LHSIR - Penguins

Penguins
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Informations Joueurs
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Statistiques d'Équipe
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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	Cedric Paquette	X	X			100.00	94	46	80	82	72	64	88	58	85	64	60	82	53	69	73	69	47	0	0
2	Brandon Gignac	X	X			100.00	69	63	84	63	63	66	69	55	69	55	48	62	46	55	55	57	50	0	0
3	Blake Lizotte (R)	X				100.00	67	41	90	81	59	66	69	69	82	71	59	69	25	51	51	67	50	0	0
4	Kirby Dach (R)	X				100.00	65	42	88	84	75	67	82	71	49	68	64	60	75	51	51	68	50	0	0
5	Denis Malgin	X		X		100.00	71	42	89	84	62	61	64	66	52	64	59	55	25	63	63	63	50	0	0
6	Evgeny Svechnikov (R)		X	X		100.00	75	79	67	68	79	52	51	58	50	54	58	63	55	44	44	60	50	0	0
7	Sammy Blais (R)		X			100.00	99	47	85	87	76	63	66	66	25	64	68	61	25	47	47	70	50	0	0
8	Josh Archibald			X		100.00	92	45	93	70	63	64	82	59	25	62	71	85	25	60	60	73	50	0	0
9	Matthew Phillips	X		X		100.00	65	53	94	64	53	68	69	65	80	62	65	60	62	44	44	65	50	0	0
10	Max Comtois (R)		X			100.00	86	90	77	78	78	66	67	73	32	66	70	61	75	46	46	70	50	0	0
11	Max Jones		X			100.00	79	44	82	73	76	67	87	63	38	57	66	66	25	55	55	67	50	0	0
12	Michael Rasmussen	X				100.00	84	85	83	68	85	66	67	62	78	61	58	70	55	51	51	64	50	0	0
13	Jesper Boqvist (R)		X			100.00	76	43	92	86	63	57	70	66	35	50	60	61	75	47	47	64	50	0	0
14	Nikolay Goldobin		X	X		100.00	74	67	91	81	67	73	75	69	50	68	65	68	62	55	55	69	50	0	0
15	Fabian Zetterlund (R)			X		100.00	77	70	94	67	70	57	58	56	50	52	56	64	53	44	44	60	50	0	0
16	Cal Foote				X	100.00	83	83	82	61	83	78	85	52	25	48	42	66	40	44	44	56	50	0	0
17	Luca Sbisa				X	100.00	86	59	76	77	77	74	51	59	25	53	48	82	25	72	74	63	50	0	0
18	Josh Mahura				X	100.00	59	40	93	66	65	69	72	71	25	50	50	60	25	46	46	59	50	0	0
19	Libor Hajek				X	100.00	73	43	87	67	75	68	74	57	25	53	47	82	25	47	47	62	50	0	0
Rayé
1	Ivan Chekhovich (R)		X			100.00	75	66	95	61	66	69	74	50	50	49	47	61	45	44	44	55	50	0	0
2	Isaac Ratcliffe (R)		X			100.00	79	79	79	67	79	70	76	50	50	47	48	63	46	44	44	57	50	0	0
3	Martin Pospisil (R)	X				100.00	61	69	42	63	69	57	58	54	68	54	50	55	48	44	44	53	50	0	0
4	Simon Holmstrom (R)			X		100.00	76	68	95	64	68	57	58	54	50	47	56	63	53	44	44	59	50	0	0
5	Guillaume Brisebois				X	100.00	70	67	78	68	67	65	70	49	25	41	41	60	39	51	51	53	50	0	0
6	Olli Juolevi				X	100.00	74	69	84	68	69	54	54	54	25	54	40	62	38	44	44	54	50	0	0
7	Sean Day				X	100.00	82	84	77	53	84	51	53	48	25	39	41	64	39	44	44	51	50	0	0
8	Simon Benoit				X	100.00	75	73	80	64	73	70	76	50	25	44	41	61	39	44	44	54	50	0	0
9	Samuel Morin (R)				X	100.00	80	79	81	69	79	36	35	41	25	28	39	61	37	44	44	48	50	0	0

	MOYENNE D'ÉQUIPE					100.00	77	62	84	71	71	63	68	59	44	54	54	65	44	50	50	61	50	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	Kaapo Kahkonen	100.00	69	69	86	84	68	77	70	76	78	76	30	44	44	72	50	0	0
2	Tristan Jarry	100.00	84	74	71	76	89	78	78	82	88	84	75	52	52	81	50	0	0
Rayé
1	Michael Dipietro (R)	100.00	59	67	84	73	58	61	53	62	57	56	30	44	44	59	50	0	0
2	Jon Gillies	100.00	58	67	84	91	57	61	54	62	57	56	30	45	45	59	50	0	0

	MOYENNE D'ÉQUIPE	100.00	68	69	81	81	68	69	64	71	70	68	41	46	46	68	50	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Marc Crawford	81	76	84	83	87	81	59	CAN	61	3	5,000,000$

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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	PKS	PKM	GW	GT	FO%	FOT	P/20	FT	S1	S2	S3
1	Luca Sbisa	Penguins (PIT)	D	7	3	5	8	1	13	5	18	6	7	1	7	42.86%	5	138	19.75	2	3	5	5	28	1	31	0	0	0.00%	0	1.16	1	1	1	1
2	Max Jones	Penguins (PIT)	LW	7	4	4	8	5	4	0	7	6	14	4	11	28.57%	4	98	14.03	0	0	0	1	1	0	11	0	0	50.00%	2	1.63	0	2	0	0
3	Blake Lizotte	Penguins (PIT)	C	7	2	5	7	4	0	0	2	13	18	2	9	11.11%	2	91	13.11	0	1	1	0	2	0	2	1	0	49.28%	69	1.53	0	0	1	1
4	Cedric Paquette	Penguins (PIT)	C/LW	7	2	3	5	0	4	0	4	20	14	4	5	14.29%	6	141	20.20	1	3	4	5	29	0	43	1	0	54.12%	194	0.71	0	0	1	0
5	Matthew Phillips	Penguins (PIT)	C/RW	7	1	4	5	4	4	0	2	8	11	2	8	9.09%	2	86	12.34	0	0	0	0	0	0	0	0	1	50.00%	4	1.16	0	0	0	1
6	Nikolay Goldobin	Penguins (PIT)	LW/RW	7	3	2	5	4	2	0	5	10	12	3	9	25.00%	2	95	13.70	2	0	2	5	25	0	0	1	0	33.33%	6	1.04	0	1	2	0
7	Kirby Dach	Penguins (PIT)	C	7	1	3	4	3	6	0	1	9	10	2	11	10.00%	1	96	13.72	0	2	2	4	25	0	0	0	0	48.78%	82	0.83	0	0	1	0
8	Max Comtois	Penguins (PIT)	LW	7	2	2	4	3	10	0	9	6	14	4	13	14.29%	2	123	17.58	0	1	1	6	27	0	24	1	0	14.29%	7	0.65	0	1	0	0
9	Cal Foote	Penguins (PIT)	D	7	1	2	3	3	18	0	20	4	3	2	5	33.33%	4	134	19.24	1	1	2	2	25	0	35	1	0	0.00%	0	0.45	0	0	0	1
10	Sammy Blais	Penguins (PIT)	LW	7	1	2	3	0	8	0	10	4	6	3	7	16.67%	0	117	16.83	0	1	1	3	25	0	26	0	0	23.81%	21	0.51	0	0	0	0
11	Josh Archibald	Penguins (PIT)	RW	7	1	2	3	0	2	0	6	9	17	5	10	5.88%	2	141	20.24	1	1	2	7	29	1	43	1	0	36.36%	11	0.42	0	0	0	0
12	Michael Rasmussen	Penguins (PIT)	C	7	0	1	1	2	4	0	4	7	3	3	5	0.00%	4	70	10.12	0	0	0	0	0	0	19	0	0	54.39%	57	0.28	0	0	0	0
13	Jesper Boqvist	Penguins (PIT)	LW	7	0	1	1	1	2	0	0	4	8	2	10	0.00%	0	49	7.05	0	0	0	0	0	0	0	0	0	0.00%	2	0.40	0	0	0	0
14	Fabian Zetterlund	Penguins (PIT)	RW	7	1	0	1	1	6	0	1	5	4	2	2	25.00%	3	49	7.05	0	0	0	0	0	0	0	0	0	0.00%	2	0.41	0	0	0	0
15	Libor Hajek	Penguins (PIT)	D	7	0	0	0	1	6	0	4	4	5	0	1	0.00%	5	141	20.27	0	0	0	3	28	0	33	0	0	0.00%	0	0.00	0	0	0	0
Stats d'équipe Total ou en Moyenne				105	22	36	58	32	89	5	93	115	146	39	113	15.07%	42	1576	15.02	7	13	20	41	251	2	272	6	1	49.23%	457	0.74	1	5	6	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 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	Tristan Jarry	Penguins (PIT)	7	6	1	0	0.928	1.29	419	0	1	9	125	0	1	0	0.000	0	7	0	1	0	0
Stats d'équipe Total ou en Moyenne			7	6	1	0	0.928	1.29	419	0	1	9	125	0	1	0	0.000	0	7	0	1	0	0

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Blake Lizotte	Penguins (PIT)	C	22	1997-12-12	Yes	172 Lbs	5 ft7	No	No	No	3	Pro & Farm	2,072,472$	207,247$	1,491,667$	149,167$	0$	0$	No	1,491,667$	1,491,667$		Lien
Brandon Gignac	Penguins (PIT)	C/LW	22	1997-11-07	No	173 Lbs	5 ft11	No	No	No	2	Pro & Farm	975,000$	97,500$	450,000$	45,000$	0$	0$	No	975,000$			Lien
Cal Foote	Penguins (PIT)	D	21	1998-12-13	No	220 Lbs	6 ft4	No	No	No	2	Pro & Farm	1,425,000$	142,500$	450,000$	45,000$	0$	0$	No	1,425,000$			Lien
Cedric Paquette	Penguins (PIT)	C/LW	26	1993-08-13	No	198 Lbs	6 ft1	No	No	No	1	Pro & Farm	812,500$	81,250$	812,500$	81,250$	0$	0$	No				Lien
Denis Malgin	Penguins (PIT)	C/RW	23	1997-01-18	No	177 Lbs	5 ft9	No	No	No	1	Pro & Farm	693,333$	69,333$	693,333$	69,333$	0$	0$	No				Lien
Evgeny Svechnikov	Penguins (PIT)	LW/RW	23	1996-10-31	Yes	212 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,075,833$	107,583$	1,075,833$	107,583$	0$	0$	No				Lien
Fabian Zetterlund	Penguins (PIT)	RW	20	1999-08-25	Yes	196 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,000,000$	100,000$	1,000,000$	100,000$	0$	0$	No				Lien
Guillaume Brisebois	Penguins (PIT)	D	22	1997-07-21	No	175 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,000,000$	100,000$	1,000,000$	100,000$	0$	0$	No				Lien
Isaac Ratcliffe	Penguins (PIT)	LW	21	1999-02-15	Yes	201 Lbs	6 ft6	No	No	No	3	Pro & Farm	863,333$	86,333$	863,333$	86,333$	0$	0$	No	863,333$	863,333$
Ivan Chekhovich	Penguins (PIT)	LW	21	1999-01-04	Yes	185 Lbs	5 ft10	No	No	No	3	Pro & Farm	903,333$	90,333$	903,333$	90,333$	0$	0$	No	903,333$	903,333$
Jesper Boqvist	Penguins (PIT)	LW	21	1998-10-30	Yes	174 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	92,500$	925,000$	92,500$	0$	0$	No	925,000$	925,000$
Jon Gillies	Penguins (PIT)	G	26	1994-01-21	No	223 Lbs	6 ft6	No	No	No	4	Pro & Farm	750,000$	75,000$	750,000$	75,000$	0$	0$	No	750,000$	750,000$	750,000$	Lien
Josh Archibald	Penguins (PIT)	RW	27	1992-10-06	No	176 Lbs	5 ft10	No	No	No	2	Pro & Farm	675,000$	67,500$	675,000$	67,500$	0$	0$	No	675,000$			Lien
Josh Mahura	Penguins (PIT)	D	22	1998-05-05	No	178 Lbs	6 ft0	No	No	No	3	Pro & Farm	910,833$	91,083$	910,833$	91,083$	0$	0$	No	910,833$	910,833$		Lien
Kaapo Kahkonen	Penguins (PIT)	G	23	1996-08-16	No	223 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	92,500$	925,000$	92,500$	0$	0$	No	925,000$	925,000$		Lien
Kirby Dach	Penguins (PIT)	C	19	2001-01-20	Yes	198 Lbs	6 ft4	No	No	No	3	Pro & Farm	3,425,000$	342,500$	3,425,000$	342,500$	0$	0$	No	3,425,000$	3,425,000$
Libor Hajek	Penguins (PIT)	D	22	1998-02-03	No	202 Lbs	6 ft2	No	No	No	2	Pro & Farm	894,166$	89,417$	450,000$	45,000$	0$	0$	No	894,166$			Lien
Luca Sbisa (Contrat à 1 Volet)	Penguins (PIT)	D	30	1990-01-30	No	209 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,500,000$	150,000$	1,500,000$	150,000$	150,000$	15,000$	No				Lien
Martin Pospisil	Penguins (PIT)	C	20	1999-11-19	Yes	183 Lbs	6 ft2	No	No	No	3	Pro & Farm	810,000$	81,000$	810,000$	81,000$	0$	0$	No	810,000$	810,000$
Matthew Phillips	Penguins (PIT)	C/RW	22	1998-04-06	No	154 Lbs	5 ft7	No	No	No	3	Pro & Farm	750,000$	75,000$	750,000$	75,000$	0$	0$	No	750,000$	750,000$		Lien
Max Comtois	Penguins (PIT)	LW	21	1999-01-08	Yes	207 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	92,500$	450,000$	45,000$	0$	0$	No	925,000$			Lien
Max Jones	Penguins (PIT)	LW	22	1998-02-16	No	203 Lbs	6 ft3	No	No	No	2	Pro & Farm	863,333$	86,333$	450,000$	45,000$	0$	0$	No	863,333$			Lien
Michael Dipietro	Penguins (PIT)	G	21	1999-06-09	Yes	200 Lbs	6 ft0	No	No	No	3	Pro & Farm	910,833$	91,083$	910,833$	91,083$	0$	0$	No	910,833$	910,833$
Michael Rasmussen	Penguins (PIT)	C	21	1999-04-17	No	220 Lbs	6 ft6	No	No	No	2	Pro & Farm	1,710,833$	171,083$	450,000$	45,000$	0$	0$	No	1,710,833$			Lien
Nikolay Goldobin	Penguins (PIT)	LW/RW	24	1995-10-07	No	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	1,075,833$	107,583$	1,075,833$	107,583$	0$	0$	No	1,075,833$			Lien
Olli Juolevi	Penguins (PIT)	D	22	1998-05-04	No	182 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,913,333$	191,333$	450,000$	45,000$	0$	0$	No	1,913,333$			Lien
Sammy Blais	Penguins (PIT)	LW	24	1996-06-17	Yes	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	725,833$	72,583$	725,833$	72,583$	0$	0$	No				Lien
Samuel Morin	Penguins (PIT)	D	24	1995-07-12	Yes	203 Lbs	6 ft6	No	No	No	1	Pro & Farm	1,363,333$	136,333$	1,363,333$	136,333$	0$	0$	No				Lien
Sean Day	Penguins (PIT)	D	22	1998-01-08	No	231 Lbs	6 ft2	No	No	No	2	Pro & Farm	975,000$	97,500$	450,000$	45,000$	0$	0$	No	975,000$			Lien
Simon Benoit	Penguins (PIT)	D	21	1998-09-19	No	192 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,000,000$	100,000$	1,000,000$	100,000$	0$	0$	No				Lien
Simon Holmstrom	Penguins (PIT)	RW	19	2001-05-24	Yes	183 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	92,500$	925,000$	92,500$	0$	0$	No	925,000$	925,000$
Tristan Jarry	Penguins (PIT)	G	25	1995-04-25	No	194 Lbs	6 ft2	No	No	No	1	Pro & Farm	675,000$	67,500$	450,000$	45,000$	0$	0$	No				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
32	22.47	195 Lbs	6 ft1	2.09	1,107,785$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Sammy Blais	Cedric Paquette	Josh Archibald	35	1	1	3
2	Max Comtois	Kirby Dach	Nikolay Goldobin	30	0	2	3
3	Max Jones	Blake Lizotte	Matthew Phillips	25	1	2	2
4	Jesper Boqvist	Michael Rasmussen	Fabian Zetterlund	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Luca Sbisa	Libor Hajek	35	1	2	2
2	Cal Foote		30	1	2	2
3			25	1	2	2
4	Luca Sbisa	Libor Hajek	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Max Comtois	Cedric Paquette	Josh Archibald	60	0	0	5
2	Sammy Blais	Kirby Dach	Nikolay Goldobin	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Luca Sbisa	Libor Hajek	60	1	2	2
2	Cal Foote		40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Cedric Paquette	Josh Archibald	60	1	2	2
2	Sammy Blais	Max Comtois	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Luca Sbisa	Libor Hajek	60	1	2	2
2	Cal Foote		40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Cedric Paquette	60	1	2	2	Luca Sbisa	Libor Hajek	60	1	2	2
2	Josh Archibald	40	1	2	2	Cal Foote		40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Cedric Paquette	Josh Archibald	60	1	2	2
2	Sammy Blais	Max Comtois	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Luca Sbisa	Libor Hajek	60	1	2	2
2	Cal Foote		40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Sammy Blais	Cedric Paquette	Josh Archibald	Luca Sbisa	Libor Hajek

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Sammy Blais	Cedric Paquette	Josh Archibald	Luca Sbisa	Libor Hajek

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Blake Lizotte, Max Jones, Michael Rasmussen	Blake Lizotte, Max Jones	Michael Rasmussen

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, , Cal Foote		, Cal Foote

Tirs de Pénalité
Cedric Paquette, Josh Archibald, Sammy Blais, Max Comtois, Kirby Dach

Gardien
#1 : Tristan Jarry, #2 : Kaapo Kahkonen

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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	Monarchs	4	3	1	0	0	0	0	0	14	6	8	2	2	0	0	0	0	0	0	7	2	5	2	1	1	0	0	0	0	0	7	4	3	6	0.750	14	22	36	0	0	5	7	10	0	85	44	52	50	0	72	33	77	69	20	4	20.00%	36	1	97.22%	0	91	174	52.30%	85	186	45.70%	49	97	50.52%	164	117	175	51	79	37
2	Sound Tigers	3	3	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	3	2	1	2	2	0	0	0	0	0	0	5	1	4	6	1.000	8	14	22	0	1	5	7	10	0	61	44	52	50	0	53	16	32	46	17	3	17.65%	16	2	87.50%	0	91	174	52.30%	85	186	45.70%	49	97	50.52%	164	117	175	51	79	37
	Total	7	6	1	0	0	0	0	0	22	9	13	3	3	0	0	0	0	0	0	10	4	6	4	3	1	0	0	0	0	0	12	5	7	12	0.857	22	36	58	0	1	5	7	10	0	146	44	52	50	0	125	49	109	115	37	7	18.92%	52	3	94.23%	0	91	174	52.30%	85	186	45.70%	49	97	50.52%	164	117	175	51	79	37
	_Since Last GM Reset	7	6	1	0	0	0	0	0	22	9	13	3	3	0	0	0	0	0	0	10	4	6	4	3	1	0	0	0	0	0	12	5	7	12	0.857	22	36	58	0	1	5	7	10	0	146	44	52	50	0	125	49	109	115	37	7	18.92%	52	3	94.23%	0	91	174	52.30%	85	186	45.70%	49	97	50.52%	164	117	175	51	79	37
	_Vs Conference	7	6	1	0	0	0	0	0	22	9	13	3	3	0	0	0	0	0	0	10	4	6	4	3	1	0	0	0	0	0	12	5	7	12	0.857	22	36	58	0	1	5	7	10	0	146	44	52	50	0	125	49	109	115	37	7	18.92%	52	3	94.23%	0	91	174	52.30%	85	186	45.70%	49	97	50.52%	164	117	175	51	79	37
	_Vs Division	4	3	1	0	0	0	0	0	14	6	8	2	2	0	0	0	0	0	0	7	2	5	2	1	1	0	0	0	0	0	7	4	3	6	0.750	14	22	36	0	0	5	7	10	0	85	44	52	50	0	72	33	77	69	20	4	20.00%	36	1	97.22%	0	91	174	52.30%	85	186	45.70%	49	97	50.52%	164	117	175	51	79	37

			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
7	12	W6	22	36	58	146	125	49	109	115	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	6	1	0	0	0	0	22	9

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	3	0	0	0	0	0	10	4

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	12	5

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	1	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
37	7	18.92%	52	3	94.23%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
44	52	50	0	5	7	10	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
91	174	52.30%	85	186	45.70%	49	97	50.52%

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
164	117	175	51	79	37

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	Lien
1 - 2020-06-22	3	Penguins	2	Monarchs	3	L	Sommaire du Match
2 - 2020-06-23	7	Penguins	5	Monarchs	1	W	Sommaire du Match
3 - 2020-06-24	11	Monarchs	1	Penguins	5	W	Sommaire du Match
4 - 2020-06-25	15	Monarchs	1	Penguins	2	W	Sommaire du Match
6 - 2020-06-27	22	Penguins	3	Sound Tigers	1	W	Sommaire du Match
7 - 2020-06-28	24	Penguins	2	Sound Tigers	0	W	Sommaire du Match
8 - 2020-06-29	26	Sound Tigers	2	Penguins	3	W	Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
-3	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	3,394,910$	2,706,164$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	1	0$	0$

Afficher ou Masquer des Colonnes

	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
2020	7	6	1	0	0	0	0	0	22	9	13	3	3	0	0	0	0	0	0	10	4	6	4	3	1	0	0	0	0	0	12	5	7	12	22	36	58	0	1	5	7	10	0	146	44	52	50	0	125	49	109	115	37	7	18.92%	52	3	94.23%	0	91	174	52.30%	85	186	45.70%	49	97	50.52%	164	117	175	51	79	37
Total Séries	7	6	1	0	0	0	0	0	22	9	13	3	3	0	0	0	0	0	0	10	4	6	4	3	1	0	0	0	0	0	12	5	7	12	22	36	58	0	1	5	7	10	0	146	44	52	50	0	125	49	109	115	37	7	18.92%	52	3	94.23%	0	91	174	52.30%	85	186	45.70%	49	97	50.52%	164	117	175	51	79	37