LHSIR - Sharks

Sharks
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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	Alan Quine	X				100.00	78	73	88	75	73	68	68	72	80	74	65	71	62	55	56	70	50	0	0
2	Beck Malenstyn (R)		X			100.00	77	72	87	65	72	73	79	53	50	47	54	63	51	44	44	59	50	0	0
3	Danny O'Regan (R)	X		X		100.00	73	66	88	68	66	79	84	62	78	62	57	63	54	44	44	64	50	0	0
4	Brayden Burke		X	X		100.00	68	62	81	62	62	74	76	69	50	68	66	62	63	44	44	67	50	0	0
5	Brett Seney	X	X			100.00	60	56	70	77	56	82	87	63	79	60	62	58	59	49	49	64	50	0	0
6	Jordan Greenway		X	X		100.00	79	66	77	80	87	67	94	64	54	75	62	72	25	60	60	70	50	0	0
7	Sam Steel	X				100.00	63	41	90	81	64	70	86	72	85	70	59	60	25	55	55	66	50	0	0
8	Troy Terry	X		X		100.00	57	40	95	77	65	68	84	74	36	68	59	54	53	54	54	64	50	0	0
9	Miles Wood		X	X		100.00	80	54	76	92	74	64	83	69	25	67	70	72	25	62	63	71	49	0	0
10	William Carrier		X			100.00	95	57	84	80	78	55	80	59	56	63	59	56	25	61	62	64	50	0	0
11	Travis Boyd	X		X		100.00	67	42	97	63	67	59	61	68	59	74	64	64	25	54	55	66	50	0	0
12	Shane Bowers (R)	X				100.00	76	70	90	66	70	62	63	60	75	58	58	64	55	44	44	63	50	0	0
13	Chad Ruhwedel				X	100.00	83	44	90	72	69	65	54	60	25	49	48	70	25	59	60	60	50	0	0
14	Jordan Oesterle				X	100.00	71	42	91	77	67	71	82	65	25	52	48	74	25	61	61	62	50	0	0
15	Mark Pysyk				X	100.00	71	43	89	80	74	60	81	56	44	52	60	77	25	67	67	66	58	0	0
16	Rasmus Sandin (R)				X	100.00	77	43	88	80	67	64	63	64	25	59	48	62	25	46	46	61	50	0	0
17	Sean Walker				X	100.00	77	44	88	66	70	76	83	68	25	61	49	76	25	57	57	64	50	0	0
18	Trevor van Riemsdyk				X	100.00	63	41	93	80	70	65	81	60	25	51	47	69	25	65	66	60	50	0	0
Rayé
1	Otto Koivula (R)		X	X		100.00	75	45	94	66	83	50	76	55	59	50	55	71	25	45	45	60	50	0	0
2	Brett Leason (R)			X		100.00	81	77	91	64	77	67	72	50	50	50	46	64	44	44	44	57	50	0	0
3	Connor Clifton				X	100.00	94	46	88	64	64	64	70	57	25	39	48	67	45	48	49	59	50	0	0
4	Tobias Geisser (R)				X	100.00	84	77	99	52	77	46	48	41	25	28	39	63	37	44	44	49	50	0	0

	MOYENNE D'ÉQUIPE					100.00	75	55	88	72	71	66	75	62	48	58	56	66	37	53	53	63	50	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 Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Aaron Dell	100.00	69	62	61	73	69	70	67	70	77	70	75	57	58	69	50	0	0
2	Craig Anderson	100.00	68	74	74	73	73	63	56	69	69	68	78	76	78	68	45	0	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	69	68	68	73	71	67	62	70	73	69	77	67	68	69	48	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Doug Weight	75	71	79	77	74	70	77	USA	51	3	1,250,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	P/20	S1	S2	S3
1	Sam Steel	Sharks (SJS)	C	4	1	4	5	1	0	1	6	6	0	4	16.67%	1	58	14.68	0	3	3	1	9	0	5	0	1	55.00%	60	1.70	0	1	0
2	Troy Terry	Sharks (SJS)	C/RW	4	1	3	4	1	0	0	4	6	0	8	16.67%	0	53	13.26	1	2	3	2	9	0	0	0	0	33.33%	3	1.51	0	0	0
3	William Carrier	Sharks (SJS)	LW	4	2	2	4	1	4	14	3	4	0	9	50.00%	1	53	13.25	2	1	3	2	9	0	0	0	0	100.00%	2	1.51	0	0	1
4	Alan Quine	Sharks (SJS)	C	4	0	1	1	-1	6	3	16	11	3	5	0.00%	6	70	17.51	0	0	0	3	18	0	5	0	0	55.13%	78	0.29	0	0	0
5	Chad Ruhwedel	Sharks (SJS)	D	4	1	0	1	0	2	6	3	1	0	2	100.00%	1	42	10.50	0	0	0	0	0	0	0	0	0	0.00%	0	0.48	0	0	0
6	Brett Seney	Sharks (SJS)	C/LW	4	1	0	1	-2	0	2	6	5	1	2	20.00%	1	42	10.72	0	0	0	0	0	0	0	0	0	0.00%	1	0.47	0	0	0
7	Jordan Oesterle	Sharks (SJS)	D	4	0	1	1	-2	10	7	2	0	2	0	0.00%	2	52	13.16	0	0	0	0	1	0	1	0	0	0.00%	0	0.38	0	0	0
8	Jordan Greenway	Sharks (SJS)	LW/RW	4	1	0	1	-1	4	13	14	8	1	9	12.50%	4	83	20.89	0	0	0	2	18	0	16	1	0	100.00%	3	0.24	1	0	0
9	Travis Boyd	Sharks (SJS)	C/RW	4	0	1	1	-2	0	3	2	5	2	3	0.00%	0	43	10.79	0	0	0	0	0	0	0	0	0	47.06%	34	0.46	0	0	0
10	Beck Malenstyn	Sharks (SJS)	LW	4	0	0	0	0	0	1	0	0	0	0	0.00%	1	3	0.84	0	0	0	0	0	0	2	0	0	0.00%	1	0.00	0	0	0
11	Danny O'Regan	Sharks (SJS)	C/RW	4	0	0	0	-2	0	3	1	2	1	3	0.00%	1	54	13.65	0	0	0	0	0	1	11	0	0	0.00%	2	0.00	0	0	0
12	Otto Koivula	Sharks (SJS)	LW/RW	1	0	0	0	0	0	2	2	1	1	0	0.00%	1	7	7.05	0	0	0	0	0	0	0	0	0	0.00%	1	0.00	0	0	0
13	Rasmus Sandin	Sharks (SJS)	D	4	0	0	0	0	4	3	2	1	0	0	0.00%	0	41	10.38	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0
14	Trevor van Riemsdyk	Sharks (SJS)	D	4	0	0	0	-2	2	2	2	1	0	0	0.00%	0	52	13.06	0	0	0	0	1	0	0	0	0	0.00%	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				53	7	12	19	-9	32	60	63	51	11	45	13.73%	19	657	12.41	3	6	9	10	66	1	43	1	1	52.97%	185	0.58	1	1	1

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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	Aaron Dell	Sharks (SJS)	4	1	3	0	0.892	3.08	214	0	0	11	102	0	0	0	0.000	0	4	0	0	0	0
Stats d'équipe Total ou en Moyenne			4	1	3	0	0.892	3.08	214	0	0	11	102	0	0	0	0.000	0	4	0	0	0	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	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	Link
Aaron Dell	Sharks (SJS)	G	31	1989-05-04	No	200 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,900,000$	190,000$	1,900,000$	190,000$	0$	0$	No	1,900,000$		Lien
Alan Quine	Sharks (SJS)	C	27	1993-02-25	No	203 Lbs	6 ft0	No	No	No	3	Pro & Farm	735,000$	73,500$	735,000$	73,500$	0$	0$	No	735,000$	735,000$	Lien
Beck Malenstyn	Sharks (SJS)	LW	22	1998-02-04	Yes	194 Lbs	6 ft2	No	No	No	3	Pro & Farm	773,333$	77,333$	773,333$	77,333$	0$	0$	No	773,333$	773,333$
Brayden Burke	Sharks (SJS)	LW/RW	23	1997-01-01	No	170 Lbs	5 ft10	No	No	No	3	Pro & Farm	925,000$	92,500$	925,000$	92,500$	0$	0$	No	925,000$	925,000$	Lien
Brett Leason	Sharks (SJS)	RW	21	1999-04-30	Yes	201 Lbs	6 ft4	No	No	No	3	Pro & Farm	925,000$	92,500$	925,000$	92,500$	0$	0$	No	925,000$	925,000$
Brett Seney	Sharks (SJS)	C/LW	24	1996-02-28	No	156 Lbs	5 ft9	No	No	No	2	Pro & Farm	757,500$	75,750$	757,500$	75,750$	0$	0$	No	757,500$		Lien
Chad Ruhwedel	Sharks (SJS)	D	30	1990-05-07	No	191 Lbs	5 ft11	No	No	No	1	Pro & Farm	650,000$	65,000$	650,000$	65,000$	0$	0$	No			Lien
Connor Clifton	Sharks (SJS)	D	25	1995-04-28	No	175 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,000,000$	100,000$	1,000,000$	100,000$	0$	0$	No			Lien
Craig Anderson	Sharks (SJS)	G	39	1981-05-21	No	185 Lbs	6 ft2	No	No	No	1	Pro & Farm	3,000,000$	300,000$	3,000,000$	300,000$	0$	0$	No			Lien
Danny O'Regan	Sharks (SJS)	C/RW	26	1994-01-30	Yes	185 Lbs	5 ft10	No	No	No	2	Pro & Farm	874,125$	87,413$	450,000$	45,000$	0$	0$	No	874,125$		Lien
Jordan Greenway	Sharks (SJS)	LW/RW	23	1997-02-16	No	226 Lbs	6 ft6	No	No	No	2	Pro & Farm	1,225,000$	122,500$	1,225,000$	122,500$	0$	0$	No	1,225,000$		Lien
Jordan Oesterle	Sharks (SJS)	D	28	1992-06-24	No	182 Lbs	6 ft0	No	No	No	1	Pro & Farm	650,000$	65,000$	1,000,000$	100,000$	0$	0$	No			Lien
Mark Pysyk	Sharks (SJS)	D	28	1992-01-11	No	200 Lbs	6 ft1	No	No	No	3	Pro & Farm	2,733,333$	273,333$	2,733,333$	273,333$	0$	0$	No	2,733,333$	2,733,333$	Lien
Miles Wood	Sharks (SJS)	LW/RW	24	1995-09-13	No	195 Lbs	6 ft2	No	No	No	2	Pro & Farm	2,750,000$	275,000$	2,750,000$	275,000$	0$	0$	No	2,750,000$		Lien
Otto Koivula	Sharks (SJS)	LW/RW	21	1998-10-01	Yes	220 Lbs	6 ft4	No	No	No	3	Pro & Farm	925,000$	92,500$	925,000$	92,500$	0$	0$	No	925,000$	925,000$
Rasmus Sandin	Sharks (SJS)	D	20	2000-03-07	Yes	187 Lbs	5 ft11	No	No	No	3	Pro & Farm	894,167$	89,417$	894,167$	89,417$	0$	0$	No	894,167$	894,167$
Sam Steel	Sharks (SJS)	C	22	1998-02-03	No	178 Lbs	5 ft11	No	No	No	2	Pro & Farm	863,333$	86,333$	450,000$	45,000$	0$	0$	No	863,333$		Lien
Sean Walker	Sharks (SJS)	D	25	1994-11-12	No	196 Lbs	5 ft11	No	No	No	1	Pro & Farm	807,500$	80,750$	745,000$	74,500$	0$	0$	No			Lien
Shane Bowers	Sharks (SJS)	C	20	1999-07-30	Yes	187 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,075,000$	107,500$	1,075,000$	107,500$	0$	0$	No	1,075,000$	1,075,000$
Tobias Geisser	Sharks (SJS)	D	21	1999-02-13	Yes	201 Lbs	6 ft4	No	No	No	3	Pro & Farm	837,778$	83,778$	837,778$	83,778$	0$	0$	No	837,778$	837,778$
Travis Boyd	Sharks (SJS)	C/RW	26	1993-09-14	No	185 Lbs	5 ft11	No	No	No	3	Pro & Farm	800,000$	80,000$	800,000$	80,000$	0$	0$	No	800,000$	800,000$	Lien
Trevor van Riemsdyk	Sharks (SJS)	D	28	1991-07-24	No	188 Lbs	6 ft2	No	No	No	1	Pro & Farm	2,300,000$	230,000$	2,300,000$	230,000$	0$	0$	No			Lien
Troy Terry	Sharks (SJS)	C/RW	22	1997-09-10	No	174 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,491,666$	149,167$	1,491,666$	149,167$	0$	0$	No	1,491,666$		Lien
William Carrier	Sharks (SJS)	LW	25	1994-12-20	No	212 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,400,000$	140,000$	1,400,000$	140,000$	0$	0$	No			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	25.04	191 Lbs	6 ft1	2.13	1,262,197$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1		Alan Quine	Jordan Greenway	35	1	2	2
2	William Carrier	Sam Steel	Troy Terry	30	1	2	2
3	Brett Seney	Travis Boyd	Danny O'Regan	25	1	2	2
4				10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			35	1	2	2
2	Jordan Oesterle	Trevor van Riemsdyk	30	1	2	2
3	Rasmus Sandin	Chad Ruhwedel	25	1	2	2
4			10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1		Alan Quine	Jordan Greenway	60	1	2	2
2	William Carrier	Sam Steel	Troy Terry	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2	Jordan Oesterle	Trevor van Riemsdyk	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Jordan Greenway	60	1	2	2
2	Alan Quine	Sam Steel	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2	Jordan Oesterle	Trevor van Riemsdyk	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2	Jordan Greenway	40	1	2	2	Jordan Oesterle	Trevor van Riemsdyk	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Jordan Greenway	60	1	2	2
2	Alan Quine	Sam Steel	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2	Jordan Oesterle	Trevor van Riemsdyk	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
	Alan Quine	Jordan Greenway

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
	Alan Quine	Jordan Greenway

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Beck Malenstyn, Travis Boyd, Danny O'Regan	Beck Malenstyn, Travis Boyd	Danny O'Regan

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Rasmus Sandin, Chad Ruhwedel, Jordan Oesterle	Rasmus Sandin	Chad Ruhwedel, Jordan Oesterle

Tirs de Pénalité
, Jordan Greenway, Alan Quine, Sam Steel, William Carrier

Gardien
#1 : Aaron Dell, #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
1	Sound Tigers	4	1	3	0	0	0	0	0	8	12	-4	2	0	2	0	0	0	0	0	4	6	-2	2	1	1	0	0	0	0	0	4	6	-2	2	0.250	8	14	22	0	0	5	2	1	0	59	27	17	15	0	108	28	50	71	18	3	16.67%	26	4	84.62%	0	38	87	43.68%	49	128	38.28%	23	63	36.51%	80	56	115	28	44	20
	Total	4	1	3	0	0	0	0	0	8	12	-4	2	0	2	0	0	0	0	0	4	6	-2	2	1	1	0	0	0	0	0	4	6	-2	2	0.250	8	14	22	0	0	5	2	1	0	59	27	17	15	0	108	28	50	71	18	3	16.67%	26	4	84.62%	0	38	87	43.68%	49	128	38.28%	23	63	36.51%	80	56	115	28	44	20
	_Since Last GM Reset	4	1	3	0	0	0	0	0	8	12	-4	2	0	2	0	0	0	0	0	4	6	-2	2	1	1	0	0	0	0	0	4	6	-2	2	0.250	8	14	22	0	0	5	2	1	0	59	27	17	15	0	108	28	50	71	18	3	16.67%	26	4	84.62%	0	38	87	43.68%	49	128	38.28%	23	63	36.51%	80	56	115	28	44	20
	_Vs Conference	4	1	3	0	0	0	0	0	8	12	-4	2	0	2	0	0	0	0	0	4	6	-2	2	1	1	0	0	0	0	0	4	6	-2	2	0.250	8	14	22	0	0	5	2	1	0	59	27	17	15	0	108	28	50	71	18	3	16.67%	26	4	84.62%	0	38	87	43.68%	49	128	38.28%	23	63	36.51%	80	56	115	28	44	20
	_Vs Division	4	1	3	0	0	0	0	0	8	12	-4	2	0	2	0	0	0	0	0	4	6	-2	2	1	1	0	0	0	0	0	4	6	-2	2	0.250	8	14	22	0	0	5	2	1	0	59	27	17	15	0	108	28	50	71	18	3	16.67%	26	4	84.62%	0	38	87	43.68%	49	128	38.28%	23	63	36.51%	80	56	115	28	44	20

			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
4	2	L1	8	14	22	59	108	28	50	71	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	8	12

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	4	6

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	4	6

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	3	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
18	3	16.67%	26	4	84.62%	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
27	17	15	0	5	2	1	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
38	87	43.68%	49	128	38.28%	23	63	36.51%

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
80	56	115	28	44	20

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	Lien
1 - 2020-06-22	4	Sound Tigers	2	Sharks	1	L	Sommaire du Match
2 - 2020-06-23	8	Sound Tigers	4	Sharks	3	L	Sommaire du Match
3 - 2020-06-24	12	Sharks	2	Sound Tigers	1	W	Sommaire du Match
4 - 2020-06-25	16	Sharks	2	Sound Tigers	5	L	Sommaire du Match

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
-2	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$	3,029,274$	2,974,278$	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$	1	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
2020	4	1	3	0	0	0	0	0	8	12	-4	2	0	2	0	0	0	0	0	4	6	-2	2	1	1	0	0	0	0	0	4	6	-2	2	8	14	22	0	0	5	2	1	0	59	27	17	15	0	108	28	50	71	18	3	16.67%	26	4	84.62%	0	38	87	43.68%	49	128	38.28%	23	63	36.51%	80	56	115	28	44	20
Total Séries	4	1	3	0	0	0	0	0	8	12	-4	2	0	2	0	0	0	0	0	4	6	-2	2	1	1	0	0	0	0	0	4	6	-2	2	8	14	22	0	0	5	2	1	0	59	27	17	15	0	108	28	50	71	18	3	16.67%	26	4	84.62%	0	38	87	43.68%	49	128	38.28%	23	63	36.51%	80	56	115	28	44	20