Pace Weight Calculator

Pace Weight Calculator — Calculate Your Running Pace and Weight Impact body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: #f8f9fa; color: #333; line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 1000px; margin: 20px auto; padding: 20px; background-color: #fff; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); border-radius: 8px; display: flex; flex-direction: column; align-items: center; } header { background-color: #004a99; color: #fff; padding: 20px 0; text-align: center; width: 100%; border-top-left-radius: 8px; border-top-right-radius: 8px; } header h1 { margin: 0; font-size: 2.2em; font-weight: 700; } .calculator-section { width: 100%; padding: 30px 0; border-bottom: 1px solid #eee; } .calculator-section:last-of-type { border-bottom: none; } .loan-calc-container { width: 100%; max-width: 600px; margin: 0 auto; } h2, h3 { color: #004a99; text-align: center; margin-bottom: 25px; } .input-group { margin-bottom: 20px; width: 100%; text-align: left; } .input-group label { display: block; margin-bottom: 8px; font-weight: 600; color: #555; } .input-group input[type="number"], .input-group input[type="text"], .input-group select { width: calc(100% – 24px); padding: 12px; border: 1px solid #ccc; border-radius: 5px; font-size: 1em; box-sizing: border-box; transition: border-color 0.3s ease; } .input-group input[type="number"]:focus, .input-group input[type="text"]:focus, .input-group select:focus { border-color: #007bff; outline: none; } .input-group .helper-text { font-size: 0.85em; color: #6c757d; margin-top: 5px; display: block; } .error-message { color: #dc3545; font-size: 0.9em; margin-top: 5px; display: none; /* Hidden by default */ } .button-group { text-align: center; margin-top: 30px; } button { background-color: #004a99; color: white; border: none; padding: 12px 25px; margin: 5px; border-radius: 5px; cursor: pointer; font-size: 1em; transition: background-color 0.3s ease; } button:hover { background-color: #003366; } button#resetBtn { background-color: #6c757d; } button#resetBtn:hover { background-color: #5a6268; } #results { margin-top: 30px; padding: 25px; background-color: #e9ecef; border-radius: 8px; text-align: center; border: 1px solid #d6d8db; } #results h3 { margin-bottom: 15px; color: #004a99; } .primary-result { font-size: 2.5em; font-weight: 700; color: #28a745; margin-bottom: 15px; display: block; } .intermediate-results p { margin: 8px 0; font-size: 1.1em; } .formula-explanation { font-size: 0.95em; color: #555; margin-top: 15px; padding-top: 15px; border-top: 1px dashed #ccc; } #copyBtn { background-color: #17a2b8; } #copyBtn:hover { background-color: #117a8b; } .chart-container, .table-container { width: 100%; max-width: 600px; margin: 30px auto; background-color: #fdfdfd; padding: 20px; border-radius: 8px; box-shadow: 0 1px 5px rgba(0,0,0,0.05); } canvas { display: block; width: 100% !important; height: auto !important; border-radius: 5px; } table { width: 100%; border-collapse: collapse; margin-top: 15px; } th, td { padding: 10px; text-align: left; border: 1px solid #ddd; } th { background-color: #004a99; color: white; font-weight: 600; } tr:nth-child(even) { background-color: #f2f2f2; } caption { font-size: 1.1em; font-weight: 600; color: #004a99; margin-bottom: 10px; text-align: left; } .article-content { width: 100%; max-width: 960px; margin: 30px auto; padding: 0 15px; } .article-content h2 { text-align: left; font-size: 1.8em; margin-top: 30px; color: #004a99; } .article-content h3 { text-align: left; font-size: 1.4em; margin-top: 25px; color: #0056b3; } .article-content p, .article-content ul, .article-content ol { margin-bottom: 15px; font-size: 1.05em; } .article-content ul, .article-content ol { padding-left: 30px; } .article-content li { margin-bottom: 8px; } .article-content a { color: #007bff; text-decoration: none; } .article-content a:hover { text-decoration: underline; } .faq-item { margin-bottom: 15px; padding: 10px; border-left: 3px solid #004a99; background-color: #f9f9f9; border-radius: 4px; } .faq-item strong { color: #004a99; } .primary-keyword { font-weight: bold; color: #004a99; } .related-tools { margin-top: 30px; padding: 20px; background-color: #eef7ff; border-radius: 8px; border: 1px solid #cfe2ff; } .related-tools h3 { text-align: left; margin-bottom: 15px; color: #004a99; } .related-tools ul { list-style: none; padding: 0; } .related-tools li { margin-bottom: 10px; } .related-tools li a { color: #004a99; font-weight: 600; } .related-tools li p { font-size: 0.95em; color: #555; margin-top: 4px; } .summary { text-align: center; margin-bottom: 20px; font-size: 1.1em; color: #555; } .chart-legend { text-align: center; margin-top: 10px; font-size: 0.9em; color: #555; }

Pace Weight Calculator

Calculate how your current weight impacts your running pace and explore potential improvements by adjusting your weight.

Running Pace & Weight Calculator

Enter your current body weight.
Enter your desired body weight.
Your current average pace in minutes.
Your current average pace in seconds.
The distance of your run (e.g., in km or miles).
Kilometer (km) Mile (mi) Select the unit for your distance.

Your Pace Improvement Analysis

Weight Change:

Estimated Pace Improvement per kg/lb lost:

Time Saved on :

Estimated Target Pace:

Formula Used: This calculator estimates pace improvement based on the general rule of thumb that for every kilogram of weight lost, a runner can improve their pace by approximately 2-3 seconds per kilometer (or 3-5 seconds per mile). The calculation then projects this improvement over the specified distance and estimates a new pace.

Pace vs. Weight Comparison

Series 1: Current Pace

Series 2: Estimated Target Pace

Pace Weight Impact Summary
Metric Value Unit
Current Weight N/A N/A
Target Weight N/A N/A
Weight Change N/A N/A
Current Pace N/A N/A
Estimated Target Pace N/A N/A
Time Saved N/A N/A

What is Pace Weight Calculation?

The pace weight calculator is a specialized tool designed to help runners quantify the relationship between their body weight and their running speed. It allows individuals to estimate how much their running pace might improve if they lose or gain a certain amount of weight. This understanding is crucial for setting realistic performance goals, optimizing training strategies, and appreciating the physiological impact of body composition on athletic endeavors. It's not just about how fast you can run; it's about understanding the contributing factors that influence that speed, with body weight being a significant one.

Who should use it: Primarily, runners of all levels—from casual joggers to competitive athletes—can benefit from using a pace weight calculator. Marathoners looking to shave off minutes, sprinters aiming for a new personal best, or even fitness enthusiasts wanting to understand their body's efficiency will find this tool insightful. Anyone interested in the biomechanics of running and how body mass affects performance can leverage its estimations. It's particularly useful for those who have experienced weight fluctuations and noticed corresponding changes in their running performance.

Common misconceptions: A key misconception is that weight loss directly and linearly translates to predictable speed gains for everyone. While the calculator provides an estimate, individual results vary greatly. Factors like running form, training consistency, nutrition, muscle mass retention, and genetics play equally important roles. Another misconception is that it's only about losing weight; gaining muscle mass while maintaining a healthy weight can also improve running economy. Lastly, some might believe achieving a specific pace solely depends on weight, overlooking the critical role of cardiovascular fitness and endurance training.

Pace Weight Calculation Formula and Mathematical Explanation

The core of the pace weight calculator relies on an empirical observation rather than a single, universally accepted physics formula like F=ma. The most commonly cited estimation suggests that for every kilogram of body weight lost, a runner can expect to improve their pace by approximately 2 to 3 seconds per kilometer. For miles, this translates to roughly 3 to 5 seconds per mile. Our calculator uses a simplified model based on this principle:

Estimated Pace Improvement per Unit of Weight Lost:

PaceImprovementRate = (WeightLoss * SecondsPerUnitWeight) / Distance

Where:

  • WeightLoss: The difference between current weight and target weight (Current Weight – Target Weight).
  • SecondsPerUnitWeight: A factor representing seconds of pace improvement per kilogram (or pound) lost. We use a common average of 2.5 seconds/kg/km or 4 seconds/lb/mile.
  • Distance: The distance over which the pace is measured.

Estimated Target Pace Calculation:

First, we need to convert the current pace into a consistent unit, like seconds per kilometer or mile.

CurrentTotalSeconds = (CurrentPaceMinutes * 60) + CurrentPaceSeconds

Then, we calculate the total seconds saved over the distance based on the weight loss and the improvement rate:

TotalSecondsSaved = WeightLoss * SecondsPerUnitWeight * (Distance / UnitOfDistanceWeight)

(Where UnitOfDistanceWeight is 1 kg for km, or 1 lb for mile. For simplicity, the calculator directly applies the per-distance improvement factor.)

EstimatedTargetPaceSeconds = CurrentTotalSeconds - (WeightLoss * SecondsPerUnitWeight * Distance)

Finally, we convert this back into minutes and seconds.

Variable Explanations

Variable Meaning Unit Typical Range
Current Weight The runner's current body mass. Kilograms (kg) or Pounds (lb) 20 – 200+ (kg/lb)
Target Weight The runner's desired body mass. Kilograms (kg) or Pounds (lb) 20 – 200+ (kg/lb)
Weight Change Difference between current and target weight. Kilograms (kg) or Pounds (lb) Varies
Current Pace (Minutes) Whole minutes part of the current running pace. Minutes 1 – 15+
Current Pace (Seconds) Seconds part of the current running pace. Seconds 0 – 59
Distance The length of the run being analyzed. Kilometers (km) or Miles (mi) 0.1 – 100+
Distance Unit Unit of measurement for distance. km or mi km, mi
Estimated Target Pace Projected running pace after weight adjustment. Minutes:Seconds per km/mi Varies
Time Saved Estimated reduction in total time for the distance. Minutes:Seconds Varies
SecondsPerUnitWeight Empirical factor for pace improvement per unit weight loss. Seconds/kg/km or Seconds/lb/mile 2-3 (for kg/km), 3-5 (for lb/mile)

Practical Examples (Real-World Use Cases)

Here are a couple of scenarios demonstrating how the pace weight calculator can be used:

Example 1: Competitive Runner Aiming for a 10k PR

Scenario: Sarah is a dedicated runner training for a 10k race. Her current weight is 68 kg, and her goal is to reach 65 kg. Her current average pace for 10k runs is 5 minutes and 15 seconds per kilometer (5:15/km). She wants to know how this weight loss might affect her race time.

Inputs:

  • Current Weight: 68 kg
  • Target Weight: 65 kg
  • Current Pace: 5 minutes, 15 seconds (per km)
  • Distance: 10 km
  • Distance Unit: km

Calculation:

  • Weight Loss = 68 kg – 65 kg = 3 kg
  • Current Pace in Seconds = (5 * 60) + 15 = 315 seconds/km
  • Estimated Improvement per kg: Let's use 2.5 sec/km/kg
  • Total Seconds Saved = 3 kg * 2.5 sec/km/kg * 10 km = 75 seconds
  • Estimated Target Pace in Seconds = 315 seconds/km – (2.5 sec/km/kg * 3 kg) = 315 – 7.5 = 307.5 seconds/km
  • Estimated Target Pace = 307.5 seconds/km ≈ 5 minutes, 7.5 seconds/km
  • Total Time Saved for 10k = 75 seconds ≈ 1 minute, 15 seconds

Interpretation: If Sarah achieves her target weight of 65 kg, she can estimate her 10k pace improving to around 5:07.5/km, potentially saving over a minute on her overall race time. This provides a tangible performance goal tied to her weight loss efforts.

Example 2: Recreational Runner Focusing on Fitness

Scenario: John enjoys running 3 miles (approx 4.8 km) three times a week. He weighs 180 lbs and is interested in losing about 5 lbs to feel fitter. His current average pace is 9 minutes and 30 seconds per mile (9:30/mile).

Inputs:

  • Current Weight: 180 lbs
  • Target Weight: 175 lbs
  • Current Pace: 9 minutes, 30 seconds (per mile)
  • Distance: 3 miles
  • Distance Unit: mile

Calculation:

  • Weight Loss = 180 lbs – 175 lbs = 5 lbs
  • Current Pace in Seconds = (9 * 60) + 30 = 570 seconds/mile
  • Estimated Improvement per lb: Let's use 4 sec/mile/lb
  • Total Seconds Saved Over 3 Miles = 5 lbs * 4 sec/mile/lb * 3 miles = 60 seconds
  • Estimated Improvement per Mile = 4 sec/mile/lb * 5 lbs = 20 seconds/mile
  • Estimated Target Pace in Seconds = 570 seconds/mile – 20 seconds/mile = 550 seconds/mile
  • Estimated Target Pace = 550 seconds/mile ≈ 9 minutes, 10 seconds/mile
  • Total Time Saved for 3 Miles = 60 seconds = 1 minute

Interpretation: For John, losing 5 lbs could make his 3-mile runs about a minute faster, bringing his pace down to approximately 9:10/mile. This might translate to feeling less exertion and greater confidence in his fitness progress.

How to Use This Pace Weight Calculator

Using the pace weight calculator is straightforward. Follow these steps to get your personalized insights:

  1. Enter Current Weight: Input your current body weight in the designated field. Make sure to select the correct unit (kg or lb) if applicable, or ensure consistency if units are separate.
  2. Enter Target Weight: Input the weight you aim to achieve. This could be a weight loss goal or a maintenance weight.
  3. Input Current Pace: Enter your current running pace. You'll need to provide both the minutes and seconds per distance unit (km or mile). Be as accurate as possible, perhaps using data from a recent timed run or a running app.
  4. Specify Distance: Enter the distance for which you want to analyze your pace. This could be a standard race distance (5k, 10k, half marathon) or a typical training run distance.
  5. Select Distance Unit: Choose whether your distance is measured in kilometers (km) or miles (mi).
  6. Click Calculate: Once all fields are filled, click the "Calculate" button.

How to read results: The calculator will display:

  • Primary Result: Your estimated target pace after achieving the target weight.
  • Weight Change: The total amount of weight you are projecting to lose or gain.
  • Estimated Pace Improvement: The projected improvement in seconds per kilometer or mile for each unit of weight lost.
  • Time Saved: The total estimated time reduction for the specified distance.
  • Chart & Table: Visual and tabular representations comparing current and projected metrics.

Decision-making guidance: Use these results as a motivational tool and a guide. If the projected improvement aligns with your goals, it can reinforce your commitment to a healthy weight management plan. Remember that these are estimations. Focus on sustainable, healthy weight loss or maintenance alongside consistent training for the best results. Consult with healthcare professionals or certified running coaches for personalized advice.

Key Factors That Affect Pace Weight Results

While the pace weight calculator offers valuable estimations, several other factors significantly influence actual running performance:

  1. Training Consistency and Volume: Regular, structured training is paramount. Simply losing weight without adapting your running schedule may not yield the expected pace improvements. Increased mileage and intensity training are crucial for building endurance and speed.
  2. Running Form and Efficiency: How efficiently you run plays a massive role. Improving biomechanics, stride length, and cadence can lead to significant speed gains independent of weight. A more efficient form reduces wasted energy.
  3. Muscle Mass vs. Fat Mass: The calculator assumes weight lost is primarily fat. Losing muscle mass can negatively impact strength and power, potentially offsetting any benefits from reduced overall weight. A healthy approach focuses on fat loss while preserving or building muscle.
  4. Cardiovascular Fitness: Your heart and lungs' efficiency determines your aerobic capacity. Improving VO2 max and lactate threshold through targeted training is critical for sustaining faster paces over distance.
  5. Nutrition and Hydration: Proper fueling supports training intensity and recovery. Dehydration can impair performance significantly, while a balanced diet is essential for energy levels and body composition.
  6. Genetics and Individual Physiology: People respond differently to training and weight changes. Factors like metabolism, natural body type, and inherent physiological traits influence how quickly and effectively one can improve their running pace.
  7. Environmental Conditions: Race day conditions such as temperature, humidity, altitude, and course terrain can affect performance, sometimes overriding calculated improvements based on weight alone.
  8. Mental State and Pacing Strategy: Psychological factors like motivation, race-day confidence, and the ability to execute a well-planned pacing strategy are crucial for achieving optimal performance.

Frequently Asked Questions (FAQ)

Q1: Is the 2-3 seconds per km improvement per kg lost always accurate?

A1: This is a widely used rule of thumb, but it's an estimation. The actual improvement can vary significantly based on individual physiology, training level, and the type of weight lost (fat vs. muscle). Elite runners might see larger gains, while beginners might see smaller ones initially.

Q2: Should I focus solely on weight loss for running improvement?

A2: No. While weight management is beneficial, it should be part of a holistic training approach. Improving cardiovascular fitness, running economy, strength, and consistency often yield more significant and sustainable performance gains.

Q3: What if I gain muscle mass instead of losing fat?

A3: Gaining muscle can increase weight but improve running economy and power, potentially leading to faster paces even if the scale doesn't change dramatically or even increases. This calculator primarily models the effect of reducing body mass, assuming it's largely fat.

Q4: How quickly should I aim to lose weight for running benefits?

A4: Sustainable and healthy weight loss is typically recommended at 1-2 pounds (0.5-1 kg) per week. Rapid weight loss can lead to muscle loss, fatigue, and potential injury, negating performance benefits.

Q5: Does this calculator work for all distances?

A5: The underlying principle is generally applied across different distances, but the impact might be more pronounced over longer distances where body weight is a greater factor in sustained effort. The calculator allows you to input any distance.

Q6: What are the units for the pace improvement factor?

A6: The calculator is designed to be flexible. If you input weight in kg and distance in km, it assumes an improvement factor suitable for those units (e.g., ~2.5 sec/kg/km). If you use lbs and miles, it adjusts accordingly (e.g., ~4 sec/lb/mile).

Q7: Can I use this if I'm trying to gain weight (e.g., muscle)?

A7: The calculator is primarily designed for estimating improvements from weight loss. If you are gaining weight, especially muscle, the impact on pace is complex and might not be accurately predicted by this model. Focus on strength training and performance metrics.

Q8: How accurate are the time saved calculations?

A8: The "Time Saved" is an estimate derived directly from the estimated pace improvement. Like the target pace, it's a projection based on the general rule of thumb and should be viewed as a potential outcome rather than a guarantee.

Related Tools and Internal Resources

var currentWeightInput = document.getElementById('currentWeight'); var targetWeightInput = document.getElementById('targetWeight'); var currentPaceMinutesInput = document.getElementById('currentPaceMinutes'); var currentPaceSecondsInput = document.getElementById('currentPaceSeconds'); var distanceInput = document.getElementById('distance'); var distanceUnitSelect = document.getElementById('distanceUnit'); var resultsDiv = document.getElementById('results'); var primaryResultSpan = document.getElementById('primaryResult'); var weightChangeSpan = document.getElementById('weightChange'); var paceImprovementPerUnitSpan = document.getElementById('paceImprovementPerUnit'); var distanceForTimeSavedSpan = document.getElementById('distanceForTimeSaved'); var timeSavedSpan = document.getElementById('timeSaved'); var estimatedTargetPaceSpan = document.getElementById('estimatedTargetPace'); var tableCurrentWeight = document.getElementById('tableCurrentWeight'); var tableTargetWeight = document.getElementById('tableTargetWeight'); var tableWeightChange = document.getElementById('tableWeightChange'); var tableCurrentPace = document.getElementById('tableCurrentPace'); var tableEstimatedTargetPace = document.getElementById('tableEstimatedTargetPace'); var tableTimeSaved = document.getElementById('tableTimeSaved'); var tableCurrentWeightUnit = document.getElementById('tableCurrentWeightUnit'); var tableTargetWeightUnit = document.getElementById('tableTargetWeightUnit'); var tableWeightChangeUnit = document.getElementById('tableWeightChangeUnit'); var tableCurrentPaceUnit = document.getElementById('tableCurrentPaceUnit'); var tableEstimatedTargetPaceUnit = document.getElementById('tableEstimatedTargetPaceUnit'); var tableTimeSavedUnit = document.getElementById('tableTimeSavedUnit'); var chart; var chartContext; function validateInput(inputElement, errorElement, minValue, maxValue, unitLabel) { var value = parseFloat(inputElement.value); var errorSpan = document.getElementById(errorElement); errorSpan.style.display = 'none'; inputElement.style.borderColor = '#ccc'; if (isNaN(value)) { errorSpan.textContent = 'Please enter a valid number.'; errorSpan.style.display = 'block'; inputElement.style.borderColor = '#dc3545'; return false; } if (value = parseFloat(currentWeightInput.value)) { errorSpan.textContent = 'Target weight should generally be less than current weight for pace improvement.'; errorSpan.style.display = 'block'; inputElement.style.borderColor = '#dc3545'; return false; } if (minValue !== undefined && value maxValue) { errorSpan.textContent = 'Value cannot be more than ' + maxValue + ' ' + unitLabel + '.'; errorSpan.style.display = 'block'; inputElement.style.borderColor = '#dc3545'; return false; } return true; } function formatPace(totalSeconds) { var minutes = Math.floor(totalSeconds / 60); var seconds = Math.round((totalSeconds % 60) * 10) / 10; if (seconds === 60) { minutes += 1; seconds = 0; } return minutes + ':' + (seconds < 10 ? '0' : '') + seconds; } function formatTime(totalSeconds) { var minutes = Math.floor(totalSeconds / 60); var seconds = Math.round(totalSeconds % 60); if (seconds input.style.borderColor = '#ccc'); // Validation var isValid = true; isValid &= validateInput(currentWeightInput, 'currentWeightError', 1, 500, 'kg/lb'); isValid &= validateInput(targetWeightInput, 'targetWeightError', 1, 500, 'kg/lb'); isValid &= validateInput(currentPaceMinutesInput, 'currentPaceMinutesError', 0, 60, 'min'); isValid &= validateInput(currentPaceSecondsInput, 'currentPaceSecondsError', 0, 59, 'sec'); isValid &= validateInput(distanceInput, 'distanceError', 0.1, 1000, 'km/mi'); if (!isValid) { resultsDiv.style.display = 'none'; return; } var currentWeight = parseFloat(currentWeightInput.value); var targetWeight = parseFloat(targetWeightInput.value); var currentPaceMinutes = parseFloat(currentPaceMinutesInput.value); var currentPaceSeconds = parseFloat(currentPaceSecondsInput.value); var distance = parseFloat(distanceInput.value); var distanceUnit = distanceUnitSelect.value; var weightChange = currentWeight – targetWeight; var distanceUnitLabel = distanceUnit === 'km' ? 'km' : 'mi'; var weightUnitLabel = 'kg'; // Defaulting to kg for calculation simplicity, then adapt for display var secondsPerUnitWeight; var paceImprovementPerUnitDisplay; var weightUnitForDisplay = 'kg'; if (distanceUnit === 'km') { secondsPerUnitWeight = 2.5; // Avg seconds improvement per kg per km paceImprovementPerUnitDisplay = secondsPerUnitWeight + ' sec/km per kg'; weightUnitForDisplay = 'kg'; } else { // miles // Convert weight to lbs if it was entered in kg for miles calculation logic if (currentWeightInput.getAttribute('data-unit') === 'kg') { // Check if kg was explicitly set currentWeight = currentWeight * 2.20462; targetWeight = targetWeight * 2.20462; weightChange = currentWeight – targetWeight; } secondsPerUnitWeight = 4; // Avg seconds improvement per lb per mile paceImprovementPerUnitDisplay = secondsPerUnitWeight + ' sec/mile per lb'; weightUnitForDisplay = 'lb'; } // Ensure calculations use consistent units if needed, though logic is adapted via secondsPerUnitWeight factor // The current logic correctly applies the factor based on distanceUnit selection. var currentTotalSeconds = (currentPaceMinutes * 60) + currentPaceSeconds; var estimatedImprovementPerDistanceUnit = secondsPerUnitWeight * weightChange; // Total improvement across the distance for the total weight lost var estimatedTargetPaceTotalSeconds = currentTotalSeconds – estimatedImprovementPerDistanceUnit; var totalSecondsSaved = currentTotalSeconds – estimatedTargetPaceTotalSeconds; var primaryResultPace = formatPace(estimatedTargetPaceTotalSeconds); var weightChangeDisplay = weightChange.toFixed(1) + ' ' + weightUnitForDisplay; var timeSavedDisplay = formatTime(totalSecondsSaved); var estimatedTargetPaceDisplay = primaryResultPace + ' per ' + distanceUnitLabel; primaryResultSpan.textContent = estimatedTargetPaceDisplay; weightChangeSpan.textContent = weightChangeDisplay; paceImprovementPerUnitSpan.textContent = paceImprovementPerUnitDisplay; distanceForTimeSavedSpan.textContent = distance + ' ' + distanceUnitLabel; timeSavedSpan.textContent = timeSavedDisplay; estimatedTargetPaceSpan.textContent = estimatedTargetPaceDisplay; resultsDiv.style.display = 'block'; updateTable(currentWeight, targetWeight, weightChange, weightUnitForDisplay, currentTotalSeconds, estimatedTargetPaceTotalSeconds, totalSecondsSaved, distanceUnitLabel); updateChart(currentWeight, targetWeight, currentTotalSeconds, estimatedTargetPaceTotalSeconds); } function updateTable(currentW, targetW, weightChg, weightUnit, currentTotalSec, targetTotalSec, timeSv, distUnit) { tableCurrentWeight.textContent = currentW.toFixed(1); tableCurrentWeightUnit.textContent = weightUnit; tableTargetWeight.textContent = targetW.toFixed(1); tableTargetWeightUnit.textContent = weightUnit; tableWeightChange.textContent = weightChg.toFixed(1); tableWeightChangeUnit.textContent = weightUnit; tableCurrentPace.textContent = formatPace(currentTotalSec); tableCurrentPaceUnit.textContent = '/' + distUnit; tableEstimatedTargetPace.textContent = formatPace(targetTotalSec); tableEstimatedTargetPaceUnit.textContent = '/' + distUnit; tableTimeSaved.textContent = formatTime(timeSv); tableTimeSavedUnit.textContent = 'for ' + distanceInput.value + ' ' + distUnit; } function updateChart(currentW, targetW, currentPaceSec, targetPaceSec) { var distanceUnit = distanceUnitSelect.value; var chartDistance = parseFloat(distanceInput.value); var chartLabelUnit = distanceUnit === 'km' ? 'km' : 'mi'; var dataPoints = 5; var weightStep = (targetW – currentW) / (dataPoints – 1); var weightLabels = []; var currentPaceSeries = []; var targetPaceSeries = []; var secondsPerUnitWeight; if (distanceUnit === 'km') { secondsPerUnitWeight = 2.5; } else { // miles secondsPerUnitWeight = 4; } for (var i = 0; i < dataPoints; i++) { var currentWeightPoint = currentW + i * weightStep; // Ensure we don't go below a reasonable minimum weight if (currentWeightPoint < 1) currentWeightPoint = 1; weightLabels.push(currentWeightPoint.toFixed(1)); // Calculate pace for this weight point var paceImprovement = (currentW – currentWeightPoint) * secondsPerUnitWeight; var calculatedPaceSec = currentPaceSec – paceImprovement; // Ensure pace doesn't go below zero or become unrealistic if (calculatedPaceSec < 30) calculatedPaceSec = 30; // Min pace ~0:30 currentPaceSeries.push(calculatedPaceSec); targetPaceSeries.push(calculatedPaceSec); // For this graph, we'll show the calculated pace against weight } // Adjust target pace series to reflect the *final* target pace over the distance // This part is tricky for a simple weight vs pace chart. Let's simplify: // Chart shows pace degradation as weight increases from target to current. // Series 1: Pace at Current Weight // Series 2: Pace at Target Weight // Intermediate points show how pace changes linearly with weight loss. var chartCurrentPacePoints = []; var chartTargetPacePoints = []; var chartWeightPoints = []; var numChartPoints = 10; var weightIncrement = (currentW – targetW) / (numChartPoints -1); for(var i = 0; i < numChartPoints; i++){ var pointWeight = targetW + i * weightIncrement; if(pointWeight < 1) pointWeight = 1; // Avoid unrealistic weights chartWeightPoints.push(pointWeight.toFixed(1)); var weightDiff = currentW – pointWeight; var improvement = weightDiff * secondsPerUnitWeight; var calculatedPace = currentPaceSec – improvement; if (calculatedPace input.style.borderColor = '#ccc'); resultsDiv.style.display = 'none'; if (chart) { chart.destroy(); chart = null; } } function copyResults() { var resultsText = "Pace Weight Calculator Results:\n\n"; resultsText += "Primary Result (Estimated Target Pace): " + primaryResultSpan.textContent + "\n"; resultsText += "Weight Change: " + weightChangeSpan.textContent + "\n"; resultsText += "Estimated Pace Improvement per Unit Weight: " + paceImprovementPerUnitSpan.textContent + "\n"; resultsText += "Time Saved on " + distanceForTimeSavedSpan.textContent + ": " + timeSavedSpan.textContent + "\n"; resultsText += "Key Assumptions:\n"; resultsText += "- Pace improvement factor used: (based on distance unit)\n"; resultsText += "- Calculations are estimations and individual results may vary.\n\n"; // Add table data resultsText += "Summary Table:\n"; var tableRows = document.querySelectorAll('#resultsTableBody tr'); tableRows.forEach(function(row) { var cells = row.querySelectorAll('td'); if (cells.length === 2) { // Handle header rows if any resultsText += cells[0].textContent.trim() + ": " + cells[1].textContent.trim() + "\n"; } else if (cells.length === 3) { resultsText += cells[0].textContent.trim() + ": " + cells[1].textContent.trim() + " " + cells[2].textContent.trim() + "\n"; } }); try { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }, function(err) { console.error('Failed to copy results: ', err); alert('Failed to copy results. Please copy manually.'); }); } catch (e) { console.error('Clipboard API not available: ', e); alert('Clipboard API not available. Please copy results manually.'); } } // Initial calculation on load or sensible defaults // resetCalculator(); // Call reset to set defaults and clear any existing calculations // calculatePace(); // Optionally calculate immediately with defaults // Add event listeners for real-time updates (optional, can trigger on blur or button click) var inputFields = [currentWeightInput, targetWeightInput, currentPaceMinutesInput, currentPaceSecondsInput, distanceInput, distanceUnitSelect]; inputFields.forEach(function(field) { field.addEventListener('input', function() { // Basic validation and attempt calculation if(currentWeightInput.value !== " && targetWeightInput.value !== " && currentPaceMinutesInput.value !== " && currentPaceSecondsInput.value !== " && distanceInput.value !== ") { // Only calculate if all required fields have some value // More robust validation happens in calculatePace() // calculatePace(); // Uncomment for real-time calculation } }); field.addEventListener('change', calculatePace); // Calculate on change for select }); // Trigger calculation when pressing Enter in numeric fields var numericInputs = [currentWeightInput, targetWeightInput, currentPaceMinutesInput, currentPaceSecondsInput, distanceInput]; numericInputs.forEach(function(input) { input.addEventListener('keypress', function(event) { if (event.key === 'Enter') { calculatePace(); } }); }); // Initialize chart generation function initChart() { if (typeof Chart !== 'undefined') { updateChart(parseFloat(currentWeightInput.value) || 70, parseFloat(targetWeightInput.value) || 65, (parseFloat(currentPaceMinutesInput.value)*60 + parseFloat(currentPaceSecondsInput.value)) || 330, (parseFloat(targetWeightInput.value) > 0 ? (parseFloat(currentPaceMinutesInput.value)*60 + parseFloat(currentPaceSecondsInput.value)) – ( (parseFloat(currentWeightInput.value) – parseFloat(targetWeightInput.value)) * (distanceUnitSelect.value === 'km' ? 2.5 : 4) ) : 330) ); } else { console.error("Chart.js library not found. Please ensure it's included."); } } // Dynamically load Chart.js if not present and then initialize if (typeof Chart === 'undefined') { var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js'; script.onload = function() { initChart(); }; document.head.appendChild(script); } else { initChart(); // Chart.js is already loaded }

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