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Connexion

Orcas
GP: 1 | W: 1 | L: 0 | OTL: 0 | P: 2
GF: 4 | GA: 3 | PP%: 0.00% | PK%: 100.00%
DG: Jason Karutz | Morale : 50 | Moyenne d’équipe : 79
Prochains matchs #17 vs Maulers

Centre de jeu
Orcas
1-0-0, 2pts
4
3 North Stars
0-0-1, 1pts
Team Stats
W1SéquenceOTL1
0-0-0Fiche domicile0-0-1
1-0-0Fiche visiteur0-0-0
1-0-0Derniers 10 matchs0-0-1
4.00Buts par match 3.00
3.00Buts contre par match 4.00
0.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique100.00%
Orcas
1-0-0, 2pts
2026-04-01
Maulers
0-0-1, 1pts
Statistiques d’équipe
W1SéquenceSOL1
0-0-0Fiche domicile0-0-1
1-0-0Fiche visiteur0-0-0
1-0-010 derniers matchs0-0-1
4.00Buts par match 4.00
3.00Buts contre par match 4.00
0.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique100.00%
Red Tails
1-0-0, 2pts
2026-04-02
Orcas
1-0-0, 2pts
Statistiques d’équipe
W1SéquenceW1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur1-0-0
1-0-010 derniers matchs1-0-0
4.00Buts par match 4.00
3.00Buts contre par match 4.00
20.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique100.00%
Trident
1-0-0, 2pts
2026-04-03
Orcas
1-0-0, 2pts
Statistiques d’équipe
W1SéquenceW1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur1-0-0
1-0-010 derniers matchs1-0-0
3.00Buts par match 4.00
1.00Buts contre par match 4.00
0.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Keegan Ramkema
1
Passes
Keegan Ramkema
2
Points
Keegan Ramkema
3
Plus/Moins
Wilhelm Norden
3
Victoires
Mangjeol Su-Cheol
1
Pourcentage d’arrêts
Mangjeol Su-Cheol
0.906

Statistiques d’équipe
Buts pour
4
4.00 GFG
Tirs pour
24
24.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
36.2%
Buts contre
3
3.00 GAA
Tirs contre
32
32.00 Avg
Pourcentage en désavantage numérique
100.0%%
0 GA
Début de la zone défensive
36.2%
Informations de l'équipe

Directeur généralJason Karutz
EntraîneurTadeas Spryner
DivisionPacific
ConférenceWestern Conference
CapitaineKeegan Ramkema
Assistant #1Reeti Tiitinen
Assistant #2Carey Griffiths


Informations de l’aréna

NomHooroo Arena
Capacité18,000
Assistance
Billets de saison7,200


Informations de la formation

Équipe Pro20
Équipe Mineure22
Limite Contrat42 / 55
Espoirs10


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible59,000,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel109,182,161$
Compte bancaire projeté109,182,161$


Historique d'équipe

Saison actuelle1-0-0 (2PTS)
Historique203-148-52 (0.504%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)26 - 24 (0.520%)
Coupe Stanley0


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
1Keegan Ramkema (C)0X100.0087707199809782975287988365395120508703236,166,263$
2Srebrenko Cvitanovic0X100.0094707480709374998686965957604317508303213,694,846$
3Justice Wang0X100.0092369284859760996487598554354257508202523,450,606$
4David Manno18X100.0085277085757360797395928558324165508102233,295,000$
5Jamal Gratton0X100.0096337181907270968487804590424942507902723,965,000$
6Mikko-Matti Forsblad0X100.008951679585565191718982816438932507903512,700,618$
7Leonard Bjorklund0X100.0078686894758551676395699372835024507803112,000,892$
8Jake Corbin0X100.004951619474785583658580688971522507503511,972,841$
9Antonio Macphedron0X100.0046308473556859938881759654874872507502242,250,000$
10Carsten Kerly (R)0X100.0086647386706760979845997466906960507502441,999,600$
11Noel Ottosson (R)0X100.0031367492597758825995946862376361507502452,566,068$
12Shayne Vallorani0X100.0056459988609064726580409752877433507402921,543,686$
13Reeti Tiitinen (A)0X100.0083379493667880952576779369666424508003134,986,000$
14Sixten Angstrom0X100.0099516198836568862560629752566430507902911,829,000$
15Carey Griffiths (A)0X100.0035947784878078962584389880398556507902542,240,924$
16Qi Chongkun0X100.0060468295879959942559659051555375507802111,000,000$
17Max Cooper (R)0X100.0079706277858578657071609164707275507801921,000,000$
18Wilhelm Norden0X100.0065497086909782592539759468934311507703312,342,151$
Rayé
MOYENNE D’ÉQUIPE100.00735275887681668659787583656059405079
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
1Mangjeol Su-Cheol0100.00736969839980988395537585519508003424,200,571$
2Jessey Tarasuk0100.005083849570619691875286526952507702423,335,600$
Rayé
MOYENNE D’ÉQUIPE100.0062767789857197879153816960315079
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tadeas Spryner72919959805747CAN4021,000,000$


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
1Keegan RamkemaOrcasRW11232002064316.67%02121.6300000000000025.00%410002.7700000100
2Reeti TiitinenOrcasD1022-100001000%02626.720000000006000%001001.5000000000
3Max CooperOrcasD111210012102100.00%01616.730000000006000%002002.3900000001
4Leonard BjorklundOrcasLW1011000222120%01414.200000000000000%010001.4100000000
5Srebrenko CvitanovicOrcasC11010003251120.00%02121.7300000000050153.33%1512000.9200000000
6Antonio MacphedronOrcasC1011000112000%01111.7300000000000050.00%1001001.7000000000
7Justice WangOrcasRW11011002223250.00%01919.430000100005100%410001.0300000000
8Noel OttossonOrcasRW1011000001110%01313.070000000000000%000001.5300000000
9Jamal GrattonOrcasLW1000000012010%01818.1800010000000050.00%20000000000000
10Shayne ValloraniOrcasRW1000000000000%000.550000000000000%00000000000000
11Sixten AngstromOrcasD1000-240310000%21919.450000000000000%00100000000000
12Wilhelm NordenOrcasD1000320010100%199.820000000000000%00000000000000
13Mikko-Matti ForsbladOrcasC1000020010000%088.7800001000000041.67%120100000000000
14David MannoOrcasLW1000020432000%32020.7000000000050050.00%20000000000000
15Carey GriffithsOrcasD1000-120030000%02323.680000100004000%00100000000000
16Carsten KerlyOrcasC1000000300120%01919.0300000000050046.15%130000000000000
17Qi ChongkunOrcasD1000000220000%22424.900000100005000%00300000000000
Statistiques d’équipe totales ou en moyenne1748123120232124121416.67%829017.08000190000471143.55%62412000.8300000101
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
1Mangjeol Su-CheolOrcas11000.9063.00600033219000010000
Statistiques d’équipe totales ou en moyenne11000.9063.0060003321900010000


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Antonio MacphedronOrcasC222006-06-26USANo179 Lbs5 ft6NoNoTrade2025-10-02NoNo42025-09-28FalseFalsePro & Farm2,250,000$2,250,000$2,250,000$No2,250,000$2,250,000$2,250,000$------2,250,000$2,250,000$2,250,000$------NoNoNo------
Carey GriffithsOrcasD252003-11-15CANNo209 Lbs6 ft2NoNoAssign ManuallyNoNo42025-09-28FalseFalsePro & Farm2,240,924$2,240,924$2,240,924$No2,240,924$2,240,924$2,240,924$------2,240,924$2,240,924$2,240,924$------NoNoNo------
Carsten KerlyOrcasC242004-11-05USAYes177 Lbs5 ft7NoNoDraftNoNo42026-05-03FalseFalsePro & Farm1,999,600$1,999,600$1,999,600$No1,999,600$1,999,600$1,999,600$------1,999,600$1,999,600$1,999,600$------NoNoNo------
David MannoOrcasLW222006-02-03CANNo179 Lbs5 ft5NoNoTrade2026-02-20NoNo32025-09-28FalseFalsePro & Farm3,295,000$3,295,000$3,295,000$No3,295,000$3,295,000$-------3,295,000$3,295,000$-------NoNo-------
Jake CorbinOrcasRW351993-08-23CANNo205 Lbs6 ft3NoNoAssign ManuallyNoNo12026-05-02FalseFalsePro & Farm1,972,841$1,972,841$1,972,841$No---------------------------
Jamal GrattonOrcasLW272001-07-25CANNo188 Lbs5 ft8NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm3,965,000$3,965,000$3,965,000$No3,965,000$--------3,965,000$--------No--------
Jessey TarasukOrcasG242004-11-02CANNo207 Lbs6 ft8NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm3,335,600$3,335,600$3,335,600$No3,335,600$--------3,335,600$--------No--------
Justice WangOrcasRW252003-04-23CANNo225 Lbs6 ft5NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm3,450,606$3,450,606$3,450,606$No3,450,606$--------3,450,606$--------No--------
Keegan RamkemaOrcasRW321996-11-13CANNo195 Lbs6 ft2NoNoN/ANoNo32026-05-03FalseFalsePro & Farm6,166,263$6,166,263$6,166,263$No6,166,263$6,166,263$-------6,166,263$6,166,263$-------NoNo-------
Leonard BjorklundOrcasLW311997-09-23SWENo219 Lbs6 ft5NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm2,000,892$2,000,892$2,000,892$No---------------------------
Mangjeol Su-CheolOrcasG341994-08-28KORNo217 Lbs6 ft1NoNoAssign ManuallyNoNo22026-05-02FalseFalsePro & Farm4,200,571$4,200,571$4,200,571$No4,200,571$--------4,200,571$--------No--------
Max CooperOrcasD192009-07-18GERYes226 Lbs6 ft8NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm1,000,000$1,000,000$1,000,000$No1,000,000$--------1,000,000$--------No--------
Mikko-Matti ForsbladOrcasC351993-07-21FINNo188 Lbs5 ft7NoNoAssign ManuallyNoNo12026-05-03FalseFalsePro & Farm2,700,618$2,700,618$2,700,618$No---------------------------
Noel OttossonOrcasRW242004-04-05SWEYes180 Lbs6 ft1NoNoFree AgentNoNo52026-05-03FalseFalsePro & Farm2,566,068$2,566,068$2,566,068$No2,566,068$2,566,068$2,566,068$2,566,068$-----2,566,068$2,566,068$2,566,068$2,566,068$-----NoNoNoNo-----
Qi ChongkunOrcasD212007-05-23CHNNo183 Lbs5 ft11NoNoDraftNoNo12025-02-25FalseFalsePro & Farm1,000,000$1,000,000$1,000,000$No---------------------------
Reeti TiitinenOrcasD311997-12-25FINNo198 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-28FalseFalsePro & Farm4,986,000$4,986,000$4,986,000$No4,986,000$4,986,000$-------4,986,000$4,986,000$-------NoNo-------
Shayne ValloraniOrcasRW291999-05-10CANNo165 Lbs5 ft8NoNoFree AgentNoNo22024-07-11FalseFalsePro & Farm1,543,686$1,543,686$1,543,686$No1,543,686$--------1,543,686$--------No--------
Sixten AngstromOrcasD291999-06-16SWENo169 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,829,000$1,829,000$1,829,000$No---------------------------
Srebrenko CvitanovicOrcasC321996-10-18CRONo184 Lbs5 ft5NoNoN/ANoNo1FalseFalsePro & Farm3,694,846$3,694,846$3,694,846$No---------------------------
Wilhelm NordenOrcasD331995-10-03SWENo169 Lbs5 ft10NoNoAssign ManuallyNoNo12026-05-03FalseFalsePro & Farm2,342,151$2,342,151$2,342,151$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2027.70193 Lbs6 ft02.252,826,983$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
56,539,666$40,999,318$23,503,855$9,056,592$2,566,068$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1David MannoSrebrenko CvitanovicKeegan Ramkema35023
2Jamal GrattonAntonio MacphedronJustice Wang25122
3Leonard BjorklundCarsten KerlyNoel Ottosson22122
4Jamal GrattonMikko-Matti ForsbladKeegan Ramkema18032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reeti TiitinenSixten Angstrom38041
2Carey GriffithsQi Chongkun35041
3Max CooperWilhelm Norden22050
4Qi ChongkunReeti Tiitinen5041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jamal GrattonSrebrenko CvitanovicKeegan Ramkema50005
2David MannoMikko-Matti ForsbladJustice Wang50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reeti TiitinenSixten Angstrom50014
2Qi ChongkunCarey Griffiths50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Srebrenko CvitanovicDavid Manno50140
2Carsten KerlyJustice Wang50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Qi ChongkunReeti Tiitinen50140
2Carey GriffithsMax Cooper50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mikko-Matti Forsblad50140Sixten AngstromCarey Griffiths50140
2Srebrenko Cvitanovic50140Reeti TiitinenQi Chongkun50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Srebrenko CvitanovicKeegan Ramkema50023
2Justice WangJamal Gratton50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reeti TiitinenCarey Griffiths52032
2Sixten AngstromMax Cooper48032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jamal GrattonSrebrenko CvitanovicKeegan RamkemaReeti TiitinenCarey Griffiths
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justice WangSrebrenko CvitanovicKeegan RamkemaReeti TiitinenSixten Angstrom
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Keegan Ramkema, Srebrenko Cvitanovic, Jamal GrattonKeegan Ramkema, Srebrenko CvitanovicMikko-Matti Forsblad
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Reeti Tiitinen, Sixten Angstrom, Carey GriffithsReeti TiitinenReeti Tiitinen, Carey Griffiths
Tirs de pénalité
Jamal Gratton, Justice Wang, Jake Corbin, Leonard Bjorklund, Carey Griffiths
Gardien
#1 : Mangjeol Su-Cheol, #2 : Jessey Tarasuk
Lignes d’attaque personnalisées en prolongation
Keegan Ramkema, Justice Wang, Jamal Gratton, Srebrenko Cvitanovic, David Manno, Antonio Macphedron, Mikko-Matti Forsblad, Noel Ottosson, Carsten Kerly, Jake Corbin
Lignes de défense personnalisées en prolongation
Reeti Tiitinen, Sixten Angstrom, Carey Griffiths, Qi Chongkun, Max Cooper


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
TotalDomicile Visiteur
# 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 RI
1North Stars10001000431000000000001000100043121.00048120011112467923281223100.00%60100.00%0102147.62%102147.62%71643.75%1892410178R1
Total10001000431000000000001000100043121.00048120011112467923281223100.00%60100.00%0102147.62%102147.62%71643.75%1892410178
_Since Last GM Reset10001000431000000000001000100043121.00048120011112467923281223100.00%60100.00%0102147.62%102147.62%71643.75%1892410178

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
12W1481224328122300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
100100043
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
100100043
Derniers 10 matchs
WLOTWOTL SOWSOL
100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
100.00%60100.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
67921111
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
102147.62%102147.62%71643.75%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1892410178


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2026-03-312Orcas4North Stars3WXR1Sommaire du match
2 - 2026-04-0117Orcas-Maulers-
3 - 2026-04-0228Red Tails-Orcas-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
4 - 2026-04-0341Trident-Orcas-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets110654030200
Assistance0%0%0%0%0%
Attendance PCT0%0%0%0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
2 0 - 0%0$0$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 56,539,666$ 56,539,666$ 1,000,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 3 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 109,182,161$ 109,182,161$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 59,000,000$ 59,000,000$ -26,000,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
David MannoAGE:22PO:65OV:81
Jamal GrattonAGE:27PO:42OV:79
Darian GoebelAGE:24PO:63OV:78
Leonard BjorklundAGE:31PO:24OV:78
Silvio Schmidt (R)AGE:22PO:69OV:75
Valery Vladimirov (R)AGE:22PO:71OV:71
Srebrenko CvitanovicAGE:32PO:17OV:83
Mikko-Matti ForsbladAGE:35PO:2OV:79
Benjamin JouleAGE:30PO:25OV:78
Antonio MacphedronAGE:22PO:72OV:75
Carsten Kerly (R)AGE:24PO:60OV:75
Ora-Antti SelanneAGE:29PO:34OV:74
Luca SyvapuroAGE:32PO:17OV:74
Ruslan YerakovAGE:33PO:10OV:73
Venyamin Pashnin (R)AGE:24PO:64OV:70
Keegan RamkemaAGE:32PO:20OV:87
Justice WangAGE:25PO:57OV:82
Noel Ottosson (R)AGE:24PO:61OV:75
Keane Mackee (R)AGE:23PO:60OV:75
Dunmore HeckmanAGE:30PO:33OV:75
Jake CorbinAGE:35PO:2OV:75
Shayne ValloraniAGE:29PO:33OV:74
Gennady Roshchin (R)AGE:22PO:73OV:71

Défense #1Défense #2Gardien
Reeti TiitinenAGE:31PO:24OV:80
Carey GriffithsAGE:25PO:56OV:79
Sixten AngstromAGE:29PO:30OV:79
Qi ChongkunAGE:21PO:75OV:78
Max Cooper (R)AGE:19PO:75OV:78
Wilhelm NordenAGE:33PO:11OV:77
Vilem ZavorkaAGE:31PO:22OV:76
Jessie BurgdoerferAGE:33PO:11OV:76
Quinton SchlosserAGE:37PO:1OV:76
Tristan Berger (R)AGE:21PO:78OV:71
Ari-Jukka KariniemiAGE:29PO:33OV:71
Kaj SandellAGE:40PO:1OV:70
Georghiu DragoiAGE:35PO:10OV:69
Chris MatheyAGE:35PO:3OV:69
Norihisa Kakuta (R)AGE:23PO:62OV:68
Mangjeol Su-CheolAGE:34PO:9OV:80
Innis KnoxAGE:37PO:1OV:80
Jessey TarasukAGE:24PO:52OV:77
Valeryy LyasyukAGE:30PO:38OV:74

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Aleksi EklundOrcas6122
Ben HeidrichOrcas595
Crister HogdahlOrcas670
Denis BaranovOrcas5119
Edvard HaugenOrcas675
Erik MortensenOrcas644
Jan KriselndenOrcas5116
Kai BoutetOrcas430
Richard KockaOrcas571
Vojtech PavlovecOrcas618

Choix au repêchage

Année R1R2R3R4R5
7
8
9
10
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Orcas Historique de transactions

[6/8/2026 8:15:37 AM] Yefim Repetsky was released.
[6/8/2026 8:15:37 AM] Orcas paid $1,400,000 to release Yefim Repetsky.
[6/8/2026 8:15:28 AM] Baron Knowles was released.
[6/8/2026 8:15:28 AM] Orcas paid $1,130,000 to release Baron Knowles.
[6/8/2026 8:15:20 AM] Adler Malley was released.
[6/8/2026 8:15:20 AM] Orcas paid $1,560,000 to release Adler Malley.
[6/8/2026 8:15:07 AM] Leon Christensen was released.
[6/8/2026 8:15:07 AM] Orcas paid $3,093,982 to release Leon Christensen.



Pas de blessure ou de suspension.


Orcas 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
1Keegan Ramkema3932021973999377730492157712.81%216760519.352637631170000391436.49%51.05835
2Srebrenko Cvitanovic37613021434439248745638120010.83%166729619.411547628963928171250.56%10.9435
3Mikko-Matti Forsblad3461111372481315365447295511.62%143522515.103151828213816943.09%10.9515
4Justice Wang31589125214-142451846986210.32%141552617.5413243753404209837.13%10.7706
5Jamal Gratton35085109194-21416992698789.68%108559015.979101935101512648.15%30.6928

Orcas 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
1Mangjeol Su-Cheol23812188260.9192.8513937344663823438321160.60065
2Jessey Tarasuk1075635110.9133.0762792032137092192600.78041
3Yefim Rogozhkin39151350.9093.312175201201315799310.57114
4Vladislav Stasenko2891070.9033.63160321971000590100.52917
5Ferdinand Godbey52200.9142.932660013151702000

Orcas 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
Saison régulière
1802730056662622584401611032351381221640111902431124136-12882624166780079829019275890491489488295697248617601583421.52%1172281.20%2881178349.41%860177648.42%635124351.09%1729103317756911379694
28038260633428424638401614041231421261640221202211142120221012844767605171104100122676909915826492848100157318951593320.75%1132379.65%7826177446.56%845185545.55%586127446.00%1722101517426861388712
380263205818228252-244017130231412211844091903504106134-2880228368596125486828254283485481665290294966217411562817.95%1601988.13%1769171744.79%859186845.99%537116845.98%166795717927071413716
480353104442246244240171602230112116-4401815022121341286922464006461160869213249275785985544288190866418061453725.52%1943184.02%2731168243.46%831185344.85%507114644.24%165696118167061371682
580332908424261245164014160421312812264019130421113312310942614226830170928913267788388688448282991768017711342115.67%1964079.59%4890179049.72%871180448.28%594117350.64%1710101617606991376683
Total Saison régulière400159148028251624128112453620080700151010156426043820079780131569639641-24551281208233637533445045365131454287442842752941441647473065897375215320.35%78013582.69%164097874646.84%4266915646.59%2859600447.62%848649858886349169293489
Séries éliminatoires
21257000003044-14633000001723-6624000001321-8103052820071193415142123130204821707331132515.63%14378.57%011929640.20%10930435.86%5416532.73%268162278104209105
42715120000088853138500000443591477000004450-630881482361122362558392492872634098037622158133618.18%781087.18%123256341.21%29670042.29%19641247.57%566322626246488243
5116500000292906510000015105514000001419-512294877011010813361191189453901268322815426.67%29582.76%313525453.15%14828851.39%8016448.78%22813525210018791
Total Séries éliminatoires50262400000147158-11251690000076688251015000007190-195214724839512395742915905105284876518526723771120801518.75%1211885.12%4486111343.67%553129242.80%33074144.53%10646191157450886440

Orcas 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
1Keegan Ramkema502926550291037222512.89%28102320.476171000002032.14%01.0700
2Justice Wang50162541-12936511813.56%3398619.73145310142135.17%00.8300
3Srebrenko Cvitanovic501522372241168613710.95%19102420.49066700052146.52%00.7200
4Mikko-Matti Forsblad50161531-724906913012.31%3178615.74123110132239.50%10.7900
5Leonard Bjorklund50111627-1250856110410.58%1376715.34000000002236.67%00.7000

Orcas 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
1Mangjeol Su-Cheol43211740.9133.0825942113315377091100
2Jessey Tarasuk105300.9242.8350901243141841000