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JK

@_JKDS_

3 months

BIG THREAD OF DATA VIZ FOR THE PREMIER LEAGUE 23/24 SEASON (1/17)

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JK

@_JKDS_

1 year

🧨📊 Premier League top threat creators from each zone of the pitch. Expected threat per 90 (xT) generated from in-play passes, carries and dribbles used to calculate top threat creator in each zone.

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JK

@_JKDS_

1 year

BIG THREAD OF PREMIER LEAGUE DATA AND VISUALS. An extensive collection of data visuals, statistics and insight that covers the entirety of the Premier League 22/23 season. (1/14)

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JK

@_JKDS_

11 months

🧙‍♂️🧵Pre-International Break: Premier League threat creators. Top in-play threat creator from each zone of the pitch. Minimum 180 mins played. (1/4)

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@_JKDS_

2 years

📄Been working on some new automated player reports - let us know what you think! Diogo Dalot | Man Utd | Premier League 2022/23 | Right Back Report

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@_JKDS_

1 year

📊All of Europe's "Big Five" Leagues have now concluded. So which players had the largest impact on their team's offensive build-up over the season? Ranking players by improvement in their team's threat creation when they are on vs. off the pitch! Domestic matches only.

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JK

@_JKDS_

2 years

📊🪄 Premier League's most dangerous passers this season! An assessment of creativity & ball progression using a couple of simple metrics. For all his defensive frailties, Trent's numbers are phenomenal (as are Trippier's and KDB's). Estupiñán has been some signing too! (1/2)

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@_JKDS_

1 year

📊 BIG THREAD OF EFL LEAGUE ONE DATA & VISUALS What a conclusion to League 1 this weekend! See below an extensive collection of data visuals covering the entire season, highlighting effective teams and players by a variety of metrics. Championship to come next week! (1/14)

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JK

@_JKDS_

2 years

✨📊 Which premier league players have progressed the ball most frequently this season? New visual for this week looks at the top 12 progressive passers over the 6 games played so far this season. Plenty more similar work planned - what do we think?

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@_JKDS_

5 months

Haven't posted for a long time! Bringing back a favourite for the international break... 🧙‍♂️Premier League threat creators. Top in-play threat creator from each zone of the pitch. Minimum 900 mins played (1/4)

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@_JKDS_

1 year

@RahulNaren3592 Arsenal have created significantly more threat when Xhaka is off the pitch vs. when he is on. Many are interpreting this as "Xhaka is poor", but that is incorrect. Xhaka is often subbed off when Arsenal need a goal, so naturally they will create more in these scenarios

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JK

@_JKDS_

2 years

✨📊 Where are Premier League teams winning the ball back? Teams ranked by the mean height up the pitch that they win possession back (directly from opposition).

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@_JKDS_

1 year

🆕📊 Which Premier League players have the largest impact on their team's offensive build-up? A look at the top 10, and bottom 10, players by improvement in their team's threat creation (in-play) when they are on the pitch vs. when they are off the pitch! (1/3)

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JK

@_JKDS_

1 year

🪄Threat creators in Europe's Big 5 leagues A breakdown of threat created by in-play passes and carries (per 90) by players within these leagues. Top 2% in either metric are labelled. Leave us a reply if there's a specific player (or team) that you want labelling!

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@_JKDS_

2 years

✨📊 A quick look at the Premier League's top defensive contributors so far this season! Players are assessed against ability to win balls directly from opposition through tackles, interceptions, etc (left-hand axis), and ability to recover loose balls (right-hand axis) (1/2)

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@_JKDS_

1 year

🧙‍♂️📊Top threat creators in Europe's Big Five leagues, broken down by pitch zone. Players ranked by expected threat per 90 (xT) generated from in-play passes, carries and dribbles. The highest threat from any single zone per 90 - who else but Messi 🇦🇷

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JK

@_JKDS_

2 years

✨📊 Ranking Premier League players by tendency to "defend from the front" This new visual shows the top 12 prem players by number of defensive actions completed in the final (opposition) third! (1/4)🧵

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@_JKDS_

1 year

📊Here it is! BIG THREAD OF EFL CHAMPIONSHIP DATA AND VISUALS. An extensive collection of data visuals, statistics and insight that covers the entirety of the Championship season (minus play-offs). Including assessments of teams and players by a variety of metrics. (1/17)

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@_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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JK

@_JKDS_

11 months

Threat created through passes and carries (over entire pitch). Top 10% by each metric labelled. (3/4)

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@_JKDS_

2 years

❓I've put together a short doc that provides guidance on getting started with football data analytics! I've had a few individual requests, so thought I'd try and capture my thoughts and advice in one place (on my git repo) Any feedback, let me know!

football-data-analytics/Getting Started with Football Analytics.md at main · jakeyk11/football-da...

Collection of tools and scripts for analysis and visualisation of football data. - jakeyk11/football-data-analytics

github.com

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JK

@_JKDS_

2 years

🧨📊 Premier League's Threat Creators... Bringing the previous few threads together: a view of threat created through passes and carries (per 90) by all Premier League players that have played over 450 mins this season. Top 10% in either metric are labelled (1/2)

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@_JKDS_

1 year

📊What are the characteristics of successful Premier League teams? Investigating how strongly a range of team metrics correlate with points accumulated in a season, using data from the last 5 Prem seasons. Correlation scores indicate strength & direction of correlation (1/5)

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@_JKDS_

1 year

De Bruyne, TAA & Trippier lead the way by threat created through in-play passes. Mitoma and Grealish lead by threat created through carries. (3/14)

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@_JKDS_

2 years

📊🧵Big thread of EFL Championship data and visuals! Up first, which teams have generated the most "threat" per 90, and from which areas of the pitch? (1/12)

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@_JKDS_

2 years

♻️📊 A "complete cycle" of Premier League results... Brentford winning at the Etihad means that a full cycle of Premier League results is now complete!

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@_JKDS_

2 years

📊✨ New visual for this week - digging deeper into player pass patterns! (inspired by @markrstats ) Done by creating convex hulls of the start positions of each player's passes. The hull area quantifies the variation in pitch position that a player chooses to pass from (1/3)

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@_JKDS_

1 year

And, for a bit of fun, a version showing top threat creators from very small regions of the pitch...

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@_JKDS_

2 years

🧪📊 A bit of something experimental/work-in-progress... an alternative way to visualise pass flow! Done by breaking the pitch up into zones, looking at all passes from each zone, and then identifying the zone in which the majority of passes end up. (1/3)

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@_JKDS_

1 year

📉Premier League teams are slowly reducing the distance that they take shots from... Every team having played 7+ seasons of Prem football since 2011/12 has reduced their shooting distance on average! (for in-play ground shots only) A thread on Premier League shooting trends⬇️

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@_JKDS_

1 year

A "cleaner" version, showing only the Championship's top threat creator in each zone of the pitch.

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@_JKDS_

2 years

🏴󠁧󠁢󠁥󠁮󠁧󠁿🇮🇷Strong start by England! Team shape worked well and was great to watch! - very structured defensive 5 (with Rice dropping deep) and then less rigid / more fluid in attack

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@_JKDS_

1 year

📄Josko Gvardiol | RB Leipzig | Bundesliga 22/23 | Left Back Report. Ahead of a potential move to Man City, the report ranks Gvardiol against all EPL 22/23 full-backs, and includes direct comparisons to Nathan Aké in EPL 22/23 and João Cancelo in EPL 21/22.

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JK

@_JKDS_

2 years

📰📊 New pass report! I've combined some previous work to produce post-game pass reports for any team of choice. Here I look at Leeds - directing majority of attacks down the left wing. Often using the right half-space to switch the ball to that side. Low cross completion! (1/3)

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@_JKDS_

2 years

🆕📊 Which penalty takers aim right for the corners of the net? After Martial's "inch-perfect" pen last weekend, I take a look at ranking players across Europe's top 5 leagues (2019-22) by penalty placement! (1/2)

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@_JKDS_

1 year

📦📊 Who has moved the ball into the opposition box most frequently in the Premier League this season? Prem players ranked by number of successful in-play passes and carries into opposition box per 90. Distribution in starting position of these actions shown for top 20 players!

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@_JKDS_

1 year

🏴󠁧󠁢󠁥󠁮󠁧󠁿 Premier League players ranked by improvement in their team's threat creation when they are on the pitch.

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JK

@_JKDS_

2 years

📊Which players have generated the most threat from successful passes (per 90mins) throughout the World Cup! Any big surprises in here? (1/2)

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@_JKDS_

1 year

🧨📊 Champions League top threat creators from each zone of the pitch. Expected threat per 90 (xT) from in-play passes, carries and dribbles used to calculate top threat creator in each zone.

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JK

@_JKDS_

1 year

Which player is most threatening from each area of the pitch? Incredible to see Grealish appearing in three high zones! (7/14)

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@_JKDS_

3 months

Which players created the most threat (xT) from each zone of the pitch? (2/17)

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@_JKDS_

2 years

Hi all! Quick one to say cheers for all the support so far on this account, really appreciate it and so pleased to have reached 1.5k followers! If interested, I share code for most of the work (). For anything extra you'd like to see, give us a shout!

GitHub - jakeyk11/football-data-analytics: Collection of tools and scripts for analysis and...

Collection of tools and scripts for analysis and visualisation of football data. - jakeyk11/football-data-analytics

github.com

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@_JKDS_

2 years

📊⚠️Where are World Cup teams creating threat from? A view of zonal threat creation for the top 20 teams ranked by total threat created per 90 (from successful passes and carries only).

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@_JKDS_

2 years

📄Andy Robertson | Liverpool | Premier League 2022/23 Includes a comparison to his 21/22 and 20/21 seasons... extremely consistent!

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@_JKDS_

2 years

🆕📊 Premier League - Full Back (FB) interplay Liverpool FBs have a reputation for combining to switch play and create chances, but which other team's FBs combine well? Ranking teams by mean threat generated /90 through in-play passes between starting full-backs. A thread:

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@_JKDS_

1 year

🧙‍♂️📊 Championship top threat creators from each zone of the pitch. Expected threat generated per 90 (xT) used to identify top three threat creators in each zone.

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JK

@_JKDS_

2 years

✨📊 Assessing the quality of Premier League teams crosses! Teams are ranked by percentage of in-play crosses that are classified as "effective". An effective cross is a cross followed by a shot or key pass, regardless of whether the cross reaches its intended target! (1/8)

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@_JKDS_

2 years

Instead we normalise a player's defensive actions by the number of passes that the opposition completes in their own third (whilst that player is on the pitch). This provides a fairer ranking that accounts for the total opportunity a player has to defend from the front! (3/4)🧵

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@_JKDS_

5 months

Top 3 in-play threat creators from each zone of the pitch. (2/4)

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@_JKDS_

2 years

♻️📊 Same again but for the entire 2021/22 season... Top 12 prem players by tendency to defend from the front! No surprise who's top!

JK

@_JKDS_

2 years

Instead we normalise a player's defensive actions by the number of passes that the opposition completes in their own third (whilst that player is on the pitch). This provides a fairer ranking that accounts for the total opportunity a player has to defend from the front! (3/4)🧵

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@_JKDS_

1 year

🧙‍♂️Champions League 22/23 threat creators! Top 3 creative passers (in-play pass xT/90): 1) 🇧🇪 De Bruyne: 0.319 2) 🇮🇹 Dimarco: 0.311 3) 🇫🇷 Dembélé: 0.304 Top 3 dangerous ball carriers (carry xT/90): 1) 🇬🇪 Kvaratskhelia: 0.173 2) 🇫🇷 Mbappé: 0.163 3) 🇫🇷 Dembélé: 0.155

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@_JKDS_

1 year

A good lesson here on the importance of clarity & context when presenting info. In my last thread, which looked at the impact of players on their team's overall threat creation, I missed the mark on a few key areas. Here I'll highlight what I should have done differently. (1/18)

JK

@_JKDS_

1 year

📊All of Europe's "Big Five" Leagues have now concluded. So which players had the largest impact on their team's offensive build-up over the season? Ranking players by improvement in their team's threat creation when they are on vs. off the pitch! Domestic matches only.

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@_JKDS_

11 months

Top 3 in-play threat creators from each zone of the pitch (2/4)

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@_JKDS_

2 years

🆕📊 Premier League's top ball carriers! Ranking players by threat (xT) generated per 90 from ball carries. • Grealish, Kulu & Adama lead • Summerville ranked 6th • 100% of top 12 are wingers, 50% are English • Saka, Zaha & Salah are top by total (not /90) carry xT (1/4)

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@_JKDS_

1 year

🆕📊 The Premier League's Most Common Actions! A look at what type of action each Prem team has completed most frequently in each zone of the pitch when attacking!

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@_JKDS_

11 months

We know that goals vs. xG can indicate how effective a team are at taking chances. In a similar way, xG vs. xT can tell us how effective a team are at converting their ball progression & threatening offensive play into good quality chances. Everton score best based on this

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@_JKDS_

2 years

✨📊Which areas of the pitch are Premier League teams creating from? Teams ranked by total expected threat (xT) from in-play passes, carries and dribbles (per 90). Negative threat events (e.g back-passes, failed dribbles etc...) are assigned 0 threat and therefore not penalised.

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@_JKDS_

1 year

🇩🇪 Bundesliga players ranked by improvement in their team's threat creation when they are on the pitch.

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@_JKDS_

1 year

Of all Premier League forwards, Darwin Núñez has assisted the most expected goals (in-play, per 90) this season by some margin! Top 5 by xGA/90: 1. Darwin Núñez 🇺🇾: 0.197 2. Harry Kane 🏴󠁧󠁢󠁥󠁮󠁧󠁿: 0.120 3. Kai Havertz 🇩🇪: 0.103 4. Julián Álvarez 🇦🇷: 0.102 5. Kelechi Iheanacho 🇳🇬: 0.102

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@_JKDS_

1 year

@reub5ter Firstly xT has no relation to goals and assists, it's a measure of ball progression really! Secondly, this metric is looking at the team performance whilst the player is on the pitch as opposed to just the player themselves. Per 90, arsenal created more threat when he was...

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@_JKDS_

1 year

Finally, bringing these two metrics together to identify which Premier League players have the largest overall impact on their team's "threat for" − "threat against" (in-play). (3/3)

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@_JKDS_

2 years

🇦🇷🇸🇦 To win against Argentina is impressive in itself, but to do so whilst playing a relatively high defensive line throughout most of the game is incredible! Visual shows all Saudi Arabia starting defenders' actions when drawing/losing vs. when winning...

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@_JKDS_

1 year

@justkinggg_ @RahulNaren3592 But the fact he's hardly subbed off means the sample size to assess Arsenal's threat when he's off is very small (around 400 mins). This then means that other factors like opposition quality can have a bigger impact on the metric! That's what's happened here

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@_JKDS_

11 months

Finally, players ranked by frequency at which they successfully enter the opposition box. (4/4)

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@_JKDS_

9 months

🆕🧑‍⚖️ Premier League: Justice League What would the league table look like based on expected points?

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@_JKDS_

1 year

Teams ranked by total threat creation. Liverpool, Leeds & Chelsea significantly underperforming based on threat created. Forest some way off the rest of the league by this metric, making their survival even more impressive! (2/14)

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@_JKDS_

5 months

Threat created through passes and carries. Top 10% by each metric labelled. Doku completely breaking the scale! (3/4)

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@_JKDS_

2 years

🆕📊 Chelsea vs. Fulham - player offensive territories based on in-play passes made. Both Mitrovic and Havertz dropping deep and covering significant area. Fulham overloading the right side of the pitch, with Tete putting in a MOTM-worthy performance.

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@_JKDS_

1 year

🆕📊 Premier League teams defending set-pieces... Teams ranked by % set-pieces against resulting in an opposition chance within 5 seconds. Newcastle excellent defensively. Surprise to see Man Utd bottom, although quality of chances conceded is relevant. (1/4)

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@_JKDS_

3 months

Which players created the most threat (xT) across the entire pitch? How was this split between pass threat and carry threat? (3/17)

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@_JKDS_

1 year

✨📊Which Premier League teams are creating significantly more or less threat than they did last season? Teams ranked by increase in expected threat (xT) from in-play passes, carries and dribbles per 90 when comparing this season to last. Heatmaps show change in xT/90 by zone!

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@_JKDS_

1 year

That's all! Code to re-produce visuals available on GitHub! (14/14)

GitHub - jakeyk11/football-data-analytics: Collection of tools and scripts for analysis and...

Collection of tools and scripts for analysis and visualisation of football data. - jakeyk11/football-data-analytics

github.com

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@_JKDS_

1 year

🇪🇸 La Liga players ranked by improvement in their team's threat creation when they are on the pitch.

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@_JKDS_

11 months

📊What types of pass do Liverpool use to create chances! Visualising the 5 most common pass clusters for each of the 6 passes made prior to in-play shots (over the previous 3 seasons) Right side dominant as expected!

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@_JKDS_

5 months

Players ranked by frequency at which they successfully enter the opposition box. (4/4)

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@_JKDS_

1 year

📊🧵How did Premier League teams structure their possessions during the 22/23 season? For each team, I look at the first 6 passes they make in possession chains that result from; build-up in own third, midfield transitions, and high ball wins First up, Arsenal:

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@_JKDS_

11 months

So pleased to have had some of my work featured in a Tifo video! (6m:35s) Well worth a watch - brilliant lesson on how to use data in football & understand its pitfalls/limitations. Huge thanks to @Jon_Mackenzie - perfect surname pronunciation too, which doesn't happen often!

Tifo Football

@TifoFootball_

11 months

After four games of the season Everton sit in the relegation zone with only 1 point. So they must be pretty bad, right? @Jon_Mackenzie has crunched the numbers and found reasons for Toffees fans to be positive. - Try The Athletic for FREE for 30 days:

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@_JKDS_

11 months

@Jon_Mackenzie Hi Jon. This could be of interest. I think if you then removed the top 6-8 teams each season you'd be getting closer to an answer. Happy to do that this weekend if it'd be useful to you!

JK

@_JKDS_

1 year

📊What are the characteristics of successful Premier League teams? Investigating how strongly a range of team metrics correlate with points accumulated in a season, using data from the last 5 Prem seasons. Correlation scores indicate strength & direction of correlation (1/5)

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@_JKDS_

2 years

💡🐍 Tip: By using the @mplsoccer_dev pitch grid function in combination with reshape, you can easily iterate over and plot on any number/arrangement of pitch axes! (Had a few people ask, so thought I'd post on here)

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@_JKDS_

1 year

Here's where some of the most threatening passers play their passes from - passes coloured by threat. (4/14)

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@_JKDS_

2 years

✨📊 When playing a pass, which premier league players are most likely to play a successful progressive pass? Ranking outfield players by the number of successful progressive passes per 100 passes played somewhat answers this! (1/4)

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@_JKDS_

2 years

🆕📊 Today it's the Premier League's top passers... Ranking players by threat (xT) generated from in-play passes (per 100 team passes to adjust for possession). Trippier, KDB and Trent on top. A few suprises further down the list in my opinion! (1/3)

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@_JKDS_

2 years

Best penalties taken at the World Cup by placement! This work is just a bit of fun, and ranks World Cup penalty takers by the mean distance of their penalties (including shoot-outs) from the GKs starting position. On this criteria, Bale's penalty vs USA takes top spot (1/2)

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@_JKDS_

1 year

Players ranked by volume of box entries per 90. Grealish, De Bruyne and Salah lead by a margin (6/14)

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@_JKDS_

1 year

🧨Premier league pre-season top goal contributors Anderson on fire! Bowen continues late-season form. Goals flowing amongst Liverpool forwards.

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@_JKDS_

2 years

📊 🧵Some refreshed Premier League visuals, assessing progressive passers and defensive contributors ahead of the World Cup! Top progressive passers within opposition half. Adjusted for total passes made by the passers team...

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@_JKDS_

2 years

Just a single Python script does this (although it's extremely inefficient at the moment.) I've chucked it up on Github

GitHub - jakeyk11/football-data-analytics: Collection of tools and scripts for analysis and...

Collection of tools and scripts for analysis and visualisation of football data. - jakeyk11/football-data-analytics

github.com

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@_JKDS_

2 years

Where are World Cup teams winning the ball? A look at ball winning zones for the top 20 teams, ranked by the mean height up the pitch that they win the ball. England average ball win position is highest by a significant margin (and predominantly on their left side)!

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@_JKDS_

1 year

Next, which Premier League players have the largest impact on their team's ability to limit the opposition build-up? A look at the top 10 (and bottom 10) players by reduction in their team's threat conceded (in-play) when they are on the pitch vs. off the pitch. (2/3)

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@_JKDS_

1 year

🆕📊 Man City pass report vs. Bayern:

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@_JKDS_

11 months

@JaskinsTwits Yep! Chelsea's underlying numbers are all so good too

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@_JKDS_

1 year

Top 3 threat creators from each zone in Europe's Big Five leagues

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@_JKDS_

1 year

📊What are the characteristics of successful Championship teams? And how does this compare to the Premier League? A look at how strongly a range of team metrics correlate with points accumulated in a season, using data from the last 5 Championship seasons. (1/7)

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@_JKDS_

2 years

⚽️📊 City barely needing to come out of 2nd gear! With City having reverted back to inverted full-backs this season, it's always interesting to see just how narrow they play (green shaded regions) Today, both Cancelo and Stones mean positions were in line with the half-spaces.

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@_JKDS_

1 year

Top 3 threat creators from each zone:

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@_JKDS_

2 years

📊⬇️Bournemouth vs. Arsenal xG and pass flow reports! Finalised the pass flow visual - any thoughts or other games you'd like to see?

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@_JKDS_

1 year

A view of defensive contribution by player, showing top players by recoveries and direct ball wins. Rodri levels ahead by direct ball wins. Joelinton and Casemiro lead by recoveries (12/14)

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@_JKDS_

3 months

What passes and carries were made by the top 12 threat (xT) creators? (5/17)

1

12

45

JK

@_JKDS_

1 year

⚽️📊 Comparing threat created by Championship teams this season vs. last season Teams ranked by increase in expected threat (xT) from in-play passes, carries and dribbles per 90 when comparing this season to last. Heatmaps show change in xT/90 by zone

1

5

48

JK

@_JKDS_

1 year

Here's where the most threatening passers played their passes from. The sheer volume of high threat passes by Bannan is incredible - putting him comfortably above the rest of the pack by passing threat (4/14)

4

10

45