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fixed_stats_summaries.R
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### SUCCESS DEFINITION AND GARBAGE TIME
plays.gs <- plays %>% mutate(success = ifelse(yardsgained >= .5* Distance & Down == 1, 1,
ifelse(yardsgained >= .7* Distance & Down == 2, 1,
ifelse(yardsgained >= Distance & Down == 3, 1,
ifelse(yardsgained>= Distance & Down ==4, 1, 0)))),
score.margin = Offense.Points - Defense.Points,
garbage = ifelse(Period.Number == 2 & score.margin > 38, 1,
ifelse(Period.Number == 2 & score.margin < -38, 1,
ifelse(Period.Number == 3 & score.margin > 28, 1,
ifelse(Period.Number == 3 & score.margin < -28, 1,
ifelse(Period.Number == 4 & score.margin > 22, 1,
ifelse(Period.Number == 4 & score.margin < -22, 1, 0))))))) %>%
filter(offense != "NA" & defense != "NA")
##Situational Plays
advanced.stats1 <- plays.gs %>%
mutate(
rz_play = ifelse((yardline <= 20 & Play.Type != "Kickoff"), 1, 0),
so_play = ifelse((yardline <=40 & Play.Type != "Kickoff" | touchdown == 1 ), 1, 0),
stuffed_run = ifelse((rush == 1 & yardsgained <=0), 1, 0),
opp_rate_run = ifelse((rush == 1 & yardsgained >= 4), 1, 0),
exp_play = ifelse(((yardsgained > 12 & rush==1) | (yardsgained > 20 & pass==1)
& success==1), 1, 0),
short_rush_attempt = ifelse(Distance <= 2 & rush == 1, 1, 0),
short_rush_success = ifelse(Distance <= 2 & rush == 1 & yardsgained >= Distance, 1, 0),
std.down = ifelse(Down == 1, 1,
ifelse(Down == 2 & Distance < 8, 1,
ifelse(Down == 3 & Distance < 5, 1,
ifelse(Down == 4 & Distance < 5, 1, 0)))),
pass.down = ifelse(Down == 2 & Distance > 8, 1,
ifelse(Down == 3 & Distance > 5, 1,
ifelse(Down == 4 & Distance > 5, 1, 0))),
qb.hurry = ifelse(is.na(hurrier.position), 0, 1)
)
## add drive variables
advanced.stats2 <- advanced.stats1 %>%
group_by(offense, defense, Drive.Number) %>%
mutate(
so_drive = if_else(so_play == 1, 1, 0),
td_drive = if_else(touchdown == 1, 1, 0),
rz_drive = ifelse(rz_play == 1, 1, 0),
) %>%
ungroup()
## fix sacks problem
advanced.stats2$rushlast <-as.character(advanced.stats2$rushlast)
advanced.stats2$rushfirst <-as.character(advanced.stats2$rushfirst)
advanced.stats2$passerlast <-as.character(advanced.stats2$passerlast)
advanced.stats2$passerfirst <-as.character(advanced.stats2$passerfirst)
advanced.stats2$Play.Type <- as.character(advanced.stats2$Play.Type)
advanced.stats2$rush <- ifelse(advanced.stats2$Sack == 1, 0, advanced.stats2$rush)
advanced.stats2$pass <- ifelse(advanced.stats2$Sack == 1, 1, advanced.stats2$pass)
advanced.stats2$Play.Type <- ifelse(advanced.stats2$Sack == 1, "Sack", advanced.stats2$Play.Type)
advanced.stats2$passerlast <- ifelse(advanced.stats2$Sack == 1, advanced.stats2$rushlast, advanced.stats2$passerlast)
advanced.stats2$passerfirst <- ifelse(advanced.stats2$Sack == 1, advanced.stats2$rushfirst, advanced.stats2$passerfirst)
advanced.stats2$rushlast <- ifelse(advanced.stats2$Sack == 1, NA, advanced.stats2$rushlast)
advanced.stats2$rushfirst <- ifelse(advanced.stats2$Sack == 1, NA, advanced.stats2$rushfirst)
## fix lost fumble problem
advanced.stats2$success <- ifelse(advanced.stats2$Fumble.Lost == 1, 0, advanced.stats2$success)
## add game_drive variable for season drive stats
advanced.stats2 <- advanced.stats2 %>%
unite(game_drive, Game.Code, Drive.Number, sep = "_", remove = FALSE)
## change assisted tfls/sacks to .5
advanced.stats2$TFL.Assist <- ifelse(advanced.stats2$TFL.Assist == 1, .5, advanced.stats2$TFL.Assist)
advanced.stats2$Sack.Assist <- ifelse(advanced.stats2$Sack.Assist == 1, .5, advanced.stats2$Sack.Assist)
## new box score stats
box.score.stats <- advanced.stats2 %>%
group_by(offense, defense) %>%
filter(rush == 1 | pass == 1) %>%
summarize(
ypp = mean(yardsgained),
plays = sum(rush + pass),
yards = sum(yardsgained),
drives = n_distinct(Drive.Number),
success.rte = mean(success),
rush.sr = mean(success[rush==1]),
pass.sr = mean(success[pass==1]),
ypp.rush = mean(yardsgained[rush==1]),
ypp.pass = mean(yardsgained[pass==1]),
stuff.rte = mean(stuffed_run[rush==1]),
opp.rte = mean(opp_rate_run[rush==1]),
exp.rte = mean(exp_play),
exp.rte.rush = mean(exp_play[rush == 1]),
exp.rte.pass = mean(exp_play[pass == 1]),
avg.sr.gain = mean(yardsgained[success==1]),
rush.rte = sum(rush)/plays,
std.down.rush.rte = sum(rush[std.down==1]) / sum(std.down),
pass.down.rush.rte = sum(rush[pass.down==1]) / sum(pass.down),
yds.to.go.3d = mean(Distance[Down==3]),
redz.sr = mean(success[rz_play == 1]),
scor.opp.sr = mean(success[so_play == 1]),
short.rush.sr = ((sum(short_rush_success)) / (sum(short_rush_attempt))),
scoring.opps = n_distinct(Drive.Number[so_drive == 1]),
touchdowns = sum(touchdown),
scor.opp.rte = scoring.opps / drives,
scor.opp.tdrte = touchdowns / scoring.opps,
redzone.dr = n_distinct(game_drive[rz_drive == 1])/n_distinct(game_drive),
redzone.td.rte = sum(touchdown[rz_play==1])/n_distinct(game_drive[rz_play==1]),
sr_1d = mean(success[Down == 1]),
sr_2d = mean(success[Down == 2]),
sr_3d = mean(success[Down == 3]),
sr_4d = mean(success[Down == 4]),
std.down.sr = mean(success[std.down == 1]),
pass.down.sr = mean(success[pass.down == 1]),
havoc.rte = (sum(TFL.Solo + TFL.Assist + Pass.Broken.Up +
Pass.Intercepted + Fumble + qb.hurry)) / sum(rush + pass)
) %>% ungroup()
## new all season stats - offense
season.stats.off <- advanced.stats2 %>%
group_by(offense, offense.conf) %>%
filter(rush == 1 | pass == 1) %>%
summarize(
ypp = mean(yardsgained),
plays = sum(rush + pass),
yards = sum(yardsgained),
drives = n_distinct(game_drive),
success.rte = mean(success),
rush.sr = mean(success[rush==1]),
pass.sr = mean(success[pass==1]),
ypp.rush = mean(yardsgained[rush==1]),
ypp.pass = mean(yardsgained[pass==1]),
stuff.rte = mean(stuffed_run[rush==1]),
opp.rte = mean(opp_rate_run[rush==1]),
exp.rte = mean(exp_play),
exp.rte.rush = mean(exp_play[rush == 1]),
exp.rte.pass = mean(exp_play[pass == 1]),
avg.sr.gain = mean(yardsgained[success==1]),
rush.rte = sum(rush)/plays,
std.down.rush.rte = sum(rush[std.down==1]) / sum(std.down),
pass.down.rush.rte = sum(rush[pass.down==1]) / sum(pass.down),
yds.to.go.3d = mean(Distance[Down==3]),
redz.sr = mean(success[rz_play == 1]),
scor.opp.sr = mean(success[so_play == 1]),
short.rush.sr = ((sum(short_rush_success)) / (sum(short_rush_attempt))),
scoring.opps = n_distinct(game_drive[so_drive == 1]),
touchdowns = sum(touchdown),
scor.opp.rte = scoring.opps / drives,
scor.opp.tdrte = touchdowns / scoring.opps,
redzone.dr = n_distinct(game_drive[rz_drive == 1])/n_distinct(game_drive),
redzone.td.rte = sum(touchdown[rz_play==1])/n_distinct(game_drive[rz_play==1]),
sr.1d = mean(success[Down == 1]),
sr.2d = mean(success[Down == 2]),
sr.3d = mean(success[Down == 3]),
sr.4d = mean(success[Down == 4]),
std.down.sr = mean(success[std.down == 1]),
pass.down.sr = mean(success[pass.down == 1]),
havoc.rte.allowed = (sum(TFL.Solo + TFL.Assist + Pass.Broken.Up +
Pass.Intercepted + Fumble + qb.hurry)) / sum(rush + pass)
) %>% ungroup()
## add ranks - offense
season.stats.off <- season.stats.off %>%
filter(offense.conf == 823 | offense.conf == 821 | offense.conf == 25354 | offense.conf == 827 |
offense.conf == 24312 | offense.conf == 99001 | offense.conf == 875 | offense.conf == 5486 |
offense.conf == 905 | offense.conf == 911 | offense.conf == 818) %>%
mutate(
ypp.rank = dense_rank(desc(ypp)),
sr.rank = dense_rank(desc(success.rte)),
rush.sr.rank = dense_rank(desc(rush.sr)),
pass.sr.rank = dense_rank(desc(pass.sr)),
ypp.rush.rank = dense_rank(desc(ypp.rush)),
ypp.pass.rank = dense_rank(desc(ypp.pass)),
stuff.rte.rank = dense_rank(stuff.rte),
opp.rte.rank = dense_rank(desc(opp.rte)),
exp.rte.rank = dense_rank(desc(exp.rte)),
exp.rte.rush.rank = dense_rank(desc(exp.rte.rush)),
exp.rte.pass.rank = dense_rank(desc(exp.rte.pass)),
avg.sr.gain.rank = dense_rank(desc(avg.sr.gain)),
rush.rte.rank = dense_rank(desc(rush.rte)),
std.down.rush.rte.rank = dense_rank(desc(std.down.rush.rte)),
pass.down.rush.rte.rank = dense_rank(desc(pass.down.rush.rte)),
yds.to.go.3d.rank = dense_rank(yds.to.go.3d),
redz.sr.rank = dense_rank(desc(redz.sr)),
scor.opp.sr.rank = dense_rank(desc(scor.opp.sr)),
short.rush.sr.rank = dense_rank(desc(short.rush.sr)),
scor.opp.rte.rank = dense_rank(desc(scor.opp.rte)),
scor.opp.tdrte.rank = dense_rank(desc(scor.opp.tdrte)),
redzone.dr.rank = dense_rank(desc(redzone.dr)),
redzone.td.rte.rank = dense_rank(desc(redzone.td.rte)),
sr.1d.rank = dense_rank(desc(sr.1d)),
sr.2d.rank = dense_rank(desc(sr.2d)),
sr.3d.rank = dense_rank(desc(sr.3d)),
sr.4d.rank = dense_rank(desc(sr.4d)),
std.down.sr.rank = dense_rank(desc(std.down.sr)),
pass.down.sr.rank = dense_rank(desc(pass.down.sr)),
havoc.rte.allowed.rank = dense_rank(havoc.rte.allowed)
)
col_order <- c("offense", "ypp", "ypp.rank", "plays", "yards", "drives", "success.rte", "sr.rank", "rush.sr", "rush.sr.rank", "pass.sr", "pass.sr.rank",
"ypp.rush", "ypp.rush.rank", "ypp.pass", "ypp.pass.rank", "stuff.rte", "stuff.rte.rank",
"opp.rte", "opp.rte.rank", "exp.rte", "exp.rte.rank", "exp.rte.rush", "exp.rte.rush.rank",
"exp.rte.pass", "exp.rte.pass.rank", "avg.sr.gain", "avg.sr.gain.rank", "rush.rte", "rush.rte.rank", "std.down.rush.rte", "std.down.rush.rte.rank", "pass.down.rush.rte", "pass.down.rush.rte.rank",
"yds.to.go.3d", "yds.to.go.3d.rank", "redz.sr", "redz.sr.rank", "scor.opp.sr", "scor.opp.sr.rank", "short.rush.sr", "short.rush.sr.rank",
"touchdowns", "scor.opp.rte", "scor.opp.rte.rank", "scor.opp.tdrte","scor.opp.tdrte.rank", "redzone.dr","redzone.dr.rank", "redzone.td.rte", "redzone.td.rte.rank",
"sr.1d", "sr.1d.rank", "sr.2d", "sr.2d.rank", "sr.3d", "sr.3d.rank", "sr.4d","sr.4d.rank",
"std.down.sr", "std.down.sr.rank", "pass.down.sr", "pass.down.sr.rank", "havoc.rte.allowed", "havoc.rte.allowed.rank" )
season.stats.off <- season.stats.off[, col_order]
## all season stats - defense
season.stats.def <- advanced.stats2 %>%
group_by(defense, defense.conf) %>%
filter(rush == 1 | pass == 1) %>%
summarize(
ypp = mean(yardsgained),
plays = sum(rush + pass),
yards = sum(yardsgained),
drives = n_distinct(game_drive),
success.rte = mean(success),
rush.sr = mean(success[rush==1]),
pass.sr = mean(success[pass==1]),
ypp.rush = mean(yardsgained[rush==1]),
ypp.pass = mean(yardsgained[pass==1]),
stuff.rte = mean(stuffed_run[rush==1]),
opp.rte = mean(opp_rate_run[rush==1]),
exp.rte = mean(exp_play),
exp.rte.rush = mean(exp_play[rush == 1]),
exp.rte.pass = mean(exp_play[pass == 1]),
avg.sr.gain = mean(yardsgained[success==1]),
rush.rte = sum(rush)/plays,
std.down.rush.rte = sum(rush[std.down==1]) / sum(std.down),
pass.down.rush.rte = sum(rush[pass.down==1]) / sum(pass.down),
yds.to.go.3d = mean(Distance[Down==3]),
redz.sr = mean(success[rz_play == 1]),
scor.opp.sr = mean(success[so_play == 1]),
short.rush.sr = ((sum(short_rush_success)) / (sum(short_rush_attempt))),
scoring.opps = n_distinct(game_drive[so_drive == 1]),
touchdowns = sum(touchdown),
scor.opp.rte = scoring.opps / drives,
scor.opp.tdrte = touchdowns / scoring.opps,
redzone.dr = n_distinct(game_drive[rz_drive == 1])/n_distinct(game_drive),
redzone.td.rte = sum(touchdown[rz_play==1])/n_distinct(game_drive[rz_play==1]),
sr.1d = mean(success[Down == 1]),
sr.2d = mean(success[Down == 2]),
sr.3d = mean(success[Down == 3]),
sr.4d = mean(success[Down == 4]),
std.down.sr = mean(success[std.down == 1]),
pass.down.sr = mean(success[pass.down == 1]),
havoc.rte = (sum(TFL.Solo + TFL.Assist + Pass.Broken.Up +
Pass.Intercepted + Fumble + qb.hurry)) / sum(rush + pass)
) %>% ungroup()
## add ranks - defense
season.stats.def <- season.stats.def %>%
filter(defense.conf == 823 | defense.conf == 821 | defense.conf == 25354 | defense.conf == 827 |
defense.conf == 24312 | defense.conf == 99001 | defense.conf == 875 | defense.conf == 5486 |
defense.conf == 905 | defense.conf == 911 | defense.conf == 818) %>%
mutate(
ypp.rank = dense_rank(ypp),
sr.rank = dense_rank(success.rte),
rush.sr.rank = dense_rank(rush.sr),
pass.sr.rank = dense_rank(pass.sr),
ypp.rush.rank = dense_rank(ypp.rush),
ypp.pass.rank = dense_rank(ypp.pass),
stuff.rte.rank = dense_rank(desc(stuff.rte)),
opp.rte.rank = dense_rank(opp.rte),
exp.rte.rank = dense_rank(exp.rte),
exp.rte.rush.rank = dense_rank(exp.rte.rush),
exp.rte.pass.rank = dense_rank(exp.rte.pass),
avg.sr.gain.rank = dense_rank(avg.sr.gain),
rush.rte.rank = dense_rank(rush.rte),
std.down.rush.rte.rank = dense_rank(desc(std.down.rush.rte)),
pass.down.rush.rte.rank = dense_rank(desc(pass.down.rush.rte)),
yds.to.go.3d.rank = dense_rank(desc(yds.to.go.3d)),
redz.sr.rank = dense_rank(redz.sr),
scor.opp.sr.rank = dense_rank(scor.opp.sr),
short.rush.sr.rank = dense_rank(short.rush.sr),
scor.opp.rte.rank = dense_rank(scor.opp.rte),
scor.opp.tdrte.rank = dense_rank(scor.opp.tdrte),
redzone.dr.rank = dense_rank(redzone.dr),
redzone.td.rte.rank = dense_rank(redzone.td.rte),
sr.1d.rank = dense_rank(sr.1d),
sr.2d.rank = dense_rank(sr.2d),
sr.3d.rank = dense_rank(sr.3d),
sr.4d.rank = dense_rank(sr.4d),
std.down.sr.rank = dense_rank(std.down.sr),
pass.down.sr.rank = dense_rank(pass.down.sr),
havoc.rte.rank = dense_rank(desc(havoc.rte))
)
col_order <- c("defense", "ypp", "ypp.rank", "plays", "yards", "drives", "success.rte", "sr.rank", "rush.sr", "rush.sr.rank", "pass.sr", "pass.sr.rank",
"ypp.rush", "ypp.rush.rank", "ypp.pass", "ypp.pass.rank", "stuff.rte", "stuff.rte.rank",
"opp.rte", "opp.rte.rank", "exp.rte", "exp.rte.rank", "exp.rte.rush", "exp.rte.rush.rank",
"exp.rte.pass", "exp.rte.pass.rank", "avg.sr.gain", "avg.sr.gain.rank", "rush.rte", "rush.rte.rank", "std.down.rush.rte", "std.down.rush.rte.rank", "pass.down.rush.rte", "pass.down.rush.rte.rank", "yds.to.go.3d", "yds.to.go.3d.rank",
"redz.sr", "redz.sr.rank", "scor.opp.sr", "scor.opp.sr.rank", "short.rush.sr", "short.rush.sr.rank",
"touchdowns", "scor.opp.rte", "scor.opp.rte.rank", "scor.opp.tdrte","scor.opp.tdrte.rank", "redzone.dr","redzone.dr.rank", "redzone.td.rte", "redzone.td.rte.rank",
"sr.1d", "sr.1d.rank", "sr.2d", "sr.2d.rank", "sr.3d", "sr.3d.rank", "sr.4d","sr.4d.rank",
"std.down.sr", "std.down.sr.rank", "pass.down.sr", "pass.down.sr.rank", "havoc.rte", "havoc.rte.rank" )
season.stats.def <- season.stats.def[, col_order]
write.csv(season.stats.def, file = "season.stats.def.csv")
## standard down box score stats
std.down.stats <- advanced.stats2 %>%
filter(std.down == 1 & (rush == 1 | pass == 1)) %>%
group_by(offense, defense) %>%
summarize(
rush.rte = sum(rush)/sum(std.down),
success.rte = mean(success),
rush.sr = mean(success[rush==1]),
pass.sr = mean(success[pass==1]),
exp.rte = mean(exp_play),
exp.rte.rush = mean(exp_play[rush == 1]),
exp.rte.pass = mean(exp_play[pass == 1]),
havoc.rte = (sum(TFL.Solo + TFL.Assist + Pass.Broken.Up +
Pass.Intercepted + Fumble + qb.hurry)) / sum(rush + pass)
) %>% ungroup()
## passing down box score stats
pass.down.stats <- advanced.stats2 %>%
filter(pass.down == 1 & (rush == 1 | pass == 1)) %>%
group_by(offense, defense) %>%
summarize(
rush.rte = sum(rush)/sum(pass.down),
success.rte = mean(success),
rush.sr = mean(success[rush==1]),
pass.sr = mean(success[pass==1]),
exp.rte = mean(exp_play),
exp.rte.rush = mean(exp_play[rush == 1]),
exp.rte.pass = mean(exp_play[pass == 1]),
havoc.rte = (sum(TFL.Solo + TFL.Assist + Pass.Broken.Up +
Pass.Intercepted + Fumble + qb.hurry)) / sum(rush + pass)
) %>% ungroup()
## rusher box score stats
rb.stats <- advanced.stats2 %>%
filter(rush == 1) %>%
group_by(offense, defense, rushfirst, rushlast) %>%
summarise(
carries = sum(rush),
yards = sum(yardsgained),
success.rte = mean(success),
exp.rte = mean(exp_play),
stuff.rte = mean(stuffed_run),
opp.rate = mean(opp_rate_run),
short.rush.sr = ((sum(short_rush_success)) / (sum(short_rush_attempt)))
) %>% ungroup()
## receiver box score stats
wr.stats <- advanced.stats2 %>%
filter(pass == 1) %>%
group_by(offense, defense, receiverfirst, receiverlast) %>%
summarise(
pass.attempts = sum(pass),
receptions = sum(Completion),
drop.rte = mean(Dropped),
yards = sum(yardsgained),
success.rte = mean(success),
exp.rate = mean(exp_play)
) %>% ungroup()
## qb box score stats
qb.stats <- advanced.stats2 %>%
filter(pass == 1) %>%
group_by(offense, defense, passerfirst, passerlast) %>%
summarise(
dropbacks = sum(pass),
completions = sum(Completion),
incompletions = sum(pass[Sack==0]) - sum(Completion),
sacks = sum(Sack),
yards = sum(yardsgained),
completion.rte = mean(Completion[Sack==0]),
success.rte = mean(success),
exp.rate = mean(exp_play)
) %>% ungroup()
## defensive individual stats
defensive.stats1 <- advanced.stats2 %>%
filter((rush == 1 | pass == 1) & is.na(tackler1.first) == 0) %>%
group_by(offense, defense, tackler1.first, tackler1.last) %>%
rename(tackler.last = tackler1.last, tackler.first = tackler1.first) %>%
summarise(
total.havoc.plays = sum(TFL.Solo + TFL.Assist + Pass.Broken.Up + Pass.Intercepted +
Fumble + qb.hurry),
tackles.total = sum(Tackle.Solo + Tackle.Assist),
sack = sum(Sack.Solo + Sack.Assist),
tfls = sum(TFL.Solo + TFL.Assist),
hurries = sum(qb.hurry),
fumbles = sum(Fumble),
interceptions = sum(Pass.Intercepted),
)
defensive.stats2 <- advanced.stats2 %>%
filter((rush == 1 | pass == 1) & is.na(tackler2.first) == 0) %>%
group_by(offense, defense, tackler2.first, tackler2.last) %>%
rename(tackler.last = tackler2.last, tackler.first = tackler2.first) %>%
summarise(
total.havoc.plays = sum(TFL.Solo + TFL.Assist + Pass.Broken.Up + Pass.Intercepted +
Fumble + qb.hurry),
tackles.total = sum(Tackle.Solo + Tackle.Assist),
sack = sum(Sack.Solo + Sack.Assist),
tfls = sum(TFL.Solo + TFL.Assist),
hurries = sum(qb.hurry),
fumbles = sum(Fumble),
interceptions = sum(Pass.Intercepted),
)
defensive.stats <- rbind(defensive.stats1, defensive.stats2) %>%
group_by(offense, defense, tackler.first, tackler.last) %>%
summarize(
tackles.total = sum(tackles.total),
total.havoc.plays = sum(total.havoc.plays),
sack = sum(sack),
tfls = sum(tfls),
hurries = sum(hurries),
fumbles = sum(fumbles),
interceptions = sum(interceptions)
)
## rusher season stats
rb.season.stats <- advanced.stats2 %>%
filter(rush == 1) %>%
group_by(offense, rushfirst, rushlast) %>%
summarise(
plays = sum(rush),
yards = sum(yardsgained),
success.rte = mean(success),
exp.rte = mean(exp_play),
stuff.rte = mean(stuffed_run),
opp.rate = mean(opp_rate_run),
short.rush.sr = ((sum(short_rush_success)) / (sum(short_rush_attempt)))
) %>% ungroup()
## receiver season stats
wr.season.stats <- advanced.stats2 %>%
filter(pass == 1) %>%
group_by(offense, receiverfirst, receiverlast) %>%
summarise(
pass.attempts = sum(pass),
receptions = sum(Completion),
drop.rte = mean(Dropped),
yards = sum(yardsgained),
success.rte = mean(success),
exp.rate = mean(exp_play)
) %>% ungroup()
## qb season stats
qb.season.stats <- advanced.stats2 %>%
filter(pass == 1) %>%
group_by(offense, passerfirst, passerlast) %>%
summarise(
dropbacks = sum(pass),
completions = sum(Completion),
incompletions = sum(pass[Sack==0]) - sum(Completion),
yards = sum(yardsgained),
completion.rte = mean(Completion[Sack==0]),
success.rte = mean(success),
exp.rate = mean(exp_play)
) %>% ungroup()
## defensive season stats
defensive.season.stats1 <- advanced.stats2 %>%
filter((rush == 1 | pass == 1) & is.na(tackler1.first) == 0) %>%
group_by(defense, tackler1.first, tackler1.last) %>%
rename(tackler.last = tackler1.last, tackler.first = tackler1.first) %>%
summarise(
total.havoc.plays = sum(TFL.Solo + TFL.Assist + Pass.Broken.Up + Pass.Intercepted +
Fumble + qb.hurry),
tackles.total = sum(Tackle.Solo + Tackle.Assist),
sack = sum(Sack.Solo + Sack.Assist),
tfls = sum(TFL.Solo + TFL.Assist),
hurries = sum(qb.hurry),
fumbles = sum(Fumble),
interceptions = sum(Pass.Intercepted),
)
defensive.season.stats2 <- advanced.stats2 %>%
filter((rush == 1 | pass == 1) & is.na(tackler2.first) == 0) %>%
group_by(defense, tackler2.first, tackler2.last) %>%
rename(tackler.last = tackler2.last, tackler.first = tackler2.first) %>%
summarise(
total.havoc.plays = sum(TFL.Solo + TFL.Assist + Pass.Broken.Up + Pass.Intercepted +
Fumble + qb.hurry),
tackles.total = sum(Tackle.Solo + Tackle.Assist),
sack = sum(Sack.Solo + Sack.Assist),
tfls = sum(TFL.Solo + TFL.Assist),
hurries = sum(qb.hurry),
fumbles = sum(Fumble),
interceptions = sum(Pass.Intercepted),
)
defensive.season.stats <- rbind(defensive.season.stats1, defensive.season.stats2) %>%
group_by(defense, tackler.first, tackler.last) %>%
summarize(
tackles.total = sum(tackles.total),
total.havoc.plays = sum(total.havoc.plays),
sack = sum(sack),
tfls = sum(tfls),
hurries = sum(hurries),
fumbles = sum(fumbles),
interceptions = sum(interceptions)
)
## national averages 2019
season.averages <- advanced.stats2 %>%
filter(rush == 1 | pass == 1) %>%
summarize(
ypp = mean(yardsgained),
plays = sum(rush + pass),
yards = sum(yardsgained),
drives = n_distinct(game_drive),
success.rte = mean(success),
rush.sr = mean(success[rush==1]),
pass.sr = mean(success[pass==1]),
ypp.rush = mean(yardsgained[rush==1]),
ypp.pass = mean(yardsgained[pass==1]),
stuff.rte = mean(stuffed_run[rush==1]),
opp.rte = mean(opp_rate_run[rush==1]),
exp.rte = mean(exp_play),
exp.rte.rush = mean(exp_play[rush == 1]),
exp.rte.pass = mean(exp_play[pass == 1]),
avg.sr.gain = mean(yardsgained[success==1]),
rush.rte = sum(rush)/plays,
yds.to.go.3d = mean(Distance[Down==3]),
redz.sr = mean(success[rz_play == 1]),
scor.opp.sr = mean(success[so_play == 1]),
short.rush.sr = ((sum(short_rush_success)) / (sum(short_rush_attempt))),
scoring.opps = n_distinct(game_drive[so_drive == 1]),
touchdowns = sum(touchdown),
scor.opp.rte = scoring.opps / drives,
scor.opp.tdrte = touchdowns / scoring.opps,
redzone.dr = n_distinct(game_drive[rz_drive == 1])/n_distinct(game_drive),
redzone.td.rte = sum(touchdown[rz_play==1])/n_distinct(game_drive[rz_play==1]),
sr.1d = mean(success[Down == 1]),
sr.2d = mean(success[Down == 2]),
sr.3d = mean(success[Down == 3]),
sr.4d = mean(success[Down == 4]),
std.down.sr = mean(success[std.down == 1]),
pass.down.sr = mean(success[pass.down == 1]),
havoc.rte.allowed = (sum(TFL.Solo + TFL.Assist + Pass.Broken.Up +
Pass.Intercepted + Fumble + qb.hurry)) / sum(rush + pass)
) %>% ungroup()
write.csv(box.score.stats, file = "box.score.stats.csv")
write.csv(season.stats.off, file = "season.stats.off.csv")
write.csv(season.stats.def, file = "season.stats.def.csv")
write.csv(season.averages, file = "season.averages.csv")