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I was hoping to get a consensus on the best power rankings source for NFL and NCAAF. I appreciate any insight, thanks
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CoRe81 | 3 |
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Does anyone know when Sagarin releases his NFL/NCAAF rankings? Thanks!
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CoRe81 | 3 |
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I wasn't sure if this was the appropriate place to post this or not, and the question reeks of someone naive to the sports wagering world, but I'd appreciate any insight, thanks!
-With the amount of electronic access one has to the sports world, it's hard to not to get lost in the details, and where to even start when it comes to formulating a wager. In your opinion, where should one start in analyzing all this data?... Line moves? Public (Sharp vs Square) Consensus?, Performance Stats? or a combination of everything? Thanks for the insight! |
CoRe81 | 9 |
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Current Record: 5-0
Earnings: $172.54 12/26/2012 Pick: NCAAF: Western Kentucky (-235) NBA: Memphis (-500) |
CoRe81 | 18 |
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Current Record: 4-0
Earnings: $138.06 12/25/2012 Pick: NBA: Clippers (-290)
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CoRe81 | 18 |
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Current Record: 2-0
Earnings: $78.41 12/23/2012 Picks: NFL: Carolina (-380) NCAAB: Fordham (-300)
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CoRe81 | 18 |
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A positive start, albeit a modest one...Here is today's pick:
Current Record: 1-0 Earnings: $13.89 12/22/2012 Pick: NCAAB: ULLafayette (-155) |
CoRe81 | 18 |
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It's a fair observation, but a bit premature given only one wager prediction. The algorithm averages a ML of around -300 in regards to wagers that fall within its parameters, representing the 75% revenue margin noted originally. I went back and forth about going live using this as the initial wager, given the high ML, but figured I might as well get the ball rolling. Give it a few picks to see if it backs up the claim...
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CoRe81 | 18 |
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So I’ve got something working right now that is showing good
return. It’s based on an algorithmic approach applicable to market investment
utilizing RSI and MACD indicators. By redefining the variables (the sportsbook
as a brokerage market, the bet as the commodity, and bettor as the consumer
interest), there appears to be a true correlation in Moneyline prediction
within a set parameter. So far this has been successful with NBA, NCAAB, NFL,
and NCAAF, with foreseeable success in MLB/NHL (beta testing pending seasons starting).
With it being based on parametered ML betting, there is a heightened revenue
margin at 75%, but currently it has been holding firm at 91% going 20-2. I’ll
post wager selections (based on an arbitrary $100 bet) from this algorithm for
anyone interested in following it, or until it embarrasses itself to the scrap
heap of fallen betting systems…
12/21/2012 Pick: NBA: Memphis $100 at ML of (-720) |
CoRe81 | 18 |
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