๐Ÿปโฌ‡๏ธ๐Ÿ€

Purdue

Also known as: Purdue Boilermakers
Program History

2009 Team Stats (28 games)

65.6
PPG
59.1
Opp
+6.5
Margin
43.6%
FG%
36.5%
3P%
75.8%
FT%
32.3
RPG
14.9
APG
0.0
TO
-
Est. poss./game
69.4
Adj PPG
49.8
Adj Opp PPG
#20
Scoring Rank

Model Outputs

2008-2009
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 โ†’ 1537 (#7) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1306 (#23) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +85 elo More โ†’ 1158 (#17) HCA +85 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.2 More โ†’ +21.5 (#19) HCA +3.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +23.4 (#10) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.810 (#48) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +33.6 More โ†’ 0.980 (#17) AdjNet +33.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +34.2 More โ†’ 0.981 (#17) AdjNet +34.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.4 | AdjD 49.8 More โ†’ 0.856 (#20) AdjO 69.4 | AdjD 49.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.0 | AdjD 53.3 More โ†’ 0.792 (#15) AdjO 68.0 | AdjD 53.3
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 โ†’ 0.916 (#12) 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 โ†’ 0.909 (#13) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 95 | GP 36 More โ†’ 1330 (#14) RD 95 | GP 36

2009 Schedule & Results

Date Vs/At Opponent Result Score
2008-11-16 vs IU Indianapolis Jaguars W 80 - 44
2008-11-20 vs Portland Pilots W 70 - 50
2008-11-23 vs Oakland Golden Grizzlies W 68 - 40
2008-11-28 @ Stanford Cardinal L 70 - 78
2008-11-29 @ Hawai'i Rainbow Wahine W 90 - 74
2008-11-30 vs Prairie View A&M Lady Panthers W 65 - 51
2008-12-04 vs Maryland Terrapins L 59 - 70
2008-12-07 @ Notre Dame Fighting Irish L 51 - 62
2008-12-10 @ Valparaiso Beacons L 60 - 71
2008-12-13 vs Iona Gaels W 82 - 65
2008-12-22 @ Illinois Fighting Illini W 53 - 42
2008-12-28 @ Iowa Hawkeyes W 69 - 60
2009-01-01 vs Michigan State Spartans L 62 - 68
2009-01-05 vs Texas Longhorns W 66 - 55
2009-01-08 vs Iowa Hawkeyes W 60 - 49
2009-01-11 @ Northwestern Wildcats W 67 - 57
2009-01-15 vs Penn State Lady Lions W 59 - 48
2009-01-19 @ Indiana Hoosiers L 57 - 71
2009-01-22 vs Minnesota Golden Gophers W 56 - 43
2009-01-25 vs Ohio State Buckeyes L 60 - 71
2009-01-29 @ Wisconsin Badgers W 52 - 51
2009-02-01 vs Northwestern Wildcats W 70 - 44
2009-02-05 @ Ohio State Buckeyes L 47 - 59
2009-02-08 vs Wisconsin Badgers W 66 - 49
2009-02-12 @ Minnesota Golden Gophers W 55 - 40
2009-02-15 vs Illinois Fighting Illini W 68 - 50
2009-02-19 @ Penn State Lady Lions W 69 - 51
2009-02-26 vs Michigan Wolverines W 70 - 53
2009-03-01 @ Michigan State Spartans L 55 - 57
2009-03-06 vs Indiana Hoosiers W 68 - 64
2009-03-07 vs Wisconsin Badgers W 70 - 56
2009-03-08 @ Ohio State Buckeyes L 66 - 67
2009-03-21 vs Charlotte 49ers W 65 - 52
2009-03-23 @ North Carolina Tar Heels W 85 - 70
2009-03-29 vs Rutgers Scarlet Knights W 67 - 61
2009-03-31 @ Oklahoma Sooners L 68 - 74

2009 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%
L. Wisdom-Hylton L. Wisdom-Hylton F 28 0.0 13.8 9.1 2.8 2.4 1.5 2.8 11.3 15.6 - - - - 50.2 33.3 69.9 - 53.8 50.5
L. Freeman L. Freeman F 28 0.0 11.5 3.7 2.3 1.1 0.2 2.1 9.7 7.0 - - - - 50.7 20.0 82.7 - 54.4 51.1
D. Campbell D. Campbell C 26 0.0 9.0 6.9 1.6 0.7 1.3 3.0 7.5 9.0 - - - - 41.0 50.0 82.6 - 50.2 41.8
F. Malone F. Malone G 21 0.0 7.7 2.1 4.1 2.1 0.0 3.4 6.4 6.2 - - - - 38.5 32.3 66.7 - 50.6 45.9
J. Howell J. Howell G 28 0.0 7.1 1.8 1.4 0.4 0.1 1.2 5.0 4.5 - - - - 44.0 45.7 82.5 - 63.1 59.2
B. Rayburn B. Rayburn NA 1 0.0 6.0 4.0 0.0 0.0 0.0 1.0 9.0 0.0 - - - - 22.2 0.0 66.7 - 29.1 22.2
N. Bogdanova N. Bogdanova F 2 0.0 4.0 4.5 0.5 0.5 0.5 1.5 4.0 4.5 - - - - 37.5 0.0 100.0 - 45.0 37.5
L. Mioton L. Mioton G 6 0.0 3.3 0.8 2.0 0.3 0.0 2.3 2.2 2.0 - - - - 53.8 71.4 33.3 - 69.8 73.1

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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