Purdue Boilermakers
2013 Team Stats (9 games)
63.3
PPG
75.7
Opp
-12.3
Margin
41.2%
FG%
34.2%
3P%
65.5%
FT%
34.2
RPG
12.4
APG
12.6
TO
-
Est. poss./game
68.7
Adj PPG
61.9
Adj Opp PPG
#77
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 | 1230 (#60) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1056 (#131) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 980 (#202) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +7.6 (#73) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +8.7 (#63) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.551 (#140) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.842 (#57) | AdjNet +14.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.846 (#57) | AdjNet +14.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.649 (#77) | AdjO 68.7 | AdjD 61.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.591 (#86) | AdjO 69.4 | AdjD 65.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.689 (#75) | 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 | 0.678 (#75) | 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 | 1123 (#82) | RD 103 | GP 34 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Terone Johnson
|
G | 33 | 32.1 | 13.5 | 4.7 | 2.9 | 0.5 | 0.2 | 2.0 | 4.6 | 15.1 | -19 | 28 | -0.7 | -0.9 | 42.5 | 31.0 | 66.7 | 0.0 | 132.8 | 45.4 |
A.J. Hammons
|
C | 34 | 23.1 | 10.6 | 6.0 | 0.6 | 0.3 | 2.0 | 1.6 | 3.0 | 14.8 | 12 | 29 | 0.4 | 0.8 | 45.6 | 0 | 66.7 | 2.58 | 143.1 | 45.6 |
Ronnie Johnson
|
G | 34 | 31.2 | 10.3 | 3.4 | 4.1 | 1.0 | 0.1 | 2.6 | 3.4 | 12.9 | 27 | 29 | 0.9 | 1.2 | 33.3 | 33.3 | 52.6 | 3.43 | 130.9 | 34.6 |
D.J. Byrd
|
G-F | 34 | 30.8 | 10.1 | 4.1 | 2.7 | 0.9 | 0.2 | 1.7 | 2.5 | 13.8 | 3 | 29 | 0.1 | 0.1 | 41.2 | 43.8 | 77.8 | 1.87 | 192.8 | 57.6 |
Rapheal Davis
|
G | 34 | 18.9 | 5.7 | 3.9 | 0.9 | 0.5 | 0.2 | 1.2 | 1.4 | 8.6 | -38 | 29 | -1.3 | -2.8 | 43.5 | 28.6 | 58.6 | -1.41 | 165.9 | 47.8 |
Anthony Johnson
|
G | 34 | 18.0 | 4.9 | 2.9 | 1.2 | 0.2 | 0.0 | 1.0 | 1.6 | 6.6 | -76 | 29 | -2.6 | -6.3 | 34.5 | 16.7 | 88.9 | -3.34 | 142.5 | 36.4 |
Donnie Hale
|
F | 32 | 14.5 | 3.8 | 2.8 | 0.3 | 0.2 | 0.3 | 0.6 | 0.9 | 6.0 | -39 | 27 | -1.4 | -4.3 | 33.3 | 0 | 50.0 | -1.27 | 192.1 | 33.3 |
Sandi Marcius
|
F | 29 | 9.3 | 3.3 | 2.5 | 0.2 | 0.4 | 0.5 | 0.6 | 0.8 | 5.5 | 63 | 26 | 2.4 | 10.6 | 60.9 | 0 | 72.7 | 5.48 | 172.4 | 60.9 |
Jay Simpson
|
F | 10 | 7.6 | 2.6 | 2.3 | 0.2 | 0.3 | 0.6 | 0.5 | 0.0 | 5.5 | -6 | 7 | -0.9 | -4.8 | 0 | 0 | 0 | -1.58 | 0 | 0 |
Jack Lawson
|
F | 28 | 11.0 | 2.2 | 2.2 | 0.3 | 0.4 | 0.6 | 0.4 | 0.4 | 4.8 | -11 | 24 | -0.5 | -1.9 | 50.0 | 0 | 62.5 | -1.72 | 199.7 | 50.0 |
Travis Carroll
|
F | 33 | 8.3 | 1.8 | 1.6 | 0.2 | 0.2 | 0.4 | 0.2 | 0.2 | 3.8 | -43 | 28 | -1.5 | -7.8 | 37.5 | 0 | 60.0 | -0.21 | 299.0 | 37.5 |
Dru Anthrop
|
G | 21 | 9.1 | 1.0 | 1.3 | 0.8 | 0.6 | 0.0 | 0.6 | 0.1 | 2.9 | 25 | 18 | 1.4 | 6.7 | 0.0 | 0.0 | 50.0 | 0.17 | 210.1 | 0.0 |
Neal Beshears
|
F | 10 | 2.8 | 0.3 | 0.5 | 0.0 | 0.0 | 0.1 | 0.4 | 0.0 | 0.5 | 1 | 8 | 0.1 | 2.0 | 0 | 0 | 0 | -0.81 | 0 | 0 |
Stephen Toyra
|
G | 11 | 2.7 | 0.2 | 0.4 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | 12 | 9 | 1.3 | 19.1 | 0 | 0 | 0.0 | 0.86 | 227.3 | 0 |
J. Mckeeman
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 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