LHSM - Hoodlums

Hooligans
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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	Anze Kopitar (A)	0	X				100.00	49	34	78	10	86	99	76	83	95	93	83	92	92	83	90	0	83	98	0
2	Dustin Brown	0		X	X		100.00	85	40	65	17	79	89	74	75	46	85	86	86	82	87	91	0	87	93	0
3	Rickard Rakell	0	X	X	X		100.00	67	35	79	35	62	89	75	93	62	86	91	71	77	51	45	0	87	91	0
4	Patrick Marleau	0	X	X	X		100.00	54	36	74	29	85	80	78	78	66	83	86	73	79	93	87	0	82	90	0
5	Alexander Wennberg	0	X		X		100.00	42	35	77	38	57	86	69	92	80	89	77	74	79	49	42	0	85	88	0
6	Josh Bailey	0		X	X		100.00	38	38	82	30	68	85	68	81	44	93	80	72	73	64	53	0	69	88	0
7	Derick Brassard	0	X				100.00	65	37	69	30	69	81	67	79	85	87	86	71	71	72	57	0	79	88	0
8	David Pastrnak	0		X	X		100.00	49	35	63	11	41	86	77	84	38	89	87	74	78	49	43	0	83	87	0
9	Patrick Eaves	0		X	X		100.00	70	40	70	29	67	77	28	79	33	81	89	65	73	61	50	0	70	83	0
10	Timo Meier	0			X		100.00	79	36	53	37	67	67	82	75	61	82	88	70	62	47	40	0	83	83	0
11	Alexander Kerfoot (R)	0	X	X			100.00	43	30	66	34	31	62	83	82	70	85	81	65	63	39	37	0	86	80	0
12	Frank Vatrano	0	X	X			100.00	73	37	53	31	49	54	70	73	41	79	87	62	69	42	37	0	77	77	0
13	Roman Josi	0				X	100.00	47	34	76	37	66	89	70	93	21	91	76	79	73	69	71	0	82	94	0
14	Cam Fowler	0				X	100.00	36	33	73	40	74	89	68	89	33	87	75	73	71	57	49	0	87	90	0
15	Jake Gardiner	0				X	100.00	47	34	75	41	67	80	84	90	22	93	75	67	53	56	47	0	80	90	0
16	Justin Schultz	0				X	100.00	42	33	74	40	61	72	69	90	22	92	76	70	66	66	76	0	78	89	0
17	Nick Leddy	0				X	100.00	52	33	83	43	65	81	82	94	23	91	76	43	72	62	57	0	60	89	0
18	Brandon Montour	0				X	100.00	54	37	62	44	49	72	84	87	25	85	75	76	73	40	36	0	62	85	0
Rayé
1	Justin Williams	0			X		100.00	45	39	59	25	65	77	55	78	61	87	83	67	76	90	88	0	85	86	0
2	Danton Heinen	0	X				100.00	44	29	73	33	42	68	89	75	40	87	81	71	69	40	36	0	66	81	0
3	Alec Martinez	0				X	100.00	64	33	77	40	74	81	68	86	31	85	75	72	53	75	76	0	71	90	0
4	Dennis Seidenberg	0				X	100.00	81	36	69	47	72	67	52	83	29	83	72	78	49	83	80	0	42	86	0
5	Radko Gudas	0				X	100.00	88	50	50	46	73	64	67	85	25	85	72	78	55	62	66	0	77	85	0
6	Niklas Kronwall	0				X	100.00	58	32	66	44	68	67	41	83	25	88	72	56	69	86	85	0	20	84	0

	MOYENNE D'ÉQUIPE					100.00	57	36	69	34	64	78	70	84	45	87	80	71	70	63	60	0	74	87

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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	Jonathan Quick	100.00	92	77	92	93	96	94	97	96	95	84	89	92	94	0	87	97	0
2	Craig Anderson	100.00	97	75	91	87	93	94	91	94	96	75	89	91	86	0	26	94	0
Rayé
1	Aaron Dell	100.00	91	92	75	89	95	92	92	90	94	75	75	52	77	0	80	91	0

	MOYENNE D'ÉQUIPE	100.00	93	81	86	90	95	93	93	93	95	78	84	78	86	0	64	94

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Luc Robitaille	70	70	70	70	70	70	70	CAN	55	2	450,000$

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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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	P/20	S1	S2	S3
1	Alexander Wennberg	Hoodlums	C/RW	13	1	8	9	1	2	8	13	34	9	22	2.94%	4	221	17.05	0	1	1	6	48	0	0	0	0	0	0	0	45.00%	180	7	2	0	0.81	0	0	0
2	Rickard Rakell	Hoodlums	C/LW/RW	13	5	4	9	-1	2	22	17	60	23	47	8.33%	4	239	18.43	0	2	2	8	40	0	0	0	0	0	2	0	37.50%	16	12	2	0	0.75	1	0	0
3	Timo Meier	Hoodlums	RW	13	5	4	9	2	12	45	10	41	10	17	12.20%	2	211	16.25	0	2	2	9	42	0	0	0	0	11	1	0	50.00%	16	4	1	0	0.85	0	2	1
4	Derick Brassard	Hoodlums	C	13	4	4	8	0	8	17	17	36	8	16	11.11%	4	208	16.04	1	0	1	6	8	0	1	1	1	29	1	0	52.56%	156	4	2	0	0.77	1	0	0
5	Roman Josi	Hoodlums	D	13	0	7	7	4	2	4	21	26	11	10	0.00%	21	312	24.06	0	1	1	6	44	0	0	0	2	29	0	0	0.00%	0	3	2	0	0.45	0	0	1
6	Patrick Marleau	Hoodlums	C/LW/RW	11	4	2	6	3	8	20	11	21	8	11	19.05%	6	165	15.05	1	0	1	7	34	0	0	0	0	6	1	0	40.00%	65	1	0	0	0.72	1	1	0
7	Josh Bailey	Hoodlums	LW/RW	13	3	3	6	1	0	3	7	23	3	18	13.04%	5	163	12.61	0	1	1	1	10	0	0	0	0	0	0	0	50.00%	10	0	0	1	0.73	0	1	0
8	Jake Gardiner	Hoodlums	D	12	2	4	6	4	0	6	13	22	7	5	9.09%	11	260	21.70	1	0	1	9	42	0	0	0	0	10	0	0	0.00%	0	3	1	0	0.46	0	0	0
9	Nick Leddy	Hoodlums	D	13	1	4	5	2	2	9	4	31	11	9	3.23%	2	291	22.41	1	1	2	17	51	0	0	0	0	18	0	0	0.00%	0	2	0	0	0.34	0	0	0
10	Dustin Brown	Hoodlums	LW/RW	13	1	3	4	1	14	33	22	16	4	20	6.25%	14	228	17.59	0	0	0	0	0	0	0	0	2	38	0	0	45.45%	11	1	4	0	0.35	0	1	1
11	Cam Fowler	Hoodlums	D	13	1	3	4	2	0	2	19	5	9	5	20.00%	17	280	21.61	0	0	0	0	10	1	0	1	1	54	0	0	0.00%	0	4	5	0	0.28	0	0	0
12	Alexander Kerfoot	Hoodlums	C/LW	13	1	3	4	-1	2	10	7	21	6	15	4.76%	0	140	10.81	0	0	0	0	0	0	0	0	0	0	0	1	46.43%	28	3	1	0	0.57	0	0	0
13	David Pastrnak	Hoodlums	LW/RW	13	2	2	4	0	4	18	14	11	3	15	18.18%	5	186	14.32	0	0	0	2	22	0	0	0	0	0	1	0	20.00%	5	3	2	0	0.43	0	0	1
14	Patrick Eaves	Hoodlums	LW/RW	9	3	0	3	-1	2	17	10	15	4	7	20.00%	4	142	15.78	1	0	1	6	33	0	0	0	0	2	1	0	40.00%	5	0	2	0	0.42	0	1	0
15	Radko Gudas	Hoodlums	D	7	1	2	3	-4	10	24	8	6	0	6	16.67%	16	153	21.91	0	0	0	0	0	0	0	0	1	26	0	0	0.00%	1	2	3	0	0.39	1	0	0
16	Anze Kopitar	Hoodlums	C	13	0	3	3	2	2	9	30	38	8	21	0.00%	12	266	20.51	0	0	0	6	40	0	0	0	5	40	0	0	56.40%	250	0	3	0	0.22	0	0	0
17	Justin Williams	Hoodlums	RW	10	0	2	2	0	2	6	15	16	3	6	0.00%	0	156	15.65	0	0	0	0	0	0	0	0	2	30	0	0	40.00%	5	1	0	0	0.26	0	0	0
18	Brandon Montour	Hoodlums	D	10	0	2	2	5	14	13	20	8	3	5	0.00%	16	216	21.66	0	0	0	0	20	0	0	0	1	16	0	0	0.00%	0	0	3	0	0.18	0	0	0
19	Frank Vatrano	Hoodlums	C/LW	7	1	0	1	-2	10	12	3	9	6	5	11.11%	1	99	14.17	0	0	0	0	13	0	0	0	0	0	0	0	50.00%	6	1	0	0	0.20	0	0	0
20	Justin Schultz	Hoodlums	D	6	0	1	1	-2	0	4	6	10	7	7	0.00%	2	115	19.22	0	1	1	5	24	0	0	0	0	0	0	0	0.00%	0	0	1	0	0.17	0	0	0
21	Alec Martinez	Hoodlums	D	1	0	0	0	-4	0	0	0	1	1	1	0.00%	1	19	19.60	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0
22	Danton Heinen	Hoodlums	C	2	0	0	0	-1	0	3	0	0	1	0	0.00%	1	22	11.48	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	4	0	0	0	0.00	0	0	0
23	Dennis Seidenberg	Hoodlums	D	3	0	0	0	-3	0	4	7	1	0	0	0.00%	2	50	16.76	0	0	0	0	2	0	0	0	0	3	0	0	0.00%	0	0	0	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				234	35	61	96	8	96	289	274	451	145	268	7.76%	150	4153	17.75	5	9	14	88	491	1	1	2	15	321	7	1	49.47%	758	51	34	1	0.46	4	6	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	SO	GA	SA	SAR	EG	ST	BG	S1	S2	S3
1	Jonathan Quick	Hoodlums	12	6	2	3	0.923	2.35	742	1	29	378	194	1	12	1	3	1	2
2	Craig Anderson	Hoodlums	2	1	1	0	0.937	2.29	105	1	4	64	38	0	1	7	1	0	0
Stats d'équipe Total ou en Moyenne			14	7	3	3	0.925	2.34	847	2	33	442	232	1	13	8	4	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	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Aaron Dell	Hoodlums	G	29	1989-05-04	No	200 Lbs	183 CM	No	No	No	1	Sans Restriction	Pro & Farm	625,000$	625,000$	178,571$	No	Lien / Lien NHL
Alec Martinez	Hoodlums	D	31	1987-07-26	No	208 Lbs	185 CM	No	No	No	1	Sans Restriction	Pro Only	4,800,000$	4,800,000$	1,371,429$	No	Lien / Lien NHL
Alexander Kerfoot	Hoodlums	C/LW	24	1994-08-11	Yes	175 Lbs	178 CM	No	No	No	2	Avec Restriction	Pro & Farm	1,137,500$	1,137,500$	325,000$	No	Lien
Alexander Wennberg	Hoodlums	C/RW	24	1994-09-22	No	196 Lbs	188 CM	No	No	No	1	Avec Restriction	Pro & Farm	1,400,000$	1,400,000$	400,000$	No	Lien / Lien NHL
Anze Kopitar	Hoodlums	C	31	1987-08-24	No	224 Lbs	191 CM	No	No	No	5	Sans Restriction	Pro Only	12,000,000$	12,000,000$	3,428,571$	No	Lien / Lien NHL
Brandon Montour	Hoodlums	D	24	1994-04-11	No	192 Lbs	183 CM	No	No	No	1	Avec Restriction	Pro & Farm	925,000$	925,000$	264,286$	No	Lien / Lien NHL
Cam Fowler	Hoodlums	D	26	1991-12-05	No	215 Lbs	185 CM	No	No	No	1	Avec Restriction	Pro & Farm	4,000,000$	4,000,000$	1,142,857$	No	Lien / Lien NHL
Craig Anderson	Hoodlums	G	37	1981-05-21	No	185 Lbs	188 CM	No	No	No	2	Sans Restriction	Pro Only	4,100,000$	4,100,000$	1,171,429$	No	Lien / Lien NHL
Danton Heinen	Hoodlums	C	23	1995-07-05	No	185 Lbs	185 CM	No	No	No	1	Avec Restriction	Pro & Farm	995,833$	995,833$	284,524$	No	Lien
David Pastrnak	Hoodlums	LW/RW	22	1996-05-25	No	188 Lbs	183 CM	No	No	No	1	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	264,286$	No	Lien / Lien NHL
Dennis Seidenberg	Hoodlums	D	37	1981-07-18	No	199 Lbs	183 CM	No	No	No	1	Sans Restriction	Pro Only	4,800,000$	4,800,000$	1,371,429$	No	Lien / Lien NHL
Derick Brassard	Hoodlums	C	31	1987-09-22	No	202 Lbs	185 CM	No	No	No	2	Sans Restriction	Pro Only	5,000,000$	5,000,000$	1,428,571$	No	Lien / Lien NHL
Dustin Brown	Hoodlums	LW/RW	33	1984-11-04	No	216 Lbs	183 CM	No	No	No	1	Sans Restriction	Pro Only	7,100,000$	7,100,000$	2,028,571$	No	Lien / Lien NHL
Frank Vatrano	Hoodlums	C/LW	24	1994-03-14	No	201 Lbs	175 CM	No	No	No	2	Avec Restriction	Pro & Farm	925,000$	925,000$	264,286$	No	Lien / Lien NHL
Jake Gardiner	Hoodlums	D	28	1990-07-04	No	200 Lbs	188 CM	No	No	No	2	Avec Restriction	Pro & Farm	4,050,000$	4,050,000$	1,157,143$	No	Lien / Lien NHL
Jonathan Quick	Hoodlums	G	32	1986-01-21	No	218 Lbs	185 CM	No	No	No	3	Sans Restriction	Pro Only	6,960,000$	6,960,000$	1,988,571$	No	Lien / Lien NHL
Josh Bailey	Hoodlums	LW/RW	28	1989-10-02	No	203 Lbs	185 CM	No	No	No	1	Avec Restriction	Pro & Farm	3,300,000$	3,300,000$	942,857$	No	Lien / Lien NHL
Justin Schultz	Hoodlums	D	28	1990-07-06	No	193 Lbs	188 CM	No	No	No	3	Avec Restriction	Pro & Farm	5,500,000$	5,500,000$	1,571,429$	No	Lien / Lien NHL
Justin Williams	Hoodlums	RW	36	1981-10-04	No	188 Lbs	185 CM	No	No	No	1	Sans Restriction	Pro Only	6,048,000$	6,048,000$	1,728,000$	No	Lien / Lien NHL
Nick Leddy	Hoodlums	D	27	1991-03-20	No	204 Lbs	183 CM	No	No	No	5	Avec Restriction	Pro & Farm	5,500,000$	5,500,000$	1,571,429$	No	Lien / Lien NHL
Niklas Kronwall	Hoodlums	D	37	1981-01-12	No	194 Lbs	183 CM	No	No	No	1	Sans Restriction	Pro & Farm	645,000$	645,000$	184,286$	No	Lien / Lien NHL
Patrick Eaves	Hoodlums	LW/RW	34	1984-05-01	No	202 Lbs	178 CM	No	No	No	1	Sans Restriction	Pro & Farm	2,073,600$	2,073,600$	592,457$	No	Lien / Lien NHL
Patrick Marleau	Hoodlums	C/LW/RW	39	1979-09-15	No	215 Lbs	188 CM	No	No	No	3	Sans Restriction	Pro Only	11,923,200$	11,923,200$	3,406,629$	No	Lien / Lien NHL
Radko Gudas	Hoodlums	D	28	1990-06-05	No	204 Lbs	183 CM	No	No	No	1	Avec Restriction	Pro & Farm	3,350,000$	3,350,000$	957,143$	No	Lien / Lien NHL
Rickard Rakell	Hoodlums	C/LW/RW	25	1993-05-05	No	198 Lbs	188 CM	No	No	No	5	Avec Restriction	Pro & Farm	3,800,000$	3,800,000$	1,085,714$	No	Lien / Lien NHL
Roman Josi	Hoodlums	D	28	1990-06-01	No	201 Lbs	185 CM	No	No	No	4	Avec Restriction	Pro & Farm	4,000,000$	4,000,000$	1,142,857$	No	Lien / Lien NHL
Timo Meier	Hoodlums	RW	21	1996-10-08	No	215 Lbs	183 CM	No	No	No	1	Contrat d'Entrée	Pro & Farm	1,644,167$	1,644,167$	469,762$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
27	29.15	201 Lbs	185 CM	1.96	3,982,493$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
107,527,300$	64,895,700$	49,683,200$	25,300,000$	21,300,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Patrick Marleau	Alexander Wennberg	Rickard Rakell	32	1	1	3
2	Josh Bailey	Anze Kopitar	Timo Meier	24	1	2	2
3	David Pastrnak	Derick Brassard	Dustin Brown	24	1	2	2
4	Frank Vatrano	Alexander Kerfoot	Patrick Eaves	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Roman Josi	Jake Gardiner	40	1	2	2
2	Cam Fowler	Justin Schultz	30	1	2	2
3	Nick Leddy	Brandon Montour	30	0	4	1
4	Cam Fowler	Brandon Montour	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Rickard Rakell	Anze Kopitar	Timo Meier	50	1	0	4
2	Patrick Marleau	Alexander Wennberg	Patrick Eaves	50	1	0	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nick Leddy	Jake Gardiner	60	0	0	5
2	Justin Schultz	Roman Josi	40	0	0	5

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Anze Kopitar	Dustin Brown	60	1	4	0
2	Derick Brassard	Patrick Marleau	40	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Roman Josi	Cam Fowler	60	0	5	0
2	Brandon Montour	Jake Gardiner	40	0	5	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Patrick Marleau	60	1	2	2	Jake Gardiner	Brandon Montour	60	1	2	2
2	Alexander Wennberg	40	1	2	2	Roman Josi	Cam Fowler	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Anze Kopitar	Rickard Rakell	60	1	2	2
2	Derick Brassard	David Pastrnak	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brandon Montour	Nick Leddy	60	1	2	2
2	Jake Gardiner	Cam Fowler	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
David Pastrnak	Alexander Wennberg	Rickard Rakell	Roman Josi	Jake Gardiner

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Dustin Brown	Anze Kopitar	Josh Bailey	Cam Fowler	Roman Josi

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Rickard Rakell, Patrick Eaves, David Pastrnak	Josh Bailey, David Pastrnak	Timo Meier

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brandon Montour, Nick Leddy, Jake Gardiner	Nick Leddy	Brandon Montour, Nick Leddy

Tirs de Pénalité
Anze Kopitar, Dustin Brown, Rickard Rakell, Derick Brassard, Alexander Wennberg

Gardien
#1 : Jonathan Quick, #2 : Craig Anderson

Lignes d'Attaque Perso. en Prol.
Rickard Rakell, Alexander Wennberg, Anze Kopitar, Timo Meier, Derick Brassard, Patrick Eaves, Patrick Eaves, David Pastrnak, Josh Bailey, Dustin Brown, Patrick Marleau

Lignes de Défense Perso. en Prol.
Roman Josi, Jake Gardiner, Nick Leddy, Cam Fowler, Brandon Montour

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	Beholders	6	4	2	0	0	0	0	0	17	14	3	3	1	2	0	0	0	0	0	10	11	-1	3	3	0	0	0	0	0	0	7	3	4	8	0.667	17	29	46	1	1	6	4	6	1	221	65	57	70	29	226	66	48	129	24	1	4.17%	24	3	87.50%	1	152	308	49.35%	157	299	52.51%	66	151	43.71%	160	105	153	55	101	51
2	Piranhas	7	3	4	0	0	0	0	0	18	20	-2	4	2	2	0	0	0	0	0	10	12	-2	3	1	2	0	0	0	0	0	8	8	0	6	0.429	18	32	50	0	1	5	7	6	0	230	85	76	63	6	217	84	48	160	31	4	12.90%	24	3	87.50%	0	152	308	49.35%	157	299	52.51%	66	151	43.71%	156	95	169	57	106	54
	Total	13	7	6	0	0	0	0	0	35	34	1	7	3	4	0	0	0	0	0	20	23	-3	6	4	2	0	0	0	0	0	15	11	4	14	0.538	35	61	96	1	2	11	11	12	1	451	150	133	133	35	443	150	96	289	55	5	9.09%	48	6	87.50%	1	152	308	49.35%	157	299	52.51%	66	151	43.71%	316	201	322	112	208	105
	_Since Last GM Reset	13	7	6	0	0	0	0	0	35	34	1	7	3	4	0	0	0	0	0	20	23	-3	6	4	2	0	0	0	0	0	15	11	4	14	0.538	35	61	96	1	2	11	11	12	1	451	150	133	133	35	443	150	96	289	55	5	9.09%	48	6	87.50%	1	152	308	49.35%	157	299	52.51%	66	151	43.71%	316	201	322	112	208	105
	_Vs Conference	6	4	2	0	0	0	0	0	17	14	3	3	1	2	0	0	0	0	0	10	11	-1	3	3	0	0	0	0	0	0	7	3	4	8	0.667	17	29	46	1	1	6	4	6	1	221	65	57	70	29	226	66	48	129	24	1	4.17%	24	3	87.50%	1	152	308	49.35%	157	299	52.51%	66	151	43.71%	160	105	153	55	101	51

			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
13	14	L1	35	61	96	451	443	150	96	289	1	2

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	7	6	0	0	0	0	35	34

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	20	23

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	4	2	0	0	0	0	15	11

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	3	0	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
55	5	9.09%	48	6	87.50%	1

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
150	133	133	35	11	11	12	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
152	308	49.35%	157	299	52.51%	66	151	43.71%

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
316	201	322	112	208	105

Derniers Match Joués 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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	Lien
1 - 2019-04-03	3	Beholders	3	Hoodlums	2	L	X	Sommaire du Match
2 - 2019-04-04	11	Beholders	2	Hoodlums	4	W		Sommaire du Match
3 - 2019-04-05	19	Hoodlums	3	Beholders	1	W		Sommaire du Match
4 - 2019-04-06	27	Hoodlums	3	Beholders	2	W	X	Sommaire du Match
5 - 2019-04-07	35	Beholders	6	Hoodlums	4	L		Sommaire du Match
6 - 2019-04-08	43	Hoodlums	1	Beholders	0	W		Sommaire du Match
8 - 2019-04-10	60	Piranhas	7	Hoodlums	3	L		Sommaire du Match
9 - 2019-04-11	64	Piranhas	1	Hoodlums	2	W		Sommaire du Match
10 - 2019-04-12	68	Hoodlums	2	Piranhas	0	W		Sommaire du Match
11 - 2019-04-13	72	Hoodlums	3	Piranhas	4	L	X	Sommaire du Match
12 - 2019-04-14	76	Piranhas	2	Hoodlums	4	W		Sommaire du Match
13 - 2019-04-15	80	Hoodlums	3	Piranhas	4	L	X	Sommaire du Match
14 - 2019-04-16	84	Piranhas	2	Hoodlums	1	L		Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	7000	6000	3000	5000	2000
Prix des Billets	100	60	35	25	200
Assistance	46,659	39,963	19,586	32,220	13,091
Attendance PCT	95.22%	95.15%	93.27%	92.06%	93.51%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
34	21646 - 94.11%	2,378,229$	16,647,606$	23000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	107,527,300$	29,441,666$	0$	1,620,000$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0$	27	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	6	0$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	86,820,049$	86,820,049$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Dustin Brown	AGE:33	PO:0	OV:93
Rickard Rakell	AGE:25	PO:0	OV:91
Patrick Marleau	AGE:39	PO:0	OV:90
Josh Bailey	AGE:28	PO:0	OV:88
David Pastrnak	AGE:22	PO:0	OV:87
Patrick Eaves	AGE:34	PO:0	OV:83
Adrian Kempe	AGE:22	PO:0	OV:81
*Alexander Kerfoot	AGE:24	PO:0	OV:80
*Alex Iafallo	AGE:24	PO:0	OV:80
Matt Moulson	AGE:34	PO:0	OV:78
Frank Vatrano	AGE:24	PO:0	OV:77
*Dryden Hunt	AGE:22	PO:0	OV:70

Anze Kopitar	AGE:31	PO:0	OV:98
Rickard Rakell	AGE:25	PO:0	OV:91
Patrick Marleau	AGE:39	PO:0	OV:90
Alexander Wennberg	AGE:24	PO:0	OV:88
Derick Brassard	AGE:31	PO:0	OV:88
Danton Heinen	AGE:23	PO:0	OV:81
Adrian Kempe	AGE:22	PO:0	OV:81
*Alexander Kerfoot	AGE:24	PO:0	OV:80
*Alex Iafallo	AGE:24	PO:0	OV:80
Tim Schaller	AGE:27	PO:0	OV:80
Ryan Carpenter	AGE:27	PO:0	OV:80
Mike Ribeiro	AGE:38	PO:0	OV:77
Frank Vatrano	AGE:24	PO:0	OV:77
Jonny Brodzinski	AGE:25	PO:0	OV:77
*Michael Amadio	AGE:22	PO:0	OV:73
*Zach Aston-Reese	AGE:24	PO:0	OV:73
John Quenneville	AGE:22	PO:0	OV:72
Frederick Gaudreau	AGE:25	PO:0	OV:69
Sean Malone	AGE:23	PO:0	OV:67
Griffen Molino	AGE:24	PO:0	OV:65
Justin Kloos	AGE:24	PO:0	OV:63
TJ Tynan	AGE:26	PO:0	OV:62

Dustin Brown	AGE:33	PO:0	OV:93
Rickard Rakell	AGE:25	PO:0	OV:91
Patrick Marleau	AGE:39	PO:0	OV:90
Alexander Wennberg	AGE:24	PO:0	OV:88
Josh Bailey	AGE:28	PO:0	OV:88
David Pastrnak	AGE:22	PO:0	OV:87
Justin Williams	AGE:36	PO:0	OV:86
Patrick Eaves	AGE:34	PO:0	OV:83
Timo Meier	AGE:21	PO:0	OV:83
Connor Brown	AGE:24	PO:0	OV:82
Matt Moulson	AGE:34	PO:0	OV:78
Drake Caggiula	AGE:24	PO:0	OV:77
Marcus Sorensen	AGE:26	PO:0	OV:74
Ales Hemsky	AGE:35	PO:0	OV:71

Défense #1

Défense #2

Gardien

Roman Josi	AGE:28	PO:0	OV:94
Alec Martinez	AGE:31	PO:0	OV:90
Cam Fowler	AGE:26	PO:0	OV:90
Jake Gardiner	AGE:28	PO:0	OV:90
Justin Schultz	AGE:28	PO:0	OV:89
Nick Leddy	AGE:27	PO:0	OV:89
Dennis Seidenberg	AGE:37	PO:0	OV:86
Radko Gudas	AGE:28	PO:0	OV:85
Brandon Montour	AGE:24	PO:0	OV:85

Erik Gustafsson	AGE:26	PO:0	OV:84
Niklas Kronwall	AGE:37	PO:0	OV:84
Tim Heed	AGE:27	PO:0	OV:78
Nick Schultz	AGE:36	PO:0	OV:78
Brett Kulak	AGE:24	PO:0	OV:76
Paul LaDue	AGE:26	PO:0	OV:76
*Christian Wolanin	AGE:23	PO:0	OV:73
Evan McEneny	AGE:24	PO:0	OV:72
*Sami Niku	AGE:21	PO:0	OV:71

Jonathan Quick	AGE:32	PO:0	OV:97
Craig Anderson	AGE:37	PO:0	OV:94
Aaron Dell	AGE:29	PO:0	OV:91
Jack Campbell	AGE:26	PO:0	OV:84
Ken Appleby	AGE:23	PO:0	OV:81

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total	Information	Lien
Akil Thomas	Hoodlums	2018	34	C-7.0A	Lien
Alex Barré-Boulet	Hoodlums	2018	69	C-4.0A	Lien
Alexander Volkov	Hoodlums	2018	47	LW-RW-7.0B	Lien
Allan Mcshane	Hoodlums	2018	52	C-6.0A	Lien
Barrett Hayton	Hoodlums	2018	12	C-9.0A	Lien
Cale Fleury	Hoodlums	2018	116	D	Lien
Calvin Petersen	Hoodlums	2013	137	G-5.5F	Lien
Conor Timmins	Hoodlums	2017	44	D-7.0B	Lien
David Quenneville	Hoodlums	2017	103	D-4.5C	Lien
Dmitry Sokolov	Hoodlums	2016	88	C-4.5C	Lien
Emil Pettersson	Hoodlums	2018	91	C	Lien
Filip Gustavsson	Hoodlums	2016	66	G-7.0C	Lien
Gabriel Vilardi	Hoodlums	2017	8	C-8.5B	Lien
Jack Studnicka	Hoodlums	2018	67	C	Lien
Jackson Houck	Hoodlums	2013	109	AD-6.0F	Lien
Jacob Moverare	Hoodlums	2016	111	D-6.0C	Lien
Jaedon Descheneau	Hoodlums	2014	114	AD-5.5E	Lien
Joel Farabee	Hoodlums	2018	11	LW-8.0A	Lien
Jordy Bellerive	Hoodlums	2018	117	C	Lien
Justin Kirkland	Hoodlums	2014	62	AG-6.5E	Lien
Kale Clague	Hoodlums	2016	28	D-7.0C	Lien
Kyle Wood	Hoodlums	2017	77	D-6.5E	Lien
Markus Phillips	Hoodlums	2017	121	D-6.0B	Lien
Mason Appleton	Hoodlums	2018	73	C	Lien
Miro Aaltonen	Hoodlums	2017	84	C-5.0F	Lien
Nicolas Aube-Kubel	Hoodlums	2014	66	AD-7.0E	Lien
Philippe Myers	Hoodlums	2016	86	D-4.0D	Lien
Rasmus Kupari	Hoodlums	2018	18	C-8.0A	Lien
Sean Durzi	Hoodlums	2018	103	D-7.0A	Lien
Trent Frederic	Hoodlums	2016	57	C-7.5C	Lien
Yakov Trenin	Hoodlums	2015	133	C-7.0D	Lien
Zack Macewen	Hoodlums	2017	102	C-4.0B	Lien

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2020		HOO	HOO		PIR HOO	TIT HOO	BEH HOO
2021	HOO	HOO			HOO	HOO
2022	HOO	HOO	HOO	HOO	HOO	HOO
2023	HOO	HOO	HOO	HOO	HOO	HOO	HOO

[2019-04-17 05:35:38] - Hoodlums was eliminated at round 2 of year 2018.
[2019-04-09 06:03:29] - Hooligans was eliminated at round 1 of year 2018.
[2019-02-25 19:35:12] - TRADE : From Space to Hoodlums : Nick Leddy (89).
[2019-02-25 19:35:12] - TRADE : From Hoodlums to Space : Oliver Bjorkstrand (82).
[2019-02-24 16:50:58] - TRADE : From Hoodlums to Expos : Spencer Foo (73).
[2019-02-24 16:50:58] - TRADE : From Expos to Hoodlums : Dennis Seidenberg (86).
[2019-02-19 21:07:41] - TRADE : From Titans to Hoodlums : Derick Brassard (88), Y:2020-RND:6-TIT.
[2019-02-19 21:07:41] - TRADE : From Hoodlums to Titans : Maxime Lajoie (P).
[2019-02-15 07:23:06] - TRADE : From Hoodlums to Space : Adam Henrique (87), Mark Jankowski (80).
[2019-02-15 07:23:06] - TRADE : From Space to Hoodlums : John Quenneville (72), Josh Bailey (88).
[2019-02-06 06:07:58] - TRADE : From Patriots to Hoodlums : Sean Durzi (P).
[2019-02-06 06:07:58] - TRADE : From Hoodlums to Patriots : Libor Hajek (P).
[2019-02-03 07:06:44] - TRADE : From Hoodlums to Goblins : Colton Sissons (83).
[2019-02-03 07:06:44] - TRADE : From Goblins to Hoodlums : Alex Iafallo (80).
[2019-02-03 06:47:09] - TRADE : From Goblins to Hoodlums : Akil Thomas (P).
[2019-02-03 06:47:09] - TRADE : From Hoodlums to Goblins : Taylor Raddysh (P), Y:2019-RND:6-Out, Y:2019-RND:7-PIO.
[2019-01-01 08:50:17] - TRADE : From Expos to Hoodlums : Y:2020-RND:7-BEH.
[2019-01-01 08:50:17] - TRADE : From Hoodlums to Expos : Tanner Pearson (86).
[2018-11-29 06:19:19] - TRADE : From Hoodlums to Expos : Y:2019-RND:3-LYC, Y:2019-RND:7-PAT.
[2018-11-29 06:19:19] - TRADE : From Expos to Hoodlums : Mason Appleton (P).
[2018-11-17 20:25:04] - TRADE : From Hoodlums to Expos : Filip Chlapik (71), Y:2022-RND:7-HOO.
[2018-11-17 20:25:04] - TRADE : From Expos to Hoodlums : Trent Frederic (P), Calvin Petersen (P), Y:2020-RND:5-PIR.
[2018-10-22 20:41:58] - TRADE : From Expos to Hoodlums : Maxime Lajoie (P).
[2018-10-22 20:41:58] - TRADE : From Hoodlums to Expos : Jacob Bernard-Docker (P), Y:2021-RND:4-HOO.
[2018-10-21 19:24:26] - TRADE : From Hoodlums to Outlaws : Y:2019-RND:7-HOO.
[2018-10-21 19:24:26] - TRADE : From Outlaws to Hoodlums : Patrick Eaves (83).
[2018-10-01 18:45:16] - Zach Trotman was released.
[2018-10-01 18:45:16] - Hoodlums paid 0 $ to release Zach Trotman.
[2018-10-01 18:44:28] - Phil Varone was released.
[2018-10-01 18:44:28] - Hoodlums paid 0 $ to release Phil Varone.
[2018-10-01 18:43:52] - Michael Hutchinson was released.
[2018-10-01 18:43:52] - Hoodlums paid 0 $ to release Michael Hutchinson.
[2018-10-01 18:43:07] - Linden Vey was released.
[2018-10-01 18:43:07] - Hoodlums paid 0 $ to release Linden Vey.
[2018-10-01 18:41:46] - Joel Hanley was released.
[2018-10-01 18:41:46] - Hoodlums paid 0 $ to release Joel Hanley.
[2018-10-01 18:39:55] - Buddy Robinson was released.
[2018-10-01 18:39:55] - Hoodlums paid 0 $ to release Buddy Robinson.
[2018-09-14 15:36:22] - TRADE : From Hoodlums to Expos : Connor Hobbs (P), Ryan Merkley (P).
[2018-09-14 15:36:22] - TRADE : From Expos to Hoodlums : Oliver Bjorkstrand (82).
[2018-09-06 21:44:05] - TRADE : From Hoodlums to Lycans : Tomas Hertl (88), Y:2019-RND:7-SPA.
[2018-09-06 21:44:05] - TRADE : From Lycans to Hoodlums : Alexander Kerfoot (80), Alexander Volkov (P).
[2018-08-19 23:17:59] - Dave Dziurzynski has been deleted from Hoodlums.
[2018-08-19 23:17:54] - Alex Grant has been deleted from Hoodlums.
[2018-08-19 23:17:50] - Andrew MacWilliam has been deleted from Hoodlums.
[2018-08-13 07:09:44] - Craig Anderson signed with Hoodlums for 4 100 000 $ for 2 year(s).
[2018-08-13 07:09:44] - Craig Anderson was added to Hoodlums.
[2018-08-11 07:59:06] - Justin Kloos signed with Hoodlums for 925 000 $ for 2 year(s).
[2018-08-11 07:59:06] - Justin Kloos was added to Hoodlums.
[2018-08-11 07:39:07] - Ken Appleby signed with Hoodlums for 635 000 $ for 2 year(s).
[2018-08-11 07:39:07] - Ken Appleby was added to Hoodlums.
[2018-08-11 07:15:54] - Spencer Foo signed with Hoodlums for 1 775 000 $ for 2 year(s).
[2018-08-11 07:15:54] - Spencer Foo was added to Hoodlums.
[2018-08-05 08:26:05] - Michael Raffl was released.
[2018-08-05 08:26:05] - Hoodlums paid 0 $ to release Michael Raffl.
[2018-08-04 07:27:40] - Michael Amadio was added to Hoodlums.

[2019-04-17 05:35:31] Successfully loaded Hoodlums lines done with Web Base Client and SQLite Database.
[2019-04-17 05:35:17] Successfully loaded Hoodlums lines done with Web Base Client and SQLite Database.
[2019-04-15 19:16:37] Successfully loaded Hoodlums lines done with STHS Client - 3.1.7.7
[2019-04-15 05:33:34] Successfully loaded Hoodlums lines done with STHS Client - 3.1.7.7
[2019-04-14 06:24:20] Niklas Kronwall from Hoodlums is back from Sports Hernia Injury.
[2019-04-12 05:59:57] Successfully loaded Hoodlums lines done with STHS Client - 3.1.7.7
[2019-04-11 05:57:06] Successfully loaded Hoodlums lines done with STHS Client - 3.1.7.7
[2019-04-10 06:03:20] Successfully loaded Hoodlums lines done with STHS Client - 3.1.7.7
[2019-04-09 06:03:20] Successfully loaded Hoodlums lines done with STHS Client - 3.1.7.7
[2019-04-07 06:25:15] Successfully loaded Hoodlums lines done with STHS Client - 3.1.7.7
[2019-04-06 07:04:07] Patrick Eaves from Hoodlums is back from Left Knee Injury.
[2019-04-06 07:03:13] Successfully loaded Hoodlums lines done with STHS Client - 3.1.7.7
[2019-04-05 06:04:40] Patrick Marleau from Hoodlums is back from Fractured Right Foot Injury.
[2019-04-05 06:04:40] Alec Martinez from Hoodlums is back from Back Injury.
[2019-04-05 06:04:27] Successfully loaded Hoodlums lines done with STHS Client - 3.1.7.7
[2019-04-05 06:04:27] Drake Caggiula of Hoodlums was sent down to farm.
[2019-04-05 06:04:27] Timo Meier of Hoodlums was sent to pro.
[2019-04-05 06:04:27] Adrian Kempe of Hoodlums was sent down to farm.
[2019-04-05 06:04:27] David Pastrnak of Hoodlums was sent to pro.
[2019-04-05 06:04:27] Brett Kulak of Hoodlums was sent down to farm.
[2019-04-05 06:04:27] Tim Heed of Hoodlums was sent down to farm.
[2019-04-03 19:45:12] Jake Gardiner from Hoodlums is back from Sprained Left Ankle Injury.
[2019-04-03 05:39:00] Justin Schultz from Hoodlums is back from Broken Bone (Left Arm) Injury.
[2019-04-03 05:38:53] Successfully loaded Hoodlums lines done with STHS Client - 3.1.7.7
[2019-03-31 06:47:40] Successfully loaded Hoodlums lines done with STHS Client - 3.1.7.7
[2019-03-31 06:47:40] Drake Caggiula of Hoodlums was sent to pro.
[2019-03-31 06:47:40] Timo Meier of Hoodlums was sent down to farm.
[2019-03-31 06:47:40] Adrian Kempe of Hoodlums was sent to pro.
[2019-03-31 06:47:40] David Pastrnak of Hoodlums was sent down to farm.
[2019-03-31 06:47:40] Brett Kulak of Hoodlums was sent to pro.
[2019-03-30 07:40:40] Game 797 - Niklas Kronwall from Hoodlums is injured (Sports Hernia) and is out for 2 months.
[2019-03-30 07:40:29] Successfully loaded Hoodlums lines done with Web Base Client and SQLite Database.
[2019-03-29 05:59:42] Radko Gudas from Hoodlums is back from Sore Right Knee Injury.
[2019-03-27 06:05:31] Successfully loaded Hoodlums lines done with STHS Client - 3.1.7.7
[2019-03-26 06:15:07] Rickard Rakell from Hoodlums has scored a Hat Trick!
[2019-03-26 06:15:01] Successfully loaded Hoodlums lines done with STHS Client - 3.1.7.7
[2019-03-26 06:15:01] Brandon Montour of Hoodlums was sent to pro.
[2019-03-24 07:00:53] Game 765 - Radko Gudas from Hoodlums is injured (Sore Right Knee) and is out for 1 week.
[2019-03-24 07:00:24] Successfully loaded Hoodlums lines done with Web Base Client and SQLite Database.
[2019-03-23 07:45:37] Game 755 - Justin Schultz from Hoodlums is injured (Broken Bone (Left Arm)) and is out for 2 weeks.
[2019-03-23 07:45:30] Successfully loaded Hoodlums lines done with Web Base Client and SQLite Database.
[2019-03-23 07:45:18] Auto Lines Partial Function has been run for Hoodlums.
[2019-03-23 07:45:18] Hoodlums lines errors : LastMinDef line Defense #3 is empty.
[2019-03-23 07:45:10] Successfully loaded Hoodlums lines done with Web Base Client and SQLite Database.
[2019-03-20 05:39:32] Successfully loaded Hoodlums lines done with Web Base Client and SQLite Database.
[2019-03-13 05:22:36] Successfully loaded Hoodlums lines done with STHS Client - 3.1.7.7
[2019-03-11 06:04:05] Game 705 - Alec Martinez from Hoodlums is injured (Back) and is out for 2 months.
[2019-03-10 08:57:13] Last 7 Days Pro Star : 1 - Rickard Rakell of Hoodlums (4-3-7) / 2 - Jordan Eberle of Hellpepitos (4-3-7) / 3 - John Tavares of Lycans (5-3-8)
[2019-03-09 06:35:58] Successfully loaded Hoodlums lines done with Web Base Client and SQLite Database.
[2019-03-06 06:19:59] Drake Caggiula from Hooligans has scored a Hat Trick!

Pas de Blessure ou de Suspension.

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
Saison Régulière
2016	84	31	36	0	9	5	2	1	212	208	4	42	17	19	0	4	1	1	0	109	99	10	42	14	17	0	5	4	1	1	103	109	-6	62	212	386	598	2	4	61	74	66	12	2450	778	819	830	35	2445	870	464	1687	210	36	17.14%	148	29	80.41%	3	828	1606	51.56%	824	1585	51.99%	507	985	51.47%	1867	1179	1875	684	1335	674
2017	84	31	39	0	4	6	2	2	218	260	-42	42	18	18	0	3	2	1	0	115	126	-11	42	13	21	0	1	4	1	2	103	134	-31	62	218	390	608	2	2	75	71	66	8	2436	852	740	827	32	2434	799	490	1795	304	62	20.39%	239	43	82.01%	2	952	1760	54.09%	853	1554	54.89%	608	1027	59.20%	1955	1248	1811	690	1310	660
2017	84	65	9	0	4	3	2	1	408	208	200	42	35	2	0	3	0	1	1	218	94	124	42	30	7	0	1	3	1	0	190	114	76	130	408	747	1155	1	6	142	132	128	9	2758	936	979	815	37	2465	878	603	1717	317	100	31.55%	270	51	81.11%	8	902	1753	51.45%	910	1723	52.81%	628	1187	52.91%	1888	1199	1886	695	1297	648
2018	82	45	24	0	7	3	1	2	238	191	47	41	28	9	0	2	1	0	1	129	86	43	41	17	15	0	5	2	1	1	109	105	4	90	238	427	665	3	3	79	68	83	10	2655	909	821	904	30	2589	896	634	1745	317	62	19.56%	293	51	82.59%	3	895	1802	49.67%	905	1763	51.33%	506	973	52.00%	1898	1211	1798	684	1251	627
Total Saison Régulière	334	172	108	0	24	17	7	6	1076	867	209	167	98	48	0	12	4	3	2	571	405	166	167	74	60	0	12	13	4	4	505	462	43	344	1076	1950	3026	8	15	357	345	343	39	10299	3475	3359	3376	134	9933	3443	2191	6944	1148	260	22.65%	950	174	81.68%	16	3577	6921	51.68%	3492	6625	52.71%	2249	4172	53.91%	7609	4838	7372	2755	5195	2611
Séries
2016	20	13	7	0	0	0	0	0	62	53	9	10	6	4	0	0	0	0	0	32	26	6	10	7	3	0	0	0	0	0	30	27	3	26	62	106	168	0	0	19	22	19	2	595	168	174	232	21	609	197	99	404	54	14	25.93%	32	7	78.13%	0	200	408	49.02%	225	407	55.28%	143	258	55.43%	432	262	467	169	335	169
2016	12	8	4	0	0	0	0	0	45	25	20	6	4	2	0	0	0	0	0	23	9	14	6	4	2	0	0	0	0	0	22	16	6	16	45	83	128	1	2	12	18	14	1	413	117	157	127	12	373	113	88	278	34	8	23.53%	24	3	87.50%	1	140	290	48.28%	128	257	49.81%	79	164	48.17%	298	196	256	99	199	99
2017	7	3	4	0	0	0	0	0	20	22	-2	3	2	1	0	0	0	0	0	9	7	2	4	1	3	0	0	0	0	0	11	15	-4	6	20	35	55	0	0	7	8	4	1	216	69	68	69	10	223	70	59	160	31	6	19.35%	25	4	84.00%	0	67	148	45.27%	75	147	51.02%	44	92	47.83%	162	97	171	64	118	58
2017	24	16	8	0	0	0	0	0	79	49	30	13	8	5	0	0	0	0	0	42	24	18	11	8	3	0	0	0	0	0	37	25	12	32	79	140	219	0	1	33	15	29	2	789	256	240	276	17	700	263	144	509	84	20	23.81%	72	8	88.89%	2	302	512	58.98%	261	491	53.16%	153	294	52.04%	563	362	526	196	369	184
2018	13	7	6	0	0	0	0	0	35	34	1	7	3	4	0	0	0	0	0	20	23	-3	6	4	2	0	0	0	0	0	15	11	4	14	35	61	96	1	2	11	11	12	1	451	150	133	133	35	443	150	96	289	55	5	9.09%	48	6	87.50%	1	152	308	49.35%	157	299	52.51%	66	151	43.71%	316	201	322	112	208	105
Total Séries	76	47	29	0	0	0	0	0	241	183	58	39	23	16	0	0	0	0	0	126	89	37	37	24	13	0	0	0	0	0	115	94	21	94	241	425	666	2	5	82	74	78	7	2464	760	772	837	95	2348	793	486	1640	258	53	20.54%	201	28	86.07%	4	861	1666	51.68%	846	1601	52.84%	485	959	50.57%	1772	1120	1745	642	1231	616