Tracking Cycling Training Progress: Monthly Testing and Long-Term Trend Analysis

Introduction

“Has today’s training improved compared to three months ago?” For most amateur cyclists, the answer to this question is often vague: climbs feel easier, but there’s no quantitative data to support it. Establishing a systematic progress-tracking mechanism can not only answer this question but also identify which training methods are most effective, when adjustments are needed, and when rest and recovery are required. This article introduces a monthly evaluation plan and long-term trend analysis method suitable for amateur cyclists in Taiwan.

Why Systematic Progress Tracking Is Necessary

Cycling fitness progresses non-linearly: gains come quickly in the early stages of training but slow down once you hit a plateau; seasonal changes, life stress, and sleep quality can all cause significant fluctuations in single test results. Without systematic tracking, it’s easy to mistake temporary fluctuations for genuine regression, or mistake “feeling good” days for progress, leading to poor training decisions.

Systematic tracking can tell you:

• The long-term growth rate of FTP (how many watts gained per month)
• Which training phase saw the fastest CTL growth
• When FTP growth has stalled (possibly requiring a new training stimulus)
• The recovery rate after injury or time off training

Choosing Monthly Evaluation Metrics

Not every metric needs to be tested monthly. Below is a recommended evaluation frequency categorized by importance:

Designing a Personal Benchmark Route

What is a “Benchmark Segment”?

To eliminate external factors (wind direction, traffic), progress evaluation is best conducted on a fixed route. Ideal benchmark segment conditions:

• Length of 5–20 km (can sustain 10–30 minutes of continuous effort)
• Climbing segments are preferable to flat roads (less wind impact, cleaner data)
• No traffic light interruptions
• Recommended routes in Taiwan: Yangmingshan Zhuzihu section, Beiyi Highway (Pinglin toward Jiaoxi direction), final 10 km of Wuling

Testing protocol:

1. Every 4–8 weeks, in a well-recovered mental and physical state
2. Record time (seconds), average power (W), average heart rate (bpm), power-to-weight ratio (W/kg)
3. Exclude test days with temperatures exceeding 35°C or strong crosswinds
4. Fill in the progress tracking table

Methods for Long-Term Trend Analysis

Moving Average FTP Trend

Don’t just look at whether “last FTP was higher or lower than the one before”—look at the 3–6 month moving average trend of FTP. One anomalous FTP test doesn’t mean regression, but three consecutive low readings indicate genuine stagnation.

Recommended approach: Create a simple tracking sheet in Excel or Google Sheets with columns including: date, FTP, body weight, FTP/body weight (W/kg), and notes (any unusual fatigue, illness, etc.).

CTL Peak Tracking

The annual CTL peak (the highest CTL point in a year) is an important indicator of training volume progress. If this year’s CTL peak is higher than last year’s, it shows your body has adapted to a greater training load.

Goal-setting example:

• Last year’s CTL peak 55 → This year’s CTL target peak 65
• Work backward to calculate the required average weekly TSS (approximately 460), then break it down into daily training time

Year-over-Year EF Comparison

After completing an LSD ride on the same route in the same month each year (e.g., July), compare the year-over-year change in EF (Normalized Power ÷ Average Heart Rate). If this July’s EF is higher than the same period last year, it represents a genuine improvement in aerobic efficiency, ruling out temperature interference.

Diagnostic Process When Progress Stalls

If FTP tests show no improvement—or even a decline—for 2–3 consecutive tests, systematically diagnose the cause:

Step 1: Rule out test variables

• Was the test performed after adequate recovery? (Is TSB above +5?)
• Was sleep sufficient the night before the test?
• Has the power meter been calibrated?

Step 2: Review training structure

• Has the training intensity distribution been too “middle-heavy” (too much Z3) over the past 3 months?
• Is the proportion of Zone 2 sufficient (recommended 60–70% of training time)?
• Is there enough high-intensity stimulus (1–2 Z4–Z5 interval sessions per week)?

Step 3: Check lifestyle factors

• Has sleep quality declined?
• Has work/life stress increased significantly?
• Does your diet support training demands? (Long-term low-carbohydrate diets impair high-intensity training)

Recommended Training Periodization for Taiwan

Taiwan’s race calendar and climate suit the following annual training periodization framework:

Practical Recommendations

1. Build a “training log dashboard”: Use Google Sheets to create an annual tracking sheet containing FTP, CTL peak, and benchmark segment times, updated quarterly, to make progress visible.
2. Set 1–2 “key target races” each year: All quantitative training metrics should serve these goals, avoiding scattered tracking of too many indicators.
3. Don’t test FTP too frequently: Each FTP test is a highly demanding ride; testing too often consumes training resources. A test every 6–8 weeks is sufficient.
4. Accept seasonal fluctuations: Taiwan’s summer training data (high temperature affecting heart rate) shouldn’t be directly compared with winter; focus on year-over-year trends for the same season.
5. Long-term tracking is more valuable than short-term comparison: One month of data is easily influenced by too many external factors; 1–2 year long-term trends truly reflect the effectiveness of your training system.

Conclusion

Progress tracking is the closed loop of scientific training: plan, execute, measure, adjust. For amateur cyclists in Taiwan, establishing a simple yet consistent tracking mechanism—regular FTP testing, CTL trend monitoring, and fixed-route time recording—is sufficient to provide clear progress signals. Data is not the goal; it’s a tool to help you make better training decisions. When you can answer “how much faster am I compared to last year, and how much has my fitness improved,” your training has truly entered the realm of scientific management.

Related Reading

• The Importance of a Cycling Training Log: How to Record and Analyze Your Progress
• Long-Term Power Data Trend Analysis: Methods for Tracking Progress from 6 Months of Training Records
• Periodization of Strength Training for Cyclists: Adjusting Strength Training Intensity Before, During, and After the Season
• End-of-Season Power Testing: Methods for Evaluating a Full Year of Training Effectiveness