henlopen conference
in the henlopen conference , the senators had a better overall record than the golden knights .
{'row_1': '2', 'row_2': '1', 'col': '4', 'col_other': '2', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None}
{'func': 'greater', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'team', 'senators'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose team record fuzzily matches to senators .', 'tostr': 'filter_eq { all_rows ; team ; senators }'}, 'overall record'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; team ; senators } ; overall record }', 'tointer': 'select the rows whose team record fuzzily matches to senators . take the overall record record of this row .'}, {'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'team', 'golden knights'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose team record fuzzily matches to golden knights .', 'tostr': 'filter_eq { all_rows ; team ; golden knights }'}, 'overall record'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; team ; golden knights } ; overall record }', 'tointer': 'select the rows whose team record fuzzily matches to golden knights . take the overall record record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; team ; senators } ; overall record } ; hop { filter_eq { all_rows ; team ; golden knights } ; overall record } } = true', 'tointer': 'select the rows whose team record fuzzily matches to senators . take the overall record record of this row . select the rows whose team record fuzzily matches to golden knights . take the overall record record of this row . the first record is greater than the second record .'}
greater { hop { filter_eq { all_rows ; team ; senators } ; overall record } ; hop { filter_eq { all_rows ; team ; golden knights } ; overall record } } = true
select the rows whose team record fuzzily matches to senators . take the overall record record of this row . select the rows whose team record fuzzily matches to golden knights . take the overall record record of this row . the first record is greater than the second record .
{'greater_4': 'greater', 'result_5': 'true', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'team_7': 'team', 'senators_8': 'senators', 'overall record_9': 'overall record', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'team_11': 'team', 'golden knights_12': 'golden knights', 'overall record_13': 'overall record'}
['school', 'team', 'division record', 'overall record', 'season outcome']
[['sussex central', 'golden knights', '6 - 0', '7 - 4', 'loss in first round of div i playoffs'], ['dover', 'senators', '5 - 1', '8 - 4', 'loss in semi - finals of div i playoffs'], ['cape henlopen', 'vikings', '4 - 2', '8 - 2', 'failed to make playoffs'], ['caesar rodney', 'riders', '3 - 3', '3 - 7', 'failed to make playoffs'], ['smyrna', 'eagles', '2 - 4', '5 - 5', 'failed to make playoffs'], ['sussex tech', 'ravens', '1 - 5', '4 - 6', 'failed to make playoffs'], ['milford', 'buccaneers', '0 - 6', '1 - 9', 'failed to make playoffs']]