Connexion

Oceanics
GP: 10 | W: 7 | L: 3
GF: 17 | GA: 11 | PP%: 6.06% | PK%: 83.87%
DG: Stéphane Gagné | Morale : 50 | Moyenne d’équipe : 61
Prochains matchs #73 vs Sound Tigers
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Centre de jeu
Oceanics
7-3-0, 14pts
0
FINAL
1 Sound Tigers
5-3-0, 10pts
Team Stats
W1SéquenceL1
3-2-0Fiche domicile3-1-0
4-1-0Fiche domicile2-2-0
7-2-1Derniers 10 matchs5-3-0
1.70Buts par match 1.50
1.10Buts contre par match 1.38
6.06%Pourcentage en avantage numérique10.71%
83.87%Pourcentage en désavantage numérique96.00%
Oceanics
7-3-0, 14pts
2
FINAL
0 Sound Tigers
5-3-0, 10pts
Team Stats
W1SéquenceL1
3-2-0Fiche domicile3-1-0
4-1-0Fiche domicile2-2-0
7-2-1Derniers 10 matchs5-3-0
1.70Buts par match 1.50
1.10Buts contre par match 1.38
6.06%Pourcentage en avantage numérique10.71%
83.87%Pourcentage en désavantage numérique96.00%
Sound Tigers
5-3-0, 10pts
2024-05-12
Oceanics
7-3-0, 14pts
Statistiques d’équipe
L1SéquenceW1
3-1-0Fiche domicile3-2-0
2-2-0Fiche visiteur4-1-0
5-3-010 derniers matchs7-2-1
1.50Buts par match 1.70
1.38Buts contre par match 1.70
10.71%Pourcentage en avantage numérique6.06%
96.00%Pourcentage en désavantage numérique83.87%
Oceanics
7-3-0, 14pts
2024-05-14
Sound Tigers
5-3-0, 10pts
Statistiques d’équipe
W1SéquenceL1
3-2-0Fiche domicile3-1-0
4-1-0Fiche visiteur2-2-0
7-2-110 derniers matchs5-3-0
1.70Buts par match 1.50
1.10Buts contre par match 1.50
6.06%Pourcentage en avantage numérique10.71%
83.87%Pourcentage en désavantage numérique96.00%
Sound Tigers
5-3-0, 10pts
2024-05-16
Oceanics
7-3-0, 14pts
Statistiques d’équipe
L1SéquenceW1
3-1-0Fiche domicile3-2-0
2-2-0Fiche visiteur4-1-0
5-3-010 derniers matchs7-2-1
1.50Buts par match 1.70
1.38Buts contre par match 1.70
10.71%Pourcentage en avantage numérique6.06%
96.00%Pourcentage en désavantage numérique83.87%
Meneurs d'équipe
Buts
William Lockwood
3
Passes
Parker Wotherspoon
4
Points
William Lockwood
6
Plus/Moins
William Lockwood
6
Victoires
Collin Delia
7
Pourcentage d’arrêts
Collin Delia
0.933

Statistiques d’équipe
Buts pour
17
1.70 GFG
Tirs pour
162
16.20 Avg
Pourcentage en avantage numérique
6.1%
2 GF
Début de zone offensive
38.3%
Buts contre
11
1.10 GAA
Tirs contre
164
16.40 Avg
Pourcentage en désavantage numérique
83.9%%
5 GA
Début de la zone défensive
42.1%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,510
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 50
Espoirs13


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
1Karson KuhlmanX100.007243877574827970406563706969590506802751,000,000$
2Mathieu OlivierX100.007678596880787669476561656761540506602531,000,000$
3Walker DuehrX100.0070457870807767694062646268565005065N0242900,000$
4Nic PetanXXX100.00584462725667666562666066665750050630274900,000$
5Alexander TrueXX100.00664665686767666358625766635350050620251900,000$
6Jeffrey VielX100.00666952697069676545616062655550050620253900,000$
7Felix Robert (R)XX100.00574470725664636358606059655150050610231900,000$
8Tristen Nielsen (R)X100.0062486268626262635663586263515005061N0222620,000$
9Glenn GawdinXX100.00565163666466666458625955635450050600253900,000$
10William LockwoodX100.00574567715765646142595860635350050600241750,000$
11Ville Petman (R)XX100.0061407069616364625260576262515005060N0221620,000$
12Jamieson Rees (R)X100.00565358705862626359635654635050050590212853,333$
13Philip Broberg (R)X100.00644386748582717040666271695650050690213863,333$
14Max LajoieX100.00615265716465656640655969655350050640241750,000$
15Keaton MiddletonX100.0070695358766666634060536958535005063N0242650,000$
16Parker WotherspoonX100.00615463706364626140585268615350050620252800,000$
17Marshall Rifai (R)X100.0062535566646364624058566661525005061N0242620,000$
18Peetro Seppala (R)X100.0065446468646263604057546661505005061N0221620,000$
Rayé
1Adam Klapka (R)XX100.0068585957746162624158586059505005059N0221620,000$
2Curtis Douglas (R)X100.00697052577863636256565556585150050580221900,000$
3Jayden HalbgewachsXX100.0064579265576263587655556055444405058N0251630,000$
4Wyatt NewpowerX100.00636061636865656040525262585350050600242800,000$
5Montana Onyebuchi (R)X100.0064655663706260584053536158515005059N0221620,000$
6Gianni Fairbrother (R)X100.00535251555753525240515152525050050530223848,333$
MOYENNE D’ÉQUIPE100.0063536567676665634860576362535005061
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 Delia100.00797573807674727474767470630506902811,000,000$
2Oscar Dansk100.006965626665656665646564575205060N0282630,000$
Rayé
1Colten Ellis (R)100.0042394871434244464242424440050430213850,833$
MOYENNE D’ÉQUIPE100.006360617261606162606160575205057
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
1William LockwoodOceanics (Win)RW1033660058115727.27%0898.9300000000002150.00%400001.3400000201
2Parker WotherspoonOceanics (Win)D101452408762416.67%621021.00000429000025000%000000.4800000000
3Ville PetmanOceanics (Win)C/LW102356207862733.33%1898.9100000000000120.00%500001.1200000010
4Glenn GawdinOceanics (Win)C/RW1013460069611016.67%1919.1700001000000047.22%7200000.8700000001
5Karson KuhlmanOceanics (Win)RW102132401314217169.52%021921.930003310001311062.50%800000.2700000101
6Nic PetanOceanics (Win)C/LW/RW1012320079153136.67%121521.560001300003291052.31%6500000.2800000010
7Jamieson ReesOceanics (Win)C1003315521473130%016516.52011228000000055.92%15200000.3600001000
8Felix RobertOceanics (Win)C/LW101120002951720.00%013913.93101020000140030.77%1300000.2900000001
9Alexander TrueOceanics (Win)C/RW10112240161384712.50%418818.86000231000031053.85%18200000.2100000001
10Max LajoieOceanics (Win)D100225602175160%822722.76000227000024000%000000.1800000010
11Jeffrey VielOceanics (Win)LW1020211151471851011.11%016716.78101528000041060.00%500000.2400010100
12Philip BrobergOceanics (Win)D100225608103480%1123723.73000128000027000%000000.1700000100
13Walker DuehrOceanics (Win)RW10202020813133415.38%012012.0300000000001050.00%600000.3300000020
14Peetro SeppalaOceanics (Win)D100222601664040%316616.690000200003000%000000.2400000000
15Keaton MiddletonOceanics (Win)D1001121001678470%621021.09000429000023000%000000.0900000000
16Mathieu OlivierOceanics (Win)RW101011952012166246.25%018018.030002280000160030.77%1300000.1100010011
17Tristen NielsenOceanics (Win)C1001102072083100%013313.35000000000150057.94%10700000.1500000000
18Marshall RifaiOceanics (Win)D1000022152092120%516916.910001400007000%00000000000000
Statistiques d’équipe totales ou en moyenne1801729464592201961821625515910.49%46302116.792132730500042287253.01%63200000.3000021566
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
1Collin DeliaOceanics (Win)107210.9331.08614031116400000100201
Statistiques d’équipe totales ou en moyenne107210.9331.0861403111640000100201


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible 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 10Lien
Adam Klapka (contrat à 1 volet)Oceanics (Win)C/RW222000-09-14Yes245 Lbs6 ft7YesNoNoNo1Pro & Farm620,000$155,000$0$0$NoLien
Alexander TrueOceanics (Win)C/RW251997-07-17No201 Lbs6 ft5NoNoYesNo1Pro & Farm900,000$225,000$0$0$NoLien
Collin Delia (contrat à 1 volet)Oceanics (Win)G281994-06-20No208 Lbs6 ft2NoNoYesNo1Pro & Farm1,000,000$250,000$100,000$25,000$NoLien
Colten EllisOceanics (Win)G212000-10-05Yes187 Lbs6 ft1NoNoNoNo3Pro & Farm850,833$212,708$0$0$No850,833$850,833$Lien
Curtis DouglasOceanics (Win)C222000-03-06Yes245 Lbs6 ft9NoNoNoNo1Pro & Farm900,000$225,000$0$0$NoLien
Felix RobertOceanics (Win)C/LW231999-07-24Yes165 Lbs5 ft8NoNoNoNo1Pro & Farm900,000$225,000$0$0$NoLien
Gianni FairbrotherOceanics (Win)D222000-09-30Yes204 Lbs6 ft0NoNoNoNo3Pro & Farm848,333$212,083$0$0$No848,333$848,333$Lien
Glenn GawdinOceanics (Win)C/RW251997-03-25No192 Lbs6 ft1NoNoYesNo3Pro & Farm900,000$225,000$0$0$No900,000$900,000$Lien
Jamieson ReesOceanics (Win)C212001-02-26Yes172 Lbs5 ft11NoNoNoNo2Pro & Farm853,333$213,333$0$0$No853,333$Lien
Jayden Halbgewachs (contrat à 1 volet)Oceanics (Win)C/LW251997-03-22No160 Lbs5 ft8YesNoYesNo1Pro & Farm630,000$157,500$0$0$NoLien
Jeffrey VielOceanics (Win)LW251997-01-28No196 Lbs6 ft0NoNoYesNo3Pro & Farm900,000$225,000$0$0$No900,000$900,000$Lien
Karson Kuhlman (contrat à 1 volet)Oceanics (Win)RW271995-09-26No184 Lbs5 ft10NoNoYesNo5Pro & Farm1,000,000$250,000$100,000$25,000$No1,000,000$1,000,000$1,000,000$1,000,000$Lien
Keaton Middleton (contrat à 1 volet)Oceanics (Win)D241998-02-10No240 Lbs6 ft6YesNoYesNo2Pro & Farm650,000$162,500$0$0$No650,000$Lien
Marshall Rifai (contrat à 1 volet)Oceanics (Win)D241998-03-16Yes201 Lbs6 ft2YesNoYesNo2Pro & Farm620,000$155,000$0$0$No620,000$Lien
Mathieu OlivierOceanics (Win)RW251997-02-11No217 Lbs6 ft1NoNoYesNo3Pro & Farm1,000,000$250,000$0$0$No1,000,000$1,000,000$Lien
Max LajoieOceanics (Win)D241997-11-05No196 Lbs6 ft1NoNoYesNo1Pro & Farm750,000$187,500$0$0$NoLien
Montana Onyebuchi (contrat à 1 volet)Oceanics (Win)D222000-03-08Yes212 Lbs6 ft3YesNoNoNo1Pro & Farm620,000$155,000$0$0$NoLien
Nic Petan (contrat à 1 volet)Oceanics (Win)C/LW/RW271995-03-22No174 Lbs5 ft9NoNoYesNo4Pro & Farm900,000$225,000$0$0$No900,000$900,000$900,000$Lien
Oscar Dansk (contrat à 1 volet)Oceanics (Win)G281994-02-28No205 Lbs6 ft3YesNoYesNo2Pro & Farm630,000$157,500$0$0$No630,000$Lien
Parker WotherspoonOceanics (Win)D251997-08-24No181 Lbs6 ft1NoNoYesNo2Pro & Farm800,000$200,000$0$0$No800,000$Lien
Peetro Seppala (contrat à 1 volet)Oceanics (Win)D222000-08-17Yes192 Lbs6 ft2YesNoNoNo1Pro & Farm620,000$155,000$0$0$NoLien
Philip BrobergOceanics (Win)D212001-06-25Yes199 Lbs6 ft3NoNoNoNo3Pro & Farm863,333$215,833$0$0$No863,333$863,333$Lien
Tristen Nielsen (contrat à 1 volet)Oceanics (Win)C222000-02-23Yes192 Lbs5 ft10YesNoNoNo2Pro & Farm620,000$155,000$0$0$No620,000$Lien
Ville Petman (contrat à 1 volet)Oceanics (Win)C/LW222000-01-18Yes181 Lbs5 ft10YesNoNoNo1Pro & Farm620,000$155,000$0$0$NoLien
Walker Duehr (contrat à 1 volet)Oceanics (Win)RW241997-11-23No210 Lbs6 ft2YesNoYesNo2Pro & Farm900,000$225,000$0$0$No900,000$Lien
William LockwoodOceanics (Win)RW241998-06-20No172 Lbs5 ft11NoNoYesNo1Pro & Farm750,000$187,500$0$0$NoLien
Wyatt NewpowerOceanics (Win)D241997-12-09No207 Lbs6 ft3NoNoYesNo2Pro & Farm800,000$200,000$0$0$No800,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2723.85198 Lbs6 ft12.00794,290$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nic PetanAlexander TrueKarson Kuhlman40014
2Jeffrey VielJamieson ReesMathieu Olivier30014
3Felix RobertTristen NielsenWalker Duehr20014
4Ville PetmanGlenn GawdinWilliam Lockwood10014
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip BrobergMax Lajoie40032
2Keaton MiddletonParker Wotherspoon30032
3Marshall RifaiPeetro Seppala20122
4Philip BrobergMax Lajoie10032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nic PetanAlexander TrueKarson Kuhlman60005
2Jeffrey VielJamieson ReesMathieu Olivier40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip BrobergMax Lajoie60014
2Parker WotherspoonKeaton Middleton40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nic PetanKarson Kuhlman60050
2Tristen NielsenMathieu Olivier40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip BrobergMax Lajoie60050
2Parker WotherspoonKeaton Middleton40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Karson Kuhlman60050Philip BrobergMax Lajoie60050
2Nic Petan40050Keaton MiddletonParker Wotherspoon40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jamieson ReesKarson Kuhlman60014
2Nic PetanMathieu Olivier40014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip BrobergMax Lajoie60023
2Parker WotherspoonKeaton Middleton40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nic PetanJamieson ReesMathieu OlivierPhilip BrobergMax Lajoie
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nic PetanJamieson ReesWalker DuehrPhilip BrobergMax Lajoie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Karson Kuhlman, Jamieson Rees, Mathieu OlivierKarson Kuhlman, Jamieson ReesKarson Kuhlman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Philip Broberg, Max Lajoie, Keaton MiddletonPhilip BrobergPhilip Broberg, Max Lajoie
Tirs de pénalité
Karson Kuhlman, Philip Broberg, Walker Duehr, Nic Petan, Felix Robert
Gardien
#1 : Collin Delia, #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
1Manchots6420000011923120000045-13300000074380.667111930015930915256495102265511820210.00%19478.95%012924253.31%14726655.26%5912447.58%2531772297513367
2Sound Tigers43100000624220000004132110000021160.75061016025930715256495622037781300.00%12191.67%012924253.31%14726655.26%5912447.58%2531772297513367
Total107300000171165320000086254100000954140.700172946035930162525649516446921963326.06%31583.87%012924253.31%14726655.26%5912447.58%2531772297513367
_Since Last GM Reset107300000171165320000086254100000954140.700172946035930162525649516446921963326.06%31583.87%012924253.31%14726655.26%5912447.58%2531772297513367
_Vs Conference107300000171165320000086254100000954140.700172946035930162525649516446921963326.06%31583.87%012924253.31%14726655.26%5912447.58%2531772297513367

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1014W1172946162164469219603
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
107300001711
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
532000086
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
541000095
Derniers 10 matchs
WLOTWOTL SOWSOL
720100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3326.06%31583.87%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
52564955930
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
12924253.31%14726655.26%5912447.58%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2531772297513367


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
1 - 2024-04-201Manchots1Oceanics0BLSommaire du match
3 - 2024-04-229Manchots1Oceanics2BWSommaire du match
5 - 2024-04-2417Oceanics1Manchots0AWSommaire du match
7 - 2024-04-2625Oceanics2Manchots1AWSommaire du match
9 - 2024-04-2833Manchots3Oceanics2BLSommaire du match
11 - 2024-04-3041Oceanics4Manchots3AWSommaire du match
15 - 2024-05-0457Sound Tigers1Oceanics3BWSommaire du match
17 - 2024-05-0661Sound Tigers0Oceanics1BWSommaire du match
19 - 2024-05-0865Oceanics0Sound Tigers1ALXSommaire du match
21 - 2024-05-1069Oceanics2Sound Tigers0AWSommaire du match
23 - 2024-05-1273Sound Tigers-Oceanics-
25 - 2024-05-1477Oceanics-Sound Tigers-
27 - 2024-05-1681Sound Tigers-Oceanics-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4520
Assistance8,5913,961
Assistance PCT85.91%79.22%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 2510 - 83.68% 111,796$558,978$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,201,582$ 1,201,582$ 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$ 7 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

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 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

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