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Seattle Kraken
GP: 33 | W: 14 | L: 18 | OTL: 1 | P: 38
GF: 78 | GA: 95 | PP%: 14.81% | PK%: 81.69%
DG: Ray Z | Morale : 40 | Moyenne d’équipe : 77
Prochains matchs #476 vs Edmonton Oilers

Centre de jeu
Tampa Bay Lightning
18-10-6, 56pts
2
3 Seattle Kraken
14-18-1, 38pts
Team Stats
L1SéquenceW5
11-4-2Fiche domicile9-6-0
7-6-4Fiche visiteur5-12-1
5-3-2Derniers 10 matchs7-3-0
2.82Buts par match 2.36
2.35Buts contre par match 2.88
21.05%Pourcentage en avantage numérique14.81%
84.72%Pourcentage en désavantage numérique81.69%
New York Rangers
14-14-6, 46pts
2
3 Seattle Kraken
14-18-1, 38pts
Team Stats
W1SéquenceW5
5-9-3Fiche domicile9-6-0
9-5-3Fiche visiteur5-12-1
5-4-1Derniers 10 matchs7-3-0
2.50Buts par match 2.36
2.74Buts contre par match 2.88
18.44%Pourcentage en avantage numérique14.81%
81.31%Pourcentage en désavantage numérique81.69%
Seattle Kraken
14-18-1, 38pts
Jour 84
Edmonton Oilers
17-10-6, 53pts
Statistiques d’équipe
W5SéquenceW1
9-6-0Fiche domicile7-6-4
5-12-1Fiche visiteur10-4-2
7-3-010 derniers matchs5-4-1
2.36Buts par match 2.91
2.88Buts contre par match 2.91
14.81%Pourcentage en avantage numérique17.21%
81.69%Pourcentage en désavantage numérique84.21%
Seattle Kraken
14-18-1, 38pts
Jour 86
Detroit Red Wings
17-9-7, 55pts
Statistiques d’équipe
W5SéquenceW1
9-6-0Fiche domicile8-4-4
5-12-1Fiche visiteur9-5-3
7-3-010 derniers matchs5-2-3
2.36Buts par match 2.73
2.88Buts contre par match 2.73
14.81%Pourcentage en avantage numérique18.60%
81.69%Pourcentage en désavantage numérique81.08%
St Louis Blues
18-11-4, 57pts
Jour 89
Seattle Kraken
14-18-1, 38pts
Statistiques d’équipe
L2SéquenceW5
9-7-2Fiche domicile9-6-0
9-4-2Fiche visiteur5-12-1
6-4-010 derniers matchs7-3-0
2.97Buts par match 2.36
2.48Buts contre par match 2.36
18.25%Pourcentage en avantage numérique14.81%
79.63%Pourcentage en désavantage numérique81.69%
Meneurs d'équipe
Buts
Alex DeBrincat
15
Passes
Alex DeBrincat
13
Points
Alex DeBrincat
28
Plus/Moins
Alexandre Texier
11
Victoires
Elvis Merzlikins
6
Pourcentage d’arrêts
Calvin Pickard
0.916

Statistiques d’équipe
Buts pour
78
2.36 GFG
Tirs pour
883
26.76 Avg
Pourcentage en avantage numérique
14.8%
16 GF
Début de zone offensive
34.8%
Buts contre
95
2.88 GAA
Tirs contre
981
29.73 Avg
Pourcentage en désavantage numérique
81.7%%
26 GA
Début de la zone défensive
41.7%
Informations de l'équipe

Directeur généralRay Z
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomClimate Pledge Arena
Capacité18,000
Assistance14,643
Billets de saison7,380


Informations de la formation

Équipe Pro21
Équipe Mineure32
Limite contact 53 / 250
Espoirs46


Finance

Revenu annuel à ce jour16,027,083$
Dépenses annuelles à ce jour31,891,363$
Revenus de la saison estimés26,711,805$
Dépenses de la saison estimées42,628,320$
Compte bancaire actuel45,236,024$
Compte bancaire projeté29,243,411$


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
1Leon Draisaitl0X100.0066499086779699999899976894788255408402946,200,000$
2Tim Stutzle0X100.0082469092689599917590907390687755408202312,000,000$
3Alex DeBrincat0X100.0071359299539291807483887085747455407802726,000,067$
4Evgeny Kuznetsov0X100.00824981857293938491867868768179554078N03325,500,000$
5Oliver Bjorkstrand0X100.0075398495589088806288827080797755407803034,200,000$
6Alexandre Texier0X100.0062478290768793806480837283716955407702544,000,000$
7Dylan Cozens0X100.0059478284808894849080847582706955407702411,750,000$
8Jonathan Huberdeau0X100.0060459294739191766880866680807455407703223,000,000$
9Calle Jarnkrok0X100.0059428181628789678569707071817155407003312,150,000$
10Justin Danforth0X100.0088417477687980676967687070807555407003211,000,000$
11Thomas Chabot0X100.00734296938299998050907578767782554080N02814,500,000$
12Alexandre Carrier0X100.00803983916893997650806382697779554078N02818,500,000$
13Darnell Nurse0X100.0092546770999292755078708065798955407803032,000,000$
14Kevin Bahl0X100.0087638970998685735080678365718055407702541,750,000$
15Mario Ferraro0X100.0092488788698888765282707769738455407702631,750,000$
16Dante Fabbro0X100.0070478392768685775382717773747955407602721,500,000$
17Andrew Peeke0X100.0094518580877978685273657765747555407502721,500,000$
18Travis Dermott0X100.008247887885808673507666736777835540740281500,000$
Rayé
Équipe Mineure
1Juuso Parssinen (R)0X98.008758817485839279888474707570735540750241800,000$
2Juraj Slafkovsky (R)0X100.0093607862908787695778726567636355407002131,750,000$
3Mikhail Grigorenko0X100.0060458368938384667969686966807055406903112,500,000$
4Sven Andrighetto0X100.0079408381577979676770676871806455406903221,500,000$
5Cole Sillinger (R)0X100.0066507977758484658273676169656555406802231,750,000$
6Jacob De La Rose0X100.008952776483777563696664706379745540680303625,000$
7Sheldon Dries0X100.008145677859767666806968677080685540680312625,000$
8Cole Koepke0X100.0091478069757676605064656664768655406702712,000,000$
9LARS BRYGGMAN0X100.005443746781606069707172646978785240670321250,000$
10Maxim Tsyplakov0X100.0084527467808276606572656463757555406702612,000,000$
11Tommy Novak0X100.005337827874738060716562726575725540670281500,000$
12Steven Lorentz0X100.008445746487687660736261686178735540660294625,000$
13Jayden Struble (R)0X100.009150698178788768537264736468695540730232800,000$
14Kevin Gravel0X100.008449806893818070507364676381825540720332750,000$
15Henry Thrun (R)0X100.005645888181829068507065636570775540700242700,000$
16Markus Niemelainen0X100.008946797587667161526059695976825540700271500,000$
17Albert Johansson (R)0X100.006530798965767664506663666570705540690243800,000$
18Matias Maccelli (R)0X100.006038879560889379568681708170725540770241700,000$
19Philip Tomasino (R)0X100.0069468393708890757283827080677855407602317,000,000$
20Andrew Agozzino0X100.006143777657767465646868676882655540670341750,000$
21Jansen Harkins0X100.005744747672768160706263706475635540660281500,000$
22Mathias Brome0X100.0055408276657679606464636765767355406603021,000,000$
23Ty Rattie0X100.005442768058756960556464656579635540640321625,000$
24Blake Speers0X100.005640798059716860555861696573575540630281500,000$
25Jordan Spence (R)0X97.006743839163778577507965757070765540730242700,000$
26JOEL NYSTROM0X100.006038839071606067487564766765745240700231275,000$
27Jordan Oesterle0X100.0053408777717676605069676762849455406903321,000,000$
28Alexey Marchenko0X100.0051518765867983675170606857818255406803321,000,000$
29Niko Mikkola0X100.007349757679687061506260655877715540670294625,000$
MOYENNE D’ÉQUIPE99.89724681807581837063747070707575554072
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
1Calvin Pickard0100.0073838580848687858586848272554080N03322,750,000$
2Elvis Merzlikins0100.0086777984858384848483838067554080N03123,000,000$
Rayé
1James Reimer0100.0073778083798383818183808770554078N03712,750,000$
Équipe Mineure
1David Rittich098.007172758477787979757878806355407503211,850,000$
2Joel Blomqvist (R)0100.00887075827673747676737468565540730233800,000$
3Scott Wedgewood0100.007670708278798079797978816755407503211,850,000$
MOYENNE D’ÉQUIPE99.6778757783808081818080808066554077
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
1Alex DeBrincatSeattle KrakenLW34151328-1180514294285115.96%1468720.226814191090002341048.72%39258100.8101000113
2Leon DraisaitlSeattle KrakenC33131326-1232103773112427311.61%1573822.3735815990004703155.87%8522019000.7004101102
3Tim StutzleSeattle KrakenRW3281321-15175505812138696.61%1571222.2654921950002862150.00%463313000.5923001111
4Alexandre TexierSeattle KrakenLW33991811200283710917648.26%1866420.1422415900002440032.65%491810000.5411000102
5Jonathan HuberdeauSeattle KrakenRW338917695385766113512.12%1159918.150223550000262236.84%191911000.5700001012
6Oliver BjorkstrandSeattle KrakenLW3371017-316057449439587.45%1064719.621458860004410048.84%432911000.5314000133
7Dylan CozensSeattle KrakenC337916-223537598328328.43%1759017.880115680004551047.67%3001712000.5411100200
8Thomas ChabotSeattle KrakenD3351015-1240345549211510.20%5185125.80314101090002129100%01632000.3500000031
9Evgeny KuznetsovSeattle KrakenC335914026056656125488.20%860718.410225780003500049.76%4101810000.4602000101
10Alexandre CarrierSeattle KrakenD332810-1148104852311496.45%4576023.041012370000118000%01228000.2600200101
11Matias MaccelliCoachella Valley Firebirds (SEA)LW17369-200132330132310.00%1125615.09000010001150040.91%22105000.7000000001
12Philip TomasinoCoachella Valley Firebirds (SEA)RW17336-225530253511278.57%626915.87000050000271061.54%1355100.4400001000
13Dante FabbroSeattle KrakenD330332160112917240%1838811.77011437000040000%039000.1500000000
14Darnell NurseSeattle KrakenD331233455434820485.00%2049214.93011372000081000%0422000.1200010000
15Kevin BahlSeattle KrakenD3303345020284315790%3764819.64000031000087000%0423000.0901112000
16Andrew PeekeSeattle KrakenD33011-22015253120%81915.810000000007000%003000.1000000000
17Calle JarnkrokSeattle KrakenC16011-1295122115670%422414.06000030001300046.88%16032000.0900001000
18Juraj SlafkovskyCoachella Valley Firebirds (SEA)LW1011000322010%12626.100110400001000%100000.7711000000
19Mario FerraroSeattle KrakenD33011-5100352313750%1943313.130001500002000%0515000.0500000000
20Travis DermottSeattle KrakenD33011-220782300%41745.280000000000000%005000.1100000000
21Justin DanforthSeattle KrakenRW6000460443020%18213.7700000000000025.00%40200000000000
22Juuso ParssinenCoachella Valley Firebirds (SEA)C170000605113200%1704.1200000000060047.06%340200000000000
23Mikhail GrigorenkoCoachella Valley Firebirds (SEA)RW10000-220360030%1545.470000000000000%13000000000000
24Tommy NovakCoachella Valley Firebirds (SEA)C1000-100020000%022.850000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne61386125211-53396706458129783195458.79%3351017416.602132531119920002595911451.05%1994244247200.416185279917
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
1Calvin PickardSeattle Kraken156710.9162.678752039465192100.917121415111
2Elvis MerzlikinsSeattle Kraken1661000.8972.809422044427195030.83361617110
3James ReimerSeattle Kraken32100.8952.941842098639100031000
Statistiques d’équipe totales ou en moyenne34141810.9062.762002609297842623183333221


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 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
Alex DeBrincat (contrat à 1 volet)Seattle KrakenLW271997-12-18USANo165 Lbs5 ft7NoNoTrade2026-03-14NoNo22025-09-30FalseFalsePro & Farm6,000,067$3,351,101$0$0$No6,000,067$--------6,000,067$--------No--------Lien
Alexandre Carrier (contrat à 1 volet)Seattle KrakenD281996-10-08CANNo174 Lbs5 ft11YesNoAssign ManuallyNoNo12025-09-30FalseFalsePro Only8,500,000$4,747,340$0$0$No---------------------------Lien
Alexandre Texier (contrat à 1 volet)Seattle KrakenLW251999-09-13FRANo194 Lbs6 ft1NoNoTrade2026-04-04NoNo42025-10-10FalseFalsePro & Farm4,000,000$2,234,043$0$0$No4,000,000$4,000,000$4,000,000$------4,000,000$4,000,000$4,000,000$------NoNoNo------Lien
Andrew PeekeSeattle KrakenD271998-03-17USANo216 Lbs6 ft3NoNoFree AgentNoNo22025-10-17FalseFalsePro & Farm1,500,000$837,766$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Calle Jarnkrok (contrat à 1 volet)Seattle KrakenC331991-09-25SWENo185 Lbs5 ft11NoNoFree AgentNoNo12025-10-17FalseFalsePro & Farm2,150,000$1,200,798$0$0$No---------------------------Lien
Calvin Pickard (contrat à 1 volet)Seattle KrakenG331992-04-15CANNo205 Lbs6 ft1YesNoFree AgentNoNo22025-10-10FalseFalsePro Only2,750,000$1,535,904$0$0$No2,750,000$--------2,750,000$--------Yes--------Lien
Dante FabbroSeattle KrakenD271998-06-20CANNo190 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,500,000$837,766$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Darnell Nurse (contrat à 1 volet)Seattle KrakenD301995-02-04CANNo220 Lbs6 ft4NoNoFree AgentNoNo32025-10-20FalseFalsePro & Farm2,000,000$1,117,021$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien
Dylan CozensSeattle KrakenC242001-02-09CANNo194 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,750,000$977,394$0$0$No---------------------------Lien
Elvis Merzlikins (contrat à 1 volet)Seattle KrakenG311994-04-13LVANo183 Lbs6 ft3YesNoFree AgentNoNo22025-10-10FalseFalsePro Only3,000,000$1,675,532$0$0$No3,000,000$--------3,000,000$--------Yes--------Lien
Evgeny Kuznetsov (contrat à 1 volet)Seattle KrakenC331992-05-19RUSNo205 Lbs6 ft1YesNoFree AgentNoNo22025-10-07FalseFalsePro Only5,500,000$3,071,809$0$0$No5,500,000$--------5,500,000$--------Yes--------Lien
James Reimer (contrat à 1 volet)Seattle KrakenG371988-03-15CANNo205 Lbs6 ft3YesNoAssign ManuallyNoNo12025-09-30FalseFalsePro Only2,750,000$1,535,904$0$0$No---------------------------Lien
Jonathan Huberdeau (contrat à 1 volet)Seattle KrakenRW321993-06-04CANNo203 Lbs6 ft1NoNoFree AgentNoNo22025-10-03FalseFalsePro & Farm3,000,000$1,675,532$0$0$No3,000,000$--------3,000,000$--------No--------Lien
Justin DanforthSeattle KrakenRW321993-03-15CANNo181 Lbs5 ft9NoNoFree AgentNoNo12025-10-27FalseFalsePro & Farm1,000,000$558,511$0$0$No---------------------------Lien
Kevin BahlSeattle KrakenD252000-06-27CANNo229 Lbs6 ft6NoNoFree AgentNoNo42025-10-17FalseFalsePro & Farm1,750,000$977,394$0$0$No1,750,000$1,750,000$1,750,000$------1,750,000$1,750,000$1,750,000$------NoNoNo------Lien
Leon Draisaitl (contrat à 1 volet)Seattle KrakenC291995-10-27DEUNo207 Lbs6 ft2NoNoFree AgentNoNo42025-10-06FalseFalsePro & Farm6,200,000$3,462,766$0$0$No6,200,000$6,200,000$6,200,000$------6,200,000$6,200,000$6,200,000$------NoNoNo------Lien
Mario FerraroSeattle KrakenD261998-09-17CANNo185 Lbs5 ft11NoNoFree AgentNoNo32025-10-17FalseFalsePro & Farm1,750,000$977,394$0$0$No1,750,000$1,750,000$-------1,750,000$1,750,000$-------NoNo-------Lien
Oliver Bjorkstrand (contrat à 1 volet)Seattle KrakenLW301995-04-10DNKNo176 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm4,200,000$2,345,745$0$0$No4,200,000$4,200,000$-------4,200,000$4,200,000$-------NoNo-------Lien
Thomas Chabot (contrat à 1 volet)Seattle KrakenD281997-01-30CANNo196 Lbs6 ft2YesNoAssign ManuallyNoNo12025-09-30FalseFalsePro Only4,500,000$2,513,298$0$0$No---------------------------Lien
Tim StutzleSeattle KrakenRW232002-01-15DEUNo190 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,000,000$1,117,021$0$0$No---------------------------Lien
Travis DermottSeattle KrakenD281996-12-22CANNo203 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$279,255$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2128.95196 Lbs6 ft12.053,157,146$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
66,300,067$43,150,067$19,900,000$11,950,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex DeBrincatLeon DraisaitlJonathan Huberdeau37014
2Oliver BjorkstrandEvgeny KuznetsovTim Stutzle31023
3Alexandre TexierDylan CozensJustin Danforth31023
4Oliver BjorkstrandCalle JarnkrokJonathan Huberdeau1050
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas ChabotAlexandre Carrier40041
2Mario FerraroKevin Bahl40041
3Darnell NurseDante Fabbro10041
4Andrew PeekeTravis Dermott10140
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex DeBrincatLeon DraisaitlTim Stutzle60005
2Alexandre TexierEvgeny KuznetsovOliver Bjorkstrand40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas ChabotDylan Cozens60005
2Darnell NurseDante Fabbro40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dylan CozensAlexandre Texier60050
2Calle JarnkrokTim Stutzle40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas ChabotAlexandre Carrier60050
2Darnell NurseKevin Bahl40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dylan Cozens60050Thomas ChabotAlexandre Carrier60050
2Calle Jarnkrok40050Darnell NurseKevin Bahl40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Leon DraisaitlAlexandre Texier60023
2Oliver BjorkstrandEvgeny Kuznetsov40032
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas ChabotAlexandre Carrier60032
2Darnell NurseKevin Bahl40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dylan CozensLeon DraisaitlTim StutzleThomas ChabotAlexandre Carrier
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex DeBrincatLeon DraisaitlTim StutzleThomas ChabotAlexandre Carrier
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dylan Cozens, Oliver Bjorkstrand, Leon DraisaitlDylan Cozens, Tim StutzleAlexandre Texier
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mario Ferraro, Dante Fabbro, Andrew PeekeMario FerraroDante Fabbro, Andrew Peeke
Tirs de pénalité
Leon Draisaitl, Tim Stutzle, Oliver Bjorkstrand, Evgeny Kuznetsov, Alex DeBrincat
Gardien
#1 : Calvin Pickard, #2 : Elvis Merzlikins
Lignes d’attaque personnalisées en prolongation
Leon Draisaitl, Tim Stutzle, Oliver Bjorkstrand, Evgeny Kuznetsov, Alex DeBrincat, Alexandre Texier, Dylan Cozens, Jonathan Huberdeau, Calle Jarnkrok, Justin Danforth
Lignes de défense personnalisées en prolongation
Thomas Chabot, Alexandre Carrier, Darnell Nurse, Kevin Bahl, Mario Ferraro


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
1Anaheim Mighty Ducks1010000013-2000000000001010000013-200.00012300010032612140223619300.00%3166.67%033267049.55%43580454.10%23045350.77%23131781810
2Boston Bruins1010000002-21010000002-20000000000000.00000000000023741203241825600.00%4175.00%033267049.55%43580454.10%23045350.77%2110209189
3California Golden Seals1010000013-21010000013-20000000000000.0001120000102367100277820600.00%40100.00%033267049.55%43580454.10%23045350.77%21112010189
4Carolina Hurricanes1010000024-2000000000001010000024-200.0002350001102621014027131414200.00%7271.43%033267049.55%43580454.10%23045350.77%2112209178
5Chicago Blackhawks22000000725110000004131100000031261.00071320002320591724180611423452150.00%90100.00%033267049.55%43580454.10%23045350.77%402345183316
6Colorado Avalanche201000105501010000012-11000001043120.333561100112160171924362172541300.00%10190.00%033267049.55%43580454.10%23045350.77%412347193617
7Columbus Blue Jackets2020000036-31010000024-21010000012-100.000369001020611910320672031431119.09%8275.00%033267049.55%43580454.10%23045350.77%432545183115
8Detroit Red Wings2110000047-3110000003211010000015-430.5004610001210421014180632220377114.29%10190.00%033267049.55%43580454.10%23045350.77%382146193417
9Edmonton Oilers21100000660110000004221010000024-230.5006101600141057152517073281847500.00%9277.78%033267049.55%43580454.10%23045350.77%402145183417
10Florida Panthers1010000025-3000000000001010000025-300.0002350010102511590371219222150.00%7185.71%033267049.55%43580454.10%23045350.77%2010219178
11Los Angeles Kings22000000853110000003121100000054161.00081321003320542020140622716347228.57%80100.00%033267049.55%43580454.10%23045350.77%392145173417
12New Jersey Devils10000010321000000000001000001032120.66733600011233418682581019500.00%5180.00%033267049.55%43580454.10%23045350.77%221121102011
13New York Islanders1010000013-2000000000001010000013-200.000112001000281261002911622100.00%3166.67%033267049.55%43580454.10%23045350.77%1911219188
14New York Rangers11000000321110000003210000000000031.00034700012021151502996202150.00%30100.00%033267049.55%43580454.10%23045350.77%1882191910
15Philadelphia Flyers1010000004-4000000000001010000004-400.000000000000241338038102310400.00%4175.00%033267049.55%43580454.10%23045350.77%1911249157
16Pittsburgh Penguins1010000024-2000000000001010000024-200.00023500200024413702978193266.67%4175.00%033267049.55%43580454.10%23045350.77%178249189
17San Jose Sharks1000010012-1000000000001000010012-110.33312300010021610323815619000%3166.67%033267049.55%43580454.10%23045350.77%2011229189
18St Louis Blues201000106601010000034-11000001032120.333681400140163272211963231542700.00%5180.00%033267049.55%43580454.10%23045350.77%452642193618
19Tampa Bay Lightning10000010321100000103210000000000020.6673360001123181478341214304125.00%2150.00%033267049.55%43580454.10%23045350.77%24132191910
20Toronto Maple Leafs10001000321100010003210000000000020.66735800200131145842968145240.00%4175.00%033267049.55%43580454.10%23045350.77%2313229189
21Vancouver Canucks21100000871110000006331010000024-230.50081220102600341117605211463910440.00%9277.78%033267049.55%43580454.10%23045350.77%412139203920
22Vegas Golden Knights2110000045-1110000003211010000013-230.5004481003105492817032192428900.00%12375.00%033267049.55%43580454.10%23045350.77%402037204220
23Winnipeg Jets2020000058-31010000035-21010000023-100.00059141005005717319050201835400.00%9277.78%033267049.55%43580454.10%23045350.77%432440183518
Total33918011407895-171576010104237518212001303658-22380.38478117195301837187883256322289349813183826441081614.81%1422681.69%033267049.55%43580454.10%23045350.77%690378716315599303
_Since Last GM Reset33918011407895-171576010104237518212001303658-22380.38478117195301837187883256322289349813183826441081614.81%1422681.69%033267049.55%43580454.10%23045350.77%690378716315599303
_Vs Conference23812001205965-6116500000332941227001202636-10290.42059921513012331226171802391931467222625644974912.16%991683.84%033267049.55%43580454.10%23045350.77%480264495218415210
_Vs Division944001002325-2431000001394513001001016-6130.481233457205144021858946422338210615935617.14%39782.05%033267049.55%43580454.10%23045350.77%187991828717186

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3338W57811719588398131838264430
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3391811407895
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
157610104237
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1821201303658
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1081614.81%1422681.69%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
256322289341837187
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
33267049.55%43580454.10%23045350.77%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
690378716315599303


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
211Seattle Kraken1Anaheim Mighty Ducks3LSommaire du match
425Seattle Kraken1San Jose Sharks2LXSommaire du match
639Seattle Kraken5Los Angeles Kings4WSommaire du match
856Colorado Avalanche2Seattle Kraken1LSommaire du match
1068Vegas Golden Knights2Seattle Kraken3WSommaire du match
1281Seattle Kraken2Vancouver Canucks4LSommaire du match
1496California Golden Seals3Seattle Kraken1LSommaire du match
15102Seattle Kraken2Carolina Hurricanes4LSommaire du match
18122Seattle Kraken1New York Islanders3LSommaire du match
20138Seattle Kraken2Florida Panthers5LSommaire du match
24151Columbus Blue Jackets4Seattle Kraken2LSommaire du match
26164Winnipeg Jets5Seattle Kraken3LSommaire du match
29176Chicago Blackhawks1Seattle Kraken4WSommaire du match
31186Seattle Kraken2Edmonton Oilers4LSommaire du match
35205Detroit Red Wings2Seattle Kraken3WSommaire du match
39224Seattle Kraken3St Louis Blues2WXXSommaire du match
42238St Louis Blues4Seattle Kraken3LSommaire du match
45249Seattle Kraken1Detroit Red Wings5LSommaire du match
48266Edmonton Oilers2Seattle Kraken4WSommaire du match
51279Seattle Kraken3Chicago Blackhawks1WSommaire du match
54291Seattle Kraken2Winnipeg Jets3LSommaire du match
57305Seattle Kraken1Columbus Blue Jackets2LSommaire du match
60318Boston Bruins2Seattle Kraken0LSommaire du match
62327Seattle Kraken0Philadelphia Flyers4LSommaire du match
64344Seattle Kraken2Pittsburgh Penguins4LSommaire du match
66355Toronto Maple Leafs2Seattle Kraken3WXSommaire du match
68370Vancouver Canucks3Seattle Kraken6WSommaire du match
70386Seattle Kraken1Vegas Golden Knights3LSommaire du match
72406Seattle Kraken4Colorado Avalanche3WXXSommaire du match
74416Los Angeles Kings1Seattle Kraken3WSommaire du match
76425Seattle Kraken3New Jersey Devils2WXXSommaire du match
78440Tampa Bay Lightning2Seattle Kraken3WXXSommaire du match
80453New York Rangers2Seattle Kraken3WSommaire du match
84476Seattle Kraken-Edmonton Oilers-
86484Seattle Kraken-Detroit Red Wings-
89502St Louis Blues-Seattle Kraken-
92518Hamilton Mustangs-Seattle Kraken-
93525Seattle Kraken-Hamilton Mustangs-
95537Seattle Kraken-Montreal Canadiens-
98558Montreal Canadiens-Seattle Kraken-
100570Ottawa Senators-Seattle Kraken-
102585Seattle Kraken-Quebec Nordiques-
105602San Jose Sharks-Seattle Kraken-
107612Anaheim Mighty Ducks-Seattle Kraken-
111629Seattle Kraken-California Golden Seals-
114644Seattle Kraken-Columbus Blue Jackets-
117658Winnipeg Jets-Seattle Kraken-
119668Seattle Kraken-Chicago Blackhawks-
122679Pittsburgh Penguins-Seattle Kraken-
124699Philadelphia Flyers-Seattle Kraken-
126713Seattle Kraken-Boston Bruins-
128726Florida Panthers-Seattle Kraken-
129730New York Islanders-Seattle Kraken-
131746Carolina Hurricanes-Seattle Kraken-
135767Seattle Kraken-Vancouver Canucks-
137782Vegas Golden Knights-Seattle Kraken-
139798Seattle Kraken-Colorado Avalanche-
142809Los Angeles Kings-Seattle Kraken-
144817Seattle Kraken-Toronto Maple Leafs-
147840New Jersey Devils-Seattle Kraken-
149851Seattle Kraken-Tampa Bay Lightning-
151862Seattle Kraken-New York Rangers-
153873Seattle Kraken-Ottawa Senators-
155885Quebec Nordiques-Seattle Kraken-
158903Edmonton Oilers-Seattle Kraken-
160911Detroit Red Wings-Seattle Kraken-
162929Seattle Kraken-St Louis Blues-
164944Chicago Blackhawks-Seattle Kraken-
166956Seattle Kraken-Winnipeg Jets-
168970Columbus Blue Jackets-Seattle Kraken-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171982Vancouver Canucks-Seattle Kraken-
173998Seattle Kraken-Vegas Golden Knights-
1751015Colorado Avalanche-Seattle Kraken-
1771026Seattle Kraken-Los Angeles Kings-
1801047Seattle Kraken-San Jose Sharks-
1811061San Jose Sharks-Seattle Kraken-
1831075Seattle Kraken-Anaheim Mighty Ducks-
1841089Anaheim Mighty Ducks-Seattle Kraken-
1861104California Golden Seals-Seattle Kraken-
1871114Seattle Kraken-California Golden Seals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets92513023186
Assistance73,77358,06625,68346,83515,283
Attendance PCT82.80%79.65%86.47%78.85%80.86%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
25 14643 - 81.35% 1,068,472$16,027,083$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
31,891,363$ 76,325,067$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 31,891,363$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
26,711,805$ 105 405,984$ 42,628,320$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
44,171,190$ 45,236,024$ 29,243,411$



Charte de profondeur

Ailier gaucheCentreAilier droit
Alex DeBrincatAGE:27PO:55OV:78
Oliver BjorkstrandAGE:30PO:55OV:78
Alexandre TexierAGE:25PO:55OV:77
Matias Maccelli (R)AGE:24PO:55OV:77
Juraj Slafkovsky (R)AGE:21PO:55OV:70
Sven AndrighettoAGE:32PO:55OV:69
Andrew AgozzinoAGE:34PO:55OV:67
Cole KoepkeAGE:27PO:55OV:67
LARS BRYGGMANAGE:32PO:52OV:67
Mathias BromeAGE:30PO:55OV:66
Leon DraisaitlAGE:29PO:55OV:84
Evgeny KuznetsovAGE:33PO:55OV:78
Dylan CozensAGE:24PO:55OV:77
Juuso Parssinen (R)AGE:24PO:55OV:75
Calle JarnkrokAGE:33PO:55OV:70
Cole Sillinger (R)AGE:22PO:55OV:68
Sheldon DriesAGE:31PO:55OV:68
Tommy NovakAGE:28PO:55OV:67
Jansen HarkinsAGE:28PO:55OV:66
Steven LorentzAGE:29PO:55OV:66
Tim StutzleAGE:23PO:55OV:82
Jonathan HuberdeauAGE:32PO:55OV:77
Philip Tomasino (R)AGE:23PO:55OV:76
Justin DanforthAGE:32PO:55OV:70
Mikhail GrigorenkoAGE:31PO:55OV:69
Jacob De La RoseAGE:30PO:55OV:68
Maxim TsyplakovAGE:26PO:55OV:67
Ty RattieAGE:32PO:55OV:64
Blake SpeersAGE:28PO:55OV:63

Défense #1Défense #2Gardien
Thomas ChabotAGE:28PO:55OV:80
Alexandre CarrierAGE:28PO:55OV:78
Darnell NurseAGE:30PO:55OV:78
Kevin BahlAGE:25PO:55OV:77
Mario FerraroAGE:26PO:55OV:77
Dante FabbroAGE:27PO:55OV:76
Andrew PeekeAGE:27PO:55OV:75
Travis DermottAGE:28PO:55OV:74
Jayden Struble (R)AGE:23PO:55OV:73
Jordan Spence (R)AGE:24PO:55OV:73
Kevin GravelAGE:33PO:55OV:72
Henry Thrun (R)AGE:24PO:55OV:70
Markus NiemelainenAGE:27PO:55OV:70
JOEL NYSTROMAGE:23PO:52OV:70
Albert Johansson (R)AGE:24PO:55OV:69
Jordan OesterleAGE:33PO:55OV:69
Alexey MarchenkoAGE:33PO:55OV:68
Niko MikkolaAGE:29PO:55OV:67
Calvin PickardAGE:33PO:55OV:80
Elvis MerzlikinsAGE:31PO:55OV:80
James ReimerAGE:37PO:55OV:78
David RittichAGE:32PO:55OV:75
Scott WedgewoodAGE:32PO:55OV:75
Joel Blomqvist (R)AGE:23PO:55OV:73

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
00 Y26-MTL-6Seattle Kraken00
0x LTCsSeattle Kraken00
0x RFA Tag (Leon Draisaitl Y26)Seattle Kraken00
1 000 000 NSHL25 Waiver BucksSeattle Kraken00
16x TC PTSSeattle Kraken00
1x NSHL26 ODW ClaimSeattle Kraken00
30x CON PointsSeattle Kraken000Lien
Alex BeaucageSeattle Kraken19770Lien
Antti TuomistoSeattle Kraken19540Lien
Arseni GritsyukSeattle Kraken201240Lien
Arturs SilovsSeattle Kraken23990Lien
Brad LambertSeattle Kraken22280Lien
Brett BerardSeattle Kraken201010Lien
Brett SolomonSeattle Kraken251560Lien
Caeden BankierSeattle Kraken23860Lien
Cross HanasSeattle Kraken221620Lien
David GoyetteSeattle Kraken22440Lien
Emil AndraeSeattle Kraken20490Lien
Francesco Dell'elceSeattle Kraken25610Lien
Hugo AlnefeltSeattle Kraken20730Lien
Ilya SafonovSeattle Kraken23530Lien
Jack PeartSeattle Kraken21580Lien
Jakob Ihs-WozniakSeattle Kraken25430Lien
John BeecherSeattle Kraken19320Lien
Josh FilmonSeattle Kraken23870Lien
Josh NodlerSeattle Kraken191260Lien
Justin GillSeattle Kraken241550Lien
Justin HryckowianSeattle Kraken241310Lien
Kasper SimontaivalSeattle Kraken201000Lien
Kirill KudryavtsevSeattle Kraken231600Lien
Kurban LimatovSeattle Kraken25450Lien
Landon SlaggertSeattle Kraken211080Lien
Mackie SamoskevichSeattle Kraken21330Lien
Macklin CelebriniSeattle Kraken2410Lien
Marat KhusnutdinovSeattle Kraken20460Lien
Niko HuuhtanenSeattle Kraken23740Lien
Owen GriffinSeattle Kraken251910Lien
Sam LaurilaSeattle Kraken251650Lien
Sandis VilmanisSeattle Kraken241060Lien
Simon RobertssonSeattle Kraken21770Lien
Stanislav SvozilSeattle Kraken211210Lien
Theo StockseliusSeattle Kraken25650Lien
Topias VilenSeattle Kraken231560Lien
Travis HayesSeattle Kraken251360Lien
Ty NelsonSeattle Kraken22690Lien
Tyson HindsSeattle Kraken23500Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
26
27
28
29
30
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




Seattle Kraken Historique de transactions

[2026-04-14 3:08:41 PM] New Record for Team's Most Hits (30) in 1 Game for Seattle Kraken!
[2026-04-08 2:42:03 PM] New Record for Team's Most Shots (38) in 1 Game for Seattle Kraken!
[2026-04-06 3:11:11 PM] TRADE : From Seattle Kraken to Montreal Canadiens : Miikka Salomaki (70).
[2026-04-06 3:11:11 PM] TRADE : From Montreal Canadiens to Seattle Kraken : $200,000 (Money).
[2026-04-04 11:58:05 AM] 10x TC PTS has been deleted from Seattle Kraken.
[2026-04-04 11:57:53 AM] TRADE : From Vegas Golden Knights to Seattle Kraken : Alexandre Texier (77), 10x TC PTS (P).
[2026-04-04 11:57:53 AM] TRADE : From Seattle Kraken to Vegas Golden Knights : Luke Evangelista (71), Noah Laba (P), Y:26-RND:1-TBL.
[2026-04-04 10:28:23 AM] New Record for Team's Most Penalties Minutes (38) in 1 Game for Seattle Kraken!
[2026-04-04 10:28:23 AM] New Record for Team's Most Points (14) in 1 Game for Seattle Kraken!
[2026-04-04 10:28:23 AM] New Record for Team's Most Assists (8) in 1 Game for Seattle Kraken!
[2026-04-04 10:28:23 AM] New Record for Team's Most Goals (6) in 1 Game for Seattle Kraken!
[2026-03-16 10:34:49 AM] New Record for Team's Most Hits (27) in 1 Game for Seattle Kraken!
[2026-03-14 4:41:40 PM] TRADE : From Seattle Kraken to Montreal Canadiens : Kirill Kaprizov (78), Y:26-RND:7-SEA.
[2026-03-14 4:41:40 PM] TRADE : From Montreal Canadiens to Seattle Kraken : Alex DeBrincat (78).
[2026-03-10 3:02:43 PM] New Record for Team's Most Shots (35) in 1 Game for Seattle Kraken!
[2026-02-27 3:59:06 PM] New Record for Team's Most Shots Blocked (16) in 1 Game for Seattle Kraken!
[2026-02-20 11:04:42 AM] New Record for Team's Most Penalties Minutes (25) in 1 Game for Seattle Kraken!
[2026-02-06 3:11:23 PM] New Record for Team's Most Hits (24) in 1 Game for Seattle Kraken!
[2026-02-02 3:12:10 PM] New Record for Team's Most Penalties Minutes (21) in 1 Game for Seattle Kraken!
[2026-01-31 10:15:19 AM] New Record for Team's Most Points (12) in 1 Game for Seattle Kraken!
[2026-01-31 10:15:19 AM] New Record for Team's Most Assists (7) in 1 Game for Seattle Kraken!
[2026-01-31 10:15:19 AM] New Record for Team's Most Goals (5) in 1 Game for Seattle Kraken!
[2026-01-29 10:02:20 AM] New Record for Team's Most Shots Blocked (15) in 1 Game for Seattle Kraken!



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