🏀 NBA Offensive Rebounds Analysis

Year-over-Year Trends and Statistics

Fetching NBA Data...

This may take a moment as we gather statistics from multiple seasons

\n );\n }\n\n if (state.error) {\n return (\n

🏀 NBA Offensive Rebounds Analysis

Year-over-Year Trends and Statistics

Error Loading Data

{state.error}

\n \n

\n );\n }\n\n if (!state.data) {\n return (\n

🏀 NBA Offensive Rebounds Analysis

Year-over-Year Trends and Statistics

No Data Available

Unable to load NBA offensive rebounds data

\n );\n }\n\n const { data } = state;\n const latestSeason = data.seasons[data.seasons.length - 1];\n const totalRebounds = data.seasons.reduce((sum, season) => sum + season.totalOffensiveRebounds, 0);\n\n return (\n

🏀 NBA Offensive Rebounds Analysis

Year-over-Year Trends and Statistics

\n\n

Total Seasons

{data.totalSeasons}

Analyzed

\n \n

Latest Season Total

{formatNumber(latestSeason.totalOffensiveRebounds)}

{latestSeason.season}

\n \n

Overall Trend

\n {data.overallTrend === 'increasing' ? '📈' : \n data.overallTrend === 'decreasing' ? '📉' : '➡️'}\n

{data.overallTrend}

\n \n

Total Rebounds

{formatNumber(totalRebounds)}

All Seasons

\n\n

Season-by-Season Breakdown

\n \n \n \n \n \n \n \n \n \n \n \n {data.seasons.map((season) => (\n \n \n \n \n \n \n \n ))}\n \n

Season	Total Offensive Rebounds	Average per Team	Year-over-Year Change	Percentage Change
{season.season}	{formatNumber(season.totalOffensiveRebounds)}	{season.averagePerTeam.toFixed(1)}	0 ? 'positive' : 'negative') : ''}`}>\n {season.yearOverYearChange ? formatChange(season.yearOverYearChange) : '—'}\n	0 ? 'positive' : 'negative') : ''}`}>\n {season.yearOverYearPercentage ? formatPercentage(season.yearOverYearPercentage) : '—'}\n

\n\n {(data.biggestIncrease || data.biggestDecrease) && (\n

Key Insights

\n \n {data.biggestIncrease && (\n

\n Biggest Year-over-Year Increase: {data.biggestIncrease.season} with \n {formatChange(data.biggestIncrease.change)} rebounds \n ({formatPercentage(data.biggestIncrease.percentage)})\n

\n )}\n \n {data.biggestDecrease && (\n

\n Biggest Year-over-Year Decrease: {data.biggestDecrease.season} with \n {formatChange(data.biggestDecrease.change)} rebounds \n ({formatPercentage(data.biggestDecrease.percentage)})\n

\n )}\n \n

\n Analysis Period: This analysis covers {data.totalSeasons} NBA seasons, \n tracking the total offensive rebounds across all 30 teams each season.\n

\n )}\n\n \n

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(row[offRebIndex] || 0) / row[gamesIndex] : 0\n }));\n\n } catch (error) {\n console.error(`Error fetching season ${season}:`, error);\n // Return empty array for failed seasons to continue with other seasons\n return [];\n }\n}\n\n/**\n * Calculates season totals and year-over-year changes\n */\nfunction calculateSeasonAnalysis(allTeamStats: TeamStats[]): AnalysisResult {\n // Group by season and calculate totals\n const seasonTotals = new Map();\n \n for (const teamStat of allTeamStats) {\n const existing = seasonTotals.get(teamStat.season);\n if (existing) {\n existing.totalOffensiveRebounds += teamStat.offensiveRebounds;\n } else {\n seasonTotals.set(teamStat.season, {\n season: teamStat.season,\n totalOffensiveRebounds: teamStat.offensiveRebounds,\n averagePerTeam: 0\n });\n }\n }\n\n // Calculate averages per team (assuming 30 teams)\n const seasons: SeasonStats[] = Array.from(seasonTotals.values()).map(season => ({\n ...season,\n averagePerTeam: season.totalOffensiveRebounds / 30\n }));\n\n // Sort by season\n seasons.sort((a, b) => a.season.localeCompare(b.season));\n\n // Calculate year-over-year changes\n for (let i = 1; i < seasons.length; i++) {\n const current = seasons[i];\n const previous = seasons[i - 1];\n \n current.yearOverYearChange = current.totalOffensiveRebounds - previous.totalOffensiveRebounds;\n current.yearOverYearPercentage = previous.totalOffensiveRebounds > 0 \n ? (current.yearOverYearChange / previous.totalOffensiveRebounds) * 100 \n : 0;\n }\n\n // Analyze trends\n const validChanges = seasons.filter(s => s.yearOverYearChange !== undefined);\n const increases = validChanges.filter(s => s.yearOverYearChange! > 0);\n const decreases = validChanges.filter(s => s.yearOverYearChange! < 0);\n \n let overallTrend: 'increasing' | 'decreasing' | 'stable' = 'stable';\n if (increases.length > decreases.length) {\n overallTrend = 'increasing';\n } else if (decreases.length > increases.length) {\n overallTrend = 'decreasing';\n }\n\n const biggestIncrease = increases.length > 0 \n ? increases.reduce((max, current) => \n current.yearOverYearChange! > max.yearOverYearChange! ? current : max)\n : undefined;\n\n const biggestDecrease = decreases.length > 0\n ? decreases.reduce((min, current) => \n current.yearOverYearChange! < min.yearOverYearChange! ? current : min)\n : undefined;\n\n return {\n seasons,\n totalSeasons: seasons.length,\n overallTrend,\n biggestIncrease: biggestIncrease ? {\n season: biggestIncrease.season,\n change: biggestIncrease.yearOverYearChange!,\n percentage: biggestIncrease.yearOverYearPercentage!\n } : undefined,\n biggestDecrease: biggestDecrease ? {\n season: biggestDecrease.season,\n change: biggestDecrease.yearOverYearChange!,\n percentage: biggestDecrease.yearOverYearPercentage!\n } : undefined\n };\n}\n\n/**\n * Main function to fetch and analyze NBA offensive rebounds data\n */\nexport async function analyzeOffensiveRebounds(): Promise {\n console.log('Starting NBA offensive rebounds analysis...');\n \n const allTeamStats: TeamStats[] = [];\n \n // Fetch data for all seasons with some delay to avoid rate limiting\n for (const season of SEASONS) {\n console.log(`Fetching data for season ${season}...`);\n try {\n const seasonStats = await fetchSeasonStats(season);\n allTeamStats.push(...seasonStats);\n \n // Add a small delay between requests to be respectful to the API\n await new Promise(resolve => setTimeout(resolve, 500));\n } catch (error) {\n console.error(`Failed to fetch season ${season}:`, error);\n }\n }\n\n console.log(`Fetched data for ${allTeamStats.length} team-season records`);\n \n if (allTeamStats.length === 0) {\n throw new Error('No NBA data could be fetched');\n }\n\n return calculateSeasonAnalysis(allTeamStats);\n}",[],[72,132],"5c35249c-e08a-11f0-a298-42dde27851f2","index.ts","3e263b12-e08a-11f0-b494-42dde27851f2",8,["D",1766554530552],"http","import { Hono } from \"https://esm.sh/hono@3.11.7\";\nimport { readFile, serveFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { analyzeOffensiveRebounds } from \"./nba-api.ts\";\n\nconst app = new Hono();\n\n// Unwrap Hono errors to see original error details\napp.onError((err) => Promise.reject(err));\n\n// Serve static files\napp.get(\"/frontend/*\", c => serveFile(c.req.path, import.meta.url));\napp.get(\"/shared/*\", c => serveFile(c.req.path, import.meta.url));\n\n// Main page - serve HTML with initial data\napp.get(\"/\", async c => {\n try {\n let html = await readFile(\"/frontend/index.html\", import.meta.url);\n \n // Inject loading state initially\n const dataScript = ``;\n\n html = html.replace(\"\", `${dataScript}`);\n return c.html(html);\n } catch (error) {\n console.error(\"Error serving main page:\", error);\n return c.text(\"Error loading page\", 500);\n }\n});\n\n// API endpoint to get offensive rebounds analysis\napp.get(\"/api/offensive-rebounds\", async c => {\n try {\n console.log(\"Starting offensive rebounds analysis...\");\n const analysis = await analyzeOffensiveRebounds();\n \n return c.json({\n success: true,\n data: analysis,\n timestamp: new Date().toISOString()\n });\n } catch (error) {\n console.error(\"Error in offensive rebounds analysis:\", error);\n return c.json({\n success: false,\n error: error instanceof Error ? error.message : \"Unknown error occurred\",\n timestamp: new Date().toISOString()\n }, 500);\n }\n});\n\n// Health check 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Code