Stanley Cup Winners Hockey League - LEHIGH VALLEY Phantoms

PHILADELPHIA Flyers
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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	Kyle Brodziak	0	X				100.00	71	41	70	64	81	78	83	63	84	62	64	72	64	87	61	25	47	71	0
2	Sven Baertschi	0		X			100.00	63	35	81	72	70	83	63	71	56	66	73	60	72	61	53	72	77	68	0
3	Teddy Blueger	0	X				100.00	77	44	75	69	71	77	64	68	71	65	67	69	68	51	50	69	83	67	0
4	Brian Gibbons	0	X	X			100.00	62	35	73	67	63	76	77	66	61	67	65	66	66	58	52	34	83	66	0
5	Sven Andrighetto	0			X		100.00	60	35	75	67	68	77	77	66	57	66	64	61	65	59	53	60	83	66	0
6	Frederick Gaudreau	0	X				100.00	60	35	73	63	70	73	68	62	78	61	62	60	62	53	51	42	81	63	0
7	Logan Shaw	0			X		100.00	59	89	63	70	85	50	50	70	70	66	66	50	66	57	52	56	83	62	0
8	Nikita Soshnikov	0		X			100.00	53	35	73	61	69	56	52	61	50	58	58	53	59	53	51	42	83	58	0
9	Manuel Wiederer	0			X		100.00	50	89	69	65	72	50	50	65	50	59	59	53	59	50	50	44	63	58	0
10	Ryan Fitzgerald	0	X				100.00	50	89	67	70	64	50	50	70	50	56	56	50	56	50	50	42	83	57	0
11	Mark Borowiecki	0				X	100.00	99	68	62	62	79	77	66	62	30	59	57	76	65	63	54	45	79	67	0
12	Christian Jaros	0				X	100.00	76	41	72	64	84	75	75	64	30	62	57	71	66	53	51	56	81	67	0
13	Noah Juulsen	0				X	100.00	85	35	80	64	79	75	60	63	30	60	56	75	65	52	51	80	76	65	0
14	Jan Rutta	0				X	100.00	61	35	75	65	83	66	68	65	30	57	54	64	64	54	51	36	83	63	0
15	Jacob Middleton	0				X	100.00	59	35	59	64	85	51	51	64	31	49	44	56	54	50	50	49	83	56	0
16	Kale Clague (R)	0				X	100.00	50	89	65	70	70	50	50	70	30	51	46	50	56	50	50	44	83	56	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	65	52	71	66	75	67	63	66	51	60	59	62	63	56	52	50	78	63

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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	Chris Driedger	100.00	77	65	93	87	76	75	77	76	75	76	71	50	64	63	80	67	0
2	Evan Cowley (R)	100.00	65	60	68	84	65	66	65	66	66	66	62	50	58	44	81	59	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	71	63	81	86	71	71	71	71	71	71	67	50	61	54	81	63

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Todd McLellan	85	78	79	78	88	88	68	CAN	52	3	848,000$

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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	PKS	PKM	GW	GT	FO%	FOT	P/20	FT	S1	S2	S3
1	Jan Rutta	LEHIGH VALLEY Phantoms (PHI)	D	10	2	8	10	0	8	0	10	7	12	4	7	16.67%	5	225	22.55	2	3	5	9	39	0	35	0	1	0.00%	0	0.89	0	1	0	2
2	Brian Gibbons	LEHIGH VALLEY Phantoms (PHI)	C/LW	10	5	3	8	-1	8	0	15	18	31	5	28	16.13%	3	227	22.78	2	3	5	9	38	2	33	0	0	39.69%	131	0.70	0	1	0	0
3	Teddy Blueger	LEHIGH VALLEY Phantoms (PHI)	C	10	3	4	7	-2	10	0	19	32	42	14	32	7.14%	5	242	24.21	0	3	3	4	37	0	33	1	0	52.76%	199	0.58	0	0	1	0
4	Logan Shaw	LEHIGH VALLEY Phantoms (PHI)	RW	10	1	5	6	-2	8	0	13	11	20	6	17	5.00%	0	184	18.40	0	3	3	3	37	0	0	0	0	50.00%	14	0.65	0	0	0	0
5	Sven Baertschi	LEHIGH VALLEY Phantoms (PHI)	LW	9	1	3	4	1	4	0	11	15	42	11	38	2.38%	1	249	27.74	0	1	1	14	35	1	40	1	0	50.67%	75	0.32	0	0	0	1
6	Christian Jaros	LEHIGH VALLEY Phantoms (PHI)	D	10	1	3	4	-1	12	0	27	8	10	6	10	10.00%	18	258	25.84	1	1	2	6	41	0	37	1	0	0.00%	0	0.31	0	0	1	0
7	Frederick Gaudreau	LEHIGH VALLEY Phantoms (PHI)	C	10	0	3	3	0	2	0	10	18	15	3	14	0.00%	1	152	15.23	0	1	1	1	9	0	5	0	0	48.23%	141	0.39	0	0	0	0
8	Noah Juulsen	LEHIGH VALLEY Phantoms (PHI)	D	3	2	1	3	-3	6	0	7	2	6	1	0	33.33%	8	75	25.03	2	0	2	4	20	0	10	1	0	0.00%	0	0.80	0	0	0	1
9	Nikita Soshnikov	LEHIGH VALLEY Phantoms (PHI)	LW	10	1	1	2	1	2	0	6	2	12	2	15	8.33%	1	171	17.19	1	0	1	2	17	0	4	0	0	14.29%	7	0.23	0	0	0	1
10	Kyle Brodziak	LEHIGH VALLEY Phantoms (PHI)	C	3	2	0	2	0	4	0	12	16	8	3	11	25.00%	0	75	25.04	2	0	2	4	23	1	10	0	0	64.29%	98	0.53	0	0	0	1
11	Sven Andrighetto	LEHIGH VALLEY Phantoms (PHI)	RW	10	1	1	2	0	2	0	8	15	20	3	15	5.00%	2	186	18.70	0	1	1	3	39	1	22	0	0	53.49%	43	0.21	0	0	0	0
12	Jacob Middleton	LEHIGH VALLEY Phantoms (PHI)	D	10	0	2	2	-1	10	0	22	4	1	0	2	0.00%	15	165	16.53	0	1	1	1	9	0	12	0	0	0.00%	0	0.24	0	0	0	0
13	Manuel Wiederer	LEHIGH VALLEY Phantoms (PHI)	RW	10	2	0	2	0	2	0	7	8	6	3	7	33.33%	0	134	13.40	0	0	0	0	2	0	0	1	0	33.33%	9	0.30	0	0	1	0
14	Kale Clague	LEHIGH VALLEY Phantoms (PHI)	D	10	0	2	2	3	4	0	7	8	2	4	7	0.00%	10	180	18.08	0	1	1	1	16	0	26	0	0	0.00%	0	0.22	0	0	0	0
15	Alexandre Carrier	PHILADELPHIA Flyers	D	7	0	1	1	1	0	0	3	2	3	0	2	0.00%	2	80	11.43	0	0	0	1	0	0	5	0	0	0.00%	0	0.25	0	0	0	0
16	Mark Borowiecki	LEHIGH VALLEY Phantoms (PHI)	D	7	0	1	1	-3	4	0	22	6	11	5	8	0.00%	4	167	23.95	0	1	1	9	32	0	31	0	0	0.00%	0	0.12	0	0	0	0
17	Ryan Fitzgerald	LEHIGH VALLEY Phantoms (PHI)	C	10	0	1	1	-2	7	5	5	13	6	2	12	0.00%	0	113	11.33	0	0	0	0	0	0	12	0	0	37.72%	114	0.18	1	0	0	0
18	Brett Lernout	PHILADELPHIA Flyers	D	7	0	0	0	0	8	0	6	2	0	1	0	0.00%	8	111	15.90	0	0	0	0	0	0	9	0	0	0.00%	0	0.00	0	0	0	0
19	Nick Moutrey	PHILADELPHIA Flyers	RW	7	0	0	0	-1	8	0	4	1	6	1	4	0.00%	1	76	10.88	0	0	0	0	0	0	1	0	0	40.00%	5	0.00	0	0	0	0
Stats d'équipe Total ou en Moyenne				163	21	39	60	-10	109	5	214	188	253	74	229	8.30%	84	3077	18.88	10	19	29	71	404	5	333	5	1	48.44%	836	0.39	1	2	3	6

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Chris Driedger	LEHIGH VALLEY Phantoms (PHI)	10	5	5	0	0.929	1.99	634	4	1	21	295	0	0	1	0.000	0	10	0	3	1	0
Stats d'équipe Total ou en Moyenne			10	5	5	0	0.929	1.99	634	4	1	21	295	0	0	1	0.000	0	10	0	3	1	0

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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	Link
Brian Gibbons	LEHIGH VALLEY Phantoms (PHI)	C/LW	31	1988-02-26	No	80 Kg	173 CM	No	No	No	5	Sans Restriction	Pro & Farm	1,000,000$	0$	0$	No	Lien
Chris Driedger	LEHIGH VALLEY Phantoms (PHI)	G	25	1994-05-18	No	93 Kg	193 CM	No	No	No	6	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Christian Jaros	LEHIGH VALLEY Phantoms (PHI)	D	23	1996-04-02	No	91 Kg	191 CM	No	No	No	2	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Evan Cowley	LEHIGH VALLEY Phantoms (PHI)	G	24	1995-07-31	Yes	91 Kg	193 CM	No	No	No	4	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Frederick Gaudreau	LEHIGH VALLEY Phantoms (PHI)	C	26	1993-05-01	No	81 Kg	183 CM	No	No	No	2	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Jacob Middleton	LEHIGH VALLEY Phantoms (PHI)	D	23	1996-01-02	No	95 Kg	191 CM	No	No	No	5	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Jan Rutta	LEHIGH VALLEY Phantoms (PHI)	D	29	1990-07-27 14:16:19	No	91 Kg	191 CM	No	No	No	1	Sans Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Kale Clague	LEHIGH VALLEY Phantoms (PHI)	D	21	1998-06-05	Yes	80 Kg	183 CM	No	No	No	3	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Kyle Brodziak	LEHIGH VALLEY Phantoms (PHI)	C	35	1984-05-25	No	93 Kg	188 CM	No	No	No	1	Sans Restriction	Pro & Farm	1,750,000$	0$	0$	No	Lien
Logan Shaw	LEHIGH VALLEY Phantoms (PHI)	RW	26	1992-10-05	No	95 Kg	191 CM	No	No	No	5	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Manuel Wiederer	LEHIGH VALLEY Phantoms (PHI)	RW	22	1996-11-21	No	80 Kg	185 CM	No	No	No	2	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Mark Borowiecki	LEHIGH VALLEY Phantoms (PHI)	D	30	1989-07-12	No	94 Kg	185 CM	No	No	No	6	Sans Restriction	Pro & Farm	1,200,000$	0$	0$	No	Lien
Nikita Soshnikov	LEHIGH VALLEY Phantoms (PHI)	LW	25	1993-10-14	No	84 Kg	180 CM	No	No	No	4	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Noah Juulsen	LEHIGH VALLEY Phantoms (PHI)	D	22	1997-04-02	No	88 Kg	188 CM	No	No	No	2	Avec Restriction	Pro & Farm	850,000$	0$	0$	No	Lien
Ryan Fitzgerald	LEHIGH VALLEY Phantoms (PHI)	C	24	1994-10-19	No	78 Kg	175 CM	No	No	No	2	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Sven Andrighetto	LEHIGH VALLEY Phantoms (PHI)	RW	26	1993-03-21	No	85 Kg	178 CM	No	No	No	2	Avec Restriction	Pro & Farm	1,400,000$	0$	0$	No	Lien
Sven Baertschi	LEHIGH VALLEY Phantoms (PHI)	LW	26	1992-10-05	No	86 Kg	180 CM	No	No	No	1	Avec Restriction	Pro & Farm	1,500,000$	0$	0$	No	Lien
Teddy Blueger	LEHIGH VALLEY Phantoms (PHI)	C	25	1994-08-15	No	84 Kg	183 CM	No	No	No	6	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
18	25.72	87 Kg	185 CM	3.28	927,778$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Sven Baertschi	Kyle Brodziak	Sven Andrighetto	31	1	2	2
2	Brian Gibbons	Teddy Blueger	Logan Shaw	26	1	2	2
3	Nikita Soshnikov	Frederick Gaudreau	Manuel Wiederer	23	1	2	2
4	Sven Baertschi	Ryan Fitzgerald	Sven Andrighetto	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Borowiecki	Christian Jaros	31	1	2	2
2	Noah Juulsen	Jan Rutta	26	1	2	2
3	Jacob Middleton	Kale Clague	23	1	2	2
4	Mark Borowiecki	Christian Jaros	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Sven Baertschi	Kyle Brodziak	Sven Andrighetto	55	1	2	2
2	Brian Gibbons	Teddy Blueger	Logan Shaw	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Borowiecki	Christian Jaros	55	1	2	2
2	Noah Juulsen	Jan Rutta	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Kyle Brodziak	Sven Baertschi	55	1	2	2
2	Teddy Blueger	Brian Gibbons	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Borowiecki	Christian Jaros	55	1	2	2
2	Noah Juulsen	Jan Rutta	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Kyle Brodziak	55	1	2	2	Mark Borowiecki	Christian Jaros	55	1	2	2
2	Teddy Blueger	45	1	2	2	Noah Juulsen	Jan Rutta	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Kyle Brodziak	Sven Baertschi	55	1	2	2
2	Teddy Blueger	Brian Gibbons	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Borowiecki	Christian Jaros	55	1	2	2
2	Noah Juulsen	Jan Rutta	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Sven Baertschi	Kyle Brodziak	Sven Andrighetto	Mark Borowiecki	Christian Jaros

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Sven Baertschi	Kyle Brodziak	Sven Andrighetto	Mark Borowiecki	Christian Jaros

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brian Gibbons, Frederick Gaudreau, Logan Shaw	Brian Gibbons, Frederick Gaudreau	Brian Gibbons

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jan Rutta, Jacob Middleton, Kale Clague	Jan Rutta	Jan Rutta, Jacob Middleton

Tirs de Pénalité
Kyle Brodziak, Sven Baertschi, Teddy Blueger, Sven Andrighetto, Brian Gibbons

Gardien
#1 : Chris Driedger, #2 : Evan Cowley

Lignes d'Attaque Perso. en Prol.
Kyle Brodziak, Sven Baertschi, Teddy Blueger, Sven Andrighetto, Brian Gibbons, Frederick Gaudreau, Frederick Gaudreau, Logan Shaw, Manuel Wiederer, Nikita Soshnikov, Ryan Fitzgerald

Lignes de Défense Perso. en Prol.
Mark Borowiecki, Christian Jaros, Noah Juulsen, Jan Rutta, Jacob Middleton

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	PV Sharapovas	3	1	2	0	0	0	0	0	7	8	-1	1	0	1	0	0	0	0	0	1	2	-1	2	1	1	0	0	0	0	0	6	6	0	2	0.333	7	14	21	0	0	13	5	2	1	83	89	71	81	12	92	30	32	71	25	6	24.00%	14	3	78.57%	0	157	328	47.87%	178	358	49.72%	70	150	46.67%	258	176	244	79	132	66
	Total	10	5	5	0	0	0	0	0	21	22	-1	4	2	2	0	0	0	0	0	8	9	-1	6	3	3	0	0	0	0	0	13	13	0	10	0.500	21	39	60	1	1	13	5	2	1	253	89	71	81	12	296	84	113	214	45	10	22.22%	51	9	82.35%	0	157	328	47.87%	178	358	49.72%	70	150	46.67%	258	176	244	79	132	66
3	VICTORIAVILLE Tigres	7	4	3	0	0	0	0	0	14	14	0	3	2	1	0	0	0	0	0	7	7	0	4	2	2	0	0	0	0	0	7	7	0	8	0.571	14	25	39	1	1	13	5	2	1	170	89	71	81	12	204	54	81	143	20	4	20.00%	37	6	83.78%	0	157	328	47.87%	178	358	49.72%	70	150	46.67%	258	176	244	79	132	66
	_Since Last GM Reset	10	5	5	0	0	0	0	0	21	22	-1	4	2	2	0	0	0	0	0	8	9	-1	6	3	3	0	0	0	0	0	13	13	0	10	0.500	21	39	60	1	1	13	5	2	1	253	89	71	81	12	296	84	113	214	45	10	22.22%	51	9	82.35%	0	157	328	47.87%	178	358	49.72%	70	150	46.67%	258	176	244	79	132	66
	_Vs Conference	10	5	5	0	0	0	0	0	21	22	-1	4	2	2	0	0	0	0	0	8	9	-1	6	3	3	0	0	0	0	0	13	13	0	10	0.500	21	39	60	1	1	13	5	2	1	253	89	71	81	12	296	84	113	214	45	10	22.22%	51	9	82.35%	0	157	328	47.87%	178	358	49.72%	70	150	46.67%	258	176	244	79	132	66
	_Vs Division	3	4	3	0	0	0	0	0	7	8	-1	1	2	1	0	0	0	0	0	1	2	-1	2	2	2	0	0	0	0	0	6	6	0	8	1.333	7	14	21	0	0	13	5	2	1	83	89	71	81	12	92	30	32	71	25	6	24.00%	14	3	78.57%	0	157	328	47.87%	178	358	49.72%	70	150	46.67%	258	176	244	79	132	66

			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
10	10	L2	21	39	60	253	296	84	113	214	1	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	5	5	0	0	0	0	21	22

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	8	9

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	3	3	0	0	0	0	13	13

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	5	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
45	10	22.22%	51	9	82.35%	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
89	71	81	12	13	5	2	1

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
157	328	47.87%	178	358	49.72%	70	150	46.67%

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
258	176	244	79	132	66

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	Lien
1 - 2019-11-27	2	LEHIGH VALLEY Phantoms	1	VICTORIAVILLE Tigres	4	L		Sommaire du Match
3 - 2019-11-29	10	LEHIGH VALLEY Phantoms	3	VICTORIAVILLE Tigres	1	W		Sommaire du Match
5 - 2019-12-01	18	VICTORIAVILLE Tigres	1	LEHIGH VALLEY Phantoms	2	W		Sommaire du Match
7 - 2019-12-03	26	VICTORIAVILLE Tigres	6	LEHIGH VALLEY Phantoms	4	L		Sommaire du Match
9 - 2019-12-05	34	LEHIGH VALLEY Phantoms	0	VICTORIAVILLE Tigres	1	L		Sommaire du Match
11 - 2019-12-07	42	VICTORIAVILLE Tigres	0	LEHIGH VALLEY Phantoms	1	W		Sommaire du Match
13 - 2019-12-09	50	LEHIGH VALLEY Phantoms	3	VICTORIAVILLE Tigres	1	W		Sommaire du Match
15 - 2019-12-11	57	LEHIGH VALLEY Phantoms	3	PV Sharapovas	2	W	X	Sommaire du Match
17 - 2019-12-13	61	LEHIGH VALLEY Phantoms	3	PV Sharapovas	4	L		Sommaire du Match
19 - 2019-12-15	65	PV Sharapovas	2	LEHIGH VALLEY Phantoms	1	L		Sommaire du Match
21 - 2019-12-17	69	PV Sharapovas	-	LEHIGH VALLEY Phantoms	-
23 - 2019-12-19	73	LEHIGH VALLEY Phantoms	-	PV Sharapovas	-
25 - 2019-12-21	77	PV Sharapovas	-	LEHIGH VALLEY Phantoms	-
27 - 2019-12-23	81	LEHIGH VALLEY Phantoms	-	PV Sharapovas	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	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
35	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	1,670,000$	1,670,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	8	0$	0$

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
32	10	5	5	0	0	0	0	0	21	22	-1	4	2	2	0	0	0	0	0	8	9	-1	6	3	3	0	0	0	0	0	13	13	0	10	21	39	60	1	1	13	5	2	1	253	89	71	81	12	296	84	113	214	45	10	22.22%	51	9	82.35%	0	157	328	47.87%	178	358	49.72%	70	150	46.67%	258	176	244	79	132	66
Total Séries	10	5	5	0	0	0	0	0	21	22	-1	4	2	2	0	0	0	0	0	8	9	-1	6	3	3	0	0	0	0	0	13	13	0	10	21	39	60	1	1	13	5	2	1	253	89	71	81	12	296	84	113	214	45	10	22.22%	51	9	82.35%	0	157	328	47.87%	178	358	49.72%	70	150	46.67%	258	176	244	79	132	66