Every day I'm overin'
tA(points)>=102 and oA(points)>=102 and rest>1 and H and -5<=line<=-3 and season=2013
tA(points)>=102 and oA(points)>=102 and rest>1 and H and -5<=line<=-3 and season=2013
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Comment -
It will be time to break up the Lakers and the 76ers if they do it again
HD and total>200 and division!=o:division and rest>0 and o:rest>0 and tA(W)<.4 and month
SU: 8-37 (-10.20, 17.8%)
ATS:14-31-0 (-3.83, 31.1%)
avg line: 6.4
O/U:20-24-1 (-1.40, 45.5%)
avg total: 212.3Comment -
Oh no, what do we do.. JMon and JAnthony are "clashing today" with the over/under in Mavs game... Not sure which way to go!! LOLComment -
Ok cool so does that mean JAnthony is going to follow Jmon's trend? I like the under as well considering the games between these 2 teams are generally not high scoring.Comment -
That over was too obvious even without any trends.
But, JMon, love the situation you posted, will definitely save it.
Last edited by JAnthony; 04-01-14, 10:25 PM.Comment -
A and P:ats margin <=-10 and P:season=season and P:H and season > 2012
tomorrow buks,warriors.Comment -
teams in this situation are 9-0 straight up as a dog
p:HFW and AD and division=o:division and rest=0 and o:rest>0 and month=4 and line<5
I am typing this with my fingers and toes crossed.....hope I don't put the hex on it.Comment -
Adding to Figue's query
Stole this off of Figue and added to it, expect that he won't mind.
A and P:ats margin <=-10 and P:season=season and P:H and season > 2012 and line>9Comment -
Figue's query
If we go back through the history of the database (back to 1995) and add "total>190 and division!=o:division and line>9 and rest" to Figue's query..........
it looks like the amount of rest makes a difference, as teams off no rest (Golden State) are 32-42 in this scenario, and teams off one day's rest (the stinking Bucks) are 45-31. Do we pick our poison or not?
I will say that the Heat have looked pretty bored throughout the season and as a side note, their median point difference at the half is being up 3 points where their median line has been -9 for the game.Comment -
So, if the Miami line is -17 and the half time line is -9,....Miami has been ahead by greater than 9 points 6 times (one time they were up exactly by 9,) and up by less than 9 in twenty six other games at the half.Comment -
question ??? how does sdql work for the playoffs ??? is there a breakdown for that, within the database ??? thanksComment -
to do queries for the regular season playoffs=0
for play-offs playoffs=1Comment -
<form action="http://killersports.com/nba.py/query" style="color: rgb(0, 0, 0); font-family: 'Times New Roman'; font-size: medium;"><input type="text" name="sdql" id="sdql" size="120" value="AD and P:ats margin <= -10 and P:season = season and P:H and month = 4 and line >= 9 and division != o:division and total > 190 and rest"> <input type="submit" name="submit" size="60" value="S D Q L !"></form>AD and P:ats margin <= -10 and P:season = season and P:H and month = 4 and line >= 9 and division != o:division and total > 190 and ...1 0-1-0 (-17.00, 0.0%) 14.0 1-0-0 (1.00, 100.0%) 204.0 0-1 (-31.00, 0.0%) rest = 3 5 3-2-0 (-4.40, 60.0%) 10.4 3-2-0 (-3.70, 60.0%) 198.5 1-4 (-14.80, 20.0%) rest = 2 21 11-9-1 (-0.67, 55.0%) 12.6 8-12-1 (-3.24, 40.0%) 201.4 0-21 (-13.24, 0.0%) rest = 1 18 5-12-1 (-3.08, 29.4%) 12.1 11-7-0 (2.25, 61.1%) 200.1 1-17 (-15.17, 5.6%) rest = 0
I got totally different answers to Figue's query with modifications today.....if we go to April games only in this scenario teams with no rest going back through the total history of the database, teams with no rest (Warriors) are 5-12 and teams with one days rest are 11-9 (Bucks). Overall teams are 2-42 straight up in this query.
Obviously the overnight line of Milwaukee was way off (the killersports guesstimate was 17 and it actually is 13) and I'll know better in the future to use that. For me, did I really want to go against San Antonio in the first place?Comment -
I tried to give the trends categories based on: Volume of plays, Overall Proft, ROI and Last 3 Years PErformance. Based on that I rated each category from 1 to 3 Points. And after that I calculated an Inex Score for the Total Rating of a Trend. Based on that I have
1 Star Rating Trends:
9 in MLB
14 in NBA
2 in NCAAF
3 in NHL
1 in NFL
2 Star Trends: stronger performance
8 in MLB
22 in NBA
8 in NHL
1 in NCAAF
3 in NFL
and 3 Star Trends:
15 in MLB
8 in NBA
1 in NCAAF
5 in NCAAB
6 in NHL
I will list the 3 Star trends I value the most and will look for your opinion. These are not all mine. Some are from here, others are from the google group. And others are from different sources. If anyone is not ok with that, I will delete them.
MLB 3 Star Trends:
If anyone is not ok with this please let me know, and i will delete anything.p:SIP > 8 and rest <= 0 Sum(( line + 0 < 0 and o: points < points ) * 100 or ( 0 < 0 + line and points < o: points ) * ( -100 ) or ( runs is not None ) * ( line + 0 )@team and season and line < -105)[team and season -1 and line < -105] > 1200 and site = away and line >= -130 temperature < 67 and site == home and line > -105 and line < 180 S(points > o: points@team and season,N=15) >= 12 and WP >= 62 p:WOW and o:WP < 50 and WP > 50 D and p: D and p:W and p:runs <= 3 and P:LOB <= 13 p:margin = 1 and pp:margin = 1 and F A and conference = AL and STDSERA < 3.5 and oA(SSO@o:starter and season) >= 5 and season >= 2009 DIV and D and p:W and 40 < o:WP < 50 tp:runs <= 2 and op:runs <= 2 and conference = AL month = 4 and D and 2 < pp:SHRA + p:SHRA < 5 and pp:BPRA + p:BPRA < 6 and rest < 2 and -5 < streak < 6 and -9 < site streak < 8 and 40 < WP < 61 STR and o:STR and s:margin = -1 and s:streak = 2 and s:biggest lead < 3 and s:errors < 2 and -9 < p:M8 < 3 and p:M8 != -2 and -4 < p:M1 < 3 month = 4 and D and -6 < p:margin < 3 and 4 < p:SO < 8 and 4 < p:SIP < 8 and p:SHRA < 3 and p:HR < 3 and WP < 75 and -7 < streak < 4 and p:PU < 7 and 8 < p:LOB < 17 and o:STR and rest < 2 and p:errors < 3 and 1 < p:fly balls < 14 and -5 < o:streak and p:runs != 6 and p:runs != 5 tp:runs<=2 and op:runs<=2 and conference=AL and A WP > 50 and H and 165 > line >= 100 and o:WP > 50 and SG < 4 and (month = 4 or month = 5 or month = 9 or month = 10) Comment -
NBA 3 Star Trends
AF and -3 <= ats streak <= -1 and 1 <= o:ats streak <= 2 and 1 <= rest <= 2 and 32 < WP < 78 and playoffs = 0 and season >= 2002 A and p:AFL and 1 <= rest <= 2 and season >= 2005 A and p:AFL and rest in [1 , 2 , 3] and 67 >= game number >= 21 and 48 <= WP <= 80 and P:ats margin < 0 and season >= 2000 A and F and p:A and p:L and total >= 198 p:dps > 13 and op:dpa > 13 and rest <= 1 and o:rest <= 1 p:margin < -15 and AF and season > 2005 A and rest <= 2 and line < 0 and p: points + p:line < po: points and opo: points < op: points + op:line and WP > 32 and WP < 78 H and p:AW and pp:AW and season > 2008 Comment -
NCAAB 3 Star Trends
A and P:L and Po: points > 74 and WP >= 40 and WP <= 49 and o:WP > 29 and o:WP < 54 and rest > 0 H and total <= 116.5 166.5 >= total >= 156 and H Average(points@team and season)<=64 and po: points<=60 and ppo: points<=60 and AD and line>5 p:AL and pp:AL and p:margin <= -8 and pp:margin <= -11 and WP <= 50 and rest <= 5 and not C and po: points >= 82 Comment -
NCAAF 3 Star Trend
p: points > 49 and site == home and po: points < p: points and line > -32.5 and p:line < 0 and site == home and line < 0
NHL 3 Star TrendsH and F and p:A and p:F and p:W and date>=20111022 p:shots on goal >= 35 and op:goals = 3 and playoffs = 0 and (site = away or (site = home and p:site = away)) and 0 >= rest - o:rest >= -2 and F D and streak > 3 Average(goals@team and season, N=6) < 3 and Average(shots on goal@team and season, N=3) >= 35 and D and -2 <= rest - o:rest <= 1 and rest > 0 and P:H rest = o:rest and AD and rest = 1 and (P:AD or P:HF) and WP <= 60 and (130 >= line > 115 or line > 150) and P:rest - oP:rest <= 1 season >= 2011 and HF and p:A and p:W and p:line <= -115 Comment -
season=2013 and team and date>20140101
The above query shows us how teams have done SU and ATS since the beginning of the year. It's interesting to note that the Clippers have a point differential of +8.56 and the Suns are +2.45. Adding 3 points for the home team and the line based on performance is Suns +3.11. The actual line is the Suns -3, obviously the linesmaker is trying to attract money on the Clippers because of the Griffith and Crawford injuries. It's been my experience that when a line is skewed like that, that the team who Vegas is trying to attract money to (in this case, the Clippers) loses about 55-57% of the time....in other words in a significant percentage of time when the statistical determining of a line is off, the winner is often the line disadvantaged team. In my personal experience for the NBA that is >=2.5 differential between what the line should/could be and the actual line that is significant. To sum it up, I think line value is a bunch of garbage and if one can think of what Vegas wants us to do and to the opposite we will be successful more often than not.
In this case, I am not playing the Suns, as I think Griffith is one of the top 2 or 3 over-rated players in the game (can't shoot, can't shoot free throws, etc). Point guards and head coaches are the most important pieces for success in the NBA and the Clippers have top 5 guys at both positions. Obviously, this year the Suns have two very capable people at the same positions and that is why they have made the improvement they have over last year.Comment -
Nice work nash.
Those of us who apply ranking criteria and grade filters to determine whether a random query or scenario we've stumbled upon is worth adding to our collection or not need to talk more about how we determine what goes into those evaluations. I did that briefly at the start of the thread but my own evaluation process has changed a bit since then and I'm going to revisit it soon.
Good job.Comment -
The main goal is to beat the law of averrages. I am aware the no trend is 100% valid to go on like this forever. So I will revisit the ranking at the end of each season. Esp the effect of rule changes NBA, NFL should not be undervalued. Pace of the game has changed a lot in basketball. So it is essentially to keep this updated. If you don't mind, let us know about your criteria when it is all said and done. Good work everyone.Comment -
Great work, Nash! If you can find the time, would you mind posting your lower rated NBA and MLB trends since those seasons are going on now?
Later, I'll post the criteria I like to look at. TIA!Comment -
So we play Raps today?
WP>=65 and rest=0 and 50<=o:WP<=60 and AD and line<=4 and game number>=62Comment -
Look like easy line for Houston, lets play Raptors!!Comment -
Or maybe some Knicks?
p:WHF and po:WP>=65 and rest=0 and AD and season>=2007Comment -
P:season=season and P:F and P:ats margin<=-10 and H and -10<=line<=-7 and rest>0 and season>=2007 and game number>=50
tS(ats margin, N=5)>=35 and A and -4<=line<=0 and rest>1 and o:rest>1 and season>=2000Last edited by JAnthony; 04-02-14, 04:04 PM.Comment -
Hey anthony I am on my phone so it is hard to check sdql but can u give me a quick run down of the parimeters for the knicks today? Appreciate it mateComment -
Team (in this case Brooklyn) won its previous game as home favourite against the opponent with the win percentage of 65% or higher and will be playing as an away dog with no rest.
And we fade Brooklyn at this spot:
7-23 (-7.13, 23.3%) 9-21-0 (-2.65, 30.0%) avg line: 4.5 16-14-0 (1.07, 53.3%) avg total: 200.7 Comment -
I will post the lower rated plays later. The are really not that reliable, but maybe some of you guys can work things out.Comment -
tA(o: points, N=10)>=110 and 93<=oA(points)<=96 and total<=200Comment
