Purdue Boilermakers
2026 Team Stats (30 games)
69.4
PPG
72.2
Opp
-2.8
Margin
43.0%
FG%
33.2%
3P%
74.0%
FT%
34.4
RPG
15.2
APG
15.6
TO
70.9
Est. poss./game
72.7
Adj PPG
62.5
Adj Opp PPG
#72
Scoring Rank
Model Outputs
2025-2026
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 → | 1138 (#105) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1128 (#98) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 978 (#214) | HCA +106 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +11.8 (#66) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +8.6 (#82) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.388 (#212) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.388 (#212) | NetEff -3.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.882 (#69) | AdjNet +17.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.890 (#67) | AdjNet +17.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.717 (#72) | AdjO 72.7 | AdjD 62.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.501 (#165) | AdjO 67.1 | AdjD 67.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.702 (#97) | 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 → | 0.662 (#104) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1056 (#138) | RD 156 | GP 30 |
2026 Schedule & Results
2026 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tara Daye
|
G | 30 | 28.6 | 12.4 | 6.5 | 2.4 | 1.2 | 0.3 | 2.4 | 9.7 | 10.8 | -23 | 25 | -0.9 | -1.4 | 47.2 | 34.1 | 75.9 | 1.97 | 55.0 | 49.8 |
Kiki Smith
|
G | 30 | 26.4 | 10.7 | 2.3 | 2.2 | 1.2 | 0.2 | 1.7 | 9.4 | 5.5 | -24 | 25 | -1.0 | -1.5 | 39.9 | 34.0 | 83.1 | 0.71 | 52.4 | 48.6 |
Madison Layden-Zay
|
G | 25 | 34.7 | 10.2 | 3.7 | 3.3 | 1.7 | 0.5 | 2.2 | 9.2 | 8.1 | -27 | 20 | -1.4 | -1.6 | 36.2 | 35.2 | 85.0 | -1.29 | 51.9 | 48.5 |
Nya Smith
|
G | 30 | 23.9 | 8.0 | 3.3 | 2.1 | 0.9 | 0.2 | 1.7 | 8.2 | 4.7 | -65 | 25 | -2.6 | -4.6 | 35.1 | 27.3 | 85.7 | 0.25 | 45.7 | 41.8 |
Lana McCarthy
|
F | 27 | 17.2 | 7.8 | 4.7 | 1.0 | 0.7 | 0.6 | 2.4 | 5.9 | 6.5 | 20 | 24 | 0.8 | 2.1 | 57.5 | 0.0 | 60.5 | 3.08 | 58.7 | 57.5 |
Hila Karsh
|
G | 30 | 25.9 | 6.9 | 1.9 | 2.4 | 0.7 | 0.1 | 1.6 | 7.4 | 3.0 | 16 | 25 | 0.6 | 1.1 | 35.7 | 30.3 | 93.8 | 3.36 | 45.2 | 43.2 |
Kendall Puryear
|
F | 30 | 16.0 | 6.6 | 3.2 | 0.4 | 0.4 | 0.3 | 1.3 | 5.0 | 4.7 | -40 | 25 | -1.6 | -4.3 | 54.0 | 0 | 58.1 | -1.55 | 55.8 | 54.0 |
Taylor Feldman
|
G | 7 | 16.7 | 6.3 | 2.4 | 2.0 | 0.3 | 0.3 | 1.4 | 5.9 | 4.0 | 21 | 6 | 3.5 | 9.8 | 34.1 | 42.1 | 80.0 | 1.1 | 48.5 | 43.9 |
Avery Gordon
|
F | 27 | 8.7 | 4.7 | 2.1 | 0.1 | 0.3 | 0.6 | 0.5 | 3.6 | 3.7 | -18 | 22 | -0.8 | -4.6 | 53.1 | 0 | 59.5 | -3.36 | 55.1 | 53.1 |
McKenna Layden
|
G | 28 | 17.4 | 2.7 | 2.1 | 1.2 | 0.5 | 0.1 | 1.2 | 1.9 | 3.5 | 13 | 24 | 0.5 | 1.4 | 45.3 | 44.0 | 71.4 | 4.5 | 66.9 | 66.0 |
Saige Stahl
|
F | 24 | 10.3 | 1.2 | 2.9 | 0.4 | 0.5 | 0.0 | 0.6 | 1.0 | 3.4 | -22 | 20 | -1.1 | -4.7 | 41.7 | 0.0 | 81.8 | -1.87 | 50.3 | 41.7 |
Carley Barrett
|
G | 5 | 1.4 | 1.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.6 | 0.6 | - | - | - | - | 66.7 | 50.0 | 0 | -1.74 | 83.3 | 83.3 |
Taylor Henderson
|
G | 0 | - | 0.0 | 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
Alumni in the Pros
Former Purdue Boilermakers players in WNBA 2026, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last Purdue Boilermakers game count. These are observed results, not certified complete seasons. League and team are where each player last played a regular-season or playoff game (NBA ahead of G League when he played in both); recent games include the preseason.
Alumni around the leagues: recent games
| Date | Player | League | Team | Opponent | MIN | PTS | REB | AST | Box |
|---|---|---|---|---|---|---|---|---|---|
| 2026-05-02 | K. Traylor | WNBA Preseason | Indiana Fever | vs NIGERIA | 11 | 5 | 1 | 1 | Box |
| 2026-04-30 | K. Traylor | WNBA Preseason | Indiana Fever | vs Dallas Wings | 11 | 8 | 0 | 0 | Box |
| 2026-04-27 | Ra Shaya Kyle | WNBA Preseason | Minnesota Lynx | vs Nigeria | 4 | 0 | 1 | 0 | Box |
| 2026-04-25 | Ra Shaya Kyle | WNBA Preseason | Minnesota Lynx | @ Washington Mystics | 13 | 5 | 4 | 2 | Box |
| 2026-04-25 | K. Traylor | WNBA Preseason | Indiana Fever | @ New York Liberty | 13 | 9 | 0 | 1 | Box |
2025-2026 Shot Zones
1794 located field-goal attempts in 30 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).
Tara DayeKiki SmithMadison Layden-ZayNya SmithHila KarshKendall PuryearMcKenna Layden
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 241-365 | 66.0 | 482 | Tara Daye 26% (124 pts) | Lana McCarthy 24% (118 pts) | Tara Daye 25% (31 misses) | Lana McCarthy 19% (23 misses) |
| Paint (non-RA) | 217-530 | 40.9 | 434 | Kendall Puryear 21% (90 pts) | Tara Daye 19% (82 pts) | Tara Daye 21% (67 misses) | Kendall Puryear 15% (47 misses) |
| Mid-range left | 30-80 | 37.5 | 60 | Tara Daye 40% (24 pts) | Madison Layden-Zay 20% (12 pts) | Madison Layden-Zay 24% (12 misses) | Tara Daye 18% (9 misses) |
| Mid-range center | 27-62 | 43.5 | 54 | Kendall Puryear 22% (12 pts) | Nya Smith 22% (12 pts) | Hila Karsh 20% (7 misses) | Nya Smith 20% (7 misses) |
| Mid-range right | 40-104 | 38.5 | 80 | Nya Smith 22% (18 pts) | Kendall Puryear 18% (14 pts) | Madison Layden-Zay 19% (12 misses) | Tara Daye 17% (11 misses) |
| Left corner 3 | 20-47 | 42.6 | 60 | Kiki Smith 30% (18 pts) | Nya Smith 20% (12 pts) | Kiki Smith 37% (10 misses) | Nya Smith 26% (7 misses) |
| Right corner 3 | 20-43 | 46.5 | 60 | McKenna Layden 25% (15 pts) | Madison Layden-Zay 20% (12 pts) | Madison Layden-Zay 26% (6 misses) | Hila Karsh 22% (5 misses) |
| Above-break 3 left | 72-242 | 29.8 | 216 | Kiki Smith 33% (72 pts) | Madison Layden-Zay 29% (63 pts) | Madison Layden-Zay 28% (48 misses) | Kiki Smith 24% (40 misses) |
| Above-break 3 center | 28-98 | 28.6 | 84 | Madison Layden-Zay 36% (30 pts) | Kiki Smith 21% (18 pts) | Hila Karsh 24% (17 misses) | Nya Smith 24% (17 misses) |
| Above-break 3 right | 77-223 | 34.5 | 231 | Hila Karsh 23% (54 pts) | Madison Layden-Zay 23% (54 pts) | Kiki Smith 23% (33 misses) | Nya Smith 22% (32 misses) |