Canadian Hockey League

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Stats Équipe

Blessure/Suspension
Pas de blessure ou de suspension.

Information d’équipe
	Directeur général	Jean-Francis Grondin
	Entraîneur	Scott Arniel
	Division	Atlantic
	Conférence	Eastern
	Capitaine	Mark Stone
	Assistant #1	Tyler Seguin
	Assistant #2	Alex Pietrangelo
Uniformes

Informations de l’aréna
	Nom	Synergy Center
	Capacité	25,000
	Assistance
	Billets de saison	10,000
Information formation
	Équipe Pro	22
	Équipe Mineure	28
	Limite contact	50 / 55
	Espoirs	16
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	19,241,869$
	Compte bancaire projeté	19,241,869$
Historique d'équipe
	Saison actuelle	0-0-0 (0PTS)
	Historique	867-700-144 (0.507%)
	Apparitions séries éliminatoires	11
	Historique séries éliminatoires (W-L)	36-49
	Stanley Cup	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 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	Mark Stone (C)			X		100.00	52	57	87	95	72	87	84	95	40	99	88	90	61	92	90	20	20	83	0	33	3	10,000,000$
2	Clayton Keller			X		100.00	42	40	81	98	45	87	99	89	40	99	76	68	57	80	84	50	20	77	0	27	2	6,500,000$
3	Tomas Hertl	X				100.00	73	59	80	84	77	83	99	74	93	74	74	69	54	90	87	25	20	74	0	32	1	7,500,000$
4	Chandler Stephenson	X				100.00	46	49	87	86	62	87	98	70	87	74	66	71	65	88	88	30	20	71	0	31	2	6,000,000$
5	Tyler Seguin (A)	X				100.00	56	52	89	84	68	82	62	71	89	70	71	68	85	92	87	20	20	70	0	33	1	7,500,000$
6	Pierre-Luc Dubois	X				100.00	59	57	77	82	79	82	63	72	82	80	64	61	80	80	81	50	20	69	0	27	2	6,500,000$
7	Casey Cizikas	X				100.00	84	45	85	79	55	74	98	54	90	48	60	79	73	94	84	15	20	67	0	34	1	1,500,000$
8	Bobby Brink			X		100.00	68	38	83	85	40	80	89	63	40	58	68	67	70	74	77	65	20	66	0	24	2	3,250,000$
9	Ondrej Palat		X			100.00	79	47	87	78	58	76	98	53	40	50	55	72	53	94	85	15	20	64	0	34	3	2,000,000$
10	Aaron Ekblad				X	100.00	67	60	75	77	79	87	92	61	40	65	57	83	40	84	86	40	20	73	0	29	4	8,000,000$
11	Dylan Demelo				X	100.00	73	48	80	78	60	85	99	55	40	56	55	83	40	90	88	25	20	72	0	32	1	4,000,000$
12	Jaccob Slavin				X	100.00	44	53	88	75	71	85	70	54	40	55	53	95	64	88	87	30	20	71	0	31	2	7,000,000$
13	Connor Clifton				X	100.00	99	67	69	76	59	77	77	51	40	47	55	82	40	86	82	35	20	70	0	30	1	3,000,000$
Rayé
1	Mason Marchment		X			100.00	69	56	74	82	77	84	89	72	40	71	73	70	40	86	85	35	20	71	0	30	0	0$
2	Dmitri Voronkov		X			100.00	79	71	71	78	88	78	86	66	40	60	72	66	40	76	77	60	20	68	0	25	0	0$
3	Kent Johnson	X				100.00	45	41	85	81	46	77	95	57	40	56	58	66	99	72	75	70	20	63	0	23	0	0$
4	Matt Rempe	X				100.00	99	75	82	75	99	69	61	47	40	40	53	66	40	72	71	70	20	60	0	23	0	0$
5	Alex Pietrangelo (A)				X	100.00	54	55	85	80	75	55	50	65	40	73	57	85	40	96	76	10	20	69	0	35	0	0$
6	Jalen Chatfield				X	100.00	52	52	85	77	68	83	92	55	40	57	53	79	40	84	84	40	20	69	0	29	0	0$
7	Tyler Tucker				X	100.00	74	71	67	78	65	74	90	56	40	57	55	71	40	76	75	60	20	68	0	25	0	0$
Équipe Mineure
1	Dryden Hunt	X				100.00	99	54	65	88	59	61	51	75	40	70	58	69	40	86	74	35	20	67	0	30	1	575,000$
2	Zack MacEwen		X			100.00	95	88	70	75	83	60	50	51	40	44	58	64	40	84	72	40	20	60	0	29	1	800,000$
3	Julien Gauthier			X		100.00	95	59	82	75	82	60	50	45	40	36	53	62	40	82	71	45	20	57	0	28	1	1,000,000$
4	Sam Malinski				X	100.00	53	45	85	86	54	79	99	67	40	72	62	78	40	80	80	50	20	71	0	27	3	1,250,000$
5	Jaycob Megna				X	100.00	72	59	80	75	80	68	63	33	40	29	38	70	40	92	80	20	20	62	0	33	2	950,000$
6	Ty Nelson (R)				X	100.00	61	50	82	77	61	67	62	51	40	51	51	70	40	68	68	80	20	62	0	21	1	750,000$
7	Justin Brazeau			X		100.00	73	62	86	78	89	76	87	67	40	62	72	70	40	80	78	50	20	69	0	27	0	0$
8	Raphael Lavoie			X		100.00	80	68	85	84	78	60	50	76	40	67	70	65	40	76	68	60	20	67	0	25	0	0$
9	Beck Malenstyn		X			100.00	99	59	81	75	72	74	98	52	40	47	57	81	40	80	77	50	20	65	0	27	0	0$
10	James Hamblin	X				100.00	51	43	80	78	48	73	63	51	70	38	65	70	40	78	76	55	20	59	0	26	0	0$
11	Mitchell Chaffee			X		100.00	99	49	83	75	62	71	51	49	40	47	50	60	40	80	76	50	20	58	0	27	0	0$
12	Jackson Hallum (R)		X			100.00	48	40	77	87	56	78	68	40	40	39	42	70	40	72	75	70	20	56	0	23	3	925,000$
13	Maxim Groshev		X			100.00	54	45	82	75	63	67	57	41	40	45	36	70	73	74	71	65	20	55	0	24	1	925,000$
14	Chase DeLeo		X			100.00	75	42	89	75	55	60	50	44	40	44	44	57	40	86	73	35	20	54	0	30	0	0$
15	Brandon Biro			X		100.00	53	50	83	78	44	60	50	50	40	51	39	58	90	80	70	50	20	54	0	27	0	0$
16	Reese Johnson	X				100.00	99	67	73	75	66	60	50	38	40	36	40	58	40	80	70	50	20	53	0	27	0	0$
17	Jacob Perreault			X		100.00	65	56	90	75	54	60	50	40	40	32	48	62	40	72	66	70	20	52	0	23	0	0$
18	Scott Reedy	X				100.00	49	52	84	75	73	60	50	40	40	36	43	55	40	78	69	55	20	52	0	26	0	0$
19	Cam Squires (R)		X			100.00	43	34	84	88	51	60	50	39	40	39	39	63	40	66	63	85	20	52	0	20	1	575,000$
20	Devin Kaplan (R)		X			100.00	61	52	65	81	69	60	50	36	40	33	38	50	40	68	64	80	20	50	0	21	3	925,000$
21	John Ludvig				X	100.00	91	83	77	75	70	55	50	42	40	49	34	65	40	76	66	60	20	60	0	25	0	0$
22	Ville Heinola				X	100.00	50	44	79	75	52	55	50	46	40	54	38	58	73	74	65	65	20	56	0	24	0	0$
23	Filip Roos				X	100.00	59	50	78	75	69	55	50	35	40	41	30	55	40	78	67	55	20	55	0	26	0	0$

	MOYENNE D’ÉQUIPE					100.00	68	55	80	80	66	71	71	56	46	55	55	69	50	81	76	47	20	64

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	Connor Hellebuyck	100.00	94	99	99	95	84	85	84	84	83	84	84	90	88	25	20	86	0	32	2	8,000,000$
2	Justus Annunen	100.00	88	64	62	95	92	84	78	86	87	83	40	76	80	60	20	81	0	25	2	2,500,000$
Rayé
Équipe Mineure
1	Thomas Milic	100.00	90	70	73	82	55	55	54	53	52	55	50	70	63	75	20	61	0	22	1	925,000$
2	Jesper Vikman	100.00	81	50	60	94	50	50	50	50	50	50	50	72	61	70	20	58	0	23	0	0$
3	Dylan Ferguson	100.00	75	50	60	86	50	50	50	50	50	50	40	80	65	50	20	57	0	27	1	575,000$
4	Ty Young (R)	100.00	75	50	60	87	50	50	50	50	50	50	40	68	59	80	20	56	0	21	1	750,000$
5	Kirill Gerasimyuk (R)	100.00	70	50	60	85	50	50	50	50	50	50	40	70	60	75	20	56	0	22	2	750,000$

	MOYENNE D’ÉQUIPE	100.00	82	62	68	89	62	61	59	60	60	60	49	75	68	62	20	65

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Scott Arniel	90	79	74	89	99	71	42	CAN	64	1	500,000$

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	2040	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2041	2042	2043	2044	Link
Aaron Ekblad	Panthers	D	29	1996-02-07	No	220 Lbs	6 ft4	No	No	Yes	4	Pro Only	8,000,000$	8,000,000$	8,000,000$	No	8,000,000$	8,000,000$	8,000,000$	UFA	Lien / Lien NHL
Alex Pietrangelo	Panthers	D	35	1990-01-18	No	215 Lbs	6 ft3	No	No	Yes	0	Pro Only	UFA	0$	0$	No					Lien / Lien NHL
Bobby Brink	Panthers	RW	24	2001-07-08	No	169 Lbs	5 ft8	No	No	Yes	2	Pro & Farm	3,250,000$	3,250,000$	3,250,000$	No	3,250,000$	RFA			Lien / Lien NHL
Casey Cizikas	Panthers	C	34	1991-02-27	No	191 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	No	UFA				Lien / Lien NHL
Chandler Stephenson	Panthers	C	31	1994-04-22	No	201 Lbs	6 ft0	No	No	Yes	2	Pro Only	6,000,000$	6,000,000$	6,000,000$	No	6,000,000$	UFA			Lien / Lien NHL
Clayton Keller	Panthers	RW	27	1998-07-29	No	175 Lbs	5 ft10	No	No	Yes	2	Pro Only	6,500,000$	6,500,000$	6,500,000$	No	6,500,000$	UFA			Lien / Lien NHL
Connor Clifton	Panthers	D	30	1995-04-28	No	196 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	No	UFA				Lien / Lien NHL
Connor Hellebuyck	Panthers	G	32	1993-05-19	No	207 Lbs	6 ft4	No	No	Yes	2	Pro Only	8,000,000$	8,000,000$	8,000,000$	No	8,000,000$	UFA			Lien / Lien NHL
Dmitri Voronkov	Panthers	LW	25	2000-09-10	No	234 Lbs	6 ft5	No	No	No	0	Pro & Farm	RFA	0$	0$	No					Lien / Lien NHL
Dylan Demelo	Panthers	D	32	1993-05-01	No	194 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	No	UFA				Lien / Lien NHL
Jaccob Slavin	Panthers	D	31	1994-05-01	No	207 Lbs	6 ft3	No	No	Yes	2	Pro Only	7,000,000$	7,000,000$	7,000,000$	No	7,000,000$	UFA			Lien / Lien NHL
Jalen Chatfield	Panthers	D	29	1996-05-15	No	209 Lbs	6 ft1	No	No	No	0	Pro & Farm	UFA	0$	0$	No					Lien / Lien NHL
Justus Annunen	Panthers	G	25	2000-03-11	No	210 Lbs	6 ft4	No	No	Yes	2	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	No	2,500,000$	RFA			Lien / Lien NHL
Kent Johnson	Panthers	C	23	2002-10-18	No	170 Lbs	6 ft0	No	No	No	0	Pro & Farm	RFA	0$	0$	No					Lien / Lien NHL
Mark Stone	Panthers	RW	33	1992-05-13	No	210 Lbs	6 ft3	No	No	Yes	3	Pro Only	10,000,000$	10,000,000$	10,000,000$	No	10,000,000$	10,000,000$	UFA		Lien / Lien NHL
Mason Marchment	Panthers	LW	30	1995-06-18	No	212 Lbs	6 ft5	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No					Lien / Lien NHL
Matt Rempe	Panthers	C	23	2002-06-29	No	261 Lbs	6 ft9	No	No	No	0	Pro & Farm	RFA	0$	0$	No					Lien / Lien NHL
Ondrej Palat	Panthers	LW	34	1991-03-28	No	194 Lbs	6 ft0	Yes	No	No	3	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No	2,000,000$	2,000,000$	UFA		Lien / Lien NHL
Pierre-Luc Dubois	Panthers	C	27	1998-06-24	No	220 Lbs	6 ft4	No	No	Yes	2	Pro Only	6,500,000$	6,500,000$	6,500,000$	No	6,500,000$	UFA			Lien / Lien NHL
Tomas Hertl	Panthers	C	32	1993-11-12	No	220 Lbs	6 ft3	No	No	Yes	1	Pro Only	7,500,000$	7,500,000$	7,500,000$	No	UFA				Lien / Lien NHL
Tyler Seguin	Panthers	C	33	1992-01-31	No	205 Lbs	6 ft2	No	No	Yes	1	Pro Only	7,500,000$	7,500,000$	7,500,000$	No	UFA				Lien / Lien NHL
Tyler Tucker	Panthers	D	25	2000-03-01	No	204 Lbs	6 ft1	No	No	No	0	Pro & Farm	RFA	0$	0$	No					Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	29.27	206 Lbs	6 ft2	1.32	3,784,091$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
83,250,000$	59,750,000$	20,000,000$	8,000,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Clayton Keller	Tyler Seguin	Mark Stone	40	1	2	2
2		Pierre-Luc Dubois		30	1	2	2
3		Chandler Stephenson	Carter Verhaeghe	20	1	2	2
4	Ondrej Palat	Casey Cizikas	Bobby Brink	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Aaron Ekblad	Jaccob Slavin	40	1	2	2
2		Connor Clifton	30	1	2	2
3	Dylan Demelo		20	1	2	2
4	Aaron Ekblad	Jaccob Slavin	10	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Clayton Keller	Tyler Seguin	Mark Stone	60	1	2	2
2		Pierre-Luc Dubois		40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Aaron Ekblad	Jaccob Slavin	60	1	2	2
2		Connor Clifton	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Mark Stone	Clayton Keller	60	1	2	2
2	Tyler Seguin	Pierre-Luc Dubois	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Aaron Ekblad	Jaccob Slavin	60	1	2	2
2		Connor Clifton	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Mark Stone	60	1	2	2	Aaron Ekblad	Jaccob Slavin	60	1	2	2
2	Clayton Keller	40	1	2	2		Connor Clifton	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Mark Stone	Clayton Keller	60	1	2	2
2	Tyler Seguin	Pierre-Luc Dubois	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Aaron Ekblad	Jaccob Slavin	60	1	2	2
2		Connor Clifton	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Clayton Keller	Tyler Seguin	Mark Stone	Aaron Ekblad	Jaccob Slavin

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Clayton Keller	Tyler Seguin	Mark Stone	Aaron Ekblad	Jaccob Slavin

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Chandler Stephenson, , Carter Verhaeghe	Chandler Stephenson,	Carter Verhaeghe

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Dylan Demelo, ,	Dylan Demelo	,

Tirs de pénalité
Mark Stone, Clayton Keller, Tyler Seguin, Pierre-Luc Dubois,

Gardien
#1 : Connor Hellebuyck, #2 : Justus Annunen

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

Mason Marchment

AGE:30
SK:		82
EN:		84
DU:		89
PH:		72
PA:		71
SC:		73
DF:		70
Dmitri Voronkov

AGE:25
SK:		78
EN:		78
DU:		86
PH:		66
PA:		60
SC:		72
DF:		66
Beck Malenstyn

AGE:27
SK:		75
EN:		74
DU:		98
PH:		52
PA:		47
SC:		57
DF:		81
Ondrej Palat

AGE:34
SK:		78
EN:		76
DU:		98
PH:		53
PA:		50
SC:		55
DF:		72
Zack MacEwen

AGE:29
SK:		75
EN:		60
DU:		50
PH:		51
PA:		44
SC:		58
DF:		64
Jackson Hallum (R)

AGE:23
SK:		87
EN:		78
DU:		68
PH:		40
PA:		39
SC:		42
DF:		70
Maxim Groshev

AGE:24
SK:		75
EN:		67
DU:		57
PH:		41
PA:		45
SC:		36
DF:		70
Chase DeLeo

AGE:30
SK:		75
EN:		60
DU:		50
PH:		44
PA:		44
SC:		44
DF:		57
Cam Squires (R)

AGE:20
SK:		88
EN:		60
DU:		50
PH:		39
PA:		39
SC:		39
DF:		63
Devin Kaplan (R)

AGE:21
SK:		81
EN:		60
DU:		50
PH:		36
PA:		33
SC:		38
DF:		50

Tomas Hertl

AGE:32
SK:		84
EN:		83
DU:		99
PH:		74
PA:		74
SC:		74
DF:		69
Chandler Stephenson

AGE:31
SK:		86
EN:		87
DU:		98
PH:		70
PA:		74
SC:		66
DF:		71
Tyler Seguin

AGE:33
SK:		84
EN:		82
DU:		62
PH:		71
PA:		70
SC:		71
DF:		68
Pierre-Luc Dubois

AGE:27
SK:		82
EN:		82
DU:		63
PH:		72
PA:		80
SC:		64
DF:		61
Dryden Hunt

AGE:30
SK:		88
EN:		61
DU:		51
PH:		75
PA:		70
SC:		58
DF:		69
Casey Cizikas

AGE:34
SK:		79
EN:		74
DU:		98
PH:		54
PA:		48
SC:		60
DF:		79
Kent Johnson

AGE:23
SK:		81
EN:		77
DU:		95
PH:		57
PA:		56
SC:		58
DF:		66
Matt Rempe

AGE:23
SK:		75
EN:		69
DU:		61
PH:		47
PA:		40
SC:		53
DF:		66
James Hamblin

AGE:26
SK:		78
EN:		73
DU:		63
PH:		51
PA:		38
SC:		65
DF:		70
Reese Johnson

AGE:27
SK:		75
EN:		60
DU:		50
PH:		38
PA:		36
SC:		40
DF:		58
Scott Reedy

AGE:26
SK:		75
EN:		60
DU:		50
PH:		40
PA:		36
SC:		43
DF:		55

Mark Stone

AGE:33
SK:		95
EN:		87
DU:		84
PH:		95
PA:		99
SC:		88
DF:		90
Clayton Keller

AGE:27
SK:		98
EN:		87
DU:		99
PH:		89
PA:		99
SC:		76
DF:		68
Justin Brazeau

AGE:27
SK:		78
EN:		76
DU:		87
PH:		67
PA:		62
SC:		72
DF:		70
Raphael Lavoie

AGE:25
SK:		84
EN:		60
DU:		50
PH:		76
PA:		67
SC:		70
DF:		65
Bobby Brink

AGE:24
SK:		85
EN:		80
DU:		89
PH:		63
PA:		58
SC:		68
DF:		67
Mitchell Chaffee

AGE:27
SK:		75
EN:		71
DU:		51
PH:		49
PA:		47
SC:		50
DF:		60
Julien Gauthier

AGE:28
SK:		75
EN:		60
DU:		50
PH:		45
PA:		36
SC:		53
DF:		62
Brandon Biro

AGE:27
SK:		78
EN:		60
DU:		50
PH:		50
PA:		51
SC:		39
DF:		58
Jacob Perreault

AGE:23
SK:		75
EN:		60
DU:		50
PH:		40
PA:		32
SC:		48
DF:		62

Défense #1

Défense #2

Gardien

Aaron Ekblad

AGE:29
SK:		77
EN:		87
DU:		92
PH:		61
PA:		65
SC:		57
DF:		83
Dylan Demelo

AGE:32
SK:		78
EN:		85
DU:		99
PH:		55
PA:		56
SC:		55
DF:		83
Sam Malinski

AGE:27
SK:		86
EN:		79
DU:		99
PH:		67
PA:		72
SC:		62
DF:		78
Jaccob Slavin

AGE:31
SK:		75
EN:		85
DU:		70
PH:		54
PA:		55
SC:		53
DF:		95
Connor Clifton

AGE:30
SK:		76
EN:		77
DU:		77
PH:		51
PA:		47
SC:		55
DF:		82
Jalen Chatfield

AGE:29
SK:		77
EN:		83
DU:		92
PH:		55
PA:		57
SC:		53
DF:		79
Alex Pietrangelo

AGE:35
SK:		80
EN:		55
DU:		50
PH:		65
PA:		73
SC:		57
DF:		85

Tyler Tucker

AGE:25
SK:		78
EN:		74
DU:		90
PH:		56
PA:		57
SC:		55
DF:		71
Ty Nelson (R)

AGE:21
SK:		77
EN:		67
DU:		62
PH:		51
PA:		51
SC:		51
DF:		70
Jaycob Megna

AGE:33
SK:		75
EN:		68
DU:		63
PH:		33
PA:		29
SC:		38
DF:		70
John Ludvig

AGE:25
SK:		75
EN:		55
DU:		50
PH:		42
PA:		49
SC:		34
DF:		65
Ville Heinola

AGE:24
SK:		75
EN:		55
DU:		50
PH:		46
PA:		54
SC:		38
DF:		58
Filip Roos

AGE:26
SK:		75
EN:		55
DU:		50
PH:		35
PA:		41
SC:		30
DF:		55

Connor Hellebuyck

AGE:32
SK:		94
AG:		84
RB:		85
SC:		84
HS:		84
RT:		83
DF:		84
Justus Annunen

AGE:25
SK:		88
AG:		92
RB:		84
SC:		78
HS:		86
RT:		87
DF:		83
Thomas Milic

AGE:22
SK:		90
AG:		55
RB:		55
SC:		54
HS:		53
RT:		52
DF:		55
Jesper Vikman

AGE:23
SK:		81
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Dylan Ferguson

AGE:27
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Ty Young (R)

AGE:21
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Kirill Gerasimyuk (R)

AGE:22
SK:		70
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
Antoine Dorion	Panthers	2038	205
Ben Macdonald	Panthers	2036	108
Ben Roger	Panthers	2035	58
Carlos Handel	Panthers	2039	169
Connor Levis	Panthers	2037	198
Daniel Ljungman	Panthers	2034	186
Ethan Miedema	Panthers	2037	99
Jacob Cloutier	Panthers	2039	200
Jonathan Morello	Panthers	2038	151
Joona Vaisanen	Panthers	2038	174
Kamil Bednarik	Panthers	2038	42
Milton Oscarson	Panthers	2037	167
Quinn Beauchesne	Panthers	2039	138
Rasmus Korhonen	Panthers	2035	151
Samu Salminen	Panthers	2035	76
Topi Ronni	Panthers	2036	77

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7
2040
2041
2042
2043

Panthers 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	Vladimir Tarasenko	1092	368	436	804	32	555	1168	1566	3364	10.94%	172	20245	18.54	101	159	260	832	4	2	6	72	48	15	35.01%	5	0.79	19	49
2	Alex Pietrangelo	735	158	530	688	-1	595	654	1306	1638	9.65%	1416	18797	25.58	104	180	284	1028	4	11	15	18	22	5	0.00%	2	0.73	1	1
3	Evgeny Kuznetsov	1001	221	466	687	-61	421	928	2070	2173	10.17%	169	18049	18.03	64	172	236	497	5	6	11	59	31	10	49.86%	3	0.76	11	44
4	Tyler Seguin	625	241	386	627	130	373	833	1718	2089	11.54%	96	13628	21.81	63	138	201	512	5	8	13	67	33	10	54.05%	5	0.92	6	44
5	Aki Berg	1067	225	341	566	64	930	1497	1291	2084	10.80%	606	18854	17.67	38	62	100	264	9	12	21	67	33	10	46.73%	3	0.60	18	51

Panthers 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	A	EG	PS %	PSA
1	Marc-Andre Fleury	260	133	105	12	0.901	3.21	14742	38	8	789	7974	8	5	0.719	64
2	Braden Holtby	151	96	40	15	0.908	2.66	8892	8	6	394	4262	12	2	0.708	48
3	Simeon Varlamov	152	80	48	11	0.905	3.09	8602	14	4	443	4639	5	1	0.745	47
4	Jeremy Swayman	106	56	38	5	0.893	3.25	5868	12	3	318	2976	6	0	0.786	14
5	Ryan Miller	78	50	21	3	0.913	2.75	4458	27	2	204	2348	5	0	0.938	32

Panthers 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	30	38	0	2	1	9	2	233	227	6	41	14	19	0	1	0	7	0	125	122	3	41	16	19	0	1	1	2	2	108	105	3	65	233	360	593	1	4	0	59	81	82	2243	0	753	730	743	2365	804	1262	1812	246	33	13.41%	320	53	83.44%	11	864	1787	48.35%	939	1929	48.68%	664	1286	51.63%	1768	984	1844	846	1545	771
2018	82	38	32	0	2	4	2	4	252	224	28	41	19	18	0	0	1	1	2	125	112	13	41	19	14	0	2	3	1	2	127	112	15	84	252	416	668	0	4	0	63	97	88	2592	0	813	885	880	2436	862	1092	1833	233	40	17.17%	216	43	80.09%	10	981	1992	49.25%	986	1999	49.32%	677	1339	50.56%	1716	958	1710	769	1536	767
2019	82	25	35	0	2	5	2	13	222	251	-29	41	13	20	0	1	1	1	5	107	124	-17	41	12	15	0	1	4	1	8	115	127	-12	59	222	343	565	3	0	0	47	89	82	2528	0	673	940	870	2463	857	906	1667	221	48	21.72%	238	48	79.83%	5	959	1963	48.85%	920	1967	46.77%	587	1194	49.16%	1619	839	1764	798	1619	802
2020	82	25	37	0	2	4	7	7	212	252	-40	41	15	17	0	1	2	2	4	112	122	-10	41	10	20	0	1	2	5	3	100	130	-30	58	212	331	543	2	3	0	45	75	83	2269	0	616	825	797	2575	833	1272	1854	222	37	16.67%	239	54	77.41%	4	846	1888	44.81%	960	2053	46.76%	545	1172	46.50%	1643	850	1740	790	1617	814
2021	82	28	41	0	2	1	5	5	244	284	-40	41	13	22	0	1	1	1	3	118	150	-32	41	15	19	0	1	0	4	2	126	134	-8	61	244	436	680	2	3	0	81	78	78	2555	0	859	841	829	2727	745	947	1938	434	75	17.28%	367	69	81.20%	1	1304	3106	41.98%	1179	3030	38.91%	508	1317	38.57%	1917	1304	2027	611	1031	511
2022	82	44	25	0	1	2	8	2	300	236	64	41	20	15	0	1	0	4	1	153	116	37	41	24	10	0	0	2	4	1	147	120	27	92	300	530	830	0	3	0	96	94	101	2741	0	877	874	957	2565	786	974	1828	427	107	25.06%	406	72	82.27%	3	1605	3183	50.42%	1532	3113	49.21%	626	1296	48.30%	1949	1329	1997	620	1031	521
2023	82	34	35	0	0	2	4	7	250	256	-6	41	20	15	0	0	2	2	2	135	124	11	41	14	20	0	0	0	2	5	115	132	-17	70	250	445	695	0	3	0	93	73	80	2333	0	774	783	760	2571	774	997	1788	439	106	24.15%	390	89	77.18%	2	1392	2895	48.08%	1365	3059	44.62%	662	1357	48.78%	1986	1371	1960	601	1030	523
2024	82	22	49	0	1	3	4	3	233	332	-99	41	9	25	0	1	2	1	3	116	178	-62	41	13	24	0	0	1	3	0	117	154	-37	60	233	406	639	4	1	0	90	70	68	2320	0	729	769	807	2756	859	1095	1769	434	71	16.36%	439	113	74.26%	4	1334	2823	47.25%	1318	3153	41.80%	597	1318	45.30%	1926	1320	2030	615	1008	491
2025	82	35	32	0	3	3	5	4	286	258	28	41	20	15	0	1	1	1	3	150	130	20	41	15	17	0	2	2	4	1	136	128	8	93	286	504	790	1	3	0	100	94	84	2702	0	871	910	891	2520	765	1010	1849	432	87	20.14%	428	71	83.41%	5	1619	3121	51.87%	1502	2923	51.39%	704	1329	52.97%	2052	1423	1896	606	1032	521
2026	82	41	27	0	2	5	3	4	286	261	25	41	18	13	0	2	2	3	3	143	136	7	41	23	14	0	0	3	0	1	143	125	18	101	286	512	798	1	5	0	113	89	79	2552	0	867	850	815	2700	798	1029	1788	446	92	20.63%	414	86	79.23%	6	1489	3007	49.52%	1452	3133	46.35%	648	1343	48.25%	1983	1362	1944	609	1036	519
2027	82	45	25	0	3	2	0	7	292	228	64	41	24	12	0	1	1	0	3	147	109	38	41	21	13	0	2	1	0	4	145	119	26	105	292	519	811	1	1	0	94	107	88	2812	0	939	944	908	2266	627	996	1818	439	97	22.10%	418	76	81.82%	0	1760	3186	55.24%	1431	2843	50.33%	706	1329	53.12%	2131	1506	1816	592	1019	527
2030	82	50	17	0	2	2	4	7	332	231	101	41	23	7	0	2	1	3	5	157	105	52	41	27	10	0	0	1	1	2	175	126	49	121	332	580	912	1	6	0	116	112	98	3078	0	1009	1065	975	2501	765	923	1791	476	111	23.32%	383	71	81.46%	4	1734	3385	51.23%	1391	3015	46.14%	694	1358	51.10%	2077	1470	1887	599	1020	518
2031	82	27	38	0	5	3	4	5	261	279	-18	41	17	20	0	1	1	0	2	128	133	-5	41	10	18	0	4	2	4	3	133	146	-13	80	261	464	725	0	3	0	91	78	83	2539	0	818	840	851	2803	801	1076	1906	380	82	21.58%	443	99	77.65%	3	1473	3017	48.82%	1411	3175	44.44%	667	1340	49.78%	1899	1288	2042	612	1038	514
2032	82	25	41	0	3	6	5	2	264	312	-48	41	12	23	0	3	2	1	0	124	150	-26	41	13	18	0	0	4	4	2	140	162	-22	74	264	457	721	0	1	0	89	83	84	2481	0	868	800	790	2737	756	1044	1856	411	79	19.22%	453	95	79.03%	7	1461	2976	49.09%	1424	3022	47.12%	658	1337	49.21%	1935	1323	2019	615	1021	509
2033	82	41	28	0	4	2	4	3	310	271	39	41	23	13	0	1	0	2	2	163	135	28	41	18	15	0	3	2	2	1	147	136	11	103	310	548	858	2	5	0	124	93	85	2812	0	904	946	936	2582	800	1105	1943	404	73	18.07%	457	82	82.06%	6	1574	3093	50.89%	1536	3066	50.10%	665	1364	48.75%	1911	1305	2035	623	1022	496
2034	82	38	32	0	2	3	4	3	262	277	-15	41	21	12	0	1	1	4	2	140	128	12	41	17	20	0	1	2	0	1	122	149	-27	94	262	451	713	0	2	0	105	85	66	2511	0	784	865	847	2806	765	937	1760	413	76	18.40%	406	78	80.79%	2	1542	2933	52.57%	1586	3160	50.19%	690	1337	51.61%	1901	1297	2030	623	1034	507
2035	82	38	36	0	3	1	3	1	248	265	-17	41	16	21	0	2	1	1	0	127	145	-18	41	22	15	0	1	0	2	1	121	120	1	90	248	444	692	2	3	0	92	70	80	2544	0	791	839	893	2834	806	982	1933	366	66	18.03%	435	88	79.77%	1	1511	2966	50.94%	1456	3280	44.39%	638	1320	48.33%	1869	1264	2057	615	1025	499
2036	82	28	41	0	6	3	3	1	290	317	-27	41	14	20	0	3	2	2	0	146	160	-14	41	14	21	0	3	1	1	1	144	157	-13	78	290	513	803	1	0	0	96	89	96	2631	0	858	839	905	2554	738	891	1705	379	77	20.32%	376	87	76.86%	4	1568	2885	54.35%	1394	2804	49.71%	703	1378	51.02%	1996	1401	1951	594	1012	511
2037	82	43	28	0	4	3	2	2	285	248	37	41	20	14	0	2	3	1	1	146	133	13	41	23	14	0	2	0	1	1	139	115	24	103	285	508	793	0	3	106	88	85	6	2532	811	885	817	30	2498	747	1005	1707	394	91	23.10%	434	67	84.56%	4	1579	2842	55.56%	1577	2935	53.73%	694	1313	52.86%	2024	1414	1900	602	1028	517
2038	82	32	34	0	5	7	2	2	270	278	-8	41	18	16	0	1	5	0	1	136	125	11	41	14	18	0	4	2	2	1	134	153	-19	87	270	473	743	1	3	94	89	80	9	2451	809	816	802	37	2531	781	918	1797	394	67	17.01%	404	79	80.45%	6	1471	2845	51.70%	1466	2861	51.24%	711	1339	53.10%	1980	1360	1949	606	1041	523
2039	82	38	29	0	2	5	4	4	273	241	32	41	19	14	0	1	2	3	2	145	115	30	41	19	15	0	1	3	1	2	128	126	2	97	273	495	768	1	2	103	85	79	10	2588	874	836	847	61	2370	680	871	1687	400	69	17.25%	368	71	80.71%	5	1555	2946	52.78%	1400	2822	49.61%	686	1299	52.81%	2088	1481	1867	590	1018	513
Total Saison régulière	1722	727	700	0	56	67	84	88	5605	5528	77	861	368	351	0	27	31	40	44	2843	2752	91	861	359	349	0	29	36	44	44	2762	2776	-14	1775	5605	9735	15340	23	58	303	1856	1801	1530	53814	2494	17340	18011	15582	54160	16349	21332	38029	7990	1584	19.82%	8034	1591	80.20%	93	29621	58839	50.34%	28225	59342	47.56%	13730	27665	49.63%	40378	26860	40472	13547	23774	11885
Séries éliminatoires
2017	6	2	4	0	0	0	0	0	16	13	3	3	1	2	0	0	0	0	0	9	6	3	3	1	2	0	0	0	0	0	7	7	0	4	16	28	44	0	2	0	7	3	6	160	0	52	46	60	152	51	76	143	17	2	11.76%	28	3	89.29%	1	49	125	39.20%	76	149	51.01%	45	103	43.69%	123	65	1973	907	121	57
2018	15	10	5	0	0	0	0	0	37	33	4	7	5	2	0	0	0	0	0	21	17	4	8	5	3	0	0	0	0	0	16	16	0	20	37	62	99	0	2	0	12	10	12	429	0	142	147	128	421	116	215	305	35	8	22.86%	51	10	80.39%	0	155	355	43.66%	157	347	45.24%	112	226	49.56%	305	161	317	146	301	147
2022	18	10	8	0	0	0	0	0	59	51	8	10	5	5	0	0	0	0	0	31	34	-3	8	5	3	0	0	0	0	0	28	17	11	20	59	107	166	1	1	0	27	12	20	627	0	230	165	227	548	143	181	357	90	21	23.33%	78	15	80.77%	0	395	732	53.96%	351	661	53.10%	136	268	50.75%	444	309	424	132	218	109
2025	6	2	4	0	0	0	0	0	16	21	-5	3	1	2	0	0	0	0	0	7	10	-3	3	1	2	0	0	0	0	0	9	11	-2	4	16	30	46	0	0	0	4	8	4	189	0	55	66	68	188	49	56	158	26	4	15.38%	28	6	78.57%	0	109	223	48.88%	111	219	50.68%	48	92	52.17%	143	98	141	42	75	37
2026	9	5	4	0	0	0	0	0	35	37	-2	5	3	2	0	0	0	0	0	19	18	1	4	2	2	0	0	0	0	0	16	19	-3	10	35	64	99	0	0	0	15	12	7	297	0	97	111	85	327	85	121	199	64	14	21.88%	51	9	82.35%	1	194	355	54.65%	162	368	44.02%	84	160	52.50%	233	164	204	64	109	57
2027	7	3	4	0	0	0	0	0	29	24	5	3	1	2	0	0	0	0	0	12	11	1	4	2	2	0	0	0	0	0	17	13	4	6	29	51	80	0	0	0	10	14	5	264	0	73	87	82	196	64	89	185	56	14	25.00%	43	8	81.40%	0	141	320	44.06%	138	262	52.67%	63	128	49.22%	200	140	171	58	98	49
2030	4	0	4	0	0	0	0	0	9	15	-6	2	0	2	0	0	0	0	0	4	6	-2	2	0	2	0	0	0	0	0	5	9	-4	0	9	16	25	0	0	0	3	4	2	141	0	35	56	31	164	53	55	111	24	3	12.50%	25	8	68.00%	0	87	170	51.18%	82	194	42.27%	29	69	42.03%	106	72	104	30	51	26
2033	4	0	4	0	0	0	0	0	12	17	-5	2	0	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	6	9	-3	0	12	22	34	0	0	0	3	5	4	166	0	58	45	42	161	29	70	91	26	5	19.23%	34	9	73.53%	0	86	188	45.74%	91	188	48.40%	31	74	41.89%	112	77	118	36	57	26
2034	4	0	4	0	0	0	0	0	9	14	-5	2	0	2	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	5	7	-2	0	9	16	25	0	0	0	6	3	0	106	0	39	29	34	130	53	43	77	24	3	12.50%	18	2	88.89%	0	69	137	50.36%	75	156	48.08%	38	66	57.58%	90	59	112	33	53	24
2037	5	1	4	0	0	0	0	0	8	14	-6	2	0	2	0	0	0	0	0	3	7	-4	3	1	2	0	0	0	0	0	5	7	-2	2	8	14	22	1	1	1	3	4	0	124	37	43	44	0	173	46	77	85	16	1	6.25%	32	6	81.25%	0	79	148	53.38%	113	220	51.36%	37	65	56.92%	112	76	125	36	62	30
2039	7	3	4	0	0	0	0	0	27	21	6	3	1	2	0	0	0	0	0	11	9	2	4	2	2	0	0	0	0	0	16	12	4	6	27	50	77	1	2	10	11	5	1	200	68	72	56	4	200	46	52	152	46	14	30.43%	24	8	66.67%	0	124	229	54.15%	111	245	45.31%	55	110	50.00%	172	121	162	51	87	43
Total Séries éliminatoires	85	36	49	0	0	0	0	0	257	260	-3	42	17	25	0	0	0	0	0	127	133	-6	43	19	24	0	0	0	0	0	130	127	3	72	257	460	717	3	8	11	101	80	61	2703	105	896	852	761	2660	735	1035	1863	424	89	20.99%	412	84	79.61%	2	1488	2982	49.90%	1467	3009	48.75%	678	1361	49.82%	2044	1349	3854	1540	1235	610

Panthers 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	FO%	P/20
1	Aki Berg	108	16	28	44	20	76	143	118	160	10.00%	51	1810	16.77	2	3	5	14	1	2	3	3	2	45.09%	0.49
2	Vladimir Tarasenko	52	18	22	40	2	12	31	62	174	10.34%	7	979	18.83	4	8	12	35	1	0	1	4	3	27.78%	0.82
3	Alex Pietrangelo	40	11	28	39	3	36	15	76	87	12.64%	57	1001	25.04	9	9	18	67	0	1	1	0	2	0.00%	0.78
4	Drew Doughty	48	7	30	37	2	105	126	58	98	7.14%	50	1110	23.15	5	9	14	33	0	0	0	3	2	0.00%	0.67
5	Tyler Seguin	23	9	15	24	-2	8	33	64	68	13.24%	2	546	23.75	7	10	17	24	0	0	0	1	1	52.58%	0.88

Panthers 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	Henrik Lundqvist	15	10	4	1	0.920	2.17	911	0	2	33	415	161	1	0
2	Ryan Miller	14	7	4	1	0.913	2.75	787	21	0	36	415	0	0	1
3	Jaroslav Halak	9	5	4	0	0.891	3.97	514	0	0	34	311	0	0	0
4	Antti Niemi	6	3	3	0	0.894	2.82	298	0	1	14	132	0	0	0
5	Braden Holtby	10	3	3	3	0.893	3.16	646	2	0	34	319	0	0	0