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Contents Acknowledgements 6 Foreword 9 Introduction 13 1. Middlesbrough v Liverpool, 17 August 1996 19 2 August 29 3. Middlesbrough v West Ham United, 4, September 1996 39 4 September 45 5. Sunderland v Middlesbrough, 14 October 1996 53 6 October 58 7. November 66 8 Middlesbrough v Newcastle, 27 November 1996 73 9. December 83 10. Middlesbrough v Everton, 26 December 1996 94 11. January 100 12 Middlesbrough v Sheffield Wednesday, 18 January 1997 113 13. February 120 14. Stockport County v Middlesbrough, 26 February 1997 128 15. Middlesbrough v Derby County, 5 March 1997 136 16. March 143 17. Leicester City v Middlesbrough, 6 April 1997 155 18. April 167 19. May 181 20 Chelsea v Middlesbrough, 17 May 1997 203 Epilogue 212 Bibliography 222 Middlesbrough 1996/97 Results 223 Chapter 1 Middlesbrough v Liverpool Saturday, 17 August 1996 Riverside Stadium Attendance: 30,039 He was instantly recognisable the moment he strolled out of the players’ tunnel on to the turf of the Riverside Stadium The shock of silver hair glinted in the scorching August sun, the loose-fitting red shirt sagged untucked, the collar turned up The name commentators relished saying A month or two ago the transfer sounded like a joke There he was in the flesh One of the elite strikers on the planet was playing for Middlesbrough Football Club Less than three months earlier Fabrizio Ravanelli was playing for Juventus in the Stadio Olimpico in the Champions League Final On 13 minutes, the man known in Italy as Penne Bianca (‘White Feather’) latched on to the ball after a defensive -
Dc Stoddert Session Plans
DC STODDERT SESSION PLANS U15 + HIGH SCHOOL (11V11) SOCCER SESSION PLAN #: 01 AGE GROUP: HIGH SCHOOL PLAYERS 12+ STAGE: 1 FOCUS: DEFENDING IN PAIRS - CONTACT BEFORE FIRST TOUCH Body between defender and ball Decision on where to play next before you get the ball 20 MIN. 1ST ACTIVITY: Mini Game (Skill Practice) Option A ORGANIZATION: TECHNIQUE: KEY POINTS: • 5v2 rondo • Stay on your feet defensively • Touch the ball to get out of the middle • Force the ball one way with body • Defender has to retreat to central cone after shape and cutting off passing angles defending the ball • Step on bad touch, when the ball • Pressure and cover is introduced by the stops, or a slow pass stepping to the ball and the 2nd defender • Recover centrally at pace with a drop covering and cutting off passing lanes step • Players on the outside use a touch limit 2-3 touch 20 MIN. 2ND ACTIVITY: Mini Game (Skill Practice) Option B ORGANIZATION: TECHNIQUE: KEY POINTS: • 1v1 central with multiple balls on the outside • Check away and then into the ball • Playmaker receives ball under passive pressure, • Head up to find open player before uses feints/moves to get separation and finds reception open outside player • Use your body to get contact before • Work for 45 seconds then switch touching the ball • Hard work, so rest is built in on the outside • Vary surface for first touch • Keep body between man and ball 20 MIN. 3RD ACTIVITY: The Game ORGANIZATION: TECHNIQUE: KEY POINTS: • 11v11 game • As above • Look to pivot the ball via central players • Use the pressure and cover technique • Defensively hunt in pairs to win the ball back • Use body to shield and take ball in possession 5 MIN. -
7 Sept. 2, 2021
Sept. 2, 2021 Brazilian former football star Pele said on Twitter that he was undergoing routine exams in hospital and that he was “in very good health”, denying a 7 report of a more serious health issue, Reuters reported. Djokovic takes first unsteady step toward calendar slam Sports Desk 5-1, courtesy of doubles by Abbasi and Olad-Qobad, and a Tavakkoli strike. ead coach Mohammad Nazemasharieh released Iran is pitted against the defending champion Argentina, Iran’s 16-man squad for the FIFA Futsal World Serbia, and USA in Group F of the World Cup, which was HCup in Lithuania, starting September 12. postponed by a year due to the coronavirus pandemic. Alireza Samimi, Sepehr Mohammadi, Baqer Moham- The 12-time Asian champion will kick off its campaign madi, Hamid Ahmadi, Mohammadreza Sang-Sefidi, against Serbia on September 14 at the Avia Solutions Hossein Tayyebi, Farhad Tavakkoli, Alireza Rafieipour, Group Arena in the capital city of Vilnius. Mohammad Shajari, Moslem Olad-Qobad, Ali-Asghar Nazemasharieh’s men will then take on USA on Septem- Hassanzadeh, Mohammad-Taha Nematian, Mehdi Javid, ber 17, before squaring off against Argentina in the final Seyyed Ahmad Abbasi, Ahmad Esmaeilpour, and Farhad group fixture three days later. Fakhim will represent the country at the event, ISNA re- Top two of the six groups plus four of the best third- ported. placed teams will progress to the round of 16. The Asian powerhouse on Tuesday claimed a second Iran made history in 2016 by becoming the first Asian consecutive friendly victory over Belarus – after an 8-2 side to reach the last-four of the World Cup, beating Portu- win on the preceding night – beating the European host gal in the shootout for the third spot in Colombia. -
Using Deep Learning to Value Defensive Actions In
What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data Charbel Merhej Ryan J Beal University of Southampton University of Southampton Southampton, United Kingdom Southampton, United Kingdom [email protected] [email protected] Tim Matthews Sarvapali Ramchurn Sentient Sports University of Southampton Southampton, United Kingdom Southampton, United Kingdom [email protected] [email protected] ABSTRACT 1 INTRODUCTION Objectively quantifying the value of player actions in football (soc- Valuing the actions of humans and agents in the real-world is a cer) is a challenging problem. To date, studies in football analytics problem in many industries. By assigning values to actions com- have mainly focused on the attacking side of the game, while there mitted, we can help evaluate the performance of agents and aid the has been less work on event-driven metrics for valuing defensive learning and improvement of future actions. To date, examples of actions (e.g., tackles and interceptions). Therefore in this paper, work that explore methods for valuing actions are shown in indus- we use deep learning techniques to define a novel metric that val- trial optimisation [18], agent negotiation [14] and sports analytics ues such defensive actions by studying the threat of passages of [6, 23]. Although all these papers aim to assign value to what a play that preceded them. By doing so, we are able to value defen- human or agent has helped happen, there are many domains in the sive actions based on what they prevented from happening in the real-world where some humans/agents are tasked with prevent- game. -
Juventus Atalanta
Giornata 12 SERIE A TIM 2020-2021 JUVENTUS ATALANTA Torino 16/12/2020 STADIO ALLIANZ STADIUM 18:30 Giornata 12 SERIE A TIM 2020-2021 Torino 16/12/2020 STADIO ALLIANZ STADIUM - 18:30 JUVENTUS 1-1 ATALANTA FORMAZIONI JUVENTUS ATALANTA 1 WOJCIECH SZCZESNY (P) (P) PIERLUIGI GOLLINI 95 16 JUAN CUADRADO BERAT DJIMSITI 19 4 MATTHIJS DE LIGT CRISTIAN ROMERO 17 19 LEONARDO BONUCCI JOSE' PALOMINO 6 13 DANILO HANS HATEBOER 33 14 WESTON MCKENNIE MARTEN DE ROON 15 30 RODRIGO BENTANCUR REMO FREULER 11 5 ARTHUR ROBIN GOSENS 8 22 FEDERICO CHIESA MATTEO PESSINA 32 9 ALVARO MORATA RUSLAN MALINOVSKYI 18 7 CRISTIANO RONALDO DUVAN ZAPATA 91 13 22 33 4 - 4 - 2 3 - 4 - 2 - 1 19 7 32 19 5 15 1 91 17 95 4 30 11 9 18 6 16 14 8 A disposizione A disposizione 31 CARLO PINSOGLIO FRANCESCO ROSSI 31 77 GIANLUIGI BUFFON MARCO SPORTIELLO 57 8 AARON RAMSEY BOSKO SUTALO 4 10 PAULO DYBALA SAM LAMMERS 7 12 ALEX SANDRO LUIS MURIEL 9 25 ADRIEN RABIOT ALEJANDRO GOMEZ 10 33 FEDERICO BERNARDESCHI JOHAN MOJICA 26 34 COSIMO MARCO DA GRACA FABIO DEPAOLI 27 37 RADU DRAGUSIN EMMANUEL GYABUAA 44 38 GIANLUCA FRABOTTA ALEKSEJ MIRANCHUK 59 39 MANOLO PORTANOVA AMAD DIALLO 79 44 DEJAN KULUSEVSKI Allenatore: ANDREA PIRLO Allenatore: GIAN PIERO GASPERINI Arbitro: DANIELE DOVERI Quarto Uomo: MAURIZIO MARIANI Guardalinee: FABIANO PRETI V.A.R.: MASSIMILIANO IRRATI Guardalinee: STEFANO LIBERTI A.V.A.R.: DANIELE BINDONI SERIE A TIM 2020-2021 2/16 Stampato il : 17/12/2020 alle 18:22:41 Giornata 12 SERIE A TIM 2020-2021 Torino 16/12/2020 STADIO ALLIANZ STADIUM - 18:30 JUVENTUS 1-1 ATALANTA CRONOLOGIA JUV 2T 1T 0' | 45+3' 2T 46' | 90+4' ATA JUVENTUS ATALANTA 1 1 A. -
Zeitgeist Nederland 2012
Zeitgeist Nederland 2012 Dit zijn de volledige lijsten van de onderzochte onderwerpen voor Google Zeitgeist 2012 in Nederland. Snelst stijgend en meest populair op basis van volume Meest gezochte zoekopdrachten 1. Facebook 2. Marktplaats 3. YouTube 4. Hotmail 5. Buienradar 6. Hyves 7. Google 8. Telegraaf 9. ING 10. Nu.nl Snelststijgende zoekopdrachten 1. Stemwijzer 2. EK 2012 3. Friso 4. Boer Zoekt Vrouw 5. Elfstedentocht 6. Olympische Spelen 7. iPad 3 8. Wordfeud 9. ABN inloggen 10. Project X Haren Snelstijgende zoekopdrachten voor personen 1. Friso 2. Kate Middleton 3. Whitney Houston 4. Badr Hari 5. Estelle Gullit 6. Epke Zonderland 7. Michael Clarke Duncan 8. Balotelli 9. Morgan Freeman 10. Felix Baumgartner Snelst stijgende afbeeldingen 1. One Direction 2. Bloemen 3. Love 4. Voetbal 5. Hartje 6. Achtergronden 7. Facebook 8. YouTube 9. Paarden 10. iPhone 5 Politiek Meest gezochte politieke partijen 1. SP 2. PvdA 3. VVD 4. PVV 5. CDA 6. D66 7. GroenLinks 8. SGP 9. ChristenUnie 10. Partij voor de Dieren Meest gezochte lijsttrekkers 1. Geert Wilders 2. Mark Rutte 3. Diederik Samson 4. Jolande Sap 5. Marianne Thieme 6. Emile Romer 7. Sybrand Buma 8. Henk Krol 9. Alexander Pechtold 10. Arie Slob Meest gezochte buitenlandse politici 1. Obama 2. Cameron 3. Romney 4. Zuma 5. Hollande 6. Merkel 7. Samaras 8. Di Rupo 9. Medvedev 10. Betrian Snelst stijgende zoekopdrachten met betrekking tot de huizenmarkt 1. Restschuld 2. Open huizen dag 3. Scheefwonen 4. Funda 5. Prijsdaling 6. Spaarhypotheek 7. Huis verhuren 8. Huis huren 9. Huis verbouwen 10. Huis verkopen Kennisvragen Meest gestelde vragen - Hoe? 1. -
An Automated Background Check on Professional Football Players
Eindhoven University of Technology MASTER A method to perform an automated background check on professional football players Hendrickx, T. Award date: 2016 Link to publication Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain School of Industrial Engineering Information Systems Group A Method to Perform an Automated Background Check on Professional Football Players Master Thesis T. Hendrickx 0920308 Supervisors: dr. R.J. de Almeida e Santos Nogueira (TU/e) prof.dr.ir. U. Kaymak (TU/e) ir. B.J. Aalbers (SciSports) Final Version Enschede, July 2016 Abstract Lately, there has been much attention for modeling the performance of association football players on the pitch, to see whether a specific player fits in a team, to detect promising players early in their career, and to predict match outcomes in order to make profit by placing bets. -
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. -
05HYD-01 F.Qxd
Follow us on: RNI No. TELENG/2018/76469 @TheDailyPioneer facebook.com/dailypioneer Established 1864 Published From OPINION 8 CELEB TALKS 14 SPORTS 16 HYDERABAD DELHI LUCKNOW HARNESS THE SRK: I AM WORKING ON SCRIPTS, DEAN’S CLASS: ELGAR, BHOPAL RAIPUR CHANDIGARH POWER OF SUN WILL ANNOUNCE MY NEXT FILM SOON DE KOCK SCORE HUNDRED BHUBANESWAR RANCHI DEHRADUN VIJAYAWADA *LATE CITY VOL. 1 ISSUE 362 HYDERABAD, SATURDAY OCTOBER 5, 2019; PAGES 16 `3 *Air Surcharge Extra if Applicable SANTOSH SRINIVAS TO DIRECT BELLAMKONDA { Page 13 } www.dailypioneer.com RBI reduces GOVT INVOKES ESMA AS TALKS FAIL key lending Sedition slap on celebrities TSRTC strike from today rate by 25 bps PNS n HYDERABAD MUMBAI: To reverse the consumption slowdown and who penned letter to PM TSRTC buses will go off the KCR sets 6-00 shore-up growth, the Reserve roads from Saturday as talks Bank of India on Friday PNS n MUZAFFARPUR between the three-member pm deadline reduced key lending rates IAS officers' committee for the fifth consecutive time. An FIR has been lodged in Adoor Gopalakrishnan: Moving towards appointed by the state gov- for RTC staff Accordingly, the the RBI's Bihar's Muzaffarpur against ernment and representatives of HYDERABAD: Reacting to the monetary policy committee nearly 50 celebrities, including ‘What's happening to us?’ an authoritarian the Joint Action Committee RTC strike for the first time, (MPC) in its fourth policy Aparna Sen, Adoor (JAC) of TSRTC employees Chief Minister K review of the current fiscal Gopalakrishnan and THIRUVANANTHAPURAM: and workers unions proved n Govt says employees going on Chandrasekhar Rao on Friday reduced the repo, or short Ramchandra Guha for alleged Kerala filmmaker Adoor state: Rahul sterile for the third consecutive strike could be sacked set 6-00 pm on Saturday as term lending rate for com- sedition after they wrote an Gopalakrishnan is in "total WAYANAD (KERALA): Coming day on Friday. -
BMO Management Strategies of Football Clubs in the Dutch Eredivisie
BSc-Thesis – BMO Management strategies of football clubs in the Dutch Eredivisie Name Student: Mylan Pouwels Registration Number: 991110669120 University: Wageningen University & Research (WUR) Study: BBC (Business) Thesis Mentor: Jos Bijman Date: 1-23-2020 Chair Group: BMO Course Code: YSS-81812 Foreword From an early age I already like football. I like it to play football by myself, to watch it on television, but also to read articles about football. The opportunity to combine my love for football with a scientific research for my Bachelor Thesis, could not be better for me. During an orientating conversation about the topic for my Bachelor Thesis with my thesis mentor Jos Bijman, I mentioned that I was always interested in the management strategies of organizations. What kind of choices an organization makes, what kind of resources an organization uses, what an organization wants to achieve and its performances. Following closely this process in large organizations is something I like to do in my leisure time. My thesis mentor Jos Bijman asked for my hobbies and he mentioned that there was a possibility to combine my interests in the management strategies of organizations with my main hobby football. In this way the topic Management strategies of football clubs in the Dutch Eredivisie was created. The Bachelor Thesis Management strategies of football clubs in the Dutch Eredivisie is executed in a qualitative research, using a literature study. This Thesis is written in the context of my graduation of the study Business-and Consumer Studies (specialization Business) at the Wageningen University and Research. From October 28 2019 until January 23 I have been working on the research and writing of my Thesis. -
2019-20 2020 Panini Select UEFA Euro Hobby Soccer Checklist
2019-20 Select UEFA Euro Soccer Checklist Hobby Green = Autographs and Relics; 21 Countries (all have hits except Finland) Player Set Card # Country Print Run David Alaba Auto - Select Signatures 20 Austria David Alaba Auto - Select Signatures Parallels 20 Austria 135 Marc Janko Auto - Historical Significance 7 Austria Marc Janko Auto - Historical Significance Parallels 7 Austria 135 Marko Arnautovic Relic - Select Stars 7 Austria Marko Arnautovic Relic - Select Stars Parallels 7 Austria 101 Marko Arnautovic Relic - Triumph 10 Austria Marko Arnautovic Relic - Triumph Parallels 10 Austria 101 Aleksandar Dragovic Base Set - Terrace 95 Austria Cican Stankovic Base Set - Field Level 257 Austria David Alaba Base Set - Mezzanine 101 Austria David Alaba Base Set - Mezzanine Color Variation 101 Austria David Alaba Insert - Top of the Class 20 Austria Florian Grillitsch Base Set - Field Level 177 Austria Julian Baumgartlinger Base Set - Terrace 97 Austria Marcel Sabitzer Base Set - Terrace 98 Austria Marcel Sabitzer Insert - Equalizers 1 Austria Marcel Sabitzer Insert - Visionary 21 Austria Marko Arnautovic Base Set - Terrace 100 Austria Martin Hinteregger Base Set - Terrace 96 Austria Michael Gregoritsch Base Set - Field Level 217 Austria None Insert - Squads Team Logo 1 Austria None Insert - Team Crests 1 Austria Stefan Ilsanker Base Set - Terrace 99 Austria Stefan Lainer Base Set - Field Level 237 Austria Stefan Posch Base Set - Field Level 197 Austria Valentino Lazaro Base Set - Terrace 94 Austria Valentino Lazaro Insert - Visionary 22 Austria -
Number #9 in the TDF Top 50
From being a small boy, I have always been a huge fan of both football and professional wrestling and at around the age of 10-years-old, I came across a monthly magazine brought to newsagents from the makers of the world famous Sports Illustrated all about pro wrestling. It was simply named Pro Wrestling Illustrated. It was a publication I regularly read as well as Shoot and Match weekly magazines to feed my football addiction. In 1991, PWI began this new craze that instantly grabbed my attention more than no other magazine had before. They revealed the 'PWI 500'. The 'PWI 500' section in the magazine listed (in rank order) the top 500 professional wrestlers in the world that year. Counting down from 500, this revealed to me many, many talents that I have not discovered as of yet. This was released every year, and still to this day is the best selling edition of the magazine each year. I studied and read and read over and over again that edition in 1991 and I came up with an idea. What if Match or Shoot revealed the top 500 footballers in the world? Thinking back to 1991, I used to love to tune into the 'BBC Radio 1 Top 40' show every Sunday afternoon too... maybe I'm a tad obsessed with countdowns. Anyways, reflecting on the idea, I thought about it each year the 'PWI 500' was released. As years went on, I felt that this would have grown into a hugely successful plan, gaining great recognition with people in the game, possibly gained its own award ceremony on TV with the emergence and exposure SKY Television in the United Kingdom was just beginning to give to the game back then.