LAAHS - Jets

Milwaukee Admirals
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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	Nathan MacKinnon (C)	X		X		100.00	69	43	87	97	74	89	95	97	82	96	94	55	84	68	69	87	47	80		0
2	James van Riemsdyk		X			100.00	65	43	91	78	80	74	91	81	52	74	85	57	56	75	78	78	52	71		0
3	Alex Galchenyuk	X	X	X		99.00	73	43	86	86	75	72	94	84	64	75	73	52	60	71	73	75	50	70	X	0
4	Colton Sissons	X		X		99.00	80	54	90	79	74	73	95	68	89	64	72	87	25	65	67	76	43	70		0
5	Victor Olofsson (R)		X	X		100.00	72	63	93	75	63	75	80	85	50	80	85	64	64	47	47	58	55	70		0
6	Troy Brouwer			X		100.00	89	69	82	73	81	63	93	61	38	61	70	76	57	79	84	72	49	68		0
7	Wayne Simmonds (A)		X	X		98.00	82	67	66	77	71	70	94	79	32	65	69	57	61	79	82	72	49	68		0
8	Zach Aston-Reese	X	X	X		100.00	97	78	82	77	74	66	73	60	40	65	69	86	25	47	48	74	40	66		0
9	Filip Chytil	X	X	X		100.00	63	41	96	82	66	66	82	70	45	62	73	61	25	59	59	68	39	64		0
10	Brett Ritchie			X		100.00	89	87	70	77	82	55	79	63	31	56	58	68	25	64	65	64	49	63		0
11	Mike Sgarbossa (R)	X				100.00	67	68	66	65	68	82	87	66	80	62	66	61	63	44	44	66	77	62		0
12	Josh Morrissey				X	100.00	73	43	91	86	71	86	87	72	25	71	50	86	25	60	61	69	46	73		0
13	Jonathan Ericsson				X	100.00	84	57	81	71	83	72	84	56	25	44	48	87	25	75	79	62	50	70		0
14	Mark Pysyk				X	100.00	84	45	88	80	74	75	93	59	25	52	47	81	25	65	65	63	39	69		0
15	Thomas Hickey				X	100.00	75	56	77	80	69	76	73	62	25	50	47	87	75	68	69	63	18	69		0
16	Nate Prosser				X	100.00	76	44	95	69	76	54	67	60	25	40	47	73	25	66	68	58	44	63		0
Rayé
1	Martin Hanzal	X				84.75	91	88	99	74	88	47	48	47	59	38	44	76	42	75	77	56	35	58		0
2	Josh Manson				X	96.00	90	60	76	82	79	85	94	60	25	53	47	92	25	65	66	67	48	73		0
3	Matt Hunwick				X	100.00	63	42	90	75	72	69	52	56	25	52	47	69	25	71	72	58	26	62		0

	MOYENNE D'ÉQUIPE					98.74	78	57	85	78	75	71	82	68	44	61	63	72	43	65	67	68	45	68

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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	TA	SP
1	Craig Anderson	100.00	67	84	83	73	65	69	47	68	71	67	78	75	77	67	44	67	X	2
Rayé
1	MacKenzie Blackwood	HO	75	70	86	90	78	71	66	76	84	75	95	46	46	74	52	72		0
2	Jonathan Bernier	100.00	64	66	66	67	64	64	55	65	73	65	68	66	67	65	20	64		0

	MOYENNE D'ÉQUIPE	100.00	69	73	78	77	69	68	56	70	76	69	80	62	63	69	39	68

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Rob Brind'Amour	90	91	77	90	66	64	80	CAN	45	3	3,500,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Nathan MacKinnon	Jets	C/RW	63	25	43	68	-12	19	5	105	113	283	93	176	8.83%	21	1407	22.34	5	11	16	31	150	0	0	0	4	95	4	1	51.33%	1886	73	22	0	0.97	0	6	0	0	1	4	5	5
2	James van Riemsdyk	Jets	LW	74	26	29	55	-13	33	5	100	81	280	95	174	9.29%	40	1613	21.80	6	9	15	34	156	0	0	0	4	111	3	1	41.09%	202	62	30	0	0.68	2	8	1	0	0	2	1	4
3	Victor Olofsson	Jets	LW/RW	64	23	27	50	-17	40	20	87	57	202	72	145	11.39%	32	1179	18.44	5	8	13	17	124	0	0	0	2	41	3	1	41.46%	82	47	18	0	0.85	5	6	2	0	2	3	4	1
4	Alex Galchenyuk	Jets	C/LW/RW	72	26	23	49	-8	18	0	96	90	266	79	165	9.77%	18	1276	17.74	4	5	9	19	132	1	1	2	7	63	2	2	49.10%	332	60	15	0	0.77	1	2	0	0	0	4	3	2
5	Colton Sissons	Jets	C/RW	79	19	29	48	5	21	5	114	146	180	49	98	10.56%	47	1499	18.98	5	7	12	15	129	1	1	2	3	120	0	3	55.82%	971	38	28	0	0.64	0	4	0	1	0	5	2	1
6	Wayne Simmonds	Jets	LW/RW	78	23	25	48	-2	65	5	126	79	229	81	152	10.04%	29	1352	17.34	6	5	11	23	128	0	0	0	2	37	4	2	38.16%	76	31	23	0	0.71	0	3	1	0	0	3	3	2
7	Zach Aston-Reese	Jets	C/LW/RW	79	17	20	37	-11	32	0	137	123	119	53	95	14.29%	26	1250	15.82	1	6	7	4	54	1	0	1	2	82	2	2	30.12%	664	31	24	0	0.59	1	3	0	0	0	1	1	3
8	Josh Morrissey	Jets	D	80	11	24	35	-19	31	5	89	140	127	61	65	8.66%	134	2049	25.62	3	4	7	19	205	0	0	0	1	154	1	1	0.00%	0	22	58	0	0.34	0	2	0	1	0	2	3	0
9	Filip Chytil	Jets	C/LW/RW	71	17	18	35	-6	4	0	47	51	172	51	98	9.88%	28	894	12.59	1	3	4	1	18	0	0	0	0	20	4	0	35.64%	202	55	10	0	0.78	1	1	0	0	0	0	3	1
10	Troy Brouwer	Jets	RW	82	8	27	35	-2	38	0	144	93	131	46	74	6.11%	23	1278	15.60	0	4	4	7	85	1	1	2	4	76	0	0	33.33%	57	24	27	1	0.55	1	2	0	0	0	0	1	1
11	Josh Manson	Jets	D	78	6	28	34	-32	68	10	169	125	106	51	34	5.66%	110	1891	24.25	5	5	10	15	158	0	0	0	1	152	1	1	0.00%	0	9	72	0	0.36	0	1	1	0	1	0	3	3
12	Janne Kuokkanen	Milwaukee Admirals (WIN)	C/LW/RW	56	5	20	25	-1	2	0	45	40	84	31	68	5.95%	17	664	11.87	1	1	2	5	29	0	1	1	2	35	0	0	46.34%	82	28	9	0	0.75	1	3	0	0	0	1	1	0
13	Jonathan Ericsson	Jets	D	82	4	13	17	4	45	5	89	133	76	33	21	5.26%	79	1552	18.93	2	0	2	3	104	0	0	0	2	145	1	0	0.00%	0	5	49	0	0.22	0	1	0	0	1	1	0	3
14	Mark Pysyk	Jets	D	80	2	13	15	2	14	0	112	128	82	38	37	2.44%	105	1666	20.83	0	0	0	3	90	0	0	0	1	156	0	0	0.00%	0	14	67	0	0.18	0	0	0	0	0	0	1	0
15	Brett Ritchie	Jets	RW	77	7	4	11	-12	31	5	105	55	85	32	39	8.24%	21	750	9.75	0	0	0	0	1	0	0	0	0	9	1	1	29.63%	27	18	15	0	0.29	0	1	1	0	0	0	0	0
16	Nate Prosser	Jets	D	80	0	9	9	-11	12	0	48	71	37	24	24	0.00%	53	1119	14.00	0	3	3	2	64	0	0	0	1	61	0	0	0.00%	0	7	27	0	0.16	0	1	0	0	0	0	0	0
17	Thomas Hickey	Jets	D	66	0	9	9	15	29	5	82	77	42	20	22	0.00%	74	1045	15.85	0	0	0	2	59	0	0	0	0	23	0	0	0.00%	0	9	40	0	0.17	0	2	0	0	1	0	0	0
18	Matt Hunwick	Jets	D	68	0	8	8	-2	18	0	31	76	31	12	21	0.00%	49	941	13.84	0	0	0	1	36	0	0	0	0	60	0	0	0.00%	0	6	31	0	0.17	0	0	0	0	0	0	0	0
19	Troy Terry	Milwaukee Admirals (WIN)	C/RW	30	3	4	7	-1	2	0	16	15	48	21	35	6.25%	10	309	10.30	0	0	0	0	0	0	0	0	0	8	1	0	16.67%	24	10	3	0	0.45	0	0	0	0	0	0	1	0
20	Martin Hanzal	Jets	C	75	0	5	5	-10	5	5	36	52	17	4	8	0.00%	10	463	6.18	0	0	0	0	3	0	0	0	2	34	0	0	44.69%	179	5	6	0	0.22	0	2	0	0	1	0	0	0
21	Mike Sgarbossa	Jets	C	32	2	2	4	-2	20	10	27	13	32	15	15	6.25%	3	239	7.48	0	0	0	0	2	0	0	0	0	8	0	0	54.44%	90	11	4	0	0.33	0	1	2	0	0	1	0	0
22	Matt Luff	Milwaukee Admirals (WIN)	RW	11	1	2	3	2	6	0	5	3	9	4	6	11.11%	3	76	6.92	0	0	0	0	0	0	0	0	0	0	0	0	25.00%	4	2	0	0	0.79	0	0	0	0	0	1	0	0
23	Jordan Szwarz	Milwaukee Admirals (WIN)	C/LW/RW	2	1	1	2	-1	0	0	1	2	2	0	3	50.00%	1	19	9.83	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	3	0	0	0	2.03	0	0	0	0	0	0	0	0
24	Richard Clune	Milwaukee Admirals (WIN)	LW/RW	23	1	1	2	0	11	5	11	9	6	1	1	16.67%	1	146	6.35	0	0	0	0	0	0	0	0	0	0	0	1	100.00%	2	0	3	0	0.27	0	1	0	1	0	0	0	0
25	Alexander Volkov	Milwaukee Admirals (WIN)	LW/RW	11	0	0	0	-4	2	0	9	8	14	4	7	0.00%	1	93	8.53	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	3	5	0	0	0.00	0	0	0	0	0	0	0	0
26	Brennan Menell	Milwaukee Admirals (WIN)	D	22	0	0	0	-1	0	0	7	7	4	1	2	0.00%	10	206	9.38	0	0	0	0	3	0	0	0	0	7	0	0	0.00%	0	0	4	0	0.00	1	1	0	0	0	0	0	0
27	Chris Bigras	Milwaukee Admirals (WIN)	D	3	0	0	0	-2	5	5	2	8	0	1	0	0.00%	1	56	18.67	0	0	0	0	8	0	0	0	0	6	0	0	0.00%	0	0	3	0	0.00	0	0	0	0	1	0	0	0
28	Bobby Sanguinetti	Milwaukee Admirals (WIN)	D	7	0	0	0	-1	4	0	6	7	3	1	7	0.00%	3	85	12.26	0	0	0	0	0	0	0	0	0	2	0	0	0.00%	0	0	2	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1545	227	384	611	-142	575	95	1846	1802	2667	973	1592	8.51%	949	25131	16.27	44	71	115	201	1753	4	4	8	38	1517	27	16	47.01%	4886	572	590	1	0.49	13	51	8	3	8	28	32	26

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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	MacKenzie Blackwood	Jets	68	28	31	8	0.911	2.98	4051	6	201	2254	1177	2	4	0.732	41	67	13	6	5	3
2	Craig Anderson	Jets	13	4	6	2	0.896	3.53	747	2	44	422	211	1	1	1.000	6	12	65	3	0	0
3	Jonathan Bernier	Jets	3	1	1	1	0.891	3.26	184	2	10	92	52	0	0	0.667	3	3	4	0	0	0
Stats d'équipe Total ou en Moyenne			84	33	38	11	0.908	3.07	4982	10	255	2768	1440	3	5	0.760	50	82	82	9	5	3

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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
Alex Galchenyuk	Jets	C/LW/RW	24	1994-02-11	No	207 Lbs	6 ft1	No	Yes	No	1	Pro & Farm	4,900,000$	4,900,000$	34,266$	No					Lien
Brett Ritchie	Jets	RW	24	1993-07-01	No	217 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	6,993$	No					Lien
Colton Sissons	Jets	C/RW	24	1993-11-05	No	200 Lbs	6 ft1	No	No	No	5	Pro & Farm	2,857,143$	2,857,143$	19,980$	No	2,857,143$	2,857,143$	2,857,143$	2,857,143$	Lien
Craig Anderson	Jets	G	37	1981-05-21	No	185 Lbs	6 ft2	No	Yes	No	1	Pro & Farm	4,750,000$	4,750,000$	33,217$	No					Lien
Filip Chytil	Jets	C/LW/RW	18	1999-09-05	No	178 Lbs	6 ft1	No	No	No	2	Pro & Farm	894,166$	894,166$	6,253$	No	894,166$				Lien
James van Riemsdyk	Jets	LW	29	1989-05-04	No	217 Lbs	6 ft3	No	No	No	4	Pro & Farm	7,000,000$	7,000,000$	48,951$	No	7,000,000$	7,000,000$	7,000,000$		Lien
Jonathan Bernier	Jets	G	29	1988-08-07	No	184 Lbs	6 ft0	Yes	No	No	1	Pro & Farm	5,700,000$	5,700,000$	39,860$	No					Lien
Jonathan Ericsson	Jets	D	34	1984-03-02	No	220 Lbs	6 ft4	Yes	No	No	2	Pro & Farm	3,400,000$	3,400,000$	23,776$	No	3,400,000$				Lien
Josh Manson	Jets	D	26	1991-10-07	No	213 Lbs	6 ft3	No	No	No	3	Pro & Farm	4,100,000$	4,100,000$	28,671$	No	4,100,000$	4,100,000$			Lien
Josh Morrissey	Jets	D	23	1995-03-28	No	195 Lbs	6 ft0	No	No	No	1	Pro & Farm	3,150,000$	3,150,000$	22,028$	No					Lien
MacKenzie Blackwood	Jets	G	21	1996-12-08	No	225 Lbs	6 ft4	No	No	No	1	Pro & Farm	697,500$	697,500$	4,878$	No					Lien
Mark Pysyk	Jets	D	26	1992-01-11	No	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,733,333$	2,733,333$	19,114$	No					Lien
Martin Hanzal (Sur la Masse Salariale)	Jets	C	31	1987-02-19	No	230 Lbs	6 ft6	No	No	No	1	Pro Only	4,750,000$	4,750,000$	33,217$	No					Lien
Matt Hunwick	Jets	D	33	1985-05-21	No	200 Lbs	5 ft11	No	No	Yes	1	Pro & Farm	2,250,000$	2,250,000$	15,734$	No					Lien
Mike Sgarbossa	Jets	C	25	1992-07-24	Yes	186 Lbs	6 ft0	No	No	No	2	Pro & Farm	700,000$	700,000$	4,895$	No	700,000$				Lien
Nate Prosser	Jets	D	32	1986-05-06	No	206 Lbs	6 ft2	No	No	No	2	Pro & Farm	700,000$	700,000$	4,895$	No	700,000$				Lien
Nathan MacKinnon	Jets	C/RW	22	1995-08-31	No	205 Lbs	6 ft0	No	No	No	2	Pro & Farm	6,300,000$	6,300,000$	44,056$	No	6,300,000$				Lien
Thomas Hickey	Jets	D	29	1989-02-08	No	188 Lbs	6 ft0	No	No	No	3	Pro & Farm	2,500,000$	2,500,000$	17,483$	No	2,500,000$	2,500,000$			Lien
Troy Brouwer	Jets	RW	32	1985-08-17	No	215 Lbs	6 ft3	Yes	No	No	1	Pro & Farm	4,500,000$	4,500,000$	31,469$	No					Lien
Victor Olofsson	Jets	LW/RW	22	1995-07-18	Yes	172 Lbs	5 ft11	No	No	No	2	Pro & Farm	767,500$	767,500$	5,367$	No	767,500$				Lien
Wayne Simmonds	Jets	LW/RW	29	1988-08-25	No	185 Lbs	6 ft2	No	No	No	1	Pro & Farm	5,000,000$	5,000,000$	34,965$	No					Lien
Zach Aston-Reese	Jets	C/LW/RW	23	1994-08-10	No	204 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,000,000$	1,000,000$	6,993$	No	1,000,000$				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	26.95	201 Lbs	6 ft2	1.82	3,165,893$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
69,649,642$	30,218,809$	16,457,143$	9,857,143$	2,857,143$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Victor Olofsson	Nathan MacKinnon	Wayne Simmonds	40	1	2	2
2	James van Riemsdyk	Colton Sissons	Alex Galchenyuk	30	1	2	2
3	Filip Chytil		Troy Brouwer	20	1	2	2
4	Zach Aston-Reese	Mike Sgarbossa	Brett Ritchie	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Thomas Hickey		40	1	2	2
2	Jonathan Ericsson	Mark Pysyk	30	1	2	2
3	Nate Prosser	Josh Morrissey	20	1	2	2
4	Thomas Hickey		10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Victor Olofsson	Nathan MacKinnon	Wayne Simmonds	60	1	2	2
2	Filip Chytil	Alex Galchenyuk	Troy Brouwer	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Thomas Hickey		60	1	2	2
2	Josh Morrissey	Mark Pysyk	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Mike Sgarbossa		60	1	2	2
2	Colton Sissons	Troy Brouwer	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Josh Morrissey	Nate Prosser	60	1	2	2
2	Jonathan Ericsson	Mark Pysyk	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2	Josh Morrissey	Nate Prosser	60	1	2	2
2	Colton Sissons	40	1	2	2	Jonathan Ericsson	Mark Pysyk	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Alex Galchenyuk	Victor Olofsson	60	1	2	2
2	Wayne Simmonds	Troy Brouwer	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Josh Morrissey		60	1	2	2
2	Jonathan Ericsson	Mark Pysyk	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Victor Olofsson	Nathan MacKinnon	Wayne Simmonds	Josh Morrissey	Thomas Hickey

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
	Nathan MacKinnon	Wayne Simmonds	Josh Morrissey	Thomas Hickey

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Mike Sgarbossa, , Colton Sissons	Mike Sgarbossa,	Nathan MacKinnon

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Nate Prosser, Josh Morrissey, Jonathan Ericsson	Nate Prosser	Josh Morrissey, Jonathan Ericsson

Tirs de Pénalité
Victor Olofsson, Nathan MacKinnon, Wayne Simmonds, Troy Brouwer, Zach Aston-Reese

Gardien
#1 : , #2 : Craig Anderson

Lignes d'Attaque Perso. en Prol.
Victor Olofsson, , Wayne Simmonds, Troy Brouwer, Zach Aston-Reese, Filip Chytil, Filip Chytil, Colton Sissons, Brett Ritchie, Nathan MacKinnon, Alex Galchenyuk

Lignes de Défense Perso. en Prol.
Thomas Hickey, , Jonathan Ericsson, Mark Pysyk, Nate Prosser

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	1	2	0	0	1	0	0	11	12	-1	2	1	1	0	0	0	0	0	7	6	1	2	0	1	0	0	1	0	0	4	6	-2	3	0.375	11	17	28	0	0	1	6	4	0	129	34	44	51	0	134	35	29	74	16	4	25.00%	12	3	75.00%	1	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	80	45	90	37	70	34
2	Blackhawks	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	4	7	11	1	0	0	1	3	0	43	16	12	15	0	69	29	20	45	6	0	0.00%	10	1	90.00%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	38	19	45	20	36	17
3	Blues	2	1	1	0	0	0	0	0	8	8	0	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	8	13	21	1	0	4	3	1	0	64	20	24	20	0	60	13	16	45	8	2	25.00%	8	4	50.00%	1	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	40	21	40	18	38	19
4	Bruins	5	1	3	0	0	1	0	0	14	22	-8	2	0	1	0	0	1	0	0	4	7	-3	3	1	2	0	0	0	0	0	10	15	-5	3	0.300	14	21	35	1	0	0	8	6	0	190	36	97	57	0	173	62	70	107	17	3	17.65%	10	2	80.00%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	106	59	104	45	89	46
5	Canadiens	2	1	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	3	1	2	2	0.500	5	10	15	0	0	1	0	4	0	62	18	23	21	0	63	23	12	48	1	1	100.00%	6	1	83.33%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	40	22	42	17	36	18
6	Canucks	3	1	1	0	0	0	1	0	9	8	1	1	0	1	0	0	0	0	0	1	3	-2	2	1	0	0	0	0	1	0	8	5	3	4	0.667	9	16	25	1	0	2	5	1	1	82	29	28	25	3	86	33	14	62	11	3	27.27%	7	1	85.71%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	57	30	68	31	58	28
7	Capitals	5	3	1	0	0	0	1	0	13	7	6	3	1	1	0	0	0	1	0	7	5	2	2	2	0	0	0	0	0	0	6	2	4	8	0.800	13	21	34	0	0	3	5	4	6	154	50	41	58	17	171	45	81	91	18	2	11.11%	38	4	89.47%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	95	47	118	53	91	42
8	Devils	5	0	2	0	0	0	1	2	15	19	-4	3	0	1	0	0	0	1	1	9	10	-1	2	0	1	0	0	0	0	1	6	9	-3	4	0.400	15	22	37	0	0	4	5	5	2	185	58	61	60	15	173	59	26	121	9	5	55.56%	14	0	100.00%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	105	61	120	46	88	42
9	Ducks	5	2	3	0	0	0	0	0	16	19	-3	2	1	1	0	0	0	0	0	8	8	0	3	1	2	0	0	0	0	0	8	11	-3	4	0.400	16	23	39	0	0	5	7	4	0	168	42	64	62	0	165	53	34	123	12	4	33.33%	13	2	84.62%	1	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	105	58	104	45	89	43
10	Flames	2	0	2	0	0	0	0	0	7	11	-4	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	7	13	20	1	0	2	2	3	0	70	18	22	30	0	75	30	10	48	1	0	0.00%	5	3	40.00%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	39	23	46	17	33	16
11	Flyers	3	1	1	0	1	0	0	0	9	7	2	2	1	0	0	1	0	0	0	7	4	3	1	0	1	0	0	0	0	0	2	3	-1	4	0.667	9	14	23	0	0	3	4	1	1	114	31	47	32	4	113	40	10	72	7	1	14.29%	5	0	100.00%	1	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	64	39	70	27	49	24
12	Golden Knights	2	0	1	0	0	1	0	0	7	9	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	0	1	0	0	5	6	-1	1	0.250	7	12	19	0	0	2	2	3	0	69	25	17	27	0	57	21	16	38	4	2	50.00%	8	2	75.00%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	42	24	40	17	36	18
13	Golden Seals	4	0	2	0	0	0	1	1	10	16	-6	2	0	1	0	0	0	1	0	5	7	-2	2	0	1	0	0	0	0	1	5	9	-4	3	0.375	10	14	24	0	0	3	2	4	1	117	53	31	29	9	158	44	26	89	4	0	0.00%	13	5	61.54%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	83	46	94	37	72	35
14	Islanders	2	1	0	0	0	1	0	0	7	5	2	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	5	2	3	3	0.750	7	11	18	0	0	4	1	2	0	70	25	22	20	3	52	19	13	44	5	1	20.00%	4	1	75.00%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	41	20	42	20	41	21
15	Kings	2	0	2	0	0	0	0	0	4	11	-7	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	4	7	11	0	0	0	0	4	0	48	9	19	20	0	69	22	8	35	3	0	0.00%	4	1	75.00%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	38	20	45	19	35	17
16	Lightning	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	7	11	18	0	0	2	3	2	0	79	28	28	23	0	74	17	10	48	4	0	0.00%	5	1	80.00%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	41	25	47	16	30	14
17	Maple Leafs	2	0	2	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	3	5	8	0	0	3	0	0	0	62	16	28	18	0	63	18	10	42	3	0	0.00%	5	0	100.00%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	43	24	40	17	36	17
18	Maroons	2	1	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	4	2	2	2	0.500	6	12	18	0	0	1	0	5	0	70	17	17	36	0	74	26	10	34	7	2	28.57%	5	1	80.00%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	40	22	43	19	36	17
19	Nordiques	2	1	0	0	0	0	1	0	5	2	3	1	0	0	0	0	0	1	0	2	1	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	5	7	12	0	0	1	1	2	2	43	9	16	17	15	54	19	14	38	2	0	0.00%	7	2	71.43%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	36	17	45	20	43	20
20	Oilers	4	2	1	0	0	1	0	0	12	14	-2	2	1	1	0	0	0	0	0	7	9	-2	2	1	0	0	0	1	0	0	5	5	0	5	0.625	12	20	32	0	0	0	8	4	0	127	33	41	50	3	138	54	14	100	12	3	25.00%	7	3	57.14%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	83	46	89	37	70	35
21	Panthers	3	2	1	0	0	0	0	0	12	7	5	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	6	1	5	4	0.667	12	22	34	0	0	4	2	6	0	89	29	24	36	0	73	19	41	75	11	3	27.27%	7	1	85.71%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	65	35	55	28	58	29
22	Penguins	3	1	0	0	1	1	0	0	7	6	1	2	0	0	0	1	1	0	0	4	4	0	1	1	0	0	0	0	0	0	3	2	1	5	0.833	7	11	18	0	0	3	1	2	1	97	39	36	21	1	118	42	8	84	10	2	20.00%	4	2	50.00%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	66	39	64	26	53	27
23	Rangers	3	1	2	0	0	0	0	0	9	9	0	1	0	1	0	0	0	0	0	2	3	-1	2	1	1	0	0	0	0	0	7	6	1	2	0.333	9	15	24	0	0	2	4	3	0	102	39	26	37	0	109	38	16	55	7	2	28.57%	8	1	87.50%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	56	31	70	28	53	25
24	Red Wings	2	1	0	0	0	0	0	1	5	5	0	1	0	0	0	0	0	0	1	3	4	-1	1	1	0	0	0	0	0	0	2	1	1	3	0.750	5	6	11	0	0	3	0	2	0	67	19	9	39	2	73	18	12	43	10	2	20.00%	6	0	100.00%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	44	23	43	19	37	19
25	Sabres	2	1	0	0	0	1	0	0	6	4	2	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	6	10	16	0	0	1	2	3	0	62	18	21	22	1	72	14	10	31	4	0	0.00%	5	1	80.00%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	41	22	45	19	37	18
26	Senateurs	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	3	5	8	0	0	2	1	0	0	39	18	10	11	0	60	16	6	38	2	0	0.00%	3	1	66.67%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	36	16	43	16	40	22
27	Sharks	2	0	1	0	0	0	1	0	6	7	-1	1	0	0	0	0	0	1	0	5	4	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	6	9	15	0	0	0	3	2	1	76	17	25	34	3	78	34	4	40	2	1	50.00%	2	0	100.00%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	39	22	49	18	36	17
28	Stars	3	2	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	3	1	2	2	1	1	0	0	0	0	0	5	6	-1	4	0.667	8	13	21	0	0	1	4	3	0	98	19	48	31	0	97	35	14	64	7	1	14.29%	7	0	100.00%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	58	32	67	28	54	26
	Total	82	25	38	0	2	7	6	4	234	264	-30	41	10	19	0	2	3	5	2	113	129	-16	41	15	19	0	0	4	1	2	121	135	-14	77	0.470	234	377	611	5	0	58	84	84	15	2633	786	902	917	76	2773	896	558	1788	206	44	21.36%	230	44	80.87%	4	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	1673	923	1825	770	1492	736
30	Wild	2	0	2	0	0	0	0	0	6	10	-4	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	6	10	16	0	0	1	4	1	0	57	21	21	15	0	72	18	4	54	3	0	0.00%	2	1	50.00%	0	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	39	22	44	17	35	17
	_Since Last GM Reset	82	25	38	0	2	7	6	4	234	264	-30	41	10	19	0	2	3	5	2	113	129	-16	41	15	19	0	0	4	1	2	121	135	-14	77	0.470	234	377	611	5	0	58	84	84	15	2633	786	902	917	76	2773	896	558	1788	206	44	21.36%	230	44	80.87%	4	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	1673	923	1825	770	1492	736
	_Vs Conference	47	14	20	0	0	5	4	4	138	158	-20	23	5	10	0	0	2	4	2	67	76	-9	24	9	10	0	0	3	0	2	71	82	-11	45	0.479	138	214	352	2	0	32	54	48	10	1580	469	525	565	52	1604	518	369	1018	125	32	25.60%	149	28	81.21%	3	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	965	533	1050	442	853	420
	_Vs Division	32	9	14	0	0	3	3	3	91	109	-18	16	4	7	0	0	1	3	1	47	52	-5	16	5	7	0	0	2	0	2	44	57	-13	30	0.469	91	138	229	1	0	16	41	31	9	1070	306	379	367	44	1112	352	280	705	88	21	23.86%	107	19	82.24%	2	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	661	366	721	302	571	281

			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	77	L1	234	377	611	2633	2773	896	558	1788	5	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	25	38	2	7	6	4	234	264

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	10	19	2	3	5	2	113	129

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	15	19	0	4	1	2	121	135

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	8	0	1	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
206	44	21.36%	230	44	80.87%	4

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
786	902	917	76	58	84	84	15

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
887	1798	49.33%	845	1833	46.10%	566	1191	47.52%

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
1673	923	1825	770	1492	736

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	L			Sommaire du Match
2 - 2019-10-05	17	Jets	3	Bruins	5	L			Sommaire du Match
3 - 2019-10-06	30	Jets	4	Ducks	3	W			Sommaire du Match
6 - 2019-10-09	50	Devils	4	Jets	3	L			Sommaire du Match
8 - 2019-10-11	68	Capitals	1	Jets	3	W			Sommaire du Match
10 - 2019-10-13	86	Jets	3	Golden Seals	4	L	X	X	Sommaire du Match
11 - 2019-10-14	98	Jets	6	Rangers	3	W			Sommaire du Match
13 - 2019-10-16	112	Capitals	2	Jets	1	L			Sommaire du Match
14 - 2019-10-17	124	Jets	4	Capitals	1	W			Sommaire du Match
17 - 2019-10-20	144	Devils	2	Jets	3	W	X	X	Sommaire du Match
18 - 2019-10-21	159	Jets	3	Canadiens	1	W			Sommaire du Match
20 - 2019-10-23	172	Jets	4	Devils	5	L	X	X	Sommaire du Match
21 - 2019-10-24	181	Avalanche	3	Jets	5	W			Sommaire du Match
23 - 2019-10-26	203	Bruins	4	Jets	3	L	X		Sommaire du Match
25 - 2019-10-28	217	Jets	4	Canucks	2	W			Sommaire du Match
26 - 2019-10-29	232	Penguins	3	Jets	2	L	X		Sommaire du Match
28 - 2019-10-31	247	Devils	4	Jets	3	L	X	X	Sommaire du Match
31 - 2019-11-03	265	Jets	2	Sabres	3	L	X		Sommaire du Match
32 - 2019-11-04	276	Jets	3	Nordiques	1	W			Sommaire du Match
34 - 2019-11-06	294	Flames	6	Jets	4	L			Sommaire du Match
36 - 2019-11-08	309	Jets	3	Penguins	2	W			Sommaire du Match
37 - 2019-11-09	324	Lightning	2	Jets	4	W			Sommaire du Match
39 - 2019-11-11	338	Flyers	2	Jets	3	W	X		Sommaire du Match
40 - 2019-11-12	353	Jets	2	Flyers	3	L			Sommaire du Match
43 - 2019-11-15	370	Blackhawks	4	Jets	2	L			Sommaire du Match
44 - 2019-11-16	383	Jets	2	Blackhawks	4	L			Sommaire du Match
45 - 2019-11-17	398	Jets	4	Wild	6	L			Sommaire du Match
47 - 2019-11-19	412	Wild	4	Jets	2	L			Sommaire du Match
49 - 2019-11-21	428	Canadiens	5	Jets	2	L			Sommaire du Match
51 - 2019-11-23	446	Jets	2	Oilers	3	L	X		Sommaire du Match
52 - 2019-11-24	458	Penguins	1	Jets	2	W	X		Sommaire du Match
54 - 2019-11-26	474	Jets	2	Devils	4	L			Sommaire du Match
56 - 2019-11-28	489	Flyers	2	Jets	4	W			Sommaire du Match
58 - 2019-11-30	506	Jets	1	Rangers	3	L			Sommaire du Match
60 - 2019-12-02	517	Jets	2	Red Wings	1	W			Sommaire du Match
62 - 2019-12-04	533	Ducks	1	Jets	4	W			Sommaire du Match
63 - 2019-12-05	547	Jets	3	Lightning	4	L			Sommaire du Match
65 - 2019-12-07	564	Bruins	3	Jets	1	L			Sommaire du Match
67 - 2019-12-09	582	Kings	6	Jets	2	L			Sommaire du Match
69 - 2019-12-11	598	Jets	1	Sharks	3	L			Sommaire du Match
70 - 2019-12-12	611	Sharks	4	Jets	5	W	X	X	Sommaire du Match
72 - 2019-12-14	627	Jets	4	Canucks	3	W	X	X	Sommaire du Match
74 - 2019-12-16	644	Stars	1	Jets	3	W			Sommaire du Match
75 - 2019-12-17	657	Jets	2	Ducks	4	L			Sommaire du Match
76 - 2019-12-18	667	Golden Seals	2	Jets	3	W	X	X	Sommaire du Match
78 - 2019-12-20	682	Jets	2	Avalanche	3	L	X		Sommaire du Match
80 - 2019-12-22	697	Jets	3	Flames	5	L			Sommaire du Match
82 - 2019-12-24	712	Capitals	2	Jets	3	W	X	X	Sommaire du Match
84 - 2019-12-26	733	Sabres	1	Jets	4	W			Sommaire du Match
86 - 2019-12-28	746	Jets	4	Maroons	2	W			Sommaire du Match
87 - 2019-12-29	761	Ducks	7	Jets	4	L			Sommaire du Match
90 - 2020-01-01	779	Jets	2	Ducks	4	L			Sommaire du Match
91 - 2020-01-02	792	Red Wings	4	Jets	3	L	X	X	Sommaire du Match
93 - 2020-01-04	809	Jets	2	Golden Seals	5	L			Sommaire du Match
94 - 2020-01-05	815	Jets	2	Maple Leafs	3	L			Sommaire du Match
96 - 2020-01-07	832	Panthers	2	Jets	5	W			Sommaire du Match
99 - 2020-01-10	852	Avalanche	3	Jets	2	L			Sommaire du Match
100 - 2020-01-11	864	Jets	2	Capitals	1	W			Sommaire du Match
102 - 2020-01-13	880	Maple Leafs	2	Jets	1	L			Sommaire du Match
105 - 2020-01-16	895	Jets	3	Oilers	2	W			Sommaire du Match
107 - 2020-01-18	913	Blues	2	Jets	4	W			Sommaire du Match
108 - 2020-01-19	926	Jets	5	Islanders	2	W			Sommaire du Match
109 - 2020-01-20	934	Jets	2	Avalanche	3	L			Sommaire du Match
111 - 2020-01-22	952	Rangers	3	Jets	2	L			Sommaire du Match
113 - 2020-01-24	972	Islanders	3	Jets	2	L	X		Sommaire du Match
114 - 2020-01-25	988	Senateurs	4	Jets	2	L			Sommaire du Match
116 - 2020-01-27	1004	Jets	1	Senateurs	3	L			Sommaire du Match
117 - 2020-01-28	1015	Jets	4	Blues	6	L			Sommaire du Match
118 - 2020-01-29	1021	Jets	6	Panthers	1	W			Sommaire du Match
121 - 2020-02-01	1042	Nordiques	1	Jets	2	W	X	X	Sommaire du Match
122 - 2020-02-02	1057	Jets	3	Stars	2	W			Sommaire du Match
124 - 2020-02-04	1071	Oilers	3	Jets	5	W			Sommaire du Match
126 - 2020-02-06	1086	Jets	2	Kings	5	L			Sommaire du Match
127 - 2020-02-07	1101	Canucks	3	Jets	1	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	1123	Oilers	6	Jets	2	L			Sommaire du Match
132 - 2020-02-12	1145	Maroons	5	Jets	2	L			Sommaire du Match
133 - 2020-02-13	1162	Jets	5	Golden Knights	6	L	X		Sommaire du Match
135 - 2020-02-15	1174	Panthers	4	Jets	1	L			Sommaire du Match
136 - 2020-02-16	1182	Jets	4	Bruins	9	L			Sommaire du Match
138 - 2020-02-18	1201	Golden Knights	3	Jets	2	L			Sommaire du Match
139 - 2020-02-19	1206	Jets	3	Bruins	1	W			Sommaire du Match
141 - 2020-02-21	1217	Jets	2	Stars	4	L			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	95	60	45	27	210
Assistance	231,383	192,055	55,258	110,072	27,935
Attendance PCT	94.06%	93.69%	67.39%	67.12%	68.13%

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	15042 - 83.56%	1,629,173$	66,796,086$	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
71,047,164$	64,899,642$	63,871,253$	0$	1,857,143$

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
64,899,642$	71,047,164$	0$	20	2

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	1	478,319$	478,319$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
478,319$	70,316,785$	62,813,049$	62,334,730$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

James van Riemsdyk	AGE:29	PO:78	OV:71
Alex Galchenyuk	AGE:24	PO:75	OV:70
*Victor Olofsson	AGE:22	PO:58	OV:70
Wayne Simmonds	AGE:29	PO:72	OV:68
Zach Aston-Reese	AGE:23	PO:74	OV:66
Filip Chytil	AGE:18	PO:68	OV:64
Janne Kuokkanen	AGE:20	PO:66	OV:63
Jordan Szwarz	AGE:27	PO:65	OV:62
Alexander Volkov	AGE:20	PO:64	OV:62
William Carrier	AGE:23	PO:54	OV:57
*Axel Jonsson-Fjallby	AGE:20	PO:56	OV:53
Tyler Wong	AGE:22	PO:54	OV:53
Richard Clune	AGE:31	PO:51	OV:50

Nathan MacKinnon	AGE:22	PO:87	OV:80
Colton Sissons	AGE:24	PO:76	OV:70
Alex Galchenyuk	AGE:24	PO:75	OV:70
Zach Aston-Reese	AGE:23	PO:74	OV:66
Filip Chytil	AGE:18	PO:68	OV:64
Janne Kuokkanen	AGE:20	PO:66	OV:63
*Troy Terry	AGE:20	PO:67	OV:62
*Mike Sgarbossa	AGE:25	PO:66	OV:62
Jordan Szwarz	AGE:27	PO:65	OV:62
Frederick Gaudreau	AGE:25	PO:60	OV:59
Martin Hanzal	AGE:31	PO:56	OV:58
Tanner MacMaster	AGE:22	PO:55	OV:54
*Drake Rymsha	AGE:19	PO:51	OV:52

Nathan MacKinnon	AGE:22	PO:87	OV:80
Colton Sissons	AGE:24	PO:76	OV:70
Alex Galchenyuk	AGE:24	PO:75	OV:70
*Victor Olofsson	AGE:22	PO:58	OV:70
Troy Brouwer	AGE:32	PO:72	OV:68
Wayne Simmonds	AGE:29	PO:72	OV:68
Zach Aston-Reese	AGE:23	PO:74	OV:66
Filip Chytil	AGE:18	PO:68	OV:64
Janne Kuokkanen	AGE:20	PO:66	OV:63
Brett Ritchie	AGE:24	PO:64	OV:63
*Troy Terry	AGE:20	PO:67	OV:62
Jordan Szwarz	AGE:27	PO:65	OV:62
Alexander Volkov	AGE:20	PO:64	OV:62
*Matt Luff	AGE:21	PO:67	OV:60
Richard Clune	AGE:31	PO:51	OV:50

Défense #1

Défense #2

Gardien

Josh Morrissey	AGE:23	PO:69	OV:73
Josh Manson	AGE:26	PO:67	OV:73
Jonathan Ericsson	AGE:34	PO:62	OV:70
Mark Pysyk	AGE:26	PO:63	OV:69
Thomas Hickey	AGE:29	PO:63	OV:69
Nate Prosser	AGE:32	PO:58	OV:63
Matt Hunwick	AGE:33	PO:58	OV:62
Brennan Menell	AGE:21	PO:58	OV:61

*Logan Day	AGE:23	PO:57	OV:60
Chris Bigras	AGE:23	PO:55	OV:60
Sebastian AhoD	AGE:22	PO:58	OV:59
*Stefan Elliott	AGE:27	PO:55	OV:58
*Jordan Gross	AGE:23	PO:55	OV:57
Hubert Labrie	AGE:26	PO:50	OV:56
*Bobby Sanguinetti	AGE:30	PO:50	OV:54
Joonas Lyytinen	AGE:23	PO:49	OV:52

MacKenzie Blackwood	AGE:21	PO:74	OV:72
Craig Anderson	AGE:37	PO:67	OV:67
Jonathan Bernier	AGE:29	PO:65	OV:64
Anton Forsberg	AGE:25	PO:62	OV:62
Eamon McAdam	AGE:23	PO:53	OV:54

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
ARTUR GAVRUS	Jets	2012	181
Bowen Byram	Jets	2019	3
Brandon Whitney	Jets	2012	90
Calen Addison	Jets	2018	57
Calle Sjalin	Jets	2017	110
Cooper Moore	Jets	2019	152
David Bernhardt	Jets	2016	175
David Farrance	Jets	2017	50
Eric Ciccolini	Jets	2019	182
FELIX SANDSTROM	Jets	2015	70
Filip Helt	Jets	2016	87
Isaiah Saville	Jets	2019	91
Isak Walther	Jets	2019	122
JACK SADEK	Jets	2015	164
Jack Perbix	Jets	2018	87
Jakob Stenqvist	Jets	2016	151
Jakov Novak	Jets	2018	177
Jamieson Rees	Jets	2019	32
Jocktan Chainey	Jets	2017	170
Joe Faust	Jets
Josh Ess	Jets	2017	200
KARCH BACHMAN	Jets	2015	160
Marek Langhamer	Jets
Matt Ustaski	Jets	2014	197
Mauro Jorg	Jets	2010	204
McKade Webster	Jets	2019	173
Nikita Nesterenko	Jets	2019	179
Nikolaj Krag Christensen	Jets	2016	177
Nils Lundkvist	Jets	2018	27
Noah Rod	Jets	2014	60
Otto Kivenmaki	Jets	2018	147
Rem Pitlick	Jets	2016	91
Rhett Pitlick	Jets	2019	98
Riley Hughes	Jets	2018	207
Tarmo Reunanen	Jets	2016	98
Tuukka Tieksola	Jets	2019	83
Tyler Weiss	Jets	2018	117
VEETI VAINIO	Jets	2015	92

Choix au Repêchage

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

[2020-04-20 16:05:52] - New Record for Team's Most Penalties Minutes (49) in 1 Game for Jets!
[2020-02-12 20:14:47] - TRADE : From Jets to Devils : Y:2020-RND:7-COL.
[2020-02-12 20:14:47] - TRADE : From Devils to Jets : Thomas Hickey (68), Rhett Pitlick (P).
[2019-11-08 20:54:10] - Richard Clune was added to Jets.
[2019-11-08 20:53:58] - Bobby Sanguinetti was added to Jets.
[2019-11-06 20:54:32] - Anthony Louis was released.
[2019-11-06 20:54:32] - Jets paid 0 $ to release Anthony Louis.
[2019-10-08 18:42:24] - TRADE : From Canucks to Jets : James van Riemsdyk (72).
[2019-10-08 18:42:24] - TRADE : From Jets to Canucks : Jimmy Vesey (69).
[2019-10-08 18:41:33] - TRADE : From Devils to Jets : Jordan Szwarz (62).
[2019-09-23 15:20:45] - Milwaukee Admirals hired Dan Muse for 60 000 $ for 1 year(s).
[2019-09-08 15:46:33] - Stefan Elliott signed with Jets for 500 000 $ for 1 year(s) / Option : No Trade.
[2019-09-08 15:46:33] - Stefan Elliott was added to Jets.
[2019-09-08 15:46:21] - Hubert Labrie signed with Jets for 500 000 $ for 1 year(s) / Option : No Trade.
[2019-09-08 15:46:21] - Hubert Labrie was added to Jets.
[2019-09-08 15:42:50] - Jonathan Ericsson signed with Jets for 3 400 000 $ for 2 year(s) / Option : No Trade.
[2019-09-08 15:42:50] - Jonathan Ericsson was added to Jets.
[2019-09-08 15:30:09] - Jets hired Rob Brind'Amour for 3 500 000 $ for 3 year(s).
[2019-09-08 15:26:21] - Mike Sgarbossa signed with Jets for 700 000 $ for 2 year(s).
[2019-09-08 15:26:21] - Mike Sgarbossa was added to Jets.
[2019-09-05 19:58:40] - Milwaukee Admirals fired Roy Sommer.

[2020-04-27 19:52:02] MacKenzie Blackwood from Jets suspended for 99 game(s)
[2020-04-27 19:39:11] Josh Manson from Jets is back from Exhaustion.
[2020-04-27 19:35:16] Jordan Szwarz of Jets was sent to farm.
[2020-04-27 19:35:16] Janne Kuokkanen of Jets was sent to farm.
[2020-04-27 19:35:15] Josh Manson from Jets is injured from Exhaustion.
[2020-04-27 19:35:12] Auto Lines Function has been run for Jets.
[2020-04-27 19:34:45] Auto Lines Function has been run for Jets.
[2020-04-27 19:34:45] Auto Roster Partial Function has been run for Jets.
[2020-04-27 19:34:45] Jordan Szwarz of Jets was sent to pro.
[2020-04-27 19:34:45] Janne Kuokkanen of Jets was sent to pro.
[2020-04-23 16:06:35] Game 1206 - Martin Hanzal from Jets is injured (Chest/Ribs) and is out for 3 weeks.
[2020-04-23 16:06:28] Successfully loaded Jets lines done with STHS Client - 3.2.0.5
[2020-04-22 17:04:30] Josh Morrissey from Jets is back from Exhaustion.
[2020-04-21 15:51:45] Successfully loaded Jets lines done with STHS Client - 3.2.0.5
[2020-04-20 16:05:52] New Record for Team's Most Penalties Minutes (49) in 1 Game for Jets!
[2020-04-20 16:05:52] Josh Morrissey from Jets is injured from Exhaustion.
[2020-04-20 16:03:12] Successfully loaded Jets lines done with STHS Client - 3.2.0.5
[2020-04-20 16:03:12] Chris Bigras of Jets was sent down to farm.
[2020-04-20 16:03:12] Janne Kuokkanen of Jets was sent down to farm.
[2020-04-17 15:34:14] Maximum Pro Players Limit Reached for Jets!
[2020-04-17 15:33:41] Thomas Hickey from Jets is back from Bruised Left Shoulder Injury.
[2020-04-17 15:33:41] Josh Morrissey from Jets is back from Exhaustion.
[2020-04-17 15:32:43] Colton Sissons from Jets is back from Exhaustion.
[2020-04-17 15:32:43] Josh Morrissey from Jets is injured from Exhaustion.
[2020-04-16 18:43:28] Josh Manson from Jets is back from Exhaustion.
[2020-04-16 18:33:21] Successfully loaded Jets lines done with STHS Client - 3.2.0.5
[2020-04-16 18:33:21] Jordan Szwarz of Jets was sent down to farm.
[2020-04-16 18:33:21] Chris Bigras of Jets was sent to pro.
[2020-04-16 18:33:21] Troy Terry of Jets was sent down to farm.
[2020-04-15 17:05:47] James van Riemsdyk from Jets is back from Exhaustion.
[2020-04-15 17:04:49] Jets are expected to be under the minimum salary cap by 1 740 358 $!
[2020-04-15 17:04:45] Jets lines for next game are empty. Current rosters/lines are not erased.
[2020-04-15 17:04:43] Colton Sissons from Jets is injured from Exhaustion.
[2020-04-15 17:04:43] Josh Manson from Jets is injured from Exhaustion.
[2020-04-15 17:04:39] Auto Lines Function has been run for Jets.
[2020-04-15 16:54:47] Auto Lines Function has been run for Jets.
[2020-04-15 16:54:47] Auto Roster Partial Function has been run for Jets.
[2020-04-15 16:54:47] Jordan Szwarz of Jets was sent to pro.
[2020-04-15 16:54:47] Troy Terry of Jets was sent to pro.
[2020-04-14 17:33:51] Both Jets and Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased.
[2020-04-14 17:33:48] James van Riemsdyk from Jets is injured from Exhaustion.
[2020-04-14 17:33:48] Game 1145 - Thomas Hickey from Jets is injured (Bruised Left Shoulder) and is out for 1 week.
[2020-04-14 17:33:42] Auto Lines Function has been run for Jets.
[2020-04-14 17:30:50] Frederick Gaudreau of Jets was sent down to farm.
[2020-04-14 17:30:30] William Carrier of Jets was sent down to farm.
[2020-04-14 17:30:09] Jets roster errors : Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2020-04-14 17:30:08] Maximum Pro Players Limit Reached for Jets!
[2020-04-14 17:27:12] Auto Roster Partial Function has been run for Jets.
[2020-04-14 17:27:07] Successfully loaded Jets lines done with STHS Client - 3.2.1.1
[2020-04-14 17:27:06] Bobby Sanguinetti of Jets was sent down to farm.

MacKenzie Blackwood est suspendu indéfiniement.

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
2019	82	25	38	0	2	7	6	4	234	264	-30	41	10	19	0	2	3	5	2	113	129	-16	41	15	19	0	0	4	1	2	121	135	-14	77	234	377	611	5	0	58	84	84	15	2633	786	902	917	76	2773	896	558	1788	206	44	21.36%	230	44	80.87%	4	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	1673	923	1825	770	1492	736
Total Saison Régulière	82	25	38	0	2	7	6	4	234	264	-30	41	10	19	0	2	3	5	2	113	129	-16	41	15	19	0	0	4	1	2	121	135	-14	77	234	377	611	5	0	58	84	84	15	2633	786	902	917	76	2773	896	558	1788	206	44	21.36%	230	44	80.87%	4	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	1673	923	1825	770	1492	736