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Moose
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Mika | Morale : 50 | Moyenne d’équipe : 59

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMika
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro24
Équipe Mineure21
Limite contact 45 / 51
Espoirs28


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique0-0-0
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)1 - 4 (0.200%)
Coupe Stanley0


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Konsta Helenius (R)XX100.007569886569828667506763656044446750640202975,000$
2Felix Unger Sorum (R)X100.007670906570838865506760655744446650640202831,667$
3Mikael PyyhtiaX100.007265886665767965506263666053536650630241925,000$
4Judd CaulfieldX100.008277946677818760505660675744446550630251837,500$
5Aleksanteri Kaskimaki (R)XX100.007871946571798462505862665944446550620222870,000$
6Ryan SuzukiX100.00767186647179836278635865554444645062N0252850,000$
7Roby Jarventie (R)X100.007469856469767964506065646244446650620241995,000$
8Samu TuomaalaX100.007065816665636462506160625744446250600231863,333$
9Alex Suzdalev (R)X100.007972966572494661505662665944446350590223865,000$
10Samuel SavoieX100.007168786068727756705157615444446050580222846,666$
11Josh Filmon (R)X100.006962865662555749504251584844445350520223913,333$
12Mason PrimeauX100.00657247807232304455384455424444485050N0251850,000$
13Steven SantiniX100.007144947080546362254747722559605950630312775,000$
14Dakota MermisX100.006994727074615760253950772555555950620322812,000$
15Juuso ValimakiX100.0081798666794541632555576754444463506002712,000,000$
16Reilly WalshX100.00747083667078855325494261404444565060N0272850,000$
17Marc Del GaizoX100.00726882616873785525464962474949575060N0263875,000$
18Michael KarowX100.007975886275545553254448644644445750580271775,000$
Rayé
1Eetu LiukasX100.007977856377434057505356655344445950560232867,500$
2Corey SchuenemanX100.007973926373403756255443654147475650570301775,000$
3Aleksi HeimosalmiX100.006763775663636750254341573944445150550232805,833$
MOYENNE D’ÉQUIPE100.00747084657164665843535464504646605060
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Joel Blomqvist100.00484050746054595656513044445350550241925,000$
2Pheonix Copley100.00445164845149565449453054555050550341775,000$
Rayé
1Georgi Romanov100.0042496185494850504642304444475051N0263875,000$
MOYENNE D’ÉQUIPE100.0045475881535055535046304748505054
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
Aleksanteri KaskimakiMoose (WPG)LW/RW222004-02-06FINYes195 Lbs6 ft0NoNoAssign ManuallyNoNo22025-08-27FalseFalsePro & Farm870,000$870,000$0$0$No870,000$--------870,000$--------No--------Lien / Lien NHL
Aleksi HeimosalmiMoose (WPG)D232003-05-08FINNo170 Lbs5 ft11NoNoProspectNoNo22025-08-27FalseFalsePro & Farm805,833$805,833$0$0$No805,833$--------805,833$--------No--------Lien / Lien NHL
Alex SuzdalevMoose (WPG)RW222004-03-05SWEYes190 Lbs6 ft2NoNoAssign ManuallyNoNo32026-06-14FalseFalsePro & Farm865,000$865,000$0$0$No865,000$865,000$-------865,000$865,000$-------NoNo-------Lien
Corey SchuenemanMoose (WPG)D301995-09-02USANo200 Lbs6 ft0NoNoFree AgentNoNo12025-08-21FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien / Lien NHL
Dakota MermisMoose (WPG)D321994-01-05USANo197 Lbs6 ft0NoNoFree AgentNoNo22025-08-21FalseFalsePro & Farm812,000$812,000$0$0$No812,000$--------812,000$--------No--------Lien / Lien NHL
Eetu LiukasMoose (WPG)RW232002-09-25FINNo205 Lbs6 ft3NoNoAssign ManuallyNoNo22025-08-27FalseFalsePro & Farm867,500$867,500$0$0$No867,500$--------867,500$--------No--------Lien
Felix Unger SorumMoose (WPG)RW202005-09-14NORYes190 Lbs6 ft0NoNoProspectNoNo22025-08-27FalseFalsePro & Farm831,667$831,667$0$0$No831,667$--------831,667$--------No--------Lien / Lien NHL
Georgi RomanovMoose (WPG)G261999-12-15RUSNo210 Lbs6 ft4YesNoFree AgentNoNo32026-08-08FalseFalsePro & Farm875,000$875,000$0$0$No875,000$875,000$-------875,000$875,000$-------YesYes-------Lien / Lien NHL
Joel BlomqvistMoose (WPG)G242002-01-10FINNo187 Lbs6 ft2NoNoAssign ManuallyNoNo12024-06-29FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Lien
Josh FilmonMoose (WPG)LW222004-03-18CANYes160 Lbs6 ft1NoNoAssign ManuallyNoNo32026-06-14FalseFalsePro & Farm913,333$913,333$0$0$No913,333$913,333$-------913,333$913,333$-------NoNo-------Lien / Lien NHL
Judd CaulfieldMoose (WPG)RW252001-03-19USANo207 Lbs6 ft3NoNoAssign ManuallyNoNo12024-06-29FalseFalsePro & Farm837,500$837,500$0$0$No---------------------------Lien / Lien NHL
Juuso ValimakiMoose (WPG)D271998-10-06FINNo215 Lbs6 ft2NoNoFree AgentNoNo12026-06-20FalseFalsePro & Farm2,000,000$2,000,000$0$0$No---------------------------Lien
Konsta HeleniusMoose (WPG)LW/RW202006-05-11FINYes190 Lbs5 ft11NoNoAssign ManuallyNoNo22025-08-27FalseFalsePro & Farm975,000$975,000$0$0$No975,000$--------975,000$--------No--------Lien / Lien NHL
Marc Del GaizoMoose (WPG)D261999-10-11USANo193 Lbs5 ft10YesNoFree AgentNoNo32026-08-08FalseFalsePro & Farm875,000$875,000$0$0$No875,000$875,000$-------875,000$875,000$-------YesYes-------Lien / Lien NHL
Mason PrimeauMoose (WPG)C252001-07-28ONTNo183 Lbs6 ft5YesNoFree AgentNoNo12026-08-08FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien
Michael KarowMoose (WPG)D271998-12-18USANo201 Lbs6 ft2NoNoTrade2025-02-01NoNo12024-07-07FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien
Mikael PyyhtiaMoose (WPG)RW242001-12-17FINNo178 Lbs6 ft0NoNoAssign ManuallyNoNo12024-06-29FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Lien / Lien NHL
Pheonix CopleyMoose (WPG)G341992-01-18USANo205 Lbs6 ft4NoNoFree Agent2024-07-16NoNo12025-08-19FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien / Lien NHL
Reilly WalshMoose (WPG)D271999-04-21USANo192 Lbs6 ft0YesNoFree AgentNoNo22026-08-08FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------Yes--------Lien / Lien NHL
Roby JarventieMoose (WPG)RW242002-08-08FINYes184 Lbs6 ft2NoNoFree AgentNoNo12025-08-02FalseFalsePro & Farm995,000$995,000$0$0$No---------------------------Lien / Lien NHL
Ryan SuzukiMoose (WPG)C252001-05-28CANNo190 Lbs6 ft1YesNoFree AgentNoNo22026-08-08FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------Yes--------Lien / Lien NHL
Samu TuomaalaMoose (WPG)RW232003-01-08FINNo180 Lbs5 ft10NoNoAssign ManuallyNoNo12024-06-29FalseFalsePro & Farm863,333$863,333$0$0$No---------------------------Lien / Lien NHL
Samuel SavoieMoose (WPG)C222004-03-25CANNo190 Lbs5 ft10NoNoProspectNoNo22025-08-27FalseFalsePro & Farm846,666$846,666$0$0$No846,666$--------846,666$--------No--------Lien / Lien NHL
Steven SantiniMoose (WPG)D311995-03-07USANo217 Lbs6 ft3NoNoFree AgentNoNo22025-08-21FalseFalsePro & Farm775,000$775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.17193 Lbs6 ft11.75905,535$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Konsta HeleniusRyan SuzukiFelix Unger Sorum40122
2Aleksanteri KaskimakiSamuel SavoieMikael Pyyhtia30122
3Josh FilmonMason PrimeauJudd Caulfield20122
4Konsta HeleniusRyan SuzukiRoby Jarventie10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Steven SantiniDakota Mermis40122
2Reilly WalshMarc Del Gaizo30122
3Juuso ValimakiMichael Karow20122
4Steven SantiniDakota Mermis10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Konsta HeleniusRyan SuzukiFelix Unger Sorum60122
2Aleksanteri KaskimakiSamuel SavoieMikael Pyyhtia40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Steven SantiniDakota Mermis60122
2Reilly WalshMarc Del Gaizo40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan SuzukiKonsta Helenius60122
2Samuel SavoieAleksanteri Kaskimaki40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Steven SantiniDakota Mermis60122
2Reilly WalshMarc Del Gaizo40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Suzuki60122Steven SantiniDakota Mermis60122
2Samuel Savoie40122Reilly WalshMarc Del Gaizo40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan SuzukiKonsta Helenius60122
2Samuel SavoieAleksanteri Kaskimaki40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Steven SantiniDakota Mermis60122
2Reilly WalshMarc Del Gaizo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Konsta HeleniusRyan SuzukiFelix Unger SorumSteven SantiniDakota Mermis
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Konsta HeleniusRyan SuzukiFelix Unger SorumSteven SantiniDakota Mermis
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Aleksanteri Kaskimaki, Roby Jarventie, Ryan SuzukiAleksanteri Kaskimaki, Roby JarventieAleksanteri Kaskimaki
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marc Del Gaizo, Juuso Valimaki, Michael KarowMarc Del GaizoMarc Del Gaizo, Juuso Valimaki
Tirs de pénalité
Konsta Helenius, Felix Unger Sorum, Mikael Pyyhtia, Judd Caulfield, Aleksanteri Kaskimaki
Gardien
#1 : Joel Blomqvist, #2 : Pheonix Copley
Lignes d’attaque personnalisées en prolongation
Konsta Helenius, Felix Unger Sorum, Mikael Pyyhtia, Judd Caulfield, Aleksanteri Kaskimaki, Roby Jarventie, Ryan Suzuki, Samu Tuomaala, Alex Suzdalev, Samuel Savoie
Lignes de défense personnalisées en prolongation
Steven Santini, Dakota Mermis, Reilly Walsh, Marc Del Gaizo, Juuso Valimaki


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets330
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,173,283$ 2,173,283$ 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$




Moose 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

Moose 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

Moose 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
Saison régulière
Total Saison régulière0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000
Séries éliminatoires
202551400000923-142110000055030300000418-1429152400324074322121011631878520315.00%381073.68%06010955.05%7312060.83%568665.12%10568127396632
Total Séries éliminatoires51400000923-142110000055030300000418-1429152400324074322121011631878520315.00%381073.68%06010955.05%7312060.83%568665.12%10568127396632

Moose 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
1Tyler Pitlick5134-1622714.29%06713.53011000000066.67%01.1800
2Clark Bishop5224023121118.18%010320.72011200011061.06%00.7700
3Aleksanteri Kaskimaki5303-445111030.00%09719.54202200000063.00%00.6100
4Dakota Mermis50222811220%410020.0100020000000%00.4000
5Roby Jarventie5202-12715450.00%19519.16101100000080.00%00.4200

Moose 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
1Chris Driedger51400.7795.7017900177700000