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	Connor McDavid (R) (C)	X				100.00	58	30	95	90	89	96	89	93	78	67	55	68	71	62	77	0	49	75	0
2	Auston Matthews (R)	X				100.00	57	30	97	86	91	87	99	93	82	49	60	60	75	58	58	0	46	71	0
3	Jaromir Jagr			X		100.00	57	38	90	78	88	86	98	86	53	51	49	60	60	99	99	0	45	71	0
4	David Perron		X	X		100.00	68	30	90	77	81	87	97	80	56	49	48	67	74	87	87	0	49	70	0
5	Shane Doan			X		100.00	70	36	88	73	83	84	92	82	66	47	45	61	59	99	99	0	49	69	0
6	Craig Smith	X		X		100.00	66	30	93	72	81	79	96	80	67	45	46	62	62	80	80	0	45	67	0
7	Jake Guentzel (R)	X	X			100.00	68	30	96	79	81	82	63	86	60	50	53	59	61	56	56	0	49	66	0
8	Matt Moulson		X			100.00	59	30	97	72	79	74	98	81	47	45	46	60	61	87	87	0	51	66	0
9	Carl Soderberg	X				100.00	58	30	95	70	80	80	97	79	82	44	42	65	58	76	76	0	47	66	0
10	Nick Ritchie (R)		X			100.00	89	40	88	67	81	76	84	77	53	43	46	61	57	60	60	0	48	65	0
11	Chris Thorburn	X	X	X		100.00	70	84	82	61	77	68	88	72	62	38	40	65	57	91	91	0	51	64	0
12	Ryan Hartman (R)			X		100.00	71	37	91	67	75	74	82	76	52	43	49	61	57	58	58	0	54	63	0
13	Andrei Markov				X	100.00	69	30	95	83	84	89	86	88	34	53	43	78	59	98	99	0	49	75	0
14	Marc-Edouard Vlasic				X	100.00	66	40	92	80	84	89	91	85	34	49	43	80	59	94	94	0	46	74	0
15	Cody Franson				X	100.00	75	30	92	78	86	85	90	84	38	46	40	75	60	83	83	0	54	72	0
16	Dan Hamhuis				X	100.00	74	34	95	71	78	87	91	79	34	45	38	79	57	98	98	0	50	72	0
17	Colin Miller (R)				X	100.00	76	40	87	74	78	83	75	79	32	43	43	73	58	60	60	0	51	67	0
18	Christian Folin (R)				X	100.00	75	32	94	69	76	81	68	75	33	41	39	75	57	61	61	0	50	65	0
Rayé
1	Jujhar Khaira (R)	X	X			100.00	65	33	94	56	70	71	55	62	49	37	40	58	54	55	55	0	50	55	0
2	Marc Methot (A)				X	96.65	82	30	94	68	79	87	86	76	34	43	38	79	56	85	85	0	40	70	0

	MOYENNE D'ÉQUIPE					99.80	69	36	92	74	81	82	86	81	52	46	45	67	61	77	78	0	49	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	SP
1	Henrik Lundqvist	100.00	74	96	95	85	74	74	73	75	75	74	84	91	91	0	53	79	0
2	Anders Nilsson	100.00	74	96	75	91	70	73	74	74	73	74	85	72	72	0	49	76	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	74	96	85	88	72	74	74	75	74	74	85	82	82	0	51	78

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jared Bednar	74	49	49	65	53	55	80	CAN	45	4	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	PPA	PPP	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS
1	Auston Matthews	Wild	C	4	3	1	4	2	4	0	1	16	3	13	18.75%	2	16.:.03	1	0	1	0	0	0	0	1	1	52.08%	48	8	2	0	0	1.25	0	1
2	Connor McDavid	Wild	C	4	1	2	3	-2	0	0	0	13	7	8	7.69%	1	19.:.34	0	1	1	0	0	0	0	0	0	48.65%	74	9	1	0	0	0.77	0	1
3	Jake Guentzel	Wild	C/LW	4	2	1	3	-1	2	0	5	11	1	6	18.18%	1	17.:.56	1	0	1	0	0	0	0	0	1	25.00%	4	9	2	0	0	0.84	0	0
4	Jaromir Jagr	Wild	RW	4	0	3	3	-2	0	0	5	10	2	3	0.00%	4	19.:.34	0	1	1	0	0	0	0	0	0	0.00%	6	10	2	0	0	0.77	0	0
5	Ryan Hartman	Wild	RW	4	0	2	2	3	0	0	3	3	5	2	0.00%	0	13.:.07	0	0	0	0	0	0	1	0	0	40.00%	5	2	0	0	0	0.76	0	0
6	Craig Smith	Wild	C/RW	4	1	1	2	0	0	0	8	8	6	5	12.50%	1	16.:.24	0	1	1	0	0	0	10	0	0	50.00%	2	4	1	0	0	0.61	0	0
7	David Perron	Wild	LW/RW	4	1	1	2	1	0	0	6	7	3	7	14.29%	1	17.:.36	0	1	1	0	0	0	0	0	0	0.00%	2	4	1	0	0	0.57	1	1
8	Nick Ritchie	Wild	LW	4	0	1	1	-1	0	0	8	3	1	2	0.00%	0	10.:.15	0	0	0	0	0	0	0	0	0	50.00%	2	7	2	0	0	0.49	0	0
9	Andrei Markov	Wild	D	4	1	0	1	-1	0	0	8	9	2	5	11.11%	7	23.:.35	0	0	0	0	0	0	10	0	0	0.00%	0	2	10	0	0	0.21	0	0
10	Cody Franson	Wild	D	4	0	1	1	0	0	0	6	7	2	2	0.00%	7	20.:.33	0	0	0	0	0	0	2	0	0	0.00%	0	2	1	0	0	0.24	0	0
11	Dan Hamhuis	Wild	D	4	0	1	1	0	0	0	7	5	2	4	0.00%	4	16.:.46	0	0	0	0	0	0	5	0	0	0.00%	0	1	4	0	0	0.30	0	0
12	Chris Thorburn	Wild	C/LW/RW	4	0	0	0	0	4	0	4	0	0	2	0.00%	0	11.:.29	0	0	0	0	0	0	1	0	0	30.43%	23	0	0	0	0	0.00	0	0
13	Christian Folin	Wild	D	4	0	0	0	1	0	0	3	1	1	1	0.00%	4	09.:.28	0	0	0	0	0	0	0	0	0	0.00%	0	1	1	0	0	0.00	0	0
14	Marc Methot	Wild	D	2	0	0	0	-1	0	0	4	5	1	1	0.00%	1	14.:.39	0	0	0	0	0	0	1	0	0	0.00%	0	0	2	0	0	0.00	0	0
15	Matt Moulson	Wild	LW	4	0	0	0	0	0	0	1	7	1	7	0.00%	0	10.:.35	0	0	0	0	0	0	0	0	0	0.00%	1	7	0	0	0	0.00	0	0
16	Colin Miller	Wild	D	4	0	0	0	0	0	0	7	2	0	0	0.00%	5	16.:.26	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	0.00	0	0
17	Shane Doan	Wild	RW	4	0	0	0	-2	0	0	7	10	4	6	0.00%	0	11.:.08	0	0	0	0	0	0	1	0	0	50.00%	2	2	0	0	0	0.00	0	0
18	Marc-Edouard Vlasic	Wild	D	4	0	0	0	-1	6	0	4	9	4	6	0.00%	9	26.:.03	0	0	0	0	0	0	5	0	0	0.00%	0	1	6	0	0	0.00	0	0
19	Carl Soderberg	Wild	C	4	0	0	0	-1	0	0	1	1	3	2	0.00%	0	12.:.45	0	0	0	0	0	0	10	0	0	40.54%	37	1	3	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne			74	9	14	23	-5	16	0	88	95	127	48	82	7.09%	47	1186	16.04	2	4	6	8	49	0	0	0	2	51	1	2	43.20%	206	70	39	0	0	0.39	1	3	0	0	0	1	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 Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	GA	SA	SAR	PS %	PSA	ST	BG
1	Henrik Lundqvist	Wild	3	1	2	0	92.5%	2.70	178	8	106	67	0.0%	0	3	1
2	Anders Nilsson	Wild	1	0	0	1	88.5%	2.77	65	3	26	15	33.3%	3	1	3
Stats d'équipe Total ou en Moyenne			4	1	2	1	0.917	2.72	243	11	132	82	0.333	3	4	4

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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
Anders Nilsson (Contrat à 1 Volet)	Wild	G	27	19.03.1990 6:53:24	No	227 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	700,000$	700,000$
Andrei Markov	Wild	D	38	20.12.1978	No	200 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	5,000,000$
Auston Matthews (Contrat à 1 Volet)	Wild	C	20	17.09.1997	Yes	216 Lbs	6 ft3	No	No	No	3	Contrat d'Entrée	Pro & Farm	1,700,000$	1,700,000$	1,700,000$	1,700,000$
Carl Soderberg	Wild	C	32	12.10.1985 2:00:03	No	210 Lbs	6 ft3	No	No	No	2	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$	4,000,000$
Chris Thorburn	Wild	C/LW/RW	34	06.03.1983	No	235 Lbs	6 ft3	No	No	No	2	Sans Restriction	Pro & Farm	800,000$	800,000$	800,000$
Christian Folin	Wild	D	26	01.07.1991	Yes	204 Lbs	6 ft3	No	No	No	3	Avec Restriction	Pro Only	1,400,000$	1,400,000$	1,400,000$	1,400,000$
Cody Franson	Wild	D	30	08.08.1987	No	224 Lbs	6 ft5	No	No	No	1	Sans Restriction	Pro & Farm	5,200,000$	5,200,000$
Colin Miller	Wild	D	24	29.10.1992	Yes	196 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	1,300,000$	1,300,000$
Connor McDavid (Contrat à 1 Volet)	Wild	C	20	13.01.1997 3:39:02	Yes	200 Lbs	6 ft1	No	No	No	2	Contrat d'Entrée	Pro & Farm	1,700,000$	1,700,000$	1,700,000$
Craig Smith	Wild	C/RW	28	05.09.1989 14:19:30	No	208 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	2,600,000$	2,600,000$
Dan Hamhuis	Wild	D	34	13.12.1982	No	200 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$	4,000,000$
David Perron	Wild	LW/RW	29	28.05.1988	No	200 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	3,200,000$	3,200,000$	3,200,000$
Henrik Lundqvist	Wild	G	35	02.07.1982	No	188 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	5,800,000$	5,800,000$
Jake Guentzel (Contrat à 1 Volet)	Wild	C/LW	23	06.10.1994	Yes	180 Lbs	5 ft11	No	No	No	2	Avec Restriction	Pro & Farm	1,600,000$	1,600,000$	1,600,000$
Jaromir Jagr	Wild	RW	45	15.02.1972 1:49:13	No	230 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$
Jujhar Khaira	Wild	C/LW	23	13.08.1994	Yes	219 Lbs	6 ft4	No	No	No	2	Avec Restriction	Pro Only	900,000$	900,000$	900,000$
Marc Methot	Wild	D	32	21.06.1985	No	220 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	3,000,000$
Marc-Edouard Vlasic	Wild	D	30	30.03.1987	No	205 Lbs	6 ft1	No	No	No	4	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	4,000,000$	4,000,000$
Matt Moulson	Wild	LW	33	01.11.1983	No	200 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	2,500,000$	2,500,000$
Nick Ritchie	Wild	LW	22	12.06.1995 3:41:35	Yes	232 Lbs	6 ft2	No	No	No	2	Contrat d'Entrée	Pro & Farm	1,300,000$	1,300,000$	1,300,000$
Ryan Hartman	Wild	RW	23	20.09.1994 5:23:57	Yes	181 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$
Shane Doan	Wild	RW	41	10.10.1976	No	223 Lbs	6 ft1	Yes	No	No	1	Sans Restriction	Pro & Farm	3,800,000$	3,800,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	29.50	209 Lbs	6 ft2	1.82	2,681,818$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
59,000,000$	32,600,000$	10,100,000$	4,000,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	David Perron	Connor McDavid	Jaromir Jagr	40	0	1	4
2	Jake Guentzel	Auston Matthews	Ryan Hartman	30	1	1	3
3	Nick Ritchie	Carl Soderberg	Craig Smith	15	2	1	2
4	Matt Moulson	Chris Thorburn	Shane Doan	15	2	2	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Marc-Edouard Vlasic	Andrei Markov	40	1	2	2
2	Cody Franson	Colin Miller	30	1	2	2
3	Christian Folin	Dan Hamhuis	20	1	2	2
4	Cody Franson	Marc-Edouard Vlasic	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jake Guentzel	Connor McDavid	Jaromir Jagr	65	1	2	2
2	David Perron	Auston Matthews	Craig Smith	35	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Marc-Edouard Vlasic	Andrei Markov	65	1	2	2
2	Cody Franson	Colin Miller	35	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Carl Soderberg	Craig Smith	60	1	2	2
2	Chris Thorburn	Ryan Hartman	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Marc-Edouard Vlasic	Andrei Markov	60	1	2	2
2	Cody Franson	Dan Hamhuis	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Chris Thorburn	60	1	2	2	Marc-Edouard Vlasic	Andrei Markov	60	1	2	2
2	Carl Soderberg	40	1	2	2	Cody Franson	Dan Hamhuis	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jake Guentzel	Nick Ritchie	60	1	2	2
2	Chris Thorburn	Shane Doan	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Marc-Edouard Vlasic	Cody Franson	60	1	2	2
2	Colin Miller	Dan Hamhuis	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Auston Matthews	Connor McDavid	Jaromir Jagr	David Perron	Marc-Edouard Vlasic

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nick Ritchie	Carl Soderberg	Shane Doan	Marc-Edouard Vlasic	Dan Hamhuis

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Connor McDavid, Auston Matthews, Nick Ritchie	Nick Ritchie, Chris Thorburn	Shane Doan

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Dan Hamhuis, Colin Miller, Christian Folin	Colin Miller	Dan Hamhuis, Colin Miller

Tirs de Pénalité
Auston Matthews, Connor McDavid, David Perron, Craig Smith, Jake Guentzel

Gardien
#1 : Henrik Lundqvist, #2 : Anders Nilsson

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	W	L	SOL	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	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	Blackhawks	1	0	0	1	3	4	-1	1	0.500	3	4	7	1	0	2	1	33	12	10	11	3	26	9	4	29	3	0	0.00%	2	1	50.00%	28	73	38.36%	39	79	49.37%	22	54	40.74%	26	17	22	8	16	8	50.0%	9.1%	84.6%	93.7	FUN
2	Flames	1	0	1	0	1	4	-3	0	0.000	1	1	2	1	0	0	0	32	14	6	12	0	43	15	8	19	0	0	0.00%	4	1	75.00%	28	73	38.36%	39	79	49.37%	22	54	40.74%	20	13	25	7	13	6	25.0%	3.1%	90.7%	93.8	Unlucky
3	Oilers	1	1	0	0	4	2	2	2	1.000	4	7	11	2	1	1	0	32	6	13	13	0	33	15	0	12	2	1	50.00%	0	0	0.00%	28	73	38.36%	39	79	49.37%	22	54	40.74%	20	13	23	7	15	7	60.0%	12.5%	93.9%	106.4	LUCKY
4	Red Wings	1	0	1	0	1	2	-1	0	0.000	1	2	3	0	1	0	0	30	11	12	7	0	30	8	4	28	1	1	100.00%	2	1	50.00%	28	73	38.36%	39	79	49.37%	22	54	40.74%	26	18	17	7	15	8	0.0%	3.3%	93.3%	96.7	DULL
	Since Last GM Reset	4	1	2	1	9	12	-3	3	0.375	9	14	23	4	2	3	1	127	43	41	43	3	132	47	16	88	6	2	33.33%	8	3	62.50%	28	73	38.36%	39	79	49.37%	22	54	40.74%	95	62	88	31	61	30	43.8%	7.1%	90.9%	98.0	Unlucky
	Total	4	1	2	1	9	12	-3	3	0.375	9	14	23	4	2	3	1	127	43	41	43	3	132	47	16	88	6	2	33.33%	8	3	62.50%	28	73	38.36%	39	79	49.37%	22	54	40.74%	95	62	88	31	61	30	43.8%	7.1%	90.9%	98.0	Unlucky
	Vs Conference	4	1	2	1	9	12	-3	3	0.375	9	14	23	4	2	3	1	127	43	41	43	3	132	47	16	88	6	2	33.33%	8	3	62.50%	28	73	38.36%	39	79	49.37%	22	54	40.74%	95	62	88	31	61	30	43.8%	7.1%	90.9%	98.0	Unlucky
	Vs Division	4	1	2	1	9	12	-3	3	0.375	9	14	23	4	2	3	1	127	43	41	43	3	132	47	16	88	6	2	33.33%	8	3	62.50%	28	73	38.36%	39	79	49.37%	22	54	40.74%	95	62	88	31	61	30	43.8%	7.1%	90.9%	98.0	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	3	SOL1	9	14	23	127	132	47	16	88	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	2	0	0	0	1	9	12

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	2	6

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	0	0	0	0	1	7	6

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	2	0	0	0	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
6	2	33.33%	8	3	62.50%	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
43	41	43	3	4	2	3	1

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
28	73	38.36%	39	79	49.37%	22	54	40.74%

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
95	62	88	31	61	30

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!
Fri, Nov 22	@	Red Wings2,Wild1	RECAP
Sun, Nov 24	@	Flames4,Wild1	RECAP
Tue, Nov 26	@	Wild4,Oilers2	RECAP
Wed, Nov 27	@	Wild3,Blackhawks4 (SO)	RECAP

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6864	3613	4516	1806	1264
Prix des Billets	90	48	28	19	178
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$	18063	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
59,000,000$	26,350,000$	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$	39,832,366$	39,832,366$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

David Perron	AGE:29	PO:0	OV:70
*Jake Guentzel	AGE:23	PO:0	OV:66
Matt Moulson	AGE:33	PO:0	OV:66
*Nick Ritchie	AGE:22	PO:0	OV:65
Chris Thorburn	AGE:34	PO:0	OV:64
Brandon Mashinter	AGE:29	PO:0	OV:58
*Samuel Blais	AGE:21	PO:0	OV:56
*Kenny Agostino	AGE:25	PO:0	OV:55
*Jujhar Khaira	AGE:23	PO:0	OV:55
*Justin Kirkland	AGE:25	PO:0	OV:54
Jeff Hoggan	AGE:38	PO:0	OV:53
Kris Newbury	AGE:35	PO:0	OV:53
*Levko Koper	AGE:27	PO:0	OV:52
Wacey Hamilton	AGE:26	PO:0	OV:51
Garret Ross	AGE:25	PO:0	OV:47

*Connor McDavid	AGE:20	PO:0	OV:75
*Auston Matthews	AGE:20	PO:0	OV:71
Craig Smith	AGE:28	PO:0	OV:67
*Jake Guentzel	AGE:23	PO:0	OV:66
Carl Soderberg	AGE:32	PO:0	OV:66
Chris Thorburn	AGE:34	PO:0	OV:64
*Greg McKegg	AGE:25	PO:0	OV:59
*Rourke Chartier	AGE:21	PO:0	OV:56
Pat Cannone	AGE:31	PO:0	OV:56
*Jujhar Khaira	AGE:23	PO:0	OV:55
*Jayce Hawryluk	AGE:21	PO:0	OV:54
*Justin Kirkland	AGE:25	PO:0	OV:54
*Phil Varone	AGE:26	PO:0	OV:54
Kris Newbury	AGE:35	PO:0	OV:53
Wacey Hamilton	AGE:26	PO:0	OV:51
Kevin Sundher	AGE:25	PO:0	OV:50

Jaromir Jagr	AGE:45	PO:0	OV:71
David Perron	AGE:29	PO:0	OV:70
Shane Doan	AGE:41	PO:0	OV:69
Craig Smith	AGE:28	PO:0	OV:67
Chris Thorburn	AGE:34	PO:0	OV:64
*Ryan Hartman	AGE:23	PO:0	OV:63
*Kasperi Kapanen	AGE:21	PO:0	OV:55
*Jayce Hawryluk	AGE:21	PO:0	OV:54
Wacey Hamilton	AGE:26	PO:0	OV:51

Défense #1

Défense #2

Gardien

Andrei Markov	AGE:38	PO:0	OV:75
Marc-Edouard Vlasic	AGE:30	PO:0	OV:74
Cody Franson	AGE:30	PO:0	OV:72
Dan Hamhuis	AGE:34	PO:0	OV:72
Marc Methot	AGE:32	PO:0	OV:70
*Colin Miller	AGE:24	PO:0	OV:67
*Christian Folin	AGE:26	PO:0	OV:65
*Patrik Nemeth	AGE:25	PO:0	OV:63

Dean Kukan	AGE:24	PO:0	OV:56
Vincent LoVerde	AGE:28	PO:0	OV:56
Madison Bowey	AGE:22	PO:0	OV:55
*Joel Hanley	AGE:26	PO:0	OV:54
*Jacob Larsson	AGE:20	PO:0	OV:54
*Brycen Martin	AGE:21	PO:0	OV:53
*Keaton Thompson	AGE:22	PO:0	OV:51

Henrik Lundqvist	AGE:35	PO:0	OV:79
Anders Nilsson	AGE:27	PO:0	OV:76
*Juuse Saros	AGE:22	PO:0	OV:73
*Marek Langhamer	AGE:23	PO:0	OV:61

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
Adam Fox	Wild	2016	61
Alexandre Texier	Wild	2017	64
Alexandrette Mallet	Wild
Alexis Pepin	Wild	2014	155
Andrey Makarov	Wild
Cody Kunyk	Wild
Cole Candella	Wild	2016	139
Collin Adams	Wild	2016	181
Connor Hobbs	Wild	2016	112
Connor Ingram	Wild	2016	91
Dennis Cholowski	Wild	2016	31
Dennis Gilbert	Wild	2015	161
Gabriel Carlsson	Wild	2015	44
Graham Knott	Wild	2015	86
Jean-Christophe Beaudin	Wild	2015	125
Jere Sallinen	Wild
Jonas Siegenthaler	Wild
Julien Brouillette	Wild
Julien Pelletier	Wild	2014	95
Kevin Stenlund	Wild	2015	64
Lane Zablocki	Wild	2017	184
Mark Friedman	Wild	2014	84
Markus Ruusu	Wild	2015	150
Michael McLeod	Wild	2016	12
Miro Heiskanen	Wild	2017	4
Nicholas Caamano	Wild	2016	151
Nolan Vesey	Wild	2015	184
Petr Kvaca	Wild	2017	124
Ryan Zuhlsdorf	Wild	2015	154
missed pick	Wild	2017	133

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2018	MIN	MIN	MIN	MIN MTL	MIN	MIN [CON: NJD]	MIN [CON: NJD]
2019	MIN	MIN	MIN	MIN	MIN	MIN	MIN
2020	MIN	MIN	MIN	MIN	MIN	MIN	MIN
2021	MIN	MIN	MIN	MIN	MIN	MIN	MIN
2022	MIN	MIN	MIN	MIN	MIN	MIN	MIN

[14.10.2017 20:34:46] - Wild hired Brent Thompson for 100 000 Kč for 5 year(s).
[05.10.2017 5:58:02] - Wild drafts Lane Zablocki as the #184 overall pick in the Entry Draft of year 2017.
[05.10.2017 5:46:01] - TRADE : From Panthers to Wild : Marek Langhamer (61).
[05.10.2017 5:46:01] - TRADE : From Wild to Panthers : Y:2017-RND:7-BUF.
[05.10.2017 5:46:00] - Marek Langhamer was added to Wild.
[02.10.2017 22:09:19] - Wacey Hamilton was added to Wild.
[02.10.2017 22:09:02] - Jeff Hoggan was added to Wild.
[02.10.2017 22:08:54] - Levko Koper was added to Wild.
[02.10.2017 22:08:45] - Kevin Sundher was added to Wild.
[02.10.2017 22:08:41] - Kris Newbury was added to Wild.
[02.10.2017 22:08:21] - Joel Hanley was added to Wild.
[02.10.2017 22:08:13] - Pat Cannone was added to Wild.
[01.10.2017 10:48:08] - Chris Thorburn signed with Wild for 800 000 Kč for 2 year(s) with 0 Kč in bonus.
[01.10.2017 10:48:08] - Chris Thorburn was added to Wild.
[30.09.2017 11:46:30] - Wild drafts missed pick as the #133 overall pick in the Entry Draft of year 2017.
[30.09.2017 11:43:08] - Wild drafts Petr Kvaca as the #124 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:46:29] - Wild drafts Alexandre Texier as the #64 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	1	2	0	0	0	0	1	9	12	-3	2	0	2	0	0	0	0	0	2	6	-4	2	1	0	0	0	0	0	1	7	6	1	3	9	14	23	0	0	4	2	3	1	127	43	41	43	3	132	47	16	88	6	2	33.33%	8	3	62.50%	0	28	73	38.36%	39	79	49.37%	22	54	40.74%	95	62	88	31	61	30
Total Saison Régulière	4	1	2	0	0	0	0	1	9	12	-3	2	0	2	0	0	0	0	0	2	6	-4	2	1	0	0	0	0	0	1	7	6	1	3	9	14	23	0	0	4	2	3	1	127	43	41	43	3	132	47	16	88	6	2	33.33%	8	3	62.50%	0	28	73	38.36%	39	79	49.37%	22	54	40.74%	95	62	88	31	61	30