Tactics have been transmitted to the players, set pieces have been prepared (or more likely not..) and opponents have been thoroughly studied. Then it’s game time and the manager sees his influence slip out of his hands. There seems to be only so much he can do during the 90 minutes. Walking impatiently along the sideline, shouting at the fourth official and handing notes to throw-in takers is probably not going to do it, but one of the obvious things he can do to try to impact an on-going game is to bring on substitute players. Little has been written on this matter, so here is my (first) try.
La carrera de Edgardo Bauza, nuevo DT de la selección de Argentina, como entrenador:
The Copa America 2016 is set to begin on Friday June 3 and here you’ll find everything (probably not EVERYthing, but still some very interesting things) you want to know about the oldest continental football tournament there is.
This blog was written on 26/4/2015, after Round 35 of the Premier League 2015/16.
You know that situation when you leave the pitch when your team is winning 2-1? At the end of the 90 minutes the opponents have turned everything around and won the match 2-3. Stubborn as you are you tell your manager and teammates that you DID win the game, having left the field in a winning situation.
Taking those situations into account we can calculate the effectivity of each player in his team: how many goals does his team score when he is on the pitch compared to when is not present? And what impact does he have on the total goal difference?
The most competitive World Cup 2018 qualifying tournament is set to continue tomorrow (24/3/2016). Those fixtures will be played the upcoming days:
All (or at least a lot) statistics for Messi’s first 500 career goals. He scored his 500th at the Camp Nou against Valencia on 17/4/2016.
Here’s a preview for Round 30 of the Premier League, which we’ll be played over different weeks.
In this blog I give probabilities for games in the Argentine Primera División, show a predicted league table based on those probabilities and give a list of bets that corresponds to the given probabilities (note: you are free to use the ‘tips’, but I am not using them myself!).
I have replicated an existing prediction model and I am optimizing it for the Argentine league. The model is the so-called pi-ratings model by Constantinou and Fenton (2013). In this article they describe a system in which they assign probabilities to match outcomes (home win, draw or away win) based on historic results.