How to write scraped data to multiple columns in excel with pandas data frames?

How to scrape data to columns A, B, C and D? At the moment it is scraping only in the same column Team and Team odds instead of Team, Team Odds, Lay Team and Lay odds. How to fix scraping to same column instead of multiple where I am wanting to append this data. Thanks ###########################################################################################################################################################

options.add_argument('--start-maximized')
options.add_experimental_option("detach", True)
service = Service('driver/chromedriver.exe')
driver = webdriver.Chrome(service=Service(webdriver_manager.chrome.ChromeDriverManager().install()), options=options)
driver.get('https://www.betfair.com.au/exchange/plus/en/football-betting-1/13')
WebDriverWait(driver, 100).until(lambda driver: driver.execute_script('return document.readyState') == 'complete')
element = WebDriverWait(driver,20).until(lambda driver: driver.find_element(By.CSS_SELECTOR, ".name:nth-child(1) , bf-coupon-table:nth-child(1) tr:nth-child(1) .matched-amount-value"))
print('h')

scroll = driver.find_element(By.CSS_SELECTOR, ".coupon-page-navigation__label--next")
driver.execute_script("arguments[0].scrollIntoView();", scroll)

try:
    driver.find_element(By.CSS_SELECTOR, "#cookie-holder span").click()
except:
    pass

i = 1
while i < 2:
    try:
        time.sleep(2)
        #
        #bf-coupon-page-navigation > ul > li:nth-child(4) > abf-coupon-page-navigation > ul > li:nth-child(4) > a[class = 'coupon-page-navigation__link coupon-page-navigation__link--next']
        #driver.find_elements(By.CSS_SELECTOR, "bf-coupon-page-navigation > ul > li:nth-child(4) > abf-coupon-page-navigation > ul > li:nth-child(4) > a[class = 'coupon-page-navigation__link coupon-page-navigation__link--next']")
        WebDriverWait(driver, 15).until(EC.element_to_be_clickable((By.CSS_SELECTOR,  ".name:nth-child(1)")))
        WebDriverWait(driver, 15).until(lambda driver: driver.execute_script('return document.readyState') == 'complete')
        element = WebDriverWait(driver, 15).until(lambda driver: driver.find_element(By.CSS_SELECTOR, ".name:nth-child(1) , bf-coupon-table:nth-child(1) tr:nth-child(1) .matched-amount-value"))
        scroll = driver.find_element(By.CSS_SELECTOR, ".coupon-page-navigation__label--next")
        driver.execute_script("arguments[0].scrollIntoView();", scroll)
        NextStory = WebDriverWait(driver, 3).until(EC.element_to_be_clickable((By.CSS_SELECTOR, 'bf-coupon-page-navigation > ul > li:nth-child(4) > a')))
        match = driver.find_element(By.CSS_SELECTOR, ".name:nth-child(1)")

        matches = driver.find_elements(By.CSS_SELECTOR, "CSS_SELECTOR")

        Team1 = driver.find_elements(By.CSS_SELECTOR, ".name:nth-child(1)")
        for value in Team1:
            print(value.text)

        BackOdds = driver.find_elements(By.CSS_SELECTOR, ".coupon-runner:nth-child(1) .back-selection-button .bet-button-price")
        for value2 in BackOdds:
            print(value2.text)

        Team2 = driver.find_elements(By.CSS_SELECTOR, ".name:nth-child(2)")
        for value1 in Team2:
            print(value1.text)

        LayOdds = driver.find_elements(By.CSS_SELECTOR, ".coupon-runner:nth-child(1) .lay-selection-button .bet-button-price")
        for value3 in LayOdds:
            print(value3.text)
        #bf-coupon-page-navigation > ul > li:nth-child(4) > a
        driver.find_elements(By.CSS_SELECTOR, "bf-coupon-page-navigation > ul > li:nth-child(4) > a[class = 'coupon-page-navigation__link coupon-page-navigation__link--next']")

        WebDriverWait(driver, 3).until(EC.presence_of_element_located((By.CSS_SELECTOR,  "bf-coupon-page-navigation > ul > li:nth-child(4) > a[class = 'coupon-page-navigation__link coupon-page-navigation__link--next']")))

        NextStory.click()


        for match in matches:
            #print(match.text)
            driver.find_elements(By.CSS_SELECTOR, "bf-coupon-page-navigation > ul > li:nth-child(4) > a[class = 'coupon-page-navigation__link coupon-page-navigation__link--next']")
            WebDriverWait(driver, 3).until(EC.presence_of_element_located((By.CSS_SELECTOR, "bf-coupon-page-navigation > ul > li:nth-child(4) > a[class = 'coupon-page-navigation__link coupon-page-navigation__link--next']")))
            NextStory.click()
    except:
        i = 6
        print('error')
        pass

#PANDA'S SCRAPING TO EXCEL
########################################################################################################################################################################
ls = []

for value in Team1:
  df1 = ls.append(value.text)

for value2 in BackOdds:
  df2 = ls.append(value2.text)

for value1 in Team2:
  df3 = ls.append(value1.text)

for value3 in LayOdds:
  df4 = ls.append(value3.text)

df1 = pd.DataFrame(data=ls)
df2 = pd.DataFrame(data=ls)
df3 = pd.DataFrame(data=ls)
df4 = pd.DataFrame(data=ls)
#print(df1)
#print(df2)
#print(df3)
#print(df4)

#df1.to_excel('output.xlsx', engine='openpyxl', sheet_name='Sheet_name_1', startcol=1)
#df2.to_excel('output.xlsx', engine='openpyxl', sheet_name='Sheet_name_1', startcol=2)
#df3.to_excel('output.xlsx', engine='openpyxl', sheet_name='Sheet_name_1', startcol=3)
#df4.to_excel('output.xlsx', engine='openpyxl', sheet_name='Sheet_name_1', startcol=4)

with pd.ExcelWriter('output.xlsx', engine='openpyxl', mode='a', if_sheet_exists='replace') as writer:
    df1.to_excel(writer, engine='openpyxl', sheet_name='Sheet_name_1', startcol=2)
    df2.to_excel(writer, engine='openpyxl', sheet_name='Sheet_name_1', startcol=2)
    df3.to_excel(writer, engine='openpyxl', sheet_name='Sheet_name_1', startcol=3)
    df4.to_excel(writer, engine='openpyxl', sheet_name='Sheet_name_1', startcol=4)

print('Script Completed')