I actually hadn't realized Brazil got so many shots on goal in that game. Felt like they were constantly losing the ball just outside the 18 and immediately getting countered, which I suppose isn't totally wrong given how many times they failed to score.
Brazil doesn't get many good hots, more shots from outside the box, just in hope. And the game was decided at around 30 Minutes. So germany doen't have to need to have a high focus on the defence.
Statistical analysis that takes game state into account is something I'm really interested in. Seeing how individual and collective player performances respond to various states of play such as; being a goal down, having a lead, being a man down etc. And perhaps time should be a considered variable in some of this. The urgency to score an equaliser isn't the same in the first half as it is in the second.
Damn Messi really is a Steph Curry/Jokic in how he just dominates all advanced stats. Different sports with different context obviously but cool to see regardless.
Keep in mind that Messi does not share the same league with other top performers, except for Mbappe and Neymar, which is also why they have great stats. Meanwhile all NBA stars compete against each other constantly. You can check Messi's stats in the two legs against Bayern.
Enjoyable and interesting video as always Meta. Think a collab between yourself and Statman Dave would be a cool watch. Not sure I'd go as far to say some stats should be ignored but think it comes down to the use of said stat along with other stats personally ie with the stats you highlighted in the video. I do wish there was slightly more importance on advanced stats rather than say just possession
Great explanations of the stat upgrades! Would love it if you did another video applying those new statistical tools to the Germany-Brazil game you applied the traditional stats to at the beginning of the video.
The speed of ball moving from player to player in opposite side of the field is a very good indicator of a good offensive performance. But few important things should be taken in consideration sach as total amount of completed passes and whenever they reach opposite box or not. The key thing is this - I believe metrics which logically detect ball speed during attaking actions and have it in it's formula harmonically with pass quality and danger to opposite goal, will have high correlation with final result.
Great video. Also shows are Messi is way better football player than others even at age 35. Shame that Football Manager makes him 10. best and Ballon d’or leaves him outside of top 30 just because media press. He was not just goals and assist an even at his 2022 season he was 3rd best player in the world statistically in whoscored even he has 6 goals which gives most of the points of attackers. Lewa and Mbappe was 1-2 and they had 30-35 goals.
It's astonishing that Jurgen Klopp somehow using old century tactic (man-to-man marking) with extra intensity and now it becomes more reasonable approach for fast pace league.
Are those stats from Messi accumulated over career or just this season. Cuz if latter it’s mad impressive given his age compared to everyone else on the ranks 😮
Great video. As someone who feels well versed in advanced stats for basketball and American football, but also really loves soccer, this was a helpful primer. Going well beyond xG is really helpful, as I know it's a helpful metric, but there are so many things that underpin that metric and may prove more helpful in evaluating players and teams.
Interesting content. I fully agree with the idea that we need advanced stats in tv broadcasts! I’m wondering if field tilt is the best option to replace possession. It’s not really accurate as a representation of a similar concept. But some breakdown (by field third, game state, etc) would be great. + some xThreat since it’s really straightforward to implement
With the implementation of Semi-Automatic Offside call like in the World Cup, you can have a 3d representation with very high refresh rate of every player for the whole match. I think it will be interesting to extract some stats from that - for example the FoV of each player, the amount of times he scan for information around the pitch (or Scan per Minute :p), how many other player's positions did he scan, etc. I imagine someone like Odegaard would score pretty high in these metric.
Wasn't aware of some of these metrics! Fascinating! For BDP and other metrics though, there are confounding factors and for better understanding we need to take into account the opposition team and how they play and also the live score since needs are changing based on this. So, it's different if you chase the score or not and it's different if you play with an aggressive team or not.
Great video! Those are 2nd level aggregated stats, I would like to see a video about positional and moving stats - the ones which catch how well the player is positioning without ball in attack and defence phase of the game respectivelly.
Statistics in footbal are problematic for people who don't know what they're looking as you don't have binary situations that are considered good or bad. Field tilt is interesting, but it doesn't show quality. A lot of dominant teams in poor form will end up with a massive team tilt statistic, as they don't pay quickly enough to dislodge the opponent's defence. A peak De Bruyne - Haaland combination will result in a low team tilt as they wil minimize team tilt with only two touches. When it comes to goalkeepers, there are players who build their career on playing to the statistic, rather than the result. De Gea, Navas, Lloris are a few examples of goalkeepers who don't try to minimize the goalscoring opportunities of the opponent, but try to maximize their low percentage shot stopping. A goalkeeper that picks off 4 out of 5 crosses, and going under a single cross will always be scored lower than a goalkeeper who ignores the crosses and let the attacker take 5 shots where they save 3 out of 5 even though they just allowed an extra goal. Because it were goals that supposedly had a low stopping percentage. It's why Courtois is the far better goalkeeper compared to Navas, even though fans don't really see it.
love this channel-super informative video as always. the indomitable human spirit is always finding newer and more creative ways to measure messi's dominance 🤣
I love average positions of players - shape and passing freq. amogn them. It is not exactely metrics, but says a lot. Espetialy when you compare the team when on the ball or of the ball.
Yo big respect for the content and the way you explain everything. I got few questions, maybe suggestions for future topics you could help us with. What is your opinion on long balls? Do they indicate a more direct style of play. Are they efective against high presing teams, or what is the best way tu use them, considering the shape of the team and other factors that you (obviously) know better than me. 😁 Also, about the phisicality of the players, taller vs shorter, is there a significant difference in terms of talent, quality, speed etc? I have so many more questions but i will subscribe to your patreon and maybe find answers there or ask more questions there. Again, big up for your work. Keep it going! 🤙
Hey man, thank you for signing up to the patreon, I promise I will be more active soon! I think long balls are definitely still viable, obviously it depends what players you have, but it's still a relatively effective way of moving the ball forward. I think with the increase in high pressing teams, the long ball has certainly started to make a comeback, but I'm not sure if it will ever go back to the levels it was at.. I'm planning on making a video on it eventually! Second question on physicality, I think that's the beauty of football, you can be Peter crouch or Lionel Messi, it doesn't matter what shape and size you are, just play to your strengths and use your body to your advantage
@@FootballMeta Thanks for the reply man. Really appreciate it. And of course i have so many more questions lol. Are you familiar with the whoscored website? And if you are, whats your oppinion on the way they interpret the data regarding team styles of play, strenghts and weakness. Also i think the biggest question there is, in order to think like a coach, or should i say, as 2 coaches when comparing 2 teams, what are the key factors I should consider? Or to put it in other words, when looking at the data is there any way I could teel how the manager plans the matches, and adapts during the game against certain teams? I know this may be an unclear question but i really want to start thinking like a manager, if possible, lol. Thanks and all the best!🤙
I don't really know much about analytics and stats regarding football, but I feel defending and defensive actions don't get the attention they deserve, in general but also here, all the metrics you discussed are targeted towards the offense and attack, but what about defense? are there any advanced metrics that can help analyze who the best defensive teams in the world are etc?
What a great video! It really helped explain some of these stats. I didn't know there are so many. Maybe more teams will try to play "moneyball" in the future lol
Which application or website uses these new advanced metrics? I have always been worried about the metrics and always wanted more. This is my best video of the year.
Amazing Video! I think PPDA is how many passes the opposition is allowed to make before your team makes a defensive action to attemp to steal the ball (tackles, interceptions, etc...) and not necessarily succeeding in stealing it, and that's why it's Passes Per Defensive Action. Correct me if i am wrong though.
Amazing Video! I think the PPDA counts how many passes the opposition are allowed to make before your team makes a defensive action to try and steal the ball (tackle, aerial duel, inerception, etc...) and not necessarily succeed in stealing the ball. Correct me if I am wrong.
Personally, I believe that we need to understand that we are dealing with a game where the team with fewer mistakes won the game. From this perspective, we should be focusing on how would a player react under certain scenarios and stats regarding the result of the reaction. I fully understand stats like this is not easy to collect but I think it is the core of football.
i play a lot of fifa with friends my playstay often is 3 shot on goal 2 goal. its very odd where if u look at start u say no way i won but u look at score u see a won so easily. my playstyle happen to be very strict if i shot its often very scary and most chances go away before even shooting those kind to be more scare then shots sometimes.
To be fair the statistics you showed in the beginning are easily recognisable since 1 had 12 shots on target while the other 5 saves meaning 7 goals. Then there was 13 shots on target with 12 saves against them which leaves us with 7-1
I was honestly surprised when researching this video just how dominant he actually is.. I knew he was the goat but every stat I checked it was Messi, and then everyone else lol
the only thing with the xova score i don’t like is if you have a target striker, a guy that’s good at holding the ball and dumping it off to other players, then maybe running in behind, that might be viewed as a negative value because the ball moves backwards, and he could control and hold a long ball near the 18, hold it long enough to receive help, dump it off to them, and they pass it back into him for a goal, which was only possible cuz of his play, but since it was a back pass it was a negative offensive value,, but maybe the squares are big enough that that doesn’t really make a difference i don’t know
Regarding shots Still can't see the value of counting shots hitting the posts or bar as being off target. A statistic I would like to see more of is how many possessions lead to an actual attempt on goal.
90 Premier League matches that have been played, 35 have been won by the team that had the most possession compared to 33 that were won by the side that saw less of the ball. Manchester United have won 10 of their 11 Premier League games this season when they have had less possession than their opponents.
What metrics are important? I can think of two that are pretty good. Goals scored. Goals conceeded. I find they generally give you a good idea of who won a game a football.
I think the fact that Messi came out top on all those attacking statistics gives a lot of credence to the data. I think the most pointless stat of the mainstream one's is possession. As you said without context it means little. Any team can fart around with ball between the back four but it's not going to hurt anyone. The other main problem with stats is they are gained against all manner of teams so predicting what might happen against the next team they play is not just a case of looking at their totals for this season. The commentators come out with some nonsense too, such as their favourite one of "such and such a team has only won one of the past six meetings here", yeah well most of these 22 players didn't play in those games so it's not exactly relevant is it!
Could someone please give a better explanantion about GPI? I get that it measures the number of "defenseive actions" done in the higher areas of the field, within 6 seconds of losing the ball, but how is the percentage arrived at? That's what I'm missing.
Your best video yet. It's crazy how stats influence one's perception and attitude to the game. And you won't believe ho fed up I get with xg and posession supremacists thinking these two stats are like Bible. Oh and shots even if their team made a lot of average quality shots.
So, if Neymar makes a pass during a counter-attack that was made close the midfield half-line but that pass alone allows Mbappe to progress unchallenged all the way into the box and then get and easy assist to Messi inside the box, he gets shit points for making a line breaking pass too far from the goal? These metrics are still heavily unbalanced towards positional style of play rather than Relationist/ Functional style which has won all the major international trophies as of late such as Champions League with Ancelottis Madrid, the World Cup and Copa Libertadores (and made two World Cup finalists)
BDP% is a very flawed metric. Firstly the fact that there are many reasons a teams pass completion percentage can fluctuate, it's not all down to pressing. Secondly and perhaps more importantly, they way they calculate BDP% is by finding that difference in passing completion rate, then *compares* it to the same metric of the opposing team. What it's doing is NOT describing how effective a teams press is. But describing how effective a teams press is only compared to the team they are facing. For example If Liverpool play Everton, Liverpool will have a massive BDP%, because they press high and Everton sit in and defend. Even if Liverpools press never wins the ball and Everton play through it every single time. It's comparing the teams presses on a game by game basis, it's not telling you how good a teams press is in a vacuum. So you can theoretically come out of a season with the highest BDP%, and yet never make a single chance from said high press. It's also not shifted for possession. So a team like Man City with very high possession will not feature highly, even though their high press is vital to the way they play.
I actually hadn't realized Brazil got so many shots on goal in that game. Felt like they were constantly losing the ball just outside the 18 and immediately getting countered, which I suppose isn't totally wrong given how many times they failed to score.
Brazil doesn't get many good hots, more shots from outside the box, just in hope.
And the game was decided at around 30 Minutes. So germany doen't have to need to have a high focus on the defence.
if you watched the game Brazil and Germany had similar play time Germany just scored very efficiently
The problem they had in that game was playing David Luis as centreback
Germany actually let their foot off the gass and let Brazil have the ball for most of the second half.
that game was an anomaly. With the correct sample size, the other team would more likely won the game
When you find out the score counted from the shots on targets and the saves
Next level analysis 🤣
I did the same
@@FootballMetai still can't believe those score were from germany vs brazil
@@jiltedpredator9638 yeah the german counters were brutal efficient
@@FootballMeta hope your time as learning coaching is going well, thanks for these great videos
Literally searched for field tilt yesterday on yt and NOTHING good popped up. Here this is today, top tier.
This guy is genuinely the most interesting youtuber when it comes to football tactics.
Messi topping these attacking metrics with his high amount of goals is insane
To be fair, it's Ligue 1
@@uncleseekx shit take
@@uncleseekx shit take
@@uncleseekx
1: this year ligue 1 > liga
2: he did the same in laliga
3: u show u didn't understand these stats, especially sga
@@MrTU550 Both Laliga and Ligue 1 are average 😄
Leo Messi dominating these progression and chance creation metrics at the tender age of 35... absolutely insane
Damn, he is dominating in a weak league in an overpowered team. What a player.
@@Pomon60 When did psg became overpowered with no chemistry. You dont know ball😂😂
@@Pomon60 and they still only won the league by 1 point with a team worth x3 as much as the 2nd strongest french team lol
@@Pomon60
With Argentina.
Statistical analysis that takes game state into account is something I'm really interested in.
Seeing how individual and collective player performances respond to various states of play such as; being a goal down, having a lead, being a man down etc. And perhaps time should be a considered variable in some of this. The urgency to score an equaliser isn't the same in the first half as it is in the second.
Would love to see a vid on how you watch a game and how you pick up on the patterns and tactics being used. Great video as always 👍🏻
Damn Messi really is a Steph Curry/Jokic in how he just dominates all advanced stats. Different sports with different context obviously but cool to see regardless.
Literally
Jokic & Mj are crazy in advanced stats
I bet ur jimmyxroller enjoyer too?
Keep in mind that Messi does not share the same league with other top performers, except for Mbappe and Neymar, which is also why they have great stats. Meanwhile all NBA stars compete against each other constantly. You can check Messi's stats in the two legs against Bayern.
@@schlauchflicker or the world cup or his whole barcelona career
@@schlauchflicker Damn Penaldo fans are evolving
@@schlauchflicker my good how much are you gonna try to invalidate messi lol
I just love the way you snuck in Cucurella when talking about low xT
The analysis and video quality you do is world class
Enjoyable and interesting video as always Meta. Think a collab between yourself and Statman Dave would be a cool watch.
Not sure I'd go as far to say some stats should be ignored but think it comes down to the use of said stat along with other stats personally ie with the stats you highlighted in the video. I do wish there was slightly more importance on advanced stats rather than say just possession
Great explanations of the stat upgrades! Would love it if you did another video applying those new statistical tools to the Germany-Brazil game you applied the traditional stats to at the beginning of the video.
yeah, at the end of video I expected those new metrics for that 7-1 match.
7:36 that Marc Cucurella pop up is class 😂😂
You are like the UA-cam version of soccernomics great work
Was that marc cucurella who popped up at 7:37 ? 😂😂
Im a college soccer player and your videos have helped me improve my own tactical awareness keep up the great content
The speed of ball moving from player to player in opposite side of the field is a very good indicator of a good offensive performance. But few important things should be taken in consideration sach as total amount of completed passes and whenever they reach opposite box or not. The key thing is this - I believe metrics which logically detect ball speed during attaking actions and have it in it's formula harmonically with pass quality and danger to opposite goal, will have high correlation with final result.
Great video. Also shows are Messi is way better football player than others even at age 35. Shame that Football Manager makes him 10. best and Ballon d’or leaves him outside of top 30 just because media press. He was not just goals and assist an even at his 2022 season he was 3rd best player in the world statistically in whoscored even he has 6 goals which gives most of the points of attackers. Lewa and Mbappe was 1-2 and they had 30-35 goals.
It's astonishing that Jurgen Klopp somehow using old century tactic (man-to-man marking) with extra intensity and now it becomes more reasonable approach for fast pace league.
Inverting the Pyramid
7:10 You have a mistake in this table, there is 0,032 got 2 times instead of 0,043.
this is exactly morocco's coach vision, and that's how morocco managed to finally reach the semi finals in the world cup
Are those stats from Messi accumulated over career or just this season. Cuz if latter it’s mad impressive given his age compared to everyone else on the ranks 😮
Just this season, it's crazy
0:07 for me, the most important stat is the saves stat. If the opponent gets 12 shots on target and your keeper only saves 5... you are in trouble
Can't believe I've never come across this channel before. Very interesting and well presented, subscribed.
I love this channel so much, always great content
Great video. As someone who feels well versed in advanced stats for basketball and American football, but also really loves soccer, this was a helpful primer. Going well beyond xG is really helpful, as I know it's a helpful metric, but there are so many things that underpin that metric and may prove more helpful in evaluating players and teams.
Your explanations of these somewhat complex stats is off the chats because you are a very clear communicator. Keep up the good work guy 💪🏿👍🏿❤
Great video again. I hope you doing good with your coaching qualification
Thanks bro!
Great video!
This will give me some context in my sessions.
I’ll definitely study it deeper and take notes👍
Interesting content. I fully agree with the idea that we need advanced stats in tv broadcasts! I’m wondering if field tilt is the best option to replace possession. It’s not really accurate as a representation of a similar concept. But some breakdown (by field third, game state, etc) would be great. + some xThreat since it’s really straightforward to implement
Great presentation in readily useful. Liked and subscribed!!
Seeing as these stats are here to stay... this is a decent breakdown of how to gauge how someone's actually effecting a game. Good job my man 🤟
With the implementation of Semi-Automatic Offside call like in the World Cup, you can have a 3d representation with very high refresh rate of every player for the whole match. I think it will be interesting to extract some stats from that - for example the FoV of each player, the amount of times he scan for information around the pitch (or Scan per Minute :p), how many other player's positions did he scan, etc. I imagine someone like Odegaard would score pretty high in these metric.
Scan is useless. It depend of the decision you make
this is what I want to do for the NHL - the reconstruction there and things like body contortion matter even more for hockey than soccer/football
Wasn't aware of some of these metrics! Fascinating! For BDP and other metrics though, there are confounding factors and for better understanding we need to take into account the opposition team and how they play and also the live score since needs are changing based on this. So, it's different if you chase the score or not and it's different if you play with an aggressive team or not.
This video is very informative. I would have subscribed to this channel if I was not already a member just purely on the strength of this video.
This is TOP TIER Stuff wow! Subscribed!
It's 2nd grade Maths :/
0:04 The “shots on target” and the “saves” statistics are a dead giveaway as to who won the game; and the final score.
Great video! Those are 2nd level aggregated stats, I would like to see a video about positional and moving stats - the ones which catch how well the player is positioning without ball in attack and defence phase of the game respectivelly.
10:25 this metric should be calculated as percetange variation from average value rather than raw percentage diference
Post match analysis by broadcasters Should include all this metrics !!! Great channel
Statistics in footbal are problematic for people who don't know what they're looking as you don't have binary situations that are considered good or bad. Field tilt is interesting, but it doesn't show quality. A lot of dominant teams in poor form will end up with a massive team tilt statistic, as they don't pay quickly enough to dislodge the opponent's defence. A peak De Bruyne - Haaland combination will result in a low team tilt as they wil minimize team tilt with only two touches. When it comes to goalkeepers, there are players who build their career on playing to the statistic, rather than the result. De Gea, Navas, Lloris are a few examples of goalkeepers who don't try to minimize the goalscoring opportunities of the opponent, but try to maximize their low percentage shot stopping. A goalkeeper that picks off 4 out of 5 crosses, and going under a single cross will always be scored lower than a goalkeeper who ignores the crosses and let the attacker take 5 shots where they save 3 out of 5 even though they just allowed an extra goal. Because it were goals that supposedly had a low stopping percentage. It's why Courtois is the far better goalkeeper compared to Navas, even though fans don't really see it.
love this channel-super informative video as always. the indomitable human spirit is always finding newer and more creative ways to measure messi's dominance 🤣
I love average positions of players - shape and passing freq. amogn them. It is not exactely metrics, but says a lot. Espetialy when you compare the team when on the ball or of the ball.
Yo big respect for the content and the way you explain everything. I got few questions, maybe suggestions for future topics you could help us with.
What is your opinion on long balls? Do they indicate a more direct style of play. Are they efective against high presing teams, or what is the best way tu use them, considering the shape of the team and other factors that you (obviously) know better than me. 😁
Also, about the phisicality of the players, taller vs shorter, is there a significant difference in terms of talent, quality, speed etc?
I have so many more questions but i will subscribe to your patreon and maybe find answers there or ask more questions there.
Again, big up for your work. Keep it going! 🤙
Hey man, thank you for signing up to the patreon, I promise I will be more active soon! I think long balls are definitely still viable, obviously it depends what players you have, but it's still a relatively effective way of moving the ball forward. I think with the increase in high pressing teams, the long ball has certainly started to make a comeback, but I'm not sure if it will ever go back to the levels it was at.. I'm planning on making a video on it eventually!
Second question on physicality, I think that's the beauty of football, you can be Peter crouch or Lionel Messi, it doesn't matter what shape and size you are, just play to your strengths and use your body to your advantage
@@FootballMeta Thanks for the reply man. Really appreciate it.
And of course i have so many more questions lol.
Are you familiar with the whoscored website? And if you are, whats your oppinion on the way they interpret the data regarding team styles of play, strenghts and weakness.
Also i think the biggest question there is, in order to think like a coach, or should i say, as 2 coaches when comparing 2 teams, what are the key factors I should consider? Or to put it in other words, when looking at the data is there any way I could teel how the manager plans the matches, and adapts during the game against certain teams?
I know this may be an unclear question but i really want to start thinking like a manager, if possible, lol.
Thanks and all the best!🤙
Great video man.
I don't really know much about analytics and stats regarding football, but I feel defending and defensive actions don't get the attention they deserve, in general but also here, all the metrics you discussed are targeted towards the offense and attack, but what about defense? are there any advanced metrics that can help analyze who the best defensive teams in the world are etc?
What a great video! It really helped explain some of these stats. I didn't know there are so many. Maybe more teams will try to play "moneyball" in the future lol
Which application or website uses these new advanced metrics? I have always been worried about the metrics and always wanted more. This is my best video of the year.
Just subtract saves from shots on target
This man deserves at least a million subscribers
Best Football analysis video on UA-cam.👏👏👏
What about packing, we use that in Germany often, it is the count how many players are taken out with a single pass
Ah you're right, that's a great one! I got lost in statistics and I missed that one haha at least it leaves room for a sequel 😉
Not sure this one is relevant
Quality as always Meta
This is really insightful. Technology has made football much more interesting for the analystos like me
Good clear explanations!
Thanks mate it helped me a lot understanding the game
Amazing Video! I think PPDA is how many passes the opposition is allowed to make before your team makes a defensive action to attemp to steal the ball (tackles, interceptions, etc...) and not necessarily succeeding in stealing it, and that's why it's Passes Per Defensive Action. Correct me if i am wrong though.
What an amazing video! Thank you very much!
I never knew Messi was this good until I read his advanced stats
This fundamentals really help to know more about deep lesson in the pitch. Absolutely it's help's to spread the view of analysis
Was hoping to see the analysis with new statistics of the game Brazil vs Germany at the end🥲
Amazing video with great examples
Thanks! Very informative as usual!
This channel is the best
my favourite statistic is the scoreline, never fails to tell me who won
Amazing Video! I think the PPDA counts how many passes the opposition are allowed to make before your team makes a defensive action to try and steal the ball (tackle, aerial duel, inerception, etc...) and not necessarily succeed in stealing the ball. Correct me if I am wrong.
Personally, I believe that we need to understand that we are dealing with a game where the team with fewer mistakes won the game. From this perspective, we should be focusing on how would a player react under certain scenarios and stats regarding the result of the reaction. I fully understand stats like this is not easy to collect but I think it is the core of football.
i play a lot of fifa with friends my playstay often is 3 shot on goal 2 goal.
its very odd where if u look at start u say no way i won but u look at score u see a won so easily.
my playstyle happen to be very strict if i shot its often very scary and most chances go away before even shooting those kind to be more scare then shots sometimes.
To be fair the statistics you showed in the beginning are easily recognisable since 1 had 12 shots on target while the other 5 saves meaning 7 goals. Then there was 13 shots on target with 12 saves against them which leaves us with 7-1
Messi is the GOAT. He truly is. and this video is a testament to it.
I was honestly surprised when researching this video just how dominant he actually is.. I knew he was the goat but every stat I checked it was Messi, and then everyone else lol
@@FootballMeta Which defenders topped these stats?
@@FootballMetahe’s unbelievable
It depends, given that most of the stats we looked at were offensive, players like di Lorenzo and Trent usually score quite high in xT and xOVA
One man keeps topping everything
You can sense check an individual attacking metric by seeing if Messi is an abnormally high outlier in it
I am an analytics profesional and football enthusiast. Looking for this kind of content for long time.
No Packing Rate? No Impect?
Anyway: great infos, great video!
Thanks for this one! Great Video
the only thing with the xova score i don’t like is if you have a target striker, a guy that’s good at holding the ball and dumping it off to other players, then maybe running in behind, that might be viewed as a negative value because the ball moves backwards, and he could control and hold a long ball near the 18, hold it long enough to receive help, dump it off to them, and they pass it back into him for a goal, which was only possible cuz of his play, but since it was a back pass it was a negative offensive value,, but maybe the squares are big enough that that doesn’t really make a difference i don’t know
Regarding shots Still can't see the value of counting shots hitting the posts or bar as being off target.
A statistic I would like to see more of is how many possessions lead to an actual attempt on goal.
What’s exactly the difference between XThreat and XOVA?
Very good video sir❤️
90 Premier League matches that have been played, 35 have been won by the team that had the most possession compared to 33 that were won by the side that saw less of the ball.
Manchester United have won 10 of their 11 Premier League games this season when they have had less possession than their opponents.
Great Video !
This is excelent, thank you so much for this
What metrics are important? I can think of two that are pretty good.
Goals scored.
Goals conceeded.
I find they generally give you a good idea of who won a game a football.
Great vid!
I think the fact that Messi came out top on all those attacking statistics gives a lot of credence to the data. I think the most pointless stat of the mainstream one's is possession. As you said without context it means little. Any team can fart around with ball between the back four but it's not going to hurt anyone. The other main problem with stats is they are gained against all manner of teams so predicting what might happen against the next team they play is not just a case of looking at their totals for this season. The commentators come out with some nonsense too, such as their favourite one of "such and such a team has only won one of the past six meetings here", yeah well most of these 22 players didn't play in those games so it's not exactly relevant is it!
Could someone please give a better explanantion about GPI? I get that it measures the number of "defenseive actions" done in the higher areas of the field, within 6 seconds of losing the ball, but how is the percentage arrived at? That's what I'm missing.
Shooting Goals Added is a very interesting stat
Your best video yet. It's crazy how stats influence one's perception and attitude to the game. And you won't believe ho fed up I get with xg and posession supremacists thinking these two stats are like Bible. Oh and shots even if their team made a lot of average quality shots.
0:09 statistics actually said the scores. Goals = ShotsOnTarget - EnemyTeamSaves, so...
Left team goals: 12 - 5 = 7
Right team goals: 13 - 12 = 1
Love your content
So, if Neymar makes a pass during a counter-attack that was made close the midfield half-line but that pass alone allows Mbappe to progress unchallenged all the way into the box and then get and easy assist to Messi inside the box, he gets shit points for making a line breaking pass too far from the goal? These metrics are still heavily unbalanced towards positional style of play rather than Relationist/ Functional style which has won all the major international trophies as of late such as Champions League with Ancelottis Madrid, the World Cup and Copa Libertadores (and made two World Cup finalists)
We need a video on the 7-0 game!
Does field tilt only take into account passes or touches as well?
@Football Meta can u explain the 3-2-4-1 formation which pep uses and any other managers please 🙏
EXCELLENT VIDEO. THANK YOU
Cucurella's little appearance 😆
BDP% is a very flawed metric. Firstly the fact that there are many reasons a teams pass completion percentage can fluctuate, it's not all down to pressing. Secondly and perhaps more importantly, they way they calculate BDP% is by finding that difference in passing completion rate, then *compares* it to the same metric of the opposing team. What it's doing is NOT describing how effective a teams press is. But describing how effective a teams press is only compared to the team they are facing.
For example If Liverpool play Everton, Liverpool will have a massive BDP%, because they press high and Everton sit in and defend. Even if Liverpools press never wins the ball and Everton play through it every single time. It's comparing the teams presses on a game by game basis, it's not telling you how good a teams press is in a vacuum.
So you can theoretically come out of a season with the highest BDP%, and yet never make a single chance from said high press. It's also not shifted for possession. So a team like Man City with very high possession will not feature highly, even though their high press is vital to the way they play.
How can a team improve these stats with specific tactics
these stats are very useful but where do i even get these
Need these for score predictor models
The GOAT casually topping every category
Nothing surprising
@Football Meta what is your opinion about Challenge Intensity metric?