Ligue de Hockey Simulé du Saguenay

Moose
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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Corey Perry (C)			X		100.00	75	37	82	78	76	80	78	83	74	76	90	66	83	82	78	23	26	78	1
2	Derek Stepan	X				100.00	77	31	81	80	80	85	82	85	81	90	82	67	70	61	51	42	44	78	1
3	Nino Niederreiter			X		100.00	82	41	81	80	83	72	80	84	74	79	83	77	69	56	46	53	51	77	1
4	Adam Henrique		X			100.00	74	26	86	77	80	83	84	82	87	89	83	64	72	57	49	43	37	77	1
5	Marcus Johansson (A)		X			100.00	72	33	81	79	80	85	80	80	76	83	80	65	74	66	61	41	51	76	0
6	Ryan Johansen	X				100.00	81	46	83	79	80	83	80	81	79	84	77	68	82	54	47	57	54	76	1
7	Erik Haula		X			100.00	75	25	88	78	77	89	81	74	77	79	79	75	73	56	46	49	51	75	0
8	Ronalds Kenins		X			100.00	81	30	73	77	79	70	72	76	65	78	73	70	66	57	55	42	51	72	0
9	Jimmy Vesey (R)			X		100.00	63	35	83	76	68	76	81	80	83	84	72	59	70	54	49	52	49	72	0
10	Noel Acciari (R)	X				100.00	72	30	73	75	74	79	73	75	73	75	69	71	73	67	65	42	46	71	0
11	Miro Aaltonen (R)	X				100.00	67	29	80	86	72	73	64	80	70	75	73	60	75	50	48	47	34	71	0
12	Josh Bailey			X		100.00	77	20	77	73	68	72	77	74	75	80	72	63	64	60	59	35	58	70	0
13	Tyler Myers				X	100.00	88	36	79	82	87	85	77	77	61	81	75	85	72	65	48	40	38	80	1
14	Marco Scandella				X	100.00	83	35	80	80	80	83	77	76	57	83	77	81	68	66	46	36	51	78	1
15	Victor Hedman (A)				X	100.00	70	34	87	82	70	89	82	79	57	80	81	75	71	68	55	45	32	77	1
16	Dougie Hamilton				X	100.00	72	29	84	82	78	78	79	86	53	86	64	75	64	55	44	56	34	75	0
17	Michael Matheson (R)				X	100.00	76	35	76	76	69	71	76	71	52	71	63	76	60	51	43	52	30	71	0
18	Robert Hagg (R)				X	100.00	65	28	85	74	74	75	64	67	37	67	50	83	50	47	42	58	24	69	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	75	32	81	79	76	79	77	78	68	80	75	71	70	60	52	45	42	75

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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	Jonathan Bernier	100.00	79	79	78	68	80	89	86	78	76	86	74	66	54	32	51	79	2
2	Jacob Markstrom	100.00	79	77	87	75	76	92	87	78	73	90	75	59	50	42	23	79	1
Rayé

	MOYENNE D'ÉQUIPE	100.00	79	78	83	72	78	91	87	78	75	88	75	63	52	37	37	79

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Ted Nolan	78	80	77	80	76	56	52	CAN	53	4	2,200,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FT	S1	S2	S3
1	Ryan Johansen	Jets	C	80	39	52	91	18	59	5	120	116	243	79	153	16.05%	45	1542	19.28	10	18	28	48	295	0	2	2	0	96	5	1	50.05%	1900	38	25	1	2	1.18	2	6	1	0	6	3	5
2	Nino Niederreiter	Jets	RW	80	36	50	86	21	64	0	140	89	286	96	183	12.59%	35	1620	20.25	9	10	19	42	293	1	1	2	6	169	2	2	50.00%	122	55	26	0	0	1.06	0	4	0	0	1	7	5
3	Derek Stepan	Jets	C	79	34	42	76	-4	59	5	134	131	238	75	132	14.29%	29	1377	17.44	7	12	19	24	238	1	1	2	2	52	3	1	50.85%	1463	45	28	0	0	1.10	0	3	0	0	6	5	5
4	Adam Henrique	Jets	LW	77	33	43	76	1	8	0	81	77	249	72	131	13.25%	27	1394	18.11	9	13	22	45	268	0	0	0	0	11	7	0	51.61%	93	56	10	0	0	1.09	2	3	0	0	4	6	4
5	Marcus Johansson	Jets	LW	80	30	38	68	6	28	0	110	80	192	50	119	15.63%	23	1346	16.84	6	6	12	30	261	0	0	0	4	79	2	2	45.61%	57	38	13	0	1	1.01	1	2	0	0	6	7	4
6	Corey Perry	Jets	RW	78	22	27	49	-14	46	0	127	81	203	59	126	10.84%	35	1460	18.72	6	11	17	21	236	0	0	0	0	94	5	0	41.85%	270	33	25	0	0	0.67	3	8	0	0	4	1	2
7	Tyler Myers	Jets	D	72	7	37	44	-8	88	0	126	120	103	51	43	6.80%	109	1905	26.46	3	4	7	20	286	0	1	1	2	269	0	0	0.00%	0	39	43	0	0	0.46	1	1	0	0	0	1	3
8	Victor Hedman	Jets	D	81	11	28	39	-23	36	0	81	122	153	56	57	7.19%	89	1984	24.49	5	6	11	37	361	0	0	0	0	169	0	0	0.00%	1	43	63	0	0	0.39	0	1	0	0	2	1	1
9	Erik Haula	Jets	LW	80	12	24	36	0	16	0	94	87	134	47	74	8.96%	36	1244	15.55	0	0	0	3	19	2	1	3	8	268	2	0	53.42%	219	20	23	0	0	0.58	0	1	0	0	3	3	1
10	Ronalds Kenins	Jets	LW	80	15	11	26	-16	34	0	71	44	95	30	57	15.79%	26	812	10.16	1	0	1	1	7	1	1	2	6	214	2	0	40.00%	25	25	10	0	0	0.64	0	0	0	0	2	1	1
11	Marco Scandella	Jets	D	80	4	21	25	-11	52	0	128	143	97	41	42	4.12%	109	1892	23.65	1	3	4	15	279	0	0	0	1	243	0	0	0.00%	0	30	56	0	0	0.26	1	1	0	0	0	0	1
12	Dougie Hamilton	Jets	D	79	0	22	22	-13	22	0	65	119	82	34	36	0.00%	73	1491	18.87	0	4	4	16	201	0	0	0	4	170	0	0	0.00%	0	25	30	0	0	0.30	0	0	0	0	0	0	0
13	Miro Aaltonen	Jets	C	52	9	12	21	-13	12	0	25	33	84	17	42	10.71%	6	477	9.18	0	0	0	0	0	0	0	0	0	6	1	1	44.67%	244	22	7	0	0	0.88	1	2	0	0	0	0	0
14	Jimmy Vesey	Jets	RW	77	9	12	21	-15	18	0	50	27	97	30	63	9.28%	11	677	8.80	0	1	1	3	15	0	0	0	0	0	0	1	55.56%	18	17	7	0	0	0.62	0	0	0	0	1	0	0
15	Noel Acciari	Jets	C	58	4	8	12	-14	16	0	46	71	48	19	38	8.33%	28	638	11.01	0	0	0	0	6	1	0	1	5	214	0	0	54.03%	472	13	13	0	0	0.38	0	0	0	0	0	1	0
16	Michael Matheson	Jets	D	74	1	6	7	11	44	0	49	74	39	13	12	2.56%	51	963	13.02	0	0	0	0	5	0	0	0	0	89	0	1	0.00%	0	6	32	0	0	0.15	0	0	0	0	0	0	0
17	Robert Hagg	Jets	D	52	2	5	7	1	10	0	31	69	26	11	12	7.69%	46	783	15.07	0	0	0	0	2	0	0	0	2	120	0	1	0.00%	0	2	35	0	0	0.18	0	0	0	0	0	0	0
18	Frank Vatrano	Moose (Win)	RW	16	2	3	5	-11	5	5	13	4	11	4	7	18.18%	2	114	7.15	0	0	0	0	2	0	0	0	0	0	0	0	66.67%	3	0	0	0	0	0.87	0	0	0	1	0	0	0
19	Josh Bailey	Jets	RW	18	0	3	3	-5	4	0	9	5	15	4	6	0.00%	1	133	7.41	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	3	2	3	0	0	0.45	0	0	0	0	0	0	0
20	Nikolaj Ehlers	Moose (Win)	RW	10	2	1	3	-2	0	0	9	10	13	0	12	15.38%	1	106	10.62	0	0	0	0	0	0	0	0	0	0	0	0	75.00%	4	3	1	0	0	0.56	0	0	0	0	0	0	2
21	Troy Stetcher	Moose (Win)	D	10	0	2	2	2	0	0	3	2	2	4	1	0.00%	6	118	11.81	0	0	0	0	3	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.34	0	0	0	0	0	0	0
22	Dwight King	Moose (Win)	LW	12	0	2	2	-9	12	0	11	3	10	3	6	0.00%	3	126	10.57	0	0	0	0	0	0	0	0	0	1	0	0	33.33%	3	3	2	0	0	0.32	0	0	0	0	0	0	0
23	Vince Hinostroza	Moose (Win)	RW	13	0	1	1	3	2	0	8	8	3	3	1	0.00%	2	109	8.40	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	3	1	0	0	0	0.18	0	0	0	0	0	0	0
24	Jordan Martinook	Moose (Win)	LW	1	0	0	0	-1	0	0	0	0	4	0	1	0.00%	0	6	6.53	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	0.00	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1339	272	450	722	-96	635	15	1531	1515	2427	798	1354	11.21%	793	22326	16.67	57	88	145	305	2788	6	7	13	40	2274	29	10	50.08%	4900	516	453	1	3	0.65	11	32	1	1	35	36	34

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jacob Markstrom	Jets	57	22	26	5	0.893	3.27	3234	4	1	176	1645	690	3	3	0.621	29	54	18	4	1	0
2	Jonathan Bernier	Jets	33	8	17	4	0.875	3.90	1706	4	0	111	887	380	1	1	0.714	7	27	53	0	1	1
Stats d'équipe Total ou en Moyenne			90	30	43	9	0.887	3.49	4940	8	1	287	2532	1070	4	4	0.639	36	81	71	4	2	1

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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
Adam Henrique	Jets	LW	25	1990-01-01	No	195 Lbs	6 ft0	No	No	No	4	Pro Only	5,000,000$	5,000,000$	0$	No	5,000,000$	5,000,000$	5,000,000$
Corey Perry	Jets	RW	30	1985-01-01	No	206 Lbs	6 ft3	No	No	No	4	Pro Only	6,000,000$	6,000,000$	0$	No	6,000,000$	6,000,000$	6,000,000$
Derek Stepan	Jets	C	25	1990-01-01	No	190 Lbs	6 ft0	No	No	No	3	Pro Only	4,500,000$	4,500,000$	0$	No	5,000,000$	5,250,000$
Dougie Hamilton	Jets	D	22	1993-01-01	No	210 Lbs	6 ft6	No	No	No	1	Pro & Farm	1,100,000$	1,100,000$	0$	No
Erik Haula	Jets	LW	24	1991-01-01	No	192 Lbs	5 ft11	No	No	No	3	Pro Only	2,750,000$	2,750,000$	0$	No	3,000,000$	3,250,000$
Jacob Markstrom	Jets	G	25	1990-01-01	No	196 Lbs	6 ft6	No	No	No	1	Pro Only	2,900,000$	2,900,000$	0$	No
Jimmy Vesey	Jets	RW	22	1993-01-01	Yes	194 Lbs	6 ft1	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	No
Jonathan Bernier	Jets	G	27	1988-01-01	No	186 Lbs	5 ft11	No	No	No	2	Pro Only	3,750,000$	3,750,000$	0$	No	3,750,000$
Josh Bailey	Jets	RW	26	1989-01-01	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	900,000$	900,000$	0$	No
Marco Scandella	Jets	D	25	1990-01-01	No	210 Lbs	6 ft3	No	No	No	2	Pro Only	3,750,000$	3,750,000$	0$	No	4,000,000$
Marcus Johansson	Jets	LW	25	1990-01-01	No	205 Lbs	6 ft1	No	No	No	3	Pro Only	2,750,000$	2,750,000$	0$	No	3,000,000$	3,250,000$
Michael Matheson	Jets	D	21	1994-01-01	Yes	178 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,000,000$	1,000,000$	0$	No	1,200,000$	1,400,000$
Miro Aaltonen	Jets	C	22	1993-01-01	Yes	185 Lbs	5 ft10	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	No	1,250,000$
Nino Niederreiter	Jets	RW	23	1992-01-01	No	210 Lbs	6 ft2	No	No	No	3	Pro Only	3,500,000$	3,500,000$	0$	No	3,800,000$	4,000,000$
Noel Acciari	Jets	C	24	1991-01-01	Yes	208 Lbs	5 ft10	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	No
Robert Hagg	Jets	D	20	1995-01-01	Yes	185 Lbs	6 ft2	No	No	No	4	Pro & Farm	975,000$	975,000$	0$	No	1,000,000$	1,500,000$	2,000,000$
Ronalds Kenins	Jets	LW	24	1991-01-01	No	201 Lbs	6 ft0	No	No	No	1	Pro Only	1,000,000$	1,000,000$	0$	No
Ryan Johansen	Jets	C	23	1992-01-01	No	223 Lbs	6 ft3	No	No	No	3	Pro Only	4,500,000$	4,500,000$	0$	No	5,500,000$	6,500,000$
Tyler Myers	Jets	D	25	1990-01-01	No	227 Lbs	6 ft8	No	No	No	2	Pro Only	3,750,000$	3,750,000$	0$	No	4,000,000$
Victor Hedman	Jets	D	25	1990-01-01	No	233 Lbs	6 ft6	No	No	No	2	Pro Only	3,750,000$	3,750,000$	0$	No	4,500,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	24.15	201 Lbs	6 ft2	2.30	2,736,250$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
54,725,000$	51,000,000$	36,150,000$	13,000,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Adam Henrique	Derek Stepan	Corey Perry	40	1	2	2
2	Marcus Johansson	Ryan Johansen	Nino Niederreiter	30	1	2	2
3	Erik Haula	Noel Acciari	Jimmy Vesey	20	1	2	2
4	Ronalds Kenins	Miro Aaltonen	Josh Bailey	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Myers	Marco Scandella	40	1	2	2
2	Victor Hedman	Dougie Hamilton	30	1	2	2
3	Michael Matheson	Robert Hagg	20	1	2	2
4	Tyler Myers	Marco Scandella	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Adam Henrique	Derek Stepan	Corey Perry	60	1	2	2
2	Marcus Johansson	Ryan Johansen	Nino Niederreiter	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Myers	Marco Scandella	60	1	2	2
2	Victor Hedman	Dougie Hamilton	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Corey Perry	Derek Stepan	60	1	2	2
2	Adam Henrique	Nino Niederreiter	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Myers	Marco Scandella	60	1	2	2
2	Victor Hedman	Dougie Hamilton	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Corey Perry	60	1	2	2	Tyler Myers	Marco Scandella	60	1	2	2
2	Derek Stepan	40	1	2	2	Victor Hedman	Dougie Hamilton	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Corey Perry	Derek Stepan	60	1	2	2
2	Adam Henrique	Nino Niederreiter	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Myers	Marco Scandella	60	1	2	2
2	Victor Hedman	Dougie Hamilton	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Adam Henrique	Derek Stepan	Corey Perry	Tyler Myers	Marco Scandella

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Adam Henrique	Derek Stepan	Corey Perry	Tyler Myers	Marco Scandella

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Erik Haula, Ronalds Kenins, Jimmy Vesey	Erik Haula, Ronalds Kenins	Jimmy Vesey

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Michael Matheson, Robert Hagg, Victor Hedman	Michael Matheson	Robert Hagg, Victor Hedman

Tirs de Pénalité
Corey Perry, Derek Stepan, Adam Henrique, Nino Niederreiter, Marcus Johansson

Gardien
#1 : Jacob Markstrom, #2 : Jonathan Bernier

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

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

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Avalanche	3	2	1	0	0	0	0	0	16	12	4	2	2	0	0	0	0	0	0	11	5	6	1	0	1	0	0	0	0	0	5	7	-2	4	0.667	16	29	45	0	0	3	7	6	0	88	34	26	28	0	110	34	28	52	13	3	23.08%	14	3	78.57%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	64	37	65	26	49	25
2	Blackhawks	3	1	1	0	0	0	0	1	8	9	-1	2	1	1	0	0	0	0	0	5	5	0	1	0	0	0	0	0	0	1	3	4	-1	3	0.500	8	13	21	1	0	4	2	2	0	82	26	23	32	4	86	26	30	68	11	3	27.27%	15	2	86.67%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	64	34	66	28	53	25
3	Blue Jackets	3	1	2	0	0	0	0	0	7	15	-8	1	1	0	0	0	0	0	0	2	0	2	2	0	2	0	0	0	0	0	5	15	-10	2	0.333	7	10	17	0	1	4	0	3	0	101	44	22	35	0	104	22	41	51	16	1	6.25%	18	4	77.78%	1	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	66	40	64	27	49	23
4	Blues	2	0	2	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	3	4	7	0	0	0	2	1	0	51	21	14	16	0	58	20	24	35	8	0	0.00%	12	1	91.67%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	39	20	43	19	37	17
5	Bruins	4	0	3	0	0	1	0	0	8	13	-5	3	0	2	0	0	1	0	0	7	11	-4	1	0	1	0	0	0	0	0	1	2	-1	1	0.125	8	14	22	0	0	5	1	2	0	131	52	42	37	0	144	45	24	89	16	0	0.00%	12	3	75.00%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	83	47	89	37	67	34
6	Canadiens	6	4	2	0	0	0	0	0	29	18	11	3	2	1	0	0	0	0	0	12	8	4	3	2	1	0	0	0	0	0	17	10	7	8	0.667	29	47	76	1	0	7	11	11	0	192	48	70	74	0	188	72	58	148	34	6	17.65%	29	5	82.76%	1	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	129	72	125	54	104	53
7	Canucks	2	0	0	0	0	1	1	0	5	5	0	1	0	0	0	0	1	0	0	2	3	-1	1	0	0	0	0	0	1	0	3	2	1	3	0.750	5	7	12	0	0	1	2	1	1	64	30	20	13	4	50	26	10	48	4	0	0.00%	5	1	80.00%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	45	25	44	18	36	17
8	Capitals	3	1	2	0	0	0	0	0	8	7	1	2	1	1	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	3	4	-1	2	0.333	8	12	20	0	0	0	5	3	0	84	12	32	40	0	90	26	24	68	14	0	0.00%	12	0	100.00%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	62	31	63	29	54	29
9	Devils	2	0	2	0	0	0	0	0	5	11	-6	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	5	8	13	1	0	3	1	1	0	57	22	16	19	0	69	25	16	38	4	1	25.00%	8	1	87.50%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	41	22	44	16	34	16
10	Flames	2	0	2	0	0	0	0	0	6	10	-4	1	0	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	6	11	17	0	0	2	1	3	0	53	15	15	23	0	61	17	18	36	8	1	12.50%	9	3	66.67%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	39	20	42	18	38	19
11	Flyers	7	2	3	0	1	0	0	1	28	32	-4	3	1	1	0	0	0	0	1	15	17	-2	4	1	2	0	1	0	0	0	13	15	-2	7	0.500	28	47	75	0	0	10	13	4	3	226	66	89	65	10	207	88	68	137	27	6	22.22%	34	8	76.47%	1	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	152	88	147	66	124	60
12	Golden Knights	2	2	0	0	0	0	0	0	11	7	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	7	5	2	4	1.000	11	20	31	0	0	0	7	4	0	62	9	33	20	0	62	25	12	25	11	3	27.27%	6	1	83.33%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	41	24	43	19	34	17
13	Islanders	3	1	1	0	0	0	1	0	15	13	2	1	0	0	0	0	0	1	0	5	4	1	2	1	1	0	0	0	0	0	10	9	1	4	0.667	15	25	40	0	0	6	2	6	1	97	32	22	42	3	98	39	36	74	9	3	33.33%	18	5	72.22%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	63	36	66	29	54	25
14	Kings	3	1	2	0	0	0	0	0	13	14	-1	1	1	0	0	0	0	0	0	6	3	3	2	0	2	0	0	0	0	0	7	11	-4	2	0.333	13	22	35	1	0	4	6	3	0	95	43	29	23	0	104	37	18	68	10	2	20.00%	9	2	77.78%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	67	40	62	25	50	25
15	Lightning	2	0	0	0	0	1	1	0	7	7	0	1	0	0	0	0	0	1	0	5	4	1	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	7	10	17	0	0	3	2	1	2	61	19	28	13	8	66	29	10	40	12	1	8.33%	5	1	80.00%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	44	25	48	20	36	18
16	Maple Leafs	4	3	1	0	0	0	0	0	14	10	4	2	2	0	0	0	0	0	0	7	3	4	2	1	1	0	0	0	0	0	7	7	0	6	0.750	14	23	37	1	1	4	3	7	0	121	30	44	47	0	134	45	34	72	16	3	18.75%	16	2	87.50%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	78	44	92	39	69	32
17	Oilers	6	2	4	0	0	0	0	0	18	19	-1	3	2	1	0	0	0	0	0	11	9	2	3	0	3	0	0	0	0	0	7	10	-3	4	0.333	18	26	44	0	0	8	3	7	0	172	56	41	75	0	176	50	86	114	35	5	14.29%	42	4	90.48%	1	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	131	73	123	57	104	50
18	Panthers	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	1	4	-3	1	1	0	0	0	0	0	0	4	1	3	2	0.500	5	5	10	0	0	1	2	2	0	56	27	17	12	0	62	23	24	37	6	1	16.67%	12	0	100.00%	1	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	41	20	42	20	36	17
19	Penguins	2	1	1	0	0	0	0	0	11	9	2	1	0	1	0	0	0	0	0	5	7	-2	1	1	0	0	0	0	0	0	6	2	4	2	0.500	11	19	30	0	0	3	2	6	0	69	19	18	32	0	76	23	18	45	9	2	22.22%	9	1	88.89%	1	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	41	23	42	16	35	17
20	Predators	3	1	1	0	0	0	1	0	12	13	-1	2	0	1	0	0	0	1	0	3	7	-4	1	1	0	0	0	0	0	0	9	6	3	4	0.667	12	19	31	0	0	7	2	2	1	90	40	26	24	3	92	25	34	48	13	4	30.77%	17	0	100.00%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	61	34	68	28	54	25
21	Rangers	2	1	1	0	0	0	0	0	5	7	-2	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	5	8	13	0	0	2	0	3	0	59	17	18	24	0	67	22	18	44	7	0	0.00%	9	1	88.89%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	43	24	43	18	33	16
22	Red Wings	7	2	1	0	2	1	0	1	30	28	2	3	2	0	0	0	1	0	0	14	12	2	4	0	1	0	2	0	0	1	16	16	0	10	0.714	30	50	80	0	0	10	8	10	3	211	62	66	81	6	233	81	62	165	27	8	29.63%	30	4	86.67%	1	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	145	79	160	70	126	60
23	Senateurs	2	1	1	0	0	0	0	0	9	9	0	1	1	0	0	0	0	0	0	7	3	4	1	0	1	0	0	0	0	0	2	6	-4	2	0.500	9	18	27	0	0	6	0	3	0	70	25	17	28	0	50	20	15	38	13	0	0.00%	5	2	60.00%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	46	27	38	19	35	18
24	Sharks	3	1	2	0	0	0	0	0	8	10	-2	1	1	0	0	0	0	0	0	4	2	2	2	0	2	0	0	0	0	0	4	8	-4	2	0.333	8	15	23	0	0	3	2	3	0	79	32	27	20	0	87	29	34	72	11	2	18.18%	17	3	82.35%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	63	34	62	28	54	26
25	Stars	2	1	1	0	0	0	0	0	5	8	-3	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	6	-5	2	0.500	5	9	14	0	0	1	2	2	0	62	28	16	18	0	68	16	25	42	7	0	0.00%	6	1	83.33%	0	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	41	23	45	19	33	16
	Total	80	29	37	0	3	4	4	3	286	299	-13	40	20	13	0	0	3	3	1	147	133	14	40	9	24	0	3	1	1	2	139	166	-27	79	0.494	286	471	757	5	2	97	86	96	11	2433	809	771	841	38	2542	865	767	1654	341	55	16.13%	369	58	84.28%	7	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	1701	953	1737	756	1409	694
	_Since Last GM Reset	80	29	37	0	3	4	4	3	286	299	-13	40	20	13	0	0	3	3	1	147	133	14	40	9	24	0	3	1	1	2	139	166	-27	79	0.494	286	471	757	5	2	97	86	96	11	2433	809	771	841	38	2542	865	767	1654	341	55	16.13%	369	58	84.28%	7	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	1701	953	1737	756	1409	694
	_Vs Conference	51	20	22	0	3	1	2	3	190	188	2	24	14	6	0	0	1	2	1	89	73	16	27	6	16	0	3	0	0	2	101	115	-14	54	0.529	190	309	499	4	2	67	57	61	8	1550	491	491	558	26	1599	540	525	1085	223	43	19.28%	257	39	84.82%	5	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	1088	610	1103	486	900	440
	_Vs Division	26	10	10	0	3	1	0	2	105	97	8	12	7	3	0	0	1	0	1	52	46	6	14	3	7	0	3	0	0	1	53	51	2	29	0.558	105	170	275	1	0	35	35	32	6	801	232	266	295	16	804	291	274	564	123	25	20.33%	135	21	84.44%	4	912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%	559	314	557	248	459	225

			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
80	79	L4	286	471	757	2433	2542	865	767	1654	5	2

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
80	29	37	3	4	4	3	286	299

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	20	13	0	3	3	1	147	133

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	9	24	3	1	1	2	139	166

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	5	1	0	2	1

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
341	55	16.13%	369	58	84.28%	7

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
809	771	841	38	97	86	96	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
912	1843	49.48%	1041	1981	52.55%	595	1209	49.21%

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
1701	953	1737	756	1409	694

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	RI	Lien
1 - 2020-10-09	1	Jets	4	Red Wings	5	L			R1	Sommaire du Match
2 - 2020-10-10	8	Jets	2	Flyers	5	L				Sommaire du Match
5 - 2020-10-13	23	Canadiens	3	Jets	5	W				Sommaire du Match
6 - 2020-10-14	32	Jets	4	Red Wings	3	W	X		R1	Sommaire du Match
9 - 2020-10-17	46	Jets	3	Canadiens	5	L				Sommaire du Match
10 - 2020-10-18	52	Red Wings	4	Jets	5	W			R1	Sommaire du Match
16 - 2020-10-24	74	Bruins	4	Jets	3	L	X			Sommaire du Match
18 - 2020-10-26	86	Jets	2	Flyers	4	L				Sommaire du Match
20 - 2020-10-28	99	Flyers	6	Jets	7	W				Sommaire du Match
23 - 2020-10-31	115	Jets	2	Oilers	3	L			R1	Sommaire du Match
25 - 2020-11-02	123	Oilers	4	Jets	2	L				Sommaire du Match
27 - 2020-11-04	137	Jets	1	Sharks	4	L				Sommaire du Match
29 - 2020-11-06	147	Jets	5	Canadiens	3	W				Sommaire du Match
30 - 2020-11-07	154	Red Wings	3	Jets	5	W			R1	Sommaire du Match
32 - 2020-11-09	169	Jets	4	Red Wings	3	W	X			Sommaire du Match
34 - 2020-11-11	180	Blackhawks	3	Jets	1	L				Sommaire du Match
37 - 2020-11-14	196	Jets	4	Islanders	6	L				Sommaire du Match
39 - 2020-11-16	208	Capitals	2	Jets	1	L				Sommaire du Match
42 - 2020-11-19	222	Jets	3	Canucks	2	W	X	X		Sommaire du Match
44 - 2020-11-21	234	Panthers	4	Jets	1	L				Sommaire du Match
46 - 2020-11-23	247	Jets	1	Flames	4	L				Sommaire du Match
48 - 2020-11-25	254	Jets	9	Canadiens	2	W				Sommaire du Match
49 - 2020-11-26	260	Flames	6	Jets	5	L				Sommaire du Match
53 - 2020-11-30	276	Jets	3	Blackhawks	4	L	X	X		Sommaire du Match
54 - 2020-12-01	286	Golden Knights	2	Jets	4	W				Sommaire du Match
60 - 2020-12-07	311	Blackhawks	2	Jets	4	W				Sommaire du Match
63 - 2020-12-10	325	Jets	4	Panthers	1	W				Sommaire du Match
65 - 2020-12-12	336	Lightning	4	Jets	5	W	X	X		Sommaire du Match
67 - 2020-12-14	346	Jets	5	Avalanche	7	L				Sommaire du Match
70 - 2020-12-17	362	Bruins	4	Jets	2	L				Sommaire du Match
72 - 2020-12-19	376	Jets	1	Rangers	4	L				Sommaire du Match
75 - 2020-12-22	388	Jets	1	Stars	6	L				Sommaire du Match
76 - 2020-12-23	394	Kings	3	Jets	6	W				Sommaire du Match
79 - 2020-12-26	414	Blues	5	Jets	2	L				Sommaire du Match
84 - 2020-12-31	434	Stars	2	Jets	4	W				Sommaire du Match
86 - 2021-01-02	444	Jets	6	Penguins	2	W				Sommaire du Match
88 - 2021-01-04	459	Blue Jackets	0	Jets	2	W			R1	Sommaire du Match
92 - 2021-01-08	475	Jets	1	Bruins	2	L				Sommaire du Match
94 - 2021-01-10	485	Bruins	3	Jets	2	L				Sommaire du Match
96 - 2021-01-12	495	Jets	3	Sharks	4	L				Sommaire du Match
98 - 2021-01-14	507	Jets	2	Senateurs	6	L				Sommaire du Match
100 - 2021-01-16	514	Senateurs	3	Jets	7	W				Sommaire du Match
103 - 2021-01-19	531	Jets	4	Devils	6	L				Sommaire du Match
105 - 2021-01-21	541	Red Wings	5	Jets	4	L	X		R1	Sommaire du Match
109 - 2021-01-25	558	Jets	7	Golden Knights	5	W				Sommaire du Match
111 - 2021-01-27	568	Rangers	3	Jets	4	W				Sommaire du Match
114 - 2021-01-30	584	Jets	9	Predators	6	W			R1	Sommaire du Match
116 - 2021-02-01	592	Jets	2	Lightning	3	L	X			Sommaire du Match
117 - 2021-02-02	597	Penguins	7	Jets	5	L				Sommaire du Match
122 - 2021-02-07	619	Oilers	2	Jets	5	W			R1	Sommaire du Match
126 - 2021-02-11	642	Devils	5	Jets	1	L				Sommaire du Match
130 - 2021-02-15	663	Jets	1	Blues	3	L				Sommaire du Match
132 - 2021-02-17	667	Canucks	3	Jets	2	L	X			Sommaire du Match
135 - 2021-02-20	687	Jets	6	Islanders	3	W				Sommaire du Match
136 - 2021-02-21	694	Capitals	1	Jets	4	W				Sommaire du Match
140 - 2021-02-25	716	Maple Leafs	3	Jets	4	W				Sommaire du Match
145 - 2021-03-02	740	Avalanche	3	Jets	5	W				Sommaire du Match
147 - 2021-03-04	752	Jets	4	Flyers	2	W				Sommaire du Match
149 - 2021-03-06	765	Avalanche	2	Jets	6	W				Sommaire du Match
151 - 2021-03-08	780	Jets	3	Oilers	4	L			R1	Sommaire du Match
153 - 2021-03-10	790	Maple Leafs	0	Jets	3	W				Sommaire du Match
156 - 2021-03-13	806	Jets	2	Oilers	3	L			R1	Sommaire du Match
157 - 2021-03-14	815	Flyers	5	Jets	3	L				Sommaire du Match
160 - 2021-03-17	830	Jets	3	Maple Leafs	5	L				Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
162 - 2021-03-19	843	Oilers	3	Jets	4	W			R1	Sommaire du Match
164 - 2021-03-21	856	Jets	4	Maple Leafs	2	W				Sommaire du Match
166 - 2021-03-23	865	Jets	3	Blue Jackets	6	L			R1	Sommaire du Match
168 - 2021-03-25	873	Sharks	2	Jets	4	W				Sommaire du Match
169 - 2021-03-26	886	Jets	2	Blue Jackets	9	L			R1	Sommaire du Match
172 - 2021-03-29	898	Flyers	6	Jets	5	L	X	X		Sommaire du Match
176 - 2021-04-02	922	Islanders	4	Jets	5	W	X	X		Sommaire du Match
177 - 2021-04-03	925	Jets	4	Red Wings	5	L	X	X	R1	Sommaire du Match
181 - 2021-04-07	945	Predators	1	Jets	2	W	X	X	R1	Sommaire du Match
185 - 2021-04-11	968	Canadiens	4	Jets	3	L				Sommaire du Match
186 - 2021-04-12	975	Jets	5	Flyers	4	W	X			Sommaire du Match
190 - 2021-04-16	993	Canadiens	1	Jets	4	W				Sommaire du Match
192 - 2021-04-18	1002	Jets	4	Kings	6	L				Sommaire du Match
194 - 2021-04-20	1016	Predators	6	Jets	1	L			R1	Sommaire du Match
196 - 2021-04-22	1023	Jets	3	Kings	5	L				Sommaire du Match
197 - 2021-04-23	1027	Jets	3	Capitals	4	L				Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des Billets	105	65	42	24	182
Assistance	231,347	194,139	74,411	157,131	38,153
Attendance PCT	96.39%	97.07%	93.01%	98.21%	95.38%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
0	17380 - 96.55%	1,460,478$	58,419,102$	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
56,467,125$	54,725,000$	49,175,000$	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
273,625$	53,969,000$	3,345,954$	20	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	284,625$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	3,807,665$	3,807,665$

Cap Salarial de la Saison Éstimé	Cap Salarial Disponible	Cap Salarial Maximum	Au dessus du Plafond Salarial Minimum
53,969,000$	2,031,000$	56,000,000$	20,969,000$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Adam Henrique	AGE:25	PO:43	OV:77
Marcus Johansson	AGE:25	PO:41	OV:76
Erik Haula	AGE:24	PO:49	OV:75
Ronalds Kenins	AGE:24	PO:42	OV:72
Dwight King	AGE:26	PO:32	OV:71
Jordan Martinook (R)	AGE:23	PO:50	OV:70
Nathan Walker (R)	AGE:21	PO:60	OV:66
Brendan Perlini (R)	AGE:19	PO:66	OV:63
Oskar Lindblom (R)	AGE:19	PO:68	OV:61
Mackenzie MacEachern (R)	AGE:21	PO:45	OV:61

Derek Stepan	AGE:25	PO:42	OV:78
Ryan Johansen	AGE:23	PO:57	OV:76
Miro Aaltonen (R)	AGE:22	PO:47	OV:71
Noel Acciari (R)	AGE:24	PO:42	OV:71
Cedric Paquette (R)	AGE:22	PO:50	OV:65
Nicolas Petan (R)	AGE:20	PO:62	OV:64
Dominik Kahun (R)	AGE:20	PO:68	OV:63
Mitchell Stephens (R)	AGE:18	PO:76	OV:57
Colin White (R)	AGE:18	PO:70	OV:57
John Hayden (R)	AGE:20	PO:55	OV:57
Jansen Harkins (R)	AGE:18	PO:62	OV:49

Corey Perry	AGE:30	PO:23	OV:78
Nino Niederreiter	AGE:23	PO:53	OV:77
Jimmy Vesey (R)	AGE:22	PO:52	OV:72
Iiro Pakarinen (R)	AGE:24	PO:41	OV:70
Josh Bailey	AGE:26	PO:35	OV:70
Vince Hinostroza (R)	AGE:21	PO:55	OV:68
Nikolaj Ehlers (R)	AGE:19	PO:70	OV:67
Frank Vatrano (R)	AGE:21	PO:67	OV:67
Nikolay Goldobin (R)	AGE:19	PO:67	OV:64
Nicklas Jensen (R)	AGE:22	PO:51	OV:63
Jeremy Bracco (R)	AGE:18	PO:71	OV:60
Jayce Hawryluk (R)	AGE:19	PO:60	OV:54
David Kase (R)	AGE:18	PO:62	OV:53

Défense #1

Défense #2

Gardien

Tyler Myers	AGE:25	PO:40	OV:80
Marco Scandella	AGE:25	PO:36	OV:78
Victor Hedman	AGE:25	PO:45	OV:77
Dougie Hamilton	AGE:22	PO:56	OV:75
Michael Matheson (R)	AGE:21	PO:52	OV:71
Robert Hagg (R)	AGE:20	PO:58	OV:69
Troy Stetcher (R)	AGE:21	PO:61	OV:68
Mirco Mueller (R)	AGE:20	PO:60	OV:66
Vladislav Gavrikov (R)	AGE:20	PO:64	OV:65

Ludwig Bystrom (R)	AGE:21	PO:50	OV:65
Matthew Benning (R)	AGE:21	PO:55	OV:62
Alexandre Carrier (R)	AGE:19	PO:71	OV:61
Jesse Graham (R)	AGE:21	PO:50	OV:61
John Marino (R)	AGE:18	PO:71	OV:60
Sami Niku (R)	AGE:19	PO:64	OV:59
William Lagesson (R)	AGE:19	PO:66	OV:58
Ryan Collins (R)	AGE:19	PO:60	OV:54

Jacob Markstrom	AGE:25	PO:42	OV:79
Jonathan Bernier	AGE:27	PO:32	OV:79
Magnus Hellberg	AGE:24	PO:37	OV:70
Philippe Desrosiers	AGE:20	PO:59	OV:58
Joey Daccord (R)	AGE:19	PO:70	OV:56

Éspoirs

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total	Information	Lien

Choix au Repêchage

Année	R1	R2	R3	R4	R5
14
15
16
17
18

[2021-05-01 9:12:15 PM] - Jordan Martinook has been selected as assistant for Moose.
[2021-05-01 9:12:15 PM] - Unknown Player is no longer as assistant for Moose.
[2021-05-01 9:12:15 PM] - Victor Hedman has been selected as assistant for Jets.
[2021-05-01 9:12:15 PM] - Unknown Player is no longer as assistant for Jets.
[2021-05-01 9:12:15 PM] - Corey Perry has been selected as captain for Jets.
[2021-05-01 9:12:15 PM] - Unknown Player is no longer captain for Jets.
[2021-04-21 7:20:45 PM] - Nathan Walker has been selected as assistant for Moose.
[2021-04-21 7:20:45 PM] - Jordan Martinook is no longer as assistant for Moose.
[2021-04-21 7:20:45 PM] - Jordan Martinook has been selected as assistant for Moose.
[2021-04-21 7:20:45 PM] - Unknown Player is no longer as assistant for Moose.
[2021-04-21 7:20:45 PM] - Iiro Pakarinen has been selected as captain for Moose.
[2021-04-21 7:20:45 PM] - Unknown Player is no longer captain for Moose.
[2021-04-01 6:58:13 PM] - Team Name Change : Knights changed name to Moose
[2021-03-28 8:01:34 PM] - TRADE : From Blues to Jets : Colin White (57).
[2021-03-28 8:01:34 PM] - TRADE : From Jets to Blues : Alan Quine (63), Y:16-RND:3-Win.
[2021-03-04 7:35:56 PM] - John Hayden signed with Jets for $350,000 for 1 year(s).
[2021-03-04 7:35:56 PM] - John Hayden was added to Jets.
[2021-03-04 7:35:39 PM] - Jansen Harkins signed with Jets for $350,000 for 1 year(s).
[2021-03-04 7:35:39 PM] - Jansen Harkins was added to Jets.
[2021-03-03 7:22:56 PM] - TRADE : From Jets to Canucks : Brendan Gaunce (67), Kari Lehtonen (78), Elvis Merzlikins (69), Y:14-RND:2-Win, Y:14-RND:3-Win.
[2021-03-03 7:22:56 PM] - TRADE : From Canucks to Jets : Jacob Markstrom (79), Y:14-RND:2-Vgs.
[2021-02-03 7:01:52 PM] - TRADE : From Kings to Jets : Brendan Perlini (63), Dougie Hamilton (75), Jimmy Vesey (72), Victor Hedman (77).
[2021-02-03 7:01:52 PM] - TRADE : From Jets to Kings : Alex Iafallo (68), Jaccob Slavin (72), Jacob Trouba (76), Jeff Petry (69), Kevin Hayes (73).
[2021-01-23 8:55:08 PM] - TRADE : From Jets to Kings : Curtis Lazar (64), Martin Frk (66).
[2021-01-23 8:55:08 PM] - TRADE : From Kings to Jets : Cedric Paquette (65), Y:3-RND:0-, Y:16-RND:4-LAK, Y:18-RND:4-LAK.
[2021-01-05 7:01:25 PM] - TRADE : From Blues to Jets : Mirco Mueller (66), Alex Iafallo (68).
[2021-01-05 7:01:25 PM] - TRADE : From Jets to Blues : Tony DeAngelo (65), Scott Wilson (65).
[2021-01-04 9:49:27 PM] - TRADE : From Jets to Kings : Ryan Strome (71), Sam Gagner (74), Jared Spurgeon (72), Bobby Ryan (76).
[2021-01-04 9:49:27 PM] - TRADE : From Kings to Jets : Corey Perry (78), Frank Vatrano (67), Y:14-RND:3-EDM.
[2020-12-20 9:32:50 PM] - Josh Bailey has been selected as captain for Knights.
[2020-12-20 9:32:50 PM] - Unknown Player is no longer captain for Knights.
[2020-12-19 7:13:18 PM] - TRADE : From Maple Leafs to Jets : Iiro Pakarinen (70), Jesse Graham (61), Y:14-RND:5-Tor.
[2020-12-19 7:13:18 PM] - TRADE : From Jets to Maple Leafs : Linden Vey (70), Y:14-RND:4-STL.
[2020-10-16 9:46:38 PM] - Jordan Martinook has been selected as assistant for Knights.
[2020-10-16 9:46:38 PM] - Unknown Player is no longer as assistant for Knights.
[2020-10-16 9:46:38 PM] - Linden Vey has been selected as assistant for Knights.
[2020-10-16 9:46:38 PM] - Unknown Player is no longer as assistant for Knights.
[2020-10-15 6:50:59 PM] - TRADE : From Jets to Kings : Collin Miller (67), Olli Maatta (71).
[2020-10-15 6:50:59 PM] - TRADE : From Kings to Jets : Jeff Petry (69), Robert Hagg (69), Y:14-RND:3-LAK.

[2021-05-13 6:58:41 PM] Successfully loaded Jets lines done with STHS Client - 3.2.5.5
[2021-05-13 6:58:41 PM] Nikolaj Ehlers of Jets was sent down to farm.
[2021-05-13 6:58:41 PM] Josh Bailey of Jets was sent to pro.
[2021-05-12 8:09:00 PM] Auto Lines Function has been run for Moose.
[2021-05-12 8:09:00 PM] Auto Roster Farm Only Function has been run for Jets.
[2021-05-11 7:05:51 PM] Auto Lines Function has been run for Moose.
[2021-05-11 7:05:51 PM] Auto Roster Farm Only Function has been run for Jets.
[2021-05-08 8:44:42 PM] Auto Lines Function has been run for Moose.
[2021-05-08 8:44:42 PM] Auto Roster Farm Only Function has been run for Jets.
[2021-05-07 8:01:34 PM] Game 1009 - Nathan Walker from Moose is injured (Right Eye) and is out for 2 weeks.
[2021-05-07 8:01:21 PM] Successfully loaded Jets lines done with STHS Client - 3.2.5.5
[2021-05-07 8:01:21 PM] Nikolaj Ehlers of Jets was sent to pro.
[2021-05-07 8:01:21 PM] Josh Bailey of Jets was sent down to farm.
[2021-05-06 7:06:22 PM] Successfully loaded Jets lines done with STHS Client - 3.2.5.5
[2021-05-05 7:01:14 PM] Successfully loaded Jets lines done with STHS Client - 3.2.5.5
[2021-05-05 7:01:14 PM] Josh Bailey of Jets was sent to pro.
[2021-05-05 7:01:14 PM] Frank Vatrano of Jets was sent down to farm.
[2021-05-04 7:47:49 PM] Successfully loaded Jets lines done with STHS Client - 3.2.5.5
[2021-05-03 9:55:32 PM] Successfully loaded Jets lines done with STHS Client - 3.2.5.5
[2021-05-02 8:13:09 PM] Jets lines for next game are empty. Current rosters/lines are not erased.
[2021-05-01 9:12:15 PM] Successfully loaded Jets lines done with STHS Client - 3.2.5.5
[2021-04-30 7:09:12 PM] Successfully loaded Jets lines done with STHS Client - 3.2.5.5
[2021-04-30 7:09:11 PM] Jordan Martinook of Jets was sent down to farm.
[2021-04-29 7:00:38 PM] Adam Henrique from Jets is back from Broken Bone (Left Leg) Injury.
[2021-04-26 7:18:21 PM] Successfully loaded Jets lines done with STHS Client - 3.2.5.5
[2021-04-26 7:18:21 PM] Nikolaj Ehlers of Jets was sent down to farm.
[2021-04-26 7:18:21 PM] Josh Bailey of Jets was sent down to farm.
[2021-04-26 7:18:21 PM] Jordan Martinook of Jets was sent to pro.
[2021-04-26 7:18:21 PM] Frank Vatrano of Jets was sent to pro.
[2021-04-24 9:23:21 PM] Frank Vatrano from Moose is back from Torso Injury.
[2021-04-21 7:20:45 PM] Successfully loaded Jets lines done with STHS Client - 3.2.5.5
[2021-04-18 7:19:48 PM] Successfully loaded Jets lines done with STHS Client - 3.2.5.5
[2021-04-18 7:19:48 PM] Nikolaj Ehlers of Jets was sent to pro.
[2021-04-17 7:06:02 PM] Game 925 - Adam Henrique from Jets is injured (Broken Bone (Left Leg)) and is out for 2 weeks.
[2021-04-17 7:06:01 PM] Game 913 - Frank Vatrano from Moose is injured (Torso) and is out for 1 week.
[2021-04-17 7:06:00 PM] Game 913 - Mirco Mueller from Moose is injured (Bruised Right Arm) and is out for 2 months.
[2021-04-17 7:05:51 PM] Successfully loaded Jets lines done with STHS Client - 3.2.5.5
[2021-04-16 7:01:04 PM] Successfully loaded Jets lines done with STHS Client - 3.2.5.5
[2021-04-15 7:14:14 PM] Successfully loaded Jets lines done with STHS Client - 3.2.5.5
[2021-04-15 7:14:14 PM] Josh Bailey of Jets was sent to pro.
[2021-04-15 7:14:14 PM] Frank Vatrano of Jets was sent down to farm.
[2021-04-12 7:01:27 PM] Jets lines for next game are empty. Current rosters/lines are not erased. But, Moose lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2021-04-09 7:17:05 PM] Jets lines for next game are empty. Current rosters/lines are not erased.
[2021-04-09 7:14:52 PM] Successfully loaded Jets lines done with STHS Client - 3.2.5.5

Mirco Mueller est dehors pour 0 jours à cause de Bruised Right Arm Injury.
Nathan Walker est dehors pour 0 jours à cause de Right Eye Injury.

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

	Jets
	GP: 80 \| W: 36 \| L: 37 \| OTL: 7 \| P: 79 GF: 286 \| GA: 299 \| PP%: 16.13% \| PK%: 84.28% DG: Pascal Verret \| Morale : 31 \| Moyenne d'Équipe : 75