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	Patrick Gagnon
	Entraîneur	Rick Tocchet
	Division	Metropolitan
	Conférence	Eastern
	Capitaine
	Assistant #1
	Assistant #2
Uniformes

Informations de l’aréna
	Nom	Polar Coke Arena
	Capacité	23,000
	Assistance
	Billets de saison	9,200
Information formation
	Équipe Pro	18
	Équipe Mineure	36
	Limite contact	54 / 55
	Espoirs	27
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	7
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	45,966,261$
	Compte bancaire projeté	45,966,261$
Historique d'équipe
	Saison actuelle	0-0-0 (0PTS)
	Historique	813-739-169 (0.472%)
	Apparitions séries éliminatoires	8
	Historique séries éliminatoires (W-L)	46-43
	Stanley Cup	0

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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	Kaapo Kakko			X		100.00	51	53	86	84	71	79	87	70	40	74	66	70	70	74	77	65	20	69	0	24	1	3,750,000$
2	Nikita Grebenkin			X		100.00	77	60	73	76	70	74	81	55	40	55	56	64	40	70	72	75	20	62	0	22	2	925,000$
3	Brett Berard		X			100.00	71	39	81	76	43	72	52	45	40	40	50	67	40	72	72	70	20	56	0	23	1	925,000$
4	Jacob Middleton				X	100.00	67	72	70	75	77	79	94	54	40	55	53	77	40	84	82	40	20	70	0	29	4	6,500,000$
5	Andrew Peeke				X	100.00	72	55	84	75	74	82	96	54	40	50	58	73	40	80	81	50	20	69	0	27	1	3,250,000$
Rayé
1	Jamie Benn		X			100.00	71	64	72	83	72	77	84	70	84	69	71	66	71	98	88	5	20	71	0	36	0	0$
2	William Karlsson	X				100.00	45	46	84	84	56	80	53	66	93	58	73	89	70	90	85	25	20	69	0	32	0	0$
3	Aatu Raty	X				100.00	99	51	83	76	67	75	88	54	96	52	55	73	40	72	74	70	20	65	0	23	0	0$
4	Jeff Skinner		X			100.00	52	47	81	82	59	75	65	62	40	58	65	64	57	92	84	20	20	64	0	33	0	0$
5	Ozzy Wiesblatt	X				100.00	99	52	71	78	49	72	70	50	40	48	52	69	99	72	72	70	20	61	0	23	0	0$
6	Oliver Wahlstrom			X		100.00	59	66	75	75	68	71	61	53	40	44	62	50	99	76	74	60	20	58	0	25	0	0$
7	Logan Stanley				X	100.00	74	84	56	75	91	77	95	61	40	58	65	73	40	80	79	50	20	71	0	27	0	0$
8	Albert Johansson				X	100.00	56	47	86	76	59	76	99	51	40	48	55	74	40	74	75	65	20	66	0	24	0	0$
9	Justin Barron				X	100.00	57	54	83	75	64	74	79	52	40	54	50	70	40	74	74	65	20	64	0	24	0	0$
Équipe Mineure
1	Luke Glendening	X				100.00	72	45	88	77	54	72	91	50	88	48	52	78	40	98	85	5	20	63	0	36	1	2,000,000$
2	Ryan Winterton	X				100.00	65	47	86	79	53	74	89	56	40	57	55	74	40	70	72	75	30	63	0	22	1	925,000$
3	Samuel Helenius	X				100.00	99	83	71	75	86	68	79	52	80	46	58	63	40	72	70	70	25	62	0	23	1	900,000$
4	Rory Kerins	X				100.00	49	44	84	86	54	65	55	67	70	70	62	50	40	72	69	70	20	62	0	23	1	925,000$
5	Landon Slaggert		X			100.00	75	43	84	77	51	72	79	50	40	46	55	75	40	72	72	70	28	61	0	23	1	925,000$
6	Valtteri Puustinen			X		100.00	58	42	85	79	47	68	58	53	40	59	47	67	99	78	73	55	20	59	0	26	1	2,000,000$
7	William Stromgren			X		100.00	54	42	74	76	62	75	65	54	40	65	44	58	40	70	73	75	28	59	0	22	1	750,000$
8	Hunter Haight (R)		X			100.00	55	45	82	77	50	63	53	49	40	41	57	50	99	68	66	80	20	54	0	21	2	925,000$
9	Caedan Bankier	X				100.00	55	48	85	75	61	75	65	37	70	32	42	50	99	70	73	75	24	52	0	22	1	925,000$
10	Parker Bell (R)			X		100.00	81	59	77	75	76	62	52	30	40	25	35	50	40	70	66	75	20	49	0	22	2	925,000$
11	Haydn Fleury				X	100.00	73	54	84	75	73	73	69	50	40	44	56	68	40	84	79	40	20	65	0	29	1	2,000,000$
12	Nils Lundkvist				X	100.00	52	48	84	78	60	77	79	55	40	53	57	69	40	76	77	60	20	64	0	25	1	1,200,000$
13	Kyle Capobianco				X	100.00	49	50	85	75	64	70	66	52	40	47	57	70	40	82	76	45	20	63	0	28	1	2,000,000$
14	Elias Salomonsson				X	100.00	77	41	83	78	47	79	65	52	40	50	54	66	40	68	74	80	20	63	0	21	2	925,000$
15	Artem Duda (R)				X	100.00	62	46	74	75	63	55	50	46	40	53	39	67	40	68	62	80	20	59	0	21	2	925,000$
16	Kirill Kudryavtsev (R)				X	100.00	64	48	88	75	59	55	50	45	40	54	36	50	40	68	62	80	29	55	0	21	2	925,000$
17	Ryan Greene (R)	X				100.00	54	48	87	80	61	82	98	60	78	57	62	77	40	70	76	75	20	66	0	22	2	750,000$
18	Hendrix Lapierre	X				100.00	56	50	82	78	59	69	94	54	75	53	54	66	40	72	71	70	20	61	0	23	0	0$
19	Ben Hemmerling (R)		X			100.00	56	42	85	80	48	77	67	55	40	55	55	70	60	68	73	80	20	61	0	21	2	925,000$
20	Michael Sgarbossa	X				100.00	55	43	82	82	54	60	50	61	70	60	46	58	40	92	76	20	20	59	0	33	0	0$
21	Artem Shlaine (R)		X			100.00	46	35	86	87	56	76	66	48	40	43	53	54	40	72	74	70	23	57	0	23	2	750,000$
22	Mike Vecchione		X			100.00	60	56	85	77	54	60	50	49	40	44	53	57	40	90	75	25	20	56	0	32	0	0$
23	Ondrej Becher (R)	X				100.00	63	46	76	75	63	69	59	44	70	46	42	65	40	68	69	80	20	56	0	21	2	925,000$
24	Alexander Suzdalev (R)			X		100.00	48	36	88	85	60	60	50	49	40	48	50	60	40	68	64	80	30	56	0	21	3	925,000$
25	Brody Lamb (R)		X			100.00	46	35	87	88	56	60	50	50	40	47	52	59	40	70	65	75	26	56	0	22	2	750,000$
26	Oskar Olausson		X			100.00	53	47	82	75	53	72	62	44	40	42	46	53	40	72	72	70	20	54	0	23	0	0$
27	Dylan Peterson (R)		X			100.00	64	56	60	81	71	66	56	42	40	37	47	52	40	72	69	70	20	54	0	23	2	750,000$
28	Andrei Loshko (R)		X			100.00	46	36	84	86	55	60	50	36	40	34	38	63	40	68	64	80	20	51	0	21	3	925,000$
29	Lucas Ciona		X			100.00	75	74	56	75	70	60	50	33	40	27	39	58	40	70	65	75	20	50	0	22	0	0$
30	Ian Moore (R)				X	100.00	55	53	83	75	70	72	89	54	40	50	57	73	40	72	72	70	20	65	0	23	2	750,000$
31	Antti Tuomisto				X	100.00	65	55	80	75	80	72	67	45	40	45	44	70	40	74	73	65	20	63	0	24	0	0$
32	Dakota Mermis				X	100.00	57	66	70	76	60	72	51	51	40	40	61	69	40	88	80	30	20	62	0	31	0	0$
33	Daemon Hunt				X	100.00	55	48	86	77	60	70	65	53	40	55	50	67	40	72	71	70	20	62	0	23	0	0$
34	Anton Johansson (R)				X	100.00	70	59	68	75	65	55	50	44	40	57	30	51	40	68	62	80	20	56	0	21	2	925,000$
35	Quinton Burns (R)				X	100.00	66	67	31	83	64	55	50	32	40	33	30	60	40	66	61	85	20	55	0	20	3	925,000$

	MOYENNE D’ÉQUIPE					100.00	63	52	79	78	62	70	68	51	49	50	52	65	49	75	73	62	21	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	Elvis Merzlikins	100.00	83	67	67	89	77	74	75	73	71	68	95	88	81	30	20	74	0	31	2	4,250,000$
2	Samuel Montembeault	100.00	85	60	60	95	67	68	69	69	68	67	85	84	76	40	26	71	0	29	7	5,000,000$
3	Alexandar Georgiev	100.00	87	50	60	83	50	50	50	50	50	50	94	84	67	40	26	59	0	29	3	4,000,000$
Rayé
1	Arvid Soderblom	100.00	78	62	62	87	72	71	70	70	73	70	72	78	75	55	20	71	0	26	0	0$
Équipe Mineure
1	Akira Schmid	100.00	82	71	74	92	82	77	76	82	82	75	83	76	77	60	20	77	0	25	0	0$

	MOYENNE D’ÉQUIPE	100.00	83	62	65	89	70	68	68	69	69	66	86	82	75	45	22	70

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Rick Tocchet	96	91	79	76	97	72	46	CAN	62	2	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	2040	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2041	2042	2043	2044	2045	2046	2047	Link
Aatu Raty	Penguins	C	23	2002-11-14	No	204 Lbs	6 ft2	No	No	No	0	Pro & Farm	RFA	0$	0$	No								Lien / Lien NHL
Albert Johansson	Penguins	D	24	2001-01-04	No	195 Lbs	6 ft0	No	No	No	0	Pro & Farm	RFA	0$	0$	No								Lien / Lien NHL
Alexandar Georgiev	Penguins	G	29	1996-02-10	No	180 Lbs	6 ft1	No	No	Yes	3	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	No	4,000,000$	4,000,000$	UFA					Lien / Lien NHL
Andrew Peeke	Penguins	D	27	1998-03-17	No	214 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	3,250,000$	3,250,000$	3,250,000$	No	UFA							Lien / Lien NHL
Arvid Soderblom	Penguins	G	26	1999-08-19	No	180 Lbs	6 ft3	No	No	No	0	Pro & Farm	RFA	0$	0$	No								Lien / Lien NHL
Brett Berard	Penguins	LW	23	2002-09-09	No	175 Lbs	5 ft9	No	No	No	1	Pro & Farm	925,000$	925,000$	925,000$	No	RFA							Lien / Lien NHL
Elvis Merzlikins	Penguins	G	31	1994-04-13	No	181 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	4,250,000$	4,250,000$	4,250,000$	No	4,250,000$	UFA						Lien / Lien NHL
Jacob Middleton	Penguins	D	29	1996-01-02	No	219 Lbs	6 ft3	Yes	No	Yes	4	Pro Only	6,500,000$	6,500,000$	6,500,000$	No	6,500,000$	6,500,000$	6,500,000$	UFA				Lien / Lien NHL
Jamie Benn	Penguins	LW	36	1989-07-18	No	210 Lbs	6 ft3	No	No	Yes	0	Pro Only	UFA	0$	0$	No								Lien / Lien NHL
Jeff Skinner	Penguins	LW	33	1992-05-16	No	200 Lbs	5 ft11	No	No	Yes	0	Pro Only	UFA	0$	0$	No								Lien / Lien NHL
Justin Barron	Penguins	D	24	2001-11-15	No	198 Lbs	6 ft2	No	No	No	0	Pro & Farm	RFA	0$	0$	No								Lien / Lien NHL
Kaapo Kakko	Penguins	RW	24	2001-02-13	No	215 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	RFA							Lien / Lien NHL
Logan Stanley	Penguins	D	27	1998-05-26	No	231 Lbs	6 ft7	No	No	No	0	Pro & Farm	RFA	0$	0$	No								Lien / Lien NHL
Nikita Grebenkin	Penguins	RW	22	2003-05-02	No	210 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	925,000$	925,000$	No	925,000$	RFA						Lien / Lien NHL
Oliver Wahlstrom	Penguins	RW	25	2000-06-13	No	205 Lbs	6 ft2	No	No	No	0	Pro & Farm	RFA	0$	0$	No								Lien / Lien NHL
Ozzy Wiesblatt	Penguins	C	23	2002-03-09	No	183 Lbs	5 ft10	No	No	No	0	Pro & Farm	RFA	0$	0$	No								Lien / Lien NHL
Samuel Montembeault	Penguins	G	29	1996-10-30	No	192 Lbs	6 ft3	No	No	Yes	7	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$	5,000,000$	5,000,000$	5,000,000$	5,000,000$	5,000,000$	UFA	Lien / Lien NHL
William Karlsson	Penguins	C	32	1993-01-08	No	190 Lbs	6 ft0	No	No	Yes	0	Pro Only	UFA	0$	0$	No								Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
18	27.06	199 Lbs	6 ft2	1.17	1,588,889$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
28,600,000$	20,675,000$	15,500,000$	11,500,000$	5,000,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3	Brett Berard			20	1	2	2
4	Nikita Grebenkin			10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jacob Middleton		40	1	2	2
2	Andrew Peeke		30	1	2	2
3			20	1	2	2
4	Jacob Middleton		10	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jacob Middleton		60	1	2	2
2	Andrew Peeke		40	1	2	2

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

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jacob Middleton		60	1	2	2
2	Andrew Peeke		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	Jacob Middleton		60	1	2	2
2		40	1	2	2	Andrew Peeke		40	1	2	2

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

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jacob Middleton		60	1	2	2
2	Andrew Peeke		40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
			Jacob Middleton

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
			Jacob Middleton

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
, ,	,

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
, ,		,

Tirs de pénalité
, , , ,

Gardien
#1 : Elvis Merzlikins, #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

Jamie Benn

AGE:36
SK:		83
EN:		77
DU:		84
PH:		70
PA:		69
SC:		71
DF:		66
Jeff Skinner

AGE:33
SK:		82
EN:		75
DU:		65
PH:		62
PA:		58
SC:		65
DF:		64
Ben Hemmerling (R)

AGE:21
SK:		80
EN:		77
DU:		67
PH:		55
PA:		55
SC:		55
DF:		70
Landon Slaggert

AGE:23
SK:		77
EN:		72
DU:		79
PH:		50
PA:		46
SC:		55
DF:		75
Artem Shlaine (R)

AGE:23
SK:		87
EN:		76
DU:		66
PH:		48
PA:		43
SC:		53
DF:		54
Brody Lamb (R)

AGE:22
SK:		88
EN:		60
DU:		50
PH:		50
PA:		47
SC:		52
DF:		59
Brett Berard

AGE:23
SK:		76
EN:		72
DU:		52
PH:		45
PA:		40
SC:		50
DF:		67
Mike Vecchione

AGE:32
SK:		77
EN:		60
DU:		50
PH:		49
PA:		44
SC:		53
DF:		57
Hunter Haight (R)

AGE:21
SK:		77
EN:		63
DU:		53
PH:		49
PA:		41
SC:		57
DF:		50
Oskar Olausson

AGE:23
SK:		75
EN:		72
DU:		62
PH:		44
PA:		42
SC:		46
DF:		53
Dylan Peterson (R)

AGE:23
SK:		81
EN:		66
DU:		56
PH:		42
PA:		37
SC:		47
DF:		52
Andrei Loshko (R)

AGE:21
SK:		86
EN:		60
DU:		50
PH:		36
PA:		34
SC:		38
DF:		63
Lucas Ciona

AGE:22
SK:		75
EN:		60
DU:		50
PH:		33
PA:		27
SC:		39
DF:		58

William Karlsson

AGE:32
SK:		84
EN:		80
DU:		53
PH:		66
PA:		58
SC:		73
DF:		89
Ryan Greene (R)

AGE:22
SK:		80
EN:		82
DU:		98
PH:		60
PA:		57
SC:		62
DF:		77
Aatu Raty

AGE:23
SK:		76
EN:		75
DU:		88
PH:		54
PA:		52
SC:		55
DF:		73
Ryan Winterton

AGE:22
SK:		79
EN:		74
DU:		89
PH:		56
PA:		57
SC:		55
DF:		74
Luke Glendening

AGE:36
SK:		77
EN:		72
DU:		91
PH:		50
PA:		48
SC:		52
DF:		78
Samuel Helenius

AGE:23
SK:		75
EN:		68
DU:		79
PH:		52
PA:		46
SC:		58
DF:		63
Rory Kerins

AGE:23
SK:		86
EN:		65
DU:		55
PH:		67
PA:		70
SC:		62
DF:		50
Hendrix Lapierre

AGE:23
SK:		78
EN:		69
DU:		94
PH:		54
PA:		53
SC:		54
DF:		66
Ozzy Wiesblatt

AGE:23
SK:		78
EN:		72
DU:		70
PH:		50
PA:		48
SC:		52
DF:		69
Michael Sgarbossa

AGE:33
SK:		82
EN:		60
DU:		50
PH:		61
PA:		60
SC:		46
DF:		58
Ondrej Becher (R)

AGE:21
SK:		75
EN:		69
DU:		59
PH:		44
PA:		46
SC:		42
DF:		65
Caedan Bankier

AGE:22
SK:		75
EN:		75
DU:		65
PH:		37
PA:		32
SC:		42
DF:		50

Kaapo Kakko

AGE:24
SK:		84
EN:		79
DU:		87
PH:		70
PA:		74
SC:		66
DF:		70
Nikita Grebenkin

AGE:22
SK:		76
EN:		74
DU:		81
PH:		55
PA:		55
SC:		56
DF:		64
William Stromgren

AGE:22
SK:		76
EN:		75
DU:		65
PH:		54
PA:		65
SC:		44
DF:		58
Valtteri Puustinen

AGE:26
SK:		79
EN:		68
DU:		58
PH:		53
PA:		59
SC:		47
DF:		67
Oliver Wahlstrom

AGE:25
SK:		75
EN:		71
DU:		61
PH:		53
PA:		44
SC:		62
DF:		50
Alexander Suzdalev (R)

AGE:21
SK:		85
EN:		60
DU:		50
PH:		49
PA:		48
SC:		50
DF:		60
Parker Bell (R)

AGE:22
SK:		75
EN:		62
DU:		52
PH:		30
PA:		25
SC:		35
DF:		50

Défense #1

Défense #2

Gardien

Logan Stanley

AGE:27
SK:		75
EN:		77
DU:		95
PH:		61
PA:		58
SC:		65
DF:		73
Jacob Middleton

AGE:29
SK:		75
EN:		79
DU:		94
PH:		54
PA:		55
SC:		53
DF:		77
Andrew Peeke

AGE:27
SK:		75
EN:		82
DU:		96
PH:		54
PA:		50
SC:		58
DF:		73
Albert Johansson

AGE:24
SK:		76
EN:		76
DU:		99
PH:		51
PA:		48
SC:		55
DF:		74
Ian Moore (R)

AGE:23
SK:		75
EN:		72
DU:		89
PH:		54
PA:		50
SC:		57
DF:		73
Haydn Fleury

AGE:29
SK:		75
EN:		73
DU:		69
PH:		50
PA:		44
SC:		56
DF:		68
Justin Barron

AGE:24
SK:		75
EN:		74
DU:		79
PH:		52
PA:		54
SC:		50
DF:		70
Nils Lundkvist

AGE:25
SK:		78
EN:		77
DU:		79
PH:		55
PA:		53
SC:		57
DF:		69
Elias Salomonsson

AGE:21
SK:		78
EN:		79
DU:		65
PH:		52
PA:		50
SC:		54
DF:		66

Antti Tuomisto

AGE:24
SK:		75
EN:		72
DU:		67
PH:		45
PA:		45
SC:		44
DF:		70
Kyle Capobianco

AGE:28
SK:		75
EN:		70
DU:		66
PH:		52
PA:		47
SC:		57
DF:		70
Daemon Hunt

AGE:23
SK:		77
EN:		70
DU:		65
PH:		53
PA:		55
SC:		50
DF:		67
Dakota Mermis

AGE:31
SK:		76
EN:		72
DU:		51
PH:		51
PA:		40
SC:		61
DF:		69
Artem Duda (R)

AGE:21
SK:		75
EN:		55
DU:		50
PH:		46
PA:		53
SC:		39
DF:		67
Anton Johansson (R)

AGE:21
SK:		75
EN:		55
DU:		50
PH:		44
PA:		57
SC:		30
DF:		51
Quinton Burns (R)

AGE:20
SK:		83
EN:		55
DU:		50
PH:		32
PA:		33
SC:		30
DF:		60
Kirill Kudryavtsev (R)

AGE:21
SK:		75
EN:		55
DU:		50
PH:		45
PA:		54
SC:		36
DF:		50

Akira Schmid

AGE:25
SK:		82
AG:		82
RB:		77
SC:		76
HS:		82
RT:		82
DF:		75
Elvis Merzlikins

AGE:31
SK:		83
AG:		77
RB:		74
SC:		75
HS:		73
RT:		71
DF:		68
Arvid Soderblom

AGE:26
SK:		78
AG:		72
RB:		71
SC:		70
HS:		70
RT:		73
DF:		70
Samuel Montembeault

AGE:29
SK:		85
AG:		67
RB:		68
SC:		69
HS:		69
RT:		68
DF:		67
Alexandar Georgiev

AGE:29
SK:		87
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
Andrei Buyalsky	Penguins	2035	115
Aron Kiviharju	Penguins	2038	56
Ashton Schultz	Penguins	2039	198
Benjamin Rautiainen	Penguins	2039	146
Braeden Cootes	Penguins	2039	20
Cal Thomas	Penguins	2035	208
Cameron Reid	Penguins	2039	25
Charles Leddy	Penguins	2036	147
Charlie Stramel	Penguins	2037	40
Cole Chandler	Penguins	2039	167
Filip Barklund	Penguins	2034	199
Henry Mews	Penguins	2038	67
Jackson Smith	Penguins	2039	16
James Hagens	Penguins	2039	5
Lirim Amidovski	Penguins	2039	118
Matthew Gard	Penguins	2039	78
Maxim Masse	Penguins	2038	39
Maxim Strbak	Penguins	2037	71
Melker Thelin	Penguins	2037	164
Nikita Ishimnikov	Penguins	2037	195
Oskar Jellvik	Penguins	2035	177
Radim Mrtka	Penguins	2039	14
Samuel Jonsson	Penguins	2036	178
Servac Petrovsky	Penguins	2036	160
Talyn Boyko	Penguins	2035	146
Tij Iginla	Penguins	2038	7
Tomas Lavoie	Penguins	2038	65

Choix au repêchage

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

Penguins 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	Henrick Sedin	910	300	529	829	-31	435	1076	2520	2647	11.33%	269	21083	23.17	88	185	273	570	3	8	11	52	42	13	53.02%	4	0.79	12	86
2	Loui Eriksson	1204	335	484	819	26	210	631	1787	3409	9.83%	276	21293	17.69	93	172	265	822	5	7	12	46	48	21	33.52%	1	0.77	14	68
3	Daniel Sedin	872	323	407	730	-72	307	836	1550	2825	11.43%	248	19707	22.60	75	136	211	529	6	4	10	60	42	18	33.60%	5	0.74	20	72
4	Alexander Seluyanov	1436	255	416	671	59	969	1832	1817	2448	10.42%	840	24754	17.24	52	89	141	280	10	14	24	62	44	13	53.72%	2	0.54	7	27
5	Antoine Vermette	1026	248	324	572	18	826	1797	1793	2294	10.81%	269	18789	18.31	57	99	156	458	8	8	16	51	39	19	55.61%	3	0.61	8	44

Penguins 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	Steve Mason	527	218	223	60	0.902	3.03	30372	42	16	1535	15706	2215	20	13	0.754	228
2	Connor Hellebuyck	446	215	179	48	0.897	3.23	26303	40	8	1414	13790	0	21	1	0.705	176
3	Miikka Kiprusoff	161	89	59	12	0.909	2.60	9640	21	9	417	4571	0	2	3	0.854	82
4	Brian Boucher	91	51	31	6	0.909	2.63	5361	2	6	235	2588	1112	7	0	0.733	30
5	Igor Shesterkin	71	47	20	4	0.895	2.94	4221	4	2	207	1980	0	1	1	0.760	25

Penguins 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	27	0	5	2	4	3	267	221	46	41	23	13	0	1	1	2	1	133	107	26	41	18	14	0	4	1	2	2	134	114	20	94	267	404	671	0	6	0	73	94	91	2399	0	700	874	804	2381	804	905	1798	261	54	20.69%	238	26	89.08%	11	998	1852	53.89%	1033	1923	53.72%	723	1348	53.64%	1755	978	1831	835	1540	784
2018	82	26	38	0	7	1	3	7	209	238	-29	41	15	16	0	3	0	2	5	109	110	-1	41	11	22	0	4	1	1	2	100	128	-28	67	209	323	532	0	1	0	61	75	63	2267	0	742	756	747	2483	823	889	1628	207	40	19.32%	183	28	84.70%	7	899	1761	51.05%	951	1903	49.97%	654	1283	50.97%	1703	926	1706	749	1571	811
2019	82	26	32	0	3	5	8	8	208	228	-20	41	17	11	0	2	2	6	3	120	106	14	41	9	21	0	1	3	2	5	88	122	-34	63	208	325	533	1	1	0	41	74	82	1977	0	460	732	756	2444	853	851	1496	208	50	24.04%	208	47	77.40%	6	838	1678	49.94%	898	1967	45.65%	533	1077	49.49%	1609	810	1736	784	1666	860
2020	82	29	32	0	6	4	7	4	224	228	-4	41	18	14	0	2	1	4	2	125	108	17	41	11	18	0	4	3	3	2	99	120	-21	74	224	360	584	6	2	0	60	71	80	2253	0	694	740	769	2415	834	700	1691	223	31	13.90%	207	37	82.13%	4	933	1850	50.43%	899	1923	46.75%	597	1178	50.68%	1747	969	1676	764	1570	800
2021	82	32	34	0	3	2	5	6	235	236	-1	41	15	20	0	2	0	2	2	115	117	-2	41	17	14	0	1	2	3	4	120	119	1	72	235	404	639	1	3	0	94	56	77	2372	0	801	780	759	2376	694	825	1663	435	67	15.40%	312	62	80.13%	3	1548	2968	52.16%	1526	2913	52.39%	662	1250	52.96%	2073	1475	1895	602	1018	513
2022	82	35	28	0	4	4	6	5	262	225	37	41	15	16	0	2	1	3	4	135	115	20	41	20	12	0	2	3	3	1	127	110	17	82	262	459	721	2	6	0	90	91	71	2500	0	799	830	840	2377	679	792	1619	433	69	15.94%	307	58	81.11%	3	1545	2993	51.62%	1364	2795	48.80%	642	1261	50.91%	2082	1465	1884	597	1032	526
2023	82	26	40	0	1	5	2	8	229	289	-60	41	13	22	0	0	2	1	3	121	150	-29	41	13	18	0	1	3	1	5	108	139	-31	59	229	409	638	4	5	0	71	85	70	2416	0	796	819	776	2520	759	935	1738	452	78	17.26%	379	102	73.09%	0	1539	2914	52.81%	1428	2899	49.26%	674	1305	51.65%	2016	1402	1935	609	1028	516
2024	82	32	32	0	5	5	6	2	256	257	-1	41	17	16	0	2	0	4	2	125	119	6	41	15	16	0	3	5	2	0	131	138	-7	93	256	451	707	2	3	0	101	73	71	2470	0	819	791	838	2654	785	859	1760	418	79	18.90%	373	84	77.48%	2	1477	2982	49.53%	1549	3130	49.49%	663	1316	50.38%	1994	1387	1959	612	1029	515
2025	82	25	38	0	3	2	5	9	222	253	-31	41	16	19	0	1	1	1	3	117	120	-3	41	9	19	0	2	1	4	6	105	133	-28	77	222	383	605	0	3	0	82	67	65	2207	0	746	684	747	2418	756	826	1781	455	86	18.90%	363	66	81.82%	4	1432	2798	51.18%	1466	2933	49.98%	649	1269	51.14%	2025	1397	1925	629	1048	525
2026	82	24	43	0	2	3	2	8	252	306	-54	41	12	22	0	0	2	1	4	124	153	-29	41	12	21	0	2	1	1	4	128	153	-25	67	252	440	692	2	2	0	92	68	88	2506	0	852	753	875	2650	713	845	1677	444	79	17.79%	375	90	76.00%	1	1510	2987	50.55%	1491	3043	49.00%	663	1362	48.68%	1974	1364	1973	623	1038	512
2027	82	25	46	0	2	4	2	3	237	287	-50	41	10	23	0	2	2	1	3	114	141	-27	41	15	23	0	0	2	1	0	123	146	-23	65	237	405	642	0	2	0	91	79	63	2332	0	715	808	800	2736	775	936	1673	418	62	14.83%	395	89	77.47%	3	1421	2764	51.41%	1457	3113	46.80%	648	1266	51.18%	1870	1287	2078	619	1008	490
2030	82	31	38	0	3	1	5	4	253	289	-36	41	18	17	0	2	0	2	2	129	134	-5	41	13	21	0	1	1	3	2	124	155	-31	83	253	441	694	0	5	0	106	67	72	2574	0	811	867	868	2755	753	983	1867	390	79	20.26%	420	94	77.62%	4	1484	3015	49.22%	1494	3152	47.40%	651	1322	49.24%	1920	1305	2018	631	1039	506
2031	82	29	38	0	4	3	3	5	252	272	-20	41	18	17	0	3	3	0	0	131	133	-2	41	11	21	0	1	0	3	5	121	139	-18	80	252	445	697	5	3	0	84	90	71	2668	0	886	861	892	2577	717	921	1818	399	77	19.30%	382	70	81.68%	4	1514	3046	49.70%	1399	3005	46.56%	635	1298	48.92%	1890	1281	2057	621	1033	510
2032	82	40	26	0	4	2	5	5	275	242	33	41	20	14	0	2	2	1	2	134	122	12	41	20	12	0	2	0	4	3	141	120	21	105	275	472	747	1	1	0	116	80	70	2648	0	910	829	875	2620	741	1013	1862	400	74	18.50%	405	71	82.47%	4	1581	3078	51.36%	1575	3178	49.56%	650	1318	49.32%	1907	1304	2041	622	1035	502
2033	82	27	36	0	2	7	4	6	263	305	-42	41	12	19	0	1	6	1	2	123	147	-24	41	15	17	0	1	1	3	4	140	158	-18	79	263	450	713	0	0	0	93	86	78	2657	0	824	865	930	2752	777	1062	1959	398	75	18.84%	465	90	80.65%	4	1527	3066	49.80%	1446	3092	46.77%	663	1338	49.55%	1933	1318	2019	622	1041	507
2034	82	37	29	0	2	5	5	4	297	263	34	41	19	13	0	2	3	2	2	153	133	20	41	18	16	0	0	2	3	2	144	130	14	97	297	499	796	0	1	0	93	97	100	2758	0	892	918	906	2694	812	1053	1917	417	73	17.51%	431	79	81.67%	3	1555	3111	49.98%	1470	3161	46.50%	665	1357	49.01%	1920	1314	2021	617	1031	509
2035	82	37	28	0	2	5	5	5	287	257	30	41	22	11	0	2	2	2	2	157	115	42	41	15	17	0	0	3	3	3	130	142	-12	98	287	504	791	0	1	0	101	92	87	2574	0	806	885	843	2712	812	996	1770	366	88	24.04%	413	70	83.05%	11	1558	2897	53.78%	1572	3126	50.29%	682	1332	51.20%	1913	1307	2037	616	1037	511
2036	82	29	45	0	2	2	2	2	256	304	-48	41	15	19	0	1	2	2	2	130	147	-17	41	14	26	0	1	0	0	0	126	157	-31	70	256	446	702	0	1	0	95	84	73	2527	0	856	827	821	2567	757	937	1759	428	61	14.25%	414	88	78.74%	6	1560	2902	53.76%	1511	2970	50.88%	698	1346	51.86%	1998	1395	1926	599	1022	507
2037	82	40	30	0	4	1	6	1	300	250	50	41	21	14	0	2	0	3	1	153	115	38	41	19	16	0	2	1	3	0	147	135	12	102	300	515	815	0	3	109	104	77	14	2605	826	922	823	66	2591	791	1027	1797	397	67	16.88%	427	79	81.50%	3	1586	2957	53.64%	1520	2988	50.87%	699	1295	53.98%	2022	1412	1925	598	1013	501
2038	82	34	38	0	1	3	3	3	261	255	6	41	16	19	0	1	1	2	2	134	131	3	41	18	19	0	0	2	1	1	127	124	3	82	261	472	733	0	3	105	81	71	9	2380	776	761	821	50	2420	701	1054	1780	412	74	17.96%	447	83	81.43%	6	1460	2801	52.12%	1487	2875	51.72%	671	1287	52.14%	2064	1445	1869	598	1022	517
2039	82	28	41	0	5	5	2	1	258	289	-31	41	19	16	0	3	2	1	0	143	129	14	41	9	25	0	2	3	1	1	115	160	-45	76	258	437	695	3	4	93	67	91	9	2503	840	791	852	27	2800	779	1012	1791	380	74	19.47%	429	80	81.35%	11	1466	2931	50.02%	1485	3084	48.15%	660	1317	50.11%	1874	1275	2047	621	1029	503
Total Saison régulière	1722	653	739	0	70	71	90	99	5303	5494	-191	861	351	351	0	36	33	43	47	2725	2652	73	861	302	388	0	34	38	47	52	2578	2842	-264	1685	5303	9044	14347	27	56	307	1796	1668	1404	51593	2442	16583	17115	14989	53942	16115	19421	36844	7941	1437	18.10%	7573	1493	80.29%	100	29431	57351	51.32%	29021	59173	49.04%	13782	27125	50.81%	40301	26824	40568	13577	23858	11935
Séries éliminatoires
2017	16	9	7	0	0	0	0	0	39	42	-3	9	5	4	0	0	0	0	0	23	23	0	7	4	3	0	0	0	0	0	16	19	-3	18	39	63	102	0	0	0	7	9	19	403	0	112	145	135	462	156	136	287	58	7	12.07%	37	5	86.49%	0	178	359	49.58%	200	364	54.95%	120	240	50.00%	328	171	2161	988	318	165
2020	14	7	7	0	0	0	0	0	36	30	6	6	4	2	0	0	0	0	0	21	14	7	8	3	5	0	0	0	0	0	15	16	-1	14	36	57	93	0	1	0	12	13	11	305	0	84	113	106	344	106	92	296	28	8	28.57%	26	8	69.23%	0	138	267	51.69%	128	291	43.99%	88	168	52.38%	276	135	264	136	307	155
2021	10	6	4	0	0	0	0	0	26	23	3	5	3	2	0	0	0	0	0	13	11	2	5	3	2	0	0	0	0	0	13	12	1	12	26	44	70	1	1	0	7	13	5	264	0	102	90	70	314	74	108	177	57	9	15.79%	31	6	80.65%	0	160	346	46.24%	204	377	54.11%	64	135	47.41%	237	165	245	72	120	58
2022	10	5	5	0	0	0	0	0	32	31	1	5	4	1	0	0	0	0	0	17	11	6	5	1	4	0	0	0	0	0	15	20	-5	10	32	55	87	0	0	0	11	11	9	313	0	115	101	93	316	86	71	171	48	11	22.92%	32	8	75.00%	0	181	374	48.40%	198	370	53.51%	72	153	47.06%	250	176	234	74	122	62
2024	7	3	4	0	0	0	0	0	17	23	-6	3	1	2	0	0	0	0	0	7	10	-3	4	2	2	0	0	0	0	0	10	13	-3	6	17	28	45	0	0	0	6	5	6	181	0	55	56	70	237	61	70	137	27	3	11.11%	27	7	74.07%	0	136	234	58.12%	117	254	46.06%	55	116	47.41%	149	101	186	52	84	40
2032	19	11	8	0	0	0	0	0	56	53	3	9	7	2	0	0	0	0	0	28	21	7	10	4	6	0	0	0	0	0	28	32	-4	22	56	99	155	0	3	0	15	21	20	554	0	174	179	200	561	167	179	371	86	14	16.28%	83	11	86.75%	0	338	649	52.08%	337	708	47.60%	137	288	47.57%	406	273	505	145	236	110
2034	7	3	4	0	0	0	0	0	20	28	-8	4	1	3	0	0	0	0	0	9	15	-6	3	2	1	0	0	0	0	0	11	13	-2	6	20	37	57	0	0	0	6	5	8	236	0	85	75	73	252	70	102	140	35	9	25.71%	32	3	90.63%	0	120	262	45.80%	130	285	45.61%	51	115	44.35%	157	107	174	55	88	42
2035	6	2	4	0	0	0	0	0	16	22	-6	3	2	1	0	0	0	0	0	9	9	0	3	0	3	0	0	0	0	0	7	13	-6	4	16	31	47	0	1	0	7	6	3	210	0	74	71	54	206	53	98	126	28	6	21.43%	35	5	85.71%	0	169	265	63.77%	130	224	58.04%	65	105	61.90%	158	110	149	46	78	39
Total Séries éliminatoires	89	46	43	0	0	0	0	0	242	252	-10	44	27	17	0	0	0	0	0	127	114	13	45	19	26	0	0	0	0	0	115	138	-23	92	242	414	656	1	6	0	71	83	81	2466	0	801	830	801	2692	773	856	1705	367	67	18.26%	303	53	82.51%	0	1420	2756	51.52%	1444	2873	50.26%	652	1320	49.39%	1964	1242	3921	1572	1357	675

Penguins 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	PKS	GW	GT	FO%	HT	P/20
1	Alexander Seluyanov	288	39	63	102	-27	136	287	384	403	9.68%	156	4783	16.61	7	12	19	37	10	9	5	51.71%	0	0.43
2	Loui Eriksson	62	17	26	43	6	6	50	96	200	8.50%	23	1289	20.80	6	8	14	48	9	2	0	29.31%	0	0.67
3	Henrick Sedin	41	11	29	40	3	32	70	113	115	9.57%	6	924	22.55	4	6	10	18	2	5	1	52.51%	1	0.87
4	Daniel Sedin	41	20	19	39	2	14	47	63	138	14.49%	8	915	22.34	3	5	8	27	0	3	0	33.91%	0	0.85
5	Steven Stamkos	32	11	23	34	-4	10	25	95	110	10.00%	6	720	22.53	2	9	11	31	2	3	2	56.59%	0	0.94

Penguins 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	Connor Hellebuyck	32	16	13	3	0.898	3.15	1889	10	4	99	974	0	1	0
2	Miikka Kiprusoff	20	11	8	1	0.916	2.63	1210	0	1	53	629	0	3	1
3	Michael Leighton	17	9	7	0	0.909	2.59	975	0	0	42	462	189	0	0
4	Steve Mason	15	7	4	3	0.914	2.13	875	2	1	31	359	140	3	0
5	Konstantin Barulin	7	3	4	0	0.901	3.39	389	15	0	22	222	0	0	0