HeadLine Wingels' End of the Season Player Ratings S34 NHL

Oh boy.

  1. WingelsDGC

    WingelsDGC Well-Known Member

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    Wingels' End of the Season Player Ratings S34 NHL - Oh boy..

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    Hi, I'm back for this stuff.


    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. A comparison to the real life NHL would be WAR or GAR.


    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 distributed in a 100% scale, all in percentages, which will remain hidden as I am still a manager, and would like to keep that a secret for now.


    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, OZE 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 NHL F: SF-OZE+GS+OEE+TEAMPTS%+PTS/GM+Shots/GM-G-T/GM+GF/GM-GA/GM x NHL F coefficient


    On top of the rating, due to the increase in difficulty in the upper leagues: ratings will be increased to balance out.


    These Ratings only cover seasons S29-S33, and ESHL S9-S10, so if your team is made of former NHL 15 Lords, it may not show as positive. The reason it’s only this recent is the competition was much different then compared to now, and as players come and go from the league, we want to maintain that everyone is around the equal amount of data to process. Some vets may have a 70 point season from S22, but only had 35 points in S33, which wouldn’t reflect on how they are currently. As well, if someone changed their username recently, it may not have their full stats, and may not have any stats for that name at all.


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  2. UniqueSniper135

    UniqueSniper135 THESE YOTES

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