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moment().format(\"YYYY-MM-DD\"),\n },\n ]);\n\n console.log({ error });\n\n if (!data) return;\n\n const [entry] = data;\n\n return entry;\n }\n}\n\nexport default TeamsRankingRepository;","createdAt",["D",1726068763490],"version",7,"currentUserHasLiked","likeCount","forkCount","referenceCount",3,"dependencyCount","commentCount","prCount","mergedPr",{"_134":135,"_136":137},"handle","nmsilva","profileImageUrl","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvb2F1dGhfZ2l0aHViL2ltZ18yZlNYVHdvT3FqSExKd0Y5Qmx5WllLWVR6UjMifQ","forkedVal","fileId","interval","slug","nmsilva/teamsRankingRepository","description","An interactive, runnable TypeScript val by nmsilva","versions",[147,150,154,158,162,165,168,172],{"_122":123,"_148":-5,"_120":149,"_117":115},"prId",["D",1726068763490],{"_122":151,"_148":-5,"_120":152,"_117":153},6,["D",1726068638011],"cbc5dc74-7052-11ef-855a-de64eea55b61",{"_122":155,"_148":-5,"_120":156,"_117":157},5,["D",1726067904713],"16b14f90-7051-11ef-88e4-de64eea55b61",{"_122":159,"_148":-5,"_120":160,"_117":161},4,["D",1726067071521],"261262f0-704f-11ef-a9b9-de64eea55b61",{"_122":128,"_148":-5,"_120":163,"_117":164},["D",1726047603713],"d25a9d08-7021-11ef-8404-de64eea55b61",{"_122":94,"_148":-5,"_120":166,"_117":167},["D",1726047552140],"b39d1e18-7021-11ef-b0f4-de64eea55b61",{"_122":169,"_148":-5,"_120":170,"_117":171},1,["D",1726047286323],"152ca64a-7021-11ef-86ea-de64eea55b61",{"_122":33,"_148":-5,"_120":173,"_117":174},["D",1726046904191],"3167e24e-7020-11ef-a71d-de64eea55b61","recentThread","breadcrumbs","comments",[],"isOwner","routes/_app.v.$handle.$name.references",{"_182":183,"_127":169,"_238":142,"_239":33,"_98":240},"referenceList",[184],{"_104":185,"_186":187},"dfa9f038-84d2-11ef-92bf-de64eea55b61","initialData",{"_102":188,"_99":100,"_104":185,"_106":189,"_108":-5,"_109":110,"_111":-5,"_112":113,"_114":190,"_116":27,"_117":190,"_118":191,"_120":192,"_122":193,"_124":27,"_125":33,"_127":94,"_129":155,"_130":33,"_126":33,"_131":33,"_132":-5,"_21":194,"_138":-5,"_140":-7,"_143":144,"_195":-5,"_141":196,"_145":197},"strategiesHelpers","c4dad0a0-296b-11ef-bd5e-cab58f78796a","0b826690-bc64-11ef-a4e0-e6cdfca9ef9f","import CacheService from \"https://esm.town/v/nmsilva/supabaseCache\";\nimport ForbetEventsService from \"https://esm.town/v/nmsilva/forbetEventService\";\nimport { omit, uniq } from \"npm:ramda\";\nimport moment from \"https://esm.sh/moment\";\nimport { createClient as createRedisClient } from \"npm:redis\";\nimport ResultsRepository from \"https://esm.town/v/nmsilva/resultsRepository\";\nimport TeamsRankingRepository from \"https://esm.town/v/nmsilva/teamsRankingRepository\";\nimport eventsUtils from \"https://esm.town/v/nmsilva/eventsUtils\";\n\nconst homeTeamGoals = (result) => parseInt(result.split(\"-\")[0]);\nconst awayTeamGoals = (result) => parseInt(result.split(\"-\")[1]);\n\nconst parseTournamentName = (tournament) =>\n `${tournament[0] !== \"\" ? `${tournament[0]} - ` : \"\"}${tournament[1]}`;\n\nconst getTournaments = (allTournaments, touramentsActive) => {\n return Object.entries(allTournaments)\n .map(([key, value]) => ({\n id: key,\n name: parseTournamentName(value),\n url: value[2],\n meta: value,\n }))\n .filter((t) => touramentsActive.includes(t.id));\n};\n\nconst filterEventsOnSameTime = (events) => {\n // exclude events that has already started another event at the same time\n return events.reduce((acc, item) => {\n const { DATE_BAH: curEventDate } = item;\n\n const hasEventOnSameTime = acc.some((e) => {\n const { DATE_BAH: eventDate } = e;\n\n return moment(curEventDate, \"YYYY-MM-DD HH:mm:ss\").isBetween(\n moment(eventDate, \"YYYY-MM-DD HH:mm:ss\").subtract(10, \"minutes\"),\n moment(eventDate, \"YYYY-MM-DD HH:mm:ss\").add(2, \"hours\")\n );\n });\n\n return hasEventOnSameTime ? acc : [...acc, item];\n }, []);\n};\n\nconst enrichEvents = (events, tournaments) =>\n events.map((row) => {\n const result = row.Host_SC ? `${row.Host_SC} - ${row.Guest_SC}` : \"-\";\n let winner = null;\n let prediction = \"X\";\n let bestOdd = row.best_odd_X;\n\n if (+row.guest_sc_pr > +row.host_sc_pr) {\n prediction = \"2\";\n bestOdd = row.best_odd_2;\n }\n if (+row.guest_sc_pr < +row.host_sc_pr) {\n prediction = \"1\";\n bestOdd = row.best_odd_1;\n }\n\n let success = false;\n\n if (row.Host_SC > row.Guest_SC && prediction === \"1\") {\n success = true;\n } else if (\n row.Host_SC &&\n row.Guest_SC &&\n row.Host_SC === row.Guest_SC &&\n prediction === \"X\"\n ) {\n success = true;\n } else if (row.Host_SC < row.Guest_SC && prediction === \"2\") {\n success = true;\n }\n\n if (row.Host_SC > row.Guest_SC) {\n winner = \"1\";\n } else if (row.Host_SC < row.Guest_SC) {\n winner = \"2\";\n } else if (row.Host_SC && row.Guest_SC && row.Host_SC === row.Guest_SC) {\n winner = \"X\";\n }\n\n const tournament = tournaments[row.league_id];\n\n return {\n ...row,\n link: `https://www.forebet.com/en/football/matches/event-${row.id}`,\n result,\n prediction,\n winner,\n best_odd: bestOdd,\n success,\n best_odd: parseFloat(row.best_odd),\n best_odd_1: parseFloat(row.best_odd_1),\n best_odd_2: parseFloat(row.best_odd_2),\n best_odd_X: parseFloat(row.best_odd_X),\n };\n });\n\nconst getTournamentTeamsStats = async (tournamentId, date, { client } = {}) => {\n const resultsRepository = new ResultsRepository();\n\n let results = [];\n\n if (client) {\n const data = await client.get(`forbetKellyTeamsStats-${tournamentId}`);\n\n if (data) {\n results = JSON.parse(data);\n }\n }\n\n if (!results.length) {\n results = await resultsRepository.getResultsByTournament(tournamentId);\n\n if (client) {\n await client.set(\n `forbetKellyTeamsStats-${tournamentId}`,\n JSON.stringify(results),\n {\n EX: 60 * 60 * 24, // 24h\n }\n );\n }\n }\n\n const dateToUse = date ?? moment().format(\"YYYY-MM-DD\");\n\n const allTeams = results.reduce((acc, item) => {\n const { homeTeam, awayTeam } = item.data;\n\n return [...acc, homeTeam, awayTeam];\n }, []);\n\n const resultsByTeam = allTeams.reduce((acc, team) => {\n const teamResults = results\n .filter((r) => {\n const { date: resultDate } = r.data;\n\n return moment(resultDate, \"DD/MM/YYYY HH:mm\").isBefore(\n moment(dateToUse, \"YYYY-MM-DD\")\n );\n })\n .filter((r) => r.data.homeTeam === team || r.data.awayTeam === team);\n\n return {\n ...acc,\n [team]: teamResults,\n };\n }, {});\n\n const linksByTeam = results.reduce((acc, item) => {\n const { homeTeam, awayTeam, homeTeamLink, awayTeamLink } = item.data;\n\n return {\n ...acc,\n [homeTeam]: homeTeamLink,\n [awayTeam]: awayTeamLink,\n };\n }, {});\n\n const calculateDecreasingForm = (matchResults, performance) => {\n const last6Matches = matchResults.slice(0, 6);\n if (last6Matches.length < 6) return { rate: 0, trends: {} };\n\n // Check high overall win rate (over 60%)\n const hasHighWinRate = performance.winRate > 0.6;\n\n // Check decreasing points in last 6 matches\n const pointsTrend = last6Matches.map((match) =>\n match.result === \"W\" ? 3 : match.result === \"X\" ? 1 : 0\n );\n\n // Calculate points decline rate\n const pointsDeclineRate =\n pointsTrend.slice(0, -1).reduce((acc, points, index) => {\n const decline = Math.max(0, points - pointsTrend[index + 1]);\n return acc + decline / 3; // Normalize by max possible decline (3 points)\n }, 0) / 5; // Divide by number of comparisons\n\n // Check decreasing goals scored in last 6 matches\n const goalsScoredTrend = last6Matches.map((match) => {\n const [homeGoals, awayGoals] = match.score.split(\"-\").map(Number);\n return match.venue === \"Home\" ? homeGoals : awayGoals;\n });\n\n // Calculate goals scored decline rate\n const goalsDeclineRate =\n goalsScoredTrend.slice(0, -1).reduce((acc, goals, index) => {\n const decline = Math.max(0, goals - goalsScoredTrend[index + 1]);\n return acc + decline / Math.max(...goalsScoredTrend); // Normalize by max goals scored\n }, 0) / 5;\n\n // Calculate inconsistency rate\n const inconsistencyRate =\n last6Matches.slice(0, -1).reduce((acc, match, index) => {\n const currentMatch = match;\n const nextMatch = last6Matches[index + 1];\n\n if (currentMatch.result === \"W\") {\n const [homeGoals, awayGoals] = currentMatch.score\n .split(\"-\")\n .map(Number);\n const goalDifference = Math.abs(\n currentMatch.venue === \"Home\"\n ? homeGoals - awayGoals\n : awayGoals - homeGoals\n );\n\n // Higher weight for bigger goal difference followed by non-wins\n if (goalDifference >= 2 && nextMatch.result !== \"W\") {\n return acc + goalDifference / 5; // Normalize by assuming max reasonable difference of 5\n }\n }\n return acc;\n }, 0) / 5;\n\n // Calculate goals conceded increase rate\n const goalsConcededTrend = last6Matches.map((match) => {\n const [homeGoals, awayGoals] = match.score.split(\"-\").map(Number);\n return match.venue === \"Home\" ? awayGoals : homeGoals;\n });\n\n const goalsConcededRate =\n goalsConcededTrend.slice(0, -1).reduce((acc, goals, index) => {\n const increase = Math.max(0, goalsConcededTrend[index + 1] - goals);\n return acc + increase / Math.max(...goalsConcededTrend); // Normalize by max goals conceded\n }, 0) / 5;\n\n // Calculate overall decreasing form rate (0-100)\n const weights = {\n points: 0.35,\n goals: 0.25,\n inconsistency: 0.2,\n conceded: 0.2,\n };\n\n const decreasingFormRate = Math.min(\n 100,\n Math.round(\n (pointsDeclineRate * weights.points +\n goalsDeclineRate * weights.goals +\n inconsistencyRate * weights.inconsistency +\n goalsConcededRate * weights.conceded) *\n 100\n )\n );\n\n // Original boolean indicators\n const trends = {\n hasHighWinRate,\n isPointsDecreasing: pointsDeclineRate > 0.3,\n isGoalsDecreasing: goalsDeclineRate > 0.3,\n hasInconsistentResults: inconsistencyRate > 0.3,\n isGoalsConcededIncreasing: goalsConcededRate > 0.3,\n rates: {\n pointsTrend,\n goalsScoredTrend,\n goalsConcededTrend,\n pointsDeclineRate: Math.round(pointsDeclineRate * 100),\n goalsDeclineRate: Math.round(goalsDeclineRate * 100),\n inconsistencyRate: Math.round(inconsistencyRate * 100),\n goalsConcededRate: Math.round(goalsConcededRate * 100),\n },\n };\n\n return {\n rate: decreasingFormRate,\n trends,\n isDecreasingForm: hasHighWinRate && decreasingFormRate > 50,\n };\n };\n\n const dataByTeam = Object.keys(resultsByTeam)\n .reduce((acc, key) => {\n const teamResults = resultsByTeam[key];\n const resultsToConsider = teamResults.sort((a, b) =>\n eventsUtils.sortByDate(b.data, a.data)\n );\n // .slice(0, 10);\n\n const totalSpent = teamResults.length;\n let drawProfit = 0;\n const totalProfit = resultsToConsider.reduce((acc, item) => {\n const isHomeTeam = item.data.homeTeam === key;\n const result = eventsUtils.processResult(item.data.result);\n\n let profit = 0;\n if (isHomeTeam) {\n if (result === \"1\") {\n profit = parseFloat(item.data.odds1X2Home);\n }\n } else {\n if (result === \"2\") {\n profit = parseFloat(item.data.odds1X2Away);\n }\n }\n\n // Both teams get the draw profit\n if (result === \"X\") {\n drawProfit += parseFloat(item.data.odds1X2Draw);\n }\n\n return acc + profit;\n }, 0);\n const totalRoi = totalProfit - totalSpent;\n const drawProfitRoi = drawProfit - totalSpent;\n\n const results = {\n wins: resultsToConsider.filter(\n (r) =>\n (eventsUtils.processResult(r.data.result) === \"1\" &&\n r.data.homeTeam === key) ||\n (eventsUtils.processResult(r.data.result) === \"2\" &&\n r.data.awayTeam === key)\n ).length,\n draws: resultsToConsider.filter(\n (r) => eventsUtils.processResult(r.data.result) === \"X\"\n ).length,\n homeDraws: resultsToConsider.filter(\n (r) =>\n eventsUtils.processResult(r.data.result) === \"X\" &&\n r.data.homeTeam === key\n ).length,\n awayDraws: resultsToConsider.filter(\n (r) =>\n eventsUtils.processResult(r.data.result) === \"X\" &&\n r.data.awayTeam === key\n ).length,\n losses: resultsToConsider.filter(\n (r) =>\n (eventsUtils.processResult(r.data.result) === \"1\" &&\n r.data.awayTeam === key) ||\n (eventsUtils.processResult(r.data.result) === \"2\" &&\n r.data.homeTeam === key)\n ).length,\n homeWins: resultsToConsider.filter(\n (r) =>\n eventsUtils.processResult(r.data.result) === \"1\" &&\n r.data.homeTeam === key\n ).length,\n awayWins: resultsToConsider.filter(\n (r) =>\n eventsUtils.processResult(r.data.result) === \"2\" &&\n r.data.awayTeam === key\n ).length,\n cleanSheets: resultsToConsider.filter(\n (r) =>\n (r.data.homeTeam === key && awayTeamGoals(r.data.result) === 0) ||\n (r.data.awayTeam === key && homeTeamGoals(r.data.result) === 0)\n ).length,\n failedToScore: resultsToConsider.filter(\n (r) =>\n (r.data.homeTeam === key && homeTeamGoals(r.data.result) === 0) ||\n (r.data.awayTeam === key && awayTeamGoals(r.data.result) === 0)\n ).length,\n };\n\n const goalsScored = resultsToConsider.reduce((acc, item) => {\n return (\n acc +\n (item.data.homeTeam === key\n ? homeTeamGoals(item.data.result)\n : awayTeamGoals(item.data.result))\n );\n }, 0);\n const goalsConceded = resultsToConsider.reduce((acc, item) => {\n return (\n acc +\n (item.data.homeTeam === key\n ? awayTeamGoals(item.data.result)\n : homeTeamGoals(item.data.result))\n );\n }, 0);\n\n const averageOdds = {\n home:\n resultsToConsider.reduce((acc, item) => {\n return (\n acc +\n (item.data.homeTeam === key\n ? parseFloat(item.data.odds1X2Home)\n : 0)\n );\n }, 0) /\n resultsToConsider.filter((r) => r.data.homeTeam === key).length,\n draw:\n resultsToConsider.reduce((acc, item) => {\n return acc + parseFloat(item.data.odds1X2Draw);\n }, 0) / resultsToConsider.length,\n away:\n resultsToConsider.reduce((acc, item) => {\n return (\n acc +\n (item.data.awayTeam === key\n ? parseFloat(item.data.odds1X2Away)\n : 0)\n );\n }, 0) /\n resultsToConsider.filter((r) => r.data.awayTeam === key).length,\n over:\n resultsToConsider.reduce((acc, item) => {\n return acc + parseFloat(item.data.oddsOver);\n }, 0) / resultsToConsider.length,\n under:\n resultsToConsider.reduce((acc, item) => {\n return acc + parseFloat(item.data.oddsUnder);\n }, 0) / resultsToConsider.length,\n bttsYes:\n resultsToConsider.reduce((acc, item) => {\n return acc + parseFloat(item.data.oddsBTTSYes);\n }, 0) / resultsToConsider.length,\n bttsNo:\n resultsToConsider.reduce((acc, item) => {\n return acc + parseFloat(item.data.oddsBTTSNo);\n }, 0) / resultsToConsider.length,\n };\n\n const bettingOdds = {\n averageOdds,\n impliedProbabilities: {\n home: averageOdds.home ? (1 / averageOdds.home).toFixed(2) : 1,\n draw: averageOdds.draw ? (1 / averageOdds.draw).toFixed(2) : 1,\n away: averageOdds.away ? (1 / averageOdds.away).toFixed(2) : 1,\n over: averageOdds.over ? (1 / averageOdds.over).toFixed(2) : 1,\n under: averageOdds.under ? (1 / averageOdds.under).toFixed(2) : 1,\n bttsYes: averageOdds.bttsYes\n ? (1 / averageOdds.bttsYes).toFixed(2)\n : 1,\n bttsNo: averageOdds.bttsNo ? (1 / averageOdds.bttsNo).toFixed(2) : 1,\n },\n };\n\n const teamStats = {\n teamName: key,\n link: `https://www.forebet.com${linksByTeam[key]}`,\n totalMatches: resultsToConsider.length,\n totalHomeMatches: resultsToConsider.filter(\n (r) => r.data.homeTeam === key\n ).length,\n results,\n goalsScored,\n goalsConceded,\n goalDifference: goalsScored - goalsConceded,\n points: results.wins * 3 + results.draws,\n financials: {\n totalSpent,\n drawProfit,\n drawProfitRoi,\n drawProfitRoiPercentage: eventsUtils.formatPercentage(\n (drawProfitRoi / totalSpent) * 100\n ),\n totalProfit,\n roi: parseFloat(totalRoi).toFixed(2),\n roiPercentage: eventsUtils.formatPercentage(\n (totalRoi / totalSpent) * 100\n ),\n },\n tournamentId,\n performance: {\n winRatePercentage: eventsUtils.formatPercentage(\n (results.wins / resultsToConsider.length) * 100\n ),\n winRate: results.wins / resultsToConsider.length,\n averageGoalsScored: (goalsScored / resultsToConsider.length).toFixed(\n 2\n ),\n averageGoalsConceded: (\n goalsConceded / resultsToConsider.length\n ).toFixed(2),\n pointsPerGame: (\n (results.wins * 3 + results.draws) /\n resultsToConsider.length\n ).toFixed(2),\n },\n matchResults: resultsToConsider.map((r) => ({\n id: r.data.id,\n date: r.data.date,\n opponent: r.data.homeTeam === key ? r.data.awayTeam : r.data.homeTeam,\n result:\n eventsUtils.processResult(r.data.result) === \"X\"\n ? \"X\"\n : (r.data.homeTeam === key &&\n eventsUtils.processResult(r.data.result) === \"1\") ||\n (r.data.awayTeam === key &&\n eventsUtils.processResult(r.data.result) === \"2\")\n ? \"W\"\n : \"L\",\n score: r.data.result,\n venue: r.data.homeTeam === key ? \"Home\" : \"Away\",\n })),\n bettingOdds,\n };\n\n // Calculate decreasing form\n teamStats.decreasingForm = calculateDecreasingForm(\n teamStats.matchResults,\n teamStats.performance\n );\n\n return [...acc, teamStats];\n }, [])\n .sort((a, b) => b.financials.roi - a.financials.roi);\n\n const allResults = Object.values(resultsByTeam).flat();\n\n const totals = {\n goalsScored: allResults.reduce((acc, item) => {\n return (\n acc + homeTeamGoals(item.data.result) + awayTeamGoals(item.data.result)\n );\n }, 0),\n pointsPerGame:\n allResults.reduce((acc, item) => {\n const result = eventsUtils.processResult(item.data.result);\n\n return (\n acc + (result === \"1\" || result === \"2\" ? 3 : result === \"X\" ? 1 : 0)\n );\n }, 0) / allResults.length,\n totalGames: allResults.length,\n homeWins: allResults.filter(\n (r) => eventsUtils.processResult(r.data.result) === \"1\"\n ).length,\n awayWins: allResults.filter(\n (r) => eventsUtils.processResult(r.data.result) === \"2\"\n ).length,\n draws: allResults.filter(\n (r) => eventsUtils.processResult(r.data.result) === \"X\"\n ).length,\n cleanSheets: allResults.filter(\n (r) =>\n homeTeamGoals(r.data.result) === 0 || awayTeamGoals(r.data.result) === 0\n ).length,\n // odds: {\n // home: 2.2,\n // draw: 3.3,\n // away: 3.5,\n // over: 1.9,\n // under: 1.9,\n // bttsYes: 1.85,\n // bttsNo: 1.85,\n // },\n };\n\n return { dataByTeam, totals };\n};\n\nconst mostValuableStrategy = async (\n events,\n tournaments,\n touramentsActive,\n date,\n { client } = {}\n) => {\n const tournamentsIds = getTournaments(tournaments, touramentsActive).map(\n (t) => t.id\n );\n\n let dataByTeam = {};\n\n for (const tournamentId of tournamentsIds) {\n const { dataByTeam: dataByTeamForTournament } =\n await getTournamentTeamsStats(tournamentId, date, { client });\n\n dataByTeam = {\n ...dataByTeam,\n ...dataByTeamForTournament.reduce((acc, item) => {\n const { teamName } = item;\n\n return {\n ...acc,\n [teamName]: item,\n };\n }, {}),\n };\n }\n\n const enrichedEvents = enrichEvents(events, tournaments).map((r) => {\n let success = false;\n let prediction = \"X\";\n let bestOdd = r.best_odd_X;\n\n const highestOdd = Math.max(r.best_odd_1, r.best_odd_X, r.best_odd_2);\n\n prediction =\n r.best_odd_1 === highestOdd\n ? \"1\"\n : r.best_odd_2 === highestOdd\n ? \"2\"\n : \"X\";\n bestOdd =\n r.best_odd_1 === highestOdd\n ? r.best_odd_1\n : r.best_odd_2 === highestOdd\n ? r.best_odd_2\n : r.best_odd_X;\n\n if (r.winner === prediction) {\n success = true;\n }\n\n return {\n ...r,\n success,\n prediction,\n best_odd: bestOdd,\n homeTeamStats: dataByTeam[e.HOST_NAME],\n awayTeamStats: dataByTeam[e.GUEST_NAME],\n };\n });\n\n const filterEventsForHomeWinStrategy = (event) => {\n const homeTeam = event.homeTeamStats;\n const awayTeam = event.awayTeamStats;\n\n if (!homeTeam || !awayTeam) return false;\n\n const homeLastWins = homeTeam.matchResults\n .slice(homeTeam.matchResults.length - 5, homeTeam.matchResults.length)\n .filter((r) => r.result === \"W\").length;\n const awayLosses = awayTeam.matchResults\n .slice(awayTeam.matchResults.length - 5, awayTeam.matchResults.length)\n .filter((r) => r.result === \"L\").length;\n const awayDraws = awayTeam.matchResults\n .slice(awayTeam.matchResults.length - 5, awayTeam.matchResults.length)\n .filter((r) => r.result === \"X\").length;\n const awayWins = awayTeam.matchResults\n .slice(awayTeam.matchResults.length - 5, awayTeam.matchResults.length)\n .filter((r) => r.result === \"W\").length;\n const awayGamesWithoutWin = awayLosses + awayDraws;\n\n // If all conditions are met, include this event\n return homeLastWins > 2 && awayGamesWithoutWin >= 2;\n };\n\n const filterEventsForDrawStrategy = (event) => {\n const homeTeam = event.homeTeamStats;\n const awayTeam = event.awayTeamStats;\n\n if (!homeTeam || !awayTeam) return false;\n\n if (event.best_odd < 1.15) return false;\n // if (event.best_odd_1 > 1.8) return false;\n\n const homeLastWins = homeTeam.matchResults\n .slice(homeTeam.matchResults.length - 5, homeTeam.matchResults.length)\n .filter((r) => r.result === \"W\").length;\n const awayLosses = awayTeam.matchResults\n .slice(awayTeam.matchResults.length - 5, awayTeam.matchResults.length)\n .filter((r) => r.result === \"L\").length;\n const awayDraws = awayTeam.matchResults\n .slice(awayTeam.matchResults.length - 5, awayTeam.matchResults.length)\n .filter((r) => r.result === \"X\").length;\n const awayWins = awayTeam.matchResults\n .slice(awayTeam.matchResults.length - 5, awayTeam.matchResults.length)\n .filter((r) => r.result === \"W\").length;\n\n const sameWins = homeLastWins > 3 && awayWins > 3;\n const sameLosses = homeLastWins < 3 && awayWins < 3;\n\n // If all conditions are met, include this event\n return sameWins || sameLosses;\n };\n\n const filteredEvents = enrichedEvents.filter((e) => {\n const isEventOnActiveTournament = touramentsActive.includes(e.league_id);\n\n return isEventOnActiveTournament && filterEventsForHomeWinStrategy(e);\n });\n\n const sortedEvents = filterEventsOnSameTime(filteredEvents)\n .sort((a, b) => a.best_odd - b.best_odd)\n .slice(0, 5)\n .sort(\n (a, b) =>\n moment(a.DATE_BAH, \"YYYY-MM-DD HH:mm:ss\").valueOf() -\n moment(b.DATE_BAH, \"YYYY-MM-DD HH:mm:ss\").valueOf()\n );\n\n return sortedEvents;\n};\n\nconst mostValuableOddsStrategy = async (\n events,\n tournaments,\n touramentsActive,\n date,\n { client } = {}\n) => {\n const enrichedEvents = enrichEvents(events, tournaments).map((r) => {\n let success = false;\n\n if (r.winner === prediction) {\n success = true;\n }\n\n return {\n ...r,\n success,\n prediction,\n best_odd: bestOdd,\n };\n });\n\n const filteredEvents = enrichedEvents.filter((e) => {\n if (e.best_odd < 1.6) return false;\n if (e.best_odd > 3.5) return false;\n\n const isEventOnActiveTournament = touramentsActive.includes(e.league_id);\n\n return isEventOnActiveTournament;\n });\n\n const sortedEvents = filterEventsOnSameTime(filteredEvents)\n .sort((a, b) => b.best_odd - a.best_odd)\n .slice(0, 2)\n .sort(\n (a, b) =>\n moment(a.DATE_BAH, \"YYYY-MM-DD HH:mm:ss\").valueOf() -\n moment(b.DATE_BAH, \"YYYY-MM-DD HH:mm:ss\").valueOf()\n );\n\n return sortedEvents;\n};\n\nconst romaniaOnlyStrategy = async (\n events,\n tournaments,\n touramentsActive,\n date,\n { client } = {}\n) => {\n const tournamentsIds = getTournaments(tournaments, touramentsActive).map(\n (t) => t.id\n );\n\n let dataByTeam = {};\n let totals = {};\n\n for (const tournamentId of tournamentsIds) {\n const { dataByTeam: dataByTeamForTournament, totals: tournamentTotals } =\n await getTournamentTeamsStats(tournamentId, date, { client });\n\n dataByTeam = {\n ...dataByTeam,\n ...dataByTeamForTournament.reduce((acc, item) => {\n const { teamName } = item;\n\n return {\n ...acc,\n [teamName]: item,\n };\n }, {}),\n };\n\n totals = {\n ...totals,\n [tournamentId]: tournamentTotals,\n };\n }\n\n const enrichedEvents = enrichEvents(events, tournaments).map((r) => {\n let success = false;\n let prediction = \"X\";\n let bestOdd = r.best_odd_X;\n\n const tornamentTotals = totals[r.league_id] ?? {};\n const homeTeamStats = dataByTeam[r.HOST_NAME];\n const awayTeamStats = dataByTeam[r.GUEST_NAME];\n const drawRateOnTournament =\n tornamentTotals.draws / tornamentTotals.totalGames;\n\n if (r.winner === prediction) {\n success = true;\n }\n\n function predictDraw(teamA, teamB, tournament) {\n if (!teamA || !teamB) return 0;\n\n // Helper function to calculate draw rate\n const calculateDrawRate = (team) =>\n team.results.draws / team.totalMatches;\n\n // Calculate factors for prediction\n const drawRateDifference = Math.abs(\n calculateDrawRate(teamA) - calculateDrawRate(teamB)\n );\n const goalDifference = Math.abs(\n teamA.performance.averageGoalsScored -\n teamB.performance.averageGoalsScored\n );\n const formDifference = Math.abs(\n teamA.performance.winRate - teamB.performance.winRate\n );\n const tournamentDrawRate = tournament.draws / tournament.totalGames;\n\n // Assign weights to different factors (can be adjusted based on importance)\n const weights = {\n drawRateDifference: 0.3,\n goalDifference: 0.25,\n formDifference: 0.25,\n tournamentDrawRate: 0.2,\n };\n\n // Calculate draw likelihood\n let drawLikelihood = 0;\n drawLikelihood += (1 - drawRateDifference) * weights.drawRateDifference;\n drawLikelihood += (1 - goalDifference / 3) * weights.goalDifference; // Assuming max goal difference is 3\n drawLikelihood += (1 - formDifference) * weights.formDifference;\n drawLikelihood += tournamentDrawRate * weights.tournamentDrawRate;\n\n // Normalize the result to be between 0 and 1\n drawLikelihood = Math.max(0, Math.min(1, drawLikelihood));\n\n return drawLikelihood;\n }\n const drawProbability = predictDraw(\n homeTeamStats,\n awayTeamStats,\n tornamentTotals\n );\n\n return {\n ...r,\n success,\n prediction,\n best_odd: bestOdd,\n homeTeamStats,\n awayTeamStats,\n drawRateOnTournament,\n tornamentTotals,\n drawProbability,\n };\n });\n\n const filteredEvents = enrichedEvents.filter((e) => {\n // if (e.best_odd < 1.6) return false;\n // if (e.best_odd > 3.5) return false;\n\n if (!e.best_odd) return false;\n\n // const minOdd = Math.min(e.best_odd_1, e.best_odd_2);\n\n const isDrawRateHigh = e.drawRateOnTournament > 0.35;\n\n // const isRomaniaLeague = e.league_id === \"40\";\n const isEventOnActiveTournament =\n touramentsActive.includes(e.league_id) && e.drawProbability > 0.75;\n\n return isEventOnActiveTournament;\n });\n\n const sortedEvents = filterEventsOnSameTime(filteredEvents)\n .sort((a, b) => a.drawProbability - b.drawProbability)\n .slice(0, 3)\n .sort(\n (a, b) =>\n moment(a.DATE_BAH, \"YYYY-MM-DD HH:mm:ss\").valueOf() -\n moment(b.DATE_BAH, \"YYYY-MM-DD HH:mm:ss\").valueOf()\n );\n\n return sortedEvents;\n};\n\nconst cleanSheetsLeaguesStrategy = async (\n events,\n tournaments,\n touramentsActive,\n date,\n { client } = {}\n) => {\n const tournamentsIds = getTournaments(tournaments, touramentsActive).map(\n (t) => t.id\n );\n\n let dataByTeam = {};\n let totals = {};\n\n for (const tournamentId of tournamentsIds) {\n const { dataByTeam: dataByTeamForTournament, totals: tournamentTotals } =\n await getTournamentTeamsStats(tournamentId, date, { client });\n\n dataByTeam = {\n ...dataByTeam,\n ...dataByTeamForTournament.reduce((acc, item) => {\n const { teamName } = item;\n\n return {\n ...acc,\n [teamName]: item,\n };\n }, {}),\n };\n\n totals = {\n ...totals,\n [tournamentId]: tournamentTotals,\n };\n }\n\n const enrichedEvents = enrichEvents(events, tournaments).map((r) => {\n let success = false;\n let bestOdd = r.best_odd_X;\n const tornamentTotals = totals[r.league_id] ?? {};\n const homeTeamStats = dataByTeam[r.HOST_NAME];\n const awayTeamStats = dataByTeam[r.GUEST_NAME];\n let prediction = \"X\";\n\n // const highestPointsPerGame = Math.max(\n // parseFloat(homeTeamStats?.performance?.pointsPerGame),\n // parseFloat(awayTeamStats?.performance?.pointsPerGame)\n // );\n\n const highestOdd = Math.max(r.best_odd_1, r.best_odd_X, r.best_odd_2);\n // const minOdd = Math.min(r.best_odd_1, r.best_odd_X, r.best_odd_2);\n\n if (highestOdd === r.best_odd_1) {\n prediction = \"1\";\n bestOdd = r.best_odd_1;\n } else if (highestOdd === r.best_odd_2) {\n prediction = \"2\";\n bestOdd = r.best_odd_2;\n }\n\n success = r.winner === prediction;\n\n return {\n ...r,\n success,\n prediction,\n best_odd: bestOdd,\n homeTeamStats,\n awayTeamStats,\n tornamentTotals,\n };\n });\n\n const filteredEvents = enrichedEvents.filter((e) => {\n // if (e.best_odd < 2) return false;\n // if (e.best_odd > 5) return false;\n\n // if (e.prediction === \"NO\") return false;\n // if (\n // e.result === \"-\" &&\n // moment(e.DATE_BAH, \"YYYY-MM-DD HH:mm:ss\").valueOf() < moment().valueOf()\n // )\n // return false;\n\n // show only failed\n // if (e.success === true) return false;\n\n // const highestOdd = Math.max(e.best_odd_1, e.best_odd_X, e.best_odd_2);\n\n // if (e.homeTeamStats?.performance?.winRate > 0.4) return false;\n // if (parseFloat(e.homeTeamStats?.performance?.averageGoalsScored) > 0.7)\n // return false;\n\n // if (e.homeTeamStats?.performance?.winRate < 0.15) return false;\n // if (e.awayTeamStats?.performance?.winRate < 0.15) return false;\n\n // if (e.homeTeamStats?.results?.failedToScore < 4) return false;\n // if (e.awayTeamStats?.results?.failedToScore < 4) return false;\n\n // if (parseFloat(e.homeTeamStats?.performance?.averageGoalsScored) > 1.7)\n // return false;\n // if (parseFloat(e.awayTeamStats?.performance?.averageGoalsScored) > 1.7)\n // return false;\n\n const homeWinPercentage =\n e.homeTeamStats?.results?.homeWins / e.homeTeamStats?.totalHomeMatches;\n const homeDrawPercentage =\n e.homeTeamStats?.results?.homeDraws / e.homeTeamStats?.totalHomeMatches;\n\n // if (homeWinPercentage < 0.4 || homeDrawPercentage < 0.4) return false;\n\n if (!e.best_odd) return false;\n\n const isEventOnActiveTournament = touramentsActive.includes(e.league_id);\n\n return isEventOnActiveTournament;\n });\n\n const sortedEvents = filteredEvents.sort((a, b) => b.best_odd - a.best_odd);\n // .slice(0, 2)\n // .sort(\n // (a, b) =>\n // moment(a.DATE_BAH, \"YYYY-MM-DD HH:mm:ss\").valueOf() -\n // moment(b.DATE_BAH, \"YYYY-MM-DD HH:mm:ss\").valueOf()\n // );\n\n return sortedEvents;\n};\n\nexport {\n parseTournamentName,\n getTournaments,\n enrichEvents,\n getTournamentTeamsStats,\n mostValuableStrategy,\n mostValuableOddsStrategy,\n romaniaOnlyStrategy,\n cleanSheetsLeaguesStrategy,\n};\n",["D",1734432334749],161,{"_134":135,"_136":137},"latestEvaluation","nmsilva/strategiesHelpers",[198,202,206,210,214,218,222,226,230,234],{"_120":199,"_122":193,"_200":201},["D",1734432334749],"n","1",{"_120":203,"_122":204,"_200":205},["D",1734432323523],160,"2",{"_120":207,"_122":208,"_200":209},["D",1734431954642],159,"3",{"_120":211,"_122":212,"_200":213},["D",1734431922403],158,"4",{"_120":215,"_122":216,"_200":217},["D",1734431496274],157,"5",{"_120":219,"_122":220,"_200":221},["D",1734431324447],156,"6",{"_120":223,"_122":224,"_200":225},["D",1734431294571],155,"7",{"_120":227,"_122":228,"_200":229},["D",1734431281860],154,"8",{"_120":231,"_122":232,"_200":233},["D",1734430851633],153,"9",{"_120":235,"_122":236,"_200":237},["D",1734430647687],152,"10","valname","page",{"_117":115,"_102":103,"_134":135,"_12":100,"_122":123,"_104":105,"_139":-5,"_118":119,"_109":110,"_116":27,"_141":142},"routes/_app","actionData","errors"]