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.
1,457 of 1,457 tracked players match — showing the top 100 by sort.
| Player | Pos | Value ↓ | GPS | G+A /90 | Avail. | Age | Trajectory |
|---|---|---|---|---|---|---|---|
Kylian MbappéFrance | FWD | €152M | 92 | 1.13193 apps | 96% | 27 | → Stable |
Vinícius JúniorBrazil | FWD | €152M | 90 | 0.76201 apps | 95% | 25 | → Stable |
Lamine YamalSpain | FWD | €149M | 83 | 0.76153 apps | 56% | 18 | ↑ Improving |
E. HaalandNorway | FWD | €142M | 90 | 1.03201 apps | 95% | 25 | → Stable |
J. BellinghamEngland | MID | €137M | 90 | 0.56190 apps | 88% | 22 | → Stable |
F. ValverdeUruguay | MID | €119M | 89 | 0.37211 apps | 98% | 27 | → Stable |
VitinhaPortugal | MID | €119M | 86 | 0.29204 apps | 98% | 25 | ↑ Improving |
A. HakimiMorocco | DEF | €112M | 89 | 0.42167 apps | 100% | 27 | → Stable |
F. WirtzGermany | MID | €109M | 86 | 0.62162 apps | 95% | 22 | → Stable |
L. DíazColombia | FWD | €107M | 86 | 0.71165 apps | 100% | 28 | ↑ Improving |
D. RiceEngland | MID | €102M | 84 | 0.32211 apps | 96% | 26 | → Stable |
PedriSpain | MID | €102M | 84 | 0.35163 apps | 94% | 23 | ↑ Improving |
João NevesPortugal | MID | €93.8M | 82 | 0.31183 apps | 61% | 21 | ↑ Improving |
RodriSpain | MID | €93.8M | 84 | 0.19150 apps | 57% | 29 | → Stable |
K. KvaratskheliaParis Saint Germain | FWD | €89.6M | 84 | 0.66218 apps | 94% | 24 | → Stable |
M. CaicedoEcuador | MID | €86.1M | 86 | 0.10187 apps | 100% | 24 | → Stable |
Nuno MendesPortugal | DEF | €84.9M | 86 | 0.33131 apps | 98% | 23 | → Stable |
J. KimmichGermany | MID | €83.5M | 88 | 0.31191 apps | 99% | 30 | → Stable |
D. SolankeEngland | FWD | €80.8M | 83 | 0.51130 apps | 45% | 28 | ↓ Declining |
O. DembéléFrance | FWD | €80.8M | 81 | 1.10174 apps | 55% | 28 | ↑ Improving |
V. GyökeresSweden | FWD | €80.8M | 88 | 0.95197 apps | 98% | 27 | → Stable |
X. SimonsNetherlands | FWD | €80.8M | 82 | 0.56158 apps | 90% | 22 | → Stable |
J. KoundéFrance | DEF | €77.9M | 86 | 0.19184 apps | 89% | 27 | ↑ Improving |
B. SakaEngland | FWD | €72M | 83 | 0.68187 apps | 79% | 24 | → Stable |
Lautaro MartínezArgentina | FWD | €72M | 83 | 0.77196 apps | 94% | 28 | → Stable |
M. OliseFrance | FWD | €72M | 83 | 0.90166 apps | 100% | 24 | ↑ Improving |
A. BastoniInter | DEF | €70.9M | 85 | 0.17216 apps | 100% | 26 | ↑ Improving |
Gabriel MagalhãesBrazil | DEF | €70.9M | 85 | 0.14195 apps | 81% | 28 | ↑ Improving |
J. TahGermany | DEF | €70.9M | 83 | 0.11220 apps | 100% | 29 | → Stable |
T. Alexander-ArnoldReal Madrid | DEF | €70.9M | 83 | 0.32204 apps | 50% | 27 | ↓ Declining |
W. PachoEcuador | DEF | €70.9M | 83 | 0.06187 apps | 99% | 24 | ↓ Declining |
A. Mac AllisterArgentina | MID | €70.7M | 84 | 0.32188 apps | 89% | 27 | ↓ Declining |
M. LocatelliJuventus | MID | €70.7M | 85 | 0.13217 apps | 98% | 27 | ↑ Improving |
N. BarellaInter | MID | €70.7M | 84 | 0.28240 apps | 96% | 28 | → Stable |
N. O'ReillyEngland | MID | €70.7M | 83 | 0.36134 apps | 95% | 20 | ↑ Improving |
D. UpamecanoFrance | DEF | €64M | 83 | 0.09156 apps | 89% | 27 | ↑ Improving |
Douglas SantosBrazil | DEF | €64M | 84 | 0.10158 apps | 100% | 31 | → Stable |
E. KonsaEngland | DEF | €64M | 83 | 0.03168 apps | 95% | 28 | ↑ Improving |
MarquinhosBrazil | DEF | €64M | 83 | 0.08165 apps | 99% | 31 | ↑ Improving |
W. SalibaFrance | DEF | €64M | 84 | 0.06182 apps | 89% | 24 | ↓ Declining |
J. GarnerEngland | MID | €63M | 84 | 0.15127 apps | 82% | 24 | ↑ Improving |
M. ØdegaardNorway | MID | €63M | 83 | 0.44184 apps | 53% | 27 | → Stable |
A. IsakSweden | FWD | €60.8M | 81 | 0.72136 apps | 91% | 26 | → Stable |
M. ThuramFrance | FWD | €60.8M | 81 | 0.71176 apps | 94% | 28 | → Stable |
PotePortugal | FWD | €60.8M | 81 | 0.78230 apps | 79% | 27 | → Stable |
RaphinhaBrazil | FWD | €60.8M | 81 | 1.03174 apps | 100% | 29 | ↑ Improving |
A. TchouaméniFrance | MID | €58.1M | 81 | 0.09193 apps | 94% | 25 | → Stable |
E. FernándezArgentina | MID | €58.1M | 82 | 0.39225 apps | 98% | 24 | → Stable |
Martín ZubimendiSpain | MID | €58.1M | 81 | 0.14181 apps | 96% | 26 | → Stable |
Álex GrimaldoSpain | DEF | €57M | 83 | 0.52191 apps | 99% | 30 | → Stable |
J. TimberArsenal | DEF | €57M | 82 | 0.17182 apps | 85% | 24 | ↑ Improving |
Kim Min-JaeSouth Korea | DEF | €57M | 83 | 0.08158 apps | 54% | 29 | → Stable |
Marc CucurellaSpain | DEF | €57M | 84 | 0.13159 apps | 100% | 27 | ↑ Improving |
M. MuheimSwitzerland | DEF | €57M | 84 | 0.30130 apps | 97% | 27 | → Stable |
J. BowenEngland | FWD | €55.2M | 79 | 0.56159 apps | 97% | 29 | ↑ Improving |
M. Gibbs-WhiteEngland | FWD | €55.2M | 79 | 0.48159 apps | 95% | 25 | ↑ Improving |
P. FodenEngland | FWD | €55.2M | 81 | 0.62209 apps | 93% | 25 | → Stable |
Bruno GuimarãesBrazil | MID | €53.2M | 81 | 0.36180 apps | 100% | 28 | → Stable |
M. KonéFrance | MID | €53.2M | 82 | 0.13122 apps | 100% | 24 | ↑ Improving |
T. ReijndersNetherlands | MID | €53.2M | 84 | 0.33181 apps | 99% | 27 | ↑ Improving |
I. KonatéFrance | DEF | €52.6M | 82 | 0.05167 apps | 95% | 26 | → Stable |
J. GvardiolCroatia | DEF | €52.6M | 82 | 0.19176 apps | 96% | 23 | ↑ Improving |
M. CashPoland | DEF | €52.6M | 83 | 0.13145 apps | 88% | 28 | ↑ Improving |
Pedro PorroSpain | DEF | €52.6M | 83 | 0.26160 apps | 100% | 26 | ↓ Declining |
Rúben DiasPortugal | DEF | €52.6M | 82 | 0.03177 apps | 90% | 28 | → Stable |
J. MusialaGermany | FWD | €51.3M | 80 | 0.71151 apps | 40% | 22 | → Stable |
J. ÁlvarezArgentina | FWD | €51.3M | 81 | 0.79231 apps | 99% | 25 | ↑ Improving |
G. DonnarummaItaly | GK | €48.9M | 88 | 0.00171 apps | 97% | 26 | → Stable |
Fabián RuizSpain | MID | €48.3M | 82 | 0.36171 apps | 100% | 29 | ↑ Improving |
F. de JongNetherlands | MID | €48.3M | 82 | 0.21154 apps | 98% | 28 | ↑ Improving |
M. HjulmandDenmark | MID | €48.3M | 80 | 0.15307 apps | 94% | 26 | ↑ Improving |
J. RyersonNorway | DEF | €48.1M | 81 | 0.26163 apps | 94% | 28 | ↑ Improving |
L. ColwillEngland | DEF | €48.1M | 79 | 0.09100 apps | 53% | 22 | → Stable |
M. AkanjiSwitzerland | DEF | €48.1M | 80 | 0.05190 apps | 88% | 30 | ↓ Declining |
R. Aït-NouriAlgeria | DEF | €48.1M | 81 | 0.25213 apps | 59% | 24 | ↑ Improving |
A. SemenyoGhana | FWD | €47.4M | 78 | 0.54166 apps | 98% | 25 | ↑ Improving |
B. BarcolaFrance | FWD | €47.4M | 80 | 0.69257 apps | 98% | 23 | ↑ Improving |
C. GakpoNetherlands | FWD | €47.4M | 80 | 0.60196 apps | 98% | 26 | → Stable |
E. DemirovićBosnia & Herzegovina | FWD | €47.4M | 80 | 0.74180 apps | 100% | 27 | → Stable |
J. DavidCanada | FWD | €47.4M | 78 | 0.74184 apps | 99% | 25 | ↓ Declining |
M. RogersEngland | FWD | €47.4M | 78 | 0.50163 apps | 99% | 23 | ↑ Improving |
A. RüdigerGermany | DEF | €45.9M | 84 | 0.05180 apps | 51% | 32 | ↓ Declining |
H. KaneEngland | FWD | €45.9M | 90 | 1.26202 apps | 97% | 32 | → Stable |
ZizoEgypt | MID | €44.9M | 79 | 0.57129 apps | 100% | 29 | → Stable |
K. LaimerAustria | MID | €44.9M | 80 | 0.26196 apps | 99% | 28 | ↑ Improving |
Mateus FernandesPortugal | MID | €44.9M | 79 | 0.21145 apps | 100% | 21 | ↑ Improving |
G. ManciniAS Roma | DEF | €43.7M | 81 | 0.12181 apps | 100% | 29 | ↑ Improving |
N. BrownGermany | DEF | €43.7M | 81 | 0.30118 apps | 99% | 22 | ↑ Improving |
David RayaSpain | GK | €43.5M | 88 | 0.00188 apps | 99% | 30 | → Stable |
K. HavertzGermany | FWD | €43.5M | 77 | 0.63167 apps | 44% | 26 | ↑ Improving |
Mostafa ZicoEgypt | FWD | €43.5M | 78 | 0.48152 apps | 100% | 28 | ↑ Improving |
T. CourtoisBelgium | GK | €43.5M | 87 | 0.02153 apps | 91% | 33 | ↓ Declining |
O. WatkinsEngland | FWD | €43M | 83 | 0.69178 apps | 95% | 30 | → Stable |
Mohanad LasheenEgypt | MID | €41.5M | 79 | 0.08143 apps | 40% | 29 | ↑ Improving |
BremerBrazil | DEF | €40.6M | 80 | 0.17117 apps | 64% | 28 | ↑ Improving |
D. HuijsenSpain | DEF | €40.6M | 79 | 0.12128 apps | 100% | 20 | ↑ Improving |
K. DansoAustria | DEF | €40.6M | 79 | 0.02138 apps | 89% | 27 | ↓ Declining |
M. GuéhiEngland | DEF | €40.6M | 78 | 0.12162 apps | 92% | 25 | ↑ Improving |
Mohamed HanyEgypt | DEF | €40.6M | 80 | 0.14125 apps | 85% | 29 | ↑ Improving |
Alisson BeckerBrazil | GK | €40.2M | 86 | 0.00153 apps | 88% | 33 | ↓ Declining |
Pool: players with a GoalPost Value or Workrate score and a resolved profile. GPS is the season rating composite; G+A/90 comes 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.



































































































