Purdue Fort Wayne
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
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. More → | 1132 (#33) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +21.1 (#208) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.4 (#182) | HCA +2.4 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.561 (#105) | NetEff +1.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. 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. 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. 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. 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
|
- | 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
|
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
|
- | 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
|
- | 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
|
- | 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
|
- | 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
|
- | 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
|
- | 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
|
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
|
- | 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