Podcasts about american soccer analysis

If you've spent anytime looking at various advanced analytics this year, you've probably noticed that the Seattle Sounders are looking an awful lot like a pressing team. Recently, Jamon Moore of American Soccer Analysis wrote about that. Jeremiah discusses what analytics are saying about the Sounders.Jamon Moore is a contributor on American Soccer Analysis. You can follow him on BlueSky here.Sponsor

If you've spent anytime looking at various advanced analytics this year, you've probably noticed that the Seattle Sounders are looking an awful lot like a pressing team. Recently, Jamon Moore of American Soccer Analysis wrote about that. Jeremiah discusses what analytics are saying about the Sounders.Jamon Moore is a contributor on American Soccer Analysis. You can follow him on BlueSky here.Sponsor

It's a mega-episode! We talk about the road US Open Cup win before we focus on that memorable 4-1 win against Leo Messi and Miami. We're looking ahead to two MLS games, first at Houston and then home against St. Louis. And don't skip over our conversation with Mike Imburgio, the lead consultant for American Soccer Analysis in their new relationship with Minnesota United.    Loon or Loonlet Trivia - 7:00 Quick Hits - 14:18 American Soccer Analysis' Mike Imburgio Interview - 22:22 Louisville City Recap - 1:03:25 Inter Miami Recap - 1:10:30 Houston Dynamo Preview - 1:40:35 St. Louis City Preview - 1:44:40 Loon Droppings - 1:49:02   ------------------   BlueSky: @loonybinpodcast.bsky.social Dan Elias (@oyvey2you.bsky.social) Matt Leaf (@mnloonlet.bsky.social) Email: theloonybinpod@gmail.com Website: theloonybinpod.com.  Insta: instagram.com/theloonybinpod  YouTube: youtube.com/@loonybinpodcast  

RECORDED BEFORE THE SIGNING OF BIANCA ST-GEORGES & JANNI THOMSEN Kieran returns to share his pitch to NWSL front offices about potential partnership opportunities with American Soccer Analysis! Then we dive into the ins and outs of the Utah Royals. They've brought in some very enticing players. Is it enough to make them playoff contenders? Will standouts like Ally Sentnor and Mandy McGlynn level up or regress? And how many ways can three people proncounce Jimmy Coenraets's last name?  Join our Patreon for only $6/month ($60/year) to get all of our exclusive bonus content! Art by Eli Elbogen Music by Devin Drobka's Bell Dance Songs

Kieran returns to share his pitch to NWSL front offices about some partnership opportunities with American Soccer Analysis! Then we dive into the ins and outs of the Utah Royals. They've brought in some very enticing players. Is it enough to make them playoff contenders? Will standouts like Ally Sentnor and Mandy McGlynn level up or regress? And how many ways can three people proncounce Jimmy Coenraets's last name? Join our Patreon for only $6/month ($60/year) to get all of our exclusive bonus content!Art by Eli ElbogenMusic by Devin Drobka's Bell Dance Songs

Things are rotten in the state of Missouri(or Kansas), and a predictably hard portion of the SKC schedule has produced two more frustrating losses making it 10 losses from the last 12 games.  But, look on the bright side, at least the San Jose Earthquakes exist.  While both of the games did end in losses to very good teams in the LA Galaxy and Real Salt Lake, there was actually some semblance of positivity due to the significantly improved chance creation over those games.  They also tried some alternate tactics and players that have at least in moments appeared to breathe some life into the attack.  The team still struggles to defend in transition, but at least they aren't as depressing to watch in possession.  Either that, or things are so bad that fans will find anything that appears the least bit positive to latch onto. American Soccer Analysis released their annual league survey addressing the analytics departments of every team in MLS, and unsurprisingly, Sporting KC was 5th from last in the league in the survey.  It is hard not to correlate their poor run of form lately with the limitations(perceived or valid) of their analytics practice, and continue to think that this club is falling further and further behind its rivals in multiple areas.  We will dive into the information from this survey, what it really means, and how it's not as simple as saying “do analytics” and things all of a sudden get better. Finally, a number of topics in Potpourri, including a rumored acquisition from Norway that now appears to be incorrect, some sad news regarding Felipe Hernandez, our update on the fun soccer in KC being played by the Current, and a quick look at both continental competitions happening this summer before we do a quick preview of Aidan Morris' farewell match vs. SKC. Music by The Spin Wires

It's a two-episode day on xOG as we roll along with NWSL Season Preview Week and continue to enjoy our new partnership with American Soccer Analysis! Eric and Evan dig into two teams undergoing massive change. The Chicago Red Stars have new owners, a new GM, and a new head coach, as they begin their long but hopeful rebuild. The Current hired Vlatko Andonovski as their head coach, and want to make a splash in their new stadium. Will any of it work for these two midwest stalwarts? Click here to check out ASA's written preview of today's teams! Art by Eli Elbogen Music by Devin Drobka's Bell Dance Songs

​​It's a two-episode day on xOG as we roll along with NWSL Season Preview Week and continue to enjoy our new partnership with American Soccer Analysis! Eric and Evan dig into two teams undergoing massive change. The Chicago Red Stars have new owners, a new GM, and a new head coach, as they begin their long but hopeful rebuild. The Current hired Vlatko Andonovski as their head coach, and want to make a splash in their new stadium. Will any of it work for these two midwest stalwarts?Click here to check out ASA's written preview of today's teams! Art by Eli ElbogenMusic by Devin Drobka's Bell Dance Songs

This is a really exciting day. In addition to launch NWSL Season Preview Week--an entire week of content previewing all 14 teams--we are thrilled to announce that we've partnered with American Soccer Analysis to be their women's soccer content partner! If you've already subscribed to us on our feed, no need to do anything; episodes will show up every Tuesday morning as before. If you're coming to us from following ASA Show, welcome! Eric and Evan love talking about the NWSL, the USWNT, and global women's football through the same lens as Kieran and the gang: data, tactics, and the nitty-gritty of the beautiful game. Hope you enjoy the show, and kick back as Kieran joins us for our first two previews, of the Utah Royals and Bay FC.  Click here to check out ASA's written preview of today's teams!  Art by Eli Elbogen Music by Devin Drobka's Bell Dance Songs

This is a really exciting day. In addition to launching NWSL Season Preview Week--an entire week of content previewing all 14 teams--we are thrilled to announce that we've partnered with American Soccer Analysis to be their women's soccer content partner! If you've already subscribed to us on our feed, no need to do anything; episodes will show up every Tuesday morning as before. If you're coming to us from following ASA Show, welcome! Eric and Evan love talking about the NWSL, the USWNT, and global women's football through the same lens as Kieran and the gang: data, tactics, and the nitty-gritty of the beautiful game. Hope you enjoy the show, and kick back as Kieran joins us for our first two previews: the Utah Royals and Bay FC!  Click here to check out ASA's written preview of today's teams! Art by Eli Elbogen Music by Devin Drobka's Bell Dance Songs

This is a free preview of a paid episode. To hear more, visit www.cannonstats.comEver wondered what stats mean and when the right time was to use them was? Well, this is the podcast/video for you!In this bonus episode, I am joined by Clive Palmer to talk about advanced stats, and how they help us to understand the game. Learn how the stats work, what the limitations are, and what context is needed for the stats.Below is the very detailed notes and explanations I wrote to prepare for this podcast.At the very bottom for premium subscribers is the video recording that we made as well. (if you subscribe to the Arsenal Vision Podcast Patreon this should also be available to you on that channel)Expected Goals (xG):This is probably the advanced stat one that people are most familiar with but it is probably still a bit understood.I think the resistance to the idea behind rating chances has broken down. We all naturally have an intuitive sense of when a chance is high or low-quality. For example the Gabriel Jesus goal against Manchester United. We KNOW this is a clear chance and that there is a high probability of scoring here.But what is the estimate of scoring here?For this shot in my expected goals model, it is rated as 67% chance of being converted, which is going to be on the higher side for what chances will end up being rated. The largest factors for a shot's rating is the distance from goal, the angle of the goal for the player to aim at, and if it was taken with feet, head or other.The information for this comes from event data that gives the time and location of every on-ball action on the field. From this, we can infer information about the chance and use that to compare it to how those factors of applied to shots with similar characteristics.This shot is from a fast break situation, which helps tell that the defense is not going to be set and it a more dangerous situation. The speed of this move is 7.3 yards per second making this a very direct attack with is another positive indicator that the defense has been unsuccessful in slowing the attack down.Jesus completes a dribble before he shoots this is a major positive for his chance as it is a clear indicator that he has opened up space for a shot.This is also given the “big chance” indicator by Opta and that is a bit of a cheat that helps that this is not pressured and a one-on-one.One of the major limits of doing this with the regular event data is that the model is blind to where the other players are and information needs to be inferred from other characteristics. We see this when he takes the shot:The model from the event data only knows this and has to guess as to everything else from the proceeding events and the characteristics of the shot:This is an obvious shortcoming and why when you see the xG for a shot, especially from ones that don't have tracking elements (for example Statsbomb uses freeze frames to also show where all the players are in the frame for the events that they capture. The newer Opta data also uses something similar to get around this) it should come with pretty large error bars for the estimate of the “true” probability for the shot. With this shot we can make some decent assumptions, it's a direct/fast break so minimal defenders back. Jesus made a dribble before he shot which probably means he isn't under pressure when he shoots but it is still a bit of guesswork on to just how open it might be.When to Use xGYou will see xG used in a number of different places and ways. One of the more popular is after a match; I post a couple of different illustrations of the xG for a match that I think are helpful for describing the game.The first is the xG shot map, which plots all of the shots and goals for each team and the size of the dot corresponds to the xG value. This gives a nice picture of where the shots took place and how dangerous those shots were. There are a number of different ways that a team can accumulate the different xG values and seeing the shots helps provide more information and context for the number.The next popular type is the xG race chart.This shows the timing and value of the different shots that each team took. It can help illustrate a number of different things that might not be obvious from a shot chart alone. First is that game state (the score, and number of players on the field) matters and will change the strategy for teams. Second, it also helps describe and get a feel for how the game has gone from the total chance creation.With my running xG charts I also add in error bars, which is the shaded area to help illustrate the uncertainty that comes with each shot that we identified earlier.Single match xG is still better thought of as a descriptive tool, it tells you what happened in a match. It can help tell you if a team was better or if perhaps a win was lucky but that is just part of the picture (we will have more stats on this kind of thing later). A single match can be pretty random with lots of small things affecting if a clear-cut chance happens or not. Over more matches, the signal becomes stronger and the value of xG starts to shine through.Using xG in the seasonOne of the things that xG is good at, is that it is a better predictor of future goals scored/allowed for a team than other measures, especially in smaller sample sizes. When you get into the 8-12 match range the advantage for xG is at its highest over goals in predictive power, with goals closing the to be nearly as good as xG as the season progresses further.This is especially helpful when there is a big deviation from expected and actual production during the period in question, as the better bet is that future production will be closer to xG than goals. Even better however is using a combination of the two with weights of 70/30 because goals also have important information about a team. This is why you will see me use charts like this in the season.Goals provide information, they are the main component of what a team is trying to do in a game towards winning pointsOne other thing is that aggregation can hide information with outlier games having an outsized effect on things. For situations like this I have another chart that I think is a helpful wau to look at a team. This chart plots a team's xG for and against over the course of the season. For Arsenal last season they were consistently better than their opponents with just a handful of times where they were outplayed and one really big outlier performance. This is another one that you can also use the weighted xG and Goals as well to help get the story of the season for the team. Post Shot Expected Goals/Goalkeeping MetricsPost-Shot xG (PSxG) or xG On Target (xGOT) are models that look to measure the xG value of a shot but instead of stopping at the moment that shot is taken it also looks at where the shot is in relation to the frame of the goal. For a post-shot xG model, the biggest factors are still the distance and angle of the shot, but also now also the z and y coordinates of where it is estimated to cross the goal line.PSxG models do not take into account the positioning of the keeper (by design because better positioning is a skill that will help a keeper save more than expected) and some have information about how hard the bull has been struck but that is not available in the more simple event data.When to Use PSxGPost-shot xG is also a noisy stat where finding the signal of how good a goalkeeper is at keeping out shots or a player is at placing their shots is harder to estimate. Season to season a goalkeeper's goals prevented compared to expected (PSxG- Actual Goal) is in the +/- 0.2 goals prevented per 90 range, that is a BIG variation from season to season.If for example, you have Aaron Ramsdale who for his career is roughly at 99% for goals saved compared to average, in a single season it wouldn't be out of the ordinary to see that fluctuate to between 115% and 75% and that is what he has done for his career!I have not seen the same level of estimates of when exactly these type of stats become more reliable with confidence intervals that are not huge yet like what has been done with finishing where you can start seeing a signal at the 75+ shots range but realistically a few hundred shots to have confidence about a player's finishing skill.My intuition is that it is probably in the 150+ to start seeing a signal and in the 300 or more range to get a more reliable idea but I have not had the time to put this to the test. A project for another day. So given the above information, it does feel like goalkeeper stats are ones that should come with pretty high error bars around them, especially for a single shot, a single match, or even a season.They can be thought of I think as at best rough estimates but beyond that my confidence with them comes with large caveats. Expected Threat (xT)/Goal Probability Added(GPA)This was a popular question when I asked what people wanted to learn about. Expected Threat was created by Karun Singh (now employed by Arsenal) and has become one of the more popular ways of calculating on-ball actions. If you are interested in the nitty-gritty of how it works he has a nice write-up on the methodology on his blog.The shorter explanation is that the pitch is laid out into zones and a player is credited with the difference in value between those zones as it is moved through passing and carrying.I have been doing something similar for a while and my first stab at something like this going back to my 2017 Passing Progression Value Added and have evolved my work into what I call Goal Probability Added.My model also works off of zones and the value of each is trained from the xG created in a possession after the ball has been in that zone, along with the probability that the other team will create xG from you having possession in that zone. Giving you a pitch that looks something like this:Most of the field is not very valuable, with pretty minor increases until you get within 25 or so yards of goal. You will also see that possession in your own box is negative meaning the other team is more likely to score when the ball is there than you are.My model also takes into account the failure of an action and how that changes both teams' chances of scoring. I took a lot of inspiration from the work done on by American Soccer Analysis and their Goals Added model for direction on certain questions. My model also breaks things down into similar parts, passing, receiving, carrying, dribbling, and shooting.I have started breaking down defensive actions as well for how that changes the opposing team's actions but don't publish that regularly with match reports.With this you can create fun sequence-type charts that show the change in goal probability as the ball moves around the pitch. This is the first goal in Arsenal's 3-1 win against Manchester United scored by Martin Odegaard.Most of the buildup play is low value because it is still far away from goal. The play starts to become more valuable as it gets into the final third. From there the pass into Eddie Nketiah in the half-space adds 3% to the chance of scoring, his pass into the box to Gabriel Martinelli adds 8% and then his cross adds 20% with the very good finish adding another 5%.Why use xT or GPA?

Here at Backheeled, we like to talk about MLS. We also like to use stats. On this episode, Joe Lowery is joined by Eliot McKinley, a data scientist and contributor to American Soccer Analysis, to do both of those things. Eliot recently published the “2023 MLS Analytics Survey”, which you can find here. Eliot helps provide some context to the survey and runs through the most interesting responses. Follow him on Twitter!If you enjoyed this episode, leave us a rating and subscribe to Backheeled.com for more American soccer coverage! Hosted on Acast. See acast.com/privacy for more information.

In part 2 of our series on USMNT interim head coach Anthony Hudson, we look at his time as Head Coach of the Colorado Rapids. To help me do that, I've invited Mark Asher Goodman to the show. Mark is a writer for Pittsburgh Soccer Now. He also co-hosts a podcast on the Colorado Rapids called 'Holding the High Line with Rabbi and Red.' He has written in the past for the Washington Post, Denver Post, The Athletic, and American Soccer Analysis. You can find him on Twitter at @soccer_rabbi.

Have you watched the series « The English Game », on Netflix? Well, I think you should — it’s a fascinating dive into how football went from an aristocratic to a popular sport in the late 19th century England. Today it is so popular that it became a valuable business to do statistics on the game and its players! To talk about that, I invited Kevin Minkus on the show — he’s a data scientist and soccer fan living in Philadelphia. Kevin’s currently working at Monetate on ecommerce problems, and prior to Monetate he worked on property and casualty insurance pricing. He spends a lot of his spare time working on problems in football analytics and is a contributor at American Soccer Analysis, a website and podcast dedicated to… football made or played in the US (or “soccer”, as they say over there). Kevin is responsible for some of their data management and devops, and he recently wrote a guide to football analytics for the Major League Soccer’s website, entitled « Soccer Analytics 101 ». To be honest, I had a great time talking for one hour about two of my passions — football and stats! Soooo, maybe 2020 isn’t that bad after all… Ow, and beyond football, Kevin is also into the digital humanities, web development, 3D animation, machine learning, and… the bassoon! Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ ! Links from the show: Kevin on Twitter: https://twitter.com/kevinminkus Kevin on GitHub: https://github.com/kcm30 Soccer Analytics 101: https://www.mlssoccer.com/soccer-analytics-guide/2020/soccer-analytics-101 American Soccer Analysis: https://www.americansocceranalysis.com/ --- Send in a voice message: https://anchor.fm/learn-bayes-stats/message

What are expected goals and goals added? John Muller from The Outfield and American Soccer Analysis explains that and much more about the analytics that are desired by fans and tools that clubs are using to gain an edge.

Joe Lowery is joined by John Muller of American Soccer Analysis to talk about goals added, the new soccer metric that captures the effect of every touch on the ball on that team's chances of scoring or conceding and might change the way we measure soccer.John says goals added is a soccer metric that "tells us what matters" on the field.See more of John's work at AmericanSoccerAnalysis.comSPONSORS!Go to GetRoman.com/TSS for a free online visit and free two-day shippingUse code SOCCER for 25% off at SundayScaries.com 

Joe Lowery is joined by John Muller of American Soccer Analysis to talk about goals added, the new soccer metric that captures the effect of every touch on the ball on that team's chances of scoring or conceding and might change the way we measure soccer. John says goals added is a soccer metric that "tells us what matters" on the field. See more of John's work at AmericanSoccerAnalysis.com SPONSORS! Go to GetRoman.com/TSS for a free online visit and free two-day shipping Use code SOCCER for 25% off at SundayScaries.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Why has soccer been slow to buy into analytics? What are some advanced metrics that can help analyze the game? How is MLS doing on the date collection and analysis front?Joe Lowery talks to Eliot McKinley of American Soccer Analysis to get answers to these questions.Because data is good, here are a few helpful timestamps:4:35 — Expected Goals12:15 — Expected Assists15:10 — Post-shot (or Keeper) xG18:10 — Expected Passing23:30 — How is MLS doing with data collection and analysis?27:00 — Tracking data and how it opens up analytics30:40 — Which MLS teams are most committed to data analysis? (Spoiler: they played in three of the last four MLS Cups ... )     

We start up top at striker and work our way back to goalkeeper, giving our preferred rosters. And then we talk about Berhalter's likely roster, which is not entirely the same. Here's that American Soccer Analysis piece we talked about: https://www.americansocceranalysis.com/home/2019/8/14/with-or-without-you-wowy-a-plus-minus-alternative-for-soccer

The one and only Tiotal Football steps out of the shadows and much like Mel Gibson’s The Patriot, comes from nowhere to deliver hard hitting action right to your head and ears. J. Sam and Tiotal take a look at all things Atlanta United from an analytical perspective to prepare you for the year that might be in ATLUTD. Also some discussion on 2002 Michael Vick that we promise is relevant. Sam actually got to pick the closing music this time too. Sam doesn’t want to say it’s the best episdoe of FSF ever, but it is one of the episdoes. Sam is also happy to announce that whomever @’s the Five Stripe Final twitter account with a picture of Clemson Wide Receiver Hunter Renfrow holding a bag of grapes will win absolutely nothing, but the picture brightens my day and I imagine Joe will be confused by it because it’s not baseball. Go follow @TiotalFootball on twitter and check out the excellent work of American Soccer Analysis at AmericanSoccerAnalysis.com for an even more thorough look at the year in numbers for Atlanta United Football Club in Atlanta, Georgia a soccer/football team that plays in the stadium that the Atlanta Falcons do Josef Martinez, Miguel Almiron, Frank de Boer How to use search engine optimization to become the number one #ATLUTD podcast on iTunes Learn more about your ad choices. Visit megaphone.fm/adchoices

The one and only Tiotal Football steps out of the shadows and much like Mel Gibson’s The Patriot, comes from nowhere to deliver hard hitting action right to your head and ears. J. Sam and Tiotal take a look at all things Atlanta United from an analytical perspective to prepare you for the year that might be in ATLUTD. Also some discussion on 2002 Michael Vick that we promise is relevant. Sam actually got to pick the closing music this time too. Sam doesn’t want to say it’s the best episdoe of FSF ever, but it is one of the episdoes. Sam is also happy to announce that whomever @’s the Five Stripe Final twitter account with a picture of Clemson Wide Receiver Hunter Renfrow holding a bag of grapes will win absolutely nothing, but the picture brightens my day and I imagine Joe will be confused by it because it’s not baseball. Go follow @TiotalFootball on twitter and check out the excellent work of American Soccer Analysis at AmericanSoccerAnalysis.com for an even more thorough look at the year in numbers for Atlanta United Football Club in Atlanta, Georgia a soccer/football team that plays in the stadium that the Atlanta Falcons do Josef Martinez, Miguel Almiron, Frank de Boer How to use search engine optimization to become the number one #ATLUTD podcast on iTunes Learn more about your ad choices. Visit megaphone.fm/adchoices

Philadelphia Union are back in the MLS Cup Playoffs for the second time in three seasons. This year's opponent? NYCFC. On a special Playoff Pitchside Pod, we bring in MLSSoccer.com's Bobby Warshaw to discuss what the Union will need to do to get a win and how players prepare for and think about one-and-done playoff games. We also take a look at how Philly got to the playoffs and make a deep, deep dive into what they need to do to avenge last Sunday's loss to NYCFC. It's playoff time, Philly! And the boo-tiful game is here to make your Halloween a special one. Remember to send questions and comments to pitchsidepodcast@philadelphiaunion.com or tweet @adamtcann to connect with us.

People liked our talk about stats last week so much that we had to do another one. This week: we brought on Jamon Moore of American Soccer Analysis, and one of the minds behind Expected Possession Goals (xPG) to break down the new cutting edge of soccer analysis. Om Arvind joins hosts Gabe Lezra and Evan Mateer -- and they break down how analytics can help make the experience of wathcing soccer more fun, and what the new era of analytics means for the casual fan. Jamon walks us through the intricacies of xPG (and some of the other stats he and his colleagues at ASA are working on), and helps explain how it allows fans and pundits to get a deeper understanding of how teams play, and how individuals within the team play. They discuss how xPG can help analysts visualize and quantify the style a team plays--and whether the style they want to play lines up with how they actually play. Then, Gabe, Om and Evan talk about ex-Real Madrid president Ramón Calderón having an extremely normal one, and break down Gabe's article about Real Madrid's nonexistant women's team (and the super regular response to it). 

Gabe Lezra and his Managing Madrid Podcast co-host (and worst account on football twitter-nominee) Om Arvind talk about the Financial Times' article about Juventus' Cristiano Ronaldo gamble (from a financial angle). Juve is banking on a massive increase not just in their own publicity but in Serie A's publicity--but how smart is that gamble? Is the "Cristiano Ronaldo effect" as pronounced as they think? They also talk about the ongoing soccer analytics revolution and the fact that some of the friving forces behind the movement are American. Big shoutout to American Soccer Analysis, and their fantastic article on negative and positive Expected Possession Goals (xPG): https://www.americansocceranalysis.com/home/2018/8/28/expected-possession-goals-part-1 Also, Gabe wrote about the coming revolution back in like 2012 for The Atlantic, so read that, too: https://www.theatlantic.com/technology/archive/2012/08/make-way-for-the-soccer-geeks/261634/ AND you know we had to do it! Checkin IN on our main man Registability and football Twitter generally. As always we're #TeamAdam.  It's Evan's 30th birthday so he's having a third-life crisis and jumping out of a plane (with a parachute), so happy birthday buddy.

On this episode of the Union Pitchside Podcast, we take a deep dive into innovative ideas in soccer. Our big interview is with Harrison Crow of AmericanSoccerAnalysis.com. Harrison and his colleagues have been trailblazers in statistical analysis of Major League Soccer, and he tells us about how Ale Bedoya was a surprise pick for his personal All-Star team. We also get into why it's difficult to analyze defenders and more interesting Union numbers. Our opening and closing segments try to address listener questions about how the Union identify talent. Technical Director Chris Albright talks about utilizing a variety of mechanisms to put together a competitive first team, then the academy's Director of Talent Identification, Jon Scheer, tells us about the process of finding top young players to continually improve already strong Union academy program. It's all here in the latest Union Pitchside Pod!

Episode 831 Unlike the top European leagues, where a few wealthy clubs enter each season virtually assured of finishing atop their respective country’s tables, Major League Soccer offers considerable parity. On this edition of FanGraphs Audio, Harrison Crow of American Soccer Analysis addresses the implications of that parity, while also discussing certain notable concepts in […]

Harrison Crow, of American Soccer Analysis, joins us to preview the MLS season. We discuss which teams could possibly overachieve, and talk about which sides might be not quite as advertised. Who are our picks for the top of the table, and who's going to win it all? If you need to look smart in front of your soccer-loving friends, this is the pod to listen to.

Casey is joined by Drew Olsen, one of the owners of American Soccer Analysis, and former political big shot. Drew…

Casey gets his long-awaited chance to talk soccer on the podcast. He’s joined in the John Jaso Memorial Studio by…

You may not realize this, but Major League Soccer is on the verge of a labor dispute. Drew Olsen, one of the writers at American Soccer Analysis, recently wrote a post comparing the income disparity between top paid players and league-minimum paid players in several major sports. Drew is a really smart guy, and his conversation […] The post 43: Dollars and Sense with Drew Olsen (@DrewJOlsen) appeared first on North and South of Royal Brougham.

Harrison, in usual fashion, talks to us in his goofy form. He was worried about his audio quality, so make sure to ridicule him about it until he buys an iPhone. We talked about a really cool project he did at American Soccer Analysis, and the impact of Deandre Yedlin’s eventual departure. Follow Harrison on […] The post 34: Hercules, Hercules… and Deandre Yedlin, with @Harrison_Crow appeared first on North and South of Royal Brougham.