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Oceanics
GP: 5 | W: 3 | L: 1 | OTL: 1 | P: 7
GF: 26 | GA: 17 | PP%: 35.29% | PK%: 85.71%
DG: Stéphane Gagné | Morale : 50 | Moyenne d’équipe : 62
Prochains matchs #96 vs Heat

Centre de jeu
Oceanics
3-1-1, 7pts
3
FINAL
7 Phantoms
5-0-0, 10pts
Team Stats
W1SéquenceW5
2-0-1Fiche domicile3-0-0
1-1-0Fiche domicile2-0-0
3-1-1Derniers 10 matchs5-0-0
5.20Buts par match 6.60
3.40Buts contre par match 3.20
35.29%Pourcentage en avantage numérique38.46%
85.71%Pourcentage en désavantage numérique87.50%
Jayhawks
3-3-0, 6pts
1
FINAL
8 Oceanics
3-1-1, 7pts
Team Stats
L1SéquenceW1
1-1-0Fiche domicile2-0-1
2-2-0Fiche domicile1-1-0
3-3-0Derniers 10 matchs3-1-1
3.33Buts par match 5.20
5.50Buts contre par match 3.40
9.09%Pourcentage en avantage numérique35.29%
33.33%Pourcentage en désavantage numérique85.71%
Oceanics
3-1-1, 7pts
2025-10-20
Heat
2-3-1, 5pts
Statistiques d’équipe
W1SéquenceL1
2-0-1Fiche domicile1-0-1
1-1-0Fiche visiteur1-3-0
3-1-110 derniers matchs2-3-1
5.20Buts par match 5.00
3.40Buts contre par match 5.00
35.29%Pourcentage en avantage numérique47.37%
85.71%Pourcentage en désavantage numérique81.82%
Firebirds
4-0-1, 9pts
2025-10-23
Oceanics
3-1-1, 7pts
Statistiques d’équipe
W2SéquenceW1
2-0-0Fiche domicile2-0-1
2-0-1Fiche visiteur1-1-0
4-0-110 derniers matchs3-1-1
7.00Buts par match 5.20
4.60Buts contre par match 5.20
57.89%Pourcentage en avantage numérique35.29%
70.59%Pourcentage en désavantage numérique85.71%
Heat
2-3-1, 5pts
2025-10-24
Oceanics
3-1-1, 7pts
Statistiques d’équipe
L1SéquenceW1
1-0-1Fiche domicile2-0-1
1-3-0Fiche visiteur1-1-0
2-3-110 derniers matchs3-1-1
5.00Buts par match 5.20
4.83Buts contre par match 5.20
47.37%Pourcentage en avantage numérique35.29%
81.82%Pourcentage en désavantage numérique85.71%
Meneurs d'équipe
Buts
Ross Johnston
4
Passes
Glenn Gawdin
9
Points
Glenn Gawdin
11
Plus/Moins
Parker Wotherspoon
5
Victoires
Colten Ellis
3
Pourcentage d’arrêts
Colten Ellis
0.887

Statistiques d’équipe
Buts pour
26
5.20 GFG
Tirs pour
183
36.60 Avg
Pourcentage en avantage numérique
35.3%
6 GF
Début de zone offensive
37.7%
Buts contre
17
3.40 GAA
Tirs contre
142
28.40 Avg
Pourcentage en désavantage numérique
85.7%%
2 GA
Début de la zone défensive
34.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,094
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure18
Limite contact 43 / 50
Espoirs15


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
1Ross JohnstonXX100.0084765867907784674263626765847405068N0302620,000$
2Walker DuehrXX100.00734083718477726840636364676353050660262920,000$
3Glenn GawdinX100.00604664696370696652656262665750050630271900,000$
4Marc Gatcomb (R)X100.0076457671747464664759636366525005063N0252620,000$
5Will LockwoodX100.00624274696270686344585761636452050610261800,000$
6Jeffrey VielX100.00626450656569686444625863625750050610271900,000$
7Juha JaaskaX100.0061436967747159634962596263515005061N0262620,000$
8Mike Hardman (R)X100.0063417264666766634460606063545005060N0252620,000$
9Brian Halonen (R)X100.0063446765656664634457636164545005060N0251620,000$
10Nic PetanXXX100.00514365675664636151605456615952050580292900,000$
11Riley Fiddler-Schultz (R)X100.0062416864656260595556565759515005058N0222620,000$
12Noah Laba (R)XXX100.00614066616258565640545455575050050560213870,000$
13Philip Broberg (R)X100.00674084748181757640726877726253050720231863,333$
14Emil Lilleberg (R)X100.00736866748382727040716273685550050700232870,000$
15Parker WotherspoonX100.007050817577857369406661746859500506902731,200,000$
16Keaton MiddletonX100.00706462648676726740605970636456050670262700,000$
17Lian Bichsel (R)X100.00735061678673606540616267655150050650202918,333$
18Max LajoieX100.00624468676369676440645669625550050630261800,000$
Rayé
1Reid Schaefer (R)X100.00684266607259565942555460585050050580212886,667$
2Miko Matikka (R)X100.00604067596259575540545354565050050550203870,000$
3Montana Onyebuchi (R)X100.00656253656866646140535467605350050610241620,000$
4Tyson Hinds (R)X100.00594467656365636240585560605050050600212829,444$
5Gianni Fairbrother (R)X100.00475249535745444638434350485050050490241848,333$
MOYENNE D’ÉQUIPE100.0065496766716965634360586362565205062
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
1Colten Ellis (R)100.0072616462666871686967575250050610241850,833$
2Samuel Hlavaj (R)100.0068636668686768666767585150050610232875,000$
Rayé
MOYENNE D’ÉQUIPE100.007062656567687067686758525005061
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
1Glenn GawdinOceanics (Win)C52911-10061122499.09%110120.37055312000070154.91%17331002.1600000200
2Ross JohnstonOceanics (Win)LW/RW5448-44620852481516.67%09519.012357110000100062.50%862001.6811211000
3Jeffrey VielOceanics (Win)LW5358-12115106103730.00%09118.35022111000030050.00%653001.7400120000
4Philip BrobergOceanics (Win)D5156-300119215144.76%214729.47101515000014000%035000.8100000001
5Emil LillebergOceanics (Win)D5156-11915141017445.88%613426.83123411000012010%049000.8900111000
6Nic PetanOceanics (Win)C/LW/RW54042007470157.14%15911.9900000000020071.43%2121001.3300000020
7Parker WotherspoonOceanics (Win)D522457521782325.00%110420.841011800009100%032000.7700010000
8Brian HalonenOceanics (Win)LW531422045143321.43%15310.720000000000110%010001.4900000010
9Mike HardmanOceanics (Win)LW52133002473328.57%27214.4600001000020050.00%212000.8300000001
10Walker DuehrOceanics (Win)C/RW512320010715896.67%210220.580000100002140048.65%3713000.5811000010
11Marc GatcombOceanics (Win)C50333405311280%56713.5800000000000050.00%4811000.8800000000
12Juha JaaskaOceanics (Win)LW51232002482312.50%16913.86000080001400100.00%441000.8700000100
13Keaton MiddletonOceanics (Win)D511251957631233.33%59919.871011800007000%023000.4000001000
14Will LockwoodOceanics (Win)RW5022100835260%06513.11000190000000100.00%221000.6100000001
15Riley Fiddler-SchultzOceanics (Win)C5022200327130%35310.6800000000000071.43%710000.7500000000
16Max LajoieOceanics (Win)D5000100242530%26813.610000100012000%00400000000000
17Lian BichselOceanics (Win)D5000100612120%46212.420000000000000%00300000000000
18Noah LabaOceanics (Win)C/LW/RW2000-100200110%1189.270000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne872544691811860109101183559613.66%37146716.8761218231110004932355.84%3083941000.9422453343
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
1Colten EllisOceanics (Win)53110.8873.15286001513364001.000250000
2Samuel HlavajOceanics (Win)10000.7786.002000294000005000
Statistiques d’équipe totales ou en moyenne63110.8803.3230700171426800255000


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
Brian HalonenOceanics (Win)LW251999-01-11USAYes205 Lbs6 ft0YesNoFree AgentYesYes12025-09-28FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Colten EllisOceanics (Win)G242000-10-05CANYes185 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm850,833$0$0$No---------------------------Lien
Emil LillebergOceanics (Win)D232001-02-02NORYes208 Lbs6 ft3NoNoProspectNoNo22024-07-08FalseFalsePro & Farm870,000$0$0$No870,000$--------870,000$--------No--------Lien
Gianni FairbrotherOceanics (Win)D242000-09-30CANYes204 Lbs6 ft0NoNoN/ANoYes1FalseFalsePro & Farm848,333$0$0$No---------------------------Lien
Glenn GawdinOceanics (Win)C271997-03-25CANNo192 Lbs6 ft1NoNoN/AYesYes1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Jeffrey VielOceanics (Win)LW271997-01-28CANNo205 Lbs6 ft2NoNoN/AYesYes1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Juha JaaskaOceanics (Win)LW261998-02-09FINNo210 Lbs6 ft0YesNoFree AgentNoYes22025-09-28FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Keaton Middleton (contrat à 1 volet)Oceanics (Win)D261998-02-10CANNo240 Lbs6 ft6NoNoFree AgentYesYes22025-08-28FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Lian BichselOceanics (Win)D202004-05-18CHEYes231 Lbs6 ft7NoNoProspectNoNo22024-06-25FalseFalsePro & Farm918,333$0$0$No918,333$--------918,333$--------No--------Lien
Marc Gatcomb (contrat à 1 volet)Oceanics (Win)C251999-07-22USAYes195 Lbs6 ft2YesNoFree AgentYesYes22025-09-21FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Max LajoieOceanics (Win)D261997-11-05CANNo196 Lbs6 ft1NoNoFree AgentYesYes12024-09-06FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Mike HardmanOceanics (Win)LW251999-02-05USAYes205 Lbs6 ft2YesNoFree AgentYesYes22025-09-28FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Miko MatikkaOceanics (Win)RW202003-10-26FINYes187 Lbs6 ft3NoNoProspectNoNo32025-07-10FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------Lien
Montana Onyebuchi (contrat à 1 volet)Oceanics (Win)D242000-03-08CANYes201 Lbs6 ft3NoNoFree AgentNoYes12025-08-28FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Nic Petan (contrat à 1 volet)Oceanics (Win)C/LW/RW291995-03-22CANNo174 Lbs5 ft9NoNoN/AYesYes2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Noah LabaOceanics (Win)C/LW/RW212003-08-04USAYes192 Lbs6 ft2NoNoProspectNoNo32025-07-10FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------Lien
Parker Wotherspoon (contrat à 1 volet)Oceanics (Win)D271997-08-24CANNo192 Lbs6 ft1NoNoFree AgentYesYes32025-09-05FalseFalsePro & Farm1,200,000$280,000$261,140$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Philip BrobergOceanics (Win)D232001-06-25SWEYes212 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm863,333$0$0$No---------------------------Lien
Reid SchaeferOceanics (Win)LW212003-09-21CANYes220 Lbs6 ft4NoNoProspectNoNo22024-06-25FalseFalsePro & Farm886,667$0$0$No886,667$--------886,667$--------No--------Lien
Riley Fiddler-SchultzOceanics (Win)C222002-05-13CANYes196 Lbs6 ft1YesNoFree AgentNoNo22025-09-21FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Ross JohnstonOceanics (Win)LW/RW301994-02-18CANNo232 Lbs6 ft5YesNoFree AgentYesYes22025-09-28FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Samuel HlavajOceanics (Win)G232001-05-29SLVYes218 Lbs6 ft4NoNoProspectNoNo22024-06-25FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien
Tyson HindsOceanics (Win)D212003-03-02CANYes179 Lbs6 ft3NoNoProspectNoNo22024-06-25FalseFalsePro & Farm829,444$0$0$No829,444$--------829,444$--------No--------Lien
Walker Duehr (contrat à 1 volet)Oceanics (Win)C/RW261997-11-23USANo210 Lbs6 ft2NoNoFree AgentYesYes22025-08-28FalseFalsePro & Farm920,000$0$0$No920,000$--------920,000$--------No--------Lien
Will LockwoodOceanics (Win)RW261998-06-20USANo172 Lbs5 ft11NoNoFree AgentYesYes12024-09-06FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.44202 Lbs6 ft21.76805,678$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jeffrey VielGlenn GawdinRoss Johnston40113
2Mike HardmanMarc GatcombWalker Duehr30113
3Juha JaaskaNic PetanWill Lockwood20122
4Brian HalonenRiley Fiddler-SchultzNoah Laba10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Emil LillebergPhilip Broberg40131
2Parker WotherspoonKeaton Middleton30131
3Lian BichselMax Lajoie20131
4Emil LillebergPhilip Broberg10131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jeffrey VielGlenn GawdinRoss Johnston60005
2Juha JaaskaWalker DuehrWill Lockwood40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Emil LillebergPhilip Broberg60014
2Keaton MiddletonParker Wotherspoon40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Walker DuehrRoss Johnston60050
2Glenn GawdinJuha Jaaska40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Emil LillebergPhilip Broberg60140
2Keaton MiddletonParker Wotherspoon40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Walker Duehr60050Philip BrobergEmil Lilleberg60050
2Glenn Gawdin40050Keaton MiddletonParker Wotherspoon40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Walker DuehrRoss Johnston60023
2Glenn GawdinJuha Jaaska40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip BrobergEmil Lilleberg60122
2Keaton MiddletonParker Wotherspoon40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeffrey VielWalker DuehrRoss JohnstonEmil LillebergPhilip Broberg
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeffrey VielWalker DuehrRoss JohnstonEmil LillebergPhilip Broberg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ross Johnston, Jeffrey Viel, Walker DuehrRoss Johnston, Walker DuehrRoss Johnston
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Philip Broberg, Emil Lilleberg, Parker WotherspoonPhilip BrobergPhilip Broberg, Emil Lilleberg
Tirs de pénalité
Walker Duehr, Ross Johnston, Jeffrey Viel, Glenn Gawdin, Will Lockwood
Gardien
#1 : Colten Ellis, #2 : Samuel Hlavaj


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
1Jayhawks11000000817110000008170000000000021.00081523008512235605367520929226583.33%20100.00%06211653.45%6310758.88%478555.29%10861106429148
2Monarchs1000010023-11000010023-10000000000010.50023500851222560536752651019200.00%50100.00%06211653.45%6310758.88%478555.29%10861106429148
3Phantoms1010000037-4000000000001010000037-400.00035800851224160536753333422300.00%20100.00%06211653.45%6310758.88%478555.29%10861106429148
4Sound Tigers10000010541000000000001000001054121.0005712008512243605367537141122200.00%3166.67%06211653.45%6310758.88%478555.29%10861106429148
5Stars11000000826110000008260000000000021.00081422008512239605367526734254125.00%2150.00%06211653.45%6310758.88%478555.29%10861106429148
Total5210011026179320001001861220100010811-370.700264470008512218360536751423811811017635.29%14285.71%06211653.45%6310758.88%478555.29%10861106429148
_Since Last GM Reset5210011026179320001001861220100010811-370.700264470008512218360536751423811811017635.29%14285.71%06211653.45%6310758.88%478555.29%10861106429148
_Vs Conference301001101014-41000010023-120100010811-330.5001015250085122109605367596225563700.00%10190.00%06211653.45%6310758.88%478555.29%10861106429148

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
57W12644701831423811811000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
52101102617
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3200100186
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2010010811
Derniers 10 matchs
WLOTWOTL SOWSOL
310100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
17635.29%14285.71%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
605367585122
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
6211653.45%6310758.88%478555.29%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10861106429148


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
3 - 2025-10-0917Stars2Oceanics8WSommaire du match
5 - 2025-10-1122Monarchs3Oceanics2LXSommaire du match
7 - 2025-10-1342Oceanics5Sound Tigers4WXXSommaire du match
10 - 2025-10-1666Oceanics3Phantoms7LSommaire du match
12 - 2025-10-1884Jayhawks1Oceanics8WSommaire du match
14 - 2025-10-2096Oceanics-Heat-
17 - 2025-10-23120Firebirds-Oceanics-
18 - 2025-10-24126Heat-Oceanics-
20 - 2025-10-26143Roadrunners-Oceanics-
22 - 2025-10-28157Oceanics-Minnesota-
24 - 2025-10-30174Baby Hawks-Oceanics-
26 - 2025-11-01182Manchots-Oceanics-
29 - 2025-11-04212Oceanics-Monarchs-
32 - 2025-11-07230Oceanics-Sags-
34 - 2025-11-09251Oceanics-Admirals-
36 - 2025-11-11263Oceanics-Comets-
38 - 2025-11-13278Oceanics-Firebirds-
40 - 2025-11-15294Oceanics-Heat-
43 - 2025-11-18311Monsters-Oceanics-
46 - 2025-11-21333Caroline-Oceanics-
48 - 2025-11-23348Minnesota-Oceanics-
51 - 2025-11-26367Oceanics-Bears-
53 - 2025-11-28387Oceanics-Caroline-
54 - 2025-11-29397Oceanics-Jayhawks-
56 - 2025-12-01408Oceanics-Crunch-
58 - 2025-12-03422Oceanics-Rocket-
60 - 2025-12-05437Crunch-Oceanics-
61 - 2025-12-06450Oceanics-Oil Kings-
64 - 2025-12-09473Stars-Oceanics-
66 - 2025-12-11489Bruins-Oceanics-
68 - 2025-12-13503Bears-Oceanics-
70 - 2025-12-15516Senators-Oceanics-
72 - 2025-12-17531Oceanics-Chiefs-
74 - 2025-12-19546Oceanics-Monsters-
76 - 2025-12-21569Oceanics-Roadrunners-
82 - 2025-12-27594Minnesota-Oceanics-
84 - 2025-12-29609Oil Kings-Oceanics-
86 - 2025-12-31626Oceanics-Cougars-
87 - 2026-01-01634Oceanics-Marlies-
89 - 2026-01-03650Oceanics-Senators-
92 - 2026-01-06673Las Vegas-Oceanics-
94 - 2026-01-08690Oil Kings-Oceanics-
95 - 2026-01-09695Monarchs-Oceanics-
97 - 2026-01-11711Spiders-Oceanics-
99 - 2026-01-13732Sound Tigers-Oceanics-
101 - 2026-01-15744Oceanics-Minnesota-
103 - 2026-01-17762Marlies-Oceanics-
105 - 2026-01-19776Oceanics-Baby Hawks-
106 - 2026-01-20785Chiefs-Oceanics-
108 - 2026-01-22799Cabaret Lady Mary Ann-Oceanics-
110 - 2026-01-24815Cougars-Oceanics-
113 - 2026-01-27835Oceanics-Spiders-
115 - 2026-01-29847Oceanics-Thunder-
117 - 2026-01-31862Oceanics-Cabaret Lady Mary Ann-
119 - 2026-02-02882Oceanics-Stars-
121 - 2026-02-04895Rocket-Oceanics-
142 - 2026-02-25915Oceanics-Comets-
144 - 2026-02-27933Oceanics-Admirals-
146 - 2026-03-01950Oceanics-Sags-
148 - 2026-03-03964Baby Hawks-Oceanics-
150 - 2026-03-05980Thunder-Oceanics-
152 - 2026-03-07996Comets-Oceanics-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101022Admirals-Oceanics-
157 - 2026-03-121036Wolf Pack-Oceanics-
159 - 2026-03-141045Monsters-Oceanics-
160 - 2026-03-151057Chiefs-Oceanics-
162 - 2026-03-171071Jayhawks-Oceanics-
164 - 2026-03-191083Oceanics-Bruins-
166 - 2026-03-211099Oceanics-Manchots-
167 - 2026-03-221110Oceanics-Wolf Pack-
169 - 2026-03-241131Las Vegas-Oceanics-
171 - 2026-03-261145Monsters-Oceanics-
173 - 2026-03-281162Oceanics-Monsters-
176 - 2026-03-311186Oceanics-Baby Hawks-
178 - 2026-04-021198Oceanics-Stars-
180 - 2026-04-041215Oceanics-Monsters-
182 - 2026-04-061230Firebirds-Oceanics-
185 - 2026-04-091253Oceanics-Chiefs-
187 - 2026-04-111272Phantoms-Oceanics-
189 - 2026-04-131290Oceanics-Las Vegas-
190 - 2026-04-141297Oceanics-Roadrunners-
192 - 2026-04-161308Sags-Oceanics-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4520
Assistance4,1822,101
Assistance PCT69.70%70.03%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2094 - 69.81% 92,084$276,252$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
102,258$ 1,518,193$ 1,518,193$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,866$ 102,258$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,499,192$ 180 7,866$ 1,415,880$




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