Re-build README.Rmd

README.md

@@ -5,8 +5,8 @@
 
 <!-- badges: start -->
 
-[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/ggsoccer)](https://cran.r-project.org/package=ggsoccer)
-[![CRAN_Version_Badge](https://cranlogs.r-pkg.org/badges/ggsoccer?color=ff69b4)](https://cran.r-project.org/package=ggsoccer)
+[![CRAN\_Status\_Badge](http://www.r-pkg.org/badges/version/ggsoccer)](https://cran.r-project.org/package=ggsoccer)
+[![CRAN\_Version\_Badge](https://cranlogs.r-pkg.org/badges/ggsoccer?color=ff69b4)](https://cran.r-project.org/package=ggsoccer)
 [![lifecycle](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable)
 [![R-CMD-check](https://github.com/Torvaney/ggsoccer/workflows/R-CMD-check/badge.svg)](https://github.com/Torvaney/ggsoccer/actions)
 <!-- badges: end -->
@@ -86,7 +86,7 @@ You can do this with either `scale_y_reverse` or by reversing the order
 of the limits in `coord_flip`’s `ylim` argument.
 
 If you don’t correct (i.e. reverse) the y axis orientation, the penalty
-box arcs will appear inside the box!
+box arcs will appear inside the box\!
 
 ``` r
 shots <- data.frame(x = c(90, 85, 82, 78, 83, 74, 94, 91),
@@ -117,9 +117,9 @@ different data providers may use alternative coordinates.
 ggsoccer provides support for a few data providers out of the box, as
 well as an interface for any custom coordinate system:
 
-- Opta
-- Statsbomb
-- Wyscout
+  - Opta
+  - Statsbomb
+  - Wyscout
 
 #### Statsbomb
 
@@ -250,13 +250,13 @@ ggplot() +
 There are other packages that offer alternative pitch plotting options.
 Depending on your use case, you may want to check these out too:
 
-- [soccermatics](https://github.com/JoGall/soccermatics)
-- [SBpitch](https://github.com/FCrSTATS/SBpitch)
-- [fc.rstats](https://github.com/FCrSTATS/fc.rstats)
+  - [soccermatics](https://github.com/JoGall/soccermatics)
+  - [SBpitch](https://github.com/FCrSTATS/SBpitch)
+  - [fc.rstats](https://github.com/FCrSTATS/fc.rstats)
 
 ### Python
 
 There are a couple of pitch plotting options for matplotlib, too:
 
-- [mplsoccer](https://github.com/andrewRowlinson/mplsoccer)
-- [matplotsoccer](https://github.com/TomDecroos/matplotsoccer)
+  - [mplsoccer](https://github.com/andrewRowlinson/mplsoccer)
+  - [matplotsoccer](https://github.com/TomDecroos/matplotsoccer)