Connexion

Oceanics
GP: 56 | W: 38 | L: 15 | OTL: 3 | P: 79
GF: 155 | GA: 88 | PP%: 16.87% | PK%: 89.80%
DG: Stéphane Gagné | Morale : 50 | Moyenne d’équipe : 61
Prochains matchs #934 vs Chiefs
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Centre de jeu
Oceanics
38-15-3, 79pts
1
FINAL
3 Baby Hawks
38-14-7, 83pts
Team Stats
W1SéquenceW3
17-9-3Fiche domicile22-5-3
21-6-0Fiche domicile16-9-4
3-6-1Derniers 10 matchs7-3-0
2.77Buts par match 2.56
1.57Buts contre par match 1.85
16.87%Pourcentage en avantage numérique18.29%
89.80%Pourcentage en désavantage numérique85.19%
Jayhawks
12-44-1, 25pts
1
FINAL
8 Oceanics
38-15-3, 79pts
Team Stats
L1SéquenceW1
7-22-0Fiche domicile17-9-3
5-22-1Fiche domicile21-6-0
2-8-0Derniers 10 matchs3-6-1
1.70Buts par match 2.77
4.18Buts contre par match 1.57
11.26%Pourcentage en avantage numérique16.87%
68.52%Pourcentage en désavantage numérique89.80%
Chiefs
36-15-6, 78pts
2024-02-27
Oceanics
38-15-3, 79pts
Statistiques d’équipe
L2SéquenceW1
20-6-3Fiche domicile17-9-3
16-9-3Fiche visiteur21-6-0
5-3-210 derniers matchs3-6-1
2.25Buts par match 2.77
1.77Buts contre par match 2.77
13.17%Pourcentage en avantage numérique16.87%
89.29%Pourcentage en désavantage numérique89.80%
Oceanics
38-15-3, 79pts
2024-02-29
Stars
37-18-4, 78pts
Statistiques d’équipe
W1SéquenceL1
17-9-3Fiche domicile17-9-2
21-6-0Fiche visiteur20-9-2
3-6-110 derniers matchs9-1-0
2.77Buts par match 2.63
1.57Buts contre par match 2.63
16.87%Pourcentage en avantage numérique17.16%
89.80%Pourcentage en désavantage numérique85.08%
Oceanics
38-15-3, 79pts
2024-03-02
Caroline
38-14-6, 82pts
Statistiques d’équipe
W1SéquenceL1
17-9-3Fiche domicile21-5-4
21-6-0Fiche visiteur17-9-2
3-6-110 derniers matchs8-2-0
2.77Buts par match 2.47
1.57Buts contre par match 2.47
16.87%Pourcentage en avantage numérique16.39%
89.80%Pourcentage en désavantage numérique88.53%
Meneurs d'équipe
Buts
Mathieu Olivier
16
Passes
Philip Broberg
30
Points
Philip Broberg
39
Plus/Moins
Max Lajoie
24
Victoires
Collin Delia
38
Pourcentage d’arrêts
Oscar Dansk
0.95

Statistiques d’équipe
Buts pour
155
2.77 GFG
Tirs pour
1226
21.89 Avg
Pourcentage en avantage numérique
16.9%
28 GF
Début de zone offensive
41.2%
Buts contre
88
1.57 GAA
Tirs contre
1003
17.91 Avg
Pourcentage en désavantage numérique
89.8%%
20 GA
Début de la zone défensive
38.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,082
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
1Philip BrobergOceanics (Win)D559303923260686271164612.68%38128423.354812391410001167100%000100.6124000432
2Mathieu OlivierOceanics (Win)RW56161935155609989117307613.68%694716.923811191350000174160.00%6000000.7400000332
3Alexander TrueOceanics (Win)C/RW5610243416415749188245711.36%393116.633811211390000191158.67%90500000.7300000220
4Nic PetanOceanics (Win)C/LW/RW5610192921220527588297511.36%5116320.782810814510161771059.87%15200000.5000000115
5Jeffrey VielOceanics (Win)LW5613152815200736889288714.61%692816.59336151350001352139.13%4600000.6000000333
6Karson KuhlmanOceanics (Win)RW3615122718200434389325916.85%668318.9833618870000423055.00%4000010.7901000221
7Walker DuehrOceanics (Win)RW5611162717140565491235112.09%571512.78000000005823056.00%2500000.7511000241
8Parker WotherspoonOceanics (Win)D56321241826052445114335.88%40115220.58156231280110146100%000000.4200000213
9Max LajoieOceanics (Win)D563202324375114534021377.50%44125522.41257161330000148020%000000.3700001211
10Tristen NielsenOceanics (Win)C561482216140515267184920.90%373013.050000000001044154.19%60900000.6000000136
11Peetro SeppalaOceanics (Win)D56218201736089231291716.67%2689816.05101212000022100%000000.4500000311
12Felix RobertOceanics (Win)C/LW56712191640284268235710.29%375013.400001140000851158.33%8400000.5100000121
13Marshall RifaiOceanics (Win)D5611617164159523239224.35%3295116.99011427000065000%000000.3600010011
14Keaton MiddletonOceanics (Win)D563131621520122493612268.33%35116620.82213171310000150000%000000.2700000003
15Ville PetmanOceanics (Win)C/LW568715610036286192913.11%74828.6200006000065069.23%2600000.6200000312
16William LockwoodOceanics (Win)RW566814640273338103315.79%24718.4200000000013052.63%1900000.5900000112
17Glenn GawdinOceanics (Win)C/RW5658136120244938102613.16%34798.5700005000020159.21%42900000.5400000021
18Jamieson ReesOceanics (Win)C292792201243319336.45%148416.71011269000002050.69%43200000.3700000000
19Jayden HalbgewachsOceanics (Win)C/LW200223401020255160%040920.490007590111560064.71%15300000.1001000000
20Gianni FairbrotherOceanics (Win)D1000020200000%22020.180000200002000%00000000000000
Statistiques d’équipe totales ou en moyenne981138275413276443151127941112333182912.29%2671590816.22245175192137712314133532856.74%298000110.5237011303135
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)56381530.9141.54331428859830100.60010560231
2Oscar DanskOceanics (Win)20000.9500.92650012000000056000
Statistiques d’équipe totales ou en moyenne58381530.9141.53338028861003010105656231


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$171,146$0$0$NoLien
Alexander TrueOceanics (Win)C/RW251997-07-17No201 Lbs6 ft5NoNoYesYes1Pro & Farm900,000$248,438$0$0$NoLien
Collin Delia (contrat à 1 volet)Oceanics (Win)G281994-06-20No208 Lbs6 ft2NoNoYesYes1Pro & Farm1,000,000$276,042$100,000$27,604$NoLien
Colten EllisOceanics (Win)G212000-10-05Yes187 Lbs6 ft1NoNoNoNo3Pro & Farm850,833$234,865$0$0$No850,833$850,833$Lien
Curtis DouglasOceanics (Win)C222000-03-06Yes245 Lbs6 ft9NoNoNoNo1Pro & Farm900,000$248,438$0$0$NoLien
Felix RobertOceanics (Win)C/LW231999-07-24Yes165 Lbs5 ft8NoNoNoNo1Pro & Farm900,000$248,438$0$0$NoLien
Gianni FairbrotherOceanics (Win)D222000-09-30Yes204 Lbs6 ft0NoNoNoNo3Pro & Farm848,333$234,175$0$0$No848,333$848,333$Lien
Glenn GawdinOceanics (Win)C/RW251997-03-25No192 Lbs6 ft1NoNoYesYes3Pro & Farm900,000$248,438$0$0$No900,000$900,000$Lien
Jamieson ReesOceanics (Win)C212001-02-26Yes172 Lbs5 ft11NoNoNoNo2Pro & Farm853,333$235,555$0$0$No853,333$Lien
Jayden Halbgewachs (contrat à 1 volet)Oceanics (Win)C/LW251997-03-22No160 Lbs5 ft8YesNoYesYes1Pro & Farm630,000$173,906$0$0$NoLien
Jeffrey VielOceanics (Win)LW251997-01-28No196 Lbs6 ft0NoNoYesYes3Pro & Farm900,000$248,438$0$0$No900,000$900,000$Lien
Karson Kuhlman (contrat à 1 volet)Oceanics (Win)RW271995-09-26No184 Lbs5 ft10NoNoYesYes5Pro & Farm1,000,000$276,042$100,000$27,604$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 ft6YesNoYesYes2Pro & Farm650,000$179,427$0$0$No650,000$Lien
Marshall Rifai (contrat à 1 volet)Oceanics (Win)D241998-03-16Yes201 Lbs6 ft2YesNoYesYes2Pro & Farm620,000$171,146$0$0$No620,000$Lien
Mathieu OlivierOceanics (Win)RW251997-02-11No217 Lbs6 ft1NoNoYesYes3Pro & Farm1,000,000$276,042$0$0$No1,000,000$1,000,000$Lien
Max LajoieOceanics (Win)D241997-11-05No196 Lbs6 ft1NoNoYesYes1Pro & Farm750,000$207,031$0$0$NoLien
Montana Onyebuchi (contrat à 1 volet)Oceanics (Win)D222000-03-08Yes212 Lbs6 ft3YesNoNoNo1Pro & Farm620,000$171,146$0$0$NoLien
Nic Petan (contrat à 1 volet)Oceanics (Win)C/LW/RW271995-03-22No174 Lbs5 ft9NoNoYesYes4Pro & Farm900,000$248,438$0$0$No900,000$900,000$900,000$Lien
Oscar Dansk (contrat à 1 volet)Oceanics (Win)G281994-02-28No205 Lbs6 ft3YesNoYesYes2Pro & Farm630,000$173,906$0$0$No630,000$Lien
Parker WotherspoonOceanics (Win)D251997-08-24No181 Lbs6 ft1NoNoYesYes2Pro & Farm800,000$220,833$0$0$No800,000$Lien
Peetro Seppala (contrat à 1 volet)Oceanics (Win)D222000-08-17Yes192 Lbs6 ft2YesNoNoNo1Pro & Farm620,000$171,146$0$0$NoLien
Philip BrobergOceanics (Win)D212001-06-25Yes199 Lbs6 ft3NoNoNoNo3Pro & Farm863,333$238,316$0$0$No863,333$863,333$Lien
Tristen Nielsen (contrat à 1 volet)Oceanics (Win)C222000-02-23Yes192 Lbs5 ft10YesNoNoNo2Pro & Farm620,000$171,146$0$0$No620,000$Lien
Ville Petman (contrat à 1 volet)Oceanics (Win)C/LW222000-01-18Yes181 Lbs5 ft10YesNoNoNo1Pro & Farm620,000$171,146$0$0$NoLien
Walker Duehr (contrat à 1 volet)Oceanics (Win)RW241997-11-23No210 Lbs6 ft2YesNoYesYes2Pro & Farm900,000$248,438$0$0$No900,000$Lien
William LockwoodOceanics (Win)RW241998-06-20No172 Lbs5 ft11NoNoYesYes1Pro & Farm750,000$207,031$0$0$NoLien
Wyatt NewpowerOceanics (Win)D241997-12-09No207 Lbs6 ft3NoNoYesYes2Pro & Farm800,000$220,833$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
1Admirals22000000615000000000002200000061541.000611170163553544538740043414271720384125.00%90100.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
2Baby Hawks4220000089-1220000005322020000036-340.5008142200635535477387400434141022444819333.33%20195.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
3Bruins2110000023-1110000002111010000002-220.500235006355354293874004341432814384125.00%7185.71%0873150358.08%798139257.33%43175057.47%148910631197380696366
4Cabaret Lady Mary Ann22000000523110000002111100000031241.00051015006355354463874004341425910268112.50%4175.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
5Caroline10000010321100000103210000000000021.0003360063553542438740043414208623300.00%3166.67%0873150358.08%798139257.33%43175057.47%148910631197380696366
6Chiefs210001003301000010012-11100000021130.75036900635535445387400434143442533500.00%9188.89%0873150358.08%798139257.33%43175057.47%148910631197380696366
7Chill2110000034-11010000003-31100000031220.50036900635535444387400434142691236500.00%6183.33%0873150358.08%798139257.33%43175057.47%148910631197380696366
8Comets1010000012-1000000000001010000012-100.00011200635535420387400434142272014000%90100.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
9Cougars2200000012210110000006151100000061541.0001222340063553544938740043414429144210440.00%70100.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
10Crunch11000000101110000001010000000000021.0001230163553542838740043414139816000%30100.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
11Heat22000000633000000000002200000063341.0006121800635535437387400434143242057500.00%10280.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
12Jayhawks44000000184142200000011382200000071681.000183452016355354145387400434147424269111327.27%10190.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
13Las Vegas22000000918110000005141100000040441.00091726016355354493874004341420616485120.00%8187.50%0873150358.08%798139257.33%43175057.47%148910631197380696366
14Manchots2020000024-21010000012-11010000012-100.0002460063553542738740043414413183710220.00%7185.71%0873150358.08%798139257.33%43175057.47%148910631197380696366
15Marlies211000006331010000012-11100000051420.50061218006355354373874004341431812415120.00%6183.33%1873150358.08%798139257.33%43175057.47%148910631197380696366
16Minnesota32100000835211000006331100000020240.66781523016355354613874004341444930598112.50%14192.86%0873150358.08%798139257.33%43175057.47%148910631197380696366
17Monarchs220000001037110000005231100000051441.000101828006355354513874004341441910408112.50%50100.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
18Monsters1000000123-11000000123-10000000000010.50024600635535416387400434142571020500.00%4175.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
19Monsters211000003301010000023-11100000010120.50036901635535441387400434144288287114.29%4175.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
20Oil Kings2010001056-11010000024-21000001032120.5005712006355354363874004341444141643200.00%8187.50%0873150358.08%798139257.33%43175057.47%148910631197380696366
21Phantoms2020000047-31010000012-11010000035-200.000461000635535427387400434143361250400.00%60100.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
22Rocket211000004401010000002-21100000042220.5004812006355354483874004341443128545120.00%40100.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
23Sags3200000110821000000145-12200000063350.8331019290063553546638740043414511741647228.57%12375.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
24Senators11000000312000000000001100000031221.0003580063553541438740043414177820300.00%4175.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
25Sound Tigers1010000002-21010000002-20000000000000.0000000063553541938740043414215429400.00%10100.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
26Spiders11000000101110000001010000000000021.00012301635535422387400434141371116400.00%20100.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
27Stars22000000615220000006150000000000041.00061117016355354343874004341424716397114.29%50100.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
28Thunder220000001028110000004131100000061541.00010192900635535460387400434144314145810220.00%70100.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
29Wolf Pack11000000422110000004220000000000021.000481200635535429387400434142146158225.00%20100.00%0873150358.08%798139257.33%43175057.47%148910631197380696366
Total56361500122155886729169001127551242720600010803743790.705155285440086355354122638740043414100327545911561662816.87%1962089.80%1873150358.08%798139257.33%43175057.47%148910631197380696366
_Since Last GM Reset56361500122155886729169001127551242720600010803743790.705155285440086355354122638740043414100327545911561662816.87%1962089.80%1873150358.08%798139257.33%43175057.47%148910631197380696366
_Vs Conference241480000263432012550000225250129300000381820300.6256311718002635535448638740043414422121192502811214.81%78988.46%1873150358.08%798139257.33%43175057.47%148910631197380696366
_Vs Division1473000014317267220000116887510000027918150.5364381124016355354311387400434142467688295451022.22%42490.48%1873150358.08%798139257.33%43175057.47%148910631197380696366

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5679W115528544012261003275459115608
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
563615012215588
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2916901127551
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2720600108037
Derniers 10 matchs
WLOTWOTL SOWSOL
360001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1662816.87%1962089.80%1
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
387400434146355354
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
873150358.08%798139257.33%43175057.47%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
148910631197380696366


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
2 - 2023-10-119Oceanics4Heat2AWSommaire du match
5 - 2023-10-1420Cabaret Lady Mary Ann1Oceanics2BWSommaire du match
8 - 2023-10-1745Monarchs2Oceanics5BWSommaire du match
10 - 2023-10-1958Las Vegas1Oceanics5BWSommaire du match
12 - 2023-10-2178Oceanics3Oil Kings2AWXXSommaire du match
15 - 2023-10-2493Chiefs2Oceanics1BLXSommaire du match
17 - 2023-10-26102Oceanics6Cougars1AWSommaire du match
19 - 2023-10-28122Oceanics4Rocket2AWSommaire du match
21 - 2023-10-30134Wolf Pack2Oceanics4BWSommaire du match
24 - 2023-11-02155Oceanics4Las Vegas0AWSommaire du match
26 - 2023-11-04160Oceanics3Jayhawks1AWSommaire du match
29 - 2023-11-07184Oceanics2Chiefs1AWSommaire du match
31 - 2023-11-09200Chill3Oceanics0BLSommaire du match
33 - 2023-11-11211Stars1Oceanics3BWSommaire du match
36 - 2023-11-14236Spiders0Oceanics1BWSommaire du match
39 - 2023-11-17252Crunch0Oceanics1BWSommaire du match
40 - 2023-11-18259Jayhawks2Oceanics3BWSommaire du match
44 - 2023-11-22284Oceanics6Thunder1AWSommaire du match
46 - 2023-11-24304Oceanics3Cabaret Lady Mary Ann1AWSommaire du match
48 - 2023-11-26319Oceanics3Chill1AWSommaire du match
50 - 2023-11-28332Stars0Oceanics3BWSommaire du match
52 - 2023-11-30349Oil Kings4Oceanics2BLSommaire du match
54 - 2023-12-02357Baby Hawks2Oceanics3BWSommaire du match
56 - 2023-12-04376Caroline2Oceanics3BWXXSommaire du match
59 - 2023-12-07402Oceanics1Monsters0AWSommaire du match
62 - 2023-12-10425Oceanics2Admirals1AWSommaire du match
64 - 2023-12-12441Oceanics3Sags1AWSommaire du match
65 - 2023-12-13446Oceanics5Monarchs1AWSommaire du match
68 - 2023-12-16462Monsters3Oceanics2BLSommaire du match
70 - 2023-12-18481Rocket2Oceanics0BLSommaire du match
72 - 2023-12-20495Cougars1Oceanics6BWSommaire du match
74 - 2023-12-22512Bruins1Oceanics2BWSommaire du match
79 - 2023-12-27538Oceanics2Baby Hawks3ALSommaire du match
82 - 2023-12-30555Minnesota2Oceanics1BLSommaire du match
83 - 2023-12-31564Oceanics2Minnesota0AWSommaire du match
85 - 2024-01-02580Thunder1Oceanics4BWSommaire du match
87 - 2024-01-04601Oceanics3Sags2AWSommaire du match
88 - 2024-01-05604Oceanics4Admirals0AWSommaire du match
90 - 2024-01-07619Oceanics4Jayhawks0AWSommaire du match
92 - 2024-01-09631Monsters3Oceanics2BLXXSommaire du match
94 - 2024-01-11648Baby Hawks1Oceanics2BWSommaire du match
96 - 2024-01-13657Phantoms2Oceanics1BLSommaire du match
99 - 2024-01-16685Sound Tigers2Oceanics0BLSommaire du match
103 - 2024-01-20709Oceanics3Senators1AWSommaire du match
105 - 2024-01-22724Oceanics0Bruins2ALSommaire du match
107 - 2024-01-24740Oceanics5Marlies1AWSommaire du match
110 - 2024-01-27763Marlies2Oceanics1BLSommaire du match
120 - 2024-02-06788Oceanics1Manchots2ALSommaire du match
122 - 2024-02-08797Oceanics3Phantoms5ALSommaire du match
124 - 2024-02-10810Manchots2Oceanics1BLSommaire du match
128 - 2024-02-14834Sags5Oceanics4BLXXSommaire du match
131 - 2024-02-17860Oceanics1Comets2ALSommaire du match
133 - 2024-02-19873Oceanics2Heat1AWSommaire du match
134 - 2024-02-20880Minnesota1Oceanics5BWSommaire du match
137 - 2024-02-23901Oceanics1Baby Hawks3ALSommaire du match
139 - 2024-02-25919Jayhawks1Oceanics8BWSommaire du match
141 - 2024-02-27934Chiefs-Oceanics-
143 - 2024-02-29947Oceanics-Stars-
145 - 2024-03-02956Oceanics-Caroline-
146 - 2024-03-03972Oceanics-Crunch-
148 - 2024-03-05986Seattle-Oceanics-
151 - 2024-03-081008Oceanics-Seattle-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152 - 2024-03-091019Oceanics-Comets-
154 - 2024-03-111029Bears-Oceanics-
156 - 2024-03-131042Chill-Oceanics-
158 - 2024-03-151057Admirals-Oceanics-
160 - 2024-03-171076Oceanics-Monsters-
162 - 2024-03-191085Oceanics-Wolf Pack-
164 - 2024-03-211102Oceanics-Spiders-
166 - 2024-03-231113Oceanics-Sound Tigers-
167 - 2024-03-241124Oceanics-Bears-
169 - 2024-03-261142Oil Kings-Oceanics-
171 - 2024-03-281158Las Vegas-Oceanics-
173 - 2024-03-301170Senators-Oceanics-
175 - 2024-04-011187Monarchs-Oceanics-
178 - 2024-04-041209Heat-Oceanics-
180 - 2024-04-061219Oceanics-Minnesota-
183 - 2024-04-091247Oceanics-Chill-
185 - 2024-04-111262Oceanics-Stars-
187 - 2024-04-131272Oceanics-Monsters-
190 - 2024-04-161300Seattle-Oceanics-
192 - 2024-04-181308Comets-Oceanics-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4520
Assistance40,91019,457
Assistance PCT70.53%67.09%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
12 2082 - 69.39% 92,280$2,676,108$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
899,237$ 1,201,582$ 1,201,582$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
6,258$ 899,237$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,107,355$ 53 6,258$ 331,674$




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