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Purdue

Season: 2027 2026 2025 2024 2023 2022 2021 2020 2019 2018
Also known as: Purdue Boilermakers
Program History
Coach: Sharon Versyp

2013 Team Stats (24 games)

67.3
PPG
61.0
Opp
+6.3
Margin
42.5%
FG%
34.2%
3P%
76.5%
FT%
34.3
RPG
16.1
APG
17.3
TO
-
Est. poss./game
70.3
Adj PPG
53.5
Adj Opp PPG
#29
Scoring Rank

Model Outputs

2012-2013
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 → 1417 (#20) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1307 (#22) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +72 elo More → 1105 (#51) HCA +72 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +18.3 (#29) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More → +19.1 (#23) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.760 (#69) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +28.7 More → 0.965 (#29) AdjNet +28.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +29.3 More → 0.967 (#29) AdjNet +29.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.3 | AdjD 53.5 More → 0.821 (#29) AdjO 70.3 | AdjD 53.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.8 | AdjD 56.4 More → 0.739 (#33) AdjO 67.8 | AdjD 56.4
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 → 0.877 (#26) 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 → 0.866 (#26) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 110 | GP 34 More → 1275 (#26) RD 110 | GP 34

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-10 vs South Carolina Upstate Spartans W 82 - 47
2012-11-17 @ SIU Edwardsville Cougars W 66 - 51
2012-11-19 vs Bowling Green Falcons W 59 - 45
2012-11-22 vs Marist Red Foxes W 72 - 50
2012-11-23 @ Wake Forest Demon Deacons W 67 - 53
2012-11-24 @ UConn Huskies L 57 - 91
2012-11-28 vs Georgia Tech Yellow Jackets W 83 - 73
2012-12-02 vs Central Michigan Chippewas W 87 - 71
2012-12-06 @ Purdue Fort Wayne Mastodons W 69 - 54
2012-12-09 @ UT Martin Skyhawks W 68 - 60
2012-12-16 @ Oakland Golden Grizzlies W 77 - 46
2012-12-21 vs IU Indianapolis Jaguars W 78 - 53
2012-12-29 @ Notre Dame Fighting Irish L 47 - 74
2013-01-02 @ Illinois Fighting Illini W 67 - 66
2013-01-05 @ Nebraska Cornhuskers W 69 - 66
2013-01-14 vs Ohio State Buckeyes W 82 - 75
2013-01-17 vs Minnesota Golden Gophers W 75 - 67
2013-01-20 @ Iowa Hawkeyes L 46 - 62
2013-01-24 vs Northwestern Wildcats W 77 - 73
2013-01-27 @ Michigan State Spartans W 67 - 62
2013-01-31 vs Indiana Hoosiers W 59 - 42
2013-02-04 @ Penn State Lady Lions L 61 - 69
2013-02-10 vs Michigan Wolverines L 56 - 67
2013-02-14 @ Wisconsin Badgers W 58 - 48
2013-02-17 vs Iowa Hawkeyes L 52 - 72
2013-02-20 @ Indiana Hoosiers L 61 - 62
2013-02-24 @ Minnesota Golden Gophers W 75 - 63
2013-02-28 vs Michigan State Spartans L 61 - 68
2013-03-03 vs Illinois Fighting Illini W 76 - 65
2013-03-08 vs Wisconsin Badgers W 74 - 62
2013-03-09 @ Nebraska Cornhuskers W 77 - 64
2013-03-10 vs Michigan State Spartans W 62 - 47
2013-03-24 vs Liberty Flames W 77 - 43
2013-03-26 vs Louisville Cardinals L 63 - 76

2013 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%
C. Moses C. Moses G 24 0.0 12.5 2.7 2.0 1.5 0.1 2.0 10.0 6.8 195 29 6.7 8.7 42.3 35.6 90.2 3.04 56.2 51.0
D. Mingo D. Mingo F 24 0.0 12.2 6.2 1.2 0.4 1.1 2.1 9.5 9.5 227 29 7.8 11.5 46.9 34.8 87.3 4.0 56.3 50.4
S. Ostarello S. Ostarello NA 23 0.0 10.9 10.7 2.0 1.5 1.6 2.4 9.0 15.3 178 29 6.1 8.7 49.0 11.1 71.6 1.89 53.3 49.3
K. Houser K. Houser G 24 0.0 10.5 4.0 5.1 2.0 0.0 4.1 10.1 7.5 203 29 7.0 9.5 34.7 32.5 72.3 3.57 46.7 42.6
C. Poston C. Poston NA 3 0.0 4.0 1.3 1.0 0.3 0.0 0.7 3.3 2.7 25 21 1.2 4.1 30.0 0.0 75.0 -0.78 44.4 30.0
D. Williams D. Williams G 21 0.0 3.7 2.2 2.3 0.3 0.2 1.6 3.7 3.5 136 29 4.7 8.0 36.4 40.0 73.7 0.75 45.7 41.6
C. Redmon C. Redmon C 1 0.0 1.0 2.0 0.0 0.0 1.0 2.0 2.0 0.0 -19 16 -1.2 -19.4 0.0 0 50.0 -2.43 17.4 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