National Hockey 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	Tomas Hertl	X	X			100.00	69	43	92	89	79	80	95	81	92	85	90	75	36	66	68	0	83	84	0
2	Anze Kopitar (C)	X				99.00	69	44	88	85	82	89	99	83	96	83	78	84	72	80	84	0	87	82	0
3	Mats Zuccarello			X		99.00	77	43	85	88	61	83	81	85	36	89	76	76	89	68	71	0	86	81	0
4	Jakob Silfverberg		X	X		99.00	65	42	88	84	75	76	92	76	38	71	84	81	90	70	73	0	88	78	0
5	Brandon Saad		X	X		100.00	69	43	94	84	75	77	98	72	39	75	80	75	35	72	76	0	88	77	0
6	Jesper Bratt		X	X		98.00	69	42	95	88	63	70	80	78	54	84	70	67	25	59	60	0	80	76	0
7	Nick Foligno (A)	X	X	X		100.00	89	80	82	83	74	77	90	78	67	70	74	78	25	79	81	0	86	76	0
8	Tyler Bozak	X		X		100.00	69	43	90	75	72	74	94	77	92	77	71	72	74	74	75	0	88	74	0
9	Zack Smith	X	X			100.00	84	75	68	79	78	74	86	61	83	72	64	83	25	73	75	0	86	72	0
10	Nolan Patrick	X				100.00	75	54	88	80	74	70	90	71	86	70	71	64	75	57	58	0	87	71	0
11	Zemgus Girgensons	X	X	X		100.00	85	55	91	79	77	66	89	62	39	64	58	90	59	67	67	0	88	70	0
12	Eric Fehr	X		X		100.00	67	43	87	74	78	59	79	60	85	60	59	87	61	77	81	0	83	67	0
13	Keith Yandle (A)				X	99.00	67	42	82	88	72	86	99	92	25	82	51	67	25	81	84	0	88	75	0
14	Justin Braun				X	100.00	81	55	86	82	77	81	97	58	25	54	48	90	25	73	76	0	87	73	0
15	Travis Hamonic				X	100.00	67	53	85	85	77	82	89	59	25	53	50	91	25	72	73	0	86	73	0
16	Jake McCabe				X	99.00	82	56	83	83	77	77	73	60	25	53	49	88	25	65	65	0	87	73	0
17	Nick Jensen				X	100.00	75	53	91	74	70	80	98	60	25	58	48	85	25	59	59	0	88	72	0
18	Ben Chiarot				X	100.00	87	46	78	69	80	76	85	58	25	55	48	79	80	67	68	0	86	69	0
Rayé
1	Chris Wagner	X	X	X		100.00	98	70	81	77	72	65	95	60	45	59	70	83	25	64	65	0	84	70	0
2	Marcus Kruger	X	X	X		100.00	69	42	87	79	68	57	88	61	64	60	57	87	25	71	76	0	48	66	0
3	Carl Dahlstrom				X	89.55	73	45	94	61	86	76	85	60	25	53	47	84	75	58	58	0	59	70	0

	MOYENNE D'ÉQUIPE					99.14	76	51	86	80	75	75	90	69	52	68	64	80	47	69	71	0	83	74

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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	Ben Bishop	99.00	94	79	77	89	98	90	83	92	97	94	82	68	70	0	88	89	0
2	Pheonix Copley	100.00	69	64	61	83	72	66	61	68	75	69	61	46	46	0	87	69	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	82	72	69	86	85	78	72	80	86	82	72	57	58	0	88	79

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bob Hartley	50	60	90	75	70	75	70	CAN	58	6	2,000,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPS	PPM	PKM	GW	GT	FO%	FOT	P/20	S1	S2
1	Keith Yandle	Avalanche	D	1	0	2	2	2	0	3	2	1	0	1	0.00%	0	28	28.93	1	7	0	0	0	0.00%	0	1.38	0	1
2	Brandon Saad	Avalanche	LW/RW	1	1	1	2	1	0	2	1	7	3	4	14.29%	0	16	16.43	1	1	0	1	0	0.00%	0	2.43	1	0
3	Tomas Hertl	Avalanche	C/LW	1	1	1	2	1	2	1	3	9	3	3	11.11%	0	20	20.37	2	5	0	0	0	54.17%	24	1.96	0	0
4	Nick Jensen	Avalanche	D	1	0	1	1	0	0	2	0	2	0	1	0.00%	1	27	27.63	1	6	5	0	0	0.00%	0	0.72	0	0
5	Tyler Bozak	Avalanche	C/RW	1	0	1	1	0	0	1	1	4	0	1	0.00%	0	19	19.48	1	6	0	0	0	23.08%	13	1.03	0	0
6	Mats Zuccarello	Avalanche	RW	1	0	1	1	0	2	1	1	7	2	2	0.00%	0	22	22.67	2	5	0	0	0	50.00%	2	0.88	0	0
7	Jesper Bratt	Avalanche	LW/RW	1	0	1	1	1	0	1	2	4	1	1	0.00%	0	23	23.48	1	6	2	0	0	50.00%	2	0.85	0	0
8	Justin Braun	Avalanche	D	1	0	1	1	0	2	4	1	0	0	1	0.00%	0	25	25.70	0	1	6	0	0	0.00%	0	0.78	0	0
9	Eric Fehr	Avalanche	C/RW	1	0	1	1	1	0	0	5	1	0	1	0.00%	1	17	17.45	0	0	8	0	0	47.06%	34	1.15	0	0
10	Nick Foligno	Avalanche	C/LW/RW	1	1	0	1	0	2	5	2	3	0	2	33.33%	0	17	17.17	0	0	3	0	1	25.00%	4	1.17	0	0
11	Zemgus Girgensons	Avalanche	C/LW/RW	1	1	0	1	1	2	0	0	1	0	6	100.00%	1	16	16.48	0	0	8	0	0	25.00%	4	1.21	0	0
12	Jakob Silfverberg	Avalanche	LW/RW	1	1	0	1	0	0	0	2	1	0	3	100.00%	1	22	22.27	0	5	0	0	0	0.00%	0	0.90	0	0
13	Anze Kopitar	Avalanche	C	1	0	0	0	0	0	1	1	2	2	7	0.00%	0	23	23.33	0	5	0	0	0	60.00%	20	0.00	0	0
14	Ben Chiarot	Avalanche	D	1	0	0	0	0	4	1	1	0	0	0	0.00%	1	18	18.05	0	3	0	0	0	0.00%	0	0.00	0	0
15	Zack Smith	Avalanche	C/LW	1	0	0	0	1	0	0	0	0	2	0	0.00%	0	8	8.20	0	0	0	0	0	0.00%	0	0.00	0	0
16	Travis Hamonic	Avalanche	D	1	0	0	0	2	0	6	3	2	0	0	0.00%	2	27	27.85	0	0	7	0	0	0.00%	0	0.00	0	0
17	Jake McCabe	Avalanche	D	1	0	0	0	0	0	2	0	1	0	1	0.00%	1	27	27.98	1	4	4	0	0	0.00%	0	0.00	0	0
18	Nolan Patrick	Avalanche	C	1	0	0	0	0	0	0	0	3	0	0	0.00%	0	13	13.57	0	0	0	0	0	68.75%	16	0.00	0	0
Stats d'équipe Total ou en Moyenne				18	5	10	15	10	14	30	25	48	13	34	10.42%	8	377	20.95	10	59	48	1	1	49.58%	119	0.80	1	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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Ben Bishop	Avalanche	1	1	0	0	0.913	3.08	78	0	0	4	46	0	0	0	0.000	0	1	0	0	0	0
Stats d'équipe Total ou en Moyenne			1	1	0	0	0.913	3.08	78	0	0	4	46	0	0	0	0.000	0	1	0	0	0	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 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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Anze Kopitar	Avalanche	C	32	1987-08-23	No	224 Lbs	6 ft3	No	No	Yes	6	Sans Restriction	Pro & Farm	10,000,000$	10,000,000$	7,857,143$	No	Lien
Ben Bishop	Avalanche	G	33	1986-11-21	No	215 Lbs	6 ft7	No	No	Yes	5	Sans Restriction	Pro & Farm	4,916,666$	4,916,666$	3,863,095$	No	Lien
Ben Chiarot	Avalanche	D	28	1991-05-08	No	219 Lbs	6 ft3	No	No	Yes	1	Sans Restriction	Pro & Farm	1,400,000$	1,400,000$	1,100,000$	No	Lien
Brandon Saad	Avalanche	LW/RW	27	1992-10-26	No	206 Lbs	6 ft1	No	No	Yes	3	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$	4,714,286$	No	Lien
Carl Dahlstrom	Avalanche	D	25	1995-01-28	No	231 Lbs	6 ft4	No	No	No	1	Avec Restriction	Pro & Farm	750,833$	750,833$	589,940$	No	Lien
Chris Wagner	Avalanche	C/LW/RW	28	1991-05-27	No	198 Lbs	6 ft0	No	No	Yes	2	Sans Restriction	Pro & Farm	1,250,000$	1,250,000$	982,143$	No	Lien
Eric Fehr	Avalanche	C/RW	34	1985-09-07	No	208 Lbs	6 ft4	No	No	Yes	1	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$	785,714$	No	Lien
Jake McCabe	Avalanche	D	26	1993-10-12	No	210 Lbs	6 ft1	No	No	Yes	1	Avec Restriction	Pro & Farm	1,600,000$	1,600,000$	1,257,143$	No	Lien
Jakob Silfverberg	Avalanche	LW/RW	29	1990-10-13	No	202 Lbs	6 ft2	No	No	Yes	1	Sans Restriction	Pro & Farm	3,750,000$	3,750,000$	2,946,429$	No	Lien
Jesper Bratt	Avalanche	LW/RW	21	1998-07-30	No	175 Lbs	5 ft10	No	No	No	2	Avec Restriction	Pro & Farm	749,167$	749,167$	588,631$	No	Lien
Justin Braun	Avalanche	D	33	1987-02-10	No	205 Lbs	6 ft2	No	No	Yes	2	Sans Restriction	Pro & Farm	3,800,000$	3,800,000$	2,985,714$	No	Lien
Keith Yandle	Avalanche	D	33	1986-09-09	No	196 Lbs	6 ft1	No	No	Yes	5	Sans Restriction	Pro & Farm	6,350,000$	6,350,000$	4,989,286$	No	Lien
Marcus Kruger	Avalanche	C/LW/RW	29	1990-05-27	No	186 Lbs	6 ft0	No	No	Yes	1	Sans Restriction	Pro & Farm	3,083,333$	3,083,333$	2,422,619$	No	Lien
Mats Zuccarello	Avalanche	RW	32	1987-08-31	No	179 Lbs	5 ft8	No	No	Yes	1	Sans Restriction	Pro & Farm	4,500,000$	4,500,000$	3,535,714$	No	Lien
Nick Foligno	Avalanche	C/LW/RW	32	1987-10-30	No	202 Lbs	6 ft0	No	No	Yes	3	Sans Restriction	Pro & Farm	5,500,000$	5,500,000$	4,321,429$	No	Lien
Nick Jensen	Avalanche	D	29	1990-09-20	No	194 Lbs	6 ft0	No	No	Yes	1	Sans Restriction	Pro & Farm	812,500$	812,500$	638,393$	No	Lien
Nolan Patrick	Avalanche	C	21	1998-09-19	No	198 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	925,000$	925,000$	726,786$	No	Lien
Pheonix Copley	Avalanche	G	28	1992-01-18	No	200 Lbs	6 ft4	No	No	Yes	1	Sans Restriction	Pro & Farm	650,000$	650,000$	510,714$	No	Lien
Tomas Hertl	Avalanche	C/LW	26	1993-11-12	No	215 Lbs	6 ft2	No	No	Yes	4	Avec Restriction	Pro & Farm	5,625,000$	5,625,000$	4,419,643$	No	Lien
Travis Hamonic	Avalanche	D	29	1990-08-16	No	205 Lbs	6 ft2	No	No	Yes	2	Sans Restriction	Pro & Farm	3,857,143$	3,857,143$	3,030,612$	No	Lien
Tyler Bozak	Avalanche	C/RW	34	1986-03-19	No	199 Lbs	6 ft1	No	No	Yes	3	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	3,928,571$	No	Lien
Zack Smith	Avalanche	C/LW	32	1988-04-05	No	208 Lbs	6 ft2	No	No	Yes	3	Sans Restriction	Pro & Farm	3,250,000$	3,250,000$	2,553,571$	No	Lien
Zemgus Girgensons	Avalanche	C/LW/RW	26	1994-01-05	No	207 Lbs	6 ft2	No	No	Yes	1	Avec Restriction	Pro & Farm	1,600,000$	1,600,000$	1,257,143$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	29.00	204 Lbs	6 ft2	2.26	3,320,419$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
76,369,642$	57,222,976$	46,641,666$	26,891,666$	21,266,666$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jakob Silfverberg	Anze Kopitar	Mats Zuccarello	30	0	1	4
2	Brandon Saad	Tomas Hertl	Jesper Bratt	30	0	1	4
3	Nick Foligno	Nolan Patrick	Tyler Bozak	30	1	2	2
4	Zack Smith	Eric Fehr	Zemgus Girgensons	10	2	2	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Keith Yandle	Travis Hamonic	40	0	2	3
2	Jake McCabe	Justin Braun	33	1	3	1
3	Nick Jensen	Ben Chiarot	27	2	3	0
4	Nick Jensen	Justin Braun	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Tomas Hertl	Anze Kopitar	Mats Zuccarello	50	0	0	5
2	Jesper Bratt	Tyler Bozak	Jakob Silfverberg	50	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Keith Yandle	Nick Jensen	65	0	0	5
2	Keith Yandle	Jake McCabe	35	0	0	5

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Eric Fehr	Zemgus Girgensons	75	0	5	0
2	Zack Smith	Brandon Saad	25	0	5	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Justin Braun	Travis Hamonic	70	0	5	0
2	Nick Jensen	Jake McCabe	30	0	5	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Eric Fehr	70	0	5	0	Travis Hamonic	Justin Braun	70	1	4	0
2	Zack Smith	30	0	5	0	Jake McCabe	Nick Jensen	30	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Anze Kopitar	Mats Zuccarello	60	0	2	3
2	Tomas Hertl	Jakob Silfverberg	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Keith Yandle	Justin Braun	60	0	2	3
2	Jake McCabe	Nick Jensen	40	3	2	0

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Tomas Hertl	Anze Kopitar	Mats Zuccarello	Keith Yandle	Nick Jensen

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Zemgus Girgensons	Anze Kopitar	Eric Fehr	Travis Hamonic	Justin Braun

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brandon Saad, Anze Kopitar, Mats Zuccarello	Jakob Silfverberg, Brandon Saad	Nick Foligno

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jake McCabe, Travis Hamonic, Justin Braun	Jake McCabe	Jake McCabe, Travis Hamonic

Tirs de Pénalité
Jakob Silfverberg, Mats Zuccarello, Ben Chiarot, Nolan Patrick, Tyler Bozak

Gardien
#1 : Ben Bishop, #2 : Pheonix Copley

Lignes d'Attaque Perso. en Prol.
Anze Kopitar, Tomas Hertl, Mats Zuccarello, Brandon Saad, Jakob Silfverberg, Nolan Patrick, Nolan Patrick, Nick Foligno, Zemgus Girgensons, Tyler Bozak, Zack Smith

Lignes de Défense Perso. en Prol.
Keith Yandle, Justin Braun, Travis Hamonic, Jake McCabe, Nick Jensen

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
	Total	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	2	2	0	1	48	15	12	8	13	46	8	14	30	5	0	0.00%	7	1	85.71%	0	17	41	41.46%	30	55	54.55%	12	23	52.17%	32	23	29	9	16	8
2	Wild	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	2	2	0	1	48	15	12	8	13	46	8	14	30	5	0	0.00%	7	1	85.71%	0	17	41	41.46%	30	55	54.55%	12	23	52.17%	32	23	29	9	16	8
	_Since Last GM Reset	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	2	2	0	1	48	15	12	8	13	46	8	14	30	5	0	0.00%	7	1	85.71%	0	17	41	41.46%	30	55	54.55%	12	23	52.17%	32	23	29	9	16	8
	_Vs Conference	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	2	2	0	1	48	15	12	8	13	46	8	14	30	5	0	0.00%	7	1	85.71%	0	17	41	41.46%	30	55	54.55%	12	23	52.17%	32	23	29	9	16	8
	_Vs Division	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	2	2	0	1	48	15	12	8	13	46	8	14	30	5	0	0.00%	7	1	85.71%	0	17	41	41.46%	30	55	54.55%	12	23	52.17%	32	23	29	9	16	8

			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
1	2	W1	5	10	15	48	46	8	14	30	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	1	0	0	0	0	0	5	4

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	1	0	0	0	0	0	5	4

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

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	0	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%	7	1	85.71%	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
15	12	8	13	2	2	0	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
17	41	41.46%	30	55	54.55%	12	23	52.17%

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
32	23	29	9	16	8

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	Lien
2 - 2019-09-20	5	Wild	4	Avalanche	5	W	X	Sommaire du Match
4 - 2019-09-22	13	Wild	-	Avalanche	-
6 - 2019-09-24	21	Avalanche	-	Wild	-
8 - 2019-09-26	29	Avalanche	-	Wild	-
10 - 2019-09-28	37	Wild	-	Avalanche	-
12 - 2019-09-30	45	Avalanche	-	Wild	-
14 - 2019-10-02	53	Wild	-	Avalanche	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	100	60	35	25	200
Assistance	6,000	5,000	2,000	4,000	1,000
Attendance PCT	100.00%	100.00%	100.00%	100.00%	100.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
40	18000 - 100.00%	1,892,300$	1,892,300$	18000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	76,369,642$	76,369,642$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0$	23	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	11	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$	6,310,693$	6,310,693$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Tomas Hertl	AGE:26	PO:0	OV:84
Jakob Silfverberg	AGE:29	PO:0	OV:78
Brandon Saad	AGE:27	PO:0	OV:77
Jesper Bratt	AGE:21	PO:0	OV:76
Nick Foligno	AGE:32	PO:0	OV:76
Zack Smith	AGE:32	PO:0	OV:72
Chris Wagner	AGE:28	PO:0	OV:70
Zemgus Girgensons	AGE:26	PO:0	OV:70
Marcus Kruger	AGE:29	PO:0	OV:66
Lukas Sedlak	AGE:27	PO:0	OV:65
Anders Bjork	AGE:23	PO:0	OV:62

Tomas Hertl	AGE:26	PO:0	OV:84
Anze Kopitar	AGE:32	PO:0	OV:82
Nick Foligno	AGE:32	PO:0	OV:76
Tyler Bozak	AGE:34	PO:0	OV:74
Zack Smith	AGE:32	PO:0	OV:72
Nolan Patrick	AGE:21	PO:0	OV:71
Chris Wagner	AGE:28	PO:0	OV:70
Zemgus Girgensons	AGE:26	PO:0	OV:70
Eric Fehr	AGE:34	PO:0	OV:67
Marcus Kruger	AGE:29	PO:0	OV:66
Lukas Sedlak	AGE:27	PO:0	OV:65

Mats Zuccarello	AGE:32	PO:0	OV:81
Jakob Silfverberg	AGE:29	PO:0	OV:78
Brandon Saad	AGE:27	PO:0	OV:77
Jesper Bratt	AGE:21	PO:0	OV:76
Nick Foligno	AGE:32	PO:0	OV:76
Tyler Bozak	AGE:34	PO:0	OV:74
Chris Wagner	AGE:28	PO:0	OV:70
Zemgus Girgensons	AGE:26	PO:0	OV:70
Eric Fehr	AGE:34	PO:0	OV:67
Marcus Kruger	AGE:29	PO:0	OV:66
Anders Bjork	AGE:23	PO:0	OV:62

Défense #1

Défense #2

Gardien

Keith Yandle	AGE:33	PO:0	OV:75
Justin Braun	AGE:33	PO:0	OV:73
Travis Hamonic	AGE:29	PO:0	OV:73
Jake McCabe	AGE:26	PO:0	OV:73
Nick Jensen	AGE:29	PO:0	OV:72
Carl Dahlstrom	AGE:25	PO:0	OV:70

Ben Chiarot	AGE:28	PO:0	OV:69
Chris Butler	AGE:33	PO:0	OV:66
*Ilya Lyubushkin	AGE:26	PO:0	OV:65
*Juuso Valimaki	AGE:21	PO:0	OV:65
*Urho Vaakanainen	AGE:21	PO:0	OV:56

Ben Bishop	AGE:33	PO:0	OV:89
Alex Nedeljkovic	AGE:24	PO:0	OV:72
Pheonix Copley	AGE:28	PO:0	OV:69

Éspoirs

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total	Information
Aidan Dudas	Avalanche	12	145
Blake Murray	Avalanche
Bokondji Imama	Avalanche
David Gustafsson	Avalanche	12	75
Dawson Leedahl	Avalanche
Emil Bermstrom	Avalanche
Ethan Phillips	Avalanche	13	133
Hunter Warner	Avalanche
Ian Mitchell	Avalanche
Isaiah Saville	Avalanche	13	164
Jamie Devane	Avalanche
Jett Woo	Avalanche	12	52
Jonas Gunnarsson	Avalanche			G
Kasper Bjorkqvist	Avalanche	2016	61
Layton Ahac	Avalanche	13	102
Liam Foudy	Avalanche	12	21
Lukas Elvenes	Avalanche
Mackenzie Skapski	Avalanche
Marcus Davidsson	Avalanche	2017	37
Matiss Kivlenieks	Avalanche
Nikita Alexandrov	Avalanche	13	86
Oskar Steen	Avalanche	2016	165
Reid Duke	Avalanche
Ross Colton	Avalanche
Sebastian Repo	Avalanche
Wyatte Wylie	Avalanche	12	176

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
14				OTT	COL NYI	COL [CON: VAN]	BOS COL
15		COL	COL	COL	COL		COL
16	COL	COL	COL	COL	COL	COL	COL
17	COL	COL	COL	COL	COL	COL	COL
18	COL	COL	COL	COL	COL	COL	COL

[2020-02-18 11:13:24] - TRADE : From Flames to Avalanche : Tomas Hertl (84), Carl Dahlstrom (70).
[2020-02-18 11:13:24] - TRADE : From Avalanche to Flames : Mikkel Boedker (71), Nick Merkley (P), Alex Formenton (P), Conor Timmins (P), Y:15-RND:1-COL.
[2020-01-06 10:21:16] - Nick Foligno has been selected as assistant for Avalanche.
[2020-01-06 10:21:16] - Unknown Player is no longer as assistant for Avalanche.
[2020-01-06 10:21:16] - Keith Yandle has been selected as assistant for Avalanche.
[2020-01-06 10:21:16] - Unknown Player is no longer as assistant for Avalanche.
[2020-01-06 10:21:16] - Anze Kopitar has been selected as captain for Avalanche.
[2020-01-06 10:21:16] - Unknown Player is no longer captain for Avalanche.
[2020-01-03 10:04:29] - TRADE : From Jets to Avalanche : Y:14-RND:7-BOS.
[2020-01-03 10:04:29] - TRADE : From Avalanche to Jets : Hunter Miska (55).
[2019-12-24 13:44:58] - TRADE : From Devils to Avalanche : Mats Zuccarello (81).
[2019-12-24 13:44:58] - TRADE : From Avalanche to Devils : Juuso Riikola (65), Tyler Madden (P), Y:14-RND:3-COL, Y:15-RND:6-COL.
[2019-09-24 21:32:07] - TRADE : From Flyers to Avalanche : Nick Foligno (76).
[2019-09-24 21:32:07] - TRADE : From Avalanche to Flyers : Y:14-RND:2-COL.
[2019-09-19 23:07:42] - TRADE : From Ducks to Avalanche : Zack Smith (72).
[2019-09-19 23:07:42] - TRADE : From Avalanche to Ducks : Andrew Cogliano (67), Adam Beckman (P), Y:14-RND:4-COL, Y:14-RND:6-EDM.
[2019-09-12 22:09:44] - Chris Butler was added to Avalanche.
[2019-09-12 22:09:38] - Juuso Riikola was added to Avalanche.
[2019-09-12 22:09:25] - Ilya Lyubushkin was added to Avalanche.
[2019-09-12 22:09:19] - Eric Fehr was added to Avalanche.
[2019-07-10 19:21:40] - Blake Murray has been added to Avalanche.
[2019-07-07 14:46:26] - Andong Song has been deleted from Avalanche.
[2019-07-03 23:16:58] - Avalanche drafts Isaiah Saville as the #164 overall pick in the Entry Draft of year 13.
[2019-07-01 21:14:41] - Avalanche drafts Ethan Phillips as the #133 overall pick in the Entry Draft of year 13.
[2019-06-30 22:15:37] - Avalanche drafts Layton Ahac as the #102 overall pick in the Entry Draft of year 13.
[2019-06-29 13:16:31] - Avalanche drafts Adam Beckman as the #93 overall pick in the Entry Draft of year 13.
[2019-06-28 22:47:05] - Avalanche drafts Nikita Alexandrov as the #86 overall pick in the Entry Draft of year 13.

[2020-04-14 07:13:52] Successfully loaded Avalanche lines done with Web Base Client and SQLite Database.
[2020-04-12 12:24:04] Successfully loaded Avalanche lines done with Web Base Client and SQLite Database.
[2020-04-12 12:24:03] Chris Butler of Avalanche was sent down to farm.
[2020-04-09 09:32:03] Jesper Bratt from Avalanche is back from Facial Surgery Injury.
[2020-04-08 10:54:47] Successfully loaded Avalanche lines done with Web Base Client and SQLite Database.
[2020-04-05 11:02:17] Successfully loaded Avalanche lines done with Web Base Client and SQLite Database.
[2020-04-03 09:21:31] Eric Fehr from Avalanche is back from Sore Left Knee Injury.
[2020-04-03 09:21:31] Game 1222 - Eric Fehr from Avalanche is injured (Sore Left Knee) and is out for 5 days.
[2020-04-02 09:36:25] Successfully loaded Avalanche lines done with Web Base Client and SQLite Database.
[2020-04-02 09:34:41] Successfully loaded Avalanche lines done with Web Base Client and SQLite Database.
[2020-04-01 09:28:49] Travis Hamonic from Avalanche is back from Fractured Bone in Right Hand Injury.

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
12	82	26	41	0	5	3	1	6	207	249	-42	41	11	21	0	4	1	1	3	103	124	-21	41	15	20	0	1	2	0	3	104	125	-21	52	207	375	582	3	5	81	59	61	7	2476	838	808	795	57	2513	770	609	1909	289	51	17.65%	266	53	80.08%	2	1417	2787	50.84%	1449	2829	51.22%	587	1215	48.31%	1971	1384	1982	583	1016	505
13	82	45	20	0	4	7	2	4	244	176	68	41	25	7	0	2	4	1	2	132	86	46	41	20	13	0	2	3	1	2	112	90	22	113	244	440	684	1	13	85	77	76	6	2455	782	817	826	45	2112	631	705	1891	348	62	17.82%	312	47	84.94%	3	1599	2833	56.44%	1446	2650	54.57%	644	1174	54.86%	2073	1455	1863	602	1037	527
Total Saison Régulière	164	71	61	0	9	10	3	10	451	425	26	82	36	28	0	6	5	2	5	235	210	25	82	35	33	0	3	5	1	5	216	215	1	165	451	815	1266	4	18	166	136	137	13	4931	1620	1625	1621	102	4625	1401	1314	3800	637	113	17.74%	578	100	82.70%	5	3016	5620	53.67%	2895	5479	52.84%	1231	2389	51.53%	4045	2839	3846	1185	2053	1033
13	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	5	10	15	0	0	2	2	0	1	48	15	12	8	13	46	8	14	30	5	0	0.00%	7	1	85.71%	0	17	41	41.46%	30	55	54.55%	12	23	52.17%	32	23	29	9	16	8
Total Séries	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	5	10	15	0	0	2	2	0	1	48	15	12	8	13	46	8	14	30	5	0	0.00%	7	1	85.71%	0	17	41	41.46%	30	55	54.55%	12	23	52.17%	32	23	29	9	16	8