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
219
Teams
15
Trend teams
15
Shot profiles
234
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% | 21.5 | — | 16.3% | 82.4 | 23.5 | |
| 16.8 | 12.2 | 68.4% | 12.6 | 1.93 | 27.0% | 21.0 | 37.0 | |
| 29.1 | 6.7 | 67.9% | 12.1 | 1.86 | 10.2% | 61.1 | 8.9 | |
| 23.0 | 9.3 | 67.1% | 11.3 | 1.74 | 14.5% | 67.3 | 30.6 | |
| 26.7 | 12.7 | 67.0% | 11.2 | 1.73 | 17.6% | 30.7 | 60.0 | |
| 14.9 | 3.8 | 66.3% | 10.5 | — | 11.9% | 76.9 | 23.1 | |
| 13.5 | 3.2 | 65.6% | 9.8 | 1.52 | 9.6% | 70.0 | 6.7 | |
| 17.4 | 9.3 | 65.5% | 9.7 | 1.51 | 24.0% | 42.9 | 54.9 | |
| 34.6 | 23.9 | 65.3% | 9.5 | 1.48 | 27.4% | 43.1 | 38.3 | |
| 23.8 | 11.9 | 65.3% | 9.5 | 1.48 | 18.7% | 2.9 | 57.1 | |
| 24.3 | 9.9 | 65.1% | 9.3 | 1.45 | 17.5% | 20.8 | 41.6 | |
| 14.7 | 7.5 | 64.6% | 8.8 | 1.38 | 21.4% | 23.7 | 23.7 | |
| 29.7 | 15.0 | 64.3% | 8.5 | 1.33 | 20.5% | 48.0 | 40.5 | |
| 25.2 | 9.2 | 64.3% | 8.5 | 1.33 | 14.8% | 4.3 | 27.8 | |
| 22.9 | 12.2 | 64.2% | 8.4 | 1.32 | 19.7% | 35.5 | 18.5 | |
| 17.3 | 8.3 | 64.0% | 8.2 | — | 19.6% | 6.3 | 50.0 | |
| 12.6 | 5.4 | 63.6% | 7.8 | 1.23 | 16.9% | 42.7 | 14.6 | |
| 32.8 | 15.0 | 63.1% | 7.3 | 1.16 | 18.5% | 3.3 | 36.2 | |
| 26.9 | 14.2 | 62.9% | 7.1 | 1.13 | 21.6% | 0.0 | 41.9 | |
| 23.9 | 9.9 | 62.4% | 6.6 | 1.05 | 19.1% | 42.0 | 44.0 | |
| 30.4 | 19.3 | 62.2% | 6.4 | 1.03 | 26.5% | 28.7 | 40.3 | |
| 29.1 | 10.0 | 62.2% | 6.4 | 1.03 | 15.5% | 58.8 | 23.5 | |
| 24.1 | 11.7 | 62.1% | 6.3 | 1.01 | 19.4% | 21.0 | 41.3 | |
| 17.4 | 4.0 | 62.1% | 6.3 | 1.01 | 10.7% | 53.4 | 41.1 | |
| 31.6 | 17.3 | 61.9% | 6.1 | 0.98 | 21.3% | 29.8 | 22.9 | |
| 14.6 | 3.8 | 61.9% | 6.1 | 0.98 | 10.8% | 0.0 | 52.5 | |
| 32.6 | 22.9 | 61.8% | 6.0 | 0.97 | 26.7% | 39.5 | 29.8 | |
| 30.2 | 16.5 | 61.7% | 5.9 | 0.95 | 23.2% | 4.2 | 36.9 | |
| 34.1 | 17.3 | 61.6% | 5.8 | 0.94 | 21.8% | 39.3 | 57.6 | |
| 27.5 | 17.2 | 61.6% | 5.8 | 0.94 | 26.1% | 23.0 | 32.7 | |
| 20.1 | 10.4 | 61.2% | 5.4 | 0.88 | 22.1% | 63.9 | 31.9 | |
| 20.5 | 9.2 | 61.2% | 5.4 | 0.88 | 18.9% | 0.0 | 64.2 | |
| 29.3 | 21.3 | 61.1% | 5.3 | 0.86 | 31.3% | 54.3 | 29.2 | |
| 33.5 | 20.7 | 61.1% | 5.3 | 0.86 | 24.8% | 29.7 | 23.5 | |
| 16.7 | 10.4 | 60.9% | 5.1 | 0.83 | 26.3% | 53.1 | 29.6 | |
| 31.8 | 25.5 | 60.6% | 4.8 | 0.79 | 32.9% | 12.8 | 43.1 | |
| 17.6 | 6.3 | 60.3% | 4.5 | — | 16.1% | 23.8 | 28.6 | |
| 16.9 | 7.4 | 59.8% | 4.0 | 0.67 | 20.0% | 46.2 | 75.3 | |
| 32.3 | 17.3 | 59.7% | 3.9 | 0.66 | 21.6% | 50.5 | 29.6 | |
| 15.8 | 4.4 | 59.7% | 3.9 | 0.66 | 11.6% | 70.0 | 25.7 |
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 36.9%
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 | 25 | +10.4 | 54.4% | 17.0% | 33.1% | 26.8 | 48.3% | 19.2% | 32.3% | 31.4 |
| Last 10 | 10 | +1.8 | 50.9% | 15.3% | 29.1% | 30.2 | 52.0% | 20.0% | 33.2% | 32.4 |
| Last 5 | 5 | +4.8 | 55.9% | 16.1% | 28.8% | 36.6 | 54.0% | 19.5% | 34.3% | 32.0 |
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
3 GP · 28.7 MPG · 24.3 PPG · 38.1% USG