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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.
PlayerPosValueGPSG+A /90Avail.AgeTrajectory
Kylian MbappéFranceFWD€152M921.13193 apps96%27→ Stable
Vinícius JúniorBrazilFWD€152M900.76201 apps95%25→ Stable
Lamine YamalSpainFWD€149M830.76153 apps56%18↑ Improving
E. HaalandNorwayFWD€142M901.03201 apps95%25→ Stable
J. BellinghamEnglandMID€137M900.56190 apps88%22→ Stable
F. ValverdeUruguayMID€119M890.37211 apps98%27→ Stable
VitinhaPortugalMID€119M860.29204 apps98%25↑ Improving
A. HakimiMoroccoDEF€112M890.42167 apps100%27→ Stable
F. WirtzGermanyMID€109M860.62162 apps95%22→ Stable
L. DíazColombiaFWD€107M860.71165 apps100%28↑ Improving
D. RiceEnglandMID€102M840.32211 apps96%26→ Stable
PedriSpainMID€102M840.35163 apps94%23↑ Improving
João NevesPortugalMID€93.8M820.31183 apps61%21↑ Improving
RodriSpainMID€93.8M840.19150 apps57%29→ Stable
K. KvaratskheliaParis Saint GermainFWD€89.6M840.66218 apps94%24→ Stable
M. CaicedoEcuadorMID€86.1M860.10187 apps100%24→ Stable
Nuno MendesPortugalDEF€84.9M860.33131 apps98%23→ Stable
J. KimmichGermanyMID€83.5M880.31191 apps99%30→ Stable
D. SolankeEnglandFWD€80.8M830.51130 apps45%28↓ Declining
O. DembéléFranceFWD€80.8M811.10174 apps55%28↑ Improving
V. GyökeresSwedenFWD€80.8M880.95197 apps98%27→ Stable
X. SimonsNetherlandsFWD€80.8M820.56158 apps90%22→ Stable
J. KoundéFranceDEF€77.9M860.19184 apps89%27↑ Improving
B. SakaEnglandFWD€72M830.68187 apps79%24→ Stable
Lautaro MartínezArgentinaFWD€72M830.77196 apps94%28→ Stable
M. OliseFranceFWD€72M830.90166 apps100%24↑ Improving
A. BastoniInterDEF€70.9M850.17216 apps100%26↑ Improving
Gabriel MagalhãesBrazilDEF€70.9M850.14195 apps81%28↑ Improving
J. TahGermanyDEF€70.9M830.11220 apps100%29→ Stable
T. Alexander-ArnoldReal MadridDEF€70.9M830.32204 apps50%27↓ Declining
W. PachoEcuadorDEF€70.9M830.06187 apps99%24↓ Declining
A. Mac AllisterArgentinaMID€70.7M840.32188 apps89%27↓ Declining
M. LocatelliJuventusMID€70.7M850.13217 apps98%27↑ Improving
N. BarellaInterMID€70.7M840.28240 apps96%28→ Stable
N. O'ReillyEnglandMID€70.7M830.36134 apps95%20↑ Improving
D. UpamecanoFranceDEF€64M830.09156 apps89%27↑ Improving
Douglas SantosBrazilDEF€64M840.10158 apps100%31→ Stable
E. KonsaEnglandDEF€64M830.03168 apps95%28↑ Improving
MarquinhosBrazilDEF€64M830.08165 apps99%31↑ Improving
W. SalibaFranceDEF€64M840.06182 apps89%24↓ Declining
J. GarnerEnglandMID€63M840.15127 apps82%24↑ Improving
M. ØdegaardNorwayMID€63M830.44184 apps53%27→ Stable
A. IsakSwedenFWD€60.8M810.72136 apps91%26→ Stable
M. ThuramFranceFWD€60.8M810.71176 apps94%28→ Stable
PotePortugalFWD€60.8M810.78230 apps79%27→ Stable
RaphinhaBrazilFWD€60.8M811.03174 apps100%29↑ Improving
A. TchouaméniFranceMID€58.1M810.09193 apps94%25→ Stable
E. FernándezArgentinaMID€58.1M820.39225 apps98%24→ Stable
Martín ZubimendiSpainMID€58.1M810.14181 apps96%26→ Stable
Álex GrimaldoSpainDEF€57M830.52191 apps99%30→ Stable
J. TimberArsenalDEF€57M820.17182 apps85%24↑ Improving
Kim Min-JaeSouth KoreaDEF€57M830.08158 apps54%29→ Stable
Marc CucurellaSpainDEF€57M840.13159 apps100%27↑ Improving
M. MuheimSwitzerlandDEF€57M840.30130 apps97%27→ Stable
J. BowenEnglandFWD€55.2M790.56159 apps97%29↑ Improving
M. Gibbs-WhiteEnglandFWD€55.2M790.48159 apps95%25↑ Improving
P. FodenEnglandFWD€55.2M810.62209 apps93%25→ Stable
Bruno GuimarãesBrazilMID€53.2M810.36180 apps100%28→ Stable
M. KonéFranceMID€53.2M820.13122 apps100%24↑ Improving
T. ReijndersNetherlandsMID€53.2M840.33181 apps99%27↑ Improving
I. KonatéFranceDEF€52.6M820.05167 apps95%26→ Stable
J. GvardiolCroatiaDEF€52.6M820.19176 apps96%23↑ Improving
M. CashPolandDEF€52.6M830.13145 apps88%28↑ Improving
Pedro PorroSpainDEF€52.6M830.26160 apps100%26↓ Declining
Rúben DiasPortugalDEF€52.6M820.03177 apps90%28→ Stable
J. MusialaGermanyFWD€51.3M800.71151 apps40%22→ Stable
J. ÁlvarezArgentinaFWD€51.3M810.79231 apps99%25↑ Improving
G. DonnarummaItalyGK€48.9M880.00171 apps97%26→ Stable
Fabián RuizSpainMID€48.3M820.36171 apps100%29↑ Improving
F. de JongNetherlandsMID€48.3M820.21154 apps98%28↑ Improving
M. HjulmandDenmarkMID€48.3M800.15307 apps94%26↑ Improving
J. RyersonNorwayDEF€48.1M810.26163 apps94%28↑ Improving
L. ColwillEnglandDEF€48.1M790.09100 apps53%22→ Stable
M. AkanjiSwitzerlandDEF€48.1M800.05190 apps88%30↓ Declining
R. Aït-NouriAlgeriaDEF€48.1M810.25213 apps59%24↑ Improving
A. SemenyoGhanaFWD€47.4M780.54166 apps98%25↑ Improving
B. BarcolaFranceFWD€47.4M800.69257 apps98%23↑ Improving
C. GakpoNetherlandsFWD€47.4M800.60196 apps98%26→ Stable
E. DemirovićBosnia & HerzegovinaFWD€47.4M800.74180 apps100%27→ Stable
J. DavidCanadaFWD€47.4M780.74184 apps99%25↓ Declining
M. RogersEnglandFWD€47.4M780.50163 apps99%23↑ Improving
A. RüdigerGermanyDEF€45.9M840.05180 apps51%32↓ Declining
H. KaneEnglandFWD€45.9M901.26202 apps97%32→ Stable
ZizoEgyptMID€44.9M790.57129 apps100%29→ Stable
K. LaimerAustriaMID€44.9M800.26196 apps99%28↑ Improving
Mateus FernandesPortugalMID€44.9M790.21145 apps100%21↑ Improving
G. ManciniAS RomaDEF€43.7M810.12181 apps100%29↑ Improving
N. BrownGermanyDEF€43.7M810.30118 apps99%22↑ Improving
David RayaSpainGK€43.5M880.00188 apps99%30→ Stable
K. HavertzGermanyFWD€43.5M770.63167 apps44%26↑ Improving
Mostafa ZicoEgyptFWD€43.5M780.48152 apps100%28↑ Improving
T. CourtoisBelgiumGK€43.5M870.02153 apps91%33↓ Declining
O. WatkinsEnglandFWD€43M830.69178 apps95%30→ Stable
Mohanad LasheenEgyptMID€41.5M790.08143 apps40%29↑ Improving
BremerBrazilDEF€40.6M800.17117 apps64%28↑ Improving
D. HuijsenSpainDEF€40.6M790.12128 apps100%20↑ Improving
K. DansoAustriaDEF€40.6M790.02138 apps89%27↓ Declining
M. GuéhiEnglandDEF€40.6M780.12162 apps92%25↑ Improving
Mohamed HanyEgyptDEF€40.6M800.14125 apps85%29↑ Improving
Alisson BeckerBrazilGK€40.2M860.00153 apps88%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.