This is hard to predict. Because I can not see how this could be calculated flawless in SDQL.
This is hard to predict. Because I can not see how this could be calculated flawless in SDQL.
Some guy on google groups said that every possession ends in either a turnover or a shot attempted, so you just need to add those together to get possessions. I think he was (at the very least) missing something because a possession could also end in freethrows attempted. But that might be it: shots attempted + turnovers + freethrows/2 might be pretty close to number of possessions.
Last edited by pip2; 02-04-15 at 09:19 AM.
the and 1s could be misleading, as the shots are counted so by this math 2 FGM + 2 FT would mean 3 possessions but there were in fact 2. so it is as close as it gets, but yet not correct.
Would like your opinion guys, on situations, where great trend, after filtering becomes a good one.
For example. Trend as is, has 70% hit rate. But after filtering (month or season or line or rest or few of the above) it becomes 55% - 57%. On paper it's still a good trend, but in reality, it's obvious that if there is a spot where trend not at his best, it's current spot. Do you still play it?
76 and 183 are the same trend... Deleted 183.
i took trend 284 up to the deleted 183
I would really like to mess around more with this, but its like I have to try 10 times before I can get it by without a timeout:
(tA(FGA) + tA(TO) + tA(FTA) * .44 - tA(offensive rebounds)) - 9 > (tA(FGA,N=3) + tA(TO,N=3) + tA(FTA,N=3) * .44 - tA(offensive rebounds,N=3))
Team's average possessions for the season drops by 9 or more for the last 3 games: ATS lose and UNDER both at 59 per cent with a sample size of 100. I would love to play with the number 9 to bring the sample size up and then try to work in some numbers that deal with the opponent's possessions as well, but that would probably never get past the timeout barrier...
p:HDW and pp:HDW and game number > 41 and rest >0
NCAAB:
HF and line <= -10 and p:ou margin >= 24 and 60 < WP < 80 and o:WP < 50
Last edited by nash13; 02-04-15 at 04:43 PM.
Here is what i saw for tonight
DET/IND
none
BRK/TOR
over 212
under 86
toronto 281 234 93
WAS/ATL
atl 80
DEN/BOS
over 87
under 146
denver 257 76 55
CHI/HOU
over 108
chicago 74
houston 195
MIA/MIN
none
LAK/MIL
over 253
OKC/NOLA
under 258 31
okc 26
ORL/SAS
over 279 253 108 62
MEM/UTA
under 149
memphis 120 26
utah 222 208 13
DAL/GST
over 87
under 205
dallas 63
g state 138
I am just trying to learn this code. Can you tell me if I got it right? We are fading home favorites who are 10 point or greater favorites, who went at least 24 points over the total in their previous game, who have a win percentage between 60 and 80 percent and are playing an opponent with a win percentage less than 50%. Do I have that correct? Thanks, this is a great thread.
season >= 2009 and (tA(FGA) + tA(TO) + tA(FTA) * .44 - tA(offensive rebounds)) - 5 > (tA(FGA,N=2) + tA(TO,N=2) + tA(FTA,N=2) * .44 - tA(offensive rebounds,N=2)) and (oA(FGA) + oA(TO) + oA(FTA) * .44 - oA(offensive rebounds)) - 5 > (oA(FGA,N=2) + oA(TO,N=2) + oA(FTA,N=2) * .44 - oA(offensive rebounds,N=2))
Got the above to go through --
SU: 102-102 (0.00, 50.0%)
ATS: 99-99-6 (0.00, 50.0%) avg line: 0.0
O/U: 82-122-0 (-4.26, 40.2%) avg total: 192.9