Unleashed Tyrese? A Profile of Tyrese Campbell

So, Tyrese Campbell, eh? A divisive figure among many Stoke fans, so lets get the the bottom of it once and for all.

Is he actually any good? Well, long story short, yes.

But let’s look into the long story a little bit deeper. What is he good at? Where is he best used? Will he be my best friend? All this and more (maybe) answered below.

Who?

Let’s start off with an overall picture of the type of attacker Campbell is. Using the radar plot from our Player Stats Hub, we can build an insight into what style we’re looking for in the player.

From this, I draw three major conclusions.

Firstly, Campbell is an excellent creative force, in the top 10% of expected assists (xA – a measure of how likely a pass is to result in a goal) per 90, the top 10% for crosses per 90, alongside being in the top 25% for key passes (passes putting a player in a clear goalscoring situation), passes into the area, and deep completions (passes to the zone <20m from the opponent’s goal).

Secondly, he’s on an incredible finishing run, despite getting lower-value chances than almost 3/4 of forwards in the league, he scores above his xG by 0.07 per 90, in the top 25%. More on this later.

Finally, it’s clear he’s a very strong ball carrier, above 75th percentile in progressive runs (definition here), dribbles, dribble success rate, touches in the box, and offensive duels. Campbell is a strong forward who wins his duels and carries the ball incredibly well, taking on defenders and progressing play towards goal.

Surprisingly for many, he’s actually about average at winning aerial duels too. Take that, sarcastic cheer-ers.

He’s clearly a very well-rounded forward, but let’s dig a bit into each of these aspects, starting with his finishing.

The Boy’s On Fire

It’s actually incredibly rare for players to overperform their xG over long periods of time, so the stats above for Tyrese’s finishing are a little suspicious at first glance. Is he just on a hot streak? Well, weirdly, no.

Campbell has outperformed his xG in every season as a footballer besides his first 5 games at Stoke, played exclusively as a substitute in Paul Lambert’s doomed side.

Below we have a plot of Campbell’s cumulative goals and xG over his whole league career on the left, and a plot of his cumulative xG overperformance (i.e. his goals minus xG) over the same period of games. It’s clear he’s an oddly consistent performer.

Why though? If this is such an oddity, why is he such a consistent finisher? Well it could be that this is only a sample of just over 7000 minutes – just over 80 full games, but I think there’s some more to this that we can use to explain Campbell’s quality.

If You Have To Ask, You’re Streets Behind

One thing that shows up clearly in Campbell’s goalscoring is his preference for two zones either side of the D, just within the box.

Looking at his last 75 shots we can see a clear penchant for scoring from these two areas.

Image: WyScout

Due to this area obviously looking like a phone (right?), and definitely not due to me forcibly trying to hammer in the word ‘Ty’ to something, I’ve decided to coin this the ‘Ty-phone‘ zone. It sounds kind of like Typhoon too, which is a cool word. It’s verbal wildfire. I’m so sorry.

The ‘Ty-phone zone

Campbell’s quality turns these lower-value, lower-xG chances into goals at a disproportionate rate because of his specific skill in curling the ball to the far post.

We can delve into a few examples to see this in action.

First off, let’s look at his 2nd, and Stoke’s 3rd, away at Sunderland.

Click each image to zoom in.

Campbell gets the ball on the edge of the area to the left, drives at the back line, and attempts a shot.

It comes back on his right foot, and he curls it to the far corner through a crowd of defenders. This had 0.06 xG according to Infogol.

We saw a similar goal from the other side last season at home to Birmingham.

Click each image to zoom in.

Campbell takes it on the right outside the box and immediately drives at the defenders.

From there he cuts inside past a Birmingham defender and and whips it into the far corner.

Again, Infogol has this as a 0.06 xG chance for the average player.

Finally, we go back to the lockdown season vs. eventual promotion-winners Brentford.

Click each image to zoom in

Tyrese picks the ball up wide left. comes inside on his right foot, beating two defenders, and whips it again into the far corner.

Infogol has this chance at a tiny 0.04 xG.

So we have 3 very similar finishes here, and Campbell has done this on several more occasions, also adding his skill of driving the ball across the keeper, and powering it home at the near post as vs Peterborough in 2021.

But Hold Your Horses

Goals can be very deceiving, particularly when there are only 31 of them, so is there a different way we can quantify Campbell’s finishing skill? The answer, predictably, is ‘kind of but not entirely’.

Whereas normal expected goals (xG) refers to the probability of a player scoring a given chance at the point of a shot being taken, Post-Shot xG (PSxG), refers to the probability of a shot being scored after it has been taken.

This includes features such as the power of the shot, where it is headed in the goal, swerve and trajectory, and players unsighting the goalkeeper.

As such, one way to infer the quality of a player’s shooting is to compare the PSxG with the xG, to see how much a player’s shots improve the quality of chances they get.

Now, as a point of order, this is by no means a definitive measure of finishing quality. As with all statistics, this is just one, very imperfect measure by which we can gain some insight into what might be happening.

As an example, a shot near the top corner that just goes wide will receive 0 PSxG, whereas a slow dribbling scuff that goes straight into the keeper’s arms will receive a PSxG of above 0.

But, as an indicator, we can still use it to gain some insight, and as such we have the two plots below, showing Stoke players’ PSxG overperformance (i.e. the PSxG minus xG) vs the average quality of their chances (xG/shot).

Click each plot to zoom in

What we see here is another insight into Campbell’s quality of shot.

In the left hand plot, including all shots, we see that he’s added around 0.25xG to his chances.

In the right hand plot, we have discounted blocked shots, as these are typically ascribed a value of 0PSxG, whether struck into good areas or not.

In this case Campbell stands out alongside long-shot expert Lewis Baker. He has added over 1.1xG to his chances via his shooting skill this season, another indication that he has quality in striking the ball.

Tyrese, The Creator

Well, I think we’ve built up a solid idea of his finishing, so what about that glorious vat of creativity we saw in the radar? Well, let’s expand it a little and take a closer look.

Well, you’ll be glad to hear that Campbell is one of the most creative players in the league in his position.

Particularly impressive are the deep completions, xA and key passes, all signs of a quality creative player.

He progresses the ball exceptionally well, and the number of shot assists that are key passes is a good measure of this quality.

Let’s take a look at how Tyrese likes to get his assists, and I promise I won’t make up a new name thing for it this time.

Campbell is in the top 15% of crossers even compared with AM/Wingers, and carries the ball into the area more than 89% of forwards in the league (FBref).

He also attempts in the top 11% of take-ons among forwards, so we can tell that he likes to take players on, alongside getting lots of crosses in.

It’s also obvious from his heatmap below (for Campbell’s whole senior career) that he has a preference for running wide, with lots of touches wide of the box. Alongside that, we see those touches inside the corners of the box, in that Ty-Phone area again.

Image: Wyscout

We can see lots of this in action in his last assist, vs Swansea.

Tyrese gets the ball in a similar position to the goals explained above, where he scores in the Ty-phone.

Again, he drives at the defence, but this time he runs on the outside, beating a defender to cut the ball back to Laurent, who fires it into the top corner.

Click each image to zoom in

The same happened in the game against Huddersfield in January.

Campbell gets the ball on the edge of the box, again beats a defender and cuts it back into a dangerous area.

Brown gets two bites at it and then scores.

The cut-back from a take-on into wide areas is something Campbell is really bringing into his game this season.

Most importantly, many of these passes, cutbacks and crosses are not just high-volume, but also of a high-quality, leading to Campbell’s high expected assist numbers.

The skill Campbell has when attacking the box with the ball is rare at this level, and his output reflects that.

Spreading His Wings?

Now what about positioning? Campbell is a player who is often touted as ‘better from the wing’ by fans, and there’s no doubt that his skill-set in carrying the ball from deeper, and attacking the box from the half-spaces is fantastic.

That being said, does he have to play wide to play well? The answer is probably no.

Positions in modern football are a difficult concept to easily tie down. As a brief example, playing Gayle as a central striker and Brown as a central striker gives you two very different things. One will push higher on the back line and one will drop deeper.

What we do see is that no matter which ‘set position’ across the front line Campbell starts in, he still tends to get touches of the ball in deeper and wider positions, where he’s clearly dangerous.

We can see that in his heat maps below, each showing Campbell’s senior career touches when starting wide left, centrally, and wide right.

Click each image to zoom in

Simple ‘formations’ as we know them are not completely useless, but this is a good example where they are not fully describing the game in front of us.

As a central striker in Michael O’Neill’s 352, Campbell would still drop into many of the same positions he would occupy as a wide man in Alex Neil’s 433.

In terms of numbers, his output is still good in all positions too, although there is an increase when he starts wide, which I will explain further.

The table below shows his output per 90 minutes in each position in his league career so far.

Metric\PositionWide LeftCentralWide Right
Minutes91141802013
Goals0.490.340.45
Assists0.300.110.22
xG0.280.290.23
xA0.180.090.13
Dribbles/success rate %6.72 / 61.8%3.57 / 51.8%6.08 / 55.9%
Crosses/accuracy %5.73 / 29.3%1.79 / 25.3%3.00 / 34.3%
Passes to penalty area/accuracy %3.75 / 44.7%1.53 / 47.9%2.86 / 54.7%
Data: Wyscout

You may look at that and immediately conclude that Campbell is better playing wide, but remember many of these numbers will be due to the change in play style and not necessarily indicative of a player who is ‘better’ in one position than another.

As a striker, Campbell will be much more focused on running in behind and creating space for others, for example, which does not show up in his own numbers.

What we can say is that Campbell is great at dropping deep and driving at defences.

BUT….

As alluded to above, there’s another side to his play too. Let’s look at one of his goals from last season, away at QPR.

Click each image to zoom in

As Vrancic gets the ball, Tyrese immediately sprints forwards.

He breaks quickly through the dropping defence, into a huge open space to slot home from the edge of the box 1v1.

We saw a similar goal from Campbell against Preston this season too.

Click each image to zoom in

Baker receives the ball on the edge of Stoke’s box, and immediately plays it high and long for Campbell.

With a 10 yard deficit to make up, Campbell gets the ball before the Preston defender, cuts into his Ty-phone Zone and finishes in his trademark style.

So although Campbell’s skill running at defences & progressing the ball is clear, he’s also a huge threat in behind with his pace and particularly his 1vs1 finishing skill.

Conclusions?

So, what have we learned? Well, we’ve learned that I have some kind of obsession with Tyrese Campbell and/or numbers.

We’ve also learned that the numbers are very promising for his career, he’s a quality finisher of chances and has a skill level for progressing the ball that is rare among peers in this league.

He can play wide or central, but whichever you choose, you’d be silly not to try to get him involved in play as much as possible.

Thanks to any and all readers, and please feel free to comment and follow on Twitter at @potterlytics.

Should you wish to donate to help with the running costs of the site, and the data subscriptions we use, please feel free to visit our donations page here. Any and all help is very much appreciated!

George

What a Difference an O’ Makes – How Stoke Have Changed Under Alex Neil

It’s been just over 6 months since Alex Neil took over from his predecessor at Stoke City, and it’s tough to pretend there have been more ups than downs during his tenure.

As we approach the reverse fixture of that fateful day in August when Michael O’Neill sealed his fate, I can’t help but wonder just how have Stoke City changed.

With John Coates’ clear fandom of Alex Neil, having tried to make him the manager in 2019, there appears to be a lot of trust in Stoke’s new style, and despite not having his own team just yet, we’ve seen some big shifts so far.

Let’s take a look into some of the stats to see what insights we can gain.

Everything’s Coming Up Milhouse

First off, we can take a look at how Stoke’s expected goals (xG, explainer here) numbers have changed over the course of the shift from Michael O’Neill to Alex Neil.

For this, we’ll use a plot of 5 game rolling xG/game for and against.

Since the start of 21/22, Stoke have been inconsistent, which is a surprise to no-one.

Big shifts in both xG for and xG against show a the numbers expected of a mid-table side. Add onto this that Stoke have been below-average at finishing and well below average in goalkeeping, and you find a lower mid-table outfit.

But, since the World Cup, Stoke have been steadily improving defensively, to the point where they are expected to concede a goal only once every 150 minutes.

There’s also been significant improvement in creative output over the past few games, but this is a shorter trend, more likely to be as a result of playing against some poor sides in Blackpool, Huddersfield, and Swansea.

Nevertheless, Stoke’s current output, if they can produce it even over half of a full season, is that of a side at least challenging for the play-offs.

Unfortunately, Stoke’s xG numbers are pretty far away from their results, and we can look at this through the finishing statistics below. The plot shows the finishing quality of Stoke (their non-penalty goals minus their non-penalty xG per 90 minutes) against the average quality of their shots (xG per shot).

In both of the past 2 seasons, Stoke have been underperforming their expected goals by 0.1 xG per 90 minutes, which in 2022/23 is the 4th worst value in the league.

We also get a peek into one of Stoke’s style shifts this season, as their average shot quality has reduced from 0.11 xG to below 0.09 xG.

Interestingly, we can see that although the average shot quality is lower this season, Stoke have been taking about a shot and a half more per game, possibly another hint towards the change in playstyle. This plot shows the xG per shot, against the number of shots taken per 90 minutes.

Maybe there’s a clue about origin of these changes in the way Stoke have been shooting in their creative stats.

Each of the following plots is compared with the other teams in the Championship in that season. The length of each bar (and the colour) represents the percentile rank.

Click on each plot to zoom in.

The major takeaway jumping out here is that Stoke are one of the most crossing-oriented sides in the league this season.

Although Stoke crossed more than average last season, this season they’ve been putting more crosses into the area than all but one side, and they’ve also increased the number of set pieces that lead to shots too.

The expected assists values are also increased, indicating that Stoke’s creative players are putting the ball into better areas more often for others, but the low xG from assists value shows they’re not being converted to high-value chances.

Interestingly, and probably a little surprisingly, we see that Stoke were very potent last season at creating shots from defensive actions (e.g. tackles, interceptions, and blocks), creating 20 shots over the season from their total 925 shot creating actions.

Personally, I’m a little uncertain of FBref’s definitions here, as it only includes the action directly before a shot. This means that a player making an interception and then playing his teammate through on goal does not count as a shot from a defensive action, so I’m going to keep away from using this in too much depth.

But, for reference, an example of this is Lewis Baker’s late equaliser away at Barnsley.

As the ball bounces out to Quina, Chester rushes in and nicks the ball forward. Baker rushes onto it and thwacks a strike into the far top corner.

We’ve built a little bit more insight into Stoke as a team who like to work on set pieces and get the ball into the box, as opposed to the Stoke of last season who preferred to pass into the box.

Return of the build-up phase?

Let’s take a look at the build-up, where we will see a much clearer view of the changes that have taken place.

Click on each plot to zoom in.

First off, it’s incredibly clear that 2022/23 Stoke are much, much quicker at moving the ball forwards. In fact, they attempt more long passes than any other team in the league.

Contrasting this with 21/22, when Stoke completed 15 fewer long passes per game, and almost 50 more passes, alongside almost 40 more short passes per game, we see a side that has moved away from calm possession play and into transitional football.

We can further cement this by looking at the average pass progression, a measure of how much closer the average pass gets to the opposition’s goal. Stoke’s has increased from well below to well above average between the 2 seasons, indicating a willingness to get the ball forward further with each pass.

We see a similar story in the ratio of touches Stoke take in the attacking third compared with other areas of the pitch, deemed our ‘Attacking 3rd Touch Ratio’. This has increased significantly since last season, indicating that Stoke take a larger portion of their touches in the attacking third, and therefore that they get the ball forward quicker.

We can see this in the differences between Stoke’s attacking build-up vs Huddersfield under Michael O’Neill in August 2022, and vs Huddersfield under Alex Neil in February 2023.

First off, Huddersfield away under O’Neill:

Click each image to zoom in.

We see here that as Flint receives the ball, he plays a short pass off to Taylor. Taylor then puts it across the line to Wilmot.

All the while, Stoke have a clear shape of a back 3 with Flint deeper as an emergency passing option, Laurent dropping into the 6 position, and the wing backs pushed up wide offering options in space.

Stoke move the ball back across to Taylor and put it out to Sparrow, who plays it back when pressured. Laurent then receives the ball and turns, moving into space and getting the ball wide to Tymon.

This patient passing, waiting for an opening, was a major part of Stoke’s build-up under O’Neill. But what are the differences this season?

Moving onto Huddersfield at home under Neil:

Click each image to zoom in.

In this case, we see Jagielka returning the ball to the keeper, Šarkić, as he is pressed by Huddersfield players. Šarkić immediately shapes to punt the ball long, but instead opts to pass forward to Sterling.

Already we’re seeing a big shift from the calm passing of O’Neill, and in this instance Stoke’s defenders have split much wider to allow the ball to be progressed more quickly. The wingers and full backs are wider to allow progression down the channels, and the midfield are more tightly bunched together to prevent a counter through the now-open centre of the pitch.

Sterling turns, takes on a challenge from a Huddersfield wide player, and plays it forwards again to Brown, who runs from the halfway line to the edge of the Huddersfield box. He plays a ball in to Gayle who miscontrols.

We see here the difference, Stoke shape up much more open under Neil in order to progress the ball quicker, and Šarkić is used as the spare man for possession, ready to play it forward quickly if needed.

The passes between defenders are far less frequent, and the ball moves forward very quickly.

That said, we have seen in recent matches a return of the build-up phase to Stoke’s play, and particularly vs Blackpool the centre backs would draw the press before playing incisive forward passes.

But we don’t always have the ball, and our work off it is just as interesting as on it. Or at the very least, if you’ve read this far then you may as well keep going.

Dr. Midblock or: How I Learned to Stop Worrying and Love the High Press

We turn again to our trusty radar plot to check how Stoke’s defensive work has evolved with the change in manager.

Click on each plot to zoom in.

A couple of big shifts here, but we can note that Stoke are actually a side who tackles efficiently but fairly rarely when adjusted for possession, across both seasons.

However, most interesting to me is the jump in what I have called the Tackle Depth Index. This measures the average 3rd in which tackles take place, and for Stoke this has jumped from about average to well above average since Neil’s appointment.

This indicates a team doing its defensive work much higher up the pitch, and the increase in both middle and attacking 3rd tackles, alongside a decrease in defensive 3rd tackles, further implies that Stoke are pushing their defensive line further toward the opponent’s goal.

When combined with this data, the increase in the number of blocks indicates a side that will put more bodies closer to opponents as they move towards Stoke’s goal, and we see that reflected in the PPDA numbers too, as below.

PPDA, or Passes allowed Per Defensive Action, refers to the number of passes a team allows the opponent to make before attempting a defensive action, such as a tackle, interception, or block.

This is a metric that gives an indication of the pressing intensity of the side. Although like all stats, it’s not perfect, it does provide useful insights.

Remember, a lower PPDA number indicates a team presses with more intensity, as they allow fewer passes before making a defensive action.

We can see that Stoke have managed to increase their pressing intensity, whilst at the same time slightly improve their defence.

This pressing has been really visible in recent games against Swansea and Brighton, where Stoke have been very efficient at setting traps for the opposition to play the ball into.

Looking at the Brighton game, Stoke are playing a far superior side who are incredibly adept at drawing a press and finding space to play through, but they more than held their own for large portions, forcing Brighton to play longer passes into their strikers or lose the ball in midfield.

We can see from the Wyscout data below that Stoke completed a lot of duels (and won more than 50% of them) in the opposition half and defensive third.

Duels vs Brighton Image: Wyscout

We can also see from the ground duels blow that Stoke competed for the ball a significant amount in Brighton’s half.

Ground Duels vs Brighton. Image: Wyscout

Stoke allowed Brighton to play out through the centre halves, and then set traps that took advantage of their athleticism to win the ball back when Brighton tried to progress through the lines. It was incredibly brave and something that had worked very well in the previous away fixture at Swansea.

Unfortunately, Wyscout don’t have access to the Brighton footage, but we can show the same process in action against Swansea below.

Click each image to zoom in.

As the ball is played back to Swansea’s keeper, Gayle starts to press. Brown and Campbell guard an area behind the wider centre backs, and Smallbone drops with the Swansea midfielder looking to find space.

As the ball moves out to the left centre back, Brown engages.

This, along with the close marking of passing lanes and players from Smallbone, Gayle, and Campbell, forces the Swansea player to go long.

As he goes long, Pearson is marking the wing back, and regains the ball.

As he does so, we see that Wilmot and Laurent were also closely marking players in the midfield, meaning any longer pass from Swansea would likely result in a duel in Stoke’s favour.

This mechanism of not necessarily tackling the opposition 1 v 1 immediately, but forcing them into an area and enticing them to play the ball in ways you want them to is crucial to a functioning pressing side.

Note here too how Tyrese Campbell is a core part of this press, which hopefully puts to bed the unfounded criticism he’s received for not working hard. You don’t have a press this efficient with a lazy player.

This combines to give us a summary of how much we’ve seen Stoke change since O’Neill left just over 6 months ago.

Conclusions

So, what can we gain from all this? What was the point of the last 2200 words?

Well, there was no point to it really, it’s just for fun, just a roflcopter landing on the helipad of life, as Barry Homeowner might say.

But, we can definitely gain insight into what Alex Neil has changed at Stoke.

We see a side that has ditched the slow patience of Michael O’Neill’s 352 low-tempo possession build-up in favour of moving the ball forward much more quickly.

We see a team much preferring to play in transition, and building up in such a way as to force those transitions from the opposition.

We also see a team much higher in their press, and much more crossing-heavy.

All this change despite Alex Neil not having his own players just yet, and despite many injuries dictating squad decisions. It’ll be very interesting to see what happens in the summer should Stoke survive.

Thanks to any and all readers, and please feel free to comment and follow on Twitter at @potterlytics.

Should you wish to donate to help with the running costs of the site, and the data subscriptions we use, please feel free to visit our donations page here. Any and all help is very much appreciated!

George

xG – A Stoke City Explainer!

You see it everywhere in football nowadays, it’s even grown to the point where Sky Sports show it on their post-match stats.

We now appear to be at a point where not only is eXpected Goals (xG) assumed to be common knowledge, it’s also something that its assumed everyone fully understands. But for a lot of people, xG is just a term that suddenly appeared and isn’t necessarily well-understood.

Considering this, I thought a good way to start off the blog here at Potterlytics would be to go through a little xPlainer (I’m sorry) of expected goals, told through the lens of Tyrese Campbell and two beautiful Stoke City goals from recent seasons.

The Basics

So let’s start by looking at the basic concept behind xG.

Football is a very low scoring game, with a high proportion of randomness to the results. It’s much easier for a lower-quality team to eek out a win through a bit of luck in football than in, say, basketball, where games finish with much higher scores.

This means that in football, the final score is generally a poor metric by which to measure the quality of a team’s performance, or to understand the major themes within a match.

As an example, you could say ‘well Stoke had 14 shots and Preston only had 3’ to show that Stoke were the better side, but on further inspection it could be the case that Stoke tried 14 Charlie Adam-esque shots from the halfway line in the last 10 minutes, and Preston had 3 shots from 5 yards out. This is the point where we’d say ‘they had the better chances’.

The best way to consider xG is that it gives you a number that quantifies just how good a chance is. Taking into account historical data, namely thousands of shots from previous seasons, an xG model tells you just how often the average player can be expected to score from a given chance.

There is no such thing as a perfect metric for the quality of a performance, but xG helps at least compare the quality of chances created.

#Ambition’: An xG map of Stoke’s 1-0 win over Arsenal in August 2017, thanks to a Jese goal assisted by Berahino. Larger squares indicate a higher xG chance, and a higher probability of scoring. The pink square is the goal. Credit: Michael Caley, @MC_of_A

‘How can you score 0.47 goals? What a load of ****’

xG values are usually quoted in terms of the probability of a goal being scored from zero to one. 0 xG would indicate that it’s impossible to score the chance, and 1 xG would indicate that it’s impossible to miss.

If a chance has an xG of 0.47 from a given model, that means that in that model’s historical data, a goal was scored from this type of chance 47% of the time, i.e. for every 100 of these chances, there were 47 goals.

Interestingly, it’s usually the case that xG is much lower than you’d expect, for lots of chances. xG can never be 1, as even a half-yard tap in is missed very occasionally. Let’s give a few examples and then take a look at a very fun Stoke City goal.

‘How’s he missed that?’

Take, for example, a penalty. Before you read on, think carefully and have a guess at how often you’d expect an average penalty taker to score. 90% of the time? Surprisingly it’s not that high! A penalty is in fact (using Wyscout models) 0.76xG, meaning only 76% of penalties are scored.

Extra points if you assumed lower than 0.76 because of Stoke’s record.

We can take a look below at the xG model that takes into account only the location of the shot, to see what kind of values we can expect:

An xG map showing the probability of scoring from various locations on the pitch. This model takes into account only the location of the chance. Credit: https://www.datofutbol.cl/xg-model/

Now better models will take into account much more than just the location of the shot. Let’s use Tyrese Campbell’s goal vs Preston, from 22/23, as an example:

Unleash Tyrese

In the 2-0 away win at Preston North End, Tyrese Campbell scored the second goal with a placed shot from just inside the box. On our map above, the location is marked with an ‘x’. We see that this gives us an xG value of around 0.15, meaning a shot from this location is scored about 15% of the time according to the model.

If we look at Infogol’s model value, we see that they assign a probability of 0.12 xG to this chance.

Wyscout on the other hand, assign it a value of 0.07 xG, and FBref.com go even lower to 0.03 xG.

Where’s that difference coming from?

Well, aside from models using different datasets, which will include slightly different shots, and models themselves learning from the data differently, the major difference here is what information is included when we define a type of shot.

‘This man’s magic’ – Campbell has very little space and a lot to do to score this chance. Image from Wyscout

Looking at our first model from the map above, we see that in Campbell’s shot, he’s about 14 yards out, to the right of the goal, and that’s all the information our model has! From this, we can say only that a shot from this area results in a goal about 15% of the time.

Now, better and more rounded models can add in more info. For example, the 3 other models take into account information such as angle to the goal, how the shot was assisted (e.g. cross or through ball), and the body part with which it was taken (strong/weak foot or header).

In addition to this, many of the models will include even more infortmation. Opta data (used by FBref.com, and many professional football teams/leagues) takes into account the positioning of defenders, the status of the goalkeeper (is he set or in motion?), and the height at which the shot is struck.

We can see very simply how this affects the xG value. Our FBref value of 0.03 xG was much lower than the others, due to the pressure Campbell is under. Two defenders directly in front of him, and a set goalkeeper waiting for the shot.

Left: A 0.15xG chance, Right: A 0.03xG chance

The Return of the Messiah

Now we can further see this difference by comparing the Preston goal with Campbell’s first goal after his injury layoff, vs Peterborough in November 2021. He receives the ball from a pass by a teammate, and takes a shot from a similar position.

Similar position, same outcome. Campbell finishes well on his weaker foot past the keeper.
xG = 0.25. Image: Wyscout

However, this time, there are two obvious differences.

Firstly, Campbell takes the shot with his weak foot, slightly decreasing the chance of scoring. More importantly, however, he has a clear view to goal, with only some pressure to his left, from a defender he has just dribbled past.

The combination of these extra differences for two chances in a similar position increases the FBref xG from 0.03 xG to 0.25 xG.

Hopefully this provides a nice intro and explainer for those who are interested in Stoke, and didn’t previously understand what xG was used for and how it was developed. Any and all comments are appreciated!

This is the first of many posts on this blog, and the aim is to contribute between once a fortnight and once a week some form of longer piece here. Alongside that, we have regular brief threads on Twitter at @potterlytics.

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George