Statement: melbourne had the lowest score when playing as the away team

Input Table: 1972 vfl season

Step 1: Order the table by 'away_team_score' in ascending order.
home_team home_team_score away_team away_team_score venue crowd date
footscray 14.7 (91) st kilda 9.11 (65) western oval 18655 1972-07-15
fitzroy 16.14 (110) north melbourne 9.12 (66) junction oval 7007 1972-07-15
essendon 13.12 (90) richmond 17.9 (111) windy hill 22251 1972-07-15
carlton 20.8 (128) south melbourne 8.15 (63) princes park 14465 1972-07-15
hawthorn 19.14 (128) geelong 15.8 (98) glenferrie oval 12425 1972-07-15
collingwood 10.13 (73) melbourne 8.10 (58) vfl park 30883 1972-07-15

Step 2: Select row number 1.
home_team home_team_score away_team away_team_score venue crowd date
collingwood 10.13 (73) melbourne 8.10 (58) vfl park 30883 1972-07-15
carlton 20.8 (128) south melbourne 8.15 (63) princes park 14465 1972-07-15
footscray 14.7 (91) st kilda 9.11 (65) western oval 18655 1972-07-15
fitzroy 16.14 (110) north melbourne 9.12 (66) junction oval 7007 1972-07-15
hawthorn 19.14 (128) geelong 15.8 (98) glenferrie oval 12425 1972-07-15
essendon 13.12 (90) richmond 17.9 (111) windy hill 22251 1972-07-15

Step 3: Select rows where 'away_team' is 'melbourne'.
home_team home_team_score away_team away_team_score venue crowd date
collingwood 10.13 (73) melbourne 8.10 (58) vfl park 30883 1972-07-15

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 venue crowd date
collingwood 10.13 (73) melbourne 8.10 (58) vfl park 30883 1972-07-15

verification_result
TRUE

Prediction: TRUE