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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	Mika Zibanejad	X				100.00	82	41	77	80	83	87	95	78	86	81	79	80	82	71	73	84	77	84	0
2	Jakub Voracek			X		100.00	53	38	85	81	83	84	91	82	54	83	73	52	78	80	72	69	70	80	0
3	James van Riemsdyk		X			100.00	58	37	87	76	87	81	79	75	53	73	82	54	80	78	74	73	77	79	0
4	Jake DeBrusk		X			100.00	63	37	87	75	72	81	82	74	53	70	81	62	78	65	67	83	62	77	0
5	Clayton Keller	X				100.00	53	38	86	81	64	83	95	79	57	77	66	53	82	61	66	87	77	75	0
6	Alexander Steen		X			100.00	67	37	88	68	77	81	78	67	54	71	65	85	66	85	75	42	77	74	0
7	Nick Bonino	X				100.00	54	37	88	69	77	81	94	68	81	69	70	85	66	79	72	38	77	74	0
8	Mark Giordano				X	100.00	64	49	68	76	77	91	92	74	30	90	77	95	60	86	93	25	79	83	0
9	Brian Dumoulin				X	100.00	84	37	87	64	88	87	89	64	30	75	57	91	50	75	68	59	77	78	0
10	Jaccob Slavin				X	100.00	66	37	88	69	85	87	95	68	30	76	66	88	57	69	66	56	77	77	0
11	Darnell Nurse				X	100.00	85	61	64	70	91	92	94	68	30	79	69	77	56	67	65	85	77	76	0
12	Ian Cole				X	100.00	82	68	56	63	81	85	84	62	30	71	56	89	54	78	70	66	77	76	0
13	Thomas Chabot				X	100.00	73	39	81	78	80	91	83	77	30	86	76	68	61	63	64	83	78	75	0
Rayé
1	Sebastian Aho	X				100.00	65	38	85	78	70	86	95	77	80	85	79	81	76	63	69	74	77	83	0
2	Elias Pettersson	X				100.00	59	36	90	82	76	84	83	80	75	81	82	63	84	61	66	88	53	81	0
3	Joe Thornton	X				100.00	53	37	87	68	90	80	86	72	80	79	70	56	72	90	84	32	77	79	0
4	Travis Konecny			X		100.00	65	49	82	78	65	79	95	76	52	73	75	61	77	63	65	81	77	77	0
5	Cody Eakin	X				100.00	76	37	89	72	73	79	88	71	82	70	75	80	74	75	71	53	78	75	0
6	Valentin Zykov		X			100.00	70	40	78	64	78	66	59	63	52	61	62	58	65	67	64	74	19	67	0
7	Marcus Pettersson				X	100.00	78	63	70	63	79	82	95	62	30	75	54	73	49	65	63	75	53	71	0

	MOYENNE D'ÉQUIPE					100.00	68	43	81	73	79	83	88	72	53	76	71	73	68	72	70	66	71	77

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
Rayé
1	David Rittich	100.00	90	91	89	85	89	88	90	89	88	90	89	73	77	42	22	84	0
2	Alex Stalock	100.00	79	75	73	74	78	77	79	78	77	79	78	80	86	37	19	75	0
3	Antti Niemi	100.00	75	72	70	82	74	73	75	74	73	75	74	86	90	24	77	74	0
4	Antti Raanta	100.00	77	72	70	73	76	75	77	76	75	77	76	78	84	39	76	74	0

	MOYENNE D'ÉQUIPE	100.00	80	78	76	79	79	78	80	79	78	80	79	79	84	36	49	77

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bruce Cassidy	82	93	87	79	80	74	69	CAN	53	3	4,000,000$

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
Alex Stalock	Flyers	G	30	1987-07-28	No	198 Lbs	6 ft0	No	No	No	0	Sans Restriction	Pro & Farm		0$	0$	No	Lien
Alexander Steen	Flyers	LW	33	1984-03-01	No	211 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	5,750,000$	5,750,000$	5,750,000$	No	Lien
Antti Niemi	Flyers	G	34	1983-08-29	No	209 Lbs	6 ft2	No	No	No	0	Sans Restriction	Pro & Farm		0$	0$	No	Lien
Antti Raanta	Flyers	G	28	1989-05-12	No	195 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	4,250,000$	4,250,000$	4,250,000$	No	Lien
Brian Dumoulin	Flyers	D	26	1991-09-06	No	207 Lbs	6 ft4	No	No	No	4	Contrat d'Entrée	Pro & Farm	4,100,000$	4,100,000$	4,100,000$	No	Lien
Clayton Keller	Flyers	C	19	1998-07-29	No	170 Lbs	5 ft10	No	No	No	1	Contrat d'Entrée	Pro & Farm	885,833$	885,833$	885,833$	No	Lien
Cody Eakin	Flyers	C	26	1991-05-24	No	190 Lbs	6 ft0	No	No	No	0	Contrat d'Entrée	Pro & Farm		0$	0$	No	Lien
Darnell Nurse	Flyers	D	22	1995-02-04	No	221 Lbs	6 ft4	No	No	No	1	Contrat d'Entrée	Pro & Farm	3,200,000$	3,200,000$	3,200,000$	No	Lien
David Rittich	Flyers	G	25	1992-08-19	No	206 Lbs	6 ft3	No	No	No	0	Contrat d'Entrée	Pro & Farm		0$	0$	No	Lien
Elias Pettersson	Flyers	C	18	1998-11-12	No	176 Lbs	6 ft2	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	750,000$	750,000$	No	Lien
Ian Cole	Flyers	D	28	1989-02-21	No	219 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	4,250,000$	4,250,000$	4,250,000$	No	Lien
Jaccob Slavin	Flyers	D	23	1994-05-01	No	207 Lbs	6 ft3	No	No	No	6	Contrat d'Entrée	Pro & Farm	5,300,000$	5,300,000$	5,300,000$	No	Lien
Jake DeBrusk	Flyers	LW	20	1996-10-17	No	188 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	863,333$	863,333$	863,333$	No	Lien
Jakub Voracek	Flyers	RW	28	1989-08-15	No	214 Lbs	6 ft2	No	No	No	5	Sans Restriction	Pro & Farm	8,250,000$	8,250,000$	8,250,000$	No	Lien
James van Riemsdyk	Flyers	LW	28	1989-05-04	No	217 Lbs	6 ft3	No	No	No	4	Sans Restriction	Pro & Farm	7,000,000$	7,000,000$	7,000,000$	No	Lien
Joe Thornton	Flyers	C	38	1979-07-02	No	220 Lbs	6 ft4	No	No	No	0	Sans Restriction	Pro & Farm		0$	0$	No	Lien
Marcus Pettersson	Flyers	D	21	1996-05-08	No	177 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	750,000$	750,000$	No	Lien
Mark Giordano	Flyers	D	33	1983-10-03	No	200 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro & Farm	6,750,000$	6,750,000$	6,750,000$	No	Lien
Mika Zibanejad	Flyers	C	24	1993-04-18	No	213 Lbs	6 ft2	No	No	No	3	Contrat d'Entrée	Pro & Farm	5,350,000$	5,350,000$	5,350,000$	No	Lien
Nick Bonino	Flyers	C	29	1988-04-20	No	196 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	4,100,000$	4,100,000$	4,100,000$	No	Lien
Sebastian Aho	Flyers	C	20	1997-07-26	No	176 Lbs	6 ft0	No	No	No	0	Contrat d'Entrée	Pro & Farm		0$	0$	No	Lien
Thomas Chabot	Flyers	D	20	1997-01-30	No	196 Lbs	6 ft2	No	No	No	1	Contrat d'Entrée	Pro & Farm	863,333$	863,333$	863,333$	No	Lien
Travis Konecny	Flyers	RW	20	1997-03-11	No	175 Lbs	5 ft10	No	No	No	0	Contrat d'Entrée	Pro & Farm		0$	0$	No	Lien
Valentin Zykov	Flyers	LW	22	1995-05-15	No	220 Lbs	6 ft0	No	No	No	0	Contrat d'Entrée	Pro & Farm		0$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	25.63	200 Lbs	6 ft1	1.58	2,600,521$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
62,412,499$	51,000,000$	36,750,000$	24,650,000$	13,550,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1		Mika Zibanejad	Jakub Voracek	40	0	2	3
2	James van Riemsdyk		Clayton Keller	30	0	2	3
3			Alexander Steen	20	1	2	2
4	Nick Bonino			10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jaccob Slavin	Darnell Nurse	40	0	2	3
2	Brian Dumoulin	Thomas Chabot	30	1	2	2
3	Ian Cole		20	1	2	2
4	Jaccob Slavin	Brian Dumoulin	10	1	1	3

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1		Mika Zibanejad	Jakub Voracek	60	0	0	5
2	James van Riemsdyk		Clayton Keller	40	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Thomas Chabot		60	0	0	5
2	Darnell Nurse	Jaccob Slavin	40	0	0	5

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Nick Bonino	60	1	4	0
2	Alexander Steen		40	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jaccob Slavin	Brian Dumoulin	60	1	4	0
2	Darnell Nurse	Ian Cole	40	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2	Jaccob Slavin	Brian Dumoulin	60	1	4	0
2	Nick Bonino	40	1	2	2	Darnell Nurse	Ian Cole	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Jakub Voracek	60	1	0	4
2	Mika Zibanejad	Clayton Keller	40	1	0	4

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jaccob Slavin	Thomas Chabot	60	1	1	3
2	Darnell Nurse	Brian Dumoulin	40	1	1	3

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
	Mika Zibanejad	Jakub Voracek	Jaccob Slavin	Brian Dumoulin

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nick Bonino		Alexander Steen	Jaccob Slavin	Brian Dumoulin

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Mika Zibanejad, James van Riemsdyk,	Mika Zibanejad, James van Riemsdyk	Alexander Steen

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ian Cole, Thomas Chabot, Darnell Nurse	Ian Cole	Thomas Chabot, Darnell Nurse

Tirs de Pénalité
James van Riemsdyk, , Mika Zibanejad, Clayton Keller,

Gardien
#1 : , #2 :

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	160	100	75	50	300
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$	62,412,499$	61,843,749$	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$	16	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$	-4,931,808$	-4,931,808$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

James van Riemsdyk	AGE:28	PO:73	OV:79
Jake DeBrusk	AGE:20	PO:83	OV:77
Alexander Steen	AGE:33	PO:42	OV:74
Valentin Zykov	AGE:22	PO:74	OV:67

Mika Zibanejad	AGE:24	PO:84	OV:84
Sebastian Aho	AGE:20	PO:74	OV:83
Elias Pettersson	AGE:18	PO:88	OV:81
Joe Thornton	AGE:38	PO:32	OV:79
Clayton Keller	AGE:19	PO:87	OV:75
Cody Eakin	AGE:26	PO:53	OV:75
Nick Bonino	AGE:29	PO:38	OV:74
Jordan Weal	AGE:25	PO:56	OV:69

Jakub Voracek	AGE:28	PO:69	OV:80
Travis Konecny	AGE:20	PO:81	OV:77

Défense #1

Défense #2

Gardien

Mark Giordano	AGE:33	PO:25	OV:83
Brian Dumoulin	AGE:26	PO:59	OV:78
Jaccob Slavin	AGE:23	PO:56	OV:77
Darnell Nurse	AGE:22	PO:85	OV:76
Ian Cole	AGE:28	PO:66	OV:76

Thomas Chabot	AGE:20	PO:83	OV:75
Troy Stecher	AGE:23	PO:42	OV:73
Marcus Pettersson	AGE:21	PO:75	OV:71
Philippe Myers	AGE:20	PO:54	OV:67
Jordan Schmaltz	AGE:23	PO:77	OV:64

David Rittich	AGE:25	PO:42	OV:84
Alex Stalock	AGE:30	PO:37	OV:75
Antti Raanta	AGE:28	PO:39	OV:74
Antti Niemi	AGE:34	PO:24	OV:74

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 Ruzicka	Flyers	2018	109
Andrew Poturalski	Flyers	3	75
Arthur Kaliyev	Flyers	3	17
Benoit-Olivier Groulx	Flyers	2018	37
Brayden Tracey	Flyers	3	35
Carter Verhaeghe	Flyers	3	65
Filip Johansson	Flyers	2018	47
Glen Gawdin	Flyers
Hudson Elynuik	Flyers	2018	107
Ilya Samsonov	Flyers	2015	22
Jack Studnicka	Flyers	2018	61
Joe Veleno	Flyers	2018	18
Kaapo Kakko	Flyers	3	2
Maksim Sushko	Flyers	2018	95
Maksim Zhukov	Flyers	2018	83
Morgan Frost	Flyers	2017	27
Pyotr Kochetkov	Flyers	3	41
Quinn Hughues	Flyers	2018	10
Ryan Merkley	Flyers	2018	35
Tobias Bjornfot	Flyers	3	40
Tye Smith	Flyers	2018	15
Tyler Benson	Flyers	2018	71
Vitaly Abramov	Flyers	2016	65

Choix au Repêchage

Année	R1	R2	R3	R4	R5
3				PHI
4	PHI VGS TB.	PHI FLA DAL	PHI	PHI	PHI
5	PHI	PHI VGS	PHI	PHI	PHI
6	PHI	PHI	PHI	PHI	PHI
7	PHI	PHI	PHI	PHI	PHI

[2019-07-12 23:12:27] - Flyers drafts Andrew Poturalski as the #75 overall pick in the Entry Draft of year 3.
[2019-07-12 23:07:08] - Flyers drafts Carter Verhaeghe as the #65 overall pick in the Entry Draft of year 3.
[2019-07-11 23:05:54] - TRADE : From Ducks to Flyers : Mark Giordano (83).
[2019-07-11 23:05:54] - TRADE : From Flyers to Ducks : Marcus Foligno (69), Nolan Patrick (73), Y:3-RND:4-ANA, Y:3-RND:5-ANA, Y:3-RND:5-DAL, Y:3-RND:5-PHI.
[2019-07-03 23:49:49] - Marcus Pettersson has been deleted from Flyers.
[2019-07-03 23:48:01] - Marcus Pettersson was added to Flyers.
[2019-07-03 23:44:45] - Flyers drafts Marcus Pettersson as the #59 overall pick in the Entry Draft of year 3.
[2019-07-03 23:37:27] - Flyers drafts Pyotr Kochetkov as the #41 overall pick in the Entry Draft of year 3.
[2019-07-03 23:37:03] - Flyers drafts Tobias Bjornfot as the #40 overall pick in the Entry Draft of year 3.
[2019-07-03 23:35:29] - Flyers drafts Brayden Tracey as the #35 overall pick in the Entry Draft of year 3.
[2019-07-01 16:04:00] - Flyers drafts Arthur Kaliyev as the #17 overall pick in the Entry Draft of year 3.
[2019-07-01 14:07:24] - Flyers drafts Kaapo Kakko as the #2 overall pick in the Entry Draft of year 3.
[2019-06-19 20:40:48] - TRADE : From Golden Knights to Flyers : Y:4-RND:1-VGS, Y:4-RND:2-DAL, Y:5-RND:2-VGS.
[2019-06-19 20:40:48] - TRADE : From Flyers to Golden Knights : Kevin Hayes (82).
[2019-05-29 12:11:53] - TRADE : From Flyers to Oilers : Sami Vatanen (72), Y:4-RND:1-EDM.
[2019-05-29 12:11:53] - TRADE : From Oilers to Flyers : David Rittich (84), Jake DeBrusk (78).
[2019-05-28 21:55:51] - Elias Pettersson was added to Flyers.
[2019-05-28 21:55:25] - Elias Petersson has been deleted from Flyers.
[2019-05-27 12:41:50] - TRADE : From Flyers to Lightning : Esa Lindell (72).
[2019-05-27 12:41:50] - TRADE : From Lightning to Flyers : Y:4-RND:1-TB..
[2019-05-03 21:54:48] - Phantoms was eliminated at round 2 of year 2.
[2019-05-03 21:54:48] - Flyers was eliminated at round 2 of year 2.
[2019-02-12 10:43:27] - TRADE : From Sharks to Flyers : Jakub Voracek (86).
[2019-02-12 10:43:27] - TRADE : From Flyers to Sharks : Kyle Okposo (77), Antoine Morand (P), Cayden Primeau (P), Y:3-RND:1-ANA, Y:3-RND:3-DAL.
[2018-11-21 21:48:09] - New Record for Team's Most Points (24) in 1 Game for Flyers!
[2018-11-21 21:48:09] - New Record for Team's Most Assists (16) in 1 Game for Flyers!
[2018-11-21 21:48:09] - New Record for Team's Most Points (24) in 1 Game for Flyers!
[2018-11-21 21:48:09] - New Record for Team's Most Assists (16) in 1 Game for Flyers!
[2018-11-16 22:19:02] - New Record for Team's Most Hits (31) in 1 Game for Flyers!
[2018-10-28 00:36:55] - New Record for Team's Most Points (23) in 1 Game for Flyers!
[2018-10-28 00:36:55] - New Record for Team's Most Assists (15) in 1 Game for Flyers!
[2018-10-28 00:36:55] - New Record for Team's Most Goals (8) in 1 Game for Flyers!
[2018-10-16 22:00:19] - TRADE : From Penguins to Flyers : James van Riemsdyk (78), Alex Stalock (77).
[2018-10-16 22:00:19] - TRADE : From Flyers to Penguins : Brandon Saad (71), Michal Neuvirth (78), Y:3-RND:2-DAL.
[2018-10-03 20:42:40] - Cody Eakin was added to Flyers.
[2018-10-03 20:42:22] - Antti Niemi was added to Flyers.
[2018-10-01 23:41:34] - Nick Bonino was added to Flyers.
[2018-10-01 23:41:26] - Joe Thornton was added to Flyers.
[2018-09-24 22:25:17] - TRADE : From Stars to Flyers : Clayton Keller (79).
[2018-09-24 22:25:17] - TRADE : From Flyers to Stars : Cale Makar (P), Jake Bean (P).
[2018-09-23 19:32:02] - TRADE : From Flyers to Penguins : John Carlson (80).
[2018-09-23 19:32:02] - TRADE : From Penguins to Flyers : Darnell Nurse (75), Y:4-RND:1-EDM, Y:3-RND:2-NHS.

[2019-07-12 23:12:27] Flyers drafts Andrew Poturalski as the #75 overall pick in the Entry Draft of year 3.
[2019-07-12 23:07:08] Flyers drafts Carter Verhaeghe as the #65 overall pick in the Entry Draft of year 3.
[2019-07-11 23:05:54] TRADE : From Ducks to Flyers : Mark Giordano (83).
[2019-07-11 23:05:54] TRADE : From Flyers to Ducks : Marcus Foligno (69), Nolan Patrick (73), Y:3-RND:4-ANA, Y:3-RND:5-ANA, Y:3-RND:5-DAL, Y:3-RND:5-PHI.
[2019-07-03 23:49:49] Marcus Pettersson has been deleted from Flyers.
[2019-07-03 23:48:01] Marcus Pettersson was added to Flyers.
[2019-07-03 23:44:45] Flyers drafts Marcus Pettersson as the #59 overall pick in the Entry Draft of year 3.
[2019-07-03 23:37:27] Flyers drafts Pyotr Kochetkov as the #41 overall pick in the Entry Draft of year 3.
[2019-07-03 23:37:03] Flyers drafts Tobias Bjornfot as the #40 overall pick in the Entry Draft of year 3.
[2019-07-03 23:35:29] Flyers drafts Brayden Tracey as the #35 overall pick in the Entry Draft of year 3.
[2019-07-01 16:04:00] Flyers drafts Arthur Kaliyev as the #17 overall pick in the Entry Draft of year 3.
[2019-07-01 14:07:24] Flyers drafts Kaapo Kakko as the #2 overall pick in the Entry Draft of year 3.
[2019-06-21 21:36:44] Flyers roster errors : Not enough Left Wings available in Pro Team! 3 Dressed. 4 Required. Not enough Right Wings available in Pro Team! 1 Dressed. 4 Required. Not enough Forward available in Pro Team! 8 Dressed. 9 Required. Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Goalie available in Pro Team! 0 Dressed. 2 Required. Not enough Players available in Pro Team! 13 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-06-19 20:40:48] TRADE : From Golden Knights to Flyers : Y:4-RND:1-VGS, Y:4-RND:2-DAL, Y:5-RND:2-VGS.
[2019-06-19 20:40:48] TRADE : From Flyers to Golden Knights : Kevin Hayes (82).
[2019-05-29 12:11:53] TRADE : From Flyers to Oilers : Sami Vatanen (72), Y:4-RND:1-EDM.
[2019-05-29 12:11:53] TRADE : From Oilers to Flyers : David Rittich (84), Jake DeBrusk (78).
[2019-05-28 21:55:51] Elias Pettersson was added to Flyers.
[2019-05-28 21:55:25] Elias Petersson has been deleted from Flyers.
[2019-05-27 12:41:50] TRADE : From Flyers to Lightning : Esa Lindell (72).
[2019-05-27 12:41:50] TRADE : From Lightning to Flyers : Y:4-RND:1-TB..
[2019-05-26 21:42:10] Current fund for Flyers is under 0 $.
[2019-05-25 22:24:30] Current fund for Flyers is under 0 $.
[2019-05-24 22:08:06] Current fund for Flyers is under 0 $.
[2019-05-23 21:54:47] Current fund for Flyers is under 0 $.
[2019-05-22 21:09:38] Current fund for Flyers is under 0 $.
[2019-05-20 21:43:22] Current fund for Flyers is under 0 $.
[2019-05-19 23:04:37] Current fund for Flyers is under 0 $.
[2019-05-18 23:31:58] Current fund for Flyers 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	12	5	7	0	0	0	0	0	34	37	-3	6	3	3	0	0	0	0	0	19	17	2	6	2	4	0	0	0	0	0	15	20	-5	10	34	60	94	0	0	13	9	12	0	440	124	167	149	0	432	128	84	227	51	7	13.73%	43	12	72.09%	1	155	330	46.97%	166	338	49.11%	73	165	44.24%	259	153	261	105	199	99
Total Séries	12	5	7	0	0	0	0	0	34	37	-3	6	3	3	0	0	0	0	0	19	17	2	6	2	4	0	0	0	0	0	15	20	-5	10	34	60	94	0	0	13	9	12	0	440	124	167	149	0	432	128	84	227	51	7	13.73%	43	12	72.09%	1	155	330	46.97%	166	338	49.11%	73	165	44.24%	259	153	261	105	199	99