Website with interactive chart that visualizes NBA players' stats under clutch circumstances. As a result, the clutchness of NBA players may be accurately compared and discussed.
Unfortunately, there's been a long history of stats.nba.com blocking various cloud provider IPs, as shown in 2019, 2018, and 2017. I tried hosting it on PythonAnywhere, Heroku, and OxyCreates, but ran into this problem as well. As a result, it seems as though NBA's stats API can only be requested from a local server.
Accurately determining the clutchness of an NBA player requires a wealth of data across long periods of time. Thanks to swar and NBA.com, this web app pulls from this data and visualizes it in a comprehensible manner, allowing users to settle the age-old argument: who's more clutch?
The data is pulled directly from stats.nba.com, which is updated after every game, using the Python library nba_api made by user swar. So, yes!
It's hard to say. An error message usually occurs for two reasons: this game scenario hasn't happened, or it didn't happen. I'd suggest modifying the parameter that seems most illogical!
The data pulled from stats.nba.com is not stored in any database, nor is it used for monitziation purposes. All statistics are directly attibuted to stats.nba.com.