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February 17, 2016 03:33
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Come from behind wins
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### Biggest come-from-behind title wins | |
library(engsoccerdata) | |
library(dplyr) | |
library(purrr) | |
library(ggplot2) | |
library(ggthemes) | |
head(engsoccerdata2) | |
df <- engsoccerdata2 %>% filter(Season!=1939 & tier==1) | |
df$Date <- as.Date(df$Date, format = "%Y-%m-%d") | |
seasons <- df$Season %>% unique | |
resdf<-NULL | |
for(j in seq_along(seasons)){ | |
tempdf1 <- df %>% filter(Season==seasons[[j]]) %>% arrange(Date) %>% mutate(daterank = dense_rank(Date)) | |
results<-NULL | |
for(i in 1:max(tempdf1$daterank)) {results[[i]] <- tempdf1[tempdf1$daterank <= i,] } | |
results | |
resdf[[j]] <- results %>% | |
map(maketable) %>% | |
map(~ mutate(., ptsbehind = max(Pts)-Pts)) %>% | |
Map(cbind, ., daterank=1:max(tempdf1$daterank), Season=seasons[[j]]) %>% | |
do.call('rbind', .) %>% | |
full_join( maketable(tempdf1) %>% mutate(pos = row_number()) %>% select(team, pos) ) %>% | |
filter(pos==1) | |
} | |
lapply(resdf, head) | |
resdf1 <- do.call('rbind', resdf) | |
head(resdf1) | |
resdf1 %>% arrange(-ptsbehind) %>% head(10) | |
# five wire-to-wire winners. | |
resdf1 %>% | |
group_by(Season) %>% | |
filter(ptsbehind==max(ptsbehind)) %>% | |
filter(daterank==max(daterank)) %>% | |
ungroup() %>% | |
arrange(-ptsbehind) %>% | |
data.frame() | |
#Sunderland 1891 | |
df %>% | |
filter(Season==1891) %>% | |
arrange(Date) %>% | |
mutate(daterank = dense_rank(Date)) %>% | |
filter(daterank<=17) %>% | |
maketable | |
#Arsenal 1997 | |
df %>% | |
filter(Season==1997) %>% | |
arrange(Date) %>% | |
mutate(daterank = dense_rank(Date)) %>% | |
filter(daterank<=54) %>% | |
maketable | |
#plot | |
resdf1 <- resdf1 %>% group_by(Season) %>% mutate(gamesfrom = GP-max(GP), teamseason = paste(team, Season+1, sep="-")) | |
mylevels <- resdf1 %>% arrange(Season) %>% .$teamseason %>% unique | |
resdf1$teamseason <- factor(resdf1$teamseason, levels=mylevels) | |
resdf1teams <- resdf1 %>% filter(ptsbehind>10) %>% .$teamseason %>% unique | |
resdf1 %>% | |
filter(teamseason %in% resdf1teams) %>% | |
group_by(teamseason, GP) %>% | |
filter(ptsbehind==max(ptsbehind)) %>% | |
filter(daterank==max(daterank)) %>% | |
ungroup() %>% | |
mutate(ptsbehind = ptsbehind * -1) %>% | |
ggplot(., aes(gamesfrom, ptsbehind, group=teamseason)) + geom_path(color='antiquewhite2') + facet_wrap(~teamseason) + | |
xlab("Games From End of Season") + ylab("Points Away from Top of Table") + theme_dark() | |
Author
jalapic
commented
Feb 17, 2016
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