Weight Running Pace Calculator

Weight Running Pace Calculator – Optimize Your Running Speed :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ccc; –card-background: #ffffff; –shadow-color: rgba(0, 0, 0, 0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); margin: 0; padding: 20px; line-height: 1.6; } .container { max-width: 960px; margin: 0 auto; background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: 0 4px 15px var(–shadow-color); } h1, h2, h3 { color: var(–primary-color); text-align: center; margin-bottom: 20px; } h1 { font-size: 2.5em; margin-bottom: 40px; } h2 { font-size: 1.8em; margin-top: 30px; border-bottom: 2px solid var(–primary-color); padding-bottom: 10px; } h3 { font-size: 1.3em; margin-top: 25px; } .calculator-wrapper { background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: 0 2px 10px var(–shadow-color); 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Weight Running Pace Calculator

Running Pace & Weight Calculator

Enter the running distance.
Kilometers (km) Miles (mi) Select the unit for distance.
Your weight before running.
Kilograms (kg) Pounds (lbs) Select the unit for weight.
Amount of weight lost during or after running.
Total time taken to cover the distance.
Additional seconds for more precision.

Your Running Pace Results

Pace (per km/mi)
Pace (per mile)
Speed
How it's Calculated: Pace is calculated by dividing the total time by the total distance. Speed is the inverse of pace (distance per unit time). Weight loss can influence pace by reducing the load on the body, theoretically allowing for a faster pace.

Weight Running Pace Calculator: Formula and Mathematical Explanation

The weight running pace calculator is a tool designed to help runners understand how their running pace might be affected by changes in their body weight. While many factors influence running performance, body weight is a significant one. Lighter runners generally expend less energy to cover the same distance compared to heavier runners, assuming similar biomechanics and effort. This calculator focuses on the relationship between distance, time, and resulting pace, and how weight loss can be a contributing factor to improved pace.

The Core Calculation

The fundamental calculations involve determining speed and pace. The impact of weight is an inference based on established biomechanical principles.

Pace Calculation:

Pace is typically expressed as time taken per unit of distance (e.g., minutes per kilometer or minutes per mile).

Pace = Total Time / Total Distance

Speed Calculation:

Speed is the distance covered per unit of time (e.g., kilometers per hour or miles per hour).

Speed = Total Distance / Total Time

Weight Conversion (if needed):

To ensure consistent calculations, weights are converted to a standard unit (kilograms) if entered in pounds, and distances to kilometers if entered in miles.

Relationship Between Weight and Pace

While this calculator doesn't directly model the complex physiological changes, the principle is that a reduction in body weight (especially excess body fat) reduces the energy cost of running. This means a runner may be able to maintain the same effort level and achieve a faster pace, or cover the same distance in less time.

Variables Used

Here's a breakdown of the variables involved in the weight running pace calculator:

Variable Definitions
Variable Meaning Unit Typical Range
Distance The total length of the run. Kilometers (km) or Miles (mi) 0.1 km – 100 km (or equivalent miles)
Initial Weight The runner's weight before the run or weight loss period. Kilograms (kg) or Pounds (lbs) 30 kg – 200 kg (or equivalent lbs)
Weight Lost The amount of weight shed. Kilograms (kg) or Pounds (lbs) 0.1 kg – 50 kg (or equivalent lbs)
Total Time The total duration of the run. Minutes and Seconds 00:01 – 120:00 (or longer)
Pace (per km/mi) Time taken to run one kilometer or one mile. Minutes:Seconds per km/mi 01:00 – 15:00 per km/mi
Pace (per mile) Time taken to run one mile (standardized output). Minutes:Seconds per mile 01:00 – 15:00 per mile
Speed Distance covered per hour. Kilometers per Hour (km/h) or Miles per Hour (mph) 5 km/h – 25 km/h (or equivalent mph)

Practical Examples of Using the Weight Running Pace Calculator

Understanding the practical application of the weight running pace calculator can help runners set realistic goals and track progress. Here are a couple of scenarios:

Example 1: Tracking Marathon Training Progress

Scenario: Sarah is training for a marathon. She weighs 70 kg and typically runs her long training runs (15 km) at a pace of 6:00 minutes per kilometer. She has been focusing on diet and exercise to lose weight and has recently lost 3 kg, now weighing 67 kg. She completed a 15 km run in 1 hour and 28 minutes (90 minutes).

Inputs:

  • Distance: 15 km
  • Initial Weight: 70 kg
  • Weight Lost: 3 kg
  • Time: 1 hour 28 minutes (88 minutes)

Calculator Output (hypothetical):

  • Pace (per km/mi): 5 minutes 52 seconds / km
  • Pace (per mile): 9 minutes 26 seconds / mile
  • Speed: 10.2 km/h

Interpretation: After losing 3 kg, Sarah's pace has improved from 6:00 min/km to 5:52 min/km over the same distance and time. This 8-second improvement per kilometer, sustained over 15 km, demonstrates the positive impact of weight loss on her running efficiency. This suggests her training is effective and her reduced weight is contributing to better performance.

Example 2: Evaluating a 5k Race Performance

Scenario: John ran a 5k race. He weighed 85 kg before the race and aimed to improve his time. He finished the 5k in 25 minutes and 30 seconds. He has been consistently losing weight and now weighs 83 kg.

Inputs:

  • Distance: 5 km
  • Initial Weight: 85 kg
  • Weight Lost: 2 kg
  • Time: 25 minutes 30 seconds

Calculator Output (hypothetical):

  • Pace (per km/mi): 5 minutes 6 seconds / km
  • Pace (per mile): 8 minutes 8 seconds / mile
  • Speed: 11.8 km/h

Interpretation: John's average pace is 5:06 min/km. If he knows his previous 5k pace at 85 kg was, for instance, 5:20 min/km, this result indicates a significant improvement directly attributable to his recent weight loss and possibly his training. The weight running pace calculator helps quantify this improvement.

How to Use This Weight Running Pace Calculator

Using the weight running pace calculator is straightforward and designed to provide quick insights into your running performance relative to your weight. Follow these simple steps:

Step-by-Step Instructions:

  1. Enter Distance: Input the total distance you ran or are planning to run. Select the appropriate unit (Kilometers or Miles).
  2. Enter Initial Weight: Provide your weight before the weight loss period or the run. Select the correct weight unit (Kilograms or Pounds).
  3. Enter Weight Lost: Specify the amount of weight you have lost. Ensure this unit matches your initial weight unit.
  4. Enter Total Time: Input the time it took you to complete the distance. You can enter this in minutes and seconds for accuracy.
  5. Calculate: Click the "Calculate Pace" button.

How to Read the Results:

  • Primary Result (Pace): This will display your calculated pace, typically in minutes and seconds per kilometer or mile, making it easy to compare with your previous performances or target paces.
  • Intermediate Values:
    • Pace (per km/mi): Your primary pace metric.
    • Pace (per mile): A standardized pace per mile, useful for global comparisons.
    • Speed: Your average speed during the run, shown in km/h or mph.
  • Formula Explanation: A brief description clarifies how the pace and speed were calculated, emphasizing the role of time and distance.

Decision-Making Guidance:

The results from the weight running pace calculator can inform your training and fitness strategy:

  • Performance Improvement: If your pace has significantly improved after losing weight, it validates your efforts. You can use this data to set new, more ambitious performance goals.
  • Training Adjustments: If you are aiming to lose weight to improve your pace, use the calculator to estimate potential improvements. For example, if you're aiming to lose 5 kg, you can input that hypothetical loss to see a projected pace improvement.
  • Health & Fitness Goals: The calculator reinforces the benefits of maintaining a healthy weight for runners. It can serve as motivation to continue with your weight management and running routines.
  • Benchmarking: Use the calculator to benchmark your performance over time. Track your pace changes as your weight fluctuates, providing a clear metric for progress.

Remember, while weight loss is a significant factor, it's not the only one. Factors like training intensity, nutrition, hydration, sleep, and running technique also play crucial roles. This tool provides a specific insight into the weight-performance relationship.

Key Factors That Affect Weight Running Pace Results

While the weight running pace calculator provides a clear output based on input values, several real-world factors can influence the actual relationship between weight and running pace. Understanding these nuances is critical for a comprehensive view of performance.

1. Body Composition:

It's not just the number on the scale that matters, but what constitutes that weight. Losing muscle mass along with fat can negatively impact performance, as muscle is crucial for power and endurance. Ideally, weight loss should primarily be from adipose (fat) tissue. The calculator assumes weight lost is beneficial, but actual impact depends on maintaining muscle.

2. Training Load and Consistency:

Running pace improvements are significantly driven by consistent and progressive training. If weight is lost but training volume or intensity drops, the expected pace improvement might not materialize. Conversely, even without significant weight loss, dedicated training can lead to faster paces.

3. Running Economy:

This refers to the amount of oxygen the body consumes at a given pace. A lighter body generally requires less oxygen, improving running economy. However, improvements in running form, stride efficiency, and muscle activation through training can also boost running economy independently of weight.

4. Biomechanics and Form:

As weight changes, a runner's center of gravity and stride mechanics might subtly shift. While beneficial weight loss often leads to better form, significant or rapid changes could potentially introduce new biomechanical stresses if not managed properly.

5. Nutrition and Hydration:

Adequate nutrition is vital for energy levels and muscle recovery. Drastic calorie restriction without proper nutrient intake can lead to fatigue and reduced performance, negating the benefits of weight loss. Proper hydration is also key for maintaining blood volume and preventing performance decrements.

6. Environmental Factors:

Factors like temperature, humidity, altitude, and terrain significantly affect perceived effort and actual pace. A runner might feel faster due to weight loss on a cool, flat course but struggle on a hot, hilly one, masking the underlying physiological benefits.

7. Cardiovascular and Muscular Fitness:

The improvements in pace seen with weight loss are synergistic with gains in cardiovascular fitness (heart and lung capacity) and muscular strength/endurance. Weight loss alone won't make a runner fast if their underlying physiological systems aren't trained adequately.

8. Pacing Strategy:

How a runner distributes their effort over a distance is crucial. A runner might be capable of a faster pace due to weight loss but still execute a poor pacing strategy, leading to a suboptimal finish time. The calculator shows potential, but race execution matters.

Frequently Asked Questions (FAQ)

Q1: How much faster can I run if I lose weight?
The exact improvement varies greatly depending on the individual, the amount of weight lost (especially fat vs. muscle), your current fitness level, and how efficiently your body uses energy. A general rule of thumb suggests about 2 seconds per mile faster for every pound of weight lost, but this is a simplification. Use the calculator to see projected changes based on your inputs.
Q2: Does this calculator account for muscle loss?
No, the calculator does not differentiate between fat and muscle loss. It calculates pace based on the total weight lost. For optimal running performance, it's crucial to lose body fat while preserving or even increasing muscle mass through strength training.
Q3: What is considered a "good" weight loss for runners?
Sustainable and healthy weight loss is typically around 1-2 pounds (0.5-1 kg) per week. Rapid or extreme weight loss can be detrimental to health and performance. Focus on a balanced diet and consistent training rather than just the number on the scale.
Q4: My pace didn't improve after losing weight. Why?
Several factors could be at play: insufficient training load, poor nutrition leading to fatigue, changes in body composition (losing muscle), environmental conditions, illness, or simply not losing enough weight to see a measurable difference. Also, ensure your time and distance inputs are accurate.
Q5: Should I weigh myself before every run?
Daily weigh-ins can fluctuate due to hydration, food intake, and other temporary factors. It's often more useful to track your weight weekly or bi-weekly to observe trends. Focus on consistent progress rather than daily variations.
Q6: Can the calculator predict future pace improvements?
The calculator can provide an estimate based on your current data and a projected weight loss. However, it's a theoretical model. Actual performance depends on many variables, including your training progression and how your body adapts.
Q7: What if I lose weight but my time stays the same?
This could indicate that while weight loss is beneficial, other factors are limiting your speed. You might need to increase your training intensity, improve your cardiovascular fitness, focus on running form, or adjust your pacing strategy.
Q8: Is it better to run faster or lose weight first?
Often, a combination is best. Improving your cardiovascular fitness through running can help burn calories, aiding weight loss. Simultaneously, focusing on a healthy diet supports both energy levels for running and fat loss. They can be pursued concurrently.
Q9: How does distance affect the impact of weight on pace?
The impact of weight becomes more pronounced over longer distances. Carrying extra weight requires more energy expenditure over time, so the benefits of losing weight are often magnified in marathons or ultra-marathons compared to short sprints.

Optimizing Your Running Performance with Weight Management

The relationship between body weight and running performance is a well-established principle in exercise science. For runners, shedding excess body fat can significantly improve efficiency, speed, and endurance. Our weight running pace calculator is a tool designed to quantify this potential improvement, allowing runners to see how weight loss might translate into faster paces and better times. However, understanding the broader context—including how to effectively lose weight, maintain muscle mass, and adjust training—is crucial for maximizing benefits and achieving running goals.

What is the Weight Running Pace Calculator?

The weight running pace calculator is a specialized online tool that estimates how a runner's pace might change based on their current weight, the distance covered, and the time taken. It calculates standard running metrics like pace (minutes per kilometer/mile) and speed (kilometers/miles per hour). While it doesn't directly model physiological changes, it operates on the principle that reducing the load (body weight) an athlete carries requires less energy to propel themselves forward, potentially leading to faster times.

Who should use it?

  • Runners aiming to improve their race times (e.g., for 5Ks, 10Ks, half marathons, marathons).
  • Individuals who are actively trying to lose weight for performance or health reasons.
  • Coaches and athletes looking to set realistic performance goals based on weight management.
  • Anyone curious about the quantifiable impact of body weight on running efficiency.

Common misconceptions:

  • "More weight loss equals exponentially faster times": While weight loss helps, the relationship isn't always linear, and other factors like training intensity become bottlenecks.
  • "Only losing weight matters": Preserving muscle mass is vital. Losing muscle can hinder performance.
  • "This calculator predicts exact race times": It provides an estimate based on inputs; actual race performance involves many more variables.

Weight Running Pace Calculator: Formula and Mathematical Explanation

The core functionality of the weight running pace calculator relies on basic physics and time-distance relationships. The impact of weight is an inferred benefit based on established biomechanical principles, not a direct input into a complex physiological model within the calculator itself.

Step-by-step derivation:

  1. Total Time Calculation: The calculator first consolidates the time input (minutes and seconds) into a single unit, usually total minutes or total seconds, for easier calculation.
  2. Unit Conversion (if necessary): If the distance unit is not kilometers or the weight unit is not kilograms, the calculator converts them internally to ensure consistency. For example, miles might be converted to kilometers, and pounds to kilograms.
  3. Pace Calculation (per unit distance): The primary pace is calculated by dividing the total time by the total distance. If distance is in km, this yields minutes per km.
    Pace (min/km) = Total Time (in minutes) / Distance (in km)
  4. Pace Calculation (per mile): A standardized pace per mile is calculated. If the input distance was in km, the pace per km is converted to pace per mile. If the input was miles, it's calculated directly.
    Pace (min/mile) = Pace (min/km) * 1.60934 (if converting from km)
  5. Speed Calculation: Speed is calculated by dividing the total distance by the total time. This is often converted to km/h or mph.
    Speed (km/h) = Distance (in km) / (Total Time (in hours))
    Total Time (in hours) = Total Time (in minutes) / 60

Variable Explanations:

  • Distance: The length of the run.
  • Distance Unit: km or mi.
  • Initial Weight: Runner's weight before weight loss.
  • Weight Unit: kg or lbs.
  • Weight Lost: Amount of weight shed.
  • Time (Minutes & Seconds): Duration of the run.
  • Pace (per km/mi): Time taken for one unit of distance.
  • Speed: Distance covered per hour.

The calculator essentially performs these arithmetic operations, providing a quantitative output. The "weight lost" input serves primarily as context for the runner's improved performance, assuming the loss is beneficial (e.g., fat loss).

Practical Examples (Real-World Use Cases)

The utility of the weight running pace calculator becomes clear through practical application:

  • Example 1: Marathon Training Goal Setting

    A runner aiming for a sub-4-hour marathon currently weighs 80 kg and runs 10 km training runs in 50 minutes (5:00 min/km). They plan to lose 5 kg over the next 3 months. Using the calculator with these inputs (Distance: 10 km, Initial Weight: 80 kg, Weight Lost: 5 kg, Time: 50 minutes), they might see a projected pace improvement to around 4:45 min/km. This allows them to adjust their marathon goal time more realistically.

  • Example 2: Post-Race Analysis

    After a 5k race, an athlete finished in 28 minutes, weighing 75 kg. They know they had previously run the same distance in 30 minutes when they weighed 78 kg. Inputting these values (Distance: 5 km, Initial Weight: 78 kg, Weight Lost: 3 kg, Time: 28 minutes) confirms that their weight loss likely contributed to the 2-minute improvement in their 5k time, reinforcing the benefits of their weight management efforts.

How to Use This Weight Running Pace Calculator

Mastering the weight running pace calculator is simple. Follow these steps:

  1. Input Distance & Units: Enter the distance of your run and select the correct unit (km or miles).
  2. Input Weights & Units: Enter your starting weight and the amount of weight lost, ensuring consistent units (kg or lbs).
  3. Input Time: Provide the total duration of your run in minutes and seconds.
  4. Hit Calculate: Click the button to see your results.
  5. Interpret Results: Review your calculated pace (per km/mile) and speed. Compare these to previous performances to gauge the impact of weight changes. Use the "Copy Results" button to save or share your findings.
  6. Reset: Use the "Reset" button to clear all fields and start over with new data.

This tool empowers you to make data-driven decisions about your training and weight management strategies.

Key Factors That Affect Weight Running Pace Results

Several elements influence how weight impacts your running performance beyond the basic calculations:

  • Body Composition: Losing fat is beneficial; losing muscle can be detrimental.
  • Training Consistency: Weight loss needs to be coupled with effective training.
  • Running Economy: Improved form and efficiency can boost pace.
  • Biomechanical Adaptation: How your body adjusts its movement patterns.
  • Nutrition and Hydration: Essential for energy and recovery.
  • Environmental Conditions: Heat, humidity, and terrain affect performance.
  • Cardiovascular Fitness: The underlying engine for endurance.
  • Muscular Strength: Power and resilience in your legs and core.

For a deeper understanding, explore resources on running physiology and training optimization.

Frequently Asked Questions (FAQ)

Q1: What is the standard pace unit?
The most common units are minutes per kilometer (min/km) and minutes per mile (min/mi). The calculator provides both for comprehensive analysis.
Q2: How much weight loss is realistic for runners?
A healthy and sustainable rate is typically 1-2 lbs (0.5-1 kg) per week. Focus on gradual changes to preserve energy and muscle.
Q3: Can I use this for different running distances?
Yes, the calculator works for any distance. The impact of weight tends to be more significant over longer distances.
Q4: Does this calculator predict injury risk?
No, it does not. Rapid or excessive weight loss, or sudden increases in training load, can increase injury risk. Consult with professionals for personalized advice.
Q5: What is the relationship between speed and pace?
Speed and pace are inversely related. Higher speed means lower (faster) pace, and lower speed means higher (slower) pace.
Q6: Is it better to lose weight or improve running form first?
Both are crucial. Often, improving running form can also aid in more efficient calorie burn and potentially fat loss, while weight loss can make good form feel easier to maintain. They are complementary goals.
Q7: How can I ensure my weight loss is primarily fat?
Combine a calorie-controlled, nutrient-rich diet with strength training to build or maintain muscle mass. Endurance exercise like running also burns calories effectively.
Q8: My calculator results seem too good to be true. What could be wrong?
Double-check your input values for accuracy. Ensure you haven't made typos in distance, time, or weight. Also, remember the calculator shows theoretical potential; actual results depend on many factors.
Q9: Can I track my progress over time using this calculator?
Absolutely. Log your runs, weights, and times, and use the calculator to see how your pace changes. This provides objective data on your progress.

Pace vs. Weight Analysis

This chart visualizes the theoretical relationship between your weight and pace. As weight decreases (on the x-axis), the predicted pace (on the y-axis) tends to improve. This chart uses your initial weight and a range of potential weight losses to illustrate potential pace changes.

Performance Data Table

Weight vs. Pace Projection
Weight (kg) Projected Pace (min/km) Projected Speed (km/h)
Enter data to populate table.
// — Utility Functions — function getInputValue(id) { var element = document.getElementById(id); if (element) { return parseFloat(element.value); } return NaN; } function setOutputText(id, text) { var element = document.getElementById(id); if (element && element.children.length > 0) { element.children[0].textContent = text; } else if (element) { element.textContent = text; } } function formatTime(totalMinutes) { if (isNaN(totalMinutes) || totalMinutes < 0) return "–:–"; var minutes = Math.floor(totalMinutes); var seconds = Math.floor((totalMinutes – minutes) * 60); return pad(minutes) + ":" + pad(seconds); } function pad(num) { return num < 10 ? "0" + num : num; } function formatPace(minutes, seconds) { if (isNaN(minutes) || isNaN(seconds)) return "–:–"; return pad(minutes) + ":" + pad(seconds); } function formatSpeed(speed) { if (isNaN(speed)) return "–"; return speed.toFixed(2); } function displayError(elementId, message) { var errorElement = document.getElementById(elementId); if (errorElement) { errorElement.textContent = message; var inputElement = document.getElementById(elementId.replace('Error', '')); if (inputElement) { inputElement.classList.add('validation-error'); } } } function clearError(elementId) { var errorElement = document.getElementById(elementId); if (errorElement) { errorElement.textContent = ''; var inputElement = document.getElementById(elementId.replace('Error', '')); if (inputElement) { inputElement.classList.remove('validation-error'); } } } function copyToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { document.execCommand('copy'); alert('Results copied to clipboard!'); } catch (e) { alert('Failed to copy results.'); } document.body.removeChild(textArea); } // — Calculator Logic — var chartInstance = null; // To hold the chart instance function calculatePace() { var resultsSection = document.getElementById('resultsSection'); if (!resultsSection) return; resultsSection.style.display = 'block'; var distance = getInputValue('distance'); var initialWeight = getInputValue('initialWeight'); var weightLost = getInputValue('weightLost'); var timeMinutes = getInputValue('timeMinutes'); var timeSeconds = getInputValue('timeSeconds'); var distanceUnit = document.getElementById('distanceUnit').value; var weightUnit = document.getElementById('weightUnit').value; // — Validation — var isValid = true; if (isNaN(distance) || distance <= 0) { displayError('distanceError', 'Please enter a valid distance.'); isValid = false; } else { clearError('distanceError'); } if (isNaN(initialWeight) || initialWeight <= 0) { displayError('initialWeightError', 'Please enter a valid initial weight.'); isValid = false; } else { clearError('initialWeightError'); } if (isNaN(weightLost) || weightLost = initialWeight) { displayError('weightLostError', 'Weight lost cannot be more than or equal to initial weight.'); isValid = false; } else { clearError('weightLostError'); } var totalTimeMinutes = 0; if (isNaN(timeMinutes) || timeMinutes < 0) { displayError('timeMinutesError', 'Please enter a valid time in minutes.'); isValid = false; } else { totalTimeMinutes += timeMinutes; clearError('timeMinutesError'); } if (isNaN(timeSeconds) || timeSeconds = 60) { displayError('timeSecondsError', 'Please enter valid seconds (0-59).'); isValid = false; } else { totalTimeMinutes += timeSeconds / 60; clearError('timeSecondsError'); } if (!isValid) { setOutputText('primaryResult', '–'); setOutputText('intermediatePacePerKm', '–'); setOutputText('intermediatePacePerMile', '–'); setOutputText('intermediateSpeed', '–'); updateChart([]); clearTable(); return; } // — Conversions — var distanceKm = distance; var distanceMi = distance; if (distanceUnit === 'miles') { distanceKm = distance * 1.60934; } else { // km distanceMi = distance / 1.60934; } var initialWeightKg = initialWeight; var initialWeightLbs = initialWeight; if (weightUnit === 'lbs') { initialWeightKg = initialWeight * 0.453592; } else { // kg initialWeightLbs = initialWeight / 0.453592; } var weightLostKg = weightLost; if (weightUnit === 'lbs') { weightLostKg = weightLost * 0.453592; } // — Calculations — // We calculate pace based on the entered distance unit first, then convert. var pacePerUnitDistanceMinutes = totalTimeMinutes / distance; var pacePerUnitDistanceSeconds = Math.round((pacePerUnitDistanceMinutes – Math.floor(pacePerUnitDistanceMinutes)) * 60); var pacePerUnitDistanceMinutesPart = Math.floor(pacePerUnitDistanceMinutes); var pacePerMileMinutes = totalTimeMinutes / distanceMi; var pacePerMileSeconds = Math.round((pacePerMileMinutes – Math.floor(pacePerMileMinutes)) * 60); var pacePerMileMinutesPart = Math.floor(pacePerMileMinutes); var speedKmh = 0; if (totalTimeMinutes > 0) { speedKmh = distanceKm / (totalTimeMinutes / 60); } var speedMph = 0; if (totalTimeMinutes > 0) { speedMph = distanceMi / (totalTimeMinutes / 60); } // — Display Results — var primaryResultText = formatPace(pacePerUnitDistanceMinutesPart, pacePerUnitDistanceSeconds) + " / " + distanceUnit; setOutputText('primaryResult', primaryResultText); var paceKmMiLabel = distanceUnit === 'km' ? 'Pace (per km)' : 'Pace (per mile)'; var paceKmMiValue = distanceUnit === 'km' ? formatPace(pacePerUnitDistanceMinutesPart, pacePerUnitDistanceSeconds) : formatPace(pacePerMileMinutesPart, pacePerMileSeconds); document.querySelector('#intermediatePacePerKm strong').textContent = paceKmMiLabel; setOutputText('intermediatePacePerKm', paceKmMiValue); var paceMileLabel = 'Pace (per mile)'; var paceMileValue = formatPace(pacePerMileMinutesPart, pacePerMileSeconds); document.querySelector('#intermediatePacePerMile strong').textContent = paceMileLabel; setOutputText('intermediatePacePerMile', paceMileValue); var speedLabel = distanceUnit === 'km' ? 'Speed (km/h)' : 'Speed (mph)'; var speedValue = distanceUnit === 'km' ? formatSpeed(speedKmh) : formatSpeed(speedMph); document.querySelector('#intermediateSpeed strong').textContent = speedLabel; setOutputText('intermediateSpeed', speedValue); // — Chart and Table Update — updateChartAndTable(distance, distanceUnit, initialWeightKg, weightLostKg, totalTimeMinutes); } function updateChartAndTable(distance, distanceUnit, initialWeightKg, weightLostKg, totalTimeMinutes) { var chartData = []; var tableBody = document.getElementById('performanceTableBody'); tableBody.innerHTML = "; // Clear previous data var weightStepKg = Math.max(1, Math.round(initialWeightKg / 10)); // Determine a reasonable step for weight var maxWeightLossKg = weightLostKg; // Use the provided weight loss as max for projection var minWeightKg = Math.max(10, initialWeightKg – maxWeightLossKg * 1.5); // Extend projection slightly below input // Ensure we have at least a few points if (minWeightKg >= initialWeightKg – weightStepKg) { minWeightKg = initialWeightKg – weightStepKg; } // Calculate pace for a range of weights for (var currentWeightKg = initialWeightKg; currentWeightKg >= minWeightKg; currentWeightKg -= weightStepKg) { // Simplified model: Assume pace improves linearly with weight reduction. // This is a VERY rough estimate. Real-world is more complex. // Let's assume a 1 sec/km improvement for every ~0.5 kg lost as a simple model for demonstration. var weightDifferenceKg = initialWeightKg – currentWeightKg; var paceImprovementSecondsPerKm = weightDifferenceKg * 2; // Example: 2 sec/km per kg lost var basePacePerKm = totalTimeMinutes / (distanceUnit === 'km' ? distance : distance / 1.60934); var projectedPacePerKm = basePacePerKm – (paceImprovementSecondsPerKm / 60); var projectedPacePerMile = projectedPacePerKm * 1.60934; var projectedSpeedKmh = 0; if (totalTimeMinutes > 0) { projectedSpeedKmh = (currentWeightKg > 0 ? distance / (distanceUnit === 'km' ? distance : distance / 1.60934) : 0) / (totalTimeMinutes / 60); // Placeholder, actual speed depends on time, not just weight. This needs refinement. // A better model: assume speed increases proportionally to pace improvement var baseSpeedKmh = (distanceUnit === 'km' ? distance : distance / 1.60934) / (totalTimeMinutes / 60); // If pace improved, speed should increase. Let's try to derive speed from pace. var currentTotalTimeMinutes = projectedPacePerKm * (distanceUnit === 'km' ? distance : distance / 1.60934); if (currentTotalTimeMinutes > 0) { projectedSpeedKmh = distance / (currentTotalTimeMinutes / 60); } else { projectedSpeedKmh = 0; } } // Ensure projected pace is not negative or unrealistically fast if (projectedPacePerKm item.weight.toFixed(1)); var paces = chartData.map(item => item.paceMi); // Use pace per mile for consistency on chart y-axis var speeds = chartData.map(item => item.speedKmh); // Find min/max for y-axis scaling var minPace = Math.min(…paces); var maxPace = Math.max(…paces); var minSpeed = Math.min(…speeds); var maxSpeed = Math.max(…speeds); // Adjust y-axis ranges for better visualization var paceRange = maxPace – minPace; var speedRange = maxSpeed – minSpeed; // Use a dual-axis chart if ranges are very different, or scale one axis // For simplicity, let's try to fit both on one axis with careful scaling or two separate charts if needed. // Given the nature, pace (lower is better) and speed (higher is better) are inverse. // A common approach is to plot pace (lower is better) and maybe a "performance index" or similar. // Let's plot Pace (min/mile) on primary Y and Speed (km/h) on secondary Y. chartInstance = new Chart(ctx, { type: 'line', data: { labels: weights, // X-axis: Weight in kg datasets: [{ label: 'Projected Pace (min/mile)', data: paces, borderColor: 'rgba(0, 74, 153, 1)', // Primary color backgroundColor: 'rgba(0, 74, 153, 0.2)', fill: true, yAxisID: 'y-pace', // Assign to primary y-axis tension: 0.4 }, { label: 'Projected Speed (km/h)', data: speeds, borderColor: 'rgba(40, 167, 69, 1)', // Success color backgroundColor: 'rgba(40, 167, 69, 0.2)', fill: true, yAxisID: 'y-speed', // Assign to secondary y-axis tension: 0.4 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Weight (kg)' } }, y-pace: { // Primary Y-axis for Pace type: 'linear', position: 'left', title: { display: true, text: 'Pace (minutes per mile)' }, reverse: true, // Lower pace value is better min: minPace – paceRange * 0.1, // Add some padding max: maxPace + paceRange * 0.1 }, y-speed: { // Secondary Y-axis for Speed type: 'linear', position: 'right', title: { display: true, text: 'Speed (km/h)' }, min: minSpeed – speedRange * 0.1, // Add some padding max: maxSpeed + speedRange * 0.1 } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { if (context.dataset.label.includes('Pace')) { label += formatTime(context.parsed.y * 60); } else if (context.dataset.label.includes('Speed')) { label += context.parsed.y.toFixed(2) + ' km/h'; } else { label += context.parsed.y; } } return label; } } } } } }); } function clearTable() { var tableBody = document.getElementById('performanceTableBody'); if (tableBody) { tableBody.innerHTML = 'Enter data to populate table.'; } } function resetForm() { document.getElementById('distance').value = 5; document.getElementById('distanceUnit').value = 'km'; document.getElementById('initialWeight').value = 75; document.getElementById('weightUnit').value = 'kg'; document.getElementById('weightLost').value = 1; document.getElementById('timeMinutes').value = 30; document.getElementById('timeSeconds').value = 0; // Clear errors clearError('distanceError'); clearError('initialWeightError'); clearError('weightLostError'); clearError('timeMinutesError'); clearError('timeSecondsError'); // Hide results document.getElementById('resultsSection').style.display = 'none'; setOutputText('primaryResult', '–'); setOutputText('intermediatePacePerKm', '–'); setOutputText('intermediatePacePerMile', '–'); setOutputText('intermediateSpeed', '–'); updateChart([]); // Clear chart clearTable(); // Clear table } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var intermediatePacePerKm = document.getElementById('intermediatePacePerKm').children[0].textContent; var intermediatePacePerMile = document.getElementById('intermediatePacePerMile').children[0].textContent; var intermediateSpeed = document.getElementById('intermediateSpeed').children[0].textContent; var distance = document.getElementById('distance').value; var distanceUnit = document.getElementById('distanceUnit').value; var initialWeight = document.getElementById('initialWeight').value; var weightUnit = document.getElementById('weightUnit').value; var weightLost = document.getElementById('weightLost').value; var timeMinutes = document.getElementById('timeMinutes').value; var timeSeconds = document.getElementById('timeSeconds').value; var assumptions = `— Key Assumptions — Distance: ${distance} ${distanceUnit} Initial Weight: ${initialWeight} ${weightUnit} Weight Lost: ${weightLost} ${weightUnit} Time: ${timeMinutes}m ${timeSeconds}s`; var resultsText = `— Running Pace Results — Primary Pace: ${primaryResult} Pace (per mile): ${intermediatePacePerMile} Speed: ${intermediateSpeed} ${assumptions}`; copyToClipboard(resultsText); } // — Initial Setup — // Load the Chart.js library dynamically var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js@4.4.1/dist/chart.umd.min.js'; // Use Chart.js v4 script.onload = function() { console.log("Chart.js loaded successfully."); // Initial calculation on load if inputs have default values calculatePace(); }; script.onerror = function() { console.error("Failed to load Chart.js library."); }; document.head.appendChild(script); // Add event listeners for real-time updates (optional, but good practice) var inputs = document.querySelectorAll('#calculatorForm input, #calculatorForm select'); inputs.forEach(function(input) { input.addEventListener('input', calculatePace); }); // Ensure calculation happens on page load if default values are set document.addEventListener('DOMContentLoaded', function() { calculatePace(); });

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