Weight Running Calculator

Weight Running Calculator: Optimize Performance and Pace 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: 1000px; margin: 20px auto; padding: 20px; background-color: #ffffff; border-radius: 8px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1); } .calc-header { text-align: center; color: #004a99; margin-bottom: 25px; padding-bottom: 15px; border-bottom: 2px solid #eee; } .calc-header h1 { margin-bottom: 5px; } .calc-header p { font-size: 1.1em; color: #555; } .loan-calc-container { display: flex; flex-direction: column; gap: 15px; margin-bottom: 30px; padding: 25px; border: 1px solid #e0e0e0; border-radius: 8px; background-color: #fdfdfd; } .input-group { display: flex; flex-direction: column; gap: 8px; } .input-group label { font-weight: bold; color: #004a99; font-size: 0.95em; } .input-group input[type="number"], .input-group select { padding: 10px 12px; border: 1px solid #ccc; 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Weight Running Calculator

Understand how changes in your body weight impact your running pace and performance.

Running Performance Inputs

Enter your current weight in kilograms (kg).
Enter the change in weight (kg). Use a negative sign for weight loss, positive for gain.
Enter your average running pace in minutes per kilometer (min/km).
5k (5000 meters) 10k (10000 meters) Half Marathon (21097.5 meters) Marathon (42195 meters) Select the distance for which you want to estimate pace changes.
Results copied!

Performance Impact Analysis

New Body Weight

Estimated New Pace

Estimated Time Saving/Loss

Estimated Pace Change:
Formula Used: The calculator estimates pace changes based on established physiological principles where a reduction in body weight generally leads to faster running times. A common rule of thumb suggests that for every kilogram of weight lost, a runner can improve their pace by approximately 1-2 seconds per kilometer. This calculator uses a linear model applied to your average pace and selected distance.

Pace Change vs. Weight Change

Visualizing how pace is projected to change with varying weight adjustments for your current pace and selected distance.

Performance Breakdown by Weight Change

Detailed breakdown of estimated pace and time for different weight change scenarios.

Weight Change (kg) New Body Weight (kg) Estimated Pace (min/km) Estimated Time for (hh:mm:ss)
Enter inputs and click Calculate.

What is a Weight Running Calculator?

A Weight Running Calculator is a specialized tool designed to help runners estimate how changes in their body weight might affect their running performance, particularly their pace and overall race time. For runners, body weight is a significant factor influencing efficiency and speed. Carrying less weight generally requires less energy expenditure to move the same distance, potentially leading to faster times. Conversely, gaining weight can slow a runner down. This calculator quantizes these effects, providing data-driven insights to help athletes set realistic performance goals and understand the physiological impact of weight management on their running.

Who should use it? This calculator is invaluable for a wide range of runners, from recreational joggers to elite athletes. Anyone focused on improving their race times, understanding the benefits of weight loss for performance, or even managing expectations during periods of weight gain can benefit. It's particularly useful for:

  • Marathoners and ultra-runners who aim for optimal efficiency over long distances.
  • Sprinters and middle-distance runners looking to shave seconds off their personal bests.
  • Runners engaged in structured weight management programs alongside their training.
  • Coaches and athletes who want to model the potential impact of body composition changes.

Common misconceptions about weight and running include the belief that any weight loss is automatically beneficial, regardless of the source (e.g., muscle loss vs. fat loss), or that the relationship between weight and speed is always linear and identical for every runner. While weight loss often improves performance, the exact impact depends on individual physiology, training status, the type of weight lost, and the specific race demands. This calculator provides an estimate, but real-world results can vary.

Weight Running Calculator Formula and Mathematical Explanation

The core principle behind the Weight Running Calculator is based on the physiological response to carrying less mass. A widely accepted heuristic in running science suggests that for every kilogram of body weight lost, a runner can improve their pace by approximately 1 to 2 seconds per kilometer. This calculator applies this principle using a slightly refined approach:

1. Calculate New Body Weight:

New Weight = Current Weight + Weight Change

2. Determine Pace Improvement Factor:

Pace Improvement per kg = 1.5 seconds/km (This is a common average, adjustable in some advanced calculators, but fixed here for simplicity).

3. Calculate Total Pace Improvement (seconds per km):

Total Pace Improvement (sec/km) = ABS(Weight Change) * Pace Improvement per kg

4. Calculate New Pace (min/km):

If Weight Change < 0 (weight loss):

New Pace = Current Pace - (Total Pace Improvement / 60)

If Weight Change > 0 (weight gain):

New Pace = Current Pace + (Total Pace Improvement / 60)

5. Calculate Total Race Time:

Total Race Time (seconds) = New Pace (min/km) * Race Distance (km) * 60

6. Calculate Time Change:

Current Total Time (seconds) = Current Pace (min/km) * Race Distance (km) * 60

Estimated Time Change (seconds) = Total Race Time (seconds) - Current Total Time (seconds)

Variable Explanations

Variable Meaning Unit Typical Range
Current Weight The runner's current body mass. kg 40 – 150 kg
Weight Change The intended or actual change in body mass. Negative for loss, positive for gain. kg -10 to +10 kg
Current Pace The runner's average speed over a given distance. min/km 3.0 – 10.0 min/km
Race Distance The length of the running event. meters 5000 m, 10000 m, 21097.5 m, 42195 m
New Weight The projected body mass after the change. kg Varies
Pace Improvement per kg Estimated seconds per kilometer improvement for each kg lost. sec/km/kg 1.0 – 2.0 sec/km/kg (used 1.5)
Estimated New Pace The projected average pace after weight change. min/km Varies
Estimated Time Change The difference in total race time due to weight change. seconds or hh:mm:ss Varies

Practical Examples (Real-World Use Cases)

Let's explore how the Weight Running Calculator can be applied:

  1. Example 1: Elite Marathoner Aiming for a PR

    Scenario: Anya is a competitive marathon runner weighing 60 kg. Her current marathon personal best is 2 hours 45 minutes (average pace of 3:52 min/km). She aims to break 2:40 and believes losing 3 kg could help. She wants to know the estimated impact on her marathon time.

    Inputs:

    • Current Weight: 60 kg
    • Desired Weight Change: -3 kg
    • Current Average Pace: 3.87 min/km (approx. 3:52)
    • Race Distance: Marathon (42195 meters)

    Calculation using the calculator's logic:

    • New Weight: 60 kg + (-3 kg) = 57 kg
    • Pace Improvement per kg: 1.5 sec/km/kg
    • Total Pace Improvement (sec/km): 3 kg * 1.5 sec/km/kg = 4.5 sec/km
    • Estimated New Pace (min/km): 3.87 min/km – (4.5 sec/km / 60 sec/min) = 3.87 – 0.075 = 3.795 min/km (approx. 3:48 min/km)
    • Current Total Time: 3.87 min/km * 42.195 km = 163.30 minutes
    • Estimated New Total Time: 3.795 min/km * 42.195 km = 160.00 minutes
    • Estimated Time Change: 160.00 – 163.30 = -3.30 minutes (approx. -3 minutes and 18 seconds)

    Results: The calculator projects Anya's new weight to be 57 kg. Her estimated pace could improve to approximately 3:48 min/km. This translates to an estimated time saving of about 3 minutes and 18 seconds, potentially bringing her marathon time down to around 2 hours 41 minutes 42 seconds. This suggests her goal of breaking 2:40 might be achievable with this weight loss, though other training factors are also critical.

  2. Example 2: Recreational Runner Gaining Weight

    Scenario: Ben weighs 85 kg and usually runs a 10k in about 55 minutes (average pace of 5:30 min/km). Due to a recent injury and less training, he has gained 2 kg. He wants to understand how this gain might affect his 10k time.

    Inputs:

    • Current Weight: 85 kg
    • Desired Weight Change: +2 kg
    • Current Average Pace: 5.5 min/km
    • Race Distance: 10k (10000 meters)

    Calculation using the calculator's logic:

    • New Weight: 85 kg + 2 kg = 87 kg
    • Pace Improvement per kg: 1.5 sec/km/kg
    • Total Pace Improvement (sec/km): 2 kg * 1.5 sec/km/kg = 3.0 sec/km
    • Estimated New Pace (min/km): 5.5 min/km + (3.0 sec/km / 60 sec/min) = 5.5 + 0.05 = 5.55 min/km (approx. 5:33 min/km)
    • Current Total Time: 5.5 min/km * 10 km = 55 minutes
    • Estimated New Total Time: 5.55 min/km * 10 km = 55.5 minutes
    • Estimated Time Change: 55.5 minutes – 55 minutes = 0.5 minutes (30 seconds)

    Results: Ben's projected new weight is 87 kg. The calculator estimates his pace might slow to around 5:33 min/km, resulting in an additional 30 seconds for his 10k race. This illustrates how even a modest weight gain can have a measurable impact on running performance, highlighting the importance of maintaining a healthy weight relative to performance goals.

How to Use This Weight Running Calculator

Using the Weight Running Calculator is straightforward and designed to provide quick insights. Follow these steps:

  1. Step 1: Input Your Current Data

    Enter your Current Body Weight in kilograms (kg). Then, input your Current Average Pace in minutes per kilometer (min/km). This should be a pace representative of your current fitness level for the type of race you are considering.

  2. Step 2: Specify Weight Change

    Enter the Desired Weight Change in kilograms (kg). Use a negative number (e.g., -2) if you are aiming to lose weight, or a positive number (e.g., 3) if you anticipate gaining weight. For example, if you weigh 70kg and want to reach 68kg, enter -2.

  3. Step 3: Select Race Distance

    Choose the Race Distance from the dropdown menu that you wish to analyze. Options typically include 5k, 10k, Half Marathon, and Marathon.

  4. Step 4: Calculate and Analyze Results

    Click the "Calculate Impact" button. The calculator will instantly display:

    • New Body Weight: Your projected weight after the change.
    • Estimated New Pace: Your projected pace in min/km.
    • Estimated Time Saving/Loss: The difference in total race time in minutes/seconds.
    • Primary Highlighted Result: A clear statement on the overall pace change.

    The generated chart and table provide further visual and detailed breakdowns for different weight change scenarios.

  5. Step 5: Interpret and Use

    Use the results to set realistic performance goals. If aiming for weight loss, understand the potential performance gains. If weight gain is a factor, recognize the potential performance detriments and adjust expectations or focus on mitigating the impact through training.

  6. Step 6: Reset or Copy

    Click "Reset" to clear all fields and start over with new inputs. Click "Copy Results" to copy the key calculated values for your records or to share.

Decision-making guidance: This calculator helps inform decisions about weight management as part of a training plan. For instance, if the projected time saving from losing 5kg seems significant enough to reach a specific time goal, it might provide motivation. Conversely, if the projected impact of a small weight gain is substantial, it might prompt a runner to prioritize nutrition and training consistency.

Key Factors That Affect Weight Running Results

While the Weight Running Calculator provides a useful estimate, several critical factors influence the actual impact of weight changes on running performance:

  1. Body Composition Changes:

    The calculator assumes generic weight loss. However, losing muscle mass is detrimental to performance, while losing fat is beneficial. A runner aiming for performance improvement should focus on losing fat while preserving or even increasing muscle mass through strength training and appropriate nutrition. The calculator doesn't differentiate between fat and muscle loss.

  2. Training Status and Adaptation:

    How well a runner's body adapts to the reduced load is crucial. A highly trained athlete might see more significant and immediate benefits than a novice. Conversely, rapid or extreme weight loss can negatively impact training capacity, energy levels, and recovery, potentially negating performance gains.

  3. Running Economy:

    This refers to the amount of oxygen consumed at a given pace. Weight loss can improve running economy by reducing the energy cost of locomotion. However, factors like running form, efficiency of movement, and biomechanics also play a significant role and are not directly modeled by the calculator.

  4. Individual Physiology and Genetics:

    Metabolic rate, hormonal balance, and genetic predispositions vary greatly among individuals. Some runners naturally maintain a lighter frame with less effort, while others struggle with weight management. The "seconds per kilogram" rule is an average; individual responses can differ.

  5. Nutrition and Hydration:

    Aggressive weight loss through severe calorie restriction can lead to nutrient deficiencies, low energy availability, and impaired recovery, hindering performance. Proper nutrition is vital to support training and ensure weight loss comes from fat, not essential body tissues.

  6. Distance and Intensity:

    The impact of weight might be more pronounced over longer distances where efficiency is paramount. For very short, explosive efforts (like sprints), muscle mass and power might be more critical than body weight alone. The calculator uses a generalized pace impact across the selected distance.

  7. Environmental Factors:

    Heat, humidity, and altitude can significantly affect perceived effort and performance. While not directly related to weight, these external factors interact with a runner's physiological state, including their body mass and energy expenditure.

Frequently Asked Questions (FAQ)

Q1: Is the 1-2 seconds per kilometer improvement rule always accurate?
A: No, it's a general guideline or heuristic. The actual improvement can vary based on individual physiology, the type of weight lost (fat vs. muscle), training adaptation, and the distance of the race. Some studies suggest slightly different ranges, and the effect might diminish as a runner becomes very lean.
Q2: Should I lose weight if I want to improve my running time?
A: For most runners, especially those carrying excess body fat, losing weight can lead to performance improvements. However, the focus should be on healthy, sustainable fat loss while maintaining muscle mass and fueling adequate training. Consult with a coach or registered dietitian for personalized advice.
Q3: What if I gain muscle mass instead of losing fat?
A: Gaining muscle can increase overall weight but often improves strength and power, which can be beneficial for certain running events (like shorter distances). While the calculator might show a slower pace due to increased weight, the improved strength could compensate or even lead to better performance if the gains are balanced and the runner adapts well.
Q4: Does this calculator work for all running distances?
A: The calculator provides an estimate for the selected distance. The impact of weight is generally more significant for longer distances (marathons, ultras) where aerobic efficiency is key, compared to shorter, power-dominant events.
Q5: What is the optimal body fat percentage for runners?
A: Optimal body fat percentage varies by sex and individual factors. Generally, for male runners, it ranges from 6-13%, and for female runners, 14-20%. Going below these ranges can negatively impact health and performance.
Q6: How quickly should I aim to lose weight for running?
A: Sustainable and healthy weight loss is typically recommended at 0.5 to 1 kg (1-2 pounds) per week. Rapid weight loss can lead to muscle loss, fatigue, and increased risk of injury.
Q7: Can I use this calculator to predict performance after injury recovery?
A: Yes, if you anticipate gaining weight during a recovery period, you can use the calculator to estimate the potential slowdown. This can help set realistic expectations for your return to running.
Q8: Are there any tools to calculate ideal running weight?
A: While there isn't a single "ideal" weight, calculators like this help understand the *impact* of weight changes. Tools focusing on body composition analysis (like body fat percentage measurements) combined with performance goals are more comprehensive than a simple weight-to-pace calculator.

Related Tools and Internal Resources

var currentWeightInput = document.getElementById('currentWeight'); var weightChangeInput = document.getElementById('weightChange'); var currentPaceInput = document.getElementById('currentPace'); var raceDistanceSelect = document.getElementById('raceDistance'); var newWeightDisplay = document.getElementById('newWeight'); var estimatedNewPaceDisplay = document.getElementById('estimatedNewPace'); var estimatedTimeChangeDisplay = document.getElementById('estimatedTimeChange'); var primaryResultDisplay = document.getElementById('primaryResult').getElementsByTagName('strong')[0]; var performanceTableBody = document.getElementById('performanceTableBody'); var tableDistanceSpan = document.getElementById('tableDistance'); var chartInstance = null; var paceChangeChart = null; var PACE_IMPROVEMENT_PER_KG = 1.5; // seconds per km per kg var SECONDS_PER_MINUTE = 60; function formatSecondsToHms(totalSeconds) { var hours = Math.floor(totalSeconds / 3600); var minutes = Math.floor((totalSeconds % 3600) / 60); var seconds = Math.floor(totalSeconds % 60); var timeString = ""; if (hours > 0) { timeString += (hours < 10 ? "0" : "") + hours + ":"; } timeString += (minutes < 10 ? "0" : "") + minutes + ":"; timeString += (seconds < 10 ? "0" : "") + seconds; return timeString; } function formatPace(paceInMinutesPerKm) { if (isNaN(paceInMinutesPerKm) || paceInMinutesPerKm < 0) return "–"; var minutes = Math.floor(paceInMinutesPerKm); var seconds = Math.floor((paceInMinutesPerKm – minutes) * 1000) / 10; // handle potential floating point issues return minutes + ":" + (seconds < 10 ? "0" : "") + Math.round(seconds); } function validateInput(value, inputId, errorId, min = null, max = null) { var errorElement = document.getElementById(errorId); var inputElement = document.getElementById(inputId); errorElement.textContent = ''; inputElement.style.borderColor = '#ccc'; if (value === '') { errorElement.textContent = 'This field cannot be empty.'; inputElement.style.borderColor = 'red'; return false; } var numberValue = parseFloat(value); if (isNaN(numberValue)) { errorElement.textContent = 'Please enter a valid number.'; inputElement.style.borderColor = 'red'; return false; } if (min !== null && numberValue max) { errorElement.textContent = `Value cannot exceed ${max}.`; inputElement.style.borderColor = 'red'; return false; } return true; } function calculateWeightImpact() { var currentWeight = parseFloat(currentWeightInput.value); var weightChange = parseFloat(weightChangeInput.value); var currentPace = parseFloat(currentPaceInput.value); var raceDistance = parseFloat(raceDistanceSelect.value); var distanceInKm = raceDistance / 1000; // Validation var validCurrentWeight = validateInput(currentWeightInput.value, 'currentWeight', 'currentWeightError', 0); var validWeightChange = validateInput(weightChangeInput.value, 'weightChange', 'weightChangeError'); var validCurrentPace = validateInput(currentPaceInput.value, 'currentPace', 'currentPaceError', 0); if (!validCurrentWeight || !validWeightChange || !validCurrentPace) { return; } var newWeight = currentWeight + weightChange; var absWeightChange = Math.abs(weightChange); var paceChangeSecondsPerKm = absWeightChange * PACE_IMPROVEMENT_PER_KG; var paceChangeMinutesPerKm = paceChangeSecondsPerKm / SECONDS_PER_MINUTE; var estimatedNewPace; var timeChangeSeconds; if (weightChange < 0) { // Weight loss estimatedNewPace = currentPace – paceChangeMinutesPerKm; if (estimatedNewPace < 0) estimatedNewPace = 0.1; // Prevent negative pace timeChangeSeconds = (currentPace – estimatedNewPace) * raceDistance; } else { // Weight gain estimatedNewPace = currentPace + paceChangeMinutesPerKm; timeChangeSeconds = (estimatedNewPace – currentPace) * raceDistance; } var currentTotalSeconds = currentPace * raceDistance; var estimatedNewTotalSeconds = estimatedNewPace * raceDistance; timeChangeSeconds = estimatedNewTotalSeconds – currentTotalSeconds; var formattedNewWeight = newWeight.toFixed(1) + " kg"; var formattedNewPace = formatPace(estimatedNewPace); var formattedTimeChange = formatSecondsToHms(Math.abs(timeChangeSeconds)); var sign = timeChangeSeconds < 0 ? "" : "+"; newWeightDisplay.textContent = formattedNewWeight; estimatedNewPaceDisplay.textContent = formattedNewPace; estimatedTimeChangeDisplay.textContent = sign + formattedTimeChange; primaryResultDisplay.textContent = sign + formattedNewPace + " (Change: " + sign + formattedTimeChange + ")"; // Update Table performanceTableBody.innerHTML = ''; // Clear previous rows tableDistanceSpan.textContent = raceDistance / 1000 + 'k'; var weightScenarios = [-5, -3, -1, 0, 1, 3, 5]; // Example scenarios for (var i = 0; i < weightScenarios.length; i++) { var scenarioWeightChange = weightScenarios[i]; var scenarioNewWeight = currentWeight + scenarioWeightChange; var scenarioAbsWeightChange = Math.abs(scenarioWeightChange); var scenarioPaceChangeSecondsPerKm = scenarioAbsWeightChange * PACE_IMPROVEMENT_PER_KG; var scenarioPaceChangeMinutesPerKm = scenarioPaceChangeSecondsPerKm / SECONDS_PER_MINUTE; var scenarioNewPace; if (scenarioWeightChange < 0) { scenarioNewPace = currentPace – scenarioPaceChangeMinutesPerKm; if (scenarioNewPace < 0) scenarioNewPace = 0.1; } else { scenarioNewPace = currentPace + scenarioPaceChangeMinutesPerKm; } var scenarioTotalSeconds = scenarioNewPace * raceDistance; var formattedScenarioPace = formatPace(scenarioNewPace); var formattedScenarioTime = formatSecondsToHms(scenarioTotalSeconds); var row = performanceTableBody.insertRow(); row.insertCell(0).textContent = scenarioWeightChange + " kg"; row.insertCell(1).textContent = scenarioNewWeight.toFixed(1) + " kg"; row.insertCell(2).textContent = formattedScenarioPace; row.insertCell(3).textContent = formattedScenarioTime; } updateChart(currentWeight, currentPace, raceDistance, weightScenarios); } function updateChart(currentWeight, currentPace, raceDistance, weightScenarios) { var distanceInKm = raceDistance / 1000; var chartDataPoints = []; var chartPaceValues = []; for (var i = 0; i < weightScenarios.length; i++) { var scenarioWeightChange = weightScenarios[i]; var scenarioNewWeight = currentWeight + scenarioWeightChange; var scenarioAbsWeightChange = Math.abs(scenarioWeightChange); var scenarioPaceChangeSecondsPerKm = scenarioAbsWeightChange * PACE_IMPROVEMENT_PER_KG; var scenarioPaceChangeMinutesPerKm = scenarioPaceChangeSecondsPerKm / SECONDS_PER_MINUTE; var scenarioNewPace; if (scenarioWeightChange < 0) { scenarioNewPace = currentPace – scenarioPaceChangeMinutesPerKm; if (scenarioNewPace < 0) scenarioNewPace = 0.1; } else { scenarioNewPace = currentPace + scenarioPaceChangeMinutesPerKm; } chartDataPoints.push(scenarioNewWeight.toFixed(1)); // Weight on X-axis chartPaceValues.push(scenarioNewPace); // Pace on Y-axis } var ctx = document.getElementById('paceChangeChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } chartInstance = new Chart(ctx, { type: 'line', data: { labels: chartDataPoints, // Weight values datasets: [{ label: 'Estimated Pace (min/km)', data: chartPaceValues, borderColor: '#004a99', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: true, tension: 0.1, pointRadius: 5, pointHoverRadius: 7 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Body Weight (kg)', color: '#004a99' }, grid: { color: 'rgba(200, 200, 200, 0.2)' } }, y: { title: { display: true, text: 'Pace (min/km)', color: '#004a99' }, grid: { color: 'rgba(200, 200, 200, 0.2)' }, beginAtZero: false // Pace doesn't start at 0 } }, plugins: { legend: { display: true, position: 'top', }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += formatPace(context.parsed.y); } return label; } } } } } }); } function resetCalculator() { currentWeightInput.value = "75"; weightChangeInput.value = "-2"; currentPaceInput.value = "5.5"; raceDistanceSelect.value = "10000"; // Default to 10k document.getElementById('currentWeightError').textContent = ''; document.getElementById('weightChangeError').textContent = ''; document.getElementById('currentPaceError').textContent = ''; document.getElementById('currentWeight').style.borderColor = '#ccc'; document.getElementById('weightChange').style.borderColor = '#ccc'; document.getElementById('currentPace').style.borderColor = '#ccc'; newWeightDisplay.textContent = "–"; estimatedNewPaceDisplay.textContent = "–"; estimatedTimeChangeDisplay.textContent = "–"; primaryResultDisplay.textContent = "–"; performanceTableBody.innerHTML = 'Enter inputs and click Calculate.'; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } document.getElementById('paceChangeChart').getContext('2d').clearRect(0, 0, 1000, 400); // Clear canvas for visual reset document.getElementById('copyResultText').style.opacity = '0'; } function copyResults() { var currentWeight = parseFloat(currentWeightInput.value); var weightChange = parseFloat(weightChangeInput.value); var currentPace = parseFloat(currentPaceInput.value); var raceDistance = parseFloat(raceDistanceSelect.value); var validCurrentWeight = validateInput(currentWeightInput.value, 'currentWeight', 'currentWeightError', 0); var validWeightChange = validateInput(weightChangeInput.value, 'weightChange', 'weightChangeError'); var validCurrentPace = validateInput(currentPaceInput.value, 'currentPace', 'currentPaceError', 0); if (!validCurrentWeight || !validWeightChange || !validCurrentPace) { alert("Please correct the input errors before copying."); return; } var newWeight = currentWeight + weightChange; var absWeightChange = Math.abs(weightChange); var paceChangeSecondsPerKm = absWeightChange * PACE_IMPROVEMENT_PER_KG; var paceChangeMinutesPerKm = paceChangeSecondsPerKm / SECONDS_PER_MINUTE; var estimatedNewPace; var timeChangeSeconds; if (weightChange < 0) { // Weight loss estimatedNewPace = currentPace – paceChangeMinutesPerKm; if (estimatedNewPace < 0) estimatedNewPace = 0.1; timeChangeSeconds = (currentPace – estimatedNewPace) * raceDistance; } else { // Weight gain estimatedNewPace = currentPace + paceChangeMinutesPerKm; timeChangeSeconds = (estimatedNewPace – currentPace) * raceDistance; } var currentTotalSeconds = currentPace * raceDistance; var estimatedNewTotalSeconds = estimatedNewPace * raceDistance; timeChangeSeconds = estimatedNewTotalSeconds – currentTotalSeconds; var formattedNewWeight = newWeight.toFixed(1) + " kg"; var formattedNewPace = formatPace(estimatedNewPace); var formattedTimeChange = formatSecondsToHms(Math.abs(timeChangeSeconds)); var sign = timeChangeSeconds < 0 ? "" : "+"; var resultText = "— Weight Running Calculator Results —\n\n"; resultText += "Key Assumptions:\n"; resultText += "- Current Weight: " + currentWeight.toFixed(1) + " kg\n"; resultText += "- Weight Change: " + weightChange.toFixed(1) + " kg\n"; resultText += "- Current Pace: " + formatPace(currentPace) + " min/km\n"; resultText += "- Race Distance: " + (raceDistance / 1000) + "k\n"; resultText += "- Pace Impact Rule: ~" + PACE_IMPROVEMENT_PER_KG + " sec/km per kg lost/gained\n\n"; resultText += "Calculated Results:\n"; resultText += "Estimated New Body Weight: " + formattedNewWeight + "\n"; resultText += "Estimated New Pace: " + formattedNewPace + " min/km\n"; resultText += "Estimated Time Change: " + sign + formattedTimeChange + "\n"; resultText += "Primary Result: Pace is projected to be " + formattedNewPace + " (" + sign + formattedTimeChange + " change).\n"; var textArea = document.createElement("textarea"); textArea.value = resultText; document.body.appendChild(textArea); textArea.select(); try { document.execCommand("copy"); var successMessage = document.getElementById('copyResultText'); successMessage.style.opacity = '1'; setTimeout(function() { successMessage.style.opacity = '0'; }, 3000); } catch (err) { console.error("Failed to copy text: ", err); alert("Failed to copy results. Please copy manually."); } document.body.removeChild(textArea); } // Initial calculation on load if default values are set document.addEventListener('DOMContentLoaded', function() { calculateWeightImpact(); // Ensure chart is drawn initially. If no inputs are filled, this will use defaults. var currentWeight = parseFloat(currentWeightInput.value) || 75; var weightChange = parseFloat(weightChangeInput.value) || -2; var currentPace = parseFloat(currentPaceInput.value) || 5.5; var raceDistance = parseFloat(raceDistanceSelect.value) || 10000; var distanceInKm = raceDistance / 1000; var chartDataPoints = []; var chartPaceValues = []; var weightScenarios = [-5, -3, -1, 0, 1, 3, 5]; for (var i = 0; i < weightScenarios.length; i++) { var scenarioWeightChange = weightScenarios[i]; var scenarioNewWeight = currentWeight + scenarioWeightChange; var scenarioAbsWeightChange = Math.abs(scenarioWeightChange); var scenarioPaceChangeSecondsPerKm = scenarioAbsWeightChange * PACE_IMPROVEMENT_PER_KG; var scenarioPaceChangeMinutesPerKm = scenarioPaceChangeSecondsPerKm / SECONDS_PER_MINUTE; var scenarioNewPace; if (scenarioWeightChange < 0) { scenarioNewPace = currentPace – scenarioPaceChangeMinutesPerKm; if (scenarioNewPace < 0) scenarioNewPace = 0.1; } else { scenarioNewPace = currentPace + scenarioPaceChangeMinutesPerKm; } chartDataPoints.push(scenarioNewWeight.toFixed(1)); chartPaceValues.push(scenarioNewPace); } var ctx = document.getElementById('paceChangeChart').getContext('2d'); chartInstance = new Chart(ctx, { type: 'line', data: { labels: chartDataPoints, datasets: [{ label: 'Estimated Pace (min/km)', data: chartPaceValues, borderColor: '#004a99', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: true, tension: 0.1, pointRadius: 5, pointHoverRadius: 7 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Body Weight (kg)', color: '#004a99' }, grid: { color: 'rgba(200, 200, 200, 0.2)' } }, y: { title: { display: true, text: 'Pace (min/km)', color: '#004a99' }, grid: { color: 'rgba(200, 200, 200, 0.2)' }, beginAtZero: false } }, plugins: { legend: { display: true, position: 'top', }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += formatPace(context.parsed.y); } return label; } } } } } }); });

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