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 = '9010' then 'MLS'

when sport_tag = '9015' then 'Serie A'

when sport_tag = '9012' then 'League 1'

when sport_tag = '9013' then 'Bundesliga'

when sport_tag = '9014' then 'La liga'

when sport_tag = '9011' then 'EPL'

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,

case

when currency = '0xda10009cbd5d07dd0cecc66161fc93d7c9000da1' then sum(paid_bet)/pow(10,18)