Seven Serpents: Quick Bite 2023 ยท ๐Ÿชจ 11th Overall

545.2
KM.
36:48.

May 6โ€“7, 2023 ยท Garmin Edge ยท 63.5 kg ยท 10,054m climbing
TSS 1,450 ยท NP 196W ยท IF 0.708 ยท VI 1.289

152W
Avg Power
140bpm
Avg HR
29.4h
Moving
GPS ยท 545.2 km ยท Slovenia
01
RACE OVERVIEW
106,133 data points. Every second recorded. Seven Serpents: Quick Bite ยท 11th overall.
545.2km
GPS Distance
Ljubljana โ†’ Karst โ†’ Istria ยท Slovenia
36h48m
Race Elapsed
May 6 12:01 โ†’ May 7 22:52 local
29h25m
Moving Time
80.0% efficiency ยท 7.4h off-bike / sleep
15,813kJ
Total Work
18,295 kcal ยท ~430g fat oxidised
1,450TSS
Training Stress
Career-high TSS ยท 7 century rides equivalent
10,054m
Elevation Gain
10,863m descent ยท Karst + Julian Alps
1.289VI
Variability Index
High โ€” gravel terrain demands power surges
8.1h
Coasting Time
Gravel descents + technical zero-power sections
18.5km/h
Moving Avg Speed
Max 57.6 km/h ยท gravel surface friction
Full race stream ยท power / HR / altitude ยท hover or touch any point48h ยท 10s resolution
Yellow bars = power output. Red line = heart rate. Blue line = altitude (scaled). Dark bands = night. Hover for exact values.
Power (W)
Heart Rate (bpm)
Altitude (m, scaled)
02
POWER ANALYSIS
152W average ยท NP 196W ยท VI 1.289. Every watt across 545 km of Slovenian gravel.
Mean Maximal Power curve Critical Power Profile
Best average power for each duration. Log scale. Hover any point for values.
Normalised Power fade ยท 30-min rolling NP
How sustainable power evolved through the race. Flat NP = excellent pacing discipline.
Power zone time distribution
Time spent in each intensity zone. Endurance-dominated, as expected for ultra pacing.
Power histogram ยท 10W buckets ยท hover each bar
Frequency of every power reading. Bimodal shows pedalling vs coasting phases.
MMP benchmark table โ€” critical power profile

What this tells you: Your 5-min power of 670W (241% FTP!) shows explosive short-duration capacity on the Slovenian climbs. The 1-hour MMP of 259W (93% FTP) after 36 hours of gravel is exceptional โ€” sustained aerobic output near threshold deep into the race. The 7200s (2h) MMP of 238W shows your aerobic ceiling was fully accessible even in the closing stages.

Where to improve: The Variability Index of 1.289 is the highest of all your races and reflects the true character of gravel racing: repeated power surges on loose climbs, zero-power technical sections, and fast fireroad cruising. While some variability is unavoidable on gravel, targeting 1.20 VI would reduce glycogen burn rate by approximately 8%, a meaningful gain over 36 hours.

03
CARDIAC ANALYSIS
140 bpm average across 29 hours of gravel. Aerobic decoupling โ€“4.6%. Your cardiovascular system became more efficient through the night riding.
138bpm
Average HR
72.6% of max ยท Zone 3 sustained
180bpm
Peak HR
94.7% max ยท on early climbs
โ€“4.6%
Aerobic Decoupling
Negative = HR fell while power held
1.40W/bpm
Avg Power:HR
Strong cardiac efficiency on gravel
HR + Power trace ยท full race ยท hover any point
Heart rate (red) and power (yellow fill) across all 47 hours. Night shading shows nocturnal sections. Note HR trending downward while power holds โ€” negative decoupling.
Power:HR efficiency ยท every 10 min ยท hover each dot
Each dot = one 10-min segment. Upward trend = improving cardiac efficiency as race progresses (negative decoupling is good).
HR zone distribution ยท % time
Breakdown of time in each HR zone. Zone 3 dominance confirms correct ultra pacing zone.

Elite-level cardiac response: Negative aerobic decoupling of โ€“4.6% means your heart became more efficient as Seven Serpents progressed โ€” HR fell while power was maintained. The cool Slovenian second night (7ยฐC on the Karst plateau) is the dominant driver, as ambient temperature directly reduces cardiac output needed for thermoregulation. This is a strong physiological result for a 36-hour gravel effort.

04
WEATHER & ENVIRONMENT
7ยฐC to +22ยฐC ambient ยท wind up to 13 km/h ยท two nights. Real meteorological data overlaid on your ride.
7ยฐC
Min Temperature
Pre-dawn ยท second night on course
+21.7ยฐC
Max Temperature
Mild May afternoon ยท ideal conditions
13km/h
Max Wind Speed
Light wind ยท Bora gusts on Karst
31.4%
Night Riding
11.5h in darkness ยท two nights
Temperature ยท wind speed ยท HR ยท power ยท full race ยท hover for values
Weather from Open-Meteo historical API aligned to your GPS position. Orange = temperature, blue dashes = wind speed, red = HR, yellow fill = power. Watch HR spike in afternoon heat (hours 26โ€“30).
Headwind vs tailwind ยท power and speed impact
Wind direction relative to your riding heading. Computed from GPS bearing + meteorological wind direction every 10 minutes.
Wind rose ยท wind direction frequency during race
Polar chart showing how often wind came from each direction. Your route vs the dominant wind reveals advantage/disadvantage.
Day vs night performance ยท power ยท HR ยท speed
Temperature vs cardiac efficiency ยท scatter ยท hover each point
Each dot = 1 hour of racing. Shows how heat forces HR up for same power โ€” thermoregulatory cardiac cost.

Weather impact summary: Slovenia in early May offers near-ideal gravel conditions. The cool second night (dropping to 7ยฐC) is directly visible in HR data as the key driver of the negative decoupling โ€” HR fell while power held. The Karst plateau's exposed sections brought the most challenging wind exposure, while the Istrian coast sections in the afternoon added mild heat load. Thermal management was well handled across both nights.

05
TERRAIN ANALYSIS
10,054m of climbing on gravel. Gradient-stratified power analysis. Where you went fast and where you lost time.
Elevation profile ยท coloured by gradient steepness ยท hover for altitude + power
Blue = descent, green = flat, yellow = moderate climb, red = steep. Steeper sections clearly visible as colour shifts.
Power by gradient ยท avg watts at each slope %
How your output responded to terrain. Hover each bar for exact numbers.
Speed by gradient ยท how fast at each slope %
Speed collapses on uphill and explodes downhill. Actual numbers from GPS.
Interactive route map ยท coloured by elevation ยท click any segment

Terrain efficiency observation: The Seven Serpents course through the Slovenian Karst and Istrian hills features many loose gravel descents where technical skill matters as much as power. Your 8.1h of coasting (zero-power rolling) represents 27.5% of elapsed time โ€” the highest of all your races. Some of this is unavoidable on technical gravel, but smoother line choice on the fireroad sections could convert 30โ€“45 min of braking into low-power pedalling.

06
PACING & STRATEGY
How Seven Serpents was paced over 36 hours. Best and worst efficiency windows on gravel.
10-min segment analysis ยท power ยท HR ยท temp ยท efficiency ยท hover each bar
288 ten-minute windows across the race. Hover for full detail on each segment.
Best 10 efficiency windows (highest W:HR)
Segments where you produced the most power per heartbeat โ€” your peak biomechanical efficiency moments.
Worst 10 efficiency windows (lowest W:HR)
Segments where your heart worked hardest relative to power output โ€” heat, fatigue, or terrain effects.
Power consistency (CV%) by hour ยท lower = more metronomic pacing
Coefficient of variation of power within each hour. High CV = erratic power (climbs/descents). Low CV = smooth sustained effort. A consistent race is an efficient race.
07
MECHANICS
Cadence ยท speed ยท left/right balance. The physical machinery behind 545 km of Slovenian gravel.
Cadence distribution ยท hover each bar
57 rpm average โ€” typical ultra-distance grinding style. Low cadence saves metabolic cost at sustained low-moderate intensity.
Speed distribution ยท hover each bar
Bimodal: 24โ€“32 km/h (flat terrain cruise) and 36โ€“44 km/h (tailwind/descent sections).
Left / right power balance ยท 30-min rolling average ยท 138,234 samples ยท hover for detail
Deviation from 50/50 reveals leg dominance, fatigue asymmetry, or positional compensation. Yellow band = neutral ยฑ2% zone.

Biomechanical read: Power balance on gravel surfaces is inherently more variable than on road โ€” loose terrain forces constant micro-corrections through the hips and core. Despite this, the balance trace across 36 hours shows no acute asymmetric breakdown, confirming no injury compensation. The natural drift toward the dominant leg in the final third is expected and acceptable. Core stability training specifically for off-road riding positions would reduce this drift.

08
KEY INSIGHTS
What the data says. What you did exceptionally well. What you can improve. Evidence-based, from 106,133 data points.

โœ… Aerobic decoupling โ€“4.6% โ€” your heart got more efficient across 36 hours of gravel. HR fell from 144 bpm in the first half to 131 bpm in the second, while power dropped only proportionally. The cool Karst plateau night was a physiological gift that your body used perfectly.

โœ… MMP 5-min: 670W (241% FTP) โ€” explosive climbing power available and used across the Slovenian hills. Maintaining this level of short-duration output after 20+ hours of racing is a strong indicator of glycogen management โ€” you avoided the deep depletion that kills peak power in ultra events.

โœ… 11th overall on challenging gravel โ€” the data shows a disciplined first-half strategy with high power:HR efficiency that paid dividends through the second night. Negative decoupling and preserved sprint capacity at the finish confirm this was a well-paced effort, not a survival ride.

โœ… Peak power 1,088W (393% FTP) โ€” maximum neuromuscular capacity preserved through 36 hours. The gravel sprint surges demanded repeated anaerobic efforts and the system delivered throughout. No central fatigue-induced power ceiling was observed.

โš ๏ธ Variability Index 1.289 โ€” the highest of all your races. On gravel some surge-and-recover is unavoidable, but the data shows repeated 400โ€“500W spikes on short climbs that could be smoothed. Targeting VI โ‰ค1.20 would reduce glycogen burn significantly over 36 hours โ€” the difference between bonking at hour 28 and finishing strong.

โš ๏ธ Night power drop โ€“30W โ€” day average 214W vs night 184W (โ€“14%). On technical gravel, lower night speed is partly forced by visibility. But a better lighting setup and more night-specific training would help maintain power through the darkness. Caffeine timing (200mg at h=22, before the deepest circadian trough) is the quickest intervention.

โš ๏ธ 8.1h coasting time (27.5% of elapsed) โ€” the most of any of your races. Some is unavoidable on technical descents, but converting even 20% of coasting to light pedalling (50โ€“80W) on runnable fireroad sections would add meaningful forward speed without glycogen cost.

Complete race statistics