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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.

1,463 of 1,463 tracked players match — showing the top 100 by sort.
PlayerPosValueGPSG+A /90Avail.AgeTrajectory
Kylian MbappéFranceFWD€150M921.13193 apps96%27→ Stable
E. HaalandNorwayFWD€127M901.03201 apps95%25→ Stable
Vinícius JúniorBrazilFWD€127M900.76201 apps95%25→ Stable
J. BellinghamEnglandMID€116M900.56190 apps88%22→ Stable
F. ValverdeUruguayMID€109M890.37211 apps98%27→ Stable
V. GyökeresSwedenFWD€106M880.95197 apps98%27→ Stable
J. KimmichGermanyMID€96.6M880.31191 apps99%30→ Stable
A. HakimiMoroccoDEF€93.1M890.41175 apps100%27→ Stable
L. DíazColombiaFWD€92.8M860.71165 apps100%28↑ Improving
RodriSpainMID€90.7M870.19150 apps57%29→ Stable
F. WirtzGermanyMID€84.7M860.62162 apps95%22→ Stable
T. ReijndersNetherlandsMID€84.7M850.33181 apps99%27↑ Improving
D. SolankeEnglandFWD€80.5M840.51130 apps45%28↓ Declining
K. KvaratskheliaParis Saint GermainFWD€80.5M840.66220 apps94%24→ Stable
M. CaicedoEcuadorMID€78.8M870.10187 apps100%24→ Stable
VitinhaPortugalMID€78.8M860.28209 apps98%25↑ Improving
J. KoundéFranceDEF€76.6M870.19184 apps89%27↑ Improving
Nuno MendesPortugalDEF€76.6M870.33131 apps98%23→ Stable
Lautaro MartínezArgentinaFWD€74.8M840.77196 apps94%28→ Stable
D. RiceEnglandMID€73.5M840.32211 apps96%26→ Stable
S. BergeNorwayMID€73.5M840.08156 apps93%27↓ Declining
A. IsakSwedenFWD€69M830.72136 apps91%26→ Stable
B. SakaEnglandFWD€69M830.68187 apps79%24→ Stable
Lamine YamalSpainFWD€69M830.78169 apps56%18↑ Improving
M. OliseFranceFWD€69M830.90176 apps100%24↑ Improving
A. Mac AllisterArgentinaMID€68.3M840.32188 apps89%27↓ Declining
M. LocatelliJuventusMID€68.3M850.13222 apps98%27↑ Improving
N. BarellaInterMID€68.3M840.28240 apps96%28→ Stable
PedriSpainMID€68.3M840.35163 apps94%23↑ Improving
N. O'ReillyEnglandMID€68.3M830.36134 apps95%20↑ Improving
A. BastoniInterDEF€66.5M850.17219 apps100%26↑ Improving
Gabriel MagalhãesBrazilDEF€66.5M850.14195 apps81%28↑ Improving
J. TahGermanyDEF€66.5M830.11220 apps100%29→ Stable
MarquinhosBrazilDEF€66.5M840.08165 apps99%31↑ Improving
T. Alexander-ArnoldReal MadridDEF€66.5M830.32204 apps50%27↓ Declining
W. PachoEcuadorDEF€66.5M830.06187 apps99%24↓ Declining
PotePortugalFWD€63.6M820.78230 apps79%27→ Stable
J. GarnerEnglandMID€63M840.14140 apps82%24↑ Improving
M. ØdegaardNorwayMID€63M830.44184 apps53%27→ Stable
D. UpamecanoFranceDEF€61.8M830.09156 apps89%27↑ Improving
E. KonsaEnglandDEF€61.8M830.03168 apps95%28↑ Improving
J. TimberArsenalDEF€61.8M830.19185 apps85%24↑ Improving
W. SalibaFranceDEF€61.8M840.06187 apps89%24↓ Declining
M. ThuramFranceFWD€58.3M810.71176 apps94%28→ Stable
A. TchouaméniFranceMID€58.1M810.09193 apps94%25→ Stable
E. FernándezArgentinaMID€58.1M820.39225 apps98%24→ Stable
João NevesPortugalMID€58.1M830.30199 apps62%21↑ Improving
Martín ZubimendiSpainMID€58.1M810.14181 apps96%26→ Stable
X. SimonsNetherlandsMID€58.1M820.56161 apps90%22→ Stable
Álex GrimaldoSpainDEF€57M830.52191 apps99%30→ Stable
Kim Min-JaeSouth KoreaDEF€57M830.08158 apps54%29→ Stable
Marc CucurellaSpainDEF€57M840.13159 apps100%27↑ Improving
M. MuheimSwitzerlandDEF€57M840.30130 apps97%27→ Stable
Rúben DiasPortugalDEF€57M830.03177 apps90%28→ Stable
Bruno GuimarãesBrazilMID€53.2M810.36180 apps100%28→ Stable
M. HjulmandDenmarkMID€53.2M810.15317 apps94%26↑ Improving
J. MusialaGermanyFWD€52.9M810.71151 apps41%22→ Stable
J. BowenEnglandFWD€52.9M790.56159 apps97%29↑ Improving
M. Gibbs-WhiteEnglandFWD€52.9M790.49170 apps95%25↑ Improving
O. DembéléFranceFWD€52.9M811.10174 apps55%28↑ Improving
P. FodenEnglandFWD€52.9M810.62209 apps93%25→ Stable
RaphinhaBrazilFWD€52.9M821.03174 apps100%29↑ Improving
D. HuijsenSpainDEF€52.6M810.15162 apps100%20↑ Improving
I. KonatéFranceDEF€52.6M820.05167 apps95%26→ Stable
J. GvardiolCroatiaDEF€52.6M820.19176 apps96%23↑ Improving
L. ColwillEnglandDEF€52.6M800.09112 apps54%22→ Stable
M. CashPolandDEF€52.6M830.13145 apps88%28↑ Improving
Pedro PorroSpainDEF€52.6M830.26160 apps100%26↓ Declining
R. Aït-NouriAlgeriaDEF€52.6M820.25213 apps59%24↑ Improving
A. SemenyoGhanaFWD€49.2M790.54166 apps98%25↑ Improving
B. BarcolaFranceFWD€49.2M810.72265 apps98%23↑ Improving
E. DemirovićBosnia & HerzegovinaFWD€49.2M810.74180 apps100%27→ Stable
Mostafa ZicoEgyptFWD€49.2M800.48152 apps100%28↑ Improving
A. RabiotFranceMID€48.3M790.36173 apps100%30↑ Improving
B. CristanteAS RomaMID€48.3M810.14181 apps93%30↑ Improving
Fabián RuizSpainMID€48.3M820.36171 apps100%29↑ Improving
F. de JongNetherlandsMID€48.3M820.21154 apps98%28↑ Improving
BremerBrazilDEF€48.1M820.17117 apps64%28↑ Improving
J. RyersonNorwayDEF€48.1M810.26163 apps94%28↑ Improving
M. AkanjiSwitzerlandDEF€48.1M800.05190 apps88%30↓ Declining
C. GakpoNetherlandsFWD€45.4M800.60196 apps98%26→ Stable
J. DavidCanadaFWD€45.4M780.74184 apps99%25↓ Declining
J. ÁlvarezArgentinaFWD€45.4M800.79244 apps99%25↑ Improving
K. HavertzGermanyFWD€45.4M780.63167 apps44%26↑ Improving
K. LaimerAustriaMID€44.9M800.26196 apps99%28↑ Improving
M. KonéFranceMID€44.9M800.12135 apps100%24↑ Improving
T. AdamsUSAMID€44.9M800.1293 apps86%26→ Stable
G. DonnarummaItalyGK€44.1M880.00171 apps97%26→ Stable
G. ManciniAS RomaDEF€43.7M810.12181 apps100%29↑ Improving
Mohamed HanyEgyptDEF€43.7M810.14125 apps85%29↑ Improving
A. RüdigerGermanyDEF€43M840.05180 apps51%32↓ Declining
I. SarrSenegalFWD€41.7M780.48141 apps60%27→ Stable
M. RogersEnglandFWD€41.7M770.50168 apps99%23↑ Improving
N. JacksonSenegalFWD€41.7M780.73148 apps92%24→ Stable
ZizoEgyptMID€41.5M780.54135 apps100%29→ Stable
A. GülerReal MadridMID€41.5M800.68125 apps100%20→ Stable
J. KarlströmSwedenMID€41.5M790.07140 apps100%30↓ Declining
Mohanad LasheenEgyptMID€41.5M790.08143 apps41%29↑ Improving
T. CourtoisBelgiumGK€41.4M880.02153 apps91%33↓ Declining
O. WatkinsEnglandFWD€41.2M830.69178 apps95%30→ Stable

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.