Sofascore

• • Premier League • FA Cup • La Liga • Serie A • Bundesliga • Ligue 1 • OFC • Brazil • England • FIFA • France • Germany • Holland • Italy • Portugal • Russia • Scotland • Spain • Turkey • UEFA • AFC • Albania • Algeria • Argentina • Armenia • Australia • Austria • Azerbaijan • Belarus • Belgium • Bolivia • Bosnia Herzegovina • Bulgaria • CAF • Cameroon • Chile • China • Colombia • CONMEBOL • Croatia • Cyprus • Czech Rep. • Denmark • Ecuador • Egypt • El Salvador • Estonia • Finland • Georgia • Greece • Hungary • Iceland • Indonesia • Iran • Ireland • Israel • Japan • Kenya • Korea Rep. • Latvia • Lithuania • Macedonia • Malta • Mexico • Morocco • N. Ireland • Nigeria • North & Central America • Norway • Paraguay • Peru • Poland • Qatar • Romania • Serbia • Slovakia • Slovenia • South Africa • Sweden • Switzerland • Syria • Tunisia • Uganda • Ukraine • Uruguay • USA • Venezuela • Wales • World • LiveScore FT Lithuania 1 - 1 Bulgaria 1-1 FT Luxembourg 2 - 0 Liechtenstein 0-0 FT Norway 1 - 2 Scotland 0-0 FT Azerbaijan 1 - 1 Estonia 0-1 FT Montenegro 0 - 0 Hungary 0-0 FT Cyprus 1 - 2 Georgia 1-1 FT Albania 2 - 0 Moldova 0-0 FT Faroe Islands 0 - 3 Czech Republic 0-2 FT Portugal 3 - 0 Bosnia and Herzegovina 1-0 FT Belgium 1 - 1 Austria 0-1 FT Iceland 1 - 2 Slovakia 1-1 FT New York City Football Club 1 - 1 Columbus 0-0 FT DC United 1 - 2 Salt Lake 0-1 FT New England 3 - 1 Orlando City 0-0 HT Kansas 1 - 0 Los Angeles FC 1-0 HT Nashville 1 - 1 Saint Louis City 1-1 San Jose vs Por...

I am working on this project on Python 3.8. I have to download data into a Pandas Dataframe and ultimately write to a databse (SQL or Access) for all premier league teams for 2018 & 2019. I am trying to use beautifulsoup for that. I have a code that works with soccerbase.com but it does not work on sofascore.com @oppressionslayer has helped with the code so far. Can anybody please help me? import json import pandas as pd import requests from bs4 import BeautifulSoup as bs url = "https://www.sofascore.com/football///json" r = requests.get(url) soup = bs(r.content, 'lxml') json_object = json.loads(r.content) json_object['sportItem']['tournaments'][0]['events'][0]['homeTeam']['name'] # 'Sheffield United' json_object['sportItem']['tournaments'][0]['events'][0]['awayTeam']['name'] # 'Manchester United' json_object['sportItem']['tournaments'][0]['events'][0]['homeScore']['current'] # 3 json_object['sportItem']['tournaments'][0]['events'][0]['awayScore']['current'] print(json_object) How do I loop this code to get the entire universe of teams? My aim is to get every team data with rows as ["Event date", "Competition", "Home Team", "Home Score", "Away Team", "Away Score", "Score"] e.g. 31/10/2019 Premier League Chelsea 1 Manchester United 2 1-2 I am a sarter and how can I get it? import pandas as pd import requests from bs4 import BeautifulSoup as bs url = 'https://www.soccerbase.com/teams/home.sd' r = requests.get(url) soup = bs(r.content, 'html.parser') teams = soup.find('div', ...

Sports app for everyone – whether you are passionate sports fan or a serious fantasy manager. We got everything, from simple live scores to deep statistics and detailed player analysis. We cover 25 sports, more than 5000 leagues, tournaments and special events. With Sofascore app you won’t miss a thing! Player statistics, ratings and Heatmaps (for 38 most popular leagues) We use the best sources for football statistics and calculate precise player ratings. Heatmaps (for football) and Shootmaps (in some basketball leagues) visually represent player effort on the field. Find all transfers, player strengths and weaknesses. Manage your fantasy team with ease, or simply have a strong overview of a player’s performance in a season. Attack Momentum (with unique Sofascore algorithm) Attack Momentum is a new and unique way to follow your favorite games live. Using a complex algorithm, we are able to bring you very accurate insight into the course of the game. Once you see our Attack Momentum, you’ll ask yourself how could you live without this. Chat Section None of your friends are into sports? With our app you can connect with sports enthusiasts, see their match predictions and simply get into conversation in our chat section. Match has been suspended or interrupted and you are not watching? Our community probably knows what happened. Follow everything… …and everyone. You can follow everything you see in the app. Follow players, teams or even complete leagues and recei...

SofaScore es una aplicación destinada a todos los amantes del deporte que no quieren perderse ningún resultado de todos los encuentros y competiciones que siguen en su día a día. Ofrece un catálogo muy amplio con decenas de deportes de todo tipo, incluyendo críquet, hockey sobre hielo, fútbol, polo acuático, dardos, snooker o bádminton. La herramienta está dividida en categorías que contienen todas las ligas en las que se divide cada deporte. Cada una incluye junto un código numérico que corresponde al número de ligas, secciones o subcategorías de cada uno, siendo fútbol y tenis los grupos con mayo número de partidos debido al amplio número de países en los que sus competiciones son practicados. Para conocer el resultado de cualquier partido, tendrás que buscarlo en el deporte y liga correspondiente, y una vez en la ficha del encuentro, accederás a toda la información relativa a su desarrollo, incluyendo puntuaciones, anotadores, localización, y otros datos concretos de cada deporte. Si eres un aficionado a algún equipo específico o un jugador individual, podrás hacer un seguimiento de su año solo con marcarlo como favorito. Esto es aplicable a ligas completas, y es posible ajustar la frecuencia con la que SofaScore te alerte sobre el transcurso del partido, evitando que vuelvas a perderte algún acontecimiento importante. Reseñado por Merche Contreras Requisitos (Última versión) • Requiere Android 7.0 o superior

• Analyse every play — check heatmaps, shotmaps, and player stats • Find team lineups and see who starts the game and who warms the bench • Discover detailed match insights and get deep into the game • Be a part of a community and chat with fans from all over the world • Get your seat in the biggest stadium — join more than 20M monthly active users • • •

• • Premier League • FA Cup • La Liga • Serie A • Bundesliga • Ligue 1 • OFC • Brazil • England • FIFA • France • Germany • Holland • Italy • Portugal • Russia • Scotland • Spain • Turkey • UEFA • AFC • Albania • Algeria • Argentina • Armenia • Australia • Austria • Azerbaijan • Belarus • Belgium • Bolivia • Bosnia Herzegovina • Bulgaria • CAF • Cameroon • Chile • China • Colombia • CONMEBOL • Croatia • Cyprus • Czech Rep. • Denmark • Ecuador • Egypt • El Salvador • Estonia • Finland • Georgia • Greece • Hungary • Iceland • Indonesia • Iran • Ireland • Israel • Japan • Kenya • Korea Rep. • Latvia • Lithuania • Macedonia • Malta • Mexico • Morocco • N. Ireland • Nigeria • North & Central America • Norway • Paraguay • Peru • Poland • Qatar • Romania • Serbia • Slovakia • Slovenia • South Africa • Sweden • Switzerland • Syria • Tunisia • Uganda • Ukraine • Uruguay • USA • Venezuela • Wales • World • LiveScore FT Lithuania 1 - 1 Bulgaria 1-1 FT Luxembourg 2 - 0 Liechtenstein 0-0 FT Norway 1 - 2 Scotland 0-0 FT Azerbaijan 1 - 1 Estonia 0-1 FT Montenegro 0 - 0 Hungary 0-0 FT Cyprus 1 - 2 Georgia 1-1 FT Albania 2 - 0 Moldova 0-0 FT Faroe Islands 0 - 3 Czech Republic 0-2 FT Portugal 3 - 0 Bosnia and Herzegovina 1-0 FT Belgium 1 - 1 Austria 0-1 FT Iceland 1 - 2 Slovakia 1-1 FT New York City Football Club 1 - 1 Columbus 0-0 FT DC United 1 - 2 Salt Lake 0-1 FT New England 3 - 1 Orlando City 0-0 43 Kansas 1 - 1 Los Angeles FC 1-0 38 Nashville 3 - 1 Saint Louis City 1-1 San Jose vs Por...

I am working on this project on Python 3.8. I have to download data into a Pandas Dataframe and ultimately write to a databse (SQL or Access) for all premier league teams for 2018 & 2019. I am trying to use beautifulsoup for that. I have a code that works with soccerbase.com but it does not work on sofascore.com @oppressionslayer has helped with the code so far. Can anybody please help me? import json import pandas as pd import requests from bs4 import BeautifulSoup as bs url = "https://www.sofascore.com/football///json" r = requests.get(url) soup = bs(r.content, 'lxml') json_object = json.loads(r.content) json_object['sportItem']['tournaments'][0]['events'][0]['homeTeam']['name'] # 'Sheffield United' json_object['sportItem']['tournaments'][0]['events'][0]['awayTeam']['name'] # 'Manchester United' json_object['sportItem']['tournaments'][0]['events'][0]['homeScore']['current'] # 3 json_object['sportItem']['tournaments'][0]['events'][0]['awayScore']['current'] print(json_object) How do I loop this code to get the entire universe of teams? My aim is to get every team data with rows as ["Event date", "Competition", "Home Team", "Home Score", "Away Team", "Away Score", "Score"] e.g. 31/10/2019 Premier League Chelsea 1 Manchester United 2 1-2 I am a sarter and how can I get it? import pandas as pd import requests from bs4 import BeautifulSoup as bs url = 'https://www.soccerbase.com/teams/home.sd' r = requests.get(url) soup = bs(r.content, 'html.parser') teams = soup.find('div', ...

SofaScore es una aplicación destinada a todos los amantes del deporte que no quieren perderse ningún resultado de todos los encuentros y competiciones que siguen en su día a día. Ofrece un catálogo muy amplio con decenas de deportes de todo tipo, incluyendo críquet, hockey sobre hielo, fútbol, polo acuático, dardos, snooker o bádminton. La herramienta está dividida en categorías que contienen todas las ligas en las que se divide cada deporte. Cada una incluye junto un código numérico que corresponde al número de ligas, secciones o subcategorías de cada uno, siendo fútbol y tenis los grupos con mayo número de partidos debido al amplio número de países en los que sus competiciones son practicados. Para conocer el resultado de cualquier partido, tendrás que buscarlo en el deporte y liga correspondiente, y una vez en la ficha del encuentro, accederás a toda la información relativa a su desarrollo, incluyendo puntuaciones, anotadores, localización, y otros datos concretos de cada deporte. Si eres un aficionado a algún equipo específico o un jugador individual, podrás hacer un seguimiento de su año solo con marcarlo como favorito. Esto es aplicable a ligas completas, y es posible ajustar la frecuencia con la que SofaScore te alerte sobre el transcurso del partido, evitando que vuelvas a perderte algún acontecimiento importante. Reseñado por Merche Contreras Requisitos (Última versión) • Requiere Android 7.0 o superior

• Analyse every play — check heatmaps, shotmaps, and player stats • Find team lineups and see who starts the game and who warms the bench • Discover detailed match insights and get deep into the game • Be a part of a community and chat with fans from all over the world • Get your seat in the biggest stadium — join more than 20M monthly active users • • •

Sports app for everyone – whether you are passionate sports fan or a serious fantasy manager. We got everything, from simple live scores to deep statistics and detailed player analysis. We cover 25 sports, more than 5000 leagues, tournaments and special events. With Sofascore app you won’t miss a thing! Player statistics, ratings and Heatmaps (for 38 most popular leagues) We use the best sources for football statistics and calculate precise player ratings. Heatmaps (for football) and Shootmaps (in some basketball leagues) visually represent player effort on the field. Find all transfers, player strengths and weaknesses. Manage your fantasy team with ease, or simply have a strong overview of a player’s performance in a season. Attack Momentum (with unique Sofascore algorithm) Attack Momentum is a new and unique way to follow your favorite games live. Using a complex algorithm, we are able to bring you very accurate insight into the course of the game. Once you see our Attack Momentum, you’ll ask yourself how could you live without this. Chat Section None of your friends are into sports? With our app you can connect with sports enthusiasts, see their match predictions and simply get into conversation in our chat section. Match has been suspended or interrupted and you are not watching? Our community probably knows what happened. Follow everything… …and everyone. You can follow everything you see in the app. Follow players, teams or even complete leagues and recei...