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He's playing in a position where experience is incredibly important to having dominant and consistent performances. I think for a 21 year old CB in the top flight, he's doing a very good job and regardless of any mistakes - he's playing well beyond how I'd expect a pretty young player in a defense for a top side. Young defenders have it pretty rough at a top club, because mistakes are under a microscope - while young attacking players making mistakes don't make as many mistakes that are as costly (in terms of the likelihood of giving up a goal). I think he's going to end up a very good defender, barring any horrible injury problems throwing his career off. But with young defenders, mistakes - and sometimes costly ones - are going to happen. It's part of their development, because they need to learn from those mistakes and how to prevent them and not let the criticism and pressure from making mistakes get to them. A little patience and realism with young players, especially young defenders, is important if you actually want to see Chelsea develop players that make it into the first team. Otherwise you'll see shite like getting rid of players with promise to really kick on leave, go somewhere else and shine, and then be a reminder of what could have been.

Are you going to offer any more of your opinions on other clubs and players, for example Liverpool or more specifically Mo Salah?

After watching that I was half tempted to go and buy a drone to try some 'homebrew' activities out. But it will never be a reality based on the kind of AI development that we currently have. No system has that much horsepower to do what the video in the space suggested ... not yet atleast. But what I have seen is a system that can laugh at jokes and use secondary comprehension to make sense of sentences that have a totally different meaning to what is actually written (on your garden variety processor). These kinds of macro-advancements in AI lead to much better usage when it comes to searching and making recommendations on what kind of condom is best suited for bedding the partner of your dreams but crumble horribly when trying to make tactical strike decisions. There's just too much data involved to be able to provide a precise strike option and the other factor that targets in motion cause the system even more of a headache because the stabilizing component requires to be in constant calculation mode. As was mentioned just above its mostly hocus-pocus right now but I'd like to imagine that with the advancements in robotics and the nano-form-factor we are seeing in prosthetic science that the day isn't very far where making tactical strike-engine based AI that uses robotic mobility to deploy weapons that can neutralize threats in the war field isn't very far away. 10 years ago if you lost your leg you were granted a stump and a captain hook walking style for the rest of your life. Try telling that to the Robotics division of MIT, Boston Dynamics or even the guy in Israel who built the mine detector system today and you'd be laughed at. The system would also need time to learn and make ALOT of mistakes but if you're interested in seeing a system gain advance in a closed-space watch this real-life video. Granted its a game but what it does with its learning is astounding.

Correct, that's ground effect, but it comes with its own problems. The more a car relies on ground effect, the likelier that the driver will lose control completely when he drives above a bump. If you combine bumpy track surfaces with a lack of run off areas and gross negligence in general (mostly Italian tracks), you are going to endanger the drivers.

Forgot the Palace defeat and West Ham defeat.