Profi League

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Informations Joueurs
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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	Brett Connolly		X	X		100.00	76	45	89	78	68	76	75	69	61	45	45	60	50	63	63	0	94	64	0
2	Mike Brown (A)		X	X		100.00	59	99	78	74	74	81	67	65	57	39	39	63	50	69	70	0	87	62	0
3	Mike Santorelli (A)	X	X	X		100.00	62	41	68	78	61	54	85	66	61	43	44	61	61	69	70	0	94	61	0
4	Jack Skille		X	X		100.00	72	55	68	76	59	51	69	65	58	40	43	62	50	66	67	0	99	59	0
5	Frank Vatrano (R)	X	X	X		100.00	70	45	67	82	57	57	67	64	58	39	46	59	50	47	47	0	94	58	0
6	Andrew Copp (R)	X				100.00	69	43	68	76	53	50	61	62	77	40	42	65	50	54	54	0	88	57	0
7	Joonas Kemppainen	X				100.00	63	43	68	73	59	60	60	61	79	40	40	70	50	48	48	0	87	57	0
8	Jason Dickinson (R)	X	X			100.00	75	69	75	68	53	60	61	62	74	38	40	60	56	44	44	0	88	56	0
9	Max McCormick	X	X			100.00	74	99	58	59	54	53	66	63	72	40	41	58	50	45	45	0	84	55	0
10	Pontus Aberg (R)		X	X		100.00	72	67	75	67	52	70	66	60	65	32	39	58	56	44	44	0	86	55	0
11	Timo Meier (R)	X	X	X		100.00	55	55	55	55	55	55	55	55	55	42	40	55	55	55	55	0	78	52	0
12	Joel Lowry (R)		X			100.00	57	68	59	64	52	50	59	54	64	29	32	53	50	44	44	0	38	49	0
13	Nathan Paetsch				X	100.00	80	72	95	62	80	87	88	51	25	36	32	62	50	61	62	0	90	62	0
14	Julian Melchiori				X	100.00	71	45	96	71	79	63	88	53	25	37	37	70	50	49	45	0	89	60	0
15	Dillon Simpson				X	100.00	60	71	68	68	59	68	69	63	25	34	30	61	50	48	48	0	94	55	0
16	Danny Syvret				X	100.00	61	74	68	62	60	63	67	63	25	30	32	63	50	50	51	0	89	54	0
17	Dylan Labbe (R)				X	100.00	56	72	63	68	59	60	64	53	25	24	34	54	50	44	44	0	35	51	0
18	Garrett Noonan				X	100.00	61	74	68	64	60	60	64	53	25	24	26	60	50	47	47	0	70	51	0
Rayé
1	Chris Tierney (R)	X				100.00	60	41	89	84	76	76	87	64	87	45	43	67	50	58	58	0	91	65	0
2	Yannick Veilleux (R)		X			100.00	62	76	63	63	58	68	66	56	70	32	33	58	50	44	44	0	89	53	0
3	Connor Crisp (R)		X			100.00	56	83	56	62	59	50	60	52	65	25	27	50	50	44	44	0	24	48	0
4	Cody Beach			X		100.00	53	75	56	63	56	53	60	53	65	27	31	47	50	44	44	0	25	48	0
5	Jeff Schultz				X	100.00	77	88	99	75	96	80	79	50	25	36	33	64	50	80	71	0	90	66	0
6	Tyler Wotherspoon (R)				X	100.00	69	45	92	71	76	67	79	69	25	41	37	73	50	46	47	0	92	62	0

	MOYENNE D'ÉQUIPE					100.00	65	64	73	69	63	63	69	59	53	36	37	61	51	53	52	0	79	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	94	69	0
2	Anton Forsberg	100.00	67	79	67	75	70	69	70	70	70	66	45	69	66	0	94	67	0
Rayé
1	Cedrick Desjardins	100.00	59	51	64	66	64	63	62	66	66	63	62	49	55	0	20	61	0

	MOYENNE D'ÉQUIPE	100.00	67	66	66	73	68	67	67	69	69	65	59	62	63	0	69	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	PKA	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSS
1	Mike Santorelli	Bears (WSH)		C/LW/RW	7	3	4	7	2	8	0	11	28	11	12	10.71%	4	17.:.46	3	1	4	0	0	2	1	1	46.15%	13	23	4	0	0	1.12	0
2	Chris Tierney	Bears (WSH)		C	7	3	3	6	0	0	0	12	24	13	16	12.50%	4	24.:.03	1	2	3	0	0	18	0	0	60.90%	156	18	7	0	0	0.71	0
3	Brett Connolly	Bears (WSH)		LW/RW	5	2	4	6	3	0	0	10	16	6	19	12.50%	0	18.:.42	1	1	2	0	0	0	0	0	50.00%	6	18	3	0	0	1.28	0
4	Julian Melchiori	Bears (WSH)		D	7	2	2	4	1	0	0	6	9	9	9	22.22%	15	22.:.59	0	2	2	0	0	12	1	0	0.00%	0	6	13	0	0	0.50	0
5	Frank Vatrano	Bears (WSH)		C/LW/RW	7	1	1	2	-3	4	0	16	15	12	18	6.67%	3	18.:.17	1	0	1	0	0	0	1	0	32.84%	67	30	1	0	0	0.31	0
6	Jack Skille	Bears (WSH)		LW/RW	6	1	1	2	-2	0	0	15	11	8	12	9.09%	4	16.:.09	0	1	1	0	0	2	0	1	0.00%	4	7	2	0	0	0.41	0
7	Dillon Simpson	Bears (WSH)		D	7	0	2	2	2	21	5	8	12	2	3	0.00%	15	21.:.23	0	1	1	0	0	9	0	0	0.00%	0	2	2	0	0	0.27	0
8	Mike Brown	Bears (WSH)		LW/RW	7	0	1	1	-2	7	5	6	15	4	16	0.00%	4	20.:.48	0	1	1	0	0	22	0	0	0.00%	2	8	4	0	0	0.14	0
9	Tyler Wotherspoon	Bears (WSH)		D	1	0	0	0	0	0	0	0	3	3	3	0.00%	2	23.:.37	0	0	0	0	0	1	0	0	0.00%	0	1	1	0	0	0.00	0
10	Timo Meier	Bears (WSH)		C/LW/RW	7	0	0	0	-2	0	0	3	17	2	9	0.00%	3	14.:.45	0	0	0	0	0	4	0	0	27.78%	18	9	2	0	0	0.00	0
11	Nathan Paetsch	Bears (WSH)		D	7	0	0	0	-2	0	0	20	7	8	6	0.00%	17	26.:.04	0	0	0	0	0	18	0	0	0.00%	0	2	9	0	0	0.00	0
12	Andrew Copp	Bears (WSH)		C	7	0	0	0	-1	2	0	10	18	9	11	0.00%	2	15.:.23	0	0	0	0	0	3	0	0	48.65%	74	13	0	0	0	0.00	0
13	Jason Dickinson	Bears (WSH)		C/LW	1	0	0	0	0	0	0	1	1	0	1	0.00%	0	14.:.01	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0
14	Joel Lowry	Bears (WSH)		LW	5	0	0	0	1	0	0	4	0	1	0	0.00%	1	06.:.49	0	0	0	0	0	0	0	0	0.00%	3	0	0	0	0	0.00	0
15	Joonas Kemppainen	Bears (WSH)		C	1	0	0	0	1	0	0	3	0	0	0	0.00%	0	15.:.51	0	0	0	0	0	0	0	0	62.50%	8	0	0	0	0	0.00	0
16	Garrett Noonan	Bears (WSH)		D	7	0	0	0	-2	5	5	6	5	1	3	0.00%	15	16.:.28	0	0	0	0	0	5	0	0	0.00%	0	1	8	0	0	0.00	0
17	Danny Syvret	Bears (WSH)		D	7	0	0	0	-3	5	5	8	9	8	3	0.00%	9	15.:.47	0	0	0	0	0	0	0	0	0.00%	0	0	7	0	0	0.00	0
18	Max McCormick	Bears (WSH)		C/LW	7	0	0	0	-3	19	15	8	19	4	10	0.00%	2	14.:.43	0	0	0	0	0	5	0	0	60.00%	10	10	2	0	0	0.00	0
19	Jeff Schultz	Bears (WSH)		D	6	0	0	0	-2	27	5	12	9	3	4	0.00%	14	23.:.18	0	0	0	0	0	13	0	0	0.00%	0	1	11	0	0	0.00	0
20	Cody Beach	Bears (WSH)		RW	6	0	0	0	0	2	0	5	2	0	0	0.00%	0	08.:.18	0	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0.00	0
21	Yannick Veilleux	Bears (WSH)		LW	6	0	0	0	0	0	0	6	5	1	4	0.00%	4	08.:.11	0	0	0	0	0	0	0	0	50.00%	2	5	1	0	0	0.00	0
22	Pontus Aberg	Bears (WSH)		LW/RW	5	0	0	0	-3	4	0	14	2	1	0	0.00%	3	12.:.22	0	0	0	0	0	0	0	0	0.00%	1	3	0	0	0	0.00	1
Stats d'équipe Total ou en Moyenne			126	12	18	30	-15	104	40	184	160	227	106	159	5.29%	121	2178	17.29	6	9	15	27	141	0	0	5	122	3	2	49.32%	365	157	77	0	0.28	0	1	2	1	5	2	2	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 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	Mike McKenna	Bears (WSH)	7	3	2	2	94.4%	1.77	441	2	0	13	232	150	1	0	0.0%	0	7	0	1	1	2
Stats d'équipe Total ou en Moyenne		7	3	2	2	0.944	1.77	441	2	0	13	232	150	1	0	0.000	0	7	0	1	1	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	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	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	Bears (WSH)	C	22	8.7.1994 23:54:15	Yes	188 Lbs	6 ft1	No	No	3	Contrat d'Entrée	Pro & Farm	1,100,000$	1,100,000$	1,100,000$								Lien
Anton Forsberg	Bears (WSH)	G	24	27.11.1992	No	176 Lbs	6 ft2	No	No	3	Avec Restriction	Pro & Farm	1,100,000$	1,200,000$	1,200,000$								Lien
Brett Connolly	Bears (WSH)	LW/RW	25	2.5.1992 5:34:25	No	181 Lbs	6 ft2	No	No	1	Avec Restriction	Pro & Farm	1,300,000$										Lien
Cedrick Desjardins	Bears (WSH)	G	31	30.9.1985	No	192 Lbs	6 ft0	No	No	1	Sans Restriction	Pro & Farm	800,000$
Chris Tierney	Bears (WSH)	C	22	1.7.1994 1:04:35	Yes	195 Lbs	6 ft0	No	No	2	Contrat d'Entrée	Pro & Farm	1,300,000$	1,300,000$									Lien
Cody Beach	Bears (WSH)	RW	24	8.8.1992 5:02:22	No	190 Lbs	6 ft5	No	No	7	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Connor Crisp	Bears (WSH)	LW	23	8.4.1994	Yes	226 Lbs	6 ft3	No	No	9	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Danny Syvret	Bears (WSH)	D	31	13.6.1985	No	205 Lbs	6 ft0	No	No	1	Sans Restriction	Pro & Farm	800,000$										Lien
Dillon Simpson	Bears (WSH)	D	24	10.2.1993	No	194 Lbs	6 ft1	No	No	9	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Dylan Labbe	Bears (WSH)	D	22	8.1.1995	Yes	194 Lbs	6 ft2	No	No	10	Contrat d'Entrée	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Frank Vatrano	Bears (WSH)	C/LW/RW	23	14.3.1994 23:11:12	Yes	215 Lbs	5 ft10	No	No	2	Avec Restriction	Pro & Farm	1,200,000$	1,200,000$									Lien
Garrett Noonan	Bears (WSH)	D	26	28.1.1991	No	205 Lbs	6 ft0	No	No	9	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Jack Skille	Bears (WSH)	LW/RW	30	19.5.1987	No	216 Lbs	6 ft1	No	No	2	Sans Restriction	Pro & Farm	1,200,000$	1,200,000$									Lien
Jason Dickinson	Bears (WSH)	C/LW	21	3.7.1995	Yes	185 Lbs	6 ft1	No	No	10	Contrat d'Entrée	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Jeff Schultz	Bears (WSH)	D	31	25.2.1986	No	230 Lbs	6 ft6	No	No	1	Sans Restriction	Pro & Farm	1,700,000$										Lien
Joel Lowry	Bears (WSH)	LW	25	14.11.1991	Yes	180 Lbs	6 ft1	No	No	10	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Joonas Kemppainen	Bears (WSH)	C	29	7.4.1988	No	213 Lbs	6 ft2	No	No	1	Sans Restriction	Pro & Farm	1,300,000$										Lien
Julian Melchiori	Bears (WSH)	D	25	6.12.1991 5:06:52	No	214 Lbs	6 ft5	No	No	1	Avec Restriction	Pro & Farm	1,000,000$										Lien
Max McCormick	Bears (WSH)	C/LW	25	1.5.1992	No	185 Lbs	5 ft11	No	No	1	Avec Restriction	Pro & Farm	1,000,000$										Lien
Mike Brown	Bears (WSH)	LW/RW	31	24.6.1985	No	205 Lbs	5 ft11	No	No	1	Sans Restriction	Pro & Farm	1,200,000$										Lien
Mike McKenna	Bears (WSH)	G	33	11.10.1983	No	190 Lbs	6 ft2	No	No	2	Sans Restriction	Pro & Farm	1,100,000$	1,100,000$									Lien
Mike Santorelli	Bears (WSH)	C/LW/RW	31	14.12.1985	No	189 Lbs	6 ft0	No	No	1	Sans Restriction	Pro & Farm	1,200,000$										Lien
Nathan Paetsch	Bears (WSH)	D	34	30.3.1983	No	195 Lbs	6 ft1	No	No	1	Sans Restriction	Pro & Farm	700,000$										Lien
Pontus Aberg	Bears (WSH)	LW/RW	23	22.9.1993	Yes	189 Lbs	5 ft11	No	No	9	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Timo Meier	Bears (WSH)	C/LW/RW	20	8.10.1996 14:54:20	Yes	96 Lbs	6 ft0	No	No	1	Contrat d'Entrée	Pro & Farm	400,000$
Tyler Wotherspoon	Bears (WSH)	D	24	12.3.1993 2:02:58	Yes	210 Lbs	6 ft2	No	No	3	Avec Restriction	Pro & Farm	700,000$	1,100,000$	1,100,000$								Lien
Yannick Veilleux	Bears (WSH)	LW	24	22.2.1993 5:08:43	Yes	206 Lbs	6 ft2	No	No	9	Avec Restriction	Farm Only	100,000$	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
27	26.04	195 Lbs	6 ft1	4.07	740,741$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brett Connolly	Mike Santorelli	Mike Brown	40	1	2	2
2	Jack Skille	Frank Vatrano	Pontus Aberg	30	1	2	2
3	Jason Dickinson	Joonas Kemppainen	Timo Meier	20	1	2	2
4	Max McCormick	Andrew Copp	Brett Connolly	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nathan Paetsch	Julian Melchiori	40	1	2	2
2	Dillon Simpson	Danny Syvret	30	1	2	2
3	Garrett Noonan	Dylan Labbe	20	1	2	2
4	Nathan Paetsch	Julian Melchiori	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brett Connolly	Mike Santorelli	Mike Brown	60	1	2	2
2	Jack Skille	Frank Vatrano	Pontus Aberg	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nathan Paetsch	Julian Melchiori	60	1	2	2
2	Dillon Simpson	Danny Syvret	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Brett Connolly	Mike Brown	60	1	2	2
2	Mike Santorelli	Jack Skille	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nathan Paetsch	Julian Melchiori	60	1	2	2
2	Dillon Simpson	Danny Syvret	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Brett Connolly	60	1	2	2	Nathan Paetsch	Julian Melchiori	60	1	2	2
2	Mike Brown	40	1	2	2	Dillon Simpson	Danny Syvret	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Brett Connolly	Mike Brown	60	1	2	2
2	Mike Santorelli	Jack Skille	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nathan Paetsch	Julian Melchiori	60	1	2	2
2	Dillon Simpson	Danny Syvret	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brett Connolly	Mike Santorelli	Mike Brown	Nathan Paetsch	Julian Melchiori

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brett Connolly	Mike Santorelli	Mike Brown	Nathan Paetsch	Julian Melchiori

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Joel Lowry, Joonas Kemppainen, Andrew Copp	Joel Lowry, Joonas Kemppainen	Andrew Copp

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Garrett Noonan, Dylan Labbe, Dillon Simpson	Garrett Noonan	Dylan Labbe, Dillon Simpson

Tirs de Pénalité
Brett Connolly, Mike Brown, Mike Santorelli, Jack Skille, Frank Vatrano

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

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	L	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	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	Rampage	7	3	4	12	13	-1	6	0.429	12	18	30	4	6	1	1	227	63	82	73	9	232	121	106	184	17	6	35.29%	19	4	78.95%	75	145	51.72%	69	138	50.00%	36	82	43.90%	164	102	160	61	117	58
	Vs Division	7	3	4	12	13	-1	6	0.429	12	18	30	4	6	1	1	227	63	82	73	9	232	121	106	184	17	6	35.29%	19	4	78.95%	75	145	51.72%	69	138	50.00%	36	82	43.90%	164	102	160	61	117	58
	Vs Conference	7	3	4	12	13	-1	6	0.429	12	18	30	4	6	1	1	227	63	82	73	9	232	121	106	184	17	6	35.29%	19	4	78.95%	75	145	51.72%	69	138	50.00%	36	82	43.90%	164	102	160	61	117	58
	Since Last GM Reset	7	3	4	12	13	-1	6	0.429	12	18	30	4	6	1	1	227	63	82	73	9	232	121	106	184	17	6	35.29%	19	4	78.95%	75	145	51.72%	69	138	50.00%	36	82	43.90%	164	102	160	61	117	58
	Total	7	3	4	12	13	-1	6	0.429	12	18	30	4	6	1	1	227	63	82	73	9	232	121	106	184	17	6	35.29%	19	4	78.95%	75	145	51.72%	69	138	50.00%	36	82	43.90%	164	102	160	61	117	58

			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
7	6	L1	12	18	30	227	232	121	106	184	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	12	13

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	6	4

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	6	9

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	2	1	2	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
17	6	35.29%	19	4	78.95%	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
63	82	73	9	4	6	1	1

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
75	145	51.72%	69	138	50.00%	36	82	43.90%

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
164	102	160	61	117	58

Derniers Match Joués

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
Mon, Apr 21	@	Bears2,Rampage1	RECAP
Wed, Apr 23	@	Bears1,Rampage2	RECAP
Fri, Apr 25	@	Rampage2,Bears1 (OT)	RECAP
Sun, Apr 27	@	Rampage1,Bears3	RECAP
Tue, Apr 29	@	Bears1,Rampage2 (OT)	RECAP
Thu, May 1	@	Rampage1,Bears2 (OT)	RECAP
Sat, May 3	@	Bears2,Rampage4	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
38	0 - 0.00%	0$	0$	3000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,000,000$	910,000$	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