Penguins
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Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension

Centre de jeu
	Penguins 42-28-10, 94pts	2	FINAL	5	Rangers 33-38-9, 75pts

Team Stats
W1	Streak	OTW1
25-12-3	Home Record	18-17-5
17-16-7	Away Record	15-21-4
6-4-0	Last 10 Games	6-4-0
3.55	Buts par match	3.43
3.19	Buts contre par match	3.69
17.47%	Pourcentage en avantage numérique	21.17%
83.24%	Pourcentage en désavantage numérique	76.49%

Senateurs
34-41-5, 73pts

FINAL

Penguins
42-28-10, 94pts

Team Stats
L1	Streak	W1
18-20-2	Home Record	25-12-3
16-21-3	Away Record	17-16-7
3-5-2	Last 10 Games	6-4-0
3.33	Buts par match	3.55
3.68	Buts contre par match	3.19
17.80%	Pourcentage en avantage numérique	17.47%
78.61%	Pourcentage en désavantage numérique	83.24%

Meneurs d'équipe
	Buts Marcus Johansson 37	Passes Anze Kopitar 64

	Points Anze Kopitar 87	Plus/Moins Marcus Johansson 25

	Victoires Andrei Vasilevskiy 25	Pourcentage d’arrêts Jonathan Quick 0.906

Statistiques d’équipe
Buts pour 284 3.55 GFG	Tirs pour 2443 30.54 Avg	Pourcentage en avantage numérique 17.5% 65 GF	Début de zone offensive 37.6%
Buts contre 255 3.19 GAA	Tirs contre 2356 29.45 Avg	Pourcentage en désavantage numérique 83.2%% 58 GA	Début de la zone défensive 38.1%

Informations de l'équipe
	Directeur général	Sylvain Leblanc
	Entraîneur	Pat Burns
	Division	Ziegler
	Conférence	Clarence Campbell
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	PPG Paint Arena
	Capacité	18,000
	Assistance	17,410
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	22
	Équipe Mineure	30
	Limite contact	52 / 250
	Espoirs	0
Plafond salarial
	Cap Salarial de la Saison estimé	60,036,262$
	Plafond salarial disponible	25,977,488$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	22
Finance
	Revenu annuel à ce jour	56,509,231$
	Dépenses annuelles à ce jour	62,201,670$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	23,013,750$
	Compte bancaire projeté	23,013,750$

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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	Anze Kopitar	X				100.00	73	52	74	78	84	85	80	87	74	82	77	76	77	86	83	26	44	79	1	30	3	6,000,000$
2	Derek Stepan	X				100.00	80	31	83	82	79	85	85	89	83	87	81	66	74	70	58	34	64	79	1	27	1	5,250,000$
3	Brendan Gallagher			X		100.00	84	44	79	85	90	69	85	78	69	85	82	71	73	69	53	43	56	78	1	25	1	4,000,000$
4	Marcus Johansson		X			100.00	75	33	81	79	80	87	82	80	77	80	81	67	77	74	67	33	50	77	1	27	1	3,250,000$
5	Cal Clutterbuck			X		100.00	84	38	75	83	83	76	76	74	70	82	77	79	68	72	64	21	64	76	0	30	2	1,750,000$
6	Marcus Foligno			X		100.00	79	42	77	79	83	77	79	79	75	80	82	75	71	61	55	33	48	76	0	26	1	2,000,000$
7	Max Reinhart	X				100.00	70	20	94	74	80	85	83	78	76	80	77	77	75	70	52	37	47	76	0	25	2	2,500,000$
8	Timo Meier (R)		X			100.00	77	39	84	68	87	73	70	76	72	76	92	61	70	56	48	62	29	74	0	21	4	2,100,000$
9	JT Compher (R)			X		100.00	70	28	87	77	79	75	80	80	67	73	82	65	73	56	47	54	43	73	0	22	1	1,200,000$
10	Pavel Zacha (R)		X			100.00	71	27	84	68	81	72	72	75	76	77	87	61	70	51	45	70	44	72	0	20	1	950,000$
11	Sebastian Aho (R)	X				100.00	62	33	82	82	66	79	66	80	73	73	77	62	91	56	49	66	48	72	0	20	3	995,000$
12	Brandon Tanev		X			100.00	81	45	71	82	87	57	85	75	56	74	75	72	60	57	54	41	49	72	0	26	3	1,000,000$
13	Danny DeKeiser				X	100.00	82	27	83	81	82	83	83	83	61	81	68	86	65	77	61	31	69	80	1	27	1	3,000,000$
14	Keith Aulie				X	100.00	82	36	73	81	80	84	77	83	59	83	75	83	67	82	54	24	61	79	1	28	2	3,750,000$
15	Oscar Klefbom				X	100.00	74	29	88	85	80	82	86	87	55	88	76	78	61	71	48	43	64	79	1	24	1	3,000,000$
16	Justin Schultz				X	100.00	82	42	81	81	81	79	80	83	67	84	70	77	73	71	52	36	64	78	1	27	1	3,500,000$
17	Nick Leddy				X	100.00	78	28	86	80	80	84	84	79	61	80	80	75	73	74	50	39	64	77	1	26	1	3,000,000$
18	Ben Lovejoy				X	100.00	82	39	84	76	72	73	78	74	60	78	69	79	71	89	74	14	35	76	1	33	1	1,950,000$
Rayé
1	Paul Stastny		X			100.00	72	48	79	73	68	74	73	76	74	83	75	66	73	82	76	18	45	74	0	32	1	800,000$
2	Vladimir Mihalik				X	100.00	80	49	73	82	77	80	69	70	59	79	74	78	64	68	57	22	38	75	0	30	1	1,800,000$
Équipe Mineure
1	Andy Andreoff		X			100.00	92	70	74	74	89	66	88	70	68	71	69	67	74	70	61	38	41	72	0	26	1	900,000$
2	Matthew Tkachuk (R)			X		100.00	88	50	73	74	89	58	84	75	55	71	72	67	62	48	45	67	71	70	0	20	1	500,000$
3	Victor Olofsson (R)			X		100.00	60	28	81	75	76	77	71	77	68	64	77	61	74	50	46	59	29	69	0	21	1	650,000$
4	Evan Rodrigues (R)	X				100.00	65	53	79	70	74	78	76	70	65	72	71	65	75	51	49	51	63	69	0	24	4	900,000$
5	Iven Barbashev (R)		X			100.00	67	41	73	76	73	70	70	70	68	75	69	62	75	46	44	51	63	68	0	21	3	600,000$
6	Max Gortz (R)			X		100.00	57	33	83	67	63	63	64	70	65	67	73	53	72	51	49	37	62	65	0	24	2	625,000$
7	Sam Kurker (R)			X		100.00	70	43	64	66	75	63	79	70	63	66	69	53	57	45	45	36	62	64	0	23	2	575,000$
8	Adam Brooks (R)	X				100.00	69	35	73	55	78	60	62	66	69	72	77	46	65	44	45	58	62	64	0	21	1	500,000$
9	Eetu Luostarinen (R)	X				100.00	53	31	91	66	63	80	73	52	64	67	54	70	51	43	41	75	62	63	0	19	2	500,000$
10	Denis Malgin (R)	X				100.00	70	38	71	65	61	68	69	69	69	62	65	54	71	43	44	61	31	63	0	20	4	500,000$
11	Juuso Ikonen (R)		X			100.00	54	29	75	67	63	59	59	71	60	62	66	62	64	44	46	43	22	62	0	22	2	500,000$
12	Jeff Malott (R)		X			100.00	67	37	65	55	74	59	54	60	64	70	81	40	64	47	45	60	62	62	0	21	2	500,000$
13	Andrew O'Brien				X	100.00	77	59	80	69	75	65	75	62	53	72	64	75	59	64	53	37	40	71	0	25	1	800,000$
14	Brett Kulak (R)				X	100.00	75	33	76	75	73	76	70	67	61	69	67	79	66	60	49	41	24	71	0	23	2	900,000$
15	Gavin Bayreuther (R)				X	100.00	57	38	73	81	63	63	66	85	32	87	60	65	40	53	50	56	52	68	0	23	1	500,000$
16	Danny Biega				X	100.00	65	36	80	61	68	73	65	63	43	71	57	76	45	61	56	26	29	67	0	26	1	650,000$
17	John Marino (R)				X	100.00	70	44	79	68	64	70	70	70	54	74	59	65	53	43	44	58	62	66	0	20	4	700,000$
18	Matthew Finn (R)				X	100.00	58	28	76	69	63	62	62	70	39	71	48	70	49	45	45	33	35	64	0	23	2	550,000$
19	Curtis Hamilton		X			100.00	59	26	81	64	67	72	65	67	61	69	72	50	65	55	56	30	20	64	0	26	1	600,000$
20	Raphael Bussieres (R)		X			100.00	65	40	72	64	71	62	63	63	58	65	70	56	66	46	47	33	19	63	0	24	1	575,000$
21	Jesper Boqvist (R)	X				100.00	60	35	71	51	75	62	58	71	58	57	78	37	57	43	42	63	19	60	0	19	2	500,000$
22	Josh Ho-Sang (R)			X		100.00	56	36	69	63	64	65	66	66	53	59	67	35	58	43	43	47	20	58	0	21	3	500,000$
23	Brett Pollock (R)		X			100.00	56	30	70	61	58	63	56	56	56	63	49	62	50	43	43	49	19	57	0	21	2	500,000$
24	Steven Spinner (R)			X		100.00	64	56	59	53	68	57	71	53	55	54	60	38	48	43	43	45	20	55	0	21	2	500,000$
25	German Rubtsov (R)	X				100.00	50	39	74	50	54	55	49	60	52	56	59	39	49	41	41	65	20	53	0	19	1	500,000$
26	Dakota Mermis (R)				X	95.98	68	37	82	79	69	68	68	67	52	69	69	69	67	57	50	48	30	69	0	23	2	900,000$
27	Austin Strand (R)				X	100.00	57	31	65	57	63	56	66	66	33	59	45	59	49	43	45	57	18	58	0	20	2	500,000$

	MOYENNE D’ÉQUIPE					99.91	70	38	77	71	74	71	72	72	62	73	71	64	65	58	51	44	44	69

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Jonathan Quick	100.00	78	80	78	78	83	79	84	83	85	78	77	85	91	22	37	82	2	31	1	5,000,000$
2	Andrei Vasilevskiy	100.00	70	92	69	74	77	75	78	92	82	77	71	54	49	45	64	77	0	23	2	2,500,000$
Rayé
Équipe Mineure
1	Jeremy Swayman (R)	100.00	49	79	61	68	63	69	74	82	78	63	50	43	41	82	62	68	0	19	2	500,000$
2	Anthony Stolarz	100.00	73	70	78	57	63	71	71	65	54	76	62	46	49	41	31	65	0	23	1	800,000$
3	Cal Petersen	100.00	60	64	66	57	60	77	78	53	52	84	70	46	47	44	19	64	0	23	3	600,000$

	MOYENNE D’ÉQUIPE	100.00	66	77	70	67	69	74	77	75	70	76	66	55	55	47	43	71

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Pat Burns	79	89	88	76	99	99	46	CAN	61	1	2,000,000$

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	S1	S2	S3
1	Anze Kopitar	Penguins	C	74	23	64	87	-2	105	5	154	164	265	86	173	8.68%	41	1692	22.87	3	21	24	43	262	0	2	2	6	259	5	0	48.68%	2391	55	21	0	0	1.03	0	6	1	7	6	3
2	Marcus Johansson	Penguins	LW	79	37	39	76	25	46	0	82	84	212	68	120	17.45%	26	1479	18.73	12	14	26	39	252	1	0	1	6	88	5	2	53.40%	103	24	17	0	1	1.03	0	0	0	4	4	6
3	Derek Stepan	Penguins	C	80	29	43	72	9	22	0	138	120	224	57	130	12.95%	28	1405	17.56	8	10	18	24	267	1	2	3	2	117	5	1	53.72%	927	29	19	0	1	1.02	4	10	0	1	5	8
4	Brendan Gallagher	Penguins	RW	77	31	35	66	-16	34	0	104	85	233	62	146	13.30%	31	1383	17.97	14	10	24	53	269	0	0	0	0	39	4	3	46.48%	71	57	19	0	0	0.95	4	6	0	5	4	4
5	Marcus Foligno	Penguins	RW	78	27	28	55	20	66	0	122	95	173	58	119	15.61%	31	1359	17.43	4	5	9	17	235	0	0	0	1	90	2	3	48.08%	52	38	18	0	0	0.81	0	1	0	4	1	4
6	Keith Aulie	Penguins	D	78	7	34	41	9	98	0	114	148	124	47	50	5.65%	105	1969	25.25	2	7	9	15	283	1	1	2	3	255	2	0	0.00%	0	32	52	0	0	0.42	0	1	0	0	3	2
7	Danny DeKeiser	Penguins	D	76	5	34	39	5	30	0	89	128	103	42	41	4.85%	88	1855	24.42	3	7	10	12	244	0	1	1	3	237	0	0	0.00%	0	27	62	0	0	0.42	0	0	0	0	2	0
8	Cal Clutterbuck	Penguins	RW	80	16	22	38	6	42	0	101	69	146	52	89	10.96%	32	1105	13.81	0	3	3	2	35	2	2	4	8	277	3	0	37.50%	64	22	14	1	0	0.69	0	0	0	2	2	1
9	Oscar Klefbom	Penguins	D	80	6	22	28	14	18	0	76	123	126	50	49	4.76%	80	1675	20.94	2	3	5	17	249	0	0	0	1	130	1	0	0.00%	0	30	54	0	0	0.33	0	0	0	1	1	2
10	Justin Schultz	Penguins	D	80	6	19	25	10	48	0	82	107	68	27	43	8.82%	73	1573	19.67	3	2	5	5	161	0	1	1	4	228	2	0	0.00%	0	22	47	0	0	0.32	0	0	0	0	1	0
11	JT Compher	Penguins	RW	75	10	11	21	7	12	0	50	32	86	16	58	11.63%	9	691	9.22	0	0	0	0	20	0	0	0	2	0	0	1	47.83%	23	11	4	0	0	0.61	1	1	0	1	0	1
12	Timo Meier	Penguins	LW	66	10	10	20	-4	36	0	86	56	90	21	65	11.11%	11	1053	15.96	1	2	3	14	200	0	0	0	0	17	1	1	41.86%	86	19	15	0	0	0.38	0	0	0	1	0	4
13	Nick Leddy	Penguins	D	80	4	15	19	4	18	0	60	82	67	29	28	5.97%	59	1160	14.51	2	3	5	9	161	0	0	0	0	33	0	0	0.00%	0	20	29	0	0	0.33	0	0	0	1	0	2
14	Brandon Tanev	Penguins	LW	71	10	9	19	-3	57	5	66	37	69	25	47	14.49%	15	703	9.91	0	0	0	0	0	0	0	0	1	31	2	1	40.00%	25	13	11	0	0	0.54	0	0	0	0	0	2
15	Sebastian Aho	Penguins	C	58	8	10	18	5	14	0	26	42	79	32	48	10.13%	11	564	9.72	0	0	0	0	7	0	0	0	0	11	0	1	44.57%	368	17	6	0	0	0.64	0	0	0	1	1	1
16	Pavel Zacha	Penguins	LW	51	8	9	17	16	4	0	34	19	37	14	29	21.62%	8	454	8.91	0	0	0	0	5	0	0	0	0	4	0	1	56.25%	32	8	6	0	0	0.75	0	1	0	0	2	1
17	Paul Stastny	Penguins	LW	61	7	9	16	-3	36	0	57	39	102	27	56	6.86%	8	696	11.42	0	0	0	0	30	0	0	0	1	13	1	1	51.85%	27	14	11	0	0	0.46	0	0	0	0	2	1
18	Vladimir Mihalik	Penguins	D	58	0	15	15	5	44	0	73	78	62	26	18	0.00%	60	1145	19.75	0	2	2	11	128	0	0	0	1	120	0	0	0.00%	0	17	34	0	0	0.26	0	0	0	0	1	1
19	Ben Lovejoy	Penguins	D	74	2	10	12	-2	18	0	42	74	40	18	14	5.00%	53	973	13.16	1	1	2	2	31	0	0	0	0	73	0	0	0.00%	0	7	34	0	0	0.25	0	0	0	0	1	0
20	Max Reinhart	Penguins	C	60	6	5	11	-1	2	0	45	68	89	21	54	6.74%	13	704	11.75	1	0	1	1	24	0	0	0	3	49	1	0	50.60%	334	12	8	0	0	0.31	0	0	0	0	0	0
21	Andy Andreoff	Penguins (Pit)	LW	6	0	0	0	0	6	0	4	1	2	2	1	0.00%	1	48	8.10	0	0	0	0	0	0	0	0	0	7	0	0	0.00%	0	0	1	0	0	0.00%	0	0	0	0	0	0
22	Victor Olofsson	Penguins (Pit)	RW	6	0	0	0	-1	4	0	6	4	9	1	4	0.00%	0	77	12.97	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	4	1	1	0	0	0.00%	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1448	252	443	695	103	760	10	1611	1655	2406	781	1382	10.47%	783	23775	16.42	56	90	146	264	2870	5	9	14	42	2087	34	15	49.32%	4507	475	483	1	2	0.58	9	26	1	28	36	43

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Andrei Vasilevskiy	Penguins	53	25	19	7	0.892	3.15	3064	2	0	161	1497	727	3	0	0.250	20	53	27	4	1	2
2	Jonathan Quick	Penguins	50	25	15	6	0.906	3.01	2852	2	3	143	1517	738	6	1	0.571	21	45	30	4	3	2
Statistiques d’équipe totales ou en moyenne			103	50	34	13	0.899	3.08	5917	4	3	304	3014	1465	9	1		41	98	57	8	4	4

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Link
Andrei Vasilevskiy	Penguins	G	23	1994-01-01	No	198 Lbs	6 ft3	No	No	No	2	Pro Only	2,500,000$	2,500,000$	0$	No	3,000,000$			Lien
Anze Kopitar	Penguins	C	30	1987-01-01	No	222 Lbs	6 ft3	No	No	No	3	Pro Only	6,000,000$	6,000,000$	0$	No	5,250,000$	4,500,000$
Ben Lovejoy	Penguins	D	33	1984-01-01	No	215 Lbs	6 ft2	No	No	No	1	Pro Only	1,950,000$	1,950,000$	0$	No
Brandon Tanev	Penguins	LW	26	1991-01-01	No	181 Lbs	6 ft0	No	No	No	3	Pro Only	1,000,000$	1,000,000$	0$	No	1,200,000$	1,500,000$		Lien
Brendan Gallagher	Penguins	RW	25	1992-01-01	No	182 Lbs	5 ft9	No	No	No	1	Pro Only	4,000,000$	4,000,000$	0$	No
Cal Clutterbuck	Penguins	RW	30	1987-01-01	No	213 Lbs	5 ft11	No	No	No	2	Pro Only	1,750,000$	1,750,000$	0$	No	1,500,000$
Danny DeKeiser	Penguins	D	27	1990-01-01	No	190 Lbs	6 ft3	No	No	No	1	Pro Only	3,000,000$	3,000,000$	0$	No
Derek Stepan	Penguins	C	27	1990-01-01	No	190 Lbs	6 ft0	No	No	No	1	Pro Only	5,250,000$	5,250,000$	0$	No
JT Compher	Penguins	RW	22	1995-01-01	Yes	185 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,200,000$	1,200,000$	0$	No				Lien
Jonathan Quick	Penguins	G	31	1986-01-01	No	223 Lbs	6 ft1	No	No	No	1	Pro Only	5,000,000$	5,000,000$	0$	No
Justin Schultz	Penguins	D	27	1990-01-01	No	163 Lbs	6 ft1	No	No	No	1	Pro Only	3,500,000$	3,500,000$	0$	No
Keith Aulie	Penguins	D	28	1989-01-01	No	217 Lbs	6 ft6	No	No	No	2	Pro Only	3,750,000$	3,750,000$	0$	No	3,750,000$
Marcus Foligno	Penguins	RW	26	1991-01-01	No	223 Lbs	6 ft3	No	No	No	1	Pro Only	2,000,000$	2,000,000$	0$	No
Marcus Johansson	Penguins	LW	27	1990-01-01	No	205 Lbs	6 ft1	No	No	No	1	Pro Only	3,250,000$	3,250,000$	0$	No
Max Reinhart	Penguins	C	25	1992-01-01	No	190 Lbs	6 ft1	No	No	No	2	Pro Only	2,500,000$	2,500,000$	0$	No	3,200,000$
Nick Leddy	Penguins	D	26	1991-01-01	No	191 Lbs	6 ft0	No	No	No	1	Pro Only	3,000,000$	3,000,000$	0$	No
Oscar Klefbom	Penguins	D	24	1993-01-01	No	215 Lbs	6 ft3	No	No	No	1	Pro Only	3,000,000$	3,000,000$	0$	No
Paul Stastny	Penguins	LW	32	1985-01-01	No	205 Lbs	6 ft0	No	No	No	1	Pro Only	800,000$	800,000$	0$	No
Pavel Zacha	Penguins	LW	20	1997-01-01	Yes	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	No				Lien
Sebastian Aho	Penguins	C	20	1997-01-01	Yes	176 Lbs	6 ft0	No	No	No	3	Pro & Farm	995,000$	995,000$	0$	No	2,000,000$	3,000,000$		Lien
Timo Meier	Penguins	LW	21	1996-01-01	Yes	210 Lbs	6 ft0	No	No	No	4	Pro Only	2,100,000$	2,100,000$	0$	No	2,700,000$	4,000,000$	4,500,000$	Lien
Vladimir Mihalik	Penguins	D	30	1987-01-01	No	244 Lbs	6 ft7	No	No	No	1	Pro Only	1,800,000$	1,800,000$	0$	No

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	26.36	202 Lbs	6 ft1	1.59	2,695,227$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
59,295,000$	22,600,000$	13,000,000$	4,500,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Timo Meier	Anze Kopitar	Marcus Foligno	40	1	2	2
2	Marcus Johansson	Derek Stepan	Brendan Gallagher	30	1	2	2
3	Brandon Tanev	Max Reinhart	Cal Clutterbuck	20	1	2	2
4	Pavel Zacha	Sebastian Aho	JT Compher	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Danny DeKeiser	Keith Aulie	40	1	2	2
2	Oscar Klefbom	Justin Schultz	30	1	2	2
3	Nick Leddy	Ben Lovejoy	20	1	2	2
4	Danny DeKeiser	Keith Aulie	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Marcus Johansson	Anze Kopitar	Brendan Gallagher	60	1	2	2
2	Timo Meier	Derek Stepan	Marcus Foligno	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Danny DeKeiser	Keith Aulie	60	1	2	2
2	Oscar Klefbom	Justin Schultz	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Anze Kopitar	Cal Clutterbuck	60	1	2	2
2	Max Reinhart	Marcus Foligno	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Danny DeKeiser	Keith Aulie	60	1	2	2
2	Oscar Klefbom	Justin Schultz	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Cal Clutterbuck	60	1	2	2	Danny DeKeiser	Keith Aulie	60	1	2	2
2	Max Reinhart	40	1	2	2	Oscar Klefbom	Justin Schultz	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Anze Kopitar	Brendan Gallagher	60	1	2	2
2	Derek Stepan	Marcus Johansson	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Danny DeKeiser	Keith Aulie	60	1	2	2
2	Oscar Klefbom	Justin Schultz	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Timo Meier	Anze Kopitar	Brendan Gallagher	Danny DeKeiser	Keith Aulie

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Brandon Tanev	Max Reinhart	Cal Clutterbuck	Danny DeKeiser	Keith Aulie

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Brendan Gallagher, Marcus Johansson, Cal Clutterbuck	Brendan Gallagher, Marcus Johansson	Anze Kopitar

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Danny DeKeiser, Justin Schultz, Ben Lovejoy	Nick Leddy	Danny DeKeiser, Justin Schultz

Tirs de pénalité
Anze Kopitar, Derek Stepan, Brendan Gallagher, Marcus Johansson, Timo Meier

Gardien
#1 : Andrei Vasilevskiy, #2 : Jonathan Quick

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
1	Avalanche	7	2	3	0	1	1	0	0	24	27	-3	3	2	1	0	0	0	0	0	11	11	0	4	0	2	0	1	1	0	0	13	16	-3	7	0.500	24	41	65	0	0	7	7	9	1	201	56	72	70	3	200	66	60	153	43	5	11.63%	30	7	76.67%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	153	83	140	66	127	66
2	Blackhawks	2	1	1	0	0	0	0	0	8	7	1	1	0	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	4	2	2	2	0.500	8	15	23	0	0	2	2	4	0	51	18	18	15	0	73	12	22	40	7	2	28.57%	12	3	75.00%	1	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	39	22	47	18	33	16
3	Blue Jackets	2	1	1	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	6	4	2	2	0.500	7	12	19	0	0	2	3	2	0	55	17	22	16	0	45	20	8	38	11	1	9.09%	4	2	50.00%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	46	26	36	17	36	20
4	Blues	3	2	1	0	0	0	0	0	10	8	2	1	1	0	0	0	0	0	0	4	1	3	2	1	1	0	0	0	0	0	6	7	-1	4	0.667	10	14	24	0	0	4	2	4	0	89	36	22	31	0	88	42	26	59	9	1	11.11%	13	1	92.31%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	62	35	66	27	51	25
5	Bruins	3	1	1	0	0	0	0	1	10	12	-2	1	0	0	0	0	0	0	1	3	4	-1	2	1	1	0	0	0	0	0	7	8	-1	3	0.500	10	20	30	0	0	3	5	2	0	76	26	32	18	3	88	26	30	60	11	1	9.09%	15	3	80.00%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	64	34	63	30	56	27
6	Canadiens	2	1	1	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	7	12	19	0	0	2	2	3	0	66	19	22	25	0	51	18	10	38	11	2	18.18%	5	0	100.00%	1	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	45	26	39	17	35	18
7	Canucks	3	0	3	0	0	0	0	0	7	12	-5	1	0	1	0	0	0	0	0	4	5	-1	2	0	2	0	0	0	0	0	3	7	-4	0	0.000	7	11	18	0	0	3	4	0	0	89	31	37	21	0	83	34	22	67	16	1	6.25%	11	4	63.64%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	67	38	57	26	54	28
8	Capitals	3	1	1	0	0	0	0	1	6	8	-2	1	0	1	0	0	0	0	0	1	3	-2	2	1	0	0	0	0	0	1	5	5	0	3	0.500	6	11	17	0	0	2	1	3	0	88	35	30	23	2	89	28	14	53	12	2	16.67%	7	1	85.71%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	66	38	64	27	53	27
9	Devils	3	2	0	0	0	0	0	1	13	9	4	1	1	0	0	0	0	0	0	4	1	3	2	1	0	0	0	0	0	1	9	8	1	5	0.833	13	22	35	0	0	3	3	7	2	89	20	30	39	3	85	28	28	58	6	1	16.67%	14	4	71.43%	1	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	65	38	67	29	52	24
10	Flames	2	2	0	0	0	0	0	0	11	6	5	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	2	2	4	1.000	11	20	31	0	0	5	3	3	0	62	22	24	16	0	65	21	20	43	10	1	10.00%	10	3	70.00%	1	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	45	25	39	17	35	18
11	Flyers	3	0	1	0	0	0	1	1	8	11	-3	2	0	1	0	0	0	1	0	5	7	-2	1	0	0	0	0	0	0	1	3	4	-1	3	0.500	8	11	19	0	0	0	5	2	4	89	21	28	39	8	101	36	24	77	13	0	0.00%	12	1	91.67%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	63	32	69	29	57	29
12	Golden Knights	4	1	1	0	0	0	0	2	15	18	-3	3	1	0	0	0	0	0	2	12	13	-1	1	0	1	0	0	0	0	0	3	5	-2	4	0.500	15	27	42	0	0	4	2	9	2	117	36	40	34	13	136	69	42	73	15	2	13.33%	21	5	76.19%	2	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	87	50	90	37	72	36
13	Islanders	3	0	2	0	1	0	0	0	11	16	-5	2	0	2	0	0	0	0	0	7	13	-6	1	0	0	0	1	0	0	0	4	3	1	2	0.333	11	17	28	0	0	3	2	5	1	105	38	34	31	2	102	22	20	55	16	4	25.00%	10	4	60.00%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	68	42	61	27	51	26
14	Jets	2	1	0	0	0	1	0	0	7	5	2	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	0	1	0	0	3	4	-1	3	0.750	7	10	17	0	0	3	3	1	0	66	20	26	17	3	62	23	12	36	9	3	33.33%	6	0	100.00%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	42	24	45	17	35	18
15	Kings	2	1	0	0	0	0	0	1	6	4	2	1	1	0	0	0	0	0	0	5	2	3	1	0	0	0	0	0	0	1	1	2	-1	3	0.750	6	8	14	0	0	1	2	3	1	52	8	26	17	4	61	19	18	38	8	3	37.50%	9	1	88.89%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	41	22	45	21	38	18
16	Lightning	7	2	5	0	0	0	0	0	22	23	-1	3	2	1	0	0	0	0	0	15	9	6	4	0	4	0	0	0	0	0	7	14	-7	4	0.286	22	36	58	0	0	7	9	6	0	216	54	84	78	0	189	54	76	145	41	5	12.20%	38	4	89.47%	1	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	152	80	143	66	124	65
17	Maple Leafs	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	10	17	0	0	3	3	1	0	65	27	21	17	0	52	13	31	40	8	2	25.00%	9	1	88.89%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	44	24	39	18	36	18
18	Oilers	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	5	8	13	0	0	3	2	0	0	60	19	27	14	0	71	24	12	48	7	1	14.29%	6	0	100.00%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	41	23	44	17	34	16
19	Panthers	6	5	0	0	1	0	0	0	24	10	14	3	3	0	0	0	0	0	0	9	5	4	3	2	0	0	1	0	0	0	15	5	10	12	1.000	24	41	65	0	1	5	9	9	1	226	72	71	82	1	146	58	73	111	40	12	30.00%	29	4	86.21%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	142	83	114	56	103	53
20	Predators	3	3	0	0	0	0	0	0	16	5	11	2	2	0	0	0	0	0	0	10	3	7	1	1	0	0	0	0	0	0	6	2	4	6	1.000	16	30	46	0	0	3	8	5	0	93	30	27	36	0	92	34	22	62	12	3	25.00%	11	2	81.82%	1	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	59	34	70	27	50	25
21	Rangers	6	4	1	0	0	0	1	0	26	20	6	3	3	0	0	0	0	0	0	12	7	5	3	1	1	0	0	0	1	0	14	13	1	10	0.833	26	41	67	0	0	7	8	10	1	182	54	62	66	3	189	49	58	140	27	3	11.11%	29	4	86.21%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	137	79	122	54	105	53
22	Red Wings	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	3	0	3	1	1	0	0	0	0	0	0	4	2	2	4	1.000	7	12	19	0	1	2	2	3	0	62	13	24	25	0	43	13	10	43	15	2	13.33%	5	0	100.00%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	42	21	38	19	39	20
23	Senateurs	3	1	2	0	0	0	0	0	12	15	-3	2	1	1	0	0	0	0	0	7	8	-1	1	0	1	0	0	0	0	0	5	7	-2	2	0.333	12	18	30	0	0	4	4	4	0	88	31	30	27	0	97	32	32	56	10	3	30.00%	16	2	87.50%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	59	33	70	27	50	24
24	Sharks	2	0	1	0	0	0	0	1	4	8	-4	1	0	1	0	0	0	0	0	2	5	-3	1	0	0	0	0	0	0	1	2	3	-1	1	0.250	4	8	12	0	0	1	2	1	0	64	18	22	22	4	56	25	18	55	5	0	0.00%	9	2	77.78%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	45	26	43	18	36	17
25	Stars	3	2	1	0	0	0	0	0	11	8	3	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	5	2	3	4	0.667	11	17	28	0	0	1	5	5	0	92	22	28	42	0	92	25	30	59	10	5	50.00%	15	0	100.00%	0	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	60	34	67	28	51	23
	Total	80	37	28	0	3	2	2	8	284	255	29	40	24	12	0	0	0	1	3	149	119	30	40	13	16	0	3	2	1	5	135	136	-1	94	0.588	284	472	756	0	2	80	98	101	13	2443	743	859	821	49	2356	791	718	1647	372	65	17.47%	346	58	83.24%	8	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	1746	985	1688	749	1423	720
	_Since Last GM Reset	80	37	28	0	3	2	2	8	284	255	29	40	24	12	0	0	0	1	3	149	119	30	40	13	16	0	3	2	1	5	135	136	-1	94	0.588	284	472	756	0	2	80	98	101	13	2443	743	859	821	49	2356	791	718	1647	372	65	17.47%	346	58	83.24%	8	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	1746	985	1688	749	1423	720
	_Vs Conference	51	22	19	0	3	1	1	5	179	171	8	24	14	7	0	0	0	0	3	88	78	10	27	8	12	0	3	1	1	2	91	93	-2	58	0.569	179	298	477	0	1	49	57	69	8	1570	480	542	535	30	1487	501	479	1033	246	42	17.07%	232	41	82.33%	4	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	1129	641	1061	479	904	458
	_Vs Division	26	13	9	0	2	1	1	0	96	80	16	12	10	2	0	0	0	0	0	47	32	15	14	3	7	0	2	1	1	0	49	48	1	33	0.635	96	159	255	0	1	26	33	34	3	825	236	289	296	7	724	227	267	549	151	25	16.56%	126	19	84.92%	1	923	1784	51.74%	876	1806	48.50%	598	1154	51.82%	585	327	521	243	461	238

			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
80	94	W1	284	472	756	2443	2356	791	718	1647	0	2

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
80	37	28	3	2	2	8	284	255

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	24	12	0	0	1	3	149	119

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	13	16	3	2	1	5	135	136

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
6	4	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
372	65	17.47%	346	58	83.24%	8

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
743	859	821	49	80	98	101	13

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
923	1784	51.74%	876	1806	48.50%	598	1154	51.82%

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
1746	985	1688	749	1423	720

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
1 - 2022-10-27	3	Avalanche	3	Penguins	4	BW				Sommaire du match
3 - 2022-10-29	15	Penguins	4	Lightning	5	AL				Sommaire du match
4 - 2022-10-30	23	Penguins	4	Avalanche	3	AW	X			Sommaire du match
7 - 2022-11-02	38	Penguins	4	Panthers	1	AW			R1	Sommaire du match
10 - 2022-11-05	49	Rangers	2	Penguins	3	BW				Sommaire du match
12 - 2022-11-07	60	Penguins	1	Lightning	3	AL				Sommaire du match
15 - 2022-11-10	76	Golden Knights	4	Penguins	3	BL	X	X		Sommaire du match
16 - 2022-11-11	80	Penguins	5	Rangers	4	AW	X	X	R1	Sommaire du match
19 - 2022-11-14	96	Lightning	4	Penguins	5	BW				Sommaire du match
20 - 2022-11-15	100	Penguins	4	Avalanche	5	AL				Sommaire du match
23 - 2022-11-18	120	Penguins	1	Canucks	4	AL				Sommaire du match
25 - 2022-11-20	129	Panthers	1	Penguins	2	BW			R1	Sommaire du match
27 - 2022-11-22	138	Penguins	5	Bruins	3	AW				Sommaire du match
29 - 2022-11-24	153	Flyers	4	Penguins	1	BL				Sommaire du match
30 - 2022-11-25	159	Penguins	4	Panthers	3	AW	X		R1	Sommaire du match
33 - 2022-11-28	176	Penguins	3	Blues	1	AW				Sommaire du match
34 - 2022-11-29	182	Stars	4	Penguins	2	BL				Sommaire du match
38 - 2022-12-03	200	Penguins	5	Devils	3	AW				Sommaire du match
39 - 2022-12-04	208	Lightning	4	Penguins	3	BL				Sommaire du match
45 - 2022-12-10	233	Maple Leafs	2	Penguins	4	BW				Sommaire du match
47 - 2022-12-12	241	Penguins	1	Lightning	3	AL				Sommaire du match
50 - 2022-12-15	257	Penguins	5	Senateurs	7	AL				Sommaire du match
51 - 2022-12-16	263	Jets	1	Penguins	4	BW				Sommaire du match
55 - 2022-12-20	283	Rangers	1	Penguins	3	BW			R1	Sommaire du match
58 - 2022-12-23	301	Penguins	1	Avalanche	3	AL				Sommaire du match
59 - 2022-12-24	309	Devils	1	Penguins	4	BW				Sommaire du match
63 - 2022-12-28	330	Penguins	4	Flames	2	AW				Sommaire du match
64 - 2022-12-29	335	Golden Knights	6	Penguins	5	BL	X	X		Sommaire du match
67 - 2023-01-01	348	Penguins	3	Golden Knights	5	AL				Sommaire du match
69 - 2023-01-03	359	Islanders	6	Penguins	4	BL				Sommaire du match
71 - 2023-01-05	374	Penguins	6	Blue Jackets	4	AW				Sommaire du match
73 - 2023-01-07	384	Penguins	2	Canucks	3	AL				Sommaire du match
74 - 2023-01-08	389	Flyers	3	Penguins	4	BW	X	X		Sommaire du match
77 - 2023-01-11	405	Penguins	1	Oilers	3	AL				Sommaire du match
79 - 2023-01-13	413	Penguins	2	Canadiens	3	AL				Sommaire du match
80 - 2023-01-14	417	Oilers	1	Penguins	4	BW				Sommaire du match
84 - 2023-01-18	441	Flames	4	Penguins	7	BW				Sommaire du match
86 - 2023-01-20	451	Penguins	3	Flyers	4	AL	X	X		Sommaire du match
88 - 2023-01-22	460	Penguins	5	Stars	2	AW				Sommaire du match
90 - 2023-01-24	468	Predators	1	Penguins	5	BW				Sommaire du match
92 - 2023-01-26	478	Penguins	2	Sharks	3	AL	X	X		Sommaire du match
94 - 2023-01-28	491	Penguins	3	Blues	6	AL				Sommaire du match
95 - 2023-01-29	498	Stars	2	Penguins	4	BW				Sommaire du match
99 - 2023-02-02	519	Lightning	1	Penguins	7	BW				Sommaire du match
101 - 2023-02-04	529	Penguins	4	Blackhawks	2	AW				Sommaire du match
104 - 2023-02-07	546	Bruins	4	Penguins	3	BL	X	X		Sommaire du match
106 - 2023-02-09	556	Penguins	4	Devils	5	AL	X	X		Sommaire du match
109 - 2023-02-12	571	Islanders	7	Penguins	3	BL				Sommaire du match
112 - 2023-02-15	588	Penguins	6	Predators	2	AW				Sommaire du match
114 - 2023-02-17	598	Rangers	4	Penguins	6	BW			R1	Sommaire du match
117 - 2023-02-20	613	Penguins	2	Capitals	3	AL	X	X		Sommaire du match
119 - 2023-02-22	624	Sharks	5	Penguins	2	BL				Sommaire du match
121 - 2023-02-24	637	Penguins	1	Kings	2	AL	X	X		Sommaire du match
124 - 2023-02-27	649	Predators	2	Penguins	5	BW				Sommaire du match
128 - 2023-03-03	673	Penguins	4	Red Wings	2	AW				Sommaire du match
129 - 2023-03-04	676	Panthers	0	Penguins	2	BW			R1	Sommaire du match
132 - 2023-03-07	699	Blackhawks	5	Penguins	4	BL				Sommaire du match
134 - 2023-03-09	707	Penguins	7	Panthers	1	AW			R1	Sommaire du match
137 - 2023-03-12	727	Golden Knights	3	Penguins	4	BW				Sommaire du match
138 - 2023-03-13	732	Penguins	2	Bruins	5	AL				Sommaire du match
141 - 2023-03-16	752	Capitals	3	Penguins	1	BL				Sommaire du match
143 - 2023-03-18	765	Penguins	4	Avalanche	5	AL	X			Sommaire du match
146 - 2023-03-21	779	Panthers	4	Penguins	5	BW			R1	Sommaire du match
148 - 2023-03-23	789	Penguins	3	Capitals	2	AW				Sommaire du match
151 - 2023-03-26	805	Avalanche	5	Penguins	2	BL				Sommaire du match
152 - 2023-03-27	811	Penguins	3	Jets	4	AL	X			Sommaire du match
157 - 2023-04-01	830	Kings	2	Penguins	5	BW				Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
161 - 2023-04-05	855	Blue Jackets	2	Penguins	1	BL				Sommaire du match
163 - 2023-04-07	861	Penguins	1	Lightning	3	AL				Sommaire du match
166 - 2023-04-10	880	Penguins	4	Islanders	3	AW	X			Sommaire du match
167 - 2023-04-11	883	Canadiens	1	Penguins	5	BW				Sommaire du match
172 - 2023-04-16	907	Avalanche	3	Penguins	5	BW				Sommaire du match
177 - 2023-04-21	930	Blues	1	Penguins	4	BW				Sommaire du match
179 - 2023-04-23	941	Penguins	3	Maple Leafs	5	AL				Sommaire du match
181 - 2023-04-25	955	Canucks	5	Penguins	4	BL				Sommaire du match
182 - 2023-04-26	958	Penguins	7	Rangers	4	AW			R1	Sommaire du match
187 - 2023-05-01	985	Red Wings	0	Penguins	3	BW				Sommaire du match
191 - 2023-05-05	1004	Senateurs	7	Penguins	5	BL				Sommaire du match
193 - 2023-05-07	1013	Penguins	2	Rangers	5	AL			R1	Sommaire du match
198 - 2023-05-12	1037	Senateurs	1	Penguins	2	BW				Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	100	60	35	25	200
Assistance	231,884	195,062	77,309	153,629	38,499
Attendance PCT	96.62%	97.53%	96.64%	96.02%	96.25%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
0	17410 - 96.72%	1,412,731$	56,509,231$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
62,201,670$	59,295,000$	45,045,000$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
297,965$	60,036,262$	923,904$	22	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	308,015$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	23,013,750$	23,013,750$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
60,036,262$	25,977,488$	86,013,750$	25,036,262$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Marcus Johansson	AGE:27	PO:33	OV:77
Timo Meier (R)	AGE:21	PO:62	OV:74
Paul Stastny	AGE:32	PO:18	OV:74
Pavel Zacha (R)	AGE:20	PO:70	OV:72
Brandon Tanev	AGE:26	PO:41	OV:72
Andy Andreoff	AGE:26	PO:38	OV:72
Iven Barbashev (R)	AGE:21	PO:51	OV:68
Curtis Hamilton	AGE:26	PO:30	OV:64
Raphael Bussieres (R)	AGE:24	PO:33	OV:63
Jeff Malott (R)	AGE:21	PO:60	OV:62
Juuso Ikonen (R)	AGE:22	PO:43	OV:62
Brett Pollock (R)	AGE:21	PO:49	OV:57

Derek Stepan	AGE:27	PO:34	OV:79
Anze Kopitar	AGE:30	PO:26	OV:79
Max Reinhart	AGE:25	PO:37	OV:76
Sebastian Aho (R)	AGE:20	PO:66	OV:72
Evan Rodrigues (R)	AGE:24	PO:51	OV:69
Adam Brooks (R)	AGE:21	PO:58	OV:64
Eetu Luostarinen (R)	AGE:19	PO:75	OV:63
Denis Malgin (R)	AGE:20	PO:61	OV:63
Jesper Boqvist (R)	AGE:19	PO:63	OV:60
German Rubtsov (R)	AGE:19	PO:65	OV:53

Brendan Gallagher	AGE:25	PO:43	OV:78
Marcus Foligno	AGE:26	PO:33	OV:76
Cal Clutterbuck	AGE:30	PO:21	OV:76
JT Compher (R)	AGE:22	PO:54	OV:73
Matthew Tkachuk (R)	AGE:20	PO:67	OV:70
Victor Olofsson (R)	AGE:21	PO:59	OV:69
Max Gortz (R)	AGE:24	PO:37	OV:65
Sam Kurker (R)	AGE:23	PO:36	OV:64
Josh Ho-Sang (R)	AGE:21	PO:47	OV:58
Steven Spinner (R)	AGE:21	PO:45	OV:55

Défense #1

Défense #2

Gardien

Danny DeKeiser	AGE:27	PO:31	OV:80
Oscar Klefbom	AGE:24	PO:43	OV:79
Keith Aulie	AGE:28	PO:24	OV:79
Justin Schultz	AGE:27	PO:36	OV:78
Nick Leddy	AGE:26	PO:39	OV:77
Ben Lovejoy	AGE:33	PO:14	OV:76
Vladimir Mihalik	AGE:30	PO:22	OV:75
Brett Kulak (R)	AGE:23	PO:41	OV:71

Andrew O'Brien	AGE:25	PO:37	OV:71
Dakota Mermis (R)	AGE:23	PO:48	OV:69
Gavin Bayreuther (R)	AGE:23	PO:56	OV:68
Danny Biega	AGE:26	PO:26	OV:67
John Marino (R)	AGE:20	PO:58	OV:66
Matthew Finn (R)	AGE:23	PO:33	OV:64
Austin Strand (R)	AGE:20	PO:57	OV:58

Jonathan Quick	AGE:31	PO:22	OV:82
Andrei Vasilevskiy	AGE:23	PO:45	OV:77
Jeremy Swayman (R)	AGE:19	PO:82	OV:68
Anthony Stolarz	AGE:23	PO:41	OV:65
Cal Petersen	AGE:23	PO:44	OV:64

Espoirs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Information	Lien

Choix au repêchage

Année	R1	R2	R3	R4	R5
3
4
5
6
7

Penguins Historique de transactions

[2023-04-16 9:33:37 AM] - TRADE : From Golden Knights to Penguins : Max Reinhart (76), Paul Stastny (74), Vladimir Mihalik (75), Y:5-RND:2-Veg.
[2023-04-16 9:33:37 AM] - TRADE : From Penguins to Golden Knights : Jamie Benn (76), Tomas Nosek (71).
[2023-04-02 8:44:16 PM] - TRADE : From Penguins to Panthers : Anthony Beauvillier (68), Thomas Vanek (74), Y:3-RND:1-N.J.
[2023-04-02 8:44:16 PM] - TRADE : From Panthers to Penguins : Timo Meier (74).
[2023-03-26 7:57:33 PM] - New Record for Team's Most Shots Blocked (26) in 1 Game for Penguins!
[2023-03-23 7:09:15 PM] - New Record for Team's Most Penalties Minutes (25) in 1 Game for Penguins!
[2023-03-04 11:52:09 PM] - TRADE : From Kings to Penguins : Cal Petersen (64).
[2023-03-04 11:52:09 PM] - TRADE : From Penguins to Kings : Connor Hellebyuk (70).
[2023-02-28 9:30:44 PM] - TRADE : From Penguins to Panthers : Viktor Fasth (78).
[2023-02-28 9:30:44 PM] - TRADE : From Panthers to Penguins : Jonathan Quick (82).
[2023-02-05 10:50:29 PM] - New Record for Team's Most Hits (34) in 1 Game for Penguins!
[2023-02-03 7:05:22 PM] - TRADE : From Kings to Penguins : Brett Kulak (71), Tomas Nosek (71), Victor Olofsson (69).
[2023-02-03 7:05:22 PM] - TRADE : From Penguins to Kings : Christian Dvorak (69), Joe Colborne (74), Michael Raffl (72), Robert Hagg (75).
[2023-02-03 7:05:09 PM] - TRADE : From Panthers to Penguins : Anze Kopitar (79).
[2023-02-03 7:05:09 PM] - TRADE : From Penguins to Panthers : Jamie Arniel (76), Y:3-RND:2-Pit.
[2023-02-01 10:50:57 PM] - TRADE : From Penguins to Canucks : Mats Zuccarello (74), Oliver Ekman-Larsson (82).
[2023-02-01 10:50:57 PM] - TRADE : From Canucks to Penguins : Ben Lovejoy (76), Marcus Johansson (77), Y:5-RND:1-S.J, Y:7-RND:2-Van.
[2023-01-30 7:25:19 PM] - TRADE : From Golden Knights to Penguins : Michael Raffl (72).
[2023-01-30 7:25:19 PM] - TRADE : From Penguins to Golden Knights : Paul Stastny (74).
[2023-01-20 9:07:44 PM] - TRADE : From Golden Knights to Penguins : Danny DeKeiser (80), Sebastian Aho (72), Thomas Vanek (74), Y:3-RND:1-Veg, Y:4-RND:1-Veg.
[2023-01-20 9:07:44 PM] - TRADE : From Penguins to Golden Knights : Christopher Tanev (75), Josh Jooris (73), Steven Stamkos (84).
[2023-01-18 8:55:39 PM] - TRADE : From Kings to Penguins : Brendan Gallagher (78), Christian Dvorak (69), JT Compher (73), Matthew Tkachuk (70), Pavel Zacha (72), Y:3-RND:1-N.J, Y:3-RND:3-S.J.
[2023-01-18 8:55:39 PM] - TRADE : From Penguins to Kings : Kyle Connor (69), Nikita Kucherov (79), Victor Olofsson (69), William Nylander (73).
[2022-12-30 11:31:01 PM] - TRADE : From Golden Knights to Penguins : Jesper Boqvist (60), Victor Olofsson (69).
[2022-12-30 11:31:01 PM] - TRADE : From Penguins to Golden Knights : Cedric Paquette (69), Frederick Gaudreau (70).
[2022-12-16 7:01:20 PM] - New Record for Team's Most Penalties Minutes (21) in 1 Game for Penguins!
[2022-11-23 7:31:13 PM] - New Record for Team's Most Shots (47) in 1 Game for Penguins!
[2022-10-30 9:20:56 PM] - Paul Stastny signed with Penguins for $800,000 for 1 year(s).
[2022-10-30 9:20:56 PM] - Paul Stastny was added to Penguins.
[2022-10-30 9:20:38 PM] - Mats Zuccarello signed with Penguins for $800,000 for 1 year(s).
[2022-10-30 9:20:38 PM] - Mats Zuccarello was added to Penguins.
[2022-10-24 6:31:05 PM] - Evan Rodrigues signed with Penguins for $900,000 for 4 year(s).
[2022-10-24 6:31:05 PM] - Evan Rodrigues was added to Penguins.

[2023-06-05 8:15:12 PM] Dakota Mermis from Penguins is back from Sports Hernia Injury.
[2023-06-03 10:51:14 PM] Successfully loaded Penguins lines done with Web Base Client and SQLite Database.
[2023-06-03 10:50:30 PM] Successfully loaded Penguins lines done with Web Base Client and SQLite Database.
[2023-05-29 7:44:14 PM] Danny Biega from Penguins is back from Left Foot Injury.
[2023-05-29 7:44:12 PM] Game 1005 - Danny Biega from Penguins is injured (Left Foot) and is out for 4 days.
[2023-05-29 7:43:36 PM] Successfully loaded Penguins lines done with Web Base Client and SQLite Database.
[2023-05-22 11:49:55 AM] Successfully loaded Penguins lines done with Web Base Client and SQLite Database.
[2023-05-17 9:52:21 PM] Successfully loaded Penguins lines done with Web Base Client and SQLite Database.
[2023-05-15 8:07:48 PM] Curtis Hamilton from Penguins completes suspension
[2023-05-15 8:07:36 PM] Successfully loaded Penguins lines done with Web Base Client and SQLite Database.
[2023-05-14 8:58:16 PM] Last 7 Days Pro Star : 1 - Marcus Johansson of Penguins (5-4-9) / 2 - Marcus Foligno of Penguins (4-2-6) / 3 - Anze Kopitar of Penguins (2-7-9)
[2023-05-14 8:58:15 PM] Pro Game #958 - Marcus Johansson from Penguins has scored a Hat Trick!
[2023-05-14 10:12:49 AM] Jeremy Swayman from Penguins is back from Exhaustion.
[2023-05-14 10:12:12 AM] Successfully loaded Penguins lines done with Web Base Client and SQLite Database.
[2023-05-14 10:10:32 AM] Curtis Hamilton from Penguins suspended for 1 game(s)
[2023-05-12 9:24:51 PM] Last 30 Days Farm Star : 1 - Nick Cousins of Eagles (15-12-27) / 2 - Evan Rodrigues of Penguins (8-18-26) / 3 - Matthew Tkachuk of Penguins (12-10-22)
[2023-05-12 9:24:50 PM] Jeremy Swayman from Penguins injured (Exhaustion)
[2023-05-11 7:23:51 PM] Successfully loaded Penguins lines done with Web Base Client and SQLite Database.
[2023-05-11 7:19:44 PM] Successfully loaded Penguins lines done with Web Base Client and SQLite Database.
[2023-05-04 7:37:21 PM] Successfully loaded Penguins lines done with Web Base Client and SQLite Database.
[2023-05-02 7:19:32 PM] Successfully loaded Penguins lines done with Web Base Client and SQLite Database.
[2023-05-02 7:17:48 PM] Successfully loaded Penguins lines done with Web Base Client and SQLite Database.
[2023-05-01 7:19:12 PM] Last 7 Days Farm Star : 1 - Tomas Jurco of Moose (4-2-6) / 2 - Colton Sissons of Marlies (3-6-9) / 3 - Iven Barbashev of Penguins (3-2-5)
[2023-04-30 10:22:59 PM] Farm Game #863 - Matthew Tkachuk from Penguins has scored a Hat Trick!
[2023-04-30 10:22:48 PM] Successfully loaded Penguins lines done with Web Base Client and SQLite Database.
[2023-04-29 9:49:43 PM] Danny Biega from Penguins is back from Bruised Right Shoulder Injury.
[2023-04-29 9:49:26 PM] Successfully loaded Penguins lines done with Web Base Client and SQLite Database.
[2023-04-26 7:58:18 PM] Successfully loaded Penguins lines done with Web Base Client and SQLite Database.

Pas de blessure ou de suspension.

Penguins Leaders statistiques (saison régulière)

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

Penguins Leaders des statistiques des gardiens (saison régulière)

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

Penguins Statistiques de l'Équipe de Carrière

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	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Penguins Leaders statistiques (séries éliminatoires)

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

Penguins Leaders des statistiques des gardiens (séries éliminatoires)

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

	Penguins
	GP: 80 \| W: 42 \| L: 28 \| OTL: 10 \| P: 94 GF: 284 \| GA: 255 \| PP%: 17.47% \| PK%: 83.24% DG: Sylvain Leblanc \| Morale : 44 \| Moyenne d’équipe : 76