Few Hearts were broken few still live. No matter who wins, the game will still make me thrill. Fifa world cup 2018 has become one of the highest goal scoring world cups in history. No matter which country is playing, the moment those 11 players step on the field, people get connected to them emotionally. While watching them we share their joy, fear, and excitement through the expression conveyed by them.

The World Cup 2018 is all over. Germany was kicked out in the group stages, Brazil was beaten by Belgium, football didn't come home to England, Croatia with its population of four million people reached the final for the first time ever, only to lose to France in the end. Beyond being glued to our screens to watch the action on pitch, we've been looking at what newsrooms are doing off-pitch to cover the competition… with automation and artificial intelligence. Fox Sports (US) teamed up with IBM Watson to make AI-powered highlight videos, French publication Le Figaro created automated visual summaries, and The Times (UK) launched its very own World Cup Alexa Skill. The US didn't qualify for the World Cup this year, but that didn't stop Fox Sports from airing all 64 matches and teaming up with IBM Watson to create the World Cup highlight machine.

Put "female football fan" into a search engine and the image results are a stream of attractive young women in tight shirts and, sometimes, no shirts. Tired of sexualisation and misrepresentation, some fans have decided it's time to level the playing field. "These images represent everything that's great about this game - how many different kinds of women go to matches and support. We need this realness," says Emma Townley, from online community This Fan Girl. She's talking about five images of female England fans taken ahead of this World Cup, which she hopes will start replacing photos of scantily-clad female fans in search engine results.

In this study, we predict the outcome of the football matches in the FIFA World Cup 2018 to be held in Russia this summer. We do this using classification models over a dataset of historic football results that includes attributes from the playing teams by rating them in attack, midfield, defence, aggression, pressure, chance creation and building ability. This last training data was a result of merging international matches results with AE games ratings of the teams considering the timeline of the matches with their respective statistics. Final predictions show the four countries with the most chances of getting to the semifinals as France, Brazil, Spain and Germany while giving Spain as the winner. The objective of this study is to build a predictive model that will allow us to make good predictions for the coming World Cup 2018 so we looked for dataset with historic data for match results, for this purpose we chose a dataset from Kaggle with data of almost 40,000 international matches played between 1872 and 2018.

England fans know the drill all too well - the national team heads into a major international football tournament having qualified with a near-perfect record. Hopes are high, but then… well, you know what happens - lacklustre performances or penalty shoot-out heartbreak, followed by an early flight home. So what really determines the success or failure of a team going into a major international football tournament like the World Cup? Is it a side's quality (class) or its recent performances (form)? Reality Check has teamed up with the BBC's statistics department to try to answer one of the biggest debates in football - how much does form matter? To do this, we built a computer program that predicts football results by analysing ratings data.