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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
Rami FayezAl-SailiyaMID€53K380.0083 apps100%38→ Stable
Y. CourtIMT Novi BeogradFWD€58K410.32119 apps100%35↓ Declining
K. BarbarousesNew ZealandFWD€58K400.42166 apps100%35→ Stable
K. GrosickiPogon SzczecinFWD€61K430.51139 apps100%37↓ Declining
T. ZwaneSouth AfricaMID€64K430.19107 apps100%36↓ Declining
Ryan MendesCape Verde IslandsFWD€75K440.4776 apps100%36↑ Improving
Nuno da CostaCape Verde IslandsFWD€77K430.54125 apps94%34↓ Declining
J. HoilettCanadaFWD€81K460.56176 apps100%35→ Stable
J. SeriIvory CoastMID€85K400.1486 apps100%34→ Stable
J. AyewGhanaFWD€90K450.33161 apps99%34↓ Declining
L. InsigneToronto FCFWD€90K430.58121 apps96%34→ Stable
M. BoxallNew ZealandDEF€91K480.04151 apps99%37↑ Improving
G. ÁvalosParaguayFWD€92K460.68315 apps97%35↑ Improving
Garry RodriguesCape Verde IslandsFWD€92K470.4791 apps95%35↓ Declining
E. HajisafiIranDEF€97K440.1683 apps100%35↑ Improving
J. RodríguezPortland TimbersFWD€97K400.73152 apps39%32↑ Improving
J. LocadiaCuraçaoFWD€97K410.5983 apps100%32→ Stable
M. BoyleAustraliaFWD€97K400.52134 apps100%32↑ Improving
J. OsorioToronto FCMID€101K390.27117 apps92%33↓ Declining
K. McLeanScotlandMID€101K410.13172 apps93%33→ Stable
P. WszołekPolandMID€101K390.26146 apps97%33↓ Declining
T. ReamCharlotteDEF€105K490.05154 apps98%38↑ Improving
E. ValenciaEcuadorFWD€107K470.62126 apps94%36↓ Declining
StopiraCape Verde IslandsDEF€113K520.0653 apps100%37→ Stable
Y. NagatomoJapanDEF€120K510.09112 apps100%39→ Stable
R. CheshmiIranMID€124K400.0482 apps100%32↓ Declining
W. VaulksOxford UnitedMID€124K400.08268 apps90%32↓ Declining
A. GodoyPanamaMID€131K470.12131 apps98%35↓ Declining
Ahmed Al KassarSaudi ArabiaGK€131K500.0094 apps100%34↑ Improving
K. GorréCuraçaoFWD€133K410.42101 apps100%31↓ Declining
S. MoghanlouIranFWD€133K420.54144 apps100%31→ Stable
Willy SemedoCape Verde IslandsFWD€133K400.48124 apps100%31→ Stable
Ahmed AlaaQatarFWD€136K450.5588 apps100%32→ Stable
C. FassnachtSwitzerlandFWD€136K440.67136 apps83%32↑ Improving
N. MendySenegalMID€142K460.05112 apps100%33↓ Declining
VózinhaCape Verde IslandsGK€143K580.0038 apps100%39↓ Declining
Y. BárcenasPanamaMID€149K430.22111 apps76%32↓ Declining
Fernando AndradeAmedFWD€153K490.6570 apps100%33↑ Improving
S. GhoddosIranFWD€155K480.4295 apps100%32↑ Improving
Hamdi FathyEgyptMID€156K390.1097 apps51%31→ Stable
M. AlmirónParaguayMID€156K420.29143 apps100%31↑ Improving
Salman Al FarajSaudi ArabiaMID€159K510.25126 apps100%36↓ Declining
J. FajardoPanamaFWD€175K470.66126 apps100%32↓ Declining
Karim BoudiafQatarMID€180K500.1159 apps100%35→ Stable
M. DepayCorinthiansFWD€186K450.55119 apps52%31→ Stable
A. AlipourIranFWD€194K430.4278 apps100%30↑ Improving
F. PierrotHaitiFWD€194K410.40121 apps100%30↓ Declining
L. DykesScotlandFWD€194K380.31159 apps98%30↓ Declining
J. SteeleEnglandGK€195K550.01120 apps78%35↑ Improving
A. TshibolaCongo DRMID€201K400.0675 apps94%30↓ Declining
B. AubaasMamelodi SundownsMID€201K390.01116 apps100%30↓ Declining
Ahmed DoozandehAl-Arabi SCMID€201K450.0053 apps100%30↓ Declining
S. AriasColombiaDEF€210K470.12120 apps95%33→ Stable
A. SchöpfAustriaMID€219K450.24122 apps100%31↑ Improving
J. RodríguezColombiaFWD€222K520.55121 apps97%34→ Stable
K. SemaSwedenMID€224K480.20143 apps100%32↓ Declining
M. AcuñaArgentinaDEF€228K490.17162 apps100%34↑ Improving
Hussein AliIraqDEF€238K450.1155 apps100%23→ Stable
J. Marshall-RuttyNew York Red BullsDEF€238K440.07130 apps100%21↑ Improving
T. PayneNew ZealandDEF€238K360.2691 apps37%31↑ Improving
Z. BassongSporting Kansas CityDEF€238K450.0477 apps99%26→ Stable
A. JahanbakhshIranFWD€241K500.4295 apps44%32↓ Declining
Ahmed FathiQatarMID€249K490.0846 apps100%32→ Stable
Á. SepúlvedaMexicoFWD€253K520.72160 apps100%34↑ Improving
C. ImmobileBeşiktaşFWD€253K520.65159 apps52%35→ Stable
Hassan Al HaydosQatarFWD€253K540.5472 apps100%35↑ Improving
J. El YamiqAl NajmaDEF€261K490.08182 apps100%33→ Stable
A. O'NeillAustraliaMID€263K420.12167 apps97%27↓ Declining
A. SherIraqMID€263K380.0678 apps83%23↑ Improving
A. FrancoEcuadorMID€263K400.03195 apps96%27→ Stable
B. KapustkaLegia WarszawaMID€263K410.29105 apps39%29↑ Improving
Bae Jun-HoSouth KoreaMID€263K390.20161 apps92%22→ Stable
B. OjedaParaguayMID€263K420.11123 apps100%25↓ Declining
C. BrannaganOxford UnitedMID€263K410.30221 apps92%29↓ Declining
C. HarveyPanamaMID€263K380.17116 apps62%25→ Stable
Cristian Jesús MartínezPanamaMID€263K390.0272 apps100%28→ Stable
D. GarcíaMexicoMID€263K440.09134 apps98%22↑ Improving
D. SimonHaitiMID€263K390.10106 apps86%25↑ Improving
E. KayembeCongo DRMID€263K400.19142 apps98%27↑ Improving
Ibrahim SadehJordanMID€263K29100%25→ Stable
J. GarzaTigres UANLMID€263K440.0799 apps100%25→ Stable
Élvis Garcia CarvalhoRio Branco PRMID€263K370.0251 apps100%29↓ Declining
J. BellNew ZealandMID€263K420.1798 apps100%26↑ Improving
L. PierreHaitiMID€263K430.0970 apps100%27↑ Improving
M. Peart-HarrisBrentfordMID€263K380.27118 apps81%23→ Stable
M. StamenićNew ZealandMID€263K410.12114 apps98%23↑ Improving
P. PłachetaOxford UnitedMID€263K390.24108 apps87%27↑ Improving
R. McGreeAustraliaMID€263K380.46117 apps35%27↑ Improving
S. DembéléOxford UnitedMID€263K420.21144 apps78%29↓ Declining
S. MillsOxford UnitedMID€263K440.2894 apps100%22↓ Declining
T. ChongCuraçaoMID€263K380.17143 apps80%26↓ Declining
W. LankshearTottenhamMID€263K430.4774 apps100%20↑ Improving
Y. KonakTurkey U21MID€263K440.0247 apps99%20↓ Declining
D. NazonHaitiFWD€266K480.5458 apps98%31↑ Improving
Abdulrahman Al ObudSaudi ArabiaFWD€272K470.5087 apps100%30↑ Improving
H. LozanoSan DiegoFWD€272K450.73149 apps82%30↑ Improving
R. BorréColombiaFWD€272K460.37199 apps91%30↑ Improving
Yannick SemedoCape Verde IslandsMID€281K460.0592 apps100%30↑ Improving
E. ÁguilaMexicoDEF€285K460.04108 apps100%23→ Stable
F. de VriesNew ZealandDEF€285K440.28106 apps100%31↑ Improving

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.