PIFFPACK - Ducks

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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	Eric Staal	X				100.00	61	43	80	88	82	88	98	94	83	73	87	72	84	93	77	48	62	90	0
2	Sean Couturier	X				100.00	67	42	93	90	81	96	98	90	83	81	82	79	78	69	64	83	61	88	0
3	William Karlsson	X	X			100.00	61	41	87	91	70	90	97	89	83	74	88	81	83	60	62	68	61	86	0
4	Jonathan Marchessault	X		X		100.00	68	43	81	93	57	88	94	93	73	84	80	68	73	58	56	36	61	85	0
5	Artemi Panarin		X			100.00	57	42	88	94	60	93	98	86	50	86	79	64	73	59	55	37	61	84	0
6	Jack Eichel	X				100.00	64	42	87	89	77	93	84	88	71	83	81	65	77	58	56	91	61	84	0
7	Mitchell Marner	X		X		100.00	60	41	85	91	64	85	98	85	83	82	74	62	71	56	53	89	61	81	0
8	Riley Nash	X		X		100.00	69	41	86	81	70	83	95	77	80	67	68	84	69	66	69	66	61	76	0
9	Mikael Backlund	X				100.00	62	46	71	84	73	91	99	75	93	70	65	79	68	71	61	66	61	75	0
10	Carl Hagelin		X			100.00	72	42	84	80	65	84	98	74	65	61	60	77	67	69	62	39	61	72	0
11	Ty Rattie			X		100.00	59	42	73	79	70	73	84	77	50	60	70	60	64	51	51	74	61	72	0
12	Tyler Ennis		X			100.00	64	41	82	86	53	79	94	74	56	56	59	75	68	69	60	65	61	71	0
13	Ryan Suter				X	100.00	67	43	92	83	79	99	98	85	30	82	58	89	67	89	84	52	61	83	0
14	Mark Giordano				X	100.00	68	44	87	79	71	96	99	80	30	64	64	92	73	80	72	23	61	80	0
15	Ron Hainsey				X	100.00	69	42	90	71	79	89	96	69	30	60	54	88	66	89	75	38	61	78	0
16	Dan Hamhuis				X	100.00	68	42	88	70	75	86	96	77	30	61	53	83	65	91	73	41	64	77	0
17	Josh Manson				X	100.00	80	45	79	70	81	86	98	78	30	70	58	89	66	60	59	42	61	77	0
18	Derek Forbort				X	100.00	77	44	83	71	84	87	95	65	30	59	51	85	63	56	57	80	61	74	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	66	43	84	83	72	88	96	81	58	71	68	77	71	69	64	58	61	80

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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	Tuukka Rask	99.00	85	91	91	73	89	88	91	90	90	85	82	83	84	64	61	84	0
2	James Reimer	100.00	79	85	93	86	82	84	83	84	81	77	77	72	76	49	61	80	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	82	88	92	80	86	86	87	87	86	81	80	78	80	57	61	82

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Barry Trotz	73	84	88	85	92	74	60	CAN	55	3	4,000,000$

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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	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	PSG	PSS	FW	FT	S1	S2	S3
1	Jonathan Marchessault	Ducks	C/RW	29	12	14	26	-4	12	0	44	25	136	38	80	8.82%	4	620	21.39	6	6	12	27	122	0	0	0	1	34	1	0	47.37%	57	41	12	0.84	0	1	0	0	3	1	1
2	Eric Staal	Ducks	C	29	6	19	25	-4	21	5	49	56	113	34	67	5.31%	19	673	23.22	3	11	14	14	121	0	0	0	3	76	1	0	53.96%	984	25	10	0.74	1	6	0	1	1	0	2
3	Artemi Panarin	Ducks	LW	29	7	13	20	5	4	0	35	20	75	21	52	9.33%	6	499	17.24	1	2	3	8	102	1	0	1	1	17	1	1	22.22%	18	34	7	0.80	0	0	0	0	0	3	2
4	Sean Couturier	Ducks	C	29	13	7	20	3	4	0	43	45	72	16	41	18.06%	12	554	19.11	2	3	5	5	101	0	0	0	4	83	2	4	45.88%	364	14	10	0.72	2	6	0	0	2	1	2
5	William Karlsson	Ducks	C/LW	29	10	9	19	-3	10	0	28	29	113	38	73	8.85%	15	615	21.23	4	4	8	20	122	1	0	1	4	35	2	0	44.93%	69	23	9	0.62	2	5	0	0	0	1	1
6	Mitchell Marner	Ducks	C/RW	29	8	8	16	3	28	0	33	31	62	15	35	12.90%	9	465	16.04	2	2	4	5	101	0	0	0	0	0	1	0	38.10%	21	19	4	0.69	0	0	0	0	1	0	1
7	Jack Eichel	Ducks	C	29	2	8	10	1	4	0	25	16	55	25	55	3.64%	14	348	12.03	0	0	0	1	5	0	0	0	0	9	1	0	44.19%	172	13	3	0.57	1	1	0	0	0	1	2
8	Riley Nash	Ducks	C/RW	29	6	3	9	1	2	0	25	18	41	6	33	14.63%	7	327	11.28	0	0	0	1	4	0	0	0	0	0	1	1	42.86%	7	6	4	0.55	0	0	0	0	1	2	1
9	Ryan Suter	Ducks	D	29	1	7	8	3	2	0	47	52	49	15	22	2.04%	34	824	28.42	1	2	3	12	139	0	0	0	2	86	0	0	0.00%	0	12	22	0.19	0	0	0	0	0	1	0
10	Mark Giordano	Ducks	D	29	0	6	6	3	8	0	40	45	49	16	21	0.00%	55	820	28.30	0	2	2	8	139	0	0	0	0	82	0	0	0.00%	0	9	28	0.15	0	0	0	0	0	0	0
11	Mikael Backlund	Ducks	C	29	1	4	5	0	14	0	21	20	57	15	39	1.75%	5	257	8.88	0	0	0	0	0	0	1	1	3	28	0	0	47.87%	94	6	5	0.39	0	0	0	0	0	0	0
12	Carl Hagelin	Ducks	LW	29	0	4	4	1	10	0	33	21	27	9	19	0.00%	7	326	11.25	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	6	2	7	0.25	0	0	0	0	0	0	0
13	Ron Hainsey	Ducks	D	29	1	3	4	0	8	0	32	40	24	7	10	4.17%	38	583	20.11	1	0	1	5	86	0	1	1	0	51	1	0	0.00%	0	0	22	0.14	0	0	0	0	0	0	0
14	Ty Rattie	Ducks	RW	29	1	2	3	-3	12	0	7	7	42	12	31	2.38%	3	222	7.68	0	0	0	1	2	0	0	0	0	0	0	0	50.00%	6	11	0	0.27	0	0	0	0	0	0	0
15	Dan Hamhuis	Ducks	D	29	0	2	2	1	13	5	28	22	30	11	11	0.00%	33	593	20.46	0	0	0	0	86	0	0	0	0	52	0	0	0.00%	0	3	12	0.07	0	0	1	0	0	0	0
16	Tyler Ennis	Ducks	LW	29	1	1	2	-2	6	0	15	19	19	7	9	5.26%	1	221	7.65	0	0	0	0	0	0	0	0	0	0	0	0	25.00%	4	4	2	0.18	0	0	0	0	0	0	0
17	Josh Manson	Ducks	D	29	0	1	1	-3	10	0	29	22	19	9	9	0.00%	13	338	11.66	0	0	0	0	1	0	0	0	0	0	0	0	0.00%	0	0	11	0.06	0	0	0	0	0	0	0
18	Derek Forbort	Ducks	D	29	0	0	0	-4	6	0	14	20	9	5	8	0.00%	15	356	12.29	0	0	0	0	1	0	0	0	0	13	0	0	0.00%	0	1	11	0.00	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				522	69	111	180	-2	174	10	548	508	992	299	615	6.96%	290	8648	16.57	20	32	52	107	1140	2	2	4	18	574	11	6	49.89%	1802	223	179	0.42	6	19	1	1	8	10	12

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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
1	Tuukka Rask	Ducks	29	15	12	2	0.932	2.11	1704	4	2	60	885	389	2	1	0.700	20	29	0	6	4
2	James Reimer	Ducks	2	0	0	0	0.921	2.86	63	0	0	3	38	22	0	0	0.000	0	0	29	0	0
Stats d'équipe Total ou en Moyenne			31	15	12	2	0.932	2.14	1768	4	2	63	923	411	2	1	0.700	20	29	29	6	4

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Link
Artemi Panarin	Ducks	LW	25	1991-10-30	No	168 Lbs	5 ft11	No	No	No	1	Contrat d'Entrée	Pro & Farm	6,000,000$	6,000,000$	3,882,353$	No							Lien
Carl Hagelin	Ducks	LW	29	1988-08-23	No	186 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$	2,588,235$	No							Lien
Dan Hamhuis	Ducks	D	34	1982-12-13	No	204 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	2,000,000$	2,000,000$	1,294,118$	No	2,000,000$						Lien
Derek Forbort	Ducks	D	25	1992-03-04	No	215 Lbs	6 ft4	No	No	No	2	Contrat d'Entrée	Pro & Farm	2,525,000$	2,525,000$	1,633,824$	No	2,525,000$						Lien
Eric Staal	Ducks	C	32	1984-10-29	No	209 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	2,264,706$	No							Lien
Jack Eichel	Ducks	C	20	1996-10-28	No	206 Lbs	6 ft2	No	No	No	7	Contrat d'Entrée	Pro & Farm	10,000,000$	10,000,000$	6,470,588$	No	10,000,000$	10,000,000$	10,000,000$	10,000,000$	10,000,000$	10,000,000$	Lien
James Reimer	Ducks	G	29	1988-03-15	No	217 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro & Farm	3,400,000$	3,400,000$	2,200,000$	No	3,400,000$	3,400,000$					Lien
Jonathan Marchessault	Ducks	C/RW	26	1990-12-27	No	174 Lbs	5 ft9	No	No	No	6	Contrat d'Entrée	Pro & Farm	5,000,000$	5,000,000$	3,235,294$	No	5,000,000$	5,000,000$	5,000,000$	5,000,000$	5,000,000$		Lien
Josh Manson	Ducks	D	25	1991-10-07	No	213 Lbs	6 ft3	No	No	No	4	Contrat d'Entrée	Pro & Farm	4,100,000$	4,100,000$	2,652,941$	No	4,100,000$	4,100,000$	4,100,000$				Lien
Mark Giordano	Ducks	D	33	1983-10-03	No	198 Lbs	6 ft0	No	No	No	4	Sans Restriction	Pro & Farm	6,750,000$	6,750,000$	4,367,647$	No	6,750,000$	6,750,000$	6,750,000$				Lien
Mikael Backlund	Ducks	C	28	1989-03-17	No	199 Lbs	6 ft1	No	No	No	6	Sans Restriction	Pro & Farm	5,350,000$	5,350,000$	3,461,765$	No	5,350,000$	5,350,000$	5,350,000$	5,350,000$	5,350,000$		Lien
Mitchell Marner	Ducks	C/RW	20	1997-05-05	No	175 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	894,166$	894,166$	578,578$	No							Lien
Riley Nash	Ducks	C/RW	28	1989-05-09	No	190 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro & Farm	2,750,000$	2,750,000$	1,779,412$	No	2,750,000$	2,750,000$					Lien
Ron Hainsey	Ducks	D	36	1981-03-24	No	205 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	3,000,000$	3,000,000$	1,941,176$	No							Lien
Ryan Suter	Ducks	D	32	1985-01-21	No	202 Lbs	6 ft2	No	No	No	7	Sans Restriction	Pro & Farm	7,538,462$	7,538,462$	4,877,828$	No	7,538,462$	7,538,462$	7,538,462$	7,538,462$	7,538,462$	7,538,462$	Lien
Sean Couturier	Ducks	C	24	1992-12-07	No	211 Lbs	6 ft3	No	No	No	4	Contrat d'Entrée	Pro & Farm	4,333,333$	4,333,333$	2,803,921$	No	4,333,333$	4,333,333$	4,333,333$				Lien
Tuukka Rask	Ducks	G	30	1987-03-10	No	176 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	7,000,000$	7,000,000$	4,529,412$	No	7,000,000$	7,000,000$					Lien
Ty Rattie	Ducks	RW	24	1993-02-05	No	184 Lbs	5 ft11	No	No	No	1	Contrat d'Entrée	Pro & Farm	800,000$	800,000$	517,647$	No							Lien
Tyler Ennis	Ducks	LW	27	1989-10-06	No	161 Lbs	5 ft9	No	No	No	1	Avec Restriction	Pro & Farm	750,000$	750,000$	485,294$	No							Lien
William Karlsson	Ducks	C/LW	24	1993-01-08	No	189 Lbs	6 ft1	No	No	No	1	Contrat d'Entrée	Pro & Farm	5,250,000$	5,250,000$	3,397,059$	No							Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	27.55	194 Lbs	6 ft1	2.95	4,247,048$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
84,940,961$	60,746,795$	56,221,795$	43,071,795$	27,888,462$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	William Karlsson	Eric Staal	Jonathan Marchessault	40	0	1	4
2	Artemi Panarin	Sean Couturier	Mitchell Marner	30	0	1	4
3	Carl Hagelin	Jack Eichel	Riley Nash	20	0	1	4
4	Tyler Ennis	Mikael Backlund	Ty Rattie	10	0	1	4

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Mark Giordano	40	0	4	1
2	Ron Hainsey	Dan Hamhuis	30	0	4	1
3	Josh Manson	Derek Forbort	20	0	4	1
4	Ryan Suter	Mark Giordano	10	0	4	1

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	William Karlsson	Eric Staal	Jonathan Marchessault	60	0	4	1
2	Artemi Panarin	Sean Couturier	Mitchell Marner	40	0	4	1

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Mark Giordano	60	0	4	1
2	Ron Hainsey	Dan Hamhuis	40	0	4	1

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Eric Staal	Sean Couturier	60	0	4	1
2	William Karlsson	Jonathan Marchessault	40	0	4	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Mark Giordano	60	0	4	1
2	Ron Hainsey	Dan Hamhuis	40	0	4	1

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Eric Staal	60	0	4	1	Ryan Suter	Mark Giordano	60	0	4	1
2	Sean Couturier	40	0	4	1	Ron Hainsey	Dan Hamhuis	40	0	4	1

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Eric Staal	Sean Couturier	60	0	4	1
2	William Karlsson	Jonathan Marchessault	40	0	4	1

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Mark Giordano	60	0	4	1
2	Ron Hainsey	Dan Hamhuis	40	0	4	1

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
William Karlsson	Eric Staal	Jonathan Marchessault	Ryan Suter	Mark Giordano

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
William Karlsson	Eric Staal	Jonathan Marchessault	Ryan Suter	Mark Giordano

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jack Eichel, Riley Nash, Mikael Backlund	Jack Eichel, Riley Nash	Mikael Backlund

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Josh Manson, Derek Forbort, Ron Hainsey	Josh Manson	Derek Forbort, Ron Hainsey

Tirs de Pénalité
Eric Staal, Sean Couturier, William Karlsson, Jonathan Marchessault, Jack Eichel

Gardien
#1 : Tuukka Rask, #2 : James Reimer

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

	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
1	Blackhawks	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	7	1	6	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	13	20	0	0	4	1	2	0	40	17	10	13	0	38	8	4	18	5	2	40.00%	2	0	100.00%	0	385	751	51.26%	324	679	47.72%	190	355	53.52%	23	14	19	7	17	9
2	Blue Jackets	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	0	1	0	0	39	13	5	21	0	27	5	4	19	3	0	0.00%	2	1	50.00%	0	385	751	51.26%	324	679	47.72%	190	355	53.52%	23	15	18	8	17	8
3	Blues	2	1	0	0	0	0	0	1	5	2	3	2	1	0	0	0	0	0	1	5	2	3	0	0	0	0	0	0	0	0	0	0	0	3	0.750	5	8	13	0	1	2	1	2	0	66	21	30	15	2	64	20	8	29	12	1	8.33%	4	0	100.00%	0	385	751	51.26%	324	679	47.72%	190	355	53.52%	50	30	38	18	35	18
4	Bruins	2	1	0	0	0	0	0	1	8	8	0	1	0	0	0	0	0	0	1	4	5	-1	1	1	0	0	0	0	0	0	4	3	1	3	0.750	8	14	22	0	0	0	4	4	1	76	19	26	31	3	70	24	10	26	8	1	12.50%	5	1	80.00%	0	385	751	51.26%	324	679	47.72%	190	355	53.52%	46	29	42	17	35	17
5	Devils	2	0	2	0	0	0	0	0	3	10	-7	1	0	1	0	0	0	0	0	0	6	-6	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	0	0	1	2	0	71	21	28	22	0	77	29	14	32	9	0	0.00%	2	0	100.00%	0	385	751	51.26%	324	679	47.72%	190	355	53.52%	45	27	42	16	32	17
6	Flames	2	1	1	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	4	6	10	0	0	1	1	2	0	60	14	17	29	0	59	12	10	42	9	1	11.11%	5	0	100.00%	0	385	751	51.26%	324	679	47.72%	190	355	53.52%	42	22	41	18	36	18
7	Golden Knights	4	2	1	0	0	0	1	0	11	5	6	2	2	0	0	0	0	0	0	8	2	6	2	0	1	0	0	0	1	0	3	3	0	6	0.750	11	18	29	0	1	1	4	5	1	132	41	44	46	4	99	32	20	99	18	5	27.78%	10	2	80.00%	0	385	751	51.26%	324	679	47.72%	190	355	53.52%	97	58	76	36	70	35
8	Jets	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	6	9	15	0	0	1	3	2	0	69	21	28	20	0	70	29	16	43	10	2	20.00%	8	0	100.00%	2	385	751	51.26%	324	679	47.72%	190	355	53.52%	47	28	40	16	32	17
9	Kings	3	0	1	0	1	0	1	0	6	5	1	1	0	0	0	1	0	0	0	3	2	1	2	0	1	0	0	0	1	0	3	3	0	4	0.667	6	6	12	0	0	0	2	2	3	110	25	48	35	7	111	37	28	49	16	2	12.50%	14	2	85.71%	0	385	751	51.26%	324	679	47.72%	190	355	53.52%	64	35	68	28	52	27
10	Maple Leafs	2	0	1	0	0	0	1	0	5	5	0	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	0	0	1	0	3	2	1	2	0.500	5	7	12	0	0	2	1	1	1	77	27	17	27	9	59	24	16	35	9	2	22.22%	8	2	75.00%	0	385	751	51.26%	324	679	47.72%	190	355	53.52%	48	31	43	18	32	14
11	Oilers	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	6	7	13	0	0	2	2	2	0	58	29	14	15	0	58	23	14	47	6	1	16.67%	7	4	42.86%	0	385	751	51.26%	324	679	47.72%	190	355	53.52%	44	26	41	16	33	17
12	Panthers	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	1	0	0	0	2	0	37	13	13	11	0	29	5	0	19	9	1	11.11%	0	0	0.00%	0	385	751	51.26%	324	679	47.72%	190	355	53.52%	24	15	18	8	17	9
13	Penguins	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	1	0	0	0	32	13	9	10	0	20	7	2	21	6	1	16.67%	1	1	0.00%	0	385	751	51.26%	324	679	47.72%	190	355	53.52%	26	17	17	8	16	7
14	Predateurs	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	0	1	0	0	26	3	17	6	0	38	10	4	17	2	0	0.00%	2	0	100.00%	0	385	751	51.26%	324	679	47.72%	190	355	53.52%	21	12	21	7	17	9
15	Sharks	2	0	1	0	0	0	1	0	3	4	-1	1	0	0	0	0	0	1	0	2	1	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	3	4	7	0	0	0	1	1	1	65	19	19	25	5	75	16	22	37	7	0	0.00%	11	1	90.91%	0	385	751	51.26%	324	679	47.72%	190	355	53.52%	45	25	45	18	34	16
16	Stars	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	1	3	2	1.000	4	5	9	0	0	2	0	2	0	34	16	5	13	0	30	9	6	15	4	1	25.00%	3	1	66.67%	0	385	751	51.26%	324	679	47.72%	190	355	53.52%	21	13	21	9	16	8
	Total	29	10	12	0	1	0	4	2	73	66	7	15	7	4	0	1	0	1	2	41	30	11	14	3	8	0	0	0	3	0	32	36	-4	32	0.552	73	111	184	1	2	16	23	29	7	992	312	330	339	30	924	290	178	548	133	20	15.04%	84	15	82.14%	2	385	751	51.26%	324	679	47.72%	190	355	53.52%	675	403	596	256	498	255
	_Since Last GM Reset	29	10	12	0	1	0	4	2	73	66	7	15	7	4	0	1	0	1	2	41	30	11	14	3	8	0	0	0	3	0	32	36	-4	32	0.552	73	111	184	1	2	16	23	29	7	992	312	330	339	30	924	290	178	548	133	20	15.04%	84	15	82.14%	2	385	751	51.26%	324	679	47.72%	190	355	53.52%	675	403	596	256	498	255
	_Vs Conference	20	9	6	0	1	0	3	1	53	34	19	11	7	1	0	1	0	1	1	34	14	20	9	2	5	0	0	0	2	0	19	20	-1	27	0.675	53	77	130	0	2	13	16	20	5	660	206	232	217	18	642	196	132	396	89	15	16.85%	66	10	84.85%	2	385	751	51.26%	324	679	47.72%	190	355	53.52%	459	267	414	177	346	179
	_Vs Division	13	4	5	0	1	0	3	0	30	24	6	6	4	0	0	1	0	1	0	18	7	11	7	0	5	0	0	0	2	0	12	17	-5	16	0.615	30	41	71	0	1	4	10	12	5	425	128	142	150	16	402	120	94	274	56	9	16.07%	47	9	80.85%	0	385	751	51.26%	324	679	47.72%	190	355	53.52%	294	168	273	118	227	115

			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
29	32	L3	73	111	184	992	924	290	178	548	1	2

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
29	10	12	1	0	4	2	73	66

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	7	4	1	0	1	2	41	30

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	3	8	0	0	3	0	32	36

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	6	0	0	1	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
133	20	15.04%	84	15	82.14%	2

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
312	330	339	30	16	23	29	7

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
385	751	51.26%	324	679	47.72%	190	355	53.52%

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
675	403	596	256	498	255

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	Lien
4 - 2018-10-12	13	Golden Knights	0	Ducks	4	W			Sommaire du Match
6 - 2018-10-14	26	Sharks	1	Ducks	2	W	X	X	Sommaire du Match
8 - 2018-10-16	35	Ducks	1	Flames	2	L			Sommaire du Match
11 - 2018-10-19	49	Flames	1	Ducks	3	W			Sommaire du Match
15 - 2018-10-23	66	Ducks	1	Sharks	3	L			Sommaire du Match
18 - 2018-10-26	75	Kings	2	Ducks	3	W	X		Sommaire du Match
20 - 2018-10-28	84	Ducks	1	Kings	2	L			Sommaire du Match
23 - 2018-10-31	99	Oilers	1	Ducks	2	W			Sommaire du Match
26 - 2018-11-03	113	Ducks	4	Oilers	6	L			Sommaire du Match
29 - 2018-11-06	123	Jets	1	Ducks	3	W			Sommaire du Match
31 - 2018-11-08	132	Ducks	2	Golden Knights	1	W	X	X	Sommaire du Match
34 - 2018-11-11	145	Blues	2	Ducks	1	L	X	X	Sommaire du Match
41 - 2018-11-18	171	Blackhawks	1	Ducks	7	W			Sommaire du Match
43 - 2018-11-20	183	Ducks	4	Stars	1	W			Sommaire du Match
45 - 2018-11-22	193	Golden Knights	2	Ducks	4	W			Sommaire du Match
47 - 2018-11-24	201	Ducks	1	Golden Knights	2	L			Sommaire du Match
49 - 2018-11-26	207	Ducks	2	Kings	1	W	X	X	Sommaire du Match
51 - 2018-11-28	213	Ducks	3	Jets	2	W			Sommaire du Match
53 - 2018-11-30	225	Maple Leafs	3	Ducks	2	L			Sommaire du Match
55 - 2018-12-02	234	Ducks	4	Bruins	3	W			Sommaire du Match
60 - 2018-12-07	250	Bruins	5	Ducks	4	L	X	X	Sommaire du Match
63 - 2018-12-10	261	Ducks	3	Maple Leafs	2	W	X	X	Sommaire du Match
65 - 2018-12-12	272	Penguins	2	Ducks	1	L			Sommaire du Match
70 - 2018-12-17	288	Ducks	3	Devils	4	L			Sommaire du Match
72 - 2018-12-19	294	Ducks	2	Panthers	4	L			Sommaire du Match
73 - 2018-12-20	303	Blues	0	Ducks	4	W			Sommaire du Match
76 - 2018-12-23	316	Ducks	1	Blue Jackets	3	L			Sommaire du Match
78 - 2018-12-25	327	Devils	6	Ducks	0	L			Sommaire du Match
83 - 2018-12-30	346	Predateurs	3	Ducks	1	L			Sommaire du Match
85 - 2019-01-01	354	Ducks	-	Predateurs	-
88 - 2019-01-04	368	Ducks	-	Avalanche	-
90 - 2019-01-06	373	Lightning	-	Ducks	-
92 - 2019-01-08	384	Ducks	-	Jets	-
94 - 2019-01-10	393	Ducks	-	Kings	-
97 - 2019-01-13	403	Flames	-	Ducks	-
99 - 2019-01-15	413	Ducks	-	Lightning	-
102 - 2019-01-18	424	Kings	-	Ducks	-
105 - 2019-01-21	434	Ducks	-	Sharks	-
108 - 2019-01-24	450	Kings	-	Ducks	-
110 - 2019-01-26	457	Ducks	-	Stars	-
114 - 2019-01-30	473	Panthers	-	Ducks	-
116 - 2019-02-01	482	Ducks	-	Canadiens	-
120 - 2019-02-05	497	Oilers	-	Ducks	-
125 - 2019-02-10	515	Ducks	-	Golden Knights	-
126 - 2019-02-11	522	Avalanche	-	Ducks	-
129 - 2019-02-14	540	Flyers	-	Ducks	-
135 - 2019-02-20	562	Jets	-	Ducks	-
137 - 2019-02-22	572	Ducks	-	Senateurs	-
138 - 2019-02-23	578	Ducks	-	Lightning	-
141 - 2019-02-26	590	Islanders	-	Ducks	-
144 - 2019-03-01	604	Ducks	-	Oilers	-
146 - 2019-03-03	612	Islanders	-	Ducks	-
148 - 2019-03-05	620	Ducks	-	Islanders	-
151 - 2019-03-08	634	Senateurs	-	Ducks	-
153 - 2019-03-10	643	Ducks	-	Predateurs	-
156 - 2019-03-13	659	Stars	-	Ducks	-
159 - 2019-03-16	669	Ducks	-	Flyers	-
161 - 2019-03-18	677	Ducks	-	Oilers	-
163 - 2019-03-20	688	Blackhawks	-	Ducks	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
169 - 2019-03-26	710	Canadiens	-	Ducks	-
173 - 2019-03-30	731	Golden Knights	-	Ducks	-
178 - 2019-04-04	751	Jets	-	Ducks	-
182 - 2019-04-08	768	Ducks	-	Blues	-
184 - 2019-04-10	778	Blue Jackets	-	Ducks	-
187 - 2019-04-13	791	Ducks	-	Blues	-
189 - 2019-04-15	798	Capitals	-	Ducks	-
194 - 2019-04-20	819	Oilers	-	Ducks	-
197 - 2019-04-23	826	Ducks	-	Sharks	-
201 - 2019-04-27	844	Avalanche	-	Ducks	-
207 - 2019-05-03	860	Ducks	-	Avalanche	-
208 - 2019-05-04	868	Flames	-	Ducks	-
213 - 2019-05-09	889	Ducks	-	Blackhawks	-
214 - 2019-05-10	893	Predateurs	-	Ducks	-
216 - 2019-05-12	908	Ducks	-	Penguins	-
219 - 2019-05-15	916	Sharks	-	Ducks	-
221 - 2019-05-17	929	Ducks	-	Penguins	-
223 - 2019-05-19	938	Sharks	-	Ducks	-
226 - 2019-05-22	945	Ducks	-	Flames	-
231 - 2019-05-27	961	Stars	-	Ducks	-
234 - 2019-05-30	972	Ducks	-	Flames	-
236 - 2019-06-01	978	Ducks	-	Capitals	-
237 - 2019-06-02	983	Ducks	-	Blackhawks	-

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	86,933	72,586	28,898	58,482	14,009
Attendance PCT	96.59%	96.78%	96.33%	97.47%	93.39%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
26	17394 - 96.63%	1,612,489$	24,187,335$	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
31,390,968$	84,940,961$	81,705,455$	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
84,940,961$	29,979,180$	0$	20	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
41,924,714$	154	373,702$	57,550,108$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
58,066,636$	84,940,961$	-208,094$	-16,350,016$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

William Karlsson	AGE:24	PO:68	OV:86
Artemi Panarin	AGE:25	PO:37	OV:84
Carl Hagelin	AGE:29	PO:39	OV:72
Tyler Ennis	AGE:27	PO:65	OV:71
*Andreas Johnsson	AGE:22	PO:43	OV:65
Andrew Mangiapane	AGE:21	PO:49	OV:58

Eric Staal	AGE:32	PO:48	OV:90
Sean Couturier	AGE:24	PO:83	OV:88
William Karlsson	AGE:24	PO:68	OV:86
Jonathan Marchessault	AGE:26	PO:36	OV:85
Jack Eichel	AGE:20	PO:91	OV:84
Mitchell Marner	AGE:20	PO:89	OV:81
Riley Nash	AGE:28	PO:66	OV:76
Mikael Backlund	AGE:28	PO:66	OV:75
Cory Conacher	AGE:27	PO:36	OV:66

Jonathan Marchessault	AGE:26	PO:36	OV:85
Mitchell Marner	AGE:20	PO:89	OV:81
Riley Nash	AGE:28	PO:66	OV:76
Ty Rattie	AGE:24	PO:74	OV:72

Défense #1

Défense #2

Gardien

Ryan Suter	AGE:32	PO:52	OV:83
Mark Giordano	AGE:33	PO:23	OV:80
Ron Hainsey	AGE:36	PO:38	OV:78
Josh Manson	AGE:25	PO:42	OV:77

Dan Hamhuis	AGE:34	PO:41	OV:77
Derek Forbort	AGE:25	PO:80	OV:74
Kyle Capobianco	AGE:20	PO:68	OV:59
*Vili Saarijarvi	AGE:20	PO:44	OV:55

Tuukka Rask	AGE:30	PO:64	OV:84
James Reimer	AGE:29	PO:49	OV:80

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 Mascherin	Ducks
Dennis Cholowski	Ducks
Henri Jokiharju	Ducks	2017	29
Jake Oettinger	Ducks	2017	26
Jan kovar	Ducks
Josh Brook	Ducks
Nicolas Hague	Ducks	2017	34
Ukko Pekka Luukkonen	Ducks

Choix au Repêchage

Année	R1	R2	R3	R4	R5
4	ANA	ANA	ANA	ANA	ANA
5	ANA	ANA	ANA	ANA	ANA
6	ANA	ANA	ANA	ANA	ANA
7	ANA	ANA	ANA	ANA	ANA

[2018-11-29 22:37:33] - New Record for Team's Most Shots Blocked (19) in 1 Game for Ducks!
[2018-10-04 09:46:49] - jan kovar has been added to Ducks.
[2018-10-03 20:43:50] - Tyler Ennis was added to Ducks.
[2018-10-01 23:52:22] - TRADE : From Ducks to Devils : Francois Beauchemin (75).
[2018-10-01 23:42:07] - Francois Beauchemin was added to Ducks.
[2018-10-01 23:41:55] - Dan Hamhuis was added to Ducks.
[2018-09-25 22:18:31] - TRADE : From Ducks to Senateurs : Dustin Byfuglien (79).
[2018-09-25 22:18:31] - TRADE : From Senateurs to Ducks : Ty Rattie (72).
[2018-09-25 00:27:27] - Gulls hired Bryan Trottier for 500 000 $ for 1 year(s).
[2018-09-10 22:41:02] - Leo Komarov was released.
[2018-09-10 22:41:02] - Ducks paid 0 $ to release Leo Komarov.
[2018-09-10 22:40:56] - Braydon Coburn was released.
[2018-09-10 22:40:56] - Ducks paid 0 $ to release Braydon Coburn.
[2018-09-10 22:40:49] - Blake Comeau was released.
[2018-09-10 22:40:49] - Ducks paid 0 $ to release Blake Comeau.
[2018-09-10 22:40:41] - Scott Darling was released.
[2018-09-10 22:40:41] - Ducks paid 0 $ to release Scott Darling.
[2018-09-10 22:40:36] - Niklas Hjalmarsson was released.
[2018-09-10 22:40:36] - Ducks paid 0 $ to release Niklas Hjalmarsson.
[2018-09-10 22:40:28] - Matt Moulson was released.
[2018-09-10 22:40:28] - Ducks paid 0 $ to release Matt Moulson.
[2018-08-29 21:49:37] - Vili Saarijarvi was added to Ducks.
[2018-08-29 21:49:22] - Andreas Johnsson was added to Ducks.
[2018-07-06 22:02:44] - Ted Nolan contract with Gulls has ended.
[2018-06-07 23:25:58] - Gulls was eliminated at round 2 of year 1.
[2018-06-02 22:59:04] - Ducks was eliminated at round 1 of year 1.
[2018-05-14 00:07:57] - New Record for Team's Most Hits (31) in 1 Game for Ducks!

[2018-12-10 20:52:54] Current fund for Ducks is under 0 $.
[2018-12-10 20:52:22] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-12-10 12:10:57] Current fund for Ducks is under 0 $.
[2018-12-10 12:05:51] Current fund for Ducks is under 0 $.
[2018-12-09 23:09:45] Current fund for Ducks is under 0 $.
[2018-12-07 22:26:57] Current fund for Ducks is under 0 $.
[2018-12-07 22:26:01] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-12-06 22:35:05] Current fund for Ducks is under 0 $.
[2018-12-06 22:34:13] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-12-06 22:34:13] Game 331 - Kyle Capobianco from Gulls is injured (Separated Right Shoulder) and is out for 1 week.
[2018-12-05 21:03:43] Gulls lines for next game are empty. Current rosters/lines are not erased. But, Ducks lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2018-12-05 20:52:23] Current fund for Ducks is under 0 $.
[2018-12-05 20:52:22] Successfully loaded Ducks lines done with STHS Client - 3.1.3.0
[2018-12-05 20:52:16] Current fund for Ducks is under 0 $.
[2018-12-04 23:44:52] Current fund for Ducks is under 0 $.
[2018-12-03 21:39:01] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-12-02 22:58:39] Current fund for Ducks is under 0 $.
[2018-11-30 21:20:10] Current fund for Ducks is under 0 $.
[2018-11-30 21:19:43] Gulls lines for next game are empty. Current rosters/lines are not erased. But, Ducks lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2018-11-29 22:37:33] Gulls lines for next game are empty. Current rosters/lines are not erased. But, Ducks lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2018-11-29 22:37:33] New Record for Team's Most Shots Blocked (19) in 1 Game for Ducks!
[2018-11-28 21:16:41] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-11-26 20:42:15] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-11-22 22:42:50] Gulls lines for next game are empty. Current rosters/lines are not erased. But, Ducks lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2018-11-22 22:42:50] Game 246 - Unknown Player from Gulls is injured (Bruised Left Arm) and is out for 5 days.
[2018-11-21 21:48:09] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-11-21 21:48:08] Kyle Capobianco from Gulls has scored a Hat Trick!
[2018-11-20 17:59:45] Successfully loaded Ducks lines done with STHS Client - 3.1.3.0
[2018-11-19 21:56:55] Ducks lines for next game are empty. Current rosters/lines are not erased.
[2018-11-19 21:55:42] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-11-16 22:19:21] Ducks lines for next game are empty. Current rosters/lines are not erased.
[2018-11-16 22:19:02] Gulls lines for next game are empty. Current rosters/lines are not erased.
[2018-11-15 22:25:09] Ducks 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
2	29	10	12	0	1	0	4	2	73	66	7	15	7	4	0	1	0	1	2	41	30	11	14	3	8	0	0	0	3	0	32	36	-4	32	73	111	184	1	2	16	23	29	7	992	312	330	339	30	924	290	178	548	133	20	15.04%	84	15	82.14%	2	385	751	51.26%	324	679	47.72%	190	355	53.52%	675	403	596	256	498	255
Total Saison Régulière	29	10	12	0	1	0	4	2	73	66	7	15	7	4	0	1	0	1	2	41	30	11	14	3	8	0	0	0	3	0	32	36	-4	32	73	111	184	1	2	16	23	29	7	992	312	330	339	30	924	290	178	548	133	20	15.04%	84	15	82.14%	2	385	751	51.26%	324	679	47.72%	190	355	53.52%	675	403	596	256	498	255

Année	R1	R2	R3	R4	R5
4	ANA	ANA	ANA	ANA	ANA
5	ANA	ANA	ANA	ANA	ANA
6	ANA	ANA	ANA	ANA	ANA
7	ANA	ANA	ANA	ANA	ANA

Année	R1	R2	R3	R4	R5
4	ANA	ANA	ANA	ANA	ANA
5	ANA	ANA	ANA	ANA	ANA
6	ANA	ANA	ANA	ANA	ANA
7	ANA	ANA	ANA	ANA	ANA

Année	R1	R2	R3	R4	R5
4	ANA	ANA	ANA	ANA	ANA
5	ANA	ANA	ANA	ANA	ANA
6	ANA	ANA	ANA	ANA	ANA
7	ANA	ANA	ANA	ANA	ANA