Profi League

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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	Chris Tierney (R)	X				100.00	60	41	89	84	76	76	87	64	87	45	43	67	50	58	58	0	56	65	0
2	Brett Connolly		X	X		100.00	76	45	89	78	68	76	75	69	61	45	45	60	50	63	63	0	56	64	0
3	Mike Brown (A)		X	X		100.00	59	99	78	74	74	81	67	65	57	39	39	63	50	69	70	0	55	62	0
4	Mike Santorelli (A)	X	X	X		100.00	62	41	68	78	61	54	85	66	61	43	44	61	61	69	70	0	53	61	0
5	Jack Skille		X	X		100.00	72	55	68	76	59	51	69	65	58	40	43	62	50	66	67	0	53	59	0
6	Frank Vatrano (R)	X	X	X		100.00	70	45	67	82	57	57	67	64	58	39	46	59	50	47	47	0	56	58	0
7	Andrew Copp (R)	X				100.00	69	43	68	76	53	50	61	62	77	40	42	65	50	54	54	0	56	57	0
8	Joonas Kemppainen	X				100.00	63	43	68	73	59	60	60	61	79	40	40	70	50	48	48	0	53	57	0
9	Jason Dickinson (R)	X	X			100.00	75	69	75	68	53	60	61	62	74	38	40	60	56	44	44	0	56	56	0
10	Max McCormick	X	X			100.00	74	99	58	59	54	53	66	63	72	40	41	58	50	45	45	0	54	55	0
11	Pontus Aberg (R)		X	X		100.00	72	67	75	67	52	70	66	60	65	32	39	58	56	44	44	0	56	55	0
12	Yannick Veilleux (R)		X			100.00	62	76	63	63	58	68	66	56	70	32	33	58	50	44	44	0	56	53	0
13	Jeff Schultz (C)				X	100.00	77	88	99	75	96	80	79	50	25	36	33	64	50	80	71	0	59	66	0
14	Tyler Wotherspoon (R)				X	100.00	69	45	92	71	76	67	79	69	25	41	37	73	50	46	47	0	56	62	0
15	Nathan Paetsch				X	100.00	80	72	95	62	80	87	88	51	25	36	32	62	50	61	62	0	50	62	0
16	Julian Melchiori				X	100.00	71	45	96	71	79	63	88	53	25	37	37	70	50	49	45	0	56	60	0
17	Dillon Simpson				X	100.00	60	71	68	68	59	68	69	63	25	34	30	61	50	48	48	0	57	55	0
18	Danny Syvret				X	100.00	61	74	68	62	60	63	67	63	25	30	32	63	50	50	51	0	58	54	0
Rayé
1	Joel Lowry (R)		X			100.00	57	68	59	64	52	50	59	54	64	29	32	53	50	44	44	0	46	49	0
2	Connor Crisp (R)		X			100.00	56	83	56	62	59	50	60	52	65	25	27	50	50	44	44	0	46	48	0
3	Cody Beach			X		100.00	53	75	56	63	56	53	60	53	65	27	31	47	50	44	44	0	46	48	0
4	Dylan Labbe (R)				X	100.00	56	72	63	68	59	60	64	53	25	24	34	54	50	44	44	0	52	51	0
5	Garrett Noonan				X	100.00	61	74	68	64	60	60	64	53	25	24	26	60	50	47	47	0	46	51	0

	MOYENNE D'ÉQUIPE					100.00	66	65	73	70	63	63	70	60	53	35	37	61	51	53	52	0	54	57

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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	Mike McKenna	100.00	75	67	66	78	71	70	68	71	71	66	70	69	67	0	53	69	0
2	Anton Forsberg	100.00	67	79	67	75	70	69	70	70	70	66	45	69	66	0	56	67	0
Rayé
1	Cedrick Desjardins	100.00	59	51	64	66	64	63	62	66	66	63	62	49	55	0	46	61	0

	MOYENNE D'ÉQUIPE	100.00	67	66	66	73	68	67	67	69	69	65	59	62	63	0	52	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Rob Zettler	56	62	65	66	60	60	74	CAN	48	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	Frank Vatrano	Bears (WSH)		C/LW/RW	4	7	2	9	5	0	0	7	14	9	17	50.00%	2	15.:.59	0	1	1	0	0	0	1	0.00%	3	18	0	0	1	2.81	0	0
2	Andrew Copp	Bears (WSH)		C	4	1	8	9	5	0	0	9	10	9	6	10.00%	2	15.:.46	0	1	1	0	0	0	1	65.96%	47	5	3	0	0	2.85	0	0
3	Brett Connolly	Bears (WSH)		LW/RW	4	2	4	6	6	0	0	12	11	1	12	18.18%	3	19.:.07	0	0	0	0	0	1	1	11.11%	9	14	2	0	0	1.57	0	0
4	Chris Tierney	Bears (WSH)		C	4	1	3	4	6	0	0	4	9	7	5	11.11%	2	20.:.03	0	0	0	0	5	0	0	73.08%	78	10	2	0	0	1.00	0	0
5	Mike Santorelli	Bears (WSH)		C/LW/RW	4	3	1	4	6	6	0	6	14	5	6	21.43%	1	18.:.54	0	0	0	0	0	2	0	0.00%	2	10	2	0	0	1.06	0	0
6	Mike Brown	Bears (WSH)		LW/RW	4	0	3	3	5	10	10	6	9	1	6	0.00%	1	15.:.15	0	0	0	0	5	0	0	0.00%	2	6	1	0	0	0.98	0	0
7	Tyler Wotherspoon	Bears (WSH)		D	4	0	3	3	6	0	0	1	11	8	8	0.00%	8	25.:.59	0	0	0	0	4	0	0	0.00%	0	0	10	0	0	0.58	0	0
8	Jack Skille	Bears (WSH)		LW/RW	4	3	0	3	1	0	0	8	15	3	9	20.00%	0	15.:.50	1	0	1	0	5	1	0	50.00%	2	11	1	0	0	0.95	0	0
9	Joonas Kemppainen	Bears (WSH)		C	4	0	2	2	1	2	0	6	9	1	6	0.00%	2	13.:.52	0	0	0	0	4	0	0	76.92%	39	3	5	0	0	0.72	0	0
10	Nathan Paetsch	Bears (WSH)		D	2	0	1	1	1	0	0	3	2	0	0	0.00%	4	20.:.38	0	0	0	0	1	0	0	0.00%	0	0	1	0	0	0.48	0	0
11	Jason Dickinson	Bears (WSH)		C/LW	4	1	0	1	1	0	0	6	4	2	8	25.00%	1	12.:.17	0	0	0	0	0	0	0	100.00%	1	3	0	0	0	0.41	0	0
12	Danny Syvret	Bears (WSH)		D	4	0	1	1	3	20	20	4	5	3	1	0.00%	5	16.:.33	0	0	0	0	4	0	0	0.00%	0	1	2	0	0	0.30	0	0
13	Max McCormick	Bears (WSH)		C/LW	4	1	0	1	0	20	20	6	11	1	6	9.09%	0	09.:.42	0	0	0	0	0	0	0	57.14%	21	13	0	0	0	0.51	0	0
14	Jeff Schultz	Bears (WSH)		D	4	0	1	1	7	10	10	4	2	8	5	0.00%	9	21.:.29	0	0	0	0	4	0	0	0.00%	0	0	9	0	0	0.23	0	0
15	Julian Melchiori	Bears (WSH)		D	4	0	1	1	4	0	0	3	6	2	3	0.00%	2	22.:.42	0	0	0	0	5	0	0	0.00%	0	1	13	0	0	0.22	0	0
16	Dylan Labbe	Bears (WSH)		D	2	0	0	0	2	7	5	3	0	0	0	0.00%	1	15.:.21	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
17	Dillon Simpson	Bears (WSH)		D	4	0	0	0	1	5	5	3	6	0	3	0.00%	3	15.:.19	0	0	0	0	0	0	0	0.00%	0	0	3	0	0	0.00	0	0
18	Yannick Veilleux	Bears (WSH)		LW	4	0	0	0	0	0	0	4	3	0	3	0.00%	1	10.:.12	0	0	0	0	0	0	0	100.00%	1	2	1	0	0	0.00	0	0
19	Pontus Aberg	Bears (WSH)		LW/RW	4	0	0	0	0	0	0	3	5	3	4	0.00%	1	10.:.12	0	0	0	0	0	0	0	100.00%	2	7	1	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne		72	19	30	49	60	80	70	98	96	146	63	108	13.01%	48	1189	16.52	1	2	3	10	64	0	3	42	4	3	65.70%	207	104	56	0	1	0.82	0	0	4	3	7	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	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	Mike McKenna	Bears (WSH)	2	2	0	0	95.7%	1.00	120	0	0	2	46	30	0	0.0%	0	2	2	0	0	0
2	Anton Forsberg	Bears (WSH)	2	2	0	0	92.7%	2.00	120	2	0	4	55	38	0	0.0%	0	2	2	1	0	0
Stats d'équipe Total ou en Moyenne	4	4	0	0	0.941	1.50	240	2	0	6	101	68	0	0	0.000	4	4	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 Copp	C	22	08.07.1994 23:54:15	Yes	188 Lbs	6 ft1	No	No	3	Pro & Farm	1,100,000$	0$	1,100,000$	1,100,000$								Lien
Anton Forsberg	G	23	27.11.1992	No	176 Lbs	6 ft2	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Brett Connolly	LW/RW	24	02.05.1992 5:34:25	No	181 Lbs	6 ft2	No	No	1	Pro & Farm	1,300,000$	0$										Lien
Cedrick Desjardins	G	31	30.09.1985	No	192 Lbs	6 ft0	No	No	1	Pro & Farm	800,000$	0$
Chris Tierney	C	22	01.07.1994 1:04:35	Yes	195 Lbs	6 ft0	No	No	2	Pro & Farm	1,300,000$	0$	1,300,000$									Lien
Cody Beach	RW	24	08.08.1992 5:02:22	No	190 Lbs	6 ft5	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Connor Crisp	LW	22	08.04.1994	Yes	226 Lbs	6 ft3	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Danny Syvret	D	31	13.06.1985	No	205 Lbs	6 ft0	No	No	1	Pro & Farm	800,000$	0$										Lien
Dillon Simpson	D	23	10.02.1993	No	194 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$		Lien
Dylan Labbe	D	21	08.01.1995	Yes	194 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
Frank Vatrano	C/LW/RW	22	14.03.1994 23:11:12	Yes	215 Lbs	5 ft10	No	No	2	Pro & Farm	1,200,000$	0$	1,200,000$									Lien
Garrett Noonan	D	25	28.01.1991	No	205 Lbs	6 ft0	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Jack Skille	LW/RW	29	19.05.1987	No	216 Lbs	6 ft1	No	No	2	Pro & Farm	1,200,000$	0$	1,200,000$									Lien
Jason Dickinson	C/LW	21	03.07.1995	Yes	185 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
Jeff Schultz	D	30	25.02.1986	No	230 Lbs	6 ft6	No	No	1	Pro & Farm	1,700,000$	0$										Lien
Joel Lowry	LW	24	14.11.1991	Yes	180 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
Joonas Kemppainen	C	28	07.04.1988	No	213 Lbs	6 ft2	No	No	1	Pro & Farm	1,300,000$	0$										Lien
Julian Melchiori	D	24	06.12.1991 5:06:52	No	214 Lbs	6 ft5	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Max McCormick	C/LW	24	01.05.1992	No	185 Lbs	5 ft11	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Mike Brown	LW/RW	31	24.06.1985	No	205 Lbs	5 ft11	No	No	1	Pro & Farm	1,200,000$	0$										Lien
Mike McKenna	G	33	11.10.1983	No	190 Lbs	6 ft2	No	No	2	Pro & Farm	1,100,000$	0$	1,100,000$									Lien
Mike Santorelli	C/LW/RW	30	14.12.1985	No	189 Lbs	6 ft0	No	No	1	Pro & Farm	1,200,000$	0$										Lien
Nathan Paetsch	D	33	30.03.1983	No	195 Lbs	6 ft1	No	No	1	Pro & Farm	700,000$	0$										Lien
Pontus Aberg	LW/RW	23	22.09.1993	Yes	189 Lbs	5 ft11	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Tyler Wotherspoon	D	23	12.03.1993 2:02:58	Yes	210 Lbs	6 ft2	No	No	1	Pro & Farm	700,000$	0$										Lien
Yannick Veilleux	LW	23	22.02.1993 5:08:43	Yes	206 Lbs	6 ft2	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	25.62	199 Lbs	6 ft1	4.0384615384615	753,846$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Chris Tierney	Mike Santorelli	Brett Connolly	40	1	1	3
2	Andrew Copp	Mike Brown	Frank Vatrano	31	1	2	2
3	Joonas Kemppainen	Jason Dickinson	Jack Skille	20	1	2	2
4	Max McCormick	Yannick Veilleux	Pontus Aberg	9	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jeff Schultz	Tyler Wotherspoon	43	1	2	2
2	Julian Melchiori	Nathan Paetsch	36	1	2	2
3	Dillon Simpson	Danny Syvret	21	1	2	2
4	Jeff Schultz	Tyler Wotherspoon	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Chris Tierney	Mike Santorelli	Brett Connolly	60	1	2	2
2	Andrew Copp	Jack Skille	Frank Vatrano	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Wotherspoon	Julian Melchiori	60	1	2	2
2	Jeff Schultz	Nathan Paetsch	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Joonas Kemppainen	Mike Brown	50	1	2	2
2	Chris Tierney	Jack Skille	50	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jeff Schultz	Tyler Wotherspoon	50	1	2	2
2	Nathan Paetsch	Julian Melchiori	50	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Joonas Kemppainen	60	1	2	2	Jeff Schultz	Tyler Wotherspoon	60	1	2	2
2	Chris Tierney	40	1	2	2	Nathan Paetsch	Julian Melchiori	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Chris Tierney	Mike Santorelli	50	1	2	2
2	Joonas Kemppainen	Mike Brown	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jeff Schultz	Tyler Wotherspoon	50	1	2	2
2	Nathan Paetsch	Julian Melchiori	50	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Chris Tierney	Mike Santorelli	Brett Connolly	Tyler Wotherspoon	Julian Melchiori

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Chris Tierney	Mike Santorelli	Brett Connolly	Tyler Wotherspoon	Julian Melchiori

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brett Connolly, Mike Santorelli, Mike Brown	Frank Vatrano, Brett Connolly	Joonas Kemppainen

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Tyler Wotherspoon, Julian Melchiori, Danny Syvret	Tyler Wotherspoon	Tyler Wotherspoon, Julian Melchiori

Tirs de Pénalité
Mike Santorelli, Jason Dickinson, Pontus Aberg, Brett Connolly, Frank Vatrano

Gardien
#1 : Anton Forsberg, #2 : Mike McKenna

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

#	VS Équipe	GP	W	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	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	Senators	1	1	2	1	1	2	1.000	2	2	4	5	6	8	42	55	40	51	22	15	17	38	2	0	0.00%	1	100.00%	56	82	68.29%	41	68	60.29%	39	57	68.42%	104	70	74	30	61	31
2	Wolves	1	1	6	3	3	2	1.000	6	10	16	5	6	8	30	55	40	51	33	19	4	19	2	1	50.00%	2	100.00%	56	82	68.29%	41	68	60.29%	39	57	68.42%	104	70	74	30	61	31
3	IceHogs	1	1	5	1	4	2	1.000	5	8	13	5	6	8	38	55	40	51	22	11	12	23	1	0	0.00%	1	100.00%	56	82	68.29%	41	68	60.29%	39	57	68.42%	104	70	74	30	61	31
4	Monarchs	1	1	6	1	5	2	1.000	6	10	16	5	6	8	36	55	40	51	24	3	49	18	4	0	0.00%	2	100.00%	56	82	68.29%	41	68	60.29%	39	57	68.42%	104	70	74	30	61	31
	Vs Conference	1	1	2	1	1	2	1.000	2	2	4	5	6	8	42	55	40	51	22	15	17	38	2	0	0.00%	1	100.00%	56	82	68.29%	41	68	60.29%	39	57	68.42%	104	70	74	30	61	31
	Since Last GM Reset	4	4	19	6	13	8	1.000	19	30	49	5	6	8	146	55	40	51	101	48	82	98	9	1	11.11%	6	100.00%	56	82	68.29%	41	68	60.29%	39	57	68.42%	104	70	74	30	61	31
	Total	4	4	19	6	13	8	1.000	19	30	49	5	6	8	146	55	40	51	101	48	82	98	9	1	11.11%	6	100.00%	56	82	68.29%	41	68	60.29%	39	57	68.42%	104	70	74	30	61	31

			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	19	30	49	146	101	48	82	98	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	4	0	0	0	0	0	19	6

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	8	4

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	11	2

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
9	1	11.11%	6	0	100.00%	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
55	40	51	0	5	6	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
56	82	68.29%	41	68	60.29%	39	57	68.42%

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
104	70	74	30	61	31

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	@	Bears5,IceHogs1	RECAP
Tue, Apr 22	@	Bears6,Monarchs1	RECAP
Fri, Apr 25	@	Senators1,Bears2	RECAP
Sat, Apr 26	@	Wolves3,Bears6	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
1,960,000$	680,000$	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