Logic update
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leagues-backup.csv
Normal file
55
leagues-backup.csv
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@ -0,0 +1,55 @@
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leagueName;country;clubs;goalsPerMatch;avgMarketValueInMln;totalMarketValueInMln;teamsInChampionsLeague;teamsInEuropaLeague;teamsInConferenceLeague;famousPlayers
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Premier League;England;20;2.78;453.95;9080.0;4;2;1;35
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LaLiga;Spain;20;2.45;246.89;4940.0;4;2;1;21
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Serie A;Italy;20;3.05;245.69;4910.0;4;2;1;17
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Bundesliga;Germany;18;3.04;233.67;4210.0;4;2;1;15
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Ligue 1;France;20;2.83;185.93;3720.0;3;2;1;10
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Liga Bwin;Portugal;18;2.66;64.83;1170.0;3;1;2;0
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Eredivisie;Netherlands;18;2.97;51.78;932.08;2;1;2;0
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Bundesliga;Austria;12;2.95;27.67;332.0;2;1;2;1
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Premiership;Scotland;12;2.52;22.98;275.78;2;1;2;0
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Premier Liga;Russia;16;2.69;60.99;975.8;2;1;2;0
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Premier Liga;Ukraine;16;2.67;28.07;449.18;2;1;2;0
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Super liga Srbije;Serbia;16;2.74;11.60;185.58;1;0;3;0
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Jupiler Pro League;Belgium;18;3.08;46.38;834.9;2;1;2;0
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Super League;Switzerland;10;3.30;28.59;285.93;1;0;3;0
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Protathlima Cyta;Cyprus;12;2.23;11.00;131.95;1;1;2;0
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1.HNL;Croatia;10;2.95;25.51;255.11;1;0;3;0
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Fortuna Liga;Czech Republic;16;3.08;15.60;249.63;2;1;2;0
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Super Lig;Turkey;20;2.63;46.27;925.45;2;1;2;0
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Super League 1;Greece;14;2.60;25.19;352.68;1;0;3;0
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Superligaen;Denmark;12;2.74;20.14;241.68;2;1;2;0
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Eliteserien;Norway;16;3.04;8.46;135.43;1;0;3;0
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Ligat ha'Al;Israel;14;2.38;8.88;124.38;1;0;3;0
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Allsvenskan;Sweden;16;2.63;11.33;181.29;1;0;3;0
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efbet Liga;Bulgaria;14;2.41;8.50;118.94;1;0;3;0
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Premyer Liqa;Azerbaijan;8;2.69;6.36;50.91;1;0;3;0
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Liga 1;Romania;16;2.12;12.31;196.89;1;0;3;0
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Ekstraklasa;Poland;18;2.76;14.16;254.90;1;0;3;0
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NB I.;Hungary;12;3.19;11.11;133.38;1;0;3;0
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Fortuna Liga;Slovakia;12;2.74;6.75;81.04;1;0;3;0
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Premier Liga;Kazakhstan;14;2.57;7.92;110.85;1;0;3;0
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Prva Liga;Slovenia;10;2.45;5.41;54.12;1;0;3;0
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Vysheyshaya Liga;Belarus;16;2.71;4.92;78.73;1;0;3;0
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Divizia Nationala;Moldova;8;3.26;4.96;39.67;1;0;3;0
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A Lyga;Lithuania;10;2.74;2.69;26.88;1;0;3;0
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Premijer Liga;Bosnia-Herzegovina;12;2.27;3.78;45.41;1;0;3;0
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Veikkausliiga;Finland;12;2.35;3.25;38.99;1;0;3;0
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BGL Ligue;Luxembourg;16;3.38;1.69;27.06;1;0;3;0
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Virsliga;Latvia;9;3.02;3.09;27.80;1;0;3;0
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BKT Superliga e Kosovës;Kosovo;10;2.11;2.34;22.43;1;0;2;0
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Premier Division;Republic of Ireland;10;2.54;1.35;13.46;1;0;3;0
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Premiership;Northern Ireland;12;2.85;1.96;23.50;1;0;3;0
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Kategoria Superiore;Albania;10;2.52;4.15;41.50;1;0;3;0
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Bardzragujn khumb;Armenia;10;2.45;4.08;40.79;1;0;3;0
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Betri-deildin;Faroe Islands;10;3.63;1.13;11.29;1;0;2;0
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Premium Liiga;Estonia;10;3.29;2.48;24.81;1;0;2;0
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Premier League;Malta;12;2.87;2.97;35.65;1;0;3;0
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Crystalbet Erovnuli Liga;Georgia;10;2.53;3.70;37.00;1;0;3;0
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Prva liga;North Macedonia;12;2.41;2.71;32.57;1;0;3;0
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Cymru Premier;Wales;12;2.78;1.13;13.57;1;0;3;0
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Gibraltar National League;Gibraltar;11;3.68;1.01;11.11;1;0;3;0
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Pepsi Max deild;Iceland;12;2.83;1.75;20.98;1;0;3;0
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1. CFL;Montenegro;10;2.46;2.69;26.90;1;0;3;0
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Primera Divisió;Andorra;8;2.80;1.38;11.05;1;0;2;0
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Camp. Sammarinese;San Marino;15;2.67;0.33;4.99;1;0;2;0
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110
leagues.csv
110
leagues.csv
@ -1,55 +1,55 @@
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leagueName;country;clubs;goalsPerMatch;avgMarketValueInMln;totalMarketValueInMln;teamsInChampionsLeague;teamsInEuropaLeague;teamsInConferenceLeague;famousPlayers
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Premier League;England;20;2.78;453.95;9080.0;4;2;1;35
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LaLiga;Spain;20;2.45;246.89;4940.0;4;2;1;21
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Serie A;Italy;20;3.05;245.69;4910.0;4;2;1;17
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Bundesliga;Germany;18;3.04;233.67;4210.0;4;2;1;15
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Ligue 1;France;20;2.83;185.93;3720.0;3;2;1;10
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Liga Bwin;Portugal;18;2.66;64.83;1170.0;3;1;2;0
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Eredivisie;Netherlands;18;2.97;51.78;932.08;2;1;2;0
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Bundesliga;Austria;12;2.95;27.67;332.0;2;1;2;1
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Premiership;Scotland;12;2.52;22.98;275.78;2;1;2;0
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Premier Liga;Russia;16;2.69;60.99;975.8;2;1;2;0
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Premier Liga;Ukraine;16;2.67;28.07;449.18;2;1;2;0
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Super liga Srbije;Serbia;16;2.74;11.60;185.58;1;0;3;0
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Jupiler Pro League;Belgium;18;3.08;46.38;834.9;2;1;2;0
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Super League;Switzerland;10;3.30;28.59;285.93;1;0;3;0
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Protathlima Cyta;Cyprus;12;2.23;11.00;131.95;1;1;2;0
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1.HNL;Croatia;10;2.95;25.51;255.11;1;0;3;0
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Fortuna Liga;Czech Republic;16;3.08;15.60;249.63;2;1;2;0
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Super Lig;Turkey;20;2.63;46.27;925.45;2;1;2;0
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Super League 1;Greece;14;2.60;25.19;352.68;1;0;3;0
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Superligaen;Denmark;12;2.74;20.14;241.68;2;1;2;0
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Eliteserien;Norway;16;3.04;8.46;135.43;1;0;3;0
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Ligat ha'Al;Israel;14;2.38;8.88;124.38;1;0;3;0
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Allsvenskan;Sweden;16;2.63;11.33;181.29;1;0;3;0
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efbet Liga;Bulgaria;14;2.41;8.50;118.94;1;0;3;0
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Premyer Liqa;Azerbaijan;8;2.69;6.36;50.91;1;0;3;0
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Liga 1;Romania;16;2.12;12.31;196.89;1;0;3;0
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Ekstraklasa;Poland;18;2.76;14.16;254.90;1;0;3;0
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NB I.;Hungary;12;3.19;11.11;133.38;1;0;3;0
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Fortuna Liga;Slovakia;12;2.74;6.75;81.04;1;0;3;0
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Premier Liga;Kazakhstan;14;2.57;7.92;110.85;1;0;3;0
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Prva Liga;Slovenia;10;2.45;5.41;54.12;1;0;3;0
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Vysheyshaya Liga;Belarus;16;2.71;4.92;78.73;1;0;3;0
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Divizia Nationala;Moldova;8;3.26;4.96;39.67;1;0;3;0
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A Lyga;Lithuania;10;2.74;2.69;26.88;1;0;3;0
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Premijer Liga;Bosnia-Herzegovina;12;2.27;3.78;45.41;1;0;3;0
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Veikkausliiga;Finland;12;2.35;3.25;38.99;1;0;3;0
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BGL Ligue;Luxembourg;16;3.38;1.69;27.06;1;0;3;0
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Virsliga;Latvia;9;3.02;3.09;27.80;1;0;3;0
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BKT Superliga e Kosovës;Kosovo;10;2.11;2.34;22.43;1;0;2;0
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Premier Division;Republic of Ireland;10;2.54;1.35;13.46;1;0;3;0
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Premiership;Northern Ireland;12;2.85;1.96;23.50;1;0;3;0
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Kategoria Superiore;Albania;10;2.52;4.15;41.50;1;0;3;0
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Bardzragujn khumb;Armenia;10;2.45;4.08;40.79;1;0;3;0
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Betri-deildin;Faroe Islands;10;3.63;1.13;11.29;1;0;2;0
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Premium Liiga;Estonia;10;3.29;2.48;24.81;1;0;2;0
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Premier League;Malta;12;2.87;2.97;35.65;1;0;3;0
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Crystalbet Erovnuli Liga;Georgia;10;2.53;3.70;37.00;1;0;3;0
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Prva liga;North Macedonia;12;2.41;2.71;32.57;1;0;3;0
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Cymru Premier;Wales;12;2.78;1.13;13.57;1;0;3;0
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Gibraltar National League;Gibraltar;11;3.68;1.01;11.11;1;0;3;0
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Pepsi Max deild;Iceland;12;2.83;1.75;20.98;1;0;3;0
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1. CFL;Montenegro;10;2.46;2.69;26.90;1;0;3;0
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Primera Divisió;Andorra;8;2.80;1.38;11.05;1;0;2;0
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Camp. Sammarinese;San Marino;15;2.67;0.33;4.99;1;0;2;0
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leagueName;country;clubs;goalsPerMatch;avgMarketValueInMln;teamsInChampionsLeague;teamsInEuropaLeague;teamsInConferenceLeague;famousPlayers
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Premier League;England;20;2.78;453.95;4;2;1;35
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LaLiga;Spain;20;2.45;246.89;4;2;1;21
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Serie A;Italy;20;3.05;245.69;4;2;1;17
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Bundesliga;Germany;18;3.04;233.67;4;2;1;15
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Ligue 1;France;20;2.83;185.93;3;2;1;10
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Liga Bwin;Portugal;18;2.66;64.83;3;1;2;0
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Eredivisie;Netherlands;18;2.97;51.78;2;1;2;0
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Bundesliga;Austria;12;2.95;27.67;2;1;2;1
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Premiership;Scotland;12;2.52;22.98;2;1;2;0
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Premier Liga;Russia;16;2.69;60.99;2;1;2;0
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Premier Liga;Ukraine;16;2.67;28.07;2;1;2;0
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Super liga Srbije;Serbia;16;2.74;11.60;1;0;3;0
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Jupiler Pro League;Belgium;18;3.08;46.38;2;1;2;0
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Super League;Switzerland;10;3.30;28.59;1;0;3;0
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Protathlima Cyta;Cyprus;12;2.23;11.00;1;1;2;0
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1.HNL;Croatia;10;2.95;25.51;1;0;3;0
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Fortuna Liga;Czech Republic;16;3.08;15.60;2;1;2;0
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Super Lig;Turkey;20;2.63;46.27;2;1;2;0
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Super League 1;Greece;14;2.60;25.19;1;0;3;0
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Superligaen;Denmark;12;2.74;20.14;2;1;2;0
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Eliteserien;Norway;16;3.04;8.46;1;0;3;0
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Ligat ha'Al;Israel;14;2.38;8.88;1;0;3;0
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Allsvenskan;Sweden;16;2.63;11.33;1;0;3;0
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efbet Liga;Bulgaria;14;2.41;8.50;1;0;3;0
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Premyer Liqa;Azerbaijan;8;2.69;6.36;1;0;3;0
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Liga 1;Romania;16;2.12;12.31;1;0;3;0
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Ekstraklasa;Poland;18;2.76;14.16;1;0;3;0
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NB I.;Hungary;12;3.19;11.11;1;0;3;0
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Fortuna Liga;Slovakia;12;2.74;6.75;1;0;3;0
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Premier Liga;Kazakhstan;14;2.57;7.92;1;0;3;0
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Prva Liga;Slovenia;10;2.45;5.41;1;0;3;0
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Vysheyshaya Liga;Belarus;16;2.71;4.92;1;0;3;0
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Divizia Nationala;Moldova;8;3.26;4.96;1;0;3;0
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A Lyga;Lithuania;10;2.74;2.69;1;0;3;0
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Premijer Liga;Bosnia-Herzegovina;12;2.27;3.78;1;0;3;0
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Veikkausliiga;Finland;12;2.35;3.25;1;0;3;0
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BGL Ligue;Luxembourg;16;3.38;1.69;1;0;3;0
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Virsliga;Latvia;9;3.02;3.09;1;0;3;0
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BKT Superliga e Kosovës;Kosovo;10;2.11;2.34;1;0;2;0
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Premier Division;Republic of Ireland;10;2.54;1.35;1;0;3;0
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Premiership;Northern Ireland;12;2.85;1.96;1;0;3;0
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Kategoria Superiore;Albania;10;2.52;4.15;1;0;3;0
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Bardzragujn khumb;Armenia;10;2.45;4.08;1;0;3;0
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Betri-deildin;Faroe Islands;10;3.63;1.13;1;0;2;0
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Premium Liiga;Estonia;10;3.29;2.48;1;0;2;0
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Premier League;Malta;12;2.87;2.97;1;0;3;0
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Crystalbet Erovnuli Liga;Georgia;10;2.53;3.70;1;0;3;0
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Prva liga;North Macedonia;12;2.41;2.71;1;0;3;0
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Cymru Premier;Wales;12;2.78;1.13;1;0;3;0
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Gibraltar National League;Gibraltar;11;3.68;1.01;1;0;3;0
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Pepsi Max deild;Iceland;12;2.83;1.75;1;0;3;0
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1. CFL;Montenegro;10;2.46;2.69;1;0;3;0
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Primera Divisió;Andorra;8;2.80;1.38;1;0;2;0
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Camp. Sammarinese;San Marino;15;2.67;0.33;1;0;2;0
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312
main.py
312
main.py
@ -6,188 +6,223 @@ from read_data import get_leagues_data
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# https://pythonhosted.org/scikit-fuzzy/auto_examples/plot_tipping_problem.html
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# Variables for universes
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unv_clubs = unv_goals = unv_avgValue = unv_totValue = unv_players = unv_teamsChL = unv_teamsEuL = unv_teamsCfL = unv_score = None
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unv_clubs = unv_goals = unv_avgValue = unv_players = unv_teamsChL = unv_teamsEuL = unv_teamsCfL = unv_score = None
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# Variables for fuzzy membership functions
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clubs_low = clubs_mid = clubs_hig = None
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goals_low = goals_mid = goals_hig = None
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avgValue_low = avgValue_mid = avgValue_hig = None
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totValue_low = totValue_mid = totValue_hig = None
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players_low = players_mid = players_hig = None
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teamsChL_low = teamsChL_mid = teamsChL_hig = None
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teamsEuL_low = teamsEuL_mid = teamsEuL_hig = None
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teamsCfL_low = teamsCfL_mid = teamsCfL_hig = None
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score_low = score_mid = score_hig = None
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clubs_few = clubs_some = clubs_several = clubs_many = None
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goals_few = goals_moderate = goals_many = None
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avgValue_vpoor = avgValue_poor = avgValue_mpoor = avgValue_moderate = avgValue_mrich = avgValue_rich = avgValue_vrich = None
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players_none = players_few = players_moderate = players_many = None
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teamsChL_min = teamsChL_mid = teamsChL_max = None
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teamsEuL_min = teamsEuL_mid = teamsEuL_max = None
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teamsCfL_min = teamsCfL_mid = teamsCfL_max = None
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score_tragic = score_bad = score_moderate = score_good = score_best = None
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# Activations of fuzzy membership functions
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clubs_low_level = clubs_mid_level = clubs_hig_level = None
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goals_low_level = goals_mid_level = goals_hig_level = None
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avgValue_low_level = avgValue_mid_level = avgValue_hig_level = None
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totValue_low_level = totValue_mid_level = totValue_hig_level = None
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players_low_level = players_mid_level = players_hig_level = None
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teamsChL_low_level = teamsChL_mid_level = teamsChL_hig_level = None
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teamsEuL_low_level = teamsEuL_mid_level = teamsEuL_hig_level = None
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teamsCfL_low_level = teamsCfL_mid_level = teamsCfL_hig_level = None
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clubs_few_level = clubs_some_level = clubs_several_level = clubs_many_level = None
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goals_few_level = goals_moderate_level = goals_many_level = None
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avgValue_vpoor_level = avgValue_poor_level = avgValue_mpoor_level = avgValue_moderate_level = avgValue_mrich_level = avgValue_rich_level = avgValue_vrich_level = None
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players_none_level = players_few_level = players_moderate_level = players_many_level = None
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teamsChL_min_level = teamsChL_mid_level = teamsChL_max_level = None
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teamsEuL_min_level = teamsEuL_mid_level = teamsEuL_max_level = None
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teamsCfL_min_level = teamsCfL_mid_level = teamsCfL_max_level = None
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def initFuzzyMembershipFunctions():
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global unv_clubs, unv_goals, unv_avgValue, unv_totValue, unv_players, unv_teamsChL, unv_teamsEuL, unv_teamsCfL, unv_score
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global clubs_low, clubs_mid, clubs_hig
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global goals_low, goals_mid, goals_hig
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global avgValue_low, avgValue_mid, avgValue_hig
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global totValue_low, totValue_mid, totValue_hig
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global players_low, players_mid, players_hig
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global teamsChL_low, teamsChL_mid, teamsChL_hig
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global teamsEuL_low, teamsEuL_mid, teamsEuL_hig
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global teamsCfL_low, teamsCfL_mid, teamsCfL_hig
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global score_low, score_mid, score_hig
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global unv_clubs, unv_goals, unv_avgValue, unv_players, unv_teamsChL, unv_teamsEuL, unv_teamsCfL, unv_score
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global clubs_few, clubs_some, clubs_several, clubs_many
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global goals_few, goals_moderate, goals_many
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global avgValue_vpoor, avgValue_poor, avgValue_mpoor, avgValue_moderate, avgValue_mrich, avgValue_rich, avgValue_vrich
|
||||
global players_none, players_few, players_moderate, players_many
|
||||
global teamsChL_min, teamsChL_mid, teamsChL_max
|
||||
global teamsEuL_min, teamsEuL_mid, teamsEuL_max
|
||||
global teamsCfL_min, teamsCfL_mid, teamsCfL_max
|
||||
global score_tragic, score_bad, score_moderate, score_good, score_best
|
||||
|
||||
# Universes for variables
|
||||
unv_clubs = np.arange(2, 31, 1)
|
||||
unv_goals = np.arange(2, 4, 0.01)
|
||||
unv_avgValue = np.arange(0.01, 500.0, 0.01)
|
||||
unv_totValue = np.arange(0.01, 10000.0, 0.01)
|
||||
unv_players = np.arange(0, 100, 1)
|
||||
unv_teamsChL = np.arange(0, 10, 1)
|
||||
unv_teamsEuL = np.arange(0, 10, 1)
|
||||
unv_teamsCfL = np.arange(0, 10, 1)
|
||||
unv_goals = np.arange(0.99, 5.01, 0.01)
|
||||
unv_avgValue = np.arange(0.01, 500.01, 0.01)
|
||||
unv_players = np.arange(0, 101, 1)
|
||||
unv_teamsChL = np.arange(0, 6, 1)
|
||||
unv_teamsEuL = np.arange(0, 6, 1)
|
||||
unv_teamsCfL = np.arange(0, 6, 1)
|
||||
# Result score universum
|
||||
unv_score = np.arange(0, 100, 1)
|
||||
unv_score = np.arange(0, 101, 1)
|
||||
|
||||
# Generate fuzzy membership functions
|
||||
# trimf - triangular function
|
||||
# trapmf - trapezoidal function
|
||||
clubs_low = fuzz.trapmf(unv_clubs, [2, 2, 10, 14])
|
||||
clubs_mid = fuzz.trapmf(unv_clubs, [10, 12, 16, 18])
|
||||
clubs_hig = fuzz.trapmf(unv_clubs, [14, 16, 30, 30])
|
||||
clubs_few = fuzz.trapmf(unv_clubs, [2, 2, 5, 8])
|
||||
clubs_some = fuzz.trapmf(unv_clubs, [3, 6, 9, 12])
|
||||
clubs_several = fuzz.trapmf(unv_clubs, [8, 11, 15, 18])
|
||||
clubs_many = fuzz.trapmf(unv_clubs, [15, 18, 30, 30])
|
||||
|
||||
goals_low = fuzz.trapmf(unv_goals, [2.0, 2.0, 2.5, 3.0])
|
||||
goals_mid = fuzz.trapmf(unv_goals, [2.0, 2.5, 3.0, 3.5])
|
||||
goals_hig = fuzz.trapmf(unv_goals, [3.0, 3.5, 4.0, 4.0])
|
||||
goals_few = fuzz.trapmf(unv_goals, [1.0, 1.0, 2.0, 3.0])
|
||||
goals_moderate = fuzz.trimf(unv_goals, [2.5, 3.0, 3.5])
|
||||
goals_many = fuzz.trapmf(unv_goals, [3.0, 3.5, 5.0, 5.0])
|
||||
|
||||
avgValue_vpoor = fuzz.trapmf(unv_avgValue, [0.01, 0.01, 1.0, 2.0])
|
||||
avgValue_poor = fuzz.trimf(unv_avgValue, [1.0, 5.0, 15.0])
|
||||
avgValue_mpoor = fuzz.trimf(unv_avgValue, [7.5, 20.0, 50.0])
|
||||
avgValue_moderate = fuzz.trimf(unv_avgValue, [20.0, 50.0, 100.0])
|
||||
avgValue_mrich = fuzz.trimf(unv_avgValue, [50.0, 100.0, 175.0])
|
||||
avgValue_rich = fuzz.trimf(unv_avgValue, [150.0, 200.0, 275.0])
|
||||
avgValue_vrich = fuzz.trapmf(unv_avgValue, [200.0, 300.0, 500.0, 500.0])
|
||||
|
||||
avgValue_low = fuzz.trapmf(unv_avgValue, [0.01, 0.01, 100.0, 150.0])
|
||||
avgValue_mid = fuzz.trapmf(unv_avgValue, [100.0, 150.0, 350.0, 400.0])
|
||||
avgValue_hig = fuzz.trapmf(unv_avgValue, [350.0, 400.0, 500.0, 500.0])
|
||||
players_none = fuzz.trimf(unv_players, [0, 0, 1])
|
||||
players_few = fuzz.trapmf(unv_players, [1, 5, 10, 15])
|
||||
players_moderate = fuzz.trapmf(unv_players, [10, 15, 20, 25])
|
||||
players_many = fuzz.trapmf(unv_players, [20, 25, 100, 100])
|
||||
|
||||
totValue_low = fuzz.trapmf(unv_totValue, [0.01, 0.01, 1000.0, 2000.0])
|
||||
totValue_mid = fuzz.trapmf(unv_totValue, [1000.0, 2000.0, 7000.0, 8000.0])
|
||||
totValue_hig = fuzz.trapmf(unv_totValue, [7000.0, 8000.0, 10000.0, 10000.0])
|
||||
teamsChL_min = fuzz.trapmf(unv_teamsChL, [0, 0, 1, 2])
|
||||
teamsChL_mid = fuzz.trapmf(unv_teamsChL, [1, 2, 3, 4])
|
||||
teamsChL_max = fuzz.trapmf(unv_teamsChL, [3, 4, 5, 5])
|
||||
|
||||
players_low = fuzz.trapmf(unv_players, [0, 0, 5, 10])
|
||||
players_mid = fuzz.trapmf(unv_players, [5, 10, 15, 20])
|
||||
players_hig = fuzz.trapmf(unv_players, [15, 20, 100, 100])
|
||||
teamsEuL_min = fuzz.trimf(unv_teamsEuL, [0, 0, 1])
|
||||
teamsEuL_mid = fuzz.trimf(unv_teamsEuL, [0, 1, 2])
|
||||
teamsEuL_max = fuzz.trapmf(unv_teamsEuL, [1, 2, 5, 5])
|
||||
|
||||
teamsChL_low = fuzz.trapmf(unv_teamsChL, [0, 0, 1, 2])
|
||||
teamsChL_mid = fuzz.trimf(unv_teamsChL, [1, 2, 3])
|
||||
teamsChL_hig = fuzz.trapmf(unv_teamsChL, [2, 3, 10, 10])
|
||||
|
||||
teamsEuL_low = fuzz.trapmf(unv_teamsEuL, [0, 0, 1, 2])
|
||||
teamsEuL_mid = fuzz.trimf(unv_teamsEuL, [1, 2, 3])
|
||||
teamsEuL_hig = fuzz.trapmf(unv_teamsEuL, [2, 3, 10, 10])
|
||||
|
||||
teamsCfL_low = fuzz.trapmf(unv_teamsCfL, [0, 0, 1, 2])
|
||||
teamsCfL_min = fuzz.trapmf(unv_teamsCfL, [0, 0, 1, 2])
|
||||
teamsCfL_mid = fuzz.trimf(unv_teamsCfL, [1, 2, 3])
|
||||
teamsCfL_hig = fuzz.trapmf(unv_teamsCfL, [2, 3, 10, 10])
|
||||
teamsCfL_max = fuzz.trapmf(unv_teamsCfL, [2, 3, 5, 5])
|
||||
|
||||
score_low = fuzz.trapmf(unv_score, [0, 0, 20, 40])
|
||||
score_mid = fuzz.trapmf(unv_score, [20, 40, 60, 80])
|
||||
score_hig = fuzz.trapmf(unv_score, [60, 80, 100, 100])
|
||||
score_tragic = fuzz.trapmf(unv_score, [0, 0, 15, 25])
|
||||
score_bad = fuzz.trapmf(unv_score, [15, 25, 35, 45])
|
||||
score_moderate = fuzz.trapmf(unv_score, [35, 45, 55, 65])
|
||||
score_good = fuzz.trapmf(unv_score, [55, 65, 75, 85])
|
||||
score_best = fuzz.trapmf(unv_score, [75, 85, 100, 100])
|
||||
|
||||
|
||||
def activateFuzzyMembershipFunctions(values):
|
||||
global unv_clubs, unv_goals, unv_avgValue, unv_totValue, unv_players, unv_teamsChL, unv_teamsEuL, unv_teamsCfL
|
||||
global clubs_low, clubs_mid, clubs_hig
|
||||
global goals_low, goals_mid, goals_hig
|
||||
global avgValue_low, avgValue_mid, avgValue_hig
|
||||
global totValue_low, totValue_mid, totValue_hig
|
||||
global players_low, players_mid, players_hig
|
||||
global teamsChL_low, teamsChL_mid, teamsChL_hig
|
||||
global teamsEuL_low, teamsEuL_mid, teamsEuL_hig
|
||||
global teamsCfL_low, teamsCfL_mid, teamsCfL_hig
|
||||
global clubs_low_level, clubs_mid_level, clubs_hig_level
|
||||
global goals_low_level, goals_mid_level, goals_hig_level
|
||||
global avgValue_low_level, avgValue_mid_level, avgValue_hig_level
|
||||
global totValue_low_level, totValue_mid_level, totValue_hig_level
|
||||
global players_low_level, players_mid_level, players_hig_level
|
||||
global teamsChL_low_level, teamsChL_mid_level, teamsChL_hig_level
|
||||
global teamsEuL_low_level, teamsEuL_mid_level, teamsEuL_hig_level
|
||||
global teamsCfL_low_level, teamsCfL_mid_level, teamsCfL_hig_level
|
||||
global unv_clubs, unv_goals, unv_avgValue, unv_players, unv_teamsChL, unv_teamsEuL, unv_teamsCfL
|
||||
global clubs_few, clubs_some, clubs_several, clubs_many
|
||||
global goals_few, goals_moderate, goals_many
|
||||
global avgValue_vpoor, avgValue_poor, avgValue_mpoor, avgValue_moderate, avgValue_mrich, avgValue_rich, avgValue_vrich
|
||||
global players_none, players_few, players_moderate, players_many
|
||||
global teamsChL_min, teamsChL_mid, teamsChL_max
|
||||
global teamsEuL_min, teamsEuL_mid, teamsEuL_max
|
||||
global teamsCfL_min, teamsCfL_mid, teamsCfL_max
|
||||
global clubs_few_level, clubs_some_level, clubs_several_level, clubs_many_level
|
||||
global goals_few_level, goals_moderate_level, goals_many_level
|
||||
global avgValue_vpoor_level, avgValue_poor_level, avgValue_mpoor_level, avgValue_moderate_level, avgValue_mrich_level, avgValue_rich_level, avgValue_vrich_level
|
||||
global players_none_level, players_few_level, players_moderate_level, players_many_level
|
||||
global teamsChL_min_level, teamsChL_mid_level, teamsChL_max_level
|
||||
global teamsEuL_min_level, teamsEuL_mid_level, teamsEuL_max_level
|
||||
global teamsCfL_min_level, teamsCfL_mid_level, teamsCfL_max_level
|
||||
|
||||
# Activation of fuzzy membership functions at given values.
|
||||
clubs_low_level = fuzz.interp_membership(unv_clubs, clubs_low, values['clubs'])
|
||||
clubs_mid_level = fuzz.interp_membership(unv_clubs, clubs_mid, values['clubs'])
|
||||
clubs_hig_level = fuzz.interp_membership(unv_clubs, clubs_hig, values['clubs'])
|
||||
clubs_few_level = fuzz.interp_membership(unv_clubs, clubs_few, values['clubs'])
|
||||
clubs_some_level = fuzz.interp_membership(unv_clubs, clubs_some, values['clubs'])
|
||||
clubs_several_level = fuzz.interp_membership(unv_clubs, clubs_several, values['clubs'])
|
||||
clubs_many_level = fuzz.interp_membership(unv_clubs, clubs_many, values['clubs'])
|
||||
|
||||
goals_low_level = fuzz.interp_membership(unv_goals, goals_low, values['goalsPerMatch'])
|
||||
goals_mid_level = fuzz.interp_membership(unv_goals, goals_mid, values['goalsPerMatch'])
|
||||
goals_hig_level = fuzz.interp_membership(unv_goals, goals_hig, values['goalsPerMatch'])
|
||||
goals_few_level = fuzz.interp_membership(unv_goals, goals_few, values['goalsPerMatch'])
|
||||
goals_moderate_level = fuzz.interp_membership(unv_goals, goals_moderate, values['goalsPerMatch'])
|
||||
goals_many_level = fuzz.interp_membership(unv_goals, goals_many, values['goalsPerMatch'])
|
||||
|
||||
avgValue_vpoor_level = fuzz.interp_membership(unv_avgValue, avgValue_vpoor, values['avgMarketValueInMln'])
|
||||
avgValue_poor_level = fuzz.interp_membership(unv_avgValue, avgValue_poor, values['avgMarketValueInMln'])
|
||||
avgValue_mpoor_level = fuzz.interp_membership(unv_avgValue, avgValue_mpoor, values['avgMarketValueInMln'])
|
||||
avgValue_moderate_level = fuzz.interp_membership(unv_avgValue, avgValue_moderate, values['avgMarketValueInMln'])
|
||||
avgValue_mrich_level = fuzz.interp_membership(unv_avgValue, avgValue_mrich, values['avgMarketValueInMln'])
|
||||
avgValue_rich_level = fuzz.interp_membership(unv_avgValue, avgValue_rich, values['avgMarketValueInMln'])
|
||||
avgValue_vrich_level = fuzz.interp_membership(unv_avgValue, avgValue_vrich, values['avgMarketValueInMln'])
|
||||
|
||||
avgValue_low_level = fuzz.interp_membership(unv_avgValue, avgValue_low, values['avgMarketValueInMln'])
|
||||
avgValue_mid_level = fuzz.interp_membership(unv_avgValue, avgValue_mid, values['avgMarketValueInMln'])
|
||||
avgValue_hig_level = fuzz.interp_membership(unv_avgValue, avgValue_hig, values['avgMarketValueInMln'])
|
||||
players_none_level = fuzz.interp_membership(unv_players, players_none, values['famousPlayers'])
|
||||
players_few_level = fuzz.interp_membership(unv_players, players_few, values['famousPlayers'])
|
||||
players_moderate_level = fuzz.interp_membership(unv_players, players_moderate, values['famousPlayers'])
|
||||
players_many_level = fuzz.interp_membership(unv_players, players_many, values['famousPlayers'])
|
||||
|
||||
totValue_low_level = fuzz.interp_membership(unv_totValue, totValue_low, values['totalMarketValueInMln'])
|
||||
totValue_mid_level = fuzz.interp_membership(unv_totValue, totValue_mid, values['totalMarketValueInMln'])
|
||||
totValue_hig_level = fuzz.interp_membership(unv_totValue, totValue_hig, values['totalMarketValueInMln'])
|
||||
|
||||
players_low_level = fuzz.interp_membership(unv_players, players_low, values['famousPlayers'])
|
||||
players_mid_level = fuzz.interp_membership(unv_players, players_mid, values['famousPlayers'])
|
||||
players_hig_level = fuzz.interp_membership(unv_players, players_hig, values['famousPlayers'])
|
||||
|
||||
teamsChL_low_level = fuzz.interp_membership(unv_teamsChL, teamsChL_low, values['teamsInChampionsLeague'])
|
||||
teamsChL_min_level = fuzz.interp_membership(unv_teamsChL, teamsChL_min, values['teamsInChampionsLeague'])
|
||||
teamsChL_mid_level = fuzz.interp_membership(unv_teamsChL, teamsChL_mid, values['teamsInChampionsLeague'])
|
||||
teamsChL_hig_level = fuzz.interp_membership(unv_teamsChL, teamsChL_hig, values['teamsInChampionsLeague'])
|
||||
teamsChL_max_level = fuzz.interp_membership(unv_teamsChL, teamsChL_max, values['teamsInChampionsLeague'])
|
||||
|
||||
teamsEuL_low_level = fuzz.interp_membership(unv_teamsEuL, teamsEuL_low, values['teamsInEuropaLeague'])
|
||||
teamsEuL_min_level = fuzz.interp_membership(unv_teamsEuL, teamsEuL_min, values['teamsInEuropaLeague'])
|
||||
teamsEuL_mid_level = fuzz.interp_membership(unv_teamsEuL, teamsEuL_mid, values['teamsInEuropaLeague'])
|
||||
teamsEuL_hig_level = fuzz.interp_membership(unv_teamsEuL, teamsEuL_hig, values['teamsInEuropaLeague'])
|
||||
teamsEuL_max_level = fuzz.interp_membership(unv_teamsEuL, teamsEuL_max, values['teamsInEuropaLeague'])
|
||||
|
||||
teamsCfL_low_level = fuzz.interp_membership(unv_teamsCfL, teamsCfL_low, values['teamsInConferenceLeague'])
|
||||
teamsCfL_min_level = fuzz.interp_membership(unv_teamsCfL, teamsCfL_min, values['teamsInConferenceLeague'])
|
||||
teamsCfL_mid_level = fuzz.interp_membership(unv_teamsCfL, teamsCfL_mid, values['teamsInConferenceLeague'])
|
||||
teamsCfL_hig_level = fuzz.interp_membership(unv_teamsCfL, teamsCfL_hig, values['teamsInConferenceLeague'])
|
||||
teamsCfL_max_level = fuzz.interp_membership(unv_teamsCfL, teamsCfL_max, values['teamsInConferenceLeague'])
|
||||
|
||||
|
||||
def defineRules():
|
||||
global clubs_low_level, clubs_mid_level, clubs_hig_level
|
||||
global goals_low_level, goals_mid_level, goals_hig_level
|
||||
global avgValue_low_level, avgValue_mid_level, avgValue_hig_level
|
||||
global totValue_low_level, totValue_mid_level, totValue_hig_level
|
||||
global players_low_level, players_mid_level, players_hig_level
|
||||
global teamsChL_low_level, teamsChL_mid_level, teamsChL_hig_level
|
||||
global teamsEuL_low_level, teamsEuL_mid_level, teamsEuL_hig_level
|
||||
global teamsCfL_low_level, teamsCfL_mid_level, teamsCfL_hig_level
|
||||
global score_low, score_mid, score_hig, unv_score
|
||||
global clubs_few_level, clubs_some_level, clubs_several_level, clubs_many_level
|
||||
global goals_few_level, goals_moderate_level, goals_many_level
|
||||
global avgValue_vpoor_level, avgValue_poor_level, avgValue_mpoor_level, avgValue_moderate_level, avgValue_mrich_level, avgValue_rich_level, avgValue_vrich_level
|
||||
global players_none_level, players_few_level, players_moderate_level, players_many_level
|
||||
global teamsChL_min_level, teamsChL_mid_level, teamsChL_max_level
|
||||
global teamsEuL_min_level, teamsEuL_mid_level, teamsEuL_max_level
|
||||
global teamsCfL_min_level, teamsCfL_mid_level, teamsCfL_max_level
|
||||
global score_tragic, score_bad, score_moderate, score_good, score_best, unv_score
|
||||
|
||||
# OR
|
||||
active_rule1 = np.fmax(clubs_low_level,
|
||||
np.fmax(goals_low_level,
|
||||
np.fmax(avgValue_low_level,
|
||||
np.fmax(totValue_low_level,
|
||||
np.fmax(players_low_level,
|
||||
np.fmax(teamsChL_low_level,
|
||||
np.fmax(teamsEuL_low_level, teamsCfL_low_level)))))))
|
||||
active_rule1 = np.fmax(clubs_some_level,
|
||||
np.fmax(clubs_few_level,
|
||||
np.fmax(goals_few_level,
|
||||
np.fmax(avgValue_mpoor_level,
|
||||
np.fmax(avgValue_poor_level,
|
||||
np.fmax(avgValue_vpoor_level,
|
||||
np.fmax(players_none_level,
|
||||
np.fmax(teamsChL_min_level,
|
||||
np.fmax(teamsEuL_min_level,
|
||||
np.fmax(teamsCfL_max_level, teamsCfL_mid_level))))))))))
|
||||
|
||||
active_rule2 = np.fmax(clubs_mid_level,
|
||||
np.fmax(goals_mid_level,
|
||||
np.fmax(avgValue_mid_level,
|
||||
np.fmax(totValue_mid_level,
|
||||
np.fmax(players_mid_level,
|
||||
np.fmax(teamsChL_mid_level,
|
||||
np.fmax(teamsEuL_mid_level, teamsCfL_mid_level)))))))
|
||||
active_rule2 = np.fmax(clubs_several_level,
|
||||
np.fmax(clubs_some_level,
|
||||
np.fmax(clubs_few_level,
|
||||
np.fmax(goals_moderate_level,
|
||||
np.fmax(goals_few_level,
|
||||
np.fmax(avgValue_moderate_level,
|
||||
np.fmax(avgValue_mpoor_level,
|
||||
np.fmax(avgValue_poor_level,
|
||||
np.fmax(players_few_level,
|
||||
np.fmax(players_none_level,
|
||||
np.fmax(teamsChL_min_level,
|
||||
np.fmax(teamsEuL_min_level,
|
||||
np.fmax(teamsCfL_max_level, teamsCfL_mid_level)))))))))))))
|
||||
|
||||
active_rule3 = np.fmax(clubs_hig_level,
|
||||
np.fmax(goals_hig_level,
|
||||
np.fmax(avgValue_hig_level,
|
||||
np.fmax(totValue_hig_level,
|
||||
np.fmax(players_hig_level,
|
||||
np.fmax(teamsChL_hig_level,
|
||||
np.fmax(teamsEuL_hig_level, teamsCfL_hig_level)))))))
|
||||
active_rule3 = np.fmax(clubs_several_level,
|
||||
np.fmax(clubs_some_level,
|
||||
np.fmax(goals_moderate_level,
|
||||
np.fmax(avgValue_mrich_level,
|
||||
np.fmax(avgValue_moderate_level,
|
||||
np.fmax(avgValue_mpoor_level,
|
||||
np.fmax(players_moderate_level,
|
||||
np.fmax(players_few_level,
|
||||
np.fmax(teamsChL_mid_level,
|
||||
np.fmax(teamsChL_min_level,
|
||||
np.fmax(teamsEuL_mid_level,
|
||||
np.fmax(teamsEuL_min_level,
|
||||
np.fmax(teamsCfL_max_level, teamsCfL_mid_level)))))))))))))
|
||||
|
||||
score_activation_low = np.fmin(active_rule1, score_low)
|
||||
score_activation_mid = np.fmin(active_rule2, score_mid)
|
||||
score_activation_hig = np.fmin(active_rule3, score_hig)
|
||||
active_rule4 = np.fmax(clubs_many_level,
|
||||
np.fmax(clubs_several_level,
|
||||
np.fmax(goals_many_level,
|
||||
np.fmax(goals_moderate_level,
|
||||
np.fmax(avgValue_vrich_level,
|
||||
np.fmax(avgValue_rich_level,
|
||||
np.fmax(avgValue_mrich_level,
|
||||
np.fmax(players_many_level,
|
||||
np.fmax(players_moderate_level,
|
||||
np.fmax(teamsChL_mid_level,
|
||||
np.fmax(teamsEuL_mid_level, teamsCfL_mid_level)))))))))))
|
||||
|
||||
active_rule5 = np.fmax(clubs_many_level,
|
||||
np.fmax(goals_many_level,
|
||||
np.fmax(avgValue_vrich_level,
|
||||
np.fmax(players_many_level,
|
||||
np.fmax(teamsChL_max_level,
|
||||
np.fmax(teamsEuL_max_level, teamsCfL_min_level))))))
|
||||
|
||||
aggregated_rules = np.fmax(score_activation_low, np.fmax(score_activation_mid, score_activation_hig))
|
||||
score_activation_tragic = np.fmin(active_rule1, score_tragic)
|
||||
score_activation_bad = np.fmin(active_rule2, score_bad)
|
||||
score_activation_moderate = np.fmin(active_rule3, score_moderate)
|
||||
score_activation_good = np.fmin(active_rule4, score_good)
|
||||
score_activation_best = np.fmin(active_rule5, score_best)
|
||||
|
||||
aggregated_rules = np.fmax(score_activation_tragic, np.fmax(score_activation_bad, np.fmax(score_activation_moderate, np.fmax(score_activation_good, score_activation_best))))
|
||||
|
||||
# active_rule1 = np.fmax(qual_level_lo, serv_level_lo)
|
||||
# tip_activation_lo = np.fmin(active_rule1, tip_lo) # removed entirely to 0
|
||||
@ -221,7 +256,6 @@ if __name__ == "__main__":
|
||||
'clubs': input('Podaj liczbę klubów grających w lidze:\n'),
|
||||
'goalsPerMatch': input('Podaj średnią liczbę goli na mecz:\n'),
|
||||
'avgMarketValueInMln': input('Podaj średnią wartośc klubu w lidze (w milionach):\n'),
|
||||
'totalMarketValueInMln': input('Podaj całkowitą wartość ligi (w milionach):\n'),
|
||||
'teamsInChampionsLeague': input('Podaj liczbę klubów grających w Lidze Mistrzów:\n'),
|
||||
'teamsInEuropaLeague': input('Podaj liczbę klubów grających w Lidze Europy:\n'),
|
||||
'teamsInConferenceLeague': input('Podaj liczbę klubów grających w Lidze Konferencji:\n'),
|
||||
|
54
res.csv
Normal file
54
res.csv
Normal file
@ -0,0 +1,54 @@
|
||||
Premier League score is, 1.0
|
||||
LaLiga score is, 1.0
|
||||
Serie A score is, 1.0
|
||||
Bundesliga score is, 1.0
|
||||
Ligue 1 score is, 0.6926977372958362
|
||||
Liga Bwin score is, 1.0
|
||||
Eredivisie score is, 1.0
|
||||
Bundesliga score is, 0.5057471264367834
|
||||
Premiership score is, 0.5057471264367834
|
||||
Premier Liga score is, 0.8734130372900716
|
||||
Premier Liga score is, 0.8734130372900716
|
||||
Super liga Srbije score is, 0.7140096618357546
|
||||
Jupiler Pro League score is, 1.0
|
||||
Super League score is, 1.0
|
||||
Protathlima Cyta score is, 0.5057471264367834
|
||||
1.HNL score is, 0.5403828197945835
|
||||
Fortuna Liga score is, 0.8734130372900716
|
||||
Super Lig score is, 1.0
|
||||
Super League 1 score is, 0.5057471264367834
|
||||
Superligaen score is, 0.5057471264367834
|
||||
Eliteserien score is, 0.8434674958254214
|
||||
Ligat ha'Al score is, 0.5057471264367834
|
||||
Allsvenskan score is, 0.7140096618357546
|
||||
efbet Liga score is, 0.5057471264367834
|
||||
Premyer Liqa score is, 0.97034078807242
|
||||
Liga 1 score is, 0.7140096618357546
|
||||
Ekstraklasa score is, 1.0
|
||||
NB I. score is, 0.9248363528865283
|
||||
Fortuna Liga score is, 0.5057471264367834
|
||||
Premier Liga score is, 0.5057471264367834
|
||||
Prva Liga score is, 0.6908378245957848
|
||||
Vysheyshaya Liga score is, 0.7140096618357546
|
||||
Divizia Nationala score is, 0.8463231347289373
|
||||
A Lyga score is, 0.6908378245957848
|
||||
Premijer Liga score is, 0.5057471264367834
|
||||
Veikkausliiga score is, 0.5057471264367834
|
||||
BGL Ligue score is, 1.0
|
||||
Virsliga score is, 0.5321408915795232
|
||||
BKT Superliga e Kosovës score is, 0.5057471264367834
|
||||
Premier Division score is, 0.6908378245957848
|
||||
Premiership score is, 0.5057471264367834
|
||||
Kategoria Superiore score is, 0.6908378245957848
|
||||
Bardzragujn khumb score is, 0.6908378245957848
|
||||
Betri-deildin score is, 1.0
|
||||
Premium Liiga score is, 1.0
|
||||
Premier League score is, 0.5057471264367834
|
||||
Crystalbet Erovnuli Liga score is, 0.6908378245957848
|
||||
Prva liga score is, 0.5057471264367834
|
||||
Cymru Premier score is, 0.5057471264367834
|
||||
Gibraltar National League score is, 1.0
|
||||
Pepsi Max deild score is, 0.5057471264367834
|
||||
1. CFL score is, 0.6908378245957848
|
||||
Primera Divisió score is, 0.5057471264367834
|
||||
Camp. Sammarinese score is, 0.5057471264367834
|
|
54
res2.csv
Normal file
54
res2.csv
Normal file
@ -0,0 +1,54 @@
|
||||
Premier League score is, 0.6041054792357513
|
||||
LaLiga score is, 0.8
|
||||
Serie A score is, 0.5403828197945849
|
||||
Bundesliga score is, 0.531043470166621
|
||||
Ligue 1 score is, 0.6926977372958362
|
||||
Liga Bwin score is, 1.0
|
||||
Eredivisie score is, 1.0
|
||||
Bundesliga score is, 0.5057471264367834
|
||||
Premiership score is, 0.5057471264367834
|
||||
Premier Liga score is, 0.8734130372900716
|
||||
Premier Liga score is, 0.8734130372900716
|
||||
Super liga Srbije score is, 0.7140096618357546
|
||||
Jupiler Pro League score is, 1.0
|
||||
Super League score is, 1.0
|
||||
Protathlima Cyta score is, 0.5057471264367834
|
||||
1.HNL score is, 0.5403828197945835
|
||||
Fortuna Liga score is, 0.8734130372900716
|
||||
Super Lig score is, 1.0
|
||||
Super League 1 score is, 0.5057471264367834
|
||||
Superligaen score is, 0.5057471264367834
|
||||
Eliteserien score is, 0.8434674958254214
|
||||
Ligat ha'Al score is, 0.5057471264367834
|
||||
Allsvenskan score is, 0.7140096618357546
|
||||
efbet Liga score is, 0.5057471264367834
|
||||
Premyer Liqa score is, 0.97034078807242
|
||||
Liga 1 score is, 0.7140096618357546
|
||||
Ekstraklasa score is, 1.0
|
||||
NB I. score is, 0.9248363528865283
|
||||
Fortuna Liga score is, 0.5057471264367834
|
||||
Premier Liga score is, 0.5057471264367834
|
||||
Prva Liga score is, 0.6908378245957848
|
||||
Vysheyshaya Liga score is, 0.7140096618357546
|
||||
Divizia Nationala score is, 0.8463231347289373
|
||||
A Lyga score is, 0.6908378245957848
|
||||
Premijer Liga score is, 0.5057471264367834
|
||||
Veikkausliiga score is, 0.5057471264367834
|
||||
BGL Ligue score is, 1.0
|
||||
Virsliga score is, 0.5321408915795232
|
||||
BKT Superliga e Kosovës score is, 0.5057471264367834
|
||||
Premier Division score is, 0.6908378245957848
|
||||
Premiership score is, 0.5057471264367834
|
||||
Kategoria Superiore score is, 0.6908378245957848
|
||||
Bardzragujn khumb score is, 0.6908378245957848
|
||||
Betri-deildin score is, 1.0
|
||||
Premium Liiga score is, 1.0
|
||||
Premier League score is, 0.5057471264367834
|
||||
Crystalbet Erovnuli Liga score is, 0.6908378245957848
|
||||
Prva liga score is, 0.5057471264367834
|
||||
Cymru Premier score is, 0.5057471264367834
|
||||
Gibraltar National League score is, 1.0
|
||||
Pepsi Max deild score is, 0.5057471264367834
|
||||
1. CFL score is, 0.6908378245957848
|
||||
Primera Divisió score is, 0.5057471264367834
|
||||
Camp. Sammarinese score is, 0.5057471264367834
|
|
Loading…
Reference in New Issue
Block a user