Data VIZ

1. Select Draft Class Year(s)

Draft Class Year

2. Select Positions to include

Positions

3. Select Players to plot

Player

3. Select Metric to plot

Metric

**Default Baseline regression is trained on the average metric value of top 24 Positional FF season (2005-2020).

Use the custom baseline filters below to adjust how the regression is trained

Custom Baseline Filters

Fill out the below to change the default baseline filters

Positional Filter

Draft Year

Collegiate Age

**Its highly recommended to leave age as 18-22 due to low sample of 23 y/os

Number of Top 12 finishes

Number of Top 24 finishes

Number of Top 36 finishes

Conference(s)

Draft Round(s)

1. Select Draft Class Year(s)

Draft Class Year

2. Select Positions to include

Positions

3. Select Players to plot

Player

3. Select Metric to display

Metric

Transpose Table

Use this tool to regress seasonal receiving metrics onto one another

All data from @nflfastR

1. Select Metrics To Regress

2. Optional: Select Size Variable

Size

3. Select Filters

Season

Positions

Targets

PPR Fantasy Points*

*no rushes or fumbles included

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

Select CSV and Upload!

Browse...

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

SANDBOX TAB!!

Using ggplot2 in R to plot data from https://apexlegendsstatus.com/algs

1. Select Season Split

2. Select Season Type

3. Select Region(s)

Regions

4. Select Team(s)

Teams

5. Select Players to plot

Players

Customization!

Check the boxes below to adjust the plot

Add Labels

Recommended use with one or two players selected

label top 3 placement games

label top 5 placement games

label top 10 placement games

Add Regressions

Damage Dealt among All players

Linear Regression for each player

Regression among all Top 5 in placement

Regression among all Bottom 5 in placement

Regression among all Top 10 in placement

Regression among all Bottom 10 in placement

Turn on/off the SE (grey) shading of the regressions

One-to-One Regression (damage dealt=taken)

Flip Coordinates

Flip the X-axis

Flip the Y-axis

Data Adjustments

Normalize data

Data VIZ

An Assortment of sandbox visualizations built by Zeno Muscarella (@ZenoIsMyName_ on twitter)

Special thanks to Peter Howard (@pahowdy on twitter) for the College Football data

**Default Baseline regression is trained on the average metric value of top 24 Positional FF season (2005-2020).

Use the custom baseline filters below to adjust how the regression is trained

**Its highly recommended to leave age as 18-22 due to low sample of 23 y/os

Use this tool to regress seasonal receiving metrics onto one another

All data from @nflfastR

*no rushes or fumbles included

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

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

SANDBOX TAB!!

Using ggplot2 in R to plot data from https://apexlegendsstatus.com/algs

Add Labels

Recommended use with one or two players selected

Add Regressions

Flip Coordinates

Data Adjustments