Intelligence · Scout desk
The Screener
Every player the intelligence layer tracks, filterable by the numbers it computes. Scores come from event data; estimates stay labeled until measured.
269 of 269 tracked players match — showing the top 100 by sort.
| Player | Pos | Value ↓ | Output | G+A /90 | Avail. | Age | Trajectory |
|---|---|---|---|---|---|---|---|
N. PazArgentina | MID | €185M | 91 | 0.5635 apps | 100% | 21 | improving |
Kylian MbappéFrance | FWD | €129M | 94 | 1.0431 apps | 95% | 27 | → Stable |
Lamine YamalSpain | MID | €147M | 81 | 0.7134 apps | 57% | 18 | improving |
A. GülerReal Madrid | MID | €126M | 92 | 0.5833 apps | 100% | 20 | improving |
B. SakaEngland | FWD | €120M | 76 | 0.4931 apps | 79% | 24 | ↓ Declining |
F. WirtzGermany | MID | €115M | 80 | 0.3033 apps | 95% | 22 | → Stable |
R. CherkiFrance | MID | €106M | 88 | 0.8033 apps | 60% | 22 | improving |
L. VuškovićCroatia | DEF | €95M | 76 | 0.2228 apps | 99% | 18 | improving |
E. HaalandNorway | FWD | €86.3M | 89 | 1.0635 apps | 95% | 25 | ↓ Declining |
J. BellinghamEngland | MID | €71.7M | 90 | 0.6131 apps | 88% | 22 | ↓ Declining |
Bruno FernandesPortugal | MID | €58M | 94 | 0.8835 apps | 100% | 31 | improving |
M. BaturinaCroatia | MID | €66.2M | 85 | 0.5129 apps | 99% | 22 | → Stable |
Mohamed SalahEgypt | FWD | €52.4M | 98 | 1.2538 apps | 100% | 33 | → Stable |
PedriSpain | MID | €63M | 89 | 0.4729 apps | 94% | 23 | improving |
J. CurrieOxford United | DEF | €48.5M | 92 | 0.0639 apps | 100% | 23 | ↓ Declining |
L. GavranToronto FC | GK | €35.7M | 94 | 0.0714 apps | 99% | 25 | → Stable |
H. KaneEngland | FWD | €45.4M | 95 | 1.2831 apps | 97% | 32 | → Stable |
V. NelssonGalatasaray | DEF | €40.9M | 90 | 0.0038 apps | 98% | 27 | ↓ Declining |
J. PantemisPortland Timbers | GK | €27.3M | 84 | 0.0022 apps | 95% | 28 | improving |
J. MusialaGermany | MID | €43M | 84 | 0.7025 apps | 41% | 22 | ↓ Declining |
Vinícius JúniorBrazil | MID | €41M | 88 | 0.6736 apps | 95% | 25 | → Stable |
M. CarnesecchiItaly U21 | GK | €24.5M | 95 | 0.0037 apps | 99% | 25 | → Stable |
A. DreyerSan Diego | MID | €34M | 96 | 1.0337 apps | 98% | 27 | improving |
M. RuizToluca | MID | €34M | 83 | 0.2430 apps | 100% | 25 | ↓ Declining |
S. ManéSenegal | FWD | €28.3M | 89 | 0.8032 apps | 100% | 33 | → Stable |
Ajay MatthewsMillwall | FWD | €41.1M | 39 | 0.504 apps | 100% | 19 | improving |
E. CaprileCagliari | GK | €20.9M | 94 | 0.0038 apps | 92% | 24 | → Stable |
Kim Seung-GyuSouth Korea | GK | €12.5M | 95 | 0.0016 apps | 100% | 35 | → Stable |
L. MartínezArgentina | DEF | €28.3M | 82 | 0.0425 apps | 100% | 29 | improving |
M. ReteguiAl-Qadisiyah FC | FWD | €34.3M | 95 | 1.2336 apps | 96% | 26 | improving |
N. JacksonSenegal | FWD | €34.3M | 77 | 0.7823 apps | 92% | 24 | ↓ Declining |
Son Heung-MinSouth Korea | FWD | €26M | 94 | 1.2211 apps | 90% | 33 | ↓ Declining |
G. BerterameInter Miami | FWD | €31.3M | 82 | 0.6922 apps | 99% | 27 | ↓ Declining |
K. YıldızJuventus | FWD | €36M | 80 | 0.5136 apps | 99% | 20 | improving |
R. HøjlundManchester United | FWD | €32.8M | 78 | 0.5533 apps | 93% | 22 | → Stable |
D. CoppolaItaly U21 | DEF | €24.5M | 87 | 0.0635 apps | 98% | 22 | → Stable |
D. LainezTigres UANL | MID | €25.8M | 88 | 0.3937 apps | 98% | 25 | → Stable |
D. RiceEngland | MID | €25.8M | 84 | 0.2636 apps | 96% | 26 | → Stable |
A. JungdalDenmark U21 | GK | €15.4M | 94 | 0.0040 apps | 100% | 23 | → Stable |
DaniloBrazil | DEF | €14.2M | 92 | 0.1737 apps | 93% | 34 | improving |
J. KlinsmannUSA | GK | €15.4M | 94 | 0.0335 apps | 100% | 28 | → Stable |
M. DamsgaardDenmark | MID | €23.1M | 88 | 0.3738 apps | 98% | 25 | improving |
PaulinhoToluca | FWD | €19.2M | 87 | 0.8731 apps | 100% | 33 | ↓ Declining |
C. EriksenDenmark | MID | €15M | 86 | 0.4133 apps | 99% | 33 | improving |
F. EspositoItaly U21 | FWD | €24.9M | 82 | 0.6339 apps | 93% | 20 | improving |
F. MendySenegal | DEF | €17.9M | 83 | 0.0727 apps | 100% | 24 | → Stable |
K. GrabaraVfL Wolfsburg | GK | €13.2M | 94 | 0.0036 apps | 95% | 26 | → Stable |
M. SkóraśPoland U21 | FWD | €21.6M | 84 | 0.3132 apps | 97% | 25 | improving |
J. CummingOxford United | GK | €12M | 92 | 0.0046 apps | 100% | 26 | → Stable |
P. HøjbjergDenmark | MID | €18.1M | 76 | 0.3032 apps | 96% | 30 | improving |
A. OnanaManchester United | GK | €10.9M | 84 | 0.0034 apps | 96% | 29 | → Stable |
A. GómezColombia | MID | €14.7M | 66 | 0.2716 apps | 95% | 23 | improving |
J. LukićUniversitatea Cluj | FWD | €16.1M | 81 | 0.7232 apps | 100% | 27 | improving |
J. TolkinUSA | DEF | €13.3M | 75 | 0.1333 apps | 95% | 23 | ↓ Declining |
K. RowlesAustralia | DEF | €13.3M | 79 | 0.0031 apps | 99% | 27 | → Stable |
M. KochalskiPoland | GK | €9.8M | 84 | 0.0017 apps | 100% | 25 | → Stable |
M. PašalićOrlando City SC | FWD | €16.1M | 80 | 0.5734 apps | 100% | 25 | improving |
O. ProvstgaardLazio | DEF | €14M | 68 | 0.0332 apps | 100% | 22 | ↓ Declining |
P. DorguManchester United | DEF | €14.6M | 70 | 0.2022 apps | 100% | 21 | improving |
S. Lopes CabralEstrela | DEF | €13.3M | 78 | 0.5415 apps | 96% | 23 | improving |
S. TanakaJapan | MID | €14.7M | 72 | 0.2233 apps | 100% | 23 | → Stable |
WevertonBrazil | GK | €3.5M | 83 | 0.0026 apps | 100% | 38 | ↓ Declining |
B. De KeersmaeckerOxford United | MID | €13.4M | 74 | 0.2631 apps | 98% | 25 | improving |
F. DimarcoInter | MID | €13.4M | 93 | 0.7735 apps | 95% | 28 | improving |
K. KvaratskheliaParis Saint Germain | FWD | €14.7M | 84 | 0.7328 apps | 94% | 24 | ↓ Declining |
M. KeanFiorentina | FWD | €14.7M | 79 | 0.7332 apps | 96% | 25 | improving |
N. BarellaInter | MID | €13.4M | 88 | 0.3934 apps | 96% | 28 | improving |
Y. En-NesyriFenerbahçe | FWD | €14.7M | 87 | 1.0834 apps | 100% | 28 | → Stable |
A. ChristensenBarcelona | DEF | €11M | 69 | 0.506 apps | 77% | 29 | ↓ Declining |
Danilo SantosBotafogo | MID | €12.2M | 75 | 0.7612 apps | 80% | 25 | improving |
E. Ben SeghirBayer Leverkusen | FWD | €15.3M | 71 | 0.4633 apps | 100% | 20 | improving |
Findlay CurtisScotland | FWD | €16M | 72 | 0.5014 apps | 100% | 19 | improving |
H. IgamaneRangers | FWD | €13.3M | 78 | 0.5934 apps | 100% | 23 | improving |
L. MalagónClub America | GK | €8.1M | 96 | 0.0025 apps | 100% | 28 | → Stable |
M. HelikOxford United | DEF | €11M | 77 | 0.1243 apps | 100% | 30 | ↓ Declining |
M. LocatelliJuventus | MID | €12.2M | 73 | 0.0936 apps | 98% | 27 | improving |
P. BillingFC Midtjylland | MID | €12.2M | 72 | 0.2320 apps | 97% | 29 | ↓ Declining |
Wagner PinaTrabzonspor | DEF | €11M | 79 | 0.2631 apps | 98% | 23 | → Stable |
A. BahBenfica | DEF | €9.9M | 90 | 0.2429 apps | 33% | 28 | → Stable |
C. RodríguezCruz Azul | FWD | €12M | 86 | 0.3742 apps | 98% | 28 | → Stable |
D. BallardLeyton Orient | FWD | €13.8M | 84 | 0.7040 apps | 100% | 20 | improving |
Lucas PaquetáBrazil | MID | €10.9M | 56 | 0.3018 apps | 96% | 28 | → Stable |
SamuFC Porto | FWD | €13.2M | 82 | 0.8730 apps | 99% | 21 | improving |
Victor Mow FroholdtDenmark U19 | MID | €13.1M | 76 | 0.3834 apps | 100% | 19 | improving |
G. RaspadoriAtletico Madrid | FWD | €10.6M | 74 | 0.5726 apps | 100% | 25 | ↓ Declining |
J. AndersenDenmark | DEF | €8.7M | 80 | 0.0333 apps | 96% | 29 | ↓ Declining |
M. de BrienneGais | DEF | €8.7M | 82 | 0.2221 apps | 99% | 23 | → Stable |
S. NgezanaSouth Africa | DEF | €8.7M | 79 | 0.0427 apps | 99% | 28 | → Stable |
A. CambiasoItaly U21 | DEF | €7.6M | 81 | 0.2336 apps | 92% | 25 | improving |
C. NørgaardArsenal | MID | €7.7M | 71 | 0.2934 apps | 92% | 31 | improving |
K. KozłowskiGaziantep FK | MID | €8.8M | 69 | 0.2731 apps | 97% | 22 | → Stable |
K. TrewinAustralia | DEF | €7.6M | 65 | 0.0015 apps | 97% | 24 | ↓ Declining |
Kerim-Sam AlajbegovićBayer Leverkusen | FWD | €11.5M | 68 | 0.6024 apps | 100% | 18 | improving |
N. ZanioloGalatasaray | MID | €8.4M | 84 | 0.4432 apps | 94% | 26 | improving |
P. SchulteColumbus Crew | GK | €5.6M | 83 | 0.0027 apps | 93% | 24 | → Stable |
T. OluwayemiLeyton Orient | GK | €5.9M | 83 | 0.0030 apps | 100% | 22 | improving |
V. GuzmánMonterrey | DEF | €7.6M | 83 | 0.0035 apps | 92% | 23 | → Stable |
A. ŠutoNK Slaven Belupo | FWD | €8.3M | 65 | 0.6018 apps | 99% | 25 | improving |
É. SánchezClub America | MID | €7.6M | 73 | 0.1442 apps | 96% | 26 | ↓ Declining |
J. El YamiqAl Najma | DEF | €5.2M | 70 | 0.0926 apps | 100% | 33 | improving |
Pool: players with a GoalPost Value or Workrate score and a resolved profile. Output and G+A/90 come from this season's stats — mind the appearance sample. Style metrics (Workrate, defensive share) appear as columns when you filter or sort by them; both feed the value model either way.



































































































