Ligue Canadienne de Hockey Simulé

Red Wings
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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	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	Colton Sceviour		X			100.00	69	42	79	73	70	81	89	67	74	66	76	81	62	69	80	49	63	71	0
2	Anthony Mantha (R)		X			100.00	70	44	79	77	89	87	95	74	61	71	79	57	55	77	55	80	66	71	0
3	Ryan Hartman (R)	X				100.00	74	46	68	79	66	81	93	73	72	72	79	64	56	67	56	76	71	70	0
4	Kyle Clifford (R)		X			100.00	84	43	74	70	79	76	77	77	56	62	63	77	65	83	77	51	50	69	0
5	Maxim Lapierre	X				100.00	99	61	64	62	78	66	72	64	86	62	65	89	66	80	89	29	43	69	0
6	John Hayden (R)			X		100.00	80	45	74	67	84	74	94	65	61	66	61	68	52	64	53	65	64	66	0
7	Tomas Nosek (R)		X			100.00	64	41	81	71	81	77	83	66	74	65	65	73	53	70	52	42	53	66	0
8	Scott Wilson (R)	X				100.00	75	41	83	73	64	78	85	65	70	64	64	65	56	69	53	47	45	65	0
9	Kevin Roy (R)			X		100.00	53	42	79	67	56	74	99	64	50	63	64	62	51	67	51	60	63	63	0
10	Hudson Fasching (R)			X		100.00	66	44	70	61	79	60	99	57	50	57	57	60	51	57	51	59	19	60	0
11	Logan Brown (R)	X				100.00	55	40	79	68	90	71	33	60	60	60	60	60	50	60	50	87	20	59	0
12	John McFarland (R)		X			100.00	64	78	61	64	68	58	63	52	65	58	47	60	54	57	54	42	19	56	0
13	Chase De Leo (R)		X			100.00	47	50	81	67	59	52	56	48	63	45	43	59	55	56	55	41	19	52	0
14	Jarred Tinordi (R)				X	100.00	72	47	58	65	93	63	66	79	47	61	56	79	57	80	80	63	49	70	0
15	Brandon Montour (R)				X	100.00	71	43	86	73	69	84	96	77	30	73	75	71	54	68	54	68	60	70	0
16	Chris Summers (R)				X	100.00	91	36	89	61	77	53	58	71	48	62	55	83	57	81	73	41	63	68	0
17	Tyler Wotherspoon (R)				X	100.00	68	35	99	66	79	62	67	76	25	66	51	73	54	76	71	63	45	67	0
18	Joe Morrow (R)				X	100.00	74	42	83	68	70	80	72	71	30	69	77	71	54	64	54	77	39	67	0
19	Taylor Chorney (R)				X	100.00	62	41	82	63	69	73	62	74	30	66	69	75	58	75	54	59	26	65	0
20	Madison Bowey (R)				X	100.00	65	43	78	62	75	72	89	69	31	69	63	62	52	61	52	70	20	64	0
21	Julius Honka (R)				X	100.00	58	42	80	60	65	69	72	63	30	62	64	64	51	60	52	83	20	61	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	70	45	77	67	74	71	77	67	53	64	63	69	55	69	60	60	44	65

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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	Michael Hutchinson	100.00	75	66	91	83	78	93	90	98	99	80	88	89	68	44	58	82	0
2	Hannu Toivonen	100.00	63	40	76	79	73	92	92	92	92	74	85	85	95	57	43	76	0
Rayé
1	Dustin Tokarski (R)	100.00	63	78	73	76	71	86	85	80	81	72	77	79	78	62	20	75	0
2	Marek Schwarz	100.00	67	40	73	75	72	81	81	81	81	71	77	99	93	34	20	73	0
3	Jeremy Smith (R)	100.00	57	56	71	70	67	74	67	70	71	68	66	71	57	39	20	65	0

	MOYENNE D'ÉQUIPE	100.00	65	56	77	77	72	85	83	84	85	73	79	85	78	47	32	74

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Joe Sacco	64	70	69	65	80	69	70	USA	49	2	800,000$

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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

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	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

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	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial
Anthony Mantha	Red Wings (DET)	LW	24	1994-09-16 17:04:44	Yes	225 Lbs	6 ft5	No	No	No	1	Avec Restriction	Pro & Farm	863,000$	0$	0$	No
Brandon Montour	Red Wings (DET)	D	25	1994-04-11 10:52:49	Yes	196 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	925,000$	0$	0$	No
Chase De Leo	Red Wings (DET)	LW	23	1995-10-25 23:11:13	Yes	180 Lbs	5 ft9	No	No	No	1	Avec Restriction	Pro & Farm	875,000$	0$	0$	No
Chris Summers	Red Wings (DET)	D	31	1988-02-05 05:11:13	Yes	213 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	800,000$	0$	0$	No
Colton Sceviour	Red Wings (DET)	LW	30	1989-04-20 11:11:13	No	195 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	1,000,000$	0$	0$	No
Dustin Tokarski	Red Wings (DET)	G	29	1989-09-16 11:11:14	Yes	201 Lbs	5 ft11	No	No	No	3	Avec Restriction	Pro & Farm	700,000$	0$	0$	No
Hannu Toivonen	Red Wings (DET)	G	35	1984-05-18 05:11:14	No	208 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro & Farm	800,000$	0$	0$	No
Hudson Fasching	Red Wings (DET)	RW	23	1995-07-28 10:55:45	Yes	204 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	925,000$	0$	0$	No
Jarred Tinordi	Red Wings (DET)	D	27	1992-02-20 05:11:13	Yes	216 Lbs	6 ft6	No	No	No	1	Avec Restriction	Pro & Farm	700,000$	0$	0$	No
Jeremy Smith	Red Wings (DET)	G	30	1989-04-13 10:57:47	Yes	180 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	750,000$	0$	0$	No
Joe Morrow	Red Wings (DET)	D	26	1992-12-09 05:11:13	Yes	196 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	863,000$	0$	0$	No
John Hayden	Red Wings (DET)	RW	24	1995-02-14 11:00:55	Yes	223 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	925,000$	0$	0$	No
John McFarland	Red Wings (DET)	LW	27	1992-04-02 05:11:13	Yes	213 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	851,000$	0$	0$	No
Julius Honka	Red Wings (DET)	D	23	1995-12-03 11:03:06	Yes	186 Lbs	5 ft11	No	No	No	2	Avec Restriction	Pro & Farm	863,333$	0$	0$	No
Kevin Roy	Red Wings (DET)	RW	26	1993-05-20 09:32:15	Yes	170 Lbs	5 ft9	No	No	No	3	Avec Restriction	Pro & Farm	875,000$	0$	0$	No
Kyle Clifford	Red Wings (DET)	LW	28	1991-01-13 11:11:13	Yes	214 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	900,000$	0$	0$	No
Logan Brown	Red Wings (DET)	C	21	1998-03-05 09:29:54	Yes	220 Lbs	6 ft6	No	No	No	3	Contrat d'Entrée	Pro & Farm	1,604,170$	0$	0$	No
Madison Bowey	Red Wings (DET)	D	24	1995-04-22 09:27:31	Yes	198 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	925,000$	0$	0$	No
Marek Schwarz	Red Wings (DET)	G	33	1986-04-01 17:11:14	No	193 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	800,000$	0$	0$	No
Maxim Lapierre	Red Wings (DET)	C	34	1985-03-29 11:11:13	No	215 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	600,000$	0$	0$	No
Michael Hutchinson	Red Wings (DET)	G	29	1990-03-02 17:11:14	No	207 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	1,500,000$	0$	0$	No
Ryan Hartman	Red Wings (DET)	C	24	1994-09-20 17:11:13	Yes	181 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	863,000$	0$	0$	No
Scott Wilson	Red Wings (DET)	C	27	1992-04-24 05:11:13	Yes	185 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	617,000$	0$	0$	No
Taylor Chorney	Red Wings (DET)	D	32	1987-04-27 23:11:13	Yes	193 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro & Farm	600,000$	0$	0$	No
Tomas Nosek	Red Wings (DET)	LW	26	1992-09-01 11:05:59	Yes	210 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	612,500$	0$	0$	No
Tyler Wotherspoon	Red Wings (DET)	D	26	1993-03-12 11:11:13	Yes	217 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	700,000$	0$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	27.19	202 Lbs	6 ft1	1.85	862,962$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Anthony Mantha	Tomas Nosek	Scott Wilson	35	1	2	2
2	Colton Sceviour	Ryan Hartman	Kevin Roy	35	1	2	2
3	Kyle Clifford	Maxim Lapierre	John Hayden	25	1	2	2
4	Tomas Nosek	Scott Wilson	Kevin Roy	5	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Wotherspoon	Brandon Montour	35	1	2	2
2	Jarred Tinordi	Chris Summers	35	1	2	2
3	Joe Morrow	Taylor Chorney	30	1	2	2
4	Jarred Tinordi	Brandon Montour	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Anthony Mantha	Tomas Nosek	Maxim Lapierre	60	1	2	2
2	Colton Sceviour	Ryan Hartman	Kyle Clifford	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Joe Morrow	Brandon Montour	60	1	2	2
2	Jarred Tinordi	Chris Summers	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Colton Sceviour	Ryan Hartman	60	1	2	2
2	Anthony Mantha	Tomas Nosek	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Taylor Chorney	Brandon Montour	60	1	2	2
2	Jarred Tinordi	Chris Summers	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Anthony Mantha	60	1	2	2	Taylor Chorney	Brandon Montour	60	1	2	2
2	Colton Sceviour	40	1	2	2	Jarred Tinordi	Chris Summers	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Colton Sceviour	Ryan Hartman	60	1	2	2
2	Anthony Mantha	Maxim Lapierre	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Joe Morrow	Brandon Montour	60	1	2	2
2	Jarred Tinordi	Chris Summers	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Anthony Mantha	Colton Sceviour	Ryan Hartman	Jarred Tinordi	Brandon Montour

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Anthony Mantha	Colton Sceviour	Ryan Hartman	Jarred Tinordi	Brandon Montour

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Maxim Lapierre, Kyle Clifford, Tomas Nosek	Maxim Lapierre, Kyle Clifford	Tomas Nosek

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Joe Morrow, Taylor Chorney, Jarred Tinordi	Joe Morrow	Taylor Chorney, Jarred Tinordi

Tirs de Pénalité
Ryan Hartman, Kyle Clifford, Anthony Mantha , Tomas Nosek, Colton Sceviour

Gardien
#1 : Michael Hutchinson, #2 : Hannu Toivonen

Lignes d'Attaque Perso. en Prol.
Anthony Mantha , Colton Sceviour, Ryan Hartman, Kyle Clifford, Tomas Nosek, Scott Wilson, Scott Wilson, Kevin Roy, Maxim Lapierre, John Hayden, Hudson Fasching

Lignes de Défense Perso. en Prol.
Jarred Tinordi, Brandon Montour, Chris Summers, Joe Morrow, Tyler Wotherspoon

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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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			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
0	0	N/A	0	0	0	0	0	0	0	0	0	0

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

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

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

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	0	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
0	0	0.00%	0	0	0.00%	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
0	0	0	0	0	0	0	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
0	0	0.00%	0	0	0.00%	0	0	0.00%

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
0	0	0	0	0	0

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	RI	Lien

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	45	25
Assistance	0.00%	0.00%
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
39	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	2,243,700$	1,076,800$	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