NSLNH - Montreal

Montreal

GP: 9 | W: 5 | L: 4 | OTL: 0 | P: 10
GF: 30 | GA: 28 | PP%: 25.00% | PK%: 77.78%
DG: Sebastien Michaud | Morale : 50 | Moyenne d'Équipe : 74

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Laval Rocket
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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	Evgeni Malkin	X		X		100.00	67	53	69	91	75	80	87	90	81	96	95	54	69	80	87	0	99	78	0
2	Jack Eichel	X				100.00	71	43	85	93	73	84	81	91	79	89	86	63	36	63	63	0	99	77	0
3	Nikita Kucherov		X	X		100.00	63	41	84	91	66	83	94	88	55	98	92	52	59	68	71	0	99	76	0
4	Adam Lowry	X	X			100.00	93	47	93	78	79	70	81	71	97	74	71	84	25	65	66	0	99	75	0
5	Joe Thornton	X				100.00	69	74	77	72	84	79	80	92	85	84	79	57	63	99	99	0	99	75	0
6	Anders Lee	X	X			100.00	77	45	84	84	83	76	99	85	56	72	92	58	25	67	68	0	99	74	0
7	Sam Reinhart	X		X		100.00	67	42	89	84	69	76	98	91	43	75	81	56	69	64	64	0	99	73	0
8	Mark Letestu	X		X		100.00	71	43	95	70	69	64	96	74	90	64	60	84	70	73	74	0	99	72	0
9	Brian Gibbons	X	X	X		100.00	67	41	89	70	60	68	82	60	40	69	72	92	25	58	59	0	99	70	0
10	Tobias Rieder			X		100.00	77	43	97	86	67	68	96	61	42	63	68	75	25	66	66	0	99	70	0
11	Matt Cullen	X	X			100.00	59	41	91	74	74	62	93	56	82	62	66	71	72	98	99	0	99	69	0
12	Brendan Gaunce	X	X			100.00	78	44	91	71	76	65	69	62	48	55	60	87	25	57	57	0	99	68	0
13	Ryan McDonagh				X	100.00	76	44	89	86	77	88	87	74	25	70	48	97	25	72	77	0	99	80	0
14	Adam Larsson				X	100.00	99	48	84	82	77	85	88	60	25	52	48	88	25	69	70	0	99	77	0
15	Patrik Nemeth				X	100.00	75	55	82	71	85	79	71	60	25	54	48	99	25	61	62	0	99	76	0
16	Jack Johnson				X	100.00	78	45	90	78	84	79	97	58	25	50	48	87	66	80	81	0	99	76	0
17	Troy Stecher				X	100.00	81	54	85	83	68	77	89	61	25	52	47	78	25	59	59	0	99	72	0
18	Samuel Girard (R)				X	100.00	67	41	96	88	59	74	73	75	25	61	48	63	25	57	57	0	99	66	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	74	47	87	81	74	75	87	73	53	69	67	75	42	70	71	0	99	74

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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	Pekka Rinne	100.00	94	90	87	86	99	90	76	91	92	94	67	73	76	0	99	88	0
2	Philipp Grubauer	100.00	85	59	59	70	93	77	75	83	89	85	73	56	57	0	99	77	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	90	75	73	78	96	84	76	87	91	90	70	65	67	0	99	83

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Peter Laviolette	69	97	90	55	63	73	75	USA	49	4	500,000$

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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	HT	P/20	S1	S2	S3
1	Sam Reinhart	Montreal	C/RW	9	11	4	15	0	2	11	16	38	8	25	28.95%	4	178	19.80	1	3	4	3	11	1	0	1	1	35	3	1	27.69%	65	3	4	1	1.68	3	0	1
2	Evgeni Malkin	Montreal	C/RW	9	4	8	12	6	16	12	8	31	9	15	12.90%	4	166	18.52	0	0	0	1	13	0	0	0	0	0	1	0	39.02%	82	7	2	0	1.44	0	2	0
3	Nikita Kucherov	Montreal	LW/RW	9	4	4	8	4	2	11	12	23	10	13	17.39%	10	218	24.24	0	0	0	0	16	0	1	1	1	35	0	0	38.10%	21	11	4	0	0.73	1	0	0
4	Joe Thornton	Montreal	C	9	2	4	6	-5	6	7	9	20	9	16	10.00%	3	129	14.33	1	1	2	1	5	0	0	0	0	0	0	0	56.25%	144	3	6	0	0.93	0	0	0
5	Troy Stecher	Montreal	D	9	1	5	6	2	6	10	19	6	6	5	16.67%	9	220	24.46	0	0	0	0	10	0	0	0	0	34	0	0	0.00%	0	0	3	0	0.55	0	0	0
6	Jack Eichel	Montreal	C	5	0	5	5	3	2	5	6	12	2	10	0.00%	2	102	20.42	0	0	0	1	5	0	0	0	0	1	0	0	52.41%	145	4	0	0	0.98	0	0	0
7	Anders Lee	Montreal	C/LW	9	0	5	5	-1	4	14	10	18	9	14	0.00%	6	156	17.41	0	1	1	1	12	0	0	0	0	4	0	0	25.00%	16	4	2	0	0.64	0	0	1
8	Adam Lowry	Montreal	C/LW	9	1	3	4	2	2	17	12	15	10	20	6.67%	1	146	16.26	0	1	1	1	8	0	0	0	1	21	0	0	52.63%	76	4	1	0	0.55	0	0	0
9	Adam Larsson	Montreal	D	9	1	3	4	2	10	13	11	13	1	4	7.69%	15	213	23.76	1	2	3	2	18	0	0	0	2	19	0	0	0.00%	0	2	5	0	0.37	0	0	0
10	Brian Gibbons	Montreal	C/LW/RW	9	2	1	3	1	6	4	4	19	9	8	10.53%	4	121	13.53	0	0	0	0	1	0	0	0	1	15	0	0	28.57%	7	3	1	0	0.49	0	0	1
11	Ryan McDonagh	Montreal	D	9	1	2	3	2	2	9	15	19	12	5	5.26%	11	254	28.30	1	1	2	2	19	0	0	0	0	38	0	0	0.00%	0	4	13	0	0.24	0	0	0
12	Mark Letestu	Montreal	C/RW	9	1	1	2	1	2	7	8	22	4	13	4.55%	1	82	9.17	0	0	0	0	1	0	0	0	0	0	0	1	60.47%	43	2	1	0	0.48	0	0	1
13	Patrik Nemeth	Montreal	D	9	0	2	2	1	6	13	8	8	4	5	0.00%	12	174	19.40	0	0	0	0	0	0	0	0	0	3	0	0	0.00%	0	0	7	0	0.23	0	0	0
14	Jack Johnson	Montreal	D	9	0	2	2	2	0	13	14	11	1	1	0.00%	7	164	18.24	0	0	0	0	9	0	0	0	1	24	0	0	0.00%	0	2	5	0	0.24	0	0	0
15	Rob O'Gara	Laval Rocket (MTL)	D	1	1	0	1	0	0	0	1	2	0	0	50.00%	2	14	14.32	1	0	1	2	0	0	0	0	0	1	0	0	0.00%	0	0	1	0	1.40	0	0	0
16	Brendan Gaunce	Montreal	C/LW	9	0	1	1	1	0	4	13	8	4	7	0.00%	2	93	10.43	0	0	0	0	0	0	0	0	0	0	0	0	20.00%	5	0	0	0	0.21	0	0	0
17	Samuel Girard	Montreal	D	8	1	0	1	1	4	2	4	4	2	1	25.00%	2	94	11.80	0	0	0	0	0	0	0	0	0	0	1	0	0.00%	0	5	0	0	0.21	0	0	0
18	Matt Cullen	Montreal	C/LW	9	0	0	0	1	0	8	7	9	3	11	0.00%	2	89	9.94	0	0	0	0	0	0	0	0	0	6	0	0	50.00%	2	2	3	0	0.00	0	0	0
19	Markus Hannikainen	Laval Rocket (MTL)	LW/RW	4	0	0	0	2	0	4	1	4	5	3	0.00%	1	37	9.37	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0.00	0	0	0
20	Tobias Rieder	Montreal	RW	9	0	0	0	-1	2	4	9	14	4	8	0.00%	1	120	13.41	0	0	0	0	10	0	0	0	0	0	0	0	50.00%	6	3	0	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				162	30	50	80	24	72	168	187	296	112	184	10.14%	99	2779	17.16	5	9	14	14	147	1	1	2	7	241	5	2	47.71%	612	59	59	1	0.58	4	2	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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Pekka Rinne	Montreal	9	5	2	2	0.906	2.96	568	0	0	28	299	125	1	0	0.000	0	9	0	1	0	0
Stats d'équipe Total ou en Moyenne			9	5	2	2	0.906	2.96	568	0	0	28	299	125	1	0	0.000	0	9	0	1	0	0

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Adam Larsson	Montreal	D	24	1993-01-01	No	215 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	3,400,000$	3,400,000$	161,905$	No	Lien
Adam Lowry	Montreal	C/LW	24	1994-01-01	No	210 Lbs	6 ft5	No	No	No	4	Avec Restriction	Pro & Farm	2,900,000$	2,900,000$	138,095$	No	Lien
Anders Lee	Montreal	C/LW	27	1991-01-01	No	228 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	4,300,000$	4,300,000$	204,762$	No	Lien
Brendan Gaunce	Montreal	C/LW	23	1995-01-01	No	217 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	925,000$	925,000$	44,048$	No	Lien
Brian Gibbons	Montreal	C/LW/RW	28	1989-01-01	No	175 Lbs	5 ft8	No	No	No	2	Sans Restriction	Pro & Farm	1,100,000$	1,100,000$	52,381$	No	Lien
Evgeni Malkin	Montreal	C/RW	32	1986-01-01	No	195 Lbs	6 ft3	No	No	No	4	Sans Restriction	Pro & Farm	9,500,000$	9,500,000$	452,381$	No	Lien
Jack Eichel	Montreal	C	20	1997-01-01	No	196 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	925,000$	925,000$	44,048$	No	Lien
Jack Johnson	Montreal	D	30	1988-01-01	No	226 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	5,500,000$	5,500,000$	261,905$	No	Lien
Joe Thornton	Montreal	C	38	1980-01-01	No	220 Lbs	6 ft4	No	No	No	2	Sans Restriction	Pro & Farm	7,000,000$	7,000,000$	333,333$	No	Lien
Mark Letestu	Montreal	C/RW	32	1985-01-01	No	197 Lbs	5 ft10	No	No	No	2	Sans Restriction	Pro & Farm	2,000,000$	2,000,000$	95,238$	No	Lien
Matt Cullen	Montreal	C/LW	42	1976-01-01	No	200 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	1,500,000$	1,500,000$	71,429$	No	Lien
Nikita Kucherov	Montreal	LW/RW	24	1994-01-01	No	178 Lbs	5 ft11	No	No	No	2	Avec Restriction	Pro & Farm	4,800,000$	4,800,000$	228,571$	No	Lien
Patrik Nemeth	Montreal	D	24	1993-01-01	No	215 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	1,700,000$	1,700,000$	80,952$	No	Lien
Pekka Rinne	Montreal	G	35	1983-01-01	No	217 Lbs	6 ft5	No	No	No	1	Sans Restriction	Pro & Farm	10,000,000$	10,000,000$	476,190$	No	Lien
Philipp Grubauer	Montreal	G	26	1992-01-01	No	182 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	71,429$	No	Lien
Ryan McDonagh	Montreal	D	28	1990-01-01	No	216 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	7,500,000$	7,500,000$	357,143$	No	Lien
Sam Reinhart	Montreal	C/RW	22	1996-01-01	No	193 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	3,000,000$	3,000,000$	142,857$	No	Lien
Samuel Girard	Montreal	D	19	1998-04-12 3:04:56 PM	Yes	162 Lbs	5 ft10	No	No	No	5	Avec Restriction	Pro & Farm	925,000$	925,000$	44,048$	No	Lien / Lien NHL
Tobias Rieder	Montreal	RW	24	1994-01-01	No	185 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	2,300,000$	2,300,000$	109,524$	No	Lien
Troy Stecher	Montreal	D	23	1995-01-01	No	190 Lbs	5 ft10	No	No	No	4	Avec Restriction	Pro & Farm	925,000$	925,000$	44,048$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	27.25	201 Lbs	6 ft1	1.95	3,585,000$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
71,700,000$	33,475,000$	14,250,000$	14,250,000$	925,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Nikita Kucherov	Jack Eichel	Evgeni Malkin	40	0	1	4
2	Anders Lee	Joe Thornton	Sam Reinhart	30	0	2	3
3	Brendan Gaunce	Adam Lowry	Brian Gibbons	22	0	2	3
4	Matt Cullen	Mark Letestu	Tobias Rieder	8	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Patrik Nemeth	Ryan McDonagh	36	0	3	2
2	Troy Stecher	Adam Larsson	35	0	3	2
3	Jack Johnson	Samuel Girard	20	0	3	2
4	Jack Johnson	Ryan McDonagh	9	0	3	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Nikita Kucherov	Jack Eichel	Evgeni Malkin	70	0	0	5
2	Anders Lee	Joe Thornton	Sam Reinhart	30	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Adam Larsson	Ryan McDonagh	70	0	1	4
2	Jack Johnson	Troy Stecher	30	0	2	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sam Reinhart	Nikita Kucherov	70	0	5	0
2	Anders Lee	Adam Lowry	30	0	5	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan McDonagh	Troy Stecher	70	0	5	0
2	Jack Johnson	Adam Larsson	30	0	0	5

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Adam Lowry	70	0	5	0	Adam Larsson	Troy Stecher	70	0	5	0
2	Nikita Kucherov	30	0	5	0	Jack Johnson	Ryan McDonagh	30	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jack Eichel	Nikita Kucherov	70	0	2	3
2	Evgeni Malkin	Sam Reinhart	30	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Troy Stecher	Ryan McDonagh	70	0	2	3
2	Jack Johnson	Patrik Nemeth	30	0	3	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nikita Kucherov	Evgeni Malkin	Joe Thornton	Troy Stecher	Adam Larsson

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brendan Gaunce	Adam Lowry	Brian Gibbons	Troy Stecher	Adam Larsson

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jack Eichel, Anders Lee, Nikita Kucherov	Nikita Kucherov, Anders Lee	Nikita Kucherov

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Troy Stecher, Jack Johnson, Ryan McDonagh	Jack Johnson	Troy Stecher, Jack Johnson

Tirs de Pénalité
Jack Eichel, Nikita Kucherov, Anders Lee, Adam Lowry, Sam Reinhart

Gardien
#1 : Pekka Rinne, #2 : Philipp Grubauer

Lignes d'Attaque Perso. en Prol.
Joe Thornton, Nikita Kucherov, Tobias Rieder, Adam Lowry, Brendan Gaunce, Anders Lee, Anders Lee, Mark Letestu, Sam Reinhart, Brian Gibbons, Matt Cullen

Lignes de Défense Perso. en Prol.
Adam Larsson, Jack Johnson, Troy Stecher, Ryan McDonagh, Patrik Nemeth

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	Boston	4	4	0	0	0	0	0	0	16	10	6	2	2	0	0	0	0	0	0	7	5	2	2	2	0	0	0	0	0	0	9	5	4	8	1.000	16	24	40	0	0	3	8	3	2	129	32	41	46	10	140	51	34	64	12	3	25.00%	17	5	70.59%	1	111	214	51.87%	112	261	42.91%	69	137	50.36%	79	42	104	40	74	37
2	Floride	5	1	4	0	0	0	0	0	14	18	-4	2	0	2	0	0	0	0	0	3	6	-3	3	1	2	0	0	0	0	0	11	12	-1	2	0.200	14	26	40	0	0	3	8	3	0	167	45	70	48	4	159	48	38	104	8	2	25.00%	19	3	84.21%	0	111	214	51.87%	112	261	42.91%	69	137	50.36%	111	65	107	48	90	42
	Total	9	5	4	0	0	0	0	0	30	28	2	4	2	2	0	0	0	0	0	10	11	-1	5	3	2	0	0	0	0	0	20	17	3	10	0.556	30	50	80	0	0	6	16	6	2	296	77	111	94	14	299	99	72	168	20	5	25.00%	36	8	77.78%	1	111	214	51.87%	112	261	42.91%	69	137	50.36%	191	108	212	89	164	79
	_Since Last GM Reset	9	5	4	0	0	0	0	0	30	28	2	4	2	2	0	0	0	0	0	10	11	-1	5	3	2	0	0	0	0	0	20	17	3	10	0.556	30	50	80	0	0	6	16	6	2	296	77	111	94	14	299	99	72	168	20	5	25.00%	36	8	77.78%	1	111	214	51.87%	112	261	42.91%	69	137	50.36%	191	108	212	89	164	79
	_Vs Conference	9	5	4	0	0	0	0	0	30	28	2	4	2	2	0	0	0	0	0	10	11	-1	5	3	2	0	0	0	0	0	20	17	3	10	0.556	30	50	80	0	0	6	16	6	2	296	77	111	94	14	299	99	72	168	20	5	25.00%	36	8	77.78%	1	111	214	51.87%	112	261	42.91%	69	137	50.36%	191	108	212	89	164	79
	_Vs Division	9	5	4	0	0	0	0	0	30	28	2	4	2	2	0	0	0	0	0	10	11	-1	5	3	2	0	0	0	0	0	20	17	3	10	0.556	30	50	80	0	0	6	16	6	2	296	77	111	94	14	299	99	72	168	20	5	25.00%	36	8	77.78%	1	111	214	51.87%	112	261	42.91%	69	137	50.36%	191	108	212	89	164	79

			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	10	OTL2	30	50	80	296	299	99	72	168	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	5	4	0	0	0	0	30	28

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	10	11

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	3	2	0	0	0	0	20	17

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	2	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
20	5	25.00%	36	8	77.78%	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
77	111	94	14	6	16	6	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
111	214	51.87%	112	261	42.91%	69	137	50.36%

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
191	108	212	89	164	79

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
2 - 2018-10-15	6	Boston	4	Montreal	5	W	X	Sommaire du Match
4 - 2018-10-17	14	Boston	1	Montreal	2	W	X	Sommaire du Match
6 - 2018-10-19	22	Montreal	4	Boston	3	W		Sommaire du Match
8 - 2018-10-21	30	Montreal	5	Boston	2	W		Sommaire du Match
16 - 2018-10-29	59	Montreal	3	Floride	5	L		Sommaire du Match
18 - 2018-10-31	63	Montreal	5	Floride	3	W		Sommaire du Match
20 - 2018-11-02	67	Floride	3	Montreal	1	L		Sommaire du Match
22 - 2018-11-04	71	Floride	3	Montreal	2	L	X	Sommaire du Match
24 - 2018-11-06	75	Montreal	3	Floride	4	L	X	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	250	175	125	80	300
Assistance	25,926	22,078	10,776	17,959	7,574
Attendance PCT	92.59%	91.99%	89.80%	89.80%	94.68%

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	21078 - 91.64%	1,963,636$	7,854,545$	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$	71,700,000$	71,225,000$	0$	0$

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$	20	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	2	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$	27,457,491$	27,457,491$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Nikita Kucherov	AGE:24	PO:0	OV:76
Adam Lowry	AGE:24	PO:0	OV:75
Anders Lee	AGE:27	PO:0	OV:74
Brian Gibbons	AGE:28	PO:0	OV:70
Matt Cullen	AGE:42	PO:0	OV:69
Brendan Gaunce	AGE:23	PO:0	OV:68
Nicklas Jensen	AGE:24	PO:0	OV:61
Markus Hannikainen	AGE:24	PO:0	OV:60
Tobias Lindberg	AGE:23	PO:0	OV:59
Troy Bourke	AGE:23	PO:0	OV:55
Austen Brassard	AGE:24	PO:0	OV:54
Troy Josephs	AGE:23	PO:0	OV:53
Evan Campbell	AGE:24	PO:0	OV:50
Sam Lafferty	AGE:22	PO:0	OV:47

Evgeni Malkin	AGE:32	PO:0	OV:78
Jack Eichel	AGE:20	PO:0	OV:77
Adam Lowry	AGE:24	PO:0	OV:75
Joe Thornton	AGE:38	PO:0	OV:75
Anders Lee	AGE:27	PO:0	OV:74
Sam Reinhart	AGE:22	PO:0	OV:73
Mark Letestu	AGE:32	PO:0	OV:72
Brian Gibbons	AGE:28	PO:0	OV:70
Matt Cullen	AGE:42	PO:0	OV:69
Brendan Gaunce	AGE:23	PO:0	OV:68
Patrick Brown	AGE:24	PO:0	OV:61
Nicholas Baptiste	AGE:23	PO:0	OV:60
Troy Bourke	AGE:23	PO:0	OV:55
Austen Brassard	AGE:24	PO:0	OV:54
Troy Josephs	AGE:23	PO:0	OV:53
Cody Payne	AGE:24	PO:0	OV:50
Avery Peterson	AGE:22	PO:0	OV:47
Sam Lafferty	AGE:22	PO:0	OV:47

Evgeni Malkin	AGE:32	PO:0	OV:78
Nikita Kucherov	AGE:24	PO:0	OV:76
Sam Reinhart	AGE:22	PO:0	OV:73
Mark Letestu	AGE:32	PO:0	OV:72
Brian Gibbons	AGE:28	PO:0	OV:70
Tobias Rieder	AGE:24	PO:0	OV:70
Nicklas Jensen	AGE:24	PO:0	OV:61
Patrick Brown	AGE:24	PO:0	OV:61
Markus Hannikainen	AGE:24	PO:0	OV:60
Nicholas Baptiste	AGE:23	PO:0	OV:60
Tobias Lindberg	AGE:23	PO:0	OV:59
Brian Hart	AGE:24	PO:0	OV:55
Austen Brassard	AGE:24	PO:0	OV:54
Christophe Lalancette	AGE:24	PO:0	OV:51
Evan Campbell	AGE:24	PO:0	OV:50

Défense #1

Défense #2

Gardien

Ryan McDonagh	AGE:28	PO:0	OV:80
Adam Larsson	AGE:24	PO:0	OV:77
Patrik Nemeth	AGE:24	PO:0	OV:76
Jack Johnson	AGE:30	PO:0	OV:76
Troy Stecher	AGE:23	PO:0	OV:72
Rob O'Gara	AGE:24	PO:0	OV:68
*Samuel Girard	AGE:19	PO:0	OV:66

*Ethan Bear	AGE:20	PO:0	OV:64
Dean Kukan	AGE:24	PO:0	OV:60
Michael Paliotta	AGE:24	PO:0	OV:58
*Michael Brodzinski	AGE:22	PO:0	OV:56
James Melindy	AGE:24	PO:0	OV:54
Taylor Doherty	AGE:26	PO:0	OV:53
Dmitry Sinitsyn	AGE:24	PO:0	OV:50

Pekka Rinne	AGE:35	PO:0	OV:88
Philipp Grubauer	AGE:26	PO:0	OV:77
Laurent Brossoit	AGE:24	PO:0	OV:57
David Honzík	AGE:24	PO:0	OV:48

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
Beck Malenstyn	Montreal	2025	174
Brandon Baddock	Montreal	2021	88
Brandon Hagel	Montreal	2025	103
Brett Seney	Montreal	2023	104
Carter Hart	Montreal	2025	23
Chase Lang	Montreal	2021	68
Dante Fabbro	Montreal	2025	17
Henri Kiviaho	Montreal	2018	91
Isac Lundestrom	Montreal	2028	17
Ivan Lodnia	Montreal	2026	22
Jack Mcbain	Montreal	2028	30
Jacob Moverare	Montreal	2025	84
Jake Paterson	Montreal	2018	45
Jake Wise	Montreal	2028	26
Joe Masonius	Montreal	2025	204
MacKenzie Entwistle	Montreal	2026	32
Martin Prospisil	Montreal	2028	58
Matthew Phillips	Montreal	2025	114
Max Zimmer	Montreal	2025	144
Maxime Comtois	Montreal	2027	19
Michael Anderson	Montreal	2026	38
Michael Clarke	Montreal	2018	77
Mikael Hakkarainen	Montreal	2028	64
Nicholas Caamano	Montreal	2025	80
Niko Mikkola	Montreal	2023	74
Noah Gregor	Montreal	2025	65
Oskari Laaksonen	Montreal	2026	91
Rem Pitlick	Montreal	2025	85
Riley Stillman	Montreal	2025	121
Stelio Mattheos	Montreal	2026	35
Steven Spinner	Montreal	2021	87
Trent Frederic	Montreal	2025	255
Tyler Steenbergen	Montreal	2027	23
Wade Allison	Montreal	2025	50
Wyatte Wylie	Montreal	2028	60

Choix au Repêchage

Année	R1	R2	R3
2029	NSH NYR FLA CAR
2030	MTL		MTL
2031	MTL	CAR	MTL
2032	MTL	MTL	MTL
2033	MTL	MTL	MTL

[2019-02-11 7:45:55 PM] - Montreal was eliminated at round 2 of year 2028.

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
2028	82	48	22	0	1	5	1	5	283	219	64	41	27	11	0	0	3	0	0	143	112	31	41	21	11	0	1	2	1	5	140	107	33	96	283	473	756	4	0	94	92	95	5	2635	992	789	844	31	2570	824	567	1647	314	61	19.43%	212	42	80.19%	1	1018	1943	52.39%	976	1953	49.97%	647	1185	54.60%	1801	1039	1693	745	1464	745
Total Saison Régulière	82	48	22	0	1	5	1	5	283	219	64	41	27	11	0	0	3	0	0	143	112	31	41	21	11	0	1	2	1	5	140	107	33	96	283	473	756	4	0	94	92	95	5	2635	992	789	844	31	2570	824	567	1647	314	61	19.43%	212	42	80.19%	1	1018	1943	52.39%	976	1953	49.97%	647	1185	54.60%	1801	1039	1693	745	1464	745
2028	9	5	4	0	0	0	0	0	30	28	2	4	2	2	0	0	0	0	0	10	11	-1	5	3	2	0	0	0	0	0	20	17	3	10	30	50	80	0	0	6	16	6	2	296	77	111	94	14	299	99	72	168	20	5	25.00%	36	8	77.78%	1	111	214	51.87%	112	261	42.91%	69	137	50.36%	191	108	212	89	164	79
Total Séries	9	5	4	0	0	0	0	0	30	28	2	4	2	2	0	0	0	0	0	10	11	-1	5	3	2	0	0	0	0	0	20	17	3	10	30	50	80	0	0	6	16	6	2	296	77	111	94	14	299	99	72	168	20	5	25.00%	36	8	77.78%	1	111	214	51.87%	112	261	42.91%	69	137	50.36%	191	108	212	89	164	79

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