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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Strinova Preregistrations</title>
<meta content="Strinova Preregistrations" property="og:title">
<meta content="Strinova is giving out Kokona's Tidal Duck gun skin for free once we hit 6m preregistrations! This site tracks the preregistration count over time to estimate when we'll hit 6m preregistrations." property="og:description">
<meta content="https://strinova-release-tracker.hutao.rip" property="og:url">
<meta content="strinova-logo-small.webp" property="og:image">
<link rel="icon" href="/strinova-logo-small.webp">
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@picocss/pico@2/css/pico.min.css">
<link rel="stylesheet" href="/style.css">
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
<script src="https://cdn.jsdelivr.net/npm/luxon@^2"></script>
<script src="https://cdn.jsdelivr.net/npm/chartjs-adapter-luxon@^1"></script>
</head>
<body>
<header class="container">
<div class="stack" style="--stacks: 3;">
<span style="--index: 0;">Strinova</span>
<span style="--index: 1;">Strinova</span>
<span style="--index: 2;">Strinova</span>
</div>
<h1>Preregistration Tracker</h1>
<div class="grid">
<div>
<p>Strinova is giving out Kokona's <b><ins>Rockin' Duck</ins></b> gun skin for free once we hit <b><ins>6m</ins></b> preregistrations! The game releases on <b><mark>Nov 21</mark></b>, so I made this site to predict whether we'll hit the milestone before the game releases.</p>
<p>We should hit <b><ins>6m</ins></b> preregistrations on <b><mark id="startDate"></mark></b> based on current estimates.</p>
<small><p>Preregister for <a href="https://www.strinova.com/?lang=en-US">Strinova</a> and become a Kokona main!</p></small>
</div>
<figure style="text-align: center">
<img src="duck-gun.png" alt="Rockin' Duck gun skin" width="80%">
<figcaption style="margin-top: -20px; margin-bottom: 20px">Rockin' Duck</figcaption>
</figure>
</div>
</header>
<main class="container">
<canvas id="stats" style="width: 100vw; height: 90vh"></canvas>
</main>
<script>
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{ x: "2024-11-19T09:52:34", y: 5650816 },
{ x: "2024-11-19T10:52:51", y: 5657343 },
{ x: "2024-11-19T11:52:53", y: 5668527 },
{ x: "2024-11-19T12:53:10", y: 5675252 },
{ x: "2024-11-19T13:53:27", y: 5683381 },
{ x: "2024-11-19T14:53:28", y: 5693715 },
{ x: "2024-11-19T15:53:30", y: 5703940 },
{ x: "2024-11-19T16:53:47", y: 5712573 },
{ x: "2024-11-19T17:53:49", y: 5723373 },
{ x: "2024-11-19T18:53:50", y: 5730804 },
{ x: "2024-11-19T19:53:52", y: 5739658 },
{ x: "2024-11-19T20:53:54", y: 5750202 },
{ x: "2024-11-19T21:53:56", y: 5759396 },
{ x: "2024-11-19T22:53:58", y: 5766893 },
{ x: "2024-11-19T23:54:00", y: 5777015 },
{ x: "2024-11-20T00:54:02", y: 5784715 },
{ x: "2024-11-20T01:54:03", y: 5794365 },
{ x: "2024-11-20T02:54:05", y: 5803988 },
{ x: "2024-11-20T03:54:07", y: 5812827 },
{ x: "2024-11-20T04:54:09", y: 5821341 },
{ x: "2024-11-20T05:54:11", y: 5829713 },
{ x: "2024-11-20T06:54:12", y: 5838041 },
{ x: "2024-11-20T07:54:14", y: 5846377 },
{ x: "2024-11-20T08:54:16", y: 5857213 },
{ x: "2024-11-20T09:54:18", y: 5865822 },
{ x: "2024-11-20T10:54:20", y: 5874496 },
{ x: "2024-11-20T11:54:22", y: 5880988 },
{ x: "2024-11-20T12:54:24", y: 5890133 },
{ x: "2024-11-20T13:54:26", y: 5897865 },
]
function convertToMilliseconds(data) {
return data.map(point => ({
x: new Date(point.x).getTime(),
y: point.y
}));
}
function calculateTrendline(data) {
const n = data.length;
let sumX = 0, sumY = 0, sumXY = 0, sumX2 = 0;
data.forEach(point => {
sumX += point.x;
sumY += point.y;
sumXY += point.x * point.y;
sumX2 += point.x * point.x;
});
const slope = (n * sumXY - sumX * sumY) / (n * sumX2 - sumX * sumX);
const intercept = (sumY - slope * sumX) / n;
return { slope, intercept };
}
const numericalData = convertToMilliseconds(newData);
const trendline = calculateTrendline(numericalData);
const trendlineEndDate = new Date("2024-12-31T12:00:00").getTime();
function getTrendlinePoints(data, trendline, endDate) {
const xValues = data.map(point => point.x);
const minX = Math.min(...xValues);
const maxX = Math.max(...xValues);
const startY = trendline.slope * minX + trendline.intercept;
const endY = trendline.slope * endDate + trendline.intercept;
return [
{ x: new Date(minX).toISOString(), y: startY },
{ x: new Date(endDate).toISOString(), y: endY }
];
}
const trendlinePoints = getTrendlinePoints(numericalData, trendline, trendlineEndDate);
const releaseStartX = (6000000 - trendline.intercept) / trendline.slope;
const startDate = new Date(releaseStartX);
const options = { month: "short", day: "numeric" };
const formattedStartDate = startDate.toLocaleDateString("en-US", options);
document.getElementById("startDate").textContent = formattedStartDate;
const ctx = document.getElementById("stats").getContext("2d");
Chart.defaults.color = "rgba(180, 180, 180)";
const statChart = new Chart(ctx, {
type: "scatter",
data: {
datasets: [
{
label: "Preregistrations",
data: preregistrationData,
backgroundColor: "rgba(75, 192, 192, 1)",
borderColor: "rgba(75, 192, 192, 0.5)",
color: "#FFF",
pointRadius: 5,
pointHoverRadius: 7,
tension: 0.4
},
{
label: "Prediction",
data: trendlinePoints,
type: "line",
fill: false,
borderColor: "rgba(75, 192, 192, 0.5)",
borderWidth: 2,
pointRadius: 0,
borderDash: [5, 5]
},
{
label: "6M Preregistrations",
type: "bar",
data: [
{ x: startDate, y: 6000000 },
],
maxBarThickness: 3,
backgroundColor: "rgba(65, 152, 192, 1)",
},
]
},
options: {
scales: {
x: {
type: "time",
position: "bottom",
title: {
display: true,
text: "Date"
},
max: 1732233600000,
grid: {
color: "rgba(50, 50, 50, 0)"
},
time: {
unit: "day"
}
},
y: {
title: {
display: true,
text: "Preregistrations"
},
min: 4000000,
max: 6500000,
grid: {
color: "rgba(50, 50, 50, 0.5)"
}
}
},
plugins: {
customCanvasBackgroundColor: {
color: "rgba(0, 191, 255, 0.2)", // Highlight color
yRange: [6000000, 6500000], // Y-axis range to highlight
labelText: "6M+ Preregistrations", // Text label for the highlighted area
labelColor: "white", // Color for the text label
labelFont: "bold 14px Arial" // Font style for the text label
}
},
responsive: true,
},
plugins: [{
id: "customCanvasBackgroundColor",
beforeDraw: (chart, args, options) => {
const { ctx, chartArea: { left, right, top, bottom }, scales: { y } } = chart;
const yStart = y.getPixelForValue(options.yRange[0]);
const yEnd = y.getPixelForValue(options.yRange[1]);
// Draw the highlighted background
ctx.save();
ctx.fillStyle = options.color;
ctx.fillRect(left, yEnd, right - left, yStart - yEnd);
// Add the text label
ctx.fillStyle = options.labelColor;
ctx.font = options.labelFont;
ctx.textAlign = "center";
ctx.textBaseline = "middle";
ctx.fillText(
options.labelText,
left + (right - left) / 2, // X position: center of the highlighted area
yEnd + (yStart - yEnd) / 2 // Y position: center of the highlighted area
);
ctx.restore();
}
}]
});
</script>
</body>
</html>