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Jul 5, 2022 β€’ 21 tweets β€’ 19 min read β€’ Read on X
Analyzing all #BarclaysWSL teams' 1st pass after their kickoffs from 18/19 to 20/21

πŸ”‘ Takeaway: Some teams do have different tactics overall &/or for different game states

🧡 is alphabetical, so starting with @ArsenalWFC

Always more long & less accurate passes when losing!
For @AVWFCOfficial there's just the one season.

Ignore winning game states since there were only 2... but they exclusively played very long balls up the pitch when drawing, but were more conservative while losing (with some long balls as well, but not just long passes)

#AVFC
Now @BCFCWomen

Small sample again for winning game states. But they also changed their tactics over these 3 seasons, opting for more long passes across them. But not much of a pattern when breaking down by game state. Usually a lil less accurate when drawing tho

#BCFC #BCFCW
.@BHAFCWomen

Brighton are fun because they typically have the same avg distance on drawing/losing states, but their completion % was always lower when drawing before 20/21, then it was the same.

Interesting, as the locations as well were similar.

#BHAFC
.@bristolcitywfc

I struggle to find any pattern to Bristol City's kickoffs. Have to ignore winning since it's such a small sample, but drawing/losing are always fairly similar length, accuracy, & rough locations as well.

#BristolCityWomen
For @ChelseaFCW we have a good sample size of all 3 game states in 2 seasons

They also changed their tactics up drastically from 18/19 to 19/20 & 20/21. From lateral to almost exclusively long boots up the field! Less than 67% accuracy for all kickoffs in 19/20 & 20/21 lol

#CFC
.@EvertonWomen

If you take anything away from this thread... it's that Everton target the left flank right after kickoff πŸ˜‚

But they have a trend: they did this almost exclusively when drawing, yet less often when losing...

Important to note for opponents

#EFC @COYB
Now @LiverpoolFCW

Like their local neighbors Everton, Liverpool also targeted the left side, and also more so when drawing than losing....... Something in the water in the city?

Very interesting to see though, the difference between the 2 game states.
.@ManCityWomen

3 different tactics over these 3 years it looks like. 19/20 was extremely consistent, and then 18/19 was more back/lateral, 20/21 more forwards.

The 2 recent seasons, City typically passed it shorter & more accurately when drawing than winning/losing

#ManCity
.@ManUtdWomen

Certainly changed tactics between these 2 seasons, aiming more frequently for their own half in 20/21 than 19/20.

Hard to see a distinct pattern among different game states, however.

#MUWomen
Now @ReadingFCWomen

Not a great sample size when winning, but for the 2 seasons they had kickoffs while winning they were consistently pretty short & accurate, espcially compared to drawing/losing.

Drawing/losing were fairly similar to each other too

#REAWomen #Reading
.@SpursWomen

Usually more aggressive & risky long passes while drawing than while in a losing state. Sadly for this supporter, only 3 kickoffs came when winning so can't see much there.

But a distinct pattern when drawing that is sometimes bucked when losing

#COYS #THFC
.@westhamwomen

Fairly consistent in all 3 game states overall, but overall drawing passes tended to go towards the flanks in their own half, except that changed 20/21. Losing passes in 20/21 were then much less risky & shorter than drawing on avg, so the pattern flipped!
Finally, Yeovil Town's season where they ended with -3 points after earning 7 and being docked 10.

Can't see any patterns. Really looks like both when drawing and losing, their passes were typically back & safe, but had the odd long ball in them.
Overall, my thoughts are:

1) There's not a league-wide trend, which makes sense

2) Some teams have distinctly different tactics overall, regardless of game state. These can change with seasons too

3) Some teams do exhibit tactical differences depending on game states
It looks like there's certainly some value in analyzing opponents' passing tendency directly after their kickoffs. Some teams are very consistent in what they do, either depending on the game state or just in general, regardless of game state.
I said yesterday after my Barcelona analysis that I wanted to dive deeper into a league. And the results here definitely make me think there's some real possibility here.

The biggest omission I think I have so far is that I just look at location, length, accuracy...
... And I think that's good enough to see there's something going on with some teams, but not enough.

For further work I'd love to dive deeper into what happens AFTER these passes. More than the pass itself, is there a specific tactical goal with these?
But I think that needs to be limited to just a couple teams, at least for the WSL, that have a decent sample size of all 3 states of winning/drawing/losing.

Ignoring winning or losing because there's not enough data gives less insight πŸ˜…
And here's my initial post from yesterday, looking just at 5 Barcelona seasons
TL;DR

When analyzing 3 seasons of a league, it looks like teams have distinctly different passing tactics at their kickoffs, some even have different tactics when in different game states of winning, drawing, or losing.

Hopefully this is just the start of a deeper dive from me

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More from @BeGriffis

May 6
My sample of shots for my xG model is at 313,319 (and growing, I'll likely double that soon), so I can dig into some non-xG data...

And I found that the more a team leads by, the more likely they are to score with their shots. It's statistically significant as well Image
The graph shows all non-penalty shots in my sample taken when the team was losing by 4/3/2/1, drawing (gamestate = 0), or winning by 1/2/3/4

Conversion rates when losing are all effectively the same (10.5%)

Shots are statistically more likely to go in when drawing than losing..
.. and at almost every step, shots are statistically more likely to go in when winning

11.8% when drawing, 15.3% when winning by 1. Significant

16.9% when winning by 2 & significantly more likely than even when winning by 1

And so on until +4 isn't statistically more than +3
Read 14 tweets
Feb 7
why the hell do the USMNT stans care so much about shouting into the void that the US would win the Asian Cup?

Being in the concacaf gold cup final almost by default has made them so entitled
Like, yes, we are a very good team.

But so is Japan

And Korea

And Iran. & Iraq. Saudi Arabia, Qatar, Australia... And then teams like Uzbekistan, UAE, Jordan, Oman, they can beat anyone on their day

Thailand, Vietnam, Kyrgyzstan, Tajikistan, Lebanon, Bahrain... not easy!!!
Pretend we just swapped places with Japan. Since they were pre-tourney faves and USMNT Stans think we would be to. Straight swap.

Iraq, Indonesia, Vietnam is the group.

Indonesia we beat, sure. Vietnam too. But we'd struggle vs Iraq like Japan did. Iraq can SCORE, man
Read 9 tweets
Oct 21, 2023
🚨🚨 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

πŸ‘‰ github.com/griffisben/gri…

Image
Image
Please note that you will need to uninstall and then re-install the package if you've already installed it before

And IMPORTANT NOTE, you will need ChromeDriver for this to work. I apologize, but I can't be tech support for everyone. Here is that link
chromedriver.chromium.org/downloads
The github page has the code you can copy/paste.

Please note that there are several file paths that you'll need to update. Particularly, the path to where you have ChromeDriver installed, as well as team logos (I get mine from wikipedia)

Just need to paste Whoscroed match HTML Image
Read 6 tweets
Aug 3, 2023
My thoughts on FBRef's standard scouting report metric when using it on a CB

Can really only look at 4-6 metrics, and they're all on-ball, in-possession ones

Not really a reason to look at almost all the attacking metrics, and nearly every defensive metric is bad Image
Non-penalty goals: not really useful. Most CBs only score when up for corners, so dependent on too many factors

npxG: same as npG

Shots: fine to look at but will by and large be shots from corners, so keep that in mind. Still not good to *compare* off just this metric
Assists: doesn't matter for a CB overall, only extremely select systems. Ignore

xAG: same as assists

npxG_xAG: I shouldn't need to say why now

Shot-creating actions: really only matters for high-possession systems the CBs are pretty involved in
Read 19 tweets
Jun 12, 2023
If Khvicha Kvaratskhelia ends up leaving Napoli, are there any possible replacements similar to Kvara?

Here are the top 20 similar style players, in leagues with relatively similar styles to Serie A, and teams in those leagues with relatively similar styles to Napoli...

🧡 Image
If we look at Kvaradona, he was a young, high-potential prospect that, while incredible, may not have been expected to be THIS good in season 1 in Naples.

Any on this list that meet that? I think so.

I'll look at a few U22 talents with somewhat similar styles to Kvara
Mohamed Daramy. He's on loan from Ajax, and has absolutely killed it in Danmark this season

Ajax bought him for 12 million last summer. So it might be unrealistic, but definitely possible although if Ajax are open to selling... clubs with likely more resources will be in for him Image
Read 10 tweets
Jun 12, 2023
For a little expansion, some vizzes of the data

Brighton are a good example because the goal kicks and their long passes right after short goal kicks tend to come from similar areas (central)

A bit higher cmp% on long after short GK than on long GKs Image
Fulham another example, but with different areas of the pitch both passing from and being targeted. Image
Adelaide United another good example of this.

Passes do tend to be shorter than goal kicks, so they're usually more accurate but have the same effect as a long goal kick Image
Read 4 tweets

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