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<!DOCTYPE html>
<html lang="en">
<head>
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>SportsBet Pro Calculator | Advanced Player Prop Analysis</title>
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<style>
.gradient-bg {
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.result-card {
transition: transform 0.3s ease, box-shadow 0.3s ease;
}
.result-card:hover {
transform: translateY(-5px);
box-shadow: 0 20px 25px -5px rgba(0, 0, 0, 0.1), 0 10px 10px -5px rgba(0, 0, 0, 0.04);
}
</style>
</head>
<body class="bg-gray-50 min-h-screen">
<!-- Header -->
<header class="gradient-bg text-white">
<div class="container mx-auto px-4 py-6">
<div class="flex justify-between items-center">
<div class="flex items-center space-x-2">
<i class="fas fa-calculator text-3xl"></i>
<h1 class="text-2xl font-bold">SportsBet Pro</h1>
</div>
<nav>
<ul class="flex space-x-6">
<li><a href="#calculator" class="hover:text-blue-200 transition">Calculator</a></li>
</ul>
</nav>
</div>
</div>
</header>
<!-- Hero Section -->
<section class="gradient-bg text-white py-16">
<div class="container mx-auto px-4 text-center">
<h2 class="text-4xl font-bold mb-4">Advanced Player Prop Calculator</h2>
<p class="text-xl max-w-2xl mx-auto mb-8">Analyze and compare no-vig probabilities and statistical predictions for player props with our professional tools</p>
<a href="#calculator" class="bg-white text-primary px-6 py-3 rounded-lg font-semibold hover:bg-blue-50 transition inline-block">Get Started</a>
</div>
</section>
<!-- Calculator Section -->
<section id="calculator" class="py-12 bg-white">
<div class="container mx-auto px-4">
<h2 class="text-3xl font-bold text-center mb-12 text-dark">Player Prop Calculator</h2>
<!-- Tabs -->
<div class="flex justify-center mb-8 border-b border-gray-200">
<button id="noVigTab" class="px-6 py-3 font-medium text-gray-600 hover:text-primary transition tab-active">No-Vig Calculator</button>
<button id="statisticalTab" class="px-6 py-3 font-medium text-gray-600 hover:text-primary transition">Statistical Prediction</button>
<button id="compareTab" class="px-6 py-3 font-medium text-gray-600 hover:text-primary transition">Compare Results</button>
</div>
<!-- No-Vig Calculator -->
<div id="noVigContent" class="calculator-content">
<div class="max-w-4xl mx-auto bg-gray-50 rounded-xl p-8 card-shadow">
<h3 class="text-2xl font-semibold mb-6 text-dark">No-Vig Probability Calculator</h3>
<div class="grid md:grid-cols-2 gap-6">
<div>
<label class="block text-gray-700 mb-2">Over Odds (American)</label>
<input type="number" id="overOdds" placeholder="-122" class="w-full px-4 py-2 border rounded-lg input-highlight">
</div>
<div>
<label class="block text-gray-700 mb-2">Under Odds (American)</label>
<input type="number" id="underOdds" placeholder="+162" class="w-full px-4 py-2 border rounded-lg input-highlight">
</div>
</div>
<div class="mt-6">
<label class="block text-gray-700 mb-2">Player Name (Optional)</label>
<input type="text" id="playerName" placeholder="Search player..." class="w-full px-4 py-2 border rounded-lg input-highlight">
</div>
<div class="mt-6">
<label class="block text-gray-700 mb-2">Stat Type</label>
<select id="statType" class="w-full px-4 py-2 border rounded-lg input-highlight">
<option value="points">Points</option>
<option value="rebounds">Rebounds</option>
<option value="assists">Assists</option>
<option value="other">Other</option>
</select>
</div>
<button id="calculateNoVig" class="mt-8 bg-primary text-white px-6 py-3 rounded-lg font-semibold hover:bg-secondary transition w-full">Calculate No-Vig Probabilities</button>
</div>
<!-- Results -->
<div id="noVigResults" class="max-w-4xl mx-auto mt-8 hidden">
<div class="bg-white rounded-xl p-8 card-shadow">
<h4 class="text-xl font-semibold mb-4 text-dark">No-Vig Probability Results</h4>
<div class="grid md:grid-cols-2 gap-6">
<div class="result-card bg-gray-50 p-6 rounded-lg">
<h5 class="font-medium text-gray-700 mb-2">Over Probability</h5>
<p id="overProb" class="text-3xl font-bold text-primary">--%</p>
</div>
<div class="result-card bg-gray-50 p-6 rounded-lg">
<h5 class="font-medium text-gray-700 mb-2">Under Probability</h5>
<p id="underProb" class="text-3xl font-bold text-primary">--%</p>
</div>
</div>
<div class="mt-6">
<button id="saveNoVig" class="bg-accent text-white px-4 py-2 rounded-lg font-medium hover:bg-blue-500 transition">Save for Comparison</button>
</div>
</div>
</div>
</div>
<!-- Statistical Prediction -->
<div id="statisticalContent" class="calculator-content hidden">
<div class="max-w-4xl mx-auto bg-gray-50 rounded-xl p-8 card-shadow">
<h3 class="text-2xl font-semibold mb-6 text-dark">Statistical Prediction Calculator</h3>
<div class="grid md:grid-cols-2 gap-6">
<div>
<label class="block text-gray-700 mb-2">Projected Mean (μ)</label>
<input type="number" step="0.1" id="meanValue" placeholder="e.g. 22.5" class="w-full px-4 py-2 border rounded-lg input-highlight">
</div>
<div>
<label class="block text-gray-700 mb-2">Standard Deviation (σ)</label>
<div class="flex">
<input type="number" step="0.1" id="stdDevValue" placeholder="e.g. 5.2" class="w-full px-4 py-2 border rounded-l-lg input-highlight">
<button id="calculateStdDev" class="bg-gray-200 px-4 py-2 border rounded-r-lg hover:bg-gray-300 transition">Calculate σ</button>
</div>
</div>
</div>
<div class="mt-6">
<label class="block text-gray-700 mb-2">Line Value (X)</label>
<input type="number" step="0.1" id="lineValue" placeholder="e.g. 24.5" class="w-full px-4 py-2 border rounded-lg input-highlight">
</div>
<div class="mt-6">
<label class="block text-gray-700 mb-2">Player Name (Optional)</label>
<input type="text" id="statPlayerName" placeholder="Search player..." class="w-full px-4 py-2 border rounded-lg input-highlight">
</div>
<div class="mt-6">
<label class="block text-gray-700 mb-2">Stat Type</label>
<select id="statStatType" class="w-full px-4 py-2 border rounded-lg input-highlight">
<option value="points">Points</option>
<option value="rebounds">Rebounds</option>
<option value="assists">Assists</option>
<option value="other">Other</option>
</select>
</div>
<button id="calculateStatistical" class="mt-8 bg-primary text-white px-6 py-3 rounded-lg font-semibold hover:bg-secondary transition w-full">Calculate Statistical Probabilities</button>
</div>
<!-- Std Dev Calculator Modal -->
<div id="stdDevModal" class="fixed inset-0 bg-black bg-opacity-50 flex items-center justify-center hidden z-50">
<div class="bg-white rounded-xl p-8 max-w-md w-full mx-4">
<h4 class="text-xl font-semibold mb-4">Calculate Standard Deviation</h4>
<div class="mb-4">
<label class="block text-gray-700 mb-2">Enter historical data (comma separated)</label>
<textarea id="historicalData" class="w-full px-4 py-2 border rounded-lg input-highlight" rows="4" placeholder="e.g. 18, 22, 25, 19, 21"></textarea>
</div>
<div class="flex justify-end space-x-4">
<button id="cancelStdDev" class="px-4 py-2 border rounded-lg hover:bg-gray-100 transition">Cancel</button>
<button id="confirmStdDev" class="bg-primary text-white px-4 py-2 rounded-lg hover:bg-secondary transition">Calculate</button>
</div>
</div>
</div>
<!-- Results -->
<div id="statisticalResults" class="max-w-4xl mx-auto mt-8 hidden">
<div class="bg-white rounded-xl p-8 card-shadow">
<h4 class="text-xl font-semibold mb-4 text-dark">Statistical Prediction Results</h4>
<div class="grid md:grid-cols-2 gap-6">
<div class="result-card bg-gray-50 p-6 rounded-lg">
<h5 class="font-medium text-gray-700 mb-2">Probability Over</h5>
<p id="statOverProb" class="text-3xl font-bold text-primary">--%</p>
<p class="text-sm text-gray-500 mt-1">(1−Φ((X−μ)/σ))×100%</p>
</div>
<div class="result-card bg-gray-50 p-6 rounded-lg">
<h5 class="font-medium text-gray-700 mb-2">Probability Under</h5>
<p id="statUnderProb" class="text-3xl font-bold text-primary">--%</p>
<p class="text-sm text-gray-500 mt-1">Φ((X−μ)/σ)×100%</p>
</div>
</div>
<div class="mt-6">
<button id="saveStatistical" class="bg-accent text-white px-4 py-2 rounded-lg font-medium hover:bg-blue-500 transition">Save for Comparison</button>
</div>
</div>
</div>
</div>
<!-- Compare Results -->
<div id="compareContent" class="calculator-content hidden">
<div class="max-w-4xl mx-auto bg-gray-50 rounded-xl p-8 card-shadow">
<h3 class="text-2xl font-semibold mb-6 text-dark">Compare Calculation Methods</h3>
<div id="noSavedResults" class="text-center py-8">
<i class="fas fa-exchange-alt text-4xl text-gray-300 mb-4"></i>
<p class="text-gray-500">No saved results to compare yet. Calculate and save results from the other tabs to compare them here.</p>
</div>
<div id="comparisonResults" class="hidden">
<div class="grid md:grid-cols-2 gap-6 mb-8">
<div class="bg-white p-6 rounded-lg card-shadow">
<h4 class="text-lg font-semibold mb-4" id="compareMethod1">Method 1</h4>
<div class="space-y-4">
<div>
<p class="text-gray-600">Over Probability</p>
<p class="text-xl font-bold" id="compareOver1">--%</p>
</div>
<div>
<p class="text-gray-600">Under Probability</p>
<p class="text-xl font-bold" id="compareUnder1">--%</p>
</div>
</div>
</div>
<div class="bg-white p-6 rounded-lg card-shadow">
<h4 class="text-lg font-semibold mb-4" id="compareMethod2">Method 2</h4>
<div class="space-y-4">
<div>
<p class="text-gray-600">Over Probability</p>
<p class="text-xl font-bold" id="compareOver2">--%</p>
</div>
<div>
<p class="text-gray-600">Under Probability</p>
<p class="text-xl font-bold" id="compareUnder2">--%</p>
</div>
</div>
</div>
</div>
<div class="bg-white p-6 rounded-lg card-shadow">
<h4 class="text-lg font-semibold mb-4">Comparison Analysis</h4>
<div class="space-y-4">
<div>
<p class="text-gray-600">Over Probability Difference</p>
<p class="text-xl font-bold" id="overDiff">--%</p>
</div>
<div>
<p class="text-gray-600">Under Probability Difference</p>
<p class="text-xl font-bold" id="underDiff">--%</p>
</div>
<div>
<p class="text-gray-600">Recommendation</p>
<p class="text-lg font-semibold" id="recommendation">--</p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- How to Use Section -->
<section id="how-to-use" class="py-12 bg-gray-50">
<div class="container mx-auto px-4">
<h2 class="text-3xl font-bold text-center mb-12 text-dark">How to Use the Calculator</h2>
<div class="max-w-4xl mx-auto">
<div class="bg-white rounded-xl p-8 card-shadow mb-8">
<h3 class="text-2xl font-semibold mb-4 text-dark flex items-center">
<i class="fas fa-percentage mr-3 text-primary"></i> No-Vig Calculator
</h3>
<div class="space-y-4">
<p>1. <strong>Find player prop odds</strong> from sportsbooks like FanDuel (search at <a href="https://sportsbook.fanduel.com/search" class="text-accent hover:underline" target="_blank">sportsbook.fanduel.com/search</a>)</p>
<p>2. <strong>Enter the American odds</strong> for both Over and Under (e.g., -122 for Over, +162 for Under)</p>
<p>3. Optionally enter the player name and stat type for reference</p>
<p>4. Click "Calculate No-Vig Probabilities" to see the true probabilities without the bookmaker's vig</p>
<p>5. Save results to compare with other methods</p>
</div>
</div>
<div class="bg-white rounded-xl p-8 card-shadow mb-8">
<h3 class="text-2xl font-semibold mb-4 text-dark flex items-center">
<i class="fas fa-chart-line mr-3 text-primary"></i> Statistical Prediction
</h3>
<div class="space-y-4">
<p>1. <strong>Determine the projected mean (μ)</strong> for the player's performance (based on historical data or projections)</p>
<p>2. <strong>Enter the standard deviation (σ)</strong> or calculate it using historical data</p>
<p>3. <strong>Input the line value (X)</strong> you want to evaluate against</p>
<p>4. Optionally enter the player name and stat type for reference</p>
<p>5. Click "Calculate Statistical Probabilities" to see the predicted probabilities</p>
<p>6. Save results to compare with other methods</p>
</div>
</div>
<div class="bg-white rounded-xl p-8 card-shadow">
<h3 class="text-2xl font-semibold mb-4 text-dark flex items-center">
<i class="fas fa-balance-scale mr-3 text-primary"></i> Compare Results
</h3>
<div class="space-y-4">
<p>1. <strong>Calculate and save results</strong> from both methods above</p>
<p>2. <strong>Navigate to the Compare tab</strong> to view side-by-side analysis</p>
<p>3. The calculator will show probability differences and provide a recommendation</p>
<p>4. Use this comparison to identify potential value bets where methods disagree</p>
</div>
</div>
</div>
</div>
</section>
<!-- About Section -->
<section id="about" class="py-12 bg-white">
<div class="container mx-auto px-4">
<div class="max-w-4xl mx-auto">
<h2 class="text-3xl font-bold text-center mb-12 text-dark">About SportsBet Pro Calculator</h2>
<div class="bg-gray-50 rounded-xl p-8 card-shadow">
<div class="space-y-6">
<div>
<h3 class="text-xl font-semibold mb-2 text-dark">No-Vig Probability</h3>
<p class="text-gray-700">The no-vig calculator removes the bookmaker's margin (vigorish) to show the true implied probabilities of each outcome. This helps you understand the market's actual assessment of probabilities without the book's built-in advantage.</p>
</div>
<div>
<h3 class="text-xl font-semibold mb-2 text-dark">Statistical Prediction</h3>
<p class="text-gray-700">Using the normal distribution formula, this method calculates the probability of a player exceeding or falling short of a given line based on their projected performance (mean) and consistency (standard deviation). The formula used is:</p>
<div class="bg-gray-100 p-4 rounded-lg mt-2">
<p class="font-mono text-sm">
Probability Over = (1−Φ((X−μ)/σ))×100%<br>
Probability Under = Φ((X−μ)/σ)×100%
</p>
</div>
<p class="text-gray-700 mt-2">Where Φ is the cumulative distribution function of the standard normal distribution.</p>
</div>
<div>
<h3 class="text-xl font-semibold mb-2 text-dark">Standard Deviation</h3>
<p class="text-gray-700">Standard deviation (σ) measures how spread out a player's performance is from their average. A higher σ means more variability in outcomes. You can calculate σ by entering historical performance data for the player.</p>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- Footer -->
<footer class="bg-dark text-white py-8">
<div class="container mx-auto px-4">
<div class="flex flex-col md:flex-row justify-between items-center">
<div class="flex items-center space-x-2 mb-4 md:mb-0">
<i class="fas fa-calculator text-2xl"></i>
<span class="text-xl font-bold">SportsBet Pro</span>
</div>
<div class="text-center md:text-right">
<p class="text-gray-400">© 2023 SportsBet Pro Calculator. All rights reserved.</p>
<p class="text-gray-400 text-sm mt-1">For entertainment purposes only. Gamble responsibly.</p>
</div>
</div>
</div>
</footer>
<script>
// Tab functionality
document.addEventListener('DOMContentLoaded', function() {
const tabs = {
noVig: {
tab: document.getElementById('noVigTab'),
content: document.getElementById('noVigContent')
},
statistical: {
tab: document.getElementById('statisticalTab'),
content: document.getElementById('statisticalContent')
},
compare: {
tab: document.getElementById('compareTab'),
content: document.getElementById('compareContent')
}
};
// Initialize first tab as active
activateTab('noVig');
// Tab click events
tabs.noVig.tab.addEventListener('click', () => activateTab('noVig'));
tabs.statistical.tab.addEventListener('click', () => activateTab('statistical'));
tabs.compare.tab.addEventListener('click', () => activateTab('compare'));
function activateTab(activeTab) {
// Reset all tabs and contents
Object.keys(tabs).forEach(tab => {
tabs[tab].tab.classList.remove('tab-active');
tabs[tab].content.classList.add('hidden');
});
// Activate selected tab
tabs[activeTab].tab.classList.add('tab-active');
tabs[activeTab].content.classList.remove('hidden');
// Update comparison view if needed
if (activeTab === 'compare') {
updateComparisonView();
}
}
// No-Vig Calculator
document.getElementById('calculateNoVig').addEventListener('click', calculateNoVig);
function calculateNoVig() {
const overOdds = parseFloat(document.getElementById('overOdds').value);
const underOdds = parseFloat(document.getElementById('underOdds').value);
if (isNaN(overOdds) || isNaN(underOdds)) {
alert('Please enter valid odds for both Over and Under');
return;
}
// Convert American odds to implied probabilities
const overProb = americanToImplied(overOdds);
const underProb = americanToImplied(underOdds);
// Calculate no-vig probabilities
const totalProb = overProb + underProb;
const noVigOver = (overProb / totalProb) * 100;
const noVigUnder = (underProb / totalProb) * 100;
// Display results
document.getElementById('overProb').textContent = noVigOver.toFixed(2) + '%';
document.getElementById('underProb').textContent = noVigUnder.toFixed(2) + '%';
document.getElementById('noVigResults').classList.remove('hidden');
// Save for comparison
window.noVigResult = {
method: 'No-Vig Probability',
over: noVigOver,
under: noVigUnder,
player: document.getElementById('playerName').value || 'Unknown Player',
stat: document.getElementById('statType').value
};
}
function americanToImplied(odds) {
if (odds > 0) {
return 100 / (odds + 100);
} else {
return -odds / (-odds + 100);
}
}
// Statistical Calculator
document.getElementById('calculateStatistical').addEventListener('click', calculateStatistical);
document.getElementById('calculateStdDev').addEventListener('click', showStdDevModal);
document.getElementById('cancelStdDev').addEventListener('click', hideStdDevModal);
document.getElementById('confirmStdDev').addEventListener('click', calculateStdDevFromData);
function calculateStatistical() {
const mean = parseFloat(document.getElementById('meanValue').value);
const stdDev = parseFloat(document.getElementById('stdDevValue').value);
const line = parseFloat(document.getElementById('lineValue').value);
if (isNaN(mean) || isNaN(stdDev) || isNaN(line)) {
alert('Please enter valid numbers for Mean, Standard Deviation, and Line Value');
return;
}
if (stdDev <= 0) {
alert('Standard Deviation must be greater than 0');
return;
}
// Calculate z-score
const z = (line - mean) / stdDev;
// Calculate probabilities using standard normal CDF approximation
const underProb = standardNormalCDF(z) * 100;
const overProb = (1 - standardNormalCDF(z)) * 100;
// Display results
document.getElementById('statOverProb').textContent = overProb.toFixed(2) + '%';
document.getElementById('statUnderProb').textContent = underProb.toFixed(2) + '%';
document.getElementById('statisticalResults').classList.remove('hidden');
// Save for comparison
window.statisticalResult = {
method: 'Statistical Prediction',
over: overProb,
under: underProb,
player: document.getElementById('statPlayerName').value || 'Unknown Player',
stat: document.getElementById('statStatType').value
};
}
// Standard Normal CDF approximation
function standardNormalCDF(z) {
// Abramowitz and Stegun approximation
const t = 1 / (1 + 0.2316419 * Math.abs(z));
const d = 0.3989423 * Math.exp(-z * z / 2);
let prob = d * t * (0.3193815 + t * (-0.3565638 + t * (1.781478 + t * (-1.821256 + t * 1.330274))));
if (z > 0) {
prob = 1 - prob;
}
return prob;
}
function showStdDevModal() {
document.getElementById('stdDevModal').classList.remove('hidden');
}
function hideStdDevModal() {
document.getElementById('stdDevModal').classList.add('hidden');
}
function calculateStdDevFromData() {
const dataInput = document.getElementById('historicalData').value;
const dataPoints = dataInput.split(',').map(item => parseFloat(item.trim())).filter(item => !isNaN(item));
if (dataPoints.length < 2) {
alert('Please enter at least 2 valid numbers');
return;
}
// Calculate mean
const mean = dataPoints.reduce((sum, val) => sum + val, 0) / dataPoints.length;
// Calculate variance
const variance = dataPoints.reduce((sum, val) => sum + Math.pow(val - mean, 2), 0) / dataPoints.length;
// Standard deviation is square root of variance
const stdDev = Math.sqrt(variance);
// Update the standard deviation field
document.getElementById('stdDevValue').value = stdDev.toFixed(2);
// Close modal
hideStdDevModal();
}
// Save buttons
document.getElementById('saveNoVig').addEventListener('click', () => {
if (window.noVigResult) {
localStorage.setItem('savedNoVigResult', JSON.stringify(window.noVigResult));
alert('No-Vig results saved for comparison');
} else {
alert('Please calculate results first');
}
});
document.getElementById('saveStatistical').addEventListener('click', () => {
if (window.statisticalResult) {
localStorage.setItem('savedStatisticalResult', JSON.stringify(window.statisticalResult));
alert('Statistical results saved for comparison');
} else {
alert('Please calculate results first');
}
});
// Comparison view
function updateComparisonView() {
const noVigResult = JSON.parse(localStorage.getItem('savedNoVigResult'));
const statisticalResult = JSON.parse(localStorage.getItem('savedStatisticalResult'));
if (!noVigResult && !statisticalResult) {
document.getElementById('noSavedResults').classList.remove('hidden');
document.getElementById('comparisonResults').classList.add('hidden');
return;
}
document.getElementById('noSavedResults').classList.add('hidden');
document.getElementById('comparisonResults').classList.remove('hidden');
if (noVigResult && statisticalResult) {
// Both results available
document.getElementById('compareMethod1').textContent = noVigResult.method;
document.getElementById('compareOver1').textContent = noVigResult.over.toFixed(2) + '%';
document.getElementById('compareUnder1').textContent = noVigResult.under.toFixed(2) + '%';
document.getElementById('compareMethod2').textContent = statisticalResult.method;
document.getElementById('compareOver2').textContent = statisticalResult.over.toFixed(2) + '%';
document.getElementById('compareUnder2').textContent = statisticalResult.under.toFixed(2) + '%';
// Calculate differences
const overDiff = (statisticalResult.over - noVigResult.over).toFixed(2);
const underDiff = (statisticalResult.under - noVigResult.under).toFixed(2);
document.getElementById('overDiff').textContent = (overDiff > 0 ? '+' : '') + overDiff + '%';
document.getElementById('underDiff').textContent = (underDiff > 0 ? '+' : '') + underDiff + '%';
// Recommendation
let recommendation = '';
const threshold = 5; // Percentage difference threshold for recommendation
if (Math.abs(overDiff) > threshold || Math.abs(underDiff) > threshold) {
if (statisticalResult.over > noVigResult.over + threshold) {
recommendation = 'Statistical model suggests higher Over probability - consider Over bet';
} else if (statisticalResult.under > noVigResult.under + threshold) {
recommendation = 'Statistical model suggests higher Under probability - consider Under bet';
} else if (noVigResult.over > statisticalResult.over + threshold) {
recommendation = 'Market suggests higher Over probability than model - caution on Over bet';
} else if (noVigResult.under > statisticalResult.under + threshold) {
recommendation = 'Market suggests higher Under probability than model - caution on Under bet';
}
} else {
recommendation = 'Methods generally agree - no strong edge identified';
}
document.getElementById('recommendation').textContent = recommendation;
} else if (noVigResult) {
// Only no-vig result available
document.getElementById('compareMethod1').textContent = noVigResult.method;
document.getElementById('compareOver1').textContent = noVigResult.over.toFixed(2) + '%';
document.getElementById('compareUnder1').textContent = noVigResult.under.toFixed(2) + '%';
document.getElementById('compareMethod2').textContent = 'No saved statistical results';
document.getElementById('compareOver2').textContent = '--%';
document.getElementById('compareUnder2').textContent = '--%';
document.getElementById('overDiff').textContent = '--%';
document.getElementById('underDiff').textContent = '--%';
document.getElementById('recommendation').textContent = 'Save statistical results to compare';
} else if (statisticalResult) {
// Only statistical result available
document.getElementById('compareMethod1').textContent = statisticalResult.method;
document.getElementById('compareOver1').textContent = statisticalResult.over.toFixed(2) + '%';
document.getElementById('compareUnder1').textContent = statisticalResult.under.toFixed(2) + '%';
document.getElementById('compareMethod2').textContent = 'No saved no-vig results';
document.getElementById('compareOver2').textContent = '--%';
document.getElementById('compareUnder2').textContent = '--%';
document.getElementById('overDiff').textContent = '--%';
document.getElementById('underDiff').textContent = '--%';
document.getElementById('recommendation').textContent = 'Save no-vig results to compare';
}
}
});
</script>
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