Statement: the home team scored 17.5 (107) on sunday , january 30th

Input Table: 2000 ansett australia cup

Step 1: Select rows where the 'home_team' is 'adelaide'.
home_team home_team_score away_team away_team_score ground crowd date
adelaide 17.5 (107) melbourne 19.11 (125) football park 12239 9999-01-30
geelong 10.14 (74) st kilda 11.12 (78) waverley park 7394 9999-01-30
st kilda 9.12 (66) melbourne 13.14 (92) waverley park 10533 9999-02-05
adelaide 19.10 (124) geelong 15.12 (102) football park 11326 9999-02-06
adelaide 14.11 (95) st kilda 15.12 (102) football park 13086 9999-02-13
geelong 17.12 (114) melbourne 11.16 (82) waverley park 4952 01-14-9999

Step 2: Select rows where the 'home_team_score' is '17.5 (107)'.
home_team home_team_score away_team away_team_score ground crowd date
adelaide 17.5 (107) melbourne 19.11 (125) football park 12239 9999-01-30
adelaide 19.10 (124) geelong 15.12 (102) football park 11326 9999-02-06
adelaide 14.11 (95) st kilda 15.12 (102) football park 13086 9999-02-13

Step 3: Select rows where the 'date' is '9999-01-30'.
home_team home_team_score away_team away_team_score ground crowd date
adelaide 17.5 (107) melbourne 19.11 (125) football park 12239 9999-01-30

Step 4: Use a `CASE` statement to return TRUE if the number of rows is equal to 1, otherwise return FALSE.
home_team home_team_score away_team away_team_score ground crowd date
adelaide 17.5 (107) melbourne 19.11 (125) football park 12239 9999-01-30

verification_result
TRUE

Prediction: TRUE