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RightTalent
@RightTime
RightStimulus
Data-Driven Player Development:
Nuturing Future Champions – Today!
Who should we invest in
our time and money?
What are the skills we
need to improve, now?
What is the optimal stimulus
for player development?
How to manage athlete
performance?
Navigating through common challenges
If there is data, most likely it is in siloes
Investment
Football Skills level Character
Mental ability Functional parameters
Body measures
Breaking siloes and extracting knowledge from data
Holistic multidisciplinary approach as foundation
General player data
Morphology
Motor skills
Functional data
Health Record
Psychology
Intelligence
Social capital
T
echnique elements
Exercises Record
Training data
Match data
Video library
Catapult data
Guardian Angel
Financial data
Sports History
Staff data
Game Principles
T
actics elements
T
eam data
Player potential assessment
Time
Time
T
eam
How to find the answers?
Hypothesis Data Validation Action
Create a hypothesis that
will determine/improve
player performance
Describe hypothesis with
data and convert into
measurable metrics
Testing hypothesis against the
measurable metrics and creating
heuristics based on conclusions
Putting conclusions derived
through the experiment into
scaled action.
1 2 3 4
Evolution
1st Stage:
Data Entry: Populating data
through applications and
ingestion
2nd Stage:
Data Aggregation: Consolidating data
from multiple data sources to create a
single source of truth. Gut and intuition
are paired with basic statistics.
3rd Stage:
Visualization and alerts: Self service reporting
is used to not only create daily reports, but
also to create analysis that is proprietary to
the team’s expertise.
4th Stage:
Advanced Analytics: Leveraging
platform and tooling for data mining,
analytics, visualization, and
collaboration.
Track player
development across all
stages and navigate
coaches toward optimal
actions
Capture all data from
automated systems,
web application, mobile
application for players,
and video analysis
Collect relevant
multidimensional data
in common data model
and preserve their inter
relations
Prepare, analyze and
visualize all the data so
insights are created
and turned into
actionable outcomes
Develop CHAMPIONS
that brings joy to their
fans, trophies to their
teams and money to
their owners
Extensive reporting and advanced analytics
Video and analytics
Data & AI driven football players development

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  • 2.
  • 3. Who should we invest in our time and money? What are the skills we need to improve, now? What is the optimal stimulus for player development? How to manage athlete performance? Navigating through common challenges
  • 4. If there is data, most likely it is in siloes Investment Football Skills level Character Mental ability Functional parameters Body measures
  • 5. Breaking siloes and extracting knowledge from data Holistic multidisciplinary approach as foundation
  • 6. General player data Morphology Motor skills Functional data Health Record Psychology Intelligence Social capital T echnique elements Exercises Record Training data Match data Video library Catapult data Guardian Angel Financial data Sports History Staff data Game Principles T actics elements T eam data Player potential assessment
  • 7.
  • 10. How to find the answers? Hypothesis Data Validation Action Create a hypothesis that will determine/improve player performance Describe hypothesis with data and convert into measurable metrics Testing hypothesis against the measurable metrics and creating heuristics based on conclusions Putting conclusions derived through the experiment into scaled action. 1 2 3 4
  • 11. Evolution 1st Stage: Data Entry: Populating data through applications and ingestion 2nd Stage: Data Aggregation: Consolidating data from multiple data sources to create a single source of truth. Gut and intuition are paired with basic statistics. 3rd Stage: Visualization and alerts: Self service reporting is used to not only create daily reports, but also to create analysis that is proprietary to the team’s expertise. 4th Stage: Advanced Analytics: Leveraging platform and tooling for data mining, analytics, visualization, and collaboration.
  • 12. Track player development across all stages and navigate coaches toward optimal actions Capture all data from automated systems, web application, mobile application for players, and video analysis Collect relevant multidimensional data in common data model and preserve their inter relations Prepare, analyze and visualize all the data so insights are created and turned into actionable outcomes Develop CHAMPIONS that brings joy to their fans, trophies to their teams and money to their owners
  • 13. Extensive reporting and advanced analytics
  • 15. Data & AI driven football players development