Simulated Hockey League - Pittsburgh Penguins

Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Dernière Transactions
Blessure/Suspension
Client Web pour Formation
Client Web pour Lignes

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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
1	Magnus Paajarvi		X	X		100.00	64	38	87	96	81	88	85	79	55	78	78	80	77	83	67	0	81	0	0
2	Brayden Point	X		X		100.00	66	42	81	82	77	82	88	80	76	85	85	75	85	69	68	0	81	0	0
3	Zach Hyman		X	X		100.00	76	34	78	80	78	81	91	76	62	74	74	78	72	66	69	0	75	0	0
4	Robby Fabbri	X	X	X		100.00	71	36	76	83	76	78	76	77	75	75	76	73	76	61	70	0	81	0	0
5	Adam Lowry	X				100.00	83	55	77	77	80	82	91	74	78	73	75	76	72	77	73	0	55	0	0
6	Miles Wood		X	X		100.00	75	38	62	84	78	72	86	74	60	72	77	69	74	63	64	0	81	0	0
7	Bo Horvat (R)	X				100.00	72	34	79	80	78	85	76	77	82	77	78	72	78	80	71	0	81	0	0
8	Colin Greening	X	X			100.00	76	60	69	70	83	76	77	72	70	71	73	72	71	71	65	0	82	0	0
9	Steve Bernier			X		100.00	82	52	86	76	89	87	87	76	72	74	74	66	75	95	99	0	81	0	0
10	Matt Duchene (C)	X	X	X		100.00	83	45	71	90	88	91	91	88	95	97	95	84	85	75	79	0	81	0	0
11	Dustin Jeffrey	X	X			100.00	65	26	87	67	75	75	76	69	73	67	68	73	67	64	61	0	80	0	0
12	Nikolai Zherdev		X	X		100.00	64	42	91	79	78	89	89	75	73	79	76	62	74	94	95	0	86	0	0
13	Vince Dunn (R)				X	100.00	70	34	75	81	75	76	86	81	50	75	75	71	73	64	61	0	66	0	0
14	Seth Jones				X	100.00	75	30	80	81	82	88	85	78	50	84	81	81	77	86	75	0	81	0	0
15	Matt Dumba				X	100.00	74	43	71	84	82	83	90	75	50	75	72	73	68	71	76	0	82	0	0
16	Tyler Myers (A)				X	100.00	86	44	63	83	88	91	91	82	52	90	80	84	72	81	89	0	80	0	0
17	Ben Hutton				X	100.00	71	34	73	78	77	84	78	74	50	74	69	77	67	72	68	0	81	0	0
18	Keith Aulie				X	100.00	80	48	68	77	83	79	80	68	51	68	65	76	65	65	61	0	78	0	0
Rayé
1	Bryan Rust		X	X		100.00	76	31	76	80	76	76	76	75	43	74	74	77	72	68	76	0	52	0	0

	MOYENNE D'ÉQUIPE					100.00	74	40	76	80	80	82	84	76	64	77	76	75	74	74	73	0	77	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 Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Chad Johnson	100.00	77	76	82	83	82	86	81	82	83	81	82	73	67	0	81	0	0
2	Marc-Andre Fleury	99.00	91	93	84	86	88	85	89	91	89	90	91	97	99	0	81	0	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	84	85	83	85	85	86	85	87	86	86	87	85	83	0	81	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dave Hakstol	77	84	85	87	76	61	72	CAN	50	2	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	Matt Duchene	Pittsburgh Penguins	C/LW/RW	82	34	58	92	1	54	0	132	143	278	89	169	12.23%	34	1626	19.84	11	21	32	33	226	1	0	1	4	129	5	3	56.88%	1992	66	32	1	2	1.13	3	7	0	6	10	5
2	Brayden Point	Pittsburgh Penguins	C/RW	82	33	30	63	13	10	0	93	107	248	65	142	13.31%	34	1582	19.30	11	14	25	46	223	0	0	0	9	189	5	3	49.31%	361	55	33	0	0	0.80	1	7	0	8	5	3
3	Magnus Paajarvi	Pittsburgh Penguins	LW/RW	82	33	28	61	3	0	0	91	95	270	85	152	12.22%	47	1673	20.41	4	8	12	18	173	0	0	0	4	235	6	2	36.54%	104	74	36	0	0	0.73	0	2	0	4	5	8
4	Robby Fabbri	Pittsburgh Penguins	C/LW/RW	82	23	31	54	-3	34	0	94	73	209	66	109	11.00%	36	1303	15.90	5	15	20	23	225	0	0	0	0	21	4	3	46.02%	113	55	22	0	0	0.83	0	0	0	4	3	2
5	Tyler Myers	Pittsburgh Penguins	D	82	9	40	49	-6	151	5	150	149	156	57	68	5.77%	131	2126	25.93	6	11	17	21	243	0	0	0	2	204	4	1	0.00%	0	62	71	0	0	0.46	1	1	0	1	1	1
6	Bo Horvat	Pittsburgh Penguins	C	82	12	32	44	7	24	0	94	100	156	48	97	7.69%	28	1292	15.76	1	6	7	12	173	0	0	0	0	1	1	1	52.26%	1150	19	19	0	0	0.68	0	2	0	1	4	3
7	Nikolai Zherdev	Pittsburgh Penguins	LW/RW	86	22	17	39	15	4	0	77	82	114	35	81	19.30%	41	1545	17.97	10	4	14	22	230	0	0	0	0	0	5	4	50.51%	99	24	18	0	0	0.50	0	1	0	1	3	2
8	Seth Jones	Pittsburgh Penguins	D	82	8	29	37	-2	26	0	103	142	144	50	50	5.56%	119	2091	25.51	3	7	10	12	220	0	1	1	1	168	2	0	0.00%	0	47	74	1	0	0.35	0	0	0	0	1	2
9	Zach Hyman	Pittsburgh Penguins	LW/RW	86	10	26	36	13	16	0	76	80	146	51	104	6.85%	35	1175	13.67	0	0	0	0	6	0	1	1	3	166	3	0	58.82%	68	40	17	0	0	0.61	1	1	0	2	2	4
10	Miles Wood	Pittsburgh Penguins	LW/RW	82	15	14	29	1	55	5	86	48	157	57	91	9.55%	18	1032	12.59	1	2	3	2	49	0	0	0	0	2	3	0	38.78%	49	29	13	0	0	0.56	0	0	0	2	0	3
11	Adam Lowry	Pittsburgh Penguins	C	80	13	14	27	13	14	0	91	101	102	43	77	12.75%	26	1051	13.15	0	0	0	1	5	1	1	2	1	86	2	0	53.67%	736	19	15	0	0	0.51	0	0	0	2	2	4
12	Matt Dumba	Pittsburgh Penguins	D	82	3	22	25	25	47	5	90	83	82	37	33	3.66%	87	1704	20.78	3	2	5	6	126	0	0	0	2	102	1	0	0.00%	0	32	63	0	0	0.29	0	0	1	1	1	1
13	Vince Dunn	Pittsburgh Penguins	D	58	3	15	18	7	8	0	35	47	53	23	30	5.66%	50	1005	17.34	2	2	4	6	132	0	0	0	0	18	0	2	0.00%	0	16	32	0	0	0.36	0	0	0	0	0	0
14	Colin Greening	Pittsburgh Penguins	C/LW	80	10	8	18	5	18	0	70	42	71	35	31	14.08%	17	666	8.33	0	0	0	0	1	0	0	0	0	0	1	1	46.27%	67	5	12	0	0	0.54	0	0	0	1	2	0
15	Steve Bernier	Pittsburgh Penguins	RW	82	10	5	15	13	4	0	71	47	93	25	43	10.75%	17	781	9.53	0	0	0	0	2	0	0	0	0	0	2	0	66.67%	21	16	14	0	0	0.38	0	0	0	0	2	2
16	Keith Aulie	Pittsburgh Penguins	D	82	0	14	14	6	34	0	61	64	45	17	19	0.00%	61	1145	13.97	0	0	0	0	0	0	1	1	0	163	0	0	0.00%	0	5	33	0	0	0.24	0	0	0	0	0	0
17	Ben Hutton	Pittsburgh Penguins	D	82	2	10	12	10	30	0	75	92	64	17	25	3.13%	85	1449	17.68	0	0	0	0	14	0	0	0	1	262	0	0	0.00%	0	14	40	0	0	0.17	0	1	0	1	1	0
18	Bryan Rust	Pittsburgh Penguins	LW/RW	66	2	9	11	-12	21	5	65	44	95	33	59	2.11%	17	859	13.03	0	0	0	0	5	0	1	1	1	71	0	0	37.74%	53	10	15	0	0	0.26	0	0	0	0	0	0
19	Dustin Jeffrey	Pittsburgh Penguins	C/LW	74	5	5	10	9	0	0	30	55	54	6	32	9.26%	15	617	8.34	0	0	0	0	0	0	0	0	0	0	0	0	57.58%	198	4	7	0	0	0.32	0	0	0	0	0	2
Stats d'équipe Total ou en Moyenne				1514	247	407	654	118	550	20	1584	1594	2537	839	1412	9.74%	898	24732	16.34	57	92	149	202	2061	2	5	7	28	1824	44	20	53.58%	5011	592	566	2	2	0.53	6	22	1	34	42	42

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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	Marc-Andre Fleury	Pittsburgh Penguins	65	37	22	6	0.921	2.43	3920	2	0	159	2005	929	5	1	0.167	6	65	17	11	8	4
2	Chad Johnson	Pittsburgh Penguins	17	7	6	4	0.899	3.04	1046	0	1	53	524	247	2	0	0.625	16	17	65	3	0	0
Stats d'équipe Total ou en Moyenne			82	44	28	10	0.916	2.56	4967	2	1	212	2529	1176	7	1	0.500	22	82	82	14	8	4

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	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Adam Lowry	Pittsburgh Penguins	C	26	1993-07-15	No	209 Lbs	196 CM	No	No	No	2	Pro & Farm	2,000,000$	2,000,000$	0$	No	2,000,000$		Lien / Lien NHL
Ben Hutton	Pittsburgh Penguins	D	26	1993-07-15	No	207 Lbs	188 CM	No	No	No	3	Pro & Farm	3,300,000$	3,300,000$	0$	No	3,300,000$	3,300,000$	Lien / Lien NHL
Bo Horvat	Pittsburgh Penguins	C	24	1995-07-15	Yes	216 Lbs	183 CM	No	No	No	2	Pro & Farm	5,500,000$	5,500,000$	0$	No	5,500,000$		Lien / Lien NHL
Brayden Point	Pittsburgh Penguins	C/RW	23	1996-07-15	No	165 Lbs	178 CM	No	No	No	2	Pro & Farm	6,750,000$	6,750,000$	0$	No	6,750,000$		Lien / Lien NHL
Bryan Rust	Pittsburgh Penguins	LW/RW	27	1992-07-15	No	192 Lbs	178 CM	No	No	No	2	Pro & Farm	2,250,000$	2,250,000$	0$	No	2,250,000$		Lien / Lien NHL
Chad Johnson	Pittsburgh Penguins	G	33	1986-07-15	No	193 Lbs	191 CM	No	No	No	2	Pro & Farm	1,750,000$	1,750,000$	0$	No	1,750,000$		Lien / Lien NHL
Colin Greening	Pittsburgh Penguins	C/LW	33	1986-07-15	No	212 Lbs	191 CM	No	No	No	2	Pro & Farm	1,700,000$	1,700,000$	0$	No	1,700,000$		Lien / Lien NHL
Dustin Jeffrey	Pittsburgh Penguins	C/LW	31	1988-07-15	No	205 Lbs	185 CM	No	No	No	1	Pro & Farm	752,000$	752,000$	0$	No			Lien
Keith Aulie	Pittsburgh Penguins	D	30	1989-07-15	No	217 Lbs	198 CM	No	No	No	1	Pro & Farm	825,000$	825,000$	0$	No			Lien
Magnus Paajarvi	Pittsburgh Penguins	LW/RW	28	1991-07-15	No	208 Lbs	191 CM	No	No	No	1	Pro & Farm	5,000,000$	5,000,000$	0$	No			Lien / Lien NHL
Marc-Andre Fleury	Pittsburgh Penguins	G	34	1985-07-15	No	175 Lbs	188 CM	No	No	No	1	Pro & Farm	8,000,000$	8,000,000$	0$	No			Lien / Lien NHL
Matt Duchene	Pittsburgh Penguins	C/LW/RW	28	1991-07-15	No	200 Lbs	180 CM	Yes	No	No	2	Pro & Farm	11,000,000$	11,000,000$	0$	No	11,000,000$		Lien / Lien NHL
Matt Dumba	Pittsburgh Penguins	D	25	1994-07-15	No	183 Lbs	183 CM	No	No	No	1	Pro & Farm	2,550,000$	2,550,000$	0$	No			Lien / Lien NHL
Miles Wood	Pittsburgh Penguins	LW/RW	24	1995-07-15	No	194 Lbs	188 CM	No	No	No	2	Pro & Farm	2,750,000$	2,750,000$	0$	No	2,750,000$		Lien / Lien NHL
Nikolai Zherdev	Pittsburgh Penguins	LW/RW	34	1985-07-15	No	197 Lbs	188 CM	No	No	No	1	Pro & Farm	7,050,000$	7,050,000$	0$	No			Lien
Robby Fabbri	Pittsburgh Penguins	C/LW/RW	23	1996-07-15	No	194 Lbs	178 CM	No	No	No	1	Pro & Farm	894,167$	894,167$	0$	No			Lien / Lien NHL
Seth Jones	Pittsburgh Penguins	D	25	1994-07-15	No	207 Lbs	193 CM	No	No	No	1	Pro & Farm	5,400,000$	5,400,000$	0$	No			Lien / Lien NHL
Steve Bernier	Pittsburgh Penguins	RW	34	1985-07-15	No	235 Lbs	188 CM	No	No	No	2	Pro & Farm	2,300,000$	2,300,000$	0$	No	2,300,000$		Lien / Lien NHL
Tyler Myers	Pittsburgh Penguins	D	29	1990-07-15	No	219 Lbs	203 CM	No	No	No	3	Pro & Farm	8,300,000$	8,300,000$	0$	No	8,300,000$	8,300,000$	Lien / Lien NHL
Vince Dunn	Pittsburgh Penguins	D	23	1996-07-15 2:17:56 PM	Yes	203 Lbs	183 CM	No	No	No	3	Pro & Farm	722,500$	722,500$	0$	No	722,500$	722,500$
Zach Hyman	Pittsburgh Penguins	LW/RW	27	1992-07-15	No	209 Lbs	185 CM	No	No	No	1	Pro & Farm	2,250,000$	2,250,000$	0$	No			Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	27.95	202 Lbs	188 CM	1.71	3,859,222$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
81,043,667$	48,322,500$	12,322,500$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Magnus Paajarvi	Matt Duchene	Nikolai Zherdev	35	1	1	3
2	Miles Wood	Adam Lowry	Brayden Point	28	1	1	3
3	Robby Fabbri	Bo Horvat	Zach Hyman	27	1	2	2
4	Dustin Jeffrey	Colin Greening	Steve Bernier	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Dumba	Seth Jones	40	0	3	2
2	Vince Dunn	Tyler Myers	30	0	3	2
3	Ben Hutton	Keith Aulie	20	1	3	1
4	Seth Jones	Tyler Myers	10	1	3	1

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brayden Point	Matt Duchene	Robby Fabbri	60	0	1	4
2	Magnus Paajarvi	Bo Horvat	Nikolai Zherdev	40	0	1	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Vince Dunn	Tyler Myers	60	0	1	4
2	Matt Dumba	Seth Jones	40	0	2	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Adam Lowry	Zach Hyman	60	0	4	1
2	Matt Duchene	Magnus Paajarvi	40	0	4	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ben Hutton	Tyler Myers	60	1	2	2
2	Keith Aulie	Seth Jones	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Duchene	60	0	5	0	Ben Hutton	Tyler Myers	60	1	2	2
2	Adam Lowry	40	0	5	0	Keith Aulie	Seth Jones	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Matt Duchene	Magnus Paajarvi	60	1	1	3
2	Bo Horvat	Brayden Point	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Dumba	Seth Jones	60	1	3	1
2	Vince Dunn	Tyler Myers	40	1	3	1

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Magnus Paajarvi	Matt Duchene	Brayden Point	Vince Dunn	Tyler Myers

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Magnus Paajarvi	Matt Duchene	Brayden Point	Seth Jones	Tyler Myers

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Matt Duchene, Brayden Point, Bo Horvat	Magnus Paajarvi, Miles Wood	Brayden Point

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Seth Jones, Vince Dunn, Ben Hutton	Ben Hutton	Matt Dumba, Vince Dunn

Tirs de Pénalité
Magnus Paajarvi, Matt Duchene, Brayden Point, Bo Horvat, Seth Jones

Gardien
#1 : Marc-Andre Fleury, #2 : Chad Johnson

Lignes d'Attaque Perso. en Prol.
Matt Duchene, Magnus Paajarvi, Brayden Point, Robby Fabbri, Bo Horvat, Miles Wood, Miles Wood, Adam Lowry, Nikolai Zherdev, Steve Bernier, Zach Hyman

Lignes de Défense Perso. en Prol.
Tyler Myers, Seth Jones, Vince Dunn, Matt Dumba, Ben Hutton

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

	Ligue												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	Anaheim Ducks	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	2	1	1	4	1.000	9	16	25	0	0	0	8	1	0	69	18	26	25	0	74	25	12	39	5	2	40.00%	6	1	83.33%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	43	27	45	16	31	15
2	Arizona Coyotes	2	2	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	5	9	14	0	0	1	2	2	0	58	18	24	16	0	70	20	10	41	7	1	14.29%	5	1	80.00%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	41	23	44	17	33	17
3	Boston Bruins	3	0	2	0	0	0	0	1	6	10	-4	1	0	0	0	0	0	0	1	3	4	-1	2	0	2	0	0	0	0	0	3	6	-3	1	0.167	6	11	17	0	0	2	2	2	1	96	32	23	40	3	110	28	24	57	9	1	11.11%	12	1	91.67%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	65	38	67	26	52	26
4	Buffalo Sabres	3	0	2	0	0	0	0	1	6	9	-3	2	0	1	0	0	0	0	1	4	6	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0.167	6	10	16	0	0	2	4	0	1	81	27	22	31	3	91	44	26	50	6	1	16.67%	14	5	64.29%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	63	36	68	27	52	26
5	Calgary Flames	2	0	1	0	0	0	1	0	4	4	0	1	0	0	0	0	0	1	0	2	1	1	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	4	4	8	0	0	2	0	1	1	51	13	24	13	4	60	13	18	46	2	1	50.00%	9	1	88.89%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	45	26	42	19	36	17
6	Carolina Hurricanes	4	2	0	0	1	1	0	0	16	10	6	2	0	0	0	1	1	0	0	6	6	0	2	2	0	0	0	0	0	0	10	4	6	7	0.875	16	24	40	0	0	4	5	6	1	126	41	32	48	5	112	38	23	74	12	1	8.33%	10	1	90.00%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	89	53	84	37	69	34
7	Chicago Blackhawks	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	4	8	12	0	0	2	0	2	0	71	17	23	31	0	69	17	4	37	7	2	28.57%	2	0	100.00%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	44	26	41	16	34	17
8	Colorado Avalanche	2	1	1	0	0	0	0	0	11	7	4	1	0	1	0	0	0	0	0	3	6	-3	1	1	0	0	0	0	0	0	8	1	7	2	0.500	11	21	32	0	0	1	6	4	0	59	21	18	20	0	55	24	16	39	6	2	33.33%	8	1	87.50%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	46	28	38	17	35	18
9	Columbus Blue Jackets	4	2	2	0	0	0	0	0	14	12	2	2	1	1	0	0	0	0	0	7	6	1	2	1	1	0	0	0	0	0	7	6	1	4	0.500	14	24	38	0	0	1	7	6	0	151	44	58	49	0	118	52	28	82	9	2	22.22%	14	2	85.71%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	83	49	89	36	67	32
10	Dallas Stars	2	1	0	0	0	1	0	0	4	4	0	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	2	1	1	3	0.750	4	5	9	0	0	1	3	0	0	57	17	23	17	0	55	30	14	38	6	0	0.00%	8	0	100.00%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	45	26	40	17	34	16
11	Detroit Red Wings	3	1	0	0	0	1	0	1	7	7	0	1	0	0	0	0	0	0	1	1	2	-1	2	1	0	0	0	1	0	0	6	5	1	4	0.667	7	10	17	0	0	1	2	4	0	90	24	35	26	8	91	34	20	47	10	0	0.00%	10	0	100.00%	1	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	68	38	65	28	53	26
12	Edmonton Oilers	2	2	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	4	8	12	0	0	2	2	0	0	56	22	16	18	0	74	29	12	36	4	0	0.00%	6	1	83.33%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	41	23	43	17	35	17
13	Florida Panthers	3	1	1	0	0	1	0	0	8	9	-1	1	1	0	0	0	0	0	0	4	2	2	2	0	1	0	0	1	0	0	4	7	-3	3	0.500	8	14	22	0	0	4	1	3	0	91	36	31	24	0	94	25	14	61	13	1	7.69%	7	0	100.00%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	65	38	65	27	50	25
14	Los Angeles Kings	2	1	0	0	0	1	0	0	7	5	2	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	5	2	3	3	0.750	7	13	20	0	0	1	4	2	0	64	32	19	13	0	52	13	8	40	8	2	25.00%	4	1	75.00%	1	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	43	25	42	18	37	19
15	Minnesota Wild	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	4	7	11	0	0	1	2	1	0	66	28	23	15	0	64	14	6	48	5	1	20.00%	3	1	66.67%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	46	28	39	17	34	16
16	Montreal Canadiens	3	2	0	0	1	0	0	0	9	5	4	2	2	0	0	0	0	0	0	7	4	3	1	0	0	0	1	0	0	0	2	1	1	6	1.000	9	15	24	0	0	3	2	3	1	114	28	43	42	1	96	37	10	73	8	2	25.00%	5	1	80.00%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	66	40	62	23	51	26
17	Nashville Predators	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	3	6	9	0	0	0	3	0	0	62	14	19	29	0	52	15	22	50	11	0	0.00%	11	1	90.91%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	44	24	40	19	35	17
18	New Jersey Devils	4	4	0	0	0	0	0	0	15	9	6	2	2	0	0	0	0	0	0	9	5	4	2	2	0	0	0	0	0	0	6	4	2	8	1.000	15	24	39	0	0	2	7	6	0	135	40	45	50	0	137	38	22	84	10	6	60.00%	11	1	90.91%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	89	53	80	34	70	34
19	New York Islanders	4	2	1	0	0	0	0	1	14	12	2	2	1	0	0	0	0	0	1	7	6	1	2	1	1	0	0	0	0	0	7	6	1	5	0.625	14	21	35	0	0	2	5	7	0	113	34	34	45	4	113	39	61	84	23	4	17.39%	28	5	82.14%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	82	43	89	39	72	35
20	New York Rangers	4	2	2	0	0	0	0	0	8	9	-1	2	1	1	0	0	0	0	0	4	5	-1	2	1	1	0	0	0	0	0	4	4	0	4	0.500	8	14	22	0	0	3	3	2	0	132	49	46	37	0	118	40	41	69	9	1	11.11%	14	2	85.71%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	91	55	80	34	67	33
21	Ottawa Senators	3	1	1	0	0	0	0	1	11	12	-1	2	1	0	0	0	0	0	1	9	8	1	1	0	1	0	0	0	0	0	2	4	-2	3	0.500	11	19	30	1	0	3	4	4	1	93	30	41	21	4	91	23	12	52	10	5	50.00%	6	2	66.67%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	69	43	64	25	50	25
22	Philadelphia Flyers	4	3	1	0	0	0	0	0	14	12	2	2	2	0	0	0	0	0	0	10	7	3	2	1	1	0	0	0	0	0	4	5	-1	6	0.750	14	19	33	0	0	4	1	9	0	119	34	33	52	0	119	55	32	79	14	3	21.43%	16	4	75.00%	1	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	85	48	84	37	69	34
23	San Jose Sharks	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	4	3	1	2	0.500	6	11	17	0	0	0	4	2	0	59	11	25	23	0	72	35	12	47	1	0	0.00%	6	2	66.67%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	41	25	46	17	32	15
24	St-Louis Blues	2	0	1	0	1	0	0	0	7	7	0	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	1	0	0	0	5	4	1	2	0.500	7	13	20	0	0	1	2	3	1	64	15	22	25	2	69	24	16	42	3	1	33.33%	7	1	85.71%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	41	23	44	18	36	17
25	Tampa Bay Lightning	3	1	0	0	1	0	1	0	9	5	4	1	0	0	0	0	0	1	0	3	2	1	2	1	0	0	1	0	0	0	6	3	3	6	1.000	9	13	22	0	0	4	1	2	2	97	35	29	29	6	82	26	41	56	18	3	16.67%	20	2	90.00%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	65	36	67	29	53	26
26	Toronto Maple Leafs	3	1	2	0	0	0	0	0	7	10	-3	2	1	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	7	13	20	0	0	0	4	3	0	86	36	33	17	0	84	41	18	60	9	3	33.33%	9	3	66.67%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	68	40	58	24	53	27
	Total	82	37	28	0	5	5	2	5	239	218	21	41	18	11	0	2	3	2	5	128	117	11	41	19	17	0	3	2	0	0	111	101	10	98	0.598	239	398	637	1	1	52	100	80	10	2554	804	895	833	41	2530	882	578	1612	259	53	20.46%	279	47	83.15%	3	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	1803	1057	1741	737	1426	709
28	Vancouver Canucks	2	1	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	2	1	1	2	0.500	5	9	14	0	0	2	1	2	0	56	21	22	13	0	69	20	8	43	8	2	25.00%	4	1	75.00%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	47	28	38	17	34	17
29	Vegas Golden Knights	2	0	1	0	1	0	0	0	4	6	-2	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	4	7	11	0	0	0	3	0	1	65	20	30	14	1	60	19	16	51	4	1	25.00%	8	2	75.00%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	46	27	39	17	35	17
30	Washington Capitals	4	2	2	0	0	0	0	0	9	8	1	2	1	1	0	0	0	0	0	4	6	-2	2	1	1	0	0	0	0	0	5	2	3	4	0.500	9	14	23	0	1	1	7	1	0	122	30	59	33	0	127	40	18	59	13	2	15.38%	9	1	88.89%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	85	50	87	36	67	32
31	Winnipeg Jets	2	1	1	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	7	2	5	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	9	16	25	0	0	2	5	2	0	51	17	17	17	0	52	24	14	28	9	3	33.33%	7	3	57.14%	0	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	42	23	39	18	38	19
	_Since Last GM Reset	82	37	28	0	5	5	2	5	239	218	21	41	18	11	0	2	3	2	5	128	117	11	41	19	17	0	3	2	0	0	111	101	10	98	0.598	239	398	637	1	1	52	100	80	10	2554	804	895	833	41	2530	882	578	1612	259	53	20.46%	279	47	83.15%	3	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	1803	1057	1741	737	1426	709
	_Vs Conference	52	24	16	0	3	3	1	5	153	139	14	26	13	5	0	1	1	1	5	83	75	8	26	11	11	0	2	2	0	0	70	64	6	64	0.615	153	245	398	1	1	36	55	58	7	1646	520	564	544	34	1583	560	390	987	173	35	20.23%	185	30	83.78%	2	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	1140	668	1114	469	902	448
	_Vs Division	28	17	8	0	1	1	0	1	90	72	18	14	8	3	0	1	1	0	1	47	41	6	14	9	5	0	0	0	0	0	43	31	12	38	0.679	90	140	230	0	1	17	35	37	1	898	272	307	314	9	844	302	225	531	90	19	21.11%	102	16	84.31%	1	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	608	355	595	255	485	237

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
82	98	L2	239	398	637	2554	2530	882	578	1612	1	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	37	28	5	5	2	5	239	218

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	11	2	3	2	5	128	117

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	19	17	3	2	0	0	111	101

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
7	3	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
259	53	20.46%	279	47	83.15%	3

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
804	895	833	41	52	100	80	10

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
1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%

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
1803	1057	1741	737	1426	709

Derniers Match 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
2 - 2019-10-26	7	Buffalo Sabres	4	Pittsburgh Penguins	3	L	X	X		Sommaire du Match
4 - 2019-10-28	22	Columbus Blue Jackets	4	Pittsburgh Penguins	2	L				Sommaire du Match
7 - 2019-10-31	38	Winnipeg Jets	2	Pittsburgh Penguins	7	W				Sommaire du Match
9 - 2019-11-02	50	Anaheim Ducks	4	Pittsburgh Penguins	7	W				Sommaire du Match
11 - 2019-11-04	71	Pittsburgh Penguins	1	Minnesota Wild	3	L				Sommaire du Match
12 - 2019-11-05	75	Pittsburgh Penguins	2	Winnipeg Jets	5	L				Sommaire du Match
15 - 2019-11-08	92	Colorado Avalanche	6	Pittsburgh Penguins	3	L				Sommaire du Match
17 - 2019-11-10	108	Dallas Stars	3	Pittsburgh Penguins	2	L	X			Sommaire du Match
18 - 2019-11-11	119	Vegas Golden Knights	2	Pittsburgh Penguins	3	W	X			Sommaire du Match
21 - 2019-11-14	135	Pittsburgh Penguins	4	Florida Panthers	5	L	X			Sommaire du Match
22 - 2019-11-15	144	Pittsburgh Penguins	4	Tampa Bay Lightning	2	W			R4	Sommaire du Match
25 - 2019-11-18	166	Pittsburgh Penguins	2	Dallas Stars	1	W				Sommaire du Match
28 - 2019-11-21	182	Philadelphia Flyers	3	Pittsburgh Penguins	5	W				Sommaire du Match
32 - 2019-11-25	204	Edmonton Oilers	1	Pittsburgh Penguins	2	W				Sommaire du Match
34 - 2019-11-27	220	Pittsburgh Penguins	2	Boston Bruins	3	L				Sommaire du Match
37 - 2019-11-30	239	Pittsburgh Penguins	6	New York Islanders	1	W				Sommaire du Match
39 - 2019-12-02	257	Chicago Blackhawks	1	Pittsburgh Penguins	3	W				Sommaire du Match
42 - 2019-12-05	274	Pittsburgh Penguins	1	New York Rangers	3	L				Sommaire du Match
45 - 2019-12-08	295	Pittsburgh Penguins	4	New Jersey Devils	3	W				Sommaire du Match
46 - 2019-12-09	308	Toronto Maple Leafs	1	Pittsburgh Penguins	3	W				Sommaire du Match
49 - 2019-12-12	321	New York Islanders	2	Pittsburgh Penguins	4	W				Sommaire du Match
51 - 2019-12-14	335	Pittsburgh Penguins	1	New York Islanders	5	L				Sommaire du Match
52 - 2019-12-15	346	New Jersey Devils	1	Pittsburgh Penguins	4	W				Sommaire du Match
55 - 2019-12-18	368	Calgary Flames	1	Pittsburgh Penguins	2	W	X	X		Sommaire du Match
57 - 2019-12-20	382	Vancouver Canucks	5	Pittsburgh Penguins	3	L				Sommaire du Match
59 - 2019-12-22	400	Pittsburgh Penguins	3	Columbus Blue Jackets	4	L				Sommaire du Match
60 - 2019-12-23	412	Pittsburgh Penguins	5	St-Louis Blues	4	W	X			Sommaire du Match
64 - 2019-12-27	435	St-Louis Blues	3	Pittsburgh Penguins	2	L				Sommaire du Match
66 - 2019-12-29	449	Arizona Coyotes	1	Pittsburgh Penguins	2	W				Sommaire du Match
67 - 2019-12-30	456	Pittsburgh Penguins	3	Detroit Red Wings	1	W				Sommaire du Match
70 - 2020-01-02	474	Montreal Canadiens	2	Pittsburgh Penguins	3	W				Sommaire du Match
72 - 2020-01-04	490	Columbus Blue Jackets	2	Pittsburgh Penguins	5	W				Sommaire du Match
74 - 2020-01-06	511	Los Angeles Kings	3	Pittsburgh Penguins	2	L	X			Sommaire du Match
77 - 2020-01-09	531	Pittsburgh Penguins	2	Calgary Flames	3	L				Sommaire du Match
80 - 2020-01-12	551	Pittsburgh Penguins	2	Edmonton Oilers	1	W				Sommaire du Match
81 - 2020-01-13	563	Pittsburgh Penguins	2	Vancouver Canucks	1	W				Sommaire du Match
87 - 2020-01-19	587	Pittsburgh Penguins	1	Nashville Predators	3	L			R3	Sommaire du Match
88 - 2020-01-20	597	Nashville Predators	3	Pittsburgh Penguins	2	L				Sommaire du Match
90 - 2020-01-22	612	Ottawa Senators	6	Pittsburgh Penguins	5	L	X	X		Sommaire du Match
93 - 2020-01-25	631	San Jose Sharks	3	Pittsburgh Penguins	2	L				Sommaire du Match
95 - 2020-01-27	647	Pittsburgh Penguins	2	Montreal Canadiens	1	W	X			Sommaire du Match
96 - 2020-01-28	654	Florida Panthers	2	Pittsburgh Penguins	4	W				Sommaire du Match
98 - 2020-01-30	673	Pittsburgh Penguins	1	Vegas Golden Knights	4	L				Sommaire du Match
101 - 2020-02-02	691	Pittsburgh Penguins	8	Colorado Avalanche	1	W				Sommaire du Match
103 - 2020-02-04	706	Pittsburgh Penguins	3	Arizona Coyotes	1	W				Sommaire du Match
105 - 2020-02-06	718	Minnesota Wild	4	Pittsburgh Penguins	3	L				Sommaire du Match
107 - 2020-02-08	727	Pittsburgh Penguins	1	Boston Bruins	3	L				Sommaire du Match
108 - 2020-02-09	740	Pittsburgh Penguins	3	Detroit Red Wings	4	L	X			Sommaire du Match
110 - 2020-02-11	755	Boston Bruins	4	Pittsburgh Penguins	3	L	X	X		Sommaire du Match
112 - 2020-02-13	763	Pittsburgh Penguins	1	Philadelphia Flyers	3	L				Sommaire du Match
122 - 2020-02-23	786	Philadelphia Flyers	4	Pittsburgh Penguins	5	W				Sommaire du Match
124 - 2020-02-25	806	Pittsburgh Penguins	1	Washington Capitals	2	L				Sommaire du Match
128 - 2020-02-29	829	Pittsburgh Penguins	2	Tampa Bay Lightning	1	W	X		R4	Sommaire du Match
130 - 2020-03-02	848	Pittsburgh Penguins	0	Florida Panthers	2	L				Sommaire du Match
133 - 2020-03-05	870	Tampa Bay Lightning	2	Pittsburgh Penguins	3	W	X	X	R4	Sommaire du Match
136 - 2020-03-08	892	Montreal Canadiens	2	Pittsburgh Penguins	4	W				Sommaire du Match
138 - 2020-03-10	906	Detroit Red Wings	2	Pittsburgh Penguins	1	L	X	X		Sommaire du Match
140 - 2020-03-12	921	Toronto Maple Leafs	5	Pittsburgh Penguins	2	L				Sommaire du Match
142 - 2020-03-14	933	Pittsburgh Penguins	2	Toronto Maple Leafs	4	L				Sommaire du Match
144 - 2020-03-16	950	Buffalo Sabres	2	Pittsburgh Penguins	1	L				Sommaire du Match
145 - 2020-03-17	959	Pittsburgh Penguins	4	Washington Capitals	0	W				Sommaire du Match
148 - 2020-03-20	983	Pittsburgh Penguins	5	Los Angeles Kings	2	W				Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-03-22	998	Pittsburgh Penguins	2	Anaheim Ducks	1	W				Sommaire du Match
151 - 2020-03-23	1010	Pittsburgh Penguins	4	San Jose Sharks	3	W				Sommaire du Match
154 - 2020-03-26	1022	Ottawa Senators	2	Pittsburgh Penguins	4	W				Sommaire du Match
156 - 2020-03-28	1033	Pittsburgh Penguins	2	Buffalo Sabres	3	L				Sommaire du Match
158 - 2020-03-30	1050	Washington Capitals	5	Pittsburgh Penguins	2	L				Sommaire du Match
159 - 2020-03-31	1059	Carolina Hurricanes	3	Pittsburgh Penguins	2	L	X			Sommaire du Match
161 - 2020-04-02	1072	Pittsburgh Penguins	2	New Jersey Devils	1	W				Sommaire du Match
163 - 2020-04-04	1088	Pittsburgh Penguins	4	Columbus Blue Jackets	2	W				Sommaire du Match
165 - 2020-04-06	1104	Pittsburgh Penguins	5	Carolina Hurricanes	3	W				Sommaire du Match
166 - 2020-04-07	1115	New York Islanders	4	Pittsburgh Penguins	3	L	X	X		Sommaire du Match
169 - 2020-04-10	1133	Pittsburgh Penguins	3	New York Rangers	1	W				Sommaire du Match
171 - 2020-04-12	1146	New York Rangers	1	Pittsburgh Penguins	3	W				Sommaire du Match
173 - 2020-04-14	1164	Washington Capitals	1	Pittsburgh Penguins	2	W				Sommaire du Match
175 - 2020-04-16	1180	Carolina Hurricanes	3	Pittsburgh Penguins	4	W	X			Sommaire du Match
176 - 2020-04-17	1186	Pittsburgh Penguins	1	Chicago Blackhawks	4	L				Sommaire du Match
179 - 2020-04-20	1205	Pittsburgh Penguins	5	Carolina Hurricanes	1	W				Sommaire du Match
180 - 2020-04-21	1216	Pittsburgh Penguins	3	Philadelphia Flyers	2	W				Sommaire du Match
182 - 2020-04-23	1230	New Jersey Devils	4	Pittsburgh Penguins	5	W				Sommaire du Match
184 - 2020-04-25	1247	New York Rangers	4	Pittsburgh Penguins	1	L				Sommaire du Match
186 - 2020-04-27	1263	Pittsburgh Penguins	2	Ottawa Senators	4	L				Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	5800	5050	3700	4550	1900
Prix des Billets	110	60	29	20	185
Assistance	187,028	200,483	105,579	174,742	72,150
Attendance PCT	78.65%	96.83%	69.60%	93.67%	92.62%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	18048 - 85.94%	1,660,226$	68,069,277$	21000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
83,464,832$	81,043,667$	48,770,554$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
81,043,667$	81,454,111$	0$	21	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	444,084$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	81,043,667$	19,697,063$	19,697,063$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Magnus Paajarvi	AGE:28	PO:0	OV:0
Zach Hyman	AGE:27	PO:0	OV:0
Bryan Rust	AGE:27	PO:0	OV:0
Robby Fabbri	AGE:23	PO:0	OV:0
Miles Wood	AGE:24	PO:0	OV:0
Colin Greening	AGE:33	PO:0	OV:0
Matt Duchene	AGE:28	PO:0	OV:0
Dustin Jeffrey	AGE:31	PO:0	OV:0
Nikolai Zherdev	AGE:34	PO:0	OV:0

Jay McClement	AGE:36	PO:0	OV:0
Brayden Point	AGE:23	PO:0	OV:0
Robby Fabbri	AGE:23	PO:0	OV:0
Adam Lowry	AGE:26	PO:0	OV:0
*Bo Horvat	AGE:24	PO:0	OV:0
Colin Greening	AGE:33	PO:0	OV:0
Matt Duchene	AGE:28	PO:0	OV:0
Dustin Jeffrey	AGE:31	PO:0	OV:0

Magnus Paajarvi	AGE:28	PO:0	OV:0
Brayden Point	AGE:23	PO:0	OV:0
Zach Hyman	AGE:27	PO:0	OV:0
Bryan Rust	AGE:27	PO:0	OV:0
Robby Fabbri	AGE:23	PO:0	OV:0
Miles Wood	AGE:24	PO:0	OV:0
Steve Bernier	AGE:34	PO:0	OV:0
Matt Duchene	AGE:28	PO:0	OV:0
Nikolai Zherdev	AGE:34	PO:0	OV:0

Défense #1

Défense #2

Gardien

*Vince Dunn	AGE:23	PO:0	OV:0
Seth Jones	AGE:25	PO:0	OV:0
Matt Dumba	AGE:25	PO:0	OV:0
Tyler Myers	AGE:29	PO:0	OV:0

Joe Morrow	AGE:27	PO:0	OV:0
Ben Hutton	AGE:26	PO:0	OV:0
Keith Aulie	AGE:30	PO:0	OV:0

Chad Johnson	AGE:33	PO:0	OV:0
Marc-Andre Fleury	AGE:34	PO:0	OV:0

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total	Information	Lien
Adam Beckman	Pittsburgh Penguins
Aidan Dudas	Pittsburgh Penguins
Alexander Campbell	Pittsburgh Penguins
Andrew Agozzino	Pittsburgh Penguins
Brett Seney	Pittsburgh Penguins
Caleb Jones	Pittsburgh Penguins
Cam York	Pittsburgh Penguins
Cameron Crotty	Pittsburgh Penguins
Carl Grundstrom	Pittsburgh Penguins
Conor Garland	Pittsburgh Penguins
Daniil Tarasov	Pittsburgh Penguins
Dante Fabbro	Pittsburgh Penguins
Demetrios Koumontzis	Pittsburgh Penguins
Deven Sideroff	Pittsburgh Penguins
Drake Rymsha	Pittsburgh Penguins
Ethan Keppen	Pittsburgh Penguins
Graham Knott	Pittsburgh Penguins
Jakub Skarek	Pittsburgh Penguins
Jens Looke	Pittsburgh Penguins
Jonatan Berggren	Pittsburgh Penguins
Jonathan Dahlen	Pittsburgh Penguins
Justin Bailey	Pittsburgh Penguins
Lane Zablocki	Pittsburgh Penguins
Layton Ahac	Pittsburgh Penguins
Mark McNeill	Pittsburgh Penguins
Martin Kaut	Pittsburgh Penguins
Matej Pekar	Pittsburgh Penguins
Matt Tennyson	Pittsburgh Penguins
Matthew Robertson	Pittsburgh Penguins
Mattias Samuelsson	Pittsburgh Penguins
Nathan Bastian	Pittsburgh Penguins
Otto Kivenmaki	Pittsburgh Penguins
Otto Koivula	Pittsburgh Penguins
Rasmus Asplund	Pittsburgh Penguins
Reilly Walsh	Pittsburgh Penguins
Roope Hintz	Pittsburgh Penguins
Samuel Fagemo	Pittsburgh Penguins
Shane Eiserman	Pittsburgh Penguins
Spencer Stastney	Pittsburgh Penguins
Stanislav Demin	Pittsburgh Penguins
Steven Kampfer	Pittsburgh Penguins
Thatcher Demko	Pittsburgh Penguins
Travis Konecny	Pittsburgh Penguins
Tristan Jarry	Pittsburgh Penguins
Vladislav Firstov	Pittsburgh Penguins

Choix au Repêchage

Année	R1	R2	R3	R4	R5
2020	PIT	TBL	PIT NSH	COL PHI FLO	DAL
2021	PIT	PIT	PIT ARI	PIT	PIT FLO ANA
2022	PIT CBJ	PIT	PIT	PIT	PIT
2023	PIT	PIT	PIT	PIT	PIT
2024	PIT	PIT	PIT	PIT	PIT

[2020-02-28 12:00:48 PM] - TRADE : From Pittsburgh Penguins to Columbus Blue Jackets : Chris Kreider.
[2020-02-28 12:00:48 PM] - TRADE : From Columbus Blue Jackets to Pittsburgh Penguins : Nikolai Zherdev, Matej Pekar (P), Y:2022-RND:1-CBJ.
[2020-02-14 10:51:28 PM] - TRADE : From Pittsburgh Penguins to Arizona Coyotes : Nick Bjugstad.
[2020-02-14 10:51:28 PM] - TRADE : From Arizona Coyotes to Pittsburgh Penguins : Zach Hyman, Y:2021-RND:3-ARI.
[2020-02-08 7:51:15 PM] - TRADE : From Edmonton Oilers to Pittsburgh Penguins : Adam Lowry.
[2020-02-08 7:51:15 PM] - TRADE : From Pittsburgh Penguins to Edmonton Oilers : Jansen Harkins (P).
[2020-01-19 6:40:47 PM] - TRADE : From Pittsburgh Penguins to Toronto Maple Leafs : Taylor Raddysh (P).
[2020-01-19 6:40:47 PM] - TRADE : From Toronto Maple Leafs to Pittsburgh Penguins : Matthew Robertson (P).
[2019-12-07 11:47:31 PM] - TRADE : From Pittsburgh Penguins to Colorado Avalanche : Brad Hunt.
[2019-12-07 11:47:31 PM] - TRADE : From Colorado Avalanche to Pittsburgh Penguins : Y:2020-RND:4-COL.
[2019-12-06 8:23:38 PM] - Vince Dunn has been deleted from Pittsburgh Penguins.
[2019-12-06 8:22:21 PM] - Vince Dunn was added to Pittsburgh Penguins.
[2019-11-05 7:40:17 PM] - TRADE : From Nashville Predators to Pittsburgh Penguins : Chris Kreider.
[2019-11-05 7:40:17 PM] - TRADE : From Pittsburgh Penguins to Nashville Predators : Rickard Rakell, Y:2020-RND:2-PIT.
[2019-10-25 9:16:46 PM] - Daniel Girardi was released.
[2019-10-25 9:11:02 PM] - TRADE : From Tampa Bay Lightning to Pittsburgh Penguins : Y:2020-RND:4-PHI.
[2019-10-25 9:11:02 PM] - TRADE : From Pittsburgh Penguins to Tampa Bay Lightning : Nick Jensen.
[2019-10-12 9:04:41 PM] - Steve Bernier signed with Pittsburgh Penguins for $2,300,000 for 2 year(s).
[2019-10-12 9:04:41 PM] - Steve Bernier was added to Pittsburgh Penguins.
[2019-10-07 8:53:45 PM] - Boyd Gordon retired from Pittsburgh Penguins
[2019-10-05 4:28:40 PM] - Sergei Andronov has been deleted from Pittsburgh Penguins.
[2019-10-05 4:28:26 PM] - Victor Bartley has been deleted from Pittsburgh Penguins.
[2019-10-05 4:28:19 PM] - Tomas Kundratek has been deleted from Pittsburgh Penguins.
[2019-10-05 4:28:09 PM] - John McFarland has been deleted from Pittsburgh Penguins.
[2019-10-05 4:20:42 PM] - Bo Horvat was added to Pittsburgh Penguins.
[2019-10-05 4:07:00 PM] - Joe Morrow has been deleted from Pittsburgh Penguins.
[2019-10-05 3:46:52 PM] - Bo Horvat has been deleted from Pittsburgh Penguins.
[2019-10-05 3:46:46 PM] - Ben Hutton has been deleted from Pittsburgh Penguins.

[2020-03-28 6:49:36 PM] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.1.1
[2020-03-23 7:42:37 PM] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.1.1
[2020-03-11 6:15:02 PM] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-03-09 10:35:44 PM] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-03-07 5:34:16 PM] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.1.1
[2020-03-04 10:31:44 PM] Bryan Rust from Pittsburgh Penguins is back from Bruised Right Arm Injury.
[2020-03-03 10:47:20 PM] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.1.1
[2020-03-01 12:31:11 PM] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-02-28 12:00:48 PM] TRADE : From Pittsburgh Penguins to Columbus Blue Jackets : Chris Kreider.
[2020-02-28 12:00:48 PM] TRADE : From Columbus Blue Jackets to Pittsburgh Penguins : Nikolai Zherdev, Matej Pekar (P), Y:2022-RND:1-CBJ.
[2020-02-26 8:57:56 PM] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.1.1
[2020-02-25 9:31:53 PM] Game 950 - Bryan Rust from Pittsburgh Penguins is injured (Bruised Right Arm) and is out for 2 weeks.
[2020-02-21 8:13:21 PM] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-02-18 12:12:03 AM] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.1.1
[2020-02-14 10:51:28 PM] TRADE : From Pittsburgh Penguins to Arizona Coyotes : Nick Bjugstad.
[2020-02-14 10:51:28 PM] TRADE : From Arizona Coyotes to Pittsburgh Penguins : Zach Hyman, Y:2021-RND:3-ARI.
[2020-02-14 10:50:51 PM] Adam Lowry from Pittsburgh Penguins completes suspension
[2020-02-11 1:23:15 AM] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-02-08 7:51:58 PM] Adam Lowry from Pittsburgh Penguins suspended for 3 game(s)
[2020-02-08 7:51:49 PM] Pittsburgh Penguins roster errors : Too many Players available in Pro Team! 19 Dressed. Maximum is 18. Some errors will be automatically fixed.
[2020-02-08 7:51:47 PM] Pittsburgh Penguins are expected to be over the salary cap by $1,743,667!
[2020-02-08 7:51:16 PM] Pittsburgh Penguins are expected to be over the salary cap by $1,743,667!
[2020-02-08 7:51:15 PM] TRADE : From Edmonton Oilers to Pittsburgh Penguins : Adam Lowry.
[2020-02-08 7:51:15 PM] TRADE : From Pittsburgh Penguins to Edmonton Oilers : Jansen Harkins (P).
[2020-02-02 10:37:36 PM] Chris Kreider from Pittsburgh Penguins has scored a Hat Trick!
[2020-01-27 10:11:14 PM] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.1.1
[2020-01-22 5:59:15 PM] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.1.1
[2020-01-19 6:40:47 PM] TRADE : From Pittsburgh Penguins to Toronto Maple Leafs : Taylor Raddysh (P).
[2020-01-19 6:40:47 PM] TRADE : From Toronto Maple Leafs to Pittsburgh Penguins : Matthew Robertson (P).
[2020-01-19 6:34:29 PM] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-01-14 8:46:40 PM] Last 7 Days Pro Star : 1 - Matt Duchene of Pittsburgh Penguins (4-3-7) / 2 - Corey Crawford of Montreal Canadiens (0.974) / 3 - Leon Draisaitl of New York Islanders (4-0-4)
[2020-01-10 7:27:39 PM] Matt Duchene from Pittsburgh Penguins has scored a Hat Trick!
[2020-01-08 8:04:50 PM] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5

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	Ligue											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
2019	82	37	28	0	5	5	2	5	239	218	21	41	18	11	0	2	3	2	5	128	117	11	41	19	17	0	3	2	0	0	111	101	10	98	239	398	637	1	1	52	100	80	10	2554	804	895	833	41	2530	882	578	1612	259	53	20.46%	279	47	83.15%	3	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	1803	1057	1741	737	1426	709
Total Saison Régulière	82	37	28	0	5	5	2	5	239	218	21	41	18	11	0	2	3	2	5	128	117	11	41	19	17	0	3	2	0	0	111	101	10	98	239	398	637	1	1	52	100	80	10	2554	804	895	833	41	2530	882	578	1612	259	53	20.46%	279	47	83.15%	3	1017	1894	53.70%	1018	1893	53.78%	613	1140	53.77%	1803	1057	1741	737	1426	709