I just wanted to share a beta project using 'crowdscouting' and elo ratings.
The premise is people pick between 2 players and the project uses the elo formula to aggregate their opinion/'statistical fact' in a mathematically elegant way creating a time-series of each players 'rating.' If enough people use it, it would hopefully bake in many different factors: recent performance, statistical performance (fancy and otherwise), team circumstance, eye-ball test, etc.
In a few algorithms I should be about to reward users that pick guys ahead of the curve by increasing their influence. (ie. you championed McDavid before he was the best in the league) - but I think the fun will be in seeing how dynamic/useful the output data. It would produce career arcs, show player level consistency, etc..
The premise is people pick between 2 players and the project uses the elo formula to aggregate their opinion/'statistical fact' in a mathematically elegant way creating a time-series of each players 'rating.' If enough people use it, it would hopefully bake in many different factors: recent performance, statistical performance (fancy and otherwise), team circumstance, eye-ball test, etc.
In a few algorithms I should be about to reward users that pick guys ahead of the curve by increasing their influence. (ie. you championed McDavid before he was the best in the league) - but I think the fun will be in seeing how dynamic/useful the output data. It would produce career arcs, show player level consistency, etc..