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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 : 60

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 Pro21
Équipe Mineure21
Limite contact 42 / 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$
6Roby Jarventie (R)X100.007469856469767964506065646244446650620231995,000$
7Tyler PitlickXX100.0089667978745068622550577025707263506203400$
8Samu TuomaalaX100.007065816665636462506160625744446250600231863,333$
9Clark BishopX100.0074737661738087556947576354495060505903000$
10Alex Suzdalev (R)X100.007972966572494661505662665944446350590223865,000$
11Samuel SavoieX100.007168786068727756705157615444446050580222846,666$
12Eetu LiukasX100.007977856377434057505356655344445950560232867,500$
13Josh Filmon (R)X100.006962865662555749504251584844445350520223913,333$
14Uvis BalinskisX100.007844838571697368255450762560616450680291850,000$
15Steven SantiniX100.007144947080546362254747722559605950630312775,000$
16Dakota MermisX100.006994727074615760253950772555555950620322812,000$
17Michael KarowX100.007975886275545553254448644644445750580271775,000$
18Corey SchuenemanX100.007973926373403756255443654147475650570301775,000$
19Aleksi HeimosalmiX100.006763775663636750254341573944445150550232805,833$
Rayé
MOYENNE D’ÉQUIPE100.00756886667165686043535566484849615060
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
MOYENNE D’ÉQUIPE100.0046465779565258555348304950525055
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
Clark BishopMoose (WPG)C301996-03-29CANNo200 Lbs6 ft0NoNoFree AgentNoNo02024-06-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
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
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
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
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
Roby JarventieMoose (WPG)RW232002-08-08FINYes184 Lbs6 ft2NoNoFree AgentNoNo12025-08-02FalseFalsePro & Farm995,000$995,000$0$0$No---------------------------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
Tyler PitlickMoose (WPG)C/RW341991-11-01USANo199 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Uvis BalinskisMoose (WPG)D291996-08-01LVANo196 Lbs6 ft0NoNoFree AgentNoNo12025-08-21FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2125.71192 Lbs6 ft11.48775,373$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Roby JarventieClark BishopTyler Pitlick40122
2Samuel SavoieAleksanteri KaskimakiSamu Tuomaala30122
3Eetu LiukasKonsta HeleniusJudd Caulfield20122
4Roby JarventieFelix Unger Sorum10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis BalinskisSteven Santini40122
2Corey SchuenemanDakota Mermis30122
3Michael KarowAleksi Heimosalmi20122
4Uvis BalinskisSteven Santini10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Roby JarventieClark BishopTyler Pitlick60122
2Samuel SavoieAleksanteri KaskimakiSamu Tuomaala40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis BalinskisSteven Santini60122
2Corey SchuenemanDakota Mermis40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Clark BishopRoby Jarventie60122
2Aleksanteri KaskimakiSamuel Savoie40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis BalinskisSteven Santini60122
2Corey SchuenemanDakota Mermis40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Clark Bishop60122Uvis BalinskisSteven Santini60122
2Aleksanteri Kaskimaki40122Corey SchuenemanDakota Mermis40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Clark BishopRoby Jarventie60122
2Aleksanteri KaskimakiSamuel Savoie40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis BalinskisSteven Santini60122
2Corey SchuenemanDakota Mermis40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Roby JarventieClark BishopTyler PitlickUvis BalinskisSteven Santini
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Roby JarventieClark BishopTyler PitlickUvis BalinskisSteven Santini
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Judd Caulfield, Roby Jarventie, Konsta HeleniusJudd Caulfield, Roby JarventieJudd Caulfield
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dakota Mermis, Michael Karow, Aleksi HeimosalmiDakota MermisDakota Mermis, Michael Karow
Tirs de pénalité
Tyler Pitlick, Clark Bishop, Aleksanteri Kaskimaki, Samu Tuomaala, Judd Caulfield
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
Tyler Pitlick, Clark Bishop, Aleksanteri Kaskimaki, Samu Tuomaala, Judd Caulfield, Roby Jarventie, Konsta Helenius, Samuel Savoie, Felix Unger Sorum, Eetu Liukas
Lignes de défense personnalisées en prolongation
Uvis Balinskis, Steven Santini, Corey Schueneman, Dakota Mermis, Michael Karow


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$ 1,628,283$ 1,628,283$ 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