Profi League

Gulls
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Calendrier
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Historique
Blessure/Suspension

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

#	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	Nazem Kadri	X	X	X		100.00	71	39	85	81	84	86	97	90	84	49	55	61	62	79	79	0	54	72	0
2	Thomas Vanek (A)		X	X		100.00	58	30	94	79	85	82	89	86	53	53	50	60	79	97	97	0	49	71	0
3	Patrik Laine (R)		X			100.00	65	30	95	86	90	87	91	94	30	50	60	60	85	58	58	0	54	71	0
4	Viktor Arvidsson (R)		X	X		100.00	58	34	92	76	78	83	89	84	49	49	54	68	61	63	63	0	57	67	0
5	Vernon Fiddler	X				100.00	63	39	87	65	75	73	85	74	82	39	40	71	57	96	96	0	57	65	0
6	Michael Raffl		X			100.00	72	37	94	70	77	79	80	79	52	40	44	59	58	72	72	0	55	64	0
7	Jiri Hudler	X	X	X		100.00	56	32	97	73	77	76	68	81	62	45	42	58	63	90	90	0	52	64	0
8	Ryan Reaves			X		100.00	72	64	82	65	78	69	94	74	37	39	42	60	57	79	79	0	54	63	0
9	Tim Schaller (R)		X			100.00	64	37	93	64	75	74	72	74	59	41	42	68	57	59	59	0	48	61	0
10	Tanner Glass		X			100.00	88	53	80	59	71	71	62	67	57	39	40	59	55	82	82	0	55	61	0
11	Nick Cousins (R)	X				100.00	64	34	93	67	73	75	73	73	69	42	42	60	62	60	60	0	55	61	0
12	Nikita Soshnikov (R)			X		100.00	74	30	95	64	71	75	70	71	37	41	42	66	62	57	57	0	55	60	0
13	Kevin Bieksa				X	100.00	81	60	86	73	79	87	95	79	34	42	40	76	58	91	91	0	52	72	0
14	Andrej Sustr				X	100.00	68	34	92	72	81	84	95	79	34	43	40	78	58	72	72	0	50	69	0
15	Jon Merrill				X	100.00	69	30	93	67	76	85	72	76	33	40	38	76	57	68	68	0	55	65	0
16	Matt Tennyson (R)				X	100.00	74	30	97	64	74	78	63	73	34	41	37	72	55	60	60	0	55	63	0
17	Kevin Connauton (R)				X	100.00	78	36	87	61	72	80	63	68	33	38	38	73	55	66	66	0	52	62	0
18	Brian Strait				X	100.00	73	32	97	62	70	83	60	67	34	30	29	71	54	66	66	0	54	60	0
19	Casey Nelson (R)				X	100.00	72	30	92	54	64	79	55	61	32	39	37	68	54	55	55	0	55	58	0
Rayé
1	Anthony Peluso			X		100.00	68	86	91	65	86	50	52	48	50	31	31	61	42	59	59	0	49	54	0

	MOYENNE D'ÉQUIPE					100.00	69	40	91	68	77	78	76	75	48	42	42	66	60	71	71	0	53	64

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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	Andrew Hammond	100.00	65	96	67	82	67	61	61	60	60	62	73	70	70	0	57	67	0
Rayé
1	Jaroslav Halak	95.00	73	96	78	81	76	72	72	73	73	72	80	84	84	0	54	76	0

	MOYENNE D'ÉQUIPE	97.50	69	96	73	82	72	67	67	67	67	67	77	77	77	0	56	72

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Gerard Gallant	82	79	80	85	75	73	64	CAN	53	5	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	Patrik Laine	Ducks	LW	4	4	4	8	3	0	0	3	14	8	20	28.57%	3	20.:.19	1	1	2	0	0	0	9	1	1	75.00%	4	11	1	0	0	1.97	0	1
2	Nazem Kadri	Ducks	C/LW/RW	4	3	2	5	3	2	0	9	7	4	11	42.86%	3	19.:.55	1	2	3	0	0	0	7	0	0	60.00%	70	8	4	0	0	1.25	0	1
3	Viktor Arvidsson	Ducks	LW/RW	4	1	3	4	4	0	0	2	6	3	5	16.67%	4	17.:.42	0	1	1	0	0	0	2	0	0	0.00%	1	6	1	0	0	1.13	0	0
4	Jiri Hudler	Ducks	C/LW/RW	4	2	1	3	1	2	0	5	13	2	4	15.38%	0	16.:.03	1	0	1	0	0	0	1	1	0	40.00%	5	13	1	0	0	0.93	0	0
5	Thomas Vanek	Ducks	LW/RW	4	2	1	3	0	0	0	2	10	4	1	20.00%	1	16.:.41	1	0	1	0	0	0	2	0	0	100.00%	1	14	0	0	0	0.90	0	0
6	Kevin Bieksa	Ducks	D	4	0	3	3	0	2	0	10	3	4	6	0.00%	7	25.:.28	0	0	0	0	0	0	5	0	0	0.00%	0	0	12	0	0	0.59	0	0
7	Andrej Sustr	Ducks	D	4	0	3	3	2	0	0	4	6	5	5	0.00%	7	21.:.11	0	1	1	0	0	0	6	0	0	0.00%	0	0	6	0	0	0.71	0	0
8	Vernon Fiddler	Ducks	C	4	0	2	2	1	0	0	6	4	1	2	0.00%	3	15.:.34	0	1	1	0	0	0	0	0	0	56.86%	51	2	0	0	0	0.64	0	0
9	Kevin Connauton	Ducks	D	4	0	1	1	0	0	0	6	10	1	3	0.00%	7	13.:.59	0	0	0	0	0	0	0	0	0	0.00%	0	1	1	0	0	0.36	0	0
10	Tim Schaller	Ducks	LW	4	0	1	1	-2	0	0	0	9	2	2	0.00%	1	10.:.14	0	0	0	0	0	0	0	0	0	31.58%	19	5	1	0	0	0.49	0	0
11	Tanner Glass	Ducks	LW	4	1	0	1	-2	2	0	5	3	0	2	33.33%	0	10.:.14	0	0	0	0	0	0	0	0	0	0.00%	0	1	0	0	0	0.49	0	0
12	Michael Raffl	Ducks	LW	4	0	0	0	-1	0	0	3	9	1	6	0.00%	2	13.:.15	0	0	0	0	0	0	1	0	0	0.00%	0	6	1	0	0	0.00	0	0
13	Nikita Soshnikov	Ducks	RW	4	0	0	0	-2	0	0	0	8	2	5	0.00%	0	10.:.14	0	0	0	0	0	0	0	0	0	0.00%	0	3	1	0	0	0.00	0	0
14	Casey Nelson	Ducks	D	4	0	0	0	-2	0	0	2	2	1	1	0.00%	0	04.:.46	0	0	0	0	0	0	0	0	0	0.00%	0	0	2	0	0	0.00	0	0
15	Matt Tennyson	Ducks	D	4	0	0	0	1	0	0	3	2	4	2	0.00%	11	20.:.09	0	0	0	0	0	0	6	0	0	0.00%	0	1	7	0	0	0.00	0	0
16	Nick Cousins	Ducks	C	4	0	0	0	-1	2	0	2	7	1	8	0.00%	2	12.:.56	0	0	0	0	0	0	0	0	0	48.28%	29	6	1	0	0	0.00	0	0
17	Ryan Reaves	Ducks	RW	4	0	0	0	-1	0	0	6	3	1	5	0.00%	1	13.:.23	0	0	0	0	0	0	1	0	0	20.00%	5	2	1	0	0	0.00	0	0
18	Jon Merrill	Ducks	D	4	0	0	0	1	4	0	7	6	6	1	0.00%	5	19.:.31	0	0	0	0	0	0	3	0	0	0.00%	0	0	4	0	0	0.00	0	0
19	Brian Strait	Ducks	D	4	0	0	0	0	0	0	2	6	4	3	0.00%	6	15.:.02	0	0	0	0	0	0	4	0	0	0.00%	0	0	3	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne			76	13	21	34	5	14	0	77	102	128	54	92	10.16%	63	1186	15.62	4	6	10	10	66	0	0	0	1	51	2	1	52.97%	185	79	47	0	0	0.57	0	2	0	0	0	2	3	2

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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	Jaroslav Halak	Ducks	4	2	1	1	93.3%	2.20	245	0	0	9	134	81	0	0	0.0%	2	4	0	0	0	1
Stats d'équipe Total ou en Moyenne			4	2	1	1	0.933	2.20	245	0	0	9	134	81	0	0	0.000	2	4	0	0	0	1

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Salaire Restant	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Andrej Sustr	Ducks	D	26	29.11.1990 3:26:28	No	220 Lbs	6 ft7	No	No	No	4	Avec Restriction	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$
Andrew Hammond	Ducks	G	29	11.02.1988	No	216 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	700,000$	700,000$	700,000$
Anthony Peluso	Ducks	RW	28	18.04.1989	No	235 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro Only	800,000$	800,000$				Lien
Brian Strait	Ducks	D	29	04.01.1988	No	206 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	900,000$	900,000$	900,000$
Casey Nelson	Ducks	D	25	18.07.1992 10:55:08	Yes	190 Lbs	6 ft1	Yes	No	No	1	Avec Restriction	Pro & Farm	1,800,000$	1,800,000$
Jaroslav Halak	Ducks	G	32	13.01.1985	No	186 Lbs	5 ft10	No	No	No	1	Sans Restriction	Pro & Farm	5,400,000$	5,400,000$
Jiri Hudler	Ducks	C/LW/RW	33	04.01.1984	No	190 Lbs	5 ft10	No	No	No	1	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$
Jon Merrill	Ducks	D	25	03.02.1992 2:36:39	No	205 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	1,200,000$	1,200,000$
Kevin Bieksa	Ducks	D	36	16.06.1981	No	200 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	3,000,000$	3,000,000$	3,000,000$
Kevin Connauton	Ducks	D	27	23.02.1990	Yes	205 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro Only	1,300,000$	1,300,000$	1,300,000$
Matt Tennyson	Ducks	D	27	23.04.1990 15:09:08	Yes	205 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	1,700,000$	1,700,000$
Michael Raffl	Ducks	LW	28	01.12.1988 15:01:58	No	200 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	1,900,000$	1,900,000$	1,900,000$
Nazem Kadri	Ducks	C/LW/RW	27	06.10.1990	No	195 Lbs	6 ft0	Yes	No	No	2	Sans Restriction	Pro & Farm	5,800,000$	5,800,000$	5,800,000$
Nick Cousins	Ducks	C	24	20.07.1993 9:46:42	Yes	188 Lbs	5 ft10	No	No	No	1	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$
Nikita Soshnikov	Ducks	RW	24	14.10.1993 3:20:41	Yes	190 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	1,200,000$	1,200,000$
Patrik Laine (Contrat à 1 Volet)	Ducks	LW	19	19.04.1998	Yes	206 Lbs	6 ft5	No	No	No	3	Contrat d'Entrée	Pro & Farm	1,700,000$	1,700,000$	1,700,000$	1,700,000$
Ryan Reaves	Ducks	RW	30	20.01.1987	No	225 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	800,000$	800,000$	800,000$
Tanner Glass	Ducks	LW	33	29.11.1983	No	213 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	800,000$	800,000$	800,000$
Thomas Vanek	Ducks	LW/RW	33	19.01.1984	No	214 Lbs	6 ft2	Yes	No	No	1	Sans Restriction	Pro & Farm	6,300,000$	6,300,000$
Tim Schaller	Ducks	LW	26	16.11.1990	Yes	219 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	2,200,000$	2,200,000$	2,200,000$	2,200,000$
Vernon Fiddler	Ducks	C	37	09.05.1980	No	205 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	1,800,000$	1,800,000$
Viktor Arvidsson	Ducks	LW/RW	24	08.04.1993 1:18:58	Yes	180 Lbs	5 ft9	No	No	No	2	Avec Restriction	Pro & Farm	4,500,000$	4,500,000$	4,500,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	28.27	204 Lbs	6 ft1	1.73	2,331,818$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
51,300,000$	26,100,000$	6,400,000$	2,500,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Patrik Laine	Nazem Kadri	Viktor Arvidsson	37	1	2	2
2	Thomas Vanek	Vernon Fiddler	Jiri Hudler	33	1	2	2
3	Michael Raffl	Nick Cousins	Ryan Reaves	20	1	3	1
4	Tanner Glass	Tim Schaller	Nikita Soshnikov	10	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kevin Bieksa	Andrej Sustr	40	1	2	2
2	Jon Merrill	Matt Tennyson	30	1	2	2
3	Kevin Connauton	Brian Strait	20	1	2	2
4	Casey Nelson	Kevin Bieksa	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Patrik Laine	Nazem Kadri	Thomas Vanek	60	1	2	2
2	Viktor Arvidsson	Vernon Fiddler	Jiri Hudler	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kevin Bieksa	Andrej Sustr	60	1	2	2
2	Jon Merrill	Matt Tennyson	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nazem Kadri	Patrik Laine	60	1	2	2
2	Thomas Vanek	Viktor Arvidsson	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kevin Bieksa	Andrej Sustr	60	1	2	2
2	Jon Merrill	Matt Tennyson	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Nazem Kadri	60	1	2	2	Kevin Bieksa	Andrej Sustr	60	1	2	2
2	Patrik Laine	40	1	2	2	Jon Merrill	Matt Tennyson	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nazem Kadri	Patrik Laine	60	1	2	2
2	Thomas Vanek	Viktor Arvidsson	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kevin Bieksa	Andrej Sustr	60	1	2	2
2	Jon Merrill	Matt Tennyson	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Patrik Laine	Nazem Kadri	Thomas Vanek	Kevin Bieksa	Andrej Sustr

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Patrik Laine	Nazem Kadri	Thomas Vanek	Kevin Bieksa	Andrej Sustr

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Tim Schaller, Michael Raffl, Ryan Reaves	Tim Schaller, Michael Raffl	Ryan Reaves

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Kevin Connauton, Brian Strait, Casey Nelson	Kevin Connauton	Brian Strait, Casey Nelson

Tirs de Pénalité
Nazem Kadri, Patrik Laine, Thomas Vanek, Viktor Arvidsson, Vernon Fiddler

Gardien
#1 : , #2 : Andrew Hammond

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	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	Blue Jackets	1	0	0	1	3	4	-1	1	0.500	3	6	9	1	2	0	31	12	12	6	3	42	14	4	27	2	1	50.00%	2	0	100.00%	35	61	57.38%	35	77	45.45%	28	47	59.57%	23	16	26	7	14	7	33.3%	9.7%	90.5%	100.2	FUN
2	Flyers	1	0	1	0	1	3	-2	0	0.000	1	2	3	0	1	0	36	12	7	17	0	32	20	8	18	1	0	0.00%	4	0	100.00%	35	61	57.38%	35	77	45.45%	28	47	59.57%	22	16	23	7	13	6	25.0%	2.8%	90.6%	93.4	Unlucky
3	Islanders	1	1	0	0	4	1	3	2	1.000	4	5	9	1	1	2	32	13	9	10	0	28	9	2	10	3	2	66.67%	1	1	0.00%	35	61	57.38%	35	77	45.45%	28	47	59.57%	27	19	18	7	14	7	100.0%	12.5%	96.4%	108.9	LUCKY
4	Jets	1	1	0	0	5	2	3	2	1.000	5	8	13	3	2	0	30	17	11	2	0	32	20	0	22	3	1	33.33%	0	0	0.00%	35	61	57.38%	35	77	45.45%	28	47	59.57%	22	14	21	7	15	7	66.7%	16.7%	93.8%	110.4	LUCKY
	Since Last GM Reset	4	2	1	1	13	10	3	5	0.625	13	21	34	5	6	2	129	54	39	35	3	134	63	14	77	9	4	44.44%	7	1	85.71%	35	61	57.38%	35	77	45.45%	28	47	59.57%	96	66	90	30	57	28	50.0%	10.1%	92.5%	102.6	LUCKY
	Total	4	2	1	1	13	10	3	5	0.625	13	21	34	5	6	2	129	54	39	35	3	134	63	14	77	9	4	44.44%	7	1	85.71%	35	61	57.38%	35	77	45.45%	28	47	59.57%	96	66	90	30	57	28	50.0%	10.1%	92.5%	102.6	LUCKY
	Vs Conference	2	1	0	1	8	6	2	3	0.750	8	14	22	4	4	0	61	29	23	8	3	74	34	4	49	5	2	40.00%	2	0	100.00%	35	61	57.38%	35	77	45.45%	28	47	59.57%	46	31	48	15	29	15	50.0%	13.1%	91.9%	105.0	LUCKY

			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	5	W1	13	21	34	129	134	63	14	77	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	1	0	0	0	1	13	10

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	9	3

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	1	0	0	0	1	4	7

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	1	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
9	4	44.44%	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
54	39	35	3	5	6	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
35	61	57.38%	35	77	45.45%	28	47	59.57%

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
96	66	90	30	57	28

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	@	Islanders1,Ducks4	RECAP
Sun, Nov 24	@	Ducks1,Flyers3	RECAP
Tue, Nov 26	@	Ducks3,Blue Jackets4 (SO)	RECAP
Wed, Nov 27	@	Jets2,Ducks5	RECAP

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6526	3435	4294	1717	1202
Prix des Billets	100	43	42	27	150
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$	17174	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
51,300,000$	19,080,000$	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$	28,399,230$	28,399,230$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Nazem Kadri	AGE:27	PO:0	OV:72
Thomas Vanek	AGE:33	PO:0	OV:71
*Patrik Laine	AGE:19	PO:0	OV:71
*Viktor Arvidsson	AGE:24	PO:0	OV:67
Michael Raffl	AGE:28	PO:0	OV:64
Jiri Hudler	AGE:33	PO:0	OV:64
*Tim Schaller	AGE:26	PO:0	OV:61
Tanner Glass	AGE:33	PO:0	OV:61
Jeremy Morin	AGE:26	PO:0	OV:57
*Barclay Goodrow	AGE:24	PO:0	OV:56
*Valentin Zykov	AGE:22	PO:0	OV:56
Craig Cunningham	AGE:26	PO:0	OV:56
Danick Martel	AGE:22	PO:0	OV:55
Connor Brickley	AGE:25	PO:0	OV:55
*Sergey Tolchinsky	AGE:22	PO:0	OV:54
Zac Larraza	AGE:24	PO:0	OV:54
*Radel Fazleev	AGE:21	PO:0	OV:52
*Joey Leach	AGE:25	PO:0	OV:49
*Taylor Leier	AGE:23	PO:0	OV:49
Alex Guptill	AGE:25	PO:0	OV:47

Nazem Kadri	AGE:27	PO:0	OV:72
Vernon Fiddler	AGE:37	PO:0	OV:65
Jiri Hudler	AGE:33	PO:0	OV:64
*Nick Cousins	AGE:24	PO:0	OV:61
*Wade Megan	AGE:27	PO:0	OV:56
Sean Kuraly	AGE:24	PO:0	OV:55
Danick Martel	AGE:22	PO:0	OV:55
Connor Brickley	AGE:25	PO:0	OV:55
*Radel Fazleev	AGE:21	PO:0	OV:52
Justin Kea	AGE:23	PO:0	OV:51
Colin Jacobs	AGE:24	PO:0	OV:43

Nazem Kadri	AGE:27	PO:0	OV:72
Thomas Vanek	AGE:33	PO:0	OV:71
*Viktor Arvidsson	AGE:24	PO:0	OV:67
Jiri Hudler	AGE:33	PO:0	OV:64
Ryan Reaves	AGE:30	PO:0	OV:63
*Nikita Soshnikov	AGE:24	PO:0	OV:60
Jeremy Morin	AGE:26	PO:0	OV:57
Kyle Baun	AGE:25	PO:0	OV:57
Craig Cunningham	AGE:26	PO:0	OV:56
*Nikita Scherbak	AGE:21	PO:0	OV:54
Anthony Peluso	AGE:28	PO:0	OV:54

Défense #1

Défense #2

Gardien

Kevin Bieksa	AGE:36	PO:0	OV:72
Andrej Sustr	AGE:26	PO:0	OV:69
Jon Merrill	AGE:25	PO:0	OV:65
*Matt Tennyson	AGE:27	PO:0	OV:63
*Kevin Connauton	AGE:27	PO:0	OV:62
Brian Strait	AGE:29	PO:0	OV:60
*Casey Nelson	AGE:25	PO:0	OV:58
Adam Comrie	AGE:27	PO:0	OV:55

Zach Palmquist	AGE:26	PO:0	OV:55
Dillon Heatherington	AGE:22	PO:0	OV:54
Sena Acolatse	AGE:26	PO:0	OV:53
Stuart Percy	AGE:24	PO:0	OV:52
Steven Delisle	AGE:27	PO:0	OV:51
*Joey Leach	AGE:25	PO:0	OV:49
*Guillaume Gelinas	AGE:24	PO:0	OV:49

Jaroslav Halak	AGE:32	PO:0	OV:76
Andrew Hammond	AGE:29	PO:0	OV:67
*Malcolm Subban	AGE:23	PO:0	OV:63
Matt O'Connor	AGE:25	PO:0	OV:56

Éspoirs

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total
Adam Johnson	Ducks	2017	118
Brendan Shinnimin	Ducks
Filip Ahl	Ducks	2015	96
Filip Hronek	Ducks	2016	77
Graham McPhee	Ducks	2016	207
Henrik Haapala	Ducks	2017	46
Ian Mitchell	Ducks	2017	50
Jacob Cederholm	Ducks	2016	129
Jay Harrison	Ducks
Jordan Kyrou	Ducks	2016	32
Josh Anderson	Ducks	2016	147
Kasper Bjorkqvist	Ducks	2016	55
Lucas Carlsson	Ducks	2016	89
Marco Cousineau	Ducks
Mason Shaw	Ducks	2017	86
Maxime Clermont	Ducks
Maxime Fortier	Ducks	2016	126
Nick Pryor	Ducks
Nico Hischier	Ducks	2017	1
Nikita Kashirsky	Ducks
Petri Kontiola	Ducks
Ryan Fitzgerald	Ducks	2013	86
Scott Timmins	Ducks
Sebastian Wannstrom	Ducks
Stefan Legein	Ducks
Stephane Da Costa	Ducks
Teemu Kivihalme	Ducks	2013	133
Thomas Vannelli	Ducks	2013	54
Timo Pielmier	Ducks
Vili Saarijarvi	Ducks	2015	71
Vladimir Tkachev	Ducks	2014	107
William Lockwood	Ducks	2016	122
Yegor Korshkov	Ducks	2016	59
missed pick	Ducks	2017	177

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2018	ANA	BUF ANA	ANA PIT	ANA PIT	ANA [CON: PIT]OTT	ANA	ANA [CON: PIT]
2019	ANA	ANA	ANA	ANA	ANA	ANA	ANA
2020	ANA	ANA	ANA	ANA	ANA	ANA	ANA
2021	ANA	ANA	ANA	ANA	ANA	ANA	ANA
2022	ANA	ANA	ANA	ANA	ANA	ANA	ANA

[14.10.2017 8:11:18] - Ducks hired Gerard Gallant for 1 000 000 Kč for 5 year(s).
[14.10.2017 8:11:05] - Ducks fired Randy Carlyle.
[08.10.2017 20:15:17] - Team Name Change : Admirals. changed name to Gulls
[05.10.2017 5:44:31] - TRADE : From Rangers to Ducks : Casey Nelson (58).
[05.10.2017 5:44:31] - TRADE : From Ducks to Rangers : Steven Kampfer (62).
[05.10.2017 5:44:31] - Casey Nelson was added to Ducks.
[03.10.2017 10:10:50] - Ducks drafts missed pick as the #177 overall pick in the Entry Draft of year 2017.
[01.10.2017 10:43:42] - Tanner Glass signed with Ducks for 800 000 Kč for 2 year(s) with 0 Kč in bonus.
[01.10.2017 10:43:42] - Tanner Glass was added to Ducks.
[01.10.2017 10:43:32] - Andrew Hammond signed with Ducks for 700 000 Kč for 2 year(s) with 0 Kč in bonus.
[01.10.2017 10:43:32] - Andrew Hammond was added to Ducks.
[23.09.2017 8:13:49] - Ryan Reaves signed with Ducks for 800 000 Kč for 2 year(s) with 0 Kč in bonus.
[23.09.2017 8:13:49] - Ryan Reaves was added to Ducks.
[23.09.2017 8:13:29] - Brian Strait signed with Ducks for 900 000 Kč for 2 year(s) with 0 Kč in bonus.
[23.09.2017 8:13:29] - Brian Strait was added to Ducks.
[23.09.2017 7:56:41] - TRADE : From Kings to Ducks : 6 000 000 Kč (Money), Y:2017-RND:6-LAK.
[23.09.2017 7:56:41] - TRADE : From Ducks to Kings : Y:2017-RND:5-ANA.
[22.09.2017 5:13:55] - Ducks drafts Adam Johnson as the #118 overall pick in the Entry Draft of year 2017.
[17.09.2017 6:50:23] - TRADE : From Sabres to Ducks : Danick Martel (55), Maxime Fortier (P), Ryan Fitzgerald (P), Vili Saarijarvi (P).
[17.09.2017 6:50:23] - TRADE : From Ducks to Sabres : Nick Baptiste (55).
[17.09.2017 6:50:22] - Danick Martel was added to Ducks.
[17.09.2017 6:42:46] - TRADE : From Canadiens to Ducks : Michael Raffl (64).
[17.09.2017 6:42:46] - TRADE : From Ducks to Canadiens : Y:2017-RND:6-ANA.
[17.09.2017 6:42:45] - Michael Raffl was added to Ducks.
[16.09.2017 16:50:55] - Ducks drafts Mason Shaw as the #86 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:29:58] - Ducks drafts Ian Mitchell as the #50 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:28:09] - Ducks drafts Henrik Haapala as the #46 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	2	1	0	0	0	0	1	13	10	3	2	2	0	0	0	0	0	0	9	3	6	2	0	1	0	0	0	0	1	4	7	-3	5	13	21	34	0	0	5	6	2	0	129	54	39	35	3	134	63	14	77	9	4	44.44%	7	1	85.71%	0	35	61	57.38%	35	77	45.45%	28	47	59.57%	96	66	90	30	57	28
Total Saison Régulière	4	2	1	0	0	0	0	1	13	10	3	2	2	0	0	0	0	0	0	9	3	6	2	0	1	0	0	0	0	1	4	7	-3	5	13	21	34	0	0	5	6	2	0	129	54	39	35	3	134	63	14	77	9	4	44.44%	7	1	85.71%	0	35	61	57.38%	35	77	45.45%	28	47	59.57%	96	66	90	30	57	28