Stanley Cup Winners Hockey League - LEHIGH VALLEY Phantoms

PHILADELPHIA Flyers
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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	Âge	Contrat	Salaire
1	Vinnie Hinostroza	0		X	X		100.00	68	38	89	71	66	77	85	70	63	72	65	64	76	71	66	48	99	71	0	26	1	750,000$
2	Logan Shaw	0			X		100.00	65	46	88	62	85	75	78	63	55	59	60	64	62	75	65	53	99	68	0	27	2	750,000$
3	Joel Lowry	0		X			100.00	57	55	80	61	73	86	87	59	57	60	56	58	56	77	69	56	97	67	0	28	1	750,000$
4	Curtis Lazar	0	X				100.00	66	45	89	62	77	79	78	61	72	60	60	66	62	69	65	80	97	67	0	25	2	950,000$
5	Dryden Hunt	0		X			100.00	68	43	84	63	73	80	78	62	57	61	61	64	62	69	65	52	99	67	0	24	2	750,000$
6	Frederick Gaudreau	0	X				100.00	58	39	82	63	70	77	75	62	67	61	59	64	62	73	67	58	99	66	0	27	3	750,000$
7	Jonny Brodzinski	0	X				100.00	64	43	88	62	80	73	72	61	64	58	60	63	59	73	67	52	99	66	0	27	3	750,000$
8	Nick Moutrey	0			X		100.00	74	50	87	56	88	85	83	54	50	52	53	58	56	69	65	59	99	66	0	25	3	750,000$
9	Jacob Josefson	0	X				100.00	62	41	83	71	70	78	56	60	59	62	62	68	68	63	57	70	97	65	0	29	1	750,000$
10	Ryan Fitzgerald	0		X			100.00	54	43	86	61	64	87	88	59	55	58	56	54	59	71	66	57	99	65	0	25	5	750,000$
11	Mark Letestu	0	X				100.00	50	35	69	70	69	50	51	70	70	64	64	52	64	72	57	23	99	61	0	35	5	750,000$
12	Spencer Watson (R)	0		X			100.00	50	89	73	56	55	50	50	56	50	52	52	50	52	50	50	44	99	53	0	24	2	750,000$
13	Casey Nelson	0				X	100.00	60	43	89	59	74	81	75	58	30	57	56	61	53	75	68	57	98	65	0	28	5	750,000$
14	Alexandre Carrier	0				X	100.00	56	42	88	60	67	84	80	59	30	61	57	58	54	67	64	58	99	65	0	23	4	750,000$
15	Jacob Middleton	0				X	100.00	66	51	83	61	85	75	71	59	30	58	57	60	53	67	64	54	99	65	0	24	2	750,000$
16	Joel Persson (R)	0				X	100.00	58	37	86	62	66	78	68	61	30	60	57	59	48	71	66	53	99	64	0	26	3	750,000$
17	Brandon Hickey	0				X	100.00	66	45	88	56	81	76	75	54	30	53	52	55	45	67	64	65	99	63	0	24	1	750,000$
18	Blake Hillman	0				X	100.00	61	45	89	54	76	81	83	52	30	51	51	53	46	67	64	61	97	62	0	24	1	750,000$
Rayé
1	Justin Falk	0				X	100.00	74	62	71	59	94	53	55	59	30	49	46	57	56	61	53	47	97	59	0	31	0	0$
2	Brandon Crawley (R)	0				X	100.00	54	89	48	63	78	50	50	63	30	47	42	50	52	50	50	44	99	54	0	23	1	750,000$

	MOYENNE D'ÉQUIPE					100.00	62	49	82	62	75	74	72	60	48	58	56	59	57	68	63	55	98	64

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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Colton Point (R)	100.00	61	54	52	93	60	59	61	60	59	61	60	63	67	58	99	57	0
2	Kaden Fulcher (R)	100.00	58	55	54	77	57	57	58	57	57	57	53	50	54	44	99	53	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	60	55	53	85	59	58	60	59	58	59	57	57	61	51	99	55

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

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	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	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Link
Alexandre Carrier	LEHIGH VALLEY Phantoms (PHI)	D	23	10/8/1996	No	79 Kg	180 CM	No	No	No	4	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$	750,000$		Lien
Blake Hillman	LEHIGH VALLEY Phantoms (PHI)	D	24	1/26/1996	No	88 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No					Lien
Brandon Crawley	LEHIGH VALLEY Phantoms (PHI)	D	23	2/2/1997	Yes	93 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No					Lien
Brandon Hickey	LEHIGH VALLEY Phantoms (PHI)	D	24	4/13/1996	No	91 Kg	188 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No					Lien
Casey Nelson	LEHIGH VALLEY Phantoms (PHI)	D	28	7/18/1992	No	84 Kg	185 CM	No	No	No	5	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	Lien
Colton Point	LEHIGH VALLEY Phantoms (PHI)	G	22	3/4/1998	Yes	107 Kg	193 CM	No	No	No	3	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$
Curtis Lazar	LEHIGH VALLEY Phantoms (PHI)	C	25	2/2/1995	No	96 Kg	183 CM	No	No	No	2	Pro & Farm	950,000$	950,000$	950,000$	950,000$	0$	0$	No	950,000$				Lien
Dryden Hunt	LEHIGH VALLEY Phantoms (PHI)	LW	24	11/24/1995	No	88 Kg	183 CM	No	No	No	2	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$				Lien
Frederick Gaudreau	LEHIGH VALLEY Phantoms (PHI)	C	27	5/1/1993	No	81 Kg	183 CM	No	No	No	3	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$			Lien
Jacob Josefson	LEHIGH VALLEY Phantoms (PHI)	C	29	3/2/1991	No	89 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No					Lien
Jacob Middleton	LEHIGH VALLEY Phantoms (PHI)	D	24	1/2/1996	No	95 Kg	191 CM	No	No	No	2	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$				Lien
Joel Lowry	LEHIGH VALLEY Phantoms (PHI)	LW	28	11/15/1991	No	82 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No					Lien
Joel Persson	LEHIGH VALLEY Phantoms (PHI)	D	26	3/4/1994	Yes	77 Kg	180 CM	No	No	No	3	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$
Jonny Brodzinski	LEHIGH VALLEY Phantoms (PHI)	C	27	6/19/1993	No	98 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$			Lien
Justin Falk	LEHIGH VALLEY Phantoms (PHI)	D	31	10/11/1988	No	101 Kg	196 CM	No	No	No	0	Pro & Farm					0$	0$	No					Lien
Kaden Fulcher	LEHIGH VALLEY Phantoms (PHI)	G	21	9/23/1998	Yes	83 Kg	188 CM	No	No	No	2	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$
Logan Shaw	LEHIGH VALLEY Phantoms (PHI)	RW	27	10/5/1992	No	95 Kg	191 CM	No	No	No	2	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$				Lien
Mark Letestu	LEHIGH VALLEY Phantoms (PHI)	C	35	2/4/1985	No	89 Kg	178 CM	No	No	No	5	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	Lien
Nick Moutrey	LEHIGH VALLEY Phantoms (PHI)	RW	25	6/24/1995	No	101 Kg	191 CM	No	No	No	3	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$			Lien
Ryan Fitzgerald	LEHIGH VALLEY Phantoms (PHI)	LW	25	10/19/1994	No	78 Kg	175 CM	No	No	No	5	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	Lien
Spencer Watson	LEHIGH VALLEY Phantoms (PHI)	LW	24	4/25/1996	Yes	77 Kg	155 CM	No	No	No	2	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$
Vinnie Hinostroza	LEHIGH VALLEY Phantoms (PHI)	LW/RW	26	4/3/1994	No	79 Kg	175 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No					Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	25.82	89 Kg	183 CM	2.36	725,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Joel Lowry	Curtis Lazar	Logan Shaw	31	1	2	2
2	Dryden Hunt	Frederick Gaudreau		31	1	2	2
3	Nick Moutrey	Jonny Brodzinski	Jacob Josefson	23	1	2	2
4	Joel Lowry	Jacob Josefson	Jonny Brodzinski	15	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Casey Nelson	Alexandre Carrier	31	1	2	2
2	Jacob Middleton	Joel Persson	26	1	2	2
3			23	1	2	2
4	Casey Nelson	Alexandre Carrier	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Joel Lowry	Curtis Lazar	Logan Shaw	55	1	2	2
2	Dryden Hunt	Jonny Brodzinski	Curtis Lazar	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Casey Nelson	Alexandre Carrier	55	1	2	2
2	Jacob Middleton	Joel Persson	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Curtis Lazar	Joel Lowry	55	1	2	2
2	Jonny Brodzinski	Dryden Hunt	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Casey Nelson	Alexandre Carrier	55	1	2	2
2	Jacob Middleton	Joel Persson	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Curtis Lazar	55	1	2	2	Casey Nelson	Alexandre Carrier	55	1	2	2
2	Jonny Brodzinski	45	1	2	2	Jacob Middleton	Joel Persson	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Curtis Lazar	Joel Lowry	55	1	2	2
2	Jonny Brodzinski	Dryden Hunt	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Casey Nelson	Alexandre Carrier	55	1	2	2
2	Jacob Middleton	Joel Persson	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Joel Lowry	Curtis Lazar	Logan Shaw	Casey Nelson	Alexandre Carrier

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Joel Lowry	Curtis Lazar	Logan Shaw	Casey Nelson	Alexandre Carrier

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Dryden Hunt, Jonny Brodzinski, Nick Moutrey	Dryden Hunt, Jonny Brodzinski	Dryden Hunt

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Joel Persson, ,	Joel Persson	Joel Persson,

Tirs de Pénalité
Logan Shaw, Curtis Lazar, , Joel Lowry, Dryden Hunt

Gardien
#1 : Colton Point, #2 : Kaden Fulcher

Lignes d'Attaque Perso. en Prol.
Logan Shaw, Curtis Lazar, , Joel Lowry, Dryden Hunt, Jonny Brodzinski, Jonny Brodzinski, Nick Moutrey, Frederick Gaudreau, Jacob Josefson, Ryan Fitzgerald

Lignes de Défense Perso. en Prol.
Casey Nelson, Alexandre Carrier, Jacob Middleton, Joel Persson,

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
	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	35	15
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
40	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$	1,595,000$	1,595,000$	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
Saison Régulière
34	80	28	32	0	5	6	5	4	259	250	9	40	15	14	0	2	5	3	1	120	110	10	40	13	18	0	3	1	2	3	139	140	-1	86	259	427	686	2	5	101	71	77	12	2640	843	862	876	89	2656	743	501	1233	285	49	17.19%	207	48	76.81%	2	1371	2560	53.55%	1257	2593	48.48%	616	1218	50.57%	1911	1384	2006	550	952	465
34	80	28	32	0	5	6	5	4	259	250	9	40	15	14	0	2	5	3	1	120	110	10	40	13	18	0	3	1	2	3	139	140	-1	86	259	427	686	2	5	101	71	77	12	2640	843	862	876	89	2656	743	501	1233	285	49	17.19%	207	48	76.81%	2	1371	2560	53.55%	1257	2593	48.48%	616	1218	50.57%	1911	1384	2006	550	952	465
Total Saison Régulière	160	56	64	0	10	12	10	8	518	500	18	80	30	28	0	4	10	6	2	240	220	20	80	26	36	0	6	2	4	6	278	280	-2	172	518	854	1372	4	10	202	142	154	24	5280	1686	1724	1752	178	5312	1486	1002	2466	570	98	17.19%	414	96	76.81%	4	2742	5120	53.55%	2514	5186	48.48%	1232	2436	50.57%	3822	2768	4013	1100	1904	930
Séries
34	4	0	4	0	0	0	0	0	10	14	-4	2	0	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	4	6	-2	0	10	20	30	0	0	2	7	1	0	131	33	39	36	23	157	56	50	63	20	2	10.00%	20	2	90.00%	0	81	155	52.26%	84	166	50.60%	33	65	50.77%	103	68	126	36	59	28
Total Séries	4	0	4	0	0	0	0	0	10	14	-4	2	0	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	4	6	-2	0	10	20	30	0	0	2	7	1	0	131	33	39	36	23	157	56	50	63	20	2	10.00%	20	2	90.00%	0	81	155	52.26%	84	166	50.60%	33	65	50.77%	103	68	126	36	59	28