These days, the majority of elite clubs’ performance analysis departments begin their analysis process by videotaping practice sessions and competitions. In order to get footage from a variety of angles, such as up close to capture individual players or from a larger vantage point to capture the entirety of the pitch, many HD camcorders are sometimes positioned at high views on the sidelines of training fields or stadiums. Drones are occasionally utilized to record an even broader viewpoint from above the players on the field so that gaps during plays or structural setups and formations may be easily identified. During training sessions, the Performance Analyst may also be able to utilize a handheld camera, like a GoPro, to record an extra perspective that reveals player technique and closer movements by moving physically closer to the play. Media management software, such as Media Express from BlackMagic Design, is used to transfer the video from the camcorders directly onto a laptop or into SD cards that are stored within the cameras. Both are frequently used in tandem to support one another. Alternatively, in order to free up more time for extra real-time data gathering and analysis during the event, Performance Analysts can also get video feeds for certain matches or competitive events that are aired directly from the broadcasters.
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Performance analysts use time-lapsed computerized video analysis software, such SportsCode, Dartfish, or Nacsport, to record significant events and activities on the video and produce insightful data for further study once the tape is collected. With the use of these technologies, they are able to relive the training session or game and mark significant moments in order to create a database that includes frequency counts, the duration of certain activities, and pertinent background data about each individual action (such as whether a tackle was successful or a wasted chance). Later on, coaches and players may examine certain video highlights that the program automatically generates, as well as navigate through the event’s coded timeline. After exporting the frequency data, analysts would import it into data manipulation and analysis programs, most commonly Microsoft Excel. There, they would do additional analysis on the data and merge it with previous datasets, data from wearable tracking devices (players frequently wear GPS trackers, like Catapult, StatSports, or Playertek), or even data from outside sources and data providers, like Opta.
Coaches or players, or other interested parties, receive the insights derived from the analysis. The way that information is delivered differs significantly between clubs and is mostly dependent on the audience that will be receiving it. Coaches and players can receive printed summary reports that include important data and areas that need work. On other times, charts and other visual representations of team and player performance may be dynamically shown using data visualisation tools like Tableau. Watching replays and highlights of the areas being studied is usually very beneficial for coaches and players. As a result, analysts frequently use video editing programs like CoachPaint, KlipDraw, Adobe After Effects or Premiere Pro, or even just Apple’s iMovie application, to create brief highlights clips that combine annotated footage with information they want to convey to the coaching staff and team.
What’s Next for Sport Performance Analysis?
Performance analysis will continue to increase as long as technology keeps developing and data-related solutions keep adding new features to the area. Sports organizations will have additional chances thanks to new technology to improve their competitiveness and better use the talent of its athletes. Since a team’s primary objective is to outperform and outsmart its rivals, it follows that this will inevitably raise the bar for success in all major sports. Over time, teams will invest more in technology and human resources to take advantage of these new opportunities, as the financial rewards of victory will continue to draw in large sums of money from owners and investors.
But as technology and procedures get more sophisticated, the environment in which performance analysts work will also become more complicated. This will put more strain on the skills required in the area, where mastery of a developing data environment and strong sport and coaching process knowledge are prerequisites, in addition to highly technological abilities. Modern solutions will inevitably automate some of the tedious and monotonous operations that are currently done by hand. For example, analysts frequently manually code each and every event as it occurs in the clip using video analysis tools. Computer vision, on the other hand, has the potential to someday replace these labor-intensive and repetitive operations throughout the data collecting process from video footage by automatically identifying and monitoring players and moving objects (like the ball) in the field and carrying out frequency counts using functions that have been pre-programmed. Through automation, clubs are able to free up resources from Performance Analysis departments and enable analysts to devote more of their time to producing insights via in-depth examination of the gathered data.
