Purdue Boilermakers
2015 Team Stats (8 games)
63.1
PPG
64.4
Opp
-1.2
Margin
43.0%
FG%
26.7%
3P%
68.3%
FT%
34.8
RPG
13.0
APG
11.3
TO
-
Est. poss./game
70.8
Adj PPG
59.5
Adj Opp PPG
#31
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 | 1249 (#36) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1172 (#55) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1056 (#95) | HCA +90 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +12.2 (#30) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +10.5 (#37) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.712 (#62) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.903 (#33) | AdjNet +19.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.908 (#31) | AdjNet +19.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.736 (#31) | AdjO 70.8 | AdjD 59.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.626 (#53) | AdjO 67.4 | AdjD 61.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.783 (#38) | 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 | 0.765 (#39) | 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 | 1208 (#44) | RD 111 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A.J. Hammons
|
C | 33 | 24.4 | 11.9 | 6.6 | 0.9 | 0.5 | 2.8 | 2.1 | 2.8 | 17.8 | 97 | 27 | 3.6 | 6.6 | 60.6 | 0.0 | 70.8 | 4.78 | 170.7 | 60.6 |
Rapheal Davis
|
G | 33 | 31.3 | 10.7 | 4.1 | 2.6 | 0.8 | 0.2 | 1.9 | 3.5 | 13.0 | 97 | 27 | 3.6 | 5.3 | 45.2 | 41.9 | 77.0 | 3.09 | 124.1 | 50.9 |
Jon Octeus
|
G | 33 | 28.6 | 9.2 | 5.0 | 2.6 | 1.0 | 0.2 | 1.5 | 2.3 | 14.3 | 93 | 27 | 3.4 | 5.5 | 42.7 | 13.3 | 73.3 | 0.44 | 160.3 | 44.0 |
Kendall Stephens
|
G | 33 | 22.4 | 9.0 | 2.2 | 1.7 | 0.4 | 0.3 | 1.2 | 2.3 | 10.1 | 90 | 27 | 3.3 | 6.4 | 26.3 | 25.5 | 62.5 | 2.42 | 186.1 | 34.2 |
Vince Edwards
|
F | 32 | 27.1 | 8.8 | 4.8 | 2.7 | 0.4 | 0.4 | 1.5 | 2.4 | 13.2 | 112 | 27 | 4.1 | 6.7 | 43.4 | 27.8 | 85.7 | -0.74 | 171.6 | 50.0 |
Isaac Haas
|
C | 33 | 14.7 | 7.5 | 4.1 | 0.2 | 0.1 | 0.8 | 1.5 | 1.8 | 9.4 | 55 | 27 | 2.0 | 5.9 | 50.0 | 0 | 55.6 | 2.78 | 166.6 | 50.0 |
Dakota Mathias
|
- | 33 | 19.9 | 5.0 | 2.2 | 1.4 | 0.5 | 0.1 | 0.8 | 1.8 | 6.5 | 28 | 27 | 1.0 | 2.3 | 33.3 | 30.4 | 64.3 | 0.13 | 123.9 | 45.0 |
Bryson Scott
|
G | 24 | 10.6 | 3.4 | 1.5 | 1.2 | 0.7 | 0.1 | 1.1 | 0.7 | 5.1 | 33 | 22 | 1.5 | 6.0 | 35.3 | 0.0 | 62.5 | 1.75 | 168.5 | 35.3 |
Basil Smotherman
|
F | 33 | 12.8 | 2.6 | 1.8 | 0.9 | 0.5 | 0.2 | 0.5 | 0.9 | 4.6 | -45 | 26 | -1.7 | -6.0 | 56.7 | 25.0 | 50.0 | -5.17 | 131.7 | 60.0 |
Jacquil Taylor
|
F | 6 | 7.0 | 2.2 | 2.0 | 0.3 | 0.2 | 0.7 | 1.0 | 0.5 | 3.8 | 12 | 6 | 2.0 | 11.6 | 66.7 | 100.0 | 0 | -1.52 | 216.7 | 83.3 |
P.J. Thompson
|
G | 29 | 13.3 | 2.2 | 0.9 | 1.1 | 0.7 | 0.0 | 0.7 | 1.1 | 3.2 | -3 | 24 | -0.1 | -0.4 | 32.3 | 38.1 | 80.0 | -2.15 | 97.9 | 45.2 |
Anfernee Brown
|
G | 3 | 3.7 | 1.7 | 1.7 | 0.0 | 0.3 | 0.0 | 0.3 | 0.7 | 2.7 | - | - | - | - | 50.0 | 50.0 | 0 | -0.66 | 125.0 | 75.0 |
Stephen Toyra
|
G | 5 | 3.2 | 0.4 | 0.4 | 0.0 | 0.0 | 0.0 | 0.6 | 0.0 | 0.2 | - | - | - | - | 0 | 0 | 0 | -1.38 | 0 | 0 |
Neal Beshears
|
F | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Jon McKeeman
|
G | 5 | 2.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | -0.2 | - | - | - | - | 0 | 0 | 0 | -1.22 | 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