LHSIR - Penguins

Penguins
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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	David Kampf	X	X	X		100.00	69	43	96	76	72	65	84	61	84	60	60	85	75	63	63	68	45	0	0	25	1	925,000$
2	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	22	3	2,072,472$
3	Kirby Dach (R)	X				100.00	65	42	88	84	75	67	82	71	49	68	64	60	75	51	51	68	46	0	0	19	3	3,425,000$
4	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	23	1	693,333$
5	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	23	1	1,075,833$
6	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	24	1	725,833$
7	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	22	3	750,000$
8	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	21	2	925,000$
9	Max Jones		X			100.00	79	44	82	73	76	67	87	63	38	57	66	66	25	55	55	67	50	0	0	22	2	863,333$
10	Michael Rasmussen	X				100.00	84	85	83	68	85	66	67	62	78	61	58	70	55	51	51	64	50	0	0	21	2	1,710,833$
11	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	21	3	925,000$
12	Nikolay Goldobin		X	X		100.00	74	67	91	81	67	73	75	69	50	68	65	68	62	55	55	69	44	0	0	24	2	1,075,833$
13	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	21	3	863,333$
14	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	19	3	925,000$
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	20	1	1,000,000$
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	21	2	1,425,000$
17	Josh Mahura				X	100.00	59	40	93	66	65	69	72	71	25	50	50	60	25	46	46	59	50	0	0	22	3	910,833$
18	Libor Hajek				X	100.00	73	43	87	67	75	68	74	57	25	53	47	82	25	47	47	62	50	0	0	22	2	894,166$
19	Olli Juolevi				X	100.00	74	69	84	68	69	54	54	54	25	54	40	62	38	44	44	54	50	0	0	22	2	1,913,333$
Rayé
1	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	22	2	975,000$
2	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	21	3	903,333$
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	20	3	810,000$
4	Guillaume Brisebois				X	100.00	70	67	78	68	67	65	70	49	25	41	41	60	39	51	51	53	50	0	0	22	1	1,000,000$
5	Sean Day				X	100.00	82	84	77	53	84	51	53	48	25	39	41	64	39	44	44	51	50	0	0	22	2	975,000$
6	Simon Benoit				X	100.00	75	73	80	64	73	70	76	50	25	44	41	61	39	44	44	54	50	0	0	21	1	1,000,000$
7	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	24	1	1,363,333$

	MOYENNE D'ÉQUIPE					100.00	75	63	84	70	71	63	68	59	46	54	54	64	46	48	48	61	49	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	46	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	49	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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Max Comtois	Penguins (PIT)	LW	44	14	19	33	7	66	10	128	45	87	24	72	16.09%	8	810	18.43	6	7	13	30	193	0	0	0	0	139	4	1	34.15%	205	0	0.81	0	0	0	1	1	5	4	3
2	Max Jones	Penguins (PIT)	LW	44	14	14	28	19	26	0	56	54	64	20	64	21.87%	8	565	12.84	0	0	0	2	11	1	0	1	1	51	3	1	33.33%	42	1	0.99	0	0	0	0	0	4	5	1
3	Denis Malgin	Penguins (PIT)	C/RW	44	8	19	27	24	12	0	22	58	49	12	27	16.33%	3	612	13.91	0	2	2	4	68	0	0	0	1	66	2	0	44.82%	299	0	0.88	0	0	0	0	0	1	2	4
4	Sammy Blais	Penguins (PIT)	LW	44	9	17	26	11	75	5	115	53	63	29	62	14.29%	8	846	19.24	2	3	5	14	185	0	1	1	5	186	1	0	27.54%	69	0	0.61	0	2	1	0	0	2	2	2
5	Libor Hajek	Penguins (PIT)	D	44	2	21	23	11	52	0	96	41	42	10	25	4.76%	53	975	22.18	0	6	6	28	197	0	2	2	0	199	0	0	0.00%	0	0	0.47	0	0	0	0	0	1	1	3
6	Matthew Phillips	Penguins (PIT)	C/RW	43	8	15	23	12	10	0	14	40	57	23	31	14.04%	3	487	11.33	0	2	2	5	25	0	0	0	0	0	2	0	48.15%	27	0	0.94	0	0	0	0	0	2	2	1
7	David Kampf	Penguins (PIT)	C/LW/RW	37	10	11	21	8	0	0	5	75	80	18	50	12.50%	13	674	18.23	5	2	7	23	156	0	0	0	3	121	3	1	69.10%	233	0	0.62	0	1	0	0	0	0	4	1
8	Kirby Dach	Penguins (PIT)	C	42	5	16	21	4	4	0	8	78	69	15	50	7.25%	4	881	20.98	0	7	7	9	180	0	0	0	3	226	1	0	45.43%	951	0	0.48	1	2	0	0	0	0	1	2
9	Nikolay Goldobin	Penguins (PIT)	LW/RW	38	10	10	20	10	10	0	23	60	60	19	40	16.67%	4	599	15.77	3	3	6	20	177	0	0	0	0	26	2	0	43.90%	41	0	0.67	0	0	0	0	0	2	2	2
10	Blake Lizotte	Penguins (PIT)	C	40	5	12	17	6	4	0	11	97	48	16	38	10.42%	3	583	14.58	0	5	5	14	146	0	0	0	0	15	3	0	59.65%	575	0	0.58	0	0	0	0	0	0	0	3
11	Cal Foote	Penguins (PIT)	D	44	4	11	15	6	98	10	117	25	24	6	14	16.67%	31	935	21.27	3	3	6	16	191	0	0	0	2	194	0	0	0.00%	0	0	0.32	0	0	0	0	2	0	1	0
12	Josh Mahura	Penguins (PIT)	D	38	7	4	11	7	12	0	26	9	22	6	10	31.82%	21	852	22.44	5	1	6	17	172	0	0	0	0	183	2	0	0.00%	0	0	0.26	0	0	0	0	0	0	1	2
13	Michael Rasmussen	Penguins (PIT)	C	44	5	6	11	-7	33	5	31	54	39	15	41	12.82%	6	412	9.38	0	0	0	0	1	0	0	0	0	0	1	0	60.70%	313	0	0.53	0	0	0	0	1	1	0	1
14	Evgeny Svechnikov	Penguins (PIT)	LW/RW	38	5	3	8	1	41	5	38	31	28	13	14	17.86%	7	356	9.39	0	0	0	0	0	0	0	0	0	0	2	0	60.00%	10	0	0.45	0	0	0	0	0	1	1	1
15	Luca Sbisa	Penguins	D	6	1	4	5	6	12	0	13	3	6	3	4	16.67%	5	136	22.67	0	0	0	5	26	1	0	1	1	31	0	0	0.00%	0	0	0.74	0	0	0	0	0	0	0	0
16	Cedric Paquette	Penguins	C/LW	6	2	2	4	3	4	0	16	16	18	4	10	11.11%	3	121	20.30	0	0	0	3	24	0	0	0	1	35	0	0	65.56%	151	0	0.66	0	0	0	0	0	1	0	1
17	Simon Benoit	Penguins (PIT)	D	20	1	3	4	4	34	0	23	1	2	1	6	50.00%	14	314	15.71	0	0	0	0	20	0	0	0	0	30	0	0	0.00%	0	0	0.25	0	0	0	0	0	0	0	1
18	Olli Juolevi	Penguins (PIT)	D	20	1	2	3	2	20	0	15	8	9	6	3	11.11%	13	395	19.79	1	1	2	5	72	0	0	0	0	84	0	0	0.00%	0	0	0.15	0	0	0	0	0	0	0	0
19	Jesper Boqvist	Penguins (PIT)	LW	14	0	3	3	1	14	0	16	8	7	2	3	0.00%	8	210	15.02	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0.29	0	0	0	0	0	0	0	0
20	Fabian Zetterlund	Penguins (PIT)	RW	38	1	2	3	3	12	0	10	15	31	6	18	3.23%	5	260	6.87	0	0	0	0	8	0	0	0	0	9	0	0	54.17%	24	0	0.23	0	0	0	0	0	0	0	0
21	Sean Day	Penguins (PIT)	D	20	1	1	2	3	30	10	36	8	4	1	1	25.00%	10	311	15.59	0	0	0	0	7	0	0	0	0	47	1	0	0.00%	0	0	0.13	0	0	1	0	1	1	0	0
22	Ivan Chekhovich	Penguins (PIT)	LW	3	0	1	1	2	0	0	0	0	0	0	1	0.00%	0	21	7.33	0	0	0	0	0	0	0	0	0	10	0	0	100.00%	2	0	0.91	0	0	0	0	0	0	0	0
23	Samuel Morin	Penguins (PIT)	D	3	0	1	1	4	2	0	3	1	1	0	0	0.00%	3	49	16.44	0	0	0	1	3	0	0	0	0	6	0	0	0.00%	0	0	0.41	0	0	0	0	0	0	0	0
24	Brandon Gignac	Penguins (PIT)	C/LW	6	0	0	0	0	0	0	2	2	2	1	2	0.00%	0	30	5.11	0	0	0	0	0	0	0	0	0	0	0	0	27.27%	22	0	0.00	0	0	0	0	0	0	0	0
25	Guillaume Brisebois	Penguins (PIT)	D	14	0	0	0	-2	20	0	12	7	6	1	1	0.00%	11	293	20.97	0	0	0	3	61	0	0	0	0	59	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
26	Isaac Ratcliffe	Penguins (PIT)	LW	27	0	0	0	-4	8	0	5	2	5	1	5	0.00%	4	118	4.37	0	0	0	0	8	0	0	0	1	43	0	0	14.29%	7	0	0.00	0	0	0	0	0	0	0	0
27	Simon Holmstrom	Penguins (PIT)	RW	14	0	0	0	0	0	0	3	2	4	0	3	0.00%	3	70	5.06	0	0	0	2	8	0	0	0	0	6	0	0	44.44%	9	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				775	113	197	310	141	599	45	844	793	827	252	595	13.66%	251	11928	15.39	25	42	67	201	1950	2	3	5	18	1776	27	3	51.17%	2980	1	0.52	1	5	2	1	5	21	26	28

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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	A	PSA	ST	BG	S1	S2	S3
1	Tristan Jarry	Penguins (PIT)	32	22	8	2	0.921	1.54	1912	2	8	49	621	1	2	32	0	5	2	2
2	Kaapo Kahkonen	Penguins (PIT)	9	3	5	0	0.882	2.38	453	0	0	18	152	1	0	8	34	0	1	0
3	Michael Dipietro	Penguins (PIT)	1	0	0	0	0.800	3.53	17	0	0	1	5	0	0	0	6	0	0	0
Stats d'équipe Total ou en Moyenne			42	25	13	2	0.913	1.71	2383	2	8	68	778	2	2	40	40	5	3	2

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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$	919,242$	1,491,667$	661,626$	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$	432,460$	450,000$	199,597$	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$	632,056$	450,000$	199,597$	0$	0$	No	1,425,000$			Lien
David Kampf	Penguins (PIT)	C/LW/RW	25	1995-01-12	No	191 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	410,282$	925,000$	410,282$	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$	307,527$	693,333$	307,527$	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$	477,184$	1,075,833$	477,184$	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$	443,548$	1,000,000$	443,548$	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$	443,548$	1,000,000$	443,548$	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$	382,930$	863,333$	382,930$	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$	400,672$	903,333$	400,672$	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$	410,282$	925,000$	410,282$	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$	332,661$	750,000$	332,661$	0$	0$	No	750,000$	750,000$	750,000$	Lien
Josh Mahura	Penguins (PIT)	D	22	1998-05-05	No	178 Lbs	6 ft0	No	No	No	3	Pro & Farm	910,833$	403,999$	910,833$	403,999$	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$	410,282$	925,000$	410,282$	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$	1,519,153$	3,425,000$	1,519,153$	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$	396,606$	450,000$	199,597$	0$	0$	No	894,166$			Lien
Martin Pospisil	Penguins (PIT)	C	20	1999-11-19	Yes	183 Lbs	6 ft2	No	No	No	3	Pro & Farm	810,000$	359,274$	810,000$	359,274$	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$	332,661$	750,000$	332,661$	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$	410,282$	450,000$	199,597$	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$	382,930$	450,000$	199,597$	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$	403,999$	910,833$	403,999$	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$	758,837$	450,000$	199,597$	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$	477,184$	1,075,833$	477,184$	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$	848,656$	450,000$	199,597$	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$	321,942$	725,833$	321,942$	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$	604,704$	1,363,333$	604,704$	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$	432,460$	450,000$	199,597$	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$	443,548$	1,000,000$	443,548$	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$	410,282$	925,000$	410,282$	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$	299,395$	450,000$	199,597$	0$	0$	No				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
30	22.03	195 Lbs	6 ft1	2.13	1,112,888$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Sammy Blais	David Kampf	Nikolay Goldobin	35	0	0	5
2	Max Comtois	Kirby Dach	Denis Malgin	30	0	0	5
3	Max Jones	Blake Lizotte	Matthew Phillips	25	1	1	3
4	Jesper Boqvist	Michael Rasmussen	Evgeny Svechnikov	10	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Libor Hajek	Josh Mahura	35	1	2	2
2	Cal Foote	Olli Juolevi	30	1	2	2
3	Michael Rasmussen	Jesper Boqvist	25	1	2	2
4	Libor Hajek	Josh Mahura	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Sammy Blais	David Kampf	Nikolay Goldobin	60	0	0	5
2	Max Comtois	Kirby Dach	Denis Malgin	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Libor Hajek	Josh Mahura	60	0	0	5
2	Cal Foote	Olli Juolevi	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	David Kampf	Sammy Blais	60	1	2	2
2	Nikolay Goldobin	Kirby Dach	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Libor Hajek	Josh Mahura	60	1	2	2
2	Cal Foote	Olli Juolevi	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	David Kampf	60	1	2	2	Libor Hajek	Josh Mahura	60	1	2	2
2	Sammy Blais	40	1	2	2	Cal Foote	Olli Juolevi	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	David Kampf	Sammy Blais	60	1	2	2
2	Nikolay Goldobin	Kirby Dach	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Libor Hajek	Josh Mahura	60	1	2	2
2	Cal Foote	Olli Juolevi	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Sammy Blais	David Kampf	Nikolay Goldobin	Libor Hajek	Josh Mahura

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Sammy Blais	David Kampf	Nikolay Goldobin	Libor Hajek	Josh Mahura

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Fabian Zetterlund, Simon Holmstrom, Isaac Ratcliffe	Fabian Zetterlund, Simon Holmstrom	Isaac Ratcliffe

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Cal Foote, Olli Juolevi, Libor Hajek	Cal Foote	Olli Juolevi, Libor Hajek

Tirs de Pénalité
David Kampf, Sammy Blais, Nikolay Goldobin, Kirby Dach, Max Comtois

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	Flames	1	1	0	0	0	0	0	0	1	0	1	1	1	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	1	2	3	0	1	32	51	30	1	15	269	281	284	8	13	7	6	25	7	0	0.00%	3	0	100.00%	0	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
2	Griffins	1	1	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	6	1	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	12	18	0	0	32	51	30	1	23	269	281	284	8	23	9	23	22	6	1	16.67%	8	1	87.50%	0	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
3	IceHogs	2	0	1	0	0	1	0	0	5	7	-2	1	0	0	0	0	1	0	0	2	3	-1	1	0	1	0	0	0	0	0	3	4	-1	1	0.250	5	10	15	0	0	32	51	30	1	43	269	281	284	8	57	15	30	55	8	1	12.50%	14	1	92.86%	0	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
4	Marlies	2	1	1	0	0	0	0	0	4	4	0	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	3	2	1	2	0.500	4	5	9	0	0	32	51	30	1	34	269	281	284	8	37	20	30	36	8	0	0.00%	14	1	92.86%	0	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
5	Monarchs	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	3	5	8	0	0	32	51	30	1	31	269	281	284	8	44	13	24	34	11	2	18.18%	12	1	91.67%	0	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
6	Monsters	6	4	2	0	0	0	0	0	17	5	12	4	2	2	0	0	0	0	0	11	5	6	2	2	0	0	0	0	0	0	6	0	6	8	0.667	17	30	47	0	3	32	51	30	1	111	269	281	284	8	85	16	72	107	39	4	10.26%	33	1	96.97%	0	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
7	Moose	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	0	32	51	30	1	13	269	281	284	8	19	3	24	18	6	1	16.67%	11	1	90.91%	0	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
8	Phantoms	4	3	1	0	0	0	0	0	7	5	2	2	2	0	0	0	0	0	0	6	1	5	2	1	1	0	0	0	0	0	1	4	-3	6	0.750	7	13	20	0	2	32	51	30	1	76	269	281	284	8	61	22	65	72	29	2	6.90%	24	2	91.67%	0	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
9	Rampage	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	2	1	1	4	1.000	7	13	20	0	0	32	51	30	1	54	269	281	284	8	39	14	27	35	7	1	14.29%	10	0	100.00%	0	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
10	Rocket	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	0	2	2	1.000	2	4	6	0	1	32	51	30	1	11	269	281	284	8	14	4	8	13	7	1	14.29%	4	0	100.00%	0	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
11	Senators	2	2	0	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	7	3	4	4	1.000	7	14	21	0	0	32	51	30	1	45	269	281	284	8	30	9	23	44	5	0	0.00%	8	1	87.50%	0	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
12	Sharks	1	0	1	0	0	0	0	0	0	3	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	3	-3	0	0.000	0	0	0	0	0	32	51	30	1	12	269	281	284	8	19	6	14	25	4	0	0.00%	7	1	85.71%	0	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
13	Soldiers	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	11	18	0	0	32	51	30	1	26	269	281	284	8	51	14	34	41	13	4	30.77%	15	3	80.00%	1	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
14	Sound Tigers	12	7	4	0	0	0	1	0	34	23	11	5	5	0	0	0	0	0	0	19	9	10	7	2	4	0	0	0	1	0	15	14	1	16	0.667	34	59	93	0	1	32	51	30	1	253	269	281	284	8	268	78	192	231	63	4	6.35%	85	6	92.94%	1	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
15	Stars	1	1	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1	0	1	2	1.000	1	2	3	0	1	32	51	30	1	25	269	281	284	8	18	6	10	22	3	0	0.00%	5	0	100.00%	0	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
	Total	44	27	14	0	0	1	1	1	114	79	35	22	16	5	0	0	1	0	0	68	38	30	22	11	9	0	0	0	1	1	46	41	5	58	0.659	114	204	318	0	9	32	51	30	1	837	269	281	284	8	870	265	637	872	242	25	10.33%	278	23	91.73%	2	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
16	Wolf Pack	3	1	1	0	0	0	0	1	8	9	-1	2	1	1	0	0	0	0	0	6	6	0	1	0	0	0	0	0	0	1	2	3	-1	3	0.500	8	14	22	0	0	32	51	30	1	48	269	281	284	8	73	21	36	72	18	2	11.11%	18	3	83.33%	0	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
17	Wolves	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	32	51	30	1	17	269	281	284	8	19	8	19	20	8	2	25.00%	7	1	85.71%	0	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
	_Since Last GM Reset	44	27	14	0	0	1	1	1	114	79	35	22	16	5	0	0	1	0	0	68	38	30	22	11	9	0	0	0	1	1	46	41	5	58	0.659	114	204	318	0	9	32	51	30	1	837	269	281	284	8	870	265	637	872	242	25	10.33%	278	23	91.73%	2	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
	_Vs Conference	19	13	5	0	0	0	0	1	46	26	20	10	6	4	0	0	0	0	0	25	14	11	9	7	1	0	0	0	0	1	21	12	9	27	0.711	46	82	128	0	7	32	51	30	1	340	269	281	284	8	313	99	240	369	113	9	7.96%	104	8	92.31%	0	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257
	_Vs Division	25	9	4	0	0	0	0	1	66	42	24	13	6	3	0	0	0	0	0	42	21	21	12	3	1	0	0	0	0	1	24	21	3	19	0.380	66	116	182	0	6	32	51	30	1	488	269	281	284	8	487	137	365	482	149	12	8.05%	160	12	92.50%	1	614	1162	52.84%	653	1286	50.78%	277	587	47.19%	1096	772	1040	318	517	257

			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
44	58	L1	114	204	318	837	870	265	637	872	0	9

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
44	27	14	0	1	1	1	114	79

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	16	5	0	1	0	0	68	38

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	11	9	0	0	1	1	46	41

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
242	25	10.33%	278	23	91.73%	2

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
269	281	284	8	32	51	30	1

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
614	1162	52.84%	653	1286	50.78%	277	587	47.19%

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
1096	772	1040	318	517	257

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	Lien
1 - 2020-09-27	5	Penguins	1	Sound Tigers	2	L			Sommaire du Match
2 - 2020-09-28	14	Sound Tigers	2	Penguins	3	W			Sommaire du Match
4 - 2020-09-30	29	Penguins	1	Sound Tigers	2	L			Sommaire du Match
5 - 2020-10-01	40	Sound Tigers	1	Penguins	5	W			Sommaire du Match
7 - 2020-10-03	54	Wolf Pack	5	Penguins	3	L			Sommaire du Match
9 - 2020-10-05	65	Penguins	1	Sound Tigers	2	L			Sommaire du Match
10 - 2020-10-06	73	Monsters	1	Penguins	0	L			Sommaire du Match
12 - 2020-10-08	86	Penguins	1	Stars	0	W			Sommaire du Match
14 - 2020-10-10	94	Penguins	0	Sound Tigers	3	L			Sommaire du Match
16 - 2020-10-12	103	Sound Tigers	3	Penguins	4	W			Sommaire du Match
18 - 2020-10-14	114	Phantoms	0	Penguins	3	W			Sommaire du Match
20 - 2020-10-16	124	Penguins	3	Monsters	0	W			Sommaire du Match
21 - 2020-10-17	134	Penguins	2	Wolf Pack	3	L	X	X	Sommaire du Match
23 - 2020-10-19	149	Phantoms	1	Penguins	3	W			Sommaire du Match
24 - 2020-10-20	158	Penguins	6	Sound Tigers	2	W			Sommaire du Match
25 - 2020-10-21	167	Sound Tigers	3	Penguins	6	W			Sommaire du Match
27 - 2020-10-23	184	Penguins	3	Marlies	2	W			Sommaire du Match
28 - 2020-10-24	191	IceHogs	3	Penguins	2	L	X		Sommaire du Match
30 - 2020-10-26	205	Marlies	2	Penguins	1	L			Sommaire du Match
32 - 2020-10-28	217	Penguins	0	Sharks	3	L			Sommaire du Match
34 - 2020-10-30	227	Penguins	4	Senators	1	W			Sommaire du Match
37 - 2020-11-02	238	Monsters	0	Penguins	2	W			Sommaire du Match
38 - 2020-11-03	248	Monsters	1	Penguins	7	W			Sommaire du Match
40 - 2020-11-05	255	Penguins	3	Sound Tigers	1	W			Sommaire du Match
43 - 2020-11-08	273	Griffins	1	Penguins	6	W			Sommaire du Match
45 - 2020-11-10	291	Moose	1	Penguins	2	W			Sommaire du Match
47 - 2020-11-12	308	Penguins	2	Rampage	1	W			Sommaire du Match
48 - 2020-11-13	310	Penguins	0	Phantoms	4	L			Sommaire du Match
49 - 2020-11-14	318	Wolf Pack	1	Penguins	3	W			Sommaire du Match
50 - 2020-11-15	332	Penguins	1	Phantoms	0	W			Sommaire du Match
51 - 2020-11-16	336	Monsters	3	Penguins	2	L			Sommaire du Match
53 - 2020-11-18	352	Penguins	2	Rocket	0	W			Sommaire du Match
54 - 2020-11-19	361	Flames	0	Penguins	1	W			Sommaire du Match
55 - 2020-11-20	375	Penguins	3	IceHogs	4	L			Sommaire du Match
56 - 2020-11-21	384	Sound Tigers	0	Penguins	1	W			Sommaire du Match
57 - 2020-11-22	396	Penguins	3	Soldiers	5	L			Sommaire du Match
58 - 2020-11-23	402	Soldiers	1	Penguins	4	W			Sommaire du Match
60 - 2020-11-25	415	Penguins	3	Sound Tigers	2	W	X	X	Sommaire du Match
61 - 2020-11-26	426	Penguins	3	Monsters	0	W			Sommaire du Match
63 - 2020-11-28	435	Rampage	2	Penguins	5	W			Sommaire du Match
64 - 2020-11-29	448	Monarchs	5	Penguins	2	L			Sommaire du Match
66 - 2020-12-01	460	Penguins	3	Senators	2	W			Sommaire du Match
67 - 2020-12-02	472	Wolves	2	Penguins	3	W			Sommaire du Match
68 - 2020-12-03	484	Penguins	1	Monarchs	2	L			Sommaire du Match
70 - 2020-12-05	495	Wolves	-	Penguins	-
71 - 2020-12-06	501	Penguins	-	Wolves	-
72 - 2020-12-07	515	Senators	-	Penguins	-
74 - 2020-12-09	527	Penguins	-	Phantoms	-
75 - 2020-12-10	539	Stars	-	Penguins	-
76 - 2020-12-11	541	Penguins	-	Wolf Pack	-
78 - 2020-12-13	559	Crunch	-	Penguins	-
79 - 2020-12-14	570	Rocket	-	Penguins	-
80 - 2020-12-15	578	Penguins	-	Crunch	-
82 - 2020-12-17	591	Penguins	-	Phantoms	-
84 - 2020-12-19	599	Griffins	-	Penguins	-
85 - 2020-12-20	610	Penguins	-	Marlies	-
86 - 2020-12-21	618	Penguins	-	Wolf Pack	-
88 - 2020-12-23	631	Crunch	-	Penguins	-
90 - 2020-12-25	645	Marlies	-	Penguins	-
91 - 2020-12-26	654	Penguins	-	Admirals	-
93 - 2020-12-28	667	Senators	-	Penguins	-
94 - 2020-12-29	676	Penguins	-	Griffins	-
95 - 2020-12-30	688	Penguins	-	Condors	-
96 - 2020-12-31	699	Admirals	-	Penguins	-
97 - 2021-01-01	710	Penguins	-	Rocket	-
99 - 2021-01-03	720	Condors	-	Penguins	-
101 - 2021-01-05	734	Sharks	-	Penguins	-
102 - 2021-01-06	747	Penguins	-	Monsters	-
103 - 2021-01-07	754	Wolf Pack	-	Penguins	-
104 - 2021-01-08	765	Penguins	-	Wolf Pack	-
105 - 2021-01-09	776	Wolf Pack	-	Penguins	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
107 - 2021-01-11	788	Penguins	-	Wolves	-
108 - 2021-01-12	793	Penguins	-	Monsters	-
109 - 2021-01-13	803	Penguins	-	Bruins	-
110 - 2021-01-14	810	Penguins	-	Flames	-
112 - 2021-01-16	823	Sound Tigers	-	Penguins	-
113 - 2021-01-17	833	Bruins	-	Penguins	-
115 - 2021-01-19	848	Phantoms	-	Penguins	-
117 - 2021-01-21	865	Penguins	-	Moose	-
118 - 2021-01-22	875	Bruins	-	Penguins	-
119 - 2021-01-23	880	Penguins	-	Wolves	-
121 - 2021-01-25	891	Phantoms	-	Penguins	-

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
19	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
4,636,219$	3,338,660$	2,649,914$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	1,853,994$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	55	67,247$	3,698,585$

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