LAAHS - Golden Seals

Lake Erie Monsters
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Informations Joueurs
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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	TA	SP
1	Jonathan Toews (C)	X				100.00	65	42	85	83	75	86	95	88	97	87	84	69	90	81	88	84	75	78		0
2	Joe Pavelski (A)	X	X	X		100.00	73	43	90	75	70	80	96	82	93	74	89	68	68	83	89	83	75	75		0
3	William Karlsson	X				100.00	67	42	93	84	69	80	99	77	85	81	78	76	75	65	66	79	75	74		0
4	Max Domi	X	X			100.00	67	55	73	88	70	76	99	77	80	86	83	62	25	64	64	80	75	73		0
5	Jaden Schwartz		X	X		100.00	73	43	92	86	68	78	83	77	43	81	75	63	25	70	72	73	75	71		0
6	Tyler Toffoli	X	X	X		100.00	65	52	90	84	72	76	99	79	41	72	72	70	35	68	71	73	75	71		0
7	Ondrej Kase		X	X		100.00	67	42	97	86	68	72	65	80	37	75	81	57	75	55	56	77	75	69		0
8	Colin Wilson	X	X			100.00	71	44	95	79	80	65	78	75	39	68	71	61	42	75	77	71	76	68		0
9	Miles Wood		X	X		100.00	80	76	61	92	75	65	87	70	25	65	68	64	25	58	59	71	75	67		0
10	Ivan Barbashev	X	X			100.00	76	53	92	82	69	61	84	60	64	65	69	83	25	60	60	72	72	67		0
11	Nick Suzuki (R)	X		X		100.00	70	63	85	75	67	70	80	78	78	70	73	66	59	44	44	60	75	66		0
12	Mark Letestu	X		X		100.00	76	69	91	70	69	83	88	67	80	62	62	73	59	71	73	68	44	66		0
13	Keith Yandle (A)				X	100.00	67	42	82	88	72	86	99	92	25	80	51	67	25	81	84	69	75	74		0
14	Colton Parayko				X	100.00	81	56	93	87	88	87	98	68	25	58	52	83	45	66	67	69	75	74		0
15	Olli Maatta				X	100.00	81	45	93	86	76	76	88	65	25	57	47	88	25	65	68	66	75	73		0
16	Cody Ceci				X	100.00	81	45	91	80	76	86	95	61	25	58	48	90	25	70	71	68	75	73		0
17	Nate Schmidt				X	100.00	67	42	95	84	71	85	86	72	25	66	57	82	25	65	67	71	75	72	X	0
18	Robert Hagg				X	100.00	96	57	78	72	75	72	93	58	25	53	47	88	25	55	56	65	75	70		0
Rayé
1	Oskar Lindblom		X			100.00	71	43	91	77	71	67	96	69	33	66	77	74	25	55	56	73	52	67		0

	MOYENNE D'ÉQUIPE					100.00	73	50	88	82	73	76	90	73	50	70	68	73	42	66	68	72	72	71

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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	Patrik Rybar (R)	100.00	64	66	83	78	63	66	63	70	65	65	30	44	44	65	75	64	0
2	Angus Redmond (R)	100.00	55	46	58	75	59	56	52	59	56	55	30	44	44	55	89	56	0
Rayé
1	Andrei Vasilevskiy	HO	86	89	85	82	86	86	73	87	90	86	95	63	64	85	68	80	0

	MOYENNE D'ÉQUIPE	100.00	68	67	75	78	69	69	63	72	70	69	52	50	51	68	77	67

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Babcock	58	74	94	99	99	90	86	CAN	52	2	1,059,450$

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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	FL	FT	S1	S2	S3
1	Jonathan Toews	Golden Seals	C	82	38	68	106	1	16	0	105	167	363	113	227	10.47%	46	1666	20.32	9	21	30	33	178	0	0	0	1	6	4	3	55.56%	2221	59	23	0	0	1.27	1	7	0	0	0	6	8	5
2	Max Domi	Golden Seals	C/LW	82	43	50	93	2	65	5	148	98	345	79	192	12.46%	35	1686	20.57	9	13	22	32	175	0	0	0	3	35	8	4	48.57%	105	81	23	0	1	1.10	0	0	0	1	0	6	6	5
3	Ondrej Kase	Golden Seals	LW/RW	76	28	42	70	16	4	0	94	76	223	56	137	12.56%	23	1425	18.76	4	6	10	14	134	0	1	1	1	5	4	0	34.12%	85	57	15	0	1	0.98	2	4	0	0	0	6	5	3
4	William Karlsson	Golden Seals	C	82	25	40	65	3	13	5	97	122	248	73	151	10.08%	32	1478	18.03	5	9	14	20	146	0	0	0	6	39	3	0	53.63%	1417	54	22	1	0	0.88	2	7	1	0	0	1	4	6
5	Joe Pavelski	Golden Seals	C/LW/RW	82	24	26	50	-17	12	0	96	66	212	59	131	11.32%	27	1401	17.09	8	5	13	16	176	1	0	1	1	7	2	3	60.38%	260	42	24	0	1	0.71	0	3	0	0	0	3	6	3
6	Jaden Schwartz	Golden Seals	LW/RW	82	22	26	48	-3	10	0	103	89	231	79	115	9.52%	30	1341	16.37	3	3	6	8	98	0	0	0	1	44	2	2	31.91%	94	54	20	0	0	0.72	0	0	0	0	0	2	3	2
7	Keith Yandle	Golden Seals	D	82	8	31	39	2	22	0	68	101	153	50	60	5.23%	76	1714	20.91	5	11	16	18	206	0	0	0	1	17	1	2	0.00%	0	29	46	0	0	0.45	0	0	0	0	0	0	0	0
8	Tyler Toffoli	Golden Seals	C/LW/RW	82	15	20	35	6	20	0	59	85	205	67	117	7.32%	32	1305	15.92	0	0	0	0	7	0	1	1	4	102	5	0	31.17%	77	46	24	1	0	0.54	0	0	0	0	0	2	1	2
9	Nate Schmidt	Golden Seals	D	82	3	27	30	3	4	0	64	96	90	38	44	3.33%	87	1739	21.21	2	6	8	12	200	0	0	0	0	1	0	0	0.00%	0	24	61	0	0	0.34	0	0	0	0	0	0	1	1
10	Miles Wood	Golden Seals	LW/RW	82	14	11	25	-7	24	0	123	59	124	41	81	11.29%	17	955	11.66	0	0	0	1	5	0	0	0	0	0	3	2	31.58%	38	29	9	1	0	0.52	0	0	0	0	0	1	1	1
11	Colin Wilson	Golden Seals	C/LW	82	10	14	24	-5	5	5	48	31	135	38	63	7.41%	14	727	8.88	0	0	0	0	10	0	0	0	0	11	0	0	28.57%	49	32	12	0	0	0.66	0	0	0	0	1	1	1	1
12	Colton Parayko	Golden Seals	D	82	5	16	21	-3	8	0	121	135	101	52	51	4.95%	122	1926	23.50	2	1	3	6	123	0	1	1	0	96	2	0	0.00%	0	11	69	0	0	0.22	1	1	0	0	0	0	3	1
13	Olli Maatta	Golden Seals	D	82	0	18	18	-5	6	0	81	100	78	31	24	0.00%	113	1501	18.31	0	0	0	0	9	0	1	1	1	129	0	0	0.00%	0	9	61	0	0	0.24	0	0	0	0	0	1	0	0
14	Nick Suzuki	Golden Seals	C/RW	58	10	7	17	-7	13	5	42	37	92	23	52	10.87%	13	728	12.56	0	0	0	6	55	0	0	0	0	11	1	0	49.71%	171	23	11	0	0	0.47	0	0	0	0	1	1	0	3
15	Cody Ceci	Golden Seals	D	82	2	15	17	-14	11	5	115	112	70	37	44	2.86%	113	1790	21.84	1	1	2	1	120	0	1	1	1	90	0	0	0.00%	0	7	75	0	0	0.19	0	0	0	1	0	0	0	2
16	Oskar Lindblom	Golden Seals	LW	63	8	8	16	-15	2	0	45	37	110	33	66	7.27%	18	600	9.54	0	0	0	0	1	0	0	0	4	36	2	0	33.33%	12	26	14	0	0	0.53	0	0	0	0	0	1	0	0
17	Ivan Barbashev	Golden Seals	C/LW	81	7	8	15	1	13	5	70	75	88	26	61	7.95%	26	869	10.73	0	0	0	0	0	2	0	2	8	110	4	0	43.98%	457	29	18	0	0	0.35	0	0	0	1	0	1	2	1
18	Robert Hagg	Golden Seals	D	82	0	12	12	6	30	0	130	79	55	18	27	0.00%	79	1238	15.10	0	0	0	0	1	0	0	0	2	109	0	0	0.00%	0	5	62	0	0	0.19	0	0	0	0	0	0	0	0
19	Mark Letestu	Golden Seals	C/RW	43	2	3	5	3	7	5	33	30	33	14	19	6.06%	11	405	9.42	0	0	0	0	2	0	0	0	2	32	1	0	55.17%	87	1	6	0	0	0.25	0	0	1	0	0	0	0	0
20	Daniel Sprong	Lake Erie Monsters (CLF)	RW	6	0	1	1	1	0	0	0	4	8	3	2	0.00%	0	50	8.39	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	2	1	0	0	0.40	0	0	0	0	0	0	0	0
21	Robby Fabbri	Lake Erie Monsters (CLF)	C/LW/RW	1	0	0	0	0	0	0	0	0	0	0	2	0.00%	0	8	8.22	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0	0
22	Adam Mascherin	Lake Erie Monsters (CLF)	LW	3	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0.39	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0	0
23	Nick Cousins	Lake Erie Monsters (CLF)	C	3	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	2	0.88	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1482	264	443	707	-32	285	35	1642	1599	2964	930	1666	8.91%	914	24566	16.58	48	76	124	167	1656	3	5	8	36	889	42	16	52.22%	5073	620	596	3	3	0.58	6	22	2	3	2	32	41	36

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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	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Andrei Vasilevskiy	Golden Seals	66	37	19	10	0.915	2.77	4001	8	185	2185	1019	3	2	0.733	15	66	11	8	1	4
2	Patrik Rybar	Golden Seals	16	7	6	3	0.900	3.47	969	0	56	562	312	0	1	0.333	6	16	66	2	0	2
Stats d'équipe Total ou en Moyenne			82	44	25	13	0.912	2.91	4970	8	241	2747	1331	3	3	0.619	21	82	77	10	1	6

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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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Link
Andrei Vasilevskiy	Golden Seals	G	23	1994-07-24	No	207 Lbs	6 ft3	No	No	No	1	Pro & Farm	3,500,000$	3,500,000$	24,476$	No					Lien
Angus Redmond	Golden Seals	G	22	1995-10-03	Yes	200 Lbs	6 ft1	No	No	No	2	Pro & Farm	842,500$	842,500$	5,892$	No	842,500$				Lien
Cody Ceci	Golden Seals	D	24	1993-12-21	No	209 Lbs	6 ft2	Yes	No	No	1	Pro & Farm	4,500,000$	4,500,000$	31,469$	No					Lien
Colin Wilson	Golden Seals	C/LW	28	1989-10-20	No	221 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,600,000$	2,600,000$	18,182$	No					Lien
Colton Parayko	Golden Seals	D	25	1993-05-12	No	230 Lbs	6 ft6	No	No	No	3	Pro & Farm	5,500,000$	5,500,000$	38,462$	No	5,500,000$	5,500,000$			Lien
Ivan Barbashev	Golden Seals	C/LW	22	1995-12-14	No	187 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,475,000$	1,475,000$	10,315$	No	1,475,000$				Lien
Jaden Schwartz	Golden Seals	LW/RW	26	1992-06-25	No	190 Lbs	5 ft10	No	No	No	2	Pro & Farm	5,350,000$	5,350,000$	37,413$	No	5,350,000$				Lien
Joe Pavelski	Golden Seals	C/LW/RW	33	1984-07-11	No	195 Lbs	5 ft11	No	No	No	3	Pro & Farm	7,000,000$	7,000,000$	48,951$	No	7,000,000$	7,000,000$			Lien
Jonathan Toews	Golden Seals	C	30	1988-04-29	No	201 Lbs	6 ft2	No	No	No	1	Pro & Farm	9,890,000$	9,890,000$	69,161$	No					Lien
Keith Yandle	Golden Seals	D	31	1986-09-09	No	196 Lbs	6 ft1	Yes	No	No	2	Pro & Farm	6,350,000$	6,350,000$	44,406$	No	6,350,000$				Lien
Mark Letestu	Golden Seals	C/RW	33	1985-02-03	No	195 Lbs	5 ft10	Yes	No	No	1	Pro & Farm	700,000$	700,000$	4,895$	No					Lien
Max Domi	Golden Seals	C/LW	23	1995-03-01	No	195 Lbs	5 ft10	No	No	No	1	Pro & Farm	3,150,000$	3,150,000$	22,028$	No					Lien
Miles Wood	Golden Seals	LW/RW	22	1995-09-13	No	195 Lbs	6 ft2	No	No	No	3	Pro & Farm	2,750,000$	2,750,000$	19,231$	No	2,750,000$	2,750,000$			Lien
Nate Schmidt	Golden Seals	D	26	1991-07-16	No	194 Lbs	6 ft1	No	Yes	No	5	Pro & Farm	5,950,000$	5,950,000$	41,608$	No	5,950,000$	5,950,000$	5,950,000$	5,950,000$	Lien
Nick Suzuki	Golden Seals	C/RW	18	1999-08-10 05:49:37	Yes	201 Lbs	5 ft11	No	No	No	3	Pro & Farm	863,333$	863,333$	6,037$	No	863,333$	863,333$
Olli Maatta	Golden Seals	D	23	1994-08-24	No	206 Lbs	6 ft2	No	No	No	3	Pro & Farm	4,083,333$	4,083,333$	28,555$	No	4,083,333$	4,083,333$			Lien
Ondrej Kase	Golden Seals	LW/RW	22	1995-11-08	No	185 Lbs	6 ft0	No	No	No	2	Pro & Farm	2,600,000$	2,600,000$	18,182$	No	2,600,000$				Lien
Oskar Lindblom	Golden Seals	LW	21	1996-08-15	No	191 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	925,000$	6,469$	No	925,000$				Lien
Patrik Rybar	Golden Seals	G	24	1993-11-09	Yes	190 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	925,000$	6,469$	No					Lien
Robert Hagg	Golden Seals	D	23	1995-02-07	No	204 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,150,000$	1,150,000$	8,042$	No					Lien
Tyler Toffoli	Golden Seals	C/LW/RW	26	1992-04-23	No	197 Lbs	6 ft0	No	No	No	1	Pro & Farm	4,600,000$	4,600,000$	32,168$	No					Lien
William Karlsson	Golden Seals	C	25	1993-01-07	No	189 Lbs	6 ft1	No	No	No	5	Pro & Farm	5,900,000$	5,900,000$	41,259$	No	5,900,000$	5,900,000$	5,900,000$	5,900,000$	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	25.00	199 Lbs	6 ft1	2.09	3,663,826$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
80,604,166$	49,589,166$	32,046,666$	11,850,000$	11,850,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Max Domi	Jonathan Toews	Ondrej Kase	40	0	2	3
2	Tyler Toffoli	William Karlsson	Jaden Schwartz	30	0	2	3
3	Miles Wood	Joe Pavelski	Nick Suzuki	20	0	2	3
4	Colin Wilson	Ivan Barbashev	Mark Letestu	10	2	2	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Keith Yandle	Cody Ceci	38	0	3	2
2	Nate Schmidt	Colton Parayko	37	0	3	2
3	Olli Maatta	Robert Hagg	25	1	3	1
4	Keith Yandle	Colton Parayko	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Max Domi	Jonathan Toews	Joe Pavelski	55	1	0	4
2	Ondrej Kase	William Karlsson	Jaden Schwartz	45	1	0	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Keith Yandle	Nate Schmidt	70	0	0	5
2	Cody Ceci	Colton Parayko	30	0	1	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ivan Barbashev	Tyler Toffoli	60	1	4	0
2	William Karlsson	Mark Letestu	40	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Olli Maatta	Robert Hagg	60	1	4	0
2	Cody Ceci	Colton Parayko	40	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Ivan Barbashev	60	1	4	0	Olli Maatta	Robert Hagg	60	0	5	0
2	William Karlsson	40	1	4	0	Cody Ceci	Colton Parayko	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jonathan Toews	Max Domi	60	0	2	3
2	William Karlsson	Joe Pavelski	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Colton Parayko	Nate Schmidt	60	0	3	2
2	Keith Yandle	Cody Ceci	40	0	3	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Max Domi	Jonathan Toews	Joe Pavelski	Nate Schmidt	Keith Yandle

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Ivan Barbashev	William Karlsson	Tyler Toffoli	Colton Parayko	Cody Ceci

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Miles Wood, Nick Suzuki, Colin Wilson	Nick Suzuki, Tyler Toffoli	Jaden Schwartz

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Keith Yandle, Olli Maatta, Colton Parayko	Keith Yandle	Colton Parayko, Robert Hagg

Tirs de Pénalité
Jonathan Toews, William Karlsson, Ondrej Kase, Joe Pavelski, Nick Suzuki

Gardien
#1 : Patrik Rybar, #2 : Angus Redmond

Lignes d'Attaque Perso. en Prol.
Jonathan Toews, Max Domi, William Karlsson, Jaden Schwartz, Ondrej Kase, Tyler Toffoli, Tyler Toffoli, Joe Pavelski, Nick Suzuki, Miles Wood, Colin Wilson

Lignes de Défense Perso. en Prol.
Nate Schmidt, Colton Parayko, Keith Yandle, Cody Ceci, Olli Maatta

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	Avalanche	4	2	0	0	1	1	0	0	12	9	3	2	1	0	0	0	1	0	0	6	5	1	2	1	0	0	1	0	0	0	6	4	2	7	0.875	12	23	35	0	0	3	4	4	1	133	28	57	45	3	129	54	14	78	5	2	40.00%	7	0	100.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	83	48	90	36	70	33
2	Blackhawks	3	0	3	0	0	0	0	0	9	14	-5	1	0	1	0	0	0	0	0	3	5	-2	2	0	2	0	0	0	0	0	6	9	-3	0	0.000	9	15	24	2	0	5	2	2	0	136	62	38	36	0	98	25	10	44	8	2	25.00%	5	2	60.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	74	49	56	22	48	25
3	Blues	2	1	1	0	0	0	0	0	8	7	1	1	0	1	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	7	2	5	2	0.500	8	13	21	0	0	2	3	3	0	68	35	23	10	0	67	22	14	39	5	1	20.00%	2	0	100.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	46	28	36	16	36	18
4	Bruins	4	3	0	0	0	1	0	0	14	8	6	2	2	0	0	0	0	0	0	10	4	6	2	1	0	0	0	1	0	0	4	4	0	7	0.875	14	24	38	0	0	5	3	6	0	145	49	35	59	2	127	43	18	64	12	0	0.00%	4	1	75.00%	1	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	88	51	82	35	71	37
5	Canadiens	2	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	5	8	13	0	0	0	2	3	0	82	23	27	32	0	71	18	6	44	6	1	16.67%	3	1	66.67%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	48	30	40	16	31	15
6	Canucks	2	0	1	0	0	0	0	1	6	8	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	0	0	0	1	4	5	-1	1	0.250	6	9	15	0	0	2	2	2	0	80	24	34	19	6	60	17	2	37	9	2	22.22%	1	0	100.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	50	31	39	17	35	18
7	Capitals	4	2	0	0	1	1	0	0	15	11	4	2	2	0	0	0	0	0	0	9	5	4	2	0	0	0	1	1	0	0	6	6	0	7	0.875	15	27	42	0	0	4	4	6	1	153	64	48	39	2	146	50	32	75	9	3	33.33%	16	3	81.25%	1	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	86	52	87	36	68	33
8	Devils	4	2	2	0	0	0	0	0	9	14	-5	2	1	1	0	0	0	0	0	5	8	-3	2	1	1	0	0	0	0	0	4	6	-2	4	0.500	9	16	25	0	0	1	3	5	0	137	35	46	56	0	127	57	8	78	9	1	11.11%	4	2	50.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	86	51	87	35	66	32
9	Ducks	5	3	1	0	0	1	0	0	16	12	4	2	1	0	0	0	1	0	0	5	5	0	3	2	1	0	0	0	0	0	11	7	4	7	0.700	16	25	41	0	0	2	7	7	0	163	50	67	46	0	158	54	17	115	16	5	31.25%	6	2	66.67%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	109	65	102	43	87	44
10	Flames	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	2	3	4	1.000	10	17	27	0	0	3	4	3	0	85	17	41	27	0	82	21	4	40	7	1	14.29%	2	0	100.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	47	29	38	16	34	17
11	Flyers	2	1	1	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	1	4	-3	1	1	0	0	0	0	0	0	5	1	4	2	0.500	6	12	18	0	0	0	3	3	0	65	12	24	29	0	74	15	8	40	8	3	37.50%	4	1	75.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	42	24	43	17	34	17
12	Golden Knights	4	0	3	0	0	0	0	1	11	19	-8	3	0	2	0	0	0	0	1	8	13	-5	1	0	1	0	0	0	0	0	3	6	-3	1	0.125	11	18	29	0	0	3	5	3	0	138	44	57	37	2	155	33	14	81	10	3	30.00%	7	2	71.43%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	88	54	87	34	69	34
13	Islanders	2	1	0	0	0	1	0	0	7	7	0	1	0	0	0	0	1	0	0	3	4	-1	1	1	0	0	0	0	0	0	4	3	1	3	0.750	7	13	20	1	0	2	0	5	0	81	32	22	24	3	72	21	4	37	6	2	33.33%	2	0	100.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	45	29	40	17	34	17
14	Jets	4	2	0	0	0	0	1	1	16	10	6	2	1	0	0	0	0	1	0	9	5	4	2	1	0	0	0	0	0	1	7	5	2	7	0.875	16	26	42	0	0	9	2	4	1	158	55	60	39	9	117	37	8	109	13	5	38.46%	4	0	100.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	94	57	83	36	72	36
15	Kings	3	0	3	0	0	0	0	0	3	10	-7	2	0	2	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	3	4	7	0	0	0	3	0	0	109	31	45	33	0	101	42	8	75	3	0	0.00%	4	1	75.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	68	41	59	25	51	26
16	Lightning	3	0	1	0	0	1	0	1	8	11	-3	1	0	0	0	0	1	0	0	2	3	-1	2	0	1	0	0	0	0	1	6	8	-2	2	0.333	8	15	23	0	0	4	3	1	2	98	43	33	20	6	111	48	8	56	5	1	20.00%	4	1	75.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	68	40	66	24	54	28
17	Maple Leafs	2	0	0	0	1	0	0	1	7	7	0	1	0	0	0	1	0	0	0	5	4	1	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	7	13	20	0	0	2	2	2	1	80	32	23	20	9	66	23	4	36	9	3	33.33%	2	0	100.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	51	31	40	18	36	18
18	Maroons	2	1	1	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	6	10	16	0	0	3	2	1	0	78	21	32	25	0	57	19	8	45	6	1	16.67%	4	1	75.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	44	27	41	17	34	16
19	Nordiques	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	5	2	3	4	1.000	9	14	23	0	0	1	4	4	0	64	26	21	17	0	73	14	6	41	8	2	25.00%	3	1	66.67%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	41	23	40	18	38	19
20	Oilers	4	1	1	0	1	1	0	0	12	15	-3	2	1	0	0	0	1	0	0	7	7	0	2	0	1	0	1	0	0	0	5	8	-3	5	0.625	12	17	29	0	0	2	6	3	1	143	43	55	43	2	143	56	19	75	10	2	20.00%	7	1	85.71%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	89	54	88	34	68	33
21	Panthers	2	1	0	0	1	0	0	0	6	4	2	1	0	0	0	1	0	0	0	4	3	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	6	10	16	0	0	3	1	1	1	70	27	18	24	1	67	21	10	38	7	1	14.29%	5	0	100.00%	1	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	43	26	42	18	34	16
22	Penguins	2	1	1	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	6	9	15	0	0	3	0	3	0	72	25	25	22	0	61	26	12	30	3	0	0.00%	6	1	83.33%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	41	24	44	19	34	16
23	Rangers	3	1	2	0	0	0	0	0	6	10	-4	2	1	1	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	1	2	-1	2	0.333	6	10	16	0	0	1	3	2	0	88	27	29	32	0	107	33	17	57	4	0	0.00%	6	0	100.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	63	36	61	26	54	26
24	Red Wings	4	3	1	0	0	0	0	0	15	12	3	1	1	0	0	0	0	0	0	3	2	1	3	2	1	0	0	0	0	0	12	10	2	6	0.750	15	25	40	0	0	2	4	9	0	127	46	42	39	0	127	36	8	89	6	1	16.67%	4	1	75.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	88	53	81	34	69	34
25	Sabres	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	4	2	2	4	1.000	10	19	29	0	0	1	7	2	0	73	20	32	21	0	65	25	8	36	2	0	0.00%	4	0	100.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	45	27	41	16	33	17
26	Senateurs	2	1	0	0	1	0	0	0	9	7	2	1	1	0	0	0	0	0	0	4	3	1	1	0	0	0	1	0	0	0	5	4	1	4	1.000	9	14	23	0	0	2	5	1	1	81	22	31	27	1	72	19	6	52	9	3	33.33%	2	0	100.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	47	28	37	15	35	19
27	Sharks	2	1	0	0	0	1	0	0	7	6	1	1	0	0	0	0	1	0	0	3	4	-1	1	1	0	0	0	0	0	0	4	2	2	3	0.750	7	10	17	0	0	2	1	4	0	78	19	30	28	1	57	25	12	36	2	0	0.00%	6	1	83.33%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	43	25	42	18	36	16
28	Stars	3	3	0	0	0	0	0	0	13	5	8	2	2	0	0	0	0	0	0	11	4	7	1	1	0	0	0	0	0	0	2	1	1	6	1.000	13	20	33	0	0	6	3	4	0	111	31	35	45	0	101	36	4	61	6	2	33.33%	2	0	100.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	65	38	64	24	50	26
	Total	82	36	25	0	6	8	2	5	266	249	17	41	19	12	0	2	6	1	1	138	130	8	41	17	13	0	4	2	1	4	128	119	9	101	0.616	266	443	709	3	0	74	90	94	11	2964	958	1060	916	51	2750	914	293	1642	210	48	22.86%	128	22	82.81%	3	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	1841	1112	1713	712	1427	717
30	Wild	2	0	1	0	0	0	1	0	5	5	0	1	0	1	0	0	0	0	0	1	2	-1	1	0	0	0	0	0	1	0	4	3	1	2	0.500	5	7	12	0	0	1	2	1	2	68	15	30	22	4	59	24	4	34	7	1	14.29%	2	0	100.00%	0	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	47	28	43	16	34	17
	_Since Last GM Reset	82	36	25	0	6	8	2	5	266	249	17	41	19	12	0	2	6	1	1	138	130	8	41	17	13	0	4	2	1	4	128	119	9	101	0.616	266	443	709	3	0	74	90	94	11	2964	958	1060	916	51	2750	914	293	1642	210	48	22.86%	128	22	82.81%	3	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	1841	1112	1713	712	1427	717
	_Vs Conference	48	22	13	0	3	7	1	2	153	150	3	24	11	6	0	0	5	1	1	78	81	-3	24	11	7	0	3	2	0	1	75	69	6	61	0.635	153	255	408	1	0	38	47	64	4	1694	550	598	529	24	1603	539	191	977	113	26	23.01%	78	14	82.05%	2	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	1063	639	1012	420	836	415
	_Vs Division	29	15	4	0	3	5	1	1	94	79	15	14	9	1	0	0	3	1	0	51	39	12	15	6	3	0	3	2	0	1	43	40	3	44	0.759	94	158	252	0	0	26	29	35	4	1032	324	368	327	18	947	351	116	594	74	18	24.32%	48	9	81.25%	2	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	638	380	622	257	504	251

			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	101	W2	266	443	709	2964	2750	914	293	1642	3	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	36	25	6	8	2	5	266	249

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	19	12	2	6	1	1	138	130

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	17	13	4	2	1	4	128	119

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
210	48	22.86%	128	22	82.81%	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
958	1060	916	51	74	90	94	11

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
1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%

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
1841	1112	1713	712	1427	717

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 - 2019-10-04	11	Golden Seals	5	Jets	2	W			Sommaire du Match
2 - 2019-10-05	23	Golden Knights	5	Golden Seals	4	L	X	X	Sommaire du Match
3 - 2019-10-06	28	Golden Seals	3	Red Wings	1	W			Sommaire du Match
5 - 2019-10-08	49	Devils	3	Golden Seals	4	W			Sommaire du Match
7 - 2019-10-10	58	Golden Seals	5	Ducks	1	W			Sommaire du Match
9 - 2019-10-12	78	Golden Seals	4	Oilers	3	W	X		Sommaire du Match
10 - 2019-10-13	86	Jets	3	Golden Seals	4	W	X	X	Sommaire du Match
12 - 2019-10-15	108	Rangers	7	Golden Seals	2	L			Sommaire du Match
13 - 2019-10-16	113	Golden Seals	3	Devils	1	W			Sommaire du Match
16 - 2019-10-19	139	Kings	2	Golden Seals	1	L			Sommaire du Match
17 - 2019-10-20	154	Golden Seals	2	Maple Leafs	3	L	X	X	Sommaire du Match
19 - 2019-10-22	169	Golden Seals	4	Canucks	5	L	X	X	Sommaire du Match
20 - 2019-10-23	178	Oilers	2	Golden Seals	3	W			Sommaire du Match
22 - 2019-10-25	197	Golden Seals	5	Red Wings	2	W			Sommaire du Match
24 - 2019-10-27	208	Capitals	1	Golden Seals	3	W			Sommaire du Match
26 - 2019-10-29	224	Golden Seals	2	Capitals	3	L	X		Sommaire du Match
27 - 2019-10-30	235	Golden Seals	2	Bruins	3	L	X		Sommaire du Match
29 - 2019-11-01	251	Sabres	4	Golden Seals	6	W			Sommaire du Match
31 - 2019-11-03	267	Lightning	3	Golden Seals	2	L	X		Sommaire du Match
33 - 2019-11-05	282	Golden Seals	1	Kings	4	L			Sommaire du Match
35 - 2019-11-07	297	Avalanche	3	Golden Seals	2	L	X		Sommaire du Match
36 - 2019-11-08	318	Golden Seals	4	Sharks	2	W			Sommaire du Match
38 - 2019-11-10	328	Golden Knights	4	Golden Seals	2	L			Sommaire du Match
39 - 2019-11-11	343	Golden Seals	4	Capitals	3	W	X		Sommaire du Match
41 - 2019-11-13	358	Ducks	2	Golden Seals	1	L	X		Sommaire du Match
43 - 2019-11-15	380	Golden Knights	4	Golden Seals	2	L			Sommaire du Match
45 - 2019-11-17	396	Maroons	1	Golden Seals	5	W			Sommaire du Match
47 - 2019-11-19	410	Golden Seals	2	Stars	1	W			Sommaire du Match
49 - 2019-11-21	425	Golden Seals	5	Flyers	1	W			Sommaire du Match
50 - 2019-11-22	435	Ducks	3	Golden Seals	4	W			Sommaire du Match
51 - 2019-11-23	451	Golden Seals	2	Panthers	1	W			Sommaire du Match
53 - 2019-11-25	466	Avalanche	2	Golden Seals	4	W			Sommaire du Match
56 - 2019-11-28	486	Golden Seals	3	Golden Knights	6	L			Sommaire du Match
57 - 2019-11-29	499	Sharks	4	Golden Seals	3	L	X		Sommaire du Match
59 - 2019-12-01	514	Golden Seals	7	Blues	2	W			Sommaire du Match
61 - 2019-12-03	528	Blues	5	Golden Seals	1	L			Sommaire du Match
63 - 2019-12-05	544	Golden Seals	4	Avalanche	3	W			Sommaire du Match
64 - 2019-12-06	554	Golden Seals	2	Bruins	1	W			Sommaire du Match
66 - 2019-12-08	565	Flyers	4	Golden Seals	1	L			Sommaire du Match
68 - 2019-12-10	589	Stars	2	Golden Seals	4	W			Sommaire du Match
69 - 2019-12-11	599	Golden Seals	1	Oilers	5	L			Sommaire du Match
71 - 2019-12-13	617	Canucks	3	Golden Seals	2	L			Sommaire du Match
72 - 2019-12-14	625	Golden Seals	4	Wild	3	W	X	X	Sommaire du Match
73 - 2019-12-15	640	Golden Seals	1	Canadiens	4	L			Sommaire du Match
75 - 2019-12-17	655	Devils	5	Golden Seals	1	L			Sommaire du Match
76 - 2019-12-18	667	Golden Seals	2	Jets	3	L	X	X	Sommaire du Match
79 - 2019-12-21	690	Senateurs	3	Golden Seals	4	W			Sommaire du Match
82 - 2019-12-24	705	Golden Seals	5	Senateurs	4	W	X		Sommaire du Match
83 - 2019-12-25	716	Blackhawks	5	Golden Seals	3	L			Sommaire du Match
85 - 2019-12-27	739	Golden Seals	1	Rangers	2	L			Sommaire du Match
86 - 2019-12-28	749	Canadiens	6	Golden Seals	4	L			Sommaire du Match
88 - 2019-12-30	766	Golden Seals	5	Nordiques	2	W			Sommaire du Match
90 - 2020-01-01	777	Golden Seals	4	Sabres	2	W			Sommaire du Match
91 - 2020-01-02	789	Wild	2	Golden Seals	1	L			Sommaire du Match
93 - 2020-01-04	809	Jets	2	Golden Seals	5	W			Sommaire du Match
96 - 2020-01-07	829	Maple Leafs	4	Golden Seals	5	W	X		Sommaire du Match
97 - 2020-01-08	842	Golden Seals	2	Avalanche	1	W	X		Sommaire du Match
99 - 2020-01-10	855	Islanders	4	Golden Seals	3	L	X		Sommaire du Match
102 - 2020-01-13	874	Golden Seals	2	Ducks	3	L			Sommaire du Match
104 - 2020-01-15	888	Panthers	3	Golden Seals	4	W	X		Sommaire du Match
106 - 2020-01-17	906	Stars	2	Golden Seals	7	W			Sommaire du Match
107 - 2020-01-18	917	Golden Seals	1	Maroons	3	L			Sommaire du Match
109 - 2020-01-20	932	Golden Seals	5	Flames	2	W			Sommaire du Match
110 - 2020-01-21	940	Golden Seals	3	Lightning	4	L	X	X	Sommaire du Match
111 - 2020-01-22	957	Penguins	1	Golden Seals	5	W			Sommaire du Match
112 - 2020-01-23	967	Golden Seals	4	Islanders	3	W			Sommaire du Match
114 - 2020-01-25	986	Oilers	5	Golden Seals	4	L	X		Sommaire du Match
116 - 2020-01-27	1005	Kings	4	Golden Seals	1	L			Sommaire du Match
118 - 2020-01-29	1019	Golden Seals	3	Lightning	4	L			Sommaire du Match
119 - 2020-01-30	1031	Golden Seals	1	Devils	5	L			Sommaire du Match
121 - 2020-02-01	1046	Capitals	4	Golden Seals	6	W			Sommaire du Match
123 - 2020-02-03	1059	Golden Seals	1	Penguins	2	L			Sommaire du Match
124 - 2020-02-04	1074	Rangers	1	Golden Seals	3	W			Sommaire du Match
126 - 2020-02-06	1085	Golden Seals	4	Ducks	3	W			Sommaire du Match
128 - 2020-02-08	1104	Golden Seals	2	Blackhawks	4	L			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
129 - 2020-02-09	1114	Bruins	3	Golden Seals	6	W			Sommaire du Match
131 - 2020-02-11	1137	Bruins	1	Golden Seals	4	W			Sommaire du Match
132 - 2020-02-12	1153	Golden Seals	4	Blackhawks	5	L			Sommaire du Match
134 - 2020-02-14	1167	Nordiques	2	Golden Seals	4	W			Sommaire du Match
137 - 2020-02-17	1190	Golden Seals	4	Red Wings	7	L			Sommaire du Match
138 - 2020-02-18	1198	Flames	4	Golden Seals	5	W			Sommaire du Match
141 - 2020-02-21	1225	Red Wings	2	Golden Seals	3	W			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	6000	5000	2000	4000	1000
Prix des Billets	60	35	16	10	100
Assistance	244,898	204,113	81,958	164,000	40,927
Attendance PCT	99.55%	99.57%	99.95%	100.00%	99.82%

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	17949 - 99.71%	1,049,609$	43,033,976$	18000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
79,907,768$	80,604,166$	68,904,166$	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
80,604,166$	79,907,768$	0$	21	1

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	1	571,074$	571,074$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
571,074$	82,389,616$	26,836,021$	26,264,947$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Joe Pavelski	AGE:33	PO:83	OV:75
Max Domi	AGE:23	PO:80	OV:73
Jaden Schwartz	AGE:26	PO:73	OV:71
Tyler Toffoli	AGE:26	PO:73	OV:71
Ondrej Kase	AGE:22	PO:77	OV:69
Colin Wilson	AGE:28	PO:71	OV:68
Oskar Lindblom	AGE:21	PO:73	OV:67
Ivan Barbashev	AGE:22	PO:72	OV:67
Miles Wood	AGE:22	PO:71	OV:67
Matt Puempel	AGE:25	PO:68	OV:65
Barclay Goodrow	AGE:25	PO:65	OV:64
*Adam Mascherin	AGE:20	PO:65	OV:62
Marko Dano	AGE:23	PO:63	OV:61
Robby Fabbri	AGE:22	PO:62	OV:59
Turner Elson	AGE:25	PO:61	OV:57
Hunter Shinkaruk	AGE:23	PO:55	OV:55
Brendan Woods	AGE:26	PO:55	OV:54
*Brandon Baddock	AGE:23	PO:52	OV:54
Julien Nantel	AGE:21	PO:53	OV:53

Jonathan Toews	AGE:30	PO:84	OV:78
Joe Pavelski	AGE:33	PO:83	OV:75
William Karlsson	AGE:25	PO:79	OV:74
Max Domi	AGE:23	PO:80	OV:73
Tyler Toffoli	AGE:26	PO:73	OV:71
Colin Wilson	AGE:28	PO:71	OV:68
Ivan Barbashev	AGE:22	PO:72	OV:67
Mark Letestu	AGE:33	PO:68	OV:66
*Nick Suzuki	AGE:18	PO:60	OV:66
Nick Cousins	AGE:24	PO:66	OV:64
Barclay Goodrow	AGE:25	PO:65	OV:64
Andrew Agozzino	AGE:27	PO:63	OV:60
Robby Fabbri	AGE:22	PO:62	OV:59
*Ryan Olsen	AGE:24	PO:60	OV:58
Mitch Hults	AGE:23	PO:58	OV:57
Chase Balisy	AGE:26	PO:56	OV:57
Brendan Woods	AGE:26	PO:55	OV:54
Julien Nantel	AGE:21	PO:53	OV:53

Joe Pavelski	AGE:33	PO:83	OV:75
Jaden Schwartz	AGE:26	PO:73	OV:71
Tyler Toffoli	AGE:26	PO:73	OV:71
Ondrej Kase	AGE:22	PO:77	OV:69
Miles Wood	AGE:22	PO:71	OV:67
Mark Letestu	AGE:33	PO:68	OV:66
*Nick Suzuki	AGE:18	PO:60	OV:66
Daniel Sprong	AGE:21	PO:69	OV:64
Barclay Goodrow	AGE:25	PO:65	OV:64
Marko Dano	AGE:23	PO:63	OV:61
Ryan Haggerty	AGE:25	PO:65	OV:60
Robby Fabbri	AGE:22	PO:62	OV:59
JC Lipon	AGE:24	PO:58	OV:57

Défense #1

Défense #2

Gardien

Keith Yandle	AGE:31	PO:69	OV:74
Colton Parayko	AGE:25	PO:69	OV:74
Cody Ceci	AGE:24	PO:68	OV:73
Olli Maatta	AGE:23	PO:66	OV:73
Nate Schmidt	AGE:26	PO:71	OV:72
Robert Hagg	AGE:23	PO:65	OV:70

Joe Hicketts	AGE:22	PO:63	OV:67
Mitchell Vande Sompel	AGE:21	PO:57	OV:59
Kurtis MacDermid	AGE:24	PO:57	OV:59
Frederic Allard	AGE:20	PO:54	OV:59
Maxim Lamarche	AGE:25	PO:54	OV:58
Dysin Mayo	AGE:21	PO:51	OV:58

Andrei Vasilevskiy	AGE:23	PO:85	OV:80
*Patrik Rybar	AGE:24	PO:65	OV:64
Jeremy Smith	AGE:29	PO:56	OV:56
*Angus Redmond	AGE:22	PO:55	OV:56
Anthony Peters	AGE:27	PO:52	OV:53

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
Albin Grewe	Golden Seals	2019	47
Arvid Costmar	Golden Seals	2019	206
Blake Murray	Golden Seals	2019	116
Bobby Brink	Golden Seals	2019	26
Cody Franson	Golden Seals
Dane Birks	Golden Seals	2013	164
Daniil Tarasov	Golden Seals	2017	100
Danila Zhuravlyov	Golden Seals	2018	100
Dominic Basse	Golden Seals	2019	146
GIORGIO ESTEPHAN	Golden Seals	2015	145
Henri Nikkanen	Golden Seals	2019	86
Jacob Friend	Golden Seals	2016	210
Jacob Ingham	Golden Seals	2018	172
Jamie Phillips	Golden Seals
Jan Drozg	Golden Seals	2017	130
Jason Robertson	Golden Seals	2017	30
Jeremiah Addison	Golden Seals
Jeremy Morin	Golden Seals
Jonatan Berggren	Golden Seals	2018	22
Jordan Hollett	Golden Seals	2017	190
Leon Gawanke	Golden Seals	2017	160
Liam Kirk	Golden Seals	2018	134
Lukas Elvenes	Golden Seals	2017	70
Mathias From	Golden Seals	2016	120
Matias Mantykivi	Golden Seals	2019	176
Matt MacKenzie	Golden Seals
Matthew Robertson	Golden Seals	2019	43
Michael Schumacher	Golden Seals
Mike Fisher	Golden Seals
Mikko Kokkonen	Golden Seals	2019	60
Niklas Nordgren	Golden Seals	2018	34
Oskar Steen	Golden Seals	2016	130
Patrick Harper	Golden Seals	2016	180
Peter Quenneville	Golden Seals	2013	195
RYAN BEDNARD	Golden Seals	2015	205
Ryan Suzuki	Golden Seals	2019	24
Taylor Cammarata	Golden Seals	2013	74
Terrance Amorosa	Golden Seals	2013	134
Thomas Harley	Golden Seals	2019	17
Toni Utunen	Golden Seals	2018	108
Tyler Soy	Golden Seals	2016	150
Tyler Tucker	Golden Seals	2018	202
Vincent Dunn	Golden Seals
William Bitten	Golden Seals	2016	55
Zachary Gallant	Golden Seals	2017	106

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
2020	CLF	CLF	CLF	CLF	CLF	CLF	CLF	CLF
2021	CLF	CLF	CLF	CLF	CLF	CLF	CLF	CLF
2022	CLF	CLF	CLF	CLF	CLF	CLF	CLF	CLF
2023	CLF	CLF	CLF	CLF	CLF	CLF	CLF	CLF
2024	CLF	CLF	CLF	CLF	CLF	CLF	CLF	CLF

[2019-11-30 11:51:20] - Nick Suzuki was added to Golden Seals.
[2019-10-20 13:44:37] - Robby Fabbri has been selected as assistant for Lake Erie Monsters.
[2019-10-20 13:44:37] - Unknown Player is no longer as assistant for Lake Erie Monsters.
[2019-10-20 13:44:37] - Nick Cousins has been selected as assistant for Lake Erie Monsters.
[2019-10-20 13:44:37] - Unknown Player is no longer as assistant for Lake Erie Monsters.
[2019-10-20 13:44:37] - Barclay Goodrow has been selected as captain for Lake Erie Monsters.
[2019-10-20 13:44:37] - Unknown Player is no longer captain for Lake Erie Monsters.
[2019-10-20 13:44:37] - Keith Yandle has been selected as assistant for Golden Seals.
[2019-10-20 13:44:37] - Joe Pavelski is no longer as assistant for Golden Seals.
[2019-10-20 13:44:37] - Joe Pavelski has been selected as assistant for Golden Seals.
[2019-10-20 13:44:37] - Unknown Player is no longer as assistant for Golden Seals.
[2019-10-07 17:29:28] - Jeremy Smith signed with Golden Seals for 500 000 $ for 1 year(s) / Option : No Trade.
[2019-10-07 17:29:28] - Jeremy Smith was added to Golden Seals.
[2019-09-05 20:11:17] - Ivan Barbashev signed with Golden Seals for 1 475 000 $ for 2 year(s).
[2019-09-05 20:11:17] - Ivan Barbashev was added to Golden Seals.

[2020-04-14 17:33:51] Lake Erie Monsters lines for next game are empty. Current rosters/lines are not erased. But, Golden Seals lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-14 17:26:39] Successfully loaded Golden Seals lines done with STHS Client - 3.2.1.1
[2020-04-14 17:26:39] Angus Redmond of Golden Seals was sent to pro.
[2020-04-13 16:34:26] Andrei Vasilevskiy from Golden Seals suspended for 99 game(s)
[2020-04-11 10:12:56] 30 000 000 $ was added to Golden Seals bank account.
[2020-04-11 10:12:48] Current fund for Golden Seals is under 0 $.
[2020-04-11 10:12:27] Current fund for Golden Seals is under 0 $.
[2020-04-08 17:06:52] Current fund for Golden Seals is under 0 $.
[2020-04-08 17:06:21] Current fund for Golden Seals is under 0 $.
[2020-04-06 17:00:36] Successfully loaded Golden Seals lines done with STHS Client - 3.2.1.1
[2020-04-03 21:46:50] Lake Erie Monsters lines for next game are empty. Current rosters/lines are not erased.

Andrei Vasilevskiy est suspendu indéfiniement.

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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	36	25	0	6	8	2	5	266	249	17	41	19	12	0	2	6	1	1	138	130	8	41	17	13	0	4	2	1	4	128	119	9	101	266	443	709	3	0	74	90	94	11	2964	958	1060	916	51	2750	914	293	1642	210	48	22.86%	128	22	82.81%	3	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	1841	1112	1713	712	1427	717
Total Saison Régulière	82	36	25	0	6	8	2	5	266	249	17	41	19	12	0	2	6	1	1	138	130	8	41	17	13	0	4	2	1	4	128	119	9	101	266	443	709	3	0	74	90	94	11	2964	958	1060	916	51	2750	914	293	1642	210	48	22.86%	128	22	82.81%	3	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	1841	1112	1713	712	1427	717