Analytics Lab
A public nerd cockpit for WNBA scouting.
Custom stat boards, percentiles, similarity search, shot diet, four-factor form, role maps, and development trends — built from public game logs, advanced box scores, and shot-location data.
Players
237
Teams
15
Trend teams
15
Shot profiles
251
01 · Player Stat Builder
Build the exact player table you want
Choose presets or hand-pick columns. This uses season-level public stats only; saved columns stay in your browser.
Column picker
Box
Efficiency
Shot mix
Creation
Defense
Advanced
Impact
| Player | ||||||||
|---|---|---|---|---|---|---|---|---|
| 16.2 | 5.8 | 77.3% | 21.2 | — | 16.3% | 82.4 | 23.5 | |
| 28.6 | 6.2 | 68.6% | 12.5 | 2.22 | 9.7% | 65.2 | 9.6 | |
| 16.8 | 12.2 | 68.4% | 12.3 | 2.18 | 27.0% | 21.0 | 37.0 | |
| 19.3 | 5.7 | 66.4% | 10.3 | 1.86 | 11.4% | 0.0 | 38.7 | |
| 22.2 | 8.0 | 66.3% | 10.2 | 1.85 | 13.1% | 69.8 | 33.5 | |
| 14.9 | 3.8 | 66.3% | 10.2 | — | 11.9% | 76.9 | 23.1 | |
| 15.0 | 6.5 | 65.4% | 9.3 | — | 14.5% | 73.7 | 10.5 | |
| 30.6 | 21.5 | 64.7% | 8.6 | 1.59 | 28.3% | 43.6 | 37.4 | |
| 15.1 | 7.9 | 64.7% | 8.6 | — | 19.9% | 42.9 | 48.6 | |
| 32.9 | 25.1 | 64.6% | 8.5 | 1.58 | 27.6% | 39.7 | 29.6 | |
| 24.1 | 13.1 | 64.5% | 8.4 | 1.56 | 20.0% | 39.5 | 21.4 | |
| 22.6 | 8.8 | 64.4% | 8.3 | 1.54 | 15.4% | 4.2 | 27.7 | |
| 24.3 | 11.7 | 64.2% | 8.1 | 1.51 | 18.2% | 2.8 | 46.7 | |
| 23.5 | 9.4 | 64.2% | 8.1 | 1.51 | 17.0% | 20.1 | 35.2 | |
| 17.3 | 8.3 | 64.0% | 7.9 | — | 19.6% | 6.3 | 50.0 | |
| 28.4 | 14.6 | 63.2% | 7.1 | 1.35 | 21.3% | 46.1 | 34.3 | |
| 29.0 | 14.9 | 62.8% | 6.7 | 1.29 | 21.5% | 3.7 | 36.1 | |
| 31.9 | 26.2 | 62.7% | 6.6 | 1.27 | 32.3% | 13.4 | 47.2 | |
| 14.1 | 3.3 | 62.7% | 6.6 | — | 9.2% | 39.3 | 25.0 | |
| 32.2 | 19.4 | 62.4% | 6.3 | 1.22 | 24.8% | 43.5 | 23.7 | |
| 13.6 | 6.2 | 62.3% | 6.2 | 1.21 | 17.6% | 44.2 | 16.6 | |
| 32.6 | 17.9 | 62.2% | 6.1 | 1.19 | 21.0% | 54.6 | 28.9 | |
| 28.3 | 11.1 | 62.2% | 6.1 | 1.19 | 17.1% | 41.2 | 38.2 | |
| 33.2 | 16.8 | 61.8% | 5.7 | 1.13 | 21.5% | 36.3 | 47.5 | |
| 21.2 | 10.1 | 61.6% | 5.5 | 1.09 | 20.1% | 0.9 | 56.7 | |
| 23.9 | 12.3 | 61.2% | 5.1 | 1.03 | 21.6% | 24.9 | 40.0 | |
| 20.1 | 10.4 | 61.2% | 5.1 | 1.03 | 22.1% | 63.9 | 31.9 | |
| 27.4 | 16.4 | 61.1% | 5.0 | 1.01 | 25.1% | 22.5 | 28.4 | |
| 15.2 | 3.3 | 61.0% | 4.9 | 1.00 | 10.5% | 55.3 | 33.0 | |
| 16.7 | 10.4 | 60.9% | 4.8 | 0.98 | 26.3% | 53.1 | 29.6 | |
| 32.8 | 20.8 | 60.8% | 4.7 | 0.97 | 25.8% | 30.2 | 22.1 | |
| 31.4 | 22.7 | 60.7% | 4.6 | 0.95 | 31.8% | 50.1 | 40.5 | |
| 26.0 | 16.0 | 60.7% | 4.6 | 0.95 | 28.2% | 22.8 | 60.8 | |
| 31.0 | 19.8 | 60.6% | 4.5 | 0.93 | 27.2% | 29.1 | 34.0 | |
| 15.3 | 7.1 | 60.5% | 4.4 | 0.92 | 21.1% | 30.0 | 18.5 | |
| 18.3 | 6.1 | 60.5% | 4.4 | 0.92 | 14.9% | 42.0 | 27.1 | |
| 30.9 | 18.1 | 60.4% | 4.3 | 0.90 | 24.8% | 26.1 | 26.1 | |
| 16.9 | 8.2 | 60.4% | 4.3 | 0.90 | 18.4% | 11.5 | 40.4 | |
| 24.7 | 10.7 | 60.3% | 4.2 | 0.89 | 19.6% | 41.9 | 16.3 | |
| 31.7 | 14.3 | 60.1% | 4.0 | 0.85 | 19.3% | 2.6 | 38.2 |
02 · Percentile Profiles
See a player’s shape, not just their rank
Percentiles are among qualified players for the selected season/type. Lower-is-better stats are inverted.
03 · Similarity Finder
Find players with matching statistical fingerprints
Similarity uses z-scored distance across the selected metric family, so high-usage and low-usage profiles are compared fairly.
04 · Shot Diet Explorer
Rim, paint, middies, corners, above-break threes
Shot mix uses official shot-location buckets. For teams, the source endpoint reports per-game zone attempts; the important signal here is share, not total volume.
A'ja Wilson
LVA · advantage shot rate 36.6%
05 · Four Factors Trends
Season form versus recent form
Team snapshots are built from game-level advanced and four-factor box scores, then split into season, last 5, last 10, and calendar-month views.
| Split | GP | Net | o eFG | o TOV | o ORB | o FTr | d eFG | d TOV | d ORB | d FTr |
|---|---|---|---|---|---|---|---|---|---|---|
| Season | 42 | +9.9 | 50.5% | 15.1% | 32.3% | 27.0 | 48.0% | 19.4% | 30.8% | 31.9 |
| Last 10 | 10 | +15.4 | 49.5% | 15.5% | 31.5% | 22.6 | 44.8% | 21.0% | 28.6% | 26.4 |
| Last 5 | 5 | +22.8 | 52.8% | 16.4% | 32.0% | 22.3 | 40.0% | 20.3% | 29.1% | 25.8 |
06 · Role / Usage Matrix + Custom Scatter
Plot any two public metrics against each other
Start with usage versus efficiency, then swap axes for whatever question you’re asking: pace vs net, shot diet vs TS, activity vs fouls, and so on.
07 · Player Development Tracker
Watch roles and efficiency change by month
Monthly splits are rebuilt from player game logs and advanced box-score rows, so this is a real time-series view instead of a season average wearing a trench coat.
8 GP · 30.5 MPG · 24.8 PPG · 31.5% USG
11 GP · 33.5 MPG · 26.5 PPG · 32.2% USG
7 GP · 30.7 MPG · 28.3 PPG · 33.7% USG
11 GP · 32.6 MPG · 25.0 PPG · 31.0% USG
2 GP · 29.5 MPG · 29.5 PPG · 30.1% USG