Media Wingels' LGHL Player Ratings: Trade Deadline Edition

WingelsDGC · Nov 20, 2019

Hi, haven't seen me in awhile.

Here's my player ratings in a more in depth form just in time for the trade deadline.

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.

Note: Some players may not have career stats due to not playing their current position since s29, or they changed their username recently. Some players ratings may be slightly off due to small games played (recent call ups).

Washington Capitals

Carolina Hurricanes

New Jersey Devils

Philadelphia Flyers

Pittsburgh Penguins

Columbus Blue Jackets

New York Islanders

Buffalo Sabres

New York Rangers

Detroit Red Wings

Tampa Bay Lightning

Toronto Maple Leafs

Boston Bruins

Florida Panthers

Montreal Canadians

Ottawa Senators

Los Angeles Kings

Anaheim Ducks

Seattle Thunderbirds

San Jose Sharks

Vegas Golden Knights

Calgary Flames

Vancouver Canucks

Edmonton Oilers

St Louis Blues

Winnipeg Jets

Arizona Coyotes

Colorado Avalanche

Dallas Stars

Nashville Predators

Chicago Blackhawks

Minnesota Wild

And for good measure, here’s the full team breakdown:

Thanks for reading! I've been doing lot's of video content, so if you wanna see more from me check out my channel: https://www.youtube.com/channel/UCaWusG2UquLU9HJbhagtwgw

Here's some of my other media pieces:
Wingels' Top 32 Draft Prospects S33: https://www.leaguegaming.com/forums/index.php?threads/wingels-top-32-draft-prospects.296991/
How the S31 Islanders changed 4 teams futures: https://www.leaguegaming.com/forums...rs-changed-4-teams-futures-with-one-deal.426/