Association Québécoise de Hockey Simulé - Seattle Kraken 

Seattle Kraken

GP: 19 | W: 9 | L: 7 | OTL: 3 | P: 21
GF: 59 | GA: 62 | PP%: 8.45% | PK%: 77.97%
DG: Pierre-Alexandre Racine | Morale : 90 | Moyenne d'Équipe : 70
Prochain matchs #304 vs Chicago Blackhawks
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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 SP
1Jack Eichel (A)X100.00664593947394818575888375868682090810
2Mitch MarnerX100.00614585995699979030998193888583090810
3Kevin FialaX100.00634574956488838830987757868681090790
4Vincent TrocheckX100.00975176935697997786827266758985090770
5Evan RodriguesX100.00574583885689836879676968858984090720
6Dillon DubeX100.00844879885676996875676868718476090710
7Lars EllerX100.00714580797274995684536078689385090700
8Oliver BjorkstrandX100.00634590895378986830657062708881090700
9Alexis LafreniereX100.00864884846576986530636666798173090680
10Evgenii DadonovX100.00564588855874886430695858699486090670
11Nick CousinsX100.00715182836055955979595957688977090650
12Pontus Holmberg (R)X100.00604582826752455973586156688471090620
13Aaron Ekblad (C)X100.00704569877698867130687474718784090760
14Shea Theodore (A)X100.00524586956389667930896880858782090750
15Bowen ByramX100.00915170915891517330677979728177090740
16Ryan SuterX100.00684586826585995830625571679892090720
17Dante FabbroX100.00794578795573955130495376658475090680
18Jeremy LauzonX99.00995768786570815330515672668576090680
Rayé
1Gabriel Fortier (R)X100.00504595795050404530405055508370090520
MOYENNE D'ÉQUIPE99.9571478187617983674868666973878009071
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 SP
1Cam Talbot98.0080708087827880788277999589090720
2Kasimir Kaskisuo100.0070404088656565656565658774090590
Rayé
1Adin Hill48.8285617993868285828683998679090730
2Spencer Knight (R)87.6973557986747373737472708172090650
MOYENNE D'ÉQUIPE83.257757708977757675777483877909067
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jim Montgomery86999875887664CAN5436,000,000$


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'ÉquipePOS GP 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
1Kevin FialaSeattle KrakenRW19913226215301962133414.52%833617.721231070000122020.00%20254011.3100001211
2Jack EichelSeattle KrakenC1991221600162859163415.25%938820.422247730002420252.96%389116001.0800000221
3Vincent TrocheckSeattle KrakenC198816795303252193115.38%831016.36101456000061058.84%29481001.0300001201
4Mitch MarnerSeattle KrakenLW177916520261947163514.89%1132319.0501111641015412037.93%29205000.9900000130
5Oliver BjorkstrandSeattle KrakenRW193696201920318209.68%129815.72011456000000034.78%2383000.6000000000
6Bowen ByramSeattle KrakenD19167-114030293213153.12%2336519.26022153000146000.00%01213000.3800000000
7Evan RodriguesSeattle KrakenC19347-6201721417307.32%626513.98011080004411051.18%170132000.5300000000
8Shea TheodoreSeattle KrakenD19077-28012254414240.00%1940421.31011774000144000.00%0107000.3500000001
9Aaron EkbladSeattle KrakenD19336018032243311139.09%2940721.46202473011046000.00%079000.2901000000
10Ryan SuterSeattle KrakenD1915600092519965.26%1129915.7400007000016000.00%0113000.4011000001
11Alexis LafreniereSeattle KrakenLW1941541003124298913.79%1433717.77000456000040130.00%2024000.3000000102
12Dante FabbroSeattle KrakenD190555135293916630.00%2339620.8900000000031000.00%0117000.2500010000
13Dillon DubeSeattle KrakenC19325-56031183112189.68%521211.2000000000042083.33%1282000.4700000001
14Jeremy LauzonSeattle KrakenD1914551803640181165.56%2141722.0000005300001100.00%0017000.2400000100
15Lars EllerSeattle KrakenC19224-320132220101010.00%423212.26000010000390057.61%18458000.3400000001
16Pontus HolmbergSeattle KrakenRW19314-220181130102110.00%219110.06000030000000100.00%263000.4200000000
17Nick CousinsSeattle KrakenLW19134-12021112711123.70%220210.6500002000010020.00%581000.4000000000
18Evgenii DadonovSeattle KrakenRW19112-500981714145.88%221111.1200000000000033.33%924000.1900000000
19Gabriel FortierSeattle KrakenLW2000-120102000.00%02110.860000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne342599215118131154104156102083359.67%198562616.456101652655112143699353.33%1157147119010.5412012969
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
1Cam TalbotSeattle Kraken167630.9003.118680045448217310.0000136001
2Adin HillSeattle Kraken41100.8903.77175001110050000.000041010
3Spencer KnightSeattle Kraken21000.8812.911030054219000.000022000
Stats d'équipe Total ou en Moyenne229730.8973.1911470061590286310.0000199011


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Aaron EkbladSeattle KrakenD271996-02-07No215 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm7,500,000$7,500,000$5,758,929$No
Adin Hill (Sur la Masse Salariale)Seattle KrakenG271996-05-11No215 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm2,000,000$0$0$Yes
Alexis LafreniereSeattle KrakenLW212001-10-11No195 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm3,000,000$3,000,000$2,303,571$No
Bowen ByramSeattle KrakenD222001-06-13No190 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm3,000,000$3,000,000$2,303,571$No
Cam TalbotSeattle KrakenG361987-07-05No201 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm4,000,000$4,000,000$3,071,429$No
Dante FabbroSeattle KrakenD251998-06-20No189 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$1,919,643$No
Dillon DubeSeattle KrakenC251998-07-20No185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm2,000,000$2,000,000$1,535,714$No
Evan RodriguesSeattle KrakenC301993-07-28No184 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm3,200,000$3,200,000$2,457,143$No
Evgenii DadonovSeattle KrakenRW341989-03-12No189 Lbs5 ft11NoNoNo4Sans RestrictionPro & Farm2,000,000$2,000,000$1,535,714$No
Gabriel FortierSeattle KrakenLW232000-02-06Yes177 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm750,000$750,000$575,893$No
Jack EichelSeattle KrakenC261996-10-28No207 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm9,000,000$9,000,000$6,910,714$No
Jeremy LauzonSeattle KrakenD261997-04-28No204 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm1,100,000$1,100,000$844,643$No
Kasimir KaskisuoSeattle KrakenG291993-10-02No203 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm700,000$700,000$537,500$No
Kevin FialaSeattle KrakenRW271996-07-22No204 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm5,500,000$5,500,000$4,223,214$No
Lars EllerSeattle KrakenC341989-05-08No205 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm2,750,000$2,750,000$2,111,607$No
Mitch MarnerSeattle KrakenLW261997-05-05No181 Lbs6 ft0NoNoNo5Avec RestrictionPro & Farm9,600,000$9,600,000$7,371,429$No
Nick CousinsSeattle KrakenLW301993-07-20No192 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$767,857$No
Oliver BjorkstrandSeattle KrakenRW281995-04-10No175 Lbs6 ft0NoNoNo5Sans RestrictionPro & Farm5,400,000$5,400,000$4,146,429$No
Pontus HolmbergSeattle KrakenRW241999-03-09Yes202 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm900,000$900,000$691,071$No
Ryan SuterSeattle KrakenD381985-01-21No205 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm3,650,000$3,650,000$2,802,679$No
Shea TheodoreSeattle KrakenD281995-08-03No197 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm6,500,000$6,500,000$4,991,071$No
Spencer Knight (Sur la Masse Salariale)Seattle KrakenG222001-04-19Yes192 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm3,000,000$0$0$Yes
Vincent TrocheckSeattle KrakenC301993-07-11No184 Lbs5 ft11NoNoNo4Sans RestrictionPro & Farm5,500,000$5,500,000$4,223,214$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2327.74195 Lbs6 ft12.573,676,087$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
84,550,000$62,600,000$48,600,000$29,900,000$15,000,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alexis LafreniereJack EichelKevin Fiala30014
2Mitch MarnerVincent TrocheckOliver Bjorkstrand28113
3Dillon DubeEvan RodriguesEvgenii Dadonov22122
4Nick CousinsLars EllerPontus Holmberg20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shea TheodoreAaron Ekblad28032
2Bowen ByramRyan Suter28131
3Jeremy LauzonDante Fabbro25140
4Jeremy LauzonDante Fabbro19140
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mitch MarnerJack EichelKevin Fiala55005
2Alexis LafreniereVincent TrocheckOliver Bjorkstrand45005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shea TheodoreAaron Ekblad55014
2Bowen ByramJeremy Lauzon45014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Evan RodriguesMitch Marner51131
2Lars EllerJack Eichel49131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Aaron EkbladBowen Byram53140
2Dante FabbroShea Theodore47140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Lars Eller50050Aaron EkbladShea Theodore50050
2Jack Eichel50041Dante FabbroBowen Byram50050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jack EichelMitch Marner50113
2Vincent TrocheckKevin Fiala50113
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shea TheodoreBowen Byram50122
2Aaron EkbladRyan Suter50122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mitch MarnerJack EichelKevin FialaShea TheodoreBowen Byram
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mitch MarnerLars EllerJack EichelShea TheodoreBowen Byram
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jack Eichel, Mitch Marner, Kevin FialaJack Eichel, Mitch MarnerMitch Marner
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Shea Theodore, Bowen Byram, Aaron EkbladShea TheodoreShea Theodore, Bowen Byram
Tirs de Pénalité
Mitch Marner, Kevin Fiala, Jack Eichel, Evan Rodrigues, Alexis Lafreniere
Gardien
#1 : Cam Talbot, #2 : Kasimir Kaskisuo
Lignes d'Attaque Perso. en Prol.
Jack Eichel, Mitch Marner, Vincent Trocheck, Kevin Fiala, Evan Rodrigues, Alexis Lafreniere, Alexis Lafreniere, Oliver Bjorkstrand, Lars Eller, Dillon Dube, Evgenii Dadonov
Lignes de Défense Perso. en Prol.
Shea Theodore, Bowen Byram, Aaron Ekblad, Ryan Suter, Jeremy Lauzon


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
LigueDomicileVisiteur
# 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 Red Bull11000000211110000002110000000000021.0002460002002481420176028700.00%000.00%024344254.98%22742553.41%14727952.69%2111199189
2Chicago Blackhawks1000010034-11000010034-10000000000010.5003470011103113711039118174125.00%4175.00%024344254.98%22742553.41%14727952.69%2112249168
3Colorado Zipper2020000027-51010000014-31010000013-200.000235001100581920190532610471200.00%5260.00%024344254.98%22742553.41%14727952.69%452438183619
4Dallas Storm2020000039-61010000024-21010000015-400.0003580010203915141007415163810110.00%8275.00%024344254.98%22742553.41%14727952.69%392146183316
5Halifax Thunder1000010023-1000000000001000010023-110.5002350001103512914036138272150.00%40100.00%024344254.98%22742553.41%14727952.69%2314219178
6Houston Supernova2110000056-12110000056-10000000000020.500581300122072203220059112141700.00%8362.50%024344254.98%22742553.41%14727952.69%432440183517
7Los Angeles Kings21001000972110000004311000100054141.0009142300215167171237152201439300.00%7271.43%024344254.98%22742553.41%14727952.69%482836173517
8Moncton Wildcats1010000014-31010000014-30000000000000.000123000100349111402812822300.00%4175.00%024344254.98%22742553.41%14727952.69%2615168179
9Montreal Canadiens21001000963100010005411100000042241.0009142300125166162226271331046500.00%50100.00%024344254.98%22742553.41%14727952.69%442742183316
10Quebec Nordiques1010000024-2000000000001010000024-200.00023510011038717140429620300.00%40100.00%024344254.98%22742553.41%14727952.69%2012238158
11Regina Pats11000000817110000008170000000000021.000811190042204319816032812224125.00%10100.00%124344254.98%22742553.41%14727952.69%2214218168
12San Jose Rhinos11000000532000000000001100000053221.00059140011303241216029166192150.00%3166.67%024344254.98%22742553.41%14727952.69%2112229167
13St-Louis Blues1000010034-1000000000001000010034-110.500347000120382041403496226116.67%3166.67%024344254.98%22742553.41%14727952.69%2213219168
Total1977023005962-310440110031310933012002831-3210.553599215110131727261018719122935911981314107168.45%591377.97%124344254.98%22742553.41%14727952.69%421245395172330166
15Winnipeg Jets11000000532000000000001100000053221.00058130011303389160259622300.00%30100.00%024344254.98%22742553.41%14727952.69%2211199189
_Since Last GM Reset1977023005962-310440110031310933012002831-3210.553599215110131727261018719122935911981314107168.45%591377.97%124344254.98%22742553.41%14727952.69%421245395172330166
_Vs Conference1135012003040-10623001001521-6512011001519-4100.45530477700771513371081011271340108812234449.09%381268.42%024344254.98%22742553.41%14727952.69%24013723110019195
_Vs Division1035011002736-9523000001217-5512011001519-490.45027437000661413069594116130197732064037.50%341167.65%024344254.98%22742553.41%14727952.69%2191242069117587

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1921L2599215161059119813141010
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
197723005962
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
104411003131
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
93312002831
Derniers 10 Matchs
WLOTWOTL SOWSOL
431200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
7168.45%591377.97%1
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
18719122931317272
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
24344254.98%22742553.41%14727952.69%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
421245395172330166


Derniers Match 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 - 2024-04-0615Moncton Wildcats4Seattle Kraken1LSommaire du Match
2 - 2024-04-0728Montreal Canadiens4Seattle Kraken5WXSommaire du Match
3 - 2024-04-0843Seattle Kraken1Dallas Storm5LSommaire du Match
4 - 2024-04-0957Seattle Kraken4Montreal Canadiens2WSommaire du Match
6 - 2024-04-1171Seattle Kraken3St-Louis Blues4LXSommaire du Match
7 - 2024-04-1283Seattle Kraken5San Jose Rhinos3WSommaire du Match
9 - 2024-04-1493Dallas Storm4Seattle Kraken2LSommaire du Match
11 - 2024-04-16116Colorado Zipper4Seattle Kraken1LSommaire du Match
12 - 2024-04-17133Los Angeles Kings3Seattle Kraken4WSommaire du Match
14 - 2024-04-19156Seattle Kraken2Halifax Thunder3LXSommaire du Match
15 - 2024-04-20169Chicago Blackhawks4Seattle Kraken3LXSommaire du Match
17 - 2024-04-22189Houston Supernova3Seattle Kraken4WSommaire du Match
18 - 2024-04-23199Seattle Kraken1Colorado Zipper3LSommaire du Match
19 - 2024-04-24221Calgary Red Bull1Seattle Kraken2WSommaire du Match
20 - 2024-04-25229Seattle Kraken5Los Angeles Kings4WXSommaire du Match
22 - 2024-04-27245Seattle Kraken5Winnipeg Jets3WSommaire du Match
23 - 2024-04-28259Regina Pats1Seattle Kraken8WSommaire du Match
24 - 2024-04-29279Seattle Kraken2Quebec Nordiques4LSommaire du Match
26 - 2024-05-01289Houston Supernova3Seattle Kraken1LSommaire du Match
27 - 2024-05-02304Seattle Kraken-Chicago Blackhawks-
29 - 2024-05-04320Dallas Storm-Seattle Kraken-
31 - 2024-05-06343Seattle Kraken-St-Louis Blues-
32 - 2024-05-07350Seattle Kraken-Los Angeles Kings-
33 - 2024-05-08364Quebec Nordiques-Seattle Kraken-
34 - 2024-05-09385Atlanta Supra-Seattle Kraken-
36 - 2024-05-11400Seattle Kraken-Calgary Red Bull-
37 - 2024-05-12411Cleveland Bulldogs-Seattle Kraken-
39 - 2024-05-14428Seattle Kraken-Houston Supernova-
40 - 2024-05-15444Seattle Kraken-Cleveland Bulldogs-
41 - 2024-05-16456Detroit Red Wings-Seattle Kraken-
43 - 2024-05-18473Seattle Kraken-Halifax Thunder-
44 - 2024-05-19488St-Louis Blues-Seattle Kraken-
46 - 2024-05-21511Hamilton Tigers-Seattle Kraken-
47 - 2024-05-22520Seattle Kraken-San Jose Rhinos-
49 - 2024-05-24539Vancouver Knights-Seattle Kraken-
50 - 2024-05-25556Seattle Kraken-Houston Supernova-
52 - 2024-05-27571Ottawa Lumberjacks-Seattle Kraken-
53 - 2024-05-28588Seattle Kraken-Moncton Wildcats-
54 - 2024-05-29599London Spartiates-Seattle Kraken-
56 - 2024-05-31614Seattle Kraken-Ottawa Lumberjacks-
57 - 2024-06-01632Seattle Kraken-Edmonton Oilers-
58 - 2024-06-02644Los Angeles Kings-Seattle Kraken-
60 - 2024-06-04661Seattle Kraken-Regina Pats-
61 - 2024-06-05673New York Rangers-Seattle Kraken-
63 - 2024-06-07693Seattle Kraken-St-Johns Desperados-
64 - 2024-06-08702Chicago Blackhawks-Seattle Kraken-
66 - 2024-06-10725San Jose Rhinos-Seattle Kraken-
67 - 2024-06-11741Seattle Kraken-Atlanta Supra-
68 - 2024-06-12752Boston Bruins-Seattle Kraken-
70 - 2024-06-14777Miami Heat-Seattle Kraken-
71 - 2024-06-15788Seattle Kraken-Vancouver Knights-
73 - 2024-06-17804Seattle Kraken-New York Rangers-
75 - 2024-06-19820Anaheim Icehawks-Seattle Kraken-
77 - 2024-06-21843Seattle Kraken-Nunavut Mystery-
78 - 2024-06-22851Seattle Kraken-Detroit Red Wings-
79 - 2024-06-23861Edmonton Oilers-Seattle Kraken-
81 - 2024-06-25879San Jose Rhinos-Seattle Kraken-
83 - 2024-06-27903St-Johns Desperados-Seattle Kraken-
85 - 2024-06-29921Seattle Kraken-Boston Bruins-
86 - 2024-06-30936Nunavut Mystery-Seattle Kraken-
87 - 2024-07-01947Seattle Kraken-Washington Budweiser-
88 - 2024-07-02958Seattle Kraken-Colorado Zipper-
89 - 2024-07-03968Seattle Kraken-Miami Heat-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
91 - 2024-07-05984Halifax Thunder-Seattle Kraken-
92 - 2024-07-061006Washington Budweiser-Seattle Kraken-
94 - 2024-07-081027Seattle Kraken-Anaheim Icehawks-
95 - 2024-07-091038Anaheim Icehawks-Seattle Kraken-
96 - 2024-07-101051Seattle Kraken-Toronto Maple Leafs-
97 - 2024-07-111058Seattle Kraken-London Spartiates-
98 - 2024-07-121075Toronto Maple Leafs-Seattle Kraken-
99 - 2024-07-131089Seattle Kraken-Dallas Storm-
100 - 2024-07-141096Seattle Kraken-Anaheim Icehawks-
102 - 2024-07-161113Seattle Kraken-Hamilton Tigers-
103 - 2024-07-171118Winnipeg Jets-Seattle Kraken-
106 - 2024-07-201145St-Louis Blues-Seattle Kraken-
110 - 2024-07-241168Colorado Zipper-Seattle Kraken-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna70006000300050002000
Prix des Billets110704025180
Assistance65,90755,74528,86647,15117,632
Attendance PCT94.15%92.91%96.22%94.30%88.16%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
28 21530 - 93.61% 1,999,091$19,990,914$23000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
20,218,745$ 82,550,000$ 82,550,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
79,550,000$ 18,638,397$ 0$ 21 2

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
55,974,559$ 86 790,625$ 67,993,750$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
71,989,573$ 79,550,000$ 91,689,815$ 78,935,329$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Mitch MarnerAGE:26PO:0OV:81
Alexis LafreniereAGE:21PO:0OV:68
Nick CousinsAGE:30PO:0OV:65
*Martin KautAGE:23PO:0OV:59
*Riley TufteAGE:25PO:0OV:54
Logan ShawAGE:30PO:0OV:54
*William CuylleAGE:21PO:0OV:53
*Gabriel FortierAGE:23PO:0OV:52
Jack EichelAGE:26PO:0OV:81
Vincent TrocheckAGE:30PO:0OV:77
Evan RodriguesAGE:30PO:0OV:72
Dillon DubeAGE:25PO:0OV:71
Lars EllerAGE:34PO:0OV:70
Vinnie HinostrozaAGE:29PO:0OV:61
*Jakub LaukoAGE:23PO:0OV:60
Jaret Anderson-DolanAGE:24PO:0OV:59
*Shane BowersAGE:24PO:0OV:56
*Cameron HughesAGE:26PO:0OV:52
Tyce ThompsonAGE:24PO:0OV:52
Kevin FialaAGE:27PO:0OV:79
Oliver BjorkstrandAGE:28PO:0OV:70
Evgenii DadonovAGE:34PO:0OV:67
*Pontus HolmbergAGE:24PO:0OV:62
Denis GurianovAGE:26PO:0OV:62
*Egor SokolovAGE:23PO:0OV:56
*Aleksi HeponiemiAGE:24PO:0OV:54
Cam AtkinsonAGE:34PO:0OV:53
*Alex Barre-BouletAGE:26PO:0OV:52

Défense #1Défense #2Gardien
Aaron EkbladAGE:27PO:0OV:76
Shea TheodoreAGE:28PO:0OV:75
Bowen ByramAGE:22PO:0OV:74
Ryan SuterAGE:38PO:0OV:72
Torey KrugAGE:32PO:0OV:69
Dante FabbroAGE:25PO:0OV:68
Jeremy LauzonAGE:26PO:0OV:68
Ben HuttonAGE:30PO:0OV:65
*Calen AddisonAGE:23PO:0OV:64
Jordan OesterleAGE:31PO:0OV:63
Kyle CapobiancoAGE:26PO:0OV:60
*Samuel KnazkoAGE:21PO:0OV:59
*Vincent IorioAGE:20PO:0OV:59
Connor CarrickAGE:29PO:0OV:58
*Ryan MerkleyAGE:23PO:0OV:56
*Nicolas BeaudinAGE:23PO:0OV:55
Adin HillAGE:27PO:0OV:73
Cam TalbotAGE:36PO:0OV:72
*Spencer KnightAGE:22PO:0OV:65
Kasimir KaskisuoAGE:29PO:0OV:59

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Albert SjobergSeattle Kraken4367
Andy RogersSeattle Kraken
Arsenii SergeevSeattle Kraken4368
Brandon CoeSeattle Kraken4259
Brendan WarrenSeattle Kraken3254
Caedan BankierSeattle Kraken4470
Cam MorrisonSeattle Kraken3449
Christopher PaquetteSeattle Kraken
Connor HvidstonSeattle Kraken4580
Danil ZhilkinSeattle Kraken4540
Dante SalituroSeattle Kraken3164
David CottonSeattle Kraken32114
David GoyetteSeattle Kraken4518
Dylan LabbeSeattle Kraken2870
Eemil ViroSeattle Kraken4237
Emil HeinemanSeattle Kraken4125
Evan NauseSeattle Kraken4432
Felix BibeauSeattle Kraken4057
Filip WesterlundSeattle Kraken3526
Gavin HayesSeattle Kraken4634
Henrik RybinskiSeattle Kraken4264
Hugo OllasSeattle Kraken41107
Ivan MorozovSeattle Kraken3837
Jakov NovakSeattle Kraken41108
Jalen LuypenSeattle Kraken44102
Jayden StrubleSeattle Kraken4031
Jordan GustafsonSeattle Kraken4548
Jordan SambrookSeattle Kraken3470
Jordan SubbanSeattle Kraken2841
Josh FilmonSeattle Kraken4638
Joshua LopinaSeattle Kraken4454
Justin SourdifSeattle Kraken4137
Kirill TankovSeattle Kraken4486
Kyle SchemppSeattle Kraken29118
Logan HutskoSeattle Kraken3734
Lucas ElvenesSeattle Kraken3548
Luke GreenSeattle Kraken3460
Marc-Andre GaudetSeattle Kraken4664
Mathias LaferriereSeattle Kraken3841
Matthew SpencerSeattle Kraken3240
Mavrik BourqueSeattle Kraken4212
Max WannerSeattle Kraken44110
Mikhail AbramovSeattle Kraken3932
Nikita GrebenkinSeattle Kraken4549
Niko HuuhtanenSeattle Kraken4440
Nikolai ChebykinSeattle Kraken
Pasquale ZitoSeattle Kraken44107
Pavel MintyukovSeattle Kraken467
Raphael LavoieSeattle Kraken4020
Ryan UfkoSeattle Kraken4353
Sasha PastujovSeattle Kraken4425
Sean TschigerlSeattle Kraken4471
Simon JohanssonSeattle Kraken3866
Terrance AmorosaSeattle Kraken27112
Tyler VeselSeattle Kraken29106
Vadim ZherenkoSeattle Kraken4189
Vasiliy PonomarevSeattle Kraken4128

Choix au Repêchage

Année R1R2R3R4
48SEA MIA MON SEA COL MON MIA
49SEA SEA SEA SEA
50SEA SEA SEA SEA
51SEA SEA SEA SEA
52SEA SEA ATL SEA SEA



[2024-03-28 23:57:25] - TRADE : From Seattle Kraken to Atlanta Supra : Alex DeBrincat (76), Lucas Raymond (70), Jakub Demek (P).
[2024-03-28 23:57:25] - TRADE : From Atlanta Supra to Seattle Kraken : Mitch Marner (81), Y:52-RND:2-ATL.
[2024-03-27 08:38:48] - Martin Kaut was added to Seattle Kraken.
[2024-03-26 22:18:00] - TRADE : From Anaheim Icehawks to Seattle Kraken : Spencer Knight (64).
[2024-03-26 22:18:00] - TRADE : From Seattle Kraken to Anaheim Icehawks : Mason Lohrei (P), Y:48-RND:2-SEA.
[2024-03-21 22:30:18] - TRADE : From Seattle Kraken to Moncton Wildcats : Y:47-RND:2-HAL, Y:47-RND:3-NYR, Y:47-RND:3-SEA, Y:47-RND:4-HAL.
[2024-03-21 22:30:18] - TRADE : From Moncton Wildcats to Seattle Kraken : Y:48-RND:2-MON, Y:48-RND:3-COL, Y:48-RND:3-MON, Y:48-RND:4-MIA.
[2024-03-07 21:29:34] - TRADE : From Seattle Kraken to London Spartiates : Jackson LaCombe (60).
[2024-03-07 21:29:34] - TRADE : From London Spartiates to Seattle Kraken : Cam Talbot (72), Kasimir Kaskisuo (58).
[2024-03-06 09:25:48] - TRADE : From Seattle Kraken to Halifax Thunder : Pyotr Kochetkov (71), Alex Turcotte (52), Y:47-RND:1-WAS, Y:48-RND:1-ANA.
[2024-03-06 09:25:48] - TRADE : From Halifax Thunder to Seattle Kraken : Vincent Trocheck (77), Y:47-RND:2-HAL, Y:47-RND:4-HAL.
[2024-03-06 08:53:15] - TRADE : From Washington Budweiser to Seattle Kraken : Kevin Fiala (79).
[2024-03-06 08:53:15] - TRADE : From Seattle Kraken to Washington Budweiser : Lukas Reichel (69), Luke Kunin (67), Alex Nedeljkovic (63), Matthew Poitras (P), Y:47-RND:1-SEA.
[2024-03-02 12:50:10] - Michal Neuvirth was released.
[2024-03-02 12:50:10] - Seattle Kraken paid $0 to release Michal Neuvirth.
[2024-02-03 09:51:12] - Vandals didn't make playoff for year 46.
[2024-02-03 09:51:12] - Seattle Kraken didn't make playoff for year 46.
[2024-01-22 22:15:55] - Lars Eller was added to Seattle Kraken.
[2024-01-22 22:15:55] - Seattle Kraken claimed Lars Eller from waivers by Montreal Canadiens for 500 000 $.
[2024-01-22 22:06:01] - TRADE : From Seattle Kraken to London Spartiates : Alex Goligoski (63).
[2024-01-22 22:04:13] - CJ Suess was released.
[2024-01-22 22:04:13] - Seattle Kraken paid 0 $ to release CJ Suess.



[2024-05-05 00:17:36] Logan Shaw from Vandals is back from Exhaustion.
[2024-05-05 00:16:01] Successfully loaded Seattle Kraken lines done with STHS Client - 3.3.5.5
[2024-05-03 23:35:13] Logan Shaw from Vandals is injured from Exhaustion.
[2024-05-01 22:26:19] Successfully loaded Seattle Kraken lines done with STHS Client - 3.3.5.5
[2024-04-30 22:17:30] Bowen Byram from Seattle Kraken is back from Right Foot Injury.
[2024-04-30 22:17:26] Pro Game #259 - Kevin Fiala from Seattle Kraken has scored a Hat Trick!
[2024-04-30 22:17:26] Game 259 - Bowen Byram from Seattle Kraken is injured (Right Foot) and is out for 3 days.
[2024-04-30 22:17:03] Successfully loaded Seattle Kraken lines done with STHS Client - 3.3.5.5
[2024-04-29 21:03:51] Successfully loaded Seattle Kraken lines done with STHS Client - 3.3.5.5
[2024-04-28 00:16:38] Game 229 - Spencer Knight from Seattle Kraken is injured (Right Forearm) and is out for 2 weeks.
[2024-04-28 00:09:52] Successfully loaded Seattle Kraken lines done with STHS Client - 3.3.5.5
[2024-04-28 00:09:52] Spencer Knight of Seattle Kraken was sent to pro.
[2024-04-26 21:35:17] Jakub Lauko from Vandals is back from Lacerated Left Calf Injury.
[2024-04-25 22:36:39] Successfully loaded Seattle Kraken lines done with STHS Client - 3.3.5.5



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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
4582314102341261289-2841152201021134151-1741161901320127138-11782614356964074928911287295095194442262784364719392875719.86%2825381.21%41036216147.94%904186348.52%637125150.92%1786102517347381429713
4682353503531271265641141802421136141-5412117011101351241188271450721106110210216263385393783433269685262918462546023.62%2884385.07%7925193347.85%917193647.37%611123149.63%1759100617497481446715
471977023005962-310440110031310933012002831-321599215110131727261018719122935911981314107168.45%591377.97%124344254.98%22742553.41%14727952.69%421245395172330166
Total Saison Régulière1837383071172591616-2592334404542301323-2291403903630290293-318759197715686014821121829611519902079200778591418931407419561212320.10%62910982.67%122204453648.59%2048422448.48%1395276150.53%396722773880165932061595