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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	Paul Carey	X	X			100.00	76	74	79	80	74	77	81	62	78	55	65	65	62	47	48	66	50	64	0	32	1	1,200,000$
2	Brad Malone	X	X	X		100.00	69	76	52	61	76	69	71	65	80	59	62	67	59	65	66	63	50	63	0	32	2	650,000$
3	Vitaly Abramov		X	X		100.00	68	61	83	69	61	76	79	65	50	62	64	61	61	44	44	65	50	62	0	23	3	880,000$
4	Taro Hirose		X			100.00	65	41	92	63	59	63	71	77	26	65	58	61	25	47	47	63	50	61	0	25	1	925,000$
5	Nick Merkley (R)	X		X		100.00	73	68	83	69	68	60	60	63	79	65	57	63	54	44	44	62	50	60	0	24	3	1,075,833$
6	David Gustafsson (R)	X				100.00	59	41	99	80	71	45	57	51	64	50	57	69	25	46	46	60	50	58	0	21	3	925,000$
7	Mathieu Olivier			X		100.00	70	76	55	64	76	71	76	54	50	47	57	60	54	44	44	58	50	57	0	24	1	730,000$
8	Tyrell Goulbourne		X	X		100.00	72	70	78	68	70	69	76	45	50	41	44	58	42	44	44	52	50	54	0	27	2	773,333$
9	Stephen Johns (R)				X	100.00	94	47	83	76	83	72	49	59	25	53	53	72	25	45	45	63	50	65	0	29	2	2,400,000$
10	Jake Bean				X	100.00	73	69	83	67	69	78	83	62	25	59	51	63	48	44	44	62	50	62	0	23	3	1,363,333$
11	Zach Trotman				X	100.00	81	80	83	71	80	56	57	57	25	49	49	69	47	55	55	59	50	62	0	30	3	750,000$
12	Steven Santini				X	100.00	77	76	79	72	76	62	66	48	25	39	40	64	38	54	54	53	50	60	0	26	2	900,000$
13	Rob O'Gara				X	100.00	83	81	87	63	81	55	57	48	25	36	45	65	43	44	44	55	50	58	0	28	3	750,000$
14	Samuel Morin (R)				X	100.00	80	79	81	69	79	36	35	41	25	28	39	61	37	44	44	48	50	54	0	26	2	1,363,333$
15	Blake Hillman				X	100.00	73	68	85	56	68	52	55	44	25	34	39	59	37	44	44	49	50	53	0	25	1	925,000$
Rayé
1	Danil Yurtaykin (R)		X	X		100.00	69	61	89	71	61	60	62	55	50	60	46	59	44	44	44	56	50	56	0	24	1	925,000$

	MOYENNE D'ÉQUIPE					100.00	74	67	81	69	72	63	65	56	44	50	52	64	44	47	47	58	50	59

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Oscar Dansk	100.00	60	68	85	79	58	65	56	64	61	60	30	44	44	61	50	61	0
2	Casey DeSmith	100.00	57	68	85	66	55	61	51	60	56	55	30	48	48	58	50	58	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	59	68	85	73	57	63	54	62	59	58	30	46	46	60	50	60

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Troy Mann	38	56	61	38	57	47	50	CAN	48	2	700,000$

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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

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#	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	FO%	FOT	P/20	S3
1	Vitaly Abramov	Heat (CGY)	LW/RW	4	1	3	4	0	2	3	5	5	5	7	20.00%	0	94	23.50	1	2	3	3	26	0	12	28.57%	14	0.85	0
2	Nick Merkley	Heat (CGY)	C/RW	4	2	1	3	0	4	6	7	11	2	7	18.18%	0	83	20.82	2	1	3	3	24	1	7	83.33%	6	0.72	1
3	Tyrell Goulbourne	Heat (CGY)	LW/RW	4	0	2	2	-4	4	2	2	3	0	5	0.00%	1	63	15.88	0	1	1	1	8	0	5	28.57%	7	0.63	0
4	Taro Hirose	Heat (CGY)	LW	4	0	1	1	-6	0	6	13	8	4	6	0.00%	0	84	21.04	0	1	1	2	24	1	7	55.56%	9	0.24	0
5	Jake Bean	Heat (CGY)	D	4	0	1	1	-5	6	9	7	8	1	3	0.00%	4	97	24.36	0	1	1	5	29	0	9	0.00%	0	0.21	0
6	Rasmus Asplund	Flames	C/LW/RW	4	0	1	1	-5	2	5	12	9	6	10	0.00%	2	80	20.19	0	1	1	3	23	0	14	38.71%	62	0.25	0
7	Mathieu Olivier	Heat (CGY)	RW	4	1	0	1	-5	0	3	1	3	0	3	33.33%	2	54	13.67	1	0	1	1	4	0	0	50.00%	2	0.37	0
8	Brad Malone	Heat (CGY)	C/LW/RW	4	0	1	1	-1	2	1	8	13	3	5	0.00%	0	86	21.62	0	1	1	6	25	0	3	62.03%	79	0.23	0
9	Paul Carey	Heat (CGY)	C/LW	4	1	0	1	-3	8	6	11	11	1	10	9.09%	2	56	14.10	0	0	0	0	4	0	0	63.64%	11	0.35	0
10	Zach Trotman	Heat (CGY)	D	4	1	0	1	-2	8	4	3	9	5	4	11.11%	2	70	17.67	1	0	1	8	20	0	8	0.00%	0	0.28	0
11	Samuel Morin	Heat (CGY)	D	4	0	0	0	-2	2	5	0	0	0	2	0.00%	3	72	18.02	0	0	0	0	19	0	9	0.00%	0	0.00	0
12	Steven Santini	Heat (CGY)	D	4	0	0	0	-3	0	8	0	0	0	1	0.00%	5	54	13.56	0	0	0	0	0	0	0	0.00%	0	0.00	0
13	David Gustafsson	Heat (CGY)	C	4	0	0	0	-6	0	0	3	6	3	3	0.00%	2	76	19.24	0	0	0	1	21	0	6	40.00%	80	0.00	0
14	Travis Dermott	Flames	D	1	0	0	0	-1	0	2	1	5	0	1	0.00%	0	23	23.00	0	0	0	5	9	0	4	0.00%	0	0.00	0
15	Blake Hillman	Heat (CGY)	D	4	0	0	0	-3	4	2	0	1	0	0	0.00%	0	52	13.10	0	0	0	0	0	0	0	0.00%	0	0.00	0
Stats d'équipe Total ou en Moyenne				57	6	10	16	-46	42	62	73	92	30	67	6.52%	23	1050	18.42	5	8	13	38	243	2	89	47.78%	270	0.30	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	L	PCT	GAA	MP	GA	SA	ST	BG
1	Casey DeSmith	Heat (CGY)	4	4	0.827	3.65	214	13	75	4	0
2	Oscar Dansk	Heat (CGY)	2	0	0.800	5.00	24	2	10	0	4
Stats d'équipe Total ou en Moyenne			6	4	0.824	3.77	239	15	85	4	4

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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Blake Hillman	Heat (CGY)	D	25	1996-01-26	No	181 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Brad Malone	Heat (CGY)	C/LW/RW	32	1989-05-20	No	207 Lbs	6 ft2	No	No	No	2	Pro & Farm	650,000$	0$	0$	No	650,000$		Lien / Lien NHL
Casey DeSmith	Heat (CGY)	G	29	1991-08-12	No	181 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,150,000$	0$	0$	No			Lien / Lien NHL
Danil Yurtaykin	Heat (CGY)	LW/RW	24	1997-07-01	Yes	165 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
David Gustafsson	Heat (CGY)	C	21	2000-04-11	Yes	194 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Lien / Lien NHL
Jake Bean	Heat (CGY)	D	23	1998-06-09	No	187 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,363,333$	0$	0$	No	1,363,333$	1,363,333$	Lien / Lien NHL
Mathieu Olivier	Heat (CGY)	RW	24	1997-02-11	No	209 Lbs	6 ft2	No	No	No	1	Pro & Farm	730,000$	0$	0$	No			Lien / Lien NHL
Nick Merkley	Heat (CGY)	C/RW	24	1997-05-22	Yes	194 Lbs	5 ft10	No	No	No	3	Pro & Farm	1,075,833$	0$	0$	No	1,075,833$	1,075,833$	Lien
Oscar Dansk	Heat (CGY)	G	27	1994-02-28	No	195 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Paul Carey	Heat (CGY)	C/LW	32	1988-09-24	No	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,200,000$	0$	0$	No			Lien / Lien NHL
Rob O'Gara	Heat (CGY)	D	28	1993-07-06	No	215 Lbs	6 ft4	Yes	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Samuel Morin	Heat (CGY)	D	26	1995-07-12	Yes	203 Lbs	6 ft6	No	No	No	2	Pro & Farm	1,363,333$	0$	0$	No	1,363,333$		Lien
Stephen Johns	Heat (CGY)	D	29	1992-04-18	Yes	220 Lbs	6 ft4	No	No	No	2	Pro & Farm	2,400,000$	0$	0$	No	2,400,000$		Lien / Lien NHL
Steven Santini	Heat (CGY)	D	26	1995-03-07	No	205 Lbs	6 ft2	No	No	No	2	Pro & Farm	900,000$	0$	0$	No	900,000$		Lien / Lien NHL
Taro Hirose	Heat (CGY)	LW	25	1996-06-30	No	161 Lbs	5 ft10	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Tyrell Goulbourne	Heat (CGY)	LW/RW	27	1994-01-25	No	195 Lbs	5 ft11	No	No	No	2	Pro & Farm	773,333$	0$	0$	No	773,333$		Lien / Lien NHL
Vitaly Abramov	Heat (CGY)	LW/RW	23	1998-05-08	No	172 Lbs	5 ft9	No	No	No	3	Pro & Farm	880,000$	0$	0$	No	880,000$	880,000$	Lien / Lien NHL
Zach Trotman	Heat (CGY)	D	30	1990-08-26	No	217 Lbs	6 ft3	Yes	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
18	26.39	195 Lbs	6 ft1	1.94	1,033,935$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Vitaly Abramov	Brad Malone	Nick Merkley	40	0	0	5
2	Taro Hirose	David Gustafsson	Mathieu Olivier	30	0	0	5
3	Paul Carey		Tyrell Goulbourne	20	0	0	5
4	Vitaly Abramov		Taro Hirose	10	0	0	5

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jake Bean		40	0	0	5
2	Zach Trotman	Samuel Morin	30	0	0	5
3	Blake Hillman	Steven Santini	20	0	0	5
4	Jake Bean		10	0	0	5

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Vitaly Abramov	Brad Malone	Nick Merkley	60	0	0	5
2	Taro Hirose	David Gustafsson		40	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jake Bean		60	0	0	5
2	Zach Trotman	Samuel Morin	40	0	0	5

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Vitaly Abramov	60	0	5	0
2	Taro Hirose	Nick Merkley	40	0	5	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jake Bean		60	0	5	0
2	Zach Trotman	Samuel Morin	40	0	5	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	0	5	0	Jake Bean		60	0	5	0
2	Vitaly Abramov	40	0	5	0	Zach Trotman	Samuel Morin	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Brad Malone	Vitaly Abramov	60	0	0	5
2	Taro Hirose	Nick Merkley	40	0	0	5

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jake Bean		60	0	0	5
2	Zach Trotman	Samuel Morin	40	0	0	5

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
	Brad Malone	Nick Merkley	Jake Bean

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Vitaly Abramov	Brad Malone	Nick Merkley	Jake Bean

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brad Malone, Tyrell Goulbourne, David Gustafsson	Brad Malone, Tyrell Goulbourne	David Gustafsson

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Steven Santini, Samuel Morin		, Samuel Morin

Tirs de Pénalité
, Vitaly Abramov, Taro Hirose, Nick Merkley, David Gustafsson

Gardien
#1 : Casey DeSmith, #2 : Oscar Dansk

Lignes d'Attaque Perso. en Prol.
Brad Malone, Nick Merkley, Paul Carey, David Gustafsson, Vitaly Abramov, Tyrell Goulbourne, Tyrell Goulbourne, Mathieu Olivier, Taro Hirose, ,

Lignes de Défense Perso. en Prol.
, Samuel Morin, Jake Bean, Steven Santini, Zach Trotman

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	Condors	4	0	4	0	0	0	0	0	6	15	-9	2	0	2	0	0	0	0	0	2	5	-3	2	0	2	0	0	0	0	0	4	10	-6	0	0.000	6	10	16	0	0	1	2	3	0	92	29	34	29	0	85	24	42	62	32	5	15.63%	20	4	80.00%	0	58	115	50.43%	45	99	45.45%	26	57	45.61%	99	71	93	29	46	22
	Total	4	0	4	0	0	0	0	0	6	15	-9	2	0	2	0	0	0	0	0	2	5	-3	2	0	2	0	0	0	0	0	4	10	-6	0	0.000	6	10	16	0	0	1	2	3	0	92	29	34	29	0	85	24	42	62	32	5	15.63%	20	4	80.00%	0	58	115	50.43%	45	99	45.45%	26	57	45.61%	99	71	93	29	46	22
	_Since Last GM Reset	4	0	4	0	0	0	0	0	6	15	-9	2	0	2	0	0	0	0	0	2	5	-3	2	0	2	0	0	0	0	0	4	10	-6	0	0.000	6	10	16	0	0	1	2	3	0	92	29	34	29	0	85	24	42	62	32	5	15.63%	20	4	80.00%	0	58	115	50.43%	45	99	45.45%	26	57	45.61%	99	71	93	29	46	22
	_Vs Conference	4	0	4	0	0	0	0	0	6	15	-9	2	0	2	0	0	0	0	0	2	5	-3	2	0	2	0	0	0	0	0	4	10	-6	0	0.000	6	10	16	0	0	1	2	3	0	92	29	34	29	0	85	24	42	62	32	5	15.63%	20	4	80.00%	0	58	115	50.43%	45	99	45.45%	26	57	45.61%	99	71	93	29	46	22

			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	0	L4	6	10	16	92	85	24	42	62	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	6	15

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	2	5

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	4	10

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	4	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
32	5	15.63%	20	4	80.00%	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
29	34	29	0	1	2	3	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
58	115	50.43%	45	99	45.45%	26	57	45.61%

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
99	71	93	29	46	22

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
2 - 2020-10-25	6	Heat	3	Condors	5	L	Sommaire du Match
4 - 2020-10-27	14	Heat	1	Condors	5	L	Sommaire du Match
6 - 2020-10-29	22	Condors	2	Heat	1	L	Sommaire du Match
8 - 2020-10-31	30	Condors	3	Heat	1	L	Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	100	0
Assistance	2,117	2,000
Assistance PCT	52.93%	100.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
39	2059 - 68.62%	105,850$	211,700$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	1,861,082$	1,840,582$	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
2020	82	49	22	0	4	1	2	4	331	197	134	41	26	9	0	2	0	1	3	172	92	80	41	23	13	0	2	1	1	1	159	105	54	115	331	601	932	0	13	153	82	90	7	2226	715	739	753	36	1490	450	937	1714	327	57	17.43%	387	65	83.20%	7	1273	2258	56.38%	894	1926	46.42%	689	1267	54.38%	2425	1827	1602	498	932	506
Total Saison Régulière	82	49	22	0	4	1	2	4	331	197	134	41	26	9	0	2	0	1	3	172	92	80	41	23	13	0	2	1	1	1	159	105	54	115	331	601	932	0	13	153	82	90	7	2226	715	739	753	36	1490	450	937	1714	327	57	17.43%	387	65	83.20%	7	1273	2258	56.38%	894	1926	46.42%	689	1267	54.38%	2425	1827	1602	498	932	506
2020	4	0	4	0	0	0	0	0	6	15	-9	2	0	2	0	0	0	0	0	2	5	-3	2	0	2	0	0	0	0	0	4	10	-6	0	6	10	16	0	0	1	2	3	0	92	29	34	29	0	85	24	42	62	32	5	15.63%	20	4	80.00%	0	58	115	50.43%	45	99	45.45%	26	57	45.61%	99	71	93	29	46	22
Total Séries	4	0	4	0	0	0	0	0	6	15	-9	2	0	2	0	0	0	0	0	2	5	-3	2	0	2	0	0	0	0	0	4	10	-6	0	6	10	16	0	0	1	2	3	0	92	29	34	29	0	85	24	42	62	32	5	15.63%	20	4	80.00%	0	58	115	50.43%	45	99	45.45%	26	57	45.61%	99	71	93	29	46	22

	Heat
	GP: 4 \| W: 0 \| L: 4 GF: 6 \| GA: 15 \| PP%: 15.63% \| PK%: 80.00% DG: Alex \| Morale : 50 \| Moyenne d'Équipe : 59