Data VIZ

A FFStatistics data fueled platform showing off tools built by Zeno Muscarella (@theDude_Z on twitter)
Special thanks to Peter Howard (@pahowdy on twitter) for the College Football data
Support the site! Patreon
1. Select Draft Class Year(s)
2. Select Positions to include
3. Select Players to plot
3. Select Metric to plot
**Default Baseline regression is trained on the average metric value of top 36 Positional FF season.
Use the custom baseline filters below to adjust how the regression is trained
Fill out the below to change the default baseline filters
**Its highly recommended to leave age as 18-22 due to low sample of 23 y/os

Similarity Score beta application

Use this tool to see how the selected player compares to other players given the selected metrics
The lower the similarity score, the closer two players are related based on the metrics selected
1. Select Metric(s)
2. Select Player to Analyze
3. Select Criteria for comparison players

Year over Year NFL Metric Stability

Use this tool to see which metrics are stickier than others
All data pulled from Josh Hermsmeyers AirYards api. Thanks Josh!
1. Select Metric
2. Select Position(s)
3. Select Weekly Minimum(s)
Select Weekly Target min
Select Weekly Target Share min
Select Weekly Reception min
Select Weekly Receiving Yards min
Select Weekly Airyards min
Select Weekly Rushing Yards min

1. Select Week
2. Select Game
3. Render or Update Win Probability Plot
The plot may take a minute or two to render. Be patient, please!


Use this tool to run stability tests on your own data!


1. Download the CSV template
Template File
2. Fill template file with your data and upload

Notes:
1. Please ensure that the first row in the upload file is identical to the template
2. The 2nd row in the upload file controls the plot labels