Running Race Weight Calculator

Running Race Weight Calculator: Optimize Your Performance body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; background-color: #f8f9fa; color: #333; margin: 0; padding: 0; } .container { max-width: 960px; margin: 20px auto; padding: 20px; background-color: #fff; box-shadow: 0 2px 10px rgba(0,0,0,0.1); border-radius: 8px; } h1, h2, h3 { color: #004a99; text-align: center; margin-bottom: 20px; } h1 { font-size: 2.5em; } h2 { font-size: 1.8em; margin-top: 30px; border-bottom: 2px solid #004a99; padding-bottom: 5px; } h3 { font-size: 1.4em; margin-top: 25px; } .loan-calc-container { background-color: #eef2f6; padding: 25px; border-radius: 8px; margin-bottom: 30px; box-shadow: inset 0 1px 5px rgba(0,0,0,0.05); } .input-group { margin-bottom: 20px; display: flex; flex-direction: column; align-items: flex-start; } .input-group label { font-weight: bold; margin-bottom: 8px; color: #004a99; display: block; } .input-group input[type="number"], .input-group select { width: calc(100% – 16px); padding: 10px; border: 1px solid #ccc; border-radius: 4px; font-size: 1em; transition: border-color 0.3s ease; } .input-group input[type="number"]:focus, .input-group select:focus { border-color: #004a99; outline: none; } .input-group .helper-text { font-size: 0.85em; color: #666; margin-top: 5px; } .input-group .error-message { color: #dc3545; font-size: 0.8em; margin-top: 5px; height: 1.2em; /* Reserve space for error message */ } .button-group { display: flex; justify-content: space-between; margin-top: 25px; gap: 10px; } button { padding: 12px 20px; border: none; border-radius: 5px; font-size: 1em; cursor: pointer; transition: background-color 0.3s ease, transform 0.2s ease; font-weight: bold; } .calculate-btn { background-color: #004a99; color: white; flex-grow: 1; } .calculate-btn:hover { background-color: #003b7a; transform: translateY(-2px); } .reset-btn, .copy-btn { background-color: #6c757d; color: white; } .reset-btn:hover, .copy-btn:hover { background-color: #5a6268; transform: translateY(-2px); } #result { margin-top: 30px; padding: 20px; background-color: #28a745; color: white; border-radius: 8px; text-align: center; box-shadow: 0 4px 8px rgba(40,167,69,0.3); } #result .main-result { font-size: 2.5em; font-weight: bold; margin-bottom: 10px; } #result .sub-results { font-size: 1.1em; margin-bottom: 15px; } #result .formula-explanation { font-size: 0.9em; opacity: 0.8; } table { width: 100%; border-collapse: collapse; margin-top: 25px; margin-bottom: 30px; box-shadow: 0 1px 5px rgba(0,0,0,0.1); } caption { font-size: 1.2em; font-weight: bold; color: #004a99; margin-bottom: 10px; text-align: left; } th, td { padding: 12px 15px; text-align: left; border-bottom: 1px solid #ddd; } thead th { background-color: #004a99; color: white; } tbody tr:nth-child(even) { background-color: #f2f2f2; } canvas { display: block; margin: 20px auto; max-width: 100%; border: 1px solid #ddd; border-radius: 4px; } .article-content { margin-top: 40px; background-color: #fff; padding: 30px; border-radius: 8px; box-shadow: 0 2px 10px rgba(0,0,0,0.1); } .article-content p, .article-content ul, .article-content ol { margin-bottom: 20px; } .article-content ul, .article-content ol { padding-left: 25px; } .article-content li { margin-bottom: 10px; } .article-content a { color: #004a99; text-decoration: none; transition: color 0.3s ease; } .article-content a:hover { color: #003b7a; text-decoration: underline; } .related-links-section ul { list-style: none; padding: 0; } .related-links-section li { margin-bottom: 15px; } .tooltip { position: relative; display: inline-block; border-bottom: 1px dotted #004a99; cursor: help; } .tooltip .tooltiptext { visibility: hidden; width: 220px; background-color: #555; color: #fff; text-align: center; border-radius: 6px; padding: 5px 10px; position: absolute; z-index: 1; bottom: 125%; left: 50%; margin-left: -110px; opacity: 0; transition: opacity 0.3s; font-size: 0.8em; } .tooltip .tooltiptext::after { content: ""; position: absolute; top: 100%; left: 50%; margin-left: -5px; border-width: 5px; border-style: solid; border-color: #555 transparent transparent transparent; } .tooltip:hover .tooltiptext { visibility: visible; opacity: 1; } /* Responsive adjustments */ @media (max-width: 768px) { .container { margin: 10px; padding: 15px; } h1 { font-size: 2em; } h2 { font-size: 1.5em; } button { padding: 10px 15px; font-size: 0.9em; } .button-group { flex-direction: column; align-items: center; } .calculate-btn, .reset-btn, .copy-btn { width: 80%; margin-bottom: 10px; } }

Running Race Weight Calculator

Optimize your race performance by understanding the relationship between your weight and running speed. This calculator helps you estimate your potential improvements by adjusting weight.

Weight Performance Calculator

Enter your current body weight in kilograms (kg).
Enter the desired weight loss in kilograms (kg).
5k (5000 meters) 10k (10000 meters) Half Marathon (21097 meters) Marathon (42195 meters)
Select the distance of the race you are training for.
Enter your current average pace in minutes per kilometer.

Estimated Improved Pace: min/km

Time Saved:

Percentage Pace Improvement: %

Formula: Pace improvement is estimated using a rule of thumb: ~2 seconds per kilometer for every kilogram of weight lost. This is a simplification and actual results may vary.
Pace Improvement vs. Weight Loss
Weight Loss Performance Metrics
Metric Current Value Projected Value (after loss)
Weight (kg)
Pace (min/km)
Total Race Time

Running Race Weight Calculator: Optimize Your Race Performance

What is the Running Race Weight Calculator?

The Running Race Weight Calculator is a specialized tool designed to help runners estimate how changes in their body weight can impact their performance in running races. It quantifies the potential speed increase and time savings achievable by losing a certain amount of weight, based on established physiological principles and common estimations used in the running community. This running race weight calculator takes into account your current weight, target weight loss, race distance, and current pace to provide actionable insights.

It's crucial to understand that this calculator is an estimation tool. While losing excess weight can undeniably enhance running efficiency, the precise impact varies greatly from individual to individual. Factors such as body composition (muscle vs. fat), training consistency, running form, and overall health play significant roles. This running race weight calculator should be used as a guide to motivate healthy weight management and training adjustments, not as a definitive prediction.

Who should use it?

  • Runners looking to set personal bests (PBs) or improve race times.
  • Athletes aiming to shed weight specifically for performance enhancement, not just aesthetics.
  • Coaches and trainers seeking to provide data-driven advice to their athletes.
  • Anyone curious about the physiological benefits of optimal weight for running.

Common Misconceptions:

  • Myth: Losing any weight will make me faster. Reality: While excess body fat is detrimental, losing muscle mass can harm performance and increase injury risk. The calculator focuses on losing *excess* weight, primarily fat.
  • Myth: The calculator provides an exact time improvement. Reality: This is an estimation based on general rules of thumb. Individual physiology and training adaptation mean actual results will differ.
  • Myth: The calculator promotes unhealthy weight loss. Reality: Healthy weight management involves sustainable habits. This tool highlights the *potential* benefits of reaching a healthier weight, encouraging a balanced approach.

Running Race Weight Calculator Formula and Mathematical Explanation

The core principle behind the running race weight calculator is the relationship between body weight and the energy required to move that weight over a given distance. A lighter body requires less energy to propel forward, leading to faster paces. The most commonly cited estimation is the 'seconds per kilometer per kilogram' rule.

Formula Derivation:

While precise biomechanical models are complex, a widely accepted heuristic suggests that for every kilogram (kg) of weight lost, a runner can expect to improve their pace by approximately 2 seconds per kilometer. This is often derived from studies and observations in elite and recreational runners.

Let:

  • $W_{current}$ = Current Weight (kg)
  • $W_{target}$ = Target Weight (kg) = $W_{current}$ – Weight Loss (kg)
  • $P_{current}$ = Current Pace (minutes/km)
  • $D$ = Race Distance (km)
  • $S_{improvement}$ = Seconds of pace improvement per km per kg lost (constant, typically 2)

1. Calculate Total Weight Loss:

Weight_Loss = Current Weight - Target Weight

2. Calculate Pace Improvement per Kilometer:

Pace_Improvement_per_km = Weight_Loss * S_improvement (seconds/km)

3. Calculate Improved Pace:

First, convert current pace to seconds per kilometer:

Pace_current_seconds = P_current * 60 (seconds/km)

Then, subtract the improvement:

Pace_improved_seconds = Pace_current_seconds - Pace_Improvement_per_km

Finally, convert back to minutes per kilometer:

P_improved = Pace_improved_seconds / 60 (minutes/km)

4. Calculate Time Saved:

Total_Time_Saved_seconds = Pace_Improvement_per_km * D (seconds)

This can be converted to minutes and seconds for easier understanding.

5. Calculate Percentage Pace Improvement:

Percentage_Improvement = (Pace_current_seconds - Pace_improved_seconds) / Pace_current_seconds * 100

Variable Table

Variables Used in the Running Race Weight Calculator
Variable Meaning Unit Typical Range
Current Weight Runner's starting body weight. kg 30 – 200 kg
Target Weight Loss Amount of weight the runner aims to lose. kg 0 – 50 kg
Race Distance The length of the running event. meters / km 5,000m (5k) to 42,195m (Marathon)
Current Pace (min/km) Average time taken to run one kilometer currently. min/km 1 – 15 min/km
$S_{improvement}$ (Rule of Thumb) Estimated pace improvement in seconds per km per kg lost. s/km/kg Typically 1.5 – 2.5 s/km/kg (using 2 for this calculator)
Improved Pace Estimated pace after achieving target weight loss. min/km Calculated
Time Saved Total estimated time reduction over the race distance. Seconds / Minutes Calculated

Practical Examples (Real-World Use Cases)

Let's illustrate how the running race weight calculator can be applied with realistic scenarios:

Example 1: The 10k Runner Aiming for a PB

Scenario: Sarah is training for a 10k race. She currently weighs 65kg and runs at an average pace of 5:30 min/km (5.5 minutes per kilometer). She wants to see the potential benefit of losing 4kg before the race.

  • Inputs:
    • Current Weight: 65 kg
    • Target Weight Loss: 4 kg
    • Race Distance: 10000 meters (10k)
    • Current Pace: 5.5 min/km
  • Calculations:
    • Weight Loss = 4 kg
    • Pace Improvement per km = 4 kg * 2 s/km/kg = 8 seconds/km
    • Current Pace in seconds = 5.5 min/km * 60 s/min = 330 seconds/km
    • Improved Pace in seconds = 330 s/km – 8 s/km = 322 seconds/km
    • Improved Pace = 322 s/km / 60 s/min ≈ 5.37 min/km (or 5:22 min/km)
    • Total Time Saved = 8 s/km * 10 km = 80 seconds
    • Percentage Improvement = (330 – 322) / 330 * 100 ≈ 2.42%
  • Results:
    • Primary Result: Estimated Improved Pace of 5:22 min/km
    • Intermediate Values:
      • Current Weight: 65 kg
      • Target Weight: 61 kg
      • Current Pace: 5:30 min/km
      • Time Saved: 80 seconds (1 minute 20 seconds)
  • Interpretation: By losing 4kg, Sarah could potentially shave over a minute off her 10k time, improving her pace from 5:30 min/km to approximately 5:22 min/km. This makes achieving a new personal best a realistic goal.

Example 2: Marathon Runner Focusing on Endurance Pace

Scenario: John is a seasoned marathon runner weighing 80kg. His current marathon pace is 6:00 min/km (6.0 minutes per kilometer). He aims to lose 7kg sustainably over the next few months.

  • Inputs:
    • Current Weight: 80 kg
    • Target Weight Loss: 7 kg
    • Race Distance: 42195 meters (Marathon)
    • Current Pace: 6.0 min/km
  • Calculations:
    • Weight Loss = 7 kg
    • Pace Improvement per km = 7 kg * 2 s/km/kg = 14 seconds/km
    • Current Pace in seconds = 6.0 min/km * 60 s/min = 360 seconds/km
    • Improved Pace in seconds = 360 s/km – 14 s/km = 346 seconds/km
    • Improved Pace = 346 s/km / 60 s/min ≈ 5.77 min/km (or 5:46 min/km)
    • Total Time Saved = 14 s/km * 42.195 km ≈ 590.7 seconds
    • Percentage Improvement = (360 – 346) / 360 * 100 ≈ 3.89%
  • Results:
    • Primary Result: Estimated Improved Pace of 5:46 min/km
    • Intermediate Values:
      • Current Weight: 80 kg
      • Target Weight: 73 kg
      • Current Pace: 6:00 min/km
      • Time Saved: Approximately 591 seconds (9 minutes 51 seconds)
  • Interpretation: For John, a 7kg weight loss could lead to a significant improvement in his marathon time, potentially saving nearly 10 minutes. This highlights how crucial weight management is for endurance events, even for runners who may not consider themselves overweight.

How to Use This Running Race Weight Calculator

Using the running race weight calculator is straightforward. Follow these simple steps to get your personalized performance estimate:

  1. Enter Current Weight: Input your current body weight in kilograms in the "Current Weight" field. Ensure accuracy for the best results.
  2. Set Target Weight Loss: Specify how many kilograms you aim to lose in the "Target Weight Loss" field. Remember to aim for healthy and sustainable weight loss.
  3. Select Race Distance: Choose the distance of the race you are preparing for from the dropdown menu (e.g., 5k, 10k, Half Marathon, Marathon).
  4. Input Current Pace: Enter your current average pace per kilometer. This should be a realistic pace based on your recent training or race performances.
  5. Calculate Performance Gain: Click the "Calculate Performance Gain" button.

How to Read Results:

  • Primary Result (Highlighted): This shows your estimated improved pace per kilometer after achieving your target weight loss. A lower number indicates a faster pace.
  • Intermediate Values: These provide context, showing your starting and ending weights, your current pace, and the total time you might save over the selected race distance.
  • Chart: The dynamic chart visually represents the projected pace improvement across different weight loss scenarios, helping you understand the trend.
  • Table: This summarizes key metrics like weight, pace, and total race time for both your current and projected performance.

Decision-Making Guidance:

Use the results to:

  • Set Realistic Goals: Determine achievable time improvements and PBs.
  • Motivate Healthy Habits: Understand the performance benefits of reaching a healthier weight through consistent training and balanced nutrition.
  • Adjust Training Plans: Consider how weight changes might affect your training intensity and strategy.
  • Consult Professionals: Discuss your weight management and training goals with a doctor, registered dietitian, or running coach to ensure a safe and effective approach. Remember that sustainable weight loss is key, and drastic measures are rarely beneficial long-term.

Key Factors That Affect Running Race Weight Calculator Results

While the running race weight calculator provides a useful estimate, numerous factors influence actual performance gains. Understanding these is vital for a comprehensive view:

  1. Body Composition: The calculator assumes weight loss primarily comes from excess fat. Losing muscle mass can decrease strength and hinder performance. A healthy weight loss strategy prioritizes fat loss while maintaining or even increasing muscle through strength training.
  2. Training Quality and Consistency: Weight loss alone won't guarantee speed. Consistent, appropriate training is paramount. If training volume or intensity decreases due to weight loss efforts, performance might not improve as predicted. Proper running training plans are essential.
  3. Individual Physiology: Metabolic rates, genetics, and how efficiently each runner utilizes energy vary significantly. Some individuals naturally respond better to weight changes than others.
  4. Running Economy: This refers to how efficiently a runner uses oxygen at a given pace. Weight loss can improve running economy, but factors like running form, footwear, and biomechanics also play a crucial role and are not directly accounted for.
  5. Nutrition and Hydration: Proper fueling before, during, and after runs is critical. Extreme dieting or dehydration can negatively impact energy levels and performance, negating the benefits of weight loss. Seeking advice on runner nutrition is recommended.
  6. Health and Injury Risk: Rapid or drastic weight loss can lead to nutritional deficiencies, hormonal imbalances, and increased injury risk (e.g., stress fractures). A gradual, sustainable approach is always preferred.
  7. Environmental Factors: Race day conditions like temperature, humidity, and altitude can significantly impact performance, regardless of weight.
  8. Mental State and Pacing Strategy: Confidence, race day adrenaline, and effective pacing play a huge role. A runner's mental preparedness can significantly influence their outcome.

Frequently Asked Questions (FAQ)

Q1: Is the 2 seconds/km per kg rule accurate for everyone?
A: It's a widely used rule of thumb and a good starting point, but it's an average. Some runners might see greater improvements, others less. It's more accurate for individuals who are carrying excess body fat.
Q2: What is considered a healthy rate of weight loss for runners?
A: Generally, 0.5kg to 1kg (1-2 lbs) per week is considered healthy and sustainable for most individuals, especially when aiming to maintain muscle mass and energy levels for training.
Q3: Should I prioritize weight loss or training intensity?
A: Ideally, you should focus on both. Aim for gradual weight loss through a balanced diet and maintain or appropriately adjust your training intensity. Never sacrifice training quality or recovery significantly for rapid weight loss.
Q4: Does the calculator work for all race distances?
A: Yes, the principle applies across distances. However, the *impact* of a pace improvement might feel more significant in longer races where cumulative time savings are larger. For sprints, anaerobic capacity plays a larger role than weight alone.
Q5: What if I lose weight too quickly?
A: Rapid weight loss can lead to loss of muscle mass, decreased energy, impaired immune function, and increased risk of injury. It's generally not recommended for optimal athletic performance or long-term health.
Q6: Can I use this calculator if I'm underweight?
A: This calculator is primarily designed for runners looking to shed excess body fat. If you are underweight, focusing on adequate nutrition and strength training to build muscle might be more beneficial for performance than losing weight.
Q7: How does body composition (muscle vs. fat) affect the results?
A: The calculator assumes weight loss is primarily fat. Losing muscle can decrease power and efficiency. A focus on fat loss through caloric deficit combined with strength training is ideal. The calculator doesn't differentiate, so focus on healthy fat loss.
Q8: When should I aim to reach my target weight?
A: It's often advised to reach your target weight a few weeks before a major race, allowing your body to adapt and recover, rather than cutting weight right up until race day. This ensures you're well-fueled and injury-free.

Related Tools and Internal Resources

function getElement(id) { return document.getElementById(id); } function validateInput(inputId, errorId, minValue, maxValue, required) { var input = getElement(inputId); var error = getElement(errorId); var value = parseFloat(input.value); var isValid = true; error.textContent = "; // Clear previous error if (required && (input.value === " || isNaN(value))) { error.textContent = 'This field is required.'; isValid = false; } else if (!isNaN(value)) { if (minValue !== null && value maxValue) { error.textContent = 'Value cannot be greater than ' + maxValue + '.'; isValid = false; } } return isValid; } function calculateWeightImpact() { var currentWeightInput = getElement("currentWeight"); var weightLossTargetInput = getElement("weightLossTarget"); var raceDistanceInput = getElement("raceDistance"); var currentPaceMinutesInput = getElement("currentPaceMinutes"); var currentWeightError = getElement("currentWeightError"); var weightLossTargetError = getElement("weightLossTargetError"); var raceDistanceError = getElement("raceDistanceError"); // Not strictly needed for select, but for consistency var currentPaceMinutesError = getElement("currentPaceMinutesError"); var isValid = true; isValid &= validateInput("currentWeight", "currentWeightError", 30, 200, true); isValid &= validateInput("weightLossTarget", "weightLossTargetError", 0, 50, true); isValid &= validateInput("currentPaceMinutes", "currentPaceMinutesError", 1, 15, true); if (!isValid) { document.getElementById("result").style.display = "none"; return; } var currentWeight = parseFloat(currentWeightInput.value); var weightLoss = parseFloat(weightLossTargetInput.value); var raceDistance = parseFloat(raceDistanceInput.value); // in meters var currentPaceMinutes = parseFloat(currentPaceMinutesInput.value); var targetWeight = currentWeight – weightLoss; // Constants var secondsPerKmPerKg = 2; // Rule of thumb // Calculations var currentPaceSecondsPerKm = currentPaceMinutes * 60; var paceImprovementPerKmSeconds = weightLoss * secondsPerKmPerKg; var improvedPaceSecondsPerKm = currentPaceSecondsPerKm – paceImprovementPerKmSeconds; // Ensure pace doesn't become negative or unrealistically fast if (improvedPaceSecondsPerKm 0) { percentageImprovement = (paceImprovementPerKmSeconds / currentPaceSecondsPerKm) * 100; } // Format results var timeSavedFormatted = formatSecondsToHHMMSS(timeSavedSeconds); var improvedPaceFormatted = formatMinutesToMMSS(improvedPaceMinutesPerKm); // Update Results Display var resultDiv = getElement("result"); getElement("improvedPace").textContent = improvedPaceFormatted; getElement("timeSaved").textContent = timeSavedFormatted; getElement("percentageImprovement").textContent = percentageImprovement.toFixed(2); getElement("result .main-result").textContent = improvedPaceFormatted + " min/km"; getElement("result .formula-explanation").textContent = "Formula: Pace improvement is estimated using a rule of thumb: ~" + secondsPerKmPerKg + " seconds per kilometer for every kilogram of weight lost. This is a simplification and actual results may vary."; resultDiv.style.display = "block"; // Update Table getElement("tableCurrentWeight").textContent = currentWeight.toFixed(1) + " kg"; getElement("tableTargetWeight").textContent = targetWeight.toFixed(1) + " kg"; getElement("tableCurrentPace").textContent = formatMinutesToMMSS(currentPaceMinutes); getElement("tableImprovedPace").textContent = improvedPaceFormatted; getElement("tableCurrentRaceTime").textContent = formatSecondsToHHMMSS(currentTotalRaceTimeSeconds); getElement("tableImprovedRaceTime").textContent = formatSecondsToHHMMSS(improvedTotalRaceTimeSeconds); // Update Chart updateChart(weightLoss, currentPaceMinutes, raceDistanceKm, secondsPerKmPerKg); } function formatSecondsToHHMMSS(totalSeconds) { var seconds = Math.floor(totalSeconds % 60); var minutes = Math.floor((totalSeconds / 60) % 60); var hours = Math.floor((totalSeconds / (60 * 60)) % 24); var hh = hours < 10 ? "0" + hours : hours; var mm = minutes < 10 ? "0" + minutes : minutes; var ss = seconds 0) { return hh + ":" + mm + ":" + ss; } else if (minutes > 0) { return mm + ":" + ss; } else { return ss + " sec"; } } function formatMinutesToMMSS(minutes) { var totalSeconds = minutes * 60; var secs = Math.floor(totalSeconds % 60); var mins = Math.floor(totalSeconds / 60); var mm = mins < 10 ? "0" + mins : mins; var ss = secs < 10 ? "0" + secs : secs; return mm + ":" + ss; } function resetCalculator() { getElement("currentWeight").value = 70; getElement("weightLossTarget").value = 5; getElement("raceDistance").value = 5000; getElement("currentPaceMinutes").value = 5; // Clear errors getElement("currentWeightError").textContent = ''; getElement("weightLossTargetError").textContent = ''; getElement("currentPaceMinutesError").textContent = ''; // Hide results getElement("result").style.display = "none"; // Reset table placeholders getElement("tableCurrentWeight").textContent = '–'; getElement("tableTargetWeight").textContent = '–'; getElement("tableCurrentPace").textContent = '–'; getElement("tableImprovedPace").textContent = '–'; getElement("tableCurrentRaceTime").textContent = '–'; getElement("tableImprovedRaceTime").textContent = '–'; // Clear chart var canvas = getElement('performanceChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); // Optionally redraw placeholder or labels if desired } function copyResults() { var mainResult = getElement("result .main-result").textContent; var improvedPace = getElement("improvedPace").textContent; var timeSaved = getElement("timeSaved").textContent; var percentageImprovement = getElement("percentageImprovement").textContent; var formula = getElement("result .formula-explanation").textContent; var tableCurrentWeight = getElement("tableCurrentWeight").textContent; var tableTargetWeight = getElement("tableTargetWeight").textContent; var tableCurrentPace = getElement("tableCurrentPace").textContent; var tableImprovedPace = getElement("tableImprovedPace").textContent; var tableCurrentRaceTime = getElement("tableCurrentRaceTime").textContent; var tableImprovedRaceTime = getElement("tableImprovedRaceTime").textContent; var textToCopy = "— Running Race Weight Calculator Results —\n\n"; textToCopy += "Primary Result: " + mainResult + "\n"; textToCopy += "Estimated Improved Pace: " + improvedPace + " min/km\n"; textToCopy += "Time Saved: " + timeSaved + "\n"; textToCopy += "Percentage Pace Improvement: " + percentageImprovement + "%\n\n"; textToCopy += "Key Assumptions & Details:\n"; textToCopy += "- Formula Used: " + formula + "\n\n"; textToCopy += "Performance Metrics:\n"; textToCopy += "Current Weight: " + tableCurrentWeight + "\n"; textToCopy += "Target Weight: " + tableTargetWeight + "\n"; textToCopy += "Current Pace: " + tableCurrentPace + " min/km\n"; textToCopy += "Projected Pace: " + tableImprovedPace + " min/km\n"; textToCopy += "Current Total Race Time: " + tableCurrentRaceTime + "\n"; textToCopy += "Projected Total Race Time: " + tableImprovedRaceTime + "\n"; navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy text: ', err); alert('Failed to copy results. Please copy manually.'); }); } // Charting Logic var performanceChart; // Declare globally function updateChart(weightLoss, currentPaceMinutes, raceDistanceKm, secondsPerKmPerKg) { var canvas = getElement('performanceChart'); var ctx = canvas.getContext('2d'); // Clear previous chart if (performanceChart) { performanceChart.destroy(); } // Generate data points for chart var weightLossScenarios = []; var projectedPaces = []; var labels = []; var maxWeightLoss = 10; // Show up to 10kg loss for better visualization for (var i = 0; i <= maxWeightLoss; i++) { var currentLoss = Math.min(i, weightLoss); // Don't exceed actual target loss if less than 10kg weightLossScenarios.push(currentLoss); labels.push(currentLoss + " kg"); var currentPaceSeconds = currentPaceMinutes * 60; var paceImprovement = currentLoss * secondsPerKmPerKg; var improvedPaceSeconds = currentPaceSeconds – paceImprovement; if (improvedPaceSeconds < 60) improvedPaceSeconds = 60; // Cap minimum pace projectedPaces.push(improvedPaceSeconds / 60); // Store pace in minutes/km } canvas.width = canvas.parentElement.clientWidth * 0.9; // Make canvas responsive canvas.height = 300; // Fixed height for consistency performanceChart = new Chart(ctx, { type: 'line', data: { labels: labels, datasets: [{ label: 'Projected Pace (min/km)', data: projectedPaces, borderColor: '#004a99', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: true, tension: 0.1, pointRadius: 4, pointBackgroundColor: '#004a99', pointBorderColor: '#fff', pointHoverRadius: 6 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Weight Loss (kg)' } }, y: { title: { display: true, text: 'Pace (minutes/km)' }, reverse: false // Pace decreases as it gets faster } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } label += context.parsed.y.toFixed(2) + ' min/km'; return label; } } }, legend: { display: true, position: 'top' } } } }); } // Initial calculation on page load window.onload = function() { calculateWeightImpact(); // Add event listeners to inputs for real-time updates getElement("currentWeight").addEventListener("input", calculateWeightImpact); getElement("weightLossTarget").addEventListener("input", calculateWeightImpact); getElement("raceDistance").addEventListener("change", calculateWeightImpact); getElement("currentPaceMinutes").addEventListener("input", calculateWeightImpact); }; // Need to include Chart.js for the chart to work. // In a real WordPress environment, you'd enqueue this script properly. // For this standalone HTML, we'll simulate its presence and assume it's loaded. // If running this as a pure HTML file, you'd need to include: // // in the section. For this output, we assume it's available. // The code above uses the Chart.js API directly. // Dummy Chart.js object for the code to be syntactically valid in this context. // In a real environment, Chart.js would be loaded via CDN or wp_enqueue_script. if (typeof Chart === 'undefined') { var Chart = function() { this.destroy = function() {}; }; Chart.defaults = { plugins: { legend: {}, tooltip: {} } }; Chart.controllers = {}; Chart.register = function() {}; Chart.line = { options: {} }; // Mock context for canvas var canvasMock = document.createElement('canvas'); canvasMock.getContext = function() { return { clearRect: function() {}, fillRect: function() {} }; }; // Make it available globally if needed by some logic, though not directly used here. window.Chart = Chart; }

Leave a Comment