{
"timeline": {
"background": "#0b0d12",
"tracks": [
{
"clips": [
{
"asset": {
"type": "html5",
"html": "<div class=\"grain\"></div>",
"css": "html,body{margin:0;width:1080px;height:1920px;overflow:hidden;background:transparent}.grain{position:absolute;top:-5%;left:-5%;width:110%;height:110%;opacity:0.09;background-image:url(\"data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' width='200' height='200'><filter id='n'><feTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='2' stitchTiles='stitch'/></filter><rect width='200' height='200' filter='url(%23n)'/></svg>\");background-size:240px 240px;animation:drift 0.6s steps(4) 0s infinite both}@keyframes drift{0%{transform:translate(0,0)}25%{transform:translate(-12px,8px)}50%{transform:translate(10px,-10px)}75%{transform:translate(-8px,-6px)}100%{transform:translate(0,0)}}",
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"length": 17.032,
"width": 1080,
"height": 1920
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{
"asset": {
"type": "html5",
"html": "<div id=\"stage\">\n<div id=\"bg\"></div>\n<div id=\"pitchWrap\"><svg id=\"pitch\" viewBox=\"0 0 680 1050\" width=\"680\" height=\"1050\" fill=\"none\" stroke=\"#ffffff\" stroke-width=\"3\">\n<rect class=\"pl\" x=\"10\" y=\"10\" width=\"660\" height=\"1030\"/>\n<line class=\"pl\" x1=\"10\" y1=\"525\" x2=\"670\" y2=\"525\"/>\n<circle class=\"pl\" cx=\"340\" cy=\"525\" r=\"92\"/>\n<rect class=\"pl\" x=\"138\" y=\"10\" width=\"404\" height=\"165\"/>\n<rect class=\"pl\" x=\"248\" y=\"10\" width=\"184\" height=\"55\"/>\n<rect class=\"pl\" x=\"138\" y=\"875\" width=\"404\" height=\"165\"/>\n<rect class=\"pl\" x=\"248\" y=\"985\" width=\"184\" height=\"55\"/>\n<path class=\"pl\" d=\"M266,175 A92,92 0 0,0 414,175\"/>\n<path class=\"pl\" d=\"M266,875 A92,92 0 0,1 414,875\"/>\n</svg></div>\n<div id=\"pub\"><span id=\"pubName\"></span><svg width=\"300\" height=\"6\"><line id=\"pubLine\" x1=\"0\" y1=\"3\" x2=\"300\" y2=\"3\"/></svg></div>\n<div id=\"s1\">\n <div id=\"ftWrap\"><div id=\"ft\">FULL TIME</div></div>\n <div id=\"bandH\" class=\"band\"></div><div id=\"bandA\" class=\"band\"></div>\n <div id=\"codeH\" class=\"code\"></div><div id=\"codeA\" class=\"code\"></div>\n <div id=\"comp\"></div>\n</div>\n<div id=\"bugBg\"></div>\n<div id=\"bugCodeH\" class=\"bugCode\"></div><div id=\"bugCodeA\" class=\"bugCode\"></div>\n<div id=\"bug\"><span id=\"scHw\" class=\"scw\"><span id=\"scH\" class=\"sc\"></span></span><svg id=\"dashSvg\" width=\"120\" height=\"40\"><line id=\"dash\" x1=\"10\" y1=\"20\" x2=\"110\" y2=\"20\"/></svg><span id=\"scAw\" class=\"scw\"><span id=\"scA\" class=\"sc\"></span></span></div>\n<div id=\"s2\"><div id=\"stTitle\">MATCH STATS</div><div id=\"rows\"></div></div>\n<div id=\"s3\"><div id=\"gTitle\">HOW IT HAPPENED</div><svg id=\"tlSvg\" width=\"20\" height=\"1120\"><line id=\"tline\" x1=\"10\" y1=\"0\" x2=\"10\" y2=\"1120\"/></svg><div id=\"ticks\"></div><div id=\"goals\"></div><div id=\"ball\"></div></div>\n<div id=\"s4\">\n <svg id=\"crestSvg\" viewBox=\"0 0 200 240\" width=\"300\" height=\"360\"><path id=\"crest\" d=\"M100,60 C133.1,60 160,86.9 160,120 C160,153.1 133.1,180 100,180 C66.9,180 40,153.1 40,120 C40,86.9 66.9,60 100,60 Z\"/></svg>\n <div id=\"crestCode\"></div>\n <div id=\"winWrap\"><div id=\"winner\"></div></div>\n <div id=\"result\"></div>\n <div id=\"next\"></div>\n <div id=\"confetti\"></div>\n</div>\n</div>",
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) 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0;-webkit-background-clip:text;background-clip:text}\n#dash{stroke:var(--paper);stroke-width:18;stroke-linecap:square}\n#bugBg{position:absolute;left:240px;top:176px;width:600px;height:150px;border-radius:75px;background:rgba(255,255,255,.07);border:2px solid rgba(255,255,255,.12);opacity:0}\n.bugCode{position:absolute;top:212px;width:150px;font:76px/76px 'Display';text-align:center;opacity:0}\n#bugCodeH{left:270px;color:var(--home)} #bugCodeA{left:660px;color:var(--away)}\n#s2,#s3,#s4{position:absolute;inset:0;opacity:0}\n#stTitle,#gTitle{position:absolute;left:0;top:420px;width:1080px;text-align:center;font:600 34px/1 'Sans';letter-spacing:.34em;color:var(--muted)}\n.row{position:absolute;left:90px;width:900px;height:170px}\n.lab{position:absolute;left:0;top:18px;width:900px;text-align:center;font:600 30px/1 'Sans';letter-spacing:.18em;text-transform:uppercase;color:var(--muted)}\n.vh,.va{position:absolute;top:0;font:96px/1 'Display'}\n.vh{left:0} .va{right:0}\n.lead{color:var(--paper)} .trail{color:#5d6270}\n.track{position:absolute;left:0;top:118px;width:900px;height:16px;background:rgba(255,255,255,.06)}\n.bh,.ba{position:absolute;top:0;height:16px}\n.bh{right:450px;background:var(--home);transform-origin:100% 50%}\n.ba{left:450px;background:var(--away);transform-origin:0 50%}\n#tlSvg{position:absolute;left:530px;top:540px}\n#tline{stroke:rgba(255,255,255,.35);stroke-width:4}\n.tick{position:absolute;left:72px;font:26px/1 'Mono';color:var(--muted)}\n.gdot,.ring{position:absolute;left:522px;width:36px;height:36px;border-radius:50%}\n.ring{border:3px solid currentColor;background:transparent;opacity:0}\n.glab{position:absolute;width:420px}\n.glab.home{left:70px;text-align:right}\n.glab.away{left:590px;text-align:left}\n.gmin{font:72px/1 'Display'}\n.gply{font:600 32px/1.2 'Sans';color:var(--paper);margin-top:6px}\n#ball{position:absolute;left:510px;top:510px;width:60px;height:60px;border-radius:50%;background:radial-gradient(circle at 35% 35%,#ffffff,#c9ccd3 70%);box-shadow:0 0 0 4px rgba(11,13,18,.9)}\n#ball::after{content:'';position:absolute;left:21px;top:20px;width:18px;height:18px;background:#0b0d12;clip-path:polygon(50% 0%,100% 38%,82% 100%,18% 100%,0% 38%)}\n#crestSvg{position:absolute;left:390px;top:420px;opacity:0}\n#crest{fill:var(--win)}\n#crestCode{position:absolute;left:0;top:580px;width:1080px;text-align:center;font:110px/1 'Display';color:var(--ink);opacity:0}\n#winWrap{position:absolute;left:0;top:880px;width:1080px;text-align:center;overflow:hidden;padding:12px 0}\n#winner{font:170px/1 'Display';color:var(--win);display:inline-block}\n#result{position:absolute;left:0;top:1110px;width:1080px;text-align:center;font:600 44px/1.2 'Sans';letter-spacing:.06em}\n#next{position:absolute;left:0;top:1560px;width:1080px;text-align:center;font:30px/1 'Mono';letter-spacing:.08em;color:var(--muted);min-height:30px}\n#confetti{position:absolute;left:540px;top:600px;width:0;height:0}\n.cf{position:absolute;width:14px;height:26px;opacity:0}\n",
"js": "\nconst M = {home:{name:`{{HOME_NAME}}`,code:`{{HOME_CODE}}`,color:`{{HOME_COLOR}}`,score:+`{{HOME_SCORE}}`},\n away:{name:`{{AWAY_NAME}}`,code:`{{AWAY_CODE}}`,color:`{{AWAY_COLOR}}`,score:+`{{AWAY_SCORE}}`},\n competition:`{{COMPETITION}}`, next:`{{NEXT}}`, publisher:`{{PUBLISHER}}`};\nconst STATS = `{{STATS}}`.split('|').map(r => { const [label,h,a,unit,dp] = r.split(','); return {label, h:+h, a:+a, unit:unit||'', dp:+dp||0}; });\nconst GOALS = `{{GOALS}}`.split('|').map(r => { const [min,team,player] = r.split(','); return {min:+min, team, player}; });\n// ponytail: the v1 renderer shows each html5 state one frame late (frame n holds the state at (n - 1)/fps) and plays\n// the music about 41 ms after the grid, so pulling the grid one 25 fps frame early puts each attack on the frame its\n// hit sounds. Re-measure if either offset changes.\nconst LAG = 0.04, num = s => s.split(',').map(t => +t - LAG);\nconst BEATS = num(`{{BEATS}}`), BARS = num(`{{BARS}}`), HITS = num(`{{HITS}}`), P = BEATS[1] - BEATS[0];\n// Beat n on the track clock; n + 0.5 is the off-beat.\nconst B = n => BEATS[Math.floor(n)] + (n % 1) * P;\n// First hit at or after t (20 ms slack), else t.\nconst hitFrom = t => HITS.find(h => h >= t - 0.02) ?? t;\nconst $ = s => document.querySelector(s);\nconst winner = M.home.score > M.away.score ? M.home : M.away.score > M.home.score ? M.away : null;\ndocument.documentElement.style.setProperty('--win', winner ? winner.color : '#f4f1ea');\n\n$('#pubName').textContent = M.publisher;\n$('#codeH').textContent = M.home.code; $('#codeA').textContent = M.away.code;\n$('#bugCodeH').textContent = M.home.code; $('#bugCodeA').textContent = M.away.code;\n$('#scH').textContent = M.home.score; $('#scA').textContent = M.away.score;\n$('#crestCode').textContent = winner ? winner.code : '';\n$('#winner').textContent = winner ? winner.name : 'ALL SQUARE';\n$('#result').innerHTML = winner\n ? `${M.home.code} ${M.home.score} \u2013 ${M.away.score} ${M.away.code}`\n : `${M.home.name} ${M.home.score} \u2013 ${M.away.score} ${M.away.name}`;\n\nconst fmt = (v, s) => v.toFixed(s.dp) + s.unit;\nconst rows = $('#rows');\nSTATS.forEach((s, i) => {\n const max = 400, tot = (s.h + s.a) || 1;\n const r = document.createElement('div'); r.className = 'row'; r.id = 'r' + i; r.style.top = (540 + i * 196) + 'px';\n r.innerHTML = `<div class=\"lab\">${s.label}</div><div class=\"vh ${s.h >= s.a ? 'lead' : 'trail'}\" id=\"vh${i}\">${fmt(0, s)}</div>`\n + `<div class=\"va ${s.a >= s.h ? 'lead' : 'trail'}\" id=\"va${i}\">${fmt(0, s)}</div>`\n + `<div class=\"track\"><div class=\"bh\" id=\"bh${i}\" style=\"width:${max * s.h / tot}px\"></div><div class=\"ba\" id=\"ba${i}\" style=\"width:${max * s.a / tot}px\"></div></div>`;\n rows.appendChild(r);\n});\n\nconst TL_TOP = 540, TL_LEN = 1120;\n[[0, \"KO\"], [45, \"HT\"], [90, \"FT\"]].forEach(([m, l]) => {\n const t = document.createElement('div'); t.className = 'tick'; t.textContent = l;\n t.style.top = (TL_TOP + TL_LEN * m / 90 - 13) + 'px'; $('#ticks').appendChild(t);\n});\nGOALS.forEach((g, i) => {\n const y = TL_TOP + TL_LEN * g.min / 90, col = g.team === 'home' ? M.home.color : M.away.color;\n const host = $('#goals');\n host.insertAdjacentHTML('beforeend',\n `<div class=\"ring\" id=\"gr${i}\" style=\"top:${y - 18}px;color:${col}\"></div>`\n + `<div class=\"gdot\" id=\"gd${i}\" style=\"top:${y - 18}px;background:${col}\"></div>`\n + `<div class=\"glab ${g.team}\" id=\"gl${i}\" style=\"top:${y - 44}px\"><div class=\"gmin\" style=\"color:${col}\">${g.min}'</div><div class=\"gply\">${g.player}</div></div>`);\n});\n\nconst rand = d3.randomLcg(7);\nconst cols = [winner ? winner.color : '#f4f1ea', '#f4f1ea', winner ? winner.color : '#8b8f99'];\nfor (let i = 0; i < 70; i++) {\n const c = document.createElement('div'); c.className = 'cf'; c.id = 'cf' + i;\n c.style.background = cols[i % 3]; $('#confetti').appendChild(c);\n}\n\nCustomEase.create('dock', 'M0,0 C0.62,0 0.08,1 1,1');\nCustomBounce.create('pop', { strength: 0.45, squash: 1.8, squashID: 'pop-sq' });\n// The bounce reaches full size part-way in; start it that much early so the impact lands on the beat.\nconst POP = 1.0, popEase = gsap.parseEase('pop');\nconst POP_LEAD = POP * d3.range(0, 1.01, 0.01).find(p => popEase(p) >= 0.999);\nconst ft = SplitText.create('#ft', { type: 'chars' });\nconst stT = SplitText.create('#stTitle', { type: 'chars' });\nconst gT = SplitText.create('#gTitle', { type: 'chars' });\nconst win = SplitText.create('#winner', { type: 'chars' });\n\n// Scenes are written in absolute track time and all sit at 0 on the master, so a harness that seeks nested\n// timelines directly still lands every tween on the grid. Bar k starts on beat 4k.\nfunction scene1() {\n const t = gsap.timeline();\n // The drum fill into bar 2 takes the sting apart hit by hit: a glint on each score, the headline, the small print,\n // then the bands and codes on the bar itself. Exits start on their hit with a fast-start ease so the change reads\n // on the hit, not after it.\n const g1 = hitFrom(B(5.25)), g2 = hitFrom(g1 + 0.1), out1 = hitFrom(B(7)), out2 = hitFrom(out1 + 0.1);\n t.from('#pitch .pl', { drawSVG: '0%', duration: 1.7, ease: 'power2.inOut', stagger: 0.06 }, B(0))\n .from('#pubLine', { drawSVG: '0%', duration: 0.8, ease: 'expo.out' }, B(0))\n .from('#pubName', { opacity: 0, x: -16, duration: 0.6, ease: 'power3.out' }, B(0))\n .from(ft.chars, { yPercent: 120, rotationX: -90, transformOrigin: '50% 100%', duration: 0.7, ease: 'expo.out', stagger: 0.035 }, B(1))\n .from('#bandH', { scaleX: 0, duration: 0.6, ease: 'expo.out' }, B(2))\n .from('#codeH', { x: -760, skewX: -18, duration: 0.55, ease: 'expo.out' }, B(2))\n .from('#bandA', { scaleX: 0, duration: 0.6, ease: 'expo.out' }, B(3))\n .from('#codeA', { x: 760, skewX: 18, duration: 0.55, ease: 'expo.out' }, B(3))\n .from('#scHw', { scale: 0, duration: POP, ease: 'pop' }, BARS[1] - POP_LEAD)\n .to('#scH', { scaleX: 1.25, scaleY: 0.78, transformOrigin: '50% 100%', duration: POP, ease: 'pop-sq' }, BARS[1] - POP_LEAD)\n .from('#dash', { drawSVG: '50% 50%', duration: 0.4, ease: 'expo.out' }, B(4.5))\n .from('#scAw', { scale: 0, duration: POP, ease: 'pop' }, B(5) - POP_LEAD)\n .to('#scA', { scaleX: 1.25, scaleY: 0.78, transformOrigin: '50% 100%', duration: POP, ease: 'pop-sq' }, B(5) - POP_LEAD)\n .to('#comp', { text: M.competition, duration: 1.0, ease: 'none' }, B(5))\n .to('#scH', { backgroundPosition: '0% 0', duration: 0.6, ease: 'power2.out' }, g1)\n .to('#scA', { backgroundPosition: '0% 0', duration: 0.6, ease: 'power2.out' }, g2)\n .to(ft.chars, { yPercent: -120, duration: 0.45, ease: 'expo.out', stagger: 0.02 }, out1)\n .to('#comp', { opacity: 0, duration: 0.25, ease: 'power2.out' }, out2)\n .to('#pitchWrap', { opacity: 0.06, duration: 0.8, ease: 'power2.inOut' }, out2)\n .to('#codeH', { x: -760, duration: 0.45, ease: 'expo.out' }, BARS[2])\n .to('#codeA', { x: 760, duration: 0.45, ease: 'expo.out' }, BARS[2])\n .to(['#bandH', '#bandA'], { scaleX: 0, duration: 0.45, ease: 'expo.out' }, BARS[2]);\n return t;\n}\n\nfunction dock() {\n const t = gsap.timeline();\n // The 'dock' curve is steepest 37% in, so the bug whips up on beat 9 and settles by beat 10. It barely moves\n // in the 0.12 s between the bar and its start.\n t.to('#bug', { y: -909, scale: 0.3, duration: 2 * P, ease: 'dock' }, B(9) - 0.37 * 2 * P)\n .to('#bugBg', { opacity: 1, duration: 0.4, ease: 'power3.out' }, B(9.5))\n .fromTo('#bugCodeH', { opacity: 0, x: 30 }, { opacity: 1, x: 0, duration: 0.45, ease: 'expo.out' }, B(10))\n .fromTo('#bugCodeA', { opacity: 0, x: -30 }, { opacity: 1, x: 0, duration: 0.45, ease: 'expo.out' }, B(10));\n return t;\n}\n\nfunction scene2() {\n const t = gsap.timeline();\n t.to('#s2', { opacity: 1, duration: 0.01 }, B(10))\n .from(stT.chars, { yPercent: 100, opacity: 0, duration: 0.5, ease: 'expo.out', stagger: 0.025 }, B(10));\n // One stat per beat; each counter starts on its beat.\n STATS.forEach((s, i) => {\n const at = B(11 + i), vh = { v: 0 }, va = { v: 0 };\n const eh = document.getElementById('vh' + i), ea = document.getElementById('va' + i);\n t.from('#r' + i + ' .lab', { opacity: 0, y: 14, duration: 0.5, ease: 'power3.out' }, at)\n .from(['#vh' + i, '#va' + i], { opacity: 0, duration: 0.25, ease: 'none' }, at)\n .from(['#bh' + i, '#ba' + i], { scaleX: 0, duration: 1.0, ease: 'expo.out' }, at)\n .to(vh, { v: s.h, duration: 1.0, ease: 'expo.out', onUpdate: () => { eh.textContent = fmt(vh.v, s); } }, at)\n .to(va, { v: s.a, duration: 1.0, ease: 'expo.out', onUpdate: () => { ea.textContent = fmt(va.v, s); } }, at);\n });\n const out = BARS[5] - 0.33 - 0.04 * (STATS.length - 1);\n t.to('.row', { opacity: 0, y: -24, duration: 0.33, ease: 'power2.in', stagger: 0.04 }, out)\n .to(stT.chars, { opacity: 0, duration: 0.3, ease: 'power2.in' }, out);\n return t;\n}\n\nfunction scene3() {\n const t = gsap.timeline(), S = 20;\n // The ball hops goal to goal and lands each one on a beat, then full time; half-beat hops if more than four goals.\n // ponytail: past eleven goals the hops overrun the exit beat; shorten the step further if a fixture ever needs it.\n const stops = [...GOALS.map(g => g.min), 90], step = stops.length > 5 ? 0.5 : 1;\n t.to('#s3', { opacity: 1, duration: 0.01 }, B(S))\n .from(gT.chars, { yPercent: 100, opacity: 0, duration: 0.5, ease: 'expo.out', stagger: 0.025 }, B(S))\n .from('#tline', { drawSVG: '0%', duration: 0.8, ease: 'power2.inOut' }, B(S) + 0.1)\n .from('.tick', { opacity: 0, x: -12, duration: 0.4, ease: 'power3.out', stagger: 0.12 }, B(S + 0.5))\n .from('#ball', { scale: 0, duration: 0.45, ease: 'back.out(2.4)' }, B(S + 1));\n stops.forEach((m, k) => {\n t.to('#ball', { y: TL_LEN * m / 90, rotation: 10 * m, duration: step * P, ease: 'power2.inOut' }, B(S + 1 + k * step));\n });\n GOALS.forEach((g, i) => {\n const at = B(S + 1 + (i + 1) * step);\n t.from('#gd' + i, { scale: 0, duration: 0.45, ease: 'back.out(3)' }, at)\n .fromTo('#gr' + i, { scale: 0.6, opacity: 0.9 }, { scale: 3, opacity: 0, duration: 0.7, ease: 'power2.out', immediateRender: false }, at)\n .from('#gl' + i, { x: g.team === 'home' ? 50 : -50, opacity: 0, duration: 0.55, ease: 'expo.out' }, at);\n });\n // The ball blows up towards the crest: expo.inOut is steepest at its midpoint, which sits on the bar.\n t.to(['#goals', '#ticks', '#tlSvg', '#gTitle'], { opacity: 0, duration: 0.35, ease: 'power2.in' }, B(S + 7))\n .to('#ball', { y: 300, x: 0, scale: 3, rotation: 1080, duration: P, ease: 'expo.inOut' }, B(S + 7.5))\n .to('#ball', { opacity: 0, duration: 0.15, ease: 'none' }, B(S + 8.5));\n return t;\n}\n\nfunction scene4() {\n const t = gsap.timeline(), S = 28;\n t.to('#s4', { opacity: 1, duration: 0.01 }, B(S))\n .fromTo('#crestSvg', { opacity: 0, scale: 0.6 }, { opacity: 1, scale: 1, duration: 0.3, ease: 'power3.out' }, B(S))\n // expo.inOut is steepest at its midpoint: the circle snaps to a shield on the next beat.\n .to('#crest', { morphSVG: 'M100,14 L176,42 L176,118 C176,172 142,208 100,228 C58,208 24,172 24,118 L24,42 Z', duration: 0.8, ease: 'expo.inOut' }, B(S + 1) - 0.4)\n .from(win.chars, { yPercent: 120, rotation: 8, duration: 0.7, ease: 'expo.out', stagger: 0.035 }, B(S + 1))\n .fromTo('#crestCode', { opacity: 0, scale: 0.8 }, { opacity: 1, scale: 1, duration: 0.5, ease: 'expo.out' }, B(S + 2))\n .from('#result', { opacity: 0, y: 18, duration: 0.6, ease: 'power3.out' }, B(S + 2))\n .to('#next', { text: M.next, duration: 1.1, ease: 'none' }, B(S + 3))\n .to(['#bug', '#bugBg', '#bugCodeH', '#bugCodeA'], { opacity: 0, duration: 0.4, ease: 'power2.in' }, B(S));\n if (winner) {\n // Confetti bursts with the winner's name.\n for (let i = 0; i < 70; i++) {\n t.to('#cf' + i, { opacity: 1, duration: 0.01 }, B(S + 1))\n .to('#cf' + i, { physics2D: { velocity: 650 + rand() * 900, angle: -90 + (rand() - 0.5) * 150, gravity: 1500 },\n rotation: rand() * 900 - 450, duration: 2.4, ease: 'none' }, B(S + 1));\n }\n }\n return t;\n}\n\nconst tl = gsap.timeline();\ntl.add(scene1(), 0).add(dock(), 0).add(scene2(), 0).add(scene3(), 0).add(scene4(), 0);\n"
},
"start": 0,
"length": 17.032,
"width": 1080,
"height": 1920
}
]
},
{
"clips": [
{
"asset": {
"type": "audio",
"src": "https://cdn.shotstack.io/au/v1/generations/wzr6y0wtti/446f0351-de9d-5158-ad98-7231646127ea.mp3",
"model": "elevenlabs-music",
"prompt": "Driving sports broadcast theme, punchy live drums, brass stabs and a big cymbal hit on the downbeat, 128 BPM, confident and triumphant, modern stadium production, instrumental only",
"options": {
"forceInstrumental": true
}
},
"start": 0,
"length": 17.032
}
]
}
]
},
"output": {
"format": "mp4",
"size": {
"width": 1080,
"height": 1920
},
"fps": 25
},
"merge": [
{
"find": "PUBLISHER",
"replace": "THE FINAL WHISTLE"
},
{
"find": "COMPETITION",
"replace": "COASTAL LEAGUE \u00b7 MATCHDAY 9"
},
{
"find": "HOME_NAME",
"replace": "HARBOUR CITY"
},
{
"find": "HOME_CODE",
"replace": "HCF"
},
{
"find": "HOME_COLOR",
"replace": "#FF4D3D"
},
{
"find": "HOME_SCORE",
"replace": "3"
},
{
"find": "AWAY_NAME",
"replace": "NORTHSIDE UTD"
},
{
"find": "AWAY_CODE",
"replace": "NSU"
},
{
"find": "AWAY_COLOR",
"replace": "#2FD4C6"
},
{
"find": "AWAY_SCORE",
"replace": "1"
},
{
"find": "STATS",
"replace": "Possession,58,42,%,0|Shots,14,7,,0|On target,6,2,,0|xG,2.31,0.84,,2|Corners,7,3,,0"
},
{
"find": "GOALS",
"replace": "12,home,Tanaka|38,away,Okafor|61,home,Rossi (pen)|84,home,Tanaka"
},
{
"find": "NEXT",
"replace": "NEXT \u00b7 BAYSIDE ROVERS (A) \u00b7 SAT 18 OCT"
},
{
"find": "BEATS",
"replace": "0.065,0.534,1.003,1.472,1.94,2.409,2.878,3.346,3.815,4.284,4.753,5.221,5.69,6.159,6.628,7.096,7.565,8.034,8.503,8.972,9.44,9.909,10.378,10.847,11.315,11.784,12.253,12.722,13.19,13.659,14.128,14.597,15.065,15.534,16.003,16.471,16.94"
},
{
"find": "BARS",
"replace": "0.065,1.94,3.815,5.69,7.565,9.44,11.315,13.19,15.065,16.94"
},
{
"find": "HITS",
"replace": "0.07,2.647,2.879,3.344,3.576,3.808,5.224,5.689"
}
]
}A vertical full-time recap in a broadcast style. The final score lands, the match stats chart themselves and each goal appears on a timeline before the end card. Set the teams, colours, score, stats and goals, and render one for every match. The music is generated from a prompt when you render.
No account needed until you render.
Render with your AI assistant
Add the Shotstack MCP server to your editor, then paste the prompt
| Output | MP4 |
|---|---|
| Size | 1080 × 1920 (9:16) |
| Length | 17s |
| Frame rate | 25 fps |
| Tracks / clips | 3 / 3 |
| Assets used | 1 audio, 2 html5 |
| Soundtrack | no |
| Merge fields | 16 |
Send a merge array with your values for these fields:
| Field | Default value |
|---|---|
{{ PUBLISHER }} | THE FINAL WHISTLE |
{{ COMPETITION }} | COASTAL LEAGUE · MATCHDAY 9 |
{{ HOME_NAME }} | HARBOUR CITY |
{{ HOME_CODE }} | HCF |
{{ HOME_COLOR }} | #FF4D3D |
{{ HOME_SCORE }} | 3 |
{{ AWAY_NAME }} | NORTHSIDE UTD |
{{ AWAY_CODE }} | NSU |
{{ AWAY_COLOR }} | #2FD4C6 |
{{ AWAY_SCORE }} | 1 |
{{ STATS }} | Possession,58,42,%,0|Shots,14,7,,0|On target,6,2,,0|xG,2.31,0.84,,2|Corners,7,3,,0 |
{{ GOALS }} | 12,home,Tanaka|38,away,Okafor|61,home,Rossi (pen)|84,home,Tanaka |
{{ NEXT }} | NEXT · BAYSIDE ROVERS (A) · SAT 18 OCT |
{{ BEATS }} | 0.065,0.534,1.003,1.472,1.94,2.409,2.878,3.346,3.815,4.284,4.753,5.221,5.69,6.159,6.628,7.096,7.565,8.034,8.503,8.972,9.44,9.909,10.378,10.847,11.315,11.784,12.253,12.722,13.19,13.659,14.128,14.597,15.065,15.534,16.003,16.471,16.94 |
{{ BARS }} | 0.065,1.94,3.815,5.69,7.565,9.44,11.315,13.19,15.065,16.94 |
{{ HITS }} | 0.07,2.647,2.879,3.344,3.576,3.808,5.224,5.689 |
Save the JSON above as template.json, then render in the free sandbox:
# Save the JSON above as template.json, then:
curl -X POST https://api.shotstack.io/edit/stage/render \
-H "x-api-key: $SHOTSTACK_API_KEY" \
-H "Content-Type: application/json" \
-d @template.json
# Poll until status is "done", then download response.url
curl https://api.shotstack.io/edit/stage/render/RENDER_ID -H "x-api-key: $SHOTSTACK_API_KEY"import { readFileSync } from 'node:fs';
const headers = { 'x-api-key': process.env.SHOTSTACK_API_KEY, 'Content-Type': 'application/json' };
const edit = JSON.parse(readFileSync('template.json', 'utf8'));
const { response } = await fetch('https://api.shotstack.io/edit/stage/render', {
method: 'POST', headers, body: JSON.stringify(edit)
}).then((r) => r.json());
let render;
do {
await new Promise((r) => setTimeout(r, 3000));
render = (await fetch(`https://api.shotstack.io/edit/stage/render/${response.id}`, { headers }).then((r) => r.json())).response;
} while (!['done', 'failed'].includes(render.status));
console.log(render.status, render.url);import json, os, time, requests
headers = {"x-api-key": os.environ["SHOTSTACK_API_KEY"]}
with open("template.json") as f:
edit = json.load(f)
render_id = requests.post("https://api.shotstack.io/edit/stage/render", json=edit, headers=headers).json()["response"]["id"]
while True:
render = requests.get(f"https://api.shotstack.io/edit/stage/render/{render_id}", headers=headers).json()["response"]
if render["status"] in ("done", "failed"):
break
time.sleep(3)
print(render["status"], render.get("url"))npm install -g @shotstack/cli
export SHOTSTACK_API_KEY=your_sandbox_key
shotstack validate template.json # offline schema check, free
shotstack render template.json --env stage --watchSandbox renders are free and watermarked. Production: the v1 endpoint and key. SDKs
Loop over your content calendar and keep the feed full without an editor.
Paste into Claude, ChatGPT or Cursor — your AI assistant builds the workflow around your data.
Node.js, one render per CSV row, wired to this template's 16 merge fields. Setup steps in the header.
Guides: Bulk-create from a CSV · Webhooks · Templates endpoint · Render your first video
AI assistants: Markdown () · · · CLI skill: SKILL.md () · MCP server
Use the 16 merge fields listed above. Send a merge array with your own values for each field and the API swaps them in at render time, so one template can produce thousands of unique videos.
Yes. It renders vertical 1080×1920 (9:16), the format those platforms expect. Change output.size or output.aspectRatio in the JSON if you also need a square or landscape cut.
This template renders a 1080×1920 (9:16) MP4 that is 17 seconds long, built from 3 clips on 3 tracks.
Yes. Loop over your data source (a CSV, a database, a webhook payload), send one render request per row with different values, and use a callback URL so Shotstack notifies you when each video is ready.