Iowa
2013 Team Stats (7 games)
64.7
PPG
72.0
Opp
-7.3
Margin
39.7%
FG%
26.0%
3P%
66.2%
FT%
35.7
RPG
14.9
APG
13.3
TO
-
Est. poss./game
72.1
Adj PPG
60.2
Adj Opp PPG
#32
Scoring Rank
Model Outputs
2012-2013
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 | 1339 (#27) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1182 (#56) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1085 (#66) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +12.8 (#31) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +13.7 (#24) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.776 (#47) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.920 (#24) | AdjNet +21.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.923 (#23) | AdjNet +21.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.747 (#32) | AdjO 72.1 | AdjD 60.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.686 (#32) | AdjO 69.1 | AdjD 60.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.814 (#28) | 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 | 0.804 (#27) | 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 | 1230 (#36) | RD 88 | GP 37 |
2013 Schedule & Results
2013 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Marble
|
G | 35 | 30.3 | 14.4 | 3.8 | 3.1 | 1.2 | 0.2 | 2.2 | 3.9 | 16.5 | 215 | 30 | 7.2 | 9.9 | 37.0 | 28.8 | 80.0 | 3.03 | 159.4 | 42.4 |
Aaron White
|
F | 36 | 29.2 | 13.1 | 6.0 | 1.3 | 1.1 | 0.6 | 1.6 | 3.4 | 17.1 | 173 | 31 | 5.6 | 8.1 | 47.2 | 17.4 | 68.4 | 1.48 | 150.5 | 48.8 |
Mike Gesell
|
G | 32 | 25.5 | 8.4 | 2.7 | 2.7 | 1.2 | 0.3 | 1.7 | 3.1 | 10.4 | 214 | 27 | 7.9 | 14.1 | 35.0 | 23.1 | 81.5 | 3.88 | 119.8 | 39.5 |
Melsahn Basabe
|
F | 36 | 18.7 | 7.0 | 5.2 | 0.4 | 0.4 | 1.2 | 0.9 | 2.0 | 11.4 | 52 | 31 | 1.7 | 4.1 | 50.7 | 0.0 | 57.1 | -1.03 | 157.7 | 50.7 |
Zach McCabe
|
F | 36 | 15.5 | 5.7 | 3.7 | 1.2 | 0.8 | 0.1 | 1.1 | 1.8 | 8.7 | 97 | 31 | 3.1 | 9.0 | 47.7 | 31.4 | 73.7 | 2.56 | 140.4 | 56.2 |
Eric May
|
G-F | 36 | 21.3 | 5.1 | 3.7 | 1.6 | 0.9 | 0.2 | 0.6 | 1.4 | 9.4 | 100 | 31 | 3.2 | 6.3 | 44.0 | 30.8 | 88.9 | 1.35 | 169.6 | 48.0 |
Adam Woodbury
|
C | 36 | 16.4 | 4.9 | 4.9 | 0.6 | 0.4 | 0.8 | 1.3 | 1.5 | 8.8 | 151 | 31 | 4.9 | 12.2 | 54.5 | 0 | 40.0 | 4.32 | 149.8 | 54.5 |
Josh Oglesby
|
G | 35 | 16.4 | 4.5 | 1.4 | 1.0 | 0.3 | 0.1 | 0.5 | 1.9 | 4.9 | 23 | 30 | 0.8 | 2.1 | 24.2 | 22.8 | 100.0 | -1.69 | 117.3 | 34.1 |
Anthony Clemmons
|
G | 36 | 16.9 | 4.5 | 1.7 | 2.9 | 0.6 | 0.2 | 1.7 | 2.1 | 6.1 | 42 | 31 | 1.4 | 3.4 | 36.0 | 25.0 | 70.0 | -0.89 | 97.3 | 40.0 |
Gabriel Olaseni
|
C | 35 | 10.8 | 2.7 | 2.6 | 0.2 | 0.2 | 1.0 | 0.5 | 0.7 | 5.4 | 91 | 30 | 3.0 | 12.1 | 50.0 | 0 | 61.1 | 4.04 | 137.1 | 50.0 |
Patrick Ingram
|
G | 18 | 6.4 | 0.9 | 0.7 | 0.5 | 0.1 | 0.0 | 0.5 | 0.5 | 1.2 | -1 | 14 | -0.1 | -0.5 | 44.4 | 0.0 | 37.5 | -2.87 | 67.9 | 44.4 |
Darius Stokes
|
F | 11 | 3.5 | 0.7 | 1.4 | 0.1 | 0.0 | 0.2 | 0.5 | 0.3 | 1.5 | 0 | 7 | 0.0 | 0.0 | 33.3 | 0.0 | 50.0 | -1.37 | 103.1 | 33.3 |
Kyle Denning
|
G | 11 | 2.1 | 0.5 | 0.1 | 0.3 | 0.1 | 0.0 | 0.2 | 0.3 | 0.5 | -4 | 7 | -0.6 | -10.2 | 66.7 | 66.7 | 0 | -1.77 | 100.0 | 100.0 |
Christopher Rickert
|
- | 11 | 1.8 | 0.5 | 0.6 | 0.1 | 0.0 | 0.0 | 0.0 | 0.2 | 1.1 | - | - | - | - | 100.0 | 0 | 0 | - | 150.0 | 100.0 |
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