3 | -47 | 13 | -3.6 | -25.4 | 37.5 | 40.0 | 71.4 | -5.16 | 49.9 | 41.7 |
Okey Ukah
|
F | 6 | 2.8 | 1.3 | 0.2 | 0.0 | 0.3 | 0.0 | 0.0 | 0.5 | 1.3 | -18 | 5 | -3.6 | -43.9 | 100.0 | 0 | 0 | -2.88 | 133.3 | 100.0 |
Michael Soukup
|
G | 5 | 2.6 | 0.0 | 0.2 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | - | - | - | - | 0 | 0 | 0.0 | -2.17 | 0.0 | 0 |
Steven Soukup
|
G | 5 | 2.4 | 0.0 | 0.8 | 0.2 | 0.0 | 0.0 | 0.0 | 0.4 | 0.6 | - | - | - | - | 0.0 | 0 | 0 | -2.18 | 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