Why Compare Activities?

Comparing activities helps you:

  • Track fitness improvements
  • Evaluate pacing strategies
  • Test equipment changes
  • Understand environmental impacts
  • Refine race tactics

Types of Comparisons

Same Route Comparison

Most valuable for tracking progress:

What to Compare:

  • Overall time
  • Power on key segments
  • Heart rate response
  • Perceived effort
  • Weather conditions

Example Analysis:

March 1st: 1:45:00, 245W avg, 155bpm
April 15th: 1:42:30, 255W avg, 150bpm
Improvement: 2:30 faster, 10W more power, 5bpm lower HR

Workout Comparison

Track interval progression:

5x5min @ FTP

  • Interval avg: 285W, 287W, 283W, 280W, 275W
  • Fade: 3.5%
  • Avg HR: 165bpm

Improvements Shown:

  • 10W higher average (+3.5%)
  • Better consistency (less fade)
  • Lower HR (improved efficiency)

Using the Comparison Tool

Side-by-Side View

1

Select Base Activity

Open the activity you want to use as reference

2

Click Compare

Find the “Compare” button in the toolbar

3

Choose Comparison

  • Recent similar activities suggested
  • Or search by name/date
  • Can compare up to 3 activities
4

Analyze Differences

  • Synchronized charts
  • Overlay or side-by-side view
  • Difference calculations

Comparison Options

Chart Types:

  • Power overlay
  • Speed comparison
  • Heart rate response
  • Cadence patterns
  • Elevation sync

Data Views:

  • Raw data
  • Normalized/smoothed
  • Percentage difference
  • Statistical analysis

Key Metrics to Compare

Performance Metrics

Average Power

Overall effort level - higher is generally better

Normalized Power

Accounts for variability - better for varied terrain

Variability Index

How steady - lower better for TTs

Efficiency Factor

Power per heartbeat - higher shows fitness

Time-Based Metrics

Segment Times:

  • Climbs
  • Technical sections
  • Sprint points
  • Overall splits

Power Duration:

  • Best 20-minute power
  • Time above threshold
  • Sprint repeatability

Environmental Factors

Weather Impact

Always note conditions:

FactorPower ImpactSpeed Impact
10mph headwind+20-30W-2-3mph
10mph tailwind-15-20W+2-3mph
10°C colder+5-10WMinimal
Rain+10-15W-1-2mph
Altitude 2000m-10-15%Varies

Equipment Changes

Track impact of:

  • New wheels (aerodynamics)
  • Different tires (rolling resistance)
  • Position changes (aerodynamics)
  • Bike weight (climbing)
  • Clothing (aerodynamics)

Testing Tip: Only change one variable at a time to accurately measure impact.

Race Performance Analysis

Pre-Race vs Race Day

Compare your race to training:

Training Ride:

  • Controlled effort
  • Steady power
  • Conservative pacing
  • No pressure

Race Day:

  • Variable power
  • Higher peaks
  • Adrenaline factor
  • Better performance?

Post-Race Review

Questions to answer:

  1. Did I pace correctly?
  2. Where did I lose/gain time?
  3. How did power compare to plan?
  4. What would I do differently?

Group Ride Analysis

Comparing Efforts

Same group ride, different weeks:

Metrics to Track:

  • Time in draft vs pulling
  • Number of efforts > FTP
  • Recovery between efforts
  • Overall Training Score

Position Impact

Compare when you:

  • Sat in vs animated
  • Different group sizes
  • Various routes
  • Weather conditions

Testing Protocols

A/B Testing

Long-Term Comparisons

Seasonal Changes

Compare same months year-over-year:

Spring Build:

  • Year 1: 250W FTP, 65 Load
  • Year 2: 265W FTP, 72 Load
  • Year 3: 275W FTP, 78 Load

Shows consistent improvement!

Breakthrough Performances

Identify when you level up:

  • Sudden power increases
  • HR efficiency improvements
  • New duration capabilities
  • Mental breakthroughs

Creating Comparison Reports

Monthly Comparison

Create a standard monthly test:

  1. Same 1-hour route
  2. Best sustainable effort
  3. Consistent conditions
  4. Track key metrics
  5. Chart progression

Export Options

Share comparisons:

  • PDF reports
  • CSV data export
  • Image snapshots
  • Public links (optional)

Advanced Analysis

Statistical Comparison

Beyond simple averages:

  • Standard deviation (consistency)
  • Percentile analysis
  • Correlation factors
  • Regression analysis

Machine Learning Insights

Stride identifies:

  • Similar untagged efforts
  • Performance predictors
  • Optimal conditions
  • Training recommendations

Don’t over-analyze! Sometimes a bad day is just a bad day. Look for patterns over multiple comparisons.

Practical Applications

Using Comparisons for Goals

Example - Improve Climbing:

  1. Identify key local climb
  2. Test monthly
  3. Compare power/time
  4. Track W/kg improvements
  5. Adjust training based on results

Race Preparation

Compare efforts at race power:

  • How long can you hold it?
  • How does HR respond?
  • Can you repeat it?
  • Recovery between efforts?

Common Comparison Mistakes

Avoid These Errors

  1. Ignoring conditions - Weather matters!
  2. Different equipment - Changes results
  3. Fatigue levels - Fresh vs tired
  4. Time of day - Morning vs evening
  5. Nutrition status - Fasted vs fueled

Next Steps