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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	Andreas Athanasiou			X		97.00	63	64	91	89	71	64	72	71	66	70	58	69	77	71	72	0	48	70	0	30	3	2,650,000$
2	Anthony Beauvillier		X	X		100.00	73	43	95	85	66	65	88	72	53	65	58	69	39	73	76	0	56	68	0	27	1	4,150,000$
3	Beck Malenstyn	X	X			99.00	95	57	90	73	76	67	82	66	41	65	58	89	25	55	55	0	53	68	0	26	3	888,888$
4	Jonny Brodzinski	X				98.00	67	43	95	73	78	58	85	71	70	68	60	65	25	60	61	0	53	67	0	31	1	888,888$
5	Brett Seney	X	X			100.00	65	61	75	77	61	80	84	66	80	64	63	62	60	52	52	0	53	66	0	28	2	888,888$
6	Shane Wright (R)	X				100.00	77	72	90	76	72	68	70	64	80	60	64	66	61	44	44	0	54	66	0	20	3	918,333$
7	Brandon Duhaime		X	X		100.00	91	99	75	77	78	57	83	66	36	60	57	81	25	63	64	0	54	66	0	27	1	750,000$
8	Parker Kelly		X			100.00	86	45	88	74	68	59	85	63	33	61	59	81	25	61	61	0	53	65	0	25	3	888,888$
9	Austin Watson		X	X		100.00	91	99	33	78	82	48	71	64	25	56	57	67	53	72	72	0	53	64	0	32	1	1,500,000$
10	Radim Zohorna			X		100.00	86	85	82	68	85	75	78	65	67	62	56	61	59	52	52	0	53	64	0	28	2	2,200,000$
11	Mitchell Stephens	X				100.00	61	41	94	72	69	53	86	65	79	54	59	74	25	56	56	0	54	63	0	27	1	775,000$
12	Matthew Phillips	X		X		100.00	61	39	99	68	53	56	70	69	34	61	56	63	25	47	47	0	51	61	0	26	2	775,000$
13	Jake Walman				X	100.00	69	42	80	76	63	79	80	69	25	51	60	91	25	64	65	0	53	70	0	28	3	3,400,000$
14	Darren Raddysh				X	100.00	73	53	91	74	73	77	92	65	25	65	49	74	25	61	62	0	53	69	0	28	2	888,888$
15	Alex Goligoski				X	100.00	71	42	85	80	67	65	60	69	25	62	47	71	80	88	89	0	48	69	0	39	3	2,500,000$
16	Mark Giordano				X	100.00	76	56	71	79	74	70	79	65	25	50	49	85	79	88	89	0	57	69	0	41	1	6,750,000$
17	Adam Boqvist				X	100.00	61	41	99	82	64	75	60	77	25	60	48	67	25	63	63	0	80	68	0	24	2	2,600,000$
18	Dennis Gilbert				X	100.00	82	85	86	70	81	59	61	62	25	53	48	72	25	54	54	0	53	65	0	27	3	888,888$
Rayé
1	Cole Koepke			X		100.00	77	71	91	63	71	78	82	64	50	59	65	66	62	46	46	0	48	64	0	26	3	888,888$
2	Axel Jonsson-Fjallby		X			100.00	73	62	84	65	62	56	60	45	64	45	45	59	42	54	55	0	48	53	0	26	3	888,888$
3	Nils Lundkvist				X	100.00	69	42	91	77	67	64	77	67	25	63	48	61	25	59	59	0	52	66	0	24	1	925,000$
4	Uvis Balinskis				X	100.00	78	44	90	75	68	64	69	61	25	47	48	67	25	46	46	0	48	63	0	28	3	999,999$
5	Kurtis MacDermid		X		X	100.00	83	99	57	69	90	39	63	61	25	41	48	67	25	64	64	0	48	61	0	30	2	888,888$
6	Colton White				X	100.00	75	71	85	65	71	63	68	47	25	37	39	64	37	60	60	0	35	56	0	27	2	888,888$

	MOYENNE D'ÉQUIPE					99.75	75	61	84	74	71	64	75	65	43	57	54	70	41	61	61	0	52	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	Justus Annunen	100.00	69	58	56	85	77	62	75	69	77	69	75	45	45	0	54	68	0
2	Vitek Vanecek	100.00	62	72	70	68	65	58	69	65	65	62	95	60	61	0	54	66	0
Rayé
1	Mackenzie Blackwood	100.00	64	64	64	89	66	62	69	64	65	64	65	62	62	0	46	65	0
2	Spencer Martin	100.00	60	61	59	81	65	54	69	62	65	60	91	50	50	0	45	62	0
3	Daniel Vladar	100.00	60	54	54	80	65	54	69	61	65	60	75	52	53	0	42	61	0

	MOYENNE D'ÉQUIPE	100.00	63	62	61	81	68	58	70	64	67	63	80	54	54	0	48	64

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Steve Potvin	60	60	60	60	60	60	60	CAN	45	2	500,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	S1	S2	S3
1	Brett Seney	Drag (STL)	C/LW	8	1	7	8	-6	4	5	11	22	9	11	4.55%	3	140	17.55	1	1	2	4	27	0	0	0	1	5	0	0	42.86%	14	0	1.14	1	1	0	0	0
2	Darren Raddysh	Drag (STL)	D	8	2	6	8	1	14	22	12	18	10	9	11.11%	15	180	22.52	2	2	4	10	32	0	1	1	0	22	0	0	0.00%	0	0	0.89	0	0	1	0	0
3	Beck Malenstyn	Drag (STL)	C/LW	6	1	6	7	3	2	11	16	24	5	15	4.17%	3	132	22.14	0	4	4	7	28	0	1	1	4	32	1	0	39.11%	179	0	1.05	1	2	0	0	1
4	Jake Walman	Drag (STL)	D	6	2	4	6	-3	18	14	14	15	4	19	13.33%	10	141	23.56	1	2	3	11	28	0	0	0	0	23	0	0	0.00%	0	0	0.85	0	0	0	0	0
5	Parker Kelly	Drag (STL)	LW	8	2	4	6	2	6	10	20	26	6	15	7.69%	1	112	14.07	1	0	1	1	4	0	0	0	0	8	0	0	50.00%	8	0	1.07	0	0	0	1	0
6	Mark Giordano	Drag (STL)	D	5	1	4	5	3	2	9	4	14	3	13	7.14%	7	114	22.82	0	2	2	10	21	0	0	0	0	11	0	0	0.00%	0	0	0.88	0	0	0	0	1
7	Jonny Brodzinski	Drag (STL)	C	8	3	2	5	-4	0	1	20	20	4	10	15.00%	0	141	17.72	1	1	2	10	23	0	0	0	1	25	0	0	50.62%	162	0	0.71	1	2	1	0	0
8	Austin Watson	Drag (STL)	LW/RW	8	4	0	4	-2	14	25	10	20	5	11	20.00%	1	115	14.45	0	0	0	1	7	0	0	0	0	5	0	1	22.22%	9	1	0.69	0	0	0	1	0
9	Brandon Duhaime	Drag (STL)	LW/RW	5	1	3	4	3	8	16	4	13	5	4	7.69%	2	83	16.61	0	1	1	1	22	0	0	0	2	3	0	0	25.00%	8	0	0.96	0	1	1	0	0
10	Andreas Athanasiou	Drag (STL)	RW	4	3	0	3	2	0	1	17	14	3	8	21.43%	0	96	24.17	1	0	1	5	18	1	0	1	1	15	0	1	51.16%	43	0	0.62	0	1	0	0	1
11	Adam Boqvist	Drag (STL)	D	5	1	2	3	2	0	2	7	7	2	1	14.29%	7	106	21.35	1	0	1	4	8	0	0	0	1	23	0	0	0.00%	0	0	0.56	0	0	0	0	0
12	Shane Wright	Drag (STL)	C	5	2	1	3	2	4	3	11	10	4	12	20.00%	0	80	16.13	0	0	0	0	0	0	0	0	1	12	0	0	45.26%	95	0	0.74	0	1	0	0	0
13	Alex Goligoski	Drag (STL)	D	2	0	2	2	1	0	0	1	3	3	1	0.00%	1	38	19.34	0	1	1	2	10	0	0	0	0	0	0	0	0.00%	0	0	1.03	0	0	0	0	0
14	Radim Zohorna	Drag (STL)	RW	8	1	1	2	-3	2	23	3	24	2	9	4.17%	0	112	14.09	1	0	1	12	28	0	0	0	0	0	0	0	37.50%	8	0	0.35	0	0	0	1	0
15	Dennis Gilbert	Drag (STL)	D	8	0	1	1	-2	12	13	7	7	0	2	0.00%	5	117	14.63	0	0	0	1	5	0	0	0	1	16	0	0	0.00%	0	0	0.17	0	0	0	0	0
16	Kurtis MacDermid	Drag (STL)	LW/D	3	0	1	1	2	4	5	0	0	0	0	0.00%	2	23	7.80	0	0	0	0	0	0	0	0	0	7	0	0	0.00%	0	0	0.85	0	0	0	0	0
17	Anthony Beauvillier	Drag (STL)	LW/RW	2	0	0	0	0	0	2	3	5	1	5	0.00%	0	36	18.01	0	0	0	0	1	0	0	0	0	3	0	0	25.00%	4	0	0.00	0	0	0	0	0
18	Mitchell Stephens	Drag (STL)	C	5	0	0	0	-1	0	1	4	2	1	1	0.00%	1	27	5.46	0	0	0	0	0	0	0	0	0	7	0	0	60.61%	33	0	0.00	0	0	0	0	0
19	Matthew Phillips	Drag (STL)	C/RW	5	0	0	0	0	2	2	5	3	3	3	0.00%	0	34	6.93	0	0	0	1	0	0	0	0	0	4	0	0	22.22%	9	0	0.00	0	0	0	0	0
20	Colton White	Drag (STL)	D	1	0	0	0	1	0	1	0	1	0	0	0.00%	0	3	3.82	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0	0	0
21	Nils Lundkvist	Drag (STL)	D	3	0	0	0	-4	0	2	0	2	0	0	0.00%	1	51	17.02	0	0	0	1	2	0	0	0	0	7	0	0	0.00%	0	0	0.00	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				113	24	44	68	-3	92	168	169	250	70	149	9.60%	59	1890	16.73	9	14	23	81	273	1	2	3	12	237	1	2	44.93%	572	1	0.72	3	8	3	3	3

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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	A	PS %	PSA	ST	BG
1	Vitek Vanecek	Drag (STL)	4	2	1	0.898	3.24	204	11	108	1	0.875	8	3	2
2	Justus Annunen	Drag (STL)	2	1	1	0.833	4.57	105	8	48	0	0.000	0	2	0
Stats d'équipe Total ou en Moyenne			6	3	2	0.878	3.68	310	19	156	1	0.875	8	5	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 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	Salaire Année 4	Link
Adam Boqvist	Drag (STL)	D	24	2000-08-14	No	178 Lbs	5 ft11	No	No	No	2	Pro & Farm	2,600,000$	2,600,000$	0$	0$	No	2,600,000$			Lien / Lien NHL
Alex Goligoski	Drag (STL)	D	39	1985-07-29	No	185 Lbs	5 ft11	No	No	No	3	Pro & Farm	2,500,000$	2,500,000$	0$	0$	No	2,500,000$	2,500,000$		Lien / Lien NHL
Andreas Athanasiou	Drag (STL)	RW	30	1994-08-05	No	187 Lbs	6 ft2	No	No	No	3	Pro & Farm	2,650,000$	2,650,000$	0$	0$	No	2,650,000$	2,650,000$		Lien / Lien NHL
Anthony Beauvillier	Drag (STL)	LW/RW	27	1997-06-08	No	183 Lbs	5 ft11	No	No	No	1	Pro & Farm	4,150,000$	4,150,000$	0$	0$	No				Lien / Lien NHL
Austin Watson	Drag (STL)	LW/RW	32	1992-01-12	No	205 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,500,000$	1,500,000$	0$	0$	No				Lien / Lien NHL
Axel Jonsson-Fjallby	Drag (STL)	LW	26	1998-02-10	No	169 Lbs	6 ft0	No	No	No	3	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$	888,888$		Lien
Beck Malenstyn	Drag (STL)	C/LW	26	1998-02-04	No	200 Lbs	6 ft3	No	No	No	3	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$	888,888$		Lien / Lien NHL
Brandon Duhaime	Drag (STL)	LW/RW	27	1997-05-22	No	200 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No				Lien / Lien NHL
Brett Seney	Drag (STL)	C/LW	28	1996-02-27	No	174 Lbs	5 ft9	No	No	No	2	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$			Lien / Lien NHL
Cole Koepke	Drag (STL)	RW	26	1998-05-17	No	194 Lbs	6 ft1	No	No	No	3	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$	888,888$		Lien
Colton White	Drag (STL)	D	27	1997-05-03	No	190 Lbs	6 ft1	No	No	No	2	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$			Lien / Lien NHL
Daniel Vladar	Drag (STL)	G	27	1997-08-20	No	185 Lbs	6 ft5	No	No	No	4	Pro & Farm	2,200,000$	2,200,000$	0$	0$	No	2,200,000$	2,200,000$	2,200,000$	Lien
Darren Raddysh	Drag (STL)	D	28	1996-02-28	No	200 Lbs	6 ft0	No	No	No	2	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$			Lien / Lien NHL
Dennis Gilbert	Drag (STL)	D	27	1996-10-30	No	216 Lbs	6 ft2	No	No	No	3	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$	888,888$		Lien
Jake Walman	Drag (STL)	D	28	1996-02-20	No	169 Lbs	6 ft1	No	No	No	3	Pro & Farm	3,400,000$	3,400,000$	0$	0$	No	3,400,000$	3,400,000$		Lien / Lien NHL
Jonny Brodzinski	Drag (STL)	C	31	1993-06-19	No	216 Lbs	6 ft1	No	No	No	1	Pro & Farm	888,888$	888,888$	0$	0$	No				Lien / Lien NHL
Justus Annunen	Drag (STL)	G	24	2000-03-11	No	209 Lbs	6 ft4	No	No	No	1	Pro & Farm	880,833$	880,833$	0$	0$	No				Lien
Kurtis MacDermid	Drag (STL)	LW/D	30	1994-03-25	No	233 Lbs	6 ft5	No	No	No	2	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$			Lien / Lien NHL
Mackenzie Blackwood	Drag (STL)	G	28	1996-09-12	No	224 Lbs	6 ft4	No	No	No	3	Pro & Farm	3,200,000$	3,200,000$	0$	0$	No	3,200,000$	3,200,000$		Lien / Lien NHL
Mark Giordano	Drag (STL)	D	41	1983-10-02	No	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	6,750,000$	6,750,000$	0$	0$	No				Lien / Lien NHL
Matthew Phillips	Drag (STL)	C/RW	26	1998-04-06	No	141 Lbs	5 ft7	No	No	No	2	Pro & Farm	775,000$	775,000$	0$	0$	No	775,000$			Lien
Mitchell Stephens	Drag (STL)	C	27	1997-02-05	No	194 Lbs	5 ft11	No	No	No	1	Pro & Farm	775,000$	775,000$	0$	0$	No				Lien
Nils Lundkvist	Drag (STL)	D	24	2000-07-27	No	187 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No				Lien
Parker Kelly	Drag (STL)	LW	25	1999-05-14	No	187 Lbs	6 ft0	No	No	No	3	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$	888,888$		Lien / Lien NHL
Radim Zohorna	Drag (STL)	RW	28	1996-04-29	No	220 Lbs	6 ft6	No	No	No	2	Pro & Farm	2,200,000$	2,200,000$	0$	0$	No	2,200,000$			Lien
Shane Wright	Drag (STL)	C	20	2004-01-05	Yes	198 Lbs	6 ft1	No	No	No	3	Pro & Farm	918,333$	918,333$	0$	0$	No	918,333$	918,333$		Lien
Spencer Martin	Drag (STL)	G	29	1995-06-08	No	205 Lbs	6 ft3	No	No	No	2	Pro & Farm	3,250,000$	3,250,000$	0$	0$	No	3,250,000$			Lien / Lien NHL
Uvis Balinskis	Drag (STL)	D	28	1996-08-01	No	187 Lbs	6 ft0	No	No	No	3	Pro & Farm	999,999$	999,999$	0$	0$	No	999,999$	999,999$		Lien
Vitek Vanecek	Drag (STL)	G	28	1996-01-08	No	180 Lbs	6 ft1	No	No	No	1	Pro & Farm	3,400,000$	3,400,000$	0$	0$	No				Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
29	27.97	194 Lbs	6 ft1	2.14	1,817,691$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brandon Duhaime	Beck Malenstyn	Andreas Athanasiou	35	0	1	4
2	Brett Seney	Jonny Brodzinski	Radim Zohorna	35	0	2	3
3	Parker Kelly	Shane Wright	Austin Watson	25	1	2	2
4	Andreas Athanasiou	Mitchell Stephens	Matthew Phillips	5	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jake Walman	Darren Raddysh	35	1	2	2
2	Alex Goligoski	Mark Giordano	35	1	2	2
3	Dennis Gilbert	Adam Boqvist	25	1	2	2
4	Jake Walman	Darren Raddysh	5	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brandon Duhaime	Beck Malenstyn	Andreas Athanasiou	60	1	2	2
2	Brett Seney	Jonny Brodzinski	Radim Zohorna	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jake Walman	Darren Raddysh	60	1	2	2
2	Alex Goligoski	Mark Giordano	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Andreas Athanasiou	Beck Malenstyn	60	1	2	2
2	Jonny Brodzinski	Shane Wright	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jake Walman	Mark Giordano	60	1	2	2
2	Adam Boqvist	Dennis Gilbert	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Andreas Athanasiou	60	1	2	2	Alex Goligoski	Darren Raddysh	60	1	2	2
2	Beck Malenstyn	40	1	2	2	Adam Boqvist	Dennis Gilbert	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Andreas Athanasiou	Beck Malenstyn	60	1	2	2
2	Jonny Brodzinski	Shane Wright	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Gilbert	Adam Boqvist	60	1	2	2
2	Alex Goligoski	Jake Walman	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brandon Duhaime	Beck Malenstyn	Andreas Athanasiou	Jake Walman	Darren Raddysh

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brandon Duhaime	Beck Malenstyn	Andreas Athanasiou	Jake Walman	Darren Raddysh

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Parker Kelly, Austin Watson, Mitchell Stephens	Parker Kelly, Austin Watson	Mitchell Stephens

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Dennis Gilbert, Alex Goligoski, Adam Boqvist	Dennis Gilbert	Mark Giordano, Adam Boqvist

Tirs de Pénalité
Andreas Athanasiou, Beck Malenstyn, Jonny Brodzinski, Shane Wright, Brandon Duhaime

Gardien
#1 : Justus Annunen, #2 : Vitek Vanecek

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	Checkers	2	0	1	0	0	0	1	0	7	8	-1	1	0	0	0	0	0	1	0	6	5	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	7	11	18	0	0	12	9	8	3	74	91	114	93	14	75	17	44	60	13	4	30.77%	21	6	71.43%	0	142	318	44.65%	142	318	44.65%	68	135	50.37%	193	131	195	62	100	51
2	Hurricanes	2	1	1	0	0	0	0	0	9	10	-1	1	1	0	0	0	0	0	0	7	5	2	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	9	17	26	0	0	12	9	8	3	86	91	114	93	14	100	29	20	50	7	1	14.29%	8	2	75.00%	0	142	318	44.65%	142	318	44.65%	68	135	50.37%	193	131	195	62	100	51
3	IceHogs	2	0	1	0	0	0	1	0	7	8	-1	1	0	0	0	0	0	1	0	3	2	1	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	7	10	17	0	0	12	9	8	3	80	91	114	93	14	59	21	18	57	7	2	28.57%	9	2	77.78%	0	142	318	44.65%	142	318	44.65%	68	135	50.37%	193	131	195	62	100	51
	Total	8	2	4	0	0	0	2	0	31	32	-1	4	2	0	0	0	0	2	0	21	14	7	4	0	4	0	0	0	0	0	10	18	-8	8	0.500	31	53	84	0	0	12	9	8	3	304	91	114	93	14	300	80	104	210	39	9	23.08%	48	12	75.00%	1	142	318	44.65%	142	318	44.65%	68	135	50.37%	193	131	195	62	100	51
4	Wilkes-Barre	2	1	1	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	8	15	23	0	0	12	9	8	3	64	91	114	93	14	66	13	22	43	12	2	16.67%	10	2	80.00%	1	142	318	44.65%	142	318	44.65%	68	135	50.37%	193	131	195	62	100	51
	_Since Last GM Reset	8	2	4	0	0	0	2	0	31	32	-1	4	2	0	0	0	0	2	0	21	14	7	4	0	4	0	0	0	0	0	10	18	-8	8	0.500	31	53	84	0	0	12	9	8	3	304	91	114	93	14	300	80	104	210	39	9	23.08%	48	12	75.00%	1	142	318	44.65%	142	318	44.65%	68	135	50.37%	193	131	195	62	100	51
	_Vs Conference	8	2	4	0	0	0	2	0	31	32	-1	4	2	0	0	0	0	2	0	21	14	7	4	0	4	0	0	0	0	0	10	18	-8	8	0.500	31	53	84	0	0	12	9	8	3	304	91	114	93	14	300	80	104	210	39	9	23.08%	48	12	75.00%	1	142	318	44.65%	142	318	44.65%	68	135	50.37%	193	131	195	62	100	51
	_Vs Division	6	2	4	0	0	0	2	0	23	26	-3	3	2	0	0	0	0	2	0	16	12	4	3	0	4	0	0	0	0	0	7	14	-7	8	0.667	23	38	61	0	0	12	9	8	3	240	91	114	93	14	234	67	82	167	27	7	25.93%	38	10	73.68%	0	142	318	44.65%	142	318	44.65%	68	135	50.37%	193	131	195	62	100	51

			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	8	L1	31	53	84	304	300	80	104	210	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	2	4	0	0	2	0	31	32

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	0	0	0	2	0	21	14

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	10	18

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	4	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
39	9	23.08%	48	12	75.00%	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
91	114	93	14	12	9	8	3

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
142	318	44.65%	142	318	44.65%	68	135	50.37%

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
193	131	195	62	100	51

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	Lien
2 - 2024-09-18	6	Drag	1	Checkers	3	L			Sommaire du Match
3 - 2024-09-19	15	Drag	2	Hurricanes	5	L			Sommaire du Match
5 - 2024-09-21	24	Hurricanes	5	Drag	7	W			Sommaire du Match
7 - 2024-09-23	36	Checkers	5	Drag	6	W	X	X	Sommaire du Match
8 - 2024-09-24	43	Drag	3	Wilkes-Barre	4	L			Sommaire du Match
10 - 2024-09-26	56	IceHogs	2	Drag	3	W	X	X	Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
13 - 2024-09-29	69	Wilkes-Barre	2	Drag	5	W			Sommaire du Match
14 - 2024-09-30	74	Drag	4	IceHogs	6	L			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	35	20
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$	5,271,306$	3,290,473$	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