So its almost upon us, and I’m way behind. I’m starting to re-work the data model and re build the dashboards to give me more stats. The idea is to have a team page which shows stats which can then be drilled down to the player level. The landing page will look like this. Note it is not finished.
The teams page will allow you to see the data from all four English leagues. This will give the option to look at stats for betting maybe. Remember its only the bookies that make the money 🙂
I did find a bug in the Footy data which meant I had to reload all the data fortunately I had built this functionality into my system, phew!
The Player data will give you stats to help with the Fantasy leagues. Over the coming days expect more updates as I get the data to where I need it.
So who is going to choose which players? What about the new players, Pepe for Arsenal, 35 goals in 74 games in Ligue 1 could be a good choice. I might take a risk on him.
Currently looking at the stats to pick my initial Fantasy League team, this means refining the data model. This will end up in Power BI, but as always I like to get the data correct first which limits the amount of wrangling I do.
Looking at the first four games shows some interesting stats. I included who is still in the Premiership as a few of the good starters were relegated or transferred. So, Will this help me make my decisions? It has certainly pointed me in the direction of who to look out for. A consideration is the tournaments that were played over the summer.
A few of the big hitters played in the African Cup of Nations or the Copa America so how will this affect the players? Only time will tell, I suspect it may have an affect later in the season.
Its fair to say I have an initial pool of 30 players but this could change based on new Players ie Newcastle buying Joelinton.
Over the coming days I will get the dashboards up and running and begin the final selections but the season kicks off.
I’m looking at last seasons early form for goalies, I know this doesn’t mean much but it gives me an indication of possible options. Last seasons early form keeper was Neil Etheridge from Cardiff, this was helped by two penalty saves in the first two games.
Just goes to show you don’t need the big keepers in the first few games 🙂 But some of these players have retired or been relegated so this is purely an indicator of what can happen.
I need to look at the data behind these stats so a new Power BI report is needed.
The next few weeks will be stats, stats and more stats but at least I have a draft team, which so far has changed many times.
And the new season is almost upon us. Last season I didn’t update the blog enough, but this season I intend to do at least one post a week 🙂
This weekend I intend to run some stats on early season form based on last season to help me pick my draft team so here goes another season of much hype which I hope will finish in some good placings in the fantasy leagues I enter.
Week 28 is upon us and things are hotting up. Liverpool are still top, just, and the fantasy leagues are getting close as well. I’ve been wondering when to use my wildcard, it was almost this week but I held off.
With 10 games to go after this game week I need to start planning when the chips will be used and who to select, especially with double game weeks coming along. I will add some more analysis and charts from Power BI in the coming days to show you what I have found.
I have also changed the Python ETL scripts, I feel I need to spend some time going over those with you as they are quite good now 🙂
Well, my 4 point hit in Game week 13 didn’t work out. Mind you there were quite a few players that let me down, so its onwards and upwards to GW14. I have modified the data model for the football data again and created some new dashboards. The mods were adding more data and fixing a few bugs so I’m hoping it gives me some form of advantage.
The new dashboards look like this.
This gives me a summary of goals, assists, overall minutes played etc.
I can also split by position.
There are some additional pieces of data I want to add to the charts like Total points to assist me in selecting my next transfers.
anyway, its back to the stats and working on the next dashboards 🙂
Week 13 is almost upon us and I have made some changes to the data model. The table below shows the top players overall based on the previous four weeks, but now it includes the probable result of the next game.
If we look at a player we can now see their opponent and the percentage of a probable home, away or draw result. Everton are showing as a 55% chance of a home win. Lets look at the actual stats.
Everton P6, W4, D1, L1, Scored 12, Conceded 6
Cardiff P5, W0, D1, L4, Scored 2, conceded 11
All of a sudden the 55% is looking good. This influenced my transfer this week. I had already done my free transfer but when I saw B.Silva was not playing I decided to go for Richarlison and take a four point hit, but I’m expecting a goal fest at Goodison park :).
I have done lots of work on the data model so expect some good charts over the coming weeks as now I can concentrate on the visuals.
In an earlier post I mentioned selling Salah and Aguero to free up funds, well, after some playing with stats I have predicted the season ending scores for the various positions. Currently this is in beta so subject to change. Here are my findings.
My current goalies will end up as 4th and 10th, so I can leave them for now.
I have three of the top six defenders.
I have three of the top six Midfielders
I have one of the top five forwards.
I also have a player that has hardly played so bench boost will be fun.
Even if I sell Salah or Aguero I cant get in the players I need, oh well, I could sell Salah and B.Silva and re-invest in Sterling and Mane. Decisions, I think I will wait till after this week.
I am expecting big things from Salah this week, considering Fulham have conceded 16 goals and Liverpool have scored 12 and Liverpool will want to bounce back from their midweek defeat I want to see 5, a Salah hattrick would be nice. Should I do a free hit and include Firmino and Mane for this week, now that’s a thought.
More details on how I got to these figures will be explained in the coming weeks.
The joys of deciding on transfers each week takes some time. The decision this week is do I sell one of the big players to free up funds or stick with them. Not sure. Lets look at an option.
Sell Salah and Aguero and buy someone else, but whom. Both these players have home fixtures, Liverpool against Fulham and City against United. The stats are also showing both players in the upturn so it may be best to wait another week, especially as international week is coming up.
I need to look at the data in more depth, I will update the blog tonight with more info and also my real options on whom I’m going for.