Fair. I guess I mean Tolkin plays the 6 sometimes in his career, paredes plays LW sometimes. Paredes never plays the 6 and Tolkin basically never plays as LW. That is because they have some different strengths IMO. They will be in a lot of similar situations playing the same position often in that they both have played LWB/LB because both of their strenghts can thrive in that role. They are obviously fairly similar so I am being a bit semantic differentiating them within the context of how they play LWB. I think IndividualEleven answered in a way I agree with.
Also compared to every other midfielder who's kicked a ball in MLS since 2018. He's moving like a tremendous machine, etc etc pic.twitter.com/9sn3znJAfx— Paul Harvey (@Thundering165) May 11, 2022
Keaton Parks is from Dallas, and our quota is full. That's the only explanation. [Keaton has been living in the shadow of those FCD academy guys his entire life.]
I'm sorry if this is just me being lazy and dumb , but what are these charts trying to tell me? what is the Y axis? ELO?
That is pretty specific. What about yesterday or two days ago? Sorry for the smartass remark. That's known as a dad joke and since I am a dad I can make a fool of myself....that is an inalienable right. I appreciate your ELO reference. Haven't thought about them for a while.
I was being sarcastic too. I've seen Parks play really well. I've just seen him make a lot of mental errors which is why I wouldn't trust him at nat level.
I have no idea how exactly the ELO process is applied to individuals, but the overall metric is based on G+. Not quite sure if this is the change is G+, or why we just don't have an absolute chart.
@Thundering165 makes the charts. always remember that the stats based on Opta data are on the ball stats. Roldan had better G+ as a DM and is an off the ball monster too. Anyway you slice it Roldan is the answer to best American 6 or 8 in MLS and probably second best at 10 too.
The Elo calculation here is run in two directions. Traditional Elo is between two players, as in chess. More recently it’s been used for teams, like in 538s rankings. This is an asymmetric Elo that on one side has players (at specific positions) and on the other is teams vs specific positions. The math behind it compares the two Elo scores and puts out a specific G+ bar to clear for the player - if their performance clears that bar then their Elo ranking improves, and if they do not it decreases. The model now also takes into account home and away as that is a major factor in MLS. As players increase in Elo, the expectations also increase; as they decrease the expectations go down. Here’s a little flow chart: The advantage of this particular measure vs a simple G+ score is that it is more sensitive to recent form, as well as opponent effects and home/away effects. In my opinion it’s a fantastic measure of form, and captures the differences between positions for really flexible players too. Roldan’s chart for example is really cool due to how many positions he plays. The team side is also great because it showcases teams strengths and weaknesses in defending certain positions. Red Bulls really pop here, they are fantastic at limiting their opponents regardless of position. I don't have a great public vizualization for team side yet but I will publish one soon. The disadvantage is that it goes a step away from G+ and less meaningful at a glance for knowing what to expect from specific players. It is true that G+ is at its core an on ball metric - it focuses on the increase or decrease to scoring probability by specific player actions (including mistakes). If you look in depth though it tends to find the players who really do perform the best, suggesting it measures something real and important. The full interactive chart can be found here: https://public.tableau.com/views/ML...en-US&:display_count=n&:origin=viz_share_link That can be a little overwhelming so if you prefer you can look at individual teams here: https://public.tableau.com/views/ML...en-US&:display_count=n&:origin=viz_share_link
I know your focus is on player ELOs but I'm curious what are the team ELOs are vs positions? IMO that's pretty interesting too
Yes, this is an example of one chart for Columbus right now: Interactive tables for each team can be found here: https://public.tableau.com/app/prof...STeamvsPositionElo/Teamssince2022?publish=yes
Đorđe Mihailović taps it in to open the scoring for #CFMTLHis 6th goal of the season is set up by Romell Quioto. pic.twitter.com/yKlba9Yofz— Major League Soccer (@MLS) May 14, 2022
Nashville starting with an all American XI line up vs Houston Dynamo. It's the first time I've seen this in MLS although it might have been done before.
One of the best counter attack goals you'll see in MLS.What a ball from Cade.Classy finish from Jebo. pic.twitter.com/YpL6VpNmnn— San Jose Earthquakes (@SJEarthquakes) May 15, 2022
Great game for Cowell. Seems the game is slowing down for him in the final third going off the highlights.
.@FCDallas made this look easy. 👌@Jesusfcd27 scores his 8th goal to lead the league in scoring. pic.twitter.com/jPZOGahm5y— Major League Soccer (@MLS) May 15, 2022
So dangerous. @PaulArriola makes it 2-0 and #DTID are rolling. pic.twitter.com/cHTbiD7ke9— Major League Soccer (@MLS) May 15, 2022
ANOTHER ONE FOR @Jesusfcd27ANOTHER ONE FOR @FCDallasIt's 3-0 in 23 minutes in LA... pic.twitter.com/cGT3wp8jcN— Major League Soccer (@MLS) May 15, 2022
4 of the top 6 leading scorers are American, including the leading goal scorer. Top 2 G+A are American. Oldest of them is 25.