Please rotate your device to landscape mode for a better experience.
Connexion

Seattle Kraken
GP: 3 | W: 2 | L: 1 | OTL: 0 | P: 4
GF: 14 | GA: 9 | PP%: 85.71% | PK%: 83.33%
DG: Jean-François Loyer | Morale : 51 | Moyenne d’équipe : 77
Prochains matchs #46 vs Edmonton Oilers

Centre de jeu
Calgary Flames
1-2-0, 2pts
1
FINAL
6 Seattle Kraken
2-1-0, 4pts
Team Stats
W1SéquenceL1
0-1-0Fiche domicile1-0-0
1-1-0Fiche visiteur1-1-0
1-2-0Derniers 10 matchs2-1-0
2.33Buts par match 4.67
4.00Buts contre par match 3.00
10.00%Pourcentage en avantage numérique85.71%
28.57%Pourcentage en désavantage numérique83.33%
Seattle Kraken
2-1-0, 4pts
4
FINAL
8 San Jose Sharks
3-0-0, 6pts
Team Stats
L1SéquenceW3
1-0-0Fiche domicile2-0-0
1-1-0Fiche visiteur1-0-0
2-1-0Derniers 10 matchs3-0-0
4.67Buts par match 5.00
3.00Buts contre par match 2.33
85.71%Pourcentage en avantage numérique30.00%
83.33%Pourcentage en désavantage numérique66.67%
Seattle Kraken
2-1-0, 4pts
Jour 5
Edmonton Oilers
2-0-0, 4pts
Statistiques d’équipe
L1SéquenceW2
1-0-0Fiche domicile1-0-0
1-1-0Fiche visiteur1-0-0
2-1-010 derniers matchs2-0-0
4.67Buts par match 7.00
3.00Buts contre par match 7.00
85.71%Pourcentage en avantage numérique28.57%
83.33%Pourcentage en désavantage numérique71.43%
Edmonton Oilers
2-0-0, 4pts
Jour 7
Seattle Kraken
2-1-0, 4pts
Statistiques d’équipe
W2SéquenceL1
1-0-0Fiche domicile1-0-0
1-0-0Fiche visiteur1-1-0
2-0-010 derniers matchs2-1-0
7.00Buts par match 4.67
4.00Buts contre par match 4.67
28.57%Pourcentage en avantage numérique85.71%
71.43%Pourcentage en désavantage numérique83.33%
Vancouver Canucks
2-1-0, 4pts
Jour 9
Seattle Kraken
2-1-0, 4pts
Statistiques d’équipe
L1SéquenceL1
1-1-0Fiche domicile1-0-0
1-0-0Fiche visiteur1-1-0
2-1-010 derniers matchs2-1-0
3.33Buts par match 4.67
3.33Buts contre par match 4.67
38.46%Pourcentage en avantage numérique85.71%
80.00%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Adam HenriqueButs
Adam Henrique
2
Filip HronekPasses
Filip Hronek
5
Adam HenriquePoints
Adam Henrique
6
Troy TerryPlus/Moins
Troy Terry
1
Thatcher DemkoVictoires
Thatcher Demko
2
Thatcher DemkoPourcentage d’arrêts
Thatcher Demko
0.881

Statistiques d’équipe
Buts pour
14
4.67 GFG
Tirs pour
73
24.33 Avg
Pourcentage en avantage numérique
85.7%
6 GF
Début de zone offensive
43.4%
Buts contre
9
3.00 GAA
Tirs contre
55
18.33 Avg
Pourcentage en désavantage numérique
83.3%%
1 GA
Début de la zone défensive
33.5%
Informations de l'équipe

Directeur généralJean-François Loyer
EntraîneurRyan Smyth
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomClimate Pledge Arena
Capacité19,000
Assistance0
Billets de saison17,670


Informations de la formation

Équipe Pro21
Équipe Mineure24
Limite contact 45 / 60
Espoirs9


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible95,500,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel20,000,000$
Compte bancaire projeté20,000,000$


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 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
1Robert ThomasX100.006541848484918790829080788476720528202658,125,000$
2Dylan StromeX100.006542808081878990808684728482720528002833,750,000$
3Adam HenriqueXXX100.007245868176869481837676817990800527903513,000,000$
4Drake BathersonXX100.007842777983898789548383718476660527902724,975,000$
5Kirill MarchenkoX100.007142918684877989518084738659500527802523,850,000$
6Troy TerryXX100.006542888177888888498179708379690527802857,000,000$
7Warren FoegeleXX100.007546808182868787517779778279690527802923,500,000$
8Jordan MartinookX100.007342847580869182557775767885810527703323,050,000$
9Valeri NichushkinXX100.006842867584908783437581718087770527703056,125,000$
10Keegan KolesarX100.008879707584838577507471747473630527402832,500,000$
11Noel AcciariX100.008242917680848972826666807184740527403312,000,000$
12Dakota JoshuaXXX100.008767697483858274547071737368580527302933,250,000$
13Zach WerenskiX100.006551828885928792408683898882780528302839,583,333$
14Connor CliftonX100.008363698577858774407565917476660527903013,333,333$
15Trevor van RiemsdykX100.006543827979869176407663897285750527803413,000,000$
16Vince DunnX100.006758708179898686408079768279690527802827,350,000$
17Filip HronekX100.007041728177938582438169797776660527702757,250,000$
18Kevin BahlX100.007558717492908375407365827168580527602555,350,000$
Rayé
1Shane WrightXX100.00684083797474717559777671755650047720212886,667$
Équipe Mineure
1Cameron HughesX100.00574763686069686645656263655751054630282775,000$
2Ethan CardwellX100.00624465686364626544645862645050054620231867,500$
3Rory KerinsX100.00614173706364626462626260655150054620231775,000$
4Ty MuellerX100.00624167676162616255625764625050054610222870,000$
5Aleksanteri KaskimakiX100.00594068626261606142615756605050054590212870,000$
6Adam SykoraX100.00564074655960586343615552615050054580212806,667$
7Louis CrevierX100.00654081709183676840616371675550054690242900,000$
8Ryan SheaX100.00624079738282676840626372685650054680281900,000$
9Jack AhcanX100.00554370715870686740655669645750054640281775,000$
10Avery HayesX100.005944666959626062425859596350500476002200$
11Josh DunneX100.00654466626966646157585460595450047600261775,000$
12Lukas RousekX100.005643696660686762446554596154500476002600$
13Matthew BarboliniXXX100.006342666166646257415452585752500475802500$
14Dans LocmelisXXX100.006040626261585657415554585850500475702100$
15Jake LivingstoneX100.006643686670696562405756686153500476302600$
16Filip RoosX100.005943686564676561406051645954500476102600$
17Gavin WhiteX100.00614072666363615940555365595050047610221857,500$
18Samuel KnazkoX100.006141746565636161405754616050500476002300$
19Dawson BarteauxX100.005841706562636158405552615852500475902500$
20Justin LeeX100.006041656261615856405453635752500475902500$
MOYENNE D’ÉQUIPE100.0066457473737674724969657070645905169
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
1Thatcher Demko100.00878686798885848483877979720487802945,000,000$
2Alex Lyon100.00838586788784798282857979720537703221,500,000$
Rayé
Équipe Mineure
1Domenic DiVincentiis100.0067616265656668666664565050055600212830,556$
2Damian Clara100.0058575769605756545758545050055540202878,333$
3Ruslan Khazheyev100.0062585865626162596260565050048570202845,000$
4Ryan Fanti100.0060545360575757555757505350048530251775,000$
MOYENNE D’ÉQUIPE100.007067676970686867686962605705163
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Smyth1111111CAN4951$


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
1Adam HenriqueSeattle KrakenC/LW/RW3246-1203352540.00%14615.5814524000040043.48%4600002.5700000100
2Filip HronekSeattle KrakenD31560005341025.00%86421.631232300002000%000001.8500000001
3Robert ThomasSeattle KrakenC31451002911149.09%16020.1912314000000056.72%6700001.6500000010
4Warren FoegeleSeattle KrakenLW/RW3224-1004351340.00%04515.1600000000050066.67%300001.7600000000
5Drake BathersonSeattle KrakenLW/RW31231406293511.11%05016.7611233000000040.00%500001.1900000001
6Dylan StromeSeattle KrakenC31231000382612.50%05217.5302203000001052.73%5500001.1400000000
7Kirill MarchenkoSeattle KrakenRW31121005470414.29%15919.6700024000001033.33%300000.6800000000
8Troy TerrySeattle KrakenLW/RW32021002540450.00%06120.5210123000010042.86%700000.6500000000
9Vince DunnSeattle KrakenD3022000041010%46321.120000400006000%000000.6300000000
10Zach WerenskiSeattle KrakenD31120002651220.00%46822.830003300004000%000000.5800000000
11Connor CliftonSeattle KrakenD30110201122300%25719.140000000004000%000000.3500000010
12Jordan MartinookSeattle KrakenLW3101-10042100100.00%13712.5900000000000050.00%200000.5300000000
13Kevin BahlSeattle KrakenD30110401611010%14615.510000000000000%000000.4300000000
14Valeri NichushkinSeattle KrakenLW/RW31011205350020.00%15016.8110113000000042.86%700000.4000000000
15Dakota JoshuaSeattle KrakenC/LW/RW3000-100322000%0237.850000000005000%10000000000000
16Keegan KolesarSeattle KrakenRW3000-100010010%0175.9400000000000033.33%30000000000000
17Noel AcciariSeattle KrakenC3000-100041010%0237.8500000000050040.91%220000000000000
18Trevor van RiemsdykSeattle KrakenD3000020022010%05418.200000000004000%00000000000000
Statistiques d’équipe totales ou en moyenne541425390160685973143819.18%2488416.386111716390000442049.32%22100000.8800000122
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
1Thatcher DemkoSeattle Kraken32000.8812.04147015420000030100
2Alex LyonSeattle Kraken10100.6927.5032004130000003000
Statistiques d’équipe totales ou en moyenne42100.8363.0018001955000033100


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 Salaire restantPlafond 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
Adam HenriqueSeattle KrakenC/LW/RW351990-02-06CANNo195 Lbs6 ft0NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm3,000,000$3,000,000$3,000,000$3,000,000$No---------------------------Lien NHL
Alex LyonSeattle KrakenG321992-12-09USANo196 Lbs6 ft1NoNoAssign ManuallyNoYes22025-07-02FalseFalsePro & Farm1,500,000$1,500,000$1,500,000$1,500,000$No1,500,000$--------1,500,000$--------No--------Lien NHL
Connor CliftonSeattle KrakenD301995-04-28USANo195 Lbs5 ft11NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm3,333,333$3,333,333$3,333,333$3,333,333$No---------------------------Lien NHL
Dakota JoshuaSeattle KrakenC/LW/RW291996-05-15USANo206 Lbs6 ft3NoNoAssign ManuallyNoYes32025-05-26FalseFalsePro & Farm3,250,000$3,250,000$3,250,000$3,250,000$No3,250,000$3,250,000$-------3,250,000$3,250,000$-------NoNo-------Lien NHL
Drake BathersonSeattle KrakenLW/RW271998-04-27USANo200 Lbs6 ft3NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm4,975,000$4,975,000$4,975,000$4,975,000$No4,975,000$--------4,975,000$--------No--------Lien NHL
Dylan StromeSeattle KrakenC281997-03-07CANNo196 Lbs6 ft3NoNoTrade2025-07-26NoNo32025-07-26FalseFalsePro & Farm3,750,000$3,750,000$3,750,000$3,750,000$No3,750,000$3,750,000$-------3,750,000$3,750,000$-------NoNo-------Lien NHL
Filip HronekSeattle KrakenD271997-11-02CZENo190 Lbs6 ft0NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm7,250,000$7,250,000$7,250,000$7,250,000$No7,250,000$7,250,000$7,250,000$7,250,000$-----7,250,000$7,250,000$7,250,000$7,250,000$-----NoNoNoNo-----Lien NHL
Jordan MartinookSeattle KrakenLW331992-07-25CANNo208 Lbs6 ft1NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm3,050,000$3,050,000$3,050,000$3,050,000$No3,050,000$--------3,050,000$--------No--------Lien NHL
Keegan KolesarSeattle KrakenRW281997-04-08CANNo216 Lbs6 ft2NoNoAssign ManuallyNoNo32025-06-29FalseFalsePro & Farm2,500,000$2,500,000$2,500,000$2,500,000$No2,500,000$2,500,000$-------2,500,000$2,500,000$-------NoNo-------Lien NHL
Kevin BahlSeattle KrakenD252000-06-27CANNo230 Lbs6 ft6NoNoAssign ManuallyNoNo52025-06-29FalseFalsePro & Farm5,350,000$5,350,000$5,350,000$5,350,000$No5,350,000$5,350,000$5,350,000$5,350,000$-----5,350,000$5,350,000$5,350,000$5,350,000$-----NoNoNoNo-----Lien NHL
Kirill MarchenkoSeattle KrakenRW252000-07-21RUSNo197 Lbs6 ft3NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm3,850,000$3,850,000$3,850,000$3,850,000$No3,850,000$--------3,850,000$--------No--------Lien NHL
Noel AcciariSeattle KrakenC331991-12-01USANo209 Lbs5 ft11NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm2,000,000$2,000,000$2,000,000$2,000,000$No---------------------------Lien NHL
Robert ThomasSeattle KrakenC261999-07-02CANNo207 Lbs6 ft0NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,125,000$8,125,000$8,125,000$8,125,000$No8,125,000$8,125,000$8,125,000$8,125,000$-----8,125,000$8,125,000$8,125,000$8,125,000$-----NoNoNoNo-----Lien NHL
Shane WrightSeattle KrakenC/LW212004-01-05CANNo192 Lbs6 ft0NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm886,667$886,667$886,667$886,667$No886,667$--------886,667$--------No--------Lien NHL
Thatcher DemkoSeattle KrakenG291995-12-08USANo192 Lbs6 ft4NoNoAssign ManuallyNoNo42025-07-02FalseFalsePro & Farm5,000,000$5,000,000$5,000,000$5,000,000$No8,500,000$5,000,000$8,500,000$------8,500,000$8,500,000$8,500,000$------NoNoNo------Lien NHL
Trevor van RiemsdykSeattle KrakenD341991-07-24USANo197 Lbs6 ft3NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm3,000,000$3,000,000$3,000,000$3,000,000$No---------------------------
Troy TerrySeattle KrakenLW/RW281997-09-10USANo191 Lbs6 ft0NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm7,000,000$7,000,000$7,000,000$7,000,000$No7,000,000$7,000,000$7,000,000$7,000,000$-----7,000,000$7,000,000$7,000,000$7,000,000$-----NoNoNoNo-----Lien NHL
Valeri NichushkinSeattle KrakenLW/RW301995-03-04RUSNo210 Lbs6 ft4NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm6,125,000$6,125,000$6,125,000$6,125,000$No6,125,000$6,125,000$6,125,000$6,125,000$-----6,125,000$6,125,000$6,125,000$6,125,000$-----NoNoNoNo-----Lien NHL
Vince DunnSeattle KrakenD281996-10-29CANNo200 Lbs6 ft0NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm7,350,000$7,350,000$7,350,000$7,350,000$No7,350,000$--------7,350,000$--------No--------Lien NHL
Warren FoegeleSeattle KrakenLW/RW291996-04-01CANNo204 Lbs6 ft2NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm3,500,000$3,500,000$3,500,000$3,500,000$No3,500,000$--------3,500,000$--------No--------Lien NHL
Zach WerenskiSeattle KrakenD281997-07-19USANo211 Lbs6 ft2NoNoAssign ManuallyNoNo32025-05-26FalseFalsePro & Farm9,583,333$9,583,333$9,583,333$9,583,333$No9,583,333$9,583,333$-------9,583,333$9,583,333$-------NoNo-------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2128.81202 Lbs6 ft22.814,494,206$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
94,378,333$86,545,000$57,933,333$42,350,000$33,850,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Troy TerryRobert ThomasKirill Marchenko35122
2Valeri NichushkinDylan StromeDrake Batherson30122
3Jordan MartinookAdam HenriqueWarren Foegele25131
4Dakota JoshuaNoel AcciariKeegan Kolesar10410
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WerenskiFilip Hronek38122
2Connor CliftonVince Dunn33122
3Trevor van RiemsdykKevin Bahl29122
4Trevor van RiemsdykConnor Clifton0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drake BathersonRobert ThomasKirill Marchenko60104
2Troy TerryDylan StromeValeri Nichushkin40104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WerenskiVince Dunn65122
2Filip HronekAdam Henrique35122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam HenriqueWarren Foegele50122
2Noel AcciariDakota Joshua50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WerenskiConnor Clifton50122
2Trevor van RiemsdykVince Dunn50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Robert Thomas50122Zach WerenskiConnor Clifton50122
2Dylan Strome50122Trevor van RiemsdykVince Dunn50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Robert ThomasDrake Batherson50122
2Dylan StromeTroy Terry50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WerenskiConnor Clifton50122
2Trevor van RiemsdykVince Dunn50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drake BathersonRobert ThomasAdam HenriqueZach WerenskiConnor Clifton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drake BathersonRobert ThomasAdam HenriqueZach WerenskiConnor Clifton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Troy Terry, Warren Foegele, Kirill MarchenkoTroy Terry, Warren FoegeleTroy Terry
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vince Dunn, Filip Hronek, Kevin BahlVince DunnVince Dunn, Filip Hronek
Tirs de pénalité
Robert Thomas, Dylan Strome, Adam Henrique, Drake Batherson, Troy Terry
Gardien
#1 : Thatcher Demko, #2 : Alex Lyon
Lignes d’attaque personnalisées en prolongation
Robert Thomas, Dylan Strome, Adam Henrique, Drake Batherson, Troy Terry, Warren Foegele, Kirill Marchenko, Valeri Nichushkin, Jordan Martinook, Keegan Kolesar
Lignes de défense personnalisées en prolongation
Zach Werenski, Connor Clifton, Trevor van Riemsdyk, Vince Dunn, Filip Hronek


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
1Calgary Flames220000001019110000006151100000040441.0001019290134305219171602710103944100.00%30100.00%0509652.08%337444.59%265150.98%523943122312
2San Jose Sharks1010000048-4000000000001010000048-400.0004610000310213108028146293266.67%3166.67%0509652.08%337444.59%265150.98%2014287115
Total321000001495110000006152110000088040.667142539013740732227240552416687685.71%6183.33%0509652.08%337444.59%265150.98%735372203417
_Since Last GM Reset321000001495110000006152110000088040.667142539013740732227240552416687685.71%6183.33%0509652.08%337444.59%265150.98%735372203417
_Vs Conference321000001495110000006152110000088040.667142539013740732227240552416687685.71%6183.33%0509652.08%337444.59%265150.98%735372203417
_Vs Division321000001495110000006152110000088040.667142539013740732227240552416687685.71%6183.33%0509652.08%337444.59%265150.98%735372203417

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
34L1142539735524166801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3210000149
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000061
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000088
Derniers 10 matchs
WLOTWOTL SOWSOL
210000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
7685.71%6183.33%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
22272403740
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
509652.08%337444.59%265150.98%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
735372203417


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
18Seattle Kraken4Calgary Flames0WSommaire du match
323Calgary Flames1Seattle Kraken6WSommaire du match
436Seattle Kraken4San Jose Sharks8LSommaire du match
546Seattle Kraken-Edmonton Oilers-
762Edmonton Oilers-Seattle Kraken-
984Vancouver Canucks-Seattle Kraken-
1095Seattle Kraken-Anaheim Ducks-
13114Seattle Kraken-Los Angeles Kings-
14128Vegas Golden Knights-Seattle Kraken-
16140Seattle Kraken-Vegas Golden Knights-
17156San Jose Sharks-Seattle Kraken-
21180Los Angeles Kings-Seattle Kraken-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
24199Seattle Kraken-Vancouver Canucks-
26213Anaheim Ducks-Seattle Kraken-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040002000
Prix des billets90604530190
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 0 - 0.00% 0$0$19000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 94,378,333$ 94,378,333$ 1$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 24 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 20,000,000$ 20,000,000$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 95,500,000$ 95,500,000$ -70,600,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Adam HenriqueAGE:35PO:0OV:79
Drake BathersonAGE:27PO:0OV:79
Troy TerryAGE:28PO:0OV:78
Warren FoegeleAGE:29PO:0OV:78
Jordan MartinookAGE:33PO:0OV:77
Valeri NichushkinAGE:30PO:0OV:77
Dakota JoshuaAGE:29PO:0OV:73
Shane WrightAGE:21PO:0OV:72
Adam SykoraAGE:21PO:0OV:58
Matthew BarboliniAGE:25PO:0OV:58
Dans LocmelisAGE:21PO:0OV:57
Robert ThomasAGE:26PO:0OV:82
Dylan StromeAGE:28PO:0OV:80
Adam HenriqueAGE:35PO:0OV:79
Noel AcciariAGE:33PO:0OV:74
Dakota JoshuaAGE:29PO:0OV:73
Shane WrightAGE:21PO:0OV:72
Cameron HughesAGE:28PO:0OV:63
Rory KerinsAGE:23PO:0OV:62
Ty MuellerAGE:22PO:0OV:61
Josh DunneAGE:26PO:0OV:60
Aleksanteri KaskimakiAGE:21PO:0OV:59
Matthew BarboliniAGE:25PO:0OV:58
Dans LocmelisAGE:21PO:0OV:57
Adam HenriqueAGE:35PO:0OV:79
Drake BathersonAGE:27PO:0OV:79
Kirill MarchenkoAGE:25PO:0OV:78
Troy TerryAGE:28PO:0OV:78
Warren FoegeleAGE:29PO:0OV:78
Valeri NichushkinAGE:30PO:0OV:77
Keegan KolesarAGE:28PO:0OV:74
Dakota JoshuaAGE:29PO:0OV:73
Ethan CardwellAGE:23PO:0OV:62
Avery HayesAGE:22PO:0OV:60
Lukas RousekAGE:26PO:0OV:60
Matthew BarboliniAGE:25PO:0OV:58
Dans LocmelisAGE:21PO:0OV:57

Défense #1Défense #2Gardien
Zach WerenskiAGE:28PO:0OV:83
Connor CliftonAGE:30PO:0OV:79
Trevor van RiemsdykAGE:34PO:0OV:78
Vince DunnAGE:28PO:0OV:78
Filip HronekAGE:27PO:0OV:77
Kevin BahlAGE:25PO:0OV:76
Louis CrevierAGE:24PO:0OV:69
Ryan SheaAGE:28PO:0OV:68
Jack AhcanAGE:28PO:0OV:64
Jake LivingstoneAGE:26PO:0OV:63
Filip RoosAGE:26PO:0OV:61
Gavin WhiteAGE:22PO:0OV:61
Samuel KnazkoAGE:23PO:0OV:60
Dawson BarteauxAGE:25PO:0OV:59
Justin LeeAGE:25PO:0OV:59
Thatcher DemkoAGE:29PO:0OV:78
Alex LyonAGE:32PO:0OV:77
Domenic DiVincentiisAGE:21PO:0OV:60
Ruslan KhazheyevAGE:20PO:0OV:57
Damian ClaraAGE:20PO:0OV:54
Ryan FantiAGE:25PO:0OV:53

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
Alexandre BlaisSeattle Kraken2025314Fantasy DraftLien
Cole ReschnySeattle Kraken202558Fantasy DraftLien
Jeremy LorangerSeattle Kraken2025263Fantasy DraftLien
Kurban LimatovSeattle Kraken2025135Fantasy DraftLien
Mikhail IlyinSeattle Kraken2025199Fantasy DraftLien
Nathan VilleneuveSeattle Kraken2025186Fantasy DraftLien
Pyotr AndreyanovSeattle Kraken2025122Fantasy DraftLien
Tomas LavoieSeattle Kraken2025250Fantasy DraftLien
Yegor SurinSeattle Kraken202571Fantasy DraftLien

Choix au repêchage

Année R1R2R3R4R5R6R7
2026
2027
2028
2029
2030
Choix au repêchage conditionnel



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


Seattle Kraken Historique de transactions

[2025-09-19 15:17:47] Travis Dermott was released.
[2025-09-19 15:17:47] Ryan Carpenter was released.
[2025-09-19 15:17:47] Darren Brady was released.
[2025-09-19 15:17:47] Charles Hudon was released.
[2025-09-19 15:17:47] Cal O'Reilly was released.
[2025-09-10 23:11:37] Coachella Valley Firebirds hired Pavel Bure for $1 for 5 year(s).
[2025-09-10 23:11:31] Seattle Kraken hired Ryan Smyth for $1 for 5 year(s).
[2025-07-26 09:31:21] TRADE : From Minnesota Wild to Seattle Kraken : Dylan Strome (80).
[2025-07-26 09:31:20] TRADE : From Seattle Kraken to Minnesota Wild : Sam Dickinson (P), Y:2026-RND:1-SEA.



Pas de blessure ou de suspension.


Seattle Kraken 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

Seattle Kraken 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

Seattle Kraken 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

Seattle Kraken 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

Seattle Kraken 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