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Sleeper's WR\n// is split by alignment (LWR/SWR/RWR); depth_chart_order is global across\n// those, so we merge them into a single WR depth list ordered by it.\nconst DCP_TO_POS: Record = {\n QB: \"QB\", RB: \"RB\", TE: \"TE\",\n WR: \"WR\", LWR: \"WR\", SWR: \"WR\", RWR: \"WR\", HWR: \"WR\",\n};\n\n// Static team metadata (Sleeper returns team abbreviations, not names/colors).\nconst TEAMS: Array<{ abbr: string; displayName: string; color: string }> = [\n { abbr: \"ARI\", displayName: \"Arizona Cardinals\", color: \"97233F\" },\n { abbr: \"ATL\", displayName: \"Atlanta Falcons\", color: \"A71930\" },\n { abbr: \"BAL\", displayName: \"Baltimore Ravens\", color: \"241773\" },\n { abbr: \"BUF\", displayName: \"Buffalo Bills\", color: \"00338D\" },\n { abbr: \"CAR\", displayName: \"Carolina Panthers\", color: \"0085CA\" },\n { abbr: \"CHI\", displayName: \"Chicago Bears\", color: \"0B162A\" },\n { abbr: \"CIN\", displayName: \"Cincinnati Bengals\", color: \"FB4F14\" },\n { abbr: \"CLE\", displayName: \"Cleveland Browns\", color: \"311D00\" },\n { abbr: \"DAL\", displayName: \"Dallas Cowboys\", color: \"002244\" },\n { abbr: \"DEN\", displayName: \"Denver Broncos\", color: \"002244\" },\n { abbr: \"DET\", displayName: \"Detroit Lions\", color: \"0076B6\" },\n { abbr: \"GB\", displayName: \"Green Bay Packers\", color: \"203731\" },\n { abbr: \"HOU\", displayName: \"Houston Texans\", color: \"002244\" },\n { abbr: \"IND\", displayName: \"Indianapolis Colts\", color: \"002C5F\" },\n { abbr: \"JAX\", displayName: \"Jacksonville Jaguars\", color: \"006778\" },\n { abbr: \"KC\", displayName: \"Kansas City Chiefs\", color: \"E31837\" },\n { abbr: \"LV\", displayName: \"Las Vegas Raiders\", color: \"000000\" },\n { abbr: \"LAC\", displayName: \"Los Angeles Chargers\", color: \"0080C6\" },\n { abbr: \"LAR\", displayName: \"Los Angeles Rams\", color: \"002244\" },\n { abbr: \"MIA\", displayName: \"Miami Dolphins\", color: \"008E97\" },\n { abbr: \"MIN\", displayName: \"Minnesota Vikings\", color: \"4F2683\" },\n { abbr: \"NE\", displayName: \"New England Patriots\", color: \"002244\" },\n { abbr: \"NO\", displayName: \"New Orleans Saints\", color: \"D3BC3F\" },\n { abbr: \"NYG\", displayName: \"New York Giants\", color: \"0B2265\" },\n { abbr: \"NYJ\", displayName: \"New York Jets\", color: \"125740\" },\n { abbr: \"PHI\", displayName: \"Philadelphia Eagles\", color: \"004C54\" },\n { abbr: \"PIT\", displayName: \"Pittsburgh Steelers\", color: \"FFB612\" },\n { abbr: \"SF\", displayName: \"San Francisco 49ers\", color: \"AA0000\" },\n { abbr: \"SEA\", displayName: \"Seattle Seahawks\", color: \"002244\" },\n { abbr: \"TB\", displayName: \"Tampa Bay Buccaneers\", color: \"D50A0A\" },\n { abbr: \"TEN\", displayName: \"Tennessee Titans\", color: \"002244\" },\n { abbr: \"WAS\", displayName: \"Washington Commanders\", color: \"5A1414\" },\n];\n\n// Safe JSON fetch: return null on any error (bad JSON, network, HTML error page)\nasync function safeJson(url: string): Promise {\n try {\n const resp = await fetch(url);\n if (!resp.ok) return null;\n const ct = resp.headers.get(\"content-type\") ?? \"\";\n if (!ct.includes(\"json\")) return null;\n return await resp.json();\n } catch {\n return null;\n }\n}\n\n// ------------------------------------------------------------------\n// Data model\n// ------------------------------------------------------------------\n\ninterface Player {\n name: string;\n sleeperId: string | null;\n depth: number | null;\n position: string;\n team: string;\n history: Record;\n proj: number | null;\n lastPPR: number | null;\n}\ninterface TeamData {\n abbr: string;\n displayName: string;\n color: string;\n positions: Record;\n}\ninterface Dataset {\n updatedAt: string;\n seasons: number[];\n source: string;\n teams: TeamData[];\n}\n\n// ------------------------------------------------------------------\n// Build dataset from Sleeper player + season-stats payloads\n// ------------------------------------------------------------------\n\n// Recency-weighted projection: blend last 3 completed seasons' PPR,\n// weighting recent seasons more. Serves as a free, transparent baseline\n// (true expert projections are premium-gated on most sites).\n// 2025 * 0.5 + 2024 * 0.3 + 2023 * 0.2, renormalized over seasons present.\nfunction project(history: Record): number | null {\n const WEIGHTS: [string, number][] = [\n [String(SEASONS[0]), 0.5],\n [String(Math.max(SEASONS[0] - 1, 0)), 0.3],\n [String(Math.max(SEASONS[0] - 2, 0)), 0.2],\n ];\n let sum = 0, wsum = 0;\n for (const [yr, w] of WEIGHTS) {\n const v = history[yr];\n if (typeof v === \"number\" && v > 0) { sum += v * w; wsum += w; }\n }\n if (wsum === 0) return null;\n return Math.round((sum / wsum) * 10) / 10;\n}\n\nfunction buildDataset(\n players: Record,\n statsBySeason: Record>,\n): Dataset {\n const byTeam: Record> = {};\n for (const t of TEAMS) byTeam[t.abbr] = { QB: [], RB: [], WR: [], TE: [] };\n\n for (const [pid, p] of Object.entries(players)) {\n // only active offensive skill-position players\n if (!p.active) continue;\n const dcp = p.depth_chart_position;\n if (!dcp) continue;\n const pos = DCP_TO_POS[dcp];\n if (!pos) continue; // skip OL/DL/LB/DB/K/P\n const team = p.team;\n if (!byTeam[team]) continue; // free agents etc.\n\n const history: Record = {};\n for (const s of SEASONS) {\n const st = statsBySeason[s]?.[pid];\n const ppr = st?.pts_ppr;\n if (typeof ppr === \"number\") history[String(s)] = Math.round(ppr * 10) / 10;\n }\n\n // Sleeper's depth_chart_order is a 1-based global ranking within the\n // depth position on the team (1 = starter). Merge all WR slides into WR.\n const depth = typeof p.depth_chart_order === \"number\" ? p.depth_chart_order : null;\n byTeam[team][pos].push({\n name: p.full_name,\n sleeperId: pid,\n depth,\n position: pos,\n team,\n history,\n proj: project(history),\n lastPPR: history[String(SEASONS[0])] ?? null,\n });\n }\n\n // sort each position list by depth (null -> end), then name\n const teams: TeamData[] = TEAMS.map((t) => {\n const positions: Record = {};\n for (const pos of [\"QB\", \"RB\", \"WR\", \"TE\"]) {\n const list = byTeam[t.abbr][pos];\n list.sort((a, b) => {\n if (a.depth === null && b.depth === null) return a.name.localeCompare(b.name);\n if (a.depth === null) return 1;\n if (b.depth === null) return -1;\n return a.depth - b.depth;\n });\n positions[pos] = list.slice(0, 8); // keep top 8 per position\n }\n return { abbr: t.abbr, displayName: t.displayName, color: t.color, positions };\n });\n\n return {\n updatedAt: new Date().toISOString(),\n seasons: SEASONS,\n source: \"Sleeper depth charts + PPR stats\",\n teams,\n };\n}\n\n// ------------------------------------------------------------------\n// Build (fetch everything, merge, cache)\n// ------------------------------------------------------------------\n\nasync function rebuildAndCache(): Promise {\n const players = await safeJson(SLEEPER_PLAYERS) ?? {};\n const statsBySeason: Record> = {};\n await Promise.all(\n SEASONS.map(async (s) => {\n statsBySeason[s] = await safeJson(STATS(s)) ?? {};\n }),\n );\n\n const dataset = buildDataset(players, statsBySeason);\n await blob.setJSON(CACHE_KEY, dataset);\n await blob.set(TS_KEY, String(Date.now()));\n return dataset;\n}\n\nasync function getData(force = false): Promise {\n if (!force) {\n try {\n const tsStr = await blob.get(TS_KEY).then((r) => r.text());\n const ts = Number(tsStr);\n if (ts && Date.now() - ts < TTL_SECONDS * 1000) {\n const cached = await blob.getJSON(CACHE_KEY) as Dataset | null;\n if (cached) return cached;\n }\n } catch {\n /* rebuild */\n }\n }\n return rebuildAndCache();\n}\n\n// ------------------------------------------------------------------\n// News (Google News RSS)\n// ------------------------------------------------------------------\n\ninterface NewsItem { title: string; link: string; source: string; pubDate: string; }\n\n// Fetch + parse Bing News RSS for a query, with a per-query cache.\nasync function fetchNews(query: string): Promise {\n const cacheKey = \"ffdepth/news/v2/\" + query.toLowerCase().replace(/[^a-z0-9]+/g, \"_\").slice(0, 60);\n try {\n const cached = await blob.getJSON(cacheKey).catch(() => undefined) as { t?: number, items?: NewsItem[] } | undefined;\n if (cached && cached.items && cached.t && Date.now() - cached.t < NEWS_TTL_SECONDS * 1000) {\n return cached.items;\n }\n } catch { /* fall through */ }\n\n try {\n const resp = await fetch(newsQuery(query), { headers: { \"User-Agent\": UA } });\n const xml = await resp.text();\n const items = parseRSS(xml);\n // Only cache non-empty results — avoid poisoning the cache with a transient empty.\n if (items.length > 0) await blob.setJSON(cacheKey, { t: Date.now(), items });\n return items;\n } catch {\n return [];\n }\n}\n\n// Minimal Google News RSS parser: pull , <link/>, <source>, <pubDate>\nfunction parseRSS(xml: string): NewsItem[] {\n const out: NewsItem[] = [];\n const itemRe = /<item>([\\s\\S]*?)<\\/item>/g;\n let m: RegExpExecArray | null;\n while ((m = itemRe.exec(xml)) !== null) {\n const block = m[1];\n const get = (tag: string) => {\n const mm = block.match(new RegExp(`<${tag}[^>]*>([\\\\s\\\\S]*?)<\\\\/${tag}>`));\n return mm ? decodeEntities(mm[1].trim()) : \"\";\n };\n const title = get(\"title\");\n const link = get(\"link\");\n if (!title || !link) continue;\n out.push({ title, link, source: get(\"source\"), pubDate: get(\"pubDate\") });\n }\n return out.slice(0, 8);\n}\n\nfunction decodeEntities(s: string): string {\n return s.replace(/</g, \"<\").replace(/>/g, \">\").replace(/"/g, '\"')\n .replace(/'/g, \"'\").replace(/&/g, \"&\");\n}\n\n// ------------------------------------------------------------------\n// Vibe engine: derive \"vibes\" (heat, sentiment, tags, take) from news\n// ------------------------------------------------------------------\n\ninterface Vibe {\n heat: number; // 0..100 \"buzz heat\" based on recency+volume\n sentiment: \"pos\" | \"neg\" | \"neu\";\n pos: number; neg: number; neu: number; // counts\n tags: string[]; // e.g. Hype, Injury?, RBBC, Holdout\n take: string; // one-line synthesized vibe\n pulledAt: string;\n}\n\n// Keyword → tag for vibe tagging. Also used to weight sentiment.\nconst VIBE_TAGS: [RegExp, string, number][] = [\n [/breakout|hyped|hype train|rising|emerging|impressive|stands out|star|carr[ey]+ing|weapon/i, \"Hype\", +1],\n [/rehab|injur|week-to-week|doubtful|question(able)?|limite?d|day-to-day|setback|out for/i, \"Injury risk\", -1],\n [/holdout|contract|extension|demand(ed)? trade|sit-?out/i, \"Contract/holdout\", -1],\n [/rbbc|committee|split|crowded|competition for|battle/i, \"Crowded backfield\", -1],\n [/sleeper|breakout|drafted late|unloved|undervalued|steal/i, \"Sleeper\", +1],\n [/rd1|ready to go|full|healthy|first-team|looks good|sharp/i, \"Good form\", +1],\n [/regress|falling|slump|cold|strugg|lost|lighter|slow|doubt|step back/i, \"Falling\", -1],\n [/td|touchdown|target|volume|featured|bell-?cow|heavy/i, \"Volume\", +1],\n];\n\nfunction titleHas(s: string, re: RegExp): boolean { re.lastIndex = 0; return re.test(s); }\n\n// Build a vibe from a list of news headlines. Pure function, no I/O.\nfunction deriveVibe(items: NewsItem[]): Vibe {\n const now = Date.now();\n let pos = 0, neg = 0, neu = 0, heat = 0;\n const tags = new Set<string>();\n let recentHits = 0, totalHits = 0;\n\n for (const it of items) {\n const t = it.title;\n let p = 0;\n for (const [re, tag, dir] of VIBE_TAGS) {\n if (titleHas(t, re)) { tags.add(tag); p += dir; }\n }\n if (p > 0) pos++; else if (p < 0) neg++; else neu++;\n\n // heat: weight by recency (roughly: pubDate within last ~200h more buzz)\n const age = now - Date.parse(it.pubDate || \"\");\n if (!isNaN(age) && age < 7*24*3600*1000) recentHits++;\n totalHits++;\n }\n\n const n = Math.max(items.length, 1);\n // heat: buzz volume + recency, gentle so it discriminates (not always 100)\n heat = Math.round(Math.min(100, items.length * 6 + recentHits * 4));\n\n const sentiment: Vibe[\"sentiment\"] = (pos > neg) ? \"pos\" : (neg > pos) ? \"neg\" : \"neu\";\n\n // one-line take\n let take: string;\n if (pos > neg && pos > 0) {\n take = `🔥 Positive buzz — ${pos}/${n} recent headlines upbeat (${[...tags].filter(t=>t!==\"Hype\").slice(0,3).join(\", \") || \"momentum\"}).`;\n } else if (neg > pos && neg > 0) {\n take = `🧊 Negative chatter — ${neg}/${n} headlines raise concern (${[...tags].slice(0,3).join(\", \") || \"risk\"}).`;\n } else {\n take = `⚖️ Mixed/quiet — ${items.length} recent headlines, no dominant tone.`;\n }\n\n return {\n heat,\n sentiment,\n pos, neg, neu,\n tags: [...tags.keys()].slice(0, 4),\n take,\n pulledAt: new Date(now).toISOString(),\n };\n}\n\n\n// ------------------------------------------------------------------\n// Frontend (single-file HTML)\n// ------------------------------------------------------------------\n\nconst CSS = `\n:root{--bg:#0f1216;--card:#161b22;--border:#2a313c;--fg:#e6edf3;--muted:#8b949e;--acc:#f0a500}\n*{box-sizing:border-box;margin:0;padding:0}\nbody{background:var(--bg);color:var(--fg);font-family:system-ui,-apple-system,Segoe UI,Roboto,sans-serif;padding:20px}\nh1{font-size:20px;margin-bottom:4px}\n.sub{color:var(--muted);font-size:12px;margin-bottom:16px}\n.grid{display:grid;grid-template-columns:repeat(auto-fill,minmax(150px,1fr));gap:10px;margin-bottom:20px}\n.team{background:var(--card);border:1px solid var(--border);border-radius:8px;padding:10px;cursor:pointer;text-align:center;transition:.15s}\n.team:hover{border-color:var(--acc)}\n.team .tname{font-weight:600;font-size:14px}\n.team .tabbr{color:var(--muted);font-size:11px}\n.detail{display:none;background:var(--card);border:1px solid var(--border);border-radius:10px;padding:18px}\n.detail.show{display:block}\n.detail h2{margin-bottom:14px;font-size:18px}\n.pos{margin-bottom:18px}\n.pos h3{font-size:13px;text-transform:uppercase;letter-spacing:.06em;color:var(--acc);border-bottom:1px solid var(--border);padding-bottom:6px;margin-bottom:8px}\ntable{width:100%;border-collapse:collapse;font-size:13px}\nth{text-align:left;color:var(--muted);font-weight:500;font-size:11px;text-transform:uppercase;padding:4px 8px;border-bottom:1px solid var(--border)}\ntd{padding:5px 8px;border-bottom:1px solid #1e242c}\ntr:hover td{background:#1a2027}\n.depth{color:var(--muted);font-size:11px;width:44px}\n.ppr{text-align:right;font-variant-numeric:tabular-nums}\n.ppr.top{color:#7ee787;font-weight:600}\n.ppr.none{color:var(--muted)}\n.proj{color:#58a6ff;font-weight:600}\n.ppr .proj{color:#58a6ff}\n.upd{color:var(--muted);font-size:11px;margin-top:8px}\na{color:var(--acc)}\n.star{background:none;border:none;color:var(--muted);cursor:pointer;font-size:15px;line-height:1;padding:2px 4px;width:26px}\n.star:hover{color:var(--acc)}\n.star.on{color:#f0a500}\ntr.watched td{background:rgba(240,165,0,.08)}\n.watch{background:var(--card);border:1px solid var(--border);border-radius:10px;padding:16px;margin-bottom:20px}\n.watch h2{font-size:16px;margin-bottom:4px}\n.watch .empty{color:var(--muted);font-size:13px}\n.watch table td .teamtag{color:var(--muted)}\n.watch-badge{font-size:11px;background:var(--acc);color:#000;border-radius:10px;padding:1px 7px;margin-left:6px;font-weight:600}\n.research{background:var(--card);border:1px solid var(--border);border-radius:10px;padding:16px;margin-bottom:20px}\n.research h2{font-size:16px;margin-bottom:10px}\n.searchbar{display:flex;gap:8px;margin-bottom:10px;flex-wrap:wrap}\n.searchbar input{flex:1;min-width:180px;background:var(--bg);color:var(--fg);border:1px solid var(--border);border-radius:5px;padding:8px 10px;font-size:14px}\n.posfilter{display:flex;gap:6px}\n.pf{background:var(--bg);color:var(--fg);border:1px solid var(--border);border-radius:15px;padding:5px 12px;cursor:pointer;font-size:13px}\n.pf.on{background:var(--acc);color:#000;border-color:var(--acc);font-weight:600}\n.results{max-height:480px;overflow:auto}\n.results table td .catch{color:var(--muted)}\n.news{background:var(--card);border:1px solid var(--border);border-radius:10px;padding:16px;margin-bottom:20px}\n.news h2{font-size:16px;margin-bottom:10px}\n.news .searchbar{margin-bottom:8px}\n.nitem{padding:9px 0;border-bottom:1px solid #1e242c}\n.nitem:last-child{border-bottom:none}\n.nitem a{color:var(--fg);text-decoration:none;font-size:14px;line-height:1.35}\n.nitem a:hover{color:var(--acc)}\n.nitem .meta{color:var(--muted);font-size:11px;margin-top:3px}\n.nitem .src{color:var(--acc);font-weight:600}\n.ngroup h3{font-size:12px;text-transform:uppercase;letter-spacing:.05em;color:var(--acc);margin:12px 0 4px;border-bottom:1px solid var(--border);padding-bottom:4px}\n.news .empty{color:var(--muted);font-size:13px;padding:6px 0}\n.vbtn{background:none;border:1px solid var(--border);color:var(--acc);border-radius:5px;padding:2px 7px;font-size:11px;cursor:pointer;margin-left:4px;vertical-align:middle}\n.vbtn:hover{background:var(--acc);color:#000;border-color:var(--acc)}\n.nvibe{font-size:11px;color:var(--muted);margin:2px 0 4px;display:flex;gap:8px;align-items:center;flex-wrap:wrap}\n.nvibe .heat{font-weight:600}\n.modal-bg{position:fixed;inset:0;background:rgba(0,0,0,.6);display:none;align-items:center;justify-content:center;z-index:50}\n.modal-bg.open{display:flex}\n.vibe-card{background:var(--card);border:1px solid var(--border);border-radius:14px;padding:20px;max-width:440px;width:92%;max-height:85vh;overflow:auto}\n.vibe-card h3{margin-bottom:4px;font-size:16px}\n.vibe-card .sub{color:var(--muted);font-size:12px;margin-bottom:12px}\n.vibe-heat{font-size:28px;font-weight:700;margin:6px 0}\n.vibe-bar{display:flex;height:10px;border-radius:5px;overflow:hidden;margin:10px 0}\n.vibe-bar .seg{height:100%}\n.vibe-tags{display:flex;gap:6px;flex-wrap:wrap;margin:10px 0}\n.vibe-tags span{background:#1e242c;color:var(--fg);border:1px solid var(--border);border-radius:10px;padding:2px 9px;font-size:11px}\n.vibe-take{font-size:13px;color:var(--fg);line-height:1.5;border-top:1px solid var(--border);padding-top:10px;margin-top:4px}\n.vibe-headlines{margin-top:12px}\n.vibe-headlines h4{font-size:11px;text-transform:uppercase;color:var(--muted);letter-spacing:.05em;margin-bottom:6px}\n.vibe-headlines .nitem{padding:5px 0}\n.vibe-card .close{float:right;background:none;border:none;color:var(--muted);font-size:18px;cursor:pointer}\n`;\n\nfunction frontend(dataset: any): string {\n const teams = dataset.teams;\n const seasons = dataset.seasons;\n const posOrder = [\"QB\", \"RB\", \"WR\", \"TE\"];\n\n // Flat player index for the client-side search/position view.\n function flatData(): Array<any> {\n const out: any[] = [];\n for (const t of teams) {\n for (const pos of posOrder) {\n for (const p of (t.positions?.[pos] ?? [])) {\n out.push({\n id: p.sleeperId ?? `${t.abbr}-${pos}-${p.name}`,\n name: p.name,\n pos,\n tab: t.abbr,\n team: t.displayName,\n depth: p.depth,\n h: p.history ?? {},\n proj: p.proj ?? null,\n });\n }\n }\n }\n return out;\n }\n\n let teamButtons = \"\";\n for (const t of teams) {\n const n = (posOrder.map((p) => (t.positions?.[p] ?? []).length)).reduce((a, b) => a + b, 0);\n if (!n) continue;\n teamButtons += `\n <div class=\"team\" data-abbr=\"${t.abbr}\" style=\"border-top:3px solid #${t.color}\" onclick=\"showTeam('${t.abbr}')\">\n <div class=\"tname\">${esc(t.displayName)}</div>\n <div class=\"tabbr\">${t.abbr}</div>\n </div>`;\n }\n\n const detailBoxes = teams.map((t: any) => {\n let html = `<h2>${esc(t.displayName)} (${t.abbr})</h2>`;\n for (const pos of posOrder) {\n const list = t.positions?.[pos] ?? [];\n if (!list.length) continue;\n html += `<div class=\"pos\"><h3>${pos}</h3><table><thead><tr><th></th><th>Player</th><th style=\"text-align:right\">2026 Proj</th>`;\n for (const s of seasons) html += `<th style=\"text-align:right\">${s} PPR</th>`;\n html += `</tr></thead><tbody>`;\n for (const p of list) {\n const pid = p.sleeperId ?? `${t.abbr}-${esc(p.name)}`;\n html += `<tr data-pid=\"${pid}\" class=\"prow\">\n <td class=\"depth\"><button class=\"star\" data-pid=\"${pid}\" data-name=\"${esc(p.name)}\" data-team=\"${t.abbr}\" data-pos=\"${pos}\" onclick=\"toggleWatch(this,event)\" title=\"Watch\">☆</button></td>\n <td>${esc(p.name)} <button class=\"vbtn\" data-vname=\"${esc(p.name).replace(/\"/g,'"')}\" onclick=\"openVibe(this.dataset.vname)\">vibes</button></td>\n <td class=\"ppr\">${p.proj != null ? `<span class=\"proj\">${p.proj}</span>` : `<span class=\"ppr none\">–</span>`}</td>`;\n for (const s of seasons) {\n const v = p.history?.[String(s)];\n const cls = v != null && p.lastPPR != null && v === p.lastPPR ? \"top\" : \"\";\n html += `<td class=\"ppr\">${v != null\n ? `<span class=\"${cls}\">${v}</span>`\n : `<span class=\"ppr none\">–</span>`}</td>`;\n }\n html += `</tr>`;\n }\n html += `</tbody></table></div>`;\n }\n return `<div class=\"detail\" id=\"detail-${t.abbr}\">${html}</div>`;\n }).join(\"\");\n\n return `<!doctype html><html><head><meta charset=\"utf-8\">\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1\">\n<title>FF Depth Charts · PPR Research\n

🏈 NFL Offensive Depth Charts · PPR Research

Sleeper depth charts + full-season PPR (Green = most recent season) · raw JSON

⭐ My Watchlist 0

\n Sync key (use the SAME key on every device to share your list):\n \n \n \n

No watched players yet — tap the ☆ on any player.

🔎 Research 0

\n \n

\n \n \n \n \n \n

	Player	Pos	Team	Depth	2026 Proj	2025	2024	2023	2022

📰 Latest News

\n \n \n ⭐ Watchlist news\n

Watching players? Their latest headlines show here. Or search any team/player above.

\n\n

${teamButtons}

\n${detailBoxes}\n

Updated ${new Date(dataset.updatedAt).toLocaleString()}

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Supports batched q=Player|Team|Player...\n // Warm news cache for a watchlist: ?key=&token=\n if (path === \"/warm\") {\n const key = (url.searchParams.get(\"key\") || \"\").trim();\n const tok = url.searchParams.get(\"token\") || \"\";\n if (tok !== REFRESH_TOKEN) return new Response(\"forbidden\", { status: 403 });\n if (!key) return Response.json({ ok: false, message: \"no key\" });\n const w = await blob.getJSON(\"ffdepth/watch/\" + key).catch(() => undefined) as { items?: any[] } | undefined;\n const names = (w?.items ?? 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