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Oceanics
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Stéphane Gagné | Morale : 50 | Moyenne d’équipe : 61

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralStéphane Gagné
DivisionAtlantique
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 50
Espoirs12


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique58-23-4 (0.682%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)15 - 9 (0.625%)
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
1Logan CooleyX100.00684381797078707756727266765350050690192950,000$
2Walker DuehrX100.007142817183776969406463646859500506502500$
3Will Lockwood (R)X100.00704575736872696444605964666053050630251800,000$
4Karson KuhlmanX100.006042806866757465425959586462540506202831,000,000$
5Nic PetanXXX100.00544366685670686552655957645952050610282900,000$
6Glenn GawdinXX100.00554764656469686562646154645550050610261900,000$
7Jeffrey VielX100.00626651666769676544615959645550050610261900,000$
8Adam Klapka (R)XX100.006956576175636364446160646251500506102300$
9Felix Robert (R)XX100.005643687156656363606158606452500506002400$
10Gabriel Fortier (R)X100.0058427268606564625959575662525005059N02300$
11Curtis Douglas (R)X100.007066515677656461585853585752500505802300$
12Reid Schaefer (R)X100.00664265616959586141595660595050050580202886,667$
13Parker WotherspoonX100.006563657373786666406457726556500506602600$
14Philip Broberg (R)X100.00654278707471666740655871655350050660221863,333$
15John Ludvig (R)X100.007062597179736366406161686651500506502300$
16Emil Lilleberg (R)X100.00674373707777636640636068655150050650222870,000$
17Keaton MiddletonX100.007065526076696763405656685954500506302500$
18Max LajoieX100.00604767696366656440635768635450050630251800,000$
Rayé
1Tristen Nielsen (R)X100.005746636662646364486259566352500506002300$
2Jamieson Rees (R)X100.005546666759636259485853535951500505702200$
3Marshall Rifai (R)X100.006451586665666562406054676053500506202500$
4Montana Onyebuchi (R)X100.006664526471646259405353655952500506002300$
5Lian Bichsel (R)X100.00664263607056545840555563585050050590192918,333$
6Tyson Hinds (R)X100.00604265636363626040565660595050050590202829,444$
7Gianni Fairbrother (R)X100.00505250545749484939474751505050050510231848,333$
MOYENNE D’ÉQUIPE100.0063506566686764634560586262535005061
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
1Eric Comrie100.0082797777787574737579757972050700282920,000$
2Oscar Dansk100.00716767656766676565696662560506102900$
Rayé
1Colten Ellis (R)100.0067585663636365646462545150050580221850,833$
2Samuel Hlavaj (R)100.0055555555555555555555555555050510222875,000$
MOYENNE D’ÉQUIPE100.006965646566656564656663625805060
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 Plafond 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 KlapkaOceanics (Win)C/RW232000-09-14CZEYes230 Lbs6 ft7NoNoFree AgentNoNo02024-09-06FalseFalsePro & Farm0$0$No---------------------------Lien
Colten EllisOceanics (Win)G222000-10-05CANYes188 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm850,833$0$0$No---------------------------Lien
Curtis DouglasOceanics (Win)C232000-03-06CANYes242 Lbs6 ft9NoNoFree AgentNoNo02024-09-06FalseFalsePro & Farm0$0$No---------------------------Lien
Emil LillebergOceanics (Win)D222001-02-02NORYes202 Lbs6 ft2NoNoProspectNoNo22024-07-08FalseFalsePro & Farm870,000$0$0$No870,000$--------870,000$--------No--------Lien
Eric Comrie (contrat à 1 volet)Oceanics (Win)G281995-07-06CANNo190 Lbs6 ft1NoNoFree AgentYesNo22024-09-06FalseFalsePro & Farm920,000$0$0$No920,000$--------920,000$--------No--------Lien
Felix RobertOceanics (Win)C/LW241999-07-24CANYes175 Lbs5 ft9NoNoFree AgentYesNo02024-09-06FalseFalsePro & Farm0$0$No---------------------------Lien
Gabriel FortierOceanics (Win)LW232000-02-06CANYes181 Lbs5 ft11YesNoFree AgentNoNo02024-10-02FalseFalsePro & Farm0$0$No---------------------------Lien
Gianni FairbrotherOceanics (Win)D232000-09-30CANYes204 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm848,333$0$0$No---------------------------Lien
Glenn GawdinOceanics (Win)C/RW261997-03-25CANNo201 Lbs6 ft1NoNoN/AYesNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Jamieson ReesOceanics (Win)C222001-02-26CANYes172 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Jeffrey VielOceanics (Win)LW261997-01-28CANNo205 Lbs6 ft2NoNoN/AYesNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
John LudvigOceanics (Win)D232000-08-02CZEYes213 Lbs6 ft1NoNoTrade2024-09-13NoNo02024-09-11FalseFalsePro & Farm0$0$No---------------------------Lien
Karson Kuhlman (contrat à 1 volet)Oceanics (Win)RW281995-09-26USANo185 Lbs5 ft11NoNoN/AYesNo3FalseFalsePro & Farm1,000,000$80,000$80,000$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Keaton Middleton (contrat à 1 volet)Oceanics (Win)D251998-02-10CANNo240 Lbs6 ft6NoNoN/AYesNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Lian BichselOceanics (Win)D192004-05-18SUIYes225 Lbs6 ft6NoNoProspectNoNo22024-06-25FalseFalsePro & Farm918,333$0$0$No918,333$--------918,333$--------No--------Lien
Logan CooleyOceanics (Win)C192004-05-04USANo174 Lbs5 ft10NoNoProspectNoNo22024-06-25FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Marshall Rifai (contrat à 1 volet)Oceanics (Win)D251998-03-16CANYes200 Lbs6 ft2NoNoN/AYesNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Max LajoieOceanics (Win)D251997-11-05CANNo191 Lbs6 ft1NoNoFree AgentYesNo12024-09-06FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Montana OnyebuchiOceanics (Win)D232000-03-08CANYes220 Lbs6 ft3NoNoFree AgentNoNo02024-09-06FalseFalsePro & Farm0$0$No---------------------------Lien
Nic Petan (contrat à 1 volet)Oceanics (Win)C/LW/RW281995-03-22CANNo174 Lbs5 ft9NoNoN/AYesNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Oscar Dansk (contrat à 1 volet)Oceanics (Win)G291994-02-28SWENo200 Lbs6 ft3NoNoN/AYesNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Parker WotherspoonOceanics (Win)D261997-08-24CANNo195 Lbs6 ft1NoNoN/AYesNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Philip BrobergOceanics (Win)D222001-06-25SWEYes203 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm863,333$0$0$No---------------------------Lien
Reid SchaeferOceanics (Win)LW202003-09-21CANYes220 Lbs6 ft4NoNoProspectNoNo22024-06-25FalseFalsePro & Farm886,667$0$0$No886,667$--------886,667$--------No--------Lien
Samuel HlavajOceanics (Win)G222001-05-29SLOYes218 Lbs6 ft3NoNoProspectNoNo22024-06-25FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien
Tristen Nielsen (contrat à 1 volet)Oceanics (Win)C232000-02-23CANYes185 Lbs5 ft10NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Tyson HindsOceanics (Win)D202003-03-12CANYes192 Lbs6 ft3NoNoProspectNoNo22024-06-25FalseFalsePro & Farm829,444$0$0$No829,444$--------829,444$--------No--------Lien
Walker Duehr (contrat à 1 volet)Oceanics (Win)RW251997-11-23USANo210 Lbs6 ft2NoNoN/AYesNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Will LockwoodOceanics (Win)RW251998-06-20USAYes178 Lbs6 ft0NoNoFree AgentYesNo12024-09-06FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2923.76200 Lbs6 ft20.90486,619$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nic PetanLogan CooleyGlenn Gawdin40113
2Jeffrey VielCurtis DouglasWalker Duehr30113
3Gabriel FortierAdam KlapkaWill Lockwood20122
4Reid SchaeferFelix RobertKarson Kuhlman10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker WotherspoonPhilip Broberg40122
2John LudvigEmil Lilleberg30122
3Keaton MiddletonMax Lajoie20122
4Parker WotherspoonPhilip Broberg10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nic PetanLogan CooleyGlenn Gawdin60005
2Jeffrey VielAdam KlapkaWalker Duehr40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker WotherspoonPhilip Broberg60014
2John LudvigEmil Lilleberg40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Felix RobertGabriel Fortier60050
2Nic PetanWalker Duehr40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip BrobergParker Wotherspoon60140
2Emil LillebergJohn Ludvig40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Klapka60050Philip BrobergParker Wotherspoon60050
2Walker Duehr40050John LudvigKeaton Middleton40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Curtis DouglasNic Petan60023
2Glenn GawdinWalker Duehr40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker WotherspoonPhilip Broberg60122
2Emil LillebergJohn Ludvig40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeffrey VielLogan CooleyNic PetanPhilip BrobergParker Wotherspoon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Felix RobertWalker DuehrNic PetanPhilip BrobergParker Wotherspoon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Logan Cooley, Walker Duehr, Nic PetanLogan Cooley, Walker DuehrCurtis Douglas
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Philip Broberg, Parker Wotherspoon, John LudvigPhilip BrobergPhilip Broberg, Parker Wotherspoon
Tirs de pénalité
Logan Cooley, Walker Duehr, Jeffrey Viel, John Ludvig, Nic Petan
Gardien
#1 : Eric Comrie, #2 : Oscar Dansk


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 billets4520
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
3 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,129,193$ 1,129,193$ 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$




Oceanics 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
1Nic Petan82707314356721238837718.57%35175621.4214264056011610454.38%61.6302
2Glenn Gawdin824667113601111098827516.73%28156019.037152230000111457.61%31.4500
3Walker Duehr82554810336201227329818.46%33145217.71413171710124345.40%21.4226
4Jeffrey Viel82394887291311356218521.08%22129615.81710171800013152.31%01.3424
5Philip Broberg808536144591021481634.91%134218627.338101822000410100.00%00.5600

Oceanics 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
1Eric Comrie82571710.8753.61457617127521931068810.89519
2Oscar Dansk151600.8115.16372003216988111.0004

Oceanics 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
2024825023030514083109841251201021210164464125110203019814652117408658106621971401631028248279631018392364812140518342507028.00%2448365.98%2976184252.99%878167752.36%803147954.29%173195116737461549783
Total Saison régulière825023030514083109841251201021210164464125110203019814652117408658106621971401631028248279631018392364812140518342507028.00%2448365.98%2976184252.99%878167752.36%803147954.29%173195116737461549783
Séries éliminatoires
20242415900000105103212102000006143181257000004460-163010517327810244038385625832625616729260316546682029.41%531669.81%128654452.57%25951949.90%20742348.94%515290489229464224
Total Séries éliminatoires2415900000105103212102000006143181257000004460-163010517327810244038385625832625616729260316546682029.41%531669.81%128654452.57%25951949.90%20742348.94%515290489229464224

Oceanics 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
1Logan Cooley24262652-97325212420.97%1050421.04611171800005149.80%32.0600
2Nic Petan24161935-101239218917.98%1153022.1184121700013146.67%11.3200
3Glenn Gawdin24112031-71632196915.94%1549520.662791110111254.55%01.2500
4Walker Duehr2411112221040368812.50%1141417.29202700031033.33%11.0600
5Jeffrey Viel2410112132631197014.29%1039616.53112500002039.13%11.0600

Oceanics 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
1Eric Comrie2415810.8644.07137200936823072100
2Oscar Dansk40000.8045.689500946210000