MLB system releases...
HOU - 2.46
SD - 3.15
PHI - 4.78
ATL - 1.58
I would also like a recommendation on what to do in situations such as in today's SD lineup where three players have never faced the HOU pitcher.
In the above example they have been simply left out of the model This alters the outcome making it less accurate, agree?
Thank You, BLKN
HOU - 2.46
SD - 3.15
PHI - 4.78
ATL - 1.58
I would also like a recommendation on what to do in situations such as in today's SD lineup where three players have never faced the HOU pitcher.
In the above example they have been simply left out of the model This alters the outcome making it less accurate, agree?
Thank You, BLKN
SN - Thank you for your guidance.
HOU - 2.46
SD - 3.15
PHI - 4.78
ATL - 1.58
I would also like a recommendation on what to do in situations such as in today's SD lineup where three players have never faced the HOU pitcher.
In the above example they have been simply left out of the model This alters the outcome making it less accurate, agree?
Thank You, BLKN
yes, it hinders the accuracy, but still gives the lean your looking for. and puts the stats in position to apply 'situational' handicapping, based on the value of the game, and the strength of advantage...best regards, SN
SN - Thank you for your guidance.
HOU - 2.46
SD - 3.15
PHI - 4.78
ATL - 1.58
I would also like a recommendation on what to do in situations such as in today's SD lineup where three players have never faced the HOU pitcher.
In the above example they have been simply left out of the model This alters the outcome making it less accurate, agree?
Thank You, BLKN
yes, it hinders the accuracy, but still gives the lean your looking for. and puts the stats in position to apply 'situational' handicapping, based on the value of the game, and the strength of advantage...best regards, SN
yes, it hinders the accuracy, but still gives the lean your looking for. and puts the stats in position to apply 'situational' handicapping, based on the value of the game, and the strength of advantage...best regards, SN
SN -I agree with you that the application of results within this experiment (BR/RC) be used only as tool in ones handicapping. It is not "be all, end all" result. I have spent substantial time this past week sorting out your ideas in believe to have a understanding of it. I lastly have incorporated The Pythagorean Expectation formula in the variant of Pythaganpat and am pleased by the results.
Thank you for bringing this experiment to the forefront. As well as taking some of your valuable time to answer my questions. It has had a refreshing effect on me and widened my views about handicapping baseball. All in all I believe your experiment has merrit and I plan on continuing to "fine tune" the formulas to suit my handicapping. I look forward to further dicussion, and correspondance..best regards BLKN
yes, it hinders the accuracy, but still gives the lean your looking for. and puts the stats in position to apply 'situational' handicapping, based on the value of the game, and the strength of advantage...best regards, SN
SN -I agree with you that the application of results within this experiment (BR/RC) be used only as tool in ones handicapping. It is not "be all, end all" result. I have spent substantial time this past week sorting out your ideas in believe to have a understanding of it. I lastly have incorporated The Pythagorean Expectation formula in the variant of Pythaganpat and am pleased by the results.
Thank you for bringing this experiment to the forefront. As well as taking some of your valuable time to answer my questions. It has had a refreshing effect on me and widened my views about handicapping baseball. All in all I believe your experiment has merrit and I plan on continuing to "fine tune" the formulas to suit my handicapping. I look forward to further dicussion, and correspondance..best regards BLKN
SN -I agree with you that the application of results within this experiment (BR/RC) be used only as tool in ones handicapping. It is not "be all, end all" result. I have spent substantial time this past week sorting out your ideas in believe to have a understanding of it. I lastly have incorporated The Pythagorean Expectation formula in the variant of Pythaganpat and am pleased by the results.
Thank you for bringing this experiment to the forefront. As well as taking some of your valuable time to answer my questions. It has had a refreshing effect on me and widened my views about handicapping baseball. All in all I believe your experiment has merrit and I plan on continuing to "fine tune" the formulas to suit my handicapping. I look forward to further dicussion, and correspondance..best regards BLKN
The "Pythagorean_Expectation Formula" is designed for MLB handicapping, it's application is a work of art within itself SN
SN -I agree with you that the application of results within this experiment (BR/RC) be used only as tool in ones handicapping. It is not "be all, end all" result. I have spent substantial time this past week sorting out your ideas in believe to have a understanding of it. I lastly have incorporated The Pythagorean Expectation formula in the variant of Pythaganpat and am pleased by the results.
Thank you for bringing this experiment to the forefront. As well as taking some of your valuable time to answer my questions. It has had a refreshing effect on me and widened my views about handicapping baseball. All in all I believe your experiment has merrit and I plan on continuing to "fine tune" the formulas to suit my handicapping. I look forward to further dicussion, and correspondance..best regards BLKN
The "Pythagorean_Expectation Formula" is designed for MLB handicapping, it's application is a work of art within itself SN
It seems I have stumbled on a very interesting use of Sabermetrics here. I must commend Sports_Network on a very thorough and well thought-out system. I have read this thread at least 6 times over the last week and it seems detailed enough for anyone to follow through.
To further the thought process and advancement of this theory..I will give a detailed explanation of my calculation for today’s TOR and NYY game – 1st 5 innings only. I am posting this after the start of the game because I would like to know if my application of this theory is correct, without the consequences of someone taking this information, right or wrong, and losing.
1st thing – I wait until the actual lineup is posted on MLB.com for the game – 1 hour before game time. That way I do not have to predict the lineup or relief pitchers – everything is known at this point.
It seems I have stumbled on a very interesting use of Sabermetrics here. I must commend Sports_Network on a very thorough and well thought-out system. I have read this thread at least 6 times over the last week and it seems detailed enough for anyone to follow through.
To further the thought process and advancement of this theory..I will give a detailed explanation of my calculation for today’s TOR and NYY game – 1st 5 innings only. I am posting this after the start of the game because I would like to know if my application of this theory is correct, without the consequences of someone taking this information, right or wrong, and losing.
1st thing – I wait until the actual lineup is posted on MLB.com for the game – 1 hour before game time. That way I do not have to predict the lineup or relief pitchers – everything is known at this point.
Name BaseRuns AB H Outs
Jeter 0.967 11 3 8
Damon 2.755 16 5 11
Teixeria 4.327 5 3 2
Rodriguez 1.163 12 1 11
Cano 1.430 14 4 10
Swisher 2.084 5 2 3
Matzui 5.228 11 6 5
Cervelli 0.290 3 1 2
Gardner 0.629 3 1 2
Total 18.874 81 26 55
55 outs=18.33 Innings
18.874 Base Runs/18.33 Innings = 1.029 Base Runs per inning
1.029 x 5innings = 5.147 NYY 1st 5 innings
For TOR against Burnett I get 1.65 1st 5 Innings
Name BaseRuns AB H Outs
Jeter 0.967 11 3 8
Damon 2.755 16 5 11
Teixeria 4.327 5 3 2
Rodriguez 1.163 12 1 11
Cano 1.430 14 4 10
Swisher 2.084 5 2 3
Matzui 5.228 11 6 5
Cervelli 0.290 3 1 2
Gardner 0.629 3 1 2
Total 18.874 81 26 55
55 outs=18.33 Innings
18.874 Base Runs/18.33 Innings = 1.029 Base Runs per inning
1.029 x 5innings = 5.147 NYY 1st 5 innings
For TOR against Burnett I get 1.65 1st 5 Innings
For the NYY against Tallet
Name BaseRuns AB H Outs
Jeter 0.967 11 3 8
Damon 2.755 16 5 11
Teixeria 4.327 5 3 2
Rodriguez 1.163 12 1 11
Cano 1.430 14 4 10
Swisher 2.084 5 2 3
Matzui 5.228 11 6 5
Cervelli 0.290 3 1 2
Gardner 0.629 3 1 2
Total 18.874 81 26 55
55 outs=18.33 Innings
18.874 Base Runs/18.33 Innings = 1.029 Base Runs per inning
1.029 x 5innings = 5.147 NYY 1st 5 innings
For TOR against Burnett I get 1.65 1st 5 Innings
excellent contribution, applied perfectly, with a correct assessment...thank you SN
For the NYY against Tallet
Name BaseRuns AB H Outs
Jeter 0.967 11 3 8
Damon 2.755 16 5 11
Teixeria 4.327 5 3 2
Rodriguez 1.163 12 1 11
Cano 1.430 14 4 10
Swisher 2.084 5 2 3
Matzui 5.228 11 6 5
Cervelli 0.290 3 1 2
Gardner 0.629 3 1 2
Total 18.874 81 26 55
55 outs=18.33 Innings
18.874 Base Runs/18.33 Innings = 1.029 Base Runs per inning
1.029 x 5innings = 5.147 NYY 1st 5 innings
For TOR against Burnett I get 1.65 1st 5 Innings
excellent contribution, applied perfectly, with a correct assessment...thank you SN
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