Daten-Dashboard

Fasten-Halbmarathon

 

Experiment Overview

 

This project models the development of a fully fasted marathon under real-world executive constraint.

Training load, fasting exposure, autonomic response, sleep variability, and metabolic stability are documented across travel, workload fluctuation, and structured progression.

The objective is durability — not spectacle.

This dashboard reflects curated performance modeling rather than daily log output.

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Target Event Update

Istanbul Half Marathon

The current performance cycle centers on the Istanbul Half Marathon.

This event serves as a controlled performance benchmark within the broader fasted endurance modeling framework.

Primary objectives:

• Maintain autonomic stability under travel compression

• Preserve Zone 2 dominance while sharpening threshold pace

• Model substrate utilization at race intensity

• Validate pacing under low-fuel conditions

The half marathon format provides:

• Clear threshold testing

• Lower systemic recovery cost

• Faster feedback loop

• Higher modeling frequency

Durability is built through repeatable constraint — not singular peak events.

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1. Capacity Baselines (Laboratory-Calibrated)

VO₂max (Lab): 50

LT2 Calibration: 98%

Resting HR Baseline: 55 Schläge pro Minute

Colmar Half Marathon (Fasted): 1:31:02

Longest Fasted Long Run: 25 km

These values anchor longitudinal comparison.

2. Current Cycle State

Weekly Training Volume: 30–40 km

Intensity Distribution: ~80% Zone 2

Primary Event: Istanbul Half Marathon

Baseline Fasting Window: 16–24 hours

Deep Cycles Documented: 36h / 48h

Sleep (14-day avg): 6 h 30 min

Resting HR (7-day avg): 55 Schläge pro Minute

HRV: Interpreted relative to travel load

Operational rule:

• Instability → reduce load

• Stability → progressive amplification

3. Recent Deviation Log (Quarterly)

Event: Executive travel compression

Impact: Reduced sleep → HRV decline → elevated RHR

Response within 48 hours:

  • Reduced threshold intensity
  • Shortened fasting window
  • Sleep prioritized

Baseline restored within 72 hours.

Volatility is documented and corrected.

4. Substrate Modeling (Race Simulation)

Estimated glycogen at race start: ~60–70% of fully fueled capacity

Projected substrate contribution at race pace:

Fat oxidation: 55–65%

Carbohydrate contribution: 35–45%

Projected RER at race intensity: 0.80–0.85

Objective: Maintain threshold output under partial glycogen constraint while preserving autonomic stability.

5. Quarterly Biomarker Summary

(Q1 2026)

Alle Daten wurden im Rahmen der WbMT-Methodenarchitektur interpretiert.

Body Weight: 77 kg

Weight trend: Stable with minor weekly variance

Baseline Fasting Window: ~18 hours/day

(7-day average: 17h 54m)

Deep cycles (≥36h): 0 in current quarter

Fasting exposure maintained for stability rather than escalation

Resting Heart Rate (Year Avg): 55 Schläge pro Minute

Current Quarter Avg: 56 bpm

Status: Stable within personal range

Sleep (14-day avg): 7 h 27 min

Sleep architecture protected despite training load and executive travel

Training Distribution:

Zone 2 dominant with progressive long-run exposure

No high-intensity volume expansion this quarter

Laboratory Testing:

No new lab panel conducted this quarter

Last Structural Update: Q1 2026

Training Overview

Die Trainingsdaten werden über Strava angezeigt. Distanzen, Tempi und Höhenmeter werden in Echtzeit erfasst, während dieser Marathon-Abschnitt fortschreitet.

Model governance detailed in the WbMT Method.