array(2) {
[0]=>
string(815) "
select r.*,
rc.info,
t.title as threadtitle,
u.username as username,
u.anonymous as useranonymous,
`f`.`value` AS `flairvalue`,
`ft`.`name` AS `flairname`,
`ft`.`colour` AS `flaircolour`,
`ft`.`icon` AS `flairicon`
from reply as r
join thread as t on t.id = r.threadid
join replycontent as rc on rc.replyid = r.id
join user as u on u.id = r.userid
left join `flair` `f` on `f`.`userid` = `u`.`id` and `f`.`categoryid` = `t`.`categoryid`
left join `flairoption` `ft` on `ft`.`id` = `f`.`flairoptionid`
where r.businessid = :businessId
and r.threadid = :threadId
group by r.id
order by r.utcdated desc
limit 0,50
"
[1]=>
array(2) {
["businessId"]=>
int(1)
["threadId"]=>
int(31508)
}
}

Years ago
NBL Coaches Records
Impressive, but what about the win loss ratios?
Another interesting stat would be close games won. Don't know how you could measure that. Final quarters won, last 5 mins of close games?
