Charis Ioannou’s Post

I recently did a project classifying the forwards in the top 5 leagues for the 23-24 season. I've published my findings on Medium. Have a read 🙂 #datafam #footballanalytics #datascience

Hello everyone!  I'm excited to introduce the radar chart, a powerful tool widely used in football analytics to assess a player's abilities and track various metrics over time. This tool is especially useful for comparing players in the same position. However, we faced a challenge: metrics often have different ranges and scales, making comparisons potentially misleading. To address this, we used percentiles, which show the percentage of scores in a distribution that a particular score surpasses. The data has been obtained from the understat API, which focuses more on the metrics when the player has the ball, such as Goals, Assists, xG, xA, and Key Passes.   In the video, we will explore the evolution of the English player Jude Bellingham, from a promising young midfielder in 2021 to an all-around player in 2024. Also, we will compare Jude Bellingham with Belgian player Kevin De Bruyne, one of the best playmakers in the world, highlighting his dominance in passing metrics such as Assists, Key Passes, xA, and xGChain. Bellingham dominated in the scoring metrics such as Goals, shots, and xG. I look forward to your thoughts and discussions! #FootballAnalytics #RadarChart #PlayerAssessment #understat

Last week, Tom Tango introduced the concept of Predictive wOBA, and through correlation analysis, he demonstrated that Predictive wOBA exhibits stronger predictive capabilities for Next Season wOBA than both wOBA and xwOBA. Is there a way to further improve Predictive wOBA? In this post, I’ll examine the predictive power of a slightly different version of Predictive wOBA, incorporating walks, strikeouts, and hit-by-pitches, along with all batted balls. Major League Baseball (MLB) #baseballAnalytics https://lnkd.in/ezUn6PY7

The secret to modern football's success lies in meticulous data analysis. Clubs analyze player performance, opponent strategies, and team dynamics to make informed decisions, enhancing their chances of success. #REBORN #FootballAnalytics #DataDrivenDecisions #FootballStrategy #SportsData #PerformanceAnalysis

The average fan really doesn’t grasp how much work is done even with veterans in Spring Training these days. It’s not entirely about workload buildup, but exposure to advanced tech/analytics. For example: The #RedSox pitch usage is very different in MLB and MiLB in 2024 comparing to 2023. That simply wouldn’t be possible without a safe environment to fail, AKA Spring Training - along with the best analysts and tech to foster the changes. In the complex if you report on time and you’re healthy, you can throw maybe ~10 bullpens/sides on Trackman and 2-4 sessions on a markerless biomech setup, plus DEXA scans + force plate jumps + other S&C data collection. That’s all par for the course for a great org today. All of that information can be processed by your analytics team and new AI/ML models to give athletes great insights on recovery, performance, and on-field changes. Baseball at the highest level is brutally difficult. Having the best information helps a lot. #analytics #sabermetrics #motioncapture #hawkeye #trackman #pitching #baseball #mlb #milb #boston #bostonredsox

Wonderful insights

For Those Of You Interested In Football Analytics. Is the First Goal Vital? What About Teams With Different Playing Styles? Who Are The Best/Worst Teams at Recovering After Conceding First? Find Out Here 👇 https://lnkd.in/eVEkFj8B

In this episode, Coach Carvalho shares the evolution of his methods using critical game data to create smart strategies that enhance team success and how this journey led to Smart Hoops Analytics, a platform to help coaches implement these adaptable, game-changing methods to defy the status quo.

Check out this amazing use case of data analysis in sports! 💪🏆 Want to know the secret of making it to the championships on a limited budget? Meet the underdog team led by Billy Beane, played by Brad Pitt, and Peter Brand, played by Jonah Hill, who proved that data analysis can level the playing field in sports! We've discovered how a team with tight resources can identify undervalued players who deliver the wins needed for championship glory. Witness how strategic player acquisitions based on data-driven insights led this team to victory and be inspired by their determination and success! 🏆 #datascience #DataAnalytics #DataAnalysis #BusinessGrowth #sportsanalytics #sports #outsource #outsourcingservices #ondemand #ondemandservices

There’s more to visualization than meets the eye - literally! Find out why MLB All-Stars like Mike Trout & Kris Bryant and countless other Pros use it. In this post, you’ll discover: * Why you need to update your definition of visualization * How a big league pitcher uses visualization * The 4 core tenets of optimal visualization * How to double practice reps in every practice Plus, grab the BONUS poster for your team: 4 Keys for Optimizing Visualization It’s all here: https://lnkd.in/ebRb9Br