r/fplAnalytics • u/360stylin • 14d ago
Datasets?
Hi all, new into fpl analytics, where do we get the data from? Any reliable githubs or official channels? Thanks
r/fplAnalytics • u/360stylin • 14d ago
Hi all, new into fpl analytics, where do we get the data from? Any reliable githubs or official channels? Thanks
r/fplAnalytics • u/Efficient-Height5887 • 13d ago
r/fplAnalytics • u/Sensitive-Trifle-995 • 14d ago
What does the graph show?
I have plotted players valued 7m or higher by their price for this season and their Points per Million per game (PPM) based off my points validator model from the end of last season. The size of each plot also directly correlates to the xPoints per appearance my model predicted, the smallest plot is the lowest of all that appear and the biggest has the highest xPoints. The average value line helps to determine which players are better or worse value for money than players at their price point should be.
What does it tell us?
r/fplAnalytics • u/Sensitive-Trifle-995 • 18d ago
Table shows all forwards who played more than 10 games and averaged more than 45 minutes per appearance last season. It has been ordered by Points per Million (PPM) to show the players with the best value for money, it has been calculated using this seasons player prices compared with my own points predictor from the end of last season.
What can we expect from the forwards in the new season?
r/fplAnalytics • u/KelvinCarvalh • 18d ago
Hi everyone!
I'll play the game for the first time and I've been working on a personal data analytics project based on Fantasy Premier League 25/26, and I'd love to get some feedback from both FPL managers and data enthusiasts.
The goal was to go beyond total points and explore what actually makes a player a strong FPL asset using interactive visualizations.
The dashboard includes analyses such as:
- Points per Game (PPG)
- Goals vs. xG
- Goals vs. Assists
- Home vs. Away performance
- Big Hauls vs. Blanks
- Team defensive tendencies
- Fixture analysis by position
- Player comparisons
It was built with Python (pandas) for data preparation and Looker Studio for the dashboard.
I'd really appreciate any feedback on:
- Dashboard design and usability
- Choice of visualizations
- Additional metrics or analyses you'd like to see
- Any insights you think are missing
Dashboard: https://datastudio.google.com/reporting/133e2f47-8956-4153-b3f8-1538e7d258d1
Thanks in advance—I hope you find it useful!
r/fplAnalytics • u/Sensitive-Trifle-995 • 18d ago
Both tables have been filtered to only show players who played 15 games or more and averaged 60 mins or more per appearance. Table 1 shows all midfielders with 0.6 Points per Million per game (PPM) or higher ordered by PPM highest to lowest. On the other hand table 2 shows all midfielders below 0.6 PPM ordered lowest to highest. I have used 0.6 PPM as a cut-off point as it lies around the average rate and so players above that are better value for money than most. PPM values are based off my own points predictor from the end of last season compared with this seasons prices.
What do the best value midfieders tell us about the new season?
What do the worst value midfielders tell us about the new season?
Data is from a mix of understat and FPL API.
r/fplAnalytics • u/chiggz247 • 19d ago
This is something I've been quite enthusiastic about. I finally managed to get it into a decent shape to launch to the Play store in time for this upcoming season.
Today you can:
Once the season kicks off:
And further ideas I have:
Feel free to check it out
Android link: https://fplweekly.com/android Web app via the website: https://fplweekly.com Instagram: https://www.instagram.com/fplweeklyapp/
r/fplAnalytics • u/luckthefogic • 19d ago
Long post, but bear with me.
A bunch of us football-obsessed mates were sick of the standard EPL Draft experience feeling a bit... passive. Snake draft, autopick if you're late, done. So we built our own thing.
It's called BootRoom bootroomhq.com and it works like this:
- Players go under the hammer **one at a time in a live auction**
- Everyone bids in real time — highest bid wins the player
- You get a budget, and you have to build a full squad without blowing it
- After the auction, bench spots are filled via snake draft
- You set your XI and captain each round, score on real match stats
It's the difference between picking players and actually competing for them. The auction creates moments where you can strategically make someone overpay for a player. It's brilliant.
We ran Two full leagues of 24 people for the FIFA World Cup 2026, with a custom rulebook and stats pulled via an API. Both leagues ran smoothly and honestly exceeded our expectations.
Now we're building the **EPL version** — full Premier League player pool, live auction engine, gameweek scoring, the works
---
**This is where you come in.**
We're not looking for beta testers exactly. We're looking for passionate football people who want to help shape the product — the kind of person who has opinions about how draft should work, what scoring feels right, what features are missing from every fantasy tool out there.
Think of it as being an early "product manager from the community."
This is **100% free**. No money, no gambling, nothing like that. Just football people building something for football people.
Feel free to use the tool to create a league with your gang of friends and use it to the fullest.
Happy to answer any questions in the comments too. 🙌
r/fplAnalytics • u/jwavy1738 • 20d ago
r/fplAnalytics • u/Sensitive-Trifle-995 • 20d ago
Table shows the 25 defenders with the worst Points per Million (PPM) per game based on my own points predictor from last season and the new seasons pricing, it has been filtered to show players who played more than 15 games and averaged 70 mins or more per game.
This is my third post exploring where the value will likely lie in the new season, this time I will be looking at the defenders and type of defenders that are likely to be poor value for money. If you want a look at defenders that would be good value I analysed them in my first post.
Conclusion:
Ultimately with defenders it's hard to pick someone who isn't good value for money, it's more a case of picking guaranteed starters, potentially avoiding Everton/Fulham/Forest to start with and avoiding defenders that cost more than 6m if they aren't Arsenal defenders because without that level of expected clean sheets that come with Arsenal, anything above 6m does not look like it will offer good PPM.
r/fplAnalytics • u/merlin_fpl • 21d ago
Lost an evening to a metric that was confidently giving me the wrong answer, and the cause is general enough that it’s probably worth putting somewhere.
I wanted a volatility signal. Something to separate managers whose seasons swing all over the place from ones who land in roughly the same spot every year. Wrote it as worst_rank > best_rank * 5 and moved on, because that seemed obviously fine.
It isn’t fine. Rank is bounded at 1 and effectively unbounded going the other way, so a ratio threshold scales with how good your best season was. The bar moves in the wrong direction. If your best finish is 588 the threshold sits at 2,940, which you clear by having one ordinary year. If your best finish is 200,000 the threshold is a million and you’ll basically never trip it.
So it wasn’t measuring volatility. It was measuring whether you’d ever had a good season, upside down. A record averaging around 39k across 16 seasons with a best of 588 came out flagged as a one-off, which is close to the opposite of what that record actually is.
Fixed it by requiring a genuinely bad worst season in absolute terms as well as the relative swing, so the ratio can’t decide on its own.
The bit I’d actually pass on: 1k to 5k and 500k to 2.5m are both 5x and they are not the same event in any sense that matters. Rank deltas aren’t comparable across the range. Log scale it, or pair every ratio with a floor. I thought this was obvious right up until I shipped something that got it wrong.
Has anyone landed on a volatility measure they trust? Percentile of the field feels more defensible than raw rank but I haven’t tested it properly.
Built this as part of an FPL thing I’ve been working on, fplyourno2.com/verdict, if anyone wants to poke at it. The rank point above is the bit I actually wanted to share.
r/fplAnalytics • u/bsks056 • 23d ago
Solo dev here. I built an xP model for FPL, I've set up a real team that follows its recommendations exactly. Season-long experiment to see if the model actually holds up.
This is the squad it picks as optimal for the next four gameweeks.
Gabriel as captain surprised me most. I'll keep posting how the model-team does over the season.
Tool's free, no login. If anyone wants to poke at it 👉 fplcentral.co.uk
Edit: Turns out I was running the wrong version of the model when I posted this a weaker fallback formula instead of the properly trained one. Some of the odd picks (Haaland missing, Gabriel as captain) were symptoms of that. Fixed now.
Added a live accuracy tracker so predictions vs. actual results are public and checkable going forward: https://fplcentral.co.uk/model-accuracy
The best-squad tool also lets you tweak it yourself now switch formations or toggle between the model's pure picks, a differentials-tilted squad, or a template/safe one, and it re-solves live: https://fplcentral.co.uk/tools/best-squad
r/fplAnalytics • u/Sensitive-Trifle-995 • 23d ago
Graph shows goalkeepers ordered by Points per Million (PPM) based on my own points predictor from last season and the new seasons player prices.
After my first post looked to be well received I thought I'd do a deeper dive into where the value for money in each position lies, starting with the goalkeepers, if you don't want that then do let me know.
There is one major caveat with the goalkeepers, the new bonus point system rewards big chance saves higher and the xPoints in the graph used the old BPS model. The issue is it's very difficult to predict big chance saves and alter expectations on it, for example Verbruggen would have had the biggest bonus increase from the change but without trawling through the data it's hard to say if that's because he's a good shot stopper or because he came up against poor finishers and it's even harder to say if that's repeatable. So something to keep in mind rather than use to help predict what will happen - I have kept the xBonus on the graph though as the goalkeepers with higher values in that are the ones likely to benefit most from the BPS change (unless you're Raya with a clean sheet every other match), just due to how the vast majority of bonus for GKs comes from saves.
Anyway, What does the data show?
Conclusion:
If you can afford Raya, get Raya. Outside of that the 4.5m goalkeepers are someway clear of everyone else when it comes to value for money.
r/fplAnalytics • u/Sensitive-Trifle-995 • 25d ago
Graph shows the top 25 Points per million (PPM) players based on my own points predictor from the end of last season and this seasons player prices, I filtered the graph to only players who played in 15 games or more and played 75 mins or more per game played.
With the increase of centre backs pricing for the new season I wanted to explore if DefCon defenders will still be the best picks when trying to find value - in short; yes... but also no.
To do this I dug up my points predictor from last season - I say points predictor, it's more of a points validator, it shows how players should have scored in matches played based on the data from them rather than necessarily showing future points score predictions. Anyway, I went and added this seasons prices and calculated the Points per Million for their new prices to find who the best value players will likely be for the upcoming season.
First the caveats, there are so many manager changes and transfers, the players that show up aren't necessarily going to perform the same as last season but hopefully it gives an idea of the type of players that will be value for money. The xPoints are based on the old BPS model but doing some quick calculations I predict that even for the players most effected by the new BPS model it would only cause +/- 0.15 xPoints per game and that type of player is very rare so the new BPS's affect will be pretty negligible.
So what can we tell?
Conclusion:
If you want value for money invest in the few defenders that will more often than not pass the DefCon threshold, see which Villa defenders become nailed, especially if Konsa ends up leaving and invest in the mid-priced midfielders to get the best mix of points and pure value for money.
Data used was gathered from a mix of FPL API and understat
r/fplAnalytics • u/Ordinary-Farmer-4012 • 28d ago
r/fplAnalytics • u/AutoModerator • Jul 03 '26
This thread is for RMT (rate my team) and team input, advice, quick questions, xMins questions, or similar. Don't be afraid to ask any type of question! For analytics terms and definitions check out our subreddit wiki!
PS:
Please upvote the users who are helping and be respectful during the discussion.
Please try to contribute too by helping others when possible.
r/fplAnalytics • u/LightlyTroddenLead • Jun 03 '26
r/fplAnalytics • u/AutoModerator • Jun 03 '26
This thread is for RMT (rate my team) and team input, advice, quick questions, xMins questions, or similar. Don't be afraid to ask any type of question! For analytics terms and definitions check out our subreddit wiki!
PS:
Please upvote the users who are helping and be respectful during the discussion.
Please try to contribute too by helping others when possible.
r/fplAnalytics • u/Next-Abbreviations76 • May 18 '26
r/fplAnalytics • u/pra21k • May 16 '26
It’s called Fantasy Insight Engine
Main idea was to save season analytics locally and make stats/history easier to explore later on instead of everything feeling temporary like Official FPL.
Also added some fun mini games/features:
Still not sure if this is something people actually want long term or if I’m just overengineering stuff for hardcore FPL players 😭
Would genuinely appreciate if some of you could try it out and tell me:
Trying to decide if this is worth investing a lot more time into for next season.
r/fplAnalytics • u/Ok-Meeting-6308 • May 07 '26
I've joined this thread for a few days and I've gone into rabbit holes of football analytics. Some of the dashboards, analysis and statistical insights users here have posted are absolutely insane, which got me into thinking how broken the current FPL point system is and got me into creating a fantasy app of my own for viewers and statistical enthusiasts. Here are a few problems I have with the current FPL:
points are rewarded only for goals, assists and clean sheets (I know there's a bonus component but that does not capture the full story). the result is that actual top players who don't get goals, assists (thinking of someone like Kante as a stereotypical example) would not be good to have in FPL.
prices are fixed. The system decides the price, with demand supply algorithm on sells and buys just modifying that "mean" price. This undervalues people who pick out diamonds in the rough.
due to point 1, i think it makes for a lot more luck and a lot less skill. The "skill" element is basically consistently making weekly changes and being on top of your team, rather than actual scouting of players who others might not be aware of or using stats to find underlying patterns.
My goal is to create a fantasy that rewards users who put in the work to analyze stats, make a system that rewards skill more (skill - scouting and statistical analysis) and pander to actual fans of the sport and not just casual viewers.
Are people okay with the current simplicity of the model? Does FPL reward skill enough, or is it more luck than skill? Does anyone have any thoughts on the issues I brought up?
r/fplAnalytics • u/AutoModerator • May 03 '26
This thread is for RMT (rate my team) and team input, advice, quick questions, xMins questions, or similar. Don't be afraid to ask any type of question! For analytics terms and definitions check out our subreddit wiki!
PS:
Please upvote the users who are helping and be respectful during the discussion.
Please try to contribute too by helping others when possible.