Here's one detailing the next game after a bad FT shooting night for a good FT shooting team on high volume:
tA(FTP)>75 and p:FTP<65 and p:FTA>25 and season>2007 and 190 < total < 200
Last edited by hyahya; 11-12-14 at 05:29 PM.
Here's one detailing the next game after a bad FT shooting night for a good FT shooting team on high volume:
tA(FTP)>75 and p:FTP<65 and p:FTA>25 and season>2007 and 190 < total < 200
Last edited by hyahya; 11-12-14 at 05:29 PM.
NBA SDQL 'BEST BET' 2014-15
11-12-14 - Plays
So far....
nash13 - PORT OV 209 (1.04 to win 1)
pip2 - NO -10.5 (1.05 to win 1)
hyahya - PORT OV 209 (1.1 to win 1)
Consigliere - DET +7 (1.2 to win 1)
Mako-SBR - PORT +3 (1.1 to win 1)
JMon - ORL OV 193.5 (1.1 to win 1)
Ronald S. - PORT +3 (1.05 to win 1)
Please let me know of errors.
A little considering a move that large is probably a "sharp" or "syndicate" move. Would be nice to know what previous totals for games in Mexico look like given I vaguely remember there was an AC problem there for at least one of the games which may have caused the defense to sag (not sure if that problem is chronic though).
FlyinAir.. odds need to be posted for this play to count.
Portland +3@ -110
Books may have set the total low on purpose. So far, every Houston game has gone Under and last 2 by a good amount. I think they underestimate Houston's defense this year! May wait to see if it goes higher but Under 205.5 looks good now especially looking at hyahya's trend
NBA SDQL 'BEST BET' 2014-15
11-12-14 - Plays
So far....
nash13 - PORT OV 209 (1.04 to win 1)
pip2 - NO -10.5 (1.05 to win 1)
hyahya - PORT OV 209 (1.1 to win 1)
Consigliere - DET +7 (1.2 to win 1)
Mako-SBR - PORT +3 (1.1 to win 1)
JMon - ORL OV 193.5 (1.1 to win 1)
Ronald S. - PORT +3 (1.05 to win 1)
FlyinAir - PORT +3 (1.1 to win 1)
Please let me know of errors.
Consigliere, those graphs are an awesome tool to discern between long term and short term trends. Many thanks to you and all who have put in hard labor on the spreadsheet.
I would argue that having time demarcations in the graph would be helpful as you'd be able to gauge frequency of occurrence in a given time span from where we may be able to drill down to the variable level. For example, if the occurrence of teams FTA<21 rises, then maybe we can deduce a slight shift in the way games are called. Of course, this is simply icing and would depend on time required.