Transfers are difficult. The ‘Tomkins Law’ suggests under half of them ‘succeed’ while, even if you opened up your definition of success, you’re still likely to identify widespread inefficiency. Being even slightly better at them than your opposition has the potential for huge gains in a competition like the Premier League, or any other for that matter.
Data plays a big part in scouting. At an ideal football club, this would be in tandem with traditional scouting, where trained scouts attend matches, watch clips of players and so on to identify strengths, weaknesses and generally profile. Statistical analysis is likely to be used mainly as an initial filter to narrow down a list of potential candidates before further, more ‘traditional’ scouting is done to build a more comprehensive picture.
This may seem fairly simple. For example, Swansea need a new striker, so they filter and then scout, right?
But filter based on what? Goals? Non-Penalty Goals Per 90? Expected Goals per 90? Age?
The filtering process has to be contextualised to maximise the chance that this transfer is a success, and different clubs want different things from their strikers. So we start at the beginning.
Why do Swansea need a new striker?
Note: 2016 data is a couple of weeks out of date, and all data is provided by Opta apart from ‘values’ which are from transfermarkt.
At least a part of the reason Swansea may want a new striker is to do with goals. Bar a brilliant opening 4 games to the season, Bafetimbi Gomis has hardly been inspiring, though this may be at least in part due to the whole team playing poorly.
However, Gomis’ responsibilities are not limited to goals alone. Swansea are, traditionally, an indirect, possession styled team that require a fairly competent passer and someone who can hold up play.

2015/16 has seen a slightly more direct and wing-oriented Swansea than recent campaigns
This is one of the reasons why Wilfried Bony was so liked at the club; despite stereotypical commentator discussion of his size, heading ability and so on, Bony was very suited to slow build up play and the relevant striker duties. For the most part, Gomis has been an able replacement:
Per 90 Stats | Total Passes | Pass Completion | Key Passes | Short Passes (<10m) |
Bony 13/14 | 28.31043 | 0.7399757 | 0.825578 | 3.6807 |
Gomis 14/15 | 25.92589 | 0.7937916 | 0.689824 | 4.713798 |
Gomis 15/16 | 23.38192 | 0.7941176 | 0.916938 | 3.973397 |
PL Forward Avg 12-16 | 28.25 | 0.7373 | 0.998 | 3.0415 |
But another reason why Swansea may need a new striker is because of Gomis’ incompatibility with Gylfi Sigurdsson, arguably Swansea’s star man after a high value return from Tottenham Hotspurs. Who you play with and your individual output are interconnected, and this is something that, although difficult to quantify, should be taken into account in a holistic approach to recruitment. Since Bony left, Sigurdsson has been notably more muted in the ten role that he was thriving in last season:

GIF comparing Sigurdsson Output By Season
And the concentration of his key passes from the archetypal ‘ten’ position has decreased too:
At least some of this may be because Gomis passes to that ‘ten’ position (the central area in front of the box) less than the average forward, and Bony:
Per 90 Stats | Passes to ‘ten zone’ |
Bony 13/14 | 19.60747 |
Gomis 14/15 | 15.63601 |
Gomis 15/16 | 13.83048 |
PL Forward Avg 12-16 | 15.97 |
The extent to which Gylfi’s drop in form is systemic, individual or causally tied to Gomis’ introduction is extremely difficult to quantify without insider knowledge of the club – are Swansea playing more down the wing this year specifically to play to Gomis’ strengths, or as an unrelated tactical change? For the sake of this piece (and because it’s my own theory based on watching games), we’ll assume the prior, but ideally coaches could be spoken to and so on.
Eder, a £5m signing as back-up to Gomis, has also been uninspiring when rarely played, and has been in and out of the squad with injury.
So, now that we know why Swansea may want to invest in a new striker (poor goal output, suffering Gylfi, lack of replacements), we can begin filtering.
Who should Swansea sign?
As a first round of minimum criteria, only forwards who have had a season (of > 720 mins) that meets or exceeds the Premier League forward average (since the 12/13 season) in the following will be included:
- Non-penalty goals per 90 (0.3224)
- Expected Goals per 90 (0.33)
- Shots per 90 (2.6725)
These metrics aren’t exempt from systemic biases, nor is it ideal to compare output across leagues, but it is somewhat unavoidable and filtering has to be seen as the best attempt to minimise the chances of failure rather than a completely perfect methodology. The players are grouped by name and season, and can have met the criteria last season or this one in any of Ligue 1, Serie A, La Liga, the Bundesliga, Eredivisie or the Championship.
As you can imagine, a lot of players ‘out of Swansea’s league’ come through the initial filter. Shuffling them out and removing forwards that I know aren’t strikers (e.g. El Ghazi), we’re still left with way too many candidates.
Let’s throw the pensioners out the window and introduce a filter for being under 28 years of age. Also, it’s worth removing players like Odion Ighalo who fulfilled criteria before making the step up to the Premier League, guys carrying long term injuries like Assombalonga and Callum Wilson, and players who have recently transferred like Clinton N’Jie.
At this point, we have just over 40 players left, which is probably just about within the grasps of the scouting system of a comfortably wealthy Premier League club. This shortlist can be passed on to relevant staff, who work on building comprehensive player profiles, filtering based on specific criteria and so on.
Name | Season | League | xG90 | Nineties |
Jordan Rhodes | 2015 | Championship | 0.4431532 | 40.930926 |
Patrick Bamford | 2015 | Championship | 0.3695821 | 36.207037 |
Mark Uth | 2015 | Eredivisie | 0.3969865 | 34.53037 |
Luuk de Jong | 2015 | Eredivisie | 0.5330976 | 33.047963 |
Kike | 2015 | Championship | 0.5600647 | 28.632407 |
Max Gradel | 2015 | Ligue 1 | 0.5097079 | 24.293148 |
Lewis Grabban | 2015 | Championship | 0.4193613 | 24.207222 |
Jelle Vossen | 2015 | Championship | 0.4301955 | 23.739444 |
Manolo Gabbiadini | 2015 | Serie A | 0.3366086 | 22.18 |
Tomas Necid | 2015 | Eredivisie | 0.5091556 | 20.682407 |
Brett Pitman | 2015 | Championship | 0.5328166 | 18.036111 |
Freddie Sears | 2015 | Championship | 0.4714098 | 17.693889 |
Michy Batshuayi | 2016 | Ligue 1 | 0.4739613 | 17.017963 |
Anthony Modeste | 2015 | Bundesliga | 0.4252083 | 16.987778 |
Stef Nijland | 2015 | Eredivisie | 0.3313854 | 16.533889 |
Elvis Manu | 2015 | Eredivisie | 0.4355947 | 16.447037 |
Andre Gray | 2016 | Championship | 0.360435 | 15.477778 |
Sebastien Haller | 2015 | Eredivisie | 0.4931852 | 14.747037 |
Abel Hernandez | 2016 | Championship | 0.3892818 | 14.717037 |
Lars Veldwijk | 2016 | Eredivisie | 0.4453268 | 14.529815 |
Khouma Babacar | 2015 | Serie A | 0.3592972 | 14.440185 |
Arkadiusz Milik | 2015 | Eredivisie | 0.3353546 | 13.681111 |
Luuk de Jong | 2016 | Eredivisie | 0.5510093 | 13.259074 |
Vincent Janssen | 2016 | Eredivisie | 0.5857012 | 13.092037 |
Kolbeinn Sigthorsson | 2015 | Eredivisie | 0.4185775 | 13.063333 |
M’Baye Niang | 2015 | Serie A | 0.340347 | 12.965741 |
Cheick Diabate | 2015 | Ligue 1 | 0.4332191 | 12.96537 |
Sloan Privat | 2015 | Ligue 1 | 0.4705423 | 12.188889 |
Robert Muhren | 2015 | Eredivisie | 0.3683008 | 12.010926 |
Fernando Forestieri | 2015 | Championship | 0.5094556 | 11.570185 |
Marco Djuricin | 2016 | Championship | 0.4282863 | 11.512593 |
Arkadiusz Milik | 2016 | Eredivisie | 0.4621074 | 11.301667 |
Michiel Kramer | 2016 | Eredivisie | 0.3778392 | 11.048333 |
Bas Dost | 2016 | Bundesliga | 0.430471 | 10.72537 |
Pierre-Michel Lasogga | 2016 | Bundesliga | 0.3757492 | 10.617037 |
Andrea Belotti | 2015 | Serie A | 0.5878321 | 9.736111 |
Jurgen Locadia | 2016 | Eredivisie | 0.4565808 | 9.536296 |
Borja Baston | 2016 | La Liga | 0.5368348 | 9.356481 |
Duje Cop | 2015 | Serie A | 0.3739273 | 9.342593 |
Viktor Fischer | 2016 | Eredivisie | 0.4877755 | 8.768333 |
Ruud Boymans | 2015 | Eredivisie | 0.5783796 | 8.690926 |
Matt Smith | 2015 | Championship | 0.5989744 | 8.515 |
Lucas Joao | 2016 | Championship | 0.435138 | 8.492778 |
But let’s say that Swansea haven’t scouted any of these players yet, and want to buy someone in January for sure. Remember how they want a player who can link-up with Sigurdsson? Let’s further filter, excluding those who:
- Have a pass completion lower than the average PL striker (0.7373)
- Pass to the ‘ten zone’ per 90 less than the average PL striker (15.97)
Name | Season | League | xG90 | Value
|
Contract Until | 90s |
Andrea Belotti | 2015 | Serie A | 0.587832 | 3.5m | 2020 | 9.736111 |
Fernando Forestieri | 2015 | Championship | 0.509456 | 2.1m | 2019 | 11.57019 |
Viktor Fischer | 2016 | Eredivisie | 0.487776 | 3.85m | 2017 | 8.768333 |
Jurgen Locadia | 2016 | Eredivisie | 0.456581 | 2.45m | 2019 | 9.536296 |
Arkadiusz Milik | 2015 | Eredivisie | 0.335355 | 4.55m | 2019 | 13.68111 |
Stef Nijland | 2015 | Eredivisie | 0.331385 | 700k | 2016 | 16.53389 |
Four of the six remaining players come from the Eredivisie, which is a league Swansea will be less wary to buy from than some given Bony’s success.
Of particular interest to me is Andrea Belotti. After a 2014/15 season with ~ .59 XG90 and ~ .5 NPG90, the Italian forward moved from Palermo to Torino in the summer for £5.25m. This season, he’s still posting ~ .4 xG90, but scoring only around .13 NPG90. He may potentially be a bargain if his new club see him as a bit of a failure after a poor spell of finishing, and is still only 22. Also:
New favourite player? pic.twitter.com/X836xrJVVd
— Ben (@Torvaney) November 27, 2015
Nijland, too, may be a bargain given the looming end of his contract.
Locadia’s 2014/15 season would have made it through to this stage too had the cutoff been 7 nineties, while he also played more than 2000 minutes with ~ .38 XG90 in 2013/14, and, like Belotti, is still only 22. He’s had a pass completion of over 80% each of the last three seasons, and has played over 30 passes per 90 in the last two. The amount he passes per 90 doubled once Luuk De Jong arrived at PSV, along with a 50% rise in the amount of passes he played from that ‘ten zone’ in the 2014/15 season compared to the one before, which may imply he’s had to drop deeper when playing than before De Jong arrived. Also, three of his five goal this season have been headed, which may mean he could work in both a wingplay oriented Swansea and a slow build up one. These are more initial flags than concrete comments on Locadia’s ability, but they are the sort of insights that can be passed onto scouts, who can then check with their own methods, and used to flesh out a profile.
From the limited amount I’ve seen of these players, I know that there’s a range of striker styles and suitability within the 6 player sample. Fischer, for instance, is probably more of a left winger, while Forestieri may be more of a second striker than someone suited to holding up play. Though there may not be many games before the transfer window opens, scouts and recruitment staff have access to services like Wyscout with which they could plunder through gameclips to assess these things before it does.
Final Comments
Ideally, someone tasked with filtering would like to have loads of scouting time available to delegate and a large shortlist too, to try and alleviate those systemic biases. Say, for example, Michy Batshuayi is explicitly told not to pass into that ‘ten zone’, or Marseille simply don’t use one, this doesn’t necessarily mean he wouldn’t be good at it, yet he doesn’t make it into a final 6 filtered rather crudely because of a hypothesised time constraint.
As far as Swansea go, if they do decide to go for a striker in the January transfer window, I’d be surprised if they hadn’t already started scouting most of the larger shortlist, and almost all of those 6.