1. #1
    Professor1215
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    Runs Scored + Runs Allowed Model Question

    Good afternoon. I would really like some help on this.

    I am currently working on modeling runs scored and runs prevented in the MLB. As it stands now, I have a somewhat functional model.

    My question, is how to properly combine RS/RA to get a total.

    For example, lets say the Yankees are playing the Red Sox. Below are my hypothetical model results.

    NYY Runs Scored = 4
    NYY Runs Allowed = 3

    BOS Runs Scored = 5
    BOS Runs Allowed = 4

    To get a game total, do I simply average these numbers (NYY RS + BOS RA) & (BOS RS + NYY RA)?

    Thanks for the help!

  2. #2
    Miz
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    without making any comment on how the model produced these numbers, I think your last step is reasonable

  3. #3
    Professor1215
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    Quote Originally Posted by Miz View Post
    without making any comment on how the model produced these numbers, I think your last step is reasonable
    Thank you for that. Those numbers were simply made up. The model I have gives outputs of 3.1-5.8 RPG for each team.

    I am a long way from any real results, but I want to feel good from a theoretical standpoint before I progress any further.

    So in this example, the game total would be 8, with a score of 4-4, or +100/-100, 50.0% no-vig ML.

  4. #4
    Stackzilla
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    Here's a system I was using with soccer it worked hitting at a high % but I had to stop because the juice varies per game so it ultimately was a failure but for baseball when the lines juice doesnt move you may see good outcomes.

    mean of all the home team's runs at home + league avg /2 = A
    mean of all home team's runs allows + league avg / 2 = B
    mean of all visitor team's runs away + league avg/ 2 = C
    mean of all visitor team's runs allows away + league avg /2 = D

    A+B+C+D / 2 = possible runs scored

    or instead use all season numbers instead of only home/away numbers
    i hope this helps , Pm me if you decide to try it out I'd like to see if it works, thanks BOL

  5. #5
    Waterstpub87
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    Quote Originally Posted by Stackzilla View Post
    Here's a system I was using with soccer it worked hitting at a high % but I had to stop because the juice varies per game so it ultimately was a failure but for baseball when the lines juice doesnt move you may see good outcomes.

    mean of all the home team's runs at home + league avg /2 = A
    mean of all home team's runs allows + league avg / 2 = B
    mean of all visitor team's runs away + league avg/ 2 = C
    mean of all visitor team's runs allows away + league avg /2 = D

    A+B+C+D / 2 = possible runs scored

    or instead use all season numbers instead of only home/away numbers
    i hope this helps , Pm me if you decide to try it out I'd like to see if it works, thanks BOL
    I'll save you the trouble, this isn't going to work.

  6. #6
    Stackzilla
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    yea i didnt think it would thanks there really isnt a secret system too many variables to consider best thing you can do is your research to come with the decision
    Last edited by Stackzilla; 06-09-16 at 11:27 PM.

  7. #7
    statnerds
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    this certainly will work because the starting pitchers are all equal

    why do all of this work when the market does it for you?

  8. #8
    evo34
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    Quote Originally Posted by Professor1215 View Post
    Thank you for that. Those numbers were simply made up. The model I have gives outputs of 3.1-5.8 RPG for each team.

    I am a long way from any real results, but I want to feel good from a theoretical standpoint before I progress any further.

    So in this example, the game total would be 8, with a score of 4-4, or +100/-100, 50.0% no-vig ML.
    A couple things:

    The median will always be less than the mean in baseball totals, esp. for low totals. So if you project 8 runs/game on average, the fair line will not be 8 +100 -- not even close.

    As you prob. know, half runs are worth very different amounts depending on the number.

    For totals with a heavy favorite, calculate the odds of the bottom of the ninth being played.

    This list is far from exhaustive, but some food for thought.

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