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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