Canadian Hockey League

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Meneurs d'équipe

Stats Équipe

Blessure/Suspension
Pas de blessure ou de suspension.

Information d’équipe
	Directeur général	Daniel Pelchat
	Entraîneur	John Tortorella
	Division	Pacific
	Conférence	Western
	Capitaine
	Assistant #1
	Assistant #2
Uniformes

Informations de l’aréna
	Nom	Seb Center
	Capacité	25,000
	Assistance
	Billets de saison	10,000
Information formation
	Équipe Pro	27
	Équipe Mineure	25
	Limite contact	52 / 50
	Espoirs	38
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	90,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	15
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	235,007,497$
	Compte bancaire projeté	235,007,497$
Historique d'équipe
	Saison actuelle	0-0-0 (0PTS)
	Historique	873-638-142 (0.528%)
	Apparitions séries éliminatoires	15
	Historique séries éliminatoires (W-L)	106-89
	Stanley Cup	2

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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	Evan Rodrigues	X				100.00	77	43	81	83	50	80	99	61	80	57	65	63	65	86	83	35	23	67	0	31	1	3,500,000$
2	Jimmy Vesey		X			100.00	57	51	90	75	67	72	72	53	40	46	60	62	70	86	79	35	20	61	0	31	1	2,500,000$
3	Evgeny Kuznetsov		X			100.00	50	52	80	79	69	60	50	61	80	56	60	56	83	88	74	30	20	61	0	32	1	8,500,000$
4	Kailer Yamamoto			X		100.00	58	40	87	81	44	75	51	55	40	47	64	64	90	76	76	60	20	60	0	26	2	2,600,000$
5	Rafael Harvey-Pinard		X			100.00	64	41	83	76	42	60	50	44	40	49	40	62	65	74	67	65	20	54	0	25	3	3,750,000$
6	Zach Bogosian				X	100.00	63	62	79	75	83	76	98	54	40	52	56	72	99	92	84	20	20	69	0	34	1	1,500,000$
7	Ryker Evans				X	100.00	79	47	82	81	59	82	93	60	40	62	58	69	40	70	76	75	20	69	0	23	1	925,000$
8	Matthew Dumba				X	100.00	66	52	71	77	56	75	86	52	40	52	52	68	40	84	80	40	20	65	0	30	1	5,000,000$
9	Caleb Jones				X	100.00	72	48	81	75	60	55	50	46	40	55	36	70	40	78	67	55	20	61	0	27	2	2,300,000$
Rayé
1	Corey Perry			X		100.00	50	66	75	78	71	74	98	60	40	51	69	67	72	99	87	0	20	66	0	39	0	0$
2	Luke Kunin	X				100.00	98	56	75	78	60	79	94	55	82	48	62	76	40	78	79	55	20	66	0	27	2	3,750,000$
3	Tanner Pearson		X			100.00	69	51	88	79	67	74	96	59	40	56	63	68	58	88	81	30	20	66	0	32	1	2,950,000$
4	Zach Aston-Reese	X				100.00	93	52	83	77	63	77	97	54	40	51	56	69	40	84	81	40	20	64	0	30	0	0$
5	Juuso Parssinen	X				100.00	82	58	82	77	73	72	76	59	82	57	60	62	40	70	71	75	20	64	0	23	0	0$
6	Nils Aman	X				100.00	67	45	88	79	55	72	56	58	73	62	54	62	40	72	72	70	20	61	0	24	0	0$
7	Ryan Reaves			X		100.00	99	62	74	75	78	67	67	47	40	45	50	57	40	98	83	5	20	60	0	37	0	0$
8	Olle Lycksell			X		100.00	51	38	88	82	40	74	56	56	40	62	50	63	40	74	74	65	20	60	0	25	0	0$
9	Denis Gurianov			X		100.00	58	53	90	75	70	60	50	50	40	45	55	65	73	78	69	55	20	58	0	27	0	0$
10	Olli Maatta				X	100.00	48	52	86	76	69	82	96	55	40	57	53	80	40	84	83	40	20	69	0	30	3	2,500,000$
11	Ryan Suter				X	100.00	51	50	84	76	64	82	99	53	40	53	53	75	40	99	91	0	20	69	0	39	0	0$
12	Timothy Liljegren				X	100.00	62	50	79	78	64	82	89	57	40	53	61	73	40	74	78	65	29	68	0	25	0	0$
13	Travis Hamonic				X	100.00	69	51	84	76	59	78	83	50	40	48	52	71	40	92	85	20	20	67	0	34	0	0$
14	Marc-Edouard Vlasic				X	100.00	43	51	89	75	66	74	62	50	40	46	55	71	40	98	86	5	20	64	0	37	0	0$
15	Jaycob Megna				X	100.00	72	59	83	75	83	68	63	36	40	38	34	70	40	88	78	30	20	63	0	32	0	0$
16	David Reinbacher				X	100.00	60	47	70	75	72	55	50	50	40	45	55	65	40	64	60	90	20	59	0	20	2	925,000$
Équipe Mineure
1	Laurent Dauphin	X				100.00	59	45	73	82	54	72	62	61	40	59	64	70	40	82	77	45	20	63	0	29	2	950,000$
2	William Carrier		X			100.00	99	55	83	75	75	74	72	55	40	53	58	66	40	84	79	40	20	63	0	30	3	2,350,000$
3	Jared Davidson		X			100.00	51	49	76	78	53	78	68	52	40	45	59	70	90	68	73	80	20	60	0	22	2	925,000$
4	Ivan Miroshnichenko		X			100.00	76	46	90	78	56	70	55	54	40	54	55	62	40	64	67	90	20	59	0	20	2	925,000$
5	Avery Hayes			X		100.00	43	40	71	81	45	69	59	54	40	46	61	70	40	68	69	80	20	58	0	22	2	575,000$
6	Ryder Rolston		X			100.00	57	49	86	75	60	72	62	46	40	43	48	69	40	70	71	75	20	57	0	23	2	575,000$
7	Luke Toporowski		X			100.00	55	51	77	76	49	62	52	47	40	43	50	68	40	70	66	75	20	55	0	23	2	575,000$
8	Philippe Daoust	X				100.00	44	41	85	75	61	61	51	42	70	45	39	56	40	70	66	75	20	52	0	23	2	575,000$
9	William Dufour		X			100.00	47	45	70	75	73	66	56	41	40	39	43	50	40	68	67	80	20	52	0	22	1	925,000$
10	Gavin Hain	X				100.00	56	55	78	75	57	60	50	33	70	27	40	55	40	66	63	85	20	49	0	21	2	575,000$
11	Jaxsen Wiebe			X		100.00	64	63	83	75	66	60	50	28	40	20	37	58	40	68	64	80	20	48	0	22	2	575,000$
12	Troy Stecher				X	100.00	52	45	82	78	49	73	88	50	40	45	56	65	40	84	79	40	20	63	0	30	2	1,750,000$
13	William Trudeau				X	100.00	51	52	74	75	66	72	67	38	40	37	39	70	40	68	70	80	20	60	0	22	1	925,000$
14	Mason Millman				X	100.00	61	49	84	75	50	56	51	38	40	34	42	70	40	70	63	75	20	57	0	23	2	575,000$
15	Ronan Seeley				X	100.00	74	61	89	75	59	73	68	32	40	28	35	54	40	68	71	80	20	57	0	22	2	575,000$
16	Tyrel Bauer				X	100.00	55	70	54	75	77	63	58	26	40	23	30	50	40	68	66	80	20	53	0	22	2	575,000$
17	Lleyton Moore				X	100.00	43	44	89	75	43	55	50	37	40	35	38	60	40	68	62	80	20	53	0	22	2	575,000$
18	Macklin Celebrini (R)	X				100.00	52	46	82	92	56	87	91	82	83	85	79	71	57	60	74	99	20	74	0	18	3	925,000$
19	Nate Danielson (R)	X				100.00	63	49	81	87	58	80	70	48	70	51	44	64	97	64	72	90	20	60	0	20	3	925,000$
20	Colin White	X				100.00	58	48	77	75	58	60	50	46	70	42	51	70	40	78	69	55	20	56	0	27	0	0$
21	Harrison Brunicke (R)				X	100.00	74	68	54	81	69	55	50	33	40	36	30	56	40	60	58	99	20	55	0	18	3	925,000$
22	Xavier Bouchard				X	100.00	62	59	75	75	65	55	50	31	40	31	30	50	40	72	64	70	20	53	0	24	0	0$

	MOYENNE D’ÉQUIPE					100.00	63	51	80	77	61	70	68	49	48	47	51	65	49	77	73	58	20	61

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	Kaapo Kahkonen	100.00	81	64	66	94	50	50	50	50	50	50	40	80	65	50	20	60	0	28	3	5,500,000$
Rayé
1	Cal Petersen	100.00	77	58	60	86	50	50	50	50	50	50	99	84	67	40	20	59	0	30	1	3,000,000$
Équipe Mineure
1	Adam Huska	100.00	75	50	60	97	50	60	50	50	50	50	87	78	69	55	20	60	0	27	0	0$
2	Filip Lindberg	100.00	77	50	60	82	50	50	50	50	50	50	40	74	62	65	20	57	0	25	0	0$
3	Amir Miftakhov	100.00	77	50	60	82	50	50	50	50	50	50	60	72	61	70	20	56	0	24	0	0$

	MOYENNE D’ÉQUIPE	100.00	77	54	61	88	50	52	50	50	50	50	65	78	65	56	20	58

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Tortorella	83	72	76	91	99	84	36	USA	67	4	2,000,000$

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

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	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

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	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	2039	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2040	2041	2042	Link
Cal Petersen	Flames	G	30	1994-10-19	No	182 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	No	UFA			Lien / Lien NHL
Caleb Jones	Flames	D	27	1997-06-06	No	194 Lbs	6 ft1	No	No	Yes	2	Pro & Farm	2,300,000$	2,300,000$	2,300,000$	No	2,300,000$	UFA		Lien / Lien NHL
Corey Perry	Flames	RW	39	1985-05-16	No	208 Lbs	6 ft3	No	No	No	0	Pro & Farm	UFA	0$	0$	No				Lien / Lien NHL
David Reinbacher	Flames	D	20	2004-10-25	No	209 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	925,000$	925,000$	No	925,000$	RFA		Lien / Lien NHL
Denis Gurianov	Flames	RW	27	1997-06-07	No	205 Lbs	6 ft3	No	No	Yes	0	Pro & Farm	RFA	0$	0$	No				Lien / Lien NHL
Evan Rodrigues	Flames	C	31	1993-07-28	No	182 Lbs	5 ft11	No	No	Yes	1	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	UFA			Lien / Lien NHL
Evgeny Kuznetsov	Flames	LW	32	1992-05-19	No	207 Lbs	6 ft2	No	No	Yes	1	Pro Only	8,500,000$	8,500,000$	8,500,000$	No	UFA			Lien / Lien NHL
Jaycob Megna	Flames	D	32	1992-12-10	No	220 Lbs	6 ft6	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No				Lien / Lien NHL
Jimmy Vesey	Flames	LW	31	1993-05-26	No	203 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	No	UFA			Lien / Lien NHL
Juuso Parssinen	Flames	C	23	2001-02-01	No	212 Lbs	6 ft3	No	No	No	0	Pro & Farm	RFA	0$	0$	No				Lien / Lien NHL
Kaapo Kahkonen	Flames	G	28	1996-08-16	No	214 Lbs	6 ft2	No	No	Yes	3	Pro Only	5,500,000$	5,500,000$	5,500,000$	No	5,500,000$	5,500,000$	UFA	Lien / Lien NHL
Kailer Yamamoto	Flames	RW	26	1998-09-29	No	178 Lbs	5 ft9	No	No	Yes	2	Pro & Farm	2,600,000$	2,600,000$	2,600,000$	No	2,600,000$	UFA		Lien / Lien NHL
Luke Kunin	Flames	C	27	1997-12-04	No	197 Lbs	6 ft0	No	No	Yes	2	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	3,750,000$	UFA		Lien / Lien NHL
Marc-Edouard Vlasic	Flames	D	37	1987-03-30	No	205 Lbs	6 ft1	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No				Lien / Lien NHL
Matthew Dumba	Flames	D	30	1994-07-25	No	185 Lbs	6 ft1	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	UFA			Lien / Lien NHL
Nils Aman	Flames	C	24	2000-02-07	No	179 Lbs	6 ft2	No	No	No	0	Pro & Farm	RFA	0$	0$	No				Lien / Lien NHL
Olle Lycksell	Flames	RW	25	1999-08-24	No	163 Lbs	5 ft10	No	No	No	0	Pro & Farm	RFA	0$	0$	No				Lien / Lien NHL
Olli Maatta	Flames	D	30	1994-08-22	No	207 Lbs	6 ft2	Yes	No	Yes	3	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	No	2,500,000$	2,500,000$	UFA	Lien / Lien NHL
Rafael Harvey-Pinard	Flames	LW	25	1999-01-06	No	173 Lbs	5 ft9	No	No	Yes	3	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	3,750,000$	3,750,000$	UFA	Lien / Lien NHL
Ryan Reaves	Flames	RW	37	1987-01-20	No	225 Lbs	6 ft2	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No				Lien / Lien NHL
Ryan Suter	Flames	D	39	1985-01-21	No	201 Lbs	6 ft1	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No				Lien / Lien NHL
Ryker Evans	Flames	D	23	2001-12-13	No	195 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	925,000$	925,000$	No	RFA			Lien / Lien NHL
Tanner Pearson	Flames	LW	32	1992-08-10	No	207 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	2,950,000$	2,950,000$	2,950,000$	No	UFA			Lien / Lien NHL
Timothy Liljegren	Flames	D	25	1999-04-30	No	201 Lbs	6 ft1	No	No	Yes	0	Pro & Farm	RFA	0$	0$	No				Lien / Lien NHL
Travis Hamonic	Flames	D	34	1990-08-16	No	195 Lbs	6 ft0	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No				Lien / Lien NHL
Zach Aston-Reese	Flames	C	30	1994-08-10	No	200 Lbs	6 ft1	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No				Lien / Lien NHL
Zach Bogosian	Flames	D	34	1990-07-15	No	231 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	No	UFA			Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
27	29.56	199 Lbs	6 ft1	0.93	1,822,222$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
49,200,000$	21,325,000$	11,750,000$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Evgeny Kuznetsov		Jimmy Vesey	40	1	2	2
2		Kailer Yamamoto		30	1	2	2
3	Rafael Harvey-Pinard			20	1	2	2
4	Evgeny Kuznetsov		Jimmy Vesey	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zach Bogosian		40	1	2	2
2	Matthew Dumba		30	1	2	2
3			20	1	2	2
4	Ryker Evans		10	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Evgeny Kuznetsov		Jimmy Vesey	60	1	2	2
2		Kailer Yamamoto		40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zach Bogosian		60	1	2	2
2	Matthew Dumba		40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Evgeny Kuznetsov	60	1	2	2
2	Jimmy Vesey		40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zach Bogosian		60	1	2	2
2	Matthew Dumba		40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1		60	1	2	2	Zach Bogosian		60	1	2	2
2	Evgeny Kuznetsov	40	1	2	2	Matthew Dumba		40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Evgeny Kuznetsov	60	1	2	2
2	Jimmy Vesey		40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zach Bogosian		60	1	2	2
2	Matthew Dumba		40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Evgeny Kuznetsov		Jimmy Vesey	Zach Bogosian

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Evgeny Kuznetsov		Jimmy Vesey	Zach Bogosian

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Rafael Harvey-Pinard, ,	Rafael Harvey-Pinard,

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Caleb Jones, ,	Caleb Jones	,

Tirs de pénalité
, Evgeny Kuznetsov, Jimmy Vesey, ,

Gardien
#1 : Kaapo Kahkonen, #2 :

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

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

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Tanner Pearson

AGE:32
SK:		79
EN:		74
DU:		96
PH:		59
PA:		56
SC:		63
DF:		68
William Carrier

AGE:30
SK:		75
EN:		74
DU:		72
PH:		55
PA:		53
SC:		58
DF:		66
Jimmy Vesey

AGE:31
SK:		75
EN:		72
DU:		72
PH:		53
PA:		46
SC:		60
DF:		62
Evgeny Kuznetsov

AGE:32
SK:		79
EN:		60
DU:		50
PH:		61
PA:		56
SC:		60
DF:		56
Jared Davidson

AGE:22
SK:		78
EN:		78
DU:		68
PH:		52
PA:		45
SC:		59
DF:		70
Ivan Miroshnichenko

AGE:20
SK:		78
EN:		70
DU:		55
PH:		54
PA:		54
SC:		55
DF:		62
Ryder Rolston

AGE:23
SK:		75
EN:		72
DU:		62
PH:		46
PA:		43
SC:		48
DF:		69
Luke Toporowski

AGE:23
SK:		76
EN:		62
DU:		52
PH:		47
PA:		43
SC:		50
DF:		68
Rafael Harvey-Pinard

AGE:25
SK:		76
EN:		60
DU:		50
PH:		44
PA:		49
SC:		40
DF:		62
William Dufour

AGE:22
SK:		75
EN:		66
DU:		56
PH:		41
PA:		39
SC:		43
DF:		50

Macklin Celebrini (R)

AGE:18
SK:		92
EN:		87
DU:		91
PH:		82
PA:		85
SC:		79
DF:		71
Evan Rodrigues

AGE:31
SK:		83
EN:		80
DU:		99
PH:		61
PA:		57
SC:		65
DF:		63
Luke Kunin

AGE:27
SK:		78
EN:		79
DU:		94
PH:		55
PA:		48
SC:		62
DF:		76
Juuso Parssinen

AGE:23
SK:		77
EN:		72
DU:		76
PH:		59
PA:		57
SC:		60
DF:		62
Zach Aston-Reese

AGE:30
SK:		77
EN:		77
DU:		97
PH:		54
PA:		51
SC:		56
DF:		69
Laurent Dauphin

AGE:29
SK:		82
EN:		72
DU:		62
PH:		61
PA:		59
SC:		64
DF:		70
Nils Aman

AGE:24
SK:		79
EN:		72
DU:		56
PH:		58
PA:		62
SC:		54
DF:		62
Nate Danielson (R)

AGE:20
SK:		87
EN:		80
DU:		70
PH:		48
PA:		51
SC:		44
DF:		64
Colin White

AGE:27
SK:		75
EN:		60
DU:		50
PH:		46
PA:		42
SC:		51
DF:		70
Philippe Daoust

AGE:23
SK:		75
EN:		61
DU:		51
PH:		42
PA:		45
SC:		39
DF:		56
Gavin Hain

AGE:21
SK:		75
EN:		60
DU:		50
PH:		33
PA:		27
SC:		40
DF:		55

Corey Perry

AGE:39
SK:		78
EN:		74
DU:		98
PH:		60
PA:		51
SC:		69
DF:		67
Olle Lycksell

AGE:25
SK:		82
EN:		74
DU:		56
PH:		56
PA:		62
SC:		50
DF:		63
Kailer Yamamoto

AGE:26
SK:		81
EN:		75
DU:		51
PH:		55
PA:		47
SC:		64
DF:		64
Ryan Reaves

AGE:37
SK:		75
EN:		67
DU:		67
PH:		47
PA:		45
SC:		50
DF:		57
Avery Hayes

AGE:22
SK:		81
EN:		69
DU:		59
PH:		54
PA:		46
SC:		61
DF:		70
Denis Gurianov

AGE:27
SK:		75
EN:		60
DU:		50
PH:		50
PA:		45
SC:		55
DF:		65
Jaxsen Wiebe

AGE:22
SK:		75
EN:		60
DU:		50
PH:		28
PA:		20
SC:		37
DF:		58

Défense #1

Défense #2

Gardien

Ryker Evans

AGE:23
SK:		81
EN:		82
DU:		93
PH:		60
PA:		62
SC:		58
DF:		69
Olli Maatta

AGE:30
SK:		76
EN:		82
DU:		96
PH:		55
PA:		57
SC:		53
DF:		80
Zach Bogosian

AGE:34
SK:		75
EN:		76
DU:		98
PH:		54
PA:		52
SC:		56
DF:		72
Ryan Suter

AGE:39
SK:		76
EN:		82
DU:		99
PH:		53
PA:		53
SC:		53
DF:		75
Timothy Liljegren

AGE:25
SK:		78
EN:		82
DU:		89
PH:		57
PA:		53
SC:		61
DF:		73
Travis Hamonic

AGE:34
SK:		76
EN:		78
DU:		83
PH:		50
PA:		48
SC:		52
DF:		71
Matthew Dumba

AGE:30
SK:		77
EN:		75
DU:		86
PH:		52
PA:		52
SC:		52
DF:		68
Marc-Edouard Vlasic

AGE:37
SK:		75
EN:		74
DU:		62
PH:		50
PA:		46
SC:		55
DF:		71
Troy Stecher

AGE:30
SK:		78
EN:		73
DU:		88
PH:		50
PA:		45
SC:		56
DF:		65
Jaycob Megna

AGE:32
SK:		75
EN:		68
DU:		63
PH:		36
PA:		38
SC:		34
DF:		70

Caleb Jones

AGE:27
SK:		75
EN:		55
DU:		50
PH:		46
PA:		55
SC:		36
DF:		70
William Trudeau

AGE:22
SK:		75
EN:		72
DU:		67
PH:		38
PA:		37
SC:		39
DF:		70
David Reinbacher

AGE:20
SK:		75
EN:		55
DU:		50
PH:		50
PA:		45
SC:		55
DF:		65
Ronan Seeley

AGE:22
SK:		75
EN:		73
DU:		68
PH:		32
PA:		28
SC:		35
DF:		54
Mason Millman

AGE:23
SK:		75
EN:		56
DU:		51
PH:		38
PA:		34
SC:		42
DF:		70
Harrison Brunicke (R)

AGE:18
SK:		81
EN:		55
DU:		50
PH:		33
PA:		36
SC:		30
DF:		56
Tyrel Bauer

AGE:22
SK:		75
EN:		63
DU:		58
PH:		26
PA:		23
SC:		30
DF:		50
Lleyton Moore

AGE:22
SK:		75
EN:		55
DU:		50
PH:		37
PA:		35
SC:		38
DF:		60
Xavier Bouchard

AGE:24
SK:		75
EN:		55
DU:		50
PH:		31
PA:		31
SC:		30
DF:		50

Adam Huska

AGE:27
SK:		75
AG:		50
RB:		60
SC:		50
HS:		50
RT:		50
DF:		50
Kaapo Kahkonen

AGE:28
SK:		81
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Cal Petersen

AGE:30
SK:		77
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Filip Lindberg

AGE:25
SK:		77
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Amir Miftakhov

AGE:24
SK:		77
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

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
Alexander Rykov	Flames	2037	125
Alfons Freij	Flames	2038	32
Bryce Montgomery	Flames	2035	203
Caden Price	Flames	2037	88
Cayden Lindstrom	Flames	2038	3
Christopher Pelosi	Flames	2037	114
Danny Nelson	Flames	2037	79
Demetrios Koumontzis	Flames	2032	132
Dmitri Kostenko	Flames	2035	90
Emil Pieniniemi	Flames	2037	115
Eriks Mateiko	Flames	2038	97
Gregor Biber	Flames	2038	122
Heikki Ruohonen	Flames	2038	125
Jack Gorniak	Flames	2032	155
Jacob Holmes	Flames	2035	172
Jacob Ragnarsson	Flames	2032	81
Joe Connor	Flames	2038	211
John Whipple	Flames	2038	161
Jordan Hollett	Flames	2031	201
Kirill Zarubin	Flames	2038	116
Koehn Ziemmer	Flames	2037	63
Konnor Smith	Flames	2037	122
Liam Hawel	Flames	2031	145
Louka Cloutier	Flames	2038	152
Matvei Gridin	Flames	2038	29
Nathan Villeneuve	Flames	2038	80
Oliver Josephson	Flames	2038	124
Oskar Vuollet	Flames	2038	153
Rudy Guimond	Flames	2037	119
Sam Dickinson	Flames	2038	12
Sawyer Mynio	Flames	2037	110
Spencer Gill	Flames	2038	66
Tanner Ludtke	Flames	2037	72
Ty Henry	Flames	2038	180
Victor Stjernborg	Flames	2035	136
Vojtech Hradec	Flames	2038	183
Yaroslav Korostelyov	Flames	2038	209
Zachary Lauzon	Flames	2031	81

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7
2039
2040
2041
2042

Flames Leaders statistiques (saison régulière)

Afficher ou masquer des colonnes

#	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
1	Joe Pavelski	574	347	440	787	207	282	644	1678	2804	12.38%	240	12463	21.71	86	142	228	608	5	3	8	41	56	24	54.60%	13	1.26	10	51
2	Adrian Aucoin	1537	259	452	711	221	1284	2000	2041	2881	8.99%	923	25519	16.60	28	61	89	208	5	10	15	53	38	19	50.19%	3	0.56	16	45
3	Mark Giordano	473	165	415	580	37	560	805	962	1635	10.09%	750	12293	25.99	108	177	285	1052	0	11	11	12	28	14	0.00%	1	0.94	0	0
4	Derek Stepan	467	192	381	573	116	266	520	1325	1796	10.69%	150	9992	21.40	58	162	220	491	1	1	2	23	27	16	51.04%	6	1.15	6	42
5	Anze Kopitar	510	210	336	546	10	423	1011	1495	1910	10.99%	225	11946	23.42	50	128	178	354	3	1	4	32	34	16	53.99%	10	0.91	12	54

Flames Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Corey Crawford	532	332	152	38	0.902	2.85	31429	91	22	1492	15168	0	36	7	0.791	182
2	Robin Lehner	323	134	143	34	0.896	3.38	18411	24	14	1036	10007	0	12	3	0.611	126
3	Tim Thomas	205	114	68	21	0.913	2.68	12154	63	4	542	6253	2520	10	2	0.800	90
4	Brian Elliott	118	62	39	15	0.912	2.86	6983	4	3	333	3775	0	7	5	0.738	80
5	Jonathan Quick	82	54	20	8	0.915	2.62	4904	2	7	214	2506	0	4	2	0.643	28

Flames Statistiques de l'Équipe de Carrière

Afficher ou masquer des colonnes

	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
Saison régulière
2017	82	41	26	0	2	2	6	5	272	225	47	41	20	14	0	0	0	5	2	134	118	16	41	21	12	0	2	2	1	3	138	107	31	88	272	425	697	0	1	0	89	96	79	2851	0	1062	935	836	2588	882	1220	1954	241	29	12.03%	191	28	85.34%	5	1090	2160	50.46%	943	1927	48.94%	685	1357	50.48%	1785	1033	1879	819	1486	742
2018	82	31	36	0	0	5	7	3	218	250	-32	41	15	19	0	0	3	3	1	113	124	-11	41	16	17	0	0	2	4	2	105	126	-21	67	218	351	569	0	1	0	63	74	74	2759	0	954	891	889	2616	866	1025	1854	215	29	13.49%	202	34	83.17%	5	1151	2123	54.22%	1034	2047	50.51%	664	1337	49.66%	1807	1056	1714	735	1459	731
2019	82	44	22	0	4	2	4	6	274	212	62	41	22	12	0	2	0	2	3	135	111	24	41	22	10	0	2	2	2	3	139	101	38	98	274	444	718	3	2	0	66	113	87	2776	0	897	978	877	2531	873	876	1927	211	35	16.59%	158	23	85.44%	2	1092	2151	50.77%	1024	1976	51.82%	602	1223	49.22%	1815	1062	1696	735	1477	739
2020	82	41	25	0	5	2	2	7	248	231	17	41	20	13	0	2	1	1	4	125	120	5	41	21	12	0	3	1	1	3	123	111	12	94	248	389	637	2	2	0	53	102	86	2601	0	747	939	894	2540	848	808	1822	220	44	20.00%	196	34	82.65%	3	1060	2043	51.88%	1056	2051	51.49%	679	1250	54.32%	1739	976	1718	753	1518	764
2021	82	36	29	0	4	3	5	5	302	253	49	41	20	12	0	1	1	4	3	156	124	32	41	16	17	0	3	2	1	2	146	129	17	83	302	520	822	1	4	0	122	84	87	2693	0	907	863	884	2434	769	1004	1720	433	86	19.86%	399	68	82.96%	1	1689	3132	53.93%	1555	2944	52.82%	718	1344	53.42%	2025	1408	1932	614	1029	510
2022	82	46	21	0	5	2	3	5	321	247	74	41	23	12	0	3	0	1	2	157	121	36	41	23	9	0	2	2	2	3	164	126	38	104	321	565	886	2	1	0	130	104	79	2866	0	970	978	876	2601	761	1121	1849	435	101	23.22%	435	59	86.44%	4	1789	3304	54.15%	1684	3082	54.64%	763	1382	55.21%	1960	1340	1985	629	1030	508
2023	82	53	15	0	2	2	7	3	320	208	112	41	26	8	0	0	1	4	2	160	99	61	41	27	7	0	2	1	3	1	160	109	51	112	320	544	864	1	2	0	115	105	91	2883	0	1015	937	904	2401	736	1010	1815	437	98	22.43%	402	59	85.32%	3	1656	3285	50.41%	1516	2982	50.84%	673	1342	50.15%	2023	1409	1936	618	1019	511
2024	82	54	16	0	3	1	5	3	376	227	149	41	29	5	0	3	1	3	0	218	114	104	41	25	11	0	0	0	2	3	158	113	45	128	376	664	1040	1	7	0	132	116	120	3108	0	1029	990	1059	2424	783	1020	1864	439	109	24.83%	423	78	81.56%	2	1806	3400	53.12%	1510	2946	51.26%	731	1399	52.25%	2013	1393	1931	609	1027	518
2025	82	50	21	0	1	2	5	3	312	215	97	41	22	9	0	1	2	5	2	153	114	39	41	28	12	0	0	0	0	1	159	101	58	117	312	548	860	1	5	0	110	107	89	2852	0	882	943	1002	2237	658	891	1716	473	105	22.20%	344	62	81.98%	3	1680	3234	51.95%	1450	2755	52.63%	672	1285	52.30%	2081	1453	1855	605	1029	530
2026	82	31	33	0	3	2	8	5	272	266	6	41	15	15	0	0	2	6	3	131	127	4	41	16	18	0	3	0	2	2	141	139	2	91	272	472	744	0	3	0	98	85	78	2562	0	826	867	832	2499	703	964	1671	461	108	23.43%	397	79	80.10%	5	1620	3046	53.18%	1467	2948	49.76%	672	1298	51.77%	2031	1408	1930	617	1038	524
2027	82	42	28	0	2	2	4	4	304	243	61	41	23	13	0	1	1	1	2	141	112	29	41	19	15	0	1	1	3	2	163	131	32	102	304	545	849	1	5	0	108	104	86	2637	0	883	888	842	2305	652	831	1702	451	116	25.72%	371	95	74.39%	1	1654	3034	54.52%	1512	2845	53.15%	724	1346	53.79%	2105	1472	1828	607	1033	529
2030	82	42	27	0	2	4	2	5	279	252	27	41	20	12	0	2	3	1	3	140	127	13	41	22	15	0	0	1	1	2	139	125	14	101	279	496	775	1	0	0	103	89	83	2638	0	853	889	875	2302	704	890	1686	454	103	22.69%	382	78	79.58%	4	1610	3111	51.75%	1427	2792	51.11%	705	1333	52.89%	2066	1426	1851	614	1052	537
2031	82	39	29	0	1	5	8	0	290	267	23	41	18	14	0	1	5	3	0	148	152	-4	41	21	15	0	0	0	5	0	142	115	27	101	290	503	793	2	2	0	104	88	89	2513	0	836	818	844	2608	721	1166	1810	428	107	25.00%	434	89	79.49%	5	1620	3014	53.75%	1532	3094	49.52%	690	1356	50.88%	1989	1360	1944	620	1040	524
2032	82	48	20	0	3	2	3	6	293	227	66	41	25	12	0	1	0	1	2	143	108	35	41	23	8	0	2	2	2	4	150	119	31	116	293	533	826	2	7	0	107	105	75	3001	0	1024	960	987	2554	715	965	1787	446	83	18.61%	375	60	84.00%	2	1650	3283	50.26%	1533	3066	50.00%	669	1317	50.80%	1981	1357	1944	627	1045	523
2033	82	17	55	0	2	2	2	4	211	335	-124	41	9	26	0	1	1	1	3	113	167	-54	41	8	29	0	1	1	1	1	98	168	-70	48	211	372	583	1	2	0	66	78	63	2218	0	686	733	780	2982	792	1060	1864	384	59	15.36%	437	106	75.74%	1	1251	2735	45.74%	1492	3205	46.55%	617	1339	46.08%	1791	1189	2123	638	1042	492
2034	82	37	30	0	5	1	3	6	311	263	48	41	20	15	0	2	1	2	1	160	125	35	41	17	15	0	3	0	1	5	151	138	13	97	311	554	865	1	3	0	125	104	74	2730	0	881	906	915	2686	757	1013	1930	392	77	19.64%	398	81	79.65%	6	1549	3086	50.19%	1502	3109	48.31%	644	1353	47.60%	1907	1299	2031	625	1036	505
2035	82	31	34	0	5	0	4	8	257	271	-14	41	20	14	0	2	0	1	4	142	126	16	41	11	20	0	3	0	3	4	115	145	-30	88	257	458	715	0	2	0	86	89	73	2555	0	874	835	813	2701	831	1014	1967	399	75	18.80%	448	86	80.80%	5	1498	2958	50.64%	1512	3204	47.19%	629	1291	48.72%	1864	1265	2082	639	1040	498
2036	82	21	46	0	3	5	2	5	229	315	-86	41	13	22	0	1	4	0	1	123	160	-37	41	8	24	0	2	1	2	4	106	155	-49	62	229	404	633	0	2	0	74	73	77	2219	0	714	746	737	2859	824	1106	1875	385	68	17.66%	458	99	78.38%	3	1314	2705	48.58%	1420	3213	44.20%	635	1338	47.46%	1823	1214	2101	634	1050	509
2037	82	16	64	0	1	1	0	0	221	403	-182	41	9	31	0	0	1	0	0	112	196	-84	41	7	33	0	1	0	0	0	109	207	-98	35	221	400	621	3	2	75	78	67	1	2276	773	744	754	5	3132	887	1137	2051	378	85	22.49%	499	111	77.76%	3	1300	2722	47.76%	1478	3151	46.91%	628	1391	45.15%	1734	1132	2158	630	1035	485
2038	82	13	61	0	6	1	1	0	210	386	-176	41	10	27	0	4	0	0	0	110	183	-73	41	3	34	0	2	1	1	0	100	203	-103	41	210	376	586	2	0	77	69	57	8	2168	748	722	684	20	3120	906	1159	2042	323	56	17.34%	484	119	75.41%	5	1178	2589	45.50%	1550	3253	47.65%	647	1369	47.26%	1659	1065	2227	650	1045	483
Total Saison régulière	1640	733	638	0	59	46	81	83	5520	5296	224	820	379	305	0	27	27	44	38	2814	2628	186	820	354	333	0	32	19	37	45	2706	2668	38	1773	5520	9563	15083	24	53	152	1898	1840	1499	52906	1521	17506	17534	15871	52120	15668	20280	36906	7605	1573	20.68%	7433	1448	80.52%	68	29257	57115	51.22%	28197	56590	49.83%	13447	26650	50.46%	38206	25327	38873	13026	22540	11175
Séries éliminatoires
2017	12	7	5	0	0	0	0	0	38	36	2	7	6	1	0	0	0	0	0	29	21	8	5	1	4	0	0	0	0	0	9	15	-6	14	38	67	105	0	0	0	8	11	15	423	0	144	130	109	401	144	79	293	35	7	20.00%	25	1	96.00%	1	157	318	49.37%	153	309	49.51%	100	202	49.50%	279	155	2155	940	245	124
2019	24	16	8	0	0	0	0	0	75	64	11	14	9	5	0	0	0	0	0	38	40	-2	10	7	3	0	0	0	0	0	37	24	13	32	75	122	197	0	1	0	16	28	26	855	0	260	304	264	756	266	296	638	53	6	11.32%	42	10	76.19%	0	335	645	51.94%	322	609	52.87%	207	351	58.97%	555	332	495	214	437	218
2020	17	9	8	0	0	0	0	0	49	47	2	10	5	5	0	0	0	0	0	28	28	0	7	4	3	0	0	0	0	0	21	19	2	18	49	77	126	0	2	0	13	17	16	572	0	172	206	183	514	130	261	428	45	8	17.78%	48	13	72.92%	0	239	459	52.07%	203	411	49.39%	133	247	53.85%	379	225	348	152	305	151
2021	6	2	4	0	0	0	0	0	22	16	6	3	2	1	0	0	0	0	0	18	9	9	3	0	3	0	0	0	0	0	4	7	-3	4	22	36	58	0	0	0	11	7	4	210	0	68	67	65	225	56	78	126	25	9	36.00%	34	3	91.18%	0	137	249	55.02%	120	269	44.61%	44	84	52.38%	138	95	164	44	73	34
2022	18	9	9	0	0	0	0	0	71	71	0	10	5	5	0	0	0	0	0	38	38	0	8	4	4	0	0	0	0	0	33	33	0	18	71	124	195	0	0	0	26	18	27	645	0	211	201	218	640	177	226	411	92	19	20.65%	93	19	79.57%	0	397	721	55.06%	420	752	55.85%	179	322	55.59%	433	299	440	140	230	112
2023	22	16	6	0	0	0	0	0	92	60	32	11	9	2	0	0	0	0	0	51	27	24	11	7	4	0	0	0	0	0	41	33	8	32	92	161	253	0	2	0	44	25	22	763	0	243	243	249	683	183	341	487	120	30	25.00%	113	18	84.07%	2	443	876	50.57%	421	817	51.53%	195	367	53.13%	545	376	536	167	273	137
2024	20	15	5	0	0	0	0	0	97	62	35	11	8	3	0	0	0	0	0	51	35	16	9	7	2	0	0	0	0	0	46	27	19	30	97	172	269	1	2	0	46	20	30	758	0	253	245	242	564	188	233	413	135	35	25.93%	87	17	80.46%	0	429	804	53.36%	383	703	54.48%	203	376	53.99%	496	348	470	154	252	126
2025	18	8	10	0	0	0	0	0	53	59	-6	9	5	4	0	0	0	0	0	31	25	6	9	3	6	0	0	0	0	0	22	34	-12	16	53	93	146	1	2	0	18	20	14	587	0	201	163	181	540	168	190	427	100	19	19.00%	83	14	83.13%	1	345	675	51.11%	338	641	52.73%	158	296	53.38%	449	307	452	141	236	118
2026	5	1	4	0	0	0	0	0	13	20	-7	2	0	2	0	0	0	0	0	4	10	-6	3	1	2	0	0	0	0	0	9	10	-1	2	13	23	36	0	0	0	4	7	2	152	0	62	39	46	178	51	77	119	25	3	12.00%	34	8	76.47%	0	91	188	48.40%	93	203	45.81%	36	78	46.15%	117	77	130	38	64	30
2027	12	6	6	0	0	0	0	0	42	42	0	6	2	4	0	0	0	0	0	20	26	-6	6	4	2	0	0	0	0	0	22	16	6	12	42	76	118	0	0	0	13	14	14	407	0	133	129	135	374	88	131	253	71	13	18.31%	59	14	76.27%	0	237	504	47.02%	213	440	48.41%	103	208	49.52%	303	203	289	95	159	80
2030	7	3	4	0	0	0	0	0	19	27	-8	3	1	2	0	0	0	0	0	7	12	-5	4	2	2	0	0	0	0	0	12	15	-3	6	19	33	52	1	0	0	6	7	4	209	0	71	59	70	221	61	80	175	43	12	27.91%	34	8	76.47%	0	126	272	46.32%	114	248	45.97%	57	109	52.29%	169	111	173	57	94	47
2031	6	2	4	0	0	0	0	0	16	24	-8	3	1	2	0	0	0	0	0	9	14	-5	3	1	2	0	0	0	0	0	7	10	-3	4	16	29	45	0	1	0	4	7	4	158	0	53	52	49	194	61	74	171	17	2	11.76%	34	7	79.41%	0	97	188	51.60%	123	227	54.19%	45	96	46.88%	130	85	155	46	79	39
2032	9	4	5	0	0	0	0	0	30	30	0	5	2	3	0	0	0	0	0	16	16	0	4	2	2	0	0	0	0	0	14	14	0	8	30	50	80	0	0	0	13	9	8	245	0	91	65	89	328	98	81	188	37	7	18.92%	38	7	81.58%	0	128	287	44.60%	148	364	40.66%	73	146	50.00%	200	138	229	68	110	51
2034	5	1	4	0	0	0	0	0	14	19	-5	2	1	1	0	0	0	0	0	6	6	0	3	0	3	0	0	0	0	0	8	13	-5	2	14	24	38	0	0	0	4	5	5	150	0	54	52	42	189	54	46	84	28	3	10.71%	23	3	86.96%	0	68	163	41.72%	99	215	46.05%	37	72	51.39%	112	76	126	38	62	32
2035	14	7	7	0	0	0	0	0	45	47	-2	6	4	2	0	0	0	0	0	19	18	1	8	3	5	0	0	0	0	0	26	29	-3	14	45	83	128	0	0	0	14	18	8	437	0	125	151	146	485	143	238	350	55	12	21.82%	97	18	81.44%	0	234	482	48.55%	245	568	43.13%	112	235	47.66%	309	209	380	106	174	82
Total Séries éliminatoires	195	106	89	0	0	0	0	0	676	624	52	102	60	42	0	0	0	0	0	365	325	40	93	46	47	0	0	0	0	0	311	299	12	212	676	1170	1846	3	10	0	240	213	199	6571	0	2141	2106	2088	6292	1868	2431	4563	881	185	21.00%	844	160	81.04%	4	3463	6831	50.70%	3395	6776	50.10%	1682	3189	52.74%	4622	3044	6549	2408	2799	1388

Flames Leaders statistiques (séries éliminatoires)

Afficher ou masquer des colonnes

#	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
1	Joe Pavelski	125	93	77	170	43	87	155	343	574	16.20%	42	2641	21.13	28	25	53	139	1	1	2	4	10	4	54.87%	6	1.29
2	Derek Stepan	89	50	76	126	20	51	104	232	393	12.72%	30	1873	21.05	13	34	47	113	0	0	0	3	9	3	51.79%	1	1.34
3	Adrian Aucoin	216	38	67	105	-20	79	293	252	423	8.98%	144	3953	18.30	7	11	18	32	1	2	3	8	7	3	49.46%	1	0.53
4	Paul Stastny	66	25	47	72	-7	23	37	159	220	11.36%	13	1172	17.77	14	27	41	91	0	0	0	0	4	1	54.50%	0	1.23
5	Anze Kopitar	71	22	47	69	11	62	174	191	248	8.87%	31	1620	22.83	5	13	18	38	0	0	0	2	4	1	52.96%	0	0.85

Flames Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG
1	Corey Crawford	93	53	29	8	0.895	3.19	5495	10	7	292	2780	0	7	2
2	Tim Thomas	41	25	13	3	0.913	2.62	2496	0	3	109	1257	505	4	0
3	Dan Ellis	13	7	2	3	0.910	2.70	801	17	0	36	401	160	0	0
4	Brian Elliott	15	6	5	4	0.905	3.22	912	2	0	49	518	0	0	0
5	Robin Lehner	13	5	6	2	0.895	3.64	791	0	0	48	459	0	0	0