LHSM - Moose

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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	Ryan Getzlaf	0	X				100.00	69	44	55	34	89	98	50	98	82	99	80	77	85	80	89	0	64	98	0
2	T.J. Oshie	0	X		X		100.00	72	40	66	33	60	89	56	91	63	89	84	75	94	71	70	0	71	92	0
3	Jeff Carter	0	X		X		100.00	54	36	74	16	84	86	55	82	88	85	88	73	83	85	88	0	89	91	0
4	Mikko Koivu	0	X				100.00	42	34	58	27	84	88	65	73	94	87	80	89	94	83	90	0	80	91	0
5	Corey Perry (A)	0			X		100.00	53	44	55	32	85	84	74	82	37	88	83	65	91	82	89	0	93	90	0
6	Jack Eichel	0	X				100.00	43	24	67	10	64	93	73	83	76	92	88	72	75	45	50	0	87	90	0
7	Anders Lee	0	X	X			100.00	76	40	64	31	88	79	82	86	43	81	88	70	67	53	47	0	68	88	0
8	Boone Jenner	0		X	X		100.00	86	49	64	35	71	78	73	80	70	83	85	73	71	53	58	0	93	88	0
9	Matt Duchene	0	X		X		100.00	45	36	78	15	53	87	71	78	88	85	85	69	88	64	69	0	61	88	0
10	Anthony Mantha	0		X	X		100.00	55	47	56	25	87	80	78	75	46	84	85	74	68	49	50	0	93	87	0
11	Thomas Vanek	0		X	X		100.00	39	34	68	36	81	66	63	85	41	87	84	66	85	81	77	0	82	86	0
12	Lars Eller	0	X	X	X		100.00	62	35	63	36	73	71	76	75	82	86	82	69	74	77	71	0	93	86	0
13	Shea Weber (C)	0				X	100.00	77	44	68	34	91	90	54	90	28	83	77	80	65	81	88	0	83	94	0
14	Ryan McDonagh	0				X	100.00	58	34	70	45	77	85	65	90	22	90	73	85	53	62	64	0	77	92	0
15	Dion Phaneuf (A)	0				X	100.00	79	51	59	42	91	76	77	85	22	84	75	71	69	81	89	0	88	91	0
16	Brent Seabrook	0				X	100.00	66	40	69	41	87	74	76	86	31	86	73	72	72	88	92	0	93	91	0
17	Dmitry Orlov	0				X	100.00	66	34	72	46	69	80	72	86	21	86	76	79	67	60	60	0	79	89	0
18	Tyler Myers	0				X	100.00	51	40	66	44	92	76	52	88	26	90	74	78	69	61	54	0	80	89	0
Rayé
1	Tyler Bertuzzi	0		X			100.00	63	54	49	34	55	65	79	76	34	86	81	72	63	45	44	0	83	82	0
2	Torrey Mitchell	0	X				100.00	58	41	65	50	54	54	54	63	77	79	79	65	69	64	51	0	26	75	0
3	Luke Schenn	0				X	100.00	89	47	60	51	89	61	78	79	26	79	70	74	49	65	65	0	26	83	0
4	Kevin Connauton	0				X	100.00	74	47	67	44	74	54	75	85	27	81	75	75	66	52	46	0	25	82	0
5	Nathan Beaulieu	0				X	100.00	49	49	64	44	68	62	66	83	26	83	72	62	58	55	49	0	54	81	0

	MOYENNE D'ÉQUIPE					100.00	62	41	64	35	77	77	68	83	50	86	80	73	73	67	67	0	73	88

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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	Marc-Andre Fleury	99.00	97	77	88	86	97	93	95	98	96	74	91	99	99	0	93	96	0
2	Kari Lehtonen	100.00	91	73	84	92	92	93	92	92	94	94	89	92	88	0	93	95	0
Rayé
1	Casey DeSmith	100.00	83	91	69	76	86	85	91	86	88	64	70	34	47	0	26	82	0

	MOYENNE D'ÉQUIPE	99.67	90	80	80	85	92	90	93	92	93	77	83	75	78	0	71	91

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Sullivan	70	70	70	70	70	70	70	USA	50	3	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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	PSS	FW	FL	FT	S1	S2	S3
1	T.J. Oshie	Moose	C/RW	9	2	9	11	4	10	0	17	18	32	15	22	6.25%	5	165	18.36	0	5	5	5	31	0	14	0	0	22.22%	9	7	0	0	1.33	0	0	0	0	0	1	1
2	Anders Lee	Moose	C/LW	9	7	3	10	4	14	0	19	3	30	10	15	23.33%	3	152	16.99	3	1	4	8	30	0	3	2	1	57.14%	7	2	2	1	1.31	0	0	0	0	1	2	0
3	Ryan McDonagh	Moose	D	9	1	7	8	0	6	0	8	22	12	8	8	8.33%	18	213	23.69	1	4	5	6	23	0	37	0	0	0.00%	0	1	1	0	0.75	0	0	0	0	1	0	1
4	Boone Jenner	Moose	LW/RW	9	3	4	7	3	8	0	23	10	19	9	14	15.79%	2	152	16.89	0	1	1	2	25	0	0	1	0	55.56%	18	4	0	1	0.92	0	0	0	0	1	0	0
5	Jack Eichel	Moose	C	9	2	4	6	2	4	0	4	11	16	6	17	12.50%	4	147	16.39	1	1	2	4	29	0	1	0	1	48.70%	115	1	2	0	0.81	0	0	0	0	0	0	0
6	Thomas Vanek	Moose	LW/RW	9	3	3	6	2	2	0	3	5	34	15	20	8.82%	5	113	12.56	1	0	1	1	2	0	0	2	0	12.50%	8	5	1	0	1.06	0	0	0	0	1	1	0
7	Corey Perry	Moose	RW	9	3	1	4	2	2	0	11	3	23	7	12	13.04%	2	130	14.51	1	0	1	3	12	0	0	1	0	0.00%	4	1	0	0	0.61	0	0	0	0	1	0	1
8	Jeff Carter	Moose	C/RW	9	2	2	4	3	2	0	6	3	16	6	10	12.50%	5	183	20.37	0	1	1	1	9	1	60	1	0	63.64%	11	3	2	0	0.44	0	0	0	0	0	0	1
9	Mikko Koivu	Moose	C	9	0	4	4	3	4	0	6	20	17	7	9	0.00%	8	163	18.16	0	0	0	0	0	3	59	0	0	59.76%	164	1	2	0	0.49	0	0	0	0	0	0	0
10	Lars Eller	Moose	C/LW/RW	9	2	2	4	2	0	0	5	8	20	6	5	10.00%	2	108	12.10	0	0	0	0	0	2	16	0	0	49.06%	53	1	2	0	0.73	0	0	0	0	0	1	0
11	Anthony Mantha	Moose	LW/RW	9	1	2	3	3	4	0	10	6	12	1	6	8.33%	1	108	12.08	0	0	0	0	0	1	8	0	0	40.00%	5	1	0	0	0.55	0	0	0	0	0	0	0
12	Ryan Getzlaf	Moose	C	3	0	3	3	1	2	0	5	1	9	4	5	0.00%	2	41	13.92	0	1	1	3	10	0	0	0	0	48.65%	37	1	0	0	1.44	0	0	0	0	0	1	0
13	Matt Duchene	Moose	C/RW	9	1	2	3	2	0	0	3	4	8	7	4	12.50%	3	140	15.65	1	1	2	3	30	0	0	0	0	42.99%	107	1	1	0	0.43	0	0	0	0	0	0	0
14	Dion Phaneuf	Moose	D	9	0	2	2	5	15	5	19	9	7	2	3	0.00%	10	160	17.83	0	0	0	0	1	2	23	0	0	0.00%	0	2	1	0	0.25	0	0	1	0	0	0	0
15	Shea Weber	Moose	D	9	1	1	2	3	6	0	20	17	10	3	7	10.00%	11	235	26.18	0	0	0	5	37	0	27	1	0	0.00%	0	4	5	0	0.17	0	0	0	0	0	0	1
16	Dmitry Orlov	Moose	D	9	0	2	2	4	2	0	10	21	7	6	6	0.00%	14	197	21.90	0	0	0	0	0	2	52	0	0	0.00%	0	1	3	0	0.20	0	0	0	0	0	0	0
17	Tyler Myers	Moose	D	9	0	2	2	7	6	0	3	15	11	10	4	0.00%	10	198	22.10	0	0	0	4	35	0	19	0	0	0.00%	0	2	3	0	0.20	0	0	0	0	0	0	0
18	Tyler Bertuzzi	Moose	LW	6	1	0	1	2	28	10	8	4	8	4	2	12.50%	2	57	9.63	0	0	0	0	0	0	0	0	1	50.00%	2	1	0	0	0.35	0	1	0	1	0	1	0
19	Brent Seabrook	Moose	D	9	0	1	1	3	4	0	11	9	6	2	8	0.00%	7	167	18.65	0	1	1	2	23	0	4	0	0	0.00%	0	2	1	0	0.12	1	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				162	29	54	83	55	119	15	191	189	297	128	177	9.76%	114	2839	17.53	8	16	24	47	303	11	328	8	3	50.19%	540	41	26	2	0.58	1	1	1	1	5	7	5

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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	PCT	GAA	MP	GA	SA	SAR	ST	BG	S1	S2	S3
1	Marc-Andre Fleury	Moose	8	7	1	0.940	1.92	499	16	268	155	8	1	2	1	2
2	Kari Lehtonen	Moose	1	1	0	0.981	0.70	86	1	54	32	1	8	1	0	0
Stats d'équipe Total ou en Moyenne			9	8	1	0.947	1.74	585	17	322	187	9	9	3	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
Anders Lee	Moose	C/LW	28	1990-07-03	No	231 Lbs	191 CM	No	No	No	2	Avec Restriction	Pro & Farm	3,750,000$	3,750,000$	1,071,429$	No	Lien / Lien NHL
Anthony Mantha	Moose	LW/RW	24	1994-09-16	No	225 Lbs	196 CM	No	No	No	2	Avec Restriction	Pro & Farm	863,333$	863,333$	246,667$	No	Lien / Lien NHL
Boone Jenner	Moose	LW/RW	25	1993-06-15	No	206 Lbs	188 CM	No	No	No	3	Avec Restriction	Pro & Farm	2,900,000$	2,900,000$	828,571$	No	Lien / Lien NHL
Brent Seabrook	Moose	D	33	1985-04-20	No	220 Lbs	191 CM	No	No	No	2	Sans Restriction	Pro Only	6,960,000$	6,960,000$	1,988,571$	No	Lien / Lien NHL
Casey DeSmith	Moose	G	27	1991-08-13	No	181 Lbs	183 CM	No	No	No	2	Avec Restriction	Pro & Farm	675,000$	675,000$	192,857$	No	Lien
Corey Perry	Moose	RW	33	1985-05-16	No	213 Lbs	191 CM	No	No	No	2	Sans Restriction	Pro Only	10,350,000$	10,350,000$	2,957,143$	No	Lien / Lien NHL
Dion Phaneuf	Moose	D	33	1985-04-10	No	225 Lbs	193 CM	No	No	No	4	Sans Restriction	Pro Only	8,400,000$	8,400,000$	2,400,000$	No	Lien / Lien NHL
Dmitry Orlov	Moose	D	27	1991-07-23	No	212 Lbs	180 CM	No	No	No	1	Avec Restriction	Pro & Farm	2,000,000$	2,000,000$	571,429$	No	Lien / Lien NHL
Jack Eichel	Moose	C	21	1996-10-28	No	206 Lbs	188 CM	No	No	No	3	Contrat d'Entrée	Pro & Farm	3,775,000$	3,775,000$	1,078,571$	No	Lien / Lien NHL
Jeff Carter	Moose	C/RW	33	1985-01-01	No	217 Lbs	191 CM	No	No	No	2	Sans Restriction	Pro Only	6,327,272$	6,327,272$	1,807,792$	No	Lien / Lien NHL
Kari Lehtonen	Moose	G	34	1983-11-16	No	209 Lbs	193 CM	No	No	No	1	Sans Restriction	Pro Only	1,800,000$	1,800,000$	514,286$	No	Lien / Lien NHL
Kevin Connauton	Moose	D	28	1990-02-23	No	205 Lbs	188 CM	No	No	No	2	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$	285,714$	No	Lien / Lien NHL
Lars Eller	Moose	C/LW/RW	29	1989-05-08	No	207 Lbs	188 CM	No	No	No	1	Sans Restriction	Pro Only	3,500,000$	3,500,000$	1,000,000$	No	Lien / Lien NHL
Luke Schenn	Moose	D	28	1989-11-02	No	229 Lbs	188 CM	No	No	No	1	Avec Restriction	Pro & Farm	450,000$	450,000$	128,571$	No	Lien / Lien NHL
Marc-Andre Fleury	Moose	G	33	1984-11-28	No	180 Lbs	188 CM	No	No	No	2	Sans Restriction	Pro Only	6,900,000$	6,900,000$	1,971,429$	No	Lien / Lien NHL
Matt Duchene	Moose	C/RW	27	1991-01-16	No	195 Lbs	180 CM	No	No	No	4	Avec Restriction	Pro & Farm	6,000,000$	6,000,000$	1,714,286$	No	Lien / Lien NHL
Mikko Koivu	Moose	C	35	1983-03-12	No	215 Lbs	191 CM	No	No	No	1	Sans Restriction	Pro Only	8,100,000$	8,100,000$	2,314,286$	No	Lien / Lien NHL
Nathan Beaulieu	Moose	D	25	1992-12-05	No	200 Lbs	188 CM	No	No	No	1	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$	285,714$	No	Lien / Lien NHL
Ryan Getzlaf	Moose	C	33	1985-05-10	No	223 Lbs	193 CM	No	No	No	4	Sans Restriction	Pro Only	9,900,000$	9,900,000$	2,828,571$	No	Lien / Lien NHL
Ryan McDonagh	Moose	D	29	1989-06-13	No	215 Lbs	185 CM	No	No	No	4	Sans Restriction	Pro Only	5,640,000$	5,640,000$	1,611,429$	No	Lien / Lien NHL
Shea Weber	Moose	D	33	1985-08-14	No	230 Lbs	193 CM	No	No	No	2	Sans Restriction	Pro Only	7,847,143$	7,847,143$	2,242,041$	No	Lien / Lien NHL
T.J. Oshie	Moose	C/RW	31	1986-12-23	No	195 Lbs	180 CM	No	No	No	1	Sans Restriction	Pro Only	4,175,000$	4,175,000$	1,192,857$	No	Lien / Lien NHL
Thomas Vanek	Moose	LW/RW	34	1984-01-19	No	214 Lbs	188 CM	No	No	No	1	Sans Restriction	Pro Only	1,500,000$	1,500,000$	428,571$	No	Lien
Torrey Mitchell	Moose	C	33	1985-01-30	No	186 Lbs	180 CM	No	No	No	1	Sans Restriction	Pro Only	750,000$	750,000$	214,286$	No	Lien / Lien NHL
Tyler Bertuzzi	Moose	LW	23	1995-02-24	No	190 Lbs	183 CM	No	No	No	1	Avec Restriction	Pro & Farm	910,833$	910,833$	260,238$	No	Lien
Tyler Myers	Moose	D	28	1990-02-01	No	229 Lbs	203 CM	No	No	No	2	Avec Restriction	Pro & Farm	5,500,000$	5,500,000$	1,571,429$	No	Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	29.50	210 Lbs	188 CM	2.00	4,268,215$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
110,973,581$	86,787,748$	36,615,000$	29,940,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Boone Jenner	Jack Eichel	T.J. Oshie	29	0	2	3
2	Anders Lee	Ryan Getzlaf	Corey Perry	27	0	2	3
3	Thomas Vanek	Matt Duchene	Jeff Carter	27	0	2	3
4	Lars Eller	Mikko Koivu	Anthony Mantha	17	0	3	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Shea Weber	Ryan McDonagh	36	0	3	2
2	Brent Seabrook	Tyler Myers	31	0	3	2
3	Dmitry Orlov	Dion Phaneuf	27	0	3	2
4	Shea Weber	Dmitry Orlov	6	0	3	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Anders Lee	Jack Eichel	Matt Duchene	60	0	1	4
2	Boone Jenner	Ryan Getzlaf	T.J. Oshie	40	0	1	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Myers	Shea Weber	55	0	2	3
2	Brent Seabrook	Ryan McDonagh	45	0	2	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Mikko Koivu	Jeff Carter	60	0	3	2
2	Lars Eller	T.J. Oshie	40	0	3	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dmitry Orlov	Ryan McDonagh	60	0	4	1
2	Shea Weber	Dion Phaneuf	40	0	4	1

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Mikko Koivu	60	0	4	1	Dmitry Orlov	Shea Weber	60	1	4	0
2	Lars Eller	40	0	4	1	Ryan McDonagh	Dion Phaneuf	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Mikko Koivu	Anthony Mantha	60	0	2	3
2	Jeff Carter	Thomas Vanek	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan McDonagh	Dmitry Orlov	60	1	2	2
2	Dion Phaneuf	Tyler Myers	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Anders Lee	Jack Eichel	Ryan Getzlaf	Shea Weber	Ryan McDonagh

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Boone Jenner	Mikko Koivu	Jeff Carter	Ryan McDonagh	Shea Weber

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Boone Jenner, Anthony Mantha, Jeff Carter	Jeff Carter, Thomas Vanek	Anthony Mantha

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ryan McDonagh, Brent Seabrook, Shea Weber	Shea Weber	Tyler Myers, Brent Seabrook

Tirs de Pénalité
Jack Eichel, T.J. Oshie, Matt Duchene, Corey Perry, Jeff Carter

Gardien
#1 : Marc-Andre Fleury, #2 : Kari Lehtonen

Lignes d'Attaque Perso. en Prol.
T.J. Oshie, Jeff Carter, Jack Eichel, Corey Perry, Ryan Getzlaf, Boone Jenner, Boone Jenner, Anders Lee, Mikko Koivu, Thomas Vanek, Lars Eller

Lignes de Défense Perso. en Prol.
Shea Weber, Ryan McDonagh, Dion Phaneuf, Tyler Myers, Brent Seabrook

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	Goblins	4	4	0	0	0	0	0	0	17	9	8	2	2	0	0	0	0	0	0	11	5	6	2	2	0	0	0	0	0	0	6	4	2	8	1.000	17	32	49	0	0	6	9	2	0	128	46	56	26	0	117	42	38	80	14	6	42.86%	20	3	85.00%	0	102	208	49.04%	119	222	53.60%	50	109	45.87%	93	58	85	33	61	30
2	Outlaws	4	4	0	0	0	0	0	0	11	6	5	2	2	0	0	0	0	0	0	7	4	3	2	2	0	0	0	0	0	0	4	2	2	8	1.000	11	20	31	0	0	3	3	3	2	138	40	30	35	33	165	63	69	91	18	2	11.11%	22	3	86.36%	0	102	208	49.04%	119	222	53.60%	50	109	45.87%	99	61	116	38	68	34
	Total	9	8	1	0	0	0	0	0	29	17	12	4	4	0	0	0	0	0	0	18	9	9	5	4	1	0	0	0	0	0	11	8	3	16	0.889	29	54	83	0	0	9	13	5	2	297	92	101	71	33	322	114	119	191	37	8	21.62%	48	7	85.42%	0	102	208	49.04%	119	222	53.60%	50	109	45.87%	213	132	228	80	143	71
4	Warpath	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	0	1	0	0	31	6	15	10	0	40	9	12	20	5	0	0.00%	6	1	83.33%	0	102	208	49.04%	119	222	53.60%	50	109	45.87%	20	12	26	8	13	6
	_Since Last GM Reset	9	8	1	0	0	0	0	0	29	17	12	4	4	0	0	0	0	0	0	18	9	9	5	4	1	0	0	0	0	0	11	8	3	16	0.889	29	54	83	0	0	9	13	5	2	297	92	101	71	33	322	114	119	191	37	8	21.62%	48	7	85.42%	0	102	208	49.04%	119	222	53.60%	50	109	45.87%	213	132	228	80	143	71
	_Vs Conference	4	4	0	0	0	0	0	0	17	9	8	2	2	0	0	0	0	0	0	11	5	6	2	2	0	0	0	0	0	0	6	4	2	8	1.000	17	32	49	0	0	6	9	2	0	128	46	56	26	0	117	42	38	80	14	6	42.86%	20	3	85.00%	0	102	208	49.04%	119	222	53.60%	50	109	45.87%	93	58	85	33	61	30

			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
9	16	L1	29	54	83	297	322	114	119	191	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	8	1	0	0	0	0	29	17

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	4	0	0	0	0	0	18	9

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	4	1	0	0	0	0	11	8

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
8	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	8	21.62%	48	7	85.42%	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
92	101	71	33	9	13	5	2

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
102	208	49.04%	119	222	53.60%	50	109	45.87%

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
213	132	228	80	143	71

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	8	Goblins	1	Moose	4	W		Sommaire du Match
2 - 2019-04-04	16	Goblins	4	Moose	7	W		Sommaire du Match
3 - 2019-04-05	24	Moose	3	Goblins	2	W		Sommaire du Match
4 - 2019-04-06	32	Moose	3	Goblins	2	W		Sommaire du Match
8 - 2019-04-10	59	Moose	2	Outlaws	1	W		Sommaire du Match
9 - 2019-04-11	63	Moose	2	Outlaws	1	W	X	Sommaire du Match
10 - 2019-04-12	67	Outlaws	3	Moose	5	W		Sommaire du Match
11 - 2019-04-13	71	Outlaws	1	Moose	2	W	X	Sommaire du Match
15 - 2019-04-17	85	Moose	1	Warpath	2	L		Sommaire du Match
16 - 2019-04-18	87	Moose	-	Warpath	-
17 - 2019-04-19	89	Warpath	-	Moose	-
18 - 2019-04-20	91	Warpath	-	Moose	-
19 - 2019-04-21	93	Moose	-	Warpath	-
20 - 2019-04-22	95	Warpath	-	Moose	-
21 - 2019-04-23	97	Moose	-	Warpath	-

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	26,258	22,716	11,180	18,665	7,773
Attendance PCT	93.78%	94.65%	93.17%	93.33%	97.16%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
37	21648 - 94.12%	2,384,479$	9,537,915$	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$	110,973,581$	29,561,477$	0$	-1,980,000$

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$	26	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$	8,650,115$	8,650,115$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Anders Lee	AGE:28	PO:0	OV:88
Boone Jenner	AGE:25	PO:0	OV:88
Anthony Mantha	AGE:24	PO:0	OV:87
Thomas Vanek	AGE:34	PO:0	OV:86
Lars Eller	AGE:29	PO:0	OV:86
Tyler Bertuzzi	AGE:23	PO:0	OV:82
Beau Bennett	AGE:26	PO:0	OV:77
*Brendan Lemieux	AGE:22	PO:0	OV:69
Matt Puempel	AGE:25	PO:0	OV:69
*Morgan Klimchuk	AGE:23	PO:0	OV:63

Ryan Getzlaf	AGE:33	PO:0	OV:98
T.J. Oshie	AGE:31	PO:0	OV:92
Jeff Carter	AGE:33	PO:0	OV:91
Mikko Koivu	AGE:35	PO:0	OV:91
Jack Eichel	AGE:21	PO:0	OV:90
Anders Lee	AGE:28	PO:0	OV:88
Matt Duchene	AGE:27	PO:0	OV:88
Lars Eller	AGE:29	PO:0	OV:86
Torrey Mitchell	AGE:33	PO:0	OV:75
Lukas Sedlak	AGE:25	PO:0	OV:74

T.J. Oshie	AGE:31	PO:0	OV:92
Jeff Carter	AGE:33	PO:0	OV:91
Corey Perry	AGE:33	PO:0	OV:90
Boone Jenner	AGE:25	PO:0	OV:88
Matt Duchene	AGE:27	PO:0	OV:88
Anthony Mantha	AGE:24	PO:0	OV:87
Thomas Vanek	AGE:34	PO:0	OV:86
Lars Eller	AGE:29	PO:0	OV:86
Beau Bennett	AGE:26	PO:0	OV:77
Martin Frk	AGE:24	PO:0	OV:77
Nick Lappin	AGE:25	PO:0	OV:73

Défense #1

Défense #2

Gardien

Shea Weber	AGE:33	PO:0	OV:94
Ryan McDonagh	AGE:29	PO:0	OV:92
Dion Phaneuf	AGE:33	PO:0	OV:91
Brent Seabrook	AGE:33	PO:0	OV:91
Dmitry Orlov	AGE:27	PO:0	OV:89
Tyler Myers	AGE:28	PO:0	OV:89

Luke Schenn	AGE:28	PO:0	OV:83
Kevin Connauton	AGE:28	PO:0	OV:82
Nathan Beaulieu	AGE:25	PO:0	OV:81
Brett Lernout	AGE:23	PO:0	OV:77
Jordan Schmaltz	AGE:24	PO:0	OV:71
Andreas Englund	AGE:22	PO:0	OV:70

Marc-Andre Fleury	AGE:33	PO:0	OV:96
Kari Lehtonen	AGE:34	PO:0	OV:95
Charlie Lindgren	AGE:24	PO:0	OV:82
Casey DeSmith	AGE:27	PO:0	OV:82

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
Antoine Waked	Moose	2017	107	AD-4.0B	Lien
Connor Chatham	Moose	2014	79	AD-6.5E	Lien
Eric Cornel	Moose	2014	41	C-7.0E	Lien
Francis Beauvillier	Moose	2012	94	AG-5.0F	Lien
Henrik Bjorklund	Moose	2009	112	AD-6.0F	Lien
Jansen Harkins	Moose	2015	22	C-7.0D	Lien
Jeremy Roy	Moose	2015	19	D-7.0D	Lien
Julien Gauthier	Moose	2016	14	AD-7.5C	Lien
Martin Reway	Moose	2014	105	AG-6.0F	Lien
Maxim Letunov	Moose	2015	127	C-7.0E	Lien
Nicolas Hague	Moose	2017	33	D-7.0B	Lien
Sam Carrick	Moose
Scott Kosmachuk	Moose
Vadim Shipachyov	Moose				Lien

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2019			MOO				PIR
2020				TIT	MOO	MOO	MOO
2021		MOO		MOO	MOO	MOO	MOO
2022	MOO	MOO		MOO	MOO	MOO	MOO
2023	MOO	MOO	MOO	MOO	MOO	MOO	MOO

[2019-04-09 06:03:29] - Caribou was eliminated at round 1 of year 2018.
[2019-02-25 06:05:36] - TRADE : From Titans to Moose : Mikko Koivu (91), Nathan Beaulieu (81), T.J. Oshie (92), Y:2019-RND:3-MOO.
[2019-02-25 06:05:36] - TRADE : From Moose to Titans : Jesse Puljujarvi (80), Ryan Kesler (90), Sonny Milano (75), Jake Oettinger (P).
[2019-01-06 20:47:00] - TRADE : From Titans to Moose : Ryan Getzlaf (98), Y:2020-RND:4-TIT.
[2019-01-06 20:47:00] - TRADE : From Moose to Titans : Alex Galchenyuk (83), Jared Mcisaac (P), Mackenzie Blackwood (P), Y:2020-RND:2-MOO.
[2018-12-27 19:38:57] - TRADE : From Space to Moose : Anders Lee (88), Nicolas Hague (P).
[2018-12-27 19:38:57] - TRADE : From Moose to Space : Noah Juulsen (79), Y:2019-RND:2-TIT.
[2018-12-14 16:30:47] - TRADE : From Space to Moose : Matt Duchene (88).
[2018-12-14 16:30:47] - TRADE : From Moose to Space : Brandon Saad (86), John Quenneville (72), Y:2019-RND:2-BEH.
[2018-12-06 19:41:19] - TRADE : From Goblins to Moose : Brandon Saad (86), Jared Mcisaac (P).
[2018-12-06 19:41:19] - TRADE : From Moose to Goblins : Tom Wilson (88), Tyler Benson (P).
[2018-12-06 19:41:12] - TRADE : From Beholders to Moose : Ryan McDonagh (92), Y:2019-RND:2-BEH.
[2018-12-06 19:41:12] - TRADE : From Moose to Beholders : Brendan Gallagher (84), Austin Wagner (P), Y:2019-RND:5-TIT, Y:2020-RND:4-MOO.
[2018-12-02 15:40:57] - TRADE : From Moose to Expos : Milan Lucic (88), Y:2021-RND:3-MOO.
[2018-12-02 15:40:57] - TRADE : From Expos to Moose : Casey DeSmith (82).
[2018-11-29 06:04:11] - TRADE : From Moose to Piranhas : Mark Scheifele (93), Oscar Klefbom (87), Y:2019-RND:4-Out, Y:2020-RND:3-MOO.
[2018-11-29 06:04:11] - TRADE : From Piranhas to Moose : Jack Eichel (90), Jesse Puljujarvi (80).
[2018-11-08 19:34:57] - TRADE : From Piranhas to Moose : Jeff Carter (91), Y:2019-RND:7-PIR.
[2018-11-08 19:34:57] - TRADE : From Moose to Piranhas : Jordan Staal (91), Ryan Hartman (80), Y:2019-RND:3-MOO.
[2018-10-01 18:43:21] - Magnus Hellberg was released.
[2018-10-01 18:43:21] - Moose paid 0 $ to release Magnus Hellberg.
[2018-10-01 18:42:56] - Landon Ferraro was released.
[2018-10-01 18:42:56] - Moose paid 0 $ to release Landon Ferraro.
[2018-10-01 18:41:29] - Dylan McIlrath was released.
[2018-10-01 18:41:29] - Moose paid 0 $ to release Dylan McIlrath.
[2018-10-01 18:40:18] - Cole Schneider was released.
[2018-10-01 18:40:18] - Moose paid 0 $ to release Cole Schneider.
[2018-10-01 18:40:09] - Chris Wagner was released.
[2018-10-01 18:40:09] - Moose paid 0 $ to release Chris Wagner.
[2018-10-01 18:39:37] - Anton Lander was released.
[2018-10-01 18:39:37] - Moose paid 0 $ to release Anton Lander.
[2018-10-01 18:39:18] - Andreas Martinsen was released.
[2018-10-01 18:39:18] - Moose paid 0 $ to release Andreas Martinsen.
[2018-09-29 06:19:56] - TRADE : From Moose to Piranhas : Jakub Jerabek (82).
[2018-09-29 06:19:56] - TRADE : From Piranhas to Moose : 75 000 $ (Money).
[2018-09-29 06:17:04] - TRADE : From Moose to Expos : Michael Dal Colle (71).
[2018-09-29 06:17:04] - TRADE : From Expos to Moose : 75 000 $ (Money).
[2018-09-27 05:42:36] - Dion Phaneuf has been selected as assistant for Moose.
[2018-09-27 05:42:36] - Milan Lucic is no longer as assistant for Moose.
[2018-09-27 05:42:36] - Corey Perry has been selected as assistant for Moose.
[2018-09-27 05:42:36] - Unknown Player is no longer as assistant for Moose.
[2018-09-27 05:42:36] - Shea Weber has been selected as captain for Moose.
[2018-09-27 05:42:36] - Dion Phaneuf is no longer captain for Moose.
[2018-09-25 05:57:11] - TRADE : From Moose to Expos : Johnny Boychuk (90), Jason Demers (86), Ryan Callahan (81), Y:2019-RND:7-MOO.
[2018-09-25 05:57:11] - TRADE : From Expos to Moose : Jakub Jerabek (82).
[2018-09-11 19:13:57] - TRADE : From Texans to Moose : Mark Scheifele (93).
[2018-09-11 19:13:57] - TRADE : From Moose to Texans : Phillip Danault (84), Kailer Yamamoto (72), Y:2020-RND:1-MOO, Y:2021-RND:1-MOO, Y:2022-RND:3-MOO.
[2018-08-27 21:50:14] - TRADE : From Pioneers to Moose : Shea Weber (95), Michael Dal Colle (71).
[2018-08-27 21:50:14] - TRADE : From Moose to Pioneers : Brady Skjei (85), Y:2019-RND:2-MOO.
[2018-08-05 08:29:29] - Matt Martin was released.
[2018-08-05 08:29:29] - Moose paid 0 $ to release Matt Martin.
[2018-08-05 08:28:50] - Justin Falk was released.
[2018-08-05 08:28:50] - Moose paid 0 $ to release Justin Falk.
[2018-08-04 07:32:47] - Vadim Shipachyov has been added to Moose.
[2018-08-04 07:32:30] - Vadim Shipachyov retired from Moose

[2019-04-18 05:18:57] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-04-16 05:58:57] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-04-15 19:43:31] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-04-15 19:16:28] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-04-15 05:33:46] Ryan Getzlaf from Moose is back from Herniated Disc Injury.
[2019-04-14 06:24:10] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-04-13 08:46:48] T.J. Oshie from Moose is back from Strained Right Knee Injury.
[2019-04-13 08:46:47] Game 67 - T.J. Oshie from Moose is injured (Strained Right Knee) and is out for 3 days.
[2019-04-13 08:46:28] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-04-12 05:59:53] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-04-11 05:57:02] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-04-10 18:00:51] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-04-08 06:07:31] Anders Lee from Moose has scored a Hat Trick!
[2019-04-08 06:05:30] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-04-07 06:25:24] Lukas Sedlak from Caribou has scored a Hat Trick!
[2019-04-07 06:25:11] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-04-06 07:04:06] Game 16 - Ryan Getzlaf from Moose is injured (Herniated Disc) and is out for 1 month.
[2019-04-06 07:03:05] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-04-05 06:04:40] Jack Eichel from Moose is back from Bruised Left Arm Injury.
[2019-04-05 06:04:40] Boone Jenner from Moose has scored a Hat Trick!
[2019-04-05 06:04:40] Game 8 - Jack Eichel from Moose is injured (Bruised Left Arm) and is out for 3 days.
[2019-04-05 06:04:14] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-04-03 19:55:31] Current fund for Moose is under 0 $.
[2019-04-03 05:39:35] Current fund for Moose is under 0 $.
[2019-04-02 06:02:08] Current fund for Moose is under 0 $.
[2019-04-01 06:01:47] Tyler Myers from Moose is back from Bruised Left Foot Injury.
[2019-04-01 06:01:47] Dmitry Orlov from Moose is back from Right Foot Injury.
[2019-03-31 06:47:48] Ryan McDonagh from Moose is back from Broken Bone (Left Arm) Injury.
[2019-03-31 06:47:37] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-03-30 07:40:51] Current fund for Moose is under 0 $.
[2019-03-27 06:05:27] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-03-27 06:05:27] Nathan Beaulieu of Moose was sent to pro.
[2019-03-26 06:15:07] Game 776 - Dmitry Orlov from Moose is injured (Right Foot) and is out for 1 week.
[2019-03-26 06:15:07] Game 776 - Tyler Myers from Moose is injured (Bruised Left Foot) and is out for 1 week.
[2019-03-26 06:14:58] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-03-23 07:45:38] Ryan Getzlaf from Moose is back from Sprained Right Finger Injury.
[2019-03-20 05:39:32] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-03-19 05:32:41] Auto Lines Partial Function has been run for Moose.
[2019-03-19 05:32:41] Auto Roster Partial Function has been run for Moose.
[2019-03-19 05:32:40] Moose roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-03-16 07:49:08] Game 728 - Ryan Getzlaf from Moose is injured (Sprained Right Finger) and is out for 1 week.
[2019-03-16 07:48:57] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-03-15 06:02:39] Auto Lines Partial Function has been run for Moose.
[2019-03-15 06:02:39] Moose lines errors : OT Defense #3 is empty.
[2019-03-15 06:02:32] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-03-11 06:04:06] Game 709 - Ryan McDonagh from Moose is injured (Broken Bone (Left Arm)) and is out for 3 weeks.
[2019-03-11 06:03:46] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-03-08 07:21:48] Matt Duchene from Moose is back from Torn Left ACL Injury.
[2019-03-04 06:53:17] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-03-01 05:06:38] Successfully loaded Moose lines done with Web Base Client and SQLite Database.

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	27	34	0	8	11	2	2	205	236	-31	42	16	13	0	3	6	2	2	105	98	7	42	11	21	0	5	5	0	0	100	138	-38	54	205	373	578	1	3	51	77	67	10	2412	763	801	817	45	2415	784	1064	1688	220	37	16.82%	265	59	77.74%	0	911	1728	52.72%	912	1683	54.19%	577	1042	55.37%	1878	1189	1892	703	1328	654
2017	84	32	41	0	3	4	2	2	215	247	-32	42	16	20	0	3	1	1	1	116	125	-9	42	16	21	0	0	3	1	1	99	122	-23	64	215	387	602	0	3	82	73	55	7	2485	845	833	792	34	2448	883	840	1746	301	62	20.60%	367	81	77.93%	4	912	1750	52.11%	944	1749	53.97%	542	1055	51.37%	1886	1170	1875	708	1311	649
2017	84	37	30	0	10	6	0	1	258	236	22	42	25	9	0	6	1	0	1	149	101	48	42	12	21	0	4	5	0	0	109	135	-26	74	258	472	730	2	2	81	73	94	10	2598	855	855	862	29	2421	828	519	1805	283	63	22.26%	258	60	76.74%	6	855	1754	48.75%	826	1681	49.14%	589	1078	54.64%	1893	1190	1879	700	1311	651
2018	82	38	27	0	5	7	2	3	219	226	-7	41	22	11	0	2	4	1	1	118	102	16	41	16	16	0	3	3	1	2	101	124	-23	76	219	397	616	1	1	80	62	70	7	2651	896	908	816	45	2726	979	1006	1649	318	53	16.67%	417	78	81.29%	6	969	1826	53.07%	1046	1970	53.10%	526	966	54.45%	1813	1134	1918	701	1239	606
Total Saison Régulière	334	134	132	0	26	28	6	8	897	945	-48	167	79	53	0	14	12	4	5	488	426	62	167	55	79	0	12	16	2	3	409	519	-110	268	897	1629	2526	4	9	294	285	286	34	10146	3359	3397	3287	153	10010	3474	3429	6888	1122	215	19.16%	1307	278	78.73%	16	3647	7058	51.67%	3728	7083	52.63%	2234	4141	53.95%	7471	4686	7565	2814	5190	2561
Séries
2016	11	5	6	0	0	0	0	0	33	31	2	5	2	3	0	0	0	0	0	16	17	-1	6	3	3	0	0	0	0	0	17	14	3	10	33	59	92	2	0	12	10	11	0	330	109	117	92	12	336	121	124	259	25	9	36.00%	32	8	75.00%	0	104	223	46.64%	116	218	53.21%	67	153	43.79%	262	164	245	94	188	93
2016	4	0	4	0	0	0	0	0	5	14	-9	2	0	2	0	0	0	0	0	3	5	-2	2	0	2	0	0	0	0	0	2	9	-7	0	5	10	15	0	0	3	2	0	0	100	35	28	36	1	116	44	10	87	7	1	14.29%	5	0	100.00%	0	37	74	50.00%	33	78	42.31%	22	44	50.00%	86	50	90	35	72	35
2017	5	1	4	0	0	0	0	0	13	20	-7	2	0	2	0	0	0	0	0	3	8	-5	3	1	2	0	0	0	0	0	10	12	-2	2	13	23	36	0	0	3	8	2	0	158	49	47	62	0	159	55	39	72	22	4	18.18%	17	4	76.47%	0	57	117	48.72%	54	96	56.25%	28	68	41.18%	108	68	115	41	76	38
2017	6	2	4	0	0	0	0	0	14	24	-10	3	1	2	0	0	0	0	0	6	10	-4	3	1	2	0	0	0	0	0	8	14	-6	4	14	25	39	0	0	4	5	5	0	185	61	48	76	0	203	73	34	127	12	3	25.00%	17	5	70.59%	0	60	112	53.57%	65	130	50.00%	46	76	60.53%	125	77	142	47	92	46
2018	9	8	1	0	0	0	0	0	29	17	12	4	4	0	0	0	0	0	0	18	9	9	5	4	1	0	0	0	0	0	11	8	3	16	29	54	83	0	0	9	13	5	2	297	92	101	71	33	322	114	119	191	37	8	21.62%	48	7	85.42%	0	102	208	49.04%	119	222	53.60%	50	109	45.87%	213	132	228	80	143	71
Total Séries	35	16	19	0	0	0	0	0	94	106	-12	16	7	9	0	0	0	0	0	46	49	-3	19	9	10	0	0	0	0	0	48	57	-9	32	94	171	265	2	0	31	38	23	2	1070	346	341	337	46	1136	407	326	736	103	25	24.27%	119	24	79.83%	0	360	734	49.05%	387	744	52.02%	213	450	47.33%	796	493	822	299	573	285