Profi League

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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	Jordan Staal (C)	X				99.00	72	37	93	77	85	90	92	83	90	50	49	69	59	92	97	0	49	73	0
2	Jussi Jokinen (A)	X	X	X		99.00	58	34	92	75	81	87	90	83	73	48	46	68	62	97	99	0	49	70	0
3	Chris Stewart		X	X		100.00	66	80	83	70	82	72	92	77	43	42	46	60	78	85	85	0	49	66	0
4	Ryan Strome	X		X		100.00	63	37	92	75	80	80	88	82	73	46	46	61	74	71	71	0	49	66	0
5	Cody Eakin	X	X			100.00	65	37	90	69	75	85	85	76	85	44	41	72	58	78	78	0	49	66	0
6	Oscar Lindberg (R)	X				100.00	70	36	90	69	77	74	85	80	78	44	45	61	59	62	62	0	49	64	0
7	Nick Bjugstad	X				100.00	67	32	93	70	80	80	78	78	76	42	44	60	64	73	73	0	49	64	0
8	Noel Acciari (R)	X		X		100.00	80	30	93	56	70	71	55	65	56	40	40	61	55	56	56	0	49	58	0
9	Michael Mersch		X	X		100.00	73	73	72	69	73	71	74	63	50	37	39	64	61	45	45	0	49	58	0
10	Casey Bailey		X	X		100.00	63	43	91	60	65	64	57	64	44	40	38	60	54	55	55	0	49	55	0
11	Jake Gardiner				X	100.00	71	30	94	82	84	88	98	87	37	51	44	74	60	79	79	0	49	74	0
12	Tobias Enstrom (A)				X	100.00	65	30	90	72	76	89	82	81	34	44	38	79	57	89	89	0	49	70	0
13	Marco Scandella				X	100.00	70	34	94	75	81	86	89	81	34	43	41	78	58	78	78	0	49	70	0
14	Mark Pysyk (R)				X	100.00	71	30	95	73	79	85	91	78	34	43	40	79	58	67	67	0	49	69	0
15	Eric Gryba				X	100.00	88	56	79	70	79	84	68	74	34	40	39	75	57	71	71	0	49	67	0
16	Carl Gunnarsson				X	100.00	69	32	98	65	73	81	80	72	34	40	37	75	55	82	82	0	49	66	0
Rayé
1	Yanni Gourde	X	X			94.31	58	33	90	62	65	79	56	68	57	40	48	66	57	55	55	0	41	58	0
2	Dalton Prout				X	100.00	76	45	79	61	74	81	63	67	34	42	38	73	55	70	70	0	45	63	0
3	Chris Bigras				X	100.00	72	71	77	77	71	68	72	52	25	39	29	61	40	46	46	0	45	58	0

	MOYENNE D'ÉQUIPE					99.58	69	42	89	70	76	80	79	74	52	43	41	68	59	71	71	0	48	65

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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	Darcy Kuemper	97.00	71	96	72	87	72	68	68	68	68	69	75	73	73	0	49	72	0
2	Jonas Gustavsson	100.00	65	96	66	84	69	61	61	63	64	64	73	80	80	0	49	69	0
Rayé

	MOYENNE D'ÉQUIPE	98.50	68	96	69	86	71	65	65	66	66	67	74	77	77	0	49	71

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Peter DeBoer	86	89	86	87	80	78	72	CAN	49	3	1,000,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPG	PKA	PKP	PKM	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS
1	Jussi Jokinen	Jets	C/LW/RW	4	1	2	3	-3	2	0	5	12	5	14	8.33%	2	22.:.34	0	0	0	4	1	50.00%	8	7	3	0	0	0.66	0	1
2	Jake Gardiner	Jets	D	4	0	3	3	-2	0	0	8	32	17	15	0.00%	10	23.:.01	0	0	0	6	0	0.00%	0	3	4	0	0	0.65	0	0
3	Oscar Lindberg	Jets	C	4	2	1	3	-1	0	0	8	10	2	13	20.00%	1	20.:.12	0	0	0	4	0	51.92%	52	4	0	0	0	0.74	0	0
4	Tobias Enstrom	Jets	D	4	1	1	2	-3	0	0	7	14	3	5	7.14%	6	21.:.34	0	0	0	6	0	0.00%	0	1	2	0	0	0.46	0	0
5	Chris Stewart	Jets	LW/RW	4	0	1	1	-2	2	0	9	8	6	8	0.00%	1	18.:.33	0	0	0	2	0	100.00%	1	11	1	0	0	0.27	1	1
6	Marco Scandella	Jets	D	4	0	1	1	-3	0	0	3	10	4	5	0.00%	2	21.:.46	0	0	0	5	0	0.00%	0	1	8	0	0	0.23	0	0
7	Jordan Staal	Jets	C	4	1	0	1	-4	0	0	4	10	1	6	10.00%	0	20.:.25	0	0	0	0	0	58.49%	53	12	0	0	0	0.24	0	1
8	Carl Gunnarsson	Jets	D	4	1	0	1	-3	0	0	0	6	2	1	16.67%	4	16.:.54	0	0	0	0	0	0.00%	0	1	1	0	0	0.30	0	0
9	Mark Pysyk	Jets	D	4	0	1	1	-3	0	0	5	5	4	2	0.00%	8	21.:.46	0	0	0	5	0	0.00%	0	2	6	0	0	0.23	0	0
10	Casey Bailey	Jets	LW/RW	4	0	0	0	-4	0	0	2	2	0	4	0.00%	0	12.:.02	0	0	0	0	0	25.00%	4	0	3	0	0	0.00	0	0
11	Noel Acciari	Jets	C/RW	4	0	0	0	-3	0	0	6	3	1	3	0.00%	1	14.:.16	0	0	0	0	0	66.67%	3	0	0	0	0	0.00	0	0
12	Yanni Gourde	Jets	C/LW	2	0	0	0	0	0	0	0	4	0	1	0.00%	0	08.:.19	0	0	0	1	0	0.00%	1	2	0	0	0	0.00	0	0
13	Michael Mersch	Jets	LW/RW	4	0	0	0	-4	2	0	4	3	0	3	0.00%	2	11.:.46	0	0	0	0	0	20.00%	25	0	0	0	0	0.00	0	0
14	Nick Bjugstad	Jets	C	4	0	0	0	-3	4	0	6	12	3	11	0.00%	2	14.:.52	0	0	0	3	0	69.44%	36	6	2	0	0	0.00	0	0
15	Ryan Strome	Jets	C/RW	4	0	0	0	-1	0	0	5	1	2	5	0.00%	1	14.:.47	0	0	0	0	0	100.00%	2	6	0	0	0	0.00	1	1
16	Cody Eakin	Jets	C/LW	4	0	0	0	-1	0	0	5	6	4	11	0.00%	2	17.:.39	0	0	0	0	0	50.00%	6	4	1	0	0	0.00	0	1
17	Eric Gryba	Jets	D	4	0	0	0	-4	6	0	6	5	2	2	0.00%	3	18.:.27	0	0	0	8	0	0.00%	0	4	5	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne			66	6	10	16	-44	16	0	83	92	143	56	109	4.20%	45	1179	17.87	9	59	0	0	0	49	0	1	52.88%	191	64	36	0	0	0.27	2	5	0	0	0	0	0	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 Gardien	Nom de l'Équipe	GP	W	L	PCT	GAA	MP	GA	SA	SAR	PS %	PSA	ST	BG	S1
1	Darcy Kuemper	Jets	4	1	2	88.7%	4.00	180	12	106	66	80.0%	5	3	1	1
2	Jonas Gustavsson	Jets	2	0	1	82.8%	4.76	63	5	29	17	0.0%	0	1	3	0
Stats d'équipe Total ou en Moyenne			6	1	3	0.874	4.18	244	17	135	83	0.800	5	4	4	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	Status	Type	Salaire Actuel	Salaire Restant	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Carl Gunnarsson	Jets	D	30	09.11.1986	No	197 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro Only	900,000$	900,000$	900,000$
Casey Bailey	Jets	LW/RW	25	22.10.1991	No	195 Lbs	6 ft3	Yes	No	No	1	Avec Restriction	Pro & Farm	1,800,000$	1,800,000$
Chris Bigras	Jets	D	22	22.02.1995 2:41:15	No	190 Lbs	6 ft1	No	No	No	2	Contrat d'Entrée	Pro Only	1,600,000$	1,600,000$	1,600,000$			Lien
Chris Stewart	Jets	LW/RW	29	30.10.1987	No	239 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	2,100,000$	2,100,000$
Cody Eakin	Jets	C/LW	26	25.05.1991	No	190 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	2,000,000$	2,000,000$	2,000,000$
Dalton Prout (Contrat à 1 Volet)	Jets	D	27	13.03.1990 0:09:41	No	229 Lbs	6 ft3	No	No	No	2	Sans Restriction	Pro & Farm	1,200,000$	1,200,000$	1,200,000$
Darcy Kuemper (Contrat à 1 Volet)	Jets	G	27	05.05.1990	No	205 Lbs	6 ft5	No	No	No	2	Sans Restriction	Pro Only	1,600,000$	1,600,000$	1,600,000$
Eric Gryba	Jets	D	29	18.04.1988	No	225 Lbs	6 ft4	No	No	No	2	Sans Restriction	Pro Only	600,000$	600,000$	600,000$
Jake Gardiner	Jets	D	27	04.07.1990 16:10:43	No	200 Lbs	6 ft2	No	No	No	4	Sans Restriction	Pro & Farm	3,600,000$	3,600,000$	3,600,000$	3,600,000$	3,600,000$
Jonas Gustavsson	Jets	G	33	24.04.1984	No	192 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	1,400,000$	1,400,000$
Jordan Staal	Jets	C	29	10.09.1988	No	220 Lbs	6 ft4	No	No	No	2	Sans Restriction	Pro Only	3,800,000$	3,800,000$	3,800,000$
Jussi Jokinen	Jets	C/LW/RW	34	01.04.1983	No	198 Lbs	5 ft11	No	No	No	3	Sans Restriction	Pro & Farm	3,700,000$	3,700,000$	3,700,000$	3,700,000$
Marco Scandella	Jets	D	27	23.02.1990	No	208 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	3,500,000$
Mark Pysyk	Jets	D	25	11.01.1992 4:39:55	Yes	200 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$
Michael Mersch	Jets	LW/RW	25	02.10.1992	No	198 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro Only	1,500,000$	1,500,000$				Lien
Nick Bjugstad	Jets	C	25	17.07.1992 1:15:39	No	218 Lbs	6 ft6	No	No	No	2	Avec Restriction	Pro & Farm	2,700,000$	2,700,000$	2,700,000$
Noel Acciari	Jets	C/RW	25	31.03.1992	Yes	208 Lbs	5 ft10	No	No	No	1	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$
Oscar Lindberg	Jets	C	25	29.10.1991	Yes	202 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	1,400,000$	1,400,000$
Ryan Strome	Jets	C/RW	24	11.07.1993 12:51:23	No	199 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	1,900,000$	1,900,000$
Tobias Enstrom	Jets	D	32	05.11.1984	No	180 Lbs	5 ft10	No	No	No	2	Sans Restriction	Pro & Farm	4,500,000$	4,500,000$	4,500,000$
Yanni Gourde	Jets	C/LW	25	15.12.1991	No	172 Lbs	5 ft9	No	No	No	1	Avec Restriction	Pro & Farm	1,300,000$	1,300,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	27.19	203 Lbs	6 ft2	1.76	2,100,000$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
44,100,000$	29,700,000$	10,800,000$	3,600,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jussi Jokinen	Jordan Staal	Ryan Strome	40	1	2	2
2	Cody Eakin	Oscar Lindberg	Chris Stewart	30	1	2	2
3		Nick Bjugstad	Noel Acciari	20	1	2	2
4		Michael Mersch	Casey Bailey	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jake Gardiner	Tobias Enstrom	35	1	2	2
2	Marco Scandella	Mark Pysyk	35	1	2	2
3	Carl Gunnarsson	Eric Gryba	30	1	2	2
4	Carl Gunnarsson	Jake Gardiner	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jussi Jokinen	Jordan Staal	Ryan Strome	60	0	2	3
2	Cody Eakin	Oscar Lindberg	Chris Stewart	40	0	2	3

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jake Gardiner	Tobias Enstrom	60	1	2	2
2	Marco Scandella	Mark Pysyk	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Eric Gryba	60	0	3	2
2	Cody Eakin		40	0	3	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jake Gardiner	Tobias Enstrom	60	1	2	2
2	Marco Scandella	Mark Pysyk	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Cody Eakin	60	0	4	1	Jake Gardiner	Tobias Enstrom	60	1	2	2
2	Jussi Jokinen	40	0	4	1	Marco Scandella	Mark Pysyk	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jordan Staal	Jussi Jokinen	60	1	2	2
2	Cody Eakin	Ryan Strome	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jake Gardiner	Tobias Enstrom	60	1	2	2
2	Marco Scandella	Mark Pysyk	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jussi Jokinen	Jordan Staal	Chris Stewart	Jake Gardiner	Tobias Enstrom

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jussi Jokinen	Jordan Staal	Chris Stewart	Jake Gardiner	Tobias Enstrom

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Oscar Lindberg, Noel Acciari, Nick Bjugstad	Oscar Lindberg, Noel Acciari	Nick Bjugstad

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Eric Gryba, Carl Gunnarsson		Eric Gryba, Carl Gunnarsson

Tirs de Pénalité
Jordan Staal, Jussi Jokinen, Cody Eakin, Ryan Strome, Chris Stewart

Gardien
#1 : Darcy Kuemper, #2 : Jonas Gustavsson

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

#	VS Équipe	GP	L	SOW	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PP%	PKA	PK GA	PK%	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	GF%	SH%	SV%	PDO	PDOBRK
1	Blue Jackets	1	1	0	2	3	-1	0	0.000	2	4	6	0	1	1	0	43	9	14	20	0	29	12	2	29	1	0.00%	1	0	100.00%	38	72	52.78%	37	60	61.67%	26	54	48.15%	22	13	20	8	17	8	40.0%	4.7%	89.7%	94.3	Unlucky
2	Canadiens	1	1	0	1	8	-7	0	0.000	1	1	2	0	1	0	0	37	6	11	20	0	36	11	2	21	2	0.00%	1	1	0.00%	38	72	52.78%	37	60	61.67%	26	54	48.15%	23	14	20	7	16	8	12.5%	2.7%	77.8%	80.5	Unlucky
3	Ducks	1	1	0	2	5	-3	0	0.000	2	4	6	0	1	1	0	32	5	11	16	0	30	9	6	15	0	0.00%	3	1	66.67%	38	72	52.78%	37	60	61.67%	26	54	48.15%	21	14	22	8	15	7	33.3%	6.3%	83.3%	89.6	Unlucky
4	Islanders	1	0	1	2	1	1	2	1.000	2	1	3	1	0	0	2	34	9	5	16	9	40	16	6	18	3	0.00%	3	0	100.00%	38	72	52.78%	37	60	61.67%	26	54	48.15%	21	12	29	9	14	6	66.7%	5.9%	97.5%	103.4	DULL
	Since Last GM Reset	4	3	1	7	17	-10	2	0.250	7	10	17	1	3	2	2	146	29	41	72	9	135	48	16	83	6	0.00%	8	2	75.00%	38	72	52.78%	37	60	61.67%	26	54	48.15%	88	55	93	33	63	31	31.8%	4.8%	87.4%	92.2	Unlucky
	Total	4	3	1	7	17	-10	2	0.250	7	10	17	1	3	2	2	146	29	41	72	9	135	48	16	83	6	0.00%	8	2	75.00%	38	72	52.78%	37	60	61.67%	26	54	48.15%	88	55	93	33	63	31	31.8%	4.8%	87.4%	92.2	Unlucky
	Vs Conference	2	2	0	4	8	-4	0	0.000	4	8	12	0	2	2	0	75	14	25	36	0	59	21	8	44	1	0.00%	4	1	75.00%	38	72	52.78%	37	60	61.67%	26	54	48.15%	44	28	43	16	32	16	36.4%	5.3%	86.4%	91.8	Unlucky
	Vs Division	1	1	0	2	3	-1	0	0.000	2	4	6	0	1	1	0	43	9	14	20	0	29	12	2	29	1	0.00%	1	0	100.00%	38	72	52.78%	37	60	61.67%	26	54	48.15%	22	13	20	8	17	8	40.0%	4.7%	89.7%	94.3	Unlucky

			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
4	2	L2	7	10	17	146	135	48	16	83	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	3	0	0	1	0	7	17

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	1	0	0	0	0	2	3

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	2	0	0	1	0	5	14

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	3	0	0	1	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
6	0	0.00%	8	2	75.00%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
29	41	72	9	1	3	2	2

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
38	72	52.78%	37	60	61.67%	26	54	48.15%

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
88	55	93	33	63	31

Derniers Match Joués

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

Date		Result	Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Sun, Apr 20	@	Blue Jackets3,Jets2	RECAP
Tue, Apr 22	@	Jets2,Islanders1 (SO)	RECAP
Thu, Apr 24	@	Jets1,Canadiens8	RECAP
Fri, Apr 25	@	Jets2,Ducks5	RECAP

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	5706	3003	3754	1501	1051
Prix des Billets	93	52	35	25	185
Assistance	0	0	0	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	0 - 0.00%	0$	0$	15015	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
44,100,000$	19,850,000$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
0$	0$	0$	0$

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

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	12,323,602$	12,323,602$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Jussi Jokinen	AGE:34	PO:0	OV:70
Chris Stewart	AGE:29	PO:0	OV:66
Cody Eakin	AGE:26	PO:0	OV:66
Nate Thompson	AGE:33	PO:0	OV:62
Yanni Gourde	AGE:25	PO:0	OV:58
Michael Mersch	AGE:25	PO:0	OV:58
*Brandon Tanev	AGE:25	PO:0	OV:57
*Anton Blidh	AGE:22	PO:0	OV:56
*Kyle Rau	AGE:24	PO:0	OV:55
Casey Bailey	AGE:25	PO:0	OV:55
Jordan Samuels-Thomas	AGE:27	PO:0	OV:55
*Dylan Sadowy	AGE:21	PO:0	OV:50
*Erik Karlsson.	AGE:23	PO:0	OV:49
*Yan-Pavel Laplante	AGE:22	PO:0	OV:48

Jordan Staal	AGE:29	PO:0	OV:73
Jussi Jokinen	AGE:34	PO:0	OV:70
Ryan Strome	AGE:24	PO:0	OV:66
Cody Eakin	AGE:26	PO:0	OV:66
*Oscar Lindberg	AGE:25	PO:0	OV:64
Nick Bjugstad	AGE:25	PO:0	OV:64
Nate Thompson	AGE:33	PO:0	OV:62
*Nic Petan	AGE:22	PO:0	OV:58
*Noel Acciari	AGE:25	PO:0	OV:58
*Gemel Smith	AGE:23	PO:0	OV:58
Yanni Gourde	AGE:25	PO:0	OV:58
*Kyle Rau	AGE:24	PO:0	OV:55
*Yan-Pavel Laplante	AGE:22	PO:0	OV:48

Jussi Jokinen	AGE:34	PO:0	OV:70
Chris Stewart	AGE:29	PO:0	OV:66
Ryan Strome	AGE:24	PO:0	OV:66
Dale Weise	AGE:29	PO:0	OV:64
*Noel Acciari	AGE:25	PO:0	OV:58
Michael Mersch	AGE:25	PO:0	OV:58
Garnet Hathaway	AGE:25	PO:0	OV:57
Buddy Robinson	AGE:26	PO:0	OV:56
Casey Bailey	AGE:25	PO:0	OV:55
*Martin Frk	AGE:24	PO:0	OV:54
*Nick Sorensen	AGE:22	PO:0	OV:54
Phil Lane	AGE:25	PO:0	OV:49

Défense #1

Défense #2

Gardien

Jake Gardiner	AGE:27	PO:0	OV:74
Tobias Enstrom	AGE:32	PO:0	OV:70
Marco Scandella	AGE:27	PO:0	OV:70
*Mark Pysyk	AGE:25	PO:0	OV:69
Eric Gryba	AGE:29	PO:0	OV:67
Carl Gunnarsson	AGE:30	PO:0	OV:66
Paul Postma	AGE:28	PO:0	OV:65
Dalton Prout	AGE:27	PO:0	OV:63
Zach Redmond	AGE:29	PO:0	OV:62
Luke Witkowski	AGE:27	PO:0	OV:61

*Seth Helgeson	AGE:27	PO:0	OV:60
*Mirco Mueller	AGE:22	PO:0	OV:59
*Anthony Bitetto	AGE:27	PO:0	OV:59
Chris Bigras	AGE:22	PO:0	OV:58
*Jack Dougherty	AGE:21	PO:0	OV:56
Julius Bergman	AGE:21	PO:0	OV:56
*Michael Kapla	AGE:23	PO:0	OV:55
Dennis Robertson	AGE:26	PO:0	OV:54
Phil Lane	AGE:25	PO:0	OV:49

Darcy Kuemper	AGE:27	PO:0	OV:72
Jonas Gustavsson	AGE:33	PO:0	OV:69
*Magnus Hellberg	AGE:26	PO:0	OV:67
*Tristan Jarry	AGE:22	PO:0	OV:66
Eddie Pasquale	AGE:26	PO:0	OV:65
Adam Wilcox	AGE:23	PO:0	OV:56
Matt Hackett	AGE:27	PO:0	OV:51

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
Ales Stezka	Jets	2015	110
Alex Lepkowski	Jets	2011	132
Alexander Ruuttu	Jets	2011	63
Alexander Volkov	Jets	2017	59
Alexei Toropchenko	Jets	2017	130
Austin Levi	Jets
Ben Jones	Jets	2017	190
Brandon Prust	Jets
Brett Pollock	Jets	2014	38
Cameron Morrison	Jets	2016	44
Carl Klingberg	Jets
Cayden Primeau	Jets	2017	160
Christoffer Ehn	Jets	2014	104
Dmitriy Zaitsev	Jets	2016	217
Dominik Masin	Jets	2014	34
Emil Molin	Jets
Filip Chytil	Jets	2017	33
Gabryel Paquin-Boudreau	Jets	2013	93
Jeremy Bracco	Jets	2015	20
Jeremy Brodeur	Jets	2015	214
John Persson	Jets
Johnathan MacLeod	Jets	2014	74
Jonathan Dahlen	Jets	2016	26
Joni Ikonen	Jets	2017	41
Joseph Woll	Jets	2016	73
Keven Bouchard	Jets	2014	164
Kieffer Bellows	Jets	2016	14
Linus Hogberg	Jets	2016	141
Linus Nassen	Jets	2016	99
Ludwig Blomstrand	Jets
Lukas Elvenes	Jets	2017	110
Luke Opilka	Jets	2015	114
Martin Necas	Jets	2017	10
Matthew Highmore	Jets	2017	111
Max Zimmer	Jets	2016	198
Maxim Shalunov	Jets
Michael Eyssimont	Jets	2016	164
Miles Gendron	Jets	2014	134
Nathan Horton	Jets
Niclas Almari	Jets	2016	165
Nolan Stevens	Jets	2016	134
Olivier Leblanc	Jets	2014	194
Ryan Jones	Jets
Samuel Noreau	Jets	2011	164
Tanner Kaspick	Jets	2016	194
Tanner Lane	Jets
Teemu Hartikainen	Jets
Travis Barron	Jets	2016	113
Tyler Moy	Jets	2015	200
Tyler Parsons	Jets	2016	74

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2018	WPG	WPG	WPG BUF	WPG	WPG	WPG	WPG
2019	WPG	WPG	WPG	WPG	WPG	WPG	WPG
2020	WPG	WPG	WPG	WPG	WPG	WPG	WPG
2021	WPG	WPG	WPG	WPG	WPG	WPG	WPG
2022	WPG	WPG	WPG	WPG	WPG	WPG	WPG

[15.10.2017 21:56:27] - Paul Postma has been selected as assistant for IceCaps.
[15.10.2017 21:56:27] - Unknown Player is no longer as assistant for IceCaps.
[14.10.2017 7:26:47] - TRADE : From Jets to Islanders : Joel Edmundson (68).
[14.10.2017 7:26:47] - TRADE : From Islanders to Jets : Martin Frk (54), Phil Lane (49), Y:2018-RND:3-BUF.
[14.10.2017 7:26:46] - Phil Lane was added to Jets.
[14.10.2017 7:26:46] - Martin Frk was added to Jets.
[10.10.2017 20:54:07] - Dale Weise has been selected as assistant for IceCaps.
[10.10.2017 20:54:07] - Unknown Player is no longer as assistant for IceCaps.
[10.10.2017 20:54:07] - Paul Postma has been selected as assistant for IceCaps.
[10.10.2017 20:54:07] - Unknown Player is no longer as assistant for IceCaps.
[10.10.2017 20:54:07] - Nate Thompson has been selected as captain for IceCaps.
[10.10.2017 20:54:07] - Unknown Player is no longer captain for IceCaps.
[10.10.2017 20:54:07] - Tobias Enstrom has been selected as assistant for Jets.
[10.10.2017 20:54:07] - is no longer as assistant for Jets.
[10.10.2017 20:54:07] - Jussi Jokinen has been selected as assistant for Jets.
[10.10.2017 20:54:07] - Tobias Enstrom is no longer as assistant for Jets.
[10.10.2017 20:54:07] - Jordan Staal has been selected as captain for Jets.
[10.10.2017 20:54:07] - Patrice Bergeron is no longer captain for Jets.
[05.10.2017 5:58:28] - Jets drafts Ben Jones as the #190 overall pick in the Entry Draft of year 2017.
[05.10.2017 5:45:32] - TRADE : From Canucks to Jets : 500 000 Kč (Money).
[05.10.2017 5:45:32] - TRADE : From Jets to Canucks : Yannick Weber (68).
[03.10.2017 10:01:42] - Jets drafts Cayden Primeau as the #160 overall pick in the Entry Draft of year 2017.
[03.10.2017 9:58:59] - TRADE : From Jets to Islanders : Patrick Brown (56).
[01.10.2017 10:47:52] - Carl Gunnarsson signed with Jets for 900 000 Kč for 2 year(s) with 0 Kč in bonus.
[01.10.2017 10:47:52] - Carl Gunnarsson was added to Jets.
[30.09.2017 11:46:07] - Jets drafts Alexei Toropchenko as the #130 overall pick in the Entry Draft of year 2017.
[23.09.2017 8:11:52] - Anthony Bitetto signed with Jets for 900 000 Kč for 3 year(s) with 0 Kč in bonus.
[23.09.2017 8:11:52] - Anthony Bitetto was added to Jets.
[23.09.2017 8:11:36] - Eric Gryba signed with Jets for 600 000 Kč for 2 year(s) with 0 Kč in bonus.
[23.09.2017 8:11:36] - Eric Gryba was added to Jets.
[23.09.2017 8:11:16] - Luke Witkowski signed with Jets for 900 000 Kč for 3 year(s) with 0 Kč in bonus.
[23.09.2017 8:11:16] - Luke Witkowski was added to Jets.
[23.09.2017 8:11:03] - Nate Thompson signed with Jets for 900 000 Kč for 2 year(s) with 0 Kč in bonus.
[23.09.2017 8:11:03] - Nate Thompson was added to Jets.
[23.09.2017 7:58:33] - John-Michael Liles was released.
[23.09.2017 7:58:33] - Jets paid 450 000 Kč to release John-Michael Liles.
[23.09.2017 7:58:05] - TRADE : From Predators to Jets : John-Michael Liles (68), 950 000 Kč (Money).
[23.09.2017 7:58:05] - John-Michael Liles was added to Jets.
[22.09.2017 5:12:44] - Jets drafts Matthew Highmore as the #111 overall pick in the Entry Draft of year 2017.
[22.09.2017 5:12:37] - Jets drafts Lukas Elvenes as the #110 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:38:40] - Jets drafts Alexander Volkov as the #59 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:34:19] - TRADE : From Jets to Islanders : Nail Yakupov (61).
[16.09.2017 16:34:19] - TRADE : From Islanders to Jets : Y:2017-RND:2-WSH.
[16.09.2017 16:25:12] - Jets drafts Joni Ikonen as the #41 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:22:21] - Jets drafts Filip Chytil as the #33 overall pick in the Entry Draft of year 2017.

Pas de Blessure ou de Suspension.

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
2017	4	0	3	0	0	0	1	0	7	17	-10	1	0	1	0	0	0	0	0	2	3	-1	3	0	2	0	0	0	1	0	5	14	-9	2	7	10	17	0	0	1	3	2	2	146	29	41	72	9	135	48	16	83	6	0	0.00%	8	2	75.00%	0	38	72	52.78%	37	60	61.67%	26	54	48.15%	88	55	93	33	63	31
Total Saison Régulière	4	0	3	0	0	0	1	0	7	17	-10	1	0	1	0	0	0	0	0	2	3	-1	3	0	2	0	0	0	1	0	5	14	-9	2	7	10	17	0	0	1	3	2	2	146	29	41	72	9	135	48	16	83	6	0	0.00%	8	2	75.00%	0	38	72	52.78%	37	60	61.67%	26	54	48.15%	88	55	93	33	63	31