PIFFPACK - Reigh

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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	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Matt Nieto		X		100.00	65	36	91	65	70	75	77	64	54	72	58	84	61	73	68	61	66	71	0
2	Calle Jarnkrok	X			99.00	63	36	91	65	70	79	92	64	73	67	63	77	66	75	69	64	66	70	0
3	Noel Acciari	X			100.00	94	57	74	62	71	73	85	61	74	60	59	77	58	75	70	36	62	69	0
4	Sammy Blais		X		100.00	80	40	78	66	81	72	62	64	59	63	62	61	56	65	63	56	66	69	0
5	Brandon Manning			X	96.00	82	57	74	63	78	77	52	62	30	60	59	68	61	77	69	36	66	68	0
Rayé
1	Andrew Copp	X			94.00	73	35	93	66	79	71	82	65	74	67	66	80	64	69	67	59	63	71	0
2	Blake Comeau		X		95.00	91	40	78	64	77	80	90	63	57	62	61	76	60	82	75	43	62	70	0

	MOYENNE D'ÉQUIPE				97.71	78	43	83	64	75	75	77	63	60	64	61	75	61	74	69	51	64	70

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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
Rayé

	MOYENNE D'ÉQUIPE	0.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dominique Ducharme	73	72	70	68	69	64	79	CAN	46	2	650,000$

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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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	S1	S2	S3
1	Andrew Copp	Reigh (LA.)	C	15	25	26	51	3	0	13	23	114	44	56	21.93%	5	365	24.39	11	15	26	20	40	0	0	0	1	41	0	0	70.80%	411	14	7	3	2.79	5	4	2
2	Blake Comeau	Reigh (LA.)	LW	16	18	25	43	0	12	36	12	123	39	67	14.63%	14	380	23.80	10	15	25	22	43	1	0	1	1	29	3	0	33.33%	21	25	12	2	2.26	4	3	1
3	Matt Nieto	Reigh (LA.)	LW	18	18	19	37	10	2	11	12	97	30	69	18.56%	10	337	18.75	7	6	13	12	34	0	1	1	1	24	3	0	37.50%	16	19	16	1	2.19	2	2	1
4	Calle Jarnkrok	Reigh (LA.)	C	18	13	23	36	12	0	14	22	100	45	67	13.00%	3	384	21.34	2	10	12	7	35	0	0	0	3	55	2	1	71.13%	291	22	15	0	1.87	0	2	5
5	Sammy Blais	Reigh (LA.)	LW	18	18	16	34	22	18	14	10	106	23	76	16.98%	5	253	14.10	1	2	3	1	6	0	0	0	0	13	3	1	70.59%	17	16	7	0	2.68	3	1	3
6	Brandon Manning	Reigh (LA.)	D	18	6	25	31	9	30	23	16	65	27	30	9.23%	22	487	27.09	6	9	15	11	58	0	0	0	1	40	1	0	0.00%	0	16	25	1	1.27	1	0	0
7	Noel Acciari	Reigh (LA.)	C	18	12	18	30	20	8	8	13	80	25	51	15.00%	8	243	13.51	2	1	3	4	4	0	0	0	2	21	0	1	73.60%	197	9	5	0	2.47	0	2	3
Stats d'équipe Total ou en Moyenne				121	110	152	262	76	70	119	108	685	233	416	16.06%	67	2452	20.27	39	58	97	77	221	1	1	2	9	226	12	3	70.09%	953	121	87	7	2.14	15	14	15

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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
Stats d'équipe Total ou en Moyenne							0.000	0.00	0								0.000

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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	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
Andrew Copp (Sur la Masse Salariale)	Reigh (LA.)	C	23	1994-07-08	No	206 Lbs	6 ft1	No	No	No	2	Contrat d'Entrée	Pro & Farm	2,280,000$	0$	0$	No	Lien
Blake Comeau (Sur la Masse Salariale)	Reigh (LA.)	LW	31	1986-02-18	No	200 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	1,465,500$	0$	0$	No	Lien
Brandon Manning	Reigh (LA.)	D	27	1990-06-04	No	205 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	2,250,000$	0$	0$	No	Lien
Calle Jarnkrok	Reigh (LA.)	C	26	1991-09-25	No	186 Lbs	5 ft11	No	No	No	3	Contrat d'Entrée	Pro & Farm	2,000,000$	0$	0$	No	Lien
Matt Nieto	Reigh (LA.)	LW	24	1992-11-05	No	190 Lbs	5 ft11	No	No	No	1	Contrat d'Entrée	Pro & Farm	1,975,000$	0$	0$	No	Lien
Noel Acciari	Reigh (LA.)	C	25	1991-12-01	No	205 Lbs	5 ft10	No	No	No	3	Contrat d'Entrée	Pro & Farm	750,000$	0$	0$	No	Lien
Sammy Blais	Reigh (LA.)	LW	21	1996-06-17	No	205 Lbs	6 ft2	No	No	No	1	Contrat d'Entrée	Pro & Farm	850,000$	0$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
7	25.29	200 Lbs	6 ft0	1.86	1,652,929$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				40	1	2	2
2	Matt Nieto	Calle Jarnkrok		30	1	2	2
3	Sammy Blais	Noel Acciari		20	1	2	2
4	Calle Jarnkrok			10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brandon Manning		40	1	2	2
2			30	1	2	2
3			20	1	2	2
4	Brandon Manning	Matt Nieto	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				60	1	2	2
2	Matt Nieto	Calle Jarnkrok		40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brandon Manning		60	1	2	2
2			40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Calle Jarnkrok	60	1	2	2
2		Matt Nieto	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brandon Manning		60	1	2	2
2			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	Brandon Manning		60	1	2	2
2	Calle Jarnkrok	40	1	2	2			40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Calle Jarnkrok	60	1	2	2
2		Matt Nieto	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brandon Manning		60	1	2	2
2			40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
			Brandon Manning

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
			Brandon Manning

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Sammy Blais, Noel Acciari,	Sammy Blais, Noel Acciari

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brandon Manning, ,	Brandon Manning	,

Tirs de Pénalité
, Calle Jarnkrok, , Matt Nieto, Sammy Blais

Gardien
#1 : , #2 :

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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Astuces sur les Filtres (Anglais seulement)

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Admirals	2	2	0	0	0	0	0	0	15	9	6	1	1	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	6	4	2	4	1.000	15	24	39	0	0	39	69	81	1	96	361	365	377	3	47	11	14	23	9	7	77.78%	7	4	42.86%	0	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
2	Barracuda	2	2	0	0	0	0	0	0	15	8	7	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	9	5	4	4	1.000	15	28	43	0	0	39	69	81	1	36	361	365	377	3	46	16	10	30	9	5	55.56%	5	3	40.00%	0	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
3	Blacknight	3	1	1	0	1	0	0	0	16	20	-4	2	1	1	0	0	0	0	0	11	16	-5	1	0	0	0	1	0	0	0	5	4	1	4	0.667	16	31	47	0	0	39	69	81	1	105	361	365	377	3	101	24	38	33	16	5	31.25%	19	7	63.16%	0	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
4	Bruins	2	1	0	0	0	1	0	0	15	9	6	1	0	0	0	0	1	0	0	5	6	-1	1	1	0	0	0	0	0	0	10	3	7	3	0.750	15	20	35	0	0	39	69	81	1	93	361	365	377	3	37	17	20	18	9	6	66.67%	10	2	80.00%	1	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
5	Condors	3	0	3	0	0	0	0	0	5	13	-8	2	0	2	0	0	0	0	0	4	11	-7	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	5	7	12	0	0	39	69	81	1	55	361	365	377	3	66	19	22	28	9	2	22.22%	11	3	72.73%	1	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
6	Crunch	1	1	0	0	0	0	0	0	7	6	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	6	1	2	1.000	7	11	18	0	0	39	69	81	1	42	361	365	377	3	30	6	12	13	6	3	50.00%	6	4	33.33%	0	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
7	Devils	1	1	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	9	5	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	9	12	21	0	0	39	69	81	1	37	361	365	377	3	24	8	10	8	9	4	44.44%	5	2	60.00%	0	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
8	Gulls	4	1	3	0	0	0	0	0	19	27	-8	1	0	1	0	0	0	0	0	3	5	-2	3	1	2	0	0	0	0	0	16	22	-6	2	0.250	19	37	56	0	0	39	69	81	1	95	361	365	377	3	89	27	48	51	14	5	35.71%	24	14	41.67%	1	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
9	Heat	3	1	2	0	0	0	0	0	13	26	-13	1	0	1	0	0	0	0	0	3	9	-6	2	1	1	0	0	0	0	0	10	17	-7	2	0.333	13	23	36	0	0	39	69	81	1	86	361	365	377	3	122	47	42	33	14	5	35.71%	20	14	30.00%	1	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
10	Icedogs	3	3	0	0	0	0	0	0	28	10	18	2	2	0	0	0	0	0	0	23	7	16	1	1	0	0	0	0	0	0	5	3	2	6	1.000	28	45	73	0	0	39	69	81	1	145	361	365	377	3	64	15	8	38	12	8	66.67%	4	1	75.00%	0	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
11	Moose	3	1	2	0	0	0	0	0	16	18	-2	1	0	1	0	0	0	0	0	3	5	-2	2	1	1	0	0	0	0	0	13	13	0	2	0.333	16	28	44	0	0	39	69	81	1	132	361	365	377	3	97	21	32	40	14	4	28.57%	16	5	68.75%	0	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
12	Penguins	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	7	11	0	0	39	69	81	1	27	361	365	377	3	24	10	12	9	2	1	50.00%	6	2	66.67%	1	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
13	Phantoms	1	1	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	9	5	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	9	15	24	0	0	39	69	81	1	44	361	365	377	3	24	11	15	12	3	1	33.33%	6	4	33.33%	0	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
14	Rampages	1	0	1	0	0	0	0	0	3	8	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	8	-5	0	0.000	3	4	7	0	0	39	69	81	1	28	361	365	377	3	38	19	10	14	2	1	50.00%	5	2	60.00%	0	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
15	Senateurs	1	1	0	0	0	0	0	0	7	5	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	5	2	2	1.000	7	11	18	0	0	39	69	81	1	40	361	365	377	3	25	14	10	16	3	3	100.00%	5	2	60.00%	0	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
16	Thunderbird	1	1	0	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	9	7	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	9	13	22	0	0	39	69	81	1	45	361	365	377	3	42	13	14	14	3	3	100.00%	7	2	71.43%	0	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
	Total	32	17	13	0	1	1	0	0	190	181	9	16	8	7	0	0	1	0	0	98	89	9	16	9	6	0	1	0	0	0	92	92	0	37	0.578	190	316	506	0	0	39	69	81	1	1106	361	365	377	3	876	278	317	380	134	63	47.01%	156	71	54.49%	5	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
	_Since Last GM Reset	32	17	13	0	1	1	0	0	190	181	9	16	8	7	0	0	1	0	0	98	89	9	16	9	6	0	1	0	0	0	92	92	0	37	0.578	190	316	506	0	0	39	69	81	1	1106	361	365	377	3	876	278	317	380	134	63	47.01%	156	71	54.49%	5	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
	_Vs Conference	24	11	12	0	1	0	0	0	130	139	-9	11	5	6	0	0	0	0	0	62	61	1	13	6	6	0	1	0	0	0	68	78	-10	24	0.500	130	227	357	0	0	39	69	81	1	778	361	365	377	3	670	199	224	290	99	42	42.42%	111	53	52.25%	3	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
	_Vs Division	15	5	9	0	1	0	0	0	68	94	-26	7	2	5	0	0	0	0	0	27	44	-17	8	3	4	0	1	0	0	0	41	50	-9	12	0.400	68	126	194	0	0	39	69	81	1	377	361	365	377	3	424	133	160	175	62	22	35.48%	79	41	48.10%	3	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264

			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
32	37	W6	190	316	506	1106	876	278	317	380	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	17	13	1	1	0	0	190	181

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	8	7	0	1	0	0	98	89

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	9	6	1	0	0	0	92	92

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
8	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
134	63	47.01%	156	71	54.49%	5

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
361	365	377	3	39	69	81	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
347	588	59.01%	263	481	54.68%	457	749	61.01%

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
760	473	647	265	516	264

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
3 - 2019-10-06	12	Barracuda	3	Reigh	6	W		Sommaire du Match
4 - 2019-10-07	18	Reigh	4	Gulls	5	L		Sommaire du Match
7 - 2019-10-10	36	Blacknight	9	Reigh	1	L		Sommaire du Match
10 - 2019-10-13	52	Heat	9	Reigh	3	L		Sommaire du Match
12 - 2019-10-15	61	Reigh	1	Condors	2	L		Sommaire du Match
13 - 2019-10-16	68	Reigh	5	Icedogs	3	W		Sommaire du Match
15 - 2019-10-18	80	Reigh	5	Gulls	11	L		Sommaire du Match
17 - 2019-10-20	91	Gulls	5	Reigh	3	L		Sommaire du Match
19 - 2019-10-22	105	Condors	5	Reigh	3	L		Sommaire du Match
20 - 2019-10-23	114	Reigh	9	Barracuda	5	W		Sommaire du Match
23 - 2019-10-26	124	Reigh	5	Blacknight	4	W	X	Sommaire du Match
25 - 2019-10-28	138	Penguins	5	Reigh	4	L		Sommaire du Match
27 - 2019-10-30	153	Condors	6	Reigh	1	L		Sommaire du Match
30 - 2019-11-02	164	Reigh	2	Heat	13	L		Sommaire du Match
33 - 2019-11-05	179	Icedogs	3	Reigh	10	W		Sommaire du Match
35 - 2019-11-07	190	Reigh	3	Rampages	8	L		Sommaire du Match
37 - 2019-11-09	200	Reigh	6	Admirals	4	W		Sommaire du Match
39 - 2019-11-11	208	Thunderbird	7	Reigh	9	W		Sommaire du Match
41 - 2019-11-13	224	Bruins	6	Reigh	5	L	X	Sommaire du Match
46 - 2019-11-18	245	Admirals	5	Reigh	9	W		Sommaire du Match
48 - 2019-11-20	259	Reigh	7	Gulls	6	W		Sommaire du Match
50 - 2019-11-22	268	Devils	5	Reigh	9	W		Sommaire du Match
52 - 2019-11-24	282	Reigh	7	Senateurs	5	W		Sommaire du Match
54 - 2019-11-26	291	Reigh	7	Crunch	6	W		Sommaire du Match
56 - 2019-11-28	299	Moose	5	Reigh	3	L		Sommaire du Match
58 - 2019-11-30	315	Reigh	5	Moose	8	L		Sommaire du Match
60 - 2019-12-02	324	Icedogs	4	Reigh	13	W		Sommaire du Match
62 - 2019-12-04	332	Reigh	8	Heat	4	W		Sommaire du Match
64 - 2019-12-06	343	Reigh	10	Bruins	3	W		Sommaire du Match
65 - 2019-12-07	353	Phantoms	5	Reigh	9	W		Sommaire du Match
68 - 2019-12-10	366	Reigh	8	Moose	5	W		Sommaire du Match
70 - 2019-12-12	375	Blacknight	7	Reigh	10	W		Sommaire du Match
73 - 2019-12-15	391	Monsters	-	Reigh	-
75 - 2019-12-17	404	Reigh	-	Phantoms	-
77 - 2019-12-19	408	Reigh	-	Wolves	-
79 - 2019-12-21	419	Blacknight	-	Reigh	-
81 - 2019-12-23	433	Reigh	-	Thunderbird	-
82 - 2019-12-24	443	Wolves	-	Reigh	-
84 - 2019-12-26	457	Reigh	-	Bears	-
86 - 2019-12-28	468	Heat	-	Reigh	-
89 - 2019-12-31	485	Reigh	-	Marlies	-
92 - 2020-01-03	496	Sound Tigers	-	Reigh	-
95 - 2020-01-06	512	Reigh	-	Icedogs	-
97 - 2020-01-08	519	Admirals	-	Reigh	-
99 - 2020-01-10	532	Reigh	-	Rampages	-
101 - 2020-01-12	539	Gulls	-	Reigh	-
103 - 2020-01-14	546	Reigh	-	Condors	-
105 - 2020-01-16	560	Reigh	-	Barracuda	-
106 - 2020-01-17	568	Rocket	-	Reigh	-
109 - 2020-01-20	584	Reigh	-	Condors	-
111 - 2020-01-22	593	Rampages	-	Reigh	-
113 - 2020-01-24	605	Reigh	-	Blacknight	-
117 - 2020-01-28	618	Condors	-	Reigh	-
120 - 2020-01-31	635	Gulls	-	Reigh	-
121 - 2020-02-01	645	Reigh	-	Heat	-
124 - 2020-02-04	660	Wolves	-	Reigh	-
125 - 2020-02-05	669	Reigh	-	Sound Tigers	-
127 - 2020-02-07	678	Reigh	-	Blacknight	-
130 - 2020-02-10	692	Penguins	-	Reigh	-
132 - 2020-02-12	705	Reigh	-	Penguins	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
134 - 2020-02-14	716	Moose	-	Reigh	-
136 - 2020-02-16	729	Reigh	-	Barracuda	-
138 - 2020-02-18	737	Reigh	-	Gulls	-
139 - 2020-02-19	742	Barracuda	-	Reigh	-
143 - 2020-02-23	756	Reigh	-	Senateurs	-
144 - 2020-02-24	765	Stars	-	Reigh	-
148 - 2020-02-28	786	Crunch	-	Reigh	-
152 - 2020-03-03	806	Reigh	-	Devils	-
153 - 2020-03-04	812	Rampages	-	Reigh	-
156 - 2020-03-07	823	Reigh	-	Stars	-
157 - 2020-03-08	830	Reigh	-	Admirals	-
159 - 2020-03-10	839	Stars	-	Reigh	-
161 - 2020-03-12	850	Reigh	-	Stars	-
164 - 2020-03-15	859	Reigh	-	Monsters	-
165 - 2020-03-16	864	Barracuda	-	Reigh	-
168 - 2020-03-19	879	Reigh	-	Wolves	-
169 - 2020-03-20	887	Senateurs	-	Reigh	-
173 - 2020-03-24	910	Bears	-	Reigh	-
177 - 2020-03-28	931	Heat	-	Reigh	-
181 - 2020-04-01	950	Bears	-	Reigh	-
184 - 2020-04-04	961	Reigh	-	Rocket	-
189 - 2020-04-09	975	Marlies	-	Reigh	-

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
25	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
659,242$	929,050$	929,050$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	417,628$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	120	8,267$	992,040$

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
3	32	17	13	0	1	1	0	0	190	181	9	16	8	7	0	0	1	0	0	98	89	9	16	9	6	0	1	0	0	0	92	92	0	37	190	316	506	0	0	39	69	81	1	1106	361	365	377	3	876	278	317	380	134	63	47.01%	156	71	54.49%	5	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
Total Saison Régulière	32	17	13	0	1	1	0	0	190	181	9	16	8	7	0	0	1	0	0	98	89	9	16	9	6	0	1	0	0	0	92	92	0	37	190	316	506	0	0	39	69	81	1	1106	361	365	377	3	876	278	317	380	134	63	47.01%	156	71	54.49%	5	347	588	59.01%	263	481	54.68%	457	749	61.01%	760	473	647	265	516	264
Séries
2	4	0	4	0	0	0	0	0	10	31	-21	2	0	2	0	0	0	0	0	5	15	-10	2	0	2	0	0	0	0	0	5	16	-11	0	10	17	27	0	0	2	5	3	0	110	33	36	41	0	144	49	72	44	14	4	28.57%	31	16	48.39%	0	16	75	21.33%	20	90	22.22%	32	86	37.21%	73	43	94	44	72	25
Total Séries	4	0	4	0	0	0	0	0	10	31	-21	2	0	2	0	0	0	0	0	5	15	-10	2	0	2	0	0	0	0	0	5	16	-11	0	10	17	27	0	0	2	5	3	0	110	33	36	41	0	144	49	72	44	14	4	28.57%	31	16	48.39%	0	16	75	21.33%	20	90	22.22%	32	86	37.21%	73	43	94	44	72	25