Admirals
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: | Morale : 50 | Moyenne d'Équipe : 62
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Statistiques d'Équipe


Directeur général
Central Division
Western Conference
Jonas Rondbjerg




Capacité de l'Aréna5,000
Assistance
5,000




26
18
44 / 55
Éspoirs39


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 Moyen
1Rasmus Asplund0XX100.00685198708453555942697058656565050730253866,250$
2Alexander Holtz (R)0XX100.00685494718145555940677155656565050710212925,000$
3Jonas Rondbjerg (R) (A)0X100.00685296708044555640676955636363050700243962,000$
4Brendan Perlini0X100.00533981576658454736596644562540050620271750,000$
5Brian Pinho0XX100.00524483575958454665626545552540050620281775,000$
6Adam Beckman (R)0X100.00526484545480934136586442532540050610222925,000$
7Alex Turcotte (R)0X100.00534482555958454365606449532540050610222925,000$
8Aarne Talvitie (R)0X100.00526484525280933865576340512540050600241925,000$
9Beck Malenstyn (R)0XX100.00526383515276883765566437502540050590253800,625$
10Martin Chromiak (R)0X100.00525884545465754136586438532540050590202820,000$
11Dino Kambeitz (R)0X100.00535782525362723865576441512540050580231925,000$
12Declan Carlile (R)0X100.00593573636358455436686675602540050720232925,000$
13Adam Wilsby (R)0X100.00526683525285983836586339502540050600221842,500$
14Michael Kesselring (R)0X100.00545881535465754036586443522540050600232925,000$
15Aaron Ness0X100.00535882535365753936586343512540050590331750,000$
16Andy Welinski0X100.00525083545558534136606340522540050590301750,000$
17Jonathan Aspirot (R)0X100.00555479535458643936586440512540050580241925,000$
18Cole Clayton (R)0X100.00535882525365753836576336502540050580231925,000$
Rayé
1Austin Wagner0XX100.005458805254657538365664415125400505802621,090,000$
2Ozzy Wiesblatt (R)0X100.00535382535458613936576442512540050580212835,834$
3David Cotton (R)0X100.00525884525365753865566336512540050570253971,250$
4Filip Engaras (R)0X100.00524984515258503665556434502540050560241750,000$
5Montana Onyebuchi (R)0X100.00575376525358623736576336502540050570231925,000$
MOYENNE D'ÉQUIPE100.0055548356586266434559654454304305061
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 Moyen
1Tyler Parks100.0072655375756173717073722555050720311750,000$
2Antoine Bibeau100.0072655373756268727273722555050710291750,000$
Rayé
1Jon Gillies100.0071655372736071676572693057050690291750,000$
MOYENNE D'ÉQUIPE100.007265537374617170697371275605071
Nom du Coach 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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Aarne TalvitieAdmirals (NSH)C241999-02-11Yes200 Lbs5 ft11NoNoNo1Farm Only925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Aaron NessAdmirals (NSH)D331990-05-18No184 Lbs5 ft10NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Adam BeckmanAdmirals (NSH)LW222001-05-10Yes182 Lbs6 ft2NoNoNo2Farm Only925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Adam WilsbyAdmirals (NSH)D222000-08-07Yes192 Lbs6 ft1NoNoNo1Pro & Farm842,500$280,833$842,500$280,833$0$0$NoLien / Lien NHL
Alex TurcotteAdmirals (NSH)C222001-02-26Yes185 Lbs5 ft11NoNoNo2Pro & Farm925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Alexander HoltzAdmirals (NSH)LW/RW212002-01-23Yes195 Lbs6 ft0NoNoNo2Farm Only925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Andy WelinskiAdmirals (NSH)D301993-04-27No201 Lbs6 ft1NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Antoine BibeauAdmirals (NSH)G291994-05-01No217 Lbs6 ft3NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Austin WagnerAdmirals (NSH)LW/RW261997-06-23No195 Lbs6 ft1NoNoNo2Pro & Farm1,090,000$363,333$1,090,000$363,333$0$0$No1,090,000$Lien / Lien NHL
Beck MalenstynAdmirals (NSH)C/LW251998-02-04Yes200 Lbs6 ft3NoNoNo3Pro & Farm800,625$266,875$800,625$266,875$0$0$No800,625$800,625$Lien / Lien NHL
Brendan PerliniAdmirals (NSH)LW271996-04-27No211 Lbs6 ft3NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Brian PinhoAdmirals (NSH)C/RW281995-05-11No186 Lbs6 ft1NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Cole ClaytonAdmirals (NSH)D232000-02-29Yes209 Lbs6 ft2NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
David CottonAdmirals (NSH)C251997-07-09Yes200 Lbs6 ft2NoNoNo3Pro & Farm971,250$323,750$971,250$323,750$0$0$No971,250$971,250$Lien / Lien NHL
Declan CarlileAdmirals (NSH)D232000-05-18Yes192 Lbs6 ft2NoNoNo2Pro & Farm925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Dino KambeitzAdmirals (NSH)C232000-01-25Yes212 Lbs6 ft2NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Filip EngarasAdmirals (NSH)C241999-05-16Yes200 Lbs6 ft1NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Jon GilliesAdmirals (NSH)G291994-01-22No223 Lbs6 ft6NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Jonas RondbjergAdmirals (NSH)RW241999-03-31Yes203 Lbs6 ft2NoNoNo3Pro & Farm962,000$320,667$962,000$320,667$0$0$No962,000$962,000$Lien / Lien NHL
Jonathan AspirotAdmirals (NSH)D241999-05-16Yes200 Lbs6 ft0NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Martin ChromiakAdmirals (NSH)RW202002-08-20Yes190 Lbs6 ft0NoNoNo2Pro & Farm820,000$273,333$820,000$273,333$0$0$No820,000$Lien / Lien NHL
Michael KesselringAdmirals (NSH)D232000-01-13Yes190 Lbs6 ft4NoNoNo2Pro & Farm925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Montana OnyebuchiAdmirals (NSH)D232000-03-08Yes201 Lbs6 ft3NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Ozzy WiesblattAdmirals (NSH)RW212002-03-09Yes185 Lbs5 ft10NoNoNo2Pro & Farm835,834$278,611$835,834$278,611$0$0$No835,834$Lien / Lien NHL
Rasmus AsplundAdmirals (NSH)LW/RW251997-12-03No185 Lbs5 ft11NoNoNo3Pro & Farm866,250$288,750$866,250$288,750$0$0$No866,250$866,250$Lien / Lien NHL
Tyler ParksAdmirals (NSH)G311992-05-09No230 Lbs6 ft6NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2624.88199 Lbs6 ft11.62863,979$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alexander HoltzAarne TalvitieJonas Rondbjerg30122
2Adam BeckmanRasmus AsplundDino Kambeitz30122
3Beck MalenstynBrendan PerliniAlex Turcotte25122
4Alexander HoltzAarne TalvitieJonas Rondbjerg15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Aaron NessAdam Wilsby40122
2Jonathan AspirotAndy Welinski35122
3Cole ClaytonMichael Kesselring25122
4Jonathan AspirotMichael Kesselring0131
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alexander HoltzBeck MalenstynJonas Rondbjerg50005
2Adam BeckmanAarne TalvitieDino Kambeitz50005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam WilsbyMichael Kesselring50005
2Jonathan AspirotCole Clayton50005
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Alexander HoltzJonas Rondbjerg50050
2Adam BeckmanAarne Talvitie50050
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Cole ClaytonMichael Kesselring50050
2Jonathan AspirotAndy Welinski50050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Alexander Holtz50050Cole ClaytonAdam Wilsby50050
2Jonas Rondbjerg50050Jonathan AspirotMichael Kesselring50050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Alexander HoltzJonas Rondbjerg50122
2Beck MalenstynAdam Beckman50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam WilsbyMichael Kesselring50122
2Jonathan AspirotCole Clayton50122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alexander HoltzRasmus AsplundJonas RondbjergJonathan AspirotMichael Kesselring
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alexander HoltzRasmus AsplundJonas RondbjergJonathan AspirotMichael Kesselring
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alexander Holtz, Beck Malenstyn, Aarne TalvitieAlexander Holtz, Beck MalenstynAarne Talvitie
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cole Clayton, Adam Wilsby, Jonathan AspirotJonathan AspirotCole Clayton, Jonathan Aspirot
Tirs de Pénalité
Alexander Holtz, Jonas Rondbjerg, Aarne Talvitie, Beck Malenstyn, Adam Beckman
Gardien
#1 : Antoine Bibeau, #2 :
Lignes d'Attaque Perso. en Prol.
Alexander Holtz, Martin Chromiak, Rasmus Asplund, Brendan Perlini, Adam Beckman, Beck Malenstyn, Beck Malenstyn, Aarne Talvitie, Jonas Rondbjerg, Alex Turcotte, Dino Kambeitz
Lignes de Défense Perso. en Prol.
Adam Wilsby, Michael Kesselring, Jonathan Aspirot, Cole Clayton, Andy Welinski


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
LigueDomicileVisiteur
# 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 PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
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 Match 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
Capacité de l'Aréna35001500
Prix des Billets5025
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$5000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 22,463,460$ 22,463,460$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 14 0$ 0$




Admirals

# 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
1Rasmus Asplund118179114293-69611919852034.42%88252721.4222173966224118439.17%302.3214
2Lean Bergmann8288113201-3637210312327032.59%69157019.151119303900007345.28%72.5613
3Alexander Holtz2469794191-2132629639770413.78%183473219.24151227501231310151.13%40.8117
4Jonas Rondbjerg24648117165-180553222925378.94%142444418.07426304810111041.67%10.7434
5Alex Turcotte2462689115-2561002524876294.13%161433617.631231000041053.86%00.5313

Admirals

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Alex D'Orio81344070.8843.7848764130726441598620.90010
2Zachary Sawchenko83241950.7286.863830224381611852500.55020
3Tyler Parks70115540.8705.0242164035327201686700.81811
4Antoine Bibeau1211100.8545.427202065446261100.0000
5Michael McNiven5003410.40615.04116900293493152300.0000

Admirals

LigueDomicileVisiteur
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
202182215201422405725-32041112301222194337-14341102900200211388-17754405602100702014413112719310590603731205476516098742096028.71%1847559.24%4519107148.46%44596646.07%821177446.28%1745115319396151256618
202282274105621275318-4341201203411163149144172902210112169-57752754687432111175828269093881691630269697129816231554428.39%1503278.67%4796144655.05%795134958.93%621111055.95%1794111717776761375684
202382106600321201419-2184192900210112193-81411370011189226-137282013255260072695832600885869841153166116750314821292922.48%1043764.42%1674146945.88%659146744.92%551118646.46%163298219416721367677
Total Saison Régulière246581590613648811462-581123406404843469679-210123189502521412783-37115788113952276231832882711387221182322752360776791629032410397949313326.98%43814467.12%91989398649.90%1899378250.21%1993407048.97%517332535658196339991979

Admirals

# 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

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA