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Good evening and welcome to the continuation of our series. Choosing a team for a game week can be hard. Sentiments and personal preferences can cloud ones judgement. There have been many FPL sites that try to predict the team for the week but there is usually a large discrepancy. My plan in doing this article is to compare human analysis (totw from experts on different sites) to AI analysis (totw from bots on different sites). Now these sites are expected to churn out different teams every week irrespective of transfer limitations. The difference is that the experts bring their teams based on strict FPL formation and price while the bots simply bring out the best set of players from their algorithm projections. For this study, I'll be using 6* sites. 3 have bots (fantasy football fix, first and assist) while 3* are human experts (fantasy football scout, geek and the official fantasy app scout). The picture below is an excel representation of the data gotten. I did

Good morning and welcome to the review of our bots vs experts’ article.  These review(s) will help us determine if the bots options are preferable to the experts or if human judgement trumps their call. It will also help us keep track of the performance of these sites over the course of the season. The previewing article can be found here   for cross checking. Thanks.  

Good morning and welcome to this week’s edition of this series I would be doing hopefully till the end of the season. I call it the transfer market analysis; the good, bad and the undecided. Here I look at the top 5 transferred in and out players at the end of the last day of game week matches and TRY to work out if it will be a hit or miss. Those who I feel don’t clearly fall into any category fall into the undecided group. Ill also be giving my reasons for calling it/them hits or misses and we can check out how wrong or right I was at the end of the week. The table for the TRANSFERS IN is shown below. Surprisingly, four of the top 5 transferred in this week are away in their next EPL fixture and 3 of them play in the FA cup at the weekend. Alli’s 49,244 new owners have put him at the top of the list. Form and fixture combine to justify this decision as alli seems unstoppable and sunderland look like willing opponents. He was part of the top transfers last

Good evening and welcome to the continuation of our series. Choosing a team for a game week can be hard. Sentiments and personal preferences can cloud ones judgement. There have been many FPL sites that try to predict the team for the week but there is usually a large discrepancy. My plan in doing this article is to compare human analysis (totw from experts on different sites) to AI analysis (totw from bots on different sites). Now these sites are expected to churn out different teams every week irrespective of transfer limitations. The difference is that the experts bring their teams based on strict FPL formation and price while the bots simply bring out the best set of players from their algorithm projections. For this study, I'll be using 5 sites. 3 have bots (fantasy football fix, first and assist) while 2 are human experts (fantasy football scout and geek). The picture below is an excel representation of the data gotten. I didn't delve into stats. Just col

Good morning and welcome to a new series I would be doing hopefully till the end of the season. I call it the transfer market analysis; the good, bad and the undecided. Here I look at the top 5 transferred in and out players at the end of the last day of game week matches and TRY to work out if it will be a hit or miss. Those who I feel don’t clearly fall into any category fall into the undecided group. Ill also be giving my reasons for calling it/them hits or misses and we can check out how wrong or right I was at the end of the week. The table for the TRANSFERS IN is shown below. Top 5 transferred in with the tabular analysis Kane tops the transfers in chat with 94,976 in and has undergone a price rise but despite scoring a hat trick in his last game, he wasn’t previously much on form and faces a hard fixture next according to the ticker * so despite it feeling like a success, I’m still undecided on that one. Lukaku is a complete good! Form and fixtur

Good morning and welcome to the review of our bots vs experts’ article.  These review(s) will help us determine if the bots options are preferable to the experts or if human judgement trumps their call. It will also help us keep track of the performance of these sites over the course of the season. The previewing article can be found here   for cross checking. Thanks. FFFIRST had returns for 2/3 of their goalkeeper picks, 4/5 of their defence picks, 5/7 of their midfield picks and 3/5 of their forward picks giving a 14/20 or 70% correlation rate. FFFIX came in with a perfect 3/3 on the goal keepers, 4/5 on defenders, 5/7 on midfielders and 3/5 on forwards to give a marginally better

Good morning and welcome to the continuation of our series. I want to apologize for the hiatus, the Christmas break was a busy time with game weeks coming in thick and fast and sites updating late plus I had to travel for family re-union and was faced with very poor network coverage. Also this week’s piece came relatively late and ill like to apologize. Hope you find this useful. Choosing a team for a game week can be hard. Sentiments and personal preferences can cloud ones judgement. There have been many FPL sites that try to predict the team for the week but there is usually a large discrepancy. My plan in doing this article is to compare human analysis (totw from experts on different sites) to AI analysis (totw from bots on different sites). Now these sites are expected to churn out different teams every week irrespective of transfer limitations. The difference is that the experts bring their teams based on strict FPL formation and price while the bots simply bring out