Iowa
2014 Team Stats (26 games)
79.0
PPG
72.7
Opp
+6.3
Margin
45.5%
FG%
35.5%
3P%
73.2%
FT%
38.5
RPG
15.5
APG
11.5
TO
82.3
Pace
Model Outputs
2013-2014
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 → | 1558 (#50) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1574 (#25) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +38.6 (#22) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.645 (#23) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.648 (#21) | NetEff +5.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.826 (#24) | AdjNet +13.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.829 (#24) | AdjNet +13.7 |
2014 Schedule & Results
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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Marble
|
G | 26 | 31.5 | 17.7 | 3.2 | 3.4 | 1.7 | 0.3 | 2.0 | 14.0 | 10.2 | - | - | - | 41.5 | 37.4 | 70.3 | - | 52.9 | 47.8 |
A. White
|
F | 26 | 29.5 | 12.3 | 6.7 | 1.8 | 1.0 | 0.6 | 1.7 | 7.5 | 13.2 | -26 | -2.9 | -11.0 | 54.9 | 30.8 | 80.3 | -0.18 | 64.3 | 56.9 |
M. Gesell
|
G | 26 | 25.1 | 8.8 | 2.0 | 3.8 | 1.4 | 0.2 | 1.2 | 7.9 | 7.1 | - | - | - | 38.5 | 32.5 | 69.1 | - | 49.0 | 44.6 |
J. Uthoff
|
F | 26 | 17.4 | 7.0 | 3.8 | 0.8 | 0.3 | 0.8 | 0.9 | 4.8 | 7.1 | - | - | - | 48.8 | 41.9 | 78.7 | - | 60.3 | 54.0 |
J. Oglesby
|
G | 20 | 19.6 | 6.6 | 1.4 | 1.2 | 0.5 | 0.1 | 0.5 | 5.2 | 4.1 | - | - | - | 44.2 | 40.3 | 73.3 | - | 59.7 | 58.2 |
G. Olaseni
|
C | 26 | 17.1 | 6.5 | 5.1 | 0.5 | 0.3 | 1.2 | 0.7 | 4.0 | 8.8 | - | - | - | 53.3 | 0 | 74.4 | - | 61.0 | 53.3 |
M. Basabe
|
F | 25 | 17.8 | 6.4 | 5.6 | 0.3 | 0.4 | 0.8 | 1.2 | 4.7 | 7.7 | - | - | - | 53.8 | 100.0 | 68.0 | - | 57.9 | 54.3 |
A. Woodbury
|
C | 26 | 17.4 | 6.1 | 3.8 | 0.8 | 0.6 | 0.6 | 1.0 | 4.2 | 6.7 | - | - | - | 53.6 | 0 | 72.7 | - | 58.9 | 53.6 |
Z. McCabe
|
F | 26 | 15.6 | 5.3 | 2.7 | 1.3 | 0.6 | 0.0 | 0.8 | 5.0 | 4.0 | - | - | - | 35.1 | 29.0 | 76.3 | - | 47.0 | 42.0 |
P. Jok
|
G | 20 | 7.2 | 2.6 | 0.6 | 0.5 | 0.2 | 0.1 | 0.4 | 2.1 | 1.5 | - | - | - | 38.1 | 34.8 | 75.0 | - | 53.0 | 47.6 |
A. Clemmons
|
G | 25 | 10.2 | 1.7 | 1.0 | 1.4 | 0.2 | 0.0 | 1.0 | 1.2 | 2.3 | - | - | - | 44.8 | 40.0 | 56.5 | - | 55.0 | 51.7 |
K. Denning
|
G | 5 | 3.4 | 1.2 | 0.2 | 0.2 | 0.0 | 0.0 | 0.2 | 0.8 | 0.6 | - | - | - | 75.0 | 0.0 | 0 | - | 75.0 | 75.0 |
D. Stokes
|
F | 9 | 2.4 | 0.1 | 0.4 | 0.0 | 0.0 | 0.0 | 0.1 | 0.2 | 0.2 | - | - | - | 0.0 | 0 | 50.0 | - | 17.4 | 0.0 |
K. Meyer
|
C | 7 | 2.9 | 0.0 | 0.4 | 0.0 | 0.0 | 0.1 | 0.3 | 0.6 | -0.3 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
O. Ukah
|
F | 4 | 2.8 | 0.0 | 0.8 | 0.0 | 0.0 | 0.0 | 0.2 | 0.5 | 0.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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