Python Pandas how to calculate the average of multiple DataFrame?

Question

Python

There is a list of several dataframes of the same type with the same dates.

import pandas as pd

dfs=[
    pd.DataFrame([['2020-08-13','John', 30],
                  ['2020-08-14','John', 20],
                  ['2020-08-15','John', 35]],
                columns=['id','name', 'value']),

    pd.DataFrame([['2020-08-13','Mike', 10],
                  ['2020-08-14','Mike', 25],
                  ['2020-08-15','Mike', 5]],
                columns=['id','name', 'value']),

    pd.DataFrame([['2020-08-13','Ken', 8],
                  ['2020-08-14','Ken', 17],
                  ['2020-08-15','Ken', 10]],
                columns=['id','name', 'value'])
]

How to create a resultant with the calculation of arithmetic averages by dates?

like this

pd.DataFrame([['2020-08-13','mean', среднее на дату],
              ['2020-08-14','mean', среднее на дату],
              ['2020-08-15','mean', среднее на дату]],
            columns=['id','name', 'value'])