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We believe in sports science.
Feed your mind with fascinating facts about the science and technology behind Next11 tracking.
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Twenty-gram sensors track up to 25 players live during practice sessions and matches. Data is transmitted to the Edge device at the sideline, which crunches the numbers and sends the results to the coach's tablet, revealing exactly how each player is performing at any given moment. After the session, all tracked actions are auto-extracted and pushed to both the coach's app and the players’-profiles in their app.
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Bluetooth.
Microprocessor
Accelerometer.
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COMING SOON.
First-ever Bluetooth Mesh Network for football transmits player and ball data live during matches and training sessions.
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The Edge collects, processes, and stores all data live at the sideline.
Charge it up.
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Concisely displayed essential indicators for fast in-game decisions. More detailed data the deeper you dive.
sustainable performance.
Scientific principles.
Truly rigorous and structured sports science backs our indicators and metrics hierarchies. We apply scientific principles to our football tracking to allow athletes to develop in safe yet still demanding ways. What really sets our science-based data apart is its ability to motivate, inspire, prepare, push, and create a sustainable environment in which athletes can excel at the very highest level.
Approximately 190–200 national teams compete in qualifying tournaments within the scope of continental confederations for a place in the finals. The finals tournament is held every four years and involves 32 national teams competing over four weeks.
Player Load in one single number.
Whether you’re a coach concerned about team performance, a player focused on improving skills for the pitch, or a manager navigating the tricky waters of capital and resource allocation, you’ll love our live Player Load.
Meet the Player Load formula. The N11 Player Load is calculated as the Squared Euclidean Norm of the three axis's. Here, x, y and z represent the accelerations of the tag in direction x, y and z - respectively.
PL = √(x2+y2+z2)2
The load is calculated as the Squared Euclidean Norm (i.e. the sum of squares) of the three axis's, which entails a relatively higher weighting of high observations.
This is based on the sports scientific knowledge that high intensity work such as sprints, kicks, tackles, jumps, accelerations, decelerations constitutes a significantly higher load than moderate work such as jogging.
Our ambition is to track, nuance and celebrate performance, not just a match result. We’re here to equip curious, ambitious coaches and players with the data know-how they need to excel. To give intensive, real-world, and immediately data to help you level up in your game.
Our accelerator-based formula tracks the true physical load on players.
Our accelerometer measures the linear acceleration of a movement, whether it is forwards, backwards, sideways, or vertical. An accelerometer is the most sensitive way to track as it captures ALL player movements.
Unlike GPS-based systems, which track movements of the upper body, Next11 tracks players' leg movements. Our calf-mounted accelerometer picks up significantly more movements compared to an accelerometer positioned on the upper body. By tracking the legs, we get more accurate load data, as leg sensors detect more high-intensity actions, such as accelerations and sprints.
Next11 captures up to five times more player movements during training sessions and twice as many player movements during matches.
The speed ladder exercise is just one example of our calf-mounted accelerometer outperforming GPS-based systems positioned on the upper body. During this exercise, the player's upper body remains relatively static while the legs are working hard.
A GPS-based system on the upper body will therefore not detect it as high-intensity work. It would categorize the speed ladder exercise as low intensity, while leg sensors correctly interpret the load as high- intensity load.
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Track technical stats
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Successful passes.
This is as straight forward as it sounds. When the ball is passed from one player to another player at the same team, it counts as a successful pass. In many ways, it serves as an indicator of how well the players are handling the ball.
Coming soon.
Unsuccessful passes.
When a pass from one team member to another team member is intercepted by the opponent, it is tracked as an unsuccessful pass. As with successful passes, this is a metric that can vary a lot from position to position. A holding midfielder might be expected to have fewer unsuccessful passes while offensive players are expected to play with a higher degree of risk.
Coming soon.
Ball possession.
The ball possession is a dynamic number that showcases how much time and percentage of each individual player and the team as a whole are in possession of the ball throughout the match. Coming soon.
Passing speed.
One of the biggest leaps from youth to senior football is arguably the passing speed. At the highest senior level, passes are fast and hard and it takes a great deal of control for a player to handle it. Based on this insight, the passing speed of youth players proves to be a vital indicator of how a player will handle the transformation to senior football.
Coming soon.
Passing direction.
The value of a successful pass is very often correlated with the direction of the pass – as successful forward passes have a high impact on how many chances and goals a team creates. Coming soon.
Passing distance.
Depending on playing style the distance of passes throughout a match prove as an important game play information. For some teams, it might be part of the game plan to send the ball directly from defense over the midfield as much as possible whereas others base their play on short passing right from the goalie.
Coming soon.
Passing relations between teammates.
Vital to the success of any team is the ability of players to find each other with successful passes at the right moments. And accurate data detailing exactly who is passing to whom, and who is not passing to whom, is often the starting point for valuable discussions that lead to targeted training and the development of optimal player relations.
Coming soon.
Track tactical stats
Ball position.
We use the ball position during the match to illustrate where on the pitch the ball spends most time. Both when it is in your team’s possession and when it is not. It’s an easy way to get an overview of where to exploit the less crowded places on the pitch.
Coming soon.
Player position.
Based on the position of the players, we can add value to their passing data and tell where on the pitch the passes were made. It also allows us to paint a picture of where the player spends most time during the match.
Coming soon.
Interceptions.
Getting the ball back as fast as possible after it has been lost is a key virtue for most teams. With Next11's interception metrics, you'll know how fast and how successfully the ball is snatched back after possession has been lost. Furthermore, you'll know how many players are involved in the counter-pressing strategy at any given time from the point of defensive transition.
COMING SOON.
Track physical stats
Explosive actions.
Explosive actions that require all-out movements, like sprinting as fast as possible or making very hard accelerations or decelerations. They demand maximal intensity or effort.
Very high intense actions.
Very high actions are performed with near-maximal intensity, like running at very high speeds or making quick cuts and changes of direction.
High-intensity runs.
High actions are performed at a high intensity, such as running at high speeds for extended periods of time.
Moderate work.
Moderate actions are performed at a moderate intensity, like running at a regular pace.
Acute Chronic work load.
How to manage player load in a packed schedule? The number of matches seem to increase steadily in football and for many teams its almost becoming the new normal to have two matches a week over longer periods. This pose a serious challenge for the sport scientists who are expected to keep the players fit.
The increasing number of matches call for effective tools to monitor the balance between imposed load and the need for recovery and it’s the reason we have added Acute Chronic Workload Ratio to our coach app. It gives a quick overview of each player's workload the past 28 days.
RPE & Wellness scores.
Athletes’ subjective physical intensity counts. Players' subjective experience of the load is a precise indicator of their readiness. Using RPE-based metrics and well questionnaires can provide insight into an athlete’s internal load, whereas Next11 tracking provides insight into an athlete’s external load. When coupled together, they provide a well-rounded total load overview for each player. The Rate of Perceived Exertion (RPE) and the Hooper Index are integrated directly into the N11 coach app to support the external load.
Get physical.
And analytical.
Copenhagen-based Next11 is a sports tracking technology forsports coaches and teams of up to 25 players. We’re pioneering a live tracking solution from the leg that’s affordable for many teams.
We help coaches and athletes succeed with data in a way that enables you to better reduce injuries while also truly accelerating athletes’ performance. Our tracking system is mobile, fits a backpack, and the app is so easy to use that it doesn't require any data experience.
Specs.
Decide from data.
Accelerate your team.
Calibrate your performance.
Accelerate your game.
Sprinting into contemporary football.
It’s a fully portable system, can be set up in a few minutes and available for just
€ 3600 annually
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