All Stats Aren't We

Another week, another Weekly.

The boys are back to explain the basics of statistical evaluation of football.

Given that we spend a lot of time talking about stats and not a lot of time explaining them, we thought it would be good to make a primer which covers all the basics. So here it is!

To help you navigate and jump around the relevant sections, here are the time stamps of each topic:

0.00 - Intro

2.29 - Goalkeeper situation on Leeds

6.39 - How did you get into stats?

10.46 - What are the limits of statistical analysis?

15.46 - What about confirmation bias?

17.04 - How widely used are stats in the football industry?

21.38 - Does Marcelo Bielsa use stats?

24.46 - Why do we use “per 90” when talking about a player’s stats?

26.20 - What metrics are useful to keep an eye on as Leeds fans?

28.41 - What are expected goals and why are they useful?

32.27 - Can expected goals be bad?

34.55 - Why are there conflicting xG numbers?

36.29 - Why does xG seem to underestimate chances as I see them with my eyes?

38.35 - What is post-shot xG and why is it useful?

40.32 - What is variance, what is regression, and why do they matter?

44.09 - How do you quantify possession stats?

46.24 - What are possession value models?

49.23 - What are good metrics to show how teams progress the ball?

51.43 - What is a “key pass”?

53.24 - Shot and goal creating actions

56.50 - Why is it hard to quantify defending?

59.26 - What are the basic defensive metrics?

1.00.28 - Pressures and how they are measured

1.03.35 - What metrics should Leeds be looking at in the future?

1.06.40 - What are new developments in statistics that excite you?

1.10.56 - What metrics do you wish were available to you that aren’t?

1.12.31 - Advice for people wanting to get into statistical analysis

1.15.39 - Outro

Enjoy!

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