Stanley Cup Winners Hockey League - BRIDGEPORT Sound Tigers

NEW YORK Islanders
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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	Âge	Contrat	Salaire
1	Joakim Nordstrom	0		X			100.00	81	46	87	66	76	78	81	63	79	61	62	78	63	75	68	53	99	71	0	28	5	900,000$
2	Colton Sceviour	0	X		X		100.00	80	42	87	62	72	78	83	61	76	63	60	82	61	79	71	47	99	71	0	31	2	1,200,000$
3	Logan Brown	0	X	X			100.00	71	49	85	65	96	80	82	63	78	66	62	67	65	63	62	85	99	71	0	22	1	750,000$
4	Dominik Kahun	0	X				100.00	52	38	88	72	67	80	86	71	69	73	67	64	72	69	67	42	98	71	0	25	2	750,000$
5	Tanner Kero	0	X		X		100.00	56	46	88	63	70	86	87	61	74	62	58	63	61	75	68	57	99	68	0	28	5	750,000$
6	Michael Dal Colle	0		X			100.00	75	42	89	63	84	75	77	64	53	61	60	62	65	67	64	86	99	68	0	24	4	850,000$
7	Jason Robertson (R)	0			X		100.00	66	46	90	66	85	79	74	63	56	61	61	64	63	61	62	76	99	68	0	21	3	750,000$
8	Gemel Smith	0	X	X			100.00	59	45	87	63	72	78	77	62	69	60	61	59	63	71	66	59	99	66	0	26	3	750,000$
9	Noah Gregor (R)	0	X				100.00	68	41	88	64	71	73	66	62	70	61	59	63	64	63	62	65	99	65	0	22	3	750,000$
10	Andrej Sekera	0				X	100.00	60	40	87	64	73	83	77	63	30	69	55	78	48	84	74	35	99	70	0	34	4	1,500,000$
11	Korbinian Holzer	0				X	100.00	82	45	80	61	86	84	73	59	30	60	53	78	47	80	72	37	99	70	0	32	4	850,000$
12	Dylan McIlrath	0				X	100.00	75	57	77	60	96	80	72	59	30	57	56	66	53	75	68	71	99	68	0	28	5	750,000$
13	Jake Walman (R)	0				X	100.00	57	43	88	60	71	78	75	59	30	58	57	61	53	67	64	63	99	64	0	24	3	750,000$
Rayé
1	Sven Baertschi	0			X		100.00	58	42	88	63	70	79	72	64	59	65	61	62	64	75	68	71	99	67	0	27	1	2,000,000$
2	Kevin Connauton	0				X	100.00	73	46	85	60	81	86	77	59	30	64	58	70	54	78	68	51	99	70	0	30	6	1,375,000$
3	Joey Keane (R)	0				X	100.00	59	48	85	64	72	89	87	63	30	62	55	56	52	61	64	63	99	67	0	21	3	800,000$
4	Ryan Sproul	0				X	100.00	60	89	69	67	87	50	50	67	30	51	46	50	56	52	51	67	99	57	0	27	1	750,000$

	MOYENNE D'ÉQUIPE					100.00	67	47	85	64	78	79	76	63	53	62	58	66	59	70	66	60	99	68

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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	Stuart Skinner (R)	100.00	74	73	71	88	73	72	74	73	72	74	73	63	67	65	99	67	0
Rayé
1	Dylan Wells	100.00	61	59	57	78	60	59	61	60	59	61	60	63	67	59	99	57	0

	MOYENNE D'ÉQUIPE	100.00	68	66	64	83	67	66	68	67	66	68	67	63	67	62	99	62

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bob Boughner	80	75	78	75	76	76	72	CAN	50	9	500,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	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	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	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
Andrej Sekera	BRIDGEPORT Sound Tigers (ISL)	D	34	6/8/1986	No	89 Kg	183 CM	No	No	No	4	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	1,500,000$	0$	0$	No	1,500,000$	1,500,000$	1,500,000$			Lien
Colton Sceviour	BRIDGEPORT Sound Tigers (ISL)	C/RW	31	4/20/1989	No	86 Kg	183 CM	No	No	No	2	Pro & Farm	1,200,000$	1,200,000$	1,200,000$	1,200,000$	0$	0$	No	1,200,000$					Lien
Dominik Kahun	BRIDGEPORT Sound Tigers (ISL)	C	25	7/2/1995	No	80 Kg	180 CM	No	No	No	2	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$					Lien
Dylan McIlrath	BRIDGEPORT Sound Tigers (ISL)	D	28	4/20/1992	No	105 Kg	196 CM	No	No	No	5	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien
Dylan Wells	BRIDGEPORT Sound Tigers (ISL)	G	22	1/3/1998	No	86 Kg	188 CM	No	No	No	4	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$	750,000$			Lien
Gemel Smith	BRIDGEPORT Sound Tigers (ISL)	C/LW	26	4/16/1994	No	89 Kg	180 CM	No	No	No	3	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$				Lien
Jake Walman	BRIDGEPORT Sound Tigers (ISL)	D	24	2/20/1996	Yes	77 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$
Jason Robertson	BRIDGEPORT Sound Tigers (ISL)	RW	21	7/22/1999	Yes	95 Kg	191 CM	No	No	No	3	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$
Joakim Nordstrom	BRIDGEPORT Sound Tigers (ISL)	LW	28	2/25/1992	No	88 Kg	185 CM	No	No	No	5	Pro & Farm	900,000$	900,000$	900,000$	900,000$	0$	0$	No	900,000$	900,000$	900,000$	900,000$		Lien
Joey Keane	BRIDGEPORT Sound Tigers (ISL)	D	21	7/2/1999	Yes	85 Kg	183 CM	No	No	No	3	Pro & Farm	800,000$	800,000$	750,000$	750,000$	0$	0$	No	800,000$	800,000$
Kevin Connauton	BRIDGEPORT Sound Tigers (ISL)	D	30	2/23/1990	No	93 Kg	188 CM	No	No	No	6	Pro & Farm	1,375,000$	1,375,000$	750,000$	750,000$	0$	0$	No	1,375,000$	1,375,000$	1,375,000$	1,375,000$	1,375,000$	Lien
Korbinian Holzer	BRIDGEPORT Sound Tigers (ISL)	D	32	2/16/1988	No	97 Kg	191 CM	No	No	No	4	Pro & Farm	850,000$	850,000$	850,000$	850,000$	0$	0$	No	850,000$	850,000$	850,000$			Lien
Logan Brown	BRIDGEPORT Sound Tigers (ISL)	C/LW	22	3/5/1998	No	100 Kg	198 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Michael Dal Colle	BRIDGEPORT Sound Tigers (ISL)	LW	24	6/20/1996	No	93 Kg	191 CM	No	No	No	4	Pro & Farm	850,000$	850,000$	850,000$	850,000$	0$	0$	No	850,000$	850,000$	850,000$			Lien
Noah Gregor	BRIDGEPORT Sound Tigers (ISL)	C	22	7/28/1998	Yes	84 Kg	183 CM	No	No	No	3	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$
Ryan Sproul	BRIDGEPORT Sound Tigers (ISL)	D	27	1/13/1993	No	93 Kg	193 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Stuart Skinner	BRIDGEPORT Sound Tigers (ISL)	G	21	11/1/1998	Yes	94 Kg	193 CM	No	No	No	3	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$
Sven Baertschi	BRIDGEPORT Sound Tigers (ISL)	RW	27	10/5/1992	No	86 Kg	180 CM	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	750,000$	750,000$	0$	0$	No						Lien
Tanner Kero	BRIDGEPORT Sound Tigers (ISL)	C/RW	28	7/24/1992	No	82 Kg	183 CM	No	No	No	5	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
19	25.95	90 Kg	188 CM	3.26	932,895$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1		Logan Brown	Colton Sceviour	35	0	2	3
2	Joakim Nordstrom	Noah Gregor		30	0	2	3
3	Jason Robertson	Tanner Kero	Michael Dal Colle	25	1	2	2
4	Michael Dal Colle	Gemel Smith	Colton Sceviour	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Andrej Sekera		44	0	3	2
2	Dylan McIlrath		36	1	3	1
3	Jake Walman	Andrej Sekera	20	1	3	1
4		Dylan McIlrath	0	1	3	1

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1		Logan Brown		55	0	1	4
2	Michael Dal Colle	Colton Sceviour	Jason Robertson	45	1	0	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Andrej Sekera		55	0	1	4
2	Dylan McIlrath		45	0	1	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Colton Sceviour	Joakim Nordstrom	55	1	3	1
2	Logan Brown	Michael Dal Colle	45	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Andrej Sekera		55	1	4	0
2	Dylan McIlrath		45	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Colton Sceviour	55	1	4	0	Andrej Sekera		55	1	4	0
2	Logan Brown	45	1	4	0	Dylan McIlrath		45	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Colton Sceviour	Joakim Nordstrom	55	1	2	2
2	Logan Brown	Michael Dal Colle	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Andrej Sekera		55	1	2	2
2	Dylan McIlrath		45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Joakim Nordstrom	Logan Brown	Colton Sceviour	Andrej Sekera

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Joakim Nordstrom	Colton Sceviour		Andrej Sekera

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Michael Dal Colle, Jason Robertson	, Michael Dal Colle

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Dylan McIlrath, , Jake Walman	Dylan McIlrath	Dylan McIlrath,

Tirs de Pénalité
Colton Sceviour, Logan Brown, Joakim Nordstrom, Tanner Kero,

Gardien
#1 : Stuart Skinner, #2 :

Lignes d'Attaque Perso. en Prol.
Colton Sceviour, Logan Brown, Joakim Nordstrom, Tanner Kero, , Michael Dal Colle, Michael Dal Colle, Jason Robertson, , Gemel Smith, Noah Gregor

Lignes de Défense Perso. en Prol.
Andrej Sekera, , Dylan McIlrath, , Jake Walman

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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

	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
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	0.00%	0.00%
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
40	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$	1,772,500$	1,580,000$	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$	0	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
Saison Régulière
34	80	46	16	0	2	8	6	2	227	154	73	40	25	5	0	1	6	3	0	123	74	49	40	21	11	0	1	2	3	2	104	80	24	118	227	410	637	0	13	80	61	78	13	2535	856	778	858	74	2004	516	649	1418	229	46	20.09%	305	34	88.85%	5	1608	2693	59.71%	1330	2433	54.67%	671	1134	59.17%	2128	1517	1713	560	1018	525
34	80	46	16	0	2	8	6	2	227	154	73	40	25	5	0	1	6	3	0	123	74	49	40	21	11	0	1	2	3	2	104	80	24	118	227	410	637	0	13	80	61	78	13	2535	856	778	858	74	2004	516	649	1418	229	46	20.09%	305	34	88.85%	5	1608	2693	59.71%	1330	2433	54.67%	671	1134	59.17%	2128	1517	1713	560	1018	525
Total Saison Régulière	160	92	32	0	4	16	12	4	454	308	146	80	50	10	0	2	12	6	0	246	148	98	80	42	22	0	2	4	6	4	208	160	48	236	454	820	1274	0	26	160	122	156	26	5070	1712	1556	1716	148	4008	1032	1298	2836	458	92	20.09%	610	68	88.85%	10	3216	5386	59.71%	2660	4866	54.67%	1342	2268	59.17%	4257	3034	3426	1120	2036	1050
Séries
34	12	5	7	0	0	0	0	0	27	27	0	7	4	3	0	0	0	0	0	19	14	5	5	1	4	0	0	0	0	0	8	13	-5	10	27	49	76	1	2	13	8	6	0	354	106	121	117	10	301	94	90	194	38	6	15.79%	43	4	90.70%	1	218	413	52.78%	192	376	51.06%	102	184	55.43%	316	222	288	92	158	80
Total Séries	12	5	7	0	0	0	0	0	27	27	0	7	4	3	0	0	0	0	0	19	14	5	5	1	4	0	0	0	0	0	8	13	-5	10	27	49	76	1	2	13	8	6	0	354	106	121	117	10	301	94	90	194	38	6	15.79%	43	4	90.70%	1	218	413	52.78%	192	376	51.06%	102	184	55.43%	316	222	288	92	158	80