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Punishers
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Jean-Sebastien Larin | Morale : 1 | Moyenne d’équipe : 64
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJean-Sebastien Larin
EntraîneurClaude Noël
DivisionGunther-Sabetzki
ConférenceLouis-Magnus
CapitaineJake Evans
Assistant #1Brett Seney
Assistant #2Tanner Kero


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure19
Limite contact 47 / 250
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
1Corey TroppX100.007229727679747272726980666566582557710281995,000$
2Radek Faksa (R)X100.007145817774727574776975616960504354710232995,000$
3John Quenneville (R)X100.006928767469717068808275546647455644690212750,000$
4Carter AshtonX100.006943727371677270647268696956502957680261900,000$
5Phillip Danault (R)X100.006731766972717772716372657353503949670242650,000$
6Anton Blidh (R)X100.007733737769647569637070565547454446660221400,000$
7Austen Brassard (R)X100.007040706868657466706672606548463645660242600,000$
8Kevin Roy (R)X100.006627796273697165707177616148493654660241500,000$
9Oskar Lindblom (R)X100.007144787064706571736571556946445557660211500,000$
10Kole Lind (R)X100.005333715750656067718162465942426546610192500,000$
11Tanner Jeannot (R)X100.007942536374587164516356545843426554590201500,000$
12Nicolas Roy (R)X100.005140706562565865666257495843435345580201400,000$
13Artem Zub (R)X100.006654837574697676457061696358504646700221500,000$
14Ben Betker (R)X100.006429787275746863466861785858494136690231600,000$
15Noah Juulsen (R)X100.007039817169727371556566755651446148690203750,000$
16Fredrik ClaessonX100.006633737065726567486854755660583540670252500,000$
17Connor Clifton (R)X100.006435766261726856676459735347464544640222500,000$
18Niko Mikkola (R)X100.006941796760676357476848655846475141630211500,000$
Rayé
1Daniel Audette (R)X100.006943826370606169627259656845454925640212500,000$
2John Hayden (R)X100.006043806464706464686462495844444320610222500,000$
3Carson Meyer (R)X100.007144686072537659556866505545445319610202500,000$
4Alexander Nylander (R)X100.005438745966536068546656455241416520570191500,000$
5Ben Meyers (R)X100.006331696257625852555064545343415320560192500,000$
6Beck Malenstyn (R)X100.005427605161525753655174314841415819540191500,000$
7Brayden Pachal (R)X100.005130574557645152194333463640406237480181500,000$
MOYENNE D’ÉQUIPE100.00653773666766676561666459594946484164
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
1Louis Domingue100.00777271767075728371757262513655730251950,000$
2Daniel Altshuller100.00696674636177686864776549494257670231700,000$
Rayé
1Petr Kvaca (R)100.00456647645354587364675544435421580201500,000$
MOYENNE D’ÉQUIPE100.0064686468616966756673645248444466
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Claude Noël69656570415149Can571300,000$


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alexander NylanderPunishers (Bos)RW191998-01-01Yes192 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Anton BlidhPunishers (Bos)LW221995-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm400,000$0$0$NoLien
Artem ZubPunishers (Bos)D221995-01-01Yes198 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Austen BrassardPunishers (Bos)RW241993-01-01Yes188 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$
Beck MalenstynPunishers (Bos)LW191998-01-01Yes194 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Ben BetkerPunishers (Bos)D231994-01-01Yes185 Lbs6 ft6NoNoNo1Pro & Farm600,000$0$0$No
Ben MeyersPunishers (Bos)C191998-01-01Yes194 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Brayden PachalPunishers (Bos)D181999-01-01Yes204 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Carson MeyerPunishers (Bos)RW201997-01-01Yes184 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Carter AshtonPunishers (Bos)RW261991-01-01No215 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$No
Connor CliftonPunishers (Bos)D221995-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Corey TroppPunishers (Bos)RW281989-01-01No185 Lbs6 ft0NoNoNo1Pro & Farm995,000$0$0$No
Daniel AltshullerPunishers (Bos)G231994-01-01No191 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Daniel AudettePunishers (Bos)C211996-01-01Yes176 Lbs5 ft9NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Fredrik ClaessonPunishers (Bos)D251992-01-01No205 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
John HaydenPunishers (Bos)C221995-01-01Yes185 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
John QuennevillePunishers (Bos)C211996-01-01Yes195 Lbs5 ft11NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Kevin RoyPunishers (Bos)C241993-01-01Yes156 Lbs5 ft8NoNoNo1Pro & Farm500,000$0$0$NoLien
Kole LindPunishers (Bos)RW191998-01-01Yes178 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Louis DominguePunishers (Bos)G251992-01-01No210 Lbs6 ft3NoNoNo1Pro & Farm950,000$0$0$No
Nicolas RoyPunishers (Bos)C201997-01-01Yes200 Lbs6 ft4NoNoNo1Pro & Farm400,000$0$0$NoLien
Niko MikkolaPunishers (Bos)D211996-01-01Yes185 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$NoLien
Noah JuulsenPunishers (Bos)D201997-01-01Yes198 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No800,000$900,000$Lien
Oskar LindblomPunishers (Bos)LW211996-01-01Yes191 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Petr KvacaPunishers (Bos)G201997-01-01Yes169 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Phillip DanaultPunishers (Bos)LW241993-01-01Yes201 Lbs6 ft0NoNoNo2Pro & Farm650,000$0$0$No650,000$
Radek FaksaPunishers (Bos)C231994-01-01Yes200 Lbs6 ft2NoNoNo2Pro & Farm995,000$0$0$No1,000,000$Lien
Tanner JeannotPunishers (Bos)LW201997-01-01Yes214 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2821.82192 Lbs6 ft11.46596,071$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Oskar LindblomRadek FaksaCorey Tropp40023
2Phillip DanaultJohn QuennevilleKole Lind31023
3Anton BlidhKevin RoyCarter Ashton20122
4Tanner JeannotNicolas RoyAusten Brassard9122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artem ZubNoah Juulsen40122
2Ben BetkerFredrik Claesson30122
3Niko MikkolaConnor Clifton20122
4Artem ZubNoah Juulsen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Phillip DanaultRadek FaksaCorey Tropp60122
2Anton BlidhJohn QuennevilleKole Lind40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artem ZubNoah Juulsen60122
2Ben BetkerFredrik Claesson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Radek FaksaCorey Tropp60122
2John QuennevilleCarter Ashton40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artem ZubNoah Juulsen60122
2Ben BetkerFredrik Claesson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Radek Faksa60122Artem ZubNoah Juulsen60122
2Corey Tropp40122Ben BetkerFredrik Claesson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Radek FaksaCorey Tropp60122
2John QuennevilleKole Lind40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artem ZubNoah Juulsen60122
2Ben BetkerFredrik Claesson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Phillip DanaultRadek FaksaCorey TroppArtem ZubNoah Juulsen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Phillip DanaultRadek FaksaCorey TroppArtem ZubNoah Juulsen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kole Lind, Radek Faksa, Corey TroppKole Lind, Austen BrassardKevin Roy
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ben Betker, Noah Juulsen, Artem ZubNiko MikkolaConnor Clifton, Noah Juulsen
Tirs de pénalité
Radek Faksa, Corey Tropp, Kevin Roy, Carter Ashton, Phillip Danault
Gardien
#1 : Daniel Altshuller, #2 : Louis Domingue


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%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
000.00%000.00%000.00%
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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,669,000$ 1,499,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Punishers Leaders statistiques (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

Punishers 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

Punishers 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

Punishers Leaders statistiques (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

Punishers 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