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Connexion

Pens
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Lukas | Morale : 99 | Moyenne d’équipe : N/A
Prochains matchs #3 vs Rams

Pens
0-0-0, 0pts
Jour 1
Rams
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%
Pens
0-0-0, 0pts
Jour 3
Wolf Pack
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%
Titans
0-0-0, 0pts
Jour 4
Pens
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 généralLukas
EntraîneurGreg Cronin
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineMatvei Gridin
Assistant #1Samuel Honzek
Assistant #2Donovan Sebrango


Informations de l’aréna

Capacité8,500
Assistance
Billets de saison850


Informations de la formation

Équipe Pro37
Équipe Mineure20
Limite contact 57 / 65
Espoirs28


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
1Kailer YamamotoXX100.00675093826778877461687268655863096002711,600,000$
2Jakub LaukoX100.00766087737377707061666777655666099002511,350,000$
3Kevin LabancXX100.0068509281707770746171666765606309600302890,000$
4Jeff MalottXX100.0083568669827587706166667365606409900291970,000$
5Max JonesXX100.0081569174827588716165697165586709600273890,000$
6Jansen HarkinsX100.00805689727576837069666672656568099002811,350,000$
7Ivan IvanX100.00605089667275946564656565654358099002311,100,000$
8Brian HalonenXX100.00655890707875916861686969656462099002611,417,500$
9Samuel Honzek (A)XXX100.00755094757279757162666878654257099012111,500,000$
10Cole OHaraX100.0066509470727891636164637165485709900231750,000$
11Dans LocmelisXX100.0060606060607070606060606060505909900212825,000$
12Matvei Gridin (C)XX100.00625095867082927661757067714457099001921,500,000$
13Jack AndersonX100.0060606060607070606060606060496209900231680,000$
14Christoffer SedoffX100.0060606060607070606060606060546109900231800,000$
15Mike ReillyX100.0064508980738182732569657265586409600322890,000$
16Donovan Sebrango (A)X100.00746079768482827225696574655563099002311,074,938$
17Josh MahuraX100.00715089737382777025656776656471099002731,710,000$
18David SpacekX100.0060509373677789642566616965435809900222800,000$
Rayé
1Nikita SusuyevXX100.0060606060607070606060606060506109900203800,000$
2Matyas MelovskyXXX100.0060606060607070606060606060486009900212850,000$
3Adam BeckmanXX100.0060606060607070606060606060596509900241955,041$
4Fabian LysellXX100.00606060606070706060606060604962099002211,575,000$
5Jack BeckXX100.0060606060607070606060606060476009900222800,000$
6Viljami MarjalaXXX100.0060606060607070606060606060476009900222800,000$
7Gavin HayesXX100.00606060606070706060606060604760099002121,023,750$
8Jesse KiiskinenX100.0060606060607070606060606060505909900202975,000$
9Gabe SmithX100.0060606060607070606060606060525909900192825,000$
10Luke ProkopX100.00606060606070706060606060606163099002321,074,938$
11Atro LeppanenX100.0060606060607070606060606060465909900271900,000$
12Tomas HamaraX100.00606060606070706060606060604760099002121,023,750$
13Matt BasgallX100.0060606060607070606060606060465909900232800,000$
14Anton JohannessonX100.0060606060607070606060606060465909601231890,000$
15Matthew AndonovskiX100.0060606060607070606060606060465909901201750,000$
MOYENNE D’ÉQUIPE100.006557746766747665566363656252610990
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
1Pheonix Copley100.006070706060606060606060808309900331770,000$
2Aleksei Kolosov100.0062727176836366636361715843099002321,023,750$
Rayé
1Calvin Petersen100.006070706060606060606060677209900311850,000$
2Ty Young100.006070706060606060606060506209900212800,000$
MOYENNE D’ÉQUIPE100.00617170646661626161606364650990
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Greg Cronin6565656573751USA632600,000$


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
Adam BeckmanPens (PIT)LW/RW242001-05-10CANNo182 Lbs6 ft2NoNoN/ANoNo12026-08-03FalseFalsePro & Farm955,041$955,041$95,504$95,504$No---------------------------
Aleksei KolosovPens (PIT)G232002-01-04BLRNo185 Lbs6 ft1NoNoN/ANoNo22026-08-03FalseFalsePro & Farm1,023,750$1,023,750$102,375$102,375$No1,023,750$--------1,023,750$--------No--------
Anton JohannessonPens (PIT)D232002-03-26SWENo154 Lbs5 ft9NoNoAssign ManuallyNoNo12026-09-28FalseFalsePro & Farm890,000$890,000$89,000$89,000$No---------------------------
Atro LeppanenPens (PIT)D271998-12-14FINNo183 Lbs6 ft0NoNoAssign ManuallyNoNo12025-11-06FalseFalsePro & Farm900,000$900,000$90,000$90,000$No---------------------------
Brian HalonenPens (PIT)LW/RW261999-01-11USANo207 Lbs6 ft0NoNoAssign ManuallyNoNo12026-08-03FalseFalsePro & Farm1,417,500$1,417,500$141,750$141,750$No---------------------------
Calvin PetersenPens (PIT)G311994-10-19USANo185 Lbs6 ft2NoNoAssign ManuallyNoNo12025-11-06FalseFalsePro & Farm850,000$850,000$85,000$85,000$No---------------------------
Christoffer SedoffPens (PIT)D232002-02-20FINNo196 Lbs6 ft1NoNoTrade2025-10-20NoNo12026-08-03FalseFalsePro & Farm800,000$800,000$80,000$80,000$No---------------------------
Cole OHaraPens (PIT)RW232002-06-20CANNo189 Lbs6 ft0NoNoProspectNoNo12025-08-30FalseFalsePro & Farm750,000$750,000$75,000$75,000$No---------------------------
Dans LocmelisPens (PIT)C/LW212004-01-21LATNo179 Lbs5 ft11NoNoProspectNoNo22025-08-30FalseFalsePro & Farm825,000$825,000$82,500$82,500$No825,000$--------825,000$--------No--------
David SpacekPens (PIT)D222003-02-18CZENo174 Lbs6 ft0NoNoN/ANoNo22026-08-03FalseFalsePro & Farm800,000$800,000$80,000$80,000$No800,000$--------800,000$--------No--------
Donovan SebrangoPens (PIT)D232002-01-12CANNo223 Lbs6 ft2NoNoN/ANoNo12025-09-13FalseFalsePro & Farm1,074,938$1,074,938$107,494$107,494$No---------------------------
Fabian LysellPens (PIT)LW/RW222003-01-19SWENo181 Lbs5 ft11NoNoN/ANoNo12025-09-13FalseFalsePro & Farm1,575,000$1,575,000$157,500$157,500$No---------------------------
Gabe SmithPens (PIT)C192006-08-03CANNo207 Lbs6 ft3NoNoDraftNoNo22025-08-30FalseFalsePro & Farm825,000$825,000$82,500$82,500$No825,000$--------825,000$--------No--------
Gavin HayesPens (PIT)LW/RW212004-05-14USANo176 Lbs6 ft1NoNoN/ANoNo22026-08-03FalseFalsePro & Farm1,023,750$1,023,750$102,375$102,375$No1,023,750$--------1,023,750$--------No--------
Ivan IvanPens (PIT)C232002-08-20CZENo190 Lbs6 ft0NoNoN/ANoNo12025-09-13FalseFalsePro & Farm1,100,000$1,100,000$110,000$110,000$No---------------------------
Jack AndersonPens (PIT)D232002-11-14USANo225 Lbs6 ft4NoNoAssign ManuallyNoNo12026-03-21FalseFalsePro & Farm680,000$680,000$68,000$68,000$No---------------------------
Jack BeckPens (PIT)LW/RW222003-04-12CANNo161 Lbs5 ft11NoNoN/ANoNo22026-08-03FalseFalsePro & Farm800,000$800,000$80,000$80,000$No800,000$--------800,000$--------No--------
Jakub LaukoPens (PIT)C252000-03-28CZENo193 Lbs6 ft1NoNoN/ANoNo12026-08-03FalseFalsePro & Farm1,350,000$1,350,000$135,000$135,000$No---------------------------
Jansen Harkins (contrat à 1 volet)Pens (PIT)C281997-05-23USANo197 Lbs6 ft1NoNoAssign ManuallyNoNo12025-10-25FalseFalsePro & Farm1,350,000$1,350,000$1,350,000$1,350,000$No---------------------------
Jeff MalottPens (PIT)LW/RW291996-08-07CANNo215 Lbs6 ft5NoNoAssign ManuallyNoNo12025-10-28FalseFalsePro & Farm970,000$970,000$97,000$97,000$No---------------------------
Jesse KiiskinenPens (PIT)RW202005-08-23FINNo190 Lbs5 ft11NoNoProspectNoNo22025-08-30FalseFalsePro & Farm975,000$975,000$97,500$97,500$No975,000$--------975,000$--------No--------
Josh MahuraPens (PIT)D271998-05-05CANNo193 Lbs6 ft0NoNoAssign Manually2026-03-04NoNo32026-09-23FalseFalsePro & Farm1,710,000$1,710,000$171,000$171,000$No1,710,000$1,710,000$-------1,710,000$1,710,000$-------NoNo-------
Kailer YamamotoPens (PIT)LW/RW271998-09-29USANo178 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-31FalseFalsePro & Farm1,600,000$1,600,000$160,000$160,000$No---------------------------
Kevin LabancPens (PIT)LW/RW301995-12-12USANo185 Lbs5 ft11NoNoAssign ManuallyNoNo22026-09-28FalseFalsePro & Farm890,000$890,000$89,000$89,000$No890,000$--------890,000$--------No--------
Luke ProkopPens (PIT)D232002-05-06CANNo218 Lbs6 ft4NoNoTrade2025-10-20NoNo22026-08-03FalseFalsePro & Farm1,074,938$1,074,938$107,494$107,494$No1,074,938$--------1,074,938$--------No--------
Matt BasgallPens (PIT)D232002-08-16USANo190 Lbs5 ft10NoNoFree AgentNoNo22026-08-03FalseFalsePro & Farm800,000$800,000$65,000$65,000$No800,000$--------650,000$--------No--------
Matthew AndonovskiPens (PIT)D202005-03-14CANNo201 Lbs6 ft2NoNoProspectNoNo12024-08-30FalseFalsePro & Farm750,000$750,000$75,000$75,000$No---------------------------
Matvei GridinPens (PIT)LW/RW192006-03-01RUSNo182 Lbs6 ft1NoNoDraftNoNo22025-08-30FalseFalsePro & Farm1,500,000$1,500,000$150,000$150,000$No1,500,000$--------1,500,000$--------No--------
Matyas MelovskyPens (PIT)C/LW/RW212004-05-25CZENo190 Lbs5 ft11NoNoAssign ManuallyNoNo22026-07-15FalseFalsePro & Farm850,000$850,000$85,000$85,000$No850,000$--------850,000$--------No--------
Max JonesPens (PIT)LW/RW271998-02-17USANo216 Lbs6 ft3NoNoAssign Manually2025-05-21NoNo32026-09-28FalseFalsePro & Farm890,000$890,000$89,000$89,000$No890,000$890,000$-------890,000$890,000$-------NoNo-------
Mike ReillyPens (PIT)D321993-07-13USANo191 Lbs6 ft2NoNoAssign ManuallyNoNo22026-09-29FalseFalsePro & Farm890,000$890,000$89,000$89,000$No890,000$--------890,000$--------No--------
Nikita SusuyevPens (PIT)LW/RW202005-02-06RUSNo192 Lbs5 ft10NoNoAssign ManuallyNoNo32026-07-15FalseFalsePro & Farm800,000$800,000$80,000$80,000$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Pheonix CopleyPens (PIT)G331992-01-18USANo200 Lbs6 ft4NoNoAssign ManuallyNoNo12025-11-06FalseFalsePro & Farm770,000$770,000$77,000$77,000$No---------------------------
Samuel HonzekPens (PIT)C/LW/RW212004-11-12SVKNo186 Lbs6 ft4NoNoProspectNoNo12024-08-30FalseFalsePro & Farm1,500,000$1,500,000$150,000$150,000$No---------------------------
Tomas HamaraPens (PIT)D212004-03-09CZENo192 Lbs6 ft0NoNoN/ANoNo22026-08-03FalseFalsePro & Farm1,023,750$1,023,750$102,375$102,375$No1,023,750$--------1,023,750$--------No--------
Ty YoungPens (PIT)G212004-09-11CANNo183 Lbs6 ft3NoNoN/ANoNo22026-08-03FalseFalsePro & Farm800,000$800,000$80,000$80,000$No800,000$--------800,000$--------No--------
Viljami MarjalaPens (PIT)C/LW/RW222003-01-29FINNo176 Lbs6 ft1NoNoN/ANoNo22026-08-03FalseFalsePro & Farm800,000$800,000$80,000$80,000$No800,000$--------800,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3723.92191 Lbs6 ft11.591,015,775$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matvei GridinIvan IvanBrian Halonen36023
2Kevin LabancJakub LaukoKailer Yamamoto35023
3Samuel HonzekJansen HarkinsMax Jones24023
4Cole OHaraDans LocmelisJeff Malott5032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MahuraDavid Spacek40032
2Donovan SebrangoMike Reilly40032
3Christoffer SedoffJack Anderson20041
4Josh MahuraDavid Spacek0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matvei GridinIvan IvanBrian Halonen50005
2Kevin LabancJakub LaukoSamuel Honzek50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1David SpacekJosh Mahura50014
2Donovan SebrangoMike Reilly50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jakub LaukoSamuel Honzek50041
2Jansen HarkinsMax Jones50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MahuraDavid Spacek50050
2Donovan SebrangoMike Reilly50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jakub Lauko50050David SpacekJosh Mahura50050
2Jansen Harkins50050Donovan SebrangoMike Reilly50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ivan IvanMatvei Gridin50023
2Jansen HarkinsSamuel Honzek50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1David SpacekJosh Mahura50032
2Donovan SebrangoMike Reilly50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brian HalonenIvan IvanMatvei GridinDonovan SebrangoJosh Mahura
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jansen HarkinsJakub LaukoSamuel HonzekDonovan SebrangoJosh Mahura
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matvei Gridin, Samuel Honzek, Brian HalonenSamuel Honzek, Matvei GridinJakub Lauko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Donovan Sebrango, Josh Mahura, David SpacekDonovan SebrangoDonovan Sebrango, Josh Mahura
Tirs de pénalité
Matvei Gridin, Samuel Honzek, Kevin Labanc, Jeff Malott, Ivan Ivan
Gardien
#1 : Aleksei Kolosov, #2 : Pheonix Copley


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
13Pens-Rams-
321Pens-Wolf Pack-
430Titans-Pens-
650Pens-Titans-
862Rams-Pens-
1080Pens-Blossom Bytes-
1190Pens-Gulls-
1296Titans-Pens-
15123Admirals-Pens-
18144Pens-Bears-
20156Bears-Pens-
22174Pens-Admirals-
25190Admirals-Pens-
26195Pens-Grisards-
28210Pens-Titans-
30221Pens-Blossom Bytes-
31226Americans-Pens-
34253Pens-Wolves-
35256Whalers-Pens-
38283Pens-Whalers-
39287Titans-Pens-
42310Pens-Gulls-
43320Wolf Pack-Pens-
47349Gulls-Pens-
50366Pens-Phantoms-
52383Grisards-Pens-
55403Pens-Bills-
57414Wolves-Pens-
59436Pens-Whalers-
61446Silver Knights-Pens-
63466Pens-Rams-
65479Reign-Pens-
67496Pens-Crunch-
69510Pens-Gulls-
70514Bears-Pens-
73542Americans-Pens-
75552Pens-Norsemen-
78572Bulldogs-Pens-
80592Pens-Titans-
82605White Wolves-Pens-
84618Pens-Bears-
86631Pens-Wolves-
87639Phantoms-Pens-
90664Pens-Blossom Bytes-
91672Admirals-Pens-
94692Pens-Moose-
96704Moose-Pens-
98723Pens-Moose-
100736Sens-Pens-
102749Pens-Griffins-
104767Gulls-Pens-
107788Pens-Mountaineers-
108800Norsemen-Pens-
112829Wolf Pack-Pens-
116858Rocket-Pens-
118869Pens-Americans-
120888Bears-Pens-
122898Pens-Admirals-
125921Redhawks-Pens-
126930Pens-Sens-
128939Pens-Rams-
130956Rams-Pens-
132975Pens-Grisards-
134987Rams-Pens-
1361001Pens-Wolf Pack-
1381018Roadrunners-Pens-
1401034Pens-Wolf Pack-
1421050Phantoms-Pens-
1441065Pens-Sens-
1471084Gorillas-Pens-
1481092Pens-Norsemen-
1501110Pens-Saints-
1521120Octopus-Pens-
1561148Blossom Bytes-Pens-
1581156Pens-Blood Miners-
1621183Titans-Pens-
1671211Eagles-Pens-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1711234Blossom Bytes-Pens-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité35005000
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
39 0 - 0%0$0$8500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,623,367$ 3,608,367$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
24,186$ 0$ 36 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 174 24,272$ 4,223,328$




Pens 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

Pens 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

Pens 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

Pens 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

Pens 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