OTHL - Reign

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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	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Frederik Gauthier	X			100.00	79	46	94	70	88	52	85	59	79	63	56	72	25	60	60	65	50	64	0
2	Mason Appleton	X	X		100.00	71	43	96	74	72	51	92	60	25	65	58	60	25	47	47	64	50	61	0
3	Andreas Borgman			X	100.00	71	70	72	77	70	70	75	52	25	45	42	62	40	55	55	55	50	61	0
Rayé

	MOYENNE D'ÉQUIPE				100.00	74	53	87	74	77	58	84	57	43	58	52	65	30	54	54	61	50	62

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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	Richard Bachman	100.00	48	52	65	62	46	48	50	54	48	48	30	48	48	49	50	51	0
Rayé
1	Antoine Bibeau (R)	100.00	55	68	85	82	53	58	50	59	53	52	30	44	44	56	50	58	0

	MOYENNE D'ÉQUIPE	100.00	52	60	75	72	50	53	50	57	51	50	30	46	46	53	50	55

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Spencer Carbery	59	62	75	67	49	48	60	CAN	38	3	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

#	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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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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

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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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Andreas Borgman	Reign (LAK)	D	24	1995-06-18	No	191 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,775,000$	0$	0$	No	1,775,000$		Lien
Antoine Bibeau	Reign (LAK)	G	25	1994-05-01	Yes	207 Lbs	6 ft3	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Lien
Frederik Gauthier	Reign (LAK)	C	24	1995-04-26	No	238 Lbs	6 ft5	No	No	No	1	Pro & Farm	990,000$	0$	0$	No			Lien
Mason Appleton	Reign (LAK)	C/RW	24	1996-01-15	No	193 Lbs	6 ft2	No	No	No	2	Pro & Farm	758,000$	0$	0$	No	758,000$		Lien
Richard Bachman	Reign (LAK)	G	32	1987-07-25	No	183 Lbs	5 ft10	No	No	No	1	Pro & Farm	900,000$	0$	0$	No			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
5	25.80	202 Lbs	6 ft2	1.80	1,069,600$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

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

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

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

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

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

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

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

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,	,

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
, , , ,

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	Americans	2	0	2	0	0	0	0	0	1	17	-16	1	0	1	0	0	0	0	0	1	8	-7	1	0	1	0	0	0	0	0	0	9	-9	0	0.000	1	2	3	0	0	72	63	62	5	28	717	722	822	45	95	23	15	22	7	0	0.00%	5	1	80.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
2	Admirals	3	2	0	0	1	0	0	0	16	11	5	2	1	0	0	1	0	0	0	11	8	3	1	1	0	0	0	0	0	0	5	3	2	6	1.000	16	31	47	0	0	72	63	62	5	130	717	722	822	45	135	45	15	90	5	2	40.00%	5	2	60.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
3	Barracudas	4	0	4	0	0	0	0	0	6	28	-22	2	0	2	0	0	0	0	0	4	14	-10	2	0	2	0	0	0	0	0	2	14	-12	0	0.000	6	12	18	0	0	72	63	62	5	99	717	722	822	45	184	46	4	60	5	0	0.00%	3	2	33.33%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
4	Bears	2	0	2	0	0	0	0	0	3	12	-9	1	0	1	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	3	5	8	0	0	72	63	62	5	51	717	722	822	45	101	32	2	25	2	0	0.00%	0	0	0.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
5	Bruins	2	0	2	0	0	0	0	0	3	9	-6	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	3	6	9	0	0	72	63	62	5	26	717	722	822	45	66	12	10	28	7	0	0.00%	4	1	75.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
6	Checkers	2	0	1	0	0	0	0	1	4	13	-9	1	0	0	0	0	0	0	1	3	4	-1	1	0	1	0	0	0	0	0	1	9	-8	1	0.250	4	8	12	0	0	72	63	62	5	54	717	722	822	45	133	49	15	57	3	0	0.00%	4	1	75.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
7	Comets	4	0	4	0	0	0	0	0	5	36	-31	2	0	2	0	0	0	0	0	3	17	-14	2	0	2	0	0	0	0	0	2	19	-17	0	0.000	5	10	15	0	0	72	63	62	5	39	717	722	822	45	175	66	8	44	13	3	23.08%	4	2	50.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
8	Condors	4	0	4	0	0	0	0	0	3	24	-21	2	0	2	0	0	0	0	0	2	14	-12	2	0	2	0	0	0	0	0	1	10	-9	0	0.000	3	6	9	0	0	72	63	62	5	41	717	722	822	45	185	61	16	39	13	1	7.69%	8	2	75.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
9	Crunch	2	0	2	0	0	0	0	0	5	16	-11	1	0	1	0	0	0	0	0	3	11	-8	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	5	10	15	0	0	72	63	62	5	53	717	722	822	45	120	31	4	37	1	0	0.00%	3	1	66.67%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
10	Devils	2	2	0	0	0	0	0	0	14	7	7	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	7	4	3	4	1.000	14	26	40	0	0	72	63	62	5	93	717	722	822	45	81	34	4	43	2	0	0.00%	1	0	100.00%	1	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
11	Eagles	3	0	1	0	1	0	0	1	10	15	-5	2	0	0	0	1	0	0	1	9	9	0	1	0	1	0	0	0	0	0	1	6	-5	3	0.500	10	20	30	0	0	72	63	62	5	157	717	722	822	45	148	32	10	72	7	2	28.57%	6	2	66.67%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
12	Griffins	2	0	2	0	0	0	0	0	5	18	-13	1	0	1	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	2	10	-8	0	0.000	5	10	15	0	0	72	63	62	5	67	717	722	822	45	113	37	8	31	3	0	0.00%	6	0	100.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
13	Gulls	5	0	5	0	0	0	0	0	7	42	-35	2	0	2	0	0	0	0	0	0	20	-20	3	0	3	0	0	0	0	0	7	22	-15	0	0.000	7	14	21	0	0	72	63	62	5	109	717	722	822	45	308	81	25	87	10	0	0.00%	10	1	90.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
14	Heat	4	0	4	0	0	0	0	0	3	47	-44	2	0	2	0	0	0	0	0	2	23	-21	2	0	2	0	0	0	0	0	1	24	-23	0	0.000	3	6	9	0	0	72	63	62	5	29	717	722	822	45	311	88	19	51	4	0	0.00%	6	1	83.33%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
15	IceHogs	3	0	3	0	0	0	0	0	1	31	-30	1	0	1	0	0	0	0	0	1	10	-9	2	0	2	0	0	0	0	0	0	21	-21	0	0.000	1	2	3	0	0	72	63	62	5	33	717	722	822	45	173	43	8	31	12	0	0.00%	4	3	25.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
16	Marlies	2	1	1	0	0	0	0	0	9	12	-3	1	1	0	0	0	0	0	0	7	3	4	1	0	1	0	0	0	0	0	2	9	-7	2	0.500	9	18	27	0	0	72	63	62	5	55	717	722	822	45	137	42	6	40	6	2	33.33%	3	0	100.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
17	Monsters	2	0	2	0	0	0	0	0	1	20	-19	1	0	1	0	0	0	0	0	1	10	-9	1	0	1	0	0	0	0	0	0	10	-10	0	0.000	1	2	3	0	0	72	63	62	5	17	717	722	822	45	118	24	2	23	2	0	0.00%	1	0	100.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
18	Moose	3	0	3	0	0	0	0	0	4	13	-9	1	0	1	0	0	0	0	0	2	4	-2	2	0	2	0	0	0	0	0	2	9	-7	0	0.000	4	8	12	0	0	72	63	62	5	69	717	722	822	45	156	33	17	49	7	0	0.00%	6	2	66.67%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
19	Penguins	2	0	2	0	0	0	0	0	5	15	-10	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	2	8	-6	0	0.000	5	10	15	0	0	72	63	62	5	39	717	722	822	45	93	29	4	28	5	1	20.00%	2	0	100.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
20	Phantoms	2	0	1	0	0	1	0	0	7	10	-3	1	0	1	0	0	0	0	0	4	6	-2	1	0	0	0	0	1	0	0	3	4	-1	1	0.250	7	14	21	0	0	72	63	62	5	74	717	722	822	45	85	24	8	32	4	0	0.00%	4	0	100.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
21	Rampage	3	0	3	0	0	0	0	0	11	15	-4	1	0	1	0	0	0	0	0	4	6	-2	2	0	2	0	0	0	0	0	7	9	-2	0	0.000	11	21	32	0	0	72	63	62	5	164	717	722	822	45	167	48	8	77	10	1	10.00%	3	0	100.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
22	Roadrunners	4	0	3	0	0	0	1	0	11	25	-14	2	0	1	0	0	0	1	0	5	16	-11	2	0	2	0	0	0	0	0	6	9	-3	2	0.250	11	20	31	0	0	72	63	62	5	114	717	722	822	45	212	50	10	79	5	0	0.00%	5	2	60.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
23	Rocket	2	0	2	0	0	0	0	0	2	15	-13	1	0	1	0	0	0	0	0	1	11	-10	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	2	3	5	0	0	72	63	62	5	18	717	722	822	45	106	21	4	14	9	0	0.00%	2	1	50.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
24	Senators	2	1	1	0	0	0	0	0	9	11	-2	1	0	1	0	0	0	0	0	4	7	-3	1	1	0	0	0	0	0	0	5	4	1	2	0.500	9	16	25	0	0	72	63	62	5	96	717	722	822	45	80	20	8	44	3	1	33.33%	4	3	25.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
25	Sound Tigers	2	1	0	0	0	1	0	0	11	10	1	1	1	0	0	0	0	0	0	7	5	2	1	0	0	0	0	1	0	0	4	5	-1	3	0.750	11	22	33	0	0	72	63	62	5	120	717	722	822	45	131	29	6	55	5	1	20.00%	3	0	100.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
26	Stars	3	0	3	0	0	0	0	0	9	24	-15	2	0	2	0	0	0	0	0	9	15	-6	1	0	1	0	0	0	0	0	0	9	-9	0	0.000	9	18	27	0	0	72	63	62	5	130	717	722	822	45	177	42	10	86	7	1	14.29%	4	1	75.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
27	Thunderbirds	2	0	2	0	0	0	0	0	4	16	-12	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	10	-8	0	0.000	4	8	12	0	0	72	63	62	5	45	717	722	822	45	90	24	10	23	5	1	20.00%	5	2	60.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
	Total	82	9	64	0	2	2	2	3	201	562	-361	41	5	30	0	2	0	2	2	123	289	-166	41	4	34	0	0	2	0	1	78	273	-195	31	0.189	201	388	589	0	0	72	63	62	5	2289	717	722	822	45	4290	1179	285	1443	177	20	11.30%	123	35	71.54%	1	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
29	Wild	3	1	0	0	0	0	1	1	15	13	2	2	1	0	0	0	0	1	0	11	8	3	1	0	0	0	0	0	0	1	4	5	-1	5	0.833	15	26	41	0	0	72	63	62	5	148	717	722	822	45	138	49	11	81	5	2	40.00%	3	0	100.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
30	Wolf Pack	2	1	1	0	0	0	0	0	10	11	-1	1	0	1	0	0	0	0	0	5	7	-2	1	1	0	0	0	0	0	0	5	4	1	2	0.500	10	20	30	0	0	72	63	62	5	92	717	722	822	45	106	21	4	47	3	1	33.33%	2	1	50.00%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
31	Wolves	4	0	4	0	0	0	0	0	7	26	-19	2	0	2	0	0	0	0	0	5	17	-12	2	0	2	0	0	0	0	0	2	9	-7	0	0.000	7	14	21	0	0	72	63	62	5	99	717	722	822	45	166	43	14	48	7	1	14.29%	7	4	42.86%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
	_Since Last GM Reset	82	9	64	0	2	2	2	3	201	562	-361	41	5	30	0	2	0	2	2	123	289	-166	41	4	34	0	0	2	0	1	78	273	-195	31	0.189	201	388	589	0	0	72	63	62	5	2289	717	722	822	45	4290	1179	285	1443	177	20	11.30%	123	35	71.54%	1	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
	_Vs Conference	48	3	39	0	2	0	2	2	104	331	-227	24	2	17	0	2	0	2	1	66	172	-106	24	1	22	0	0	0	0	1	38	159	-121	16	0.167	104	200	304	0	0	72	63	62	5	1350	717	722	822	45	2555	684	182	872	104	10	9.62%	75	23	69.33%	0	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356

			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
82	31	L5	201	388	589	2289	4290	1179	285	1443	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	9	64	2	2	2	3	201	562

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	5	30	2	0	2	2	123	289

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	4	34	0	2	0	1	78	273

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	9	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
177	20	11.30%	123	35	71.54%	1

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
717	722	822	45	72	63	62	5

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
754	1793	42.05%	831	2455	33.85%	518	1517	34.15%

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
1240	849	2827	554	885	356

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
4 - 2019-10-07	23	Reign	0	Condors	4	L			Sommaire du Match
7 - 2019-10-10	36	Reign	0	Heat	11	L			Sommaire du Match
8 - 2019-10-11	46	Reign	1	Comets	11	L			Sommaire du Match
11 - 2019-10-14	67	Admirals	5	Reign	6	W	X		Sommaire du Match
12 - 2019-10-15	75	Wolves	6	Reign	1	L			Sommaire du Match
14 - 2019-10-17	86	Checkers	4	Reign	3	L	X	X	Sommaire du Match
16 - 2019-10-19	101	Americans	8	Reign	1	L			Sommaire du Match
18 - 2019-10-21	115	Heat	11	Reign	0	L			Sommaire du Match
21 - 2019-10-24	142	Reign	2	Moose	5	L			Sommaire du Match
23 - 2019-10-26	154	Reign	5	Rampage	6	L			Sommaire du Match
25 - 2019-10-28	165	Reign	4	Wild	5	L	X	X	Sommaire du Match
26 - 2019-10-29	170	Reign	0	IceHogs	13	L			Sommaire du Match
29 - 2019-11-01	191	Comets	9	Reign	0	L			Sommaire du Match
32 - 2019-11-04	211	IceHogs	10	Reign	1	L			Sommaire du Match
35 - 2019-11-07	232	Reign	2	Marlies	9	L			Sommaire du Match
37 - 2019-11-09	244	Reign	5	Senators	4	W			Sommaire du Match
39 - 2019-11-11	255	Reign	1	Rocket	4	L			Sommaire du Match
42 - 2019-11-14	274	Wild	4	Reign	5	W	X	X	Sommaire du Match
44 - 2019-11-16	290	Griffins	8	Reign	3	L			Sommaire du Match
46 - 2019-11-18	304	Wolves	11	Reign	4	L			Sommaire du Match
48 - 2019-11-20	316	Reign	4	Roadrunners	5	L			Sommaire du Match
51 - 2019-11-23	340	Condors	6	Reign	0	L			Sommaire du Match
53 - 2019-11-25	352	Roadrunners	4	Reign	5	W	X	X	Sommaire du Match
55 - 2019-11-27	368	Barracudas	8	Reign	0	L			Sommaire du Match
57 - 2019-11-29	382	Sound Tigers	5	Reign	7	W			Sommaire du Match
59 - 2019-12-01	400	Reign	2	Barracudas	6	L			Sommaire du Match
60 - 2019-12-02	409	Moose	4	Reign	2	L			Sommaire du Match
62 - 2019-12-04	419	Reign	2	Gulls	6	L			Sommaire du Match
64 - 2019-12-06	435	Bears	8	Reign	2	L			Sommaire du Match
66 - 2019-12-08	448	Reign	1	Condors	6	L			Sommaire du Match
67 - 2019-12-09	454	Reign	1	Heat	13	L			Sommaire du Match
70 - 2019-12-12	477	Wolf Pack	7	Reign	5	L			Sommaire du Match
72 - 2019-12-14	487	Reign	2	Gulls	6	L			Sommaire du Match
74 - 2019-12-16	511	Reign	2	Penguins	8	L			Sommaire du Match
75 - 2019-12-17	516	Reign	2	Griffins	10	L			Sommaire du Match
77 - 2019-12-19	524	Reign	1	Bruins	5	L			Sommaire du Match
79 - 2019-12-21	540	Reign	0	Monsters	10	L			Sommaire du Match
81 - 2019-12-23	553	Reign	0	Americans	9	L			Sommaire du Match
83 - 2019-12-25	571	Rampage	6	Reign	4	L			Sommaire du Match
87 - 2019-12-29	590	Reign	0	Barracudas	8	L			Sommaire du Match
88 - 2019-12-30	600	Reign	1	Comets	8	L			Sommaire du Match
91 - 2020-01-02	621	Phantoms	6	Reign	4	L			Sommaire du Match
95 - 2020-01-06	645	Admirals	3	Reign	5	W			Sommaire du Match
97 - 2020-01-08	659	Monsters	10	Reign	1	L			Sommaire du Match
99 - 2020-01-10	675	Stars	6	Reign	4	L			Sommaire du Match
100 - 2020-01-11	688	Reign	1	Wolves	5	L			Sommaire du Match
102 - 2020-01-13	693	Reign	1	Checkers	9	L			Sommaire du Match
105 - 2020-01-16	722	Reign	2	Crunch	5	L			Sommaire du Match
107 - 2020-01-18	731	Reign	2	Thunderbirds	10	L			Sommaire du Match
109 - 2020-01-20	752	Reign	3	Phantoms	4	L	X		Sommaire du Match
120 - 2020-01-31	779	Crunch	11	Reign	3	L			Sommaire du Match
121 - 2020-02-01	782	Reign	2	Roadrunners	4	L			Sommaire du Match
123 - 2020-02-03	796	Gulls	10	Reign	0	L			Sommaire du Match
126 - 2020-02-06	824	Reign	1	Bears	4	L			Sommaire du Match
128 - 2020-02-08	834	Reign	4	Sound Tigers	5	L	X		Sommaire du Match
130 - 2020-02-10	848	Reign	7	Devils	4	W			Sommaire du Match
131 - 2020-02-11	858	Reign	5	Wolf Pack	4	W			Sommaire du Match
134 - 2020-02-14	878	Heat	12	Reign	2	L			Sommaire du Match
137 - 2020-02-17	898	Reign	1	Eagles	6	L			Sommaire du Match
140 - 2020-02-20	926	Reign	0	Moose	4	L			Sommaire du Match
142 - 2020-02-22	934	Thunderbirds	6	Reign	2	L			Sommaire du Match
144 - 2020-02-24	949	Eagles	3	Reign	4	W	X		Sommaire du Match
145 - 2020-02-25	963	Condors	8	Reign	2	L			Sommaire du Match
148 - 2020-02-28	982	Penguins	7	Reign	3	L			Sommaire du Match
151 - 2020-03-02	1002	Devils	3	Reign	7	W			Sommaire du Match
152 - 2020-03-03	1016	Reign	1	Wolves	4	L			Sommaire du Match
156 - 2020-03-07	1036	Marlies	3	Reign	7	W			Sommaire du Match
158 - 2020-03-09	1053	Wild	4	Reign	6	W			Sommaire du Match
160 - 2020-03-11	1068	Eagles	6	Reign	5	L	X	X	Sommaire du Match
162 - 2020-03-13	1082	Senators	7	Reign	4	L			Sommaire du Match
165 - 2020-03-16	1105	Gulls	10	Reign	0	L			Sommaire du Match
168 - 2020-03-19	1125	Rocket	11	Reign	1	L			Sommaire du Match
170 - 2020-03-21	1141	Bruins	4	Reign	2	L			Sommaire du Match
172 - 2020-03-23	1158	Comets	8	Reign	3	L			Sommaire du Match
173 - 2020-03-24	1167	Roadrunners	12	Reign	0	L			Sommaire du Match
175 - 2020-03-26	1177	Reign	0	Stars	9	L			Sommaire du Match
177 - 2020-03-28	1196	Reign	5	Admirals	3	W			Sommaire du Match
178 - 2020-03-29	1201	Reign	2	Rampage	3	L			Sommaire du Match
180 - 2020-03-31	1216	Reign	0	IceHogs	8	L			Sommaire du Match
182 - 2020-04-02	1233	Barracudas	6	Reign	4	L			Sommaire du Match
185 - 2020-04-05	1255	Reign	3	Gulls	10	L			Sommaire du Match
186 - 2020-04-06	1264	Stars	9	Reign	5	L			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	40	0
Assistance	74,404	35,887
Assistance PCT	90.74%	87.53%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	2690 - 89.67%	72,589$	2,976,160$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,166,162$	534,800$	442,300$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
2,875$	466,187$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	6,639$	0$

Afficher ou Masquer des Colonnes

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	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
2019	82	9	64	0	2	2	2	3	201	562	-361	41	5	30	0	2	0	2	2	123	289	-166	41	4	34	0	0	2	0	1	78	273	-195	31	201	388	589	0	0	72	63	62	5	2289	717	722	822	45	4290	1179	285	1443	177	20	11.30%	123	35	71.54%	1	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356
Total Saison Régulière	82	9	64	0	2	2	2	3	201	562	-361	41	5	30	0	2	0	2	2	123	289	-166	41	4	34	0	0	2	0	1	78	273	-195	31	201	388	589	0	0	72	63	62	5	2289	717	722	822	45	4290	1179	285	1443	177	20	11.30%	123	35	71.54%	1	754	1793	42.05%	831	2455	33.85%	518	1517	34.15%	1240	849	2827	554	885	356