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Connexion

BROOKLYN GRINDERS
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Kyle B | Morale : 80 | Moyenne d’équipe : 66
Prochains matchs #3 vs HALIFAX HELL

HALIFAX HELL
0-0-0, 0pts
Jour 1
BROOKLYN GRINDERS
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
BROOKLYN GRINDERS
0-0-0, 0pts
Jour 3
MANHATTAN SWEDES
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
SYRACUSE BABY BULLS
0-0-0, 0pts
Jour 4
BROOKLYN GRINDERS
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralKyle B
EntraîneurJoe Thornton
DivisionSmythe
ConférenceRosling Conference
CapitaineKirill Marchenko
Assistant #1Brad Lambert
Assistant #2Will Smith


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro35
Équipe Mineure19
Limite contact 54 / 66
Espoirs0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Kirill Marchenko (C)XX100.0013199908995958956818868609192080792261875,000$
2Will Smith (R) (A)XXX100.00541781848388857963868469738685080771211900,000$
3Ridly GreigXX100.0037681878999978469807868708980080771243800,000$
4Evgeny SvechnikovXXX100.009986356982838582707874546899990807312921,200,000$
5Nathan BastianX100.007121797478798773527373695599860807222821,200,000$
6Marco Kasper (R)X100.00391998585889175646567645587770807112251,000,000$
7Beckett Sennecke (R)X100.00513073808371767351757262637570080690202900,000$
8Brayden Yager (R)X100.0038693797878757657727458676975080691211800,000$
9Brad Lambert (R) (A)XX100.00311482818889966272626168678779080681221800,000$
10Igor Chernyshov (R)X100.006592777477786748686163586963080642202800,000$
11Felix Nilsson (R)X100.001199707467657067696465586770080642211700,000$
12Charlie Stramel (R)X100.0058198588169706067606065677076080631211800,000$
13David Jiříček (R)X100.006618758885887974396666665289790807312251,000,000$
14Dmitry KulikovX100.0011995977908387408569866299990807203511,200,000$
15Ian ColeX100.0014499568160749550897970589997080700372900,000$
16Jeremy LauzonX100.00733996677888270446961594491810806922921,200,000$
17Corson Ceulemans (R)X100.00758069727881766744685571447368080691232900,000$
18Mirco MuellerX100.0020199598466877943706271449993080671311890,000$
19Tobias BjörnfotX100.002319969757884674466596850848208066125140,000$
Rayé
1Ryan Winterton (R)X100.0023299828988876972676461568681080692222700,000$
2Will Horcoff (R)XX100.006715886568656765556463675862650806311931,000,000$
3Alexander Zharovsky (R)X100.00421668657367666254656260586667080622193900,000$
4Mathias Emilio PettersenX100.0011997271797667705856586593820806222600$
5Noel Nordh (R)X100.001199727660676252625861546360080602211600,000$
6Tinus Luc Koblar (R)X100.00171178676863656367615963586162080602193800,000$
7Nathan Villeneuve (R)X100.00123871706463585657615663566166080582202700,000$
8John Mustard (R)X100.00392893696863665848565462495759080582202650,000$
9Alexander Campbell (R)X100.002643766676656454565654585574750805822500$
10Tyler Thorpe (R)X100.00297351666861625942585953545964080572212600,000$
11Owen Pickering (R)X100.00361470787781695249595662487273080631225800,000$
12Charlie Trethewey (R)X100.00377344606565686044645666455861080592193700,000$
MOYENNE D’ÉQUIPE100.0035208372787677705568656457797608066
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Calvin Pickard100.00588076807474839082685999930807823411,300,000$
2Jakub Málek (R)100.0065636275676871787158586167080672242600,000$
Rayé
1Eemil Vinni (R)100.0064636165656161616062576258080612202650,000$
2Trenten Bennett (R)100.0060596265595861585956596056080592193600,000$
MOYENNE D’ÉQUIPE100.006266657166656972686158716908066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joe Thornton76668473838377CAN4731,450,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alexander CampbellBROOKLYN GRINDERS (BRK)LW252001-06-01CANYes199 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Alexander Zharovsky (sur la masse salariale)BROOKLYN GRINDERS (BRK)RW192007-02-22RUSYes176 Lbs6 ft2NoNoAssign ManuallyNoNo32026-06-17FalseFalsePro & Farm900,000$900,000$0$0$Yes900,000$900,000$-------40,000$40,000$-------NoNo-------
Beckett SenneckeBROOKLYN GRINDERS (BRK)RW202006-01-28CANYes187 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-12FalseFalsePro & Farm900,000$900,000$90,000$90,000$No900,000$--------40,000$--------No--------
Brad LambertBROOKLYN GRINDERS (BRK)C/RW222003-12-19FINYes184 Lbs6 ft1NoNoTrade2025-01-10NoNo12026-06-13FalseFalsePro & Farm800,000$800,000$80,000$80,000$No---------------------------
Brayden YagerBROOKLYN GRINDERS (BRK)C212005-01-03CANYes179 Lbs6 ft2NoNoTrade2026-03-03NoNo12024-07-04FalseFalsePro & Farm800,000$800,000$80,000$80,000$No---------------------------
Calvin PickardBROOKLYN GRINDERS (BRK)G341992-06-30USANo220 Lbs6 ft0NoNoTrade2025-03-08NoNo1FalseFalsePro & Farm1,300,000$1,300,000$130,000$130,000$No---------------------------
Charlie StramelBROOKLYN GRINDERS (BRK)C212004-10-15USAYes231 Lbs6 ft4NoNoAssign ManuallyNoNo12024-07-04FalseFalsePro & Farm800,000$800,000$80,000$80,000$No---------------------------
Charlie Trethewey (sur la masse salariale)BROOKLYN GRINDERS (BRK)D192007-06-01USAYes200 Lbs6 ft2NoNoAssign ManuallyNoNo32026-06-21FalseFalsePro & Farm700,000$700,000$0$0$Yes700,000$700,000$-------40,000$40,000$-------NoNo-------
Corson CeulemansBROOKLYN GRINDERS (BRK)D232003-05-05CANYes209 Lbs6 ft4NoNoN/ANoNo22025-06-15FalseFalsePro & Farm900,000$900,000$90,000$90,000$No900,000$--------40,000$--------No--------
David JiříčekBROOKLYN GRINDERS (BRK)D222003-11-28CZEYes198 Lbs6 ft4NoNoTrade2025-01-10NoNo52026-06-13FalseFalsePro & Farm1,000,000$1,000,000$100,000$100,000$No1,000,000$1,000,000$1,000,000$1,000,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Dmitry KulikovBROOKLYN GRINDERS (BRK)D351990-10-29RUSNo218 Lbs6 ft1NoNoWaiverNoNo12025-06-15FalseFalsePro & Farm1,200,000$1,200,000$120,000$120,000$No---------------------------
Eemil VinniBROOKLYN GRINDERS (BRK)G202005-12-18FINYes186 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-18FalseFalsePro & Farm650,000$650,000$65,000$65,000$No650,000$--------40,000$--------No--------
Evgeny SvechnikovBROOKLYN GRINDERS (BRK)C/LW/RW291996-10-31RUSNo233 Lbs6 ft5NoNoN/ANoNo22025-06-15FalseFalsePro & Farm1,200,000$1,200,000$120,000$120,000$No1,200,000$--------40,000$--------No--------
Felix NilssonBROOKLYN GRINDERS (BRK)C212005-06-22SWEYes188 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm700,000$700,000$70,000$70,000$No---------------------------
Ian ColeBROOKLYN GRINDERS (BRK)D371989-02-21USANo234 Lbs6 ft1NoNoN/ANoNo22026-03-10FalseFalsePro & Farm900,000$900,000$90,000$90,000$No900,000$--------40,000$--------No--------
Igor ChernyshovBROOKLYN GRINDERS (BRK)LW202005-11-30RUSYes196 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-14FalseFalsePro & Farm800,000$800,000$80,000$80,000$No800,000$--------40,000$--------No--------
Jakub MálekBROOKLYN GRINDERS (BRK)G242002-04-11CZEYes172 Lbs6 ft4NoNoN/ANoNo22025-06-15FalseFalsePro & Farm600,000$600,000$60,000$60,000$No600,000$--------40,000$--------No--------
Jeremy LauzonBROOKLYN GRINDERS (BRK)D291997-05-29CANNo210 Lbs6 ft2NoNoN/ANoNo22026-03-10FalseFalsePro & Farm1,200,000$1,200,000$120,000$120,000$No1,200,000$--------40,000$--------No--------
John MustardBROOKLYN GRINDERS (BRK)LW202006-06-01CANYes183 Lbs6 ft2NoNoTrade2026-01-08NoNo22025-07-18FalseFalsePro & Farm650,000$650,000$65,000$65,000$No650,000$--------40,000$--------No--------
Kirill MarchenkoBROOKLYN GRINDERS (BRK)LW/RW262000-07-21RUSNo200 Lbs6 ft3NoNoN/ANoNo12026-02-23FalseFalsePro & Farm875,000$875,000$87,500$87,500$No---------------------------
Marco KasperBROOKLYN GRINDERS (BRK)C222004-04-08AUSYes191 Lbs6 ft2NoNoN/ANoNo52026-06-13FalseFalsePro & Farm1,000,000$1,000,000$100,000$100,000$No1,000,000$1,000,000$1,000,000$1,000,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Mathias Emilio PettersenBROOKLYN GRINDERS (BRK)C262000-04-03NORNo186 Lbs5 ft10NoNoTrade2024-06-20NoNo0FalseFalsePro & Farm0$0$No---------------------------
Mirco MuellerBROOKLYN GRINDERS (BRK)D311995-03-21SWINo234 Lbs6 ft6NoNoN/ANoNo12024-06-10FalseFalsePro & Farm890,000$890,000$89,000$89,000$No---------------------------Lien NHL
Nathan BastianBROOKLYN GRINDERS (BRK)RW281997-12-06CANNo217 Lbs6 ft1NoNoTrade2026-03-03NoNo22025-06-13FalseFalsePro & Farm1,200,000$1,200,000$120,000$120,000$No1,200,000$--------40,000$--------No--------
Nathan VilleneuveBROOKLYN GRINDERS (BRK)C202006-06-01CANYes186 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm700,000$700,000$70,000$70,000$No700,000$--------40,000$--------No--------
Noel NordhBROOKLYN GRINDERS (BRK)LW212005-06-01SWEYes190 Lbs6 ft6NoNoAssign ManuallyNoNo12024-07-08FalseFalsePro & Farm600,000$600,000$60,000$60,000$No---------------------------
Owen PickeringBROOKLYN GRINDERS (BRK)D222004-01-27CANYes198 Lbs6 ft5NoNoTrade2025-01-22NoNo52026-06-13FalseFalsePro & Farm800,000$800,000$80,000$80,000$No800,000$800,000$800,000$800,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Ridly GreigBROOKLYN GRINDERS (BRK)C/RW242002-08-08CANNo178 Lbs6 ft1NoNoTrade2024-12-12NoNo32024-06-03FalseFalsePro & Farm800,000$800,000$80,000$80,000$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Ryan WintertonBROOKLYN GRINDERS (BRK)C222003-09-04CANYes183 Lbs6 ft3NoNoTrade2024-12-12NoNo22025-06-15FalseFalsePro & Farm700,000$700,000$70,000$70,000$No700,000$--------40,000$--------No--------
Tinus Luc Koblar (sur la masse salariale)BROOKLYN GRINDERS (BRK)C192007-07-21SLOYes176 Lbs6 ft2NoNoAssign ManuallyNoNo32026-06-19FalseFalsePro & Farm800,000$800,000$0$0$Yes800,000$800,000$-------40,000$40,000$-------NoNo-------
Tobias BjörnfotBROOKLYN GRINDERS (BRK)D252001-04-06SWENo204 Lbs6 ft1NoNoN/ANoNo12026-06-13FalseFalsePro & Farm40,000$40,000$4,000$4,000$No---------------------------
Trenten Bennett (sur la masse salariale)BROOKLYN GRINDERS (BRK)G192007-06-01CANYes180 Lbs6 ft0NoNoAssign ManuallyNoNo32026-06-23FalseFalsePro & Farm600,000$600,000$0$0$Yes600,000$600,000$-------40,000$40,000$-------NoNo-------
Tyler ThorpeBROOKLYN GRINDERS (BRK)RW212005-08-11CANYes216 Lbs6 ft7NoNoAssign ManuallyNoNo22025-07-20FalseFalsePro & Farm600,000$600,000$60,000$60,000$No600,000$--------40,000$--------No--------
Will Horcoff (sur la masse salariale)BROOKLYN GRINDERS (BRK)C/LW192007-01-23CANYes201 Lbs6 ft3NoNoAssign ManuallyNoNo32026-06-15FalseFalsePro & Farm1,000,000$1,000,000$0$0$Yes1,000,000$1,000,000$-------40,000$40,000$-------NoNo-------
Will SmithBROOKLYN GRINDERS (BRK)C/LW/RW212005-03-17USAYes179 Lbs6 ft2NoNoTrade2025-01-22NoNo12024-07-02FalseFalsePro & Farm900,000$900,000$90,000$90,000$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3523.63198 Lbs6 ft22.00785,857$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kirill MarchenkoRidly GreigEvgeny Svechnikov40122
2Igor ChernyshovWill SmithNathan Bastian30122
3Kirill MarchenkoMarco KasperBrad Lambert20122
4Ridly GreigBrayden YagerBeckett Sennecke10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitry KulikovDavid Jiříček40122
2Jeremy LauzonIan Cole30122
3Corson CeulemansMirco Mueller20122
4Tobias BjörnfotDmitry Kulikov10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kirill MarchenkoRidly GreigEvgeny Svechnikov60122
2Igor ChernyshovWill SmithNathan Bastian40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitry KulikovDavid Jiříček60122
2Jeremy LauzonIan Cole40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kirill MarchenkoRidly Greig60122
2Evgeny SvechnikovNathan Bastian40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitry KulikovDavid Jiříček60122
2Jeremy LauzonIan Cole40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kirill Marchenko60122Dmitry KulikovDavid Jiříček60122
2Ridly Greig40122Jeremy LauzonIan Cole40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kirill MarchenkoRidly Greig60122
2Evgeny SvechnikovNathan Bastian40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitry KulikovDavid Jiříček60122
2Jeremy LauzonIan Cole40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kirill MarchenkoRidly GreigEvgeny SvechnikovDmitry KulikovDavid Jiříček
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kirill MarchenkoRidly GreigEvgeny SvechnikovDmitry KulikovDavid Jiříček
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Charlie Stramel, Felix Nilsson, Marco KasperCharlie Stramel, Felix NilssonMarco Kasper
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Corson Ceulemans, Mirco Mueller, Tobias BjörnfotCorson CeulemansMirco Mueller, Tobias Björnfot
Tirs de pénalité
Kirill Marchenko, Ridly Greig, Evgeny Svechnikov, Nathan Bastian, Will Smith
Gardien
#1 : Calvin Pickard, #2 : Jakub Málek
Lignes d’attaque personnalisées en prolongation
Kirill Marchenko, Ridly Greig, Evgeny Svechnikov, Nathan Bastian, Will Smith, Marco Kasper, Brad Lambert, Brayden Yager, Charlie Stramel, Felix Nilsson
Lignes de défense personnalisées en prolongation
Dmitry Kulikov, David Jiříček, Jeremy Lauzon, Ian Cole, Corson Ceulemans


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
13HALIFAX HELL-BROOKLYN GRINDERS-
318BROOKLYN GRINDERS-MANHATTAN SWEDES-
426SYRACUSE BABY BULLS-BROOKLYN GRINDERS-
745LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
955BROOKLYN GRINDERS-HAWAII PUNCH-
1169MANHATTAN SWEDES-BROOKLYN GRINDERS-
1383BROOKLYN GRINDERS-SYRACUSE BABY BULLS-
1487BROOKLYN GRINDERS-CAPE FEAR WILDCATS-
1598BROOKLYN GRINDERS-CAPE BRETON LEPRECHAUNS-
17107CAPE FEAR WILDCATS-BROOKLYN GRINDERS-
19122CAPE BRETON LEPRECHAUNS-BROOKLYN GRINDERS-
22134HALIFAX HELL-BROOKLYN GRINDERS-
24149BROOKLYN GRINDERS-SAN JOSE AVACADOES-
25153BROOKLYN GRINDERS-COLORADO CUBS-
26165LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
27172BROOKLYN GRINDERS-HALIFAX HELL-
29187SYRACUSE BABY BULLS-BROOKLYN GRINDERS-
32200VANCOUVER THOUSANDAIRES-BROOKLYN GRINDERS-
34208BROOKLYN GRINDERS-CAPE BRETON LEPRECHAUNS-
36221LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
37231BROOKLYN GRINDERS-CAPE FEAR WILDCATS-
39243SYRACUSE BABY BULLS-BROOKLYN GRINDERS-
40252BROOKLYN GRINDERS-CAPE BRETON LEPRECHAUNS-
42266PINCHER CREEK WOLVERINES-BROOKLYN GRINDERS-
44277BROOKLYN GRINDERS-COLORADO CUBS-
45287CAPE FEAR WILDCATS-BROOKLYN GRINDERS-
47301BROOKLYN GRINDERS-LAS CRUCES MESCALEROS-
49310CALGARY WRANGLERS-BROOKLYN GRINDERS-
51323BROOKLYN GRINDERS-CAPE FEAR WILDCATS-
52332MANHATTAN SWEDES-BROOKLYN GRINDERS-
54343BROOKLYN GRINDERS-MANHATTAN SWEDES-
56355CHICAGO UNDERTAKERS-BROOKLYN GRINDERS-
58367BROOKLYN GRINDERS-COLORADO CUBS-
60375PINCHER CREEK WOLVERINES-BROOKLYN GRINDERS-
62390BROOKLYN GRINDERS-HALIFAX HELL-
64399VANCOUVER THOUSANDAIRES-BROOKLYN GRINDERS-
65407BROOKLYN GRINDERS-VANCOUVER THOUSANDAIRES-
66421NEWTON NIGHTHAWKS-BROOKLYN GRINDERS-
67425BROOKLYN GRINDERS-BANGOR PUPPIES-
71444EDMONTON OILERS-BROOKLYN GRINDERS-
73459BROOKLYN GRINDERS-MANHATTAN SWEDES-
74465CAPE FEAR WILDCATS-BROOKLYN GRINDERS-
76477BROOKLYN GRINDERS-COQUITLAM EXPRESS-
77486COQUITLAM EXPRESS-BROOKLYN GRINDERS-
79498BROOKLYN GRINDERS-COQUITLAM EXPRESS-
81508COLORADO CUBS-BROOKLYN GRINDERS-
83522BROOKLYN GRINDERS-PHILADELPHIA PHANTOMS-
84530PHILADELPHIA PHANTOMS-BROOKLYN GRINDERS-
86544BROOKLYN GRINDERS-PENSACOLA BLACK BEARS-
88553PENSACOLA BLACK BEARS-BROOKLYN GRINDERS-
89563BROOKLYN GRINDERS-CHICAGO UNDERTAKERS-
91576HALIFAX HELL-BROOKLYN GRINDERS-
93586BROOKLYN GRINDERS-HALIFAX HELL-
95597PENSACOLA BLACK BEARS-BROOKLYN GRINDERS-
96609BROOKLYN GRINDERS-EDMONTON OILERS-
98620PHILADELPHIA PHANTOMS-BROOKLYN GRINDERS-
100636BROOKLYN GRINDERS-NEWTON NIGHTHAWKS-
101641HAWAII PUNCH-BROOKLYN GRINDERS-
103654BROOKLYN GRINDERS-CHICAGO UNDERTAKERS-
105664DETROIT STEELERS-BROOKLYN GRINDERS-
107681BROOKLYN GRINDERS-EDMONTON OILERS-
108684HALIFAX HELL-BROOKLYN GRINDERS-
110700BROOKLYN GRINDERS-PINCHER CREEK WOLVERINES-
111708DETROIT STEELERS-BROOKLYN GRINDERS-
112714BROOKLYN GRINDERS-CALGARY WRANGLERS-
115729HAWAII PUNCH-BROOKLYN GRINDERS-
117743BROOKLYN GRINDERS-SAN JOSE AVACADOES-
118750BROOKLYN GRINDERS-BANGOR PUPPIES-
119760CAPE BRETON LEPRECHAUNS-BROOKLYN GRINDERS-
121772BROOKLYN GRINDERS-HAWAII PUNCH-
123781MANHATTAN SWEDES-BROOKLYN GRINDERS-
124792BROOKLYN GRINDERS-NORTH VAN ROCKERS-
126804COQUITLAM EXPRESS-BROOKLYN GRINDERS-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
128816SAN JOSE AVACADOES-BROOKLYN GRINDERS-
129825BROOKLYN GRINDERS-SYRACUSE BABY BULLS-
133841BANGOR PUPPIES-BROOKLYN GRINDERS-
135855BROOKLYN GRINDERS-CALGARY WRANGLERS-
137863CAPE BRETON LEPRECHAUNS-BROOKLYN GRINDERS-
138873BROOKLYN GRINDERS-NEWTON NIGHTHAWKS-
141883NORTH VAN ROCKERS-BROOKLYN GRINDERS-
143892BROOKLYN GRINDERS-SYRACUSE BABY BULLS-
144900BROOKLYN GRINDERS-HAWAII PUNCH-
146909NORTH VAN ROCKERS-BROOKLYN GRINDERS-
148922BROOKLYN GRINDERS-DETROIT STEELERS-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
42 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,750,500$ 2,750,500$ 1,450,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,350,500$ 0$ 28 5

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 149 28,191$ 4,200,459$




BROOKLYN GRINDERS Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

BROOKLYN GRINDERS Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

BROOKLYN GRINDERS Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

BROOKLYN GRINDERS Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

BROOKLYN GRINDERS Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA