Reaction Time
What It Is | How fast an athlete responds to a stimulus. |
Why It’s Important | Shows how quickly an athlete can react. |
Good Indicators | Faster responses mean better reaction speed. |
How to Interpret Reaction Time | Low reaction time alone isn’t sufficient- Combine with other metrics (e.g., Coefficient of Variation) to assess true performance changes. |
Minute-on-Minute | Faster: Athlete is adapting. Slower: Athlete may be getting fatigued. Inconsistent: Needs more consistency. Stable: Athlete is consistent. |
Speed
What It Is | How fast an athlete responds to a stimulus. |
Why It’s Important | Normalizes reaction times, reducing outlier impact.
Provides a clearer picture of performance.
Enhances accuracy in analyzing abilities.
Identifies inconsistencies. |
Good Indicators | Higher speed means faster performance. |
How to Interpret Speed | Inversely related to reaction time.
Higher Speed: Faster responses or outliers.
Lower Speed: Slower responses or outliers.
Evaluate with accuracy and variation. |
Minute-on-Minute | Faster: Improved processing. Slower: Possible fatigue. Inconsistent: Needs stability. Stable: Consistent performance. |
Variation
What It Is | Consistency in an athlete’s performance. |
Why It’s Important | Shows how reliable the performance is. |
Good Indicators | Lower variation means more consistent results. |
How to Interpret Variation | Distinguishes genuine progress from natural fluctuations: Helps determine if improvements are real or just random changes.
Essential for comprehensive performance assessment: Provides a complete view of an athlete’s abilities.
Low Variation: Shows that the athlete is maintaining consistent performance.
High Variation: Suggests potential issues like fatigue, lack of focus, or inconsistent performance. |
Minute-on-Minute | Low: More consistent. High: Inconsistent performance. Fluctuating: Lacks consistent performance. Stable: Well-adapted. |
RCS (Rate Correct Score)
What It Is | Balances speed and accuracy in performance. |
Why It’s Important | Measures overall performance efficiency. |
Good Indicators | Higher RCS means better speed and accuracy. |
How to Interpret RCS | Increase in RCS: Better speed and accuracy.
Decrease in RCS: Possible fatigue or focus shift.
Steady RCS: Routine workload or full adaptation. |
Minute-on-Minute | Higher: Improved efficiency. Lower: Possible fatigue. Inconsistent: Lacks consistent performance. Stable: Consistent performance. |
Accuracy
What It Is | How correct an athlete’s responses are. |
Why It’s Important | Ensures tasks are performed correctly. |
Good Indicators | Higher accuracy means fewer mistakes. |
How to Interpret Accuracy | Increase in Accuracy: Fewer errors, more precise.
Decrease in Accuracy: More errors, possible fatigue or stress.
Stable Accuracy: Consistent precision. |
Minute-on-Minute | Higher: Better precision. Lower: More errors. Inconsistent: Lacks consistent performance. Stable: Reliable performance. |
rMSSD
What It Is | Measures short-term heart rate variability by calculating the square root of the mean squared differences between successive normal heartbeats. |
Why It’s Important | Reflects parasympathetic nervous system activity, indicating the body’s capacity to manage stress and recover. |
Good Indicators | Higher rMSSD values suggest effective stress management and recovery. |
Watch For | Lower rMSSD may indicate increased stress or overtraining. |
Minute-on-Minute | Higher: Good recovery. Lower: Needs recovery. Fluctuating: Erratic stress patterns. Stable: Balanced stress management. |
SDNN
What It Is | Measures overall heart rate variability by calculating the standard deviation of all normal-to-normal intervals over a specified period. |
Why It’s Important | Reflects the heart’s ability to respond to stress and recover, encompassing both sympathetic and parasympathetic influences. |
Good Indicators | Higher SDNN values indicate better cardiovascular health and autonomic flexibility. |
Watch For | Lower SDNN may signal increased stress or insufficient recovery. |
Minute-on-Minute | Higher: Good recovery. Lower: Needs recovery. Fluctuating: Erratic stress patterns. Stable: Balanced stress management. |
Context Matters: Combining MoM and Mean Data
When analyzing MoM data alongside mean data, it’s crucial to understand the context behind the numbers to make informed decisions.
Heavy Season
During intense competition schedules, cognitive training loads should be lighter to maintain peak performance. Expect minimal fluctuations in MoM data during this period, as the focus is on sustaining performance and optimizing for game day. Significant fluctuations may indicate an overly demanding training load that requires adjustment.
Off-Season or Pre-Season
These phases are ideal for pushing training intensity and applying cognitive stress to drive adaptation and improvement. Greater fluctuations in MoM data are expected, reflecting the increased demands on the athlete.
📥 Download