inst/shiny-examples/PesPila/GetLeagueTable.R
In BauerMichael/PesPila:
# Conditioned table for the league data site. Copyright by Michael Bauer.
#
# Functions available:
# - GetLeagueTable(country, league, season)
TestPredict <- function(country, season, fHome, fAway, homeTable, awayTable, table) {
hParm <- ""
aParm <- ""
hProb <- rep(x = 0, times = 6)
aProb <- rep(x = 0, times = 6)
goals <- 0:5
ngoal <- length(goals)
mat <- data.frame(matrix(data = 0, nrow = ngoal, ncol = ngoal))
colnames(mat) <- 0:5
rownames(mat) <- 0:5
hWin <- 0
aWin <- 0
draw <- 0
tMax <- 0
tInd <- c()
InitDB()
home <- paste0("select A.Dist from ", homeTable, " A, Seasons B, Teams C, Countries D where B.Season = '", season, "' and A.Season_ID = B.Season_ID and C.Team = '", fHome, "' and A.Team_ID = C.Team_ID and D.Country = '", country, "' and A.Country_ID = D.Country_ID")
home <- as.character(dbGetQuery(conn = ppConn, statement = home)[1, "Dist"])
hStr <- strsplit(home, split = "_")[[1]]
if (hStr[1] == "Poisson") {
hParm <- paste0(hStr[1], "_Lambda")
} else if (hStr[1] == "ZIP") {
hParm <- paste0(hStr[1], c("_Phi", "_Lambda"))
} else if (hStr[1] == "Uniform") {
hParm <- paste0(hStr[1], c("_A", "_B"))
} else if (hStr[1] == "Geometric") {
hParm <- paste0(hStr[1], "_P")
} else if (hStr[1] == "NBD") {
hParm <- paste0(hStr[1], c("_K", "_P"))
}
query <- paste0("select ", paste0("A.", home), ", ", paste("A.", hParm, collapse = ","), " from ", homeTable, " A, Seasons B, Teams C, Countries D where B.Season = '", season, "' and A.Season_ID = B.Season_ID and C.Team = '", fHome, "' and A.Team_ID = C.Team_ID and D.Country = '", country, "' and A.Country_ID = D.Country_ID")
home <- dbGetQuery(conn = ppConn, statement = query)[1, ]
away <- paste0("select A.Dist from ", awayTable, " A, Seasons B, Teams C, Countries D where B.Season = '", season, "' and A.Season_ID = B.Season_ID and C.Team = '", fAway, "' and A.Team_ID = C.Team_ID and D.Country = '", country, "' and A.Country_ID = D.Country_ID")
away <- as.character(dbGetQuery(conn = ppConn, statement = away)[1, "Dist"])
aStr <- strsplit(away, split = "_")[[1]]
if (aStr[1] == "Poisson") {
aParm <- paste0(aStr[1], "_Lambda")
} else if (aStr[1] == "ZIP") {
aParm <- paste0(aStr[1], c("_Phi", "_Lambda"))
} else if (aStr[1] == "Uniform") {
aParm <- paste0(aStr[1], c("_A", "_B"))
} else if (aStr[1] == "Geometric") {
aParm <- paste0(aStr[1], "_P")
} else if (aStr[1] == "NBD") {
aParm <- paste0(aStr[1], c("_K", "_P"))
}
query <- paste0("select ", paste0("A.", away), ", ", paste("A.", aParm, collapse = ","), " from ", awayTable, " A, Seasons B, Teams C, Countries D where B.Season = '", season, "' and A.Season_ID = B.Season_ID and C.Team = '", fAway, "' and A.Team_ID = C.Team_ID and D.Country = '", country, "' and A.Country_ID = D.Country_ID")
away <- dbGetQuery(conn = ppConn, statement = query)[1, ]
dbDisconnect(conn = ppConn)
if (hStr[1] == "Poisson") {
hProb <- dpois(x = goals, lambda = home[1, "Poisson_Lambda"])
} else if (hStr[1] == "ZIP") {
hProb <- dzipois(x = goals, lambda = home[1, "ZIP_Lambda"], phi = home[1, "ZIP_Phi"])
} else if (hStr[1] == "Uniform") {
hProb[which(goals <= home[1, "Uniform_B"])] <- 1/(home[1, "Uniform_B"] - home[1, "Uniform_A"] + 1)
} else if (hStr[1] == "Geometric") {
hProb <- dgeom(x = goals, prob = home[1, "Geometric_P"])
} else if (hStr[1] == "NBD") {
hProb <- dnbinom(x = goals, mu = home[1, "NBD_K"], size = home[1, "NBD_P"])
}
if (aStr[1] == "Poisson") {
aProb <- dpois(x = goals, lambda = away[1, "Poisson_Lambda"])
} else if (aStr[1] == "ZIP") {
aProb <- dzipois(x = goals, lambda = away[1, "ZIP_Lambda"], phi = away[1, "ZIP_Phi"])
} else if (aStr[1] == "Uniform") {
aProb[which(goals <= away[1, "Uniform_B"])] <- 1/(away[1, "Uniform_B"] - away[1, "Uniform_A"] + 1)
} else if (aStr[1] == "Geometric") {
aProb <- dgeom(x = goals, prob = away[1, "Geometric_P"])
} else if (aStr[1] == "NBD") {
aProb <- dnbinom(x = goals, mu = away[1, "NBD_K"], size = away[1, "NBD_P"])
}
# xHome <- which(hProb == max(hProb)) - 1
# xAway <- which(aProb == max(aProb)) - 1
# tInd <- c(xHome, xAway)
for (i in 1:ngoal) {
for (j in 1:ngoal) {
mat[i, j] <- hProb[i] * aProb[j]
if (i == j) {
draw <- draw + mat[i, j] * 100
} else if (j > i) {
aWin <- aWin + mat[i, j] * 100
} else {
hWin <- hWin + mat[i, j] * 100
}
}
}
win <- "H"
if (aWin > hWin && aWin > draw) {
win <- "A"
}
if (draw > aWin && draw > hWin) {
win <- "D"
}
for (i in 1:ngoal) {
for (j in 1:ngoal) {
if (mat[i, j] >= tMax) {
tInd <- c(i-1, j-1)
if (hWin > 40) {
tInd[1] <- tInd[1] + 1
}
if (aWin > 40) {
tInd[2] <- tInd[2] + 1
}
tMax <- mat[i, j]
}
}
}
# if (draw > 25 && hWin > 40) {
# if (draw > 20 && hWin > 30) {
# for (i in 1:ngoal) {
# for (j in 1:i) {
# if (mat[i, j] >= tMax) {
# # tInd <- c(i, j)
# tInd <- c(i-1, j-1)
# tMax <- mat[i, j]
# }
# }
# }
# # } else if (draw > 25 && aWin > 40) {
# } else if (draw > 20 && aWin > 30) {
# win <- "A"
# for (i in 1:ngoal) {
# for (j in i:ngoal) {
# if (mat[i, j] >= tMax) {
# # tInd <- c(i, j)
# tInd <- c(i-1, j-1)
# tMax <- mat[i, j]
# }
# }
# }
# } else if (hWin > 35 && draw <= 20) {
# if (hWin > 40) {
# for (i in 2:ngoal) {
# for (j in 1:(i-1)) {
# if (mat[i, j] >= tMax) {
# tInd <- c(i-1, j-1)
# tMax <- mat[i, j]
# }
# }
# }
# }
# if (aWin > 40) {
# win <- "A"
# for (i in 2:ngoal) {
# for (j in (i-1):ngoal) {
# if (mat[i, j] >= tMax) {
# tInd <- c(i-1, j-1)
# tMax <- mat[i, j]
# }
# }
# }
# }
# if (draw > 40) {
# win <- "D"
# for (i in 1:ngoal) {
# if (mat[i, i] >= tMax) {
# tInd <- c(i-1, i-1)
# tMax <- mat[i, i]
# }
# }
# }
# if (hWin <= 40 && draw <= 40 && aWin <= 40) {
# if (hWin >= aWin && hWin >= draw) {
# for (i in 1:ngoal) {
# for (j in 1:(i-1)) {
# if (mat[i, j] >= tMax) {
# tInd <- c(i-1, j-1)
# tMax <- mat[i, j]
# }
# }
# }
# }
# if (aWin >= hWin && aWin >= draw) {
# win <- "A"
# for (i in 1:ngoal) {
# for (j in (i-1):ngoal) {
# if (mat[i, j] >= tMax) {
# tInd <- c(i-1, j-1)
# tMax <- mat[i, j]
# }
# }
# }
# }
# if (draw >= hWin && draw >= aWin) {
# win <- "D"
# for (i in 1:ngoal) {
# if (mat[i, i] >= tMax) {
# tInd <- c(i-1, i-1)
# tMax <- mat[i, i]
# }
# }
# }
# }
homeOdd <- if ((100/hWin) - 1 < 1) {1.0} else {(100/hWin) - 1}
drawOdd <- if ((100/draw) - 1 < 1) {1.0} else {(100/draw) - 1}
awayOdd <- if ((100/aWin) - 1 < 1) {1.0} else {(100/aWin) - 1}
out <- data.frame("hWin" = hWin, "draw" = draw, "aWin" = aWin, "homeOdd" = homeOdd, "drawOdd" = drawOdd,
"awayOdd" = awayOdd, "FTHG" = tInd[1], "FTAG" = tInd[2], "WIN" = win)#, "SWIN" = sWin)#, "WIN" = win, "sWIN" = sWin)
# rownames(mat) <- 0:5
# output[[table]] <- DT::renderDataTable({datatable(round(mat, 4), rownames = TRUE, escape = FALSE)})
print(out)
return (out)
}
GetLeagueTable <- function(country = "Germany", league = "1. Bundesliga", season = "15/16") {
# Get the conditioned data from the database.
#
# country: A selected country (string).
# league: The selected league (string).
# season: The selected season (string).
#
# Return: Returns a data.frame() with the corresponding league data.
InitDB()
query <- paste0("select * from ", country, " where Div = '", league, "' and Season = '", season, "'")
if (league == "All" && season != "All") {query <- paste0("select * from ", country, " where Season = '", season, "'")}
if (season == "All" && league != "All") {query <- paste0("select * from ", country, " where Div = '", league, "'")}
if (league == "All" && season == "All") {query <- paste0("select * from ", country)}
data <- dbGetQuery(conn = ppConn, statement = query)
dbDisconnect(conn = ppConn)
fFTHG <- rep(x = 0, times = nrow(data))
fFTAG <- rep(x = 0, times = nrow(data))
fFTR <- rep(x = 0, times = nrow(data))
fG <- rep(x = 0, times = nrow(data))
fR <- rep(x = 0, times = nrow(data))
win <- rep(x = 0, times = nrow(data))
# SCwin <- rep(x = "NULL", times = nrow(data))
# COwin <- rep(x = "NULL", times = nrow(data))
s <- c(data[, "FTHG"], data[, "FTAG"])
s <- sum(s)
# h <- sum(data[, "FTHG"])/nrow(data)
# a <- sum(data[, "FTAG"])/nrow(data)
h <- sum(data[, "FTHG"])/s
a <- sum(data[, "FTAG"])/s
# print(c("mean", mean(s), "sd" = sd(s)))
# print(c("mean", mean(data[, "FTHG"]), "sd" = sd(data[, "FTHG"])))
# print(c("mean", mean(data[, "FTAG"]), "sd" = sd(data[, "FTAG"])))
# s <- mean(s)
for (i in 1:nrow(data)) {
test <- GetHomeVsAway(country = country, home = data[i, "HomeTeam"], away = data[i, "AwayTeam"])
SvS <- TestPredict(country = country, season = season, fHome = data[i, "HomeTeam"], fAway = data[i, "AwayTeam"], homeTable = "Scored", awayTable = "Scored", table = "SvS")
CvC <- TestPredict(country = country, season = season, fHome = data[i, "HomeTeam"], fAway = data[i, "AwayTeam"], homeTable = "Conceded", awayTable = "Conceded", table = "CvC")
s <- as.numeric(test[1, "FTHG"]) + as.numeric(test[1, "FTAG"])
if (s == 0) {s <- 1}
# H <- (SvS[1, "FTHG"] + CvC[1, "FTHG"]) * (as.numeric(test[1, "FTHG"]) / s)
# A <- (SvS[1, "FTAG"] + CvC[1, "FTAG"]) * (as.numeric(test[1, "FTAG"]) / s)
H <- (SvS[1, "FTHG"] + CvC[1, "FTAG"]) * as.numeric(test[1, "FTHG"])/3# - 3*sd(data[, "FTHG"])# + h)# * (as.numeric(test[1, "FTHG"]) / s)
A <- (SvS[1, "FTAG"] + CvC[1, "FTHG"]) * as.numeric(test[1, "FTAG"])/3# - 3*sd(data[, "FTAG"])# + a)# * (as.numeric(test[1, "FTAG"]) / s)
# H <- (SvS[1, "FTHG"] + CvC[1, "FTAG"] + as.numeric(test[1, "FTHG"]) - mean(data[, "FTHG"]) + h)# * (as.numeric(test[1, "FTHG"]) / s)
# A <- (SvS[1, "FTAG"] + CvC[1, "FTHG"] + as.numeric(test[1, "FTAG"]) - mean(data[, "FTAG"]) + a)# * (as.numeric(test[1, "FTAG"]) / s)
# H <- (SvS[1, "FTHG"] + CvC[1, "FTHG"]) * (sum(data[, "FTHG"])/sum(s))
# A <- (SvS[1, "FTAG"] + CvC[1, "FTAG"]) * (sum(data[, "FTAG"])/sum(s))
# H <- (SvS[1, "FTHG"] + CvC[1, "FTHG"] * as.numeric(test[2, "FTHG"])) / 3
# A <- (SvS[1, "FTAG"] + CvC[1, "FTAG"] * as.numeric(test[2, "FTAG"])) / 3
# H <- (SvS[1, "FTHG"] + CvC[1, "FTHG"] + as.numeric(test[1, "FTHG"])) / 3
# A <- (SvS[1, "FTAG"] + CvC[1, "FTAG"] + as.numeric(test[1, "FTAG"])) / 3
H <- round(H, 0)
A <- round(A, 0)
fFTHG[i] <- H
fFTAG[i] <- A
# fFTHG[i] <- round(H, 0)
# fFTAG[i] <- round(A, 0)
if (H > A) {
fFTR[i] <- "H"
}
if (H == A) {
fFTR[i] <- "D"
}
if (A > H) {
fFTR[i] <- "A"
}
if (H == data[i, "FTHG"] && A == data[i, "FTAG"]) {
fG[i] <- TRUE
} else {
fG[i] <- FALSE
}
if (fFTR[i] == data[i, "FTR"]) {
fR[i] <- TRUE
} else {
fR[i] <- FALSE
}
if (SvS[1, "WIN"] == data[i, "FTR"]) {
win[i] <- TRUE
} else {
win[i] <- FALSE
}
fG[i] <- SvS[1, "hWin"]
fR[i] <- SvS[1, "draw"]
win[i] <- SvS[1, "aWin"]
}
data <- cbind(data[, c("HomeTeam", "AwayTeam", "FTHG", "FTAG", "FTR")], "Home" = fG, "Draw" = fR, "Away" = win)#, "SCwin" = SCwin, "COwin" = COwin)#, "WIN" = win, "sWIN" = sWin)
# data <- cbind(data[, c("HomeTeam", "AwayTeam", "FTHG", "FTAG")], "fFTHG" = fFTHG, "fFTAG" = fFTAG, "FTR" = data[, "FTR"], "fFTR" = fFTR, "fG" = fG, "fR" = fR, "WIN" = win)#, "SCwin" = SCwin, "COwin" = COwin)#, "WIN" = win, "sWIN" = sWin)
# data <- rbind(data[1, ], data)
# a <- as.character(length(which(data[2:nrow(data), "fG"] == TRUE)))
# a1 <- as.character(length(which((data$fFTR == "A" & data$FTR == "D") | (data$fFTR == "D" & data$FTR == "A"))))
# a2 <- as.character(length(which((data$fFTR == "H" & data$FTR == "D") | (data$fFTR == "D" & data$FTR == "H"))))
# a3 <- as.character(length(which((data$fFTR == "A" & data$FTR == "H") | (data$fFTR == "H" & data$FTR == "A"))))
# b <- as.character(length(which(data[2:nrow(data), "fR"] == TRUE)))
# c <- as.character(length(which(data[2:nrow(data), "WIN"] == TRUE)))
# print(c(a1, a2, a3))
# data[1, "FTR"] <- a1
# data[1, "fFTR"] <- a2
# data[1, "fG"] <- a
# data[1, "fR"] <- b
# data[1, "WIN"] <- c
return (data)
} # END GetLeagueTable
BauerMichael/PesPila documentation built on May 5, 2019, 10:31 a.m.
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# Conditioned table for the league data site. Copyright by Michael Bauer.
#
# Functions available:
# - GetLeagueTable(country, league, season)
TestPredict <- function(country, season, fHome, fAway, homeTable, awayTable, table) {
hParm <- ""
aParm <- ""
hProb <- rep(x = 0, times = 6)
aProb <- rep(x = 0, times = 6)
goals <- 0:5
ngoal <- length(goals)
mat <- data.frame(matrix(data = 0, nrow = ngoal, ncol = ngoal))
colnames(mat) <- 0:5
rownames(mat) <- 0:5
hWin <- 0
aWin <- 0
draw <- 0
tMax <- 0
tInd <- c()
InitDB()
home <- paste0("select A.Dist from ", homeTable, " A, Seasons B, Teams C, Countries D where B.Season = '", season, "' and A.Season_ID = B.Season_ID and C.Team = '", fHome, "' and A.Team_ID = C.Team_ID and D.Country = '", country, "' and A.Country_ID = D.Country_ID")
home <- as.character(dbGetQuery(conn = ppConn, statement = home)[1, "Dist"])
hStr <- strsplit(home, split = "_")[[1]]
if (hStr[1] == "Poisson") {
hParm <- paste0(hStr[1], "_Lambda")
} else if (hStr[1] == "ZIP") {
hParm <- paste0(hStr[1], c("_Phi", "_Lambda"))
} else if (hStr[1] == "Uniform") {
hParm <- paste0(hStr[1], c("_A", "_B"))
} else if (hStr[1] == "Geometric") {
hParm <- paste0(hStr[1], "_P")
} else if (hStr[1] == "NBD") {
hParm <- paste0(hStr[1], c("_K", "_P"))
}
query <- paste0("select ", paste0("A.", home), ", ", paste("A.", hParm, collapse = ","), " from ", homeTable, " A, Seasons B, Teams C, Countries D where B.Season = '", season, "' and A.Season_ID = B.Season_ID and C.Team = '", fHome, "' and A.Team_ID = C.Team_ID and D.Country = '", country, "' and A.Country_ID = D.Country_ID")
home <- dbGetQuery(conn = ppConn, statement = query)[1, ]
away <- paste0("select A.Dist from ", awayTable, " A, Seasons B, Teams C, Countries D where B.Season = '", season, "' and A.Season_ID = B.Season_ID and C.Team = '", fAway, "' and A.Team_ID = C.Team_ID and D.Country = '", country, "' and A.Country_ID = D.Country_ID")
away <- as.character(dbGetQuery(conn = ppConn, statement = away)[1, "Dist"])
aStr <- strsplit(away, split = "_")[[1]]
if (aStr[1] == "Poisson") {
aParm <- paste0(aStr[1], "_Lambda")
} else if (aStr[1] == "ZIP") {
aParm <- paste0(aStr[1], c("_Phi", "_Lambda"))
} else if (aStr[1] == "Uniform") {
aParm <- paste0(aStr[1], c("_A", "_B"))
} else if (aStr[1] == "Geometric") {
aParm <- paste0(aStr[1], "_P")
} else if (aStr[1] == "NBD") {
aParm <- paste0(aStr[1], c("_K", "_P"))
}
query <- paste0("select ", paste0("A.", away), ", ", paste("A.", aParm, collapse = ","), " from ", awayTable, " A, Seasons B, Teams C, Countries D where B.Season = '", season, "' and A.Season_ID = B.Season_ID and C.Team = '", fAway, "' and A.Team_ID = C.Team_ID and D.Country = '", country, "' and A.Country_ID = D.Country_ID")
away <- dbGetQuery(conn = ppConn, statement = query)[1, ]
dbDisconnect(conn = ppConn)
if (hStr[1] == "Poisson") {
hProb <- dpois(x = goals, lambda = home[1, "Poisson_Lambda"])
} else if (hStr[1] == "ZIP") {
hProb <- dzipois(x = goals, lambda = home[1, "ZIP_Lambda"], phi = home[1, "ZIP_Phi"])
} else if (hStr[1] == "Uniform") {
hProb[which(goals <= home[1, "Uniform_B"])] <- 1/(home[1, "Uniform_B"] - home[1, "Uniform_A"] + 1)
} else if (hStr[1] == "Geometric") {
hProb <- dgeom(x = goals, prob = home[1, "Geometric_P"])
} else if (hStr[1] == "NBD") {
hProb <- dnbinom(x = goals, mu = home[1, "NBD_K"], size = home[1, "NBD_P"])
}
if (aStr[1] == "Poisson") {
aProb <- dpois(x = goals, lambda = away[1, "Poisson_Lambda"])
} else if (aStr[1] == "ZIP") {
aProb <- dzipois(x = goals, lambda = away[1, "ZIP_Lambda"], phi = away[1, "ZIP_Phi"])
} else if (aStr[1] == "Uniform") {
aProb[which(goals <= away[1, "Uniform_B"])] <- 1/(away[1, "Uniform_B"] - away[1, "Uniform_A"] + 1)
} else if (aStr[1] == "Geometric") {
aProb <- dgeom(x = goals, prob = away[1, "Geometric_P"])
} else if (aStr[1] == "NBD") {
aProb <- dnbinom(x = goals, mu = away[1, "NBD_K"], size = away[1, "NBD_P"])
}
# xHome <- which(hProb == max(hProb)) - 1
# xAway <- which(aProb == max(aProb)) - 1
# tInd <- c(xHome, xAway)
for (i in 1:ngoal) {
for (j in 1:ngoal) {
mat[i, j] <- hProb[i] * aProb[j]
if (i == j) {
draw <- draw + mat[i, j] * 100
} else if (j > i) {
aWin <- aWin + mat[i, j] * 100
} else {
hWin <- hWin + mat[i, j] * 100
}
}
}
win <- "H"
if (aWin > hWin && aWin > draw) {
win <- "A"
}
if (draw > aWin && draw > hWin) {
win <- "D"
}
for (i in 1:ngoal) {
for (j in 1:ngoal) {
if (mat[i, j] >= tMax) {
tInd <- c(i-1, j-1)
if (hWin > 40) {
tInd[1] <- tInd[1] + 1
}
if (aWin > 40) {
tInd[2] <- tInd[2] + 1
}
tMax <- mat[i, j]
}
}
}
# if (draw > 25 && hWin > 40) {
# if (draw > 20 && hWin > 30) {
# for (i in 1:ngoal) {
# for (j in 1:i) {
# if (mat[i, j] >= tMax) {
# # tInd <- c(i, j)
# tInd <- c(i-1, j-1)
# tMax <- mat[i, j]
# }
# }
# }
# # } else if (draw > 25 && aWin > 40) {
# } else if (draw > 20 && aWin > 30) {
# win <- "A"
# for (i in 1:ngoal) {
# for (j in i:ngoal) {
# if (mat[i, j] >= tMax) {
# # tInd <- c(i, j)
# tInd <- c(i-1, j-1)
# tMax <- mat[i, j]
# }
# }
# }
# } else if (hWin > 35 && draw <= 20) {
# if (hWin > 40) {
# for (i in 2:ngoal) {
# for (j in 1:(i-1)) {
# if (mat[i, j] >= tMax) {
# tInd <- c(i-1, j-1)
# tMax <- mat[i, j]
# }
# }
# }
# }
# if (aWin > 40) {
# win <- "A"
# for (i in 2:ngoal) {
# for (j in (i-1):ngoal) {
# if (mat[i, j] >= tMax) {
# tInd <- c(i-1, j-1)
# tMax <- mat[i, j]
# }
# }
# }
# }
# if (draw > 40) {
# win <- "D"
# for (i in 1:ngoal) {
# if (mat[i, i] >= tMax) {
# tInd <- c(i-1, i-1)
# tMax <- mat[i, i]
# }
# }
# }
# if (hWin <= 40 && draw <= 40 && aWin <= 40) {
# if (hWin >= aWin && hWin >= draw) {
# for (i in 1:ngoal) {
# for (j in 1:(i-1)) {
# if (mat[i, j] >= tMax) {
# tInd <- c(i-1, j-1)
# tMax <- mat[i, j]
# }
# }
# }
# }
# if (aWin >= hWin && aWin >= draw) {
# win <- "A"
# for (i in 1:ngoal) {
# for (j in (i-1):ngoal) {
# if (mat[i, j] >= tMax) {
# tInd <- c(i-1, j-1)
# tMax <- mat[i, j]
# }
# }
# }
# }
# if (draw >= hWin && draw >= aWin) {
# win <- "D"
# for (i in 1:ngoal) {
# if (mat[i, i] >= tMax) {
# tInd <- c(i-1, i-1)
# tMax <- mat[i, i]
# }
# }
# }
# }
homeOdd <- if ((100/hWin) - 1 < 1) {1.0} else {(100/hWin) - 1}
drawOdd <- if ((100/draw) - 1 < 1) {1.0} else {(100/draw) - 1}
awayOdd <- if ((100/aWin) - 1 < 1) {1.0} else {(100/aWin) - 1}
out <- data.frame("hWin" = hWin, "draw" = draw, "aWin" = aWin, "homeOdd" = homeOdd, "drawOdd" = drawOdd,
"awayOdd" = awayOdd, "FTHG" = tInd[1], "FTAG" = tInd[2], "WIN" = win)#, "SWIN" = sWin)#, "WIN" = win, "sWIN" = sWin)
# rownames(mat) <- 0:5
# output[[table]] <- DT::renderDataTable({datatable(round(mat, 4), rownames = TRUE, escape = FALSE)})
print(out)
return (out)
}
GetLeagueTable <- function(country = "Germany", league = "1. Bundesliga", season = "15/16") {
# Get the conditioned data from the database.
#
# country: A selected country (string).
# league: The selected league (string).
# season: The selected season (string).
#
# Return: Returns a data.frame() with the corresponding league data.
InitDB()
query <- paste0("select * from ", country, " where Div = '", league, "' and Season = '", season, "'")
if (league == "All" && season != "All") {query <- paste0("select * from ", country, " where Season = '", season, "'")}
if (season == "All" && league != "All") {query <- paste0("select * from ", country, " where Div = '", league, "'")}
if (league == "All" && season == "All") {query <- paste0("select * from ", country)}
data <- dbGetQuery(conn = ppConn, statement = query)
dbDisconnect(conn = ppConn)
fFTHG <- rep(x = 0, times = nrow(data))
fFTAG <- rep(x = 0, times = nrow(data))
fFTR <- rep(x = 0, times = nrow(data))
fG <- rep(x = 0, times = nrow(data))
fR <- rep(x = 0, times = nrow(data))
win <- rep(x = 0, times = nrow(data))
# SCwin <- rep(x = "NULL", times = nrow(data))
# COwin <- rep(x = "NULL", times = nrow(data))
s <- c(data[, "FTHG"], data[, "FTAG"])
s <- sum(s)
# h <- sum(data[, "FTHG"])/nrow(data)
# a <- sum(data[, "FTAG"])/nrow(data)
h <- sum(data[, "FTHG"])/s
a <- sum(data[, "FTAG"])/s
# print(c("mean", mean(s), "sd" = sd(s)))
# print(c("mean", mean(data[, "FTHG"]), "sd" = sd(data[, "FTHG"])))
# print(c("mean", mean(data[, "FTAG"]), "sd" = sd(data[, "FTAG"])))
# s <- mean(s)
for (i in 1:nrow(data)) {
test <- GetHomeVsAway(country = country, home = data[i, "HomeTeam"], away = data[i, "AwayTeam"])
SvS <- TestPredict(country = country, season = season, fHome = data[i, "HomeTeam"], fAway = data[i, "AwayTeam"], homeTable = "Scored", awayTable = "Scored", table = "SvS")
CvC <- TestPredict(country = country, season = season, fHome = data[i, "HomeTeam"], fAway = data[i, "AwayTeam"], homeTable = "Conceded", awayTable = "Conceded", table = "CvC")
s <- as.numeric(test[1, "FTHG"]) + as.numeric(test[1, "FTAG"])
if (s == 0) {s <- 1}
# H <- (SvS[1, "FTHG"] + CvC[1, "FTHG"]) * (as.numeric(test[1, "FTHG"]) / s)
# A <- (SvS[1, "FTAG"] + CvC[1, "FTAG"]) * (as.numeric(test[1, "FTAG"]) / s)
H <- (SvS[1, "FTHG"] + CvC[1, "FTAG"]) * as.numeric(test[1, "FTHG"])/3# - 3*sd(data[, "FTHG"])# + h)# * (as.numeric(test[1, "FTHG"]) / s)
A <- (SvS[1, "FTAG"] + CvC[1, "FTHG"]) * as.numeric(test[1, "FTAG"])/3# - 3*sd(data[, "FTAG"])# + a)# * (as.numeric(test[1, "FTAG"]) / s)
# H <- (SvS[1, "FTHG"] + CvC[1, "FTAG"] + as.numeric(test[1, "FTHG"]) - mean(data[, "FTHG"]) + h)# * (as.numeric(test[1, "FTHG"]) / s)
# A <- (SvS[1, "FTAG"] + CvC[1, "FTHG"] + as.numeric(test[1, "FTAG"]) - mean(data[, "FTAG"]) + a)# * (as.numeric(test[1, "FTAG"]) / s)
# H <- (SvS[1, "FTHG"] + CvC[1, "FTHG"]) * (sum(data[, "FTHG"])/sum(s))
# A <- (SvS[1, "FTAG"] + CvC[1, "FTAG"]) * (sum(data[, "FTAG"])/sum(s))
# H <- (SvS[1, "FTHG"] + CvC[1, "FTHG"] * as.numeric(test[2, "FTHG"])) / 3
# A <- (SvS[1, "FTAG"] + CvC[1, "FTAG"] * as.numeric(test[2, "FTAG"])) / 3
# H <- (SvS[1, "FTHG"] + CvC[1, "FTHG"] + as.numeric(test[1, "FTHG"])) / 3
# A <- (SvS[1, "FTAG"] + CvC[1, "FTAG"] + as.numeric(test[1, "FTAG"])) / 3
H <- round(H, 0)
A <- round(A, 0)
fFTHG[i] <- H
fFTAG[i] <- A
# fFTHG[i] <- round(H, 0)
# fFTAG[i] <- round(A, 0)
if (H > A) {
fFTR[i] <- "H"
}
if (H == A) {
fFTR[i] <- "D"
}
if (A > H) {
fFTR[i] <- "A"
}
if (H == data[i, "FTHG"] && A == data[i, "FTAG"]) {
fG[i] <- TRUE
} else {
fG[i] <- FALSE
}
if (fFTR[i] == data[i, "FTR"]) {
fR[i] <- TRUE
} else {
fR[i] <- FALSE
}
if (SvS[1, "WIN"] == data[i, "FTR"]) {
win[i] <- TRUE
} else {
win[i] <- FALSE
}
fG[i] <- SvS[1, "hWin"]
fR[i] <- SvS[1, "draw"]
win[i] <- SvS[1, "aWin"]
}
data <- cbind(data[, c("HomeTeam", "AwayTeam", "FTHG", "FTAG", "FTR")], "Home" = fG, "Draw" = fR, "Away" = win)#, "SCwin" = SCwin, "COwin" = COwin)#, "WIN" = win, "sWIN" = sWin)
# data <- cbind(data[, c("HomeTeam", "AwayTeam", "FTHG", "FTAG")], "fFTHG" = fFTHG, "fFTAG" = fFTAG, "FTR" = data[, "FTR"], "fFTR" = fFTR, "fG" = fG, "fR" = fR, "WIN" = win)#, "SCwin" = SCwin, "COwin" = COwin)#, "WIN" = win, "sWIN" = sWin)
# data <- rbind(data[1, ], data)
# a <- as.character(length(which(data[2:nrow(data), "fG"] == TRUE)))
# a1 <- as.character(length(which((data$fFTR == "A" & data$FTR == "D") | (data$fFTR == "D" & data$FTR == "A"))))
# a2 <- as.character(length(which((data$fFTR == "H" & data$FTR == "D") | (data$fFTR == "D" & data$FTR == "H"))))
# a3 <- as.character(length(which((data$fFTR == "A" & data$FTR == "H") | (data$fFTR == "H" & data$FTR == "A"))))
# b <- as.character(length(which(data[2:nrow(data), "fR"] == TRUE)))
# c <- as.character(length(which(data[2:nrow(data), "WIN"] == TRUE)))
# print(c(a1, a2, a3))
# data[1, "FTR"] <- a1
# data[1, "fFTR"] <- a2
# data[1, "fG"] <- a
# data[1, "fR"] <- b
# data[1, "WIN"] <- c
return (data)
} # END GetLeagueTable
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