Connexion

Kraken
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Maxime Emery | Morale : 70 | Moyenne d’équipe : 67
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMaxime Emery
EntraîneurDave Cameron
DivisionPacifique
ConférenceConference Ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure20
Limite contact 40 / 60
Espoirs66


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique99-51-19 (0.586%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)5-11
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Zach SanfordXX100.00766587748380977673656975736262087710271900,000$
2Kevin Stenlund (R)XX100.00656094708174737483667064725555090690263900,000$
3Morgan Frost (R)X100.00676094747178748086686667735555090690231900,000$
4Ryan PoehlingXX100.00666097717874777585657067735555090690231900,000$
5Michael AmadioX100.00666094707674747082656967705959090680262900,000$
6Noah Gregor (R)X100.00766092707578807475676869715555090680242900,000$
7MacKenzie Entwistle (R)XX100.00816090708068736777656769675555090670233900,000$
8Brett Leason (R)XX100.00646097708365606770636666675555090650233900,000$
9Clark BishopX100.00766093707960606375696070625555090650261900,000$
10Victor MeteX100.00646095806771636950676277666060090690241900,000$
11William BorgenX100.00836084708571606750666672675555090680251900,000$
12Caleb Jones (R)X100.00716093707672736450676872665656090680251900,000$
13Nicolas BeaudinX100.00676097786860606950697568725555090680221900,000$
14Jakub ZborilX100.007560907077767871506960696655550906802521,100,000$
15Ryan Merkley (R)X100.00636095747171607450666467695555090660223900,000$
16Lucas Carlsson (R)X100.00686094707364606750666868685555090660251900,000$
Rayé
1Olli Juolevi (R)X100.00686096727466606650626770675555090660241900,000$
2Cale FleuryX100.00606060747560606050606060605555090620231900,000$
MOYENNE D’ÉQUIPE100.0070609172767069706466666968565609067
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
1Andrew Hammond100.0076717385707064707271717472087702341900,000$
2Emil Larmi100.0083606073606060606060606060087612251900,000$
Rayé
MOYENNE D’ÉQUIPE100.008066677965656265666666676608766
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Cameron90647673806476CAN6221,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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


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 Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Andrew HammondKraken (SEA)G341988-02-11No215 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLien
Brett LeasonKraken (SEA)LW/RW231999-04-30Yes218 Lbs6 ft5NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Cale FleuryKraken (SEA)D231998-11-19No205 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien
Caleb JonesKraken (SEA)D251997-06-06Yes192 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien
Clark BishopKraken (SEA)C261996-03-29No199 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien
Emil LarmiKraken (SEA)G251996-09-28No185 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$NoLien
Jakub ZborilKraken (SEA)D251997-02-21No200 Lbs6 ft0NoNoNo2Pro & Farm1,100,000$0$0$No1,100,000$Lien
Kevin StenlundKraken (SEA)C/LW261996-09-20Yes211 Lbs6 ft4NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Lucas CarlssonKraken (SEA)D251997-07-05Yes189 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$NoLien
MacKenzie EntwistleKraken (SEA)LW/RW231999-07-14Yes184 Lbs6 ft3NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Michael AmadioKraken (SEA)C261996-05-13No204 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Morgan FrostKraken (SEA)C231999-05-14Yes180 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$NoLien
Nicolas BeaudinKraken (SEA)D221999-10-07No168 Lbs5 ft11NoNoNo1Pro & Farm900,000$0$0$NoLien
Noah GregorKraken (SEA)C241998-07-28Yes185 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Olli JuoleviKraken (SEA)D241998-05-05Yes182 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLien
Ryan MerkleyKraken (SEA)D222000-08-14Yes186 Lbs6 ft0NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Ryan PoehlingKraken (SEA)C/LW231999-01-03No204 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLien
Victor MeteKraken (SEA)D241998-06-07No184 Lbs5 ft9NoNoNo1Pro & Farm900,000$0$0$NoLien
William BorgenKraken (SEA)D251996-12-19No205 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$NoLien
Zach SanfordKraken (SEA)LW/RW271994-11-09No203 Lbs6 ft4NoNoNo1Pro & Farm900,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2024.75195 Lbs6 ft11.55910,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach SanfordRyan PoehlingMacKenzie Entwistle40122
2Kevin StenlundMorgan FrostBrett Leason30122
3Michael AmadioNoah GregorClark Bishop20122
4Zach SanfordMichael AmadioRyan Poehling10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteJakub Zboril40122
2Nicolas BeaudinCaleb Jones30122
3William BorgenLucas Carlsson20122
4Ryan MerkleyVictor Mete10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach SanfordRyan PoehlingMacKenzie Entwistle60122
2Kevin StenlundMorgan FrostBrett Leason40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteJakub Zboril60122
2Nicolas BeaudinCaleb Jones40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zach SanfordRyan Poehling60122
2Morgan FrostKevin Stenlund40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteJakub Zboril60122
2Nicolas BeaudinCaleb Jones40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zach Sanford60122Victor MeteJakub Zboril60122
2Ryan Poehling40122Nicolas BeaudinCaleb Jones40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zach SanfordRyan Poehling60122
2Morgan FrostKevin Stenlund40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteJakub Zboril60122
2Nicolas BeaudinCaleb Jones40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach SanfordRyan PoehlingMacKenzie EntwistleVictor MeteJakub Zboril
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach SanfordRyan PoehlingMacKenzie EntwistleVictor MeteJakub Zboril
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Noah Gregor, Clark Bishop, Michael AmadioNoah Gregor, Clark BishopMichael Amadio
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
William Borgen, Lucas Carlsson, Ryan MerkleyWilliam BorgenLucas Carlsson, Ryan Merkley
Tirs de pénalité
Zach Sanford, Ryan Poehling, Morgan Frost, Kevin Stenlund, Noah Gregor
Gardien
#1 : Andrew Hammond, #2 : Emil Larmi


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,820,000$ 1,820,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Kraken Leaders statistiques (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
1Morgan Frost147568213821229948355810.04%31293119.9415233810101149355.9430.9407
2Michael Amadio16346701162326843885398.53%31271416.65611174610137557.0400.8501
3Ryan Poehling1604161102453621422739210.46%83226114.13134300035151.2300.9001
4Josh Leivo824353962369313534212.57%22180221.98821295010179251.5211.0714
5Caleb Jones133205878197018311315113.25%166230017.3056112800014230.0000.6801

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
1Chris Driedger58252290.8983.56325114219318850300.73315
2Jake Oettinger3324700.9152.931863639110740100.8899
3Pavel Francouz2015230.9022.82121521575820000.66715
4Jonas Johansson113300.9043.3150700282920000.00%0

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
Saison régulière
48235270662630528421412011043031631392441151602323142145-39830553984403126977410295794198099967275981471721423396218.29%3198274.29%31629301853.98%1495281853.05%763137555.49%2075145918645771040537
2021824724061313462598741251203001170126444122120313017613343114346618964171391168212328411241041109838276876355619002577830.35%2294281.66%41770317755.71%1578289154.58%742141352.51%2109151618315681020523
Total Saison régulière16482510127576515431088245230730433326568823728054533182784021265111571808110265213156226241206520212097105552715771273404259614023.49%54812477.37%73399619554.87%3073570953.83%1505278853.98%418529763695114620601061
Séries éliminatoires
41257000004349-65320000020191725000002330-710438212500201012145216012314722490134136318581424.14%651084.62%022248845.49%22851044.71%10421249.06%2952043029115475
2021404000001220-82020000038-520200000912-301223350054301213632530136422411316425.00%11554.55%05912646.83%6513149.62%246338.10%8962102315024
Total Séries éliminatoires16511000005569-14734000002327-4927000003242-10105510516000251415157319615520022626176160431741824.32%761580.26%028161445.77%29364145.71%12827546.55%385266404123205100

Kraken Leaders statistiques (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
1Brendan Leipsic124101402822429.52%222418.72044900002044.4401.2500
2Mike Reilly1211213241315128.33%1927623.0712360000010.00%00.9400
3Jonas Siegenthaler125813-9433184012.50%2430725.63437250001100.00%00.8500
4Ty Dellandrea124812041355498.16%626221.89055800010048.3000.9100
5Jakub Zboril123710-92032152213.64%2129924.98246160001000.00%00.6700

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
1Pavel Francouz125510.9023.8971000464690000.00%0
2Jonas Johansson10100.8574.3941003210000.00%0