The goal of footballdatar is to make it easy to use data from football-data.co.uk in R.
Currently only available on github (not sure it will ever get to CRAN tbh) and can be installed via:
devtools::install_github("tojyouso/footballdatar")Currently only downloads data for the EPL but this will be extended to the other European leagues soon. So for the 2017/2018 season use the following:
epl_2017 <- footballdatar::get_football_data(season = 2017)
epl_2017
#> # A tibble: 380 x 67
#> Div Date HomeTeam AwayTeam FTHG FTAG FTR HTHG HTAG HTR
#> <chr> <chr> <chr> <chr> <int> <int> <chr> <int> <int> <chr>
#> 1 E0 11/0… Arsenal Leicest… 4 3 H 2 2 D
#> 2 E0 12/0… Brighton Man City 0 2 A 0 0 D
#> 3 E0 12/0… Chelsea Burnley 2 3 A 0 3 A
#> 4 E0 12/0… Crystal… Hudders… 0 3 A 0 2 A
#> 5 E0 12/0… Everton Stoke 1 0 H 1 0 H
#> 6 E0 12/0… Southam… Swansea 0 0 D 0 0 D
#> 7 E0 12/0… Watford Liverpo… 3 3 D 2 1 H
#> 8 E0 12/0… West Br… Bournem… 1 0 H 1 0 H
#> 9 E0 13/0… Man Uni… West Ham 4 0 H 1 0 H
#> 10 E0 13/0… Newcast… Tottenh… 0 2 A 0 0 D
#> # ... with 370 more rows, and 57 more variables: Referee <chr>, HS <int>,
#> # AS <int>, HST <int>, AST <int>, HF <int>, AF <int>, HC <int>,
#> # AC <int>, HY <int>, AY <int>, HR <int>, AR <int>, B365H <dbl>,
#> # B365D <dbl>, B365A <dbl>, BWH <dbl>, BWD <dbl>, BWA <dbl>, IWH <dbl>,
#> # IWD <dbl>, IWA <dbl>, LBH <dbl>, LBD <dbl>, LBA <dbl>, PSH <dbl>,
#> # PSD <dbl>, PSA <dbl>, WHH <dbl>, WHD <dbl>, WHA <dbl>, VCH <dbl>,
#> # VCD <dbl>, VCA <dbl>, Bb1X2 <int>, BbMxH <dbl>, BbAvH <dbl>,
#> # BbMxD <dbl>, BbAvD <dbl>, BbMxA <dbl>, BbAvA <dbl>, BbOU <int>,
#> # BbMx.2.5 <dbl>, BbAv.2.5 <dbl>, BbMx.2.5.1 <dbl>, BbAv.2.5.1 <dbl>,
#> # BbAH <int>, BbAHh <dbl>, BbMxAHH <dbl>, BbAvAHH <dbl>, BbMxAHA <dbl>,
#> # BbAvAHA <dbl>, PSCH <dbl>, PSCD <dbl>, PSCA <dbl>, season <dbl>,
#> # league <chr>The package also contains a function to clean the data so all the column names are in snake case. Soon, I'll add functionality to set it so any case could be used by using the janitor package.
epl_2017_clean <- footballdatar::clean_football_data(epl_2017)
epl_2017_clean
#> # A tibble: 380 x 66
#> league season date home_team away_team fthg ftag ftr hthg
#> <chr> <dbl> <date> <chr> <chr> <int> <int> <chr> <int>
#> 1 E0 2017 2017-08-11 Arsenal Leicester 4 3 H 2
#> 2 E0 2017 2017-08-12 Brighton Man City 0 2 A 0
#> 3 E0 2017 2017-08-12 Chelsea Burnley 2 3 A 0
#> 4 E0 2017 2017-08-12 Crystal … Huddersf… 0 3 A 0
#> 5 E0 2017 2017-08-12 Everton Stoke 1 0 H 1
#> 6 E0 2017 2017-08-12 Southamp… Swansea 0 0 D 0
#> 7 E0 2017 2017-08-12 Watford Liverpool 3 3 D 2
#> 8 E0 2017 2017-08-12 West Brom Bournemo… 1 0 H 1
#> 9 E0 2017 2017-08-13 Man Unit… West Ham 4 0 H 1
#> 10 E0 2017 2017-08-13 Newcastle Tottenham 0 2 A 0
#> # ... with 370 more rows, and 57 more variables: htag <int>, htr <chr>,
#> # referee <chr>, hs <int>, as <int>, hst <int>, ast <int>, hf <int>,
#> # af <int>, hc <int>, ac <int>, hy <int>, ay <int>, hr <int>, ar <int>,
#> # b365h <dbl>, b365d <dbl>, b365a <dbl>, bwh <dbl>, bwd <dbl>,
#> # bwa <dbl>, iwh <dbl>, iwd <dbl>, iwa <dbl>, lbh <dbl>, lbd <dbl>,
#> # lba <dbl>, psh <dbl>, psd <dbl>, psa <dbl>, whh <dbl>, whd <dbl>,
#> # wha <dbl>, vch <dbl>, vcd <dbl>, vca <dbl>, bb1x2 <int>,
#> # bb_mx_h <dbl>, bb_av_h <dbl>, bb_mx_d <dbl>, bb_av_d <dbl>,
#> # bb_mx_a <dbl>, bb_av_a <dbl>, bb_ou <int>, bb_mx_2_5 <dbl>,
#> # bb_av_2_5 <dbl>, bb_mx_2_5_1 <dbl>, bb_av_2_5_1 <dbl>, bb_ah <int>,
#> # bb_a_hh <dbl>, bb_mx_ahh <dbl>, bb_av_ahh <dbl>, bb_mx_aha <dbl>,
#> # bb_av_aha <dbl>, psch <dbl>, pscd <dbl>, psca <dbl>It also adds some helper columns like season.
The final function is a helper function to convert the data from match level to team level. This allows for easy calculation of league points for example. It doubles the amount of rows as there will be two rows per match, one for each team and an indicator as to whether that team was home or away.
footballdatar::transform_to_team_level(epl_2017_clean)
#> # A tibble: 760 x 11
#> date team opponent home goals_scored goals_conceded shots_taken
#> <date> <chr> <chr> <dbl> <int> <int> <int>
#> 1 2017-08-11 Arse… Leicest… 1 4 3 27
#> 2 2017-08-11 Leic… Arsenal 0 3 4 6
#> 3 2017-08-12 Brig… Man City 1 0 2 6
#> 4 2017-08-12 Man … Brighton 0 2 0 14
#> 5 2017-08-12 Chel… Burnley 1 2 3 19
#> 6 2017-08-12 Burn… Chelsea 0 3 2 10
#> 7 2017-08-12 Crys… Hudders… 1 0 3 14
#> 8 2017-08-12 Hudd… Crystal… 0 3 0 8
#> 9 2017-08-12 Ever… Stoke 1 1 0 9
#> 10 2017-08-12 Stoke Everton 0 0 1 9
#> # ... with 750 more rows, and 4 more variables: shots_conceded <int>,
#> # sot_taken <int>, sot_conceded <int>, points <dbl>