LHSDB - Rochester Americans

Buffalo Sabres
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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	Anton Slepyshev		X	X		100.00	89	50	59	77	72	57	63	56	50	62	59	60	50	50	50	1	96	0	0
2	John Quenneville (R)	X				100.00	58	50	62	78	72	66	67	70	50	70	58	62	50	50	50	1	97	0	0
3	Devin Setoguchi (R)		X	X		100.00	57	50	87	70	74	60	61	69	50	64	59	53	50	72	75	1	96	0	0
4	Peter Cehlarik (R)		X	X		100.00	58	50	63	70	75	69	64	70	56	64	55	53	50	50	50	1	96	0	0
5	Cory Conacher (R)	X	X			100.00	50	63	56	74	63	68	69	70	50	60	61	61	58	60	61	1	96	0	0
6	Zach Sanford (R)	X	X			100.00	58	50	85	74	71	57	63	59	50	60	59	59	50	50	50	1	95	0	0
7	Greg Carey	X				100.00	57	71	67	70	71	72	68	62	78	56	65	65	62	50	50	1	94	0	0
8	Casey Nelson (R)	X				100.00	59	50	65	74	69	61	60	63	50	50	55	62	50	50	50	1	64	0	0
9	Erik Condra	X	X			100.00	52	50	87	74	70	54	65	58	50	50	55	65	50	68	70	1	78	0	0
10	Taylor Beck		X	X		100.00	58	75	72	66	75	69	69	72	50	60	64	68	61	55	56	1	87	0	0
11	Shane Harper		X	X		100.00	59	50	59	72	69	56	66	59	50	57	66	59	50	50	50	1	84	0	0
12	Teddy Purcell		X	X		100.00	58	50	78	67	83	62	66	60	50	63	55	61	50	73	75	1	86	0	0
13	Oliver Kylington (R)				X	100.00	56	67	67	72	67	63	67	52	25	57	59	61	50	50	50	1	82	0	0
14	Robbie Russo				X	100.00	62	50	75	76	70	71	78	62	25	50	50	69	50	50	50	1	96	0	0
15	Jyrki Jokipakka				X	100.00	55	50	71	75	77	69	67	56	25	61	61	66	50	60	60	1	96	0	0
16	Kevin Gravel				X	100.00	67	50	74	70	69	63	75	69	25	51	50	63	50	50	50	1	96	0	0
17	Mark Streit				X	100.00	72	50	88	85	82	83	82	87	25	74	63	75	50	80	82	1	79	0	0
18	Blake Siebenaler (R)				X	100.00	64	75	72	66	75	63	67	50	25	50	50	62	50	50	50	1	86	0	0
19	Julius Honka				X	100.00	71	50	87	89	67	72	86	75	25	63	60	61	50	70	70	1	94	0	0
Rayé
1	Cameron Darcy	X				100.00	74	70	65	62	70	58	62	50	61	50	50	61	50	50	50	1	24	0	0
2	Eric Cornel (R)		X			100.00	55	72	64	62	72	71	68	50	61	50	50	62	50	50	50	1	25	0	0
3	Conner Bleackley (R)	X				100.00	55	70	67	62	70	61	63	50	63	50	50	62	50	50	50	1	25	0	0
4	Vaclav Karabacek (R)	X	X			100.00	58	71	62	60	71	55	60	53	50	50	51	63	50	50	50	1	24	0	0
5	Justin Holl				X	100.00	56	66	67	63	66	68	69	50	25	50	50	59	50	50	50	1	25	0	0
6	Vojtech Mozik				X	100.00	57	73	61	66	73	66	69	50	25	50	50	61	50	50	50	1	25	0	0
7	Reece Scarlett				X	100.00	54	66	59	62	66	64	67	52	25	57	50	58	50	50	50	1	24	0	0

	MOYENNE D'ÉQUIPE					100.00	60	59	70	71	72	65	68	61	43	57	56	62	51	55	56	1	72	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 Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Charlie Lindgren	100.00	66	70	67	72	70	71	68	70	71	71	31	69	67	1	93	0	0
2	Marek Mazanec	100.00	71	80	87	76	68	73	66	70	70	70	31	71	69	1	84	0	0
Rayé
1	Jussi Olkinuora	100.00	57	79	70	66	67	68	67	63	64	64	46	61	63	1	81	0	0

	MOYENNE D'ÉQUIPE	100.00	65	76	75	71	68	71	67	68	68	68	36	67	66	1	86	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Scott Stevens	57	80	69	60	65	70	67	CAN	52	2	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	P/20	S1	S2	S3
1	Greg Carey	Rochester Americans (Buf)	C	5	3	4	7	2	2	9	13	12	1	14	25.00%	0	101	20.36	1	2	3	5	27	0	12	0	60.40%	101	1.38	2	0	1
2	Mark Streit	Rochester Americans (Buf)	D	5	2	5	7	1	8	5	14	22	4	8	9.09%	3	119	23.99	2	4	6	20	30	0	18	0	0.00%	0	1.17	0	1	1
3	Devin Setoguchi	Rochester Americans (Buf)	LW/RW	5	2	3	5	2	0	0	8	8	1	5	25.00%	0	87	17.45	0	1	1	2	26	0	0	1	16.67%	6	1.15	0	0	0
4	Kevin Gravel	Rochester Americans (Buf)	D	5	2	3	5	3	4	14	2	3	2	1	66.67%	5	72	14.42	1	1	2	2	4	0	3	0	0.00%	0	1.39	1	0	0
5	Julius Honka	Rochester Americans (Buf)	D	5	2	3	5	1	4	7	4	6	3	6	33.33%	3	119	23.88	2	0	2	6	27	0	21	1	0.00%	0	0.84	1	1	0
6	Peter Cehlarik	Rochester Americans (Buf)	LW/RW	5	2	2	4	1	0	2	8	7	3	6	28.57%	0	68	13.77	0	1	1	0	3	0	2	0	25.00%	4	1.16	0	0	0
7	Jyrki Jokipakka	Rochester Americans (Buf)	D	5	0	4	4	1	2	4	5	7	4	1	0.00%	5	108	21.74	0	1	1	3	25	0	21	0	0.00%	0	0.74	0	0	0
8	Taylor Beck	Rochester Americans (Buf)	LW/RW	5	2	2	4	0	4	3	4	10	3	5	20.00%	3	104	20.81	1	2	3	5	27	0	27	0	80.00%	10	0.77	0	0	0
9	Teddy Purcell	Rochester Americans (Buf)	LW/RW	5	0	4	4	0	0	4	1	4	1	4	0.00%	0	73	14.68	0	2	2	2	27	0	0	0	0.00%	2	1.09	0	0	0
10	John Quenneville	Rochester Americans (Buf)	C	5	2	1	3	2	8	10	6	12	3	8	16.67%	0	115	23.13	1	0	1	6	25	1	23	0	37.72%	114	0.52	0	1	0
11	Anton Slepyshev	Rochester Americans (Buf)	LW/RW	5	1	1	2	1	6	13	5	4	1	9	25.00%	0	72	14.57	0	1	1	0	2	0	6	1	42.11%	19	0.55	0	1	0
12	Cory Conacher	Rochester Americans (Buf)	C/LW	5	1	1	2	2	0	8	4	9	1	10	11.11%	0	102	20.53	0	0	0	2	27	1	12	0	55.56%	9	0.39	0	0	0
13	Blake Siebenaler	Rochester Americans (Buf)	D	5	0	2	2	3	12	4	2	2	0	0	0.00%	6	74	14.80	0	0	0	0	1	0	8	0	0.00%	0	0.54	0	0	1
14	Zach Sanford	Rochester Americans (Buf)	C/LW	5	0	1	1	1	0	0	4	3	1	3	0.00%	2	62	12.60	0	0	0	0	0	0	0	0	31.82%	66	0.32	0	0	0
15	Casey Nelson	Rochester Americans (Buf)	C	5	1	0	1	0	0	2	1	1	1	2	100.00%	0	13	2.72	1	0	1	1	5	0	3	1	44.44%	9	1.47	0	0	0
16	Erik Condra	Rochester Americans (Buf)	C/LW	5	1	0	1	2	0	1	5	1	0	0	100.00%	0	21	4.32	0	0	0	0	0	0	0	0	22.58%	31	0.93	0	0	0
17	Robbie Russo	Rochester Americans (Buf)	D	5	0	1	1	1	6	6	4	3	0	4	0.00%	3	105	21.12	0	1	1	2	25	0	18	0	0.00%	0	0.19	0	0	0
18	Shane Harper	Rochester Americans (Buf)	LW/RW	5	0	1	1	2	2	4	1	3	0	1	0.00%	0	21	4.32	0	0	0	0	0	0	0	0	0.00%	0	0.93	0	0	0
Stats d'équipe Total ou en Moyenne				90	21	38	59	25	58	96	91	117	29	87	17.95%	30	1446	16.07	9	16	25	56	288	2	180	4	42.86%	371	0.82	4	4	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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Marek Mazanec	Rochester Americans (Buf)	5	4	1	0	0.913	2.01	299	0	0	10	115	0	1	0	0.000	0	5	0	0	0	0
Stats d'équipe Total ou en Moyenne			5	4	1	0	0.913	2.01	299	0	0	10	115	0	1	0	0.000	0	5	0	0	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	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4
Anton Slepyshev	Rochester Americans (Buf)	LW/RW	22	1994-05-12	No	194 Lbs	6 ft2	No	No	No	3	Contrat d'Entrée	Pro & Farm	300,000$	0$	0$	No	300,000$	300,000$
Blake Siebenaler	Rochester Americans (Buf)	D	20	1996-02-26	Yes	208 Lbs	6 ft1	No	No	No	4	Contrat d'Entrée	Pro & Farm	300,000$	0$	0$	No	300,000$	300,000$	300,000$
Cameron Darcy	Rochester Americans (Buf)	C	22	1994-03-02	No	192 Lbs	6 ft0	No	No	No	3	Contrat d'Entrée	Pro & Farm	300,000$	0$	0$	No	300,000$	300,000$
Casey Nelson	Rochester Americans (Buf)	C	24	1992-07-18	Yes	183 Lbs	6 ft2	No	No	No	4	Avec Restriction	Pro & Farm	300,000$	0$	0$	No	300,000$	300,000$	300,000$
Charlie Lindgren	Rochester Americans (Buf)	G	23	1993-12-17	No	181 Lbs	6 ft1	No	No	No	3	Avec Restriction	Pro & Farm	300,000$	0$	0$	No	300,000$	300,000$
Conner Bleackley	Rochester Americans (Buf)	C	20	1996-02-06	Yes	192 Lbs	6 ft0	No	No	No	4	Contrat d'Entrée	Pro & Farm	500,000$	0$	0$	No	500,000$	500,000$	500,000$
Cory Conacher	Rochester Americans (Buf)	C/LW	27	1989-12-14	Yes	180 Lbs	5 ft8	No	No	No	1	Avec Restriction	Pro & Farm	500,000$	0$	0$	No
Devin Setoguchi	Rochester Americans (Buf)	LW/RW	30	1987-01-01	Yes	205 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	500,000$	0$	0$	No	500,000$
Eric Cornel	Rochester Americans (Buf)	LW	20	1996-04-10	Yes	191 Lbs	6 ft2	No	No	No	4	Contrat d'Entrée	Pro & Farm	500,000$	0$	0$	No	500,000$	500,000$	500,000$
Erik Condra	Rochester Americans (Buf)	C/LW	30	1986-08-06	No	190 Lbs	6 ft0	No	No	No	4	Sans Restriction	Pro & Farm	350,000$	0$	0$	No	350,000$	350,000$	350,000$
Greg Carey	Rochester Americans (Buf)	C	26	1990-04-04	No	195 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	300,000$	0$	0$	No
John Quenneville	Rochester Americans (Buf)	C	20	1996-04-16	Yes	195 Lbs	6 ft1	No	No	No	4	Contrat d'Entrée	Pro & Farm	500,000$	0$	0$	No	500,000$	500,000$	500,000$
Julius Honka	Rochester Americans (Buf)	D	21	1995-12-02	No	185 Lbs	5 ft11	No	No	No	3	Contrat d'Entrée	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$
Jussi Olkinuora	Rochester Americans (Buf)	G	26	1990-11-03	No	201 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	300,000$	0$	0$	No
Justin Holl	Rochester Americans (Buf)	D	24	1992-01-30	No	170 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	300,000$	0$	0$	No	300,000$	300,000$
Jyrki Jokipakka	Rochester Americans (Buf)	D	25	1991-08-19	No	210 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	300,000$	0$	0$	No
Kevin Gravel	Rochester Americans (Buf)	D	24	1992-03-05	No	185 Lbs	6 ft4	No	No	No	1	Avec Restriction	Pro & Farm	300,000$	0$	0$	No
Marek Mazanec	Rochester Americans (Buf)	G	25	1991-07-17	No	187 Lbs	6 ft4	No	No	No	1	Avec Restriction	Pro & Farm	300,000$	0$	0$	No
Mark Streit	Rochester Americans (Buf)	D	39	1977-12-10	No	191 Lbs	5 ft11	No	No	No	2	Sans Restriction	Pro & Farm	4,000,000$	0$	0$	No	4,000,000$
Oliver Kylington	Rochester Americans (Buf)	D	19	1997-05-19	Yes	181 Lbs	6 ft0	No	No	No	4	Contrat d'Entrée	Pro & Farm	500,000$	0$	0$	No	500,000$	500,000$	500,000$
Peter Cehlarik	Rochester Americans (Buf)	LW/RW	21	1995-05-12	Yes	202 Lbs	6 ft2	No	No	No	4	Contrat d'Entrée	Pro & Farm	300,000$	0$	0$	No	300,000$	300,000$	300,000$
Reece Scarlett	Rochester Americans (Buf)	D	23	1993-03-31	No	180 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	300,000$	0$	0$	No
Robbie Russo	Rochester Americans (Buf)	D	23	1993-02-15	No	190 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	925,000$	0$	0$	No
Shane Harper	Rochester Americans (Buf)	LW/RW	27	1989-02-01	No	193 Lbs	5 ft11	No	No	No	2	Avec Restriction	Pro & Farm	300,000$	0$	0$	No	300,000$
Taylor Beck	Rochester Americans (Buf)	LW/RW	25	1991-05-13	No	203 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	300,000$	0$	0$	No	300,000$	300,000$
Teddy Purcell	Rochester Americans (Buf)	LW/RW	31	1985-09-07	No	198 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	2,500,000$	0$	0$	No
Vaclav Karabacek	Rochester Americans (Buf)	C/LW	20	1996-05-01	Yes	199 Lbs	6 ft0	No	No	No	4	Contrat d'Entrée	Pro & Farm	500,000$	0$	0$	No	500,000$	500,000$	500,000$
Vojtech Mozik	Rochester Americans (Buf)	D	24	1992-12-26	No	196 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	300,000$	0$	0$	No	300,000$	300,000$
Zach Sanford	Rochester Americans (Buf)	C/LW	22	1994-11-09	Yes	185 Lbs	6 ft3	No	No	No	4	Contrat d'Entrée	Pro & Farm	500,000$	0$	0$	No	500,000$	500,000$	500,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
29	24.24	192 Lbs	6 ft1	2.62	602,586$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Taylor Beck	John Quenneville	Teddy Purcell	40	1	2	2
2	Cory Conacher	Greg Carey	Devin Setoguchi	30	1	2	2
3	Peter Cehlarik	Zach Sanford	Anton Slepyshev	20	1	2	2
4	Shane Harper	Erik Condra	John Quenneville	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Streit	Julius Honka	40	1	2	2
2	Jyrki Jokipakka	Robbie Russo	30	1	2	2
3	Kevin Gravel	Blake Siebenaler	20	1	2	2
4	Mark Streit	Julius Honka	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Taylor Beck	John Quenneville	Teddy Purcell	60	1	2	2
2	Cory Conacher	Greg Carey	Devin Setoguchi	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Streit	Julius Honka	60	1	2	2
2	Jyrki Jokipakka	Robbie Russo	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	John Quenneville	Taylor Beck	60	1	2	2
2	Greg Carey	Cory Conacher	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Streit	Julius Honka	60	1	2	2
2	Jyrki Jokipakka	Robbie Russo	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	John Quenneville	60	1	2	2	Mark Streit	Julius Honka	60	1	2	2
2	Taylor Beck	40	1	2	2	Jyrki Jokipakka	Robbie Russo	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	John Quenneville	Taylor Beck	60	1	2	2
2	Greg Carey	Cory Conacher	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Streit	Julius Honka	60	1	2	2
2	Jyrki Jokipakka	Robbie Russo	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Taylor Beck	John Quenneville	Teddy Purcell	Mark Streit	Julius Honka

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Taylor Beck	John Quenneville	Teddy Purcell	Mark Streit	Julius Honka

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Casey Nelson, Peter Cehlarik, Anton Slepyshev	Casey Nelson, Peter Cehlarik	Anton Slepyshev

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Kevin Gravel, Blake Siebenaler, Jyrki Jokipakka	Kevin Gravel	Blake Siebenaler, Jyrki Jokipakka

Tirs de Pénalité
John Quenneville, Taylor Beck, Greg Carey, Cory Conacher, Teddy Purcell

Gardien
#1 : Marek Mazanec, #2 : Charlie Lindgren

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	Abbotsford Heat	5	4	1	0	0	0	0	0	21	10	11	3	2	1	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	8	3	5	8	0.800	21	38	59	0	0	10	3	8	0	117	33	47	37	0	115	30	58	96	37	9	24.32%	27	3	88.89%	0	60	136	44.12%	70	158	44.30%	29	77	37.66%	131	91	108	33	60	33
	Total	5	4	1	0	0	0	0	0	21	10	11	3	2	1	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	8	3	5	8	0.800	21	38	59	0	0	10	3	8	0	117	33	47	37	0	115	30	58	96	37	9	24.32%	27	3	88.89%	0	60	136	44.12%	70	158	44.30%	29	77	37.66%	131	91	108	33	60	33
	_Since Last GM Reset	5	4	1	0	0	0	0	0	21	10	11	3	2	1	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	8	3	5	8	0.800	21	38	59	0	0	10	3	8	0	117	33	47	37	0	115	30	58	96	37	9	24.32%	27	3	88.89%	0	60	136	44.12%	70	158	44.30%	29	77	37.66%	131	91	108	33	60	33
	_Vs Conference	5	4	1	0	0	0	0	0	21	10	11	3	2	1	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	8	3	5	8	0.800	21	38	59	0	0	10	3	8	0	117	33	47	37	0	115	30	58	96	37	9	24.32%	27	3	88.89%	0	60	136	44.12%	70	158	44.30%	29	77	37.66%	131	91	108	33	60	33

			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
5	8	W4	21	38	59	117	115	30	58	96	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	4	1	0	0	0	0	21	10

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	13	7

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	8	3

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	1	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
37	9	24.32%	27	3	88.89%	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
33	47	37	0	10	3	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
60	136	44.12%	70	158	44.30%	29	77	37.66%

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
131	91	108	33	60	33

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	Lien
2 - 2018-04-08	7	Abbotsford Heat	5	Rochester Americans	4	L	Sommaire du Match
4 - 2018-04-10	15	Abbotsford Heat	1	Rochester Americans	3	W	Sommaire du Match
6 - 2018-04-12	23	Rochester Americans	3	Abbotsford Heat	1	W	Sommaire du Match
8 - 2018-04-14	31	Rochester Americans	5	Abbotsford Heat	2	W	Sommaire du Match
10 - 2018-04-16	39	Abbotsford Heat	1	Rochester Americans	6	W	Sommaire du Match
16 - 2018-04-22	60	Rochester Americans	-	Milwaukee Admirals	-
18 - 2018-04-24	64	Rochester Americans	-	Milwaukee Admirals	-
20 - 2018-04-26	68	Milwaukee Admirals	-	Rochester Americans	-
22 - 2018-04-28	72	Milwaukee Admirals	-	Rochester Americans	-
24 - 2018-04-30	76	Rochester Americans	-	Milwaukee Admirals	-
26 - 2018-05-02	80	Milwaukee Admirals	-	Rochester Americans	-
28 - 2018-05-04	84	Rochester Americans	-	Milwaukee Admirals	-

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
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	174,750$	170,562$	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$	13	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
12	5	4	1	0	0	0	0	0	21	10	11	3	2	1	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	8	3	5	8	21	38	59	0	0	10	3	8	0	117	33	47	37	0	115	30	58	96	37	9	24.32%	27	3	88.89%	0	60	136	44.12%	70	158	44.30%	29	77	37.66%	131	91	108	33	60	33
Total Séries	5	4	1	0	0	0	0	0	21	10	11	3	2	1	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	8	3	5	8	21	38	59	0	0	10	3	8	0	117	33	47	37	0	115	30	58	96	37	9	24.32%	27	3	88.89%	0	60	136	44.12%	70	158	44.30%	29	77	37.66%	131	91	108	33	60	33

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Pro Team Schedule	Team Finance	Team Prospects	Team History	Team Injury Suspension	Pro Team Stats	Pro Team Stats VS
Coaches	Waivers	Today Transactions	Transactions	Schedule	Pro Leaders	Pro Individual Leaders
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Free Agents	Rerate Difference	Pro All Players Stats	Farm All Players Stats	Trade History