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</html><thumbnail_url>https://mrktinsights.com/wp-content/uploads/2020/06/Screenshot-2020-06-06-at-12.12.10.png</thumbnail_url><thumbnail_width>620</thumbnail_width><thumbnail_height>322</thumbnail_height><description>2020 Sounders FC Analytics Conference #SSFCAnalytics2020 By Daniel Krueger Check him out on: Twitter, Github, Linkedin Day 1 Gregg Berhalter &#x2013; Head Coach, US Men&#x2019;s National Team @USMNT What are the key ingredients of a high performing relationship between the coaching staff and the analytics department? People, communication, trust, feedback, collaboration and respect Player scouting/journey Player arrival All materials for each individual player into dropbox Clubs send all relevant information from last 4 weeks heading into camp Player load monitored during and RPE after training Understanding chronic load and travel Training preparation All previous training sessions live in an archive Dropbox collaboration Full session library&nbsp; Activity library Training session load plan &#x2013; high performance team Reducing training risk Training Filmed from 2 angles Live coding Activity reps Principles of play Effectiveness of training In camp monitoring In camp training load reports in comparison to club load reports How is the player&#x2019;s body coping with the demands of the training session Daily screening process Player surveying Match day Opponent scouting Wide angle sharing network Opta data integration Tactical and individual output reports Top level trend reports In match Live tactical stream to bench Post-match&nbsp; Internal benchmarking Style of play validation vs outcome focused External benchmarking Where are we in relation to progression of comparable international teams? &#x201C;In the world of soccer, we match up as a tier 2 team&#x201D; &#x2013; Berhalter Principle of play database Creation of playbooks for USMNT style Player Departure Post camp Data being sent from USMNT to the clubs within 24 hours Information and recommendations for reintegration into the club How do we get better? High pressing Developing alternative defensive structure Shooting zones / low block defending Where the goals are scored Set play analysis Attacking set plays Offensive transitions from defending restarts Throw-ins Best practices Learning from international &amp; club level best practices USNT structure- high performance and analytics all work in the same office All&nbsp; working towards the same goal How can we get the most out of our players by setting up data? Challenges How are we continually growing? Trusting instinct as a coach vs data Use data to HELP us make decisions&nbsp; Instincts are important High performance team telling us something about a player&#x2019;s work load We went into the Gold Cup semi with 2 subs we were planning to make at halftime based on the data available Passing networks Opponents passing networks show us relationships between players Summary: US Soccer has been at the forefront of providing the soccer analytics community with best practices and strategic process during the Covid-19 pandemic. Definitely check out the 8 part webinar series put together by US Soccer&#x2019;s Director of High Performance James Bunce, which walks participants through US Soccer&#x2019;s elite athlete monitoring and high performance infrastructure. From pre camp monitoring to post match evaluation, Berhalter&#x2019;s talk walked attendees through the extensive data collection and integration processes that exist within the US Soccer high performance. US Soccer coaches receive data live streamed to the sidelines during games. &#x201C;We are able to see video live on the bench, which allows our staff to tag and prepare our own halftime folder for review with the players.&#x201D; USMNT General Manager Earnie Stewart hired Berhalter through a process that was defined by analytics, and this talk certainly backed up&nbsp; Berhalter&#x2019;s acceptance of analytics as a key ingredient in his coaching process.&nbsp; Ravi Ramineni @analysefooty &#x2013; Director of Soccer Analytics, Seattle Sounders FC @SoundersFC Gonzalo Pineda @GonzoPineda8 &#x2013; Assistant Coach, Seattle Sounders FC @SoundersFC Coach vs analyst&nbsp; Subjective vs objective Is data always objective? Interpretation of data adds subjectivity to the mix Complementary relationship Evaluating performance&nbsp; Evaluate our own performance Analyze opponents Example &#x2013; Analyze a match Analyze an opponent Using video in conjunction with data to analyze opponents Heat maps Scouting players Raul Ruidiaz example FC Bayern Trying to build out of the back Player awareness Can I progress the ball? Vidal missing a ball progression opportunity by playing back Napoli Head movement before ball received to understand space Hamshik to Mertens to Callej&#xF3;n Whether or not we should let players take shots with low probability Victor Rodriguez shot map example Summary: Ramineni and Pineda switched gears to give attendees insight into a club&#x2019;s in-house analytical process. There were some differences, but also many similarities between the USMNT analytical approach and the approach taken by the Sounders. Both groups referenced that though both exist independently, the collaboration with national team and club analysts is extremely important when evaluating player fatigue and capacity. The idea of coach and analyst coexisting with a complementary relationship was introduced (this was a common theme throughout the conference) in this presentation. A strong relationship between the coaching staff and analytic staff enables each staff member to cover each other&#x2019;s blind spots and confront biases.&nbsp; &#x201C;The key part of this connection &#x2013; not confrontation &#x2013; between coach&#x2019;s and analyst&#x2019;s point of view is that one fills the gap of the other. There is data that complements the point of view of the coach, but also presents a challenge for coach and analyst to get more meaningful data.&#x201D; &#x2013; Gonzalo Pineda Tom Worville @Worville &#x2013; Football Analytics Writer, The Athletic @TheAthletic Analytics, a bite at a time Transition from Opta data scientist to data analyst to football analytics writer for The Athletic The Athletic Using data to tell stories Where is analytics going? Not currently working at a club but&#x2026; Internal club analyst and scout relationship similar to the relationship between Worvile and fellow Athletic writers Learning about players they have spoken with/see week in and out Questions what I think will work well vs what they know will work well Editors are my analogue to coaches Two sides of data in a club Decision makers &#x2013; let&#x2019;s use data to make decisions&nbsp; Data makers &#x2013; data is fallible&nbsp; &#x201C;There is only one way to eat an elephant: a bite at a time&#x201D; Analogy for adoption of analytics Example: Liverpool Age profile Informational overload Skill is</description></oembed>
