def WhuLei1():
WHUBalancedMean = np.mean([WHUOGoals.mean(), LEIDGoals.mean()])
LEIBalancedMean = np.mean([LEIOGoals.mean(), WHUDGoals.mean()])
q = 5
sim_poissonWHULEI(nums, WHUBalancedMean.mean(), LEIBalancedMean.mean())
distA, distB = sim_poissonWHULEI(10000)
winPercent(distA, distB, q)
def sim_poissonWHULEI(nums, mean1=WHUOGoals.mean() + LEIDGoals.mean(), mean2=LEIOGoals.mean() + WHUDGoals.mean()):
n = 1
while n < nums:
dist1 = nr.poisson(lam=mean1, size=n)
dist2 = nr.poisson(lam=mean2, size=n)
n = n + 1
return (dist1, dist2)
def LeiMci1():
LEIBalancedMean = np.mean([LEIOGoals.mean(), MCIDGoals.mean()])
MCIBalancedMean = np.mean([MCIOGoals.mean(), LEIDGoals.mean()])
q = 3
sim_poissonLEIMCI(nums, LEIBalancedMean.mean(), MCIBalancedMean.mean())
distA, distB = sim_poissonLEIMCI(10000)
winPercent(distA, distB, q)
def LeiCry1():
LEIBalancedMean = np.mean([LEIOGoals.mean(), CRYDGoals.mean()])
CRYBalancedMean = np.mean([CRYOGoals.mean(), LEIDGoals.mean()])
q = 8
sim_poissonLEICRY(nums, LEIBalancedMean.mean(), CRYBalancedMean.mean())
distA, distB = sim_poissonLEICRY(10000)
winPercent(distA, distB, q)
def sim_poissonLEICRY(nums,
mean1=LEIOGoals.mean() + CRYDGoals.mean(),
mean2=CRYOGoals.mean() + LEIDGoals.mean()):
n = 1
while n < nums:
dist1 = nr.poisson(lam=mean1, size=n)
dist2 = nr.poisson(lam=mean2, size=n)
n = n + 1
return (dist1, dist2)
def TipicoFirstGame(game_menu2, game_menu_frame2, q):
driver_path = r"C:\Users\ellio\Downloads\chromedriver.exe"
brave_path = r"C:\Program Files\BraveSoftware\Brave-Browser\Application\brave.exe"
option = webdriver.ChromeOptions()
option.binary_location = brave_path
browser = webdriver.Chrome(executable_path=driver_path, options=option)
browser.get(
"file:///C:/Users/ellio/OneDrive/Documents/AA Project/aaa/TipicoWebsite/gw 30 eg tipico.html"
)
# https://sports.tipico.de/de/alle/1101/1201,32201,30201/1301,36301,42301
col_names = ['Tipp 1', 'Tipp X', 'Tipp 2']
lst_odds_tipp1 = []
lst_odds_tippX = []
lst_odds_tipp2 = []
time.sleep(5)
for i in range(1, 10):
odds_tipp1 = browser.find_element_by_xpath(
'/html/body/div[1]/main/main/section/div/div/div[2]/div/a[' +
str(q) + ']/div[3]/div/div/button[1]/span').text
odds_tippX = browser.find_element_by_xpath(
'/html/body/div[1]/main/main/section/div/div/div[2]/div/a[' +
str(q) + ']/div[3]/div/div/button[2]/span').text
odds_tipp2 = browser.find_element_by_xpath(
'/html/body/div[1]/main/main/section/div/div/div[2]/div/a[' +
str(q) + ']/div[3]/div/div/button[3]/span').text
lst_odds_tipp1.append(odds_tipp1)
lst_odds_tippX.append(odds_tippX)
lst_odds_tipp2.append(odds_tipp2)
df = pd.DataFrame(np.column_stack(
[lst_odds_tipp1, lst_odds_tippX, lst_odds_tipp2]),
columns=col_names)
df.style.hide_index()
# Depending on the fixture, a different X path is needed to be inputted
if q == 1:
row = 1
row2 = 1
HomeWin = df.loc[0, 'Tipp 1']
HomeWinP1 = int(HomeWin[0:1])
HomeWinP2 = int(HomeWin[2:4])
HomeWinP2New = HomeWinP2 / 100
HomeFinal = HomeWinP1 + HomeWinP2New
HomeSub1 = 1 / HomeFinal
HomeFinalNew = HomeSub1 * 100
AwayWin = df.loc[0, 'Tipp 2']
AwayWinP1 = int(AwayWin[0:1])
AwayWinP2 = int(AwayWin[2:4])
AwayWinP2New = AwayWinP2 / 100
AwayFinal = AwayWinP1 + AwayWinP2New
AwaySub1 = 1 / AwayFinal
AwayFinalNew = AwaySub1 * 100
Draw = df.loc[0, 'Tipp X']
DrawP1 = int(Draw[0])
DrawP2 = int(Draw[2:4])
DrawP2New = DrawP2 / 100
DrawFinal = DrawP1 + DrawP2New
DrawSub1 = 1 / DrawFinal
DrawFinalNew = DrawSub1 * 100
Label(game_menu_frame2,
text="Chelsea vs West Brom ",
bd=2,
fg='#000000',
pady=5,
font=('Arial', 14, 'bold')).pack()
Label(game_menu_frame2, text="Tipico's probability ").place(x=50,
y=100)
Label(game_menu_frame2,
text="Home win: " +
str(float("{0:.2f}".format(HomeFinalNew)))).place(x=50, y=125)
Label(game_menu_frame2,
text="Away win: " +
str(float("{0:.2f}".format(AwayFinalNew)))).place(x=50, y=150)
Label(game_menu_frame2,
text="Draw: " +
str(float("{0:.2f}".format(DrawFinalNew)))).place(x=50, y=175)
# If my model has a value higher than the bookmakers plus 8% then it recommends betting
if Team1WinPercent > HomeFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Home win").place(x=50,
y=200)
elif Team2WinPercent > AwayFinalNew + 8:
Label(game_menu_frame2, text="Bet on an Away win").place(x=50,
y=200)
elif DrawPercent > DrawFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Draw").place(x=50, y=200)
else:
Label(game_menu_frame2, text="Ignore this bet").place(x=50, y=200)
# Predicts a scoreline by comparing finding the mean of each teams offense and defence strength
CHEBalancedMean1 = np.mean([CHEOGoals.mean(), WBADGoals.mean()])
WBABalancedMean1 = np.mean([WBAOGoals.mean(), CHEDGoals.mean()])
roundedChe = round(CHEBalancedMean1)
roundedWBA = round(WBABalancedMean1)
Label(game_menu_frame2,
text="Predicted Score line: Chelsea " + str(roundedChe) + " : " +
str(roundedWBA) + " West Brom").place(x=30, y=50)
Betway(game_menu2, game_menu_frame2, q, row, row2)
# Repeats for all fixtures using the different X-Path values set
if q == 2:
row = 1
row2 = 2
HomeWin = df.loc[0, 'Tipp 1']
HomeWinP1 = int(HomeWin[0])
HomeWinP2 = int(HomeWin[2:4])
HomeWinP2New = HomeWinP2 / 100
HomeFinal = HomeWinP1 + HomeWinP2New
HomeSub1 = 1 / HomeFinal
HomeFinalNew = HomeSub1 * 100
AwayWin = df.loc[0, 'Tipp 2']
AwayWinP1 = int(AwayWin[0])
AwayWinP2 = int(AwayWin[2:4])
AwayWinP2New = AwayWinP2 / 100
AwayFinal = AwayWinP1 + AwayWinP2New
AwaySub1 = 1 / AwayFinal
AwayFinalNew = AwaySub1 * 100
Draw = df.loc[0, 'Tipp X']
DrawP1 = int(Draw[0])
DrawP2 = int(Draw[2:4])
DrawP2New = DrawP2 / 100
DrawFinal = DrawP1 + DrawP2New
DrawSub1 = 1 / DrawFinal
DrawFinalNew = DrawSub1 * 100
Label(game_menu_frame2,
text="Leeds United vs Sheffield United",
bd=2,
fg='#000000',
pady=5,
font=('Arial', 14, 'bold')).pack()
Label(game_menu_frame2, text="Tipico's Probability ").place(x=30,
y=100)
Label(game_menu_frame2,
text="Home win: " +
str(float("{0:.2f}".format(HomeFinalNew)))).place(x=30, y=125)
Label(game_menu_frame2,
text="Away win: " +
str(float("{0:.2f}".format(AwayFinalNew)))).place(x=30, y=150)
Label(game_menu_frame2,
text="Draw: " +
str(float("{0:.2f}".format(DrawFinalNew)))).place(x=30, y=175)
if Team1WinPercent > HomeFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Home win").place(x=30,
y=200)
elif Team2WinPercent > AwayFinalNew + 8:
Label(game_menu_frame2, text="Bet on an Away win").place(x=30,
y=200)
elif DrawPercent > DrawFinalNew + 8:
Label(game_menu_frame2, text="Bet on a draw").place(x=30, y=200)
else:
Label(game_menu_frame2, text="Ignore this bet").place(x=30, y=200)
SHUBalancedMean = np.mean([SHUOGoals.mean(), LEEDGoals.mean()])
LEEBalancedMean = np.mean([LEEOGoals.mean(), SHUDGoals.mean()])
roundedLEE = round(LEEBalancedMean)
roundedSHU = round(SHUBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Leeds United " + str(roundedLEE) +
" : " + str(roundedSHU) + " Sheffield united").place(x=30, y=50)
Betway(game_menu2, game_menu_frame2, q, row, row2)
if q == 3:
row = 1
row2 = 3
HomeWin = df.loc[0, 'Tipp 1']
HomeWinP1 = int(HomeWin[0])
HomeWinP2 = int(HomeWin[2:4])
HomeWinP2New = HomeWinP2 / 100
HomeFinal = HomeWinP1 + HomeWinP2New
HomeSub1 = 1 / HomeFinal
HomeFinalNew = HomeSub1 * 100
AwayWin = df.loc[0, 'Tipp 2']
AwayWinP1 = int(AwayWin[0])
AwayWinP2 = int(AwayWin[2:4])
AwayWinP2New = AwayWinP2 / 100
AwayFinal = AwayWinP1 + AwayWinP2New
AwaySub1 = 1 / AwayFinal
AwayFinalNew = AwaySub1 * 100
Draw = df.loc[0, 'Tipp X']
DrawP1 = int(Draw[0])
DrawP2 = int(Draw[2:4])
DrawP2New = DrawP2 / 100
DrawFinal = DrawP1 + DrawP2New
DrawSub1 = 1 / DrawFinal
DrawFinalNew = DrawSub1 * 100
Label(game_menu_frame2,
text="Leicester City vs Manchester City",
bd=2,
fg='#000000',
pady=5,
font=('Arial', 14, 'bold')).pack()
Label(game_menu_frame2, text="Tipico's Probability ").place(x=30,
y=100)
Label(game_menu_frame2,
text="Home win: " +
str(float("{0:.2f}".format(HomeFinalNew)))).place(x=30, y=125)
Label(game_menu_frame2,
text="Away win: " +
str(float("{0:.2f}".format(AwayFinalNew)))).place(x=30, y=150)
Label(game_menu_frame2,
text="Draw: " +
str(float("{0:.2f}".format(DrawFinalNew)))).place(x=30, y=175)
if Team1WinPercent > HomeFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Home win").place(x=30,
y=200)
elif Team2WinPercent > AwayFinalNew + 8:
Label(game_menu_frame2, text="Bet on an Away win").place(x=30,
y=200)
elif DrawPercent > DrawFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Draw").place(x=30, y=200)
else:
Label(game_menu_frame2, text="Ignore this bet").place(x=30, y=200)
LEIBalancedMean = np.mean([LEIOGoals.mean(), MCIDGoals.mean()])
MCIBalancedMean = np.mean([MCIOGoals.mean(), LEIDGoals.mean()])
roundedLEI = round(LEIBalancedMean)
roundedMCI = round(MCIBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Leicester City " + str(roundedLEI) +
" : " + str(roundedMCI) + " Manchester City").place(x=30, y=50)
Betway(game_menu2, game_menu_frame2, q, row, row2)
if q == 4:
row = 1
row2 = 4
HomeWin = df.loc[0, 'Tipp 1']
HomeWinP1 = int(HomeWin[0])
HomeWinP2 = int(HomeWin[2:4])
HomeWinP2New = HomeWinP2 / 100
HomeFinal = HomeWinP1 + HomeWinP2New
HomeSub1 = 1 / HomeFinal
HomeFinalNew = HomeSub1 * 100
AwayWin = df.loc[0, 'Tipp 2']
AwayWinP1 = int(AwayWin[0])
AwayWinP2 = int(AwayWin[2:4])
AwayWinP2New = AwayWinP2 / 100
AwayFinal = AwayWinP1 + AwayWinP2New
AwaySub1 = 1 / AwayFinal
AwayFinalNew = AwaySub1 * 100
Draw = df.loc[0, 'Tipp X']
DrawP1 = int(Draw[0])
DrawP2 = int(Draw[2:4])
DrawP2New = DrawP2 / 100
DrawFinal = DrawP1 + DrawP2New
DrawSub1 = 1 / DrawFinal
DrawFinalNew = DrawSub1 * 100
Label(game_menu_frame2,
text="Arsenal vs Liverpool",
bd=2,
fg='#000000',
pady=5,
font=('Arial', 14, 'bold')).pack()
Label(game_menu_frame2, text="Tipico's Probability ").place(x=30,
y=100)
Label(game_menu_frame2,
text="Home win: " +
str(float("{0:.2f}".format(HomeFinalNew)))).place(x=30, y=125)
Label(game_menu_frame2,
text="Away win: " +
str(float("{0:.2f}".format(AwayFinalNew)))).place(x=30, y=150)
Label(game_menu_frame2,
text="Draw: " +
str(float("{0:.2f}".format(DrawFinalNew)))).place(x=30, y=175)
if Team1WinPercent > HomeFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Home win").place(x=30,
y=200)
elif Team2WinPercent > AwayFinalNew + 8:
Label(game_menu_frame2, text="Bet on an Away win").place(x=30,
y=200)
elif DrawPercent > DrawFinalNew + 8:
Label(game_menu_frame2, text="Bet on a draw").place(x=30, y=200)
else:
Label(game_menu_frame2, text="Ignore this bet").place(x=30, y=200)
ARSBalancedMean = np.mean([ARSOGoals.mean(), LIVDGoals.mean()])
LIVBalancedMean = np.mean([LIVOGoals.mean(), ARSDGoals.mean()])
roundedARS = round(ARSBalancedMean)
roundedLIV = round(LIVBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Arsenal " + str(roundedARS) + " : " +
str(roundedLIV) + " Liverpool").place(x=30, y=50)
Betway(game_menu2, game_menu_frame2, q, row, row2)
game_menu2.mainloop()
if q == 5:
row2 = 1
row = 2
HomeWin = df.loc[0, 'Tipp 1']
HomeWinP1 = int(HomeWin[0])
HomeWinP2 = int(HomeWin[2:4])
HomeWinP2New = HomeWinP2 / 100
HomeFinal = HomeWinP1 + HomeWinP2New
HomeSub1 = 1 / HomeFinal
HomeFinalNew = HomeSub1 * 100
AwayWin = df.loc[0, 'Tipp 2']
AwayWinP1 = int(AwayWin[0])
AwayWinP2 = int(AwayWin[2:4])
AwayWinP2New = AwayWinP2 / 100
AwayFinal = AwayWinP1 + AwayWinP2New
AwaySub1 = 1 / AwayFinal
AwayFinalNew = AwaySub1 * 100
Draw = df.loc[0, 'Tipp X']
DrawP1 = int(Draw[0])
DrawP2 = int(Draw[2:4])
DrawP2New = DrawP2 / 100
DrawFinal = DrawP1 + DrawP2New
DrawSub1 = 1 / DrawFinal
DrawFinalNew = DrawSub1 * 100
Label(game_menu_frame2,
text="Southampton vs Burnley",
bd=2,
fg='#000000',
pady=5,
font=('Arial', 14, 'bold')).pack()
Label(game_menu_frame2, text="Tipico's Probability ").place(x=30,
y=100)
Label(game_menu_frame2,
text="Home win: " +
str(float("{0:.2f}".format(HomeFinalNew)))).place(x=30, y=125)
Label(game_menu_frame2,
text="Away win: " +
str(float("{0:.2f}".format(AwayFinalNew)))).place(x=30, y=150)
Label(game_menu_frame2,
text="Draw: " +
str(float("{0:.2f}".format(DrawFinalNew)))).place(x=30, y=175)
if Team1WinPercent > HomeFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Home win").place(x=30,
y=200)
elif Team2WinPercent > AwayFinalNew + 8:
Label(game_menu_frame2, text="Bet on an Away win").place(x=30,
y=200)
elif DrawPercent > DrawFinalNew + 8:
Label(game_menu_frame2, text="Bet on a draw").place(x=30, y=200)
else:
Label(game_menu_frame2, text="Ignore this bet").place(x=30, y=200)
ARSBalancedMean = np.mean([ARSOGoals.mean(), LIVDGoals.mean()])
LIVBalancedMean = np.mean([LIVOGoals.mean(), ARSDGoals.mean()])
roundedARS = round(ARSBalancedMean)
roundedLIV = round(LIVBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Southampton " + str(roundedARS) +
" : " + str(roundedLIV) + " Burnley").place(x=30, y=50)
Betway(game_menu2, game_menu_frame2, q, row, row2)
game_menu2.mainloop()
if q == 6:
row2 = 2
row = 2
HomeWin = df.loc[0, 'Tipp 1']
HomeWinP1 = int(HomeWin[0])
HomeWinP2 = int(HomeWin[2:4])
HomeWinP2New = HomeWinP2 / 100
HomeFinal = HomeWinP1 + HomeWinP2New
HomeSub1 = 1 / HomeFinal
HomeFinalNew = HomeSub1 * 100
AwayWin = df.loc[0, 'Tipp 2']
AwayWinP1 = int(AwayWin[0])
AwayWinP2 = int(AwayWin[2:4])
AwayWinP2New = AwayWinP2 / 100
AwayFinal = AwayWinP1 + AwayWinP2New
AwaySub1 = 1 / AwayFinal
AwayFinalNew = AwaySub1 * 100
Draw = df.loc[0, 'Tipp X']
DrawP1 = int(Draw[0])
DrawP2 = int(Draw[2:4])
DrawP2New = DrawP2 / 100
DrawFinal = DrawP1 + DrawP2New
DrawSub1 = 1 / DrawFinal
DrawFinalNew = DrawSub1 * 100
Label(game_menu_frame2,
text="Newcastle United vs Tottenham Hotspur",
bd=2,
fg='#000000',
pady=5,
font=('Arial', 14, 'bold')).pack()
Label(game_menu_frame2, text="Tipico's Probability ").place(x=30,
y=100)
Label(game_menu_frame2,
text="Home win: " +
str(float("{0:.2f}".format(HomeFinalNew)))).place(x=30, y=125)
Label(game_menu_frame2,
text="Away win: " +
str(float("{0:.2f}".format(AwayFinalNew)))).place(x=30, y=150)
Label(game_menu_frame2,
text="Draw: " +
str(float("{0:.2f}".format(DrawFinalNew)))).place(x=30, y=175)
if Team1WinPercent > HomeFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Home win").place(x=30,
y=200)
elif Team2WinPercent > AwayFinalNew + 8:
Label(game_menu_frame2, text="Bet on an Away win").place(x=30,
y=200)
elif DrawPercent > DrawFinalNew + 8:
Label(game_menu_frame2, text="Bet on a draw").place(x=30, y=200)
else:
Label(game_menu_frame2, text="Ignore this bet").place(x=30, y=200)
NEWBalancedMean = np.mean([NEWOGoals.mean(), TOTDGoals.mean()])
TOTBalancedMean = np.mean([TOTOGoals.mean(), NEWDGoals.mean()])
roundedNEW = round(NEWBalancedMean)
roundedTOT = round(TOTBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Newcastle United " +
str(roundedNEW) + " : " + str(roundedTOT) +
" Tottenham Hotspur").place(x=30, y=50)
Betway(game_menu2, game_menu_frame2, q, row, row2)
game_menu2.mainloop()
if q == 7:
row2 = 3
row = 2
HomeWin = df.loc[0, 'Tipp 1']
HomeWinP1 = int(HomeWin[0])
HomeWinP2 = int(HomeWin[2:4])
HomeWinP2New = HomeWinP2 / 100
HomeFinal = HomeWinP1 + HomeWinP2New
HomeSub1 = 1 / HomeFinal
HomeFinalNew = HomeSub1 * 100
AwayWin = df.loc[0, 'Tipp 2']
AwayWinP1 = int(AwayWin[0])
AwayWinP2 = int(AwayWin[2:4])
AwayWinP2New = AwayWinP2 / 100
AwayFinal = AwayWinP1 + AwayWinP2New
AwaySub1 = 1 / AwayFinal
AwayFinalNew = AwaySub1 * 100
Draw = df.loc[0, 'Tipp X']
DrawP1 = int(Draw[0])
DrawP2 = int(Draw[2:4])
DrawP2New = DrawP2 / 100
DrawFinal = DrawP1 + DrawP2New
DrawSub1 = 1 / DrawFinal
DrawFinalNew = DrawSub1 * 100
Label(game_menu_frame2,
text="Aston Villa vs Fulham",
bd=2,
fg='#000000',
pady=5,
font=('Arial', 14, 'bold')).pack()
Label(game_menu_frame2, text="Tipico's Probability ").place(x=30,
y=100)
Label(game_menu_frame2,
text="Home win: " +
str(float("{0:.2f}".format(HomeFinalNew)))).place(x=30, y=125)
Label(game_menu_frame2,
text="Away win: " +
str(float("{0:.2f}".format(AwayFinalNew)))).place(x=30, y=150)
Label(game_menu_frame2,
text="Draw: " +
str(float("{0:.2f}".format(DrawFinalNew)))).place(x=30, y=175)
if Team1WinPercent > HomeFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Home win").place(x=30,
y=200)
elif Team2WinPercent > AwayFinalNew + 8:
Label(game_menu_frame2, text="Bet on an Away win").place(x=30,
y=200)
elif DrawPercent > DrawFinalNew + 8:
Label(game_menu_frame2, text="Bet on a draw").place(x=30, y=200)
else:
Label(game_menu_frame2, text="Ignore this bet").place(x=30, y=200)
AVLBalancedMean = np.mean([AVLOGoals.mean(), FULDGoals.mean()])
FULBalancedMean = np.mean([FULOGoals.mean(), AVLDGoals.mean()])
roundedAVL = round(AVLBalancedMean)
roundedFUL = round(FULBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Aston Villa " + str(roundedAVL) +
" : " + str(roundedFUL) + " Fulham").place(x=30, y=50)
Betway(game_menu2, game_menu_frame2, q, row, row2)
game_menu2.mainloop()
if q == 8:
row2 = 4
row = 2
HomeWin = df.loc[0, 'Tipp 1']
HomeWinP1 = int(HomeWin[0])
HomeWinP2 = int(HomeWin[2:4])
HomeWinP2New = HomeWinP2 / 100
HomeFinal = HomeWinP1 + HomeWinP2New
HomeSub1 = 1 / HomeFinal
HomeFinalNew = HomeSub1 * 100
AwayWin = df.loc[0, 'Tipp 2']
AwayWinP1 = int(AwayWin[0])
AwayWinP2 = int(AwayWin[2:4])
AwayWinP2New = AwayWinP2 / 100
AwayFinal = AwayWinP1 + AwayWinP2New
AwaySub1 = 1 / AwayFinal
AwayFinalNew = AwaySub1 * 100
Draw = df.loc[0, 'Tipp X']
DrawP1 = int(Draw[0])
DrawP2 = int(Draw[2:4])
DrawP2New = DrawP2 / 100
DrawFinal = DrawP1 + DrawP2New
DrawSub1 = 1 / DrawFinal
DrawFinalNew = DrawSub1 * 100
Label(game_menu_frame2,
text="Manchester United vs Brighton",
bd=2,
fg='#000000',
pady=5,
font=('Arial', 14, 'bold')).pack()
Label(game_menu_frame2, text="Tipico's Probability ").place(x=30,
y=100)
Label(game_menu_frame2,
text="Home win: " +
str(float("{0:.2f}".format(HomeFinalNew)))).place(x=30, y=125)
Label(game_menu_frame2,
text="Away win: " +
str(float("{0:.2f}".format(AwayFinalNew)))).place(x=30, y=150)
Label(game_menu_frame2,
text="Draw: " +
str(float("{0:.2f}".format(DrawFinalNew)))).place(x=30, y=175)
if Team1WinPercent > HomeFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Home win").place(x=30,
y=200)
elif Team2WinPercent > AwayFinalNew + 8:
Label(game_menu_frame2, text="Bet on an Away win").place(x=30,
y=200)
elif DrawPercent > DrawFinalNew + 8:
Label(game_menu_frame2, text="Bet on a draw").place(x=30, y=200)
else:
Label(game_menu_frame2, text="Ignore this bet").place(x=30, y=200)
MUNBalancedMean = np.mean([MUNOGoals.mean(), BRIDGoals.mean()])
BRIBalancedMean = np.mean([BRIOGoals.mean(), MUNDGoals.mean()])
roundedMUN = round(MUNBalancedMean)
roundedBRI = round(BRIBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Manchester United " +
str(roundedMUN) + " : " + str(roundedBRI) + " Brighton").place(
x=30, y=50)
Betway(game_menu2, game_menu_frame2, q, row, row2)
game_menu2.mainloop()
if q == 9:
row2 = 1
row = 3
HomeWin = df.loc[0, 'Tipp 1']
HomeWinP1 = int(HomeWin[0])
HomeWinP2 = int(HomeWin[2:4])
HomeWinP2New = HomeWinP2 / 100
HomeFinal = HomeWinP1 + HomeWinP2New
HomeSub1 = 1 / HomeFinal
HomeFinalNew = HomeSub1 * 100
AwayWin = df.loc[0, 'Tipp 2']
AwayWinP1 = int(AwayWin[0])
AwayWinP2 = int(AwayWin[2:4])
AwayWinP2New = AwayWinP2 / 100
AwayFinal = AwayWinP1 + AwayWinP2New
AwaySub1 = 1 / AwayFinal
AwayFinalNew = AwaySub1 * 100
Draw = df.loc[0, 'Tipp X']
DrawP1 = int(Draw[0])
DrawP2 = int(Draw[2:4])
DrawP2New = DrawP2 / 100
DrawFinal = DrawP1 + DrawP2New
DrawSub1 = 1 / DrawFinal
DrawFinalNew = DrawSub1 * 100
Label(game_menu_frame2,
text="Everton vs Crystal Palace",
bd=2,
fg='#000000',
pady=5,
font=('Arial', 14, 'bold')).pack()
Label(game_menu_frame2, text="Tipico's Probability ").place(x=30,
y=100)
Label(game_menu_frame2,
text="Home win: " +
str(float("{0:.2f}".format(HomeFinalNew)))).place(x=30, y=125)
Label(game_menu_frame2,
text="Away win: " +
str(float("{0:.2f}".format(AwayFinalNew)))).place(x=30, y=150)
Label(game_menu_frame2,
text="Draw: " +
str(float("{0:.2f}".format(DrawFinalNew)))).place(x=30, y=175)
if Team1WinPercent > HomeFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Home win").place(x=30,
y=200)
elif Team2WinPercent > AwayFinalNew + 8:
Label(game_menu_frame2, text="Bet on an Away win").place(x=30,
y=200)
elif DrawPercent > DrawFinalNew + 8:
Label(game_menu_frame2, text="Bet on a draw").place(x=30, y=200)
else:
Label(game_menu_frame2, text="Ignore this bet").place(x=30, y=200)
EVEBalancedMean = np.mean([EVEOGoals.mean(), CRYDGoals.mean()])
CRYBalancedMean = np.mean([CRYOGoals.mean(), EVEDGoals.mean()])
roundedEVE = round(EVEBalancedMean)
roundedCRY = round(CRYBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Everton " + str(roundedEVE) + " : " +
str(roundedCRY) + " Crystal Palace").place(x=30, y=50)
Betway(game_menu2, game_menu_frame2, q, row, row2)
game_menu2.mainloop()
else:
ModelOutput(game_menu2, game_menu_frame2)
def TipicoFirstGame(game_menu_frame2, q):
driver_path = r"C:\Users\ellio\Downloads\chromedriver.exe"
brave_path = r"C:\Program Files\BraveSoftware\Brave-Browser\Application\brave.exe"
option = webdriver.ChromeOptions()
option.binary_location = brave_path
browser = webdriver.Chrome(executable_path=driver_path, options=option)
browser.get(
"file:///C:/Users/ellio/OneDrive/Documents/AA Project/aaa/TipicoWebsite/Tipico33.html"
)
col_names = ['Tipp 1', 'Tipp X', 'Tipp 2']
lst_odds_tipp1 = []
lst_odds_tippX = []
lst_odds_tipp2 = []
time.sleep(3)
for i in range(1, 10):
odds_tipp1 = browser.find_element_by_xpath(
'/html/body/div[1]/main/main/section/div/div/div[2]/div/a[' +
str(q) + ']/div[3]/div/div/button[1]/span').text
odds_tippX = browser.find_element_by_xpath(
'/html/body/div[1]/main/main/section/div/div/div[2]/div/a[' +
str(q) + ']/div[3]/div/div/button[2]/span').text
odds_tipp2 = browser.find_element_by_xpath(
'/html/body/div[1]/main/main/section/div/div/div[2]/div/a[' +
str(q) + ']/div[3]/div/div/button[3]/span').text
lst_odds_tipp1.append(odds_tipp1)
lst_odds_tippX.append(odds_tippX)
lst_odds_tipp2.append(odds_tipp2)
df = pd.DataFrame(np.column_stack(
[lst_odds_tipp1, lst_odds_tippX, lst_odds_tipp2]),
columns=col_names)
df.style.hide_index()
if q == 2:
col = 1
row2 = 1
HomeWin = df.loc[0, 'Tipp 1']
HomeWinP1 = int(HomeWin[0])
HomeWinP2 = int(HomeWin[2:4])
HomeWinP2New = HomeWinP2 / 100
HomeFinal = HomeWinP1 + HomeWinP2New
HomeSub1 = 1 / HomeFinal
HomeFinalNew = HomeSub1 * 100
AwayWin = df.loc[0, 'Tipp 2']
AwayWinP1 = int(AwayWin[0:2])
AwayWinP2 = int(AwayWin[3:4])
AwayWinP2New = AwayWinP2 / 100
AwayFinal = AwayWinP1 + AwayWinP2New
AwaySub1 = 1 / AwayFinal
AwayFinalNew = AwaySub1 * 100
Draw = df.loc[0, 'Tipp X']
DrawP1 = int(Draw[0])
DrawP2 = int(Draw[2:4])
DrawP2New = DrawP2 / 100
DrawFinal = DrawP1 + DrawP2New
DrawSub1 = 1 / DrawFinal
DrawFinalNew = DrawSub1 * 100
Label(game_menu_frame2,
text="Liverpool vs Newcastle",
bd=2,
fg='#000000',
pady=5,
font=('Arial', 14, 'bold')).pack()
Label(game_menu_frame2, text="Tipico's Probability ").place(x=30,
y=100)
Label(game_menu_frame2,
text="Home win: " +
str(float("{0:.2f}".format(HomeFinalNew)))).place(x=30, y=125)
Label(game_menu_frame2,
text="Away win: " +
str(float("{0:.2f}".format(AwayFinalNew)))).place(x=30, y=150)
Label(game_menu_frame2,
text="Draw: " +
str(float("{0:.2f}".format(DrawFinalNew)))).place(x=30, y=175)
if Team1WinPercent > HomeFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Home win").place(x=30,
y=200)
elif Team2WinPercent > AwayFinalNew + 8:
Label(game_menu_frame2, text="Bet on an Away win").place(x=30,
y=200)
elif DrawPercent > DrawFinalNew + 8:
Label(game_menu_frame2, text="Bet on a draw").place(x=30, y=200)
else:
Label(game_menu_frame2, text="Ignore this bet").place(x=30, y=200)
LIVBalancedMean = np.mean([LIVOGoals.mean(), NEWDGoals.mean()])
NEWBalancedMean = np.mean([NEWOGoals.mean(), LIVDGoals.mean()])
roundedNEW = round(NEWBalancedMean)
roundedLIV = round(LIVBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Liverpool " + str(roundedLIV) +
" : " + str(roundedNEW) + " Newcastle").place(x=30, y=50)
Betway(game_menu_frame2, q, col, row2)
if q == 3:
col = 2
row2 = 1
HomeWin = df.loc[0, 'Tipp 1']
HomeWinP1 = int(HomeWin[0])
HomeWinP2 = int(HomeWin[2:4])
HomeWinP2New = HomeWinP2 / 100
HomeFinal = HomeWinP1 + HomeWinP2New
HomeSub1 = 1 / HomeFinal
HomeFinalNew = HomeSub1 * 100
AwayWin = df.loc[0, 'Tipp 2']
AwayWinP1 = int(AwayWin[0])
AwayWinP2 = int(AwayWin[2:4])
AwayWinP2New = AwayWinP2 / 100
AwayFinal = AwayWinP1 + AwayWinP2New
AwaySub1 = 1 / AwayFinal
AwayFinalNew = AwaySub1 * 100
Draw = df.loc[0, 'Tipp X']
DrawP1 = int(Draw[0])
DrawP2 = int(Draw[2:4])
DrawP2New = DrawP2 / 100
DrawFinal = DrawP1 + DrawP2New
DrawSub1 = 1 / DrawFinal
DrawFinalNew = DrawSub1 * 100
Label(game_menu_frame2,
text="West Ham vs Chelsea",
bd=2,
fg='#000000',
pady=5,
font=('Arial', 14, 'bold')).pack()
Label(game_menu_frame2, text="Tipico's Probability ").place(x=30,
y=100)
Label(game_menu_frame2,
text="Home win: " +
str(float("{0:.2f}".format(HomeFinalNew)))).place(x=30, y=125)
Label(game_menu_frame2,
text="Away win: " +
str(float("{0:.2f}".format(AwayFinalNew)))).place(x=30, y=150)
Label(game_menu_frame2,
text="Draw: " +
str(float("{0:.2f}".format(DrawFinalNew)))).place(x=30, y=175)
if Team1WinPercent > HomeFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Home win").place(x=30,
y=200)
elif Team2WinPercent > AwayFinalNew + 8:
Label(game_menu_frame2, text="Bet on an Away win").place(x=30,
y=200)
elif DrawPercent > DrawFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Draw").place(x=30, y=200)
else:
Label(game_menu_frame2, text="Ignore this bet").place(x=30, y=200)
WHUBalancedMean = np.mean([WHUOGoals.mean(), CHEDGoals.mean()])
CHEBalancedMean = np.mean([CHEOGoals.mean(), WHUDGoals.mean()])
roundedCHE = round(CHEBalancedMean)
roundedWHU = round(WHUBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: West Ham " + str(roundedWHU) +
" : " + str(roundedCHE) + " Chelsea").place(x=30, y=50)
Betway(game_menu_frame2, q, col, row2)
if q == 4:
col = 3
row2 = 1
HomeWin = df.loc[0, 'Tipp 1']
HomeWinP1 = int(HomeWin[0])
HomeWinP2 = int(HomeWin[2:4])
HomeWinP2New = HomeWinP2 / 100
HomeFinal = HomeWinP1 + HomeWinP2New
HomeSub1 = 1 / HomeFinal
HomeFinalNew = HomeSub1 * 100
AwayWin = df.loc[0, 'Tipp 2']
AwayWinP1 = int(AwayWin[0])
AwayWinP2 = int(AwayWin[2:4])
AwayWinP2New = AwayWinP2 / 100
AwayFinal = AwayWinP1 + AwayWinP2New
AwaySub1 = 1 / AwayFinal
AwayFinalNew = AwaySub1 * 100
Draw = df.loc[0, 'Tipp X']
DrawP1 = int(Draw[0])
DrawP2 = int(Draw[2:4])
DrawP2New = DrawP2 / 100
DrawFinal = DrawP1 + DrawP2New
DrawSub1 = 1 / DrawFinal
DrawFinalNew = DrawSub1 * 100
Label(game_menu_frame2,
text="Sheffield vs Brighton",
bd=2,
fg='#000000',
pady=5,
font=('Arial', 14, 'bold')).pack()
Label(game_menu_frame2, text="Tipico's Probability ").place(x=30,
y=100)
Label(game_menu_frame2,
text="Home win: " +
str(float("{0:.2f}".format(HomeFinalNew)))).place(x=30, y=125)
Label(game_menu_frame2,
text="Away win: " +
str(float("{0:.2f}".format(AwayFinalNew)))).place(x=30, y=150)
Label(game_menu_frame2,
text="Draw: " +
str(float("{0:.2f}".format(DrawFinalNew)))).place(x=30, y=175)
if Team1WinPercent > HomeFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Home win").place(x=30,
y=200)
elif Team2WinPercent > AwayFinalNew + 8:
Label(game_menu_frame2, text="Bet on an Away win").place(x=30,
y=200)
elif DrawPercent > DrawFinalNew + 8:
Label(game_menu_frame2, text="Bet on a draw").place(x=30, y=200)
else:
Label(game_menu_frame2, text="Ignore this bet").place(x=30, y=200)
SHUBalancedMean = np.mean([SHUOGoals.mean(), BRIDGoals.mean()])
BRIBalancedMean = np.mean([BRIOGoals.mean(), SHUDGoals.mean()])
roundedSHU = round(SHUBalancedMean)
roundedBRI = round(BRIBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Sheffield " + str(roundedSHU) +
" : " + str(roundedBRI) + " Brighton").place(x=30, y=50)
Betway(game_menu_frame2, q, col, row2)
if q == 5:
col = 1
row2 = 2
HomeWin = df.loc[0, 'Tipp 1']
HomeWinP1 = int(HomeWin[0])
HomeWinP2 = int(HomeWin[2:4])
HomeWinP2New = HomeWinP2 / 100
HomeFinal = HomeWinP1 + HomeWinP2New
HomeSub1 = 1 / HomeFinal
HomeFinalNew = HomeSub1 * 100
AwayWin = df.loc[0, 'Tipp 2']
AwayWinP1 = int(AwayWin[0])
AwayWinP2 = int(AwayWin[2:4])
AwayWinP2New = AwayWinP2 / 100
AwayFinal = AwayWinP1 + AwayWinP2New
AwaySub1 = 1 / AwayFinal
AwayFinalNew = AwaySub1 * 100
Draw = df.loc[0, 'Tipp X']
DrawP1 = int(Draw[0])
DrawP2 = int(Draw[2:4])
DrawP2New = DrawP2 / 100
DrawFinal = DrawP1 + DrawP2New
DrawSub1 = 1 / DrawFinal
DrawFinalNew = DrawSub1 * 100
Label(game_menu_frame2,
text="Wolves vs Burnley",
bd=2,
fg='#000000',
pady=5,
font=('Arial', 14, 'bold')).pack()
Label(game_menu_frame2, text="Tipico's Probability ").place(x=30,
y=100)
Label(game_menu_frame2,
text="Home win: " +
str(float("{0:.2f}".format(HomeFinalNew)))).place(x=30, y=125)
Label(game_menu_frame2,
text="Away win: " +
str(float("{0:.2f}".format(AwayFinalNew)))).place(x=30, y=150)
Label(game_menu_frame2,
text="Draw: " +
str(float("{0:.2f}".format(DrawFinalNew)))).place(x=30, y=175)
if Team1WinPercent > HomeFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Home win").place(x=30,
y=200)
elif Team2WinPercent > AwayFinalNew + 8:
Label(game_menu_frame2, text="Bet on an Away win").place(x=30,
y=200)
elif DrawPercent > DrawFinalNew + 8:
Label(game_menu_frame2, text="Bet on a draw").place(x=30, y=200)
else:
Label(game_menu_frame2, text="Ignore this bet").place(x=30, y=200)
WOLBalancedMean = np.mean([WOLOGoals.mean(), BURDGoals.mean()])
BURBalancedMean = np.mean([BUROGoals.mean(), WOLDGoals.mean()])
roundedWOL = round(WOLBalancedMean)
roundedBUR = round(BURBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Wolves " + str(roundedWOL) + " : " +
str(roundedBUR) + " Burnley").place(x=30, y=50)
Betway(game_menu_frame2, q, col, row2)
if q == 6:
col = 2
row2 = 2
HomeWin = df.loc[0, 'Tipp 1']
HomeWinP1 = int(HomeWin[0])
HomeWinP2 = int(HomeWin[2:4])
HomeWinP2New = HomeWinP2 / 100
HomeFinal = HomeWinP1 + HomeWinP2New
HomeSub1 = 1 / HomeFinal
HomeFinalNew = HomeSub1 * 100
AwayWin = df.loc[0, 'Tipp 2']
AwayWinP1 = int(AwayWin[0])
AwayWinP2 = int(AwayWin[2:4])
AwayWinP2New = AwayWinP2 / 100
AwayFinal = AwayWinP1 + AwayWinP2New
AwaySub1 = 1 / AwayFinal
AwayFinalNew = AwaySub1 * 100
Draw = df.loc[0, 'Tipp X']
DrawP1 = int(Draw[0])
DrawP2 = int(Draw[2:4])
DrawP2New = DrawP2 / 100
DrawFinal = DrawP1 + DrawP2New
DrawSub1 = 1 / DrawFinal
DrawFinalNew = DrawSub1 * 100
Label(game_menu_frame2,
text="Leeds vs Man United",
bd=2,
fg='#000000',
pady=5,
font=('Arial', 14, 'bold')).pack()
Label(game_menu_frame2, text="Tipico's Probability ").place(x=30,
y=100)
Label(game_menu_frame2,
text="Home win: " +
str(float("{0:.2f}".format(HomeFinalNew)))).place(x=30, y=125)
Label(game_menu_frame2,
text="Away win: " +
str(float("{0:.2f}".format(AwayFinalNew)))).place(x=30, y=150)
Label(game_menu_frame2,
text="Draw: " +
str(float("{0:.2f}".format(DrawFinalNew)))).place(x=30, y=175)
if Team1WinPercent > HomeFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Home win").place(x=30,
y=200)
elif Team2WinPercent > AwayFinalNew + 8:
Label(game_menu_frame2, text="Bet on an Away win").place(x=30,
y=200)
elif DrawPercent > DrawFinalNew + 8:
Label(game_menu_frame2, text="Bet on a draw").place(x=30, y=200)
else:
Label(game_menu_frame2, text="Ignore this bet").place(x=30, y=200)
LEEBalancedMean = np.mean([LEEOGoals.mean(), MUNDGoals.mean()])
MUNBalancedMean = np.mean([MUNOGoals.mean(), LEEDGoals.mean()])
roundedLEE = round(LEEBalancedMean)
roundedMUN = round(MUNBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Leeds " + str(roundedLEE) + " : " +
str(roundedMUN) + " Man United").place(x=30, y=50)
Betway(game_menu_frame2, q, col, row2)
if q == 7:
col = 3
row2 = 2
HomeWin = df.loc[0, 'Tipp 1']
HomeWinP1 = int(HomeWin[0])
HomeWinP2 = int(HomeWin[2:4])
HomeWinP2New = HomeWinP2 / 100
HomeFinal = HomeWinP1 + HomeWinP2New
HomeSub1 = 1 / HomeFinal
HomeFinalNew = HomeSub1 * 100
AwayWin = df.loc[0, 'Tipp 2']
AwayWinP1 = int(AwayWin[0])
AwayWinP2 = int(AwayWin[2:4])
AwayWinP2New = AwayWinP2 / 100
AwayFinal = AwayWinP1 + AwayWinP2New
AwaySub1 = 1 / AwayFinal
AwayFinalNew = AwaySub1 * 100
Draw = df.loc[0, 'Tipp X']
DrawP1 = int(Draw[0])
DrawP2 = int(Draw[2:4])
DrawP2New = DrawP2 / 100
DrawFinal = DrawP1 + DrawP2New
DrawSub1 = 1 / DrawFinal
DrawFinalNew = DrawSub1 * 100
Label(game_menu_frame2,
text="Aston Villa vs West Brom",
bd=2,
fg='#000000',
pady=5,
font=('Arial', 14, 'bold')).pack()
Label(game_menu_frame2, text="Tipico's Probability ").place(x=30,
y=100)
Label(game_menu_frame2,
text="Home win: " +
str(float("{0:.2f}".format(HomeFinalNew)))).place(x=30, y=125)
Label(game_menu_frame2,
text="Away win: " +
str(float("{0:.2f}".format(AwayFinalNew)))).place(x=30, y=150)
Label(game_menu_frame2,
text="Draw: " +
str(float("{0:.2f}".format(DrawFinalNew)))).place(x=30, y=175)
if Team1WinPercent > HomeFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Home win").place(x=30,
y=200)
elif Team2WinPercent > AwayFinalNew + 8:
Label(game_menu_frame2, text="Bet on an Away win").place(x=30,
y=200)
elif DrawPercent > DrawFinalNew + 8:
Label(game_menu_frame2, text="Bet on a draw").place(x=30, y=200)
else:
Label(game_menu_frame2, text="Ignore this bet").place(x=30, y=200)
AVLBalancedMean = np.mean([AVLOGoals.mean(), WBADGoals.mean()])
WBABalancedMean = np.mean([WBAOGoals.mean(), AVLDGoals.mean()])
roundedAVL = round(AVLBalancedMean)
roundedWBA = round(WBABalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Aston Villa " + str(roundedAVL) +
" : " + str(roundedWBA) + " West Brom ").place(x=30, y=50)
Betway(game_menu_frame2, q, col, row2)
if q == 8:
col = 1
row2 = 3
HomeWin = df.loc[0, 'Tipp 1']
HomeWinP1 = int(HomeWin[0])
HomeWinP2 = int(HomeWin[2:4])
HomeWinP2New = HomeWinP2 / 100
HomeFinal = HomeWinP1 + HomeWinP2New
HomeSub1 = 1 / HomeFinal
HomeFinalNew = HomeSub1 * 100
AwayWin = df.loc[0, 'Tipp 2']
AwayWinP1 = int(AwayWin[0])
AwayWinP2 = int(AwayWin[2:4])
AwayWinP2New = AwayWinP2 / 100
AwayFinal = AwayWinP1 + AwayWinP2New
AwaySub1 = 1 / AwayFinal
AwayFinalNew = AwaySub1 * 100
Draw = df.loc[0, 'Tipp X']
DrawP1 = int(Draw[0])
DrawP2 = int(Draw[2:4])
DrawP2New = DrawP2 / 100
DrawFinal = DrawP1 + DrawP2New
DrawSub1 = 1 / DrawFinal
DrawFinalNew = DrawSub1 * 100
Label(game_menu_frame2,
text="Leicester vs Crystal Palace",
bd=2,
fg='#000000',
pady=5,
font=('Arial', 14, 'bold')).pack()
Label(game_menu_frame2, text="Tipico's Probability ").place(x=30,
y=100)
Label(game_menu_frame2,
text="Home win: " +
str(float("{0:.2f}".format(HomeFinalNew)))).place(x=30, y=125)
Label(game_menu_frame2,
text="Away win: " +
str(float("{0:.2f}".format(AwayFinalNew)))).place(x=30, y=150)
Label(game_menu_frame2,
text="Draw: " +
str(float("{0:.2f}".format(DrawFinalNew)))).place(x=30, y=175)
if Team1WinPercent > HomeFinalNew + 8:
Label(game_menu_frame2, text="Bet on a Home win").place(x=30,
y=200)
elif Team2WinPercent > AwayFinalNew + 8:
Label(game_menu_frame2, text="Bet on an Away win").place(x=30,
y=200)
elif DrawPercent > DrawFinalNew + 8:
Label(game_menu_frame2, text="Bet on a draw").place(x=30, y=200)
else:
Label(game_menu_frame2, text="Ignore this bet").place(x=30, y=200)
LEIBalancedMean = np.mean([LEIOGoals.mean(), CRYDGoals.mean()])
CRYBalancedMean = np.mean([CRYOGoals.mean(), LEIDGoals.mean()])
roundedLEI = round(LEIBalancedMean)
roundedCRY = round(CRYBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Leicester " + str(roundedLEI) +
" : " + str(roundedCRY) + " Crystal Palace").place(x=30, y=50)
Betway(game_menu_frame2, q, col, row2)