Simulate fantasy football drafts, analyze player value, and optimize your draft strategy with our advanced mock draft calculator. Understand draft projections and make informed decisions to dominate your league.
Mock Draft Strategy Tool
Enter your spot in the draft order (e.g., 1st pick, 12th pick).
The total number of teams in your league.
The total number of rounds in your league's draft.
Estimate the general "value" of a typical pick (e.g., 50 is average).
How much more valuable are QBs compared to average picks? (e.g., 1.2 means 20% more valuable).
How much more valuable are RBs compared to average picks?
How much more valuable are WRs compared to average picks?
How much more valuable are TEs compared to average picks?
How much more valuable are Kickers/Defenses compared to average picks?
Your Draft Analysis
—
—
Your Pick Value
—
Average Pick Rank
—
Projected Round Value
Formula: Your Pick Value is calculated by adjusting the average player value based on your draft position and the relative value weights of different positions. The 'Overall Pick Value' is a normalized score. The 'Average Pick Rank' estimates where your pick falls in terms of overall draft equity.
Projected Player Value by Position (Based on Input Weights)
Position
Value Weight
Projected Value
Player Value Distribution Across Draft Rounds
What is a Fantasy Football Mock Draft Calculator?
A Fantasy Football Mock Draft Calculator is an advanced analytical tool designed to help fantasy football managers refine their draft strategies. It goes beyond simple player rankings by incorporating your specific league settings and draft position to project the relative value of each pick. This allows you to understand the expected talent available at your turn, identify potential value picks, and avoid reaching for players. The primary goal of using a fantasy football mock draft calculator is to make more informed decisions during your actual fantasy draft, increasing your chances of building a championship-caliber team.
Who should use it: Anyone serious about winning their fantasy football league should consider using a fantasy football mock draft calculator. This includes:
Beginners looking to understand draft dynamics and player valuation.
Intermediate players aiming to optimize their draft board and strategy.
Experienced managers seeking a competitive edge through data-driven insights.
Leaguemates who want to simulate different draft scenarios.
Common misconceptions:
"It replaces expert rankings." It complements them. It helps you contextualize rankings within your league's specific draft flow.
"It guarantees a win." No tool can guarantee a championship, as real-world performance and luck play a role. However, it significantly improves decision-making.
"It's too complicated." Modern calculators are designed to be user-friendly, requiring only a few key inputs about your league and preferences. Our mock draft strategy tool simplifies this process.
"All mock drafts are the same." Our fantasy football mock draft calculator allows customization based on weights for different positions, acknowledging that league-wide perceptions of player value vary.
Fantasy Football Mock Draft Calculator Formula and Mathematical Explanation
The core of this fantasy football mock draft calculator lies in estimating the "value" of a specific draft slot. This value is influenced by several factors, including the overall talent pool, the relative desirability of different positions, and your position in the draft order.
The calculation aims to provide a normalized score for your pick and to contextualize it within the entire draft.
Step-by-Step Derivation:
Calculate Base Position Value: This is the fundamental value of a pick at a given slot, considering the league size and total rounds. A simplified approach often involves assuming a linear distribution of talent or using a more complex curve. For this calculator, we'll use a normalized rank.
Incorporate Position Weights: Different positions are valued differently in most fantasy leagues. A running back or wide receiver might be considered more crucial than a tight end or kicker. These weights adjust the "average player value" for the specific position you might be targeting.
Calculate Pick Equity/Value: The final value of your specific pick is determined by multiplying the adjusted average player value (considering position weights) by a factor representing your draft slot's perceived importance. A higher perceived importance means a higher value.
Normalize Overall Score: The "Overall Pick Value" is a standardized metric, often on a scale (like 0-100), to compare your pick's strength against all other potential picks in the draft.
Variable Explanations:
Draft Position: Your specific slot in the first round (e.g., pick #1, pick #10).
League Size: The total number of teams participating.
Total Draft Rounds: The duration of the draft.
Average Player Value: A baseline estimate of talent across the entire player pool, often normalized.
Position Weights (QB, RB, WR, TE, K/DST): Multipliers reflecting how much more or less valuable a player at that position is perceived to be compared to the average player.
Variables Table:
Variable
Meaning
Unit
Typical Range
Draft Position
Your turn in the draft order (e.g., 1st pick)
Integer
1 to League Size
League Size
Total number of teams in the league
Integer
4 to 16
Total Draft Rounds
Total number of rounds in the draft
Integer
5 to 25
Average Player Value
Baseline estimate of player talent quality
Score (1-100)
1 to 100
Position Weight (e.g., RB Weight)
Multiplier for a position's relative value
Decimal
0.1 to 2.0
Projected Pick Value
Estimated value of your specific draft slot
Score (Normalized)
Varies
Average Pick Rank
Relative ranking of your pick's equity
Rank
1 to (League Size * Total Rounds)
Projected Round Value
Value of your pick relative to others in its round
Example 1: Early Draft Position in a Competitive League
Scenario: You have the #3 overall pick in a 12-team league with 16 rounds. You value RBs and WRs highly.
Inputs:
Your Draft Position: 3
League Size: 12
Total Draft Rounds: 16
Average Player Value: 65
RB Weight: 1.4
WR Weight: 1.4
QB Weight: 1.1
TE Weight: 0.9
K/DST Weight: 0.3
Calculator Output (Illustrative):
Overall Pick Value: 92.5 (Excellent)
Your Pick Value: 90.3
Average Pick Rank: ~3.5
Projected Round Value: 95.1
Interpretation: With the #3 pick, you are in a prime position to select one of the top-tier players, likely an elite RB or WR, given their elevated weights. The calculator confirms this high value, indicating you're getting a disproportionately strong player compared to the average pick. This slot equity is crucial for building a strong foundation. Using our mock draft strategy tool helps solidify this perception.
Example 2: Late Draft Position in a Smaller League
Scenario: You have the #10 pick in a 10-team league with 15 rounds. You're looking for a balanced team build.
Inputs:
Your Draft Position: 10
League Size: 10
Total Draft Rounds: 15
Average Player Value: 55
RB Weight: 1.2
WR Weight: 1.2
QB Weight: 1.0
TE Weight: 1.0
K/DST Weight: 0.4
Calculator Output (Illustrative):
Overall Pick Value: 68.2 (Good Value)
Your Pick Value: 58.1
Average Pick Rank: ~12.5
Projected Round Value: 70.0
Interpretation: At pick #10 in a smaller league, the talent drop-off might be more noticeable. The calculator shows a solid, but not elite, value for this pick. It suggests that while you can still get a good player, you might need to be strategic about reaching for value at RB/WR or consider a top QB/TE if they fall. The fantasy football mock draft calculator helps you understand the reduced "pick equity" compared to earlier slots and adjust your draft board accordingly.
How to Use This Fantasy Football Mock Draft Calculator
Our fantasy football mock draft calculator is designed for ease of use, providing actionable insights with just a few inputs. Follow these steps to optimize your draft preparation:
Input Your League Settings:
Your Draft Position: Enter where you pick in the first round (1-12).
League Size: Specify the total number of teams (4-16).
Total Draft Rounds: Input the total rounds for your league's draft (5-25).
Adjust Player Value Weights:
Average Player Value: Set a baseline for player talent (1-100). Use a higher number for leagues with very deep talent pools or strong consensus rankings.
Position Weights: This is crucial. Adjust the sliders or input values (0.1-2.0) for QB, RB, WR, TE, and K/DST. A weight of 1.0 means the position is valued at the average. A weight of 1.3 means it's considered 30% more valuable than average. Consider your league's scoring and draft trends. For example, if your league heavily favors RBs and WRs, increase their weights.
Calculate Draft Value: Click the "Calculate Draft Value" button. The calculator will instantly process your inputs.
Interpret the Results:
Overall Pick Value: This is your main score (0-100), indicating the strength of your draft slot. Higher is better.
Your Pick Value: A raw score representing the estimated value of your specific pick, considering all factors.
Average Pick Rank: A theoretical rank that equates your pick's value to a single, averaged pick across the entire draft.
Projected Round Value: How valuable your pick is relative to other picks within the same round.
Position Value Table: See how the calculator ranks the relative value of players at each position based on your input weights.
Value Distribution Chart: Visualize how player value generally declines throughout the draft.
Make Decisions: Use this information to guide your draft. If your pick value is high, target elite players. If it's lower, look for value or consider a different positional strategy. The chart helps illustrate when major talent drops might occur.
Copy & Reset: Use "Copy Results" to save your analysis or share it. Use "Reset Defaults" to start fresh with standard settings.
Key Factors That Affect Fantasy Football Mock Draft Results
League Scoring System: The most significant factor. PPR (Points Per Reception) leagues dramatically increase the value of pass-catching RBs and WRs. Standard leagues might favor volume players. Ensure your position weights reflect your specific scoring rules.
Roster Requirements: Leagues with deep starting lineups (e.g., 3 WRs, 2 RBs, 1 TE, 1 FLEX) create higher demand for players at those positions, increasing their value. Shallow leagues (e.g., 2 RBs, 2 WRs) might make positional scarcity less critical.
ADP (Average Draft Position) Trends: While this calculator uses your inputs, real drafts are influenced by common ADP data. If a player consistently goes much earlier or later than expected in actual drafts, it impacts their value on the board. Our tool helps you *create* your own projected ADP based on your weights.
Player Tiers and Depth: Beyond simple weights, understanding player tiers is crucial. Is there a significant drop-off after the top 5 RBs? Is WR talent deep into the 5th round? A fantasy football mock draft calculator can highlight these potential drops, but human analysis is needed to define tiers precisely.
"Zero RB" or "Hero RB" Strategies: Some managers intentionally de-emphasize RB early or focus heavily on one top RB. While our calculator uses general weights, your personal strategy might involve deviating significantly based on available talent and perceived value.
Manager Tendencies: In live drafts, owners often reach for specific players they like, overvalue certain positions (like QBs in some leagues), or fall for hype. A fantasy football mock draft calculator provides a baseline, but adapting to your specific opponents is key.
Rookie Impact & Player Movement: Off-season changes like trades, free agency, and coaching shifts can dramatically alter a player's situation and thus their value. Keep abreast of news that might shift consensus rankings and your own positional weights.
The most critical inputs are your **League Size**, **Draft Position**, and the **Position Weights**. These directly influence the perceived value of your pick and the overall draft landscape. Getting these right provides the most accurate projection.
Can I use this calculator for different draft types (e.g., Dynasty, Auction)?
This specific calculator is optimized for *redraft* leagues using a traditional snake or linear draft format. Auction draft values and dynasty rookie draft considerations require different calculation models. However, the underlying principles of player valuation are relevant.
How do I determine the "Average Player Value"?
The "Average Player Value" is a baseline. A common approach is to consider the average ranking of players available after the first few rounds or to simply use a middle-ground number like 50-60 if you're unsure. It acts as a scaling factor for your positional weights. Adjusting it changes the scale of the output values but not their relative order based on weights.
What if my league heavily drafts Kickers and Defenses early?
If your league has a tendency to draft Kickers (K) and Defenses (DST) much earlier than typical, you should increase the 'K/DST Value Weight'. This fantasy football mock draft calculator allows you to tailor the weights to your league's specific tendencies, even if they differ from the norm.
How does draft position affect value?
Earlier draft positions generally have higher "pick equity" because you are selecting players who are typically ranked higher and are perceived as more valuable. The calculator quantifies this by adjusting the base value based on your chosen draft slot. Picks near the turn (e.g., 1.12, 2.01) can sometimes offer unique value due to consolidating two picks.
Why is the "Overall Pick Value" a normalized score?
A normalized score (like 0-100) makes it easier to compare the value of different draft slots and understand how strong your position is relative to the entire draft pool. It provides a universal benchmark for evaluating draft equity.
What's the difference between "Your Pick Value" and "Overall Pick Value"?
"Your Pick Value" is a raw, calculated score based on inputs and weights. The "Overall Pick Value" takes that raw score and normalizes it against the entire draft's projected value range, often mapping it to a 0-100 scale for easier interpretation and comparison.
Can I save my results?
Yes, the calculator includes a "Copy Results" button. This copies the main result, intermediate values, and key assumptions (like league size and weights) to your clipboard, allowing you to paste them into a document or notes for future reference.
Related Tools and Internal Resources
Fantasy Football RankingsExplore our comprehensive player rankings to supplement your draft strategy.
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var leagueSizeInput = document.getElementById('leagueSize');
var numRoundsInput = document.getElementById('numRounds');
var avgPickValueInput = document.getElementById('avgPickValue');
var qbWeightInput = document.getElementById('qbWeight');
var rbWeightInput = document.getElementById('rbWeight');
var wrWeightInput = document.getElementById('wrWeight');
var teWeightInput = document.getElementById('teWeight');
var kDstWeightInput = document.getElementById('kDstWeight');
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var wrWeightError = document.getElementById('wrWeightError');
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var projectedPickValueDisplay = document.getElementById('projectedPickValue');
var averagePickRankDisplay = document.getElementById('averagePickRank');
var projectedRoundValueDisplay = document.getElementById('projectedRoundValue');
var positionValueTableBody = document.querySelector('#positionValueTable tbody');
var chartCanvas = document.getElementById('valueDistributionChart');
var chartInstance = null; // To hold the chart instance
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function calculateDraftValue() {
// Validate all inputs first
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allValid &= validateInput(draftPositionInput, draftPositionError, 1, 12, true);
allValid &= validateInput(leagueSizeInput, leagueSizeError, 4, 16, true);
allValid &= validateInput(numRoundsInput, numRoundsError, 5, 25, true);
allValid &= validateInput(avgPickValueInput, avgPickValueError, 1, 100, false);
allValid &= validateInput(qbWeightInput, qbWeightError, 0.5, 2.0, false);
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allValid &= validateInput(kDstWeightInput, kDstWeightError, 0.1, 0.8, false);
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projectedPickValueDisplay.textContent = '–';
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positionValueTableBody.innerHTML = '
Please correct the errors above.
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updateChart([], []); // Clear chart
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}
var draftPosition = parseFloat(draftPositionInput.value);
var leagueSize = parseInt(leagueSizeInput.value);
var numRounds = parseInt(numRoundsInput.value);
var avgPickValue = parseFloat(avgPickValueInput.value);
var qbWeight = parseFloat(qbWeightInput.value);
var rbWeight = parseFloat(rbWeightInput.value);
var wrWeight = parseFloat(wrWeightInput.value);
var teWeight = parseFloat(teWeightInput.value);
var kDstWeight = parseFloat(kDstWeightInput.value);
// Simple calculation logic:
// 1. Calculate total picks
var totalPicks = leagueSize * numRounds;
// 2. Calculate a base "pick equity" score for the current position.
// This is a simplified linear or slightly curved distribution.
// Let's use a score where later picks have less equity.
// We can map draft position to a score from totalPicks down to 1.
// Example: pos 1 gets score totalPicks, pos totalPicks gets score 1.
// Or, more practically, map it to a perceived value range.
// Let's try mapping draftPosition (1-12) to a score relative to league size.
var draftPositionNormalized = (leagueSize – draftPosition + 1) / leagueSize; // Higher for earlier picks
// 3. Calculate weighted average player value based on inputs.
// This is a tricky part as we don't know the *distribution* of players.
// A common approach is to calculate the value of *each position slot*.
// Let's assume typical draft distribution: many RBs/WRs, fewer QBs/TEs, even fewer Ks/DSTs.
// A simple approach: calculate the "average value" for each position type based on weights.
var weights = {
'QB': qbWeight,
'RB': rbWeight,
'WR': wrWeight,
'TE': teWeight,
'K/DST': kDstWeight
};
var positionValues = {};
var totalWeightedValue = 0;
var numberOfPositionsConsidered = 0;
// Approximate distribution of players drafted per position type (can be adjusted)
// Example: In a 12-team league with 15 rounds, ~180 picks.
// Rough guess: 24 QBs, 48 RBs, 48 WRs, 12 TEs, 12 K/DST = 144. Leaves room for FLEX.
// Let's simplify by assigning a 'share' of picks to each position type.
var pickShares = {
'QB': 0.15, // ~15% of picks are QBs
'RB': 0.35, // ~35%
'WR': 0.35, // ~35%
'TE': 0.10, // ~10%
'K/DST': 0.05 // ~5%
};
var totalShare = 0;
for(var pos in pickShares) totalShare += pickShares[pos];
// Normalize shares if they don't sum to 1 perfectly
for(var pos in pickShares) pickShares[pos] /= totalShare;
for (var pos in weights) {
// Calculate weighted value for this position type
var weightedValue = avgPickValue * weights[pos];
positionValues[pos] = weightedValue;
// We add this to a total based on its assumed share of drafted players
totalWeightedValue += weightedValue * pickShares[pos];
numberOfPositionsConsidered++;
}
// Calculate the "Projected Pick Value" for your specific slot.
// This could be avgPickValue adjusted by your draftPositionNormalized and weights.
// Let's calculate a theoretical value for THIS pick based on average talent and weights.
// We can't know *which* position you'll pick, so we use an average of position values weighted by their draft share.
var theoreticalAvgPickValue = 0;
for (var pos in positionValues) {
theoreticalAvgPickValue += positionValues[pos] * pickShares[pos];
}
// The value of YOUR specific pick slot should be related to the average,
// but also influenced by the draft position's overall equity.
// Let's simplify: Your Pick Value = Average Player Value * (1 + (draftPositionNormalized – 0.5) * 0.5) * (average of position weights for typical picks)
// This is getting complex. Let's use a simpler model for demonstration:
// Value of your pick = Average Player Value * (weight factor related to draft position) * (average positional value)
// Simpler Approach:
// 1. Base value of the pick slot relative to average
// Let's say pick 1 is value 1.0, pick leagueSize is value (1/leagueSize).
// Map draftPosition (1..leagueSize) to a relative pick value factor.
// Let's try: factor = (leagueSize – draftPosition + 1) / leagueSize * 1.5 + 0.25 (adjusting range)
// This makes pick 1 have factor ~1.75, pick 12 have factor ~0.25
var pickSlotFactor = ((leagueSize – draftPosition + 1) / leagueSize) * 1.0 + 0.5; // Scale factor for pick slot
pickSlotFactor = Math.max(0.5, Math.min(1.5, pickSlotFactor)); // Clamp between 0.5 and 1.5
// 2. Calculate average weighted position value
var avgWeightedPosValue = (positionValues['QB'] * pickShares['QB'] +
positionValues['RB'] * pickShares['RB'] +
positionValues['WR'] * pickShares['WR'] +
positionValues['TE'] * pickShares['TE'] +
positionValues['K/DST'] * pickShares['K/DST']);
// 3. Projected Pick Value = Base Avg Player Value * Slot Factor * Avg Weighted Pos Value (normalized?)
// Let's try:
var projectedPickValue = avgPickValue * pickSlotFactor; // This represents the *potential* value at your slot.
// 4. Overall Pick Value: Normalize projectedPickValue against a theoretical max/min.
// A simpler way: Use draft position rank. Total picks = leagueSize * numRounds.
// Your pick number = (draftPosition – 1) * 2 + 1 (if snake, assuming pick 1 is turn 1, pick 12 is turn 1, pick 13 is turn 2 etc)
// For simplicity, let's treat draftPosition as a global pick number for now, or scale it.
// Let's calculate a rank score. Total slots = leagueSize * numRounds.
// Your effective pick number in sequence:
var effectivePickNumber = (Math.ceil(draftPosition / leagueSize) – 1) * leagueSize + draftPosition; // Crude approximation for turn-based
if (draftPosition > leagueSize / 2) { // Handles snake draft turn
effectivePickNumber = (Math.ceil(draftPosition / leagueSize) – 1) * leagueSize + (leagueSize – draftPosition + 1);
} else {
effectivePickPosition = draftPosition;
}
// Recalculate effective pick number more accurately for snake:
var roundNumber = Math.ceil(draftPosition / leagueSize);
var pickInRound = draftPosition % leagueSize;
if (pickInRound === 0) pickInRound = leagueSize;
var currentPickGlobalIndex;
if (roundNumber % 2 !== 0) { // Odd round (1, 3, 5…) – standard order
currentPickGlobalIndex = (roundNumber – 1) * leagueSize + pickInRound;
} else { // Even round (2, 4, 6…) – reversed order
currentPickGlobalIndex = (roundNumber – 1) * leagueSize + (leagueSize – pickInRound + 1);
}
currentPickGlobalIndex = Math.max(1, currentPickGlobalIndex); // Ensure it's at least 1
// Average Pick Rank: Map the global index to a rank out of total picks.
var averagePickRank = currentPickGlobalIndex; // Simpler: just use the calculated global index.
// Projected Round Value: Compare pick's value to the average value in its round.
// This requires estimating value distribution per round, which is complex.
// Let's simplify: Project value based on avgPickValue and a round decay factor.
var roundDecayFactor = Math.pow(0.9, roundNumber – 1); // Example decay
var projectedRoundValue = avgPickValue * pickSlotFactor * roundDecayFactor;
// Overall Pick Value: Normalize the projectedPickValue (or related metric) to 0-100.
// Let's use `projectedPickValue` and scale it based on `avgPickValue`.
// A pick value significantly higher than avgPickValue is good.
// A pick value significantly lower than avgPickValue is bad.
// Let's use the `pickSlotFactor` and `avgWeightedPosValue` as main drivers.
var normalizedScore = (pickSlotFactor * avgWeightedPosValue / avgPickValue) * 100; // This is closer to value relative to average
normalizedScore = (normalizedScore + (avgWeightedPosValue / avgPickValue) * 50) / 2; // Blend with base avg pos value
normalizedScore = Math.max(0, Math.min(100, normalizedScore)); // Clamp to 0-100
// Re-evaluate simplified logic:
// Goal: OverallPickValue (0-100), ProjectedPickValue, AveragePickRank, ProjectedRoundValue.
// 1. Calculate base value of *any* pick at your position, independent of player specifics.
// Let's assign a value score to each possible pick slot (1 to totalPicks).
// We can model this as a curve. A simple curve: value = C / (pick_index ^ exponent)
// Let's use a simpler approach tied to draftPosition within the first round for now.
var normalizedDraftPosValue = (leagueSize – draftPosition + 1) / leagueSize; // 1.0 for pick 1, lower for later picks
var positionalEquity = normalizedDraftPosValue * 100; // Score 0-100 for your draft slot's overall potential.
// 2. Calculate the average weighted value of a player *if drafted at average*.
var avgWeightedPlayerValue = avgPickValue * (
(qbWeight * pickShares['QB']) +
(rbWeight * pickShares['RB']) +
(wrWeight * pickShares['WR']) +
(teWeight * pickShares['TE']) +
(kDstWeight * pickShares['K/DST'])
);
// 3. Projected Pick Value = Base Average Player Value * Positional Equity Factor
// Let's relate it back to avgPickValue.
var calculatedProjectedPickValue = avgPickValue * (1 + (normalizedDraftPosValue – 0.5) * 0.8); // Adjust avgPickValue based on draft position. Scale 0.8.
calculatedProjectedPickValue = Math.max(1, calculatedProjectedPickValue); // Ensure positive
// 4. Average Pick Rank: The global index of your pick.
var globalPickIndex = currentPickGlobalIndex; // Use the calculated index
// 5. Projected Round Value: Value relative to average within its round.
// Approx round decay: Value decreases by ~10% per round.
var roundFactor = Math.pow(0.9, roundNumber – 1);
var calculatedProjectedRoundValue = calculatedProjectedPickValue * roundFactor;
// 6. Overall Pick Value: Normalize everything.
// Let's scale `calculatedProjectedPickValue` relative to `avgPickValue` and `positionalEquity`.
// A good score combines the strength of the slot (positionalEquity) and the expected player value.
var finalOverallScore = (positionalEquity * 0.6) + (calculatedProjectedPickValue / avgPickValue * 100 * 0.4);
finalOverallScore = Math.max(0, Math.min(100, finalOverallScore));
// Update displays
overallPickValueDisplay.textContent = finalOverallScore.toFixed(1);
projectedPickValueDisplay.textContent = calculatedProjectedPickValue.toFixed(1);
averagePickRankDisplay.textContent = globalPickIndex; // Display global index
projectedRoundValueDisplay.textContent = calculatedProjectedRoundValue.toFixed(1);
// Update Table
positionValueTableBody.innerHTML = ";
var sortedPositions = Object.keys(weights).sort(function(a, b) {
return weights[b] – weights[a]; // Sort descending by weight
});
for (var i = 0; i < sortedPositions.length; i++) {
var pos = sortedPositions[i];
var weight = weights[pos];
var value = positionValues[pos]; // This was avgPickValue * weight
var tr = document.createElement('tr');
var tdPos = document.createElement('td');
tdPos.textContent = pos;
tr.appendChild(tdPos);
var tdWeight = document.createElement('td');
tdWeight.textContent = weight.toFixed(1);
tr.appendChild(tdWeight);
var tdValue = document.createElement('td');
// Show weighted value relative to base avgPickValue.
// This value represents the 'strength' of that position IF the avg player was that position.
tdValue.textContent = (avgPickValue * weight).toFixed(1);
tr.appendChild(tdValue);
positionValueTableBody.appendChild(tr);
}
// Update Chart Data
var chartLabels = [];
var chartData1 = []; // Pick Value over Rounds (using simplified decay)
var chartData2 = []; // Avg Player Value over Rounds (constant avgPickValue for simplicity)
for (var r = 1; r <= numRounds; r++) {
chartLabels.push('Round ' + r);
var roundFactor = Math.pow(0.9, r – 1); // Example decay factor
var roundPickValue = calculatedProjectedPickValue * roundFactor;
chartData1.push(roundPickValue.toFixed(1));
chartData2.push(avgPickValue.toFixed(1)); // Base average value remains constant per round
}
updateChart(chartLabels, chartData1, chartData2);
}
function updateChart(labels, data1, data2) {
if (chartInstance) {
chartInstance.destroy(); // Destroy previous chart if it exists
}
if (!chartCanvas || !chartCanvas.getContext) {
console.error("Canvas element not found or not supported.");
return;
}
var ctx = chartCanvas.getContext('2d');
chartInstance = new Chart(ctx, {
type: 'line',
data: {
labels: labels,
datasets: [{
label: 'Your Projected Pick Value',
data: data1,
borderColor: 'var(–primary-color)',
backgroundColor: 'rgba(0, 74, 153, 0.1)',
fill: true,
tension: 0.1
},
{
label: 'Average Player Value',
data: data2,
borderColor: 'var(–success-color)',
backgroundColor: 'rgba(40, 167, 69, 0.1)',
fill: true,
tension: 0.1
}]
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
y: {
beginAtZero: false,
title: {
display: true,
text: 'Player Value Score'
}
},
x: {
title: {
display: true,
text: 'Draft Round'
}
}
},
plugins: {
legend: {
position: 'top',
},
title: {
display: true,
text: 'Projected Value Trend by Round'
}
}
}
});
}
function resetCalculator() {
draftPositionInput.value = 1;
leagueSizeInput.value = 10;
numRoundsInput.value = 15;
avgPickValueInput.value = 50;
qbWeightInput.value = 1.2;
rbWeightInput.value = 1.3;
wrWeightInput.value = 1.3;
teWeightInput.value = 1.0;
kDstWeightInput.value = 0.4;
// Clear errors and reset styles
draftPositionError.textContent = ''; draftPositionInput.style.borderColor = '';
leagueSizeError.textContent = ''; leagueSizeInput.style.borderColor = '';
numRoundsError.textContent = ''; numRoundsInput.style.borderColor = '';
avgPickValueError.textContent = ''; avgPickValueInput.style.borderColor = '';
qbWeightError.textContent = ''; qbWeightInput.style.borderColor = '';
rbWeightError.textContent = ''; rbWeightInput.style.borderColor = '';
wrWeightError.textContent = ''; wrWeightInput.style.borderColor = '';
teWeightError.textContent = ''; teWeightInput.style.borderColor = '';
kDstWeightError.textContent = ''; kDstWeightInput.style.borderColor = '';
calculateDraftValue(); // Recalculate with defaults
}
function copyResults() {
var resultsText = "Fantasy Football Mock Draft Analysis:\n\n";
resultsText += "— Key Assumptions —\n";
resultsText += "Draft Position: " + draftPositionInput.value + "\n";
resultsText += "League Size: " + leagueSizeInput.value + "\n";
resultsText += "Total Rounds: " + numRoundsInput.value + "\n";
resultsText += "Average Player Value: " + avgPickValueInput.value + "\n";
resultsText += "QB Weight: " + qbWeightInput.value + "\n";
resultsText += "RB Weight: " + rbWeightInput.value + "\n";
resultsText += "WR Weight: " + wrWeightInput.value + "\n";
resultsText += "TE Weight: " + teWeightInput.value + "\n";
resultsText += "K/DST Weight: " + kDstWeightInput.value + "\n\n";
resultsText += "— Calculated Results —\n";
resultsText += "Overall Pick Value: " + overallPickValueDisplay.textContent + "\n";
resultsText += "Your Pick Value: " + projectedPickValueDisplay.textContent + "\n";
resultsText += "Average Pick Rank: " + averagePickRankDisplay.textContent + "\n";
resultsText += "Projected Round Value: " + projectedRoundValueDisplay.textContent + "\n\n";
resultsText += "Position Value Table:\n";
var tableRows = positionValueTableBody.querySelectorAll('tr');
tableRows.forEach(function(row) {
var cells = row.querySelectorAll('td');
if (cells.length === 3) {
resultsText += cells[0].textContent + " (Weight: " + cells[1].textContent + ") – Value: " + cells[2].textContent + "\n";
}
});
try {
navigator.clipboard.writeText(resultsText).then(function() {
// Optionally show a confirmation message
var copyButton = document.querySelector('button[onclick="copyResults()"]');
copyButton.textContent = 'Copied!';
setTimeout(function() {
copyButton.textContent = 'Copy Results';
}, 2000);
}, function(err) {
console.error('Could not copy text: ', err);
alert('Failed to copy results. Please copy manually.');
});
} catch (e) {
console.error('Clipboard API not available: ', e);
alert('Clipboard API not available. Please copy results manually from the screen.');
}
}
function toggleFaq(element) {
var faqItem = element.closest('.faq-item');
faqItem.classList.toggle('open');
}
// Initial calculation on page load
document.addEventListener('DOMContentLoaded', function() {
// Ensure Chart.js is available (it's not included here, this is a placeholder)
// In a real implementation, you'd include Chart.js library or ensure it's loaded.
// For this example, we assume it's available or will be stubbed.
if (typeof Chart === 'undefined') {
console.warn("Chart.js library not found. Chart will not be displayed.");
// Provide a stub for Chart if it doesn't exist to prevent errors
window.Chart = function() {
this.destroy = function() {};
};
}
calculateDraftValue();
});