Connexion

Oceanics
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Stéphane Gagné | Morale : 50 | Moyenne d’équipe : 60
Prochains matchs #23 vs Wolf Pack
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Wolf Pack
0-0-0, 0pts
2022-10-14
Oceanics
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Oceanics
0-0-0, 0pts
2022-10-17
Stars
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Oceanics
0-0-0, 0pts
2022-10-19
Monsters
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
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 Pro22
Équipe Mineure18
Limite contact 40 / 50
Espoirs9


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
1Sam LaffertyXXX100.00897983767466716057625984255959050650261767,500$
2Kevin LabancX100.007843908167656475256266677566660506502523,400,000$
3Cedric PaquetteXX100.008970718274536861525855815371760506402821,200,000$
4Ryan DzingelXX100.006794707872666364585970712566660506302953,000,000$
5Frederik GauthierXX100.008547997088596553755055782564640506102631,200,000$
6Karson KuhlmanX100.00814495716762615925635873255657050610261775,000$
7Maxim MaminXXX100.00805889787762545825647161254747050610261900,000$
8Dmitrij JaskinXX100.00994889707968427147585566254545050600281600,000$
9Nic PetanXX100.00614092796256646844605565256060050600261693,000$
10Glenn GawdinX100.00707167647170726480646062574444050600241700,000$
11William LockwoodX100.00999380676559685725505565254545050570232750,000$
12Jeffrey VielX100.00909925677552585435565963254848050570221600,000$
13Patrik NemethX100.008346867183708355254748832567690506802941,900,000$
14Jacob MiddletonX100.008399667782767060255148852559590506802531,700,000$
15Dylan CoghlanX100.00764490737265706725524872255555050630234600,000$
16Philip Broberg (R)X100.00634289837462576325484872254646050620204863,333$
17Max LajoieX100.00797294657268725425524164394445050590232750,000$
Rayé
1Jamieson Rees (R)X100.00696383646361635468554859464444050540203853,333$
2Gianni Fairbrother (R)X100.00647051617043424925424055384444050510214848,333$
MOYENNE D’ÉQUIPE100.0079647972736264604055557033545505061
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
1Collin Delia100.00524658805555505655543046460505502721,000,000$
2Alexei Melnichuk (R)100.0045496175424450524546304444050500231925,000$
Rayé
1Colten Ellis (R)100.0044405071454445494545454444050470204850,833$
MOYENNE D’ÉQUIPE100.004745567547484852484835454505051
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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alexei MelnichukOceanics (Win)G231998-06-28Yes190 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$92,500$92,500$NoLien
Cedric PaquetteOceanics (Win)C/LW281993-08-12No204 Lbs6 ft0NoNoNo2Pro & Farm1,200,000$1,200,000$120,000$120,000$No1,200,000$Lien
Collin DeliaOceanics (Win)G271994-06-19No208 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$1,000,000$100,000$100,000$No1,000,000$Lien
Colten EllisOceanics (Win)G202000-10-05Yes187 Lbs6 ft1NoNoNo4Pro & Farm850,833$850,833$85,083$85,083$No850,833$850,833$850,833$Lien
Dmitrij JaskinOceanics (Win)LW/RW281993-03-23No216 Lbs6 ft2NoNoNo1Pro & Farm600,000$600,000$60,000$60,000$NoLien
Dylan CoghlanOceanics (Win)D231998-02-19No190 Lbs6 ft2NoNoNo4Pro & Farm600,000$600,000$60,000$60,000$No600,000$600,000$600,000$Lien
Frederik GauthierOceanics (Win)C/RW261995-04-26No239 Lbs6 ft5NoNoNo3Pro & Farm1,200,000$1,200,000$120,000$120,000$No1,200,000$1,200,000$Lien
Gianni FairbrotherOceanics (Win)D212000-09-30Yes190 Lbs6 ft0NoNoNo4Pro & Farm848,333$848,333$84,833$84,833$No848,333$848,333$848,333$Lien
Glenn GawdinOceanics (Win)C241997-03-25No191 Lbs6 ft1NoNoNo1Pro & Farm700,000$700,000$70,000$70,000$NoLien
Jacob MiddletonOceanics (Win)D251996-01-02No210 Lbs6 ft3NoNoNo3Pro & Farm1,700,000$1,700,000$170,000$170,000$No1,700,000$1,700,000$Lien
Jamieson ReesOceanics (Win)C202001-02-26Yes172 Lbs5 ft11NoNoNo3Pro & Farm853,333$853,333$85,333$85,333$No853,333$853,333$Lien
Jeffrey VielOceanics (Win)LW221999-01-28No197 Lbs6 ft0NoNoNo1Pro & Farm600,000$600,000$60,000$60,000$NoLien
Karson KuhlmanOceanics (Win)RW261995-09-26No185 Lbs5 ft11NoNoNo1Pro & Farm775,000$775,000$77,500$77,500$NoLien
Kevin LabancOceanics (Win)RW251995-12-12No185 Lbs5 ft11NoNoNo2Pro & Farm3,400,000$3,400,000$340,000$340,000$No3,400,000$Lien
Max LajoieOceanics (Win)D231997-11-05No196 Lbs6 ft1NoNoNo2Pro & Farm750,000$750,000$75,000$75,000$No750,000$Lien
Maxim MaminOceanics (Win)C/LW/RW261995-01-13No206 Lbs6 ft2NoNoNo1Pro & Farm900,000$900,000$90,000$90,000$NoLien
Nic PetanOceanics (Win)LW/RW261995-03-22No175 Lbs5 ft9NoNoNo1Pro & Farm693,000$693,000$69,300$69,300$NoLien
Patrik NemethOceanics (Win)D291992-02-08No228 Lbs6 ft3NoNoNo4Pro & Farm1,900,000$1,900,000$190,000$190,000$No1,900,000$1,900,000$1,900,000$Lien
Philip BrobergOceanics (Win)D202001-06-25Yes199 Lbs6 ft3NoNoNo4Pro & Farm863,333$863,333$86,333$86,333$No863,333$863,333$863,333$Lien
Ryan DzingelOceanics (Win)LW/RW291992-03-09No190 Lbs6 ft0NoNoNo5Pro & Farm3,000,000$3,000,000$300,000$300,000$No3,000,000$3,000,000$3,000,000$3,000,000$Lien
Sam LaffertyOceanics (Win)C/LW/RW261995-03-06No195 Lbs6 ft1NoNoNo1Pro & Farm767,500$767,500$76,750$76,750$NoLien
William LockwoodOceanics (Win)RW231998-06-20No172 Lbs5 ft11NoNoNo2Pro & Farm750,000$750,000$75,000$75,000$No750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2224.55197 Lbs6 ft12.361,130,742$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cedric PaquetteSam LaffertyRyan Dzingel40014
2Dmitrij JaskinMaxim MaminKevin Labanc30014
3Nic PetanGlenn GawdinFrederik Gauthier20023
4Karson Kuhlman10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Patrik NemethJacob Middleton40032
2Dylan CoghlanPhilip Broberg30032
3Max Lajoie20032
4Patrik NemethJacob Middleton10023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cedric PaquetteSam LaffertyRyan Dzingel60005
2Dmitrij JaskinMaxim MaminKevin Labanc40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Patrik NemethJacob Middleton60014
2Philip BrobergDylan Coghlan40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam LaffertyCedric Paquette60050
2Frederik GauthierKarson Kuhlman40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Patrik NemethJacob Middleton60050
2Philip BrobergDylan Coghlan40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Lafferty60050Jacob MiddletonPatrik Nemeth60050
2Frederik Gauthier40050Philip BrobergDylan Coghlan40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam LaffertyRyan Dzingel60014
2Maxim MaminCedric Paquette40014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Patrik NemethJacob Middleton60023
2Philip BrobergDylan Coghlan40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cedric PaquetteSam LaffertyRyan DzingelJacob MiddletonPatrik Nemeth
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cedric PaquetteSam LaffertyFrederik GauthierJacob MiddletonPatrik Nemeth
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sam Lafferty, Ryan Dzingel, Cedric PaquetteSam Lafferty, Kevin LabancSam Lafferty
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Patrik Nemeth, Jacob Middleton, Philip BrobergDylan CoghlanPatrik Nemeth, Jacob Middleton
Tirs de pénalité
Sam Lafferty, Ryan Dzingel, Kevin Labanc, Nic Petan, Cedric Paquette
Gardien
#1 : Collin Delia, #2 : Alexei Melnichuk


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%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 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
8 - 2022-10-1423Wolf Pack-Oceanics-
11 - 2022-10-1746Oceanics-Stars-
13 - 2022-10-1957Oceanics-Monsters-
14 - 2022-10-2070Oceanics-Las Vegas-
16 - 2022-10-2278Marlies-Oceanics-
18 - 2022-10-2495Chiefs-Oceanics-
21 - 2022-10-27120Oceanics-Monarchs-
22 - 2022-10-28126Oceanics-Jayhawks-
24 - 2022-10-30143Oceanics-Las Vegas-
28 - 2022-11-03165Rocket-Oceanics-
30 - 2022-11-05177Baby Hawks-Oceanics-
33 - 2022-11-08204Stars-Oceanics-
37 - 2022-11-12236Oceanics-Heat-
38 - 2022-11-13243Oceanics-Seattle-
42 - 2022-11-17266Admirals-Oceanics-
44 - 2022-11-19276Manchots-Oceanics-
46 - 2022-11-21294Caroline-Oceanics-
48 - 2022-11-23303Oceanics-Minnesota-
50 - 2022-11-25330Oceanics-Stars-
52 - 2022-11-27342Oceanics-Baby Hawks-
54 - 2022-11-29357Monsters-Oceanics-
57 - 2022-12-02378Monsters-Oceanics-
59 - 2022-12-04392Admirals-Oceanics-
61 - 2022-12-06408Cabaret Lady Mary Ann-Oceanics-
63 - 2022-12-08422Oceanics-Chiefs-
64 - 2022-12-09428Oceanics-Baby Hawks-
66 - 2022-12-11446Bears-Oceanics-
68 - 2022-12-13462Las Vegas-Oceanics-
70 - 2022-12-15477Chill-Oceanics-
72 - 2022-12-17495Oceanics-Comets-
73 - 2022-12-18500Oceanics-Seattle-
75 - 2022-12-20514Senators-Oceanics-
77 - 2022-12-22529Oceanics-Bruins-
78 - 2022-12-23537Oceanics-Bears-
82 - 2022-12-27552Minnesota-Oceanics-
84 - 2022-12-29570Comets-Oceanics-
86 - 2022-12-31588Oceanics-Oil Kings-
89 - 2023-01-03603Heat-Oceanics-
92 - 2023-01-06624Thunder-Oceanics-
94 - 2023-01-08638Comets-Oceanics-
96 - 2023-01-10654Oceanics-Cougars-
98 - 2023-01-12668Oceanics-Crunch-
99 - 2023-01-13674Oceanics-Manchots-
101 - 2023-01-15693Jayhawks-Oceanics-
103 - 2023-01-17708Oceanics-Rocket-
105 - 2023-01-19723Oceanics-Marlies-
107 - 2023-01-21738Oceanics-Senators-
108 - 2023-01-22749Oceanics-Phantoms-
110 - 2023-01-24762Oceanics-Chill-
112 - 2023-01-26774Crunch-Oceanics-
114 - 2023-01-28790Phantoms-Oceanics-
116 - 2023-01-30801Chiefs-Oceanics-
128 - 2023-02-11844Baby Hawks-Oceanics-
131 - 2023-02-14860Seattle-Oceanics-
133 - 2023-02-16872Oceanics-Monsters-
136 - 2023-02-19900Oceanics-Spiders-
137 - 2023-02-20907Oceanics-Wolf Pack-
139 - 2023-02-22917Oceanics-Sound Tigers-
141 - 2023-02-24935Monsters-Oceanics-
143 - 2023-02-26949Sound Tigers-Oceanics-
145 - 2023-02-28961Monarchs-Oceanics-
148 - 2023-03-03985Oceanics-Oil Kings-
149 - 2023-03-04995Oil Kings-Oceanics-
151 - 2023-03-061006Sharks-Oceanics-
153 - 2023-03-081022Minnesota-Oceanics-
156 - 2023-03-111047Oceanics-Cabaret Lady Mary Ann-
157 - 2023-03-121057Oceanics-Thunder-
159 - 2023-03-141068Oceanics-Caroline-
161 - 2023-03-161084Bruins-Oceanics-
163 - 2023-03-181097Oceanics-Chill-
164 - 2023-03-191111Oceanics-Chiefs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2023-03-211128Jayhawks-Oceanics-
168 - 2023-03-231146Oceanics-Admirals-
170 - 2023-03-251153Oceanics-Monarchs-
173 - 2023-03-281185Oceanics-Sharks-
176 - 2023-03-311201Cougars-Oceanics-
178 - 2023-04-021222Spiders-Oceanics-
181 - 2023-04-051240Heat-Oceanics-
184 - 2023-04-081261Chill-Oceanics-
186 - 2023-04-101275Sharks-Oceanics-
187 - 2023-04-111291Oceanics-Minnesota-
189 - 2023-04-131309Oceanics-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,487,632$ 2,487,632$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
13,093$ 0$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 190 13,093$ 2,487,670$




Oceanics Leaders statistiques (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

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

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

Oceanics Leaders statistiques (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

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