Pomerol Partners的动态

????????????????:?https://lnkd.in/gFdTZxab ????????????????:?https://lnkd.in/gXtS3AFK Great time with Mark Haney discussing technology and football, and how our platform is revolutionizing how coaches make in-game decisions using real-time insights.

I am currently in #DataAISummit - Databricks 2024 - (San Francisco, June 10-13). Let us meet to discuss interesting ML problems, ML & LLMOps architectures and challenges at scale ?? #AI #ML #Data #LLM #MLOPs #Retail #Databricks #Canada

Hi, friends! IT'S THE HOME STRETCH. We're just two rounds away from the conclusion of HIVE Analytics' #40SlightlyOver40 competition. These semi-final matchups are intense, so I could definitely use the votes! May I ask for yours by clicking below? https://bit.ly/3vkzjih Don't forget to check out all of the competitors' profiles too, especially if you're in the industry. This group has some seriously incredible talent. #HIVEAnalytics #round3 #castyourvote

Team Discussion | Remind Your Team Of Who They Are After A Bad Day Of Practice via What Drives Winning https://lnkd.in/gM9iJjxQ

Are you interested in the Catapult Pro Video Suite? Download this guide for insights into how MatchTracker, Focus, and Hub can be utilized by your team this season.

??♂? PLOT TOOL UPDATE ??♂? ? Added a third metric to control the size of the dots ? Added an x=y line for xG vs G and xA vs A charts ? Added a bulk-click button to avoid having to click each dot individually ? Added dot colors for the leagues ? Added screenshot option Try the new features today on DataMB Pro and let us know your thoughts! ???? datamb.football

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

Fun feature I developed to associate icons based on modeled data. Sometimes the algorithm works well associating soccer with football. ?? Sometimes the algorithm doesn't work so well, associating racing with football.?? ALL THE TIME I am working to improve the Algorithm! ??

AutoData? is the key to turning your video into actionable insights. For Football/Soccer, Ice Hockey and Field Hockey you can submit your game to be broken down by professionals trained for each sport's nuances, then you’ll see a multitude of data and visualizations in Spiideo Perform. ?? ????? Whether for an individual or the whole team, these insights play a huge part in ensuring feedback is clear and actionable. ?? Learm more about AutoData?: https://hubs.ly/Q02z2X820

Here is a quick video on how to make a basic Monte Carlo like simulator in Microsoft Excel to try and predict baseball matchups. I made the process myself. However the implementation can be on you now. It’s a bit time consuming. The task was fun but not extremely accurate way. Would be interesting to see someone try and do this level of statistics and calculations for prior games. Edit: potentially more YouTube related posts to come on similar sports analysis