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Solution attached.
And in the Python Tool,
Spoiler
from ayx import Alteryx
df = Alteryx.read('#1')
cols = ['Tournament', 'Winner', 'WRank', 'LRank']
rows = df['Round'] == 'The Final'
df = df.loc[rows, cols]
df[['WRank', 'LRank']] = df[['WRank', 'LRank']].astype(int)
df['RankDiff'] = df['WRank'] - df['LRank']
dfg = df.groupby('Tournament')['RankDiff'].agg(['count', 'mean'])
tournament = dfg[dfg['count']>=20].nlargest(1, 'mean').index[0]
df = df.loc[df['Tournament']==tournament]
output = df.groupby('Winner')['Tournament'].count()\
.nlargest(1)\
.reset_index()\
.rename(columns={'Tournament':'Count'})
Alteryx.write(output, 1)
