mplsoccer_dev @mplsoccer_dev Twitter profile

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mplsoccer_dev

@mplsoccer_dev

2 years

What is your favourite viz crafted in mplsoccer?

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@Ginaffm

@shalulabby

@TheGrad6

@shauna_howell1

@BrianFe31037104

@zituhaorexnanda

@theramdanu

@JAESADORA

@A_Tooshi_

@s_h0Ko

@AngieInSE

@RosekamiYT

@fr__dge

@reiner_braun_dz

@lovethaimodel

@sunnylumama

@stw_pdg

@surfy_papa

@MitchellTricke2

@TravisBarnhart6

@Zithaadoll_

@CodefiWorks

@stfr_kaz

@BrickinfoReport

@shishirmehrotra

@PonchoRuiz8

@Koki_Agarwal

@Super_Shery

@man_versus_coin

@invisibleme1210

@ca_darlin

@Linsoul_JP

@torres14x

@FloridaStateLg

@privatesuckclub

@willvrag

mplsoccer_dev

@mplsoccer_dev

2 years

🧵Free data for getting started in football

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mplsoccer_dev

@mplsoccer_dev

2 years

🧵Data visualization from zero to hero

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mplsoccer_dev

@mplsoccer_dev

1 year

Today's release makes it super easy to plot formations

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mplsoccer_dev

@mplsoccer_dev

25 days

✅️ Finally it works 👀 Coming soon

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mplsoccer_dev

@mplsoccer_dev

6 months

This week I went to the Opta forum. It was amazing and a bit scary how many people are using mplsoccer at clubs. One analyst asked how I designed it so a quick thread. 1/

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mplsoccer_dev

@mplsoccer_dev

7 months

Get up and running with @StatsBomb afcon data in no time. I coded this on my phone. It's just too easy with mplsoccer.

StatsBomb

@StatsBomb

7 months

StatsBomb Release Free 2023 African Cup of Nations Data The first time we've released event data from Africa's continental tournament to the public

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mplsoccer_dev

@mplsoccer_dev

22 days

🎯 Almost done

mplsoccer_dev

@mplsoccer_dev

25 days

✅️ Finally it works 👀 Coming soon

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mplsoccer_dev

@mplsoccer_dev

2 months

10 young talents from my outlier analysis from this weekend Lorran, Flamengo 🇧🇷 1/10

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mplsoccer_dev

@mplsoccer_dev

11 months

Let's try recreate this visual step by step.

Barçalytics

@Barcalytix

2 years

Kounde is a very well-rounded defender with no glaring weakness and he is only 23. He primarily played as a RCB for Sevilla in the last season. He is excellent on-the-ball, which is very important for Barca considering their amount of possession. Looking forward to his debut.

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mplsoccer_dev

@mplsoccer_dev

21 days

⚽️ New season 🚨 New release

mplsoccer_dev

@mplsoccer_dev

25 days

✅️ Finally it works 👀 Coming soon

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mplsoccer_dev

@mplsoccer_dev

2 years

Working on a tutorial thread for how to build these more complex viz.. as people keep asking me. Slow progress 👀

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mplsoccer_dev

@mplsoccer_dev

4 months

11. soccerdata (scrape data)

Liam Henshaw

@HenshawAnalysis

4 months

Python Packages to explore for football analytics: 1. mplsoccer (football viz) 2. statsbombpy (statsbomb package) 3. openai (AI) 4. numpy (math) 5. scikit-learn (machine learning) 6. matplotlib (data viz) 7. bs4 (web scraping) 8. requests (web scraping) 19 pandas (data cleaning)

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mplsoccer_dev

@mplsoccer_dev

4 months

Anyone interested in a video call walk-through of the mplsoccer code?

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mplsoccer_dev

@mplsoccer_dev

1 month

🚀 Mini update v1.3.0 Plot standardized centered pitches

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mplsoccer_dev

@mplsoccer_dev

6 months

🚀 A little mplsoccer update 🥌 adds a spot_type option for penalty/ center spots 🥌 adds exclude_nan to label_heatmap

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mplsoccer_dev

@mplsoccer_dev

8 months

Football analytics has gone global. mplsoccer visitors come from nearly everywhere 🌍

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mplsoccer_dev

@mplsoccer_dev

6 months

I uploaded a small library - optasoccer - for loading f24 data into pandas dataframes with named qualifier columns.

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mplsoccer_dev

@mplsoccer_dev

1 year

Experimenting with an alternative to pass sonars. Distance increases further out. Thoughts?

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mplsoccer_dev

@mplsoccer_dev

2 months

. @KubaMichalczyk requested this new pitch type for plotting scaled pitch coordinates. Would anyone else find this useful?

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mplsoccer_dev

@mplsoccer_dev

2 years

Finally cracked how to create beautiful spaced grids using @matplotlib subplots

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mplsoccer_dev

@mplsoccer_dev

10 days

Agreed here are my viz rules

McKay Johns

@mckayjohns

10 days

When creating data visualizations optimize for simplicity rather than trying to make it as complex as possible to fit more information onto the chart

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mplsoccer_dev

@mplsoccer_dev

23 days

1️⃣ example down 1️⃣ more to do

mplsoccer_dev

@mplsoccer_dev

25 days

✅️ Finally it works 👀 Coming soon

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mplsoccer_dev

@mplsoccer_dev

20 days

The new sonar API allows you to set the bin edges so you can do things like this 😉

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mplsoccer_dev

@mplsoccer_dev

8 months

🔹matplotlib is low level 🔹mplsoccer medium I think there is definitely a place for a high level library doing: 🔸shot maps 🔸pass networks 🔸... With a single line of code

Athal - ⚽️ Analytics

@athalakbar13

8 months

After trials and errors, finally, I have published my first Python package for Football ⚽️ Data Analysis! 🚀 Read the thread for more details.

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mplsoccer_dev

@mplsoccer_dev

21 days

I really like this viz. Often the extra juice you get out of models is feature engineering and this explains it really well.

StatsBomb

@StatsBomb

21 days

ICYMI: Upgrading Expected Pass (xPass) Models An article from our data science team explaining how they've been able to bring more accuracy and better results to our market-leading xPass model by incorporating StatsBomb 360 player positioning data 🔽

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mplsoccer_dev

@mplsoccer_dev

11 months

mplsoccer 🚀🌕

Ben Griffis

@BeGriffis

11 months

🚨🚨 Python package update I have a treat for y'all today! I've added a new function to my python package. It is code to create a post-match dashboard for a given match on Whoscored Please see this link for more info on the package 👉

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mplsoccer_dev

@mplsoccer_dev

1 year

🎯 pass sonars reinvented. The rings are 10 yard increments.

mplsoccer_dev

@mplsoccer_dev

1 year

Experimenting with an alternative to pass sonars. Distance increases further out. Thoughts?

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mplsoccer_dev

@mplsoccer_dev

1 year

📌 Tip 📌 How to plot completion percentages on pitches 1/4

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mplsoccer_dev

@mplsoccer_dev

1 year

* sneak peak * Formations coming soon to mplsoccer.

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mplsoccer_dev

@mplsoccer_dev

2 years

Stumbled upon this repo with loads of notebooks for xT, xG, NMF, pass sonars & networks.

GitHub - JPManuel/football_analysis

Contribute to JPManuel/football_analysis development by creating an account on GitHub.

github.com

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mplsoccer_dev

@mplsoccer_dev

1 year

Not sure if many people know, but bin_statistic returns the grid cell for each event so you can identify all passes that start in a cell. I am expanding it to cover angle too for sonars.

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mplsoccer_dev

@mplsoccer_dev

1 year

Working on a @duckdb @StatsBomb data loader as side project. Just uploaded a first draft of the SQL. Spoiler it's fast ⏩

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mplsoccer_dev

@mplsoccer_dev

10 days

💜 football is like a graph... players are nodes, passes are edges.. so it makes sense to try graph networks.

Joris Bekkers

@unravelsports

10 days

🌀 𝐩𝐢𝐩 𝐢𝐧𝐬𝐭𝐚𝐥𝐥 𝐮𝐧𝐫𝐚𝐯𝐞𝐥𝐬𝐩𝐨𝐫𝐭𝐬 I’m thrilled to announce today marks the release date of my very own open-source Python package! 𝐮𝐧𝐫𝐚𝐯𝐞𝐥𝐬𝐩𝐨𝐫𝐭𝐬 is designed to transform raw sports data into meaningful insights. 🔗

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mplsoccer_dev

@mplsoccer_dev

1 year

Just reviewing an awesome pull request from @ChicagoDmitry that will add formations to mplsoccer. Anything missing or incorrect?

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mplsoccer_dev

@mplsoccer_dev

6 months

I'm at #OptaForum tomorrow 👋🏼. Found out there are a lot of users of mplsoccer in the industry. Please say hello if you want to help me finish the pass sonars that I have been sitting on for a few years 😅

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mplsoccer_dev

@mplsoccer_dev

8 months

I've also heard the creators are pretty awesome 🤣

Liam Henshaw

@HenshawAnalysis

8 months

Using Python for football analysis? Use mplsoccer because: • Easy visuals in few lines of code. • Dive into heatmaps, pass maps, shot charts, and more. • Customise plots. • Compatible with StatsBomb, Wyscout, and other data formats. • The supportive community!

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mplsoccer_dev

@mplsoccer_dev

1 year

So who is up for the challenge!

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mplsoccer_dev

@mplsoccer_dev

2 years

🧡 the visuals. Here is a way to use mplsoccer's in-built heatmap instead:

Son of a corner

@sonofacorner

2 years

NEW VIZ | Contested zones in Serie A 🇮🇹 This week I replicated one of @petermckeever 's amazing visuals in @matplotlib . Where on the pitch are teams touching the ball more than their opponents in open play? ⚽ Code:

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mplsoccer_dev

@mplsoccer_dev

6 months

So who's teaching a course using mplsoccer? Is that why downloads spike up in Feb?

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mplsoccer_dev

@mplsoccer_dev

11 months

Some takaways from the StatsBomb conference

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mplsoccer_dev

@mplsoccer_dev

2 months

👀 🌊 ོ

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mplsoccer_dev

@mplsoccer_dev

1 year

🆕 example for alternative pass sonars

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mplsoccer_dev

@mplsoccer_dev

1 year

I am going to the StatsBomb conference this year if anyone wants to meet up there 💬🗨️

StatsBomb

@StatsBomb

1 year

Just two weeks to go until the 2023 #StatsBombConference at Wembley Numerous networking opportunities and a total of 23 talks across the two stages from a range of experts in the industry A limited number of tickets are still available here 🔽

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mplsoccer_dev

@mplsoccer_dev

1 month

👀

Fabrizio Romano

@FabrizioRomano

1 month

🔵🇵🇾 Brighton are set to complete Diego Gomez move today as Inter Miami have accepted fee in excess of £10m for the Paraguayan talent. Clubs expected to get deal signed and sealed this week.

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mplsoccer_dev

@mplsoccer_dev

1 year

⚡ New release ⚡ Formations are finally here!

Andy Rowlinson

@numberstorm

1 year

🚀 Release mplsoccer 1.2.1 📸 image formations 🔡 text formations 🔴 scatter formations 🏟️ pitch formations Collaboration with @ChicagoDmitry

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mplsoccer_dev

@mplsoccer_dev

6 months

Following up a feature request from the Opta forum.. a custom heatmap. What would you call this heatmap, which extends the positional one?

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mplsoccer_dev

@mplsoccer_dev

6 months

Another small update to mplsoccer ⚽️ @RealFevrScout noticed the 424 formation was a bit wrong so it's now fixed ⚽️Added flip_side to change the coordinates to the other side of the pitch

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mplsoccer_dev

@mplsoccer_dev

1 year

Alternative style for pass networks added by @francescozonaro

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mplsoccer_dev

@mplsoccer_dev

1 year

Statsbomb have released another season of open-data 🚀

mplsoccer_dev

@mplsoccer_dev

2 years

🧵Free data for getting started in football

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mplsoccer_dev

@mplsoccer_dev

2 months

The penalty spot is 11m from goal and ~78% are converted. What distance from goal would lead to a 50% chance. And would it be more fun?

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mplsoccer_dev

@mplsoccer_dev

4 months

I am testing adding pass sonars to mplsoccer.. it seems really slow to plot multiple inset axes.🐢

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mplsoccer_dev

@mplsoccer_dev

2 years

Love seeing these posts in different languages. mplsoccer has been picked up all over the world.

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mplsoccer_dev

@mplsoccer_dev

2 years

☄️how to use wedges and comet lines in @matplotlib axes.

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mplsoccer_dev

@mplsoccer_dev

15 days

My original roadmap is complete. Is there anything still missing from mplsoccer?

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mplsoccer_dev

@mplsoccer_dev

2 years

@Wyscout open-data. Including big-5 leagues for one season.

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mplsoccer_dev

@mplsoccer_dev

1 year

🚀 Mini update 1.1.11 🚀 @Flosch1006 adds the @impect_official pitch type. Thanks for the contribution!

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mplsoccer_dev

@mplsoccer_dev

2 years

Hello 1000 followers 👋. 🔸I develop mplsoccer. 🔸I share mplsoccer content. 🔸I am here to help with any mplsoccer queries.

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mplsoccer_dev

@mplsoccer_dev

7 months

🐐it wouldn't have of taken off so much without @mckayjohns tutorials too 🙌🏼

McKay Johns

@mckayjohns

7 months

As I've been coding the lessons for the complete football analytics course I've been working on I had forgotten how awesome mplsoccer truly is for a beginner. In about 15 lines of code, I can get a pass map plotted @mplsoccer_dev and everyone who's working on it = 🐐

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mplsoccer_dev

@mplsoccer_dev

1 year

I google this every time I need it 😂

mısra turp

@misraturp

1 year

Some Pandas functions I use very often 👇 1. Set Pandas max_columns or max_rows option to None to see all your columns/rows when you print your dataframe.

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mplsoccer_dev

@mplsoccer_dev

2 months

Wonder if they use mplsoccer👀

StatsBomb

@StatsBomb

2 months

New Free Webinar: How to use StatsBomb free data in Python Join us on Thursday July 18 2024, 16:00 BST, and discover how to load, analyse, and create visualisations with our free datasets Register here:

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mplsoccer_dev

@mplsoccer_dev

2 years

🍬 update to matplotlib 🍪 mix and match subplot mosaic axes 🍦import style sheets direct from packages

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mplsoccer_dev

@mplsoccer_dev

2 years

@StatsBomb open-data, including Arsenal invincible season and the Messi archive.

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mplsoccer_dev

@mplsoccer_dev

19 days

⭐️3⃣8⃣7⃣ ⭐️

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mplsoccer_dev

@mplsoccer_dev

4 months

Forgot about this and came back to 9 yeses! 🤩

mplsoccer_dev

@mplsoccer_dev

4 months

Anyone interested in a video call walk-through of the mplsoccer code?

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mplsoccer_dev

@mplsoccer_dev

6 months

I’m a bit stuck with sonars. I think there are three possible layouts a) grid of sonars b) team formation of sonars c) average position sonars b) and c) are just player sonars at x/y coordinates. Have I missed anything?

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mplsoccer_dev

@mplsoccer_dev

16 days

Anyone tried the new Sonars yet?

mplsoccer_dev

@mplsoccer_dev

21 days

⚽️ New season 🚨 New release

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mplsoccer_dev

@mplsoccer_dev

1 year

Poll 📈 If I added some custom heatmaps to mplsoccer. How should I do it?

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mplsoccer_dev

@mplsoccer_dev

2 years

One of my favourite books by @jakevdp includes a chapter on @matplotlib

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mplsoccer_dev

@mplsoccer_dev

5 months

It’s time to get rid of these ridiculous penalties 🧵

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mplsoccer_dev

@mplsoccer_dev

2 years

Idea for using @StatsBomb data. You are Sir Alex Ferguson in the 2009 Champions league final. What tactics do you use to beat Barcelona?

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mplsoccer_dev

@mplsoccer_dev

10 months

Cool crossover to another sport 🏀⛹️🏀

gaussianhoops

@gaussianhoops

10 months

#Monaco Mike James performing on a high level in #Euroleague this season. Rankings in a radar chart + shooting in a shot chart. Radar chart inspiration by statsbomb, python support by @mplsoccer_dev

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mplsoccer_dev

@mplsoccer_dev

2 years

@UtdArena I provide a Python library for visualizing ⚽ data.

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mplsoccer_dev

@mplsoccer_dev

2 years

@sonofacorner has been killing it with his latest tutorials for @matplotlib

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mplsoccer_dev

@mplsoccer_dev

2 months

mplsoccer 🤩

Ricardo Alves

@TheRicardoAlvez

2 months

Attending to @StatsBomb webinar. There's an example of how you can do it with their open data

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mplsoccer_dev

@mplsoccer_dev

2 years

You can't go wrong with this masterclass from @petermckeever

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mplsoccer_dev

@mplsoccer_dev

5 months

Data science is so vast so I focus on learning just what I need right now. I wanted to trade mark just in time learning.. but it turns out its already a thing. 😇

Just-in-time learning - Wikipedia

en.m.wikipedia.org

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mplsoccer_dev

@mplsoccer_dev

6 months

The first commit of code was over five years ago, and it dumped a single notebook. It was even called fbplot back then

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mplsoccer_dev

@mplsoccer_dev

2 years

Good news @p_robberechts put out a new version of soccerdata... which makes it easier to get the big 5 player league data.

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mplsoccer_dev

@mplsoccer_dev

2 years

@p_robberechts Soccerdata for scraping data from multiple sources.

GitHub - probberechts/soccerdata: ⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEig...

⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored. - GitHub - probberechts/soccerdata: ⛏⚽ Scrape soccer dat...

github.com

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mplsoccer_dev

@mplsoccer_dev

6 months

Clear docs were super important, but even more important was @mckayjohns who started making his awesome videos that catapulted the library to way more people.

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mplsoccer_dev

@mplsoccer_dev

6 months

How do you make carries data from the opta events?

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mplsoccer_dev

@mplsoccer_dev

6 months

More recently @HenshawAnalysis @jonollington and @BeGriffis have helped spread the word. I am blown away by how many people were using it at Opta Forum as I had no idea🤯. Thank you and please tell me if there are bugs or any features that are missing.

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mplsoccer_dev

@mplsoccer_dev

1 year

Let's see if someone manages to build mplsoccer in Excel. I think the dependencies will all be there 🤪

Guido van Rossum

@gvanrossum

1 year

Yeah, so I helped the Excel team with this. Excited that it's out!

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mplsoccer_dev

@mplsoccer_dev

2 years

My viz process 📈 exploratory analysis 🔸find key points 📚 arrange a story - pyramid style so most important points 1st 🗑️remove chart junk 📢 add readable annotations to form a story

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mplsoccer_dev

@mplsoccer_dev

1 year

Who else designs on paper? I've had some code to do sonars for a while, but not sure how to do the API

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mplsoccer_dev

@mplsoccer_dev

3 months

Fantastic resource

Devin Pleuler

@devinpleuler

3 months

Pushed some new sample code to my Soccer Analytics Handbook, focused on tracking data. Including: - Fitting and clustering Bezier curves to player runs - Plotting player confidence regions

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mplsoccer_dev

@mplsoccer_dev

5 months

Anyone talented enough to draw a football boot and shirt marker as a SVG?

Nicola Borghi

@NicoBorghi

5 months

As a member of the PASTA Collaboration, I must thank you for supporting our #pastamarkers project! We also thank the reviewers of our paper: . If you have suggestions, such as missing pastas, don't hesitate to open an Issue here:

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mplsoccer_dev

@mplsoccer_dev

2 months

Yamal is so young he breaks my axis (almost)

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mplsoccer_dev

@mplsoccer_dev

6 months

Checking my event stream data works and found this pretty crazy sequence with 2 goals in 30 events. KAA Gent vs Cercle Brugge

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mplsoccer_dev

@mplsoccer_dev

1 month

Motivate me to finish the pass sonars. ⚽️📡

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mplsoccer_dev

@mplsoccer_dev

2 years

You might want to learn about @matplotlib object orientated interface.

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mplsoccer_dev

@mplsoccer_dev

2 months

Conor Bradley, Liverpool 10/10

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mplsoccer_dev

@mplsoccer_dev

2 years

@MetricaSports tracking data from 3 matches

GitHub - metrica-sports/sample-data: Metrica Sports sample tracking and event data

Metrica Sports sample tracking and event data. Contribute to metrica-sports/sample-data development by creating an account on GitHub.

github.com

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mplsoccer_dev

@mplsoccer_dev

7 months

If I did a presentation on mplsoccer. What would be interesting topics for you?

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mplsoccer_dev

@mplsoccer_dev

2 years

@sonofacorner I have some old code here:

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mplsoccer_dev

@mplsoccer_dev

7 months

You can also install @mplsoccer_dev via conda-forge conda install mplsoccer

McKay Johns

@mckayjohns

7 months

Creating a football pitch in Python is super easy thanks to @mplsoccer_dev and the wonderful mplsoccer package they've created Here's a little tutorial on how to do it

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mplsoccer_dev

@mplsoccer_dev

6 months

Finally @Soccermatics started teaching his awesome soccermatics course and used mplsoccer. I've no doubt he's now trained a big chunk of the new industry how to do football analytics, and spread mplsoccer's use. I even heard from @patricklucey that he uses it too for teaching.

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mplsoccer_dev

@mplsoccer_dev

6 months

I think a big part of the early success was just getting 1 or 2 super users to test things out and feedback with problems. @ThatGarateyjc was the first user and we made this graphic of @berylylubala (Bez) it was called mplsoccer at this point, a callout to @Torvaney 's ggsoccer.

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mplsoccer_dev

@mplsoccer_dev

1 year

Another spin on radars (with code) 📡🎯

JK

@_JKDS_

1 year

🆕📊 New season, new radar style! Like standard radars, the "swarm radar" can be used to quickly profile, assess or compare players. But it also aims to give deeper context by displaying the distributions of metric scores amongst the pool of comparison players (1/3)

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