1. 03-01-10 09:34 AM #1
    SpiderMonkey
    Monkeys throw poop.
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    Homegrown Power Rankings

    Does anyone here produce their own power rankings that they use to find an edge vs. spread ... if you do and want to compare #'s - please PM me. Thnx.
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  2. 03-01-10 09:16 PM #2
    Wrecktangle
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    Spider, we went thru this and then you went "tout."

    Did you forget my e-mail?
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  3. 04-03-10 12:10 PM #3
    Spektre
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    Quote Originally Posted by SpiderMonkey View Post
    Does anyone here produce their own power rankings that they use to find an edge vs. spread ... if you do and want to compare #'s - please PM me. Thnx.
    I do but I run into an issue of converting a ranking into anything useful for betting.

    Since I cannot translate my rankings into a spread or a moneyline, I limit my plays to those games that my selected favorite differs from the moneyline and then play the moneyline.

    Good results on a limited sample size.

    Spektre
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  4. 04-03-10 12:27 PM #4
    LT Profits
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    Quote Originally Posted by Spektre View Post
    I limit my plays to those games that my selected favorite differs from the moneyline and then play the moneyline.
    Like West Virginia for me today. My line is West Virginia -1.5.
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  5. 04-03-10 04:13 PM #5
    IrishTim
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    Quote Originally Posted by Spektre View Post
    I do but I run into an issue of converting a ranking into anything useful for betting.

    Since I cannot translate my rankings into a spread or a moneyline, I limit my plays to those games that my selected favorite differs from the moneyline and then play the moneyline.

    Good results on a limited sample size.

    Spektre
    Have you looked into creating rankings that can use the log5 formula?
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  6. 04-03-10 05:11 PM #6
    Spektre
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    Quote Originally Posted by IrishTim View Post
    Have you looked into creating rankings that can use the log5 formula?
    I could look into it. The method of creating rankings I use is/was based on simply ranking teams from best to worst in an objective manner. It does a very good job at picking winners, however I need to do thorough backtesting (once I find good historical spread and moneyline data) to see how it does at picking vs. spread or with moneylines. By best estimate, probably not very good.

    There is no way (using this model) to translate HOW much better a 14th ranked team is vs a 42nd, or a 3 vs a 4.

    For fun here is my Top 25 in NCAA Men's basketball as of RIGHT NOW.

    1) DUKE 315
    2) WEST VIRGINIA 314
    3) KENTUCKY 314
    4) KANSAS 305
    5) SYRACUSE 276
    6) PURDUE 247
    7) KANSAS STATE 240
    8) BUTLER 235
    9) TENNESSEE 223
    10) OHIO STATE 220
    11) NORTHERN IOWA 218
    12) BAYLOR 217
    13) MICHIGAN STATE 217
    14) GEORGETOWN 208
    15) TEMPLE 207
    16) VILLANOVA 205
    17) NEW MEXICO 205
    18) PITTSBURGH 202
    19) WISCONSIN 190
    20) XAVIER 182
    21) WASHINGTON 179
    22) ST MARYS-CA 175
    23) MARYLAND 174
    24) VANDERBILT 174
    25) B-Y-U 173

    Spektre
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