ndcc - NFL Draft Capital Comparator
A simple CLI App to compare the value of up to 32 NFL draft pick collections with one another. This can be useful when trying to determine which team in the draft has the most draft capital, or by how much a team increased or decreased their capital with their draft day (pick) trades. The most obvious use case however is to determine who won a pick trade according to different value charts.
For now, these are the charts one can choose between to determine value:
- Jimmy Johnson
- Rich Hill
- Fitzgerald/Spielberger
- Kevin Meers (Harvard Sports Analysis)
- PFF WAR
- Michael Lopez (blended curve)
- Chase Stuart
To account for drafts with a lot of compensatory picks, each chart is "prolonged" to 270 picks, using estimates on what the remaining values would be.
installation
pip install ndcc
usage
python -m ndcc
adding charts
To add another chart, simply add a column in charts.csv, fill in the values and add the column name and chart name you want to be presented with to the values (and default_values, if you want the chart to be selected by default) of the checkboxlist_dialog in input.get_selected_charts().
Metadata
Release files for ndcc 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ndcc-0.2.0.tar.gz | 9.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ndcc-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.0 kB
Release files / ndcc-0.2.0.tar.gz
| Download URL | ndcc-0.2.0.tar.gz |
|---|---|
| Size | 9.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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poetry/1.3.0 CPython/3.11.0 Linux/6.0.12-300.fc37.x86_64
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Release files / ndcc-0.2.0-py3-none-any.whl
| Download URL | ndcc-0.2.0-py3-none-any.whl |
|---|---|
| Size | 9.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.0 CPython/3.11.0 Linux/6.0.12-300.fc37.x86_64
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