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Admirals
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: | Morale : 50 | Moyenne d’équipe : 70

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

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


Informations de l’aréna

Capacité5,000
Assistance
Billets de saison5,000


Informations de la formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 55
Espoirs47


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
1Alexander Holtz0XX100.00675199729952716264766971466365050770223831,575$
2Adam Beckman0XX100.00555075728465707558686750456566050740233750,000$
3Jake Wise0XXX100.00555075668066706667686162456567050710243750,000$
4Martin Chromiak0X100.00555075658081836862686250456365050710213750,000$
5Aleksanteri Kaskimaki (R)0X100.00555075668074766869686050456163050700203925,000$
6Judd Caulfield0X100.00555175608079816060686055456466050690231837,500$
7Nathan Gaucher0X100.00747075608066706062686056456264050690202918,333$
8Paul Ludwinski (R)0X100.00555075608076786062686050456163050680203925,000$
9Dino Kambeitz0X100.00646075608061706053686054456567050680241925,000$
10Coulson Pitre (R)0X100.00555075608072736058686050456163050680193925,000$
11Artem Zub0X100.0069509970987770683075657645727105080028110,000,000$
12Jordan Harris0X100.005848996793476757307162704366670507102341,330,000$
13Kevin Korchinski0X100.00534899669263675730716166436266050700202918,333$
14Montana Onyebuchi0X100.00797475608075776030686051456567050700241925,000$
15Declan Carlile0X100.00666275608065706030686060456567050700243750,000$
16Cole Clayton0X100.00575375608074766030686053456567050680241925,000$
17Stanislav Svozil0X100.00585475608074766030686050456264050680212825,000$
Rayé
1Brennan Saulnier0X100.007671715776556757606557484372740506503018,000,000$
2Roman Schmidt (R)0X100.00777275608058706030686050456264050680213925,000$
3Ashton Sautner0X100.005754756080747660306860504571730506703018,000,000$
4Marek Alscher (R)0X100.00625875608062706030686050456163050670203925,000$
5Jack Matier0X100.00544973597857685930665949446264050650212801,667$
6Nate Clurman0X100.00565371577655675730655755436769050650261750,000$
MOYENNE D’ÉQUIPE100.0061567962826672614569615545646605070
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
1Zach Sawchenko0100.0074676171767574727067636881050730261971,250$
Rayé
MOYENNE D’ÉQUIPE100.007467617176757472706763688105073
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
Adam BeckmanAdmirals (NSH)LW/RW232001-05-10CANNo182 Lbs6 ft2NoNoN/ANoNo32025-09-27FalseFalseFarm Only750,000$750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Aleksanteri KaskimakiAdmirals (NSH)C202004-02-06FINYes193 Lbs6 ft0NoNoProspectNoNo32025-09-27FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Alexander HoltzAdmirals (NSH)LW/RW222002-01-23SWENo198 Lbs6 ft0NoNoN/ANoNo32025-09-27FalseFalseFarm Only831,575$831,575$0$0$No831,575$831,575$-------831,575$831,575$-------NoNo-------Lien / Lien NHL
Artem Zub (contrat à 1 volet)Admirals (NSH)D281995-10-03RUSNo200 Lbs6 ft3NoNoFree AgentNoYes12025-10-26FalseFalsePro & Farm10,000,000$6,666,667$8,875,000$5,916,667$No---------------------------Lien / Lien NHL
Ashton Sautner (contrat à 1 volet)Admirals (NSH)D301994-05-27CANNo192 Lbs6 ft1NoNoFree AgentNoYes12025-10-26FalseFalsePro & Farm8,000,000$5,333,333$6,875,000$4,583,333$No---------------------------Lien / Lien NHL
Brennan Saulnier (contrat à 1 volet)Admirals (NSH)LW301993-12-29CANNo170 Lbs6 ft0NoNoFree AgentNoYes12025-10-26FalseFalsePro & Farm8,000,000$5,333,333$6,875,000$4,583,333$No---------------------------Lien / Lien NHL
Cole ClaytonAdmirals (NSH)D242000-02-29CANNo198 Lbs6 ft2NoNoN/ANoNo12025-09-27FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Lien / Lien NHL
Coulson PitreAdmirals (NSH)RW192004-12-13CANYes185 Lbs6 ft1NoNoDraftNoNo32025-09-27FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Declan CarlileAdmirals (NSH)D242000-05-18USANo192 Lbs6 ft3NoNoN/ANoNo32025-09-27FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Dino KambeitzAdmirals (NSH)RW242000-01-25USANo212 Lbs6 ft2NoNoN/ANoNo12025-09-27FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Lien / Lien NHL
Jack MatierAdmirals (NSH)D212003-04-08CANNo209 Lbs6 ft5NoNoProspectNoNo22025-09-27FalseFalsePro & Farm801,667$801,667$0$0$No801,667$--------801,667$--------No--------Lien / Lien NHL
Jake WiseAdmirals (NSH)C/LW/RW242000-02-28USANo190 Lbs5 ft10NoNoProspectNoNo32025-09-27FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Jordan Harris (contrat à 1 volet)Admirals (NSH)D232000-07-07USANo187 Lbs5 ft11NoNoFree AgentNoYes42025-09-27FalseFalsePro & Farm1,330,000$886,667$205,000$136,667$No1,330,000$1,330,000$1,330,000$------1,330,000$1,330,000$1,330,000$------NoNoNo------Lien / Lien NHL
Judd CaulfieldAdmirals (NSH)RW232001-03-19USANo220 Lbs6 ft3NoNoProspectNoNo12025-09-27FalseFalsePro & Farm837,500$837,500$0$0$No---------------------------Lien / Lien NHL
Kevin KorchinskiAdmirals (NSH)D202004-06-21CANNo185 Lbs6 ft1NoNoProspectNoNo22025-09-27FalseFalsePro & Farm918,333$918,333$0$0$No918,333$--------918,333$--------No--------Lien / Lien NHL
Marek AlscherAdmirals (NSH)D202004-04-07CZEYes196 Lbs6 ft3NoNoProspectNoNo32025-09-27FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Martin ChromiakAdmirals (NSH)RW212002-08-20SVKNo190 Lbs6 ft0NoNoN/ANoNo32025-09-27FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Montana OnyebuchiAdmirals (NSH)D242000-03-08CANNo220 Lbs6 ft3NoNoN/ANoNo12025-09-27FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Lien / Lien NHL
Nate ClurmanAdmirals (NSH)D261998-05-08USANo205 Lbs6 ft2NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien / Lien NHL
Nathan GaucherAdmirals (NSH)C202003-11-06CANNo222 Lbs6 ft3NoNoProspectNoNo22025-09-27FalseFalsePro & Farm918,333$918,333$0$0$No918,333$--------918,333$--------No--------Lien / Lien NHL
Paul LudwinskiAdmirals (NSH)C202004-04-23CANYes185 Lbs6 ft0NoNoProspectNoNo32025-09-27FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Roman SchmidtAdmirals (NSH)D212003-02-27USAYes218 Lbs6 ft5NoNoProspectNoNo32025-09-27FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Stanislav SvozilAdmirals (NSH)D212003-01-17CZENo192 Lbs6 ft0NoNoProspectNoNo22025-09-27FalseFalsePro & Farm825,000$825,000$0$0$No825,000$--------825,000$--------No--------Lien / Lien NHL
Zach SawchenkoAdmirals (NSH)G261997-12-30CANNo187 Lbs6 ft1NoNoN/ANoNo12025-09-27FalseFalsePro & Farm971,250$971,250$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2423.08197 Lbs6 ft22.131,857,652$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam BeckmanAlexander Holtz30122
2Martin ChromiakNathan Gaucher30122
325122
4Adam Beckman15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Declan Carlile35122
325122
4Declan Carlile0131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam BeckmanAlexander Holtz50005
2Martin ChromiakNathan Gaucher50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150005
2Declan Carlile50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam Beckman50050
2Nathan GaucherMartin Chromiak50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150050
2Declan Carlile50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15005050050
2Nathan Gaucher50050Declan Carlile50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Adam Beckman50122
2Nathan GaucherMartin Chromiak50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
2Declan Carlile50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam BeckmanAlexander HoltzDeclan Carlile
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam BeckmanAlexander HoltzDeclan Carlile
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Nathan Gaucher, , Nathan Gaucher
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
Alexander Holtz, , Adam Beckman, ,
Gardien
#1 : , #2 : Zach Sawchenko
Lignes d’attaque personnalisées en prolongation
Alexander Holtz, , Adam Beckman, , , Nathan Gaucher, , , Martin Chromiak, Judd Caulfield
Lignes de défense personnalisées en prolongation
, , Declan Carlile, ,


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
0000000000000
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
Capacité35001500
Prix des billets5025
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$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 0$ 0$ 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$




Admirals 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

Admirals 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

Admirals 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

Admirals 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

Admirals 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