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Oceanics
GP: 6 | W: 3 | L: 2 | OTL: 1 | P: 7
GF: 33 | GA: 25 | PP%: 36.36% | PK%: 76.47%
DG: Stéphane Gagné | Morale : 50 | Moyenne d’équipe : 62
Prochains matchs #120 vs Firebirds

Centre de jeu
Jayhawks
3-3-0, 6pts
1
FINAL
8 Oceanics
3-2-1, 7pts
Team Stats
L1SéquenceL1
1-1-0Fiche domicile2-0-1
2-2-0Fiche domicile1-2-0
3-3-0Derniers 10 matchs3-2-1
3.33Buts par match 5.50
5.50Buts contre par match 4.17
9.09%Pourcentage en avantage numérique36.36%
33.33%Pourcentage en désavantage numérique76.47%
Oceanics
3-2-1, 7pts
7
FINAL
8 Heat
3-3-1, 7pts
Team Stats
L1SéquenceW1
2-0-1Fiche domicile2-0-1
1-2-0Fiche domicile1-3-0
3-2-1Derniers 10 matchs3-3-1
5.50Buts par match 5.43
4.17Buts contre par match 5.14
36.36%Pourcentage en avantage numérique50.00%
76.47%Pourcentage en désavantage numérique75.00%
Firebirds
5-0-1, 11pts
2025-10-23
Oceanics
3-2-1, 7pts
Statistiques d’équipe
W3SéquenceL1
2-0-0Fiche domicile2-0-1
3-0-1Fiche visiteur1-2-0
5-0-110 derniers matchs3-2-1
6.33Buts par match 5.50
4.00Buts contre par match 5.50
52.38%Pourcentage en avantage numérique36.36%
70.59%Pourcentage en désavantage numérique76.47%
Heat
3-3-1, 7pts
2025-10-24
Oceanics
3-2-1, 7pts
Statistiques d’équipe
W1SéquenceL1
2-0-1Fiche domicile2-0-1
1-3-0Fiche visiteur1-2-0
3-3-110 derniers matchs3-2-1
5.43Buts par match 5.50
5.14Buts contre par match 5.50
50.00%Pourcentage en avantage numérique36.36%
75.00%Pourcentage en désavantage numérique76.47%
Roadrunners
2-4-0, 4pts
2025-10-26
Oceanics
3-2-1, 7pts
Statistiques d’équipe
W2SéquenceL1
2-1-0Fiche domicile2-0-1
0-3-0Fiche visiteur1-2-0
2-4-010 derniers matchs3-2-1
4.00Buts par match 5.50
6.17Buts contre par match 5.50
40.00%Pourcentage en avantage numérique36.36%
42.11%Pourcentage en désavantage numérique76.47%
Meneurs d'équipe
Buts
Glenn Gawdin
5
Passes
Glenn Gawdin
10
Points
Glenn Gawdin
15
Plus/Moins
Mike Hardman
5
Victoires
Colten Ellis
3
Pourcentage d’arrêts
Colten Ellis
0.872

Statistiques d’équipe
Buts pour
33
5.50 GFG
Tirs pour
226
37.67 Avg
Pourcentage en avantage numérique
36.4%
8 GF
Début de zone offensive
36.0%
Buts contre
25
4.17 GAA
Tirs contre
188
31.33 Avg
Pourcentage en désavantage numérique
76.5%%
4 GA
Début de la zone défensive
35.2%
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)C651015-2008122751118.52%112320.53167416000070156.34%21331012.4400000201
2Ross JohnstonOceanics (Win)LW/RW65712-54620863181516.13%011819.812577150000120066.67%1282002.0211211000
3Jeffrey VielOceanics (Win)LW64812-22820108134730.77%011118.55123215000030060.00%1063002.1600220000
4Emil LillebergOceanics (Win)D617812620171318445.56%915926.65134414000014010%079001.0000211000
5Philip BrobergOceanics (Win)D6167-300129256164.00%217629.47101519000016000%056000.7900000001
6Walker DuehrOceanics (Win)C/RW63253001082191214.29%212220.440000120003160048.89%4513000.8211000010
7Nic PetanOceanics (Win)C/LW/RW64042008491644.44%17111.9500000000020065.22%2321001.1200000020
8Parker WotherspoonOceanics (Win)D6224375419122416.67%212320.66101111000010100%042000.6500010000
9Mike HardmanOceanics (Win)LW62245002483325.00%38514.2000001000020066.67%322000.9400000001
10Brian HalonenOceanics (Win)LW631414045153420.00%16210.49000000000011100.00%120001.2700000010
11Marc GatcombOceanics (Win)C60445405315480%58013.4200000000000050.88%5711000.9900000000
12Juha JaaskaOceanics (Win)LW61231005411269.09%18313.870000110002500100.00%451000.7200000100
13Keaton MiddletonOceanics (Win)D611251959743425.00%611819.7110111000009000%023000.3400001000
14Will LockwoodOceanics (Win)RW6022000836260%07813.100001120000000100.00%221000.5100000001
15Riley Fiddler-SchultzOceanics (Win)C6022100437140%36210.4600000000000060.00%1010000.6400000000
16Max LajoieOceanics (Win)D6000000372530%28113.520000100012000%00400000000000
17Lian BichselOceanics (Win)D6000000622120%47512.530000000000000%00300000000000
18Noah LabaOceanics (Win)C/LW/RW3000-200410110%1289.380000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne10532568813134701271182266411614.16%43176416.80816242514300061052356.43%3815142011.0022653344
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)63210.8723.99346002317985001.000260000
2Samuel HlavajOceanics (Win)10000.7786.002000294000006000
Statistiques d’équipe totales ou en moyenne73210.8674.1036600251888900266000


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$259,689$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
1Heat1010000078-1000000000001010000078-100.000712190010715243726685546616185240.00%3233.33%07613755.47%7813458.21%6111055.45%132751245111057
2Jayhawks11000000817110000008170000000000021.000815230010715235726685520929226583.33%20100.00%07613755.47%7813458.21%6111055.45%132751245111057
3Monarchs1000010023-11000010023-10000000000010.500235001071522572668552651019200.00%50100.00%07613755.47%7813458.21%6111055.45%132751245111057
4Phantoms1010000037-4000000000001010000037-400.000358001071524172668553333422300.00%20100.00%07613755.47%7813458.21%6111055.45%132751245111057
5Sound Tigers10000010541000000000001000001054121.00057120010715243726685537141122200.00%3166.67%07613755.47%7813458.21%6111055.45%132751245111057
6Stars11000000826110000008260000000000021.000814220010715239726685526734254125.00%2150.00%07613755.47%7813458.21%6111055.45%132751245111057
Total62200110332583200010018612302000101519-470.5833356890010715222672668551884413412822836.36%17476.47%07613755.47%7813458.21%6111055.45%132751245111057
_Since Last GM Reset62200110332583200010018612302000101519-470.5833356890010715222672668551884413412822836.36%17476.47%07613755.47%7813458.21%6111055.45%132751245111057
_Vs Conference301001101014-41000010023-120100010811-330.50010152500107152109726685596225563700.00%10190.00%07613755.47%7813458.21%6111055.45%132751245111057

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
67L13356892261884413412800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62201103325
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3200100186
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
30200101519
Derniers 10 matchs
WLOTWOTL SOWSOL
320100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
22836.36%17476.47%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
7266855107152
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
7613755.47%7813458.21%6111055.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
132751245111057


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 - 2025-10-2096Oceanics7Heat8LSommaire du match
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
110,124$ 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$ 110,124$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,499,192$ 179 7,866$ 1,408,014$




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