how to obtain the dataset from Understat in the first place?

For a sophomore with no prior experience, will it take more time than usual to balance academics with learning Python and statistics?

Appreciate the video

nigga wash your hair

can you post a video about how to use the statsbomb for a really new guy of performance analysis😂😂

thank you so much, without you I won't be able continue my football analysis project

after writing this code, I still get random values

Hey, quick question, do you know if there is an API for NCAA D2 and D3 sports?

Keep it up bruh

how to get the csv file ?

Hi, trying to follow this. But when I type the first command 'import re, import requests etc.' and run the code, nothing happens, there is no message unlike your screen. How do I fix this?

Hey McKay I have had my UG in Artificial Intelligence and Data Science And am really forward at sports analytics at a sports company….any tips, suggestions, guidance, feedback?

Great timing on the vid, I just signed my offer letter for my first DE role after a long, multi year transition from being more of an Application Engineer. It’s exciting that I’ll be getting paid to become proficient with the tools that will give me the ability to learn more about things I actually find interesting and will actually want to leverage in the future for my own projects, plus I’ll learn in a professional environment how those projects with a solid engineering base so they’ll be more sustainable. Everyone wants to do the sexy things until they remember that the foundation of the house is what keeps it standing!!!!!

Hello, lovely video you have here. I wanted to ask how did you get the raw file.

I am a CS student, do sports analyst roles require CS degrees or more data degrees?

As a big coding fan (cs student) and an even bigger football fan, this page is genuinely a God send

How to export as pdf or report?

i would like to try this out with another player. Where do i get the data.csv from.

I think the reson they got a different value for distance is because you actually calculated the distance to the goal line. Shooting from the corner flag would have a distance of 0 with your method. You should use something like this I believe: distance = sqrt(x*x + y*y)

Why do you prefer jupyter notebook instead of other platforms?

Hello there, Do you have any video exploring corners?

Hi bro, do you think i could land a Sports Analytics job without formal education? Want to switch careers and i like to code etc

From a French guy, your prononciation of Poisson is perfect 😉

I really like your videos about sports analytics. I want to focus on Baseball and F1 specifically though cuz those are the ones I follow closely and they are rich in usage of analytics and how much data they make available. Any great suggestions for getting into those?

I‘m curious if the results would change if you consider each shot xG separately. A team who has only 1 shot which is worth 0.9 is surely more likely to win than a team who has 20 shots each worth 0.045 or not? At least it was explained like that in „the Expected goals philosophy“ book i read recently I‘m currently working on creating my own xG/xP Modell for the Academy of an Austrian Bundesliga Club as there is no data available for the youth teams, your videos really help me out on the programming side, looking forward for more of your videos :)

Just found your channel. This couldn’t be more up my alley. Are your courses compatible with Basketball and American Football stats as well? If not, are you considering releasing courses for those as well?

Is there a alternative nowadays ?

Thanks, it's definitely an impressive application on football data scrape. By the way, can we get data from the Wyscout database using the similar method? Many 😊 thinks

What about football analytics

I mostly work with JavaScript. Is there any JS package similar to python's mplsoccer?

do you guys know a good course in sports analytics for people that have a math background? i love the Logic of Sports Betting book.

I'm from India and I'm also an FC Barcelona fan. I love to collect data and all... I'm good at coding and I think I should follow my passion, i.e: Football.

why do I get this error? --------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[28], line 4 2 total_goals = df[df['result'] == 'Goal'].shape[0] 3 total_xG = df['xG'].sum() ----> 4 xG_per_shot = total_xG / total_shots 5 points_average_distance = df['X'].mean() 6 actual_average_distance = 120 - (df['X'] * 1.2).mean() TypeError: unsupported operand type(s) for /: 'str' and 'int'

hi do you need a editor

Can’t thank you enough for the how to videos. It’s helped me tremendously with my sports analytics projects

0:50 you just described the exact situation I experienced while setting up my career goal. I started to explore and learn DE essentials almost a year ago. I also have passion for sports and built my first data pipeline using the Transfermarkt data. Today, I have started to work on a real time analytics pipeline project.

As a recent Data Science Graduate, I enjoyed this. Keep up the good work McKay Johns