NCAAF WEEK 7 Tico Joe's Statistical ATS Week #2
If it is a good bet the percentage chance that NIU will win is closer to 55%.
If it is a good bet the percentage chance that NIU will win is closer to 55%.
whatever you do is working, your making money, its respectable, only pick I'd disagree with is Air Force(although you said possible play), AF literally has the worse defense in the country, ranked dead last in scoring defense and SDSU appears to have found rhythm on offense the past three weeks
whatever you do is working, your making money, its respectable, only pick I'd disagree with is Air Force(although you said possible play), AF literally has the worse defense in the country, ranked dead last in scoring defense and SDSU appears to have found rhythm on offense the past three weeks
but are they really 75% or do people just believe they are? and even if they were, the problem is finding them. if a bettor really KNEW certain games were best bets, why would he make any other wagers?
yet people constantly do this--even 'jdn money' who wins big on his 'monster plays' yet still wagers on other games. the only exception i know of was a poster named 'mr. perfect' who only showed up a few times a year with just one pick and was almost never wrong
but are they really 75% or do people just believe they are? and even if they were, the problem is finding them. if a bettor really KNEW certain games were best bets, why would he make any other wagers?
yet people constantly do this--even 'jdn money' who wins big on his 'monster plays' yet still wagers on other games. the only exception i know of was a poster named 'mr. perfect' who only showed up a few times a year with just one pick and was almost never wrong
but are they really 75% or do people just believe they are? and even if they were, the problem is finding them. if a bettor really KNEW certain games were best bets, why would he make any other wagers?
but are they really 75% or do people just believe they are? and even if they were, the problem is finding them. if a bettor really KNEW certain games were best bets, why would he make any other wagers?
but that's different from what you said--you said there are 5-10 games each week that have a 75% likelihood of covering
there are no mathematics to prove this
but that's different from what you said--you said there are 5-10 games each week that have a 75% likelihood of covering
there are no mathematics to prove this
but that's different from what you said--you said there are 5-10 games each week that have a 75% likelihood of covering
there are no mathematics to prove this
In a historical data sense, it is possible to prove that a matchup will have a given % chance of covering or not covering.
The question of how is it possible to assign a % success rate to a given matchup could be answered as follows:
Each game picked would need to fit a given scenario, or have several basic tenants in common, or satisfy a given number of parameters as all other matchups that are also used in the comparison. That is one way to get into a situation where you are truly comparing oranges to oranges, at least in the statistical sense.
So, it is possible to look for common denominators using different criteria as a way to sort out each week's matchups. Point spread situation filters, game stat parameters and characteristics of the teams involved in each individual matchup could be used to "sort" through the matchups and put them in different piles......and then run the success rates of each defined type of matchup vs the point spread over a given number of historical occurences (past results of games vs the points), in order to establish a % chance of success in a future event. This is basic data backtesting, and its validity in accurately predicting future events vary depending on whom you talk to.
Personally, I am not real big on using historical data sets as the end all be all, but they can certainly be a great place to start.
The major pitfall in using historical data sets in an attempt to develop a system or betting approach, is that it is very easy to find yourself back fitting data in order to fit your system. If a high winning percentage is desired then the tendency is to add more filters in order to weed out the losses, even though you may be losing a disproportionate amount of winners to losers with each filter, and killing profitability.
In any case, in the historical sense it is possible to mathematically assign projected winning percentages to a future event. The question of how valid they are is another thing altogether.
BUT if Ticojoe has found something then more power to him....it certainly is possible to develop a successful approach.....and if he can run it up at an 8-4 clip every week, then go get 'em.....my curiousity is certainly peaked, and I hope you continue to post your system picks. ![]()
GL with your picks
but that's different from what you said--you said there are 5-10 games each week that have a 75% likelihood of covering
there are no mathematics to prove this
In a historical data sense, it is possible to prove that a matchup will have a given % chance of covering or not covering.
The question of how is it possible to assign a % success rate to a given matchup could be answered as follows:
Each game picked would need to fit a given scenario, or have several basic tenants in common, or satisfy a given number of parameters as all other matchups that are also used in the comparison. That is one way to get into a situation where you are truly comparing oranges to oranges, at least in the statistical sense.
So, it is possible to look for common denominators using different criteria as a way to sort out each week's matchups. Point spread situation filters, game stat parameters and characteristics of the teams involved in each individual matchup could be used to "sort" through the matchups and put them in different piles......and then run the success rates of each defined type of matchup vs the point spread over a given number of historical occurences (past results of games vs the points), in order to establish a % chance of success in a future event. This is basic data backtesting, and its validity in accurately predicting future events vary depending on whom you talk to.
Personally, I am not real big on using historical data sets as the end all be all, but they can certainly be a great place to start.
The major pitfall in using historical data sets in an attempt to develop a system or betting approach, is that it is very easy to find yourself back fitting data in order to fit your system. If a high winning percentage is desired then the tendency is to add more filters in order to weed out the losses, even though you may be losing a disproportionate amount of winners to losers with each filter, and killing profitability.
In any case, in the historical sense it is possible to mathematically assign projected winning percentages to a future event. The question of how valid they are is another thing altogether.
BUT if Ticojoe has found something then more power to him....it certainly is possible to develop a successful approach.....and if he can run it up at an 8-4 clip every week, then go get 'em.....my curiousity is certainly peaked, and I hope you continue to post your system picks. ![]()
GL with your picks
but are they really 75% or do people just believe they are? and even if they were, the problem is finding them. if a bettor really KNEW certain games were best bets, why would he make any other wagers?
You might have a point regarding simultaneous wagers, but you need to keep your bankroll in play if you want to make money, so you need to have something going in all the time slots (assuming you can get something +ev).
but are they really 75% or do people just believe they are? and even if they were, the problem is finding them. if a bettor really KNEW certain games were best bets, why would he make any other wagers?
You might have a point regarding simultaneous wagers, but you need to keep your bankroll in play if you want to make money, so you need to have something going in all the time slots (assuming you can get something +ev).
but that's different from what you said--you said there are 5-10 games each week that have a 75% likelihood of covering
there are no mathematics to prove this
but that's different from what you said--you said there are 5-10 games each week that have a 75% likelihood of covering
there are no mathematics to prove this
Tico... looks like your final list there has 6 of the same plays as me... and I'm not against any of them... hope your system has some merit!
Tico... looks like your final list there has 6 of the same plays as me... and I'm not against any of them... hope your system has some merit!
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