How about something like this?
```python
import os

import pandas as pd
from selenium import webdriver

os.chdir(r"C:\Users\harsh\Google Drive\sportsintel.shop\Files")
cwd = os.getcwd()
print(cwd)

browser = webdriver.Chrome()


class GameData:

    def __init__(self):
        self.dates = []
        self.games = []
        self.scores = []
        self.home_odds = []
        self.draw_odds = []
        self.away_odds = []


def parse_data(url):
    browser.get(url)
    df = pd.read_html(browser.page_source, header=0)[0]
    game_data = GameData()
    game_date = None
    for row in df.itertuples():
        if not isinstance(row[1], str):
            continue
        elif ':' not in row[1]:
            game_date = row[1].split('-')[0]
            continue
        game_data.dates.append(game_date)
        game_data.games.append(row[2])
        game_data.scores.append(row[3])
        game_data.home_odds.append(row[4])
        game_data.draw_odds.append(row[5])
        game_data.away_odds.append(row[6])

    return game_data


if __name__ == '__main__':
    urls = ["https://www.oddsportal.com/soccer/england/premier-league/results/",
            "https://www.oddsportal.com/soccer/england/premier-league/results/#/page/2/"]

    results = None

    for url in urls:
        game_data = parse_data(url)
        result = pd.DataFrame(game_data.__dict__)
        if not results:
            results = result
        else:
            results = results.append(result, ignore_index=True)
```

The class, although not needed, groups everything and keeps it clean.  Plus if you ever have to use this data in other methods you don't have to have 6 args.

As your code gets more sophisticated you can decouple the parsing logic so you could use the same grouping code for multiple sites.