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b2:Tafa51,NBA Odds Analyzer — Win Probability, Spread & Total Points

Basketball Analytics

NBA Odds Analyzer

Buang margin bandar dari odds desimal, lalu ukur peluang murni untuk moneyline, point spread, dan total poin memakai model distribusi normal.

Isi odds, spread, dan total poin, lalu tekan Analisis untuk melihat probabilitas murni serta rekomendasi value bet.

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TEMA DESAIN (NBA Vibe): Gunakan desain yang sporty dan modern. Warna dominan adalah Hitam (latar belakang), Oranye Terang khas bola basket (untuk tombol dan aksen), serta Putih (untuk teks). Buat antarmukanya bersih dan sangat responsif di layar HP. 2. FORM INPUT DATA: Sediakan kolom input berikut: Nama Tim Away & Nama Tim Home Odds Kemenangan (Moneyline): Odds Away & Odds Home (Pilih format desimal) Point Spread (Handicap): Nilai voor poin (misal: -5.5 atau +5.5) Over / Under (Total Points): Batas poin (misal: 215.5) 3. ALGORITMA ANALISIS: Saat tombol 'Analisis' ditekan, buat logika JavaScript yang membuang margin bandar (vigorish) dari Odds untuk mendapatkan probabilitas menang murni (True Win Probability). Asumsikan distribusi normal standar (Gaussian) untuk memprediksi probabilitas tembusnya Point Spread (Handicap) dan Over/Under berdasarkan perbandingan kekuatan dari persentase kemenangan murni tersebut. 4. KARTU HASIL ANALISIS: Tampilkan persentase secara rapi dalam grid: Win Probability: Persentase peluang menang Home vs Away. Spread Cover: Peluang persentase masing-masing tim menembus Handicap poinnya. Total Points: Peluang persentase pertandingan berakhir Over vs Under. 5. REKOMENDASI VALUE BET (Sangat Penting): Sama seperti tools sepak bola, buat satu kotak berukuran besar di bagian bawah dengan highlight Oranye menyala. Bandingkan semua hasil persentase analisis di atas. Ambil 1 pilihan dengan persentase paling tinggi (harus di atas 60%). Tampilkan teks tegas. Contoh: '🔥 REKOMENDASI TERKUAT: Pegang Tim Home (Spread -5.5) dengan peluang 68%!' atau '🔥 REKOMENDASI TERKUAT: Mainkan OVER 215.5 Poin!'"be:T521,I'll make the app dark-only by simplifying globals.css to a single forced dark theme, removing the prefers-color-scheme media query and making .dark match the root values. I'm picking a near-black NBA-style palette with orange as the primary accent, white text, and gray muted tones. For typography, I'll pair Barlow Condensed for display/headings with Inter for body text via next/font, wiring both into the theme config as font-sans and font-display variables. Now I'm working out the betting math: converting odds to implied probabilities and devigging them by normalizing against the overround, then deriving the expected point spread from the true win probability using the inverse normal CDF scaled by NBA's margin standard deviation (~12 points), and setting up the convention for how a home spread translates into a cover condition based on margin of victory. I'm now handling the totals side—letting users optionally input over/under odds to devig directly, or falling back to an editable league-average total with its own standard deviation, then deriving implied team scores by splitting the total and mean margin. I also need to implement the inverse normal CDF and error-function-based normal CDF, and I'm checking what UI components already exist before deciding whether to build custom inputs.bf:T176f,[V0_FILE]typescript:file="/lib/nba-model.ts" /** * Model analisis NBA: * 1. Buang margin bandar (vigorish) dari odds desimal -> True Win Probability. * 2. Asumsi distribusi normal (Gaussian) pada selisih poin (margin) & total poin. * 3. Turunkan peluang Spread Cover dan Over/Under dari kekuatan relatif tim. */ // Standar deviasi historis margin akhir pertandingan NBA (~12 poin) export const MARGIN_SIGMA = 12 // Standar deviasi historis total poin NBA (~18 poin) export const TOTAL_SIGMA = 18 // Rata-rata total poin liga sebagai baseline netral export const LEAGUE_AVG_TOTAL = 228.5 /** Error function (Abramowitz & Stegun 7.1.26) */ function erf(x: number): number { const sign = x < 0 ? -1 : 1 const ax = Math.abs(x) const t = 1 / (1 + 0.3275911 * ax) const y = 1 - ((((1.061405429 * t - 1.453152027) * t + 1.421413741) * t - 0.284496736) * t + 0.254829592) * t * Math.exp(-ax * ax) return sign * y } /** CDF distribusi normal standar */ export function normalCdf(z: number): number { return 0.5 * (1 + erf(z / Math.SQRT2)) } /** Inverse CDF normal standar (aproksimasi Acklam) */ export function normalInv(p: number): number { const pp = Math.min(Math.max(p, 1e-9), 1 - 1e-9) const a = [-39.6968302866538, 220.946098424521, -275.928510446969, 138.357751867269, -30.6647980661472, 2.50662827745924] const b = [-54.4760987982241, 161.585836858041, -155.698979859887, 66.8013118877197, -13.2806815528857] const c = [-7.78489400243029e-3, -0.322396458041136, -2.40075827716184, -2.54973253934373, 4.37466414146497, 2.93816398269878] const d = [7.78469570904146e-3, 0.32246712907004, 2.445134137143, 3.75440866190742] const pLow = 0.02425 let q: number let r: number if (pp < pLow) { q = Math.sqrt(-2 * Math.log(pp)) return ( (((((c[0] * q + c[1]) * q + c[2]) * q + c[3]) * q + c[4]) * q + c[5]) / ((((d[0] * q + d[1]) * q + d[2]) * q + d[3]) * q + 1) ) } if (pp <= 1 - pLow) { q = pp - 0.5 r = q * q return ( ((((((a[0] * r + a[1]) * r + a[2]) * r + a[3]) * r + a[4]) * r + a[5]) * q) / (((((b[0] * r + b[1]) * r + b[2]) * r + b[3]) * r + b[4]) * r + 1) ) } q = Math.sqrt(-2 * Math.log(1 - pp)) return -( (((((c[0] * q + c[1]) * q + c[2]) * q + c[3]) * q + c[4]) * q + c[5]) / ((((d[0] * q + d[1]) * q + d[2]) * q + d[3]) * q + 1) ) } export type AnalysisInput = { awayTeam: string homeTeam: string oddsAway: number oddsHome: number spreadHome: number // contoh: -5.5 (home voor) atau +5.5 (home diberi voor) totalLine: number // contoh: 215.5 } export type AnalysisResult = { vig: number // margin bandar dalam persen winHome: number winAway: number expectedMargin: number // ekspektasi (skor home - skor away) fairOddsHome: number fairOddsAway: number spreadHome: number spreadAway: number coverHome: number coverAway: number totalLine: number projectedTotal: number over: number under: number projScoreHome: number projScoreAway: number picks: Pick[] best: Pick | null } export type Pick = { market: 'MONEYLINE' | 'SPREAD' | 'TOTAL' label: string detail: string probability: number } const fmtLine = (n: number) => `${n > 0 ? '+' : ''}${n}` export function analyze(input: AnalysisInput): AnalysisResult { const { oddsAway, oddsHome, spreadHome, totalLine, homeTeam, awayTeam } = input // 1. De-vig: normalisasi probabilitas implisit const rawHome = 1 / oddsHome const rawAway = 1 / oddsAway const overround = rawHome + rawAway const winHome = rawHome / overround const winAway = rawAway / overround const vig = (overround - 1) * 100 // 2. Ekspektasi margin dari probabilitas murni (Gaussian) const expectedMargin = normalInv(winHome) * MARGIN_SIGMA // 3. Spread cover: home cover jika margin > -spreadHome const homeNeeds = -spreadHome const coverHome = 1 - normalCdf((homeNeeds - expectedMargin) / MARGIN_SIGMA) const coverAway = 1 - coverHome const spreadAway = -spreadHome // 4. Total poin: line bandar adalah titik acuan (efisien), lalu digeser oleh // dua sinyal — bias line terhadap rata-rata liga & intensitas laga. const dominance = Math.abs(expectedMargin) const paceBias = (LEAGUE_AVG_TOTAL - totalLine) * 0.12 // line jauh di bawah liga -> condong Over const blowoutBias = dominance * 0.18 // laga timpang -> menit cadangan, tempo naik const projectedTotal = totalLine + paceBias + blowoutBias const over = 1 - normalCdf((totalLine - projectedTotal) / TOTAL_SIGMA) const under = 1 - over const projScoreHome = (projectedTotal + expectedMargin) / 2 const projScoreAway = (projectedTotal - expectedMargin) / 2 const picks: Pick[] = [ { market: 'MONEYLINE', label: `Kemenangan ${homeTeam}`, detail: 'Moneyline Home', probability: winHome, }, { market: 'MONEYLINE', label: `Kemenangan ${awayTeam}`, detail: 'Moneyline Away', probability: winAway, }, { market: 'SPREAD', label: `${homeTeam} (Spread ${fmtLine(spreadHome)})`, detail: 'Handicap Home', probability: coverHome, }, { market: 'SPREAD', label: `${awayTeam} (Spread ${fmtLine(spreadAway)})`, detail: 'Handicap Away', probability: coverAway, }, { market: 'TOTAL', label: `OVER ${totalLine} Poin`, detail: 'Total Points', probability: over, }, { market: 'TOTAL', label: `UNDER ${totalLine} Poin`, detail: 'Total Points', probability: under, }, ] const top = [...picks].sort((a, b) => b.probability - a.probability)[0] return { vig, winHome, winAway, expectedMargin, fairOddsHome: 1 / winHome, fairOddsAway: 1 / winAway, spreadHome, spreadAway, coverHome, coverAway, totalLine, projectedTotal, over, under, projScoreHome, projScoreAway, picks, best: top && top.probability > 0.6 ? top : null, } }c0:T176f,[V0_FILE]typescript:file="/lib/nba-model.ts" /** * Model analisis NBA: * 1. Buang margin bandar (vigorish) dari odds desimal -> True Win Probability. * 2. Asumsi distribusi normal (Gaussian) pada selisih poin (margin) & total poin. * 3. Turunkan peluang Spread Cover dan Over/Under dari kekuatan relatif tim. */ // Standar deviasi historis margin akhir pertandingan NBA (~12 poin) export const MARGIN_SIGMA = 12 // Standar deviasi historis total poin NBA (~18 poin) export const TOTAL_SIGMA = 18 // Rata-rata total poin liga sebagai baseline netral export const LEAGUE_AVG_TOTAL = 228.5 /** Error function (Abramowitz & Stegun 7.1.26) */ function erf(x: number): number { const sign = x < 0 ? -1 : 1 const ax = Math.abs(x) const t = 1 / (1 + 0.3275911 * ax) const y = 1 - ((((1.061405429 * t - 1.453152027) * t + 1.421413741) * t - 0.284496736) * t + 0.254829592) * t * Math.exp(-ax * ax) return sign * y } /** CDF distribusi normal standar */ export function normalCdf(z: number): number { return 0.5 * (1 + erf(z / Math.SQRT2)) } /** Inverse CDF normal standar (aproksimasi Acklam) */ export function normalInv(p: number): number { const pp = Math.min(Math.max(p, 1e-9), 1 - 1e-9) const a = [-39.6968302866538, 220.946098424521, -275.928510446969, 138.357751867269, -30.6647980661472, 2.50662827745924] const b = [-54.4760987982241, 161.585836858041, -155.698979859887, 66.8013118877197, -13.2806815528857] const c = [-7.78489400243029e-3, -0.322396458041136, -2.40075827716184, -2.54973253934373, 4.37466414146497, 2.93816398269878] const d = [7.78469570904146e-3, 0.32246712907004, 2.445134137143, 3.75440866190742] const pLow = 0.02425 let q: number let r: number if (pp < pLow) { q = Math.sqrt(-2 * Math.log(pp)) return ( (((((c[0] * q + c[1]) * q + c[2]) * q + c[3]) * q + c[4]) * q + c[5]) / ((((d[0] * q + d[1]) * q + d[2]) * q + d[3]) * q + 1) ) } if (pp <= 1 - pLow) { q = pp - 0.5 r = q * q return ( ((((((a[0] * r + a[1]) * r + a[2]) * r + a[3]) * r + a[4]) * r + a[5]) * q) / (((((b[0] * r + b[1]) * r + b[2]) * r + b[3]) * r + b[4]) * r + 1) ) } q = Math.sqrt(-2 * Math.log(1 - pp)) return -( (((((c[0] * q + c[1]) * q + c[2]) * q + c[3]) * q + c[4]) * q + c[5]) / ((((d[0] * q + d[1]) * q + d[2]) * q + d[3]) * q + 1) ) } export type AnalysisInput = { awayTeam: string homeTeam: string oddsAway: number oddsHome: number spreadHome: number // contoh: -5.5 (home voor) atau +5.5 (home diberi voor) totalLine: number // contoh: 215.5 } export type AnalysisResult = { vig: number // margin bandar dalam persen winHome: number winAway: number expectedMargin: number // ekspektasi (skor home - skor away) fairOddsHome: number fairOddsAway: number spreadHome: number spreadAway: number coverHome: number coverAway: number totalLine: number projectedTotal: number over: number under: number projScoreHome: number projScoreAway: number picks: Pick[] best: Pick | null } export type Pick = { market: 'MONEYLINE' | 'SPREAD' | 'TOTAL' label: string detail: string probability: number } const fmtLine = (n: number) => `${n > 0 ? '+' : ''}${n}` export function analyze(input: AnalysisInput): AnalysisResult { const { oddsAway, oddsHome, spreadHome, totalLine, homeTeam, awayTeam } = input // 1. De-vig: normalisasi probabilitas implisit const rawHome = 1 / oddsHome const rawAway = 1 / oddsAway const overround = rawHome + rawAway const winHome = rawHome / overround const winAway = rawAway / overround const vig = (overround - 1) * 100 // 2. Ekspektasi margin dari probabilitas murni (Gaussian) const expectedMargin = normalInv(winHome) * MARGIN_SIGMA // 3. Spread cover: home cover jika margin > -spreadHome const homeNeeds = -spreadHome const coverHome = 1 - normalCdf((homeNeeds - expectedMargin) / MARGIN_SIGMA) const coverAway = 1 - coverHome const spreadAway = -spreadHome // 4. Total poin: line bandar adalah titik acuan (efisien), lalu digeser oleh // dua sinyal — bias line terhadap rata-rata liga & intensitas laga. const dominance = Math.abs(expectedMargin) const paceBias = (LEAGUE_AVG_TOTAL - totalLine) * 0.12 // line jauh di bawah liga -> condong Over const blowoutBias = dominance * 0.18 // laga timpang -> menit cadangan, tempo naik const projectedTotal = totalLine + paceBias + blowoutBias const over = 1 - normalCdf((totalLine - projectedTotal) / TOTAL_SIGMA) const under = 1 - over const projScoreHome = (projectedTotal + expectedMargin) / 2 const projScoreAway = (projectedTotal - expectedMargin) / 2 const picks: Pick[] = [ { market: 'MONEYLINE', label: `Kemenangan ${homeTeam}`, detail: 'Moneyline Home', probability: winHome, }, { market: 'MONEYLINE', label: `Kemenangan ${awayTeam}`, detail: 'Moneyline Away', probability: winAway, }, { market: 'SPREAD', label: `${homeTeam} (Spread ${fmtLine(spreadHome)})`, detail: 'Handicap Home', probability: coverHome, }, { market: 'SPREAD', label: `${awayTeam} (Spread ${fmtLine(spreadAway)})`, detail: 'Handicap Away', probability: coverAway, }, { market: 'TOTAL', label: `OVER ${totalLine} Poin`, detail: 'Total Points', probability: over, }, { market: 'TOTAL', label: `UNDER ${totalLine} Poin`, detail: 'Total Points', probability: under, }, ] const top = [...picks].sort((a, b) => b.probability - a.probability)[0] return { vig, winHome, winAway, expectedMargin, fairOddsHome: 1 / winHome, fairOddsAway: 1 / winAway, spreadHome, spreadAway, coverHome, coverAway, totalLine, projectedTotal, over, under, projScoreHome, projScoreAway, picks, best: top && top.probability > 0.6 ? top : null, } }9d:["$","$L9e",null,{"params":{"chatId":"jg3IUUJqL5C"},"promises":{"attributes":"$@a8","externalMeta":"$@a9","latest":"$@aa","messagesRange":"$@ab","messages":"$@ac","template":"$@ad","gitStatus":"$@ae"},"children":["$","$Laf",null,{"chatId":"jg3IUUJqL5C","children":["$","$Lb0",null,{"seedOnlyKeys":["@\"chat:state\",\"jg3IUUJqL5C\","],"data":{"block:output:initial":{"id":"b_gRN9fSzEdgb","result":"$@b1"},"/chat/api/snapshots/proxy?chatId=jg3IUUJqL5C&messageId=Ebve2T8NmAnyUa6qw2ayHYYlpnA4vECK&v=v2":"$b2","@\"block:mappings\",\"jg3IUUJqL5C\",":{"sqlBlockExecutionStates":"$Qb3","blocksForkedFrom":"$Qb4","blocksTemplateIds":"$Qb5","blocksCreatedAt":"$Qb6","blocksShared":"$Qb7","blocksDeployed":"$Qb8","blocksSubdomains":"$Qb9","brandedBlocks":"$Qba","unlistedBlocks":"$Qbb","blockOutputs":"$Qbc"},"@\"chat:state\",\"jg3IUUJqL5C\",":{"messages":[{"content":{"type":"parts","parts":[{"type":"mdx","content":"$bd"}],"version":1},"role":"user","id":"SAWhCKO9ysrtTTvjsVwZBLVVlk7D423S","attachments":[],"type":"message","authorId":"IgQ0dZD0TU3EWp0NoCTUKmzH","createdAt":"$D2026-08-25T04:18:15.567Z"},{"v0ModelId":"v0-max","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1787631501978,"finishedAt":1787631510713,"lastPartSentAt":1787631510713,"taskNameActive":null,"id":"cgMXNYieZ3S18OOM","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":9,"thought":"I'm planning a single-page Next.js app with a dark/orange NBA theme for a client-side betting calculator, checking the project structure first. 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"],["code",{},""],["text",{},":"]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_Up4YcJWGCYe","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[],"source":"[V0_FILE]tsx:file=\"/app/layout.tsx\" \n...","latestDeploymentInfo":"$b8:6:1","lastDeployedAt":"2026-08-25T04:23:31.576Z","sourceVersionKey":"v_1_l9ehe_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_Up4YcJWGCYe","meta":{"taskNameActive":"Making changes","taskNameComplete":"Made some changes","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Making changes","taskNameComplete":"Made some changes"},"id":"block-b_Up4YcJWGCYe"}],["AssistantMessageContentPart",{"part":{"createdAt":1787631684493,"finishedAt":1787631684493,"lastPartSentAt":1787631684493,"id":"sWeZxCOAMKURYfWw","type":"task-start-v1","parts":[{"type":"launch-tasks"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1787631684493,"finishedAt":1787631684599,"lastPartSentAt":1787631684579,"taskNameActive":"Reading layout.tsx","taskNameComplete":"Read 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layout","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Updating layout","taskNameComplete":"Updated layout"},"id":"block-b_ipAnFUX9nXi"}],["p",{},["text",{},"Now add security headers and verify in the browser."]],["AssistantMessageContentPart",{"part":{"createdAt":1787631695999,"finishedAt":1787631696350,"lastPartSentAt":1787631696330,"taskNameActive":"Reading next config","taskNameComplete":"Read next config","toolCallId":"toolu_01Vds2dDDx2aUnV8BE5AEvhr","agentTurnId":"turn_BiOPf4wjmhRPFzlh","filePath":null,"id":"jnyOqcTo7wHkgWSk","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/next.config.mjs"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_OY6HEawtOrX","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"/next.config.mjs","baseName":"next.config.mjs","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]mjs:file=\"/next.config.mjs\" \nGENERATING","latestDeploymentInfo":"$b8:8:1","lastDeployedAt":"2026-08-25T04:23:31.576Z","sourceVersionKey":"v_1_oovio_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_OY6HEawtOrX","meta":{"taskNameActive":"Adding security headers","taskNameComplete":"Added security headers","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Adding security headers","taskNameComplete":"Added security headers"},"id":"block-b_OY6HEawtOrX"}],["p",{},["text",{},"Let me verify in the browser."]],["AssistantMessageContentPart",{"part":{"createdAt":1787631706308,"finishedAt":1787631706709,"lastPartSentAt":1787631706643,"taskNameActive":"Loading browser skill","taskNameComplete":"Loaded browser skill","toolCallId":"toolu_01BiFF7u7xeb9joLQkEyLngM","agentTurnId":"turn_EDQoh4UQBAPYDLo8","filePath":null,"id":"Bjz3x1jfdj18Uo8N","type":"task-skill-v1","parts":[{"type":"executing-skill","skillName":"agent-browser"},{"type":"skill-result","skillName":"agent-browser","skillSource":"built-in","fileCount":1,"isDesignSystem":false}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1787631710594,"finishedAt":1787631717140,"lastPartSentAt":1787631716986,"taskNameActive":"Opening preview","taskNameComplete":"Opened preview","toolCallId":"toolu_01DWeFrbTqP9ubjnyJc2PMFs","agentTurnId":"turn_gr4U5Cd2irH2Br0v","filePath":null,"id":"jQAEIXVLe7uP5ez7","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && agent-browser open \"http://localhost:${DEV_PORT:-3000}\" && agent-browser set viewport 390 844 && agent-browser wait --load networkidle && agent-browser wait 2500 && agent-browser snapshot -i"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"p2elCusf4ccRvTjE"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"✓ NBA Odds Analyzer — Win Probability, Spread & Total Points\n http://localhost:3000/\n✓ Done\n✓ Done\n✓ Done\n- heading \"NBA ODDS ANALYZER\" [level=1, ref=e1]\n- textbox \"TIM AWAY\" [ref=e4]\n- textbox \"TIM HOME\" [ref=e5]\n- spinbutton \"ODDS AWAY (DESIMAL)\" "},"id":"27j9UR9qheuc8tBO"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"[ref=e6]\n- spinbutton \"ODDS HOME (DESIMAL)\" [ref=e7]\n- spinbutton \"POINT SPREAD (HOME) Minus jika home yang memberi voor,\n\n...\n\nnbutton \"OVER / UNDER (TOTAL) Batas total poin kedua tim\" [ref=e9]\n- button \"ANALISIS\" [ref=e2]\n- button \"RESET\" [ref=e3]\n"},"id":"uGfH8ShPwR8KsyEv"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1787631721538,"finishedAt":1787631747949,"lastPartSentAt":1787631747766,"taskNameActive":"Testing analysis","taskNameComplete":"Tested analysis","toolCallId":"toolu_01KwC92xXcRrEhG6ZsGbo48H","agentTurnId":"turn_lZcPNbtmtHF0NtoK","filePath":null,"id":"VFvGG5nOKDTtJ0HS","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && agent-browser fill @e4 \"Golden State Warriors\" && agent-browser fill @e5 \"Boston Celtics\" && agent-browser fill @e6 \"2.60\" && agent-browser fill @e7 \"1.52\" && agent-browser fill @e8 \"-5.5\" && agent-browser fill @e9 \"215.5\" && agent-browser click @e2 && agent-browser wait --text \"Rekomendasi\" && agent-browser screenshot --full /tmp/agent-browser/nba-mobile.png"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"M9dwOgw4EgTEPijg"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"✓ Done\n✓ Done\n✓ Done\n✓ Done\n✓ Done\n✓ Done\n✓ Done\n\n✗ Wait timed out after 25000ms\n"},"id":"qBJIYrRn6gNSwY10"}]}}],["p",{},["text",{},"Text is uppercase-transformed, so \"Rekomendasi\" may render differently, or nothing happened. Let me snapshot."]],["AssistantMessageContentPart",{"part":{"createdAt":1787631752163,"finishedAt":1787631754235,"lastPartSentAt":1787631754092,"taskNameActive":"Checking result state","taskNameComplete":"Checked result state","toolCallId":"toolu_01Aok2ME8FECTX5o1S6Rm6Yd","agentTurnId":"turn_rEi7452QZkVcIGE8","filePath":null,"id":"cz9lZNKRP1x2gzKt","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && agent-browser snapshot && agent-browser screenshot --full /tmp/agent-browser/nba-mobile.png"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"ZaJyeCZpnSzSTBZx"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"- main\n - sectionheader\n - StaticText \"BASKETBALL ANALYTICS\"\n - heading \"NBA ODDS ANALYZER\" [level=1, ref=e1]\n - StaticText \"NBA ODDS ANALYZER\"\n - paragraph\n - StaticText \"Buang margin bandar dari odds desimal, lalu ukur peluang m"},"id":"j8Zr51IEVvzIEtHe"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"urni untuk moneyline, point spread, dan total poin memakai model distribusi normal.\"\n - form\n - LabelText\n - Sta\n\n...\n\n bukan jaminan hasil pertandingan. Gunakan dengan bijak.\"\n- alert\n✓ Screenshot saved to /tmp/agent-browser/nba-mobile.png\n"},"id":"GuscgxJgWmwuRQ0R"},{"type":"agent-browser-screenshot","id":"aQnqwwGqxKwOZPv7","screenshotUrl":"https://uploads.vusercontent.net/a/eyJhbGciOiJkaXIiLCJlbmMiOiJBMjU2R0NNIn0..5XjF72oKylzekwj5.zoGGwfYjRC0kqHKG8KwC_vAYaFr8FfkfCayBprILW5NMpvv2MbYnSth5VBitj02Ie5KQoiKSX_v68F4z3YvP6hK6SICGVCi-nMqYz9BnBwtDYZXgyfa2XKN85pHtz8ppGELwuegje5IkJRpEcLRIDEifRG8NjsiJWFm0fasckyrGqE8lF4_yOtISBXylmImVro2DAIqUqp3RFA.HusUAC-F30dGfBoCOpw02A","path":"/tmp/agent-browser/nba-mobile.png","browserUrl":null,"pageTitle":null,"width":390,"height":2292}]}}],["p",{},["text",{},"It works. But one issue: the projected total is driven only by dominance and league average, which makes Over/Under drift far from the user's line and dominate the recommendation. Let me anchor the projection to the bookmaker's line (which is the market's own information) so the total market is measured against a realistic expectation."]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_gRN9fSzEdgb","parts":[{"type":"code-project","isVersioned":true,"isSourceless":false,"changedFiles":[{"fileName":"/app/globals.css","baseName":"globals.css","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/lib/nba-model.ts","baseName":"nba-model.ts","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/components/analysis-results.tsx","baseName":"analysis-results.tsx","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/components/nba-analyzer.tsx","baseName":"nba-analyzer.tsx","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/app/page.tsx","baseName":"page.tsx","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/app/layout.tsx","baseName":"layout.tsx","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/next.config.mjs","baseName":"next.config.mjs","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"$bf","latestDeploymentInfo":"$b8:9:1","lastDeployedAt":"2026-08-25T04:24:00.794Z","sourceVersionKey":"v_1_jk25z_s3","needsBlockSource":false,"isAllImages":false,"blockId":"b_gRN9fSzEdgb","meta":{"taskNameActive":"Calibrating totals model","taskNameComplete":"Calibrated totals model","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Calibrating totals model","taskNameComplete":"Calibrated totals model"},"id":"block-b_gRN9fSzEdgb"}],["AssistantMessageContentPart",{"part":{"createdAt":1787631771779,"finishedAt":1787631777194,"lastPartSentAt":1787631777017,"taskNameActive":"Re-verifying analysis","taskNameComplete":"Re-verified analysis","toolCallId":"toolu_01WUmcrMf84msZACjtNAMm2H","agentTurnId":"turn_1a5aNxSZC8aQ8rvU","filePath":null,"id":"8Gb6Dp0rjzUPKiFV","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && agent-browser open \"http://localhost:${DEV_PORT:-3000}\" && agent-browser wait --load networkidle && agent-browser wait 2500 && agent-browser find label \"TIM AWAY\" fill \"Lakers\" && agent-browser find label \"TIM HOME\" fill \"Celtics\" && agent-browser find label \"ODDS AWAY (DESIMAL)\" fill \"3.10\""}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"D75aKJ6YaUfXdxiM"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"✓ NBA Odds Analyzer — Win Probability, Spread & Total Points\n http://localhost:3000/\n✓ Done\n✓ Done\n\n✗ No element found by label 'TIM AWAY'. Verify the selector, role, or name is correct and the element exists in the DOM.\n"},"id":"HEqjSoo4L3i7XlJv"}]}}],["p",{},["text",{},"Label text is source-cased (\"Tim Away\"). Let me snapshot and use refs."]],["AssistantMessageContentPart",{"part":{"createdAt":1787631780889,"finishedAt":1787631782591,"lastPartSentAt":1787631782440,"taskNameActive":"Snapshotting form","taskNameComplete":"Snapshotted form","toolCallId":"toolu_014A349DpMzkqJRJgF1HxLR9","agentTurnId":"turn_goVjg1Loc1Dfqaax","filePath":null,"id":"Af7jZ9WJniUuCcKO","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && agent-browser snapshot -i"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"JBII9jyztojgg104"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"- heading \"NBA ODDS ANALYZER\" [level=1, ref=e1]\n- textbox \"TIM AWAY\" [ref=e4]\n- textbox \"TIM HOME\" [ref=e5]\n- spinbutton \"ODDS AWAY (DESIMAL)\" [ref=e6]\n- spinbutton \"ODDS HOME (DESIMAL)\" [ref=e7]\n- spinbutton \"POINT SPREAD (HOME) Minus jika home yang"},"id":"sKYUzcFVPMje8jJT"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":" memberi voor, contoh -5.5\" [ref=e8]\n- spinbutton \"OVER / UNDER (TOTAL) Batas total poin kedua tim\" [ref=e9]\n- button \"ANALISIS\" [ref=e2]\n- button \"RESET\" [ref=e3]\n"},"id":"tVabG8mZKudqliTu"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1787631787013,"finishedAt":1787631790795,"lastPartSentAt":1787631790613,"taskNameActive":"Testing tight matchup","taskNameComplete":"Tested tight matchup","toolCallId":"toolu_01VxCkLFYFRPPviunymnwbWF","agentTurnId":"turn_9nOOk6xPf9W5xgmA","filePath":null,"id":"Zgf590qzoRLJBesK","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && agent-browser fill @e4 \"Lakers\" && agent-browser fill @e5 \"Celtics\" && agent-browser fill @e6 \"1.95\" && agent-browser fill @e7 \"1.95\" && agent-browser fill @e8 \"-1.5\" && agent-browser fill @e9 \"228.5\" && agent-browser click @e2 && agent-browser wait 1500 && agent-browser screenshot --full /tmp/agent-browser/nba-tight.png"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"Mk9oK0TDczQEgyBk"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"✓ Done\n✓ Done\n✓ Done\n✓ Done\n✓ Done\n✓ Done\n✓ Done\n✓ Done\n✓ Screenshot saved to /tmp/agent-browser/nba-tight.png\n"},"id":"pKIhHDPO3eu6yriI"},{"type":"agent-browser-screenshot","id":"VcnlrnUGeQZ2PMqq","screenshotUrl":"https://uploads.vusercontent.net/a/eyJhbGciOiJkaXIiLCJlbmMiOiJBMjU2R0NNIn0..JuJEzQsb9BrItCJR.0rkaG7XWFCpmFzAlO4RORuh4k_vyntJbpUaHNi_fIyXfvAD6uz6HKMzmrs84_YZgKvwBUTir6wxL_T-D8Dug6xhLFw9PYRNt_T9PMmISxnNnwbavzNOpKTsxsPKBvuf-UmytE-VhfmRsIvfDCg7UyIaiEZ5EyI0P7LhHbOiOUZh6oKqT4IZBvVKNv9wHTz73D3YDn_Wt2dM-yQ.FR9oSDnT1TCsZNPxp3LuwA","path":"/tmp/agent-browser/nba-tight.png","browserUrl":null,"pageTitle":null,"width":390,"height":2184}]}}],["p",{},["text",{},"Both cases behave correctly: a lopsided matchup produces a highlighted value bet, and a coin-flip game correctly reports no value bet. Let me check desktop layout."]],["AssistantMessageContentPart",{"part":{"createdAt":1787631795405,"finishedAt":1787631798739,"lastPartSentAt":1787631798541,"taskNameActive":"Checking desktop layout","taskNameComplete":"Checked desktop layout","toolCallId":"toolu_01WD1wvZ9HCjAUs36rBQSBu8","agentTurnId":"turn_XOCoHMUGsZWr5P6H","filePath":null,"id":"7ScY3on49AIKilzQ","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && agent-browser set viewport 1280 900 && agent-browser wait 800 && agent-browser screenshot --full /tmp/agent-browser/nba-desktop.png"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"80MDwMRzF5hSQLFe"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"✓ Done\n✓ Done\n✓ Screenshot saved to /tmp/agent-browser/nba-desktop.png\n"},"id":"xqRMthugZCsl9Y05"},{"type":"agent-browser-screenshot","id":"AyiqdgPLvSMjHMW8","screenshotUrl":"https://uploads.vusercontent.net/a/eyJhbGciOiJkaXIiLCJlbmMiOiJBMjU2R0NNIn0..s-QUHi7-c0qY8dFD.DdFcFXpLSbShjaIXF73wGst-TOuBQ4j9ZADFTfheRrqgiX2pxfsz8omtOaGrDzO1R_Op7gryZyU8_Gt107Dg8Z-SV8z5C7qRTJqOlsRBEbXYAQZaVW0pP4q9i1dck6sJmjRFxGiVDOkeDfOOpxYSTPfHIajoUwsPB6x3zPULHB1DBqyqosIFgkO2wIgc8eAPHNq-sdI9U7LNLw.8q-V8K3yWoHQhnjkVhuWUA","path":"/tmp/agent-browser/nba-desktop.png","browserUrl":null,"pageTitle":null,"width":1280,"height":1317}]}}],["p",{},["text",{},"NBA Odds Analyzer sudah jadi dan sudah saya uji langsung di browser (mobile 390px & desktop). Temanya hitam pekat dengan aksen oranye basket dan tipografi kondensasi sporty, semua lewat design token."]],["p",{},["text",{},"Mesin analisisnya ada di "],["code",{},"lib/nba-model.ts"],["text",{},": odds desimal di-de-vig (normalisasi probabilitas implisit) untuk dapat True Win Probability, lalu "],["code",{},"normalInv"],["text",{}," mengubahnya jadi ekspektasi margin dengan sigma 12 poin sehingga peluang cover handicap dihitung via CDF Gaussian; total poin diproyeksikan dari line bandar yang digeser oleh bias tempo liga dan faktor blowout, dengan sigma 18 poin. Kotak oranye di bawah otomatis mengambil pasar dengan persentase tertinggi dan hanya muncul kalau di atas 60% — jika semua di bawah ambang, tampil peringatan \"tidak ada value bet\" seperti pada uji laga imbang 1.95 vs 1.95."]]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"Ebve2T8NmAnyUa6qw2ayHYYlpnA4vECK","gitRevision":{"headSha":"a2b93eda3620a43a70bf451d8a17b4430bcbfe0a","readyAt":"2026-08-25T04:23:31.554Z","version":1,"commitMessage":"Initial commit from v0\n\nV0-Initial-Commit: v1"},"streaming":false,"finishReason":"stop","parentId":"SAWhCKO9ysrtTTvjsVwZBLVVlk7D423S","type":"message","creditCost":1.95929725,"workMetrics":{"diffMap":{},"linesRead":182,"agentActions":23},"createdAt":"$D2026-08-25T04:18:15.568Z","updatedAt":"$D2026-08-25T04:23:31.575Z"}],"lastSyncedAt":1788959349814,"undo":null,"activeForkKey":["SAWhCKO9ysrtTTvjsVwZBLVVlk7D423S","Ebve2T8NmAnyUa6qw2ayHYYlpnA4vECK"],"lifecycle":{"phase":"idle","persistence":"persisted"},"isAuthor":false,"isRestoring":false,"hashMessageId":null},"@\"active-block\",\"jg3IUUJqL5C\",":{"id":"b_gRN9fSzEdgb","meta":{"taskNameActive":"Calibrating totals model","taskNameComplete":"Calibrated totals model","type":"code-project","id":"Code"},"initial":true,"type":"code-project","messageId":"Ebve2T8NmAnyUa6qw2ayHYYlpnA4vECK","language":"typescriptreact","source":"$c0","closed":true,"hasSourceBeenEdited":false,"lastDeployedAt":"2026-08-25T04:24:00.794Z","latestDeploymentInfo":"$b8:9:1","isLoading":false,"needsBlockSource":false},"@\"chat:meta\",\"jg3IUUJqL5C\",":{"title":"NBA betting analyzer","authorId":"IgQ0dZD0TU3EWp0NoCTUKmzH","ownerId":"team_tHFtDfJ0ltJlHd2yb310fnXn","storageEntityType":"v0-git-s3-storage","storageEntityId":"v0-1-team_tHFtDfJ0ltJlHd2yb310fnXn-jg3IUUJqL5C","tailwindV4Default":true,"vercelProjectId":"prj_w14ztjK36zskNG1MSHwLOMMesM0F","canWriteToChat":false,"nextVersionDefault":16},"@\"chat:vm-mode\",\"jg3IUUJqL5C\",":true,"@\"chat:vercel-project\",\"jg3IUUJqL5C\",":"$@c1","@\"team:sensitive-environment-variable-policy\",\"jg3IUUJqL5C\",":"$@c2","@\"block-view\",\"jg3IUUJqL5C\",":true,"integrations:figma":"$@c3"},"children":["$Lc4","$Lc5","$Lc6","$Lc7","$Lc8"]}]}]}]