Web scaping: how to access the tbody of this table with Python?

In my first try with web scraping with Python I'm trying to extract the content from this webpage:
https://www.sixnationsrugby.com/report/conway-at-the-double-as-ireland-defeat-wales-in-dublin#match-stats.
In particular, I'm trying to take the set of numbers of the table.

I've tried to apply the most common solutions with Pandas, BeautifulSoup but I can't access the tr tag in the tbody.
Can someone indicate me what I'm doing wrong?

Here's the code I tried:
enter image description here

The table data is not contained at that URL, it is fetched from elsewhere by your web browser.

You can use your web browsers Network Tools search through requests, here we've used the first player in the table.

Which returns: https://g9u7p6f6.ssl.hwcdn.net/api/custom/statsPlayer/fixture/21IW8573?lang=en_GB as the source of the table data - which is in JSON format.

The URL is assembled from information contained in the html:

3556 var STATS_API_VARS = {"base_url":"https:\/\/g9u7p6f6.ssl.hwcdn.net\/api\/"};¬

2085         data-article-fixguid="21IW8573"¬                                    

You can extract the url using string slicing:

start = r.text.find('var STATS_API_VARS')
end = r.text.find('}', start) + 1
start = r.text.find('{', start) 

r.text[start:end]
# '{"base_url":"https:\\/\\/g9u7p6f6.ssl.hwcdn.net\\/api\\/"}'

Which can be loaded using the json module:

>>> json.loads(r.text[start:end])['base_url']
'https://g9u7p6f6.ssl.hwcdn.net/api/'

The fixguid can be extracted with beautifulsoup:

>>> soup.find(attrs={'data-article-fixguid': True})['data-article-fixguid']
'21IW8573'

Combining these steps you can:

...

game_url = 'https://www.sixnationsrugby.com/report/conway-at-the-double-as-ireland-defeat-wales-in-dublin#match-stats'

r = requests.get(game_url)

...

api_url = json.loads(r.text[start:end])['base_url']
stats = 'custom/statsPlayer/fixture/'
fixguid = soup.find(attrs={'data-article-fixguid': True})['data-article-fixguid']

player_stats_table = requests.get(api_url + stats + fixguid).json()

An example of loading a subset of the data:

pd.json_normalize(
   player_stats_table['data']['playerStats']['playerStatistics']['teamA']
).filter(regex='player.*Name')

   player.firstName player.lastName
0              Hugo          Keenan
1            Andrew          Conway
2             Garry        Ringrose
3            Bundee             Aki
4              Mack          Hansen
5            Johnny          Sexton
6           Jamison     Gibson-Park
7            Andrew          Porter
8             Ronan        Kelleher
9             Tadhg         Furlong
10            Tadhg          Beirne
11            James            Ryan
12           Caelan           Doris
13             Josh   van der Flier
14             Jack           Conan