select payer,
case when payer ='0xecfad18ba9582d4f' then 'JoyRide'
when payer ='0x18eb4ee6b3c026d2' then 'Dapper (Mainly Used For NBA TopShot)'
when payer ='0x55ad22f01ef568a1' then 'Blocto'
when payer= '0x1b65c33d7a352c61' then 'Cricket Moments'
when payer= '0x6f649aee955bef6d' then 'RCRDSHP'
when payer= '0x94bb84386cfc3b5d' then 'Everbloom'
when payer= '0x9b00972a3ecb364b' then 'Seussibles'
when payer = '0x93615d25d14fa337' then 'ChainMonsters'
when payer = '0x8234007b36f8113c' then 'Monsoon'
when payer = '0x4bbff461fa8f6192' then 'Fantastec'
when payer = '0x39e42c67cc851cfb' then 'lilico'
else payer end as Payer_Name,
count (distinct t1.tx_id) as TX_Count,
count (distinct proposer) as Users_Count,
sum(EVENT_DATA:amount) as Paid_Fee
from flow.core.fact_transactions t1 join flow.core.fact_events t2 on t1.tx_id = t2.tx_id
where EVENT_TYPE='TokensWithdrawn'
and t1.TX_SUCCEEDED ilike 'true'
group by 1,2
order by Users_Count DESC
limit 10