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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	Âge	Contrat	Salaire
1	Ridly Greig	X	X			99.00	83	58	74	79	67	68	81	69	66	64	71	75	25	55	55	0	50	70	0	22	2	863,333$
2	Blake Wheeler			X		98.00	67	54	87	80	84	63	80	69	60	67	70	61	65	91	95	0	50	70	0	38	2	8,250,000$
3	Juuso Parssinen	X				99.00	79	44	91	77	75	68	84	72	57	59	71	66	25	55	55	0	50	68	0	23	2	850,833$
4	Travis Boyd	X		X		99.00	67	42	95	70	68	54	66	64	61	79	64	65	25	65	65	0	50	67	0	31	2	1,750,000$
5	Arthur Kaliyev		X	X		100.00	67	42	91	79	70	61	71	73	25	63	66	59	75	62	63	0	50	67	0	23	1	894,167$
6	Dominik Kubalik			X		100.00	69	52	91	76	68	62	95	78	37	55	68	61	25	67	67	0	50	66	0	29	3	2,500,000$
7	Oliver Wahlstrom			X		100.00	76	44	91	80	78	58	55	70	37	61	57	65	61	62	63	0	50	66	0	24	1	894,167$
8	Raphael Lavoie	X		X		100.00	74	75	73	68	75	78	82	64	80	57	68	64	65	44	44	0	50	65	0	24	3	874,125$
9	Milan Lucic			X		100.00	87	70	83	73	85	59	97	48	39	63	59	62	25	88	89	0	50	63	0	36	2	4,100,000$
10	Jakob Pelletier		X			99.00	71	42	94	75	59	54	62	64	46	62	58	70	25	47	47	0	50	63	0	23	2	863,333$
11	Liam O'Brien		X	X		100.00	96	99	44	68	82	54	83	64	32	61	58	65	25	62	62	0	50	63	0	30	3	750,000$
12	Gabriel Fortier (R)		X			100.00	71	62	93	64	62	76	81	56	50	50	58	61	55	45	45	0	47	58	0	24	1	791,667$
13	Kevin Shattenkirk				X	99.00	75	44	90	79	74	68	85	71	25	64	50	68	74	83	83	0	50	70	0	35	2	1,050,000$
14	Erik Gustafsson				X	99.00	71	53	86	81	72	72	90	70	25	65	49	66	75	71	73	0	50	70	0	32	1	3,000,000$
15	Alexandre Carrier				X	100.00	71	42	82	72	63	76	75	66	25	56	48	88	25	66	67	0	50	68	0	27	2	2,500,000$
16	Arber Xhekaj				X	100.00	93	99	51	70	90	68	73	69	25	52	49	70	25	56	56	0	50	67	0	23	2	828,333$
17	Dakota Mermis				X	100.00	75	55	80	67	72	64	75	62	25	49	48	75	79	59	59	0	50	64	0	30	2	2,100,000$
18	Dmitri Samorukov				X	100.00	75	69	89	65	69	74	82	47	25	37	41	60	39	44	44	0	47	56	0	25	1	1,000,000$
Rayé
1	Riley Tufte		X			100.00	78	85	63	68	85	79	84	62	50	57	62	66	59	45	45	0	44	64	0	26	1	925,000$
2	Brennan Othmann (R)		X			100.00	67	64	73	76	64	69	71	62	50	60	60	60	57	44	44	0	44	63	0	21	3	863,333$
3	Oskar Olausson (R)			X		100.00	72	68	82	66	68	67	69	59	50	51	63	62	60	44	44	0	42	60	0	21	2	894,167$
4	Brayden Pachal				X	100.00	91	58	72	72	73	65	75	63	25	49	48	79	25	51	52	0	44	67	0	25	2	2,000,000$
5	Jacob Larsson				X	100.00	74	72	78	65	72	71	76	57	25	50	45	67	43	64	64	0	42	61	0	27	2	1,400,000$
6	Billy Sweezey				X	100.00	73	76	65	65	76	70	78	43	25	31	39	58	37	44	44	0	42	53	0	28	1	1,000,000$

	MOYENNE D'ÉQUIPE					99.67	76	61	80	72	73	67	78	63	40	57	57	66	46	59	59	0	48	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	Philipp Grubauer	100.00	64	67	67	71	67	60	69	65	65	63	85	67	70	0	45	66	0
2	Mads Sogaard	99.00	60	54	68	86	63	63	59	66	63	62	30	46	46	0	50	62	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	62	61	68	79	65	62	64	66	64	63	58	57	58	0	48	64

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Wade Flaherty	40	40	40	40	40	40	40	CAN	51	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	GT	FO%	FOT	P/20	S1	S2	S3
1	Ridly Greig	Oildogs (Edm)	C/LW	8	3	7	10	-1	10	26	22	32	5	19	9.38%	9	163	20.41	3	3	6	11	38	0	0	0	2	41	1	0	56.60%	159	1.23	1	1	0
2	Kevin Shattenkirk	Oildogs (Edm)	D	8	3	4	7	-1	4	22	9	10	6	6	30.00%	14	182	22.83	1	2	3	6	36	0	0	0	0	37	0	0	0.00%	0	0.77	0	0	0
3	Alexandre Carrier	Oildogs (Edm)	D	8	1	5	6	-1	0	1	12	16	7	11	6.25%	10	177	22.23	1	2	3	8	39	0	1	1	0	33	0	0	0.00%	0	0.67	0	0	0
4	Juuso Parssinen	Oildogs (Edm)	C	8	2	3	5	2	0	14	21	24	3	13	8.33%	0	152	19.06	0	0	0	7	36	1	0	1	4	21	1	0	44.27%	192	0.66	1	0	0
5	Blake Wheeler	Oildogs (Edm)	RW	5	1	4	5	-4	0	9	7	13	5	14	7.69%	0	116	23.37	0	1	1	6	25	0	0	0	0	23	0	1	48.57%	70	0.86	0	0	0
6	Erik Gustafsson	Oildogs (Edm)	D	8	0	5	5	0	10	15	13	11	5	10	0.00%	8	181	22.69	0	2	2	8	36	0	0	0	0	34	0	0	0.00%	0	0.55	0	0	0
7	Arthur Kaliyev	Oildogs (Edm)	LW/RW	8	3	2	5	0	0	0	8	19	7	8	15.79%	0	128	16.11	0	0	0	2	38	0	1	1	1	8	1	0	9.09%	11	0.78	0	1	0
8	Liam O'Brien	Oildogs (Edm)	LW/RW	8	2	2	4	1	18	26	8	15	3	7	13.33%	3	106	13.36	0	0	0	0	0	0	0	0	0	0	0	0	41.67%	12	0.75	0	1	0
9	Travis Boyd	Oildogs (Edm)	C/RW	8	3	1	4	1	4	6	9	18	6	10	16.67%	0	147	18.38	1	0	1	6	36	0	0	0	0	16	0	0	53.85%	13	0.54	0	0	1
10	Dakota Mermis	Oildogs (Edm)	D	8	1	2	3	1	12	12	5	6	5	3	16.67%	11	122	15.33	0	0	0	2	4	0	0	0	0	3	0	0	0.00%	0	0.49	0	0	0
11	Raphael Lavoie	Oildogs (Edm)	C/RW	8	0	3	3	1	2	2	14	14	4	12	0.00%	0	107	13.41	0	0	0	0	0	0	0	0	0	0	0	0	45.28%	106	0.56	0	0	0
12	Dominik Kubalik	Oildogs (Edm)	RW	8	1	1	2	-3	4	4	2	10	1	9	10.00%	1	54	6.84	0	0	0	0	1	0	0	0	0	12	0	0	18.18%	11	0.73	0	0	0
13	Arber Xhekaj	Oildogs (Edm)	D	8	1	1	2	-2	20	21	3	12	4	5	8.33%	5	166	20.75	1	1	2	8	37	0	0	0	0	26	0	0	0.00%	0	0.24	0	0	0
14	Jakob Pelletier	Oildogs (Edm)	LW	8	1	1	2	1	4	12	8	25	3	11	4.00%	1	130	16.26	0	1	1	5	36	0	0	0	0	0	0	0	12.50%	8	0.31	0	0	1
15	Oliver Wahlstrom	Oildogs (Edm)	RW	8	1	1	2	1	0	1	10	9	4	11	11.11%	1	110	13.81	0	0	0	1	3	0	0	0	0	0	0	0	33.33%	3	0.36	0	0	0
16	Gabriel Fortier	Oildogs (Edm)	LW	6	1	0	1	-3	0	4	0	4	0	2	25.00%	0	26	4.49	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	0.74	0	0	0
17	Milan Lucic	Oildogs (Edm)	RW	8	0	0	0	0	0	2	0	0	0	0	0.00%	1	9	1.18	0	0	0	0	5	0	0	0	0	0	0	0	25.00%	4	0.00	0	0	0
18	Dmitri Samorukov	Oildogs (Edm)	D	6	0	0	0	1	6	11	1	6	0	4	0.00%	5	94	15.80	0	0	0	0	2	0	0	0	0	8	0	0	0.00%	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				137	24	42	66	-6	94	188	152	244	68	155	9.84%	69	2179	15.91	7	12	19	70	380	1	2	3	7	271	3	1	46.61%	590	0.61	2	3	2

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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	PCT	GAA	MP	GA	SA	ST	BG	S1
1	Philipp Grubauer	Oildogs (Edm)	7	2	4	0.893	3.65	378	23	214	7	1	1
2	Mads Sogaard	Oildogs (Edm)	2	1	1	0.870	3.56	101	6	46	1	7	0
Stats d'équipe Total ou en Moyenne			9	3	5	0.888	3.63	480	29	260	8	8	1

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Alexandre Carrier	Oildogs (Edm)	D	27	1996-10-08	No	174 Lbs	5 ft11	No	No	No	2	Pro & Farm	2,500,000$	2,500,000$	0$	0$	No	2,500,000$		Lien / Lien NHL
Arber Xhekaj	Oildogs (Edm)	D	23	2001-01-30	No	238 Lbs	6 ft4	No	No	No	2	Pro & Farm	828,333$	828,333$	0$	0$	No	828,333$		Lien
Arthur Kaliyev	Oildogs (Edm)	LW/RW	23	2001-06-25	No	189 Lbs	6 ft2	No	No	No	1	Pro & Farm	894,167$	894,167$	0$	0$	No			Lien
Billy Sweezey	Oildogs (Edm)	D	28	1996-02-06	No	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	0$	0$	No			Lien
Blake Wheeler	Oildogs (Edm)	RW	38	1986-08-30	No	224 Lbs	6 ft5	No	No	No	2	Pro & Farm	8,250,000$	8,250,000$	0$	0$	No	8,250,000$		Lien / Lien NHL
Brayden Pachal	Oildogs (Edm)	D	25	1999-08-23	No	200 Lbs	6 ft0	No	No	No	2	Pro & Farm	2,000,000$	2,000,000$	0$	0$	No	2,000,000$		Lien / Lien NHL
Brennan Othmann	Oildogs (Edm)	LW	21	2003-01-05	Yes	174 Lbs	6 ft0	No	No	No	3	Pro & Farm	863,333$	863,333$	0$	0$	No	863,333$	863,333$	Lien
Dakota Mermis	Oildogs (Edm)	D	30	1994-01-05	No	195 Lbs	6 ft0	No	No	No	2	Pro & Farm	2,100,000$	2,100,000$	0$	0$	No	2,100,000$		Lien / Lien NHL
Dmitri Samorukov	Oildogs (Edm)	D	25	1999-06-16	No	181 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	0$	0$	No			Lien / Lien NHL
Dominik Kubalik	Oildogs (Edm)	RW	29	1995-08-21	No	178 Lbs	6 ft2	No	No	No	3	Pro & Farm	2,500,000$	2,500,000$	0$	0$	No	2,500,000$	2,500,000$	Lien / Lien NHL
Erik Gustafsson	Oildogs (Edm)	D	32	1992-03-14	No	196 Lbs	6 ft0	No	No	No	1	Pro & Farm	3,000,000$	3,000,000$	0$	0$	No			Lien / Lien NHL
Gabriel Fortier	Oildogs (Edm)	LW	24	2000-02-06	Yes	170 Lbs	5 ft10	No	No	No	1	Pro & Farm	791,667$	791,667$	0$	0$	No			Lien
Jacob Larsson	Oildogs (Edm)	D	27	1997-04-29	No	190 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,400,000$	1,400,000$	0$	0$	No	1,400,000$		Lien / Lien NHL
Jakob Pelletier	Oildogs (Edm)	LW	23	2001-03-07	No	165 Lbs	5 ft9	No	No	No	2	Pro & Farm	863,333$	863,333$	0$	0$	No	863,333$		Lien
Juuso Parssinen	Oildogs (Edm)	C	23	2001-01-02	No	202 Lbs	6 ft2	No	No	No	2	Pro & Farm	850,833$	850,833$	0$	0$	No	850,833$		Lien
Kevin Shattenkirk	Oildogs (Edm)	D	35	1989-01-29	No	207 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,050,000$	1,050,000$	0$	0$	No	1,050,000$		Lien / Lien NHL
Liam O'Brien	Oildogs (Edm)	LW/RW	30	1994-07-29	No	215 Lbs	6 ft1	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Mads Sogaard	Oildogs (Edm)	G	23	2000-12-13	No	198 Lbs	6 ft8	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No			Lien
Milan Lucic	Oildogs (Edm)	RW	36	1988-06-07	No	231 Lbs	6 ft3	No	No	No	2	Pro & Farm	4,100,000$	4,100,000$	0$	0$	No	4,100,000$		Lien / Lien NHL
Oliver Wahlstrom	Oildogs (Edm)	RW	24	2000-06-13	No	211 Lbs	6 ft2	No	No	No	1	Pro & Farm	894,167$	894,167$	0$	0$	No			Lien / Lien NHL
Oskar Olausson	Oildogs (Edm)	RW	21	2002-10-11	Yes	180 Lbs	6 ft1	No	No	No	2	Pro & Farm	894,167$	894,167$	0$	0$	No	894,167$		Lien
Philipp Grubauer	Oildogs (Edm)	G	32	1991-11-21	No	187 Lbs	6 ft1	No	No	No	2	Pro & Farm	5,900,000$	5,900,000$	0$	0$	No	5,900,000$		Lien / Lien NHL
Raphael Lavoie	Oildogs (Edm)	C/RW	24	2000-09-25	No	196 Lbs	6 ft4	No	No	No	3	Pro & Farm	874,125$	874,125$	0$	0$	No	874,125$	874,125$	Lien
Ridly Greig (Contrat à 1 Volet)	Oildogs (Edm)	C/LW	22	2002-08-08	No	180 Lbs	6 ft0	No	No	No	2	Pro & Farm	863,333$	863,333$	863,333$	863,333$	No	863,333$		Lien
Riley Tufte	Oildogs (Edm)	LW	26	1998-04-10	No	220 Lbs	6 ft6	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No			Lien / Lien NHL
Travis Boyd	Oildogs (Edm)	C/RW	31	1993-09-14	No	189 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,750,000$	1,750,000$	0$	0$	No	1,750,000$		Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	27.00	196 Lbs	6 ft2	1.85	1,837,210$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Arthur Kaliyev	Ridly Greig	Blake Wheeler	30	1	2	2
2	Jakob Pelletier	Juuso Parssinen	Travis Boyd	30	1	2	2
3	Liam O'Brien	Raphael Lavoie	Oliver Wahlstrom	25	1	2	2
4	Gabriel Fortier	Blake Wheeler	Dominik Kubalik	15	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Erik Gustafsson	Kevin Shattenkirk	30	1	2	2
2	Alexandre Carrier	Arber Xhekaj	30	1	2	2
3	Dakota Mermis	Dmitri Samorukov	25	1	2	2
4	Erik Gustafsson	Kevin Shattenkirk	15	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Arthur Kaliyev	Ridly Greig	Blake Wheeler	60	1	2	2
2	Jakob Pelletier	Juuso Parssinen	Travis Boyd	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Erik Gustafsson	Kevin Shattenkirk	60	1	2	2
2	Alexandre Carrier	Arber Xhekaj	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Blake Wheeler	Ridly Greig	60	1	2	2
2	Juuso Parssinen	Travis Boyd	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Erik Gustafsson	Kevin Shattenkirk	60	1	2	2
2	Alexandre Carrier	Arber Xhekaj	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Blake Wheeler	60	1	2	2	Erik Gustafsson	Kevin Shattenkirk	60	1	2	2
2	Ridly Greig	40	1	2	2	Alexandre Carrier	Arber Xhekaj	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Blake Wheeler	Ridly Greig	60	1	2	2
2	Juuso Parssinen	Travis Boyd	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Erik Gustafsson	Kevin Shattenkirk	60	1	2	2
2	Alexandre Carrier	Arber Xhekaj	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Arthur Kaliyev	Ridly Greig	Blake Wheeler	Erik Gustafsson	Kevin Shattenkirk

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Arthur Kaliyev	Ridly Greig	Blake Wheeler	Erik Gustafsson	Kevin Shattenkirk

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Milan Lucic, Oliver Wahlstrom, Dominik Kubalik	Milan Lucic, Oliver Wahlstrom	Dominik Kubalik

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Dakota Mermis, Dmitri Samorukov, Alexandre Carrier	Dakota Mermis	Dmitri Samorukov, Alexandre Carrier

Tirs de Pénalité
Blake Wheeler, Ridly Greig, Juuso Parssinen, Travis Boyd, Arthur Kaliyev

Gardien
#1 : Mads Sogaard, #2 : Philipp Grubauer

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
1	Bulls	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	6	1	5	4	1.000	10	17	27	0	0	9	6	9	0	73	86	79	81	0	46	14	16	43	13	4	30.77%	8	0	100.00%	0	125	269	46.47%	122	264	46.21%	62	140	44.29%	180	116	191	63	107	53
2	Comets	2	0	2	0	0	0	0	0	6	11	-5	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	6	10	16	0	0	9	6	9	0	66	86	79	81	0	58	16	24	46	13	2	15.38%	12	4	66.67%	1	125	269	46.47%	122	264	46.21%	62	140	44.29%	180	116	191	63	107	53
3	Lumberjacks	2	0	2	0	0	0	0	0	3	9	-6	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	3	6	9	0	0	9	6	9	0	62	86	79	81	0	77	22	26	44	13	1	7.69%	13	3	76.92%	0	125	269	46.47%	122	264	46.21%	62	140	44.29%	180	116	191	63	107	53
4	Moose	2	1	1	0	0	0	0	0	5	5	0	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	5	10	15	0	0	9	6	9	0	45	86	79	81	0	79	18	32	56	7	0	0.00%	15	4	73.33%	0	125	269	46.47%	122	264	46.21%	62	140	44.29%	180	116	191	63	107	53
	Total	8	3	5	0	0	0	0	0	24	29	-5	4	2	2	0	0	0	0	0	10	12	-2	4	1	3	0	0	0	0	0	14	17	-3	6	0.375	24	43	67	0	0	9	6	9	0	246	86	79	81	0	260	70	98	189	46	7	15.22%	48	11	77.08%	1	125	269	46.47%	122	264	46.21%	62	140	44.29%	180	116	191	63	107	53
	_Since Last GM Reset	8	3	5	0	0	0	0	0	24	29	-5	4	2	2	0	0	0	0	0	10	12	-2	4	1	3	0	0	0	0	0	14	17	-3	6	0.375	24	43	67	0	0	9	6	9	0	246	86	79	81	0	260	70	98	189	46	7	15.22%	48	11	77.08%	1	125	269	46.47%	122	264	46.21%	62	140	44.29%	180	116	191	63	107	53
	_Vs Conference	8	3	5	0	0	0	0	0	24	29	-5	4	2	2	0	0	0	0	0	10	12	-2	4	1	3	0	0	0	0	0	14	17	-3	6	0.375	24	43	67	0	0	9	6	9	0	246	86	79	81	0	260	70	98	189	46	7	15.22%	48	11	77.08%	1	125	269	46.47%	122	264	46.21%	62	140	44.29%	180	116	191	63	107	53
	_Vs Division	4	3	5	0	0	0	0	0	16	15	1	2	2	2	0	0	0	0	0	6	7	-1	2	1	3	0	0	0	0	0	10	8	2	6	0.750	16	27	43	0	0	9	6	9	0	139	86	79	81	0	104	30	40	89	26	6	23.08%	20	4	80.00%	1	125	269	46.47%	122	264	46.21%	62	140	44.29%	180	116	191	63	107	53

			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
8	6	W1	24	43	67	246	260	70	98	189	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	3	5	0	0	0	0	24	29

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	10	12

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	14	17

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	5	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
46	7	15.22%	48	11	77.08%	1

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
86	79	81	0	9	6	9	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
125	269	46.47%	122	264	46.21%	62	140	44.29%

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
180	116	191	63	107	53

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
1 - 2024-09-17	1	Moose	2	Oildogs	4	W	Sommaire du Match
3 - 2024-09-19	16	Oildogs	4	Comets	7	L	Sommaire du Match
4 - 2024-09-20	22	Oildogs	3	Lumberjacks	6	L	Sommaire du Match
6 - 2024-09-22	35	Comets	4	Oildogs	2	L	Sommaire du Match
7 - 2024-09-23	37	Oildogs	6	Bulls	1	W	Sommaire du Match
8 - 2024-09-24	46	Oildogs	1	Moose	3	L	Sommaire du Match
11 - 2024-09-27	60	Lumberjacks	3	Oildogs	0	L	Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
16 - 2024-10-02	80	Bulls	3	Oildogs	4	W	Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	28	10
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
0	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$	4,690,413$	2,728,929$	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$	1	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
Séries
2021	12	7	5	0	0	0	0	0	56	52	4	5	2	3	0	0	0	0	0	21	24	-3	7	5	2	0	0	0	0	0	35	28	7	14	56	99	155	0	0	21	16	16	3	486	162	142	162	20	473	117	124	288	55	16	29.09%	59	15	74.58%	0	217	472	45.97%	202	492	41.06%	88	211	41.71%	277	190	308	93	152	71
Total Séries	12	7	5	0	0	0	0	0	56	52	4	5	2	3	0	0	0	0	0	21	24	-3	7	5	2	0	0	0	0	0	35	28	7	14	56	99	155	0	0	21	16	16	3	486	162	142	162	20	473	117	124	288	55	16	29.09%	59	15	74.58%	0	217	472	45.97%	202	492	41.06%	88	211	41.71%	277	190	308	93	152	71