Strava Analytics: How to Get More From Your Running and Cycling Data
Strava's built-in analytics only scratch the surface. Here's how to unlock deeper insights from your training data and make smarter decisions about every workout.
Strava records everything — distance, pace, power, heart rate, elevation, cadence — but it only surfaces a fraction of that data in a useful way. Most athletes scroll past a summary card that shows average pace and heart rate, then move on. Yet buried inside every .fit file is enough information to answer questions like: Am I accumulating too much fatigue this week? Is my easy pace actually improving month-over-month? Which heart rate zones am I spending the most time in? Getting answers to those questions requires using Strava's analytics more intentionally — or extending it with the right third-party tools.
What Strava's built-in analytics actually show you
Strava has improved its analytics significantly in recent years, especially for subscribers. Here's what's available natively:
Free features
- • GPS map of the route
- • Distance, elapsed time, moving time
- • Average pace / speed
- • Elevation profile and total gain
- • Average heart rate and cadence
- • Calories burned estimate
- • Segment results (your rank vs. all time)
- • Activity feed and social features
Strava subscription features
- • Heart rate zone chart per activity
- • Power curve (cyclists)
- • Relative Effort score
- • Fitness & Freshness chart (rough CTL/ATL)
- • Training log calendar
- • Weekly and monthly totals
- • Segment leaderboard filters
- • Route builder with heatmaps
That's a solid foundation. The problem is that Strava's analytics are retrospective dashboards — you have to navigate to a separate section to see them. Your individual activity page, where followers interact with your post, shows almost none of it.
The analytics gap: what Strava doesn't show you
Several important questions remain hard to answer with Strava alone:
❓ How do my stats compare to my own historical average?
Strava shows absolute numbers (e.g. 5:15/km) but not whether that's better or worse than your last 20 runs at the same effort level.
❓ What's my power-zone distribution per ride?
Strava shows a power chart but doesn't break time-in-zone as a percentage of the ride, which is the number coaches care about.
❓ Am I accumulating too much fatigue?
Strava's Fitness & Freshness chart is only shown if you subscribe, and it uses a simplified model. Serious athletes use Intervals.icu or TrainingPeaks for accurate TSS-based load tracking.
❓ How many calories was that in useful terms?
Strava shows a calorie number. Whether that's 'a lot' depends on context — your body weight, effort level, and how that compares to your daily intake.
Using activity descriptions as your personal analytics dashboard
The most underrated place to surface analytics is the Strava activity description itself. It's the first text anyone reads when they open your activity — including you. An auto-generated description that includes heart-rate zone percentages, per-kilometre splits, and a weekly mileage summary turns every activity into a mini debrief you can review without leaving the app.
ActivityStat does exactly this. Every time you finish a run or ride and it syncs to Strava, ActivityStat calculates your stats and writes them directly into the description field within seconds. A typical cycling description includes:
- Normalised power (NP) and average power side by side
- Intensity Factor (IF) and Training Stress Score (TSS)
- Power zone breakdown as percentages (Z1 through Z6)
- Heart-rate zone distribution
- Speed, elevation, and calorie data
- Your week-to-date kilometres and training time
For runners, the equivalent is pace splits by kilometre or mile, heart-rate zones, and a rolling weekly mileage summary. You see it the moment Strava refreshes — no separate app needed.
Best tools for deeper Strava analytics
For analytics beyond what lives in the activity description, these tools integrate directly with Strava and fill specific gaps:
Intervals.icu — Training load tracking
Free and extraordinarily powerful. Intervals.icu imports your full Strava history and builds a CTL/ATL/TSB curve (fitness/fatigue/form), power curves, pace curves, and weekly load charts. Essential for anyone training more than 6 hours a week and wanting to avoid injury from overreaching.
Veloviewer — Segment analysis
Pulls your entire Strava segment history into one dashboard so you can track personal bests, see trends across a season, and identify which segments are ripe for a PR.
Smashrun — Running history visualisation
Running-only, but the charts are exceptional. Smashrun shows long-term pace trends, weekly mileage streaks, and lets you compare any two time periods side by side. Great for marathon training analysis.
Practical tips for reading your training data
Track weekly volume, not just individual sessions
A single easy 10 km run tells you little. The same run as part of a 70 km week after a 50 km week is meaningful context. Use ActivityStat's weekly mileage summary or Intervals.icu's load charts to see the bigger picture.
Monitor heart-rate zone distribution over time
Most endurance athletes should spend 80% of training time in Zone 2 (easy) and 20% in harder zones. If your zone distribution is inverted, you're likely training too hard too often and accumulating fatigue without the aerobic base benefits.
Compare normalised power to average power on rides
A large gap between NP and average power (e.g., 220W NP vs. 160W avg) indicates a very variable effort — lots of coasting and surging. A smaller gap means consistent power output, which is usually more efficient for racing.
Watch pace at given heart rates, not pace alone
As aerobic fitness improves, you run faster at the same heart rate. Track this ratio over months. If you're running 5:00/km at 145 bpm in January and 4:50/km at 145 bpm in April, your fitness has genuinely improved — even if your race times haven't moved yet.
Get your stats in every Strava description — automatically
ActivityStat turns each activity into a data-rich debrief. Connect Strava once, choose your stats, and you're done. Free for casual athletes; Beast Mode unlocks power-zone analytics for $1/month.
Start for free →