Profi League - Falcons

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Scott Laughton	X		X		99.00	71	63	66	77	51	53	80	64	73	44	42	66	50	56	56	0	55	60	0
2	Kerby Rychel (R)		X	X		100.00	68	64	66	72	58	52	68	65	60	45	39	58	50	47	47	0	55	57	0
3	Zach Hyman	X	X	X		100.00	71	45	58	65	54	63	61	63	60	40	45	67	50	45	45	0	55	56	0
4	Matej Stransky			X		100.00	72	79	64	71	59	70	67	61	75	32	39	59	56	44	44	0	65	56	0
5	Petr Straka		X	X		100.00	75	69	75	65	53	68	65	61	69	33	40	58	56	44	44	0	55	55	0
6	Andy Miele	X				100.00	55	62	59	74	49	70	67	61	71	44	41	56	50	45	45	0	52	55	0
7	Daniel Sprong (R)			X		100.00	60	42	69	82	51	50	57	62	60	37	41	58	50	45	45	0	55	54	0
8	Nic Kerdiles (R)	X	X			100.00	56	75	57	70	56	63	62	60	74	33	41	57	57	44	44	0	58	54	0
9	William Carrier (R)		X			100.00	59	72	62	70	55	66	64	59	71	34	36	58	50	44	44	0	52	54	0
10	Sam Carrick	X				100.00	54	68	57	65	52	67	64	61	71	36	39	54	56	45	45	0	55	53	0
11	Michael Bournival		X	X		100.00	59	70	61	62	54	54	60	57	70	36	29	56	50	55	56	0	56	52	0
12	Carter Verhaeghe (R)	X				100.00	68	68	73	64	52	49	59	58	69	34	35	55	50	44	44	0	55	52	0
13	Andrew Campbell				X	100.00	71	78	72	72	74	85	86	51	25	33	33	59	50	49	49	0	47	59	0
14	Rinat Valiyev (R)				X	100.00	66	76	66	66	61	62	66	66	25	37	37	67	52	52	53	0	57	57	0
15	Steve Eminger				X	100.00	58	76	66	66	61	57	61	68	25	39	34	61	50	71	72	0	50	57	0
16	Marc-Andre Gragnani				X	100.00	61	75	69	73	60	61	64	67	25	41	27	64	50	53	53	0	55	56	0
17	Brett Kulak (R)				X	100.00	62	71	62	64	58	64	67	60	25	37	37	70	50	46	46	0	60	55	0
18	Will Weber (R)				X	100.00	62	70	57	58	62	57	60	52	50	28	27	58	51	43	54	0	55	50	0
Rayé
1	Matt Puempel (R)		X	X		90.98	61	66	67	69	58	56	64	62	60	39	41	58	50	47	47	0	44	55	0
2	Mitchell Heard	X	X			100.00	52	74	56	62	56	56	61	56	67	31	33	49	50	44	44	0	46	49	0
3	Kevin Lynch (R)	X				100.00	62	76	73	55	53	51	53	51	57	28	27	54	54	45	53	0	46	48	0
4	Peter Stoykewych (R)				X	100.00	56	72	63	68	59	59	64	55	25	27	26	55	50	45	45	0	48	51	0
5	Ryan Culkin (R)				X	100.00	61	75	68	61	60	56	61	52	25	23	26	59	50	46	46	0	48	50	0

	MOYENNE D'ÉQUIPE					99.52	63	69	65	67	57	60	64	60	54	35	35	59	51	48	49	0	53	54

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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	Anthony Stolarz (R)	96.00	75	79	66	76	76	69	69	72	67	70	51	60	58	0	55	68	0
2	Mark Dekanich	100.00	62	65	66	67	70	76	68	71	67	68	55	55	55	0	54	65	0
Rayé
1	Rob Madore	100.00	62	63	63	66	70	76	68	70	68	68	56	55	55	0	44	65	0
2	Anthony Peters	100.00	59	65	67	67	67	73	65	68	65	65	52	55	55	0	47	63	0
3	Matthew Ginn	100.00	58	64	63	66	66	72	64	66	64	65	52	55	55	0	48	62	0

	MOYENNE D'ÉQUIPE	99.20	63	67	65	68	70	73	67	69	66	67	53	56	56	0	50	65

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Kevin Dean	74	73	75	70	60	60	76	USA	47	5	100,000$

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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	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS
1	Scott Laughton	Falcons (CBJ)		C/RW	4	7	11	18	17	0	0	11	14	10	13	50.00%	4	23.:.47	1	3	4	0	9	0	0	62.83%	113	18	4	0	2	3.78	0	0
2	Zach Hyman	Falcons (CBJ)		C/LW/RW	4	6	8	14	14	2	0	6	12	7	7	50.00%	9	20.:.02	1	2	3	0	2	1	1	52.00%	25	9	3	0	0	3.49	0	0
3	Kerby Rychel	Falcons (CBJ)		LW/RW	4	3	8	11	14	0	0	10	8	3	4	37.50%	2	20.:.30	1	2	3	0	9	0	0	14.29%	7	8	3	0	0	2.68	0	0
4	Daniel Sprong	Falcons (CBJ)		RW	4	4	4	8	7	0	0	5	14	3	5	28.57%	3	13.:.40	1	0	1	0	0	1	0	66.67%	3	16	1	0	0	2.93	0	0
5	Andy Miele	Falcons (CBJ)		C	4	3	5	8	3	2	0	3	8	4	2	37.50%	3	15.:.41	0	0	0	0	0	0	0	64.15%	53	15	3	0	0	2.55	0	0
6	Petr Straka	Falcons (CBJ)		LW/RW	4	2	4	6	3	0	0	7	9	3	9	22.22%	2	17.:.34	0	0	0	0	0	0	0	66.67%	3	8	2	0	0	1.71	0	0
7	Sam Carrick	Falcons (CBJ)		C	4	2	4	6	5	0	0	3	9	1	3	22.22%	2	08.:.34	0	0	0	0	0	1	0	73.91%	23	5	0	0	0	3.50	0	0
8	Steve Eminger	Falcons (CBJ)		D	3	1	5	6	15	25	25	2	2	2	7	50.00%	9	24.:.46	1	1	2	0	4	0	0	0.00%	0	0	8	0	0	1.62	0	0
9	Nic Kerdiles	Falcons (CBJ)		C/LW	4	2	3	5	7	5	5	5	3	0	4	66.67%	2	09.:.30	0	0	0	0	0	0	0	64.00%	25	1	0	0	0	2.63	0	0
10	Brett Kulak	Falcons (CBJ)		D	4	3	1	4	7	27	15	6	11	7	5	27.27%	5	19.:.42	0	1	1	0	1	0	0	0.00%	0	3	1	0	0	1.02	0	0
11	William Carrier	Falcons (CBJ)		LW	4	3	1	4	5	5	5	2	9	3	3	33.33%	1	08.:.23	0	0	0	0	0	1	0	0.00%	0	2	1	0	1	2.38	0	0
12	Rinat Valiyev	Falcons (CBJ)		D	4	1	2	3	6	72	40	7	3	3	2	33.33%	5	15.:.35	0	0	0	0	2	0	0	0.00%	0	1	3	0	0	0.96	0	0
13	Matej Stransky	Falcons (CBJ)		RW	4	1	2	3	1	30	30	5	5	4	8	20.00%	1	15.:.43	0	0	0	0	1	0	0	75.00%	4	5	2	0	0	0.95	0	0
14	Andrew Campbell	Falcons (CBJ)		D	3	0	3	3	14	40	30	4	2	2	4	0.00%	5	21.:.22	0	0	0	0	7	0	0	0.00%	0	0	5	0	0	0.94	0	0
15	Marc-Andre Gragnani	Falcons (CBJ)		D	3	0	3	3	10	7	5	6	3	0	1	0.00%	0	21.:.24	0	0	0	0	4	0	0	0.00%	0	0	6	0	0	0.93	0	0
16	Matt Puempel	Falcons (CBJ)		LW/RW	3	3	0	3	4	4	0	3	7	4	0	42.86%	0	11.:.10	0	0	0	0	0	0	0	0.00%	1	2	1	0	0	1.79	0	0
17	Michael Bournival	Falcons (CBJ)		LW/RW	4	0	1	1	5	5	5	1	3	1	2	0.00%	2	10.:.47	0	0	0	0	1	0	0	100.00%	2	1	1	0	0	0.46	0	0
18	Will Weber	Falcons (CBJ)		D	4	0	1	1	6	0	0	4	2	0	3	0.00%	4	17.:.53	0	0	0	0	6	0	0	0.00%	0	0	4	0	0	0.28	0	0
19	Carter Verhaeghe	Falcons (CBJ)		C	4	0	0	0	2	0	0	2	0	1	2	0.00%	0	04.:.53	0	0	0	0	0	0	0	0.00%	1	1	0	0	0	0.00	0	0
20	Peter Stoykewych	Falcons (CBJ)		D	1	0	0	0	0	0	0	1	0	0	0	0.00%	1	22.:.25	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	0.00	0	0
21	Ryan Culkin	Falcons (CBJ)		D	1	0	0	0	1	0	0	3	0	0	0	0.00%	2	11.:.18	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne		74	41	66	107	146	224	160	96	83	124	58	84	33.06%	62	1159	15.66	5	9	14	12	69	0	0	52	4	1	61.92%	260	95	50	0	3	1.85	0	0	9	6	17	3	3	4

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Anthony Stolarz	Falcons (CBJ)	4	4	0	0	94.5%	2.00	240	2	1	8	145	95	1	0	0.0%	0	4	0	1	0	0
Stats d'équipe Total ou en Moyenne	4	4	0	0	0.945	2.00	240	2	1	8	145	95	1	0	0.000	0	4	0	1	0	0

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Salaire Année 8	Salaire Année 9	Salaire Année 10	Link
Andrew Campbell	D	28	04.02.1988	No	206 Lbs	6 ft4	No	No	2	Pro & Farm	800,000$	0$	800,000$									Lien
Andy Miele	C	28	15.04.1988 2:23:03	No	175 Lbs	5 ft9	No	No	2	Pro & Farm	800,000$	0$	800,000$									Lien
Anthony Peters	G	25	31.12.1990	No	196 Lbs	6 ft1	No	No	1	Pro & Farm	500,000$	0$										Lien
Anthony Stolarz	G	22	20.01.1994 4:17:47	Yes	210 Lbs	6 ft6	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Brett Kulak	D	22	06.01.1994	Yes	190 Lbs	6 ft1	No	No	2	Pro & Farm	900,000$	0$	900,000$									Lien
Carter Verhaeghe	C	21	14.08.1995	Yes	181 Lbs	6 ft1	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Daniel Sprong	RW	19	17.03.1997 14:54:07	Yes	180 Lbs	6 ft0	No	No	3	Pro & Farm	900,000$	0$	900,000$	900,000$								Lien
Kerby Rychel	LW/RW	22	07.10.1994 1:43:38	Yes	205 Lbs	6 ft1	No	No	2	Pro & Farm	1,100,000$	0$	1,100,000$									Lien
Kevin Lynch	C	25	23.04.1991	Yes	198 Lbs	6 ft1	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$
Marc-Andre Gragnani	D	29	10.03.1987	No	201 Lbs	6 ft2	No	No	1	Pro & Farm	700,000$	0$										Lien
Mark Dekanich	G	30	09.05.1986	No	185 Lbs	6 ft2	No	No	1	Pro & Farm	800,000$	0$										Lien
Matej Stransky	RW	23	11.07.1993	No	210 Lbs	6 ft3	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Matt Puempel	LW/RW	23	24.01.1993 2:11:40	Yes	205 Lbs	6 ft1	No	No	1	Pro & Farm	900,000$	0$										Lien
Matthew Ginn	G	25	17.02.1991	No	176 Lbs	5 ft11	No	No	2	Pro & Farm	700,000$	0$	700,000$									Lien
Michael Bournival	LW/RW	24	31.05.1992 4:07:56	No	195 Lbs	5 ft11	No	No	1	Pro & Farm	900,000$	0$										Lien
Mitchell Heard	C/LW	24	12.03.1992 4:08:47	No	200 Lbs	6 ft1	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Nic Kerdiles	C/LW	22	11.01.1994	Yes	201 Lbs	6 ft2	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Peter Stoykewych	D	24	13.07.1992	Yes	190 Lbs	6 ft2	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Petr Straka	LW/RW	24	15.06.1992	No	185 Lbs	6 ft1	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Rinat Valiyev	D	21	11.05.1995 3:25:48	Yes	187 Lbs	6 ft2	No	No	2	Pro & Farm	800,000$	0$	800,000$									Lien
Rob Madore	G	28	28.05.1988	No	179 Lbs	5 ft10	No	No	1	Pro & Farm	700,000$	0$										Lien
Ryan Culkin	D	22	25.12.1993	Yes	201 Lbs	6 ft2	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Sam Carrick	C	24	04.02.1992 4:10:46	No	188 Lbs	6 ft0	No	No	1	Pro & Farm	900,000$	0$										Lien
Scott Laughton	C/RW	22	30.05.1994 11:29:12	No	177 Lbs	6 ft1	No	No	2	Pro & Farm	1,400,000$	0$	1,400,000$									Lien
Steve Eminger	D	32	31.10.1983	No	207 Lbs	6 ft2	No	No	2	Pro & Farm	800,000$	0$	800,000$									Lien
Will Weber	D	27	28.10.1988 4:17:57	Yes	205 Lbs	6 ft4	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$
William Carrier	LW	21	20.12.1994	Yes	196 Lbs	6 ft1	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Zach Hyman	C/LW/RW	24	09.06.1992 6:30:55	No	197 Lbs	6 ft0	No	No	1	Pro & Farm	1,200,000$	0$										Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
28	24.32	194 Lbs	6 ft1	4.3928571428571	567,857$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Scott Laughton	Kerby Rychel	Zach Hyman	40	1	2	2
2	Andy Miele	Petr Straka	Matej Stransky	30	1	2	2
3	Nic Kerdiles		Daniel Sprong	20	1	2	2
4	Sam Carrick	William Carrier	Michael Bournival	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Andrew Campbell	Steve Eminger	40	1	2	2
2	Rinat Valiyev	Marc-Andre Gragnani	30	1	2	2
3	Brett Kulak	Will Weber	20	1	2	2
4	Andrew Campbell	Steve Eminger	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Scott Laughton	Kerby Rychel	Zach Hyman	60	1	2	2
2	Andy Miele	Petr Straka	Matej Stransky	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Andrew Campbell	Steve Eminger	60	1	2	2
2	Rinat Valiyev	Marc-Andre Gragnani	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Scott Laughton	Kerby Rychel	60	1	2	2
2	Zach Hyman	Matej Stransky	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Andrew Campbell	Steve Eminger	60	1	2	2
2	Rinat Valiyev	Marc-Andre Gragnani	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Scott Laughton	60	1	2	2	Andrew Campbell	Steve Eminger	60	1	2	2
2	Kerby Rychel	40	1	2	2	Rinat Valiyev	Marc-Andre Gragnani	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Scott Laughton	Kerby Rychel	60	1	2	2
2	Zach Hyman	Matej Stransky	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Andrew Campbell	Steve Eminger	60	1	2	2
2	Rinat Valiyev	Marc-Andre Gragnani	40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Scott Laughton	Kerby Rychel	Zach Hyman	Andrew Campbell	Steve Eminger

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Scott Laughton	Kerby Rychel	Zach Hyman	Andrew Campbell	Steve Eminger

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Carter Verhaeghe, Daniel Sprong,	Carter Verhaeghe, Daniel Sprong

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brett Kulak, Will Weber, Rinat Valiyev	Brett Kulak	Will Weber, Rinat Valiyev

Tirs de Pénalité
Scott Laughton, Kerby Rychel, Zach Hyman, Matej Stransky, Andy Miele

Gardien
#1 : Anthony Stolarz, #2 : Mark Dekanich

Lignes d'Attaque Perso. en Prol.
Scott Laughton, Kerby Rychel, Zach Hyman, Matej Stransky, Andy Miele, Daniel Sprong, Daniel Sprong, Petr Straka, Carter Verhaeghe, William Carrier, Nic Kerdiles

Lignes de Défense Perso. en Prol.
Andrew Campbell, Steve Eminger, Rinat Valiyev, Marc-Andre Gragnani, Brett Kulak

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

#	VS Équipe	GP	W	GF	GA	Diff	P	PCT	G	A	TP	EG	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	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	Sound Tigers	1	1	3	2	1	2	1.000	3	5	8	0	19	14	8	25	39	54	38	36	12	83	25	2	0	0.00%	4	1	75.00%	44	82	53.66%	52	81	64.20%	65	97	67.01%	92	60	85	30	62	32
2	Checkers	1	1	2	1	1	2	1.000	2	4	6	0	19	14	8	44	39	54	38	33	9	40	25	5	1	20.00%	0	0	0.00%	44	82	53.66%	52	81	64.20%	65	97	67.01%	92	60	85	30	62	32
3	IceCaps	1	1	16	0	16	2	1.000	16	26	42	1	19	14	8	21	39	54	38	34	19	71	29	3	3	100.00%	3	0	100.00%	44	82	53.66%	52	81	64.20%	65	97	67.01%	92	60	85	30	62	32
4	Wild	1	1	20	5	15	2	1.000	20	31	51	0	19	14	8	41	39	54	38	42	22	32	17	1	1	100.00%	1	0	100.00%	44	82	53.66%	52	81	64.20%	65	97	67.01%	92	60	85	30	62	32
	Vs Division	2	2	36	5	31	4	1.000	36	57	93	1	19	14	8	62	39	54	38	76	41	103	46	4	4	100.00%	4	0	100.00%	44	82	53.66%	52	81	64.20%	65	97	67.01%	92	60	85	30	62	32
	Vs Conference	2	2	36	5	31	4	1.000	36	57	93	1	19	14	8	62	39	54	38	76	41	103	46	4	4	100.00%	4	0	100.00%	44	82	53.66%	52	81	64.20%	65	97	67.01%	92	60	85	30	62	32
	Since Last GM Reset	4	4	41	8	33	8	1.000	41	66	107	1	19	14	8	131	39	54	38	145	62	226	96	11	5	45.45%	8	1	87.50%	44	82	53.66%	52	81	64.20%	65	97	67.01%	92	60	85	30	62	32
	Total	4	4	41	8	33	8	1.000	41	66	107	1	19	14	8	131	39	54	38	145	62	226	96	11	5	45.45%	8	1	87.50%	44	82	53.66%	52	81	64.20%	65	97	67.01%	92	60	85	30	62	32

			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
4	8	W4	41	66	107	131	145	62	226	96	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	4	0	0	0	0	0	41	8

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	18	1

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	23	7

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	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
11	5	45.45%	8	1	87.50%	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
39	54	38	0	19	14	8	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
44	82	53.66%	52	81	64.20%	65	97	67.01%

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
92	60	85	30	62	32

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

Date		Result	Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Mon, Apr 21	@	Checkers1,Falcons2	RECAP
Thu, Apr 24	@	IceCaps0,Falcons16	RECAP
Sun, Apr 27	@	Falcons3,Sound Tigers2	RECAP
Mon, Apr 28	@	Falcons20,Wild5	RECAP

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	0 - 0.00%	0$	0$	3000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,590,000$	930,000$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour
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