Indiana
2013 Team Stats (29 games)
78.6
PPG
62.6
Opp
+16.0
Margin
48.4%
FG%
40.8%
3P%
74.7%
FT%
38.0
RPG
14.0
APG
13.3
TO
-
Est. poss./game
80.7
Adj PPG
58.7
Adj Opp PPG
#1
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 | 1375 (#19) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1348 (#6) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1123 (#30) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +23.2 (#1) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +18.9 (#5) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.938 (#4) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.983 (#3) | AdjNet +34.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.983 (#3) | AdjNet +35.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.881 (#1) | AdjO 80.7 | AdjD 58.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.763 (#6) | AdjO 73.4 | 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 | 0.903 (#4) | 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 | 0.887 (#7) | 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 | 1325 (#12) | RD 98 | GP 36 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cody Zeller
|
F | 36 | 29.5 | 16.5 | 8.1 | 1.3 | 1.0 | 1.2 | 2.2 | 8.8 | 17.1 | 402 | 33 | 12.2 | 17.5 | 57.1 | 0.0 | 77.3 | 4.82 | 71.4 | 57.1 |
Victor Oladipo
|
G | 36 | 28.4 | 13.6 | 6.3 | 2.1 | 2.2 | 0.8 | 2.3 | 7.6 | 15.1 | 384 | 33 | 11.6 | 17.4 | 60.4 | 46.6 | 76.3 | 3.69 | 75.6 | 65.4 |
Christian Watford
|
F | 36 | 27.9 | 12.3 | 6.2 | 0.9 | 0.6 | 0.5 | 1.6 | 7.2 | 11.7 | 311 | 33 | 9.4 | 14.1 | 43.6 | 48.2 | 81.5 | 1.22 | 68.5 | 54.1 |
Jordan Hulls
|
G | 36 | 28.8 | 9.7 | 2.3 | 3.0 | 0.8 | 0.0 | 1.2 | 6.2 | 8.4 | 406 | 33 | 12.3 | 18.0 | 44.0 | 44.5 | 77.3 | 4.22 | 71.2 | 59.3 |
Will Sheehey
|
F | 36 | 22.2 | 9.5 | 3.5 | 1.3 | 0.8 | 0.2 | 1.1 | 6.6 | 7.6 | 218 | 33 | 6.6 | 12.8 | 50.6 | 36.5 | 65.5 | 0.26 | 62.3 | 56.3 |
Yogi Ferrell
|
G | 36 | 28.1 | 7.6 | 2.8 | 4.1 | 0.8 | 0.2 | 2.1 | 5.7 | 7.6 | 360 | 33 | 10.9 | 16.5 | 40.8 | 31.0 | 78.3 | 2.79 | 57.5 | 46.1 |
Remy Abell
|
G | 36 | 12.5 | 4.0 | 1.5 | 0.9 | 0.3 | 0.0 | 0.8 | 2.4 | 3.6 | 133 | 33 | 4.0 | 13.6 | 41.2 | 37.0 | 75.0 | 0.4 | 70.2 | 47.1 |
Jeremy Hollowell
|
F | 33 | 9.7 | 2.8 | 2.1 | 0.3 | 0.2 | 0.4 | 0.9 | 1.9 | 2.9 | 114 | 30 | 3.8 | 17.5 | 40.6 | 25.0 | 60.0 | 2.47 | 60.2 | 45.3 |
Austin Etherington
|
F | 7 | 6.7 | 1.9 | 1.7 | 0.4 | 0.3 | 0.1 | 0.7 | 1.0 | 2.7 | 20 | 5 | 4.0 | 26.7 | 57.1 | 33.3 | 57.1 | 0.41 | 64.5 | 64.3 |
Maurice Creek
|
G | 24 | 7.8 | 1.8 | 0.9 | 0.4 | 0.3 | 0.1 | 0.2 | 1.9 | 1.3 | 33 | 20 | 1.6 | 9.4 | 32.6 | 35.7 | 80.0 | -2.01 | 45.6 | 43.5 |
Derek Elston
|
F | 19 | 6.3 | 1.1 | 0.8 | 0.2 | 0.2 | 0.2 | 0.4 | 1.1 | 1.1 | 35 | 18 | 1.9 | 13.2 | 28.6 | 22.2 | 70.0 | 1.04 | 41.3 | 33.3 |
Hanner Mosquera-Perea
|
F | 20 | 5.7 | 0.8 | 1.4 | 0.1 | 0.1 | 0.2 | 0.4 | 0.7 | 1.8 | 11 | 20 | 0.6 | 4.1 | 38.5 | 0 | 41.2 | -2.24 | 41.5 | 38.5 |
Raphael Smith
|
G | 11 | 1.6 | 0.4 | 0.5 | 0.0 | 0.1 | 0.0 | 0.3 | 0.3 | 0.4 | -5 | 10 | -0.5 | -13.0 | 66.7 | 0 | 0 | -1.66 | 66.7 | 66.7 |
Jeff Howard
|
F | 13 | 2.9 | 0.3 | 0.7 | 0.1 | 0.0 | 0.2 | 0.0 | 0.2 | 1.1 | -12 | 10 | -1.2 | -18.6 | 66.7 | 0 | 0.0 | -3.36 | 51.5 | 66.7 |
Taylor Wayer
|
G | 9 | 1.1 | 0.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.0 | -5 | 9 | -0.6 | -20.8 | 0.0 | 0 | 0 | -1.73 | 0.0 | 0.0 |
Peter Jurkin
|
C | 3 | 2.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | -0.3 | - | - | - | - | 0.0 | 0 | 0 | -1.96 | 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