LHSIR - Flames

Flames
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Points
Informations Joueurs
Lignes
Statistiques d'Équipe
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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	Adam Brooks	X				100.00	68	63	81	63	63	65	66	62	78	59	62	61	59	44	44	63	50	0	0
2	Alex Chiasson (C)		X	X		100.00	73	44	81	78	78	64	86	78	25	65	70	59	36	73	75	70	50	0	0
3	Brendan Perlini		X	X		100.00	67	43	91	84	79	57	71	65	25	58	56	61	75	64	64	62	50	0	0
4	Colin White (A)	X		X		100.00	71	52	81	81	67	70	84	76	77	71	60	58	53	64	64	66	50	0	0
5	Drake Batherson	X		X		100.00	87	75	83	77	71	70	90	76	54	75	64	57	25	47	47	69	50	0	0
6	Jacob de La Rose	X	X			100.00	89	46	93	77	79	57	72	60	62	62	56	78	25	64	65	65	50	0	0
7	Owen Tippett (R) (A)		X	X		100.00	81	78	88	67	78	66	67	66	50	62	66	68	63	44	44	68	50	0	0
8	Emil Bemstrom (R)	X				100.00	73	42	95	82	65	62	69	68	34	64	71	54	25	50	50	68	50	0	0
9	Jaret Anderson-Dolan (R)	X	X			100.00	72	67	83	79	67	63	64	59	74	59	54	62	51	44	44	61	50	0	0
10	Nic Petan	X	X	X		100.00	63	41	91	79	62	58	57	69	32	65	55	66	25	59	59	63	50	0	0
11	Riley Tufte (R)		X			100.00	85	88	78	61	88	62	65	51	50	51	46	66	44	44	44	56	50	0	0
12	Carson Soucy				X	100.00	78	45	89	64	79	67	78	59	25	50	54	78	25	59	60	63	49	0	0
13	Greg Pateryn				X	100.00	78	45	90	71	82	67	68	56	25	51	47	84	25	64	65	62	50	0	0
14	Parker Wotherspoon (R)				X	100.00	63	62	64	63	62	76	83	52	25	49	41	56	39	44	44	53	50	0	0
15	Chris Bigras				X	100.00	75	71	83	63	71	60	63	54	25	49	41	65	39	57	57	55	50	0	0
16	Madison Bowey				X	100.00	75	44	81	77	73	74	69	62	25	60	48	75	25	57	57	63	50	0	0
17	Haydn Fleury				X	100.00	76	45	93	72	82	62	64	58	25	56	50	72	75	58	59	62	50	0	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	75	56	85	73	73	65	72	63	42	59	55	66	42	55	55	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	Carter Hutton	100.00	65	73	72	76	72	58	57	65	63	65	71	64	65	65	50	0	0
2	Thatcher Demko	100.00	66	58	56	81	65	66	68	67	75	66	75	47	47	66	50	0	0
Rayé
1	Filip Gustavsson	100.00	50	57	71	72	47	52	50	55	50	50	30	44	44	51	44	0	0

	MOYENNE D'ÉQUIPE	100.00	60	63	66	76	61	59	58	62	63	60	59	52	52	61	48	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jeremy Colliton	77	76	89	86	51	48	90	CAN	37	3	1,750,000$

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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	FO%	FOT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Nic Petan	Flames (CGY)	C/LW/RW	8	1	6	7	4	2	0	5	11	12	5	11	8.33%	0	130	16.33	0	3	3	0	30	0	0	25.00%	8	1.07	0	0	0	0	0	0	0	1
2	Emil Bemstrom	Flames (CGY)	C	8	3	3	6	1	2	0	14	14	11	4	9	27.27%	0	126	15.80	0	2	2	0	26	0	0	33.94%	109	0.95	0	0	0	0	0	1	0	0
3	Alex Chiasson	Flames (CGY)	LW/RW	8	2	1	3	3	4	0	9	10	23	7	17	8.70%	0	159	19.95	0	0	0	5	30	0	1	25.00%	16	0.38	0	0	0	0	0	1	0	0
4	Brendan Perlini	Flames (CGY)	LW/RW	8	1	2	3	2	2	0	9	10	5	2	2	20.00%	2	146	18.27	0	0	0	0	24	18	1	42.86%	7	0.41	0	1	0	0	0	0	1	0
5	Colin White	Flames (CGY)	C/RW	8	1	2	3	0	4	0	2	11	10	5	11	10.00%	0	146	18.30	0	1	1	2	32	2	0	60.47%	129	0.41	0	1	0	0	0	0	1	0
6	Owen Tippett	Flames (CGY)	LW/RW	8	2	1	3	1	11	5	15	7	15	5	7	13.33%	0	166	20.87	1	0	1	2	31	32	1	50.00%	4	0.36	0	1	0	1	0	0	1	0
7	Madison Bowey	Flames (CGY)	D	8	0	3	3	2	6	0	11	9	5	2	4	0.00%	5	174	21.86	0	1	1	3	30	35	0	0.00%	0	0.34	0	0	0	0	0	0	0	1
8	Adam Brooks	Flames (CGY)	C	8	0	2	2	-3	2	0	7	11	10	6	5	0.00%	0	133	16.66	0	0	0	0	1	25	0	60.00%	60	0.30	0	1	0	0	0	0	0	0
9	Parker Wotherspoon	Flames (CGY)	D	8	2	0	2	-4	17	5	12	1	3	0	2	66.67%	9	145	18.17	2	0	2	3	10	19	0	0.00%	0	0.28	0	0	1	0	0	0	0	0
10	Riley Tufte	Flames (CGY)	LW	8	1	1	2	4	12	0	12	0	2	0	3	50.00%	0	74	9.37	0	0	0	0	5	22	0	50.00%	4	0.53	0	1	0	0	0	1	0	0
11	Haydn Fleury	Flames (CGY)	D	8	0	2	2	2	12	0	4	6	5	1	2	0.00%	5	159	20.00	0	0	0	3	30	29	0	0.00%	0	0.25	1	1	0	0	0	0	0	0
12	Carson Soucy	Flames (CGY)	D	5	0	1	1	0	2	0	9	1	1	0	1	0.00%	3	113	22.66	0	0	0	0	18	22	0	0.00%	0	0.18	0	0	0	0	0	0	0	0
13	Greg Pateryn	Flames (CGY)	D	8	0	1	1	-1	12	0	12	5	5	4	5	0.00%	13	180	22.59	0	0	0	3	30	28	0	0.00%	0	0.11	0	0	0	0	0	0	0	0
14	Jacob de La Rose	Flames (CGY)	C/LW	8	1	0	1	-3	4	0	8	25	10	3	9	10.00%	3	141	17.67	1	0	1	1	8	39	0	44.79%	163	0.14	0	0	0	0	0	0	0	1
15	Chris Bigras	Flames (CGY)	D	8	0	1	1	-5	32	10	11	7	1	0	1	0.00%	5	116	14.55	0	1	1	1	11	16	0	0.00%	0	0.17	0	0	1	0	1	0	0	0
16	Drake Batherson	Flames (CGY)	C/RW	1	0	0	0	1	2	0	2	0	0	0	2	0.00%	0	18	18.78	0	0	0	0	7	0	0	25.00%	4	0.00	0	0	0	0	0	0	0	0
17	Jaret Anderson-Dolan	Flames (CGY)	C/LW	8	0	0	0	-6	2	0	8	11	13	5	7	0.00%	0	116	14.52	0	0	0	2	7	11	0	53.33%	15	0.00	0	1	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				126	14	26	40	-2	128	20	150	139	131	49	98	10.69%	45	2251	17.87	4	8	12	25	336	303	3	47.40%	519	0.36	1	7	2	1	1	3	3	3

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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	GA	SA	PS %	PSA	ST	BG
1	Thatcher Demko	Flames (CGY)	3	2	1	0	0.896	1.67	180	5	48	0.000	0	3	5
2	Carter Hutton	Flames (CGY)	5	1	3	1	0.883	2.17	304	11	94	0.714	7	5	3
Stats d'équipe Total ou en Moyenne			8	3	4	1	0.887	1.98	484	16	142	0.714	7	8	8

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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
Adam Brooks	Flames (CGY)	C	24	1996-05-06	No	174 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	828,024$	450,000$	402,823$	0$	0$	No	925,000$		Lien
Alex Chiasson	Flames (CGY)	LW/RW	29	1990-10-01	No	208 Lbs	6 ft4	No	No	No	3	Pro & Farm	2,275,000$	2,036,492$	2,150,000$	1,924,597$	0$	0$	No	2,150,000$	2,150,000$	Lien
Brendan Perlini	Flames (CGY)	LW/RW	24	1996-04-27	No	212 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,999,999$	1,790,322$	1,999,999$	1,790,322$	0$	0$	No			Lien
Carson Soucy	Flames (CGY)	D	25	1994-07-27	No	208 Lbs	6 ft5	No	No	No	3	Pro & Farm	775,000$	693,750$	750,000$	671,371$	0$	0$	No	750,000$	750,000$	Lien
Carter Hutton	Flames (CGY)	G	34	1985-12-18	No	202 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,750,000$	2,461,694$	2,750,000$	2,461,694$	0$	0$	No			Lien
Chris Bigras	Flames (CGY)	D	25	1995-02-22	No	190 Lbs	6 ft1	No	No	No	3	Pro & Farm	700,000$	626,613$	700,000$	626,613$	0$	0$	No	700,000$	700,000$	Lien
Colin White	Flames (CGY)	C/RW	23	1997-01-30	No	183 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	671,371$	750,000$	671,371$	0$	0$	No			Lien
Drake Batherson	Flames (CGY)	C/RW	22	1998-04-26	No	187 Lbs	6 ft1	No	No	No	2	Pro & Farm	773,333$	692,258$	773,333$	692,258$	0$	0$	No	773,333$		Lien
Emil Bemstrom	Flames (CGY)	C	21	1999-06-01	Yes	181 Lbs	5 ft10	No	No	No	3	Pro & Farm	2,133,333$	1,909,677$	1,633,333$	1,462,096$	0$	0$	No	1,633,333$	1,633,333$	Lien
Filip Gustavsson	Flames (CGY)	G	22	1998-06-07	No	184 Lbs	6 ft2	No	No	No	2	Pro & Farm	910,833$	815,342$	450,000$	402,823$	0$	0$	No	910,833$		Lien
Greg Pateryn	Flames (CGY)	D	30	1990-06-20	No	224 Lbs	6 ft3	No	No	No	1	Pro & Farm	800,000$	716,129$	800,000$	716,129$	0$	0$	No			Lien
Haydn Fleury	Flames (CGY)	D	23	1996-07-08	No	221 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,713,333$	1,533,709$	1,713,333$	1,533,709$	0$	0$	No	1,713,333$		Lien
Jacob de La Rose	Flames (CGY)	C/LW	25	1995-05-19	No	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	671,371$	750,000$	671,371$	0$	0$	No			Lien
Jaret Anderson-Dolan	Flames (CGY)	C/LW	20	1999-09-11	Yes	188 Lbs	5 ft11	No	No	No	3	Pro & Farm	913,333$	817,580$	913,333$	817,580$	0$	0$	No	913,333$	913,333$
Madison Bowey	Flames (CGY)	D	25	1995-04-22	No	198 Lbs	6 ft2	No	No	No	1	Pro & Farm	902,500$	807,883$	902,500$	807,883$	0$	0$	No			Lien
Nic Petan	Flames (CGY)	C/LW/RW	25	1995-03-21	No	179 Lbs	5 ft9	No	No	No	1	Pro & Farm	500,000$	447,581$	500,000$	447,581$	0$	0$	No			Lien
Owen Tippett	Flames (CGY)	LW/RW	21	1999-02-15	Yes	216 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,627,500$	1,456,875$	450,000$	402,823$	0$	0$	No			Lien
Parker Wotherspoon	Flames (CGY)	D	22	1997-08-24	Yes	168 Lbs	6 ft0	No	No	No	3	Pro & Farm	854,722$	765,114$	854,722$	765,114$	0$	0$	No	854,722$	854,722$
Riley Tufte	Flames (CGY)	LW	22	1998-04-09	Yes	230 Lbs	6 ft6	No	No	No	3	Pro & Farm	995,833$	891,431$	995,833$	891,431$	0$	0$	No	995,833$	995,833$
Thatcher Demko	Flames (CGY)	G	24	1995-12-07	No	192 Lbs	6 ft4	No	No	No	3	Pro & Farm	1,050,000$	939,919$	1,050,000$	939,919$	0$	0$	No	1,050,000$	1,050,000$	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	24.30	198 Lbs	6 ft2	2.00	1,204,986$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Owen Tippett	Colin White	Drake Batherson	35	1	2	2
2	Nic Petan	Emil Bemstrom	Alex Chiasson	30	1	2	2
3	Jaret Anderson-Dolan	Jacob de La Rose	Brendan Perlini	25	1	2	2
4	Riley Tufte	Adam Brooks	Alex Chiasson	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Carson Soucy	Greg Pateryn	35	1	2	2
2	Madison Bowey	Haydn Fleury	30	1	2	2
3	Chris Bigras	Parker Wotherspoon	25	1	2	2
4	Carson Soucy	Greg Pateryn	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Owen Tippett	Colin White	Drake Batherson	60	1	2	2
2	Nic Petan	Emil Bemstrom	Alex Chiasson	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Carson Soucy	Greg Pateryn	60	1	2	2
2	Madison Bowey	Haydn Fleury	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jacob de La Rose	Owen Tippett	60	1	2	2
2	Adam Brooks	Riley Tufte	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Carson Soucy	Greg Pateryn	60	1	2	2
2	Madison Bowey	Haydn Fleury	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob de La Rose	60	1	2	2	Carson Soucy	Greg Pateryn	60	1	2	2
2	Adam Brooks	40	1	2	2	Madison Bowey	Haydn Fleury	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Colin White	Owen Tippett	60	1	2	2
2	Jacob de La Rose	Drake Batherson	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Haydn Fleury	Greg Pateryn	60	1	2	2
2	Madison Bowey	Carson Soucy	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Owen Tippett	Colin White	Drake Batherson	Carson Soucy	Greg Pateryn

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Riley Tufte	Jacob de La Rose	Brendan Perlini	Carson Soucy	Greg Pateryn

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jaret Anderson-Dolan, Riley Tufte, Brendan Perlini	Jaret Anderson-Dolan, Riley Tufte	Brendan Perlini

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Chris Bigras, Parker Wotherspoon, Madison Bowey	Chris Bigras	Parker Wotherspoon, Madison Bowey

Tirs de Pénalité
Brendan Perlini, Owen Tippett, Haydn Fleury, Colin White, Jaret Anderson-Dolan

Gardien
#1 : Thatcher Demko, #2 : Carter Hutton

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	Condors	2	1	1	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	0	2	-2	1	1	0	0	0	0	0	0	4	1	3	2	0.500	4	8	12	0	0	5	4	5	1	39	36	51	41	10	26	7	35	40	13	1	7.69%	9	0	100.00%	0	89	199	44.72%	104	211	49.29%	53	109	48.62%	186	126	198	60	99	47
2	Monarchs	2	1	1	0	0	0	0	0	4	4	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	2	1	1	2	0.500	4	7	11	0	0	5	4	5	1	31	36	51	41	10	39	21	31	44	7	2	28.57%	13	4	69.23%	0	89	199	44.72%	104	211	49.29%	53	109	48.62%	186	126	198	60	99	47
3	Moose	1	0	0	0	0	0	0	1	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	2	-1	1	0.500	1	2	3	0	0	5	4	5	1	17	36	51	41	10	18	5	18	15	5	1	20.00%	9	0	100.00%	0	89	199	44.72%	104	211	49.29%	53	109	48.62%	186	126	198	60	99	47
4	Sharks	3	1	2	0	0	0	0	0	5	8	-3	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	0	3	-3	2	0.333	5	9	14	0	0	5	4	5	1	44	36	51	41	10	59	12	46	53	15	0	0.00%	17	2	88.24%	0	89	199	44.72%	104	211	49.29%	53	109	48.62%	186	126	198	60	99	47
	Total	8	3	4	0	0	0	0	1	14	17	-3	4	1	3	0	0	0	0	0	7	10	-3	4	2	1	0	0	0	0	1	7	7	0	7	0.438	14	26	40	0	0	5	4	5	1	131	36	51	41	10	142	45	130	152	40	4	10.00%	48	6	87.50%	0	89	199	44.72%	104	211	49.29%	53	109	48.62%	186	126	198	60	99	47
	_Since Last GM Reset	8	3	4	0	0	0	0	1	14	17	-3	4	1	3	0	0	0	0	0	7	10	-3	4	2	1	0	0	0	0	1	7	7	0	7	0.438	14	26	40	0	0	5	4	5	1	131	36	51	41	10	142	45	130	152	40	4	10.00%	48	6	87.50%	0	89	199	44.72%	104	211	49.29%	53	109	48.62%	186	126	198	60	99	47

			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
8	7	W2	14	26	40	131	142	45	130	152	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	3	4	0	0	0	1	14	17

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	7	10

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	1	0	0	0	1	7	7

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	4	0	0	0	1

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
40	4	10.00%	48	6	87.50%	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
36	51	41	10	5	4	5	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
89	199	44.72%	104	211	49.29%	53	109	48.62%

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
186	126	198	60	99	47

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	Lien
1 - 2020-09-27	2	Flames	1	Moose	2	L	X	X	Sommaire du Match
2 - 2020-09-28	12	Flames	0	Sharks	3	L			Sommaire du Match
3 - 2020-09-29	22	Monarchs	3	Flames	2	L			Sommaire du Match
4 - 2020-09-30	32	Flames	4	Condors	1	W			Sommaire du Match
6 - 2020-10-02	45	Sharks	3	Flames	1	L			Sommaire du Match
8 - 2020-10-04	59	Condors	2	Flames	0	L			Sommaire du Match
10 - 2020-10-06	67	Flames	2	Monarchs	1	W			Sommaire du Match
12 - 2020-10-08	80	Sharks	2	Flames	4	W			Sommaire du Match
14 - 2020-10-10	96	Rampage	-	Flames	-
16 - 2020-10-12	100	Flames	-	Monarchs	-
18 - 2020-10-14	117	Admirals	-	Flames	-
20 - 2020-10-16	123	Flames	-	Sharks	-
21 - 2020-10-17	131	Flames	-	Admirals	-
23 - 2020-10-19	147	Moose	-	Flames	-
24 - 2020-10-20	160	Flames	-	Moose	-
26 - 2020-10-22	172	Wolf Pack	-	Flames	-
27 - 2020-10-23	182	Monsters	-	Flames	-
28 - 2020-10-24	193	Flames	-	Condors	-
30 - 2020-10-26	201	Flames	-	Soldiers	-
32 - 2020-10-28	210	Admirals	-	Flames	-
34 - 2020-10-30	220	Flames	-	Wolves	-
36 - 2020-11-01	232	Wolf Pack	-	Flames	-
38 - 2020-11-03	247	Flames	-	Sharks	-
40 - 2020-11-05	254	Flames	-	Condors	-
42 - 2020-11-07	265	Admirals	-	Flames	-
44 - 2020-11-09	279	Monarchs	-	Flames	-
45 - 2020-11-10	293	Bruins	-	Flames	-
46 - 2020-11-11	300	Flames	-	Admirals	-
47 - 2020-11-12	306	Flames	-	Sharks	-
49 - 2020-11-14	320	Flames	-	IceHogs	-
50 - 2020-11-15	326	Stars	-	Flames	-
51 - 2020-11-16	341	Senators	-	Flames	-
52 - 2020-11-17	351	Flames	-	Soldiers	-
54 - 2020-11-19	361	Flames	-	Penguins	-
55 - 2020-11-20	371	Monarchs	-	Flames	-
56 - 2020-11-21	387	Condors	-	Flames	-
57 - 2020-11-22	394	Flames	-	Moose	-
58 - 2020-11-23	406	Flames	-	Moose	-
60 - 2020-11-25	416	Moose	-	Flames	-
62 - 2020-11-27	431	Phantoms	-	Flames	-
63 - 2020-11-28	442	Flames	-	Wolves	-
64 - 2020-11-29	451	Flames	-	Griffins	-
65 - 2020-11-30	458	Flames	-	Monarchs	-
67 - 2020-12-02	468	Griffins	-	Flames	-
68 - 2020-12-03	483	Rampage	-	Flames	-
70 - 2020-12-05	494	Flames	-	Crunch	-
71 - 2020-12-06	504	Flames	-	Sound Tigers	-
72 - 2020-12-07	509	Wolf Pack	-	Flames	-
74 - 2020-12-09	526	Flames	-	Sharks	-
75 - 2020-12-10	531	Moose	-	Flames	-
77 - 2020-12-12	548	Moose	-	Flames	-
78 - 2020-12-13	555	Flames	-	Monsters	-
79 - 2020-12-14	568	Marlies	-	Flames	-
80 - 2020-12-15	579	Flames	-	Marlies	-
82 - 2020-12-17	587	Crunch	-	Flames	-
84 - 2020-12-19	600	Flames	-	Rocket	-
86 - 2020-12-21	611	Admirals	-	Flames	-
87 - 2020-12-22	624	Flames	-	Phantoms	-
88 - 2020-12-23	634	Monsters	-	Flames	-
91 - 2020-12-26	648	Flames	-	Wolf Pack	-
92 - 2020-12-27	656	Soldiers	-	Flames	-
93 - 2020-12-28	670	Flames	-	Monarchs	-
94 - 2020-12-29	679	Monarchs	-	Flames	-
95 - 2020-12-30	687	Flames	-	Admirals	-
96 - 2020-12-31	700	Flames	-	Senators	-
97 - 2021-01-01	704	Wolves	-	Flames	-
99 - 2021-01-03	721	Rocket	-	Flames	-
100 - 2021-01-04	732	Flames	-	Condors	-
102 - 2021-01-06	742	Flames	-	Admirals	-
103 - 2021-01-07	750	IceHogs	-	Flames	-
104 - 2021-01-08	766	Stars	-	Flames	-
105 - 2021-01-09	774	Flames	-	Stars	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
107 - 2021-01-11	789	Sound Tigers	-	Flames	-
109 - 2021-01-13	801	Flames	-	IceHogs	-
110 - 2021-01-14	810	Penguins	-	Flames	-
112 - 2021-01-16	825	Sharks	-	Flames	-
113 - 2021-01-17	831	Flames	-	Monarchs	-
115 - 2021-01-19	847	Flames	-	Bruins	-
116 - 2021-01-20	856	Sharks	-	Flames	-
118 - 2021-01-22	872	Condors	-	Flames	-
119 - 2021-01-23	879	Flames	-	Rampage	-
121 - 2021-01-25	892	Condors	-	Flames	-

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
37	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
423,824$	2,409,970$	2,133,637$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	240,362$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	111	33,548$	3,723,828$

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	8	3	4	0	0	0	0	1	14	17	-3	4	1	3	0	0	0	0	0	7	10	-3	4	2	1	0	0	0	0	1	7	7	0	7	14	26	40	0	0	5	4	5	1	131	36	51	41	10	142	45	130	152	40	4	10.00%	48	6	87.50%	0	89	199	44.72%	104	211	49.29%	53	109	48.62%	186	126	198	60	99	47
Total Saison Régulière	8	3	4	0	0	0	0	1	14	17	-3	4	1	3	0	0	0	0	0	7	10	-3	4	2	1	0	0	0	0	1	7	7	0	7	14	26	40	0	0	5	4	5	1	131	36	51	41	10	142	45	130	152	40	4	10.00%	48	6	87.50%	0	89	199	44.72%	104	211	49.29%	53	109	48.62%	186	126	198	60	99	47