SportsFlow
SPORTSFLOW · PSYCHOMETRICS

FlowScore — FSR

Noah Wickliffe, M.S. · Founder, SportsFlow.ai · 8 min read · 3 cited sources

The Story

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measured through both questionnaire and wearable biometrics. It does not tell you whether you are in flow. It tells

you how ready your mind and body are to enter flow. High FlowScore days are the days to push. Low FlowScore

Six domains drive the score: Autotelic Immersion, Challenge-Skill Balance, Present-Moment Focus, Internal

provide wearable modifiers that shift the score based on your physiological state.

This is a composite portrait. No individual is depicted.
SECTION I

What the Research Tells Us

Your FlowScore measures how ready you are to enter flow — the optimal performance state

where challenge and skill align, self-consciousness dissolves, and peak performance

Score Architecture
Flow Score
FSR
➔ Composite
Score Continuum
NORMATIVE MEAN
Clinical concernOptimal functioning
Challenge-Skill
PRECONDITION
Demands match ability
Concentration
EXPERIENCE
Complete focus
Clear Goals
PRECONDITION
Knowing what to do
Feedback
PRECONDITION
Progress sense
Transformation of Time
MARKER
Hours feel like minutes

Csikszentmihalyi (1990) identified nine dimensions of flow, and Jackson and Eklund (2002) validated the Flow State

Scale as a reliable measure of flow experience in sport. The FlowScore builds on this foundation by measuring the

“Your FlowScore is the single most important number in your daily report. It tells you whether today is a day to chase peak performance or a day to build the foundation for tomorrow’s peak.”
— Noah Wickliffe, SportsFlow
SECTION II

How the SportsFlow System Helps

The AI Coach uses your FlowScore to make the day’s primary training decision. High FlowScore days trigger

challenging sessions — race-pace work, technique-intensive drills, competitive simulations. Low FlowScore days

References
[1]Csikszentmihalyi, M. (1990). Flow. Harper & Row.
[2]Jackson, S. A. & Eklund, R. C. (2002). Assessing flow in physical activity. J. Sport & Exercise Psychology, 24(2), 133–150.
[3]Peifer, C. et al. (2014). Psychophysiology of flow. J. Experimental Social Psychology, 53, 62–69.
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