HeadLine Wingels' ELO Power Rankings Week 4

Lets see how this goes

  1. WingelsDGC

    WingelsDGC CHL BOG | LG Media

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    Wingels' ELO Power Rankings Week 4 - Lets see how this goes.

    [​IMG]

    Welcome to my ELO Ratings/Power Rankings.


    Here’s how it works:

    This rating system is similar to an ELO system that you may find in games like Chess and online games that have a matchmaking system ie; Overwatch and League of Legends. The system calculates a rating based off chosen stats that are weighed based on importance for each position.


    These stats are, in order of priority for forwards:

    • Scoring Factor (SF) which is the percentage of goals that a player contributes to when on the ice.
    • Points per Game

    • Goals For per Game (GF/GM)

    • Time on Attack For (TOAF)

    • Winning Percentage, with OTL being half a win.

    • Goals Against per Game (GA/GM)

    • Time on Attack Against (TOAA)

    • LARGE JUMP

    • Giveaways - Takeaways per game, the lower the number the better

    • Shots per Game

    • Goal Support
    For defenders:

    • Goals Against per Game (GA/GM)

    • Time on Attack Against (TOAA)

    • Winning Percentage, with OTL being half a win.
    • Scoring Factor (SF) which is the percentage of goals that a player contributes to when on the ice.

    • Goals For per Game (GF/GM)

    • Time on Attack For (TOAF)
    • Points per Game

    • LARGE JUMP

    • Giveaways - Takeaways per game, the lower the number the better

    • Shots per Game

    • Goal Support


    For goalies, stats included will be:

    • Win%

    • Save %

    • Goals Against Average (GAA)

    • Shots against per game

    The "average" player will have a rating of 1000. Above that is better than average while lower will be below average. Each number is calculated by determining how good a player is in a stat compared to the median, which the middle value, which represents the "average" player in a stat. Players that are better than the median will have a higher number after calculations, while it will be lower if below average.

    Example:


    The median for Points per Game is about 1.7 for forwards, so if a player has a points per game of 2.0, then the player is in theory, performing better than the average forward, and thus will have a higher rating.


    Each stat is then put into a formula to find the total rating. Most stats require the player to be higher than the median to be considered a positive factor, but G-T/GM, TOAA and GA/GM require the player to be below the median to be considered positive, as the lower number in these stats the better. There is also a coefficient to raise the rating to a 1000 average ELO system, which is different for each league/position.


    Example Calculation for a CHL F: SF+GS+TOAF+TEAMPTS%+PTS/GM+Shots/GM-G-T/GM+GF/GM-GA/GM-TOAA x CHL F coefficient


    Upper leagues also get a multiplier due to an increase in overall skill, which is as follows:

    AHL: +25%

    NHL: +35%

    FAQ:

    1. Why is my team lower in this than the actual standings?

    - It could be because some teams may be underperforming, or your team just hasn’t had the statistical success compared to others ie; TOA, Shots and goal differential. It also takes into account your S32 statistics in a 45% S32, 55% S33 scale, in order to balance out major over and under performers compared to a full season of play. Could just mean you aren’t a stats team I guess, who knows what I know ¯\_(ツ)_/¯


    2. How long does this take you to do?

    - About 2-3 hours for initial setup, but once I have everything setup, about 90 mins or so.


    3. Why do you hate my team?

    - Because I have emotional issues.


    Orange= Atlantic Division

    Red= Metropolitan Division

    Blue= Pacific Division

    Green= Central Division

    [​IMG]


    Thanks for reading! Let me know if this should continue/be used in other ways.​

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  2. TabarNUCK

    TabarNUCK EPHENPEE

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  3. Fxwst

    Fxwst Well-Known Member

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  4. Fxwst

    Fxwst Well-Known Member

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