Waters
Yes the color is better... Apparently, I have to save my picks to google doc in order to keep the color. I will try to align header... I have no idea why that isn't aligned. It obviously aligned in my program so I can't tell what is going on.
A Quant...
I will first address the 10-7-1 comment versus my 11-7 stated record. I DO NOT TAKE OT into ACCOUNT. I repeat I DO NOT TAKE OT into ACCOUNT. Whatever the score is at the end of regulation that is what gets recorded. Whatever happens in OT, I don't care. I will win some games that I count as losses and I will lose some games that I count as wins. My model is trying to predict what happens in regulation time. All bets are off in OT. So the Arkansas OK St game was tied at end of regulation, and my system said takes Arkansas and the points, that counts as a win. You can argue with me until your hearts content. My model will always predict the end of score in regulation. In truth, there is no other way to model it. The time in the game has to be standardized.
As far as NIU... versus Pitt... all of this is based off of one games statistics. However, it is still awesome that I predicted down to the margin of victory the NIU score. Nobody would have believed that to be possible.
Water and A Quant...
The more data... the more stats will normalize. Haven't I stated from day 1 that I don't bet Week 1 or Week 2 or Week 3. The scores and stats are going to be crazy skewed. In fact, I am worried that Week 4 might be too early, but I have decided to bet that week anyway.
You both look at my numbers and say they are way off. Of course, they are it has only been two weeks. They will fall in line.
What I am tracking this season during the first few weeks is not my numbers but my algorithmic match up filters beyond the numbers. Generating my projected numbers is only the first step in my process. I then filter my picks based on parameters and past match up data. I have tracked multiple games at this point and what I am analyzing the most right now is where my model is weak versus Vegas and where it is strong.
As stated, I used this process during college basketball and crushed it. I am going to use the same process here. What I believe that I am doing somewhat unique is that I first generate my own numbers. This has almost nothing to do with Vegas. NOTHING. But based on past data and experience I have examined matchups that work with my projected numbers. This is why some games that show an obvious bet are not bet and some games that are closer to Vegas say to bet it.
I have examined game after game after game. Right now, my projected points teamed up with filtered algorithms work.
See me in a couple of weeks when things normalize. Maybe I go 0-whatever this week. I love where my model sits and it will only get better.
Dave
Mack the Teach
Yes the color is better... Apparently, I have to save my picks to google doc in order to keep the color. I will try to align header... I have no idea why that isn't aligned. It obviously aligned in my program so I can't tell what is going on.
A Quant...
I will first address the 10-7-1 comment versus my 11-7 stated record. I DO NOT TAKE OT into ACCOUNT. I repeat I DO NOT TAKE OT into ACCOUNT. Whatever the score is at the end of regulation that is what gets recorded. Whatever happens in OT, I don't care. I will win some games that I count as losses and I will lose some games that I count as wins. My model is trying to predict what happens in regulation time. All bets are off in OT. So the Arkansas OK St game was tied at end of regulation, and my system said takes Arkansas and the points, that counts as a win. You can argue with me until your hearts content. My model will always predict the end of score in regulation. In truth, there is no other way to model it. The time in the game has to be standardized.
As far as NIU... versus Pitt... all of this is based off of one games statistics. However, it is still awesome that I predicted down to the margin of victory the NIU score. Nobody would have believed that to be possible.
Water and A Quant...
The more data... the more stats will normalize. Haven't I stated from day 1 that I don't bet Week 1 or Week 2 or Week 3. The scores and stats are going to be crazy skewed. In fact, I am worried that Week 4 might be too early, but I have decided to bet that week anyway.
You both look at my numbers and say they are way off. Of course, they are it has only been two weeks. They will fall in line.
What I am tracking this season during the first few weeks is not my numbers but my algorithmic match up filters beyond the numbers. Generating my projected numbers is only the first step in my process. I then filter my picks based on parameters and past match up data. I have tracked multiple games at this point and what I am analyzing the most right now is where my model is weak versus Vegas and where it is strong.
As stated, I used this process during college basketball and crushed it. I am going to use the same process here. What I believe that I am doing somewhat unique is that I first generate my own numbers. This has almost nothing to do with Vegas. NOTHING. But based on past data and experience I have examined matchups that work with my projected numbers. This is why some games that show an obvious bet are not bet and some games that are closer to Vegas say to bet it.
I have examined game after game after game. Right now, my projected points teamed up with filtered algorithms work.
See me in a couple of weeks when things normalize. Maybe I go 0-whatever this week. I love where my model sits and it will only get better.
Dave
Mack the Teach