PIFFPACK - Blacknight

Golden Knights
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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	Cedric Paquette	X				99.00	96	55	66	62	77	71	93	60	78	61	66	82	63	71	67	59	50	70	0
2	Connor Brown			X		98.00	56	37	89	65	71	75	95	64	56	70	60	82	62	69	65	47	53	70	0
3	Garnet Hathaway			X		99.00	89	53	72	63	82	78	89	62	53	61	63	78	62	75	73	46	53	70	0
4	Martin Frk			X		97.00	71	36	90	66	78	70	60	65	62	69	61	59	60	71	66	69	49	70	0
5	Lucas Wallmark	X				100.00	73	39	81	66	70	77	94	65	81	69	63	67	64	67	68	61	53	68	0
6	Seth Griffith			X		100.00	52	37	89	62	67	93	91	61	73	64	56	58	62	71	66	55	53	68	0
7	C.J. Smith		X			99.00	52	36	92	63	69	81	70	62	59	61	64	59	62	69	66	51	50	68	0
8	Matt Benning				X	97.00	81	45	80	65	78	77	83	64	30	72	62	71	52	69	65	47	50	71	0
Rayé
1	Nicholas Merkley			X		100.00	55	37	87	62	69	86	80	61	70	63	54	56	58	63	62	78	44	66	0
2	Nikita Scherbak			X		100.00	59	37	89	61	79	74	62	59	55	57	58	56	55	67	64	78	44	65	0
3	John Hayden			X		100.00	83	55	79	58	86	65	67	56	58	53	57	59	56	67	64	59	44	61	0

	MOYENNE D'ÉQUIPE					99.00	70	42	83	63	75	77	80	62	61	64	60	66	60	69	66	59	49	68

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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	Filip Gustavsson	97.00	71	74	72	77	70	69	71	70	69	71	70	61	65	75	52	68	0
Rayé

	MOYENNE D'ÉQUIPE	97.00	71	74	72	77	70	69	71	70	69	71	70	61	65	75	52	68

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Doug Weight	75	71	79	77	74	70	77	USA	48	2	500,000$

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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	FO%	FOT	GA	TA	HT	P/20	PSG	PSS	S1	S2	S3
1	Cedric Paquette	Blacknight (VGS)	C	6	6	9	15	1	10	10	7	25	5	10	24.00%	1	103	17.27	4	6	10	6	19	0	0	0	1	7	1	72.67%	172	2	2	0	2.90	0	0	0	1	1
2	Martin Frk	Blacknight (VGS)	RW	5	5	7	12	-1	0	5	6	26	13	16	19.23%	3	108	21.72	4	5	9	5	16	0	2	2	3	19	1	66.67%	48	7	2	1	2.21	0	0	1	0	0
3	Connor Brown	Blacknight (VGS)	RW	6	3	7	10	9	0	4	7	17	8	17	17.65%	1	125	20.94	1	2	3	1	5	0	0	0	1	12	1	75.00%	4	7	10	0	1.59	0	0	2	0	0
4	Garnet Hathaway	Blacknight (VGS)	RW	6	4	6	10	5	4	8	6	28	4	19	14.29%	4	116	19.40	2	2	4	5	14	1	0	1	4	19	0	78.57%	14	11	4	1	1.72	1	1	1	1	0
5	C.J. Smith	Blacknight (VGS)	LW	6	3	7	10	-3	0	6	3	20	7	10	15.00%	1	103	17.25	1	7	8	4	20	0	0	0	1	10	0	63.64%	11	6	5	0	1.93	0	0	0	1	0
6	Lucas Wallmark	Blacknight (VGS)	C	6	5	3	8	2	0	5	7	29	5	12	17.24%	1	103	17.18	2	3	5	4	16	0	0	0	0	8	0	79.22%	77	6	5	0	1.55	0	0	0	1	2
7	Matt Benning	Blacknight (VGS)	D	6	2	5	7	2	2	8	4	23	11	9	8.70%	11	168	28.13	1	2	3	2	22	0	1	1	1	20	0	0.00%	0	10	7	0	0.83	0	0	0	0	2
8	Seth Griffith	Blacknight (VGS)	RW	6	2	3	5	3	2	6	5	16	3	8	12.50%	0	95	15.89	0	2	2	0	14	0	0	0	0	0	1	83.33%	6	2	5	0	1.05	0	0	0	1	0
Stats d'équipe Total ou en Moyenne				47	30	47	77	18	18	52	45	184	56	101	16.30%	22	925	19.68	15	29	44	27	130	1	3	4	11	97	4	73.49%	332	51	40	2	1.66	1	1	4	5	5

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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
1	Filip Gustavsson	Blacknight (VGS)	5	3	2	0	0.900	3.00	300	0	0	15	150	76	0	0	0.000	0	5	0	0	0	0
Stats d'équipe Total ou en Moyenne			5	3	2	0	0.900	3.00	300	0	0	15	150	76	0	0	0.000	0	5	0	0	0	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 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
C.J. Smith	Blacknight (VGS)	LW	22	1994-12-01	No	181 Lbs	5 ft11	No	No	No	2	Contrat d'Entrée	Pro & Farm	750,000$	0$	0$	No	Lien
Cedric Paquette	Blacknight (VGS)	C	24	1993-08-13	No	198 Lbs	6 ft1	No	No	No	2	Contrat d'Entrée	Pro & Farm	1,650,000$	0$	0$	No	Lien
Connor Brown	Blacknight (VGS)	RW	23	1994-01-14	No	183 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	2,100,000$	0$	0$	No	Lien
Filip Gustavsson	Blacknight (VGS)	G	19	1998-06-07	No	184 Lbs	6 ft2	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	0$	0$	No	Lien
Garnet Hathaway	Blacknight (VGS)	RW	25	1991-11-23	No	210 Lbs	6 ft2	No	No	No	4	Contrat d'Entrée	Pro & Farm	1,500,000$	0$	0$	No	Lien
John Hayden	Blacknight (VGS)	RW	22	1995-02-14	No	215 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	925,000$	0$	0$	No	Lien
Lucas Wallmark	Blacknight (VGS)	C	22	1995-09-05	No	178 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	0$	0$	No	Lien
Martin Frk	Blacknight (VGS)	RW	23	1993-10-05	No	205 Lbs	6 ft1	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	0$	0$	No	Lien
Matt Benning	Blacknight (VGS)	D	23	1994-05-25	No	203 Lbs	6 ft1	No	No	No	1	Contrat d'Entrée	Pro & Farm	1,900,000$	0$	0$	No	Lien
Nicholas Merkley	Blacknight (VGS)	RW	20	1997-05-23	No	194 Lbs	5 ft10	No	No	No	1	Contrat d'Entrée	Pro & Farm	863,333$	0$	0$	No	Lien
Nikita Scherbak	Blacknight (VGS)	RW	21	1995-12-30	No	192 Lbs	6 ft2	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	0$	0$	No	Lien
Seth Griffith	Blacknight (VGS)	RW	24	1993-01-04	No	190 Lbs	5 ft9	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	0$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
12	22.33	194 Lbs	6 ft1	1.42	1,119,861$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	C.J. Smith	Cedric Paquette	Martin Frk	40	1	2	2
2	Seth Griffith	Lucas Wallmark	Garnet Hathaway	30	1	2	2
3			Connor Brown	20	1	2	2
4	Garnet Hathaway	Martin Frk	Seth Griffith	10	1	2	2

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

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	C.J. Smith	Cedric Paquette	Martin Frk	60	1	2	2
2	Seth Griffith	Lucas Wallmark	Garnet Hathaway	40	1	2	2

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

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Martin Frk	Garnet Hathaway	60	1	2	2
2	Cedric Paquette	Connor Brown	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Benning		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	Martin Frk	60	1	2	2	Matt Benning		60	1	2	2
2	Garnet Hathaway	40	1	2	2			40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Martin Frk	Garnet Hathaway	60	1	2	2
2	Cedric Paquette	Connor Brown	40	1	2	2

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

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
C.J. Smith	Cedric Paquette	Martin Frk	Matt Benning

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
C.J. Smith	Cedric Paquette	Martin Frk	Matt Benning

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Lucas Wallmark, C.J. Smith, Connor Brown	Lucas Wallmark, C.J. Smith	Connor Brown

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Matt Benning, ,	Matt Benning	,

Tirs de Pénalité
Martin Frk, Garnet Hathaway, Cedric Paquette, Connor Brown, Lucas Wallmark

Gardien
#1 : Filip Gustavsson, #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	Barracuda	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	7	4	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	11	18	0	0	8	11	20	0	35	52	73	96	0	37	6	16	12	6	2	33.33%	8	2	75.00%	1	88	125	70.40%	87	128	67.97%	86	120	71.67%	126	68	133	49	100	56
2	Gulls	1	1	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	10	4	6	0	0	0	0	0	0	0	0	0	0	0	2	1.000	10	18	28	0	0	8	11	20	0	31	52	73	96	0	17	7	10	8	6	5	83.33%	5	2	60.00%	0	88	125	70.40%	87	128	67.97%	86	120	71.67%	126	68	133	49	100	56
3	Heat	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	4	7	11	0	0	8	11	20	0	82	52	73	96	0	59	23	18	30	8	2	25.00%	9	4	55.56%	0	88	125	70.40%	87	128	67.97%	86	120	71.67%	126	68	133	49	100	56
4	Icedogs	1	1	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	9	2	7	0	0	0	0	0	0	0	0	0	0	0	2	1.000	9	13	22	0	0	8	11	20	0	37	52	73	96	0	33	10	6	15	4	4	100.00%	4	0	100.00%	1	88	125	70.40%	87	128	67.97%	86	120	71.67%	126	68	133	49	100	56
5	Reigh	1	1	0	0	0	0	0	0	9	1	8	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	9	1	8	2	1.000	9	15	24	0	0	8	11	20	0	36	52	73	96	0	21	7	8	19	9	4	44.44%	4	0	100.00%	0	88	125	70.40%	87	128	67.97%	86	120	71.67%	126	68	133	49	100	56
	Total	6	4	2	0	0	0	0	0	39	19	20	4	3	1	0	0	0	0	0	27	13	14	2	1	1	0	0	0	0	0	12	6	6	8	0.667	39	64	103	0	0	8	11	20	0	221	52	73	96	0	167	53	58	84	33	17	51.52%	30	8	73.33%	2	88	125	70.40%	87	128	67.97%	86	120	71.67%	126	68	133	49	100	56
	_Since Last GM Reset	6	4	2	0	0	0	0	0	39	19	20	4	3	1	0	0	0	0	0	27	13	14	2	1	1	0	0	0	0	0	12	6	6	8	0.667	39	64	103	0	0	8	11	20	0	221	52	73	96	0	167	53	58	84	33	17	51.52%	30	8	73.33%	2	88	125	70.40%	87	128	67.97%	86	120	71.67%	126	68	133	49	100	56
	_Vs Conference	6	4	2	0	0	0	0	0	39	19	20	4	3	1	0	0	0	0	0	27	13	14	2	1	1	0	0	0	0	0	12	6	6	8	0.667	39	64	103	0	0	8	11	20	0	221	52	73	96	0	167	53	58	84	33	17	51.52%	30	8	73.33%	2	88	125	70.40%	87	128	67.97%	86	120	71.67%	126	68	133	49	100	56
	_Vs Division	5	3	2	0	0	0	0	0	30	17	13	3	2	1	0	0	0	0	0	18	11	7	2	1	1	0	0	0	0	0	12	6	6	6	0.600	30	51	81	0	0	8	11	20	0	184	52	73	96	0	134	43	52	69	29	13	44.83%	26	8	69.23%	1	88	125	70.40%	87	128	67.97%	86	120	71.67%	126	68	133	49	100	56

			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
6	8	L2	39	64	103	221	167	53	58	84	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	4	2	0	0	0	0	39	19

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	27	13

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	12	6

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	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
33	17	51.52%	30	8	73.33%	2

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
52	73	96	0	8	11	20	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
88	125	70.40%	87	128	67.97%	86	120	71.67%

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
126	68	133	49	100	56

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	Lien
2 - 2019-10-05	10	Gulls	4	Blacknight	10	W	Sommaire du Match
5 - 2019-10-08	27	Icedogs	2	Blacknight	9	W	Sommaire du Match
7 - 2019-10-10	36	Blacknight	9	Reigh	1	W	Sommaire du Match
11 - 2019-10-14	53	Barracuda	4	Blacknight	7	W	Sommaire du Match
13 - 2019-10-16	67	Blacknight	3	Heat	5	L	Sommaire du Match
15 - 2019-10-18	77	Heat	3	Blacknight	1	L	Sommaire du Match
16 - 2019-10-19	88	Blacknight	-	Barracuda	-
17 - 2019-10-20	90	Blacknight	-	Condors	-
19 - 2019-10-22	108	Thunderbird	-	Blacknight	-
23 - 2019-10-26	124	Reigh	-	Blacknight	-
24 - 2019-10-27	136	Blacknight	-	Gulls	-
26 - 2019-10-29	148	Barracuda	-	Blacknight	-
29 - 2019-11-01	162	Blacknight	-	Barracuda	-
31 - 2019-11-03	170	Condors	-	Blacknight	-
33 - 2019-11-05	183	Blacknight	-	Gulls	-
36 - 2019-11-08	196	Heat	-	Blacknight	-
38 - 2019-11-10	205	Blacknight	-	Wolves	-
40 - 2019-11-12	217	Blacknight	-	Penguins	-
42 - 2019-11-14	226	Senateurs	-	Blacknight	-
44 - 2019-11-16	236	Blacknight	-	Senateurs	-
46 - 2019-11-18	246	Blacknight	-	Devils	-
48 - 2019-11-20	256	Icedogs	-	Blacknight	-
50 - 2019-11-22	270	Blacknight	-	Icedogs	-
52 - 2019-11-24	279	Rampages	-	Blacknight	-
55 - 2019-11-27	296	Gulls	-	Blacknight	-
57 - 2019-11-29	307	Blacknight	-	Phantoms	-
59 - 2019-12-01	320	Gulls	-	Blacknight	-
61 - 2019-12-03	326	Blacknight	-	Bears	-
64 - 2019-12-06	344	Rampages	-	Blacknight	-
66 - 2019-12-08	358	Blacknight	-	Thunderbird	-
68 - 2019-12-10	364	Blacknight	-	Barracuda	-
70 - 2019-12-12	375	Blacknight	-	Reigh	-
71 - 2019-12-13	381	Bears	-	Blacknight	-
74 - 2019-12-16	398	Sound Tigers	-	Blacknight	-
77 - 2019-12-19	411	Blacknight	-	Marlies	-
79 - 2019-12-21	419	Blacknight	-	Reigh	-
80 - 2019-12-22	427	Thunderbird	-	Blacknight	-
82 - 2019-12-24	446	Marlies	-	Blacknight	-
84 - 2019-12-26	458	Blacknight	-	Heat	-
87 - 2019-12-29	470	Phantoms	-	Blacknight	-
89 - 2019-12-31	483	Blacknight	-	Moose	-
92 - 2020-01-03	495	Barracuda	-	Blacknight	-
95 - 2020-01-06	510	Heat	-	Blacknight	-
97 - 2020-01-08	521	Blacknight	-	Monsters	-
100 - 2020-01-11	535	Bruins	-	Blacknight	-
105 - 2020-01-16	558	Blacknight	-	Crunch	-
106 - 2020-01-17	563	Icedogs	-	Blacknight	-
109 - 2020-01-20	581	Blacknight	-	Moose	-
110 - 2020-01-21	586	Devils	-	Blacknight	-
113 - 2020-01-24	605	Reigh	-	Blacknight	-
116 - 2020-01-27	613	Blacknight	-	Wolves	-
119 - 2020-01-30	628	Admirals	-	Blacknight	-
121 - 2020-02-01	642	Blacknight	-	Icedogs	-
123 - 2020-02-03	654	Admirals	-	Blacknight	-
124 - 2020-02-04	664	Blacknight	-	Bruins	-
127 - 2020-02-07	678	Reigh	-	Blacknight	-
130 - 2020-02-10	697	Wolves	-	Blacknight	-
132 - 2020-02-12	708	Blacknight	-	Crunch	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
134 - 2020-02-14	715	Blacknight	-	Gulls	-
136 - 2020-02-16	725	Condors	-	Blacknight	-
138 - 2020-02-18	739	Blacknight	-	Sound Tigers	-
141 - 2020-02-21	750	Wolves	-	Blacknight	-
143 - 2020-02-23	757	Blacknight	-	Heat	-
144 - 2020-02-24	766	Blacknight	-	Admirals	-
147 - 2020-02-27	778	Monsters	-	Blacknight	-
149 - 2020-02-29	794	Blacknight	-	Rocket	-
151 - 2020-03-02	802	Crunch	-	Blacknight	-
155 - 2020-03-06	819	Blacknight	-	Marlies	-
157 - 2020-03-08	827	Rocket	-	Blacknight	-
160 - 2020-03-11	846	Stars	-	Blacknight	-
162 - 2020-03-13	855	Blacknight	-	Condors	-
166 - 2020-03-17	870	Stars	-	Blacknight	-
167 - 2020-03-18	872	Blacknight	-	Rampages	-
170 - 2020-03-21	893	Condors	-	Blacknight	-
171 - 2020-03-22	898	Blacknight	-	Admirals	-
174 - 2020-03-25	915	Blacknight	-	Rampages	-
175 - 2020-03-26	923	Moose	-	Blacknight	-
178 - 2020-03-29	936	Blacknight	-	Condors	-
180 - 2020-03-31	946	Blacknight	-	Stars	-
182 - 2020-04-02	954	Moose	-	Blacknight	-
187 - 2020-04-07	969	Blacknight	-	Stars	-
190 - 2020-04-10	983	Penguins	-	Blacknight	-

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
144,810$	1,343,833$	1,343,833$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	105,540$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	176	9,654$	1,699,104$

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	6	4	2	0	0	0	0	0	39	19	20	4	3	1	0	0	0	0	0	27	13	14	2	1	1	0	0	0	0	0	12	6	6	8	39	64	103	0	0	8	11	20	0	221	52	73	96	0	167	53	58	84	33	17	51.52%	30	8	73.33%	2	88	125	70.40%	87	128	67.97%	86	120	71.67%	126	68	133	49	100	56
Total Saison Régulière	6	4	2	0	0	0	0	0	39	19	20	4	3	1	0	0	0	0	0	27	13	14	2	1	1	0	0	0	0	0	12	6	6	8	39	64	103	0	0	8	11	20	0	221	52	73	96	0	167	53	58	84	33	17	51.52%	30	8	73.33%	2	88	125	70.40%	87	128	67.97%	86	120	71.67%	126	68	133	49	100	56