LAAHS - Portland Pirates

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Stats d'équipe en Carrière

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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	TA	SP
1	Casey Mittelstadt (R)	X				100.00	63	42	95	83	74	65	76	69	67	63	69	49	75	54	54	67	40	63		0
2	Dominic Toninato	X				100.00	76	75	78	76	75	75	80	60	75	55	63	68	57	55	55	64	42	63		0
3	Blake Pietila		X	X		100.00	84	45	89	66	72	65	82	61	57	55	55	76	63	58	58	64	38	62		0
4	Ryan Carpenter	X		X		100.00	84	45	95	77	73	63	77	61	69	66	55	65	25	54	55	66	41	62		0
5	Eeli Tolvanen (R)		X	X		100.00	73	68	86	77	68	70	73	61	50	56	61	63	58	44	44	64	38	60		0
6	Michael Amadio	X				100.00	63	42	95	73	71	56	67	64	60	63	66	54	25	47	48	65	39	59		0
7	Kailer Yamamoto (R)	X		X		100.00	76	42	95	71	54	64	64	69	25	56	57	68	25	45	45	63	21	58		0
8	Lukas Vejdemo (R)	X	X	X		100.00	78	72	91	64	72	70	74	57	71	52	58	64	55	44	44	62	28	58		0
9	Justin Bailey			X		100.00	71	44	93	75	79	43	74	56	25	59	55	62	25	52	52	60	37	58		0
10	Martin Frk			X		100.00	77	44	95	71	75	54	71	64	25	63	56	52	25	47	47	61	37	58		0
11	David Kase (R)	X	X	X		100.00	71	63	91	62	63	60	60	61	76	60	57	62	54	44	44	61	21	57		0
12	Madison Bowey				X	100.00	79	67	74	77	74	67	72	59	25	56	48	72	25	49	49	61	32	63		0
13	Kyle Wood				X	100.00	87	90	79	68	90	70	74	54	25	52	42	68	40	44	44	57	54	62		0
14	Ben Thomas				X	100.00	75	69	88	62	69	77	85	49	25	40	40	64	38	55	55	54	56	59		0
15	Oliver Kylington				X	100.00	61	41	91	79	67	60	76	56	25	50	48	60	25	47	47	59	44	59		0
16	Joakim Ryan				X	100.00	75	56	89	77	68	60	71	58	25	51	47	57	25	54	55	58	43	59		0
17	Ryan Collins				X	100.00	82	81	84	63	81	68	74	45	25	34	41	63	39	44	44	52	40	58		0
Rayé
1	Filip Chlapik	X				100.00	76	72	84	77	72	73	83	76	78	72	71	68	58	54	54	58	68	68		0
2	John Quenneville		X			100.00	76	44	92	73	72	59	66	65	37	50	57	61	25	51	51	61	19	58		0
3	Anthony Angello (R)	X				100.00	78	79	77	58	79	65	67	57	71	49	61	64	58	44	44	61	19	57		0
4	Cliff Pu (R)	X		X		100.00	78	72	93	64	72	74	81	48	60	45	45	62	43	44	44	55	20	55		0
5	John Stevens	X				100.00	71	69	77	62	69	60	63	52	65	47	51	60	48	46	46	55	20	54		0
6	Cole Bardreau	X		X		100.00	68	66	72	63	66	58	60	54	68	44	57	61	54	53	53	58	20	54	X	0
7	Maxime Fortier (R)			X		100.00	74	65	96	61	65	58	60	50	50	49	46	61	44	44	44	54	20	53		0
8	Radel Fazleev	X	X			100.00	76	66	99	63	66	56	59	48	60	46	44	61	42	44	44	54	20	52		0
9	Josh Melnick (R)	X		X		100.00	71	62	91	68	62	48	48	51	64	53	44	59	42	44	44	53	20	52		0
10	Andrew Nielsen				X	100.00	71	79	53	68	79	63	67	48	25	40	39	61	37	55	55	51	19	57		0
11	Macoy Erkamps				X	100.00	73	71	79	67	71	54	57	45	25	36	39	59	37	44	44	50	20	54		0

	MOYENNE D'ÉQUIPE					100.00	75	62	86	69	71	63	70	57	48	52	53	62	42	49	49	59	33	58

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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	Pheonix Copley	100.00	69	64	61	83	72	66	61	68	75	69	61	46	46	68	20	65	0
2	Kaden Fulcher (R)	100.00	43	55	69	74	40	44	40	46	40	40	30	44	44	44	44	47	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	56	60	65	79	56	55	51	57	58	55	46	45	45	56	32	56

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dallas Eakins	64	61	41	44	62	48	53	USA	48	3	60,000$

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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Andrew Nielsen	Portland Pirates (BUF)	D	21	1996-11-13	No	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien
Anthony Angello	Portland Pirates (BUF)	C	22	1996-03-06	Yes	209 Lbs	6 ft5	No	No	No	2	Pro & Farm	833,750$	0$	0$	No	833,750$		Lien
Ben Thomas	Portland Pirates (BUF)	D	22	1996-05-27	No	187 Lbs	6 ft1	No	No	No	1	Pro & Farm	715,000$	0$	0$	No			Lien
Blake Pietila	Portland Pirates (BUF)	LW/RW	25	1993-02-20	No	200 Lbs	5 ft11	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien
Casey Mittelstadt	Portland Pirates (BUF)	C	19	1998-11-22	Yes	201 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Cliff Pu	Portland Pirates (BUF)	C/RW	20	1998-06-03	Yes	192 Lbs	6 ft2	No	No	No	3	Pro & Farm	745,000$	0$	0$	No	745,000$	745,000$	Lien
Cole Bardreau	Portland Pirates (BUF)	C/RW	24	1993-07-22	No	185 Lbs	5 ft10	No	Yes	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Lien
David Kase	Portland Pirates (BUF)	C/LW/RW	21	1997-01-28	Yes	170 Lbs	5 ft11	No	No	No	3	Pro & Farm	768,333$	0$	0$	No	768,333$	768,333$	Lien
Dominic Toninato	Portland Pirates (BUF)	C	24	1994-03-08	No	200 Lbs	6 ft2	No	No	No	1	Pro & Farm	775,000$	0$	0$	No			Lien
Eeli Tolvanen	Portland Pirates (BUF)	LW/RW	19	1999-04-22	Yes	191 Lbs	5 ft10	No	No	No	3	Pro & Farm	894,166$	0$	0$	No	894,166$	894,166$	Lien
Filip Chlapik	Portland Pirates (BUF)	C	21	1997-06-03	No	196 Lbs	6 ft1	No	No	No	2	Pro & Farm	728,333$	0$	0$	No	728,333$		Lien
Joakim Ryan	Portland Pirates (BUF)	D	25	1993-06-17	No	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	725,000$	0$	0$	No			Lien
John Quenneville	Portland Pirates (BUF)	LW	22	1996-04-16	No	195 Lbs	6 ft1	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$		Lien
John Stevens	Portland Pirates (BUF)	C	24	1994-04-17	No	184 Lbs	6 ft2	No	No	No	0	Pro & Farm		0$	0$	No			Lien
Josh Melnick	Portland Pirates (BUF)	C/RW	22	1995-07-10	Yes	174 Lbs	5 ft10	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Justin Bailey	Portland Pirates (BUF)	RW	23	1995-07-01	No	214 Lbs	6 ft3	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Kaden Fulcher	Portland Pirates (BUF)	G	19	1998-09-23	Yes	183 Lbs	6 ft3	No	No	No	3	Pro & Farm	716,666$	0$	0$	No	716,666$	716,666$	Lien
Kailer Yamamoto	Portland Pirates (BUF)	C/RW	19	1998-09-29	Yes	153 Lbs	5 ft8	No	No	No	2	Pro & Farm	894,166$	0$	0$	No	894,166$		Lien
Kyle Wood	Portland Pirates (BUF)	D	22	1996-05-04	No	235 Lbs	6 ft7	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Lukas Vejdemo	Portland Pirates (BUF)	C/LW/RW	22	1996-01-25	Yes	194 Lbs	6 ft2	No	No	No	2	Pro & Farm	792,500$	0$	0$	No	792,500$		Lien
Macoy Erkamps	Portland Pirates (BUF)	D	23	1995-02-02	No	196 Lbs	6 ft0	No	No	No	0	Pro & Farm		0$	0$	No			Lien
Madison Bowey	Portland Pirates (BUF)	D	23	1995-04-22	No	198 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,000,000$	0$	0$	No			Lien
Martin Frk	Portland Pirates (BUF)	RW	24	1993-10-04	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Maxime Fortier	Portland Pirates (BUF)	RW	20	1997-12-15	Yes	183 Lbs	5 ft10	No	No	No	2	Pro & Farm	759,166$	0$	0$	No	759,166$		Lien
Michael Amadio	Portland Pirates (BUF)	C	22	1996-05-13	No	190 Lbs	6 ft1	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Lien
Oliver Kylington	Portland Pirates (BUF)	D	21	1997-05-19	No	183 Lbs	6 ft0	No	No	No	1	Pro & Farm	730,833$	0$	0$	No			Lien
Pheonix Copley	Portland Pirates (BUF)	G	26	1992-01-18	No	200 Lbs	6 ft4	No	No	No	3	Pro & Farm	1,100,000$	0$	0$	No	1,100,000$	1,100,000$	Lien
Radel Fazleev	Portland Pirates (BUF)	C/LW	22	1996-01-06	No	176 Lbs	6 ft1	No	No	No	0	Pro & Farm		0$	0$	No			Lien
Ryan Carpenter	Portland Pirates (BUF)	C/RW	27	1991-01-18	No	200 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	Lien
Ryan Collins	Portland Pirates (BUF)	D	22	1996-05-06	No	212 Lbs	6 ft5	No	No	No	1	Pro & Farm	880,233$	0$	0$	No			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
30	22.20	193 Lbs	6 ft1	1.63	721,938$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Blake Pietila		Ryan Carpenter	40	1	2	2
2	Eeli Tolvanen	Casey Mittelstadt	Lukas Vejdemo	30	1	2	2
3	David Kase	Dominic Toninato	Kailer Yamamoto	20	1	2	2
4		Michael Amadio	Justin Bailey	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Madison Bowey	Kyle Wood	40	1	2	2
2	Ben Thomas	Joakim Ryan	30	1	2	2
3	Oliver Kylington	Ryan Collins	20	1	2	2
4	Madison Bowey	Kyle Wood	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Blake Pietila		Ryan Carpenter	60	1	2	2
2	Eeli Tolvanen	Casey Mittelstadt	Lukas Vejdemo	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Madison Bowey	Kyle Wood	60	1	2	2
2	Ben Thomas	Joakim Ryan	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Casey Mittelstadt	60	1	2	2
2	Dominic Toninato	Ryan Carpenter	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Madison Bowey	Kyle Wood	60	1	2	2
2	Ben Thomas	Joakim Ryan	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	Madison Bowey	Kyle Wood	60	1	2	2
2	Casey Mittelstadt	40	1	2	2	Ben Thomas	Joakim Ryan	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Casey Mittelstadt	60	1	2	2
2	Dominic Toninato	Ryan Carpenter	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Madison Bowey	Kyle Wood	60	1	2	2
2	Ben Thomas	Joakim Ryan	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Blake Pietila		Ryan Carpenter	Madison Bowey	Kyle Wood

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Blake Pietila		Ryan Carpenter	Madison Bowey	Kyle Wood

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Martin Frk, Michael Amadio, Kailer Yamamoto	Martin Frk, Michael Amadio	Kailer Yamamoto

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Oliver Kylington, Ryan Collins, Ben Thomas	Oliver Kylington	Ryan Collins, Ben Thomas

Tirs de Pénalité
, Casey Mittelstadt, Dominic Toninato, Ryan Carpenter, Blake Pietila

Gardien
#1 : Pheonix Copley, #2 : Kaden Fulcher

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

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

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	30	13
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
41	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$	2,165,815$	2,165,815$	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
2016	82	33	29	0	5	8	5	2	403	387	16	41	20	11	0	4	1	3	2	219	178	41	41	13	18	0	1	7	2	0	184	209	-25	66	403	631	1034	1	0	101	161	131	12	3097	988	1092	997	42	2977	1011	1298	1915	232	78	33.62%	229	69	69.87%	6	911	1902	47.90%	872	1840	47.39%	752	1562	48.14%	1780	998	1651	756	1539	770
2017	82	47	24	0	4	2	3	2	388	284	104	41	21	14	0	3	1	0	2	190	145	45	41	26	10	0	1	1	3	0	198	139	59	94	388	637	1025	4	2	87	152	142	9	3160	971	1098	1073	33	2795	985	1015	1892	239	75	31.38%	218	62	71.56%	5	1029	1868	55.09%	986	1805	54.63%	754	1381	54.60%	1819	1044	1611	753	1525	767
2018	82	29	39	0	5	5	2	2	367	407	-40	41	13	19	0	4	2	2	1	198	212	-14	41	16	20	0	1	3	0	1	169	195	-26	58	367	609	976	1	0	89	128	143	10	3055	991	1017	1030	31	2997	978	1017	1769	221	65	29.41%	242	82	66.12%	7	837	1747	47.91%	745	1629	45.73%	765	1503	50.90%	1737	970	1678	765	1547	767
2019	82	18	51	0	5	2	1	5	387	540	-153	41	11	22	0	2	2	0	4	197	276	-79	41	7	29	0	3	0	1	1	190	264	-74	36	387	614	1001	1	0	87	156	138	13	3035	959	1048	1009	37	3100	1108	1268	1823	225	67	29.78%	245	106	56.73%	4	879	1622	54.19%	765	1483	51.58%	899	1709	52.60%	1728	975	1705	746	1523	757
Total Saison Régulière	328	127	143	0	19	17	11	11	1545	1618	-73	164	65	66	0	13	6	5	9	804	811	-7	164	62	77	0	6	11	6	2	741	807	-66	254	1545	2491	4036	7	2	364	597	554	44	12347	3909	4255	4109	143	11869	4082	4598	7399	917	285	31.08%	934	319	65.85%	22	3656	7139	51.21%	3368	6757	49.84%	3170	6155	51.50%	7066	3989	6646	3020	6134	3062