NCAABB
pp:margin<-30 and p:W and p:line>-5
NCAABB
p:minutes >pp:minutes+30 and op:O
p:minutes >pp:minutes+10 and rest=0
NCAABB
pop:ats margin>20 and p:WA
pop:ats margin<-20 and p:LH
NCAABB
p:field goals made > po:field goals made+5 and p:three pointers made+5 < po:three pointers made and (A or p:A)
Hey Nash I am interested in the video if you could send it to me. Thanks
NCAABB
p:field goals made > po:field goals made and p:fouls > po:fouls+10 and H and total<140
NCAABB
p:field goals made > po:field goals made and po:offensive rebounds > p:offensive rebounds+10 and p:U
Hey Consigliere, do you ever update these figures? I'm pretty curious about how they would read at this point in the season...Originally Posted by Consigliere
Here is an interesting table...how the trends have stacked up so far split by team the choice was on. These are ATS picks only, and haven't split out as fav or dog...would make sense that there are outlier teams when it comes to situational betting practices and maybe as simple as using this to filter out picks. As a whole the ATS picks are doing well and the trends cancelling each other out has proved to be profitable for +9 units or so depending on your juice.
Row Labels Sum of Win Sum of Loose Sum of Unique wins Sum of Unique Losses Buck 1 0 1 0 Bull 7 5 3 2 Cava 3 6 1 2 Celt 3 0 2 0 Clip 12 2 4 0 Griz 3 5 2 3 Hawk 4 1 3 1 Heat 3 1 2 1 Horn 5 0 3 0 Jazz 2 0 2 0 King 3 2 3 1 Knic 2 9 0 3 Lake 3 3 1 2 Magi 5 3 5 2 Mave 4 6 3 2 Nets 2 4 2 3 Nugg 9 7 5 3 Pace 1 2 1 1 Peli 8 7 3 3 Pist 3 1 2 1 Rapt 8 3 4 1 Rock 5 6 2 0 Seve 4 0 2 0 Spur 8 5 5 2 Suns 10 4 5 3 Thun 1 11 1 3 Timb 0 7 0 2 Trai 8 3 4 2 Warr 3 0 1 0 Wiza 1 4 1 3 Grand Total 131 107 73 46
Last edited by pip2; 01-13-15 at 08:59 AM.
NCAABB
AP TOP 25 Week 10 (Jan. 12)
team in [KENTY,VIRG,GONZ,DUKE,VILLA,LOUVI,WISC,UT AH,KAN,ARZ,IAST,NOTRE,WIST,MARY,NOCAR,WV A,VCU,OKL,ARK,TEX,SETHA,BAY,NIOWA,OKL,WY OM]
WYOM I can't delete the space
NCAABB
p:field goals made > po:field goals made+5 and po:field goals attempted > p:field goals attempted+10
NCAABB
p:field goals made > po:field goals made+5 and p:offensive rebounds > po:defensive rebounds and p:total is not None
Looking at Nash's NBA plays that he made with all the queriesm if we look at double plays and remove all the ones that have contradicting plays, we get no less than 17% yield! Very impressive!
that is the beauty of getting a lot of trends together. in essence they squeeze the best out of it. just to clarify misunderstanding, everyone with knowledge and wanting to contribute is invited to join the google sheet. i am going to purchase the aautmation tool, it is not necessary for everyone, but saves a ton of time.Looking at Nash's NBA plays that he made with all the queriesm if we look at double plays and remove all the ones that have contradicting plays, we get no less than 17% yield! Very impressive!
last time i checked we were on the verge of getting over 650+ queries ogether in 6 sports. my manual rsearch for 2014 took about 1 week in 3 sports.
NCAABB
p:margin > op:margin+10 and p:line > op:line+10 and H
NCAABB
p:dps > op:dps+20 and p:line > op:line+20 and p:overtime = op:overtime=0
