select

regexp_substr_all(SUBSTR(data, 11, len(data)), '.{64}') AS segmented_data,

concat('0x', substr(segmented_data[0], 17, 40)) as game,

ethereum.public.udf_hex_to_int(substr(segmented_data[17], 1, 56) :: STRING) :: FLOAT as sport_tag

from optimism.core.fact_event_logs

where origin_function_signature = '0xac2c957c'

and origin_to_address = '0x2b91c14ce9aa828ed124d12541452a017d8a2148'

and topics[0] = '0x889e2060e46779287c2fcbf489c195ef20f5b44a74e3dcb58d491ae073c1370f'),

game_sport as (

select

game,

case

when sport_tag = '9002' then 'NFL'

when sport_tag = '9003' then'Baseball'

when sport_tag = '9007' then 'MMA'

when sport_tag in ('9010', '9011', '9012', '9013', '9014', '9015') then 'Soccer'

end as sport

from source),

bet_transactions as (

select

distinct ft.tx_hash as tx,

tt.contract_address as currency,

regexp_substr_all(SUBSTR(input_data, 11, len(input_data)), '.{64}') AS segmented_data,

concat('0x', substr(segmented_data[0], 25, 40)) as game,

ethereum.public.udf_hex_to_int(segmented_data[3] :: STRING) :: FLOAT as paid_bet,

ft.from_address as bettor,

date_trunc('day', ft.block_timestamp::date) as TIME

from optimism.core.fact_transactions ft

inner join optimism.core.fact_token_transfers tt on tt.tx_hash = ft.tx_hash

where ft.tx_hash in (

select tx_hash

from optimism.core.fact_token_transfers

where to_address = '0x170a5714112daeff20e798b6e92e25b86ea603c1'