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tanho63 committed Jan 11, 2022
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```

# ffopportunity
# ffopportunity <a href='https://ffopportunity.ffverse.com'><img src='man/figures/logo.png' align="right" width="25%" min-width="120px"/></a>

*Models and Data for Expected Fantasy Points*

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<!-- README.md is generated from README.Rmd. Please edit that file -->

# ffopportunity
# ffopportunity <a href='https://ffopportunity.ffverse.com'><img src='man/figures/logo.png' align="right" width="25%" min-width="120px"/></a>

*Models and Data for Expected Fantasy Points*

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discord](https://img.shields.io/discord/789805604076126219?color=7289da&label=nflverse%20discord&logo=discord&logoColor=fff&style=flat-square)](https://discord.com/invite/5Er2FBnnQa)
<!-- badges: end -->

ffopportunity builds Expected Fantasy Points data by applying an
xgboost model to nflverse play-by-play data, as well as providing
utilities to download precomputed data.
ffopportunity builds a dataframe of Expected Fantasy Points by
preprocessing and applying an xgboost model to nflverse play-by-play
data. It also includes utilities to download precomputed data from
automated GitHub releases.

## About

Expected Fantasy Points are a measure of player opportunities in fantasy
football - essentially aiming to quantify how many points the average
player would score given a specific situation and opportunity. It uses
xgboost and tidymodels trained on public nflverse data from {SEASONS
2006-2020} to do this.

For more on the modeling details, see: {MODELLING VIGNETTES}

## Installation

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## Data

ffopportunity data is automated with GitHub Actions and can be
manually downloaded in RDS, parquet, and csv formats from the [releases
ffopportunity data is automated with GitHub Actions and can be manually
downloaded in RDS, parquet, and csv formats from the [releases
page](https://github.com/ffverse/ffopportunity/releases).

## Getting help
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## Terms of Use

The R code for this package is released as open source under the [GPL v3
License](https://ffopportunity.ffverse.com/LICENSE.html). The models
and expected points data included within this package’s are licensed
under [Creative Commons Attribution-ShareAlike 4.0 International
License](https://ffopportunity.ffverse.com/LICENSE.html). The models and
expected points data included within this package’s are licensed under
[Creative Commons Attribution-ShareAlike 4.0 International
License](https://creativecommons.org/licenses/by-sa/4.0/)

## Code of Conduct
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