Stanley Cup Winners Hockey League

TAMPA BAY Lightning
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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	Austin Czarnik	0	X		X		100.00	57	35	75	68	63	77	67	67	72	69	65	61	66	55	51	37	88	65	0
2	Greg McKegg	0	X				100.00	58	35	73	68	73	65	85	68	75	62	63	57	65	55	52	57	88	65	0
3	Vladislav Kamenev	0	X	X			100.00	64	35	71	65	79	71	61	64	74	63	62	65	63	51	50	74	88	64	0
4	Justin Bailey	0			X		100.00	62	35	67	68	89	53	55	67	50	62	62	52	63	53	51	69	86	62	0
5	Lee Stempniak	0			X		100.00	51	35	71	69	71	51	51	69	50	62	62	53	62	86	61	26	88	62	0
6	Matt Read	0			X		100.00	52	35	66	68	68	55	56	68	52	62	62	53	63	68	55	26	88	61	0
7	Byron Froese	0	X				100.00	54	89	62	70	78	50	50	70	70	63	63	52	63	54	51	49	88	60	0
8	Connor Brickley	0	X	X	X		100.00	58	53	68	64	75	54	57	64	50	59	58	52	59	53	51	61	88	59	0
9	Danick Martel	0		X			100.00	61	35	75	56	64	67	54	56	63	57	57	58	57	51	50	42	88	58	0
10	Jansen Harkins	0	X				100.00	50	89	64	67	74	50	50	67	50	59	59	50	59	50	50	44	88	58	0
11	Reid Boucher	0		X			100.00	50	35	69	70	69	1	50	70	70	70	70	50	70	55	52	60	88	57	0
12	Quinton Howden	0	X	X			100.00	54	37	80	68	73	45	45	58	40	50	54	63	55	62	54	63	88	57	0
13	Roman Lyubimov (R)	0	X	X			100.00	51	35	80	67	76	45	43	57	33	48	54	64	54	62	52	63	88	57	0
14	Jason Garrison	0				X	100.00	59	35	75	61	81	73	58	61	30	53	60	72	66	72	57	23	88	64	0
15	Andrey Pedan	0				X	100.00	67	47	58	50	87	58	69	58	30	46	40	60	57	51	51	65	88	57	0
16	TJ Brennan	0				X	100.00	57	89	58	70	81	50	50	70	30	50	45	50	55	52	51	62	88	57	0
17	Frank Corrado	0				X	100.00	53	89	69	56	75	50	50	56	30	47	42	50	52	53	51	47	39	53	0
18	Ryan Lindgren (R)	0				X	100.00	53	35	53	58	75	47	52	58	30	45	41	51	51	50	50	73	53	52	0
Rayé
1	Seth Helgeson	0				X	100.00	64	89	42	58	91	46	50	58	30	46	41	50	51	52	51	48	79	54	0

	MOYENNE D'ÉQUIPE					100.00	57	51	67	64	76	53	55	63	49	56	56	56	60	57	52	52	83	59

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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	Philippe Desrosiers	100.00	74	62	81	76	73	73	74	73	73	73	68	50	62	43	88	64	0
2	Jean-Francois Berube	100.00	51	56	69	69	65	55	58	60	61	57	55	64	55	55	88	54	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	63	59	75	73	69	64	66	67	67	65	62	57	59	49	88	59

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dean Evason	68	68	68	68	76	76	62	CAN	55	3	325,000$

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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	PKM	GW	GT	FO%	FOT	P/20	S1	S2	S3
1	Vladislav Kamenev	SYRACUSE Crunch (TB )	C/LW	7	5	5	10	3	2	0	15	6	34	3	11	14.71%	1	128	18.29	0	3	3	7	21	19	1	0	76.47%	34	1.56	1	3	0
2	Austin Czarnik	SYRACUSE Crunch (TB )	C/RW	7	3	6	9	2	8	0	11	16	35	12	31	8.57%	2	188	26.93	1	3	4	7	21	22	1	1	58.55%	193	0.95	0	1	0
3	Lee Stempniak	SYRACUSE Crunch (TB )	RW	7	5	4	9	3	4	0	4	7	20	5	16	25.00%	2	126	18.03	3	1	4	7	21	18	1	0	83.33%	6	1.43	0	1	1
4	Jason Garrison	SYRACUSE Crunch (TB )	D	7	1	7	8	1	8	0	16	9	17	5	16	5.88%	21	199	28.56	1	2	3	10	19	20	0	0	0.00%	0	0.80	1	0	1
5	Connor Brickley	SYRACUSE Crunch (TB )	C/LW/RW	7	2	3	5	1	2	0	8	12	15	7	21	13.33%	0	121	17.36	0	0	0	2	19	0	0	0	62.50%	8	0.82	0	0	2
6	Justin Bailey	SYRACUSE Crunch (TB )	RW	7	2	2	4	1	15	5	5	8	26	8	22	7.69%	0	110	15.85	0	0	0	6	16	0	1	1	50.00%	8	0.72	0	0	1
7	Greg McKegg	SYRACUSE Crunch (TB )	C	7	1	2	3	0	2	0	9	21	21	10	26	4.76%	1	150	21.50	0	0	0	6	19	27	0	0	73.15%	149	0.40	0	0	0
8	Danick Martel	SYRACUSE Crunch (TB )	LW	7	2	1	3	-1	8	0	5	8	23	2	17	8.70%	1	110	15.83	0	0	0	0	0	0	1	0	60.00%	5	0.54	0	0	0
9	Matt Read	SYRACUSE Crunch (TB )	RW	7	1	1	2	-1	6	0	7	17	30	11	21	3.33%	2	126	18.06	0	0	0	0	0	15	0	0	60.00%	10	0.32	1	0	0
10	Byron Froese	SYRACUSE Crunch (TB )	C	7	0	2	2	-1	2	0	7	8	17	8	28	0.00%	1	112	16.02	0	0	0	0	0	1	0	0	67.57%	111	0.36	0	0	0
11	Andrey Pedan	SYRACUSE Crunch (TB )	D	7	0	2	2	0	6	0	15	3	7	4	6	0.00%	9	144	20.66	0	0	0	5	18	22	0	0	0.00%	0	0.28	0	0	0
12	TJ Brennan	SYRACUSE Crunch (TB )	D	7	0	2	2	-1	4	0	5	7	8	3	4	0.00%	3	166	23.79	0	1	1	3	16	19	0	0	0.00%	0	0.24	0	0	0
13	Quinton Howden	SYRACUSE Crunch (TB )	C/LW	7	0	1	1	0	0	0	1	11	5	4	13	0.00%	2	66	9.50	0	0	0	0	0	0	0	0	75.00%	4	0.30	0	0	0
14	Jansen Harkins	SYRACUSE Crunch (TB )	C	7	0	1	1	0	0	0	7	9	7	2	10	0.00%	1	66	9.50	0	0	0	0	0	0	0	0	61.90%	84	0.30	0	0	0
15	Ryan Lindgren	SYRACUSE Crunch (TB )	D	7	0	1	1	2	2	0	8	2	1	1	1	0.00%	10	158	22.67	0	0	0	1	21	23	0	0	0.00%	0	0.13	0	0	0
16	Reid Boucher	SYRACUSE Crunch (TB )	LW	7	0	0	0	1	0	0	0	0	0	0	0	0.00%	0	5	0.75	0	0	0	0	0	2	0	0	0.00%	0	0.00	0	0	0
17	Roman Lyubimov	SYRACUSE Crunch (TB )	C/LW	7	0	0	0	1	0	0	0	4	2	0	1	0.00%	2	29	4.15	0	0	0	0	3	9	0	0	80.00%	10	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				119	22	40	62	11	69	5	123	148	268	85	244	8.21%	58	2012	16.91	5	10	15	54	201	203	5	2	65.76%	622	0.62	3	5	5

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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	Philippe Desrosiers	SYRACUSE Crunch (TB )	7	5	2	0	0.918	2.08	461	0	0	16	194	0	0	0	0.000	0	7	0	1	0	0
Stats d'équipe Total ou en Moyenne			7	5	2	0	0.918	2.08	461	0	0	16	194	0	0	0	0.000	0	7	0	1	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	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Andrey Pedan	SYRACUSE Crunch (TB )	D	26	1993-07-03	No	97 Kg	196 CM	No	No	No	1	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Austin Czarnik	SYRACUSE Crunch (TB )	C/RW	26	1992-12-12	No	77 Kg	175 CM	No	No	No	4	Avec Restriction	Pro & Farm	1,250,000$	0$	0$	No	Lien
Byron Froese	SYRACUSE Crunch (TB )	C	28	1991-03-12	No	92 Kg	185 CM	No	No	No	3	Sans Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Connor Brickley	SYRACUSE Crunch (TB )	C/LW/RW	27	1992-02-25	No	92 Kg	183 CM	No	No	No	3	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Danick Martel	SYRACUSE Crunch (TB )	LW	24	1994-12-12	No	80 Kg	173 CM	No	No	No	1	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Frank Corrado	SYRACUSE Crunch (TB )	D	26	1993-03-26	No	93 Kg	183 CM	No	No	No	4	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Greg McKegg	SYRACUSE Crunch (TB )	C	27	1992-06-17	No	88 Kg	183 CM	No	No	No	2	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Jansen Harkins	SYRACUSE Crunch (TB )	C	22	1997-05-23	No	83 Kg	185 CM	No	No	No	2	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Jason Garrison	SYRACUSE Crunch (TB )	D	34	1984-11-13	No	99 Kg	185 CM	No	No	No	2	Sans Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Jean-Francois Berube	SYRACUSE Crunch (TB )	G	28	1991-07-13	No	80 Kg	185 CM	No	No	No	3	Sans Restriction	Pro & Farm	750,000$	0$	0$	No
Justin Bailey	SYRACUSE Crunch (TB )	RW	24	1995-07-01	No	97 Kg	193 CM	No	No	No	1	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Lee Stempniak	SYRACUSE Crunch (TB )	RW	36	1983-02-04	No	89 Kg	180 CM	No	No	No	1	Sans Restriction	Pro & Farm	2,500,000$	0$	0$	No	Lien
Matt Read	SYRACUSE Crunch (TB )	RW	33	1986-06-14	No	85 Kg	178 CM	No	No	No	5	Sans Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Philippe Desrosiers	SYRACUSE Crunch (TB )	G	24	1995-08-16	No	89 Kg	185 CM	No	No	No	4	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Quinton Howden	SYRACUSE Crunch (TB )	C/LW	27	1992-01-21	No	86 Kg	188 CM	No	No	No	6	Avec Restriction	Pro & Farm	750,000$	0$	0$	No
Reid Boucher	SYRACUSE Crunch (TB )	LW	25	1993-09-08	No	89 Kg	178 CM	No	No	No	2	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Roman Lyubimov	SYRACUSE Crunch (TB )	C/LW	27	1992-01-06	Yes	94 Kg	188 CM	No	No	No	2	Avec Restriction	Pro & Farm	950,000$	0$	0$	No
Ryan Lindgren	SYRACUSE Crunch (TB )	D	21	1998-02-11	Yes	91 Kg	183 CM	No	No	No	3	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Seth Helgeson	SYRACUSE Crunch (TB )	D	28	1990-10-08	No	100 Kg	193 CM	No	No	No	4	Sans Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
TJ Brennan	SYRACUSE Crunch (TB )	D	30	1989-04-03	No	98 Kg	185 CM	No	No	No	5	Sans Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Vladislav Kamenev	SYRACUSE Crunch (TB )	C/LW	23	1996-08-12	No	88 Kg	188 CM	No	No	No	2	Avec Restriction	Pro & Farm	830,000$	0$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	26.95	90 Kg	185 CM	2.86	870,476$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Vladislav Kamenev	Austin Czarnik	Lee Stempniak	31	1	2	2
2	Connor Brickley	Greg McKegg	Justin Bailey	26	1	2	2
3	Danick Martel	Byron Froese	Matt Read	23	1	2	2
4	Quinton Howden	Jansen Harkins	Austin Czarnik	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jason Garrison	Ryan Lindgren	31	1	2	2
2	TJ Brennan	Andrey Pedan	26	1	2	2
3		Jason Garrison	23	1	2	2
4	Ryan Lindgren	TJ Brennan	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Vladislav Kamenev	Austin Czarnik	Lee Stempniak	55	1	2	2
2	Connor Brickley	Greg McKegg	Justin Bailey	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jason Garrison	Ryan Lindgren	55	1	2	2
2	TJ Brennan	Andrey Pedan	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Austin Czarnik	Greg McKegg	55	1	2	2
2	Vladislav Kamenev	Lee Stempniak	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jason Garrison	Ryan Lindgren	55	1	2	2
2	TJ Brennan	Andrey Pedan	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Austin Czarnik	55	1	2	2	Jason Garrison	Ryan Lindgren	55	1	2	2
2	Greg McKegg	45	1	2	2	TJ Brennan	Andrey Pedan	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Austin Czarnik	Greg McKegg	55	1	2	2
2	Vladislav Kamenev	Lee Stempniak	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jason Garrison	Ryan Lindgren	55	1	2	2
2	TJ Brennan	Andrey Pedan	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Vladislav Kamenev	Austin Czarnik	Lee Stempniak	Jason Garrison	Ryan Lindgren

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Vladislav Kamenev	Austin Czarnik	Lee Stempniak	Jason Garrison	Ryan Lindgren

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Roman Lyubimov, Reid Boucher, Matt Read	Roman Lyubimov, Reid Boucher	Matt Read

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Andrey Pedan, Jason Garrison		Andrey Pedan, Jason Garrison

Tirs de Pénalité
Austin Czarnik, Greg McKegg, Vladislav Kamenev, Lee Stempniak, Justin Bailey

Gardien
#1 : Philippe Desrosiers, #2 : Jean-Francois Berube

Lignes d'Attaque Perso. en Prol.
Austin Czarnik, Greg McKegg, Vladislav Kamenev, Lee Stempniak, Justin Bailey, Matt Read, Matt Read, Byron Froese, Connor Brickley, Jansen Harkins, Danick Martel

Lignes de Défense Perso. en Prol.
Jason Garrison, Ryan Lindgren, TJ Brennan, Andrey Pedan,

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	MANITOBA Moose	4	4	0	0	0	0	0	0	15	8	7	2	2	0	0	0	0	0	0	8	4	4	2	2	0	0	0	0	0	0	7	4	3	8	1.000	15	28	43	0	0	10	5	6	1	175	73	89	86	20	125	35	47	76	15	3	20.00%	16	0	100.00%	0	181	268	67.54%	168	238	70.59%	60	116	51.72%	195	142	177	52	88	45
2	STOCKTON Flames	3	1	2	0	0	0	0	0	7	8	-1	2	1	1	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	0	2	-2	2	0.333	7	12	19	0	0	10	5	6	1	93	73	89	86	20	69	23	22	50	8	2	25.00%	10	2	80.00%	0	181	268	67.54%	168	238	70.59%	60	116	51.72%	195	142	177	52	88	45
	Total	7	5	2	0	0	0	0	0	22	16	6	4	3	1	0	0	0	0	0	15	10	5	3	2	1	0	0	0	0	0	7	6	1	10	0.714	22	40	62	0	0	10	5	6	1	268	73	89	86	20	194	58	69	126	23	5	21.74%	26	2	92.31%	0	181	268	67.54%	168	238	70.59%	60	116	51.72%	195	142	177	52	88	45
	_Since Last GM Reset	7	5	2	0	0	0	0	0	22	16	6	4	3	1	0	0	0	0	0	15	10	5	3	2	1	0	0	0	0	0	7	6	1	10	0.714	22	40	62	0	0	10	5	6	1	268	73	89	86	20	194	58	69	126	23	5	21.74%	26	2	92.31%	0	181	268	67.54%	168	238	70.59%	60	116	51.72%	195	142	177	52	88	45
	_Vs Conference	7	5	2	0	0	0	0	0	22	16	6	4	3	1	0	0	0	0	0	15	10	5	3	2	1	0	0	0	0	0	7	6	1	10	0.714	22	40	62	0	0	10	5	6	1	268	73	89	86	20	194	58	69	126	23	5	21.74%	26	2	92.31%	0	181	268	67.54%	168	238	70.59%	60	116	51.72%	195	142	177	52	88	45

			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
7	10	L2	22	40	62	268	194	58	69	126	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	5	2	0	0	0	0	22	16

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	15	10

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	7	6

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	2	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
23	5	21.74%	26	2	92.31%	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
73	89	86	20	10	5	6	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
181	268	67.54%	168	238	70.59%	60	116	51.72%

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
195	142	177	52	88	45

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	3	MANITOBA Moose	2	SYRACUSE Crunch	3	W		Sommaire du Match
3 - 2019-11-29	11	MANITOBA Moose	2	SYRACUSE Crunch	5	W		Sommaire du Match
5 - 2019-12-01	19	SYRACUSE Crunch	4	MANITOBA Moose	2	W		Sommaire du Match
7 - 2019-12-03	27	SYRACUSE Crunch	3	MANITOBA Moose	2	W	X	Sommaire du Match
15 - 2019-12-11	58	STOCKTON Flames	2	SYRACUSE Crunch	5	W		Sommaire du Match
17 - 2019-12-13	62	STOCKTON Flames	4	SYRACUSE Crunch	2	L		Sommaire du Match
19 - 2019-12-15	66	SYRACUSE Crunch	0	STOCKTON Flames	2	L		Sommaire du Match
21 - 2019-12-17	70	SYRACUSE Crunch	-	STOCKTON Flames	-
23 - 2019-12-19	74	STOCKTON Flames	-	SYRACUSE Crunch	-
25 - 2019-12-21	78	SYRACUSE Crunch	-	STOCKTON Flames	-
27 - 2019-12-23	82	STOCKTON Flames	-	SYRACUSE Crunch	-

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$	1,828,000$	1,828,000$	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	7	5	2	0	0	0	0	0	22	16	6	4	3	1	0	0	0	0	0	15	10	5	3	2	1	0	0	0	0	0	7	6	1	10	22	40	62	0	0	10	5	6	1	268	73	89	86	20	194	58	69	126	23	5	21.74%	26	2	92.31%	0	181	268	67.54%	168	238	70.59%	60	116	51.72%	195	142	177	52	88	45
Total Séries	7	5	2	0	0	0	0	0	22	16	6	4	3	1	0	0	0	0	0	15	10	5	3	2	1	0	0	0	0	0	7	6	1	10	22	40	62	0	0	10	5	6	1	268	73	89	86	20	194	58	69	126	23	5	21.74%	26	2	92.31%	0	181	268	67.54%	168	238	70.59%	60	116	51.72%	195	142	177	52	88	45