THUMBNAILS Cristiano Ronaldo Has Felt Relaxed After Joining Juventus
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Uefa Champions League
UEFA CHAMPIONS LEAGUE - 2020/21 SEASON MATCH PRESS KITS Camp Nou - Barcelona Tuesday 8 December 2020 21.00CET (21.00 local time) FC Barcelona Group G - Matchday 6 Juventus Last updated 03/12/2020 15:29CET UEFA CHAMPIONS LEAGUE OFFICIAL SPONSORS Match-by-match lineups 2 Legend 4 1 FC Barcelona - Juventus Tuesday 8 December 2020 - 21.00CET (21.00 local time) Match press kit Camp Nou, Barcelona Match-by-match lineups FC Barcelona UEFA Champions League - Group stage Group G Club Pld W D L GF GA Pts FC Barcelona 5 5 0 0 16 2 15 Juventus 5 4 0 1 11 4 12 FC Dynamo Kyiv 5 0 1 4 3 13 1 Ferencvárosi TC 5 0 1 4 5 16 1 Matchday 1 (20/10/2020) FC Barcelona 5-1 Ferencvárosi TC Goals: 1-0 Messi 27 (P) , 2-0 Fati 42, 3-0 Coutinho 52, 3-1 Kharatin 70 (P) , 4-1 Pedri 82, 5-1 Dembélé 89 FC Barcelona: Neto, Dest, Piqué, Pjanić (76 Sergio Busquets), Messi, Coutinho (70 Ronald Araújo), Lenglet, Francisco Trincão (63 Dembélé), Sergi Roberto (62 Junior Firpo), F. de Jong, Fati (63 Pedri) Matchday 2 (28/10/2020) Juventus 0-2 FC Barcelona Goals: 0-1 Dembélé 14, 0-2 Messi 90+1 (P) FC Barcelona: Neto, Ronald Araújo (46 Sergio Busquets), Griezmann (89 Junior Firpo), Pjanić, Messi, Dembélé (66 Fati), Lenglet, Pedri (92 Braithwaite), Jordi Alba, Sergi Roberto, F. de Jong Matchday 3 (04/11/2020) FC Barcelona 2-1 FC Dynamo Kyiv Goals: 1-0 Messi 5 (P) , 2-0 Piqué 65, 2-1 Tsygankov 75 FC Barcelona: Ter Stegen, Dest, Piqué, Sergio Busquets (74 Lenglet), Griezmann (60 Dembélé), Pjanić (60 Sergi Roberto), Messi, Pedri (83 Aleñá), Jordi Alba, F. -
Report Player in Match
Spain. Super Cup 13.08.2017 Barcelona 1-3 Real Madrid Barcelona 1-3 Real Madrid Player actions data 2 1. Marc-Andre ter Stegen Player action spots Direction of passes Per match 1st half 2nd half ACTIONS DURING THE MATCH 1st half 2nd half INSTAT INDEX 257 - - Minutes played 93 - - 1 Actions / successful 36 / 30 83% 15 / 13 87% 21 / 17 81% 0% Shots / on target - - - Fouls - - - 7 8 7 5 6 Fouls committed / suffered - - - 3 15 30 45 60 75 90 PASSES / ACCURATE 24 / 22 92% 11 / 9 82% 13 / 13 100% Player's actions 0 Team actions non-attacking / accurate 10 / 10 100% 5 / 5 100% 5 / 5 100% 0% attacking / accurate 14 / 12 86% 6 / 4 67% 8 / 8 100% key / accurate - - - INSTAT INDEX forward / accurate 24 / 22 92% - - back / accurate - - - 34 to the right / accurate 11 / 10 91% - - 293 294 100% to the left / accurate 13 / 12 92% - - 296 265 into the box / accurate - - - 264 257 15 30 45 60 75 90 1 30 4 crosses / accurate - - - 100% 97% 100% InStat Index player's condition at every 5 minutes accurate inaccurate long / accurate 4 / 3 75% - - InStat Index team's condition at every 5 minutes Successful actions Unsuccessful actions CHALLENGES / WON - - - defensive / won - - - attacking / won - - - Challenges Passes distribution air / won - - - tackles / successful - - - 1 Keylor Navas - - 18 Jordi Alba 2 2 4 dribbles / successful - - - 12 Marcelo - - 23 Umtiti 6 7 13 0 4 Sergio Ramos - - 3 Pique 1 3 4 Interceptions / in opp. half 3 / 0 - 3 / 0 0% 5 Varane - - 22 Aleix Vidal 3 1 4 Picking up free balls / in opp. -
Who Can Replace Xavi? a Passing Motif Analysis of Football Players
Who can replace Xavi? A passing motif analysis of football players. Javier Lopez´ Pena˜ ∗ Raul´ Sanchez´ Navarro y Abstract level of passing sequences distributions (cf [6,9,13]), by studying passing networks [3, 4, 8], or from a dy- Traditionally, most of football statistical and media namic perspective studying game flow [2], or pass- coverage has been focused almost exclusively on goals ing flow motifs at the team level [5], where passing and (ocassionally) shots. However, most of the dura- flow motifs (developed following [10]) were satis- tion of a football game is spent away from the boxes, factorily proven by Gyarmati, Kwak and Rodr´ıguez passing the ball around. The way teams pass the to set appart passing style from football teams from ball around is the most characteristic measurement of randomized networks. what a team’s “unique style” is. In the present work In the present work we ellaborate on [5] by ex- we analyse passing sequences at the player level, us- tending the flow motif analysis to a player level. We ing the different passing frequencies as a “digital fin- start by breaking down all possible 3-passes motifs gerprint” of a player’s style. The resulting numbers into all the different variations resulting from labelling provide an adequate feature set which can be used a distinguished node in the motif, resulting on a to- in order to construct a measure of similarity between tal of 15 different 3-passes motifs at the player level players. Armed with such a similarity tool, one can (stemming from the 5 motifs for teams). -
Messi, Ronaldo, and the Politics of Celebrity Elections
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by LSE Research Online Messi, Ronaldo, and the politics of celebrity elections: voting for the best soccer player in the world LSE Research Online URL for this paper: http://eprints.lse.ac.uk/101875/ Version: Accepted Version Article: Anderson, Christopher J., Arrondel, Luc, Blais, André, Daoust, Jean François, Laslier, Jean François and Van Der Straeten, Karine (2019) Messi, Ronaldo, and the politics of celebrity elections: voting for the best soccer player in the world. Perspectives on Politics. ISSN 1537-5927 https://doi.org/10.1017/S1537592719002391 Reuse Items deposited in LSE Research Online are protected by copyright, with all rights reserved unless indicated otherwise. They may be downloaded and/or printed for private study, or other acts as permitted by national copyright laws. The publisher or other rights holders may allow further reproduction and re-use of the full text version. This is indicated by the licence information on the LSE Research Online record for the item. [email protected] https://eprints.lse.ac.uk/ Messi, Ronaldo, and the Politics of Celebrity Elections: Voting For the Best Soccer Player in the World Christopher J. Anderson London School of Economics and Political Science Luc Arrondel Paris School of Economics André Blais University of Montréal Jean-François Daoust McGill University Jean-François Laslier Paris School of Economics Karine Van der Straeten Toulouse School of Economics Abstract It is widely assumed that celebrities are imbued with political capital and the power to move opinion. To understand the sources of that capital in the specific domain of sports celebrity, we investigate the popularity of global soccer superstars. -
2019-20 Impeccable Premier League Soccer Checklist Hobby
2019-20 Impeccable Premier League Soccer Checklist Hobby Autographs=Yellow; Green=Silver/Gold Bars; Relic=Orange; White=Base/Metal Inserts Player Set Card # Team Print Run Callum Wilson Gold Bar - Premier League Logo 13 AFC Bournemouth 3 Harry Wilson Silver Bar - Premier League Logo 8 AFC Bournemouth 25 Joshua King Silver Bar - Premier League Logo 7 AFC Bournemouth 25 Lewis Cook Auto - Jersey Number 2 AFC Bournemouth 16 Lewis Cook Auto - Rookie Metal Signatures 9 AFC Bournemouth 25 Lewis Cook Auto - Stats 14 AFC Bournemouth 4 Lewis Cook Auto Relic - Extravagance Patch + Parallels 5 AFC Bournemouth 140 Lewis Cook Relic - Dual Materials + Parallels 10 AFC Bournemouth 130 Lewis Cook Silver Bar - Premier League Logo 6 AFC Bournemouth 25 Lloyd Kelly Auto - Jersey Number 14 AFC Bournemouth 26 Lloyd Kelly Auto - Rookie + Parallels 1 AFC Bournemouth 140 Lloyd Kelly Auto - Rookie Metal Signatures 1 AFC Bournemouth 25 Ryan Fraser Silver Bar - Premier League Logo 5 AFC Bournemouth 25 Aaron Ramsdale Metal - Rookie Metal 1 AFC Bournemouth 50 Callum Wilson Base + Parallels 9 AFC Bournemouth 130 Callum Wilson Metal - Stainless Stars 2 AFC Bournemouth 50 Diego Rico Base + Parallels 5 AFC Bournemouth 130 Harry Wilson Base + Parallels 7 AFC Bournemouth 130 Jefferson Lerma Base + Parallels 1 AFC Bournemouth 130 Joshua King Base + Parallels 2 AFC Bournemouth 130 Nathan Ake Base + Parallels 3 AFC Bournemouth 130 Nathan Ake Metal - Stainless Stars 1 AFC Bournemouth 50 Philip Billing Base + Parallels 8 AFC Bournemouth 130 Ryan Fraser Base + Parallels 4 AFC -
Ronaldo Vs. Ronaldo Rough Draft.Docx
Kevin Guevara Wri 10 Abuan 19/3/13 Top Eleven Ronaldo vs Ronaldo, the question at hand is who is the better candidate to be placed in Comment [1]: Bernie Gabriel: Also it is unclear to people who don't really follow soccer who you are talking about. You the Top Eleven squad of All Time? Each generation there are new upcoming soccer stars that should probably state their first names in the intro. break records and take the game to greater heights. The soccer world always waits on these Comment [2]: Jesan Morales: what he said ^ Comment [3]: Bernie Gabriel: recognitions given out to an individual player. Each year players are selected as the best eleven I think that the first sentence works better after the sentence, " Each year players are selected as the best eleven..." in the world in that year, but being selected in being in the top eleven of all time is a greater Comment [4]: Bernie Gabriel: Confusing sentence in my opinion.Maybe it accomplishment. Selecting which Ronaldo should be placed in the forward/striker spot is tough. would sound better if it said, "Avid followers soccer wait to see which individual players receive these recognitions." Both Ronaldo’s in their careers have achieved so much in the clubs they played for such as FIFA Comment [5]: Jesan Morales: you should re phrase this sentense. World Player of the Year and European Golden Boot. Although these two players were performing at their best in different generations we must compare them evenly according to the ages in which they reached their prime. -
Exclusive Interview: Andy Williams, Knee Surgeon to the Stars, Maps out Road Back for Virgil Van Dijk
NEWS WEBSITE OF THE YEAR My Feed Coronavirus News Politics Sport Business Money Opinion Tech Life Style Travel See all Sport Exclusive interview: Andy Williams, knee surgeon to the stars, maps out road back for Virgil van Dijk Orthopaedic consultant has saved the careers of countless sportspeople including Alex Oxlade-Chamberlain, Danny Ings and Jonny May By Jason Burt, CHIEF FOOTBALL CORRESPONDENT 20 October 2020 • 1:28pm 9 If Virgil van Dijk is seeking solace as he confronts the long, painful path to recovery from his serious knee ligament injury, Andy Williams is probably the man to provide it. Williams is regarded as the world’s foremost surgeon when it comes to ACL and knee injuries and there is not a professional footballer who has not heard of him. The 56-year- old has saved countless careers including Van Dijk's current and former team-mates at Liverpool - Alex Oxlade-Chamberlain and Danny Ings - Newcastle's new £20 million signing Callum Wilson, whom he operated on four times, and England rugby wing Jonny May. It remains to be seen whether Williams will be involved in Van Dijk's recovery, but whilst this interview took place before the Dutchman's ill-fated collision with Jordan Pickford at Everton last Saturday, his words provide a blueprint on how to manage a recovery. ADVERTISING Trust is fundamental to the relationship between patient and doctor, and Williams has earned it from his clients - so much so that everyone mentioned by him in our interview at the Fortius Clinic where he works in central London gave consent for their cases to be discussed. -
Comparison of Machine Learning Approaches Applied to Predicting Football Players Performance
Comparison of Machine Learning Approaches Applied to Predicting Football Players Performance Master’s thesis in Computer science and engineering ADRIAN LINDBERG DAVID SÖDERBERG Department of Computer Science and Engineering CHALMERS UNIVERSITY OF TECHNOLOGY UNIVERSITY OF GOTHENBURG Gothenburg, Sweden 2020 Master’s thesis 2020 Comparison of Machine Learning Approaches Applied to Predicting Football Players Performance ADRIAN LINDBERG DAVID SÖDERBERG Department of Computer Science and Engineering Chalmers University of Technology University of Gothenburg Gothenburg, Sweden 2020 Comparison of Machine Learning Approaches Applied to Predicting Football Play- ers Performance ADRIAN LINDBERG DAVID SÖDERBERG © ADRIAN LINDBERG, DAVID SÖDERBERG, 2020. Supervisor: Carl Seger, Research Professor, Functional Programming division, Com- puter Science and Engineering. Supervisor: Yinan Yu, Postdoc, Functional Programming division, Department of Computer Science and Engineering. Examiner: Andreas Abel, Senior Lecturer, Logic and Types division, Department of of Computer Science and Engineering. Master’s Thesis 2020 Department of Computer Science and Engineering Chalmers University of Technology and University of Gothenburg SE-412 96 Gothenburg Telephone +46 31 772 1000 Typeset in LATEX Gothenburg, Sweden 2020 iv Comparison of Machine Learning Approaches Applied to Predicting Football Players Performance ADRIAN LINDBERG DAVID SÖDERBERG Department of Computer Science and Engineering Chalmers University of Technology Abstract This thesis investigates three machine learning approaches: Support Vector Machine (SVM), Multi-Layer Perceptron (MLP) and Long Short-Term Memory (LSTM) on predicting the performance of an upcoming match for a football player in the English Premier League. Each approach is applied to two problems: regression and classifi- cation. The last four seasons of English Premier League is collected and analyzed. Each approach and problem is tested several times with different hyperparameters in order to find the best performance. -
Introducing a Statistical and Geometric Approach to Visualising and Analysing Passing in Football Using R
Introducing a Statistical and Geometric approach to Visualising and Analysing Passing in Football using R Aaron Carman 180350874 Year 3 - Semester 2 1 Contents Introduction 4 Data Sourcing 4 Availability of Football Data . .4 How to work with StatsBomb data . .4 Installing packages . .4 Pulling in StatsBomb data . .5 What data is included? . .5 Pass Maps 8 Creating a Pass Map in R . .8 Pass Map code for individuals . .9 Interpreting Pass Maps . 10 Liverpool Pass Map . 10 Liverpool and Tottenham Shot Maps . 11 Pass Maps for Individuals Liverpool Players . 12 Comparing Pass Maps with discrete data . 13 Table of Passing Frequency . 13 Barplots of discrete passing data . 14 Pass Flow Graphs 16 Creating a Pass Flow Graph in R . 16 Preparing the data . 16 Plotting the graph . 18 Interpreting Pass Flow Graphs . 19 Liverpool Pass Flow Graph . 19 Pass Flow Graphs for Individual Liverpool Players . 20 Passing Networks 22 What are Passing Networks? . 22 Creating Passing Networks . 22 Interpreting Passing Networks . 25 Liverpool Passing Network . 25 Barcelona Passing Networks vs Manchester United . 26 Manchester United Passing Network vs Barcelona . 27 2 A Geometric Approach 28 Introducing Voronoi diagrams . 28 What are Voronoi diagrams? . 28 How do Voronoi diagrams relate to football? . 28 Voronoi diagrams of generated examples using Euclidean distance . 29 Creating the Voronoi diagrams . 29 Comparing formations using Voronoi diagrams . 30 Snapshots of Voronoi diagrams from real game situations . 35 Tanguy Ndombele’s goal vs Sheffield . 35 Discussions and Conclusions 37 A Note Regarding References 38 Bibliography 38 3 Introduction In football, the analysis of data is more prevalent than ever. -
Match Press Kits
UEFA CHAMPIONS LEAGUE - 2020/21 SEASON MATCH PRESS KITS Saint Petersburg Stadium - St Petersburg Tuesday 20 October 2020 FC Zenit 18.55CET (19.55 local time) Club Brugge Group F - Matchday 1 Last updated 16/01/2021 00:32CET UEFA CHAMPIONS LEAGUE OFFICIAL SPONSORS Previous meetings 2 Match background 4 Squad list 6 Match officials 8 Fixtures and results 9 Match-by-match lineups 12 Competition facts 13 Team facts 14 Legend 16 1 FC Zenit - Club Brugge Tuesday 20 October 2020 - 18.55CET (19.55 local time) Match press kit Saint Petersburg Stadium, St Petersburg Previous meetings Head to Head UEFA Cup Date Stage Match Result Venue Goalscorers 5-0 Brylle Larsen 20, 38, 30/09/1987 R1 Club Brugge - FC Zenit Bruges agg: 5-2 57, 72, Ceulemans 44 Chukhlov 8, 16/09/1987 R1 FC Zenit - Club Brugge 2-0 St Petersburg Zheludkov 69 Home Away Final Total Pld W D L Pld W D L Pld W D L Pld W D L GF GA FC Zenit 1 1 0 0 1 0 0 1 0 0 0 0 2 1 0 1 2 5 Club Brugge 1 1 0 0 1 0 0 1 0 0 0 0 2 1 0 1 5 2 FC Zenit - Record versus clubs from opponents' country UEFA Europa League Date Stage Match Result Venue Goalscorers Giuliano 24, 78, 3-1 23/02/2017 R32 FC Zenit - RSC Anderlecht St Petersburg Dzyuba 72; Kiese agg: 3-3 ag Thelin 90 16/02/2017 R32 RSC Anderlecht - FC Zenit 2-0 Brussels Acheampong 5, 31 UEFA Champions League Date Stage Match Result Venue Goalscorers Depoitre 18, Milicevic 09/12/2015 GS KAA Gent - FC Zenit 2-1 Ghent 78; Dzyuba 65 Dzyuba 35, Shatov 29/09/2015 GS FC Zenit - KAA Gent 2-1 St Petersburg 67; Matton 56 UEFA Champions League Date Stage Match Result Venue Goalscorers 3-0 Rondón 30, Hulk 54 26/08/2014 PO FC Zenit - R. -
Global Soccer Icons Ronaldo, Villa, Bale & Kaka Collide At
FOR IMMEDIATE RELEASE Contact: Claudia Martinez Thursday, July 20, 2017 [email protected] GLOBAL SOCCER ICONS RONALDO, VILLA, BALE & KAKA COLLIDE AT 2017 MLS ALL-STAR GAME ON FS1 FOX Sports to Debut Ref Cam as MLS All-Stars Battle Real Madrid Studio and Match Coverage Live From Soldier Field Los Angeles – FOX Sports features multi-platform coverage of the 2017 MLS All-Star Game presented by Target, as U.S. MNT stars Tim Howard and Michael Bradley and global soccer icons Kaka, David Villa and Bastian Schweinsteiger lead the MLS All-Stars against 12-time UEFA Champions League title winners Real Madrid and a lineup expected to feature Cristiano Ronaldo, Gareth Bale and Sergio Ramos. Live coverage from Soldier Field in Chicago begins Wednesday, Aug. 2 at 8:30 PM ET on FS1. FOX Sports enhances its second MLS All-Star Game telecast with Ref Cam technology, providing viewers distinctive angles and points of view throughout the match, and with its all-star broadcast team of analysts, special correspondents and reporters. FOX Sports MLS All-Star Game coverage (all times ET & subject to change) • MLS All-Star Game pregame show (Wednesday, Aug. 2 at 8:30 PM ET, FS1) • MLS All-Star Game (Wednesday, Aug. 2, 9:00 PM ET, FS1) • “FOX Soccer Live” (Tuesday, Aug. 1, 10:30 AM ET, FOX Soccer Facebook Page) • “The Rec League” (Wednesday, Aug. 2, 8:00 PM ET, FOX Soccer Facebook Page) Rob Stone hosts pregame, halftime and postgame studio coverage from a field-level set at Chicago’s Soldier Field alongside former MLS stars Alexi Lalas, Eric Wynalda and Stu Holden, beginning at 8:30 PM ET. -
Präsentation1 Zoran
ZORAN MAMIC CURRICULUM VITAE Personal information UEFA 'PRO' License Croatian Football Federation First name(s) / Zoran Surname(s) Mamić Markusevǎ ckǎ Dubrava 74, Address 10000 Zagreb, Croatia E-mail(s) [email protected] Nationality Croatian Date of birth 30/09/1971 Verein Amtsantritt Amtsaustritt Amtszeit Funktion Spiele W D L PPS Dinamo Zagreb 18/19 (05.06.2019) vrstl. - 166 Tage Sportdirektor - - - - - Hilal 18/19 (01.02.2019) 18/19 (26.04.2019) 84 Tage Trainer 16 11 2 3 2,19 Al-Ain FC 16/17 (01.02.2017) 18/19 (30.01.2019) 728 Tage Trainer 64 40 14 10 2,09 Al-Nasr Riad 16/17 (01.07.2016) 17/18 (29.01.2017) 212 Tage Trainer 20 14 2 4 2,20 Dinamo Zagreb 13/14 (22.10.2013) 15/16 (23.06.2016) 975 Tage Trainer 140 97 23 20 2,24 2007-2016 GNK DINAMO ZAGREB, CROATIA SPORTS DIRECTOR, CARETAKER MANAGER AND MANAGER HANDLING TRANSFER OPERATIONS, OVERSEEING ALL LEVELS OF THE CLUB (FROM YOUTH TO FIRST TEAM), MONITORING PLAYERS MARKET AND SCOUTING FOR POTENTIAL SIGNINGS, TRAINING AND TEAM SELECTION 20.6.2016 – 29.1.2017 AL NASSR FOOTBALL CLUB, 11555 RIYADH, SAUDI ARABIA FIRST TEAM MANAGER HANDLING TRANSFER OPERATIONS, MONITORING PLAYERS MARKET AND SCOUTING FOR POTENTIAL SIGNINGS, TRAINING AND TEAM SELECTION 30.1.2017 – 20.1.2019 AL AIN FC, P.O. BOX 1113, AL-AIN, UNITED ARAB EMIRATES FIRST TEAM MANAGER HANDLING TRANSFER OPERATIONS, MONITORING PLAYERS MARKET AND SCOUTING FOR POTENTIAL SIGNINGS, TRAINING AND TEAM SELECTION 21.1.2019 – 30.04.2019 AL HILAL 11555 RIYADH, SAUDI ARABIA FIRST TEAM MANAGER HANDLING TRANSFER OPERATIONS, MONITORING PLAYERS MARKET AND SCOUTING FOR POTENTIAL SIGNINGS, TRAINING AND TEAM SELECTION 01.05.2019 -NOW GNK DINAMO ZAGREB, CROATIA SPORTS DIRECTOR, NOTABLE TRANSFERS • 2007.