Get column values of a DataFrame if values of same column name matches and the name of the column matches row value of another DataFrame

Question

I have two following dataframes df1 and df2:

df1:

ID	number	Result
13256	99	NaN
15556	100	NaN
14556	100	NaN

df2:

13256	15556	14556	number
12	1	4	99
10	2	5	100
11	3	6	101

Basically, I want to get the values from df2 where values in the number columns match and the name of the column in df2 matches the row value of ID column in df1. The values I get, I want to add them in column Result in df1.

So the expected output is:

ID	number	Result
13256	99	12
15556	100	2
14556	100	5

I tried something like this but still couldn't succeed it:

    for index, row in df1.iterrows():
        if ((row['ID'] in df2.columns) and (df2.loc[0, 'number'] == row['number'])):
    
            value = row['number']
            print(value)

I appreciate any help!