LAAHS - Ducks

Rimouski Oceanic
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Stats d'équipe en Carrière

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	Elias Lindholm	X		X		100.00	75	43	91	86	71	84	98	86	92	87	85	74	42	70	70	85	77	77	0
2	Patrik Laine		X	X		100.00	73	44	85	88	79	75	99	84	36	76	86	54	80	60	61	78	79	73	0
3	David Perron		X	X		100.00	73	43	77	78	73	76	81	79	40	83	88	61	65	79	82	79	76	73	0
4	Jordan Staal	X				100.00	89	47	84	78	83	79	82	76	97	74	71	78	25	81	85	76	74	73	0
5	Tom Wilson			X		100.00	97	99	44	81	84	78	88	68	55	75	84	79	25	68	71	80	67	73	0
6	Phillip Danault	X	X	X		100.00	77	54	85	81	73	77	84	65	97	85	70	86	25	63	63	75	74	72	0
7	Jean-Gabriel Pageau	X	X	X		100.00	81	44	88	80	65	77	76	68	92	67	70	90	25	67	68	69	69	70	0
8	Craig Smith (A)	X	X	X		100.00	75	44	91	79	75	69	95	77	43	68	78	57	55	74	76	74	77	69	0
9	Jack Hughes (R)	X				100.00	70	63	85	80	62	70	80	80	73	74	71	58	59	44	44	75	79	66	0
10	Milan Lucic		X			100.00	98	71	69	70	87	65	98	72	54	63	59	61	25	80	86	66	77	66	0
11	Riley Nash	X		X		100.00	73	53	91	79	71	58	94	62	57	62	56	76	85	69	70	65	77	66	0
12	Trevor Lewis	X	X	X		100.00	77	57	93	74	76	67	73	63	51	64	56	76	25	73	77	66	77	65	0
13	Alexander Edler				X	100.00	88	46	73	80	79	91	80	87	25	71	58	97	51	81	85	76	70	79	1
14	Jack Johnson				X	100.00	93	57	85	76	82	78	99	59	25	52	47	86	62	81	82	65	77	73	0
15	Nick Leddy				X	100.00	73	43	92	88	73	84	98	80	25	64	49	72	63	74	78	66	74	73	0
16	Deryk Engelland				X	100.00	87	46	91	67	78	80	94	57	25	52	47	93	25	75	78	65	77	72	0
17	Scott Mayfield				X	100.00	80	78	76	74	86	77	80	62	25	54	49	87	25	57	57	64	76	70	0
18	Mike Green				X	100.00	79	44	81	83	73	84	72	75	25	69	51	63	25	79	83	68	70	69	0
Rayé
1	Maxime Lajoie				X	100.00	67	42	88	77	68	77	75	70	25	52	54	83	25	50	50	65	48	67	0

	MOYENNE D'ÉQUIPE					100.00	80	54	83	79	76	76	87	72	51	68	65	75	43	70	72	71	73	71

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 Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Jacob Markstrom	100.00	80	90	86	84	78	82	64	81	82	80	92	64	64	79	77	76	0
2	Cal Petersen	100.00	72	74	70	70	80	64	66	69	80	72	45	45	45	71	77	67	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	76	82	78	77	79	73	65	75	81	76	69	55	55	75	77	72

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bob Murray	81	74	55	67	64	60	67	CAN	64	1	600,000$

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	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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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 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

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	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	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	Link
Alexander Edler	Ducks	D	32	1986-04-21	No	214 Lbs	6 ft3	No	No	No	2	Pro & Farm	6,000,000$	6,000,000$	0$	No	6,000,000$					Lien
Cal Petersen	Ducks	G	23	1994-10-19	No	185 Lbs	6 ft1	No	No	No	3	Pro & Farm	858,333$	858,333$	0$	No	858,333$	858,333$				Lien
Craig Smith	Ducks	C/LW/RW	28	1989-09-05	No	208 Lbs	6 ft1	No	No	No	1	Pro & Farm	4,250,000$	4,250,000$	0$	No						Lien
David Perron	Ducks	LW/RW	30	1988-05-28	No	200 Lbs	6 ft0	No	No	No	3	Pro & Farm	4,000,000$	4,000,000$	0$	No	4,000,000$	4,000,000$				Lien
Deryk Engelland	Ducks	D	36	1982-04-03	No	214 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	No						Lien
Elias Lindholm	Ducks	C/RW	23	1994-12-02	No	192 Lbs	6 ft1	No	No	No	4	Pro & Farm	4,850,000$	4,850,000$	0$	No	4,850,000$	4,850,000$	4,850,000$			Lien
Jack Hughes	Ducks	C	17	2001-05-14 05:55:37	Yes	170 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	No	925,000$	925,000$
Jack Johnson	Ducks	D	31	1987-01-12	No	227 Lbs	6 ft1	No	No	No	4	Pro & Farm	3,250,000$	3,250,000$	0$	No	3,250,000$	3,250,000$	3,250,000$			Lien
Jacob Markstrom	Ducks	G	28	1990-01-31	No	196 Lbs	6 ft6	No	No	No	1	Pro & Farm	3,666,666$	3,666,666$	0$	No						Lien
Jean-Gabriel Pageau	Ducks	C/LW/RW	25	1992-11-11	No	184 Lbs	5 ft10	No	No	No	6	Pro & Farm	3,100,000$	3,100,000$	0$	No	5,000,000$	5,000,000$	5,000,000$	5,000,000$	5,000,000$	Lien
Jordan Staal	Ducks	C	29	1988-09-10	No	220 Lbs	6 ft4	No	No	No	4	Pro & Farm	6,000,000$	6,000,000$	0$	No	6,000,000$	6,000,000$	6,000,000$			Lien
Maxime Lajoie	Ducks	D	20	1997-11-05	No	183 Lbs	6 ft1	No	No	No	2	Pro & Farm	790,000$	790,000$	0$	No	790,000$					Lien
Mike Green	Ducks	D	32	1985-10-11	No	207 Lbs	5 ft11	No	No	No	1	Pro & Farm	5,375,000$	5,375,000$	0$	No						Lien
Milan Lucic	Ducks	LW	30	1988-06-06	No	236 Lbs	6 ft3	No	No	No	2	Pro & Farm	6,000,000$	6,000,000$	0$	No	6,000,000$					Lien
Nick Leddy	Ducks	D	27	1991-03-20	No	204 Lbs	6 ft0	No	No	No	3	Pro & Farm	5,500,000$	5,500,000$	0$	No	5,500,000$	5,500,000$				Lien
Patrik Laine	Ducks	LW/RW	20	1998-04-19	No	206 Lbs	6 ft5	No	No	No	2	Pro & Farm	6,750,000$	6,750,000$	0$	No	6,750,000$					Lien
Phillip Danault	Ducks	C/LW/RW	25	1993-02-24	No	195 Lbs	6 ft1	Yes	No	No	2	Pro & Farm	3,083,333$	3,083,333$	0$	No	3,083,333$					Lien
Riley Nash	Ducks	C/RW	29	1989-05-09	No	190 Lbs	6 ft1	No	No	No	2	Pro & Farm	2,750,000$	2,750,000$	0$	No	2,750,000$					Lien
Scott Mayfield	Ducks	D	25	1992-10-14	No	227 Lbs	6 ft4	No	No	No	4	Pro & Farm	1,400,000$	1,400,000$	0$	No	1,400,000$	1,400,000$	1,400,000$			Lien
Tom Wilson	Ducks	RW	24	1994-03-29	No	218 Lbs	6 ft4	No	No	No	4	Pro & Farm	5,166,666$	5,166,666$	0$	No	5,166,666$	5,166,666$	5,166,666$			Lien
Trevor Lewis	Ducks	C/LW/RW	31	1987-01-07	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	0$	No						Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	26.90	204 Lbs	6 ft2	2.62	3,638,809$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
76,414,998$	62,323,332$	36,949,999$	25,666,666$	5,000,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	David Perron	Jordan Staal	Elias Lindholm	40	1	2	2
2	Patrik Laine	Phillip Danault	Tom Wilson	30	1	2	2
3	Craig Smith	Jean-Gabriel Pageau	Riley Nash	20	1	2	2
4	Milan Lucic	Jack Hughes	Trevor Lewis	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alexander Edler	Jack Johnson	40	1	2	2
2	Nick Leddy	Deryk Engelland	30	1	2	2
3	Scott Mayfield	Mike Green	20	1	2	2
4	Alexander Edler	Jack Johnson	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Patrik Laine	Elias Lindholm	David Perron	60	1	2	2
2	Phillip Danault	Jordan Staal	Tom Wilson	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alexander Edler	Nick Leddy	60	1	2	2
2	Jack Johnson	Deryk Engelland	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jean-Gabriel Pageau	Tom Wilson	60	1	2	2
2	Phillip Danault	David Perron	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Scott Mayfield	Jack Johnson	60	1	2	2
2	Nick Leddy	Deryk Engelland	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Phillip Danault	60	1	2	2	Alexander Edler	Jack Johnson	60	1	2	2
2	Jean-Gabriel Pageau	40	1	2	2	Nick Leddy	Deryk Engelland	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Elias Lindholm	Patrik Laine	60	1	2	2
2	Phillip Danault	David Perron	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alexander Edler	Jack Johnson	60	1	2	2
2	Nick Leddy	Deryk Engelland	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Patrik Laine	Elias Lindholm	Tom Wilson	Alexander Edler	Jack Johnson

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Patrik Laine	Elias Lindholm	Tom Wilson	Alexander Edler	Jack Johnson

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jean-Gabriel Pageau, Craig Smith, Jack Hughes	Jean-Gabriel Pageau, Craig Smith	Jack Hughes

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Scott Mayfield, Mike Green, Nick Leddy	Scott Mayfield	Mike Green, Nick Leddy

Tirs de Pénalité
Elias Lindholm, Tom Wilson, Patrik Laine, David Perron, Jordan Staal

Gardien
#1 : Jacob Markstrom, #2 : Cal Petersen

Lignes d'Attaque Perso. en Prol.
Elias Lindholm, Tom Wilson, Patrik Laine, David Perron, Jordan Staal, Phillip Danault, Phillip Danault, Jean-Gabriel Pageau, Craig Smith, Jack Hughes, Milan Lucic

Lignes de Défense Perso. en Prol.
Alexander Edler, Jack Johnson, Nick Leddy, Deryk Engelland, Scott Mayfield

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	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			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
0	0	N/A	0	0	0	0	0	0	0	0	0	0

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

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

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
0	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
0	0	0.00%	0	0	0.00%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
0	0	0	0	0	0	0	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
0	0	0.00%	0	0	0.00%	0	0	0.00%

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
0	0	0	0	0	0

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	SO	RI	Lien

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	20	200
Assistance	0.00%	0.00%	0.00%	0.00%	0.00%
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
41	0 - 0.00%	0$	0$	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$	76,414,998$	48,098,332$	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$	21	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$	17,287,429$	17,287,429$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

David Perron	AGE:30	PO:79	OV:73
Patrik Laine	AGE:20	PO:78	OV:73
Phillip Danault	AGE:25	PO:75	OV:72
Jean-Gabriel Pageau	AGE:25	PO:69	OV:70
Craig Smith	AGE:28	PO:74	OV:69
Milan Lucic	AGE:30	PO:66	OV:66
Trevor Lewis	AGE:31	PO:66	OV:65
Andrew Poturalski	AGE:24	PO:67	OV:64
Riley Barber	AGE:24	PO:67	OV:62
Jordan Nolan	AGE:29	PO:64	OV:62
Nick Paul	AGE:23	PO:61	OV:59
Tyler Sikura	AGE:26	PO:60	OV:58
*Ryan Dmowski	AGE:21	PO:57	OV:55

Elias Lindholm	AGE:23	PO:85	OV:77
Jordan Staal	AGE:29	PO:76	OV:73
Phillip Danault	AGE:25	PO:75	OV:72
Jean-Gabriel Pageau	AGE:25	PO:69	OV:70
Craig Smith	AGE:28	PO:74	OV:69
*Jack Hughes	AGE:17	PO:75	OV:66
Riley Nash	AGE:29	PO:65	OV:66
Trevor Lewis	AGE:31	PO:66	OV:65
Andrew Poturalski	AGE:24	PO:67	OV:64
Riley Barber	AGE:24	PO:67	OV:62
Jordan Nolan	AGE:29	PO:64	OV:62
Nick Paul	AGE:23	PO:61	OV:59
Mark McNeill	AGE:25	PO:61	OV:58
Tyler Sikura	AGE:26	PO:60	OV:58
Ben Sexton	AGE:27	PO:59	OV:57
Ryan MacInnis	AGE:22	PO:56	OV:56
Felix Girard	AGE:24	PO:54	OV:56
Steven Fogarty	AGE:25	PO:58	OV:55
Reid Duke	AGE:22	PO:58	OV:55
Jeremy Gregoire	AGE:22	PO:56	OV:55
Tim Clifton	AGE:26	PO:53	OV:52
Grayson Downing	AGE:26	PO:52	OV:52
Marco Roy	AGE:23	PO:52	OV:51

Elias Lindholm	AGE:23	PO:85	OV:77
Tom Wilson	AGE:24	PO:80	OV:73
David Perron	AGE:30	PO:79	OV:73
Patrik Laine	AGE:20	PO:78	OV:73
Phillip Danault	AGE:25	PO:75	OV:72
Jean-Gabriel Pageau	AGE:25	PO:69	OV:70
Craig Smith	AGE:28	PO:74	OV:69
Riley Nash	AGE:29	PO:65	OV:66
Trevor Lewis	AGE:31	PO:66	OV:65
Andrew Poturalski	AGE:24	PO:67	OV:64
Riley Barber	AGE:24	PO:67	OV:62
Jordan Nolan	AGE:29	PO:64	OV:62
Nicholas Baptiste	AGE:22	PO:63	OV:60
Deven Sideroff	AGE:21	PO:54	OV:54

Défense #1

Défense #2

Gardien

Alexander Edler	AGE:32	PO:76	OV:79
Nick Leddy	AGE:27	PO:66	OV:73
Jack Johnson	AGE:31	PO:65	OV:73
Deryk Engelland	AGE:36	PO:65	OV:72
Scott Mayfield	AGE:25	PO:64	OV:70
Mike Green	AGE:32	PO:68	OV:69
Maxime Lajoie	AGE:20	PO:65	OV:67
Connor Clifton	AGE:23	PO:59	OV:65
Connor Carrick	AGE:24	PO:62	OV:64

Taylor Fedun	AGE:30	PO:61	OV:63
Andreas Englund	AGE:22	PO:54	OV:60
Dan Renouf	AGE:24	PO:54	OV:60
Mark Alt	AGE:26	PO:54	OV:58
Kyle Capobianco	AGE:20	PO:59	OV:57
Kyle Burroughs	AGE:22	PO:51	OV:57
*William Borgen	AGE:21	PO:52	OV:56
Jake Chelios	AGE:27	PO:52	OV:56

Jacob Markstrom	AGE:28	PO:79	OV:76
Cal Petersen	AGE:23	PO:71	OV:67
Chris Nell	AGE:23	PO:67	OV:64
*Filip Gustavsson	AGE:20	PO:51	OV:53
*Tyler Parsons	AGE:20	PO:50	OV:51

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
Aarne Talvitte	Ducks	2017	122
Beau Starrett	Ducks	2014	87
Braden Doyle	Ducks	2019	169
Brandon Duhaime	Ducks	2016	154
Bryan Moore	Ducks
CLIFFORD WATSON	Ducks	2012	169
David Drake	Ducks	2013	181
Erik Walli-Walterholm	Ducks	2017	192
Grigori Denisenko	Ducks	2018	18
Ilya Sorokin	Ducks	2014	75
Jack Rathbone	Ducks	2017	125
Jacob McGrew	Ducks	2017	162
Kelly Summers	Ducks	2014	195
MATTHEW BRADLEY	Ducks	2015	123
Marc-Olivier Roy	Ducks
Marcus Soberg	Ducks	2013	165
Mason Millman	Ducks	2019	155
Matt Tomkins	Ducks
Matthew Cairns	Ducks	2016	124
Mikkel Aagaard	Ducks
Owen Lindmark	Ducks	2019	168
RYAN SHEA	Ducks	2015	153
Shane Eiserman	Ducks	2014	105
Simon Kjellberg	Ducks	2018	198
Tomas Mazura	Ducks	2019	185
Tommy Wingels	Ducks

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
2020	ANA NJD	ANA	ANA	NJD ANA CAL	ANA	ANA	VAN	ANA
2021	ANA	ANA NJD	ANA	ANA	ANA	ANA	ANA	ANA
2022	ANA	ANA	ANA	ANA	ANA	ANA	ANA	ANA
2023	ANA	ANA	ANA	ANA	ANA	ANA	ANA	ANA
2024	ANA	ANA	ANA	ANA	ANA	ANA	ANA	ANA

[2020-04-29 17:02:26] - Rimouski Oceanic didn't make playoff for year 2019.
[2020-04-29 17:02:26] - Ducks didn't make playoff for year 2019.
[2019-11-30 11:57:34] - Jack Hughes was added to Ducks.
[2019-10-30 19:54:43] - Filip Gustavsson signed with Ducks for 500 000 $ for 1 year(s).
[2019-10-30 19:54:43] - Filip Gustavsson was added to Ducks.
[2019-10-29 19:12:36] - Tyler Parsons signed with Ducks for 500 000 $ for 1 year(s).
[2019-10-29 19:12:36] - Tyler Parsons was added to Ducks.
[2019-10-29 19:12:15] - Nick Paul signed with Ducks for 500 000 $ for 1 year(s).
[2019-10-29 19:12:15] - Nick Paul was added to Ducks.
[2019-10-08 18:44:45] - TRADE : From Canucks to Ducks : Ben Sexton (57), Chris Nell (64), Felix Girard (56), Grayson Downing (52), Jake Chelios (57), Tim Clifton (52), Y:2020-RND:7-VAN.
[2019-10-08 18:44:45] - TRADE : From Ducks to Canucks : Y:2020-RND:7-ANA.
[2019-09-23 15:09:50] - Rimouski Oceanic hired Chris Dennis for 60 000 $ for 1 year(s).
[2019-09-23 15:09:41] - Ducks hired Bob Murray for 600 000 $ for 1 year(s).

[2020-04-27 19:35:16] Ducks lines for next game are empty. Current rosters/lines are not erased.
[2020-04-27 19:34:31] Successfully loaded Ducks lines done with STHS Client - 3.2.0.5
[2020-04-23 16:06:35] Ducks lines for next game are empty. Current rosters/lines are not erased.
[2020-04-23 16:06:28] Successfully loaded Ducks lines done with STHS Client - 3.2.0.5
[2020-04-21 15:53:12] Ducks lines for next game are empty. Current rosters/lines are not erased.
[2020-04-21 15:51:45] Successfully loaded Ducks lines done with STHS Client - 3.2.0.5
[2020-04-16 18:43:28] Ducks lines for next game are empty. Current rosters/lines are not erased.
[2020-04-15 17:04:45] Rimouski Oceanic lines for next game are empty. Current rosters/lines are not erased.
[2020-04-14 17:33:51] Ducks lines for next game are empty. Current rosters/lines are not erased.
[2020-04-14 17:27:08] Successfully loaded Ducks lines done with STHS Client - 3.2.0.5

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
2016	82	27	37	0	9	3	3	3	218	244	-26	41	12	19	0	4	2	1	3	100	124	-24	41	15	18	0	5	1	2	0	118	120	-2	54	218	355	573	3	1	40	94	72	14	2653	770	941	916	46	2723	933	791	1749	202	40	19.80%	269	44	83.64%	4	968	1928	50.21%	981	1910	51.36%	575	1179	48.77%	1695	944	1776	766	1492	727
2017	82	32	32	0	6	5	5	2	259	265	-6	41	17	15	0	4	0	4	1	137	128	9	41	15	17	0	2	5	1	1	122	137	-15	64	259	417	676	1	1	62	86	100	12	2850	910	1012	894	52	2889	948	504	1684	168	28	16.67%	249	60	75.90%	5	1024	1908	53.67%	1007	1861	54.11%	668	1260	53.02%	1755	1019	1781	749	1447	705
2018	82	28	39	0	6	5	2	2	273	296	-23	41	16	15	0	4	3	1	2	147	141	6	41	12	24	0	2	2	1	0	126	155	-29	56	273	447	720	3	0	65	115	85	8	2871	831	1039	971	41	2844	941	653	1691	202	48	23.76%	257	55	78.60%	8	983	1908	51.52%	990	1919	51.59%	630	1273	49.49%	1731	987	1780	743	1449	718
2019	82	39	31	0	3	1	4	4	284	247	37	41	19	14	0	1	1	2	4	139	120	19	41	20	17	0	2	0	2	0	145	127	18	97	284	468	752	4	1	61	104	112	9	2897	969	912	996	51	2681	858	591	1676	206	57	27.67%	227	54	76.21%	3	989	1870	52.89%	1018	1925	52.88%	657	1251	52.52%	1775	1039	1743	734	1448	721
Total Saison Régulière	328	126	139	0	24	14	14	11	1034	1052	-18	164	64	63	0	13	6	8	10	523	513	10	164	62	76	0	11	8	6	1	511	539	-28	271	1034	1687	2721	11	3	228	399	369	43	11271	3480	3904	3777	190	11137	3680	2539	6800	778	173	22.24%	1002	213	78.74%	20	3964	7614	52.06%	3996	7615	52.48%	2530	4963	50.98%	6958	3990	7082	2994	5836	2872