Here's another:
HD and season>2009 and p: points<100 and pp: points<100 and tA(points)>100
Probably a little too general. Changing to:
HD and season>2009 and p: points<100 and pp: points<100 and tA(points)>100 and p:W
More descriptive of the actual situation but drops our sample size significantly and shows less consistency over time as it's 2-9 since 2009 but only 8-17 since 2002 (6-8 between 2002-2009)
Like this one quite a bit:
HD and season>2002 and p:AL and pp:A and ppp:A and pppp:A and ppppp:A and op:W
I actually like it best for the under.
I like Over in Atlanta - days of the week and Toronto playing on a road off a home loss with day's rest - both show clear Over tendency in Raptors games.
If you guys are making play on a trend, cant it be said that there is a trend for the other side too. Thanks
I like to look at the specific spot, pick out 3 or 4 factors I deem most relevant to input into the SDQL search. From there I attemmpt to fine tune it. I try to avoid the pitfalls of data mining bias this way.
For the above query, I felt first game back from a 4+ game road trip with the last game being a loss against a AF coming off a home win were the most relevant factors. Could've also input conference!=o:conference as that accounts for a portion of the cross continent travel given it's the first game of a western road trip for the Wiz.
p:HFL and tA(o: points)<100 and po: points>110 and op:W and opp:W and oppp:W and opppp:W
A decent defensive team after allowing more then 110 points at home in a loss as the favourite against a team on a 4 win streak
Does anyone consider the the SDQL DAILY NBA TIPSHEET plays?