Profi League

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Stats d'équipe en Carrière

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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	55	75	0
2	Thomas Vanek		X	X		100.00	58	30	94	79	85	82	89	86	53	53	50	60	79	97	97	0	73	71	0
3	Auston Matthews (R)	X				100.00	57	30	97	86	91	87	99	93	82	49	60	60	75	58	58	0	68	71	0
4	Jussi Jokinen	X	X	X		100.00	58	34	92	75	81	87	90	83	73	48	46	68	62	97	99	0	59	70	0
5	David Perron		X	X		100.00	68	30	90	77	81	87	97	80	56	49	48	67	74	87	87	0	67	70	0
6	Craig Smith	X		X		100.00	66	30	93	72	81	79	96	80	67	45	46	62	62	80	80	0	67	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	67	66	0
8	Matt Moulson		X			100.00	59	30	97	72	79	74	98	81	47	45	46	60	61	87	87	0	43	66	0
9	Carl Soderberg	X				100.00	58	30	95	70	80	80	97	79	82	44	42	65	58	76	76	0	63	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	67	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	76	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	48	63	0
13	Cody Franson				X	100.00	75	30	92	78	86	85	90	84	38	46	40	75	60	83	83	0	67	72	0
14	Dan Hamhuis				X	100.00	74	34	95	71	78	87	91	79	34	45	38	79	57	98	98	0	57	72	0
15	Marc Methot (A)				X	100.00	82	30	94	68	79	87	86	76	34	43	38	79	56	85	85	0	67	70	0
16	Colin Miller (R)				X	100.00	76	40	87	74	78	83	75	79	32	43	43	73	58	60	60	0	38	67	0
17	Christian Folin (R)				X	100.00	75	32	94	69	76	81	68	75	33	41	39	75	57	61	61	0	67	65	0
18	Patrik Nemeth (R)				X	100.00	72	30	94	64	75	82	62	72	33	39	37	75	55	60	60	0	52	63	0
Rayé
1	Shane Doan			X		100.00	70	36	88	73	83	84	92	82	66	47	45	61	59	99	99	0	63	69	0
2	Jujhar Khaira (R)	X	X			100.00	65	33	94	56	70	71	55	62	49	37	40	58	54	55	55	0	19	55	0
3	Marc-Edouard Vlasic				X	100.00	66	40	92	80	84	89	91	85	34	49	43	80	59	94	94	0	61	74	0

	MOYENNE D'ÉQUIPE					100.00	68	35	92	73	80	82	85	80	53	46	45	67	61	76	77	0	59	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	67	79	0
2	Anders Nilsson	100.00	74	96	75	91	70	73	74	74	73	74	85	72	72	0	67	76	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	74	96	85	88	72	74	74	75	74	74	85	82	82	0	67	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	PKA	PKP	PKM	FO%	FOT	GA	TA	EG	HT	P/20	PSG
1	Connor McDavid	Wild	C	4	1	4	5	0	0	0	4	10	4	9	10.00%	2	19.:.52	0	0	0	0	36.54%	52	9	0	0	0	1.26	0
2	Auston Matthews	Wild	C	4	3	0	3	-1	0	0	3	12	1	6	25.00%	0	19.:.33	0	0	0	0	66.67%	3	7	1	0	0	0.77	0
3	Thomas Vanek	Wild	LW/RW	4	2	0	2	-3	2	0	3	4	3	3	50.00%	2	18.:.20	0	0	0	0	0.00%	0	4	1	0	0	0.55	0
4	Marc Methot	Wild	D	4	0	2	2	-2	0	0	5	4	4	3	0.00%	6	16.:.30	0	0	0	9	0.00%	0	1	5	0	0	0.61	0
5	Cody Franson	Wild	D	4	0	2	2	-4	4	0	12	7	4	1	0.00%	9	24.:.09	0	0	0	0	0.00%	0	0	4	0	0	0.41	0
6	Ryan Hartman	Wild	RW	4	1	0	1	0	0	0	3	3	1	5	33.33%	2	10.:.16	0	0	0	0	50.00%	4	7	1	0	0	0.49	0
7	Matt Moulson	Wild	LW	4	0	1	1	1	0	0	4	5	2	4	0.00%	1	07.:.50	0	0	0	0	0.00%	0	2	0	0	0	0.64	0
8	Dan Hamhuis	Wild	D	4	0	1	1	-3	0	0	11	4	8	2	0.00%	9	23.:.34	0	0	0	6	0.00%	0	0	4	0	0	0.21	0
9	Chris Thorburn	Wild	C/LW/RW	1	0	0	0	0	0	0	4	0	0	1	0.00%	0	10.:.19	0	0	0	0	50.00%	4	0	0	0	0	0.00	0
10	Christian Folin	Wild	D	4	0	0	0	-3	0	0	7	1	2	2	0.00%	2	20.:.26	0	0	0	4	0.00%	0	0	7	0	0	0.00	0
11	Jussi Jokinen	Wild	C/LW/RW	4	0	0	0	-2	0	0	3	3	3	4	0.00%	2	16.:.16	0	0	0	0	50.00%	30	7	1	0	0	0.00	0
12	Nick Ritchie	Wild	LW	4	0	0	0	-4	0	0	10	3	0	4	0.00%	0	15.:.58	0	0	0	8	50.00%	6	2	0	0	0	0.00	0
13	Jake Guentzel	Wild	C/LW	4	0	0	0	-3	0	0	6	12	2	15	0.00%	0	17.:.36	0	0	0	0	0.00%	3	12	1	0	0	0.00	0
14	Colin Miller	Wild	D	4	0	0	0	-2	2	0	7	7	2	4	0.00%	5	21.:.18	0	0	0	0	0.00%	0	1	5	0	0	0.00	0
15	Shane Doan	Wild	RW	1	0	0	0	1	0	0	0	0	0	0	0.00%	0	14.:.39	0	0	0	0	0.00%	0	1	0	0	0	0.00	0
16	Craig Smith	Wild	C/RW	4	0	0	0	-3	2	0	6	2	2	3	0.00%	3	15.:.02	0	0	0	0	7.69%	13	0	0	0	0	0.00	0
17	David Perron	Wild	LW/RW	4	0	0	0	-4	2	0	6	8	2	5	0.00%	3	16.:.05	0	0	0	0	0.00%	0	4	3	0	0	0.00	0
18	Jujhar Khaira	Wild	C/LW	2	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.36	0	0	0	0	0.00%	0	0	0	0	0	0.00	0
19	Carl Soderberg	Wild	C	4	0	0	0	-2	0	0	2	2	1	1	0.00%	0	13.:.58	0	0	0	8	46.15%	39	2	0	0	0	0.00	0
20	Patrik Nemeth	Wild	D	4	0	0	0	-1	0	0	1	7	0	5	0.00%	2	14.:.08	0	0	0	0	0.00%	0	1	4	0	0	0.00	0
Stats d'équipe Total ou en Moyenne			72	7	10	17	-35	12	0	97	96	94	41	77	7.45%	48	1190	16.53	6	49	0	1	38	0	0	40.26%	154	60	37	0	0.29	0	0	0	0	0	0	1	0

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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	L	PCT	GAA	MP	GA	SA	SAR	PS %	ST	BG
1	Henrik Lundqvist	Wild	3	3	84.9%	4.67	180	14	93	53	0.0%	3	1
2	Anders Nilsson	Wild	1	1	88.0%	3.00	60	3	25	13	0.0%	1	3
Stats d'équipe Total ou en Moyenne			4	4	0.856	4.25	240	17	118	66	0.000	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	CONT	Status	Type	Salaire Actuel	Salaire Année 2	Salaire Année 3	Salaire Année 4
Anders Nilsson (Contrat à 1 Volet)	Wild	D	28	19.03.1990 6:53:24	No	227 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	700,000$
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$
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$
Chris Thorburn	Wild	C/LW/RW	35	06.03.1983	No	235 Lbs	6 ft3	No	No	No	2	Sans Restriction	Pro & Farm	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$
Cody Franson	Wild	D	30	08.08.1987	No	224 Lbs	6 ft5	No	No	No	1	Sans Restriction	Pro & Farm	5,200,000$
Colin Miller	Wild	D	25	29.10.1992	Yes	196 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	1,300,000$
Connor McDavid (Contrat à 1 Volet)	Wild	C	21	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$
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$
Dan Hamhuis	Wild	D	35	13.12.1982	No	200 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	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$
Henrik Lundqvist	Wild	LW	35	02.07.1982	No	188 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	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$
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$
Jussi Jokinen	Wild	C/LW/RW	35	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$
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$
Marc-Edouard Vlasic	Wild	D	31	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$
Matt Moulson	Wild	LW	34	01.11.1983	No	200 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	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$
Patrik Nemeth	Wild	D	26	08.02.1992 4:41:33	Yes	215 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	1,400,000$
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$
Shane Doan	Wild	RW	41	10.10.1976	No	223 Lbs	6 ft1	Yes	No	No	1	Sans Restriction	Pro & Farm	3,800,000$
Thomas Vanek	Wild	LW/RW	34	19.01.1984	No	214 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	6,300,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	29.04	208 Lbs	6 ft2	1.83	2,691,304$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
61,900,000$	31,300,000$	13,800,000$	4,000,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Auston Matthews	Connor McDavid	Thomas Vanek	40	0	1	4
2	Jake Guentzel	Jussi Jokinen	Craig Smith	30	0	1	4
3	Nick Ritchie	Carl Soderberg	David Perron	20	0	2	3
4	Matt Moulson	Chris Thorburn	Ryan Hartman	10	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Cody Franson	Dan Hamhuis	45	0	3	2
2	Colin Miller	Christian Folin	35	0	3	2
3	Marc Methot	Patrik Nemeth	10	0	3	2
4	Cody Franson	Dan Hamhuis	10	1	3	1

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Auston Matthews	Connor McDavid	Jake Guentzel	70	0	0	5
2	Thomas Vanek	Jussi Jokinen	David Perron	30	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Cody Franson	Colin Miller	70	0	1	4
2	Cody Franson	Dan Hamhuis	30	0	1	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Carl Soderberg	Nick Ritchie	60	1	4	0
2	Jussi Jokinen	David Perron	40	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dan Hamhuis	Marc Methot	60	1	4	0
2	Christian Folin	Marc Methot	40	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Jussi Jokinen	60	1	4	0	Marc Methot	Dan Hamhuis	60	1	4	0
2	David Perron	40	1	4	0	Marc Methot	Dan Hamhuis	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Connor McDavid	Jake Guentzel	60	1	1	3
2	Auston Matthews	Thomas Vanek	40	1	1	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Cody Franson	Colin Miller	60	1	2	2
2	Cody Franson	Colin Miller	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jake Guentzel	Connor McDavid	Auston Matthews	David Perron	Cody Franson

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
David Perron	Connor McDavid	Craig Smith	Dan Hamhuis	Marc Methot

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Connor McDavid, Auston Matthews, Jake Guentzel	Thomas Vanek, David Perron	David Perron

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Cody Franson, Colin Miller, Dan Hamhuis	Cody Franson	Dan Hamhuis, Marc Methot

Tirs de Pénalité
Auston Matthews, David Perron, Connor McDavid, Thomas Vanek, Matt Moulson

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

Lignes d'Attaque Perso. en Prol.
Connor McDavid, Auston Matthews, David Perron, Jake Guentzel, Jussi Jokinen, Nick Ritchie, Nick Ritchie, Carl Soderberg, Thomas Vanek, Ryan Hartman, Craig Smith

Lignes de Défense Perso. en Prol.
Cody Franson, Colin Miller, Dan Hamhuis, Christian Folin, Marc Methot

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	GF	GA	Diff	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	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
1	Kings	4	4	7	17	-10	7	10	17	3	2	2	94	28	34	32	118	48	12	97	5	0.00%	6	3	50.00%	19	40	47.50%	29	66	43.94%	14	48	29.17%	88	58	90	30	60	29
	Since Last GM Reset	4	4	7	17	-10	7	10	17	3	2	2	94	28	34	32	118	48	12	97	5	0.00%	6	3	50.00%	19	40	47.50%	29	66	43.94%	14	48	29.17%	88	58	90	30	60	29
	Total	4	4	7	17	-10	7	10	17	3	2	2	94	28	34	32	118	48	12	97	5	0.00%	6	3	50.00%	19	40	47.50%	29	66	43.94%	14	48	29.17%	88	58	90	30	60	29
	Vs Conference	4	4	7	17	-10	7	10	17	3	2	2	94	28	34	32	118	48	12	97	5	0.00%	6	3	50.00%	19	40	47.50%	29	66	43.94%	14	48	29.17%	88	58	90	30	60	29

			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	0	L4	7	10	17	94	118	48	12	97	0	0

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

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	2	8

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	5	9

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	4	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
5	0	0.00%	6	3	50.00%	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
28	34	32	0	3	2	2	0

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
19	40	47.50%	29	66	43.94%	14	48	29.17%

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	58	90	30	60	29

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
Mon, Apr 21	@	Wild3,Kings5	RECAP
Wed, Apr 23	@	Wild2,Kings4	RECAP
Fri, Apr 25	@	Kings3,Wild1	RECAP
Sun, Apr 27	@	Kings5,Wild1	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	150	90	50	37	300
Assistance	10285	4853	6710	2407	1761
Attendance PCT	74.92%	67.16%	74.29%	66.64%	69.66%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
39	13008 - 72.01%	2,184,623$	4,369,245$	18063	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
61,900,000$	20,850,000$	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$	26,487,682$	26,487,682$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Thomas Vanek	AGE:34	PO:0	OV:71
Jussi Jokinen	AGE:35	PO:0	OV:70
David Perron	AGE:29	PO:0	OV:70
*Jake Guentzel	AGE:23	PO:0	OV:66
Matt Moulson	AGE:34	PO:0	OV:66
*Nick Ritchie	AGE:22	PO:0	OV:65
Chris Thorburn	AGE:35	PO:0	OV:64
Brandon Mashinter	AGE:29	PO:0	OV:58
*Samuel Blais	AGE:21	PO:0	OV:56
*Kenny Agostino	AGE:26	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:36	PO:0	OV:53
*Levko Koper	AGE:27	PO:0	OV:52
Wacey Hamilton	AGE:27	PO:0	OV:51
Garret Ross	AGE:25	PO:0	OV:47

*Connor McDavid	AGE:21	PO:0	OV:75
*Auston Matthews	AGE:20	PO:0	OV:71
Jussi Jokinen	AGE:35	PO:0	OV:70
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:35	PO:0	OV:64
*Greg McKegg	AGE:25	PO:0	OV:59
*Rourke Chartier	AGE:22	PO:0	OV:56
*Jujhar Khaira	AGE:23	PO:0	OV:55
*Jayce Hawryluk	AGE:22	PO:0	OV:54
*Justin Kirkland	AGE:25	PO:0	OV:54
*Phil Varone	AGE:27	PO:0	OV:54
Kris Newbury	AGE:36	PO:0	OV:53
Wacey Hamilton	AGE:27	PO:0	OV:51
Kevin Sundher	AGE:26	PO:0	OV:50

Thomas Vanek	AGE:34	PO:0	OV:71
Jussi Jokinen	AGE:35	PO:0	OV:70
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:35	PO:0	OV:64
*Ryan Hartman	AGE:23	PO:0	OV:63
*Kasperi Kapanen	AGE:21	PO:0	OV:55
*Jayce Hawryluk	AGE:22	PO:0	OV:54
Wacey Hamilton	AGE:27	PO:0	OV:51

Défense #1

Défense #2

Gardien

Marc-Edouard Vlasic	AGE:31	PO:0	OV:74
Cody Franson	AGE:30	PO:0	OV:72
Dan Hamhuis	AGE:35	PO:0	OV:72
Marc Methot	AGE:32	PO:0	OV:70
*Colin Miller	AGE:25	PO:0	OV:67
*Christian Folin	AGE:26	PO:0	OV:65
*Patrik Nemeth	AGE:26	PO:0	OV:63

Dean Kukan	AGE:24	PO:0	OV:56
Vincent LoVerde	AGE:29	PO:0	OV:56
Madison Bowey	AGE:23	PO:0	OV:55
*Joel Hanley	AGE:26	PO:0	OV:54
*Jacob Larsson	AGE:21	PO:0	OV:54
*Brycen Martin	AGE:22	PO:0	OV:53
*Keaton Thompson	AGE:22	PO:0	OV:51

Henrik Lundqvist	AGE:35	PO:0	OV:79
Anders Nilsson	AGE:28	PO:0	OV:76
*Juuse Saros	AGE:23	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
C.J. Suess	Wild	2014	216
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
Gavin Bayreuther	Wild	2014	52
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 MTL	MIN [CON: WPG]	MIN [CON: NJD]	MIN [CON: NJD]
2019	MIN	MIN	MIN	MIN	MIN	MIN [CON: WPG]	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

[30.03.2018 21:53:23] - Wild was eliminated at round 1 of year 2017.
[30.03.2018 21:53:23] - Wild was eliminated at round 1 of year 2017.
[24.02.2018 13:58:54] - TRADE : From Sabres to Wild : 30 000 Kč (Money).
[24.02.2018 13:58:54] - TRADE : From Wild to Sabres : Pat Cannone (56).
[24.02.2018 13:58:39] - TRADE : From Panthers to Wild : Gavin Bayreuther (P).
[24.02.2018 13:58:39] - TRADE : From Wild to Panthers : Andrei Markov (75).
[22.02.2018 20:38:26] - TRADE : From Wild to Blackhawks : Jaromir Jagr (71).
[22.02.2018 20:38:26] - TRADE : From Blackhawks to Wild : C.J. Suess (P), Conditional Draft Pick - Y:2019-RND:6-CHI.
[11.01.2018 20:42:04] - TRADE : From Wild to Ducks : Y:2018-RND:2-MIN.
[11.01.2018 20:42:04] - TRADE : From Ducks to Wild : Thomas Vanek (71).
[11.01.2018 20:42:03] - Thomas Vanek was added to Wild.
[09.01.2018 20:54:12] - TRADE : From Wild to Red Wings : 5 000 000 Kč (Money).
[10.12.2017 0:24:01] - TRADE : From Jets to Wild : Jussi Jokinen (70).
[10.12.2017 0:24:01] - TRADE : From Wild to Jets : Conditional Draft Pick - Y:2018-RND:5-MIN, Conditional Draft Pick - Y:2019-RND:6-MIN.
[10.12.2017 0:24:00] - Jussi Jokinen was added to Wild.
[14.10.2017 20:34:46] - Wild hired Brent Thompson for 100 000 Kč for 5 year(s).

[16.05.2018 20:45:09] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[11.05.2018 20:49:42] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[10.05.2018 23:05:01] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[26.04.2018 20:35:11] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[24.04.2018 20:34:47] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[23.04.2018 20:40:34] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[18.04.2018 21:12:47] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[18.04.2018 20:55:36] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[16.04.2018 20:47:47] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[13.04.2018 21:14:20] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[13.04.2018 21:02:47] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[12.04.2018 21:16:03] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[12.04.2018 20:31:01] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[10.04.2018 20:46:42] Madison Bowey from Wild is back from Sprained Left Knee Injury.
[10.04.2018 20:46:33] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[10.04.2018 20:34:55] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[09.04.2018 21:20:38] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[09.04.2018 21:05:00] Marc-Edouard Vlasic from Wild is back from Right Forearm Injury.
[06.04.2018 20:32:50] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[04.04.2018 20:44:47] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[04.04.2018 20:30:48] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[02.04.2018 20:58:22] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[02.04.2018 20:53:03] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[30.03.2018 21:53:23] Both Wild and Wild lines for next game are empty. Current rosters/lines are not erased.

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
Saison Régulière
2017	82	29	29	0	5	8	7	4	180	181	-1	41	18	13	0	3	4	2	1	98	84	14	41	11	16	0	2	4	5	3	82	97	-15	58	180	280	460	1	3	53	69	46	17	2295	749	756	754	67	2459	1039	272	1865	170	29	17.06%	136	36	73.53%	2	641	1349	47.52%	701	1408	49.79%	424	870	48.74%	1872	1235	1882	636	1241	616
Total Saison Régulière	82	29	29	0	5	8	7	4	180	181	-1	41	18	13	0	3	4	2	1	98	84	14	41	11	16	0	2	4	5	3	82	97	-15	58	180	280	460	1	3	53	69	46	17	2295	749	756	754	67	2459	1039	272	1865	170	29	17.06%	136	36	73.53%	2	641	1349	47.52%	701	1408	49.79%	424	870	48.74%	1872	1235	1882	636	1241	616
2017	4	0	4	0	0	0	0	0	7	17	-10	2	0	2	0	0	0	0	0	2	8	-6	2	0	2	0	0	0	0	0	5	9	-4	0	7	10	17	0	0	3	2	2	0	94	28	34	32	0	118	48	12	97	5	0	0.00%	6	3	50.00%	0	19	40	47.50%	29	66	43.94%	14	48	29.17%	88	58	90	30	60	29
Total Séries	4	0	4	0	0	0	0	0	7	17	-10	2	0	2	0	0	0	0	0	2	8	-6	2	0	2	0	0	0	0	0	5	9	-4	0	7	10	17	0	0	3	2	2	0	94	28	34	32	0	118	48	12	97	5	0	0.00%	6	3	50.00%	0	19	40	47.50%	29	66	43.94%	14	48	29.17%	88	58	90	30	60	29