def NewBur1():
NEWBalancedMean = np.mean([NEWOGoals.mean(), BURDGoals.mean()])
BURBalancedMean = np.mean([BUROGoals.mean(), NEWDGoals.mean()])
q = 4
sim_poissonNEWBUR(nums, NEWBalancedMean.mean(), BURBalancedMean.mean())
distA, distB = sim_poissonCRYCHE(10000)
winPercent(distA, distB, q)
def NewTot1():
NEWBalancedMean = np.mean([NEWOGoals.mean(), TOTDGoals.mean()])
TOTBalancedMean = np.mean([TOTOGoals.mean(), NEWDGoals.mean()])
q = 6
sim_poissonNEWTOT(nums, NEWBalancedMean.mean(), TOTBalancedMean.mean())
distA, distB = sim_poissonNEWTOT(10000)
winPercent(distA, distB, q)
def NewWhu1():
NEWBalancedMean = np.mean([NEWOGoals.mean(), WHUDGoals.mean()])
WHUBalancedMean = np.mean([WHUOGoals.mean(), NEWDGoals.mean()])
q = 2
sim_poissonNEWWHU(nums, NEWBalancedMean.mean(), WHUBalancedMean.mean())
distA, distB = sim_poissonNEWWHU(10000)
winPercent(distA, distB, q)
def LivNew1():
LIVBalancedMean = np.mean([LIVOGoals.mean(), NEWDGoals.mean()])
NEWBalancedMean = np.mean([NEWOGoals.mean(), LIVDGoals.mean()])
q = 2
sim_poissonLIVNEW(nums, LIVBalancedMean.mean(), NEWBalancedMean.mean())
distA, distB = sim_poissonLIVNEW(10000)
winPercent(distA, distB, q)
def NewArs1():
NEWBalancedMean = np.mean([NEWOGoals.mean(), ARSDGoals.mean()])
ARSBalancedMean = np.mean([ARSOGoals.mean(), NEWDGoals.mean()])
q = 5
sim_poissonNEWARS(nums, NEWBalancedMean.mean(), ARSBalancedMean.mean())
distA, distB = sim_poissonNEWARS(10000)
winPercent(distA, distB, q)
def sim_poissonNEWTOT(nums,
mean1=NEWOGoals.mean() + TOTDGoals.mean(),
mean2=TOTOGoals.mean() + NEWDGoals.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 sim_poissonLIVNEW(nums,
mean1=LIVOGoals.mean() + NEWDGoals.mean(),
mean2=NEWOGoals.mean() + LIVDGoals.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_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/Premier League Wetten - englische "
"Fussball Wetten mit top Quoten.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 == 1:
row = 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])
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="Man City vs Leeds 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)
MCIBalancedMean = np.mean([MCIOGoals.mean(), LEEDGoals.mean()])
LEEBalancedMean = np.mean([LEEOGoals.mean(), MCIDGoals.mean()])
roundedMCI = round(MCIBalancedMean)
roundedLEE = round(LEEBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Man City " + str(roundedMCI) + " : " + str(
roundedLEE) + " Leeds United").place(x=30, y=50)
Betway(game_menu_frame2, q, row, row2)
if q == 2:
row = 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="Liverpool vs Aston Villa", 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(), LIVDGoals.mean()])
LIVBalancedMean = np.mean([LIVOGoals.mean(), AVLDGoals.mean()])
roundedLIV = round(LIVBalancedMean)
roundedAVL = round(AVLBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Liverpool " + str(roundedLIV) + " : " + str(
roundedAVL) + " Aston Villa").place(x=30, y=50)
Betway(game_menu_frame2, q, row, row2)
if q == 3:
row = 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="Crystal Palace 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)
CRYBalancedMean = np.mean([CRYOGoals.mean(), CHEDGoals.mean()])
CHEBalancedMean = np.mean([CHEOGoals.mean(), CRYDGoals.mean()])
roundedCRY = round(CRYBalancedMean)
roundedCHE = round(CHEBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Crystal Palace " + str(roundedCRY) + " : " + str(
roundedCHE) + " Chelsea").place(
x=30, y=50)
Betway(game_menu_frame2, q, row, row2)
if q == 4:
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="Burnley 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)
BURBalancedMean = np.mean([BUROGoals.mean(), NEWDGoals.mean()])
NEWBalancedMean = np.mean([NEWOGoals.mean(), BURDGoals.mean()])
roundedBUR = round(BURBalancedMean)
roundedNEW = round(NEWBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Burnley " + str(roundedBUR) + " : " + str(roundedNEW) + " Newcastle").place(
x=30, y=50)
Betway(game_menu_frame2, q, row, row2)
if q == 5:
row = 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="West Ham vs Leicester", 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(), LEIDGoals.mean()])
LEIBalancedMean = np.mean([TOTOGoals.mean(), WHUDGoals.mean()])
roundedWHU = round(WHUBalancedMean)
roundedLEI = round(LEIBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: West Ham United " + str(roundedWHU) + " : " + str(
roundedLEI) + " Leicester").place(x=30, y=50)
Betway(game_menu_frame2, q, row, row2)
if q == 6:
row2 = 2
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="Tottenham 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)
TOTBalancedMean = np.mean([TOTOGoals.mean(), MUNDGoals.mean()])
MUNBalancedMean = np.mean([MUNOGoals.mean(), TOTDGoals.mean()])
roundedTOT = round(TOTBalancedMean)
roundedMUN = round(MUNBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Tottenham " + str(roundedTOT) + " : " + str(
roundedMUN) + " Man United").place(
x=30, y=50)
Betway(game_menu_frame2, q, row, row2)
if q == 7:
row2 = 2
row = 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="Sheffield United vs Arsenal", 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(), ARSDGoals.mean()])
ARSBalancedMean = np.mean([ARSOGoals.mean(), SHUDGoals.mean()])
roundedSHU = round(SHUBalancedMean)
roundedARS = round(ARSBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Sheffield United " + str(roundedSHU) + " : " + str(
roundedARS) + " Arsenal").place(x=30, y=50)
Betway(game_menu_frame2, q, row, row2)
# These values have no Betway data as it wasn't available
if q == 8:
row2 = 2
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="West Brom vs Southampton", 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)
WBABalancedMean = np.mean([WBAOGoals.mean(), SOUDGoals.mean()])
SOUBalancedMean = np.mean([SOUOGoals.mean(), WBADGoals.mean()])
roundedWBA = round(WBABalancedMean)
roundedSOU = round(SOUBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: West Brom " + str(roundedWBA) + " : " + str(
roundedSOU) + " Southampton").place(x=30, y=50)
Betway(game_menu_frame2, q, row, row2)
if q == 9:
row2 = 2
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="Brighton vs Everton", 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)
BRIBalancedMean = np.mean([BRIOGoals.mean(), EVEDGoals.mean()])
EVEBalancedMean = np.mean([EVEOGoals.mean(), BRIDGoals.mean()])
roundedBRI = round(BRIBalancedMean)
roundedEVE = round(EVEBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Brighton " + str(roundedBRI) + " : " + str(
roundedEVE) + " Everton").place(x=30, y=50)
Betway(game_menu_frame2, q, row, row2)
else:
ModelOutput(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/Tipico32.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 = 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 vs West Ham", 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(), WHUDGoals.mean()])
WHUBalancedMean = np.mean([WHUOGoals.mean(), NEWDGoals.mean()])
roundedNEW = round(NEWBalancedMean)
roundedWHU = round(WHUBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Newcastle " + str(roundedNEW) + " : " + str(
roundedWHU) + " West Ham").place(x=30, y=50)
Betway(game_menu_frame2, q, col, row2)
if q == 3:
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="Wolves vs Sheffield", 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(), SHUDGoals.mean()])
SHUBalancedMean = np.mean([SHUOGoals.mean(), WOLDGoals.mean()])
roundedSHU = round(SHUBalancedMean)
roundedWOL = round(WOLBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Wolves " + str(roundedWOL) + " : " + str(
roundedSHU) + " Sheffield").place(x=30, y=50)
Betway(game_menu_frame2, q, col, row2)
if q == 4:
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="Arsenal 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)
ARSBalancedMean = np.mean([ARSOGoals.mean(), FULDGoals.mean()])
FULBalancedMean = np.mean([FULOGoals.mean(), ARSDGoals.mean()])
roundedARS = round(ARSBalancedMean)
roundedFUL = round(FULBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Arsenal " + str(roundedARS) + " : " + str(roundedFUL) + " Fulham").place(
x=30, y=50)
Betway(game_menu_frame2, q, col, row2)
if q == 5:
col = 2
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="Man United 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)
MUNBalancedMean = np.mean([MUNOGoals.mean(), BURDGoals.mean()])
BURBalancedMean = np.mean([BUROGoals.mean(), MUNDGoals.mean()])
roundedMUN = round(MUNBalancedMean)
roundedBUR = round(BURBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Man United " + str(roundedMUN) + " : " + str(roundedBUR) + " Burnley").place(
x=30, y=50)
Betway(game_menu_frame2, q, col, row2)
if q == 6:
col = 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="Leeds 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)
LEEBalancedMean = np.mean([LEEOGoals.mean(), LIVDGoals.mean()])
LIVBalancedMean = np.mean([LIVOGoals.mean(), LEEDGoals.mean()])
roundedLEE = round(LEEBalancedMean)
roundedLIV = round(LIVBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Leeds " + str(roundedLEE) + " : " + str(
roundedLIV) + " Liverpool").place(x=30, y=50)
Betway(game_menu_frame2, q, col, row2)
if q == 7:
col = 1
row2 = 5
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="Chelsea 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)
CHEBalancedMean = np.mean([CHEOGoals.mean(), BRIDGoals.mean()])
BRIBalancedMean = np.mean([BRIOGoals.mean(), CHEDGoals.mean()])
roundedCHE = round(CHEBalancedMean)
roundedBRI = round(BRIBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Chelsea " + str(roundedCHE) + " : " + str(roundedBRI) + " Brighton").place(
x=30, y=50)
Betway(game_menu_frame2, q, col, row2)
if q == 8:
col = 1
row2 = 6
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="Tottenham vs Southampton", 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)
TOTBalancedMean = np.mean([TOTOGoals.mean(), SOUDGoals.mean()])
SOUBalancedMean = np.mean([SOUOGoals.mean(), TOTDGoals.mean()])
roundedTOT = round(TOTBalancedMean)
roundedSOU = round(SOUBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Tottenham " + str(roundedTOT) + " : " + str(
roundedSOU) + " Southampton").place(x=30, y=50)
Betway(game_menu_frame2, q, col, row2)
if q == 9:
col = 2
row2 = 6
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 Man 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)
AVLBalancedMean = np.mean([AVLOGoals.mean(), MCIDGoals.mean()])
MCIBalancedMean = np.mean([MCIOGoals.mean(), AVLDGoals.mean()])
roundedAVL = round(AVLBalancedMean)
roundedMCI = round(MCIBalancedMean)
Label(game_menu_frame2,
text="Predicted Score line: Aston Villa " + str(roundedAVL) + " : " + str(
roundedMCI) + " Man City").place(x=30, y=50)
Betway(game_menu_frame2, q, col, row2)
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)