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Purdue Boilermakers

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Purdue Boilermakers
Program History

2012 Team Stats (27 games)

64.9
PPG
58.7
Opp
+6.2
Margin
40.0%
FG%
29.1%
3P%
72.4%
FT%
33.9
RPG
14.7
APG
0.0
TO
-
Est. poss./game
65.8
Adj PPG
50.8
Adj Opp PPG
#42
Scoring Rank

Model Outputs

2011-2012
Catalog

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 → 1395 (#19) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1270 (#30) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +78 elo More → 1099 (#55) HCA +78 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +16.5 (#42) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More → +15.8 (#39) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.764 (#68) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +25.9 More → 0.952 (#41) AdjNet +25.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +26.4 More → 0.955 (#41) AdjNet +26.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.8 | AdjD 50.8 More → 0.797 (#42) AdjO 65.8 | AdjD 50.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.0 | AdjD 58.0 More → 0.694 (#44) AdjO 67.0 | AdjD 58.0
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.856 (#33) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.842 (#35) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 111 | GP 33 More → 1270 (#27) RD 111 | GP 33

2012 Schedule & Results

Date Vs/At Opponent Result Score
2011-11-13 vs IU Indianapolis Jaguars W 75 - 45
2011-11-17 @ Bowling Green Falcons W 54 - 53
2011-11-20 vs UT Martin Skyhawks W 65 - 39
2011-11-22 vs Chicago State Cougars W 76 - 49
2011-11-24 vs Tulane Green Wave T 0 - 0
2011-12-01 @ Duke Blue Devils L 53 - 64
2011-12-04 vs Texas A&M Aggies W 60 - 51
2011-12-10 vs Notre Dame Fighting Irish L 38 - 66
2011-12-11 @ Central Michigan Chippewas L 62 - 75
2011-12-18 @ Auburn Tigers W 62 - 54
2011-12-20 vs Oakland Golden Grizzlies W 66 - 47
2011-12-22 vs Purdue Fort Wayne Mastodons W 73 - 36
2011-12-30 vs Minnesota Golden Gophers W 57 - 53
2012-01-02 @ Illinois Fighting Illini W 64 - 63
2012-01-05 vs Wisconsin Badgers W 63 - 52
2012-01-12 @ Minnesota Golden Gophers W 72 - 55
2012-01-15 vs Iowa Hawkeyes W 57 - 55
2012-01-19 @ Indiana Hoosiers W 82 - 60
2012-01-23 vs Michigan State Spartans W 67 - 49
2012-01-26 @ Northwestern Wildcats W 80 - 70
2012-01-28 @ Iowa Hawkeyes L 42 - 59
2012-02-02 vs Nebraska Cornhuskers L 89 - 93
2012-02-05 vs Illinois Fighting Illini W 77 - 66
2012-02-12 @ Ohio State Buckeyes L 71 - 80
2012-02-16 vs Penn State Lady Lions L 63 - 74
2012-02-19 @ Michigan State Spartans L 52 - 67
2012-02-23 @ Michigan Wolverines W 60 - 49
2012-02-26 vs Indiana Hoosiers W 90 - 58
2012-03-02 vs Michigan State Spartans W 73 - 64
2012-03-03 @ Penn State Lady Lions W 68 - 66
2012-03-04 vs Nebraska Cornhuskers W 74 - 70
2012-03-17 vs South Dakota State Jackrabbits W 83 - 68
2012-03-19 vs South Carolina Gamecocks L 61 - 72

2012 Roster

Minutes by Position

Not enough player minute data to plot.

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%
B. Rayburn B. Rayburn NA 26 0.0 14.7 4.1 2.2 1.0 0.4 1.7 11.3 9.4 165 28 5.9 8.5 42.0 34.1 76.0 4.81 55.0 49.1
C. Moses C. Moses G 26 0.0 9.8 2.7 2.4 1.3 0.0 2.1 9.2 4.8 175 27 6.5 10.1 37.1 24.0 87.9 5.71 47.8 42.3
K. Houser K. Houser G 25 0.0 9.3 2.4 3.8 2.5 0.1 3.8 8.7 5.5 167 28 6.0 9.4 33.9 36.0 77.6 0.16 46.9 41.3
S. Ostarello S. Ostarello NA 27 0.0 8.4 8.1 1.5 1.0 1.3 2.0 7.3 10.9 166 28 5.9 9.9 48.5 0.0 63.0 4.17 51.0 48.5
A. Guyton A. Guyton NA 3 0.0 4.3 3.0 1.3 2.0 1.0 1.0 5.0 5.7 47 28 1.7 4.7 40.0 0 50.0 0.82 40.9 40.0
C. Poston C. Poston NA 1 0.0 4.0 5.0 1.0 1.0 0.0 2.0 3.0 6.0 59 28 2.1 5.5 33.3 0 50.0 1.69 42.0 33.3
C. Jones C. Jones NA 24 0.0 3.5 3.5 1.0 0.6 1.6 1.2 2.9 6.2 90 28 3.2 6.4 50.7 0 73.7 -0.82 54.3 50.7
D. Williams D. Williams G 3 0.0 0.7 1.7 0.7 0.7 0.3 1.7 1.7 0.7 -44 28 -1.6 -5.3 20.0 0 0 -4.51 20.0 20.0

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