Hey,
I’m currently using the Kickbase-API for my own little programming project creating a webapp, that delivers insights about market value development for the 2. German Bundesliga. However, I noticed that for a few weeks now, the market values seem to be incorrect.
For example, almost all HSV players return a market value of 500.000:
This is what my code looks like:
from kickbase_api.kickbase import Kickbase
import pandas as pd
kickbase = Kickbase()
df = pd.DataFrame()
team = kickbase.team_players(6)
for j in range(0,len(team)):
temp = pd.DataFrame([[team[j].id, team[j].team_id, team[j].first_name, team[j].last_name, team[j].market_value]],
columns=['ID','TeamID','Vorname',"Nachname","Marktwert"]
)
df = df.append(temp)
df = df.set_index("ID")
df.TeamID = pd.to_numeric(df.TeamID)
df.index = pd.to_numeric(df.index)
df
And this is the output:

Do you have any idea what could be the reason for this?
Thank you & Best Regards
LukeS28
Hey,
I’m currently using the Kickbase-API for my own little programming project creating a webapp, that delivers insights about market value development for the 2. German Bundesliga. However, I noticed that for a few weeks now, the market values seem to be incorrect.
For example, almost all HSV players return a market value of 500.000:
This is what my code looks like:
And this is the output:

Do you have any idea what could be the reason for this?
Thank you & Best Regards
LukeS28