Ligue de Hockey Simulé de l'Estrie - Jarrets Noirs

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	Jarrets Noirs
	GP: 82 \| W: 14 \| L: 66 \| OTL: 2 \| P: 30 GF: 178 \| GA: 377 \| PP%: 30.04% \| PK%: 45.15% DG: Patrickkkk Duchesneau \| Morale : 50 \| Moyenne d’équipe : 62

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Centre de jeu
	Jarrets Noirs 14-66-2, 30pts	2	FINAL	1	Red Bull 45-27-10, 100pts

Team Stats
W3	Streak	W1
6-34-1	Home Record	23-14-4
8-32-1	Away Record	22-13-6
5-5-0	Last 10 Games	8-2-0
2.17	Goals Per Game	3.33
4.60	Goals Against Per Game	2.56
30.04%	Power Play Percentage	51.66%
45.15%	Penalty Kill Percentage	65.17%

Jarrets Noirs
14-66-2, 30pts

3

FINAL

1

Thunderbirds
42-33-7, 91pts

Team Stats
W3	Streak	W1
6-34-1	Home Record	20-18-3
8-32-1	Away Record	22-15-4
5-5-0	Last 10 Games	6-3-1
2.17	Goals Per Game	2.79
4.60	Goals Against Per Game	2.72
30.04%	Power Play Percentage	41.26%
45.15%	Penalty Kill Percentage	64.75%

Meneurs d'équipe

Statistiques d’équipe
Buts pour 178 2.17 GFG	Tirs pour 1836 22.39 Avg	Pourcentage en avantage numérique 30.0% 79 GF	Début de zone offensive 31.0%
Buts contre 377 4.60 GAA	Tirs contre 2415 29.45 Avg	Pourcentage en désavantage numérique 45.1% 243 GA	Début de la zone défensive 34.8%

Information d’équipe
	Directeur général	Patrickkkk Duchesneau
	Entraîneur	Guy Boucher
	Division	Nord-Est
	Conférence	Est
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Capacité	3,000
	Assistance	2,314
	Billets de saison	300
Information formation
	Équipe Pro	25
	Équipe Mineure	19
	Limite contact	44 / 75
	Espoirs	70

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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	TA	SP	Âge	Contrat	Salaire moyen
1	Jayce Hawryluk			X		100.00	93	36	89	84	60	63	48	56	49	54	58	67	56	54	72	0	50	69		0	25	3	700,000$
2	Dillon Dube (R)	X				100.00	70	36	93	85	58	69	69	56	47	53	58	64	62	48	65	0	46	68		0	23	3	1,000,000$
3	Dominic Toninato	X				100.00	65	38	89	85	65	66	62	51	56	47	54	67	52	60	69	0	50	67		0	27	1	800,000$
4	Kris Versteeg			X		100.00	47	32	94	86	55	55	33	49	45	45	53	58	55	84	76	0	46	62		0	35	3	575,000$
5	Pascal Dupuis			X		100.00	48	31	95	82	67	52	25	46	41	41	51	56	50	99	82	0	46	61		0	42	3	575,000$
6	Joe Colborne	X				100.00	50	31	95	81	80	53	32	47	42	42	52	56	52	72	69	0	50	61		0	31	2	700,000$
7	Joffrey Lupul		X			100.00	47	30	95	81	69	52	27	46	41	40	51	55	52	93	79	0	46	60		0	38	1	575,000$
8	Peter Cehlarik		X			100.00	48	36	94	83	68	59	25	48	48	45	52	55	51	57	62	0	50	60		0	26	3	800,000$
9	Joseph LaBate (R)	X				100.00	45	30	95	83	77	50	25	45	40	40	50	55	50	63	63	0	46	59		0	28	3	550,000$
10	Mirco Mueller				X	100.00	71	37	90	83	68	71	71	54	49	53	55	75	53	57	71	0	44	72		0	26	2	850,000$
11	Brandon Davidson				X	100.00	67	34	93	82	66	59	36	50	49	47	52	68	58	69	73	0	50	66		0	30	1	800,000$
12	Zach Whitecloud (R)				X	100.00	51	32	94	82	66	58	33	49	48	47	50	66	50	54	63	0	50	63		0	25	1	750,000$
13	Josh Jacobs (R)				X	100.00	53	32	94	84	64	55	25	48	48	45	50	64	50	54	62	0	50	61		0	25	3	700,000$
14	Urho Vaakanainen (R)				X	100.00	54	31	95	86	58	56	25	48	47	45	50	63	50	45	58	0	50	61		0	22	4	875,000$
15	Guillaume Brisebois (R)				X	100.00	45	32	95	87	75	50	25	45	47	45	50	55	50	51	58	0	50	60		0	24	3	600,000$
16	Colton White (R)				X	100.00	48	32	94	86	58	55	25	48	47	45	50	59	50	51	59	0	50	60		0	24	3	700,000$
17	Andy Welinski (R)				X	100.00	45	33	95	83	77	50	25	45	48	45	50	55	50	63	64	0	50	60		0	28	4	600,000$
18	Jake Walman (R)				X	100.00	45	30	95	88	54	53	25	48	48	45	50	60	50	54	60	0	50	59		0	25	2	750,000$
Rayé
1	Max McCormick		X			100.00	52	34	95	84	58	54	27	46	45	40	51	58	51	66	66	0	50	59		0	29	1	800,000$
2	Jiri Sekac		X			100.00	46	30	95	85	62	51	26	45	41	40	50	55	50	66	65	0	50	58		0	29	2	675,000$
3	Alexander Khokhlachev (R)	X				100.00	45	30	95	85	55	50	25	45	40	40	50	55	50	63	63	0	50	57		0	28	3	675,000$
4	Scott Kosmachuk (R)			X		100.00	45	30	95	84	58	50	25	45	40	40	50	55	50	60	62	0	50	57		0	27	1	800,000$

	MOYENNE D’ÉQUIPE					100.00	54	33	94	84	64	56	34	48	46	45	52	60	52	63	66	0	49	62

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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	TA	SP
1	Jonas Hiller	100.00	61	26	69	73	63	61	61	61	61	65	55	99	73	0	46	60		0
2	Ben Scrivens	100.00	61	25	65	70	66	61	61	61	61	65	55	89	68	0	50	60		0
Rayé
1	Dustin Tokarski	100.00	62	25	69	75	62	62	63	62	62	65	55	77	62	0	50	60		0

	MOYENNE D’ÉQUIPE	100.00	61	25	68	73	64	61	62	61	61	65	55	88	68	0	49	60

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Guy Boucher	72	70	73	73	80	77	76	CAN	48	4	1,500,000$

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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	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Josh Jacobs	Jarrets Noirs (ANA)	D	44	2	9	11	-17	2	0	2	28	147	84	87	1.36%	21	647	14.72	1	0	1	3	1	0	0	0	0	6	0	0	0.00%	0	8	21	0	0	0.34	1	2	0	0	0	3	0	1
2	Colton White	Jarrets Noirs (ANA)	D	41	1	7	8	-2	2	0	1	12	71	39	31	1.41%	10	367	8.97	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	6	7	0	0	0.44	2	3	0	0	0	0	0	1
3	Guillaume Brisebois	Jarrets Noirs (ANA)	D	82	0	5	5	-2	5	5	0	9	40	25	26	0.00%	5	286	3.49	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	3	5	0	0	0.35	0	1	0	0	1	0	4	5
4	Urho Vaakanainen	Jarrets Noirs (ANA)	D	8	0	3	3	1	0	0	3	8	11	9	10	0.00%	1	62	7.87	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	4	0	0	0.95	0	0	0	0	0	1	0	0
5	Andy Welinski	Jarrets Noirs (ANA)	D	82	0	3	3	-2	0	0	0	5	40	16	23	0.00%	8	286	3.50	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	3	0	0	0.21	0	1	0	0	0	2	4	2
Statistiques d’équipe totales ou en moyenne				257	3	27	30	-22	9	5	6	62	309	173	177	0.97%	45	1651	6.43	1	0	1	3	1	0	0	0	0	6	0	0	0.00%	0	19	40	0	0	0.36	3	7	0	0	1	6	8	9

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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
Statistiques d’équipe totales ou en moyenne							0.000	0.00	0								0.000

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Salaire annuel 9	Salaire annuel 10	Link
Alexander Khokhlachev	Jarrets Noirs (ANA)	C	28	1993-01-01	Yes	181 Lbs	5 ft10	No	No	No	3	Pro & Farm	675,000$