How can I target and scrape a data-stat

[snippsat]

Make into list with text output then zip() it together.
Example.

>>> players = [tag.text for tag in players]
>>> assists = [tag.text for tag in assists]
>>> zip(player, assists)
<zip object at 0x000000001D9ED580>
>>> record = dict(zip(player, assists))
>>> record
{'Aaron Wan-Bissaka': '2',
 'Alex Telles': '1',
 'Amad Diallo': '',
 'Andreas Pereira': '',
 'Anthony Elanga': '0',
 'Anthony Martial': '0',
 'Brandon Williams': '29',
 'Bruno Fernandes': '0',
 'Cristiano Ronaldo': '1',
 'Daniel James': '0',
 'David de Gea': '5',
 'Dean Henderson': '',
 'Diogo Dalot': '2',
 'Donny van de Beek': '',
 'Edinson Cavani': '0',
 'Eric Bailly': '0',
 'Fred': '3',
 'Harry Maguire': '0',
 'Jadon Sancho': '0',
 'Jesse Lingard': '0',
 'Juan Mata': '',
 'Luke Shaw': '2',
 'Marcus Rashford': '7',
 'Mason Greenwood': '0',
 'Nemanja Matić': '1',
 'Paul Pogba': '1',
 'Phil Jones': '0',
 'Player': '0',
 'Raphaël Varane': '0',
 'Scott McTominay': '3',
 'Squad Total': '24',
 'Tom Heaton': '',
 'Victor Lindelöf': '1'}
>>> record['Brandon Williams']
'29'

Also look at Pandas it's great for reading table in from html.
Then have lot of power to finding eg statistic about players and games
Example NoteBook.