the method "boxscorefourfactorsV2" does not scrape some data well.

[RubenRuVito]

Hi!, and first of all thank you for the development and maintenance of this API. By using this method, I have realized that the data is not the same as that of the scraping website. for example for the first game of the 2021-22 season there are some decimal differences.

To prove the evidence I get the data from the first game.. df_4factors = endpoints.boxscorefourfactorsv2.BoxScoreFourFactorsV2(game_id=22100001).get_data_frames()[1]

and on the NBA website for the same statistics...

it seems that both TOV% and OREB% are losing decimals..

I have not discovered if there is any other way, through your api to recover the advanced statistics of the 4 factors; if it existed, how could I do it?.

Bye, and thanks for the api.

[TK05]

The table you're comparing it to (second image) is actually using the TeamGameLogs endpoint. This looks to be an inconsistency between the two endpoints and and issue with these endpoints returning different results.

The BoxScoreFourFactorsV2 endpoint is on this page (7.4 TOV%): https://www.nba.com/game/bkn-vs-mil-0022100001/box-score?type=fourfactors

The TeamGameLogs endpoint is used on the multi-game table (https://www.nba.com/stats/teams/boxscores-four-factors/?Season=2021-22&SeasonType=Regular%20Season&sort=gdate&dir=-1) and, unfortunately, returns slightly different results for the same game_id (7.8 TOV%):

Neither of these values match or are even close to the boxscore four factor values on bball-ref (https://www.basketball-reference.com/boxscores/202110190MIL.html) so I could not tell you which endpoint is "more" accurate unfortunately.