Update player selection from December 2024:
smart data for smart decisions
At footballytics we combine football & data analytics skills and have many years of tactical analysis & scouting experience in professional football. Football and data and not data and football.
Use data to make evidence-based better decisions in scouting and match analysis.
We help football clubs integrate, structure, refine and interpret match event data according to their own match philosophy. To maximize the potential of data and turn it into valuable and individual new insights and competitive advantages. The goal of a modern club should be to consistently make good decisions based on the best possible data.
See blog post > Data Analytics in Football
Data Scouting Platform
We interpret millions of event data and make players comparable in a simple way. The insights are used in scouting and in match and opponent analysis to make better data-based decisions. Noticeable patterns sometimes also allow conclusions to be drawn in relation to the coach..
Scouting Funnel
Data analytics does not aim to replace football scouts. Rather, data analysis provides a valuable complement to the talent identification skills of the scouts.
An additional tool. A good scouting process consists of different phases and starts with data scouting. This is so that you don't narrow down to individual players too early and can really consider the entire player potential at the beginning. In addition, data does not have favorite teams or players.
The risk of perception error is minimized by the "second opinion" of the data. See blog post > Datascouting
Break away from reactive scouting for agent recommendations
Wyscout data
We access a huge amount of data (Wyscout) with about 150 leagues and over 100'000 player entries. The more than 100 individual metrics (dribblings, shots, submissions, duels, passes, success rates, interceptions, etc.) have been combined, condensed and refined into 16 smart key metrics. This makes it possible to compare the performance data of the players quickly and easily.
Data is not used to find the best player. Instead, it is used to quickly determine the 50 most suitable players out of 1,000, of which the best 10 are very likely to be among them (pre-scouting). This saves valuable time in scouting, because the scouts can concentrate on just a few players without having to sift through hundreds of players. Determining the very best candidates is and remains the task of the scouts with their expertise and experience.
Datascouting Praxis (December 2024)
We select the best U23 players with a market value of less than 1 million for you
Scouting: Advanced Winger
Position profile:
A winger who likes to get inside and influence play near the penalty area, if not inside it. He is expected to boost play for his teammates, but will just as often try to play for himself. They are dangerous when they come down the wing.
Benchmark: Mohamed Salah, J. Doku, K. Mitoma, K. Kvaratskhelia, L. Sané
U23 < 1 million (or not indicated)
Liga | Player | Team | Position | Age | Value |
Latvia Virsliga | O. Niang | Riga FC | LAMF, LW, LWF | 22 | - |
Netherlands Eerste Divisie | I. El Kadiri | De Graafschap | LAMF, LWF, CF | 22 | 150’000 |
Sweden Allsvenskan | H. Bolin | Malmö FF | LAMF, LW | 21 | - |
Latvia Virsliga | D. Savić | RFS | RW, LW, RAMF | 23 | 325’000 |
Lithuanya A Lyga | A. Fofana | Žalgiris | LWF, CF, LAMF | 23 | 250’000 |
Belgium Challenger Pro | A. Abid | Patro Eisden | RAMF, LW, LAMF | 21 | - |
Estonia Premium Liiga | João Pedro | Levadia | RAMF, RW | 22 | 250’000 |
Uruguay Primera Division | J. Recoba | Nacional | LAMF, LW | 21 | - |
Netherlands Eerste Divisie | B. Burgering | Den Bosch | RWF | 23 | 300’000 |
Serbia Super Liga | C. Zady Sery | Vojvodina | LAMF, LWF, LW | 24 | 800’000 |
Italy Serie C | D. Lamesta | Benevento | RW, RAMF, RWF | 24 | 500’000 |
Sweden Superettan | A. Ćulum | Trelleborg | LW, LWF, LAMF | 20 | - |
Denmark Superliga | S. Egeli | Nordsjælland | RWF, LWF | 18 | - |
Germany Regionalliga | O. Schmitt | Köln II | LAMF, CF | 24 | 75’000 |
Korea K2 | Bruno Silva | Seoul E-Land | LW, LWF, RW | 24 | 650’000 |
USA MLS | A. Gómez | Real Salt Lake | RAMF | 22 | - |
Estonia Premium Liiga | D. Jepihhin | Paide | RW, CF, RAMF | 19 | - |
Poland Extraklasa | T. Ismaheel | Górnik Zabrze | RW, LW, RAMF | 24 | 600’000 |
Scouting: Playmaker Winger
Position profile:
A player who is important to a team's build-up play from deep. They are involved in creative passing and direct play into more dangerous areas in front of the feet of advanced players, rather than working hard for the final ball. As they are deep, they also need to be reasonably fit in defense, even if their main role is possession.
Benchmark: X. Simons, Dani Olmo, D. Kulusevski, Alex Grimaldo
U23 < 1 million or not indicated
Liga | Player | Team | Position | Age | Value |
Estonia Premium Liiga | João Pedro | Levadia | RAMF, RW | 22 | 250’000 |
France National 1 | Y. Benhattab | Aubagne | RAMF, CF, AMF | 21 | - |
Denmark Superliga | C. Bischoff | Brøndby | LWB | 18 | - |
Latvia Virsliga | D. Savić | RFS | RW, LW, RAMF | 23 | 325’000 |
Belgium Challenger Pro | A. Abid | Patro Eisden | RAMF, LW, LAMF | 21 | - |
Italy Serie C | D. Lamesta | Benevento | RW, RAMF, RWF | 24 | 500’000 |
Venezuela Primera Division | J. Martínez | Metropolitanos | RWB, RW, LWB | 23 | - |
Chile Primera Division | B. Martínez | Everton | LW, RW, LAMF | 24 | - |
Spain 3.Liga | Rayane Belaid | Atlético Madrid B | LW, LCMF, RW | 19 | - |
Czech 2nd League | M. Šubert | Vlašim | LAMF, LW, LCMF | 22 | - |
Latvia Virsliga | O. Niang | Riga FC | LAMF, LW, LWF | 22 | - |
Denmark Superliga | Serginho | Viborg | RWF, LWF, RW | 23 | - |
Sweden Superettan | G. Nordh | GIF Sundsvall | LW, LAMF | 24 | 250’000 |
USA MLS | D. Gómez | Inter Miami | LWF, LCMF, LW | 21 | - |
Brazil Serie B | Adyson | América Mineiro | RAMF, RW, RWF | 19 | - |
Latvia Virsliga | E. Daskevics | Riga FC | LAMF, LW, LWF | 22 | 350’000 |
Uruguay Primera Division | J. Recoba | Nacional | LAMF, LW | 21 | - |
Czech 2nd League | D. Rus | Sparta Praha II | LWF, CF, LCMF | 18 | - |
Colombia BetPlay | V. Sánchez | Unión Magdalena | LW, AMF, CF | 22 | - |
Netherlands Eerste Divisie | I. El Kadiri | De Graafschap | LAMF, LWF, CF | 22 | 150’000 |
Egypt Premier | S. Awujoola | Ceramica | LW, LAMF, LWF | 23 | - |
Poland Extraklasa | A. Hasić | Cracovia Kraków | RWF, RW, AMF | 23 | 800’000 |
Scouting: Attacking winger
Position Profile:
Acting almost like a wide forward, these players are wingers who move inside much like advanced wingers, but with a much greater emphasis on getting into the penalty area and scoring goals. These players should be clinical first and foremost.
Benchmark: Mohamed Salah, J. Doko, L. Diaz, K. Kvaratskhelia
U23 < 1 million or not indicated
Liga | Player | Team | Position | Age | Value |
Latvia Virsliga | O. Niang | Riga FC | LAMF, LW, LWF | 22 | - |
Sweden Allsvenskan | H. Bolin | Malmö FF | LAMF, LW | 21 | - |
USA MLS | A. Gómez | Real Salt Lake | RAMF | 22 | - |
Netherlands Eerste Divisie | I. El Kadiri | De Graafschap | LAMF, LWF, CF | 22 | 150’000 |
Lithuanya A Lyga | A. Fofana | Žalgiris | LWF, CF, LAMF | 23 | 250’000 |
Norway Obos Ligaen | J. El Abdellaoui | Vålerenga | RW, RWF | 18 | - |
Belgium Challenger Pro | A. Abid | Patro Eisden | RAMF, LW, LAMF | 21 | - |
Korea K2 | Bruno Silva | Seoul E-Land | LW, LWF, RW | 24 | 650’000 |
Spain Segunda Division | Yeremay Hernández | Deportivo La Coruña | LW, RW | 21 | 700’000 |
Sweden Superettan | C. Kabuye | Sandviken | LW | 21 | - |
Germany Regionalliga | O. Schmitt | Köln II | LAMF, CF | 24 | 75’000 |
Serbia Super Liga | C. Zady Sery | Vojvodina | LAMF, LWF, LW | 24 | 800’000 |
Sweden Allsvenskan | T. Bazoumana | Hammarby | LAMF, LW, LWF | 18 | - |
Colombia BetPlay | J. Alemán | Unión Magdalena | RAMF, RW, CF | 22 | - |
Norway Obos Ligaen | E. Baidoo | Sogndal | RW | 18 | - |
Latvia Virsliga | E. Daskevics | Riga FC | LAMF, LW, LWF | 22 | 350’000 |
Iceland First Division | J. Svanthórsson | Breidablik | RWF, RW, RAMF | 24 | 175’000 |
Denmark Superliga | Serginho | Viborg | RWF, LWF, RW | 23 | - |
England League One | L. Barry | Stockport County | LAMF, LWF, AMF | 21 | 800’000 |
You can find out more about our complementary data scouting approach here
footballytics - we know how to make the data talk
We combine the competences of football tactics, scouting and data analytics and support clubs in interpreting and using data to make better decisions in scouting and match analysis based on data validation.
Football and data, not data and football.
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Blog from www.footballytics.ch About data analytics topics in football - smart data for smart decisions
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