Association Québécoise de Hockey Simulé

Association Québécoise de Hockey Simulé - Seattle Kraken

Seattle Kraken

GP: 12 | W: 5 | L: 4 | OTL: 3 | P: 13
GF: 35 | GA: 43 | PP%: 12.20% | PK%: 78.05%
DG: Pierre-Alexandre Racine | Morale : 90 | Moyenne d'Équipe : 71
Prochain matchs #199 vs Colorado Zipper

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Informations Joueurs
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Historique
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Stats d'équipe en Carrière

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any 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	SP
1	Jack Eichel (A)	X				100.00	66	45	93	94	73	94	81	85	75	88	83	75	86	86	82	0	90	81	0
2	Mitch Marner		X			100.00	61	45	85	99	56	99	97	90	30	99	81	93	88	85	83	0	90	81	0
3	Kevin Fiala			X		100.00	63	45	74	95	64	88	83	88	30	98	77	57	86	86	81	0	90	79	0
4	Vincent Trocheck	X				100.00	97	51	76	93	56	97	99	77	86	82	72	66	75	89	85	0	90	77	0
5	Evan Rodrigues	X				100.00	57	45	83	88	56	89	83	68	79	67	69	68	85	89	84	0	90	72	0
6	Dillon Dube	X				100.00	84	48	79	88	56	76	99	68	75	67	68	68	71	84	76	0	90	71	0
7	Lars Eller	X				100.00	71	45	80	79	72	74	99	56	84	53	60	78	68	93	85	0	90	70	0
8	Oliver Bjorkstrand			X		100.00	63	45	90	89	53	78	98	68	30	65	70	62	70	88	81	0	90	70	0
9	Alexis Lafreniere		X			100.00	86	48	84	84	65	76	98	65	30	63	66	66	79	81	73	0	90	68	0
10	Evgenii Dadonov			X		100.00	56	45	88	85	58	74	88	64	30	69	58	58	69	94	86	0	90	67	0
11	Nick Cousins		X			100.00	71	51	82	83	60	55	95	59	79	59	59	57	68	89	77	0	90	65	0
12	Pontus Holmberg (R)			X		100.00	60	45	82	82	67	52	45	59	73	58	61	56	68	84	71	0	90	62	0
13	Aaron Ekblad (C)				X	100.00	70	45	69	87	76	98	86	71	30	68	74	74	71	87	84	0	90	76	0
14	Shea Theodore (A)				X	100.00	52	45	86	95	63	89	66	79	30	89	68	80	85	87	82	0	90	75	0
15	Bowen Byram				X	100.00	91	51	70	91	58	91	51	73	30	67	79	79	72	81	77	0	90	74	0
16	Ryan Suter				X	100.00	68	45	86	82	65	85	99	58	30	62	55	71	67	98	92	0	90	72	0
17	Dante Fabbro				X	100.00	79	45	78	79	55	73	95	51	30	49	53	76	65	84	75	0	90	68	0
18	Jeremy Lauzon				X	99.00	99	57	68	78	65	70	81	53	30	51	56	72	66	85	76	0	90	68	0
Rayé
1	Gabriel Fortier (R)		X			100.00	50	45	95	79	50	50	40	45	30	40	50	55	50	83	70	0	90	52	0

	MOYENNE D'ÉQUIPE					99.95	71	47	81	87	61	79	83	67	48	68	66	69	73	87	80	0	90	71

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any 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	SP
1	Cam Talbot	100.00	80	70	80	87	82	78	80	78	82	77	99	95	89	0	90	72	0
2	Kasimir Kaskisuo	100.00	70	40	40	88	65	65	65	65	65	65	65	87	74	0	90	59	0
Rayé
1	Adin Hill	30.82	85	61	79	93	86	82	85	82	86	83	99	86	79	0	90	73	0

	MOYENNE D'ÉQUIPE	76.67	78	57	66	89	78	75	77	75	78	75	88	89	81	0	90	68

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jim Montgomery	86	99	98	75	88	76	64	CAN	54	3	6,000,000$

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	PSG	PSS	FL	S1	S2	S3
1	Kevin Fiala	Seattle Kraken	RW	12	5	7	12	3	8	0	23	12	38	8	23	13.16%	3	211	17.61	1	2	3	8	42	1	2	0	0	25.00%	12	16	3	1.14	0	0	0	2	0	0
2	Jack Eichel	Seattle Kraken	C	12	4	8	12	2	0	0	12	16	28	8	24	14.29%	9	245	20.43	2	2	4	5	42	0	30	0	1	54.36%	241	1	3	0.98	0	0	0	0	1	1
3	Vincent Trocheck	Seattle Kraken	C	12	5	5	10	3	4	0	17	20	38	15	22	13.16%	7	195	16.25	0	0	0	3	31	0	4	1	0	58.08%	198	6	1	1.03	0	0	0	1	0	1
4	Mitch Marner	Seattle Kraken	LW	10	4	5	9	2	0	0	16	14	27	6	20	14.81%	7	191	19.13	0	1	1	4	33	3	29	1	0	38.89%	18	11	2	0.94	0	0	0	1	1	0
5	Oliver Bjorkstrand	Seattle Kraken	RW	12	3	5	8	3	2	0	14	14	24	6	19	12.50%	0	185	15.49	0	0	0	2	31	0	0	0	0	40.00%	15	8	2	0.86	0	0	0	0	0	0
6	Evan Rodrigues	Seattle Kraken	C	12	2	4	6	-5	2	0	12	15	25	4	13	8.00%	3	173	14.48	0	1	1	0	8	4	28	1	0	53.27%	107	8	2	0.69	0	0	0	0	0	0
7	Alexis Lafreniere	Seattle Kraken	LW	12	3	1	4	2	8	0	20	19	24	4	6	12.50%	10	214	17.86	0	0	0	4	32	0	2	0	1	33.33%	12	2	4	0.37	0	0	0	1	0	1
8	Bowen Byram	Seattle Kraken	D	12	1	3	4	-3	8	0	19	21	19	7	6	5.26%	18	229	19.13	0	1	1	1	29	1	33	0	0	0.00%	0	8	10	0.35	0	0	0	0	0	0
9	Ryan Suter	Seattle Kraken	D	12	1	3	4	0	0	0	7	18	8	3	5	12.50%	8	189	15.81	0	0	0	0	6	0	13	0	0	0.00%	0	1	8	0.42	1	1	0	0	0	1
10	Dante Fabbro	Seattle Kraken	D	12	0	4	4	4	9	5	19	26	8	4	2	0.00%	15	254	21.24	0	0	0	0	0	0	22	0	0	0.00%	0	1	13	0.31	0	0	1	0	0	0
11	Dillon Dube	Seattle Kraken	C	12	3	1	4	-4	4	0	18	13	17	9	10	17.65%	3	133	11.14	0	0	0	0	0	0	4	2	0	100.00%	7	7	1	0.60	0	0	0	0	0	1
12	Aaron Ekblad	Seattle Kraken	D	12	2	1	3	-4	12	0	14	16	24	6	9	8.33%	21	258	21.54	2	0	2	3	42	0	32	0	0	0.00%	0	5	3	0.23	0	0	0	0	0	0
13	Shea Theodore	Seattle Kraken	D	12	0	3	3	-7	8	0	7	13	29	10	19	0.00%	15	258	21.54	0	1	1	3	43	1	29	0	0	0.00%	0	7	4	0.23	0	0	0	0	0	0
14	Lars Eller	Seattle Kraken	C	12	1	1	2	-5	2	0	7	13	9	7	6	11.11%	4	148	12.35	0	0	0	0	0	0	28	0	0	58.14%	129	4	5	0.27	0	0	0	0	0	1
15	Jeremy Lauzon	Seattle Kraken	D	12	0	2	2	2	14	0	25	26	10	8	4	0.00%	14	259	21.65	0	0	0	0	26	0	1	0	0	0.00%	0	0	8	0.15	0	0	0	0	0	0
16	Pontus Holmberg	Seattle Kraken	RW	12	1	0	1	-4	2	0	10	5	21	8	17	4.76%	0	117	9.83	0	0	0	0	0	0	0	0	0	100.00%	2	4	3	0.17	0	0	0	0	0	0
17	Nick Cousins	Seattle Kraken	LW	12	0	1	1	-3	2	0	13	10	13	7	10	0.00%	1	130	10.89	0	0	0	0	0	0	0	0	0	0.00%	4	4	1	0.15	0	0	0	0	0	0
18	Evgenii Dadonov	Seattle Kraken	RW	12	0	1	1	-4	0	0	7	6	11	9	10	0.00%	2	132	11.05	0	0	0	0	0	0	0	0	0	28.57%	7	2	2	0.15	0	0	0	0	0	0
19	Gabriel Fortier	Seattle Kraken	LW	2	0	0	0	-1	2	0	1	0	2	0	0	0.00%	0	21	10.86	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				216	35	55	90	-19	87	5	261	277	375	129	225	9.33%	140	3552	16.45	5	8	13	33	371	10	264	5	2	54.39%	752	95	75	0.51	1	1	1	5	2	6

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	GA	SA	SAR	A	ST	BG	S2
1	Cam Talbot	Seattle Kraken	9	3	3	3	0.889	3.54	491	29	262	122	2	7	5	0
2	Adin Hill	Seattle Kraken	4	1	1	0	0.890	3.77	175	11	100	50	0	4	1	1
3	Spencer Knight	Vandals (SEA)	1	1	0	0	0.875	3.00	60	3	24	10	0	1	2	0
Stats d'équipe Total ou en Moyenne			14	5	4	3	0.889	3.55	726	43	386	182	2	12	8	1

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial
Aaron Ekblad	Seattle Kraken	D	27	1996-02-07	No	215 Lbs	6 ft4	No	No	No	1	Avec Restriction	Pro & Farm	7,500,000$	7,500,000$	6,361,607$	No
Adin Hill (Sur la Masse Salariale)	Seattle Kraken	G	27	1996-05-11	No	215 Lbs	6 ft4	No	No	No	2	Avec Restriction	Pro & Farm	2,000,000$	0$	0$	Yes
Alexis Lafreniere	Seattle Kraken	LW	21	2001-10-11	No	195 Lbs	6 ft1	No	No	No	3	Avec Restriction	Pro & Farm	3,000,000$	3,000,000$	2,544,643$	No
Bowen Byram	Seattle Kraken	D	22	2001-06-13	No	190 Lbs	6 ft1	No	No	No	3	Avec Restriction	Pro & Farm	3,000,000$	3,000,000$	2,544,643$	No
Cam Talbot	Seattle Kraken	G	36	1987-07-05	No	201 Lbs	6 ft4	No	No	No	2	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$	3,392,857$	No
Dante Fabbro	Seattle Kraken	D	25	1998-06-20	No	189 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	2,500,000$	2,500,000$	2,120,536$	No
Dillon Dube	Seattle Kraken	C	25	1998-07-20	No	185 Lbs	5 ft11	No	No	No	2	Avec Restriction	Pro & Farm	2,000,000$	2,000,000$	1,696,429$	No
Evan Rodrigues	Seattle Kraken	C	30	1993-07-28	No	184 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	3,200,000$	3,200,000$	2,714,286$	No
Evgenii Dadonov	Seattle Kraken	RW	34	1989-03-12	No	189 Lbs	5 ft11	No	No	No	4	Sans Restriction	Pro & Farm	2,000,000$	2,000,000$	1,696,429$	No
Gabriel Fortier	Seattle Kraken	LW	23	2000-02-06	Yes	177 Lbs	5 ft10	No	No	No	2	Avec Restriction	Pro & Farm	750,000$	750,000$	636,161$	No
Jack Eichel	Seattle Kraken	C	26	1996-10-28	No	207 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	9,000,000$	9,000,000$	7,633,929$	No
Jeremy Lauzon	Seattle Kraken	D	26	1997-04-28	No	204 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	1,100,000$	1,100,000$	933,036$	No
Kasimir Kaskisuo	Seattle Kraken	G	29	1993-10-02	No	203 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	700,000$	700,000$	593,750$	No
Kevin Fiala	Seattle Kraken	RW	27	1996-07-22	No	204 Lbs	5 ft10	No	No	No	1	Avec Restriction	Pro & Farm	5,500,000$	5,500,000$	4,665,179$	No
Lars Eller	Seattle Kraken	C	34	1989-05-08	No	205 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	2,750,000$	2,750,000$	2,332,589$	No
Mitch Marner	Seattle Kraken	LW	26	1997-05-05	No	181 Lbs	6 ft0	No	No	No	5	Avec Restriction	Pro & Farm	9,600,000$	9,600,000$	8,142,857$	No
Nick Cousins	Seattle Kraken	LW	30	1993-07-20	No	192 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$	848,214$	No
Oliver Bjorkstrand	Seattle Kraken	RW	28	1995-04-10	No	175 Lbs	6 ft0	No	No	No	5	Sans Restriction	Pro & Farm	5,400,000$	5,400,000$	4,580,357$	No
Pontus Holmberg	Seattle Kraken	RW	24	1999-03-09	Yes	202 Lbs	6 ft0	No	No	No	4	Avec Restriction	Pro & Farm	900,000$	900,000$	763,393$	No
Ryan Suter	Seattle Kraken	D	38	1985-01-21	No	205 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	3,650,000$	3,650,000$	3,095,982$	No
Shea Theodore	Seattle Kraken	D	28	1995-08-03	No	197 Lbs	6 ft2	No	No	No	4	Sans Restriction	Pro & Farm	6,500,000$	6,500,000$	5,513,393$	No
Vincent Trocheck	Seattle Kraken	C	30	1993-07-11	No	184 Lbs	5 ft11	No	No	No	4	Sans Restriction	Pro & Farm	5,500,000$	5,500,000$	4,665,179$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	28.00	195 Lbs	6 ft1	2.55	3,706,818$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
81,550,000$	59,600,000$	45,600,000$	29,900,000$	15,000,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Alexis Lafreniere	Jack Eichel	Kevin Fiala	30	0	1	4
2	Mitch Marner	Vincent Trocheck	Oliver Bjorkstrand	28	1	1	3
3	Dillon Dube	Evan Rodrigues	Evgenii Dadonov	22	1	2	2
4	Nick Cousins	Lars Eller	Pontus Holmberg	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Shea Theodore	Aaron Ekblad	28	0	3	2
2	Bowen Byram	Ryan Suter	28	1	3	1
3	Jeremy Lauzon	Dante Fabbro	25	1	4	0
4	Jeremy Lauzon	Dante Fabbro	19	1	4	0

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Mitch Marner	Jack Eichel	Kevin Fiala	55	0	0	5
2	Alexis Lafreniere	Vincent Trocheck	Oliver Bjorkstrand	45	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Shea Theodore	Aaron Ekblad	55	0	1	4
2	Bowen Byram	Jeremy Lauzon	45	0	1	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Evan Rodrigues	Mitch Marner	51	1	3	1
2	Lars Eller	Jack Eichel	49	1	3	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Aaron Ekblad	Bowen Byram	53	1	4	0
2	Dante Fabbro	Shea Theodore	47	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Lars Eller	50	0	5	0	Aaron Ekblad	Shea Theodore	50	0	5	0
2	Jack Eichel	50	0	4	1	Dante Fabbro	Bowen Byram	50	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jack Eichel	Mitch Marner	50	1	1	3
2	Vincent Trocheck	Kevin Fiala	50	1	1	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Shea Theodore	Bowen Byram	50	1	2	2
2	Aaron Ekblad	Ryan Suter	50	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Mitch Marner	Jack Eichel	Kevin Fiala	Shea Theodore	Bowen Byram

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Mitch Marner	Lars Eller	Jack Eichel	Shea Theodore	Bowen Byram

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jack Eichel, Mitch Marner, Kevin Fiala	Jack Eichel, Mitch Marner	Mitch Marner

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Shea Theodore, Bowen Byram, Aaron Ekblad	Shea Theodore	Shea 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

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Chicago Blackhawks	1	0	0	0	0	1	0	0	3	4	-1	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	4	7	0	0	1	1	1	0	31	13	7	11	0	39	11	8	17	4	1	25.00%	4	1	75.00%	0	155	278	55.76%	153	281	54.45%	101	183	55.19%	21	12	24	9	16	8
2	Colorado Zipper	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	0	1	0	0	28	11	7	10	0	27	18	8	27	4	0	0.00%	4	2	50.00%	0	155	278	55.76%	153	281	54.45%	101	183	55.19%	21	11	20	9	18	9
3	Dallas Storm	2	0	2	0	0	0	0	0	3	9	-6	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	3	5	8	0	0	1	0	2	0	39	15	14	10	0	74	15	16	38	10	1	10.00%	8	2	75.00%	0	155	278	55.76%	153	281	54.45%	101	183	55.19%	39	21	46	18	33	16
4	Halifax Thunder	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	2	3	-1	1	0.500	2	3	5	0	0	0	1	1	0	35	12	9	14	0	36	13	8	27	2	1	50.00%	4	0	100.00%	0	155	278	55.76%	153	281	54.45%	101	183	55.19%	23	14	21	9	17	8
5	Houston Supernova	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	1	2	1	0	37	13	18	6	0	24	5	13	22	3	0	0.00%	4	1	75.00%	0	155	278	55.76%	153	281	54.45%	101	183	55.19%	20	11	20	9	18	8
6	Los Angeles Kings	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	2	1	1	0	35	11	5	19	0	24	8	4	21	2	0	0.00%	2	0	100.00%	0	155	278	55.76%	153	281	54.45%	101	183	55.19%	26	15	15	8	18	9
7	Moncton Wildcats	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	1	0	0	34	9	11	14	0	28	12	8	22	3	0	0.00%	4	1	75.00%	0	155	278	55.76%	153	281	54.45%	101	183	55.19%	26	15	16	8	17	9
8	Montreal Canadiens	2	1	0	0	1	0	0	0	9	6	3	1	0	0	0	1	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	9	14	23	0	0	1	2	5	1	66	16	22	26	2	71	33	10	46	5	0	0.00%	5	0	100.00%	0	155	278	55.76%	153	281	54.45%	101	183	55.19%	44	27	42	18	33	16
9	San Jose Rhinos	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	9	14	0	0	1	1	3	0	32	4	12	16	0	29	16	6	19	2	1	50.00%	3	1	66.67%	0	155	278	55.76%	153	281	54.45%	101	183	55.19%	21	12	22	9	16	7
10	St-Louis Blues	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	3	4	-1	1	0.500	3	4	7	0	0	0	1	2	0	38	20	4	14	0	34	9	6	22	6	1	16.67%	3	1	66.67%	0	155	278	55.76%	153	281	54.45%	101	183	55.19%	22	13	21	9	16	8
	Total	12	4	4	0	1	3	0	0	35	43	-8	7	2	3	0	1	1	0	0	20	26	-6	5	2	1	0	0	2	0	0	15	17	-2	13	0.542	35	55	90	0	0	7	11	16	1	375	124	109	140	2	386	140	87	261	41	5	12.20%	41	9	78.05%	0	155	278	55.76%	153	281	54.45%	101	183	55.19%	267	156	252	109	207	101
	_Since Last GM Reset	12	4	4	0	1	3	0	0	35	43	-8	7	2	3	0	1	1	0	0	20	26	-6	5	2	1	0	0	2	0	0	15	17	-2	13	0.542	35	55	90	0	0	7	11	16	1	375	124	109	140	2	386	140	87	261	41	5	12.20%	41	9	78.05%	0	155	278	55.76%	153	281	54.45%	101	183	55.19%	267	156	252	109	207	101
	_Vs Conference	8	3	3	0	0	2	0	0	23	30	-7	5	2	2	0	0	1	0	0	14	18	-4	3	1	1	0	0	1	0	0	9	12	-3	8	0.500	23	36	59	0	0	6	7	10	0	240	87	67	86	0	251	82	61	166	31	4	12.90%	28	8	71.43%	0	155	278	55.76%	153	281	54.45%	101	183	55.19%	173	99	171	73	138	67
	_Vs Division	7	3	3	0	0	1	0	0	20	26	-6	4	2	2	0	0	0	0	0	11	14	-3	3	1	1	0	0	1	0	0	9	12	-3	7	0.500	20	32	52	0	0	5	6	9	0	209	74	60	75	0	212	71	53	149	27	3	11.11%	24	7	70.83%	0	155	278	55.76%	153	281	54.45%	101	183	55.19%	151	86	147	64	121	59

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
12	13	W1	35	55	90	375	386	140	87	261	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	4	4	1	3	0	0	35	43

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	2	3	1	1	0	0	20	26

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	1	0	2	0	0	15	17

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	3	0	3	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
41	5	12.20%	41	9	78.05%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
124	109	140	2	7	11	16	1

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
155	278	55.76%	153	281	54.45%	101	183	55.19%

Temps Avec la Rondelle
En Zone Offensive	Contrôle en Zone Offensive	En Zone Défensive	Contrôle en Zone Défensive	En Zone Neutre	Contrôle en Zone Neutre
267	156	252	109	207	101

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	Lien
1 - 2024-04-06	15	Moncton Wildcats	4	Seattle Kraken	1	L		Sommaire du Match
2 - 2024-04-07	28	Montreal Canadiens	4	Seattle Kraken	5	W	X	Sommaire du Match
3 - 2024-04-08	43	Seattle Kraken	1	Dallas Storm	5	L		Sommaire du Match
4 - 2024-04-09	57	Seattle Kraken	4	Montreal Canadiens	2	W		Sommaire du Match
6 - 2024-04-11	71	Seattle Kraken	3	St-Louis Blues	4	L	X	Sommaire du Match
7 - 2024-04-12	83	Seattle Kraken	5	San Jose Rhinos	3	W		Sommaire du Match
9 - 2024-04-14	93	Dallas Storm	4	Seattle Kraken	2	L		Sommaire du Match
11 - 2024-04-16	116	Colorado Zipper	4	Seattle Kraken	1	L		Sommaire du Match
12 - 2024-04-17	133	Los Angeles Kings	3	Seattle Kraken	4	W		Sommaire du Match
14 - 2024-04-19	156	Seattle Kraken	2	Halifax Thunder	3	L	X	Sommaire du Match
15 - 2024-04-20	169	Chicago Blackhawks	4	Seattle Kraken	3	L	X	Sommaire du Match
17 - 2024-04-22	189	Houston Supernova	3	Seattle Kraken	4	W		Sommaire du Match
18 - 2024-04-23	199	Seattle Kraken	-	Colorado Zipper	-
19 - 2024-04-24	221	Calgary Red Bull	-	Seattle Kraken	-
20 - 2024-04-25	229	Seattle Kraken	-	Los Angeles Kings	-
22 - 2024-04-27	245	Seattle Kraken	-	Winnipeg Jets	-
23 - 2024-04-28	259	Regina Pats	-	Seattle Kraken	-
24 - 2024-04-29	279	Seattle Kraken	-	Quebec Nordiques	-
26 - 2024-05-01	289	Houston Supernova	-	Seattle Kraken	-
27 - 2024-05-02	304	Seattle Kraken	-	Chicago Blackhawks	-
29 - 2024-05-04	320	Dallas Storm	-	Seattle Kraken	-
31 - 2024-05-06	343	Seattle Kraken	-	St-Louis Blues	-
32 - 2024-05-07	350	Seattle Kraken	-	Los Angeles Kings	-
33 - 2024-05-08	364	Quebec Nordiques	-	Seattle Kraken	-
34 - 2024-05-09	385	Atlanta Supra	-	Seattle Kraken	-
36 - 2024-05-11	400	Seattle Kraken	-	Calgary Red Bull	-
37 - 2024-05-12	411	Cleveland Bulldogs	-	Seattle Kraken	-
39 - 2024-05-14	428	Seattle Kraken	-	Houston Supernova	-
40 - 2024-05-15	444	Seattle Kraken	-	Cleveland Bulldogs	-
41 - 2024-05-16	456	Detroit Red Wings	-	Seattle Kraken	-
43 - 2024-05-18	473	Seattle Kraken	-	Halifax Thunder	-
44 - 2024-05-19	488	St-Louis Blues	-	Seattle Kraken	-
46 - 2024-05-21	511	Hamilton Tigers	-	Seattle Kraken	-
47 - 2024-05-22	520	Seattle Kraken	-	San Jose Rhinos	-
49 - 2024-05-24	539	Vancouver Knights	-	Seattle Kraken	-
50 - 2024-05-25	556	Seattle Kraken	-	Houston Supernova	-
52 - 2024-05-27	571	Ottawa Lumberjacks	-	Seattle Kraken	-
53 - 2024-05-28	588	Seattle Kraken	-	Moncton Wildcats	-
54 - 2024-05-29	599	London Spartiates	-	Seattle Kraken	-
56 - 2024-05-31	614	Seattle Kraken	-	Ottawa Lumberjacks	-
57 - 2024-06-01	632	Seattle Kraken	-	Edmonton Oilers	-
58 - 2024-06-02	644	Los Angeles Kings	-	Seattle Kraken	-
60 - 2024-06-04	661	Seattle Kraken	-	Regina Pats	-
61 - 2024-06-05	673	New York Rangers	-	Seattle Kraken	-
63 - 2024-06-07	693	Seattle Kraken	-	St-Johns Desperados	-
64 - 2024-06-08	702	Chicago Blackhawks	-	Seattle Kraken	-
66 - 2024-06-10	725	San Jose Rhinos	-	Seattle Kraken	-
67 - 2024-06-11	741	Seattle Kraken	-	Atlanta Supra	-
68 - 2024-06-12	752	Boston Bruins	-	Seattle Kraken	-
70 - 2024-06-14	777	Miami Heat	-	Seattle Kraken	-
71 - 2024-06-15	788	Seattle Kraken	-	Vancouver Knights	-
73 - 2024-06-17	804	Seattle Kraken	-	New York Rangers	-
75 - 2024-06-19	820	Anaheim Icehawks	-	Seattle Kraken	-
77 - 2024-06-21	843	Seattle Kraken	-	Nunavut Mystery	-
78 - 2024-06-22	851	Seattle Kraken	-	Detroit Red Wings	-
79 - 2024-06-23	861	Edmonton Oilers	-	Seattle Kraken	-
81 - 2024-06-25	879	San Jose Rhinos	-	Seattle Kraken	-
83 - 2024-06-27	903	St-Johns Desperados	-	Seattle Kraken	-
85 - 2024-06-29	921	Seattle Kraken	-	Boston Bruins	-
86 - 2024-06-30	936	Nunavut Mystery	-	Seattle Kraken	-
87 - 2024-07-01	947	Seattle Kraken	-	Washington Budweiser	-
88 - 2024-07-02	958	Seattle Kraken	-	Colorado Zipper	-
89 - 2024-07-03	968	Seattle Kraken	-	Miami Heat	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
91 - 2024-07-05	984	Halifax Thunder	-	Seattle Kraken	-
92 - 2024-07-06	1006	Washington Budweiser	-	Seattle Kraken	-
94 - 2024-07-08	1027	Seattle Kraken	-	Anaheim Icehawks	-
95 - 2024-07-09	1038	Anaheim Icehawks	-	Seattle Kraken	-
96 - 2024-07-10	1051	Seattle Kraken	-	Toronto Maple Leafs	-
97 - 2024-07-11	1058	Seattle Kraken	-	London Spartiates	-
98 - 2024-07-12	1075	Toronto Maple Leafs	-	Seattle Kraken	-
99 - 2024-07-13	1089	Seattle Kraken	-	Dallas Storm	-
100 - 2024-07-14	1096	Seattle Kraken	-	Anaheim Icehawks	-
102 - 2024-07-16	1113	Seattle Kraken	-	Hamilton Tigers	-
103 - 2024-07-17	1118	Winnipeg Jets	-	Seattle Kraken	-
106 - 2024-07-20	1145	St-Louis Blues	-	Seattle Kraken	-
110 - 2024-07-24	1168	Colorado Zipper	-	Seattle Kraken	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	7000	6000	3000	5000	2000
Prix des Billets	110	70	40	25	180
Assistance	46,098	38,636	20,414	33,078	12,478
Attendance PCT	94.08%	91.99%	97.21%	94.51%	89.13%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
31	21529 - 93.60%	1,999,689$	13,997,820$	23000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
13,156,692$	79,550,000$	79,550,000$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
79,550,000$	12,245,985$	0$	21	1

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
61,990,346$	95	763,839$	72,564,705$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
77,228,769$	79,550,000$	92,845,813$	81,235,422$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Mitch Marner	AGE:26	PO:0	OV:81
Alexis Lafreniere	AGE:21	PO:0	OV:68
Nick Cousins	AGE:30	PO:0	OV:65
*Martin Kaut	AGE:23	PO:0	OV:59
*Riley Tufte	AGE:25	PO:0	OV:54
Logan Shaw	AGE:30	PO:0	OV:54
*William Cuylle	AGE:21	PO:0	OV:53
*Gabriel Fortier	AGE:23	PO:0	OV:52

Jack Eichel	AGE:26	PO:0	OV:81
Vincent Trocheck	AGE:30	PO:0	OV:77
Evan Rodrigues	AGE:30	PO:0	OV:72
Dillon Dube	AGE:25	PO:0	OV:71
Lars Eller	AGE:34	PO:0	OV:70
Vinnie Hinostroza	AGE:29	PO:0	OV:61
*Jakub Lauko	AGE:23	PO:0	OV:60
Jaret Anderson-Dolan	AGE:24	PO:0	OV:59
*Shane Bowers	AGE:24	PO:0	OV:56
*Cameron Hughes	AGE:26	PO:0	OV:52
Tyce Thompson	AGE:24	PO:0	OV:52

Kevin Fiala	AGE:27	PO:0	OV:79
Oliver Bjorkstrand	AGE:28	PO:0	OV:70
Evgenii Dadonov	AGE:34	PO:0	OV:67
*Pontus Holmberg	AGE:24	PO:0	OV:62
Denis Gurianov	AGE:26	PO:0	OV:62
*Egor Sokolov	AGE:23	PO:0	OV:56
*Aleksi Heponiemi	AGE:24	PO:0	OV:54
Cam Atkinson	AGE:34	PO:0	OV:53
*Alex Barre-Boulet	AGE:26	PO:0	OV:52

Défense #1

Défense #2

Gardien

Aaron Ekblad	AGE:27	PO:0	OV:76
Shea Theodore	AGE:28	PO:0	OV:75
Bowen Byram	AGE:22	PO:0	OV:74
Ryan Suter	AGE:38	PO:0	OV:72
Torey Krug	AGE:32	PO:0	OV:69
Dante Fabbro	AGE:25	PO:0	OV:68
Jeremy Lauzon	AGE:26	PO:0	OV:68
Ben Hutton	AGE:30	PO:0	OV:65

*Calen Addison	AGE:23	PO:0	OV:64
Jordan Oesterle	AGE:31	PO:0	OV:63
Kyle Capobianco	AGE:26	PO:0	OV:60
*Samuel Knazko	AGE:21	PO:0	OV:59
*Vincent Iorio	AGE:20	PO:0	OV:59
Connor Carrick	AGE:29	PO:0	OV:58
*Ryan Merkley	AGE:23	PO:0	OV:56
*Nicolas Beaudin	AGE:23	PO:0	OV:55

Adin Hill	AGE:27	PO:0	OV:73
Cam Talbot	AGE:36	PO:0	OV:72
*Spencer Knight	AGE:22	PO:0	OV:64
Kasimir Kaskisuo	AGE:29	PO:0	OV:59

Éspoirs

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total
Albert Sjoberg	Seattle Kraken	43	67
Andy Rogers	Seattle Kraken
Arsenii Sergeev	Seattle Kraken	43	68
Brandon Coe	Seattle Kraken	42	59
Brendan Warren	Seattle Kraken	32	54
Caedan Bankier	Seattle Kraken	44	70
Cam Morrison	Seattle Kraken	34	49
Christopher Paquette	Seattle Kraken
Connor Hvidston	Seattle Kraken	45	80
Danil Zhilkin	Seattle Kraken	45	40
Dante Salituro	Seattle Kraken	31	64
David Cotton	Seattle Kraken	32	114
David Goyette	Seattle Kraken	45	18
Dylan Labbe	Seattle Kraken	28	70
Eemil Viro	Seattle Kraken	42	37
Emil Heineman	Seattle Kraken	41	25
Evan Nause	Seattle Kraken	44	32
Felix Bibeau	Seattle Kraken	40	57
Filip Westerlund	Seattle Kraken	35	26
Gavin Hayes	Seattle Kraken	46	34
Henrik Rybinski	Seattle Kraken	42	64
Hugo Ollas	Seattle Kraken	41	107
Ivan Morozov	Seattle Kraken	38	37
Jakov Novak	Seattle Kraken	41	108
Jalen Luypen	Seattle Kraken	44	102
Jayden Struble	Seattle Kraken	40	31
Jordan Gustafson	Seattle Kraken	45	48
Jordan Sambrook	Seattle Kraken	34	70
Jordan Subban	Seattle Kraken	28	41
Josh Filmon	Seattle Kraken	46	38
Joshua Lopina	Seattle Kraken	44	54
Justin Sourdif	Seattle Kraken	41	37
Kirill Tankov	Seattle Kraken	44	86
Kyle Schempp	Seattle Kraken	29	118
Logan Hutsko	Seattle Kraken	37	34
Lucas Elvenes	Seattle Kraken	35	48
Luke Green	Seattle Kraken	34	60
Marc-Andre Gaudet	Seattle Kraken	46	64
Mathias Laferriere	Seattle Kraken	38	41
Matthew Spencer	Seattle Kraken	32	40
Mavrik Bourque	Seattle Kraken	42	12
Max Wanner	Seattle Kraken	44	110
Mikhail Abramov	Seattle Kraken	39	32
Nikita Grebenkin	Seattle Kraken	45	49
Niko Huuhtanen	Seattle Kraken	44	40
Nikolai Chebykin	Seattle Kraken
Pasquale Zito	Seattle Kraken	44	107
Pavel Mintyukov	Seattle Kraken	46	7
Raphael Lavoie	Seattle Kraken	40	20
Ryan Ufko	Seattle Kraken	43	53
Sasha Pastujov	Seattle Kraken	44	25
Sean Tschigerl	Seattle Kraken	44	71
Simon Johansson	Seattle Kraken	38	66
Terrance Amorosa	Seattle Kraken	27	112
Tyler Vesel	Seattle Kraken	29	106
Vadim Zherenko	Seattle Kraken	41	89
Vasiliy Ponomarev	Seattle Kraken	41	28

Choix au Repêchage

Année	R1	R2	R3	R4
48	SEA	MIA MON	SEA COL MON	MIA
49	SEA	SEA	SEA	SEA
50	SEA	SEA	SEA	SEA
51	SEA	SEA	SEA	SEA
52	SEA	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.
[2024-01-22 22:03:52] - Seattle Kraken show interest in Lars Eller from waiver.

[2024-04-24 22:56:51] Game 179 - Jakub Lauko from Vandals is injured (Lacerated Left Calf) and is out for 3 days.
[2024-04-24 22:42:35] Successfully loaded Seattle Kraken lines done with STHS Client - 3.3.5.5
[2024-04-23 00:12:44] Successfully loaded Seattle Kraken lines done with STHS Client - 3.3.5.5
[2024-04-23 00:12:44] Spencer Knight of Seattle Kraken was sent to farm.
[2024-04-23 00:12:44] Kasimir Kaskisuo of Seattle Kraken was sent to pro.
[2024-04-20 01:08:28] Successfully loaded Seattle Kraken lines done with STHS Client - 3.3.5.5
[2024-04-19 00:46:27] Successfully loaded Seattle Kraken lines done with STHS Client - 3.3.5.5
[2024-04-19 00:46:27] Spencer Knight of Seattle Kraken was sent to pro.
[2024-04-19 00:46:27] Kasimir Kaskisuo of Seattle Kraken was sent to farm.
[2024-04-17 20:56:56] Mitch Marner from Seattle Kraken is back from Exhaustion.
[2024-04-16 22:00:59] Mitch Marner from Seattle Kraken is injured from Exhaustion.
[2024-04-16 22:00:46] Auto Lines Function has been run for Seattle Kraken.
[2024-04-16 22:00:46] Auto Roster Partial Function has been run for Seattle Kraken.
[2024-04-15 23:31:02] Vinnie Hinostroza from Vandals is back from Exhaustion.
[2024-04-15 23:31:02] Mitch Marner from Seattle Kraken is back from Lower Body Injury.
[2024-04-15 23:31:02] Denis Gurianov from Vandals is back from Exhaustion.
[2024-04-15 23:31:02] Martin Kaut from Vandals is back from Exhaustion.

Pas de Blessure ou de Suspension.

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
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
45	82	31	41	0	2	3	4	1	261	289	-28	41	15	22	0	1	0	2	1	134	151	-17	41	16	19	0	1	3	2	0	127	138	-11	78	261	435	696	4	0	74	92	89	11	2872	950	951	944	42	2627	843	647	1939	287	57	19.86%	282	53	81.21%	4	1036	2161	47.94%	904	1863	48.52%	637	1251	50.92%	1786	1025	1734	738	1429	713
46	82	35	35	0	3	5	3	1	271	265	6	41	14	18	0	2	4	2	1	136	141	-5	41	21	17	0	1	1	1	0	135	124	11	88	271	450	721	1	0	61	102	102	16	2633	853	937	834	33	2696	852	629	1846	254	60	23.62%	288	43	85.07%	7	925	1933	47.85%	917	1936	47.37%	611	1231	49.63%	1759	1006	1749	748	1446	715
47	12	4	4	0	1	3	0	0	35	43	-8	7	2	3	0	1	1	0	0	20	26	-6	5	2	1	0	0	2	0	0	15	17	-2	13	35	55	90	0	0	7	11	16	1	375	124	109	140	2	386	140	87	261	41	5	12.20%	41	9	78.05%	0	155	278	55.76%	153	281	54.45%	101	183	55.19%	267	156	252	109	207	101
Total Saison Régulière	176	70	80	0	6	11	7	2	567	597	-30	89	31	43	0	4	5	4	2	290	318	-28	87	39	37	0	2	6	3	0	277	279	-2	179	567	940	1507	5	0	142	205	207	28	5880	1927	1997	1918	77	5709	1835	1363	4046	582	122	20.96%	611	105	82.82%	11	2116	4372	48.40%	1974	4080	48.38%	1349	2665	50.62%	3813	2188	3736	1596	3083	1531

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