Coachella Valley Firebirds
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Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	Nicolas St-Onge
	Entraîneur	John Tortorella
	Division	Pacific
	Conférence	Western Conference
	Capitaine	Anze Kopitar
	Assistant #1
	Assistant #2	Mathew Barzal
Informations de l’aréna
	Nom	Climate Pledge Arena
	Capacité	17,500
	Assistance
	Billets de saison	7,000
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	14
	Limite contact	35 / 250
	Espoirs	47
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	81,500,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	27,084,633$
	Compte bancaire projeté	27,084,633$

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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	Âge	Contrat	Salaire
1	Rocco Grimaldi	X	X	X		100.00	61	35	93	74	62	89	78	69	71	66	70	64	72	71	73	62	75	0	0	29	3	2,000,000$
2	Sidney Crosby	X				100.00	61	34	87	84	72	91	93	87	90	88	83	66	87	89	94	57	77	0	0	35	1	9,600,000$
3	Nate Thompson	X	X			100.00	72	39	86	62	78	77	81	58	83	61	59	80	56	85	79	21	45	0	0	37	4	750,000$
4	Tyler Pitlick	X		X		100.00	82	36	89	67	79	83	78	64	71	63	62	80	58	73	71	59	77	0	0	30	2	1,000,000$
5	Alex Killorn	X	X	X		100.00	66	38	76	71	77	89	90	72	59	76	75	74	73	81	75	39	78	0	0	33	1	11,200,000$
6	Phillip Danault	X				100.00	67	41	85	76	77	88	90	73	89	74	71	82	70	74	72	65	76	0	0	29	3	3,250,000$
7	Nicholas Paul	X	X	X		100.00	71	35	82	64	89	86	82	66	83	69	65	88	64	68	69	52	77	0	0	27	2	750,000$
8	Mathew Barzal (A)	X	X			100.00	61	35	83	86	75	89	94	81	77	82	74	63	78	67	72	81	77	0	0	25	2	7,000,000$
9	Drake Batherson	X	X	X		100.00	79	37	82	75	83	89	86	72	63	76	77	66	73	64	72	57	77	0	0	24	4	2,500,000$
10	Jordan Kyrou	X	X	X		100.00	57	35	89	82	77	95	92	78	72	81	77	66	78	64	67	74	77	0	0	24	1	832,500$
11	Joel Farabee		X			100.00	64	46	80	78	71	87	89	77	62	72	78	79	76	62	65	84	78	0	0	22	1	925,000$
12	Trevor Zegras	X	X			100.00	59	34	80	78	71	88	85	79	76	80	74	62	80	61	66	86	77	0	0	21	1	925,000$
13	Victor Hedman				X	100.00	66	39	84	76	99	93	92	75	30	91	77	83	59	83	76	56	36	0	0	31	3	8,000,000$
14	Derek Forbort				X	100.00	76	47	68	59	91	88	85	57	30	70	58	87	50	73	71	67	34	0	0	30	3	1,000,000$
15	Brett Pesce				X	100.00	56	34	84	66	85	93	89	64	30	78	65	89	52	71	70	56	67	0	0	27	2	4,025,000$
16	Shea Theodore				X	100.00	56	36	91	82	80	93	90	77	30	85	73	64	59	69	74	68	69	0	0	27	2	5,200,000$
17	Devon Toews				X	100.00	62	35	86	73	76	89	81	74	30	85	73	90	59	69	71	50	64	0	0	28	1	650,000$
18	Mikhail Sergachev				X	100.00	80	78	76	75	87	93	89	73	30	80	64	81	55	66	69	84	52	0	0	24	3	4,800,000$
Rayé
1	Anze Kopitar (C)	X				79.48	63	38	95	73	88	91	87	79	93	84	72	81	76	89	93	51	56	0	0	35	2	8,000,000$
Équipe Mineure
1	Nathan Smith	X				100.00	79	34	82	64	70	84	67	63	78	64	65	56	62	63	64	61	50	0	0	39	4	1,999,999$
2	Matt Martin		X	X		100.00	90	85	74	61	87	78	90	62	58	61	63	57	56	83	73	32	50	0	0	33	4	1,500,000$
3	Brendan Gaunce	X				100.00	76	38	84	64	86	82	89	63	78	62	65	61	63	68	70	66	50	0	0	28	4	750,000$
4	Brendan Lemieux		X	X		100.00	86	82	59	65	80	76	85	64	56	63	62	56	61	67	68	74	50	0	0	26	1	1,650,000$
5	Mario Kempe			X		100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	29	29	11	50	0	0	34	2	900,000$
6	Brett Leason (R)			X		100.00	77	41	87	61	93	75	88	62	57	60	61	64	62	63	65	69	50	0	0	23	1	842,500$
7	Taylor Fedun				X	100.00	68	39	87	59	77	81	69	57	30	58	55	56	45	74	79	23	50	0	0	34	3	775,000$
8	Jordie Benn				X	100.00	67	39	83	61	80	84	82	59	30	73	56	72	49	79	75	23	20	0	0	35	4	1,999,000$
9	Martin Marincin				X	100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	37	33	11	50	0	0	30	3	700,000$
10	Kevin Gravel				X	100.00	78	39	82	54	87	70	88	55	30	56	53	59	46	70	72	50	50	0	0	30	2	850,000$
11	Victor Mete				X	100.00	56	33	84	73	66	86	78	67	30	71	55	72	50	65	64	59	43	0	0	24	3	1,200,000$
12	Tobias Bjornfot				X	100.00	63	35	87	68	74	87	86	66	30	67	55	73	50	61	63	82	47	0	0	21	2	925,000$

	MOYENNE D’ÉQUIPE					98.92	66	40	84	74	80	89	87	72	62	77	71	76	67	73	74	62	67	0

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

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Jacob Markstrom	100.00	82	93	90	94	91	92	94	93	94	81	96	80	86	99	34	0	0	32	4	4,000,000$
2	Carter Hart	100.00	78	92	91	77	80	79	81	80	81	68	85	66	71	99	62	0	0	24	3	3,479,000$
Rayé
Équipe Mineure
1	Michael Houser	100.00	66	71	72	76	68	67	69	68	69	56	74	70	84	99	38	0	0	30	4	1,500,000$
2	Daniil Tarasov	100.00	57	72	70	92	68	67	69	68	69	56	74	63	69	99	50	0	0	23	3	925,000$

	MOYENNE D’ÉQUIPE	100.00	80	93	91	86	86	86	88	87	88	75	91	73	79	99	48	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Tortorella	76	82	72	83	95	89	49	USA	64	2	1,867,450$

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

#	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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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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	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Link
Alex Killorn	Seattle Kraken	C/LW/RW	33	9/14/1989	No	199 Lbs	6 ft1	No	No	No	1	Pro & Farm	11,200,000$	11,200,000$	11,200,000$	11,200,000$	No				Lien
Anze Kopitar (sur la masse salariale)	Seattle Kraken	C	35	7/28/1987	No	225 Lbs	6 ft3	No	No	No	2	Pro & Farm	8,000,000$	8,000,000$	0$	0$	Yes	8,000,000$			Lien
Brett Pesce	Seattle Kraken	D	27	11/15/1994	No	206 Lbs	6 ft3	No	No	No	2	Pro & Farm	4,025,000$	4,025,000$	4,025,000$	4,025,000$	No	4,025,000$			Lien
Carter Hart	Seattle Kraken	G	24	8/13/1998	No	181 Lbs	6 ft2	No	No	No	3	Pro & Farm	3,479,000$	3,479,000$	3,479,000$	3,479,000$	No	3,479,000$	3,479,000$		Lien
Derek Forbort	Seattle Kraken	D	30	3/4/1992	No	217 Lbs	6 ft4	No	No	No	3	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	1,000,000$	1,000,000$		Lien
Devon Toews	Seattle Kraken	D	28	2/21/1994	No	191 Lbs	6 ft1	No	No	No	1	Pro & Farm	650,000$	650,000$	650,000$	650,000$	No				Lien
Drake Batherson	Seattle Kraken	C/LW/RW	24	4/27/1998	No	204 Lbs	6 ft3	No	No	No	4	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	2,500,000$	No	2,500,000$	2,500,000$	2,500,000$	Lien
Jacob Markstrom	Seattle Kraken	G	32	1/31/1990	No	206 Lbs	6 ft6	No	No	No	4	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	4,000,000$	No	4,000,000$	4,000,000$	4,000,000$	Lien
Joel Farabee	Seattle Kraken	LW	22	2/25/2000	No	183 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	925,000$	925,000$	925,000$	No				Lien
Jordan Kyrou	Seattle Kraken	C/LW/RW	24	5/5/1998	No	196 Lbs	6 ft1	No	No	No	1	Pro & Farm	832,500$	832,500$	832,500$	832,500$	No				Lien
Mathew Barzal	Seattle Kraken	C/LW	25	5/26/1997	No	187 Lbs	6 ft1	No	No	No	2	Pro & Farm	7,000,000$	7,000,000$	7,000,000$	7,000,000$	No	7,000,000$			Lien
Mikhail Sergachev	Seattle Kraken	D	24	6/25/1998	No	216 Lbs	6 ft3	No	No	No	3	Pro & Farm	4,800,000$	4,800,000$	4,800,000$	4,800,000$	No	4,800,000$	4,800,000$		Lien
Nate Thompson	Seattle Kraken	C/LW	37	10/5/1984	No	205 Lbs	6 ft1	Yes	No	No	4	Pro & Farm	750,000$	750,000$	750,000$	750,000$	No	750,000$	750,000$	750,000$	Lien
Nicholas Paul	Seattle Kraken	C/LW/RW	27	3/20/1995	No	224 Lbs	6 ft3	No	No	No	2	Pro & Farm	750,000$	750,000$	750,000$	750,000$	No	750,000$			Lien
Phillip Danault	Seattle Kraken	C	29	2/24/1993	No	200 Lbs	6 ft1	No	No	No	3	Pro & Farm	3,250,000$	3,250,000$	3,250,000$	3,250,000$	No	3,250,000$	3,250,000$		Lien
Rocco Grimaldi	Seattle Kraken	C/LW/RW	29	2/8/1993	No	180 Lbs	5 ft6	No	No	No	3	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	2,000,000$	No	2,000,000$	2,000,000$		Lien
Shea Theodore	Seattle Kraken	D	27	8/3/1995	No	197 Lbs	6 ft2	No	No	No	2	Pro & Farm	5,200,000$	5,200,000$	5,200,000$	5,200,000$	No	5,200,000$			Lien
Sidney Crosby	Seattle Kraken	C	35	7/28/1987	No	200 Lbs	5 ft11	No	No	No	1	Pro & Farm	9,600,000$	9,600,000$	9,600,000$	9,600,000$	No				Lien
Trevor Zegras	Seattle Kraken	C/LW	21	3/20/2001	No	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	925,000$	925,000$	925,000$	No				Lien
Tyler Pitlick	Seattle Kraken	C/RW	30	11/1/1991	No	200 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	1,000,000$			Lien
Victor Hedman	Seattle Kraken	D	31	12/18/1990	No	241 Lbs	6 ft6	No	No	No	3	Pro & Farm	8,000,000$	8,000,000$	8,000,000$	8,000,000$	No	8,000,000$	8,000,000$		Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	28.29	202 Lbs	6 ft2	2.29	3,804,119$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
79,886,500$	55,754,000$	29,779,000$	7,250,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Trevor Zegras	Sidney Crosby	Alex Killorn	38	0	1	4
2	Joel Farabee	Mathew Barzal	Jordan Kyrou	37	0	1	4
3	Nicholas Paul	Phillip Danault	Drake Batherson	20	0	2	3
4	Nate Thompson	Phillip Danault	Tyler Pitlick	5	0	3	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Shea Theodore	Devon Toews	35	1	2	2
2	Mikhail Sergachev	Victor Hedman	25	0	2	3
3	Derek Forbort	Brett Pesce	25	1	2	2
4	Mikhail Sergachev	Victor Hedman	15	0	2	3

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Trevor Zegras	Sidney Crosby	Alex Killorn	50	0	1	4
2	Joel Farabee	Mathew Barzal	Jordan Kyrou	50	0	1	4

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Victor Hedman	Shea Theodore	50	0	1	4
2	Devon Toews	Mikhail Sergachev	50	0	1	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nicholas Paul	Tyler Pitlick	60	0	4	1
2	Phillip Danault	Nate Thompson	40	0	4	1

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brett Pesce	Derek Forbort	55	0	4	1
2	Devon Toews	Victor Hedman	45	0	4	1

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Nicholas Paul	50	0	4	1	Brett Pesce	Derek Forbort	55	0	4	1
2	Phillip Danault	50	0	4	1	Mikhail Sergachev	Devon Toews	45	0	4	1

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Phillip Danault	Mathew Barzal	55	0	0	5
2	Sidney Crosby	Trevor Zegras	45	0	0	5

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Devon Toews	Brett Pesce	55	0	3	2
2	Mikhail Sergachev	Shea Theodore	45	0	3	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Mathew Barzal	Sidney Crosby	Jordan Kyrou	Devon Toews	Victor Hedman

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Nicholas Paul	Phillip Danault	Tyler Pitlick	Brett Pesce	Devon Toews

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Sidney Crosby, Joel Farabee, Mathew Barzal	Sidney Crosby, Mathew Barzal	Nicholas Paul

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Victor Hedman, Brett Pesce, Mikhail Sergachev	Victor Hedman	Devon Toews, Brett Pesce

Tirs de pénalité
Sidney Crosby, Joel Farabee, Jordan Kyrou, Drake Batherson, Alex Killorn

Gardien
#1 : Jacob Markstrom, #2 : Carter Hart

Lignes d’attaque personnalisées en prolongation
Sidney Crosby, Joel Farabee, Mathew Barzal, Phillip Danault, Alex Killorn, Trevor Zegras, Trevor Zegras, Drake Batherson, Jordan Kyrou, Nicholas Paul, Tyler Pitlick

Lignes de défense personnalisées en prolongation
Victor Hedman, Devon Toews, Mikhail Sergachev, Shea Theodore, Brett Pesce

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

	Total												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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
0	0	N/A	0	0	0	0	0	0	0	0	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
0	0	0	0	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
0	0	0.00%	0	0	0.00%	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
0	0	0	0	0	0	0	0

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
0	0	0.00%	0	0	0.00%	0	0	0.00%

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
0	0	0	0	0	0

Derniers matchs 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	SO	RI	Lien

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	4400	2600	3700	800
Prix des billets	100	60	35	25	200
Assistance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
41	0 - 0.00%	0$	0$	17500	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	71,886,500$	60,906,019$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	0$	20	1

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	14	0$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	27,084,633$	27,084,633$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	81,500,000$	81,500,000$	-59,600,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Trevor Zegras	AGE:21	PO:86	OV:0
Joel Farabee	AGE:22	PO:84	OV:0
Mathew Barzal	AGE:25	PO:81	OV:0
Brendan Lemieux	AGE:26	PO:74	OV:0
Jordan Kyrou	AGE:24	PO:74	OV:0
Rocco Grimaldi	AGE:29	PO:62	OV:0
Drake Batherson	AGE:24	PO:57	OV:0
Nicholas Paul	AGE:27	PO:52	OV:0
Alex Killorn	AGE:33	PO:39	OV:0
Matt Martin	AGE:33	PO:32	OV:0
Nate Thompson	AGE:37	PO:21	OV:0

Trevor Zegras	AGE:21	PO:86	OV:0
Mathew Barzal	AGE:25	PO:81	OV:0
Jordan Kyrou	AGE:24	PO:74	OV:0
Brendan Gaunce	AGE:28	PO:66	OV:0
Phillip Danault	AGE:29	PO:65	OV:0
Rocco Grimaldi	AGE:29	PO:62	OV:0
Nathan Smith	AGE:39	PO:61	OV:0
Tyler Pitlick	AGE:30	PO:59	OV:0
Sidney Crosby	AGE:35	PO:57	OV:0
Drake Batherson	AGE:24	PO:57	OV:0
Nicholas Paul	AGE:27	PO:52	OV:0
Anze Kopitar	AGE:35	PO:51	OV:0
Alex Killorn	AGE:33	PO:39	OV:0
Nate Thompson	AGE:37	PO:21	OV:0

Brendan Lemieux	AGE:26	PO:74	OV:0
Jordan Kyrou	AGE:24	PO:74	OV:0
Brett Leason (R)	AGE:23	PO:69	OV:0
Rocco Grimaldi	AGE:29	PO:62	OV:0
Tyler Pitlick	AGE:30	PO:59	OV:0
Drake Batherson	AGE:24	PO:57	OV:0
Nicholas Paul	AGE:27	PO:52	OV:0
Alex Killorn	AGE:33	PO:39	OV:0
Matt Martin	AGE:33	PO:32	OV:0
Mario Kempe	AGE:34	PO:11	OV:0

Défense #1

Défense #2

Gardien

Mikhail Sergachev	AGE:24	PO:84	OV:0
Tobias Bjornfot	AGE:21	PO:82	OV:0
Shea Theodore	AGE:27	PO:68	OV:0
Derek Forbort	AGE:30	PO:67	OV:0
Victor Mete	AGE:24	PO:59	OV:0
Victor Hedman	AGE:31	PO:56	OV:0

Brett Pesce	AGE:27	PO:56	OV:0
Kevin Gravel	AGE:30	PO:50	OV:0
Devon Toews	AGE:28	PO:50	OV:0
Taylor Fedun	AGE:34	PO:23	OV:0
Jordie Benn	AGE:35	PO:23	OV:0
Martin Marincin	AGE:30	PO:11	OV:0

Jacob Markstrom	AGE:32	PO:99	OV:0
Michael Houser	AGE:30	PO:99	OV:0
Carter Hart	AGE:24	PO:99	OV:0
Daniil Tarasov	AGE:23	PO:99	OV:0

Espoirs

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Information	Lien
Alexandr Daryin	Seattle Kraken
Alexei Polodyan	Seattle Kraken
Andrei Altybarmakyan	Seattle Kraken
Brendan Budy	Seattle Kraken
Brett Leason	Seattle Kraken
Carter Gylander	Seattle Kraken
Cole Guttman	Seattle Kraken
Daniil Tarasov	Seattle Kraken
Danil Savunov	Seattle Kraken
Dmitry Sokolov	Seattle Kraken
Eric Hjorth	Seattle Kraken
Fabian Wagner	Seattle Kraken
Fraser Minten	Seattle Kraken
Gleb Nosov	Seattle Kraken
Gleb Trikozov	Seattle Kraken
Griffen Outhouse	Seattle Kraken
Grigori Denisenko	Seattle Kraken
Gustav Berglund	Seattle Kraken
Hardy Haman Aktell	Seattle Kraken
Igor Shvyrev	Seattle Kraken
Ilya Altybarmakyan	Seattle Kraken
Ilya Fedotov	Seattle Kraken
Joel Persson	Seattle Kraken
Kirill Tyutyayev	Seattle Kraken
Konrad Abeltshauser	Seattle Kraken
Marcus Karlberg	Seattle Kraken
Markus Vidicek	Seattle Kraken
Matyas Sapovaliv	Seattle Kraken
Maxim Denezhkin	Seattle Kraken
Maxwell Crozier	Seattle Kraken
Michael Eyssimont	Seattle Kraken
Mikhail Shalagin	Seattle Kraken
Nick Abruzzese	Seattle Kraken
Nick Malik	Seattle Kraken
Nikita Gusev	Seattle Kraken
Nikita Nesterenko	Seattle Kraken
Noah Ostlund	Seattle Kraken
Otto Salin	Seattle Kraken
Ruslan Iskhakov	Seattle Kraken
Scott Perunovich	Seattle Kraken
Stephane Da Costa	Seattle Kraken
Tim Soderlund	Seattle Kraken
Trevor Zegras	Seattle Kraken
Tyler Gron	Seattle Kraken
Vadim Shipachev	Seattle Kraken
Wouter Peeters	Seattle Kraken
Yegor Savikov	Seattle Kraken

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
20	SEA	SEA	SEA	SEA ARI	SEA	SEA	SEA
21	SEA	SEA	SEA	SEA	SEA	SEA	SEA
22	SEA	SEA	SEA	SEA	SEA	SEA	SEA
23	SEA	SEA	SEA	SEA	SEA	SEA	SEA
24	SEA	SEA	SEA	SEA	SEA	SEA	SEA

La base de données des nouvelles du STHS n'a pas été trouvée. Veuillez en créer une de la section Gestion des nouvelles de la ligue ou du STHS.

Seattle Kraken Historique de transactions

[4/3/2023 2:22:31 PM] - Seattle Kraken didn't make playoff for year 19.
[1/2/2023 6:02:53 PM] - New Record for Team's Most Shots (54) in 1 Game for Seattle Kraken!
[11/4/2022 5:32:42 PM] - Jason Robertson has been deleted from Seattle Kraken.
[10/18/2022 5:22:50 PM] - TRADE : From Boston Bruins to Seattle Kraken : Victor Hedman, Y:20-RND:4-ARI.
[10/18/2022 5:22:50 PM] - TRADE : From Seattle Kraken to Boston Bruins : Miro Heiskanen, Nicholas Robertson (P).
[10/1/2022 10:15:53 AM] - Team Name Change : Chartlotte Checkers 2 changed name to Coachella Valley Firebirds
[9/22/2022 9:31:30 PM] - Henrik Lundqvist was released.
[9/22/2022 9:31:30 PM] - Reece Scarlett was released.
[9/22/2022 9:31:30 PM] - Matt Hendricks was released.
[9/22/2022 9:31:30 PM] - Tanner Glass was released.
[9/22/2022 9:31:30 PM] - Jamie McBain was released.
[9/22/2022 9:31:30 PM] - Justin Williams was released.

[4/3/2023 2:14:43 PM] Seattle Kraken are expected to be over the salary cap by $2,319,290!
[4/3/2023 1:25:46 PM] Seattle Kraken are expected to be over the salary cap by $2,319,290!
[4/2/2023 6:09:03 PM] Seattle Kraken are expected to be over the salary cap by $2,319,290!
[4/2/2023 6:04:11 PM] Seattle Kraken are expected to be over the salary cap by $2,319,290!
[4/2/2023 6:03:42 PM] Coachella Valley Firebirds lines for next game are empty. Current rosters/lines are not erased. But, Seattle Kraken lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[4/1/2023 6:54:44 PM] Seattle Kraken are expected to be over the salary cap by $2,319,290!
[3/31/2023 6:02:32 PM] Seattle Kraken are expected to be over the salary cap by $2,319,290!
[3/31/2023 6:02:17 PM] Coachella Valley Firebirds lines for next game are empty. Current rosters/lines are not erased. But, Seattle Kraken lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[3/30/2023 5:40:55 PM] Seattle Kraken are expected to be over the salary cap by $2,319,290!
[3/30/2023 5:40:40 PM] Coachella Valley Firebirds lines for next game are empty. Current rosters/lines are not erased. But, Seattle Kraken lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[3/30/2023 5:38:10 PM] Successfully loaded Seattle Kraken lines done with STHS Client - 3.3.5.5
[3/30/2023 5:38:10 PM] Nate Thompson of Seattle Kraken was sent to pro.
[3/29/2023 5:27:33 PM] Seattle Kraken are expected to be over the salary cap by $2,300,905!
[3/29/2023 9:08:24 AM] Seattle Kraken are expected to be over the salary cap by $2,300,905!
[3/29/2023 9:08:10 AM] Coachella Valley Firebirds lines for next game are empty. Current rosters/lines are not erased. But, Seattle Kraken lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[3/29/2023 9:08:09 AM] Game 1271 - Anze Kopitar from Seattle Kraken is injured (Broken Bone (Left Arm)) and is out for 2 weeks.
[3/28/2023 5:34:02 PM] Seattle Kraken are expected to be over the salary cap by $2,575,417!
[3/28/2023 5:30:10 PM] Seattle Kraken are expected to be over the salary cap by $2,575,417!
[3/28/2023 5:29:26 PM] Coachella Valley Firebirds lines for next game are empty. Current rosters/lines are not erased. But, Seattle Kraken lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[3/28/2023 5:29:26 PM] Last 7 Days Pro Star : 1 - Mathew Barzal of Seattle Kraken (3-5-8) / 2 - Sidney Crosby of Seattle Kraken (3-5-8) / 3 - Anze Kopitar of Seattle Kraken (2-6-8)
[3/28/2023 5:28:06 PM] Successfully loaded Seattle Kraken lines done with STHS Client - 3.3.5.5
[3/28/2023 5:28:06 PM] Jordie Benn of Seattle Kraken was sent down to farm.
[3/28/2023 8:28:42 AM] Seattle Kraken are expected to be over the salary cap by $2,663,608!
[3/27/2023 5:36:37 PM] Seattle Kraken are expected to be over the salary cap by $2,663,608!
[3/27/2023 5:36:18 PM] Coachella Valley Firebirds lines for next game are empty. Current rosters/lines are not erased. But, Seattle Kraken lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[3/27/2023 5:34:09 PM] Successfully loaded Seattle Kraken lines done with STHS Client - 3.3.5.5
[3/27/2023 1:41:01 PM] Seattle Kraken are expected to be over the salary cap by $2,663,608!
[3/27/2023 1:16:20 PM] Seattle Kraken are expected to be over the salary cap by $2,663,608!
[3/27/2023 1:16:04 PM] Coachella Valley Firebirds lines for next game are empty. Current rosters/lines are not erased. But, Seattle Kraken lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[3/26/2023 6:13:13 PM] Seattle Kraken are expected to be over the salary cap by $2,663,608!
[3/25/2023 5:56:22 PM] Seattle Kraken are expected to be over the salary cap by $2,663,608!

Anze Kopitar est dehors pour 1 semaine à cause de Broken Bone (Left Arm) Injury.

Seattle Kraken Leaders statistiques (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Seattle Kraken Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Seattle Kraken Statistiques de l'Équipe de Carrière

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	Total											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

Seattle Kraken Leaders statistiques (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Seattle Kraken Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Seattle Kraken
	GP: 0 \| W: 0 \| L: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% DG: Nicolas St-Onge \| Morale : 99 \| Moyenne d’équipe : N/A