This package provides UEFA Euro 2020 data, primarily focused on passing data.
You can install the development version of Euro2020PassNetworks
require(remotes)
remotes::install_github("SinanPolatoglu/Euro2020PassNetworks")There are two datasets included:
MatchSummaries: data frame overview stats for each matchPassNetwork: data frame containingigraphdirected passing networks
library(Euro2020PassNetworks)
MatchSummaries
#> # A tibble: 51 x 15
#> matchday date home away sc_home sc_away had_penalties sc_pen_home
#> <dbl> <date> <chr> <chr> <dbl> <dbl> <lgl> <dbl>
#> 1 1 2021-06-11 Turkey Italy 0 3 FALSE NA
#> 2 1 2021-06-12 Belgium Russia 3 0 FALSE NA
#> 3 1 2021-06-12 Denmark Finland 0 1 FALSE NA
#> 4 1 2021-06-12 Wales Switze~ 1 1 FALSE NA
#> 5 1 2021-06-13 Nether~ Ukraine 3 2 FALSE NA
#> 6 1 2021-06-13 Austria North ~ 3 1 FALSE NA
#> 7 1 2021-06-13 England Croatia 1 0 FALSE NA
#> 8 1 2021-06-14 Spain Sweden 0 0 FALSE NA
#> 9 1 2021-06-14 Poland Slovak~ 1 2 FALSE NA
#> 10 1 2021-06-14 Scotla~ Czech ~ 0 2 FALSE NA
#> # ... with 41 more rows, and 7 more variables: sc_pen_away <dbl>,
#> # pos_home <dbl>, pos_away <dbl>, total_shots_home <dbl>,
#> # total_shots_away <dbl>, shots_on_target_home <dbl>,
#> # shots_on_target_away <dbl>PassNetworks
#> # A tibble: 51 x 4
#> home away home_graph away_graph
#> <chr> <chr> <list> <list>
#> 1 Turkey Italy <igraph> <igraph>
#> 2 Belgium Russia <igraph> <igraph>
#> 3 Denmark Finland <igraph> <igraph>
#> 4 Wales Switzerland <igraph> <igraph>
#> 5 Netherlands Ukraine <igraph> <igraph>
#> 6 Austria North Macedonia <igraph> <igraph>
#> 7 England Croatia <igraph> <igraph>
#> 8 Spain Sweden <igraph> <igraph>
#> 9 Poland Slovakia <igraph> <igraph>
#> 10 Scotland Czech Republic <igraph> <igraph>
#> # ... with 41 more rowsTwo helper functions are included to obtain lists of igraph objects:
passes_by_matchpasses_by_team
bel_ita = passes_by_match('Belgium', 'Italy')
str(bel_ita, max.level = 1)
#> List of 2
#> $ Belgium:List of 10
#> ..- attr(*, "class")= chr "igraph"
#> $ Italy :List of 10
#> ..- attr(*, "class")= chr "igraph"ita = passes_by_team('Italy')
str(ita, max.level = 1)
#> List of 7
#> $ Turkey :List of 10
#> ..- attr(*, "class")= chr "igraph"
#> $ Switzerland:List of 10
#> ..- attr(*, "class")= chr "igraph"
#> $ Wales :List of 10
#> ..- attr(*, "class")= chr "igraph"
#> $ Austria :List of 10
#> ..- attr(*, "class")= chr "igraph"
#> $ Belgium :List of 10
#> ..- attr(*, "class")= chr "igraph"
#> $ Spain :List of 10
#> ..- attr(*, "class")= chr "igraph"
#> $ England :List of 10
#> ..- attr(*, "class")= chr "igraph"Each igraph object is a directed graph of completed passes during a
match with several node attributes on passing statistics. See
help("PassNetworks") for details.
bel_ita$Belgium
#> IGRAPH 90461e0 DN-- 14 97 --
#> + attr: name (v/c), mins_played (v/n), pc_long (v/n), pa_long (v/n),
#> | pc_medium (v/n), pa_medium (v/n), pc_short (v/n), pa_short (v/n),
#> | pc_total (v/n), pa_total (v/n), pass_accuracy_total (v/n),
#> | completed_passes (e/n)
#> + edges from 90461e0 (vertex names):
#> [1] Thibaut Courtois ->Toby Alderweireld Thibaut Courtois ->Thomas Vermaelen
#> [3] Thibaut Courtois ->Jan Vertonghen Thibaut Courtois ->Kevin De Bruyne
#> [5] Thibaut Courtois ->Youri Tielemans Thibaut Courtois ->Romelu Lukaku
#> [7] Thibaut Courtois ->Thomas Meunier Thibaut Courtois ->Thorgan Hazard
#> [9] Thibaut Courtois ->Jeremy Doku Toby Alderweireld->Thibaut Courtois
#> + ... omitted several edgesIn combination with R’s network analysis libraries, these passing networks can be interesting to get acquainted with network analysis.
require(ggraph)
require(igraph)
G1 = bel_ita$Belgium
G2 = bel_ita$Italy
G1 = igraph::delete.vertices(G1, V(G1)$mins_played <= 70)
G2 = igraph::delete.vertices(G2, V(G2)$mins_played <= 70)
visualise_passes = function(G){
set.seed(2020)
ggraph(G, layout = 'fr')+
geom_edge_fan(
aes(width=completed_passes), arrow = arrow(length = unit(2, 'mm')),
end_cap = circle(3, 'mm'), alpha = .5
)+
scale_edge_width(range = c(.1, 3))+
geom_node_point()+
geom_node_label(aes(label=gsub('[[:alpha:]]+ ', '', name)), size=3, repel = TRUE) +
theme_graph()
}
visualise_passes(G1)
visualise_passes(G2)