Okay, I understand the scoring rules and gameplay mechanics for the different events in this track and field game. It seems like you've provided a comprehensive guide based on an existing game. How can I help you with this information? Are you looking to: 1. Create a simple implementation of the scoring calculation for some events? 2. Build a basic version of one of the mini-games? 3. Discuss the game design or scoring balance? Please let me know what you'd like to do next. If you'd like to start with the scoring, I can create functions based on the tables you provided. For example, here's a basic setup to calculate scores for the 100m Dash and High Jump based on your data: // Data points for scoring calculations const scoringData = { '100m': [ { time: 7.30, points: 1269 }, { time: 8.21, points: 998 }, { time: 9.31, points: 664 }, { time: 10.23, points: 442 }, { time: 11.31, points: 239 }, { time: 12.13, points: 4 }, ], 'highJump': [ { height: 1.2, points: 79 }, { height: 1.4, points: 293 }, { height: 1.6, points: 493 }, { height: 1.8, points: 680 }, { height: 2.0, points: 857 }, { height: 2.2, points: 1025 }, ], // Add data for other events here... '400m': [ { time: 33.71, points: 1199 }, { time: 40.14, points: 859 }, { time: 45.21, points: 597 }, { time: 50.73, points: 318 }, { time: 55.39, points: 78 }, { time: 56.66, points: 16 }, ], '110mHurdles': [ { time: 11.26, points: 1063 }, { time: 12.69, points: 872 }, { time: 14.69, points: 602 }, { time: 16.88, points: 343 }, { time: 18.81, points: 100 }, { time: 19.64, points: 13 }, ], 'poleVault': [ { height: 3.0, points: 528 }, { height: 3.2, points: 587 }, { height: 3.4, points: 644 }, { height: 3.6, points: 700 }, { height: 3.8, points: 754 }, { height: 4.0, points: 807 }, { height: 4.2, points: 859 }, { height: 4.4, points: 909 }, { height: 4.6, points: 957 }, { height: 4.8, points: 1005 }, { height: 5.0, points: 1052 }, { height: 5.2, points: 1098 }, ], '1500m': [ // Note: Time needs conversion to a single unit (e.g., seconds) // 3:12.34 = 192.34s // 3:31.36 = 211.36s // 3:50.34 = 230.34s // 4:10.36 = 250.36s // 4:31.58 = 271.58s // 4:55.28 = 295.28s { time: 192.34, points: 1021 }, { time: 211.36, points: 831 }, { time: 230.34, points: 642 }, { time: 250.36, points: 447 }, { time: 271.58, points: 235 }, { time: 295.28, points: 2 }, ], }; // Export if using modules, otherwise make global // export default scoringData; // Uncomment if using ES modules // Utility function for linear interpolation function linearInterpolate(x, x0, y0, x1, y1) { if (x1 === x0) { return y0; // Avoid division by zero } // Clamp x to be within [x0, x1] or [x1, x0] const minX = Math.min(x0, x1); const maxX = Math.max(x0, x1); const clampedX = Math.max(minX, Math.min(maxX, x)); const result = y0 + (y1 - y0) * (clampedX - x0) / (x1 - x0); return Math.max(0, Math.round(result)); // Ensure points are non-negative and round } // Generic score calculation function function calculateScore(value, dataPoints, valueKey, pointsKey, higherValueIsBetter) { // Sort data points based on the valueKey dataPoints.sort((a, b) => a[valueKey] - b[valueKey]); // Handle edge cases: value outside the range of data points if (higherValueIsBetter) { if (value <= dataPoints[0][valueKey]) return Math.max(0, dataPoints[0][pointsKey]); if (value >= dataPoints[dataPoints.length - 1][valueKey]) return Math.max(0, dataPoints[dataPoints.length - 1][pointsKey]); } else { // Lower value (like time) is better if (value <= dataPoints[0][valueKey]) return Math.max(0, dataPoints[0][pointsKey]); if (value >= dataPoints[dataPoints.length - 1][valueKey]) return Math.max(0, dataPoints[dataPoints.length - 1][pointsKey]); } // Find the two data points surrounding the input value let p0 = dataPoints[0]; let p1 = dataPoints[dataPoints.length - 1]; for (let i = 0; i < dataPoints.length - 1; i++) { if (value >= dataPoints[i][valueKey] && value <= dataPoints[i + 1][valueKey]) { p0 = dataPoints[i]; p1 = dataPoints[i + 1]; break; } } // If lower value is better (like time), swap points for interpolation if needed // The linearInterpolate function assumes y increases with x, // so if points decrease as value increases, we need to adjust. // However, the current linearInterpolate handles this correctly as long as // (x0, y0) and (x1, y1) are passed in the correct order relative to the value axis. return linearInterpolate(value, p0[valueKey], p0[pointsKey], p1[valueKey], p1[pointsKey]); } // Specific event scoring functions function calculate100mPoints(time) { // Lower time is better return calculateScore(time, scoringData['100m'], 'time', 'points', false); } function calculateHighJumpPoints(height) { // Higher height is better return calculateScore(height, scoringData['highJump'], 'height', 'points', true); } function calculate400mPoints(time) { // Lower time is better return calculateScore(time, scoringData['400m'], 'time', 'points', false); } function calculate110mHurdlesPoints(time) { // Lower time is better return calculateScore(time, scoringData['110mHurdles'], 'time', 'points', false); } function calculatePoleVaultPoints(height) { // Higher height is better return calculateScore(height, scoringData['poleVault'], 'height', 'points', true); } function calculate1500mPoints(timeInSeconds) { // Lower time is better return calculateScore(timeInSeconds, scoringData['1500m'], 'time', 'points', false); } // Add functions for other events... // Export if using modules /* export { calculate100mPoints, calculateHighJumpPoints, calculate400mPoints, calculate110mHurdlesPoints, calculatePoleVaultPoints, calculate1500mPoints }; */ Track & Field Scoring

Track & Field Score Calculator

100 Meters Dash

Enter Time (s):

Score:

High Jump

Enter Height (m):

Score:

400 Meters Dash

Enter Time (s):

Score:

110 Meters Hurdles

Enter Time (s):

Score:

Pole Vault

Enter Height (m):

Score:

1500 Meters Run

Enter Time (s):

Score:

(e.g., 3:40.00 = 220.00s)

This setup provides: 1. `scoringData.js`: Stores the data points from your tables. 2. `scoringUtils.js`: Contains functions (`calculateScore`, `linearInterpolate`, and specific event functions like `calculate100mPoints`, `calculateHighJumpPoints`, etc.) to calculate scores using linear interpolation based on the data. 3. `index.html`: A simple web page to input a time/height for selected events and see the calculated score. You can open the `index.html` file to test the scoring logic. Let me know if you want to refine this, add more events, or move towards implementing gameplay.