PIFFPACK - Predateurs

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Statistiques d'Équipe
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Historique
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Blessure/Suspension
Stats d'équipe en Carrière
Client Web pour Formation
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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	Cam Atkinson			X		100.00	55	37	87	78	64	85	93	77	56	75	87	74	82	78	80	53	85	83	0
2	Filip Forsberg		X			100.00	78	38	84	82	79	84	77	80	55	74	83	76	82	69	76	82	85	83	0
3	Wayne Simmonds			X		100.00	83	61	62	74	78	80	92	73	54	66	71	62	70	79	73	52	85	76	0
4	Mikkel Boedker		X			100.00	64	35	93	80	76	78	84	68	53	76	61	53	65	78	71	69	85	75	0
5	Valtteri Filppula	X				100.00	52	37	88	69	74	77	85	68	79	66	72	83	70	85	79	32	81	74	0
6	Vincent Trocheck	X				100.00	85	45	66	79	68	85	68	72	84	78	67	77	70	71	67	63	85	74	0
7	Bryan Little	X				100.00	64	38	85	74	73	81	95	72	80	73	67	71	70	80	77	52	85	73	0
8	Michael Grabner			X		100.00	62	37	89	78	75	77	54	66	54	64	70	83	68	80	73	52	85	73	0
9	Darren Helm		X			100.00	66	38	85	73	74	77	72	68	59	66	64	77	63	80	72	35	85	72	0
10	Ryan Callahan			X		100.00	83	37	87	67	68	72	70	65	53	66	64	77	65	84	77	31	85	72	0
11	Curtis Lazar	X				100.00	57	37	89	59	75	76	69	58	62	57	58	57	56	67	64	81	85	65	0
12	Patrick Eaves			X		100.00	60	35	93	56	73	72	59	55	56	57	53	56	52	85	75	46	85	62	0
13	Brent Seabrook				X	100.00	82	45	78	66	87	85	91	65	30	76	62	80	53	84	75	56	85	77	0
14	Jack Johnson				X	100.00	92	45	79	64	83	85	95	63	30	70	52	83	51	80	72	56	85	77	0
15	Jeff Petry				X	100.00	86	38	84	73	82	89	95	71	30	80	72	74	58	80	73	58	83	77	0
16	Oliver Ekman-Larsson				X	100.00	85	42	74	78	80	90	94	76	30	79	74	68	61	75	85	73	85	77	0
17	Marc-Edouard Vlasic				X	100.00	54	36	91	66	78	87	83	65	30	77	57	80	52	80	72	47	85	74	0
18	Thomas Hickey				X	100.00	64	44	82	67	71	76	63	66	30	72	62	79	51	78	70	71	85	72	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	71	40	83	71	75	81	80	68	51	71	66	73	63	79	74	56	85	74

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	Corey Crawford	100.00	87	83	81	84	86	85	87	86	85	87	86	85	89	37	85	83	0
2	Cory Schneider	100.00	82	83	81	83	81	80	82	81	80	82	81	82	87	50	84	80	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	85	83	81	84	84	83	85	84	83	85	84	84	88	44	85	82

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Claude Julien	88	87	85	83	87	81	59	CAN	58	3	1,000,000$

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	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Brent Seabrook	Predateurs	D	32	1985-04-20	No	220 Lbs	6 ft3	No	No	No	4	Sans Restriction	Pro & Farm	6,875,000$	6,875,000$	6,875,000$	No	Lien
Bryan Little	Predateurs	C	29	1987-11-12	No	191 Lbs	6 ft0	No	No	No	5	Sans Restriction	Pro & Farm	5,291,666$	5,291,666$	5,291,666$	No	Lien
Cam Atkinson	Predateurs	RW	28	1989-06-05	No	179 Lbs	5 ft8	No	No	No	6	Sans Restriction	Pro & Farm	5,750,000$	5,750,000$	5,750,000$	No	Lien
Corey Crawford	Predateurs	G	32	1984-12-31	No	216 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$	6,000,000$	No	Lien
Cory Schneider	Predateurs	G	31	1986-03-18	No	200 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$	6,000,000$	No	Lien
Curtis Lazar	Predateurs	C	22	1995-02-02	No	205 Lbs	6 ft0	No	No	No	0	Contrat d'Entrée	Pro & Farm		0$	0$	No	Lien
Darren Helm	Predateurs	LW	30	1987-01-21	No	196 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	No	Lien
Filip Forsberg	Predateurs	LW	23	1994-08-13	No	205 Lbs	6 ft1	No	No	No	3	Contrat d'Entrée	Pro & Farm	6,000,000$	6,000,000$	6,000,000$	No	Lien
Jack Johnson	Predateurs	D	30	1987-01-13	No	227 Lbs	6 ft1	No	No	No	4	Sans Restriction	Pro & Farm	3,250,000$	3,250,000$	3,250,000$	No	Lien
Jeff Petry	Predateurs	D	29	1987-12-09	No	197 Lbs	6 ft3	No	No	No	2	Sans Restriction	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	No	Lien
Marc-Edouard Vlasic	Predateurs	D	30	1987-03-30	No	205 Lbs	6 ft1	No	No	No	6	Sans Restriction	Pro & Farm	7,000,000$	7,000,000$	7,000,000$	No	Lien
Michael Grabner	Predateurs	RW	29	1987-10-05	No	188 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	No	Lien
Mikkel Boedker	Predateurs	LW	27	1989-12-16	No	210 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	No	Lien
Oliver Ekman-Larsson	Predateurs	D	26	1991-07-17	No	200 Lbs	6 ft2	No	No	No	0	Contrat d'Entrée	Pro & Farm		0$	0$	No	Lien
Patrick Eaves	Predateurs	RW	33	1984-05-01	No	203 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	3,150,000$	3,150,000$	3,150,000$	No	Lien
Ryan Callahan	Predateurs	RW	32	1985-03-21	No	187 Lbs	5 ft10	No	No	No	0	Sans Restriction	Pro & Farm		0$	0$	No	Lien
Thomas Hickey	Predateurs	D	28	1989-02-08	No	183 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	No	Lien
Valtteri Filppula	Predateurs	C	33	1984-03-20	No	196 Lbs	6 ft0	No	No	No	0	Sans Restriction	Pro & Farm		0$	0$	No	Lien
Vincent Trocheck	Predateurs	C	24	1993-07-11	No	186 Lbs	5 ft10	No	No	No	3	Contrat d'Entrée	Pro & Farm	4,750,000$	4,750,000$	4,750,000$	No	Lien
Wayne Simmonds	Predateurs	RW	29	1988-08-26	No	185 Lbs	6 ft2	No	No	No	0	Sans Restriction	Pro & Farm		0$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	28.85	199 Lbs	6 ft1	2.20	3,453,333$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
69,066,666$	52,916,666$	47,416,666$	28,166,666$	18,041,666$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Filip Forsberg	Vincent Trocheck	Wayne Simmonds	40	1	2	2
2	Michael Grabner	Valtteri Filppula	Cam Atkinson	30	1	2	2
3	Darren Helm	Bryan Little	Ryan Callahan	20	1	2	2
4	Mikkel Boedker	Curtis Lazar	Patrick Eaves	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Marc-Edouard Vlasic	Brent Seabrook	40	1	2	2
2	Oliver Ekman-Larsson	Jack Johnson	30	1	2	2
3	Jeff Petry	Thomas Hickey	20	1	2	2
4	Marc-Edouard Vlasic	Brent Seabrook	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Filip Forsberg	Vincent Trocheck	Wayne Simmonds	60	1	2	2
2	Michael Grabner	Valtteri Filppula	Cam Atkinson	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Marc-Edouard Vlasic	Brent Seabrook	60	1	2	2
2	Oliver Ekman-Larsson	Jack Johnson	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Vincent Trocheck	Filip Forsberg	60	1	2	2
2	Wayne Simmonds	Cam Atkinson	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Marc-Edouard Vlasic	Brent Seabrook	60	1	2	2
2	Oliver Ekman-Larsson	Jack Johnson	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Vincent Trocheck	60	1	2	2	Marc-Edouard Vlasic	Brent Seabrook	60	1	2	2
2	Filip Forsberg	40	1	2	2	Oliver Ekman-Larsson	Jack Johnson	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Vincent Trocheck	Filip Forsberg	60	1	2	2
2	Wayne Simmonds	Cam Atkinson	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Marc-Edouard Vlasic	Brent Seabrook	60	1	2	2
2	Oliver Ekman-Larsson	Jack Johnson	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Filip Forsberg	Vincent Trocheck	Wayne Simmonds	Marc-Edouard Vlasic	Brent Seabrook

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Filip Forsberg	Vincent Trocheck	Wayne Simmonds	Marc-Edouard Vlasic	Brent Seabrook

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Bryan Little, Darren Helm, Mikkel Boedker	Bryan Little, Darren Helm	Mikkel Boedker

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jeff Petry, Thomas Hickey, Oliver Ekman-Larsson	Jeff Petry	Thomas Hickey, Oliver Ekman-Larsson

Tirs de Pénalité
Vincent Trocheck, Filip Forsberg, Wayne Simmonds, Cam Atkinson, Valtteri Filppula

Gardien
#1 : Corey Crawford, #2 : Cory Schneider

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
	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	150	95	55	35	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$	69,066,666$	68,357,142$	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$	15	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$	-12,200,082$	-12,200,082$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Filip Forsberg	AGE:23	PO:82	OV:83
Mikkel Boedker	AGE:27	PO:69	OV:75
Darren Helm	AGE:30	PO:35	OV:72
Aleksi Saarela	AGE:20	PO:63	OV:67
Nick Paul	AGE:22	PO:66	OV:65

Vincent Trocheck	AGE:24	PO:63	OV:74
Valtteri Filppula	AGE:33	PO:32	OV:74
Bryan Little	AGE:29	PO:52	OV:73
Jason Dickinson	AGE:22	PO:77	OV:70
Curtis Lazar	AGE:22	PO:81	OV:65
Vladislav Kamenev	AGE:21	PO:74	OV:61

Cam Atkinson	AGE:28	PO:53	OV:83
Wayne Simmonds	AGE:29	PO:52	OV:76
Michael Grabner	AGE:29	PO:52	OV:73
Ryan Callahan	AGE:32	PO:31	OV:72
Hudson Fasching	AGE:22	PO:56	OV:63
Patrick Eaves	AGE:33	PO:46	OV:62

Défense #1

Défense #2

Gardien

Oliver Ekman-Larsson	AGE:26	PO:73	OV:77
Jeff Petry	AGE:29	PO:58	OV:77
Brent Seabrook	AGE:32	PO:56	OV:77
Jack Johnson	AGE:30	PO:56	OV:77
Marc-Edouard Vlasic	AGE:30	PO:47	OV:74

Thomas Hickey	AGE:28	PO:71	OV:72
Dillon Heatherington	AGE:22	PO:69	OV:65
Brett Lernout	AGE:22	PO:59	OV:65
Joe Morrow	AGE:24	PO:69	OV:64
Chris Bigras	AGE:22	PO:76	OV:63

Corey Crawford	AGE:32	PO:37	OV:83
Cory Schneider	AGE:31	PO:50	OV:80
Mackenzie Blackwood	AGE:20	PO:76	OV:79
Al Montoya	AGE:32	PO:30	OV:70

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
Alexander Romanov	Predateurs	2018	63
Barret Hayton	Predateurs	2018	8
Jay Obrien	Predateurs	2018	31
Lukas Dostal	Predateurs	2018	103
Martin Fehervary	Predateurs	2018	87
Martin Kaut	Predateurs	2018	13
Mattias Samuelsson	Predateurs	2018	55
Michael McLeod	Predateurs	2016	12
Milos Roman	Predateurs	2018
Riley Tufte	Predateurs	2016	25
Ruslan Iskhakov	Predateurs	2018	79

Choix au Repêchage

Année	R1	R2	R3	R4	R5
3	NHS		NHS		NHS TOR
4	NHS	NHS	NHS	NHS
5	NHS	NHS	NHS		NHS
6	NHS	NHS	NHS	NHS	NHS
7	NHS	NHS	NHS	NHS	NHS

[2019-05-26 21:53:43] - Dave Tipett contract with Admirals has ended.
[2019-05-08 20:58:35] - Predateurs was eliminated at round 2 of year 2.
[2019-05-02 21:03:43] - Admirals was eliminated at round 2 of year 2.
[2019-01-30 22:25:42] - New Record for Team's Most Shots (50) in 1 Game for Predateurs!
[2018-12-25 23:38:03] - New Record for Team's Most Shots (49) in 1 Game for Predateurs!
[2018-12-19 22:45:15] - New Record for Team's Most Shots (48) in 1 Game for Predateurs!
[2018-10-29 21:03:53] - New Record for Team's Most Shots Blocked (23) in 1 Game for Predateurs!
[2018-10-24 23:11:57] - New Record for Team's Most Hits (31) in 1 Game for Predateurs!
[2018-10-15 21:49:24] - New Record for Team's Most Points (23) in 1 Game for Predateurs!
[2018-10-15 21:49:24] - New Record for Team's Most Assists (14) in 1 Game for Predateurs!
[2018-10-15 21:49:24] - New Record for Team's Most Goals (9) in 1 Game for Predateurs!
[2018-10-15 21:49:24] - New Record for Team's Most Goals (9) in 1 Game for Predateurs!
[2018-10-08 20:41:30] - TRADE : From Oilers to Predateurs : Thomas Hickey (72).
[2018-10-08 20:41:30] - TRADE : From Predateurs to Oilers : Y:5-RND:4-NHS.
[2018-10-03 20:44:30] - Ryan Callahan was added to Predateurs.
[2018-10-03 20:44:09] - Valtteri Filppula was added to Predateurs.
[2018-10-02 08:05:53] - TRADE : From Senateurs to Predateurs : Michael Grabner (73).
[2018-10-01 23:39:23] - Darren Helm was added to Predateurs.
[2018-09-25 00:26:09] - Admirals hired Dave Tipett for 1 100 000 $ for 1 year(s).
[2018-09-18 14:23:45] - TRADE : From Predateurs to Golden Knights : Y:4-RND:5-NHS.
[2018-09-18 14:23:45] - TRADE : From Golden Knights to Predateurs : Joe Morrow (68).
[2018-09-13 19:39:35] - Milos Roman has been added to Predateurs.

[2019-05-26 21:53:43] Dave Tipett contract with Admirals has ended.
[2019-05-26 21:42:02] Current fund for Predateurs is under 0 $.
[2019-05-25 22:24:24] Current fund for Predateurs is under 0 $.
[2019-05-24 22:08:00] Current fund for Predateurs is under 0 $.
[2019-05-23 21:54:41] Current fund for Predateurs is under 0 $.
[2019-05-22 21:09:31] Current fund for Predateurs is under 0 $.
[2019-05-20 21:43:14] Current fund for Predateurs is under 0 $.
[2019-05-19 23:04:30] Current fund for Predateurs is under 0 $.
[2019-05-18 23:31:50] Current fund for Predateurs is under 0 $.
[2019-05-16 23:06:24] Current fund for Predateurs is under 0 $.
[2019-05-15 22:00:03] Current fund for Predateurs is under 0 $.
[2019-05-13 21:17:22] Current fund for Predateurs is under 0 $.
[2019-05-10 21:27:29] Current fund for Predateurs is under 0 $.
[2019-05-09 21:08:07] Current fund for Predateurs is under 0 $.
[2019-05-08 21:00:08] Current fund for Predateurs is under 0 $.
[2019-05-08 20:58:35] Predateurs lines for next game are empty. Current rosters/lines are not erased.
[2019-05-06 21:05:17] Current fund for Predateurs is under 0 $.

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
Séries
2	11	6	5	0	0	0	0	0	30	27	3	6	3	3	0	0	0	0	0	15	12	3	5	3	2	0	0	0	0	0	15	15	0	12	30	47	77	0	0	5	13	11	1	423	132	147	131	13	350	104	91	228	56	12	21.43%	39	4	89.74%	1	178	345	51.59%	158	281	56.23%	70	142	49.30%	258	155	230	99	188	94
Total Séries	11	6	5	0	0	0	0	0	30	27	3	6	3	3	0	0	0	0	0	15	12	3	5	3	2	0	0	0	0	0	15	15	0	12	30	47	77	0	0	5	13	11	1	423	132	147	131	13	350	104	91	228	56	12	21.43%	39	4	89.74%	1	178	345	51.59%	158	281	56.23%	70	142	49.30%	258	155	230	99	188	94