Iowa
2015 Team Stats (10 games)
65.9
PPG
71.0
Opp
-5.1
Margin
42.1%
FG%
34.2%
3P%
72.2%
FT%
35.3
RPG
12.1
APG
10.8
TO
-
Est. poss./game
71.3
Adj PPG
57.8
Adj Opp PPG
#22
Scoring Rank
Model Outputs
2014-2015
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 | 1294 (#24) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1194 (#44) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1077 (#72) | HCA +90 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +14.6 (#22) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +14.8 (#13) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.785 (#31) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.937 (#21) | AdjNet +23.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.939 (#21) | AdjNet +23.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.774 (#22) | AdjO 71.3 | AdjD 57.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.706 (#16) | AdjO 69.7 | AdjD 60.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.826 (#21) | 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 | 0.816 (#20) | 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 | 1227 (#36) | RD 105 | GP 34 |
2015 Schedule & Results
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aaron White
|
F | 28 | 32.1 | 16.2 | 7.5 | 1.2 | 1.2 | 0.5 | 1.4 | 4.7 | 20.6 | 210 | 31 | 6.8 | 8.8 | 52.3 | 37.0 | 82.8 | 2.99 | 131.6 | 56.1 |
Jarrod Uthoff
|
F | 28 | 31.1 | 12.4 | 6.3 | 1.7 | 0.9 | 1.7 | 1.1 | 5.6 | 16.3 | 197 | 31 | 6.4 | 8.6 | 39.5 | 33.3 | 84.6 | 2.51 | 103.3 | 45.5 |
Mike Gesell
|
G | 28 | 26.6 | 7.8 | 2.2 | 4.4 | 1.0 | 0.1 | 1.9 | 4.2 | 9.3 | 161 | 31 | 5.2 | 8.2 | 42.0 | 26.9 | 65.2 | 2.47 | 84.4 | 45.0 |
Gabriel Olaseni
|
C | 28 | 17.8 | 7.1 | 4.6 | 0.3 | 0.2 | 1.4 | 1.1 | 2.4 | 10.1 | 126 | 31 | 4.1 | 9.1 | 44.1 | 0 | 69.8 | 2.81 | 115.0 | 44.1 |
Adam Woodbury
|
C | 28 | 21.5 | 6.8 | 5.3 | 1.0 | 0.6 | 0.4 | 1.3 | 2.4 | 10.4 | 98 | 31 | 3.2 | 6.4 | 56.1 | 0 | 60.6 | -0.23 | 117.4 | 56.1 |
Peter Jok
|
G | 28 | 19.8 | 6.7 | 2.4 | 1.3 | 0.5 | 0.1 | 1.1 | 3.6 | 6.2 | 103 | 31 | 3.3 | 6.9 | 38.6 | 40.5 | 90.9 | -0.17 | 88.3 | 47.0 |
Anthony Clemmons
|
G | 28 | 20.4 | 4.9 | 1.9 | 1.8 | 0.6 | 0.0 | 1.2 | 2.1 | 5.9 | 134 | 31 | 4.3 | 9.0 | 33.3 | 28.6 | 52.9 | 3.66 | 101.5 | 40.0 |
Josh Oglesby
|
G | 27 | 18.8 | 3.1 | 1.8 | 1.3 | 0.4 | 0.1 | 0.7 | 1.6 | 4.3 | 22 | 30 | 0.7 | 1.7 | 25.0 | 23.3 | 100.0 | -2.52 | 91.8 | 33.0 |
Trey Dickerson
|
G | 11 | 8.4 | 2.4 | 0.5 | 0.9 | 0.4 | 0.0 | 0.9 | 1.5 | 1.7 | 14 | 13 | 1.1 | 5.0 | 43.8 | 40.0 | 66.7 | -1.2 | 75.1 | 50.0 |
Dom Uhl
|
F | 27 | 9.3 | 1.7 | 1.7 | 0.3 | 0.2 | 0.1 | 0.7 | 0.9 | 2.6 | -15 | 30 | -0.5 | -2.3 | 21.7 | 0.0 | 50.0 | -3.05 | 91.7 | 21.7 |
Brady Ellingson
|
G | 6 | 4.2 | 1.2 | 0.0 | 0.3 | 0.2 | 0.0 | 0.2 | 0.7 | 0.8 | 12 | 6 | 2.0 | 20.0 | 50.0 | 66.7 | 0 | -0.23 | 87.5 | 75.0 |
Charlie Rose
|
F | 4 | 2.0 | 0.8 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1 | 6 | -0.2 | -3.7 | 0 | 0 | 0 | -0.6 | 0 | 0 |
Kyle Denning
|
G | 6 | 2.0 | 0.5 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.3 | 0.5 | 1 | 8 | 0.1 | 2.2 | 50.0 | 50.0 | 0 | 0.04 | 75.0 | 75.0 |
Okey Ukah
|
F | 6 | 2.2 | 0.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | -7 | 9 | -0.8 | -14.6 | 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