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Clearances

86 players · Goalkeepers across all five leagues · every home matches on record · minimum 20 appearances

A siege metric. High clearance counts describe a defence under sustained pressure more than they describe a defender.

League

Team

93 with stats on record

Position

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Per 90 — rate over 90 minutes playedLast 5 — actual counts, newest first. Hover one for the opponent, minutes and dateOver 1.5 — share of appearances beating that line
PlayerTeamAppsMins/appPer 90Last 5 matchesOver 0.5Over 1.5Over 2.5
Luiz Lúcio Reis JúniorGKVillarreal22902.054323191%20/2264%14/2236%8/22
Robin ZentnerGKFSV Mainz 0522891.935501277%17/2250%11/2227%6/22
Martin DúbravkaGKBurnley22901.862113186%19/2241%9/2227%6/22
Viktor JohanssonGKStoke City35901.605201277%27/3551%18/3517%6/35
Egil SelvikGKWatford27901.561110381%22/2744%12/2719%5/27
Arijanet MurićGKSassuolo24901.380133071%17/2438%9/2421%5/24
Radek VítekGKBristol City20901.352011280%16/2035%7/2020%4/20
Jakub StolarczykGKLeicester City24881.322121267%16/2438%9/2413%3/24
Dean HendersonGKCrystal Palace37901.240122262%23/3738%14/3714%5/37
Jordan PickfordGKEverton38901.213222074%28/3839%15/385%2/38
Nick PopeGKNewcastle United27901.190111270%19/2730%8/2715%4/27
Alisson Ramsés BeckerGKLiverpool27901.190210263%17/2733%9/2711%3/27
Mads HermansenGKLeicester City22901.180011055%12/2241%9/2218%4/22
José Pedro Malheiro de SáGKWolverhampton Wanderers29901.171251469%20/2921%6/2910%3/29
Jean ButezGKComo29881.160001466%19/2928%8/2914%4/29
Guglielmo VicarioGKTottenham Hotspur28901.141332057%16/2836%10/2818%5/28
Sergio Herrera PirónGKOsasuna37901.142120273%27/3730%11/378%3/37
Jacob Widell ZetterströmGKDerby County37901.140011165%24/3735%13/3711%4/37
Wladimiro FalconeGKLecce38901.130312155%21/3834%13/3821%8/38
Vladan KovačevićGKNorwich City23901.130101074%17/2326%6/2313%3/23
Aynsley PearsGKBlackburn Rovers27901.111210178%21/2726%7/277%2/27
Frederik RønnowGKFC Union Berlin29901.102011062%18/2928%8/2910%3/29
Christian WaltonGKIpswich Town23891.101134178%18/2317%4/239%2/23
Kamil GrabaraGKVfL Wolfsburg31901.101103174%23/3126%8/3110%3/31
Nicolas SchmidGKPortsmouth33901.091221070%23/3330%10/339%3/33
Matz SelsGKNottingham Forest33891.081000067%22/3327%9/3312%4/33
Zion SuzukiGKParma28901.070220064%18/2836%10/287%2/28
James Andrew CummingGKOxford United46901.071101074%34/4624%11/469%4/46
Péter GulácsiGKRB Leipzig26851.060071342%11/2623%6/2619%5/26
Marko DmitrovićGKEspanyol34901.030110165%22/3426%9/3412%4/34
Joan García PonsGKEspanyol35901.030211266%23/3529%10/359%3/35
Lorenzo MontipòGKHellas Verona37901.030223057%21/3727%10/3716%6/37
Bernd LenoGKFulham38901.030020063%24/3832%12/388%3/38
Max O’LearyGKBristol City35891.011013060%21/3526%9/3514%5/35
Oliver BaumannGKTSG Hoffenheim31901.000240261%19/3126%8/316%2/31
Paulo Dino GazzanigaGKGirona36890.992200158%21/3625%9/368%3/36
Antonio Sivera SalváGKDeportivo Alavés35890.981212071%25/3523%8/353%1/35
Bart VerbruggenGKBrighton & Hove Albion37900.971002168%25/3724%9/375%2/37
Nikola VasiljGKSt. Pauli34900.972011362%21/3426%9/349%3/34
Ivan ProvedelGKLazio28900.960101161%17/2825%7/2811%3/28
Moritz NicolasGKBorussia Mönchengladbach26900.961110065%17/2619%5/268%2/26
Ivor PandurGKHull City47900.962003064%30/4721%10/479%4/47
Noah AtuboluGKSC Freiburg30890.940124163%19/3017%5/3010%3/30
Alphonse AreolaGKWest Ham United22880.931121064%14/2223%5/225%1/22
Marco CarnesecchiGKAtalanta37900.921010270%26/3722%8/370%0/37
Unai Simón MendibilGKAthletic Club28900.890100050%14/2825%7/2811%3/28
Finn DahmenGKFC Augsburg26900.880004242%11/2619%5/268%2/26
Alexander NübelGKVfB Stuttgart34900.882010256%19/3426%9/346%2/34
Carl RushworthGKCoventry City24900.881030158%14/2425%6/244%1/24
Alex MeretGKNapoli22900.870200050%11/2223%5/229%2/22
Alex PalmerGKWest Bromwich Albion25870.870010056%14/2516%4/258%2/25
James BeadleGKSheffield Wednesday37900.862100159%22/3719%7/373%1/37
Nicola LealiGKGenoa27850.860020152%14/2722%6/277%2/27
Giorgi MamardashviliGKValencia21900.860101067%14/2114%3/215%1/21
Ionuț Andrei RaduGKCelta de Vigo27900.851102170%19/2715%4/270%0/27
Illan MeslierGKLeeds United20900.850110165%13/2020%4/200%0/20
Vanja Milinković SavićGKTorino32900.841101169%22/3216%5/320%0/32
Alejandro Remiro GargalloGKReal Sociedad37900.842200154%20/3724%9/375%2/37
Damián Emiliano MartínezGKAston Villa36900.831010267%24/3611%4/363%1/36
David Raya MartinGKArsenal38900.820110353%20/3824%9/385%2/38
Maduka OkoyeGKUdinese27900.810002052%14/2726%7/274%1/27
Elia CaprileGKCagliari30900.802210343%13/3023%7/3010%3/30
David Soria SolísGKGetafe38900.790010053%20/3816%6/388%3/38
Solomon BrynnGKMiddlesbrough28890.760000257%16/2818%5/280%0/28
Łukasz SkorupskiGKBologna23840.751111052%12/2313%3/234%1/23
Thomas KaminskiGKLuton Town41900.732100151%21/4115%6/417%3/41
Robert Lynch SanchezGKChelsea36890.730110158%21/3614%5/360%0/36
Augusto Martín Batalla BargaGKRayo Vallecano33900.732100045%15/3318%6/336%2/33
Gregor KobelGKBorussia Dortmund33900.731020155%18/3315%5/333%1/33
Anthony PattersonGKSunderland30910.730011050%15/3013%4/307%2/30
Caoimhin KelleherGKBrentford25900.721113052%13/2512%3/258%2/25
Michael ZettererGKWerder Bremen28900.722310146%13/2821%6/284%1/28
Leonardo Román RiquelmeGKMallorca20900.702111145%9/2020%4/205%1/20
Michael CooperGKSheffield United40900.701201053%21/4015%6/403%1/40
David de Gea QuintanaGKFiorentina35900.690011060%21/359%3/350%0/35
Lawrence VigourouxGKSwansea City45900.672111151%23/4516%7/450%0/45
James TraffordGKBurnley24900.670310050%12/248%2/248%2/24
Manuel NeuerGKFC Bayern München23870.630021043%10/2317%4/230%0/23
Jan OblakGKAtlético de Madrid36900.580100044%16/3614%5/360%0/36
Yann SommerGKInter33900.580100042%14/3312%4/333%1/33
Mike MaignanGKAC Milan38890.531010045%17/385%2/383%1/38
Lukas JensenGKMillwall21900.520201043%9/2110%2/210%0/21
Emil Audero MulyadiGKCremonese22900.500110045%10/225%1/220%0/22
Mile SvilarGKRoma38900.501301142%16/385%2/383%1/38
Thibaut CourtoisGKReal Madrid28900.430002032%9/2811%3/280%0/28
Michele Di GregorioGKJuventus33890.370000127%9/336%2/333%1/33

86 players. Hit rates are what happened, not what will. A 100% over a five-match window is five matches, and five matches is not evidence — the Apps column is there to be read alongside every percentage in this table.