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Purdue Fort Wayne

Also known as: Purdue Fort Wayne Mastodons
Program History

2022 Team Stats (4 games)

59.0
PPG
69.2
Opp
+5.0
Margin
39.5%
FG%
34.3%
3P%
69.2%
FT%
32.3
RPG
12.8
APG
14.5
TO
72.7
Pace

Model Outputs

2021-2022
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 → 1141 (#180) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1150 (#198) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More → 1132 (#33) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → +21.1 (#208) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More → +11.4 (#182) HCA +2.4
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +1.9 More → 0.561 (#105) NetEff +1.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.8 | AdjD 67.2 More → 0.604 (#123) AdjO 71.8 | AdjD 67.2
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 → 0.744 (#162) 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 → 0.729 (#150) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 142 | GP 31 More → 1134 (#116) RD 142 | GP 31

2022 Schedule & Results

2022 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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
J. Godfrey J. Godfrey - 31 33.4 15.1 4.7 4.0 1.8 0.2 2.5 4.6 18.7 120 3.6 4.4 41.7 35.7 82.2 0.36 143.2 50.3
J. Pipkins J. Pipkins G 4 32.0 11.5 3.2 2.0 2.5 0.2 3.0 11.0 5.5 169 5.1 6.8 38.6 23.1 90.0 1.31 47.5 42.0
D. Chong Qui D. Chong Qui - 31 31.4 10.3 2.0 3.5 1.1 0.1 2.1 3.1 11.7 - - - 38.1 35.9 83.3 0.26 144.7 45.4
D. Billups D. Billups - 31 23.4 9.0 3.3 1.2 1.2 0.4 1.4 2.7 11.0 121 3.8 6.5 39.8 43.6 56.2 0.85 154.9 54.2
B. Planutis B. Planutis - 31 24.1 8.6 3.5 0.8 0.6 0.3 0.9 2.4 10.5 77 2.3 3.9 45.2 35.7 100.0 0.17 173.8 58.9
Ra Kpedi Ra Kpedi - 31 26.5 8.3 6.3 0.5 0.7 0.5 0.8 1.8 13.7 - - - 69.6 0 73.0 1.02 178.5 69.6
J. Peterson J. Peterson - 31 14.8 3.6 2.1 1.3 0.9 0.2 1.2 1.4 5.5 - - - 38.6 29.6 50.0 0.6 116.8 47.7
Johnathan Dejurnett Johnathan Dejurnett - 29 8.6 2.7 1.3 0.1 0.5 0.3 0.3 0.6 4.0 41 1.4 5.7 66.7 0 53.3 0.22 156.5 66.7
C. Benford C. Benford F 4 3.8 0.0 0.8 0.0 0.2 0.0 0.2 0.0 0.8 -3 -0.1 -0.6 0 0 0 -0.61 0 0
J. Walker J. Walker - 3 2.7 0.0 0.3 0.3 0.3 0.0 0.0 0.7 0.3 309 8.6 11.6 0.0 0 0 1.46 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