Neural Player Map
A player testing platform that connects objective test data to training plans through AI.
Coaches talk about "developing players," but most of the time that means watching a few games, trusting memory, and guessing what to train next. There is almost no hard link between what happens in testing, what happens in training, and how the player actually changes over weeks and months.
Neural Player Map fixes that. We take simple, realistic field tests and turn them into structured Player DNA for each player. The system tracks how that DNA changes when training changes, then uses AI to suggest practice plans that match what the data is telling us.
The goal is not to replace coaching. The goal is to give coaches a clear picture of who their players are, how they are changing, and which training blocks are really doing the work.
The Process
Testing & Collection
Run 13 repeatable tests with and without the ball to measure power, technique, decision making, and movement. All raw scores recorded consistently.
Creating the Player DNA
Raw test scores combined into a complete player profile (39 data points) showing strengths and weaknesses across four main traits.
Grouping Players by Type
Each player gets categorized based on their profile. Used to group similar players together and see how they compare.
Learning from Training
Compare what training each player did with how their profile changed. Learn which drills and workloads actually improve each trait.
AI Analysis for Practice Plans
Current Player DNA, cluster information, and recent changes are analyzed by AI to design practice plans with targeted drills and small group focuses.
What guides us
Objective Data
Simple, repeatable tests create clear player profiles. No guesswork, just measurable progress.
AI-Powered Plans
Session plans generated from actual test data, targeting where each player needs help most.
Affordable Access
Built for youth clubs and academies. Pricing that works for teams of all sizes.
Five steps to better development
Step 1
Testing & Collection
Run 13 repeatable tests with and without the ball to measure power, technique, decision making, and movement. All raw scores recorded consistently.
Step 2
Creating the Player DNA
Raw test scores combined into a complete player profile (39 data points) showing strengths and weaknesses across four main traits.
Step 3
Grouping Players by Type
Each player gets categorized based on their profile. Used to group similar players together and see how they compare.
Step 4
Learning from Training
Compare what training each player did with how their profile changed. Learn which drills and workloads actually improve each trait.
Step 5
AI Analysis for Practice Plans
Current Player DNA, cluster information, and recent changes are analyzed by AI to design practice plans with targeted drills and small group focuses.
What we measure
Power/Strength
Shot power, serve distance, jump endurance, and core strength.
Technique/Control
Dribbling, passing, juggling, skill moves, and ball control.
Mobility/Stability
Agility, single-leg hops, ankle flexibility, and core endurance.
Decision/Cognition
1v1 performance, reaction time, and in-game decision making.