NSLNH - Montreal

Accueil
Général
Ligue Pro
Ligue Mineure
Ligue
Historique
Liens d'Équipes
- Équipe Pro
  - Western Conference
    - Anaheim
    - Arizona
    - Calgary
    - Chicago
    - Colorado
    - Dallas
    - Edmonton
    - Los Angeles
    - Minnesota
    - Nashville
    - San Jose
    - St. Louis
    - Vancouver
    - Vegas
    - Winnipeg
  - Eastern Conference
    - Boston
    - Buffalo
    - Caroline
    - Columbus
    - Detroit
    - Floride
    - Montreal
    - NY Islanders
    - NY Rangers
    - New Jersey
    - Ottawa
    - Philadelphie
    - Pittsburgh
    - Tampa Bay
    - Toronto
    - Washington
- Équipe Mineure
  - Association Est
  - Association Ouest
Ancienne Pages
Aide
- Dernier Client STHS
- Manuel du Client STHS

Montreal

GP: 36 | W: 24 | L: 10 | OTL: 2 | P: 50
GF: 123 | GA: 94 | PP%: 19.23% | PK%: 76.04%
DG: Sebastien Michaud | Morale : 50 | Moyenne d'Équipe : 74
Prochain matchs #592 vs Calgary

La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Laval Rocket
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Dernière Transactions
Blessure/Suspension
Stats d'équipe en Carrière
Client Web pour Formation
Client Web pour Lignes

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

#	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	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
3	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
4	Joe Thornton	X				100.00	69	74	77	72	84	79	80	92	85	84	79	57	63	99	99	0	99	75	0
5	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
6	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
7	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
8	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
9	Tobias Rieder			X		100.00	77	43	97	86	67	68	96	61	42	63	68	75	25	66	66	0	99	70	0
10	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
11	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
12	Evan Campbell		X	X		100.00	49	65	68	49	50	51	47	50	66	56	48	55	50	55	61	0	99	52	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	95.00	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	Rob O'Gara				X	100.00	79	45	93	74	78	67	83	55	25	50	47	79	25	47	47	0	99	69	0
Rayé
1	Jack Eichel	X				100.00	71	43	85	93	73	84	81	91	79	89	86	63	36	63	63	0	99	77	0

	MOYENNE D'ÉQUIPE					99.74	73	48	86	78	73	74	85	70	53	68	66	75	42	68	70	0	99	73

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

#	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$

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

#	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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Nikita Kucherov	Montreal	LW/RW	36	24	24	48	4	12	0	32	28	135	32	68	17.78%	10	816	22.68	8	8	16	21	142	1	83	5	1	47.14%	70	34	9	0	1	1.18	1	3	0	0	0	5	6	1
2	Evgeni Malkin	Montreal	C/RW	36	15	30	45	4	48	10	49	50	105	35	77	14.29%	20	803	22.31	5	11	16	20	141	2	76	6	1	45.42%	240	39	12	0	0	1.12	2	3	0	1	1	3	2	7
3	Jack Eichel	Montreal	C	33	14	30	44	6	21	5	37	64	95	26	60	14.74%	12	665	20.17	3	13	16	15	133	0	4	1	2	51.44%	1009	16	16	0	1	1.32	0	0	0	0	1	4	2	0
4	Joe Thornton	Montreal	C	36	14	15	29	6	33	5	49	45	105	27	65	13.33%	21	636	17.67	4	3	7	12	113	1	42	2	0	51.79%	448	18	13	0	0	0.91	0	1	1	0	0	4	1	1
5	Sam Reinhart	Montreal	C/RW	36	12	16	28	7	0	0	24	32	96	31	64	12.50%	11	587	16.31	4	4	8	14	113	0	0	1	2	44.44%	36	22	11	0	2	0.95	0	0	0	0	0	3	0	2
6	Adam Lowry	Montreal	C/LW	36	13	10	23	6	12	0	67	40	109	28	58	11.93%	7	487	13.54	1	1	2	3	8	0	56	1	2	57.25%	269	19	12	1	1	0.94	0	0	0	0	0	1	1	3
7	Anders Lee	Montreal	C/LW	36	8	9	17	7	13	5	72	34	87	23	50	9.20%	11	591	16.44	0	3	3	5	113	0	0	3	2	51.52%	33	26	10	0	0	0.57	0	0	0	0	0	0	2	2
8	Brian Gibbons	Montreal	C/LW/RW	36	2	14	16	8	14	0	32	41	70	23	46	2.86%	11	464	12.90	0	0	0	0	8	1	35	1	0	26.67%	15	14	5	0	0	0.69	0	0	0	0	0	0	1	1
9	Adam Larsson	Montreal	D	34	2	11	13	8	12	0	110	75	33	19	15	6.06%	49	906	26.65	2	4	6	12	151	0	80	0	1	0.00%	0	6	34	0	0	0.29	0	0	0	0	0	0	1	2
10	Brendan Gaunce	Montreal	C/LW	36	6	7	13	6	8	0	23	29	26	19	16	23.08%	8	393	10.94	0	0	0	0	0	0	0	2	0	50.00%	14	1	12	1	0	0.66	0	0	0	0	0	0	1	1
11	Ryan McDonagh	Montreal	D	30	1	9	10	12	14	0	30	48	63	25	17	1.59%	47	751	25.05	1	1	2	6	112	2	74	0	0	0.00%	0	11	21	0	0	0.27	0	0	0	0	0	0	0	1
12	Troy Stecher	Montreal	D	35	1	9	10	11	12	0	49	39	37	11	19	2.70%	35	556	15.91	1	3	4	5	57	0	22	0	0	0.00%	0	5	14	0	0	0.36	0	0	0	0	0	0	3	1
13	Rob O'Gara	Montreal	D	36	1	8	9	5	2	0	20	36	22	6	9	4.55%	23	561	15.59	0	1	1	2	87	0	59	0	0	0.00%	0	2	21	0	0	0.32	0	0	0	0	0	0	0	0
14	Mark Letestu	Montreal	C/RW	36	5	3	8	5	0	0	24	28	40	12	22	12.50%	2	285	7.93	0	1	1	0	6	0	0	1	0	51.25%	80	6	9	0	0	0.56	0	0	0	0	0	1	2	0
15	Tobias Rieder	Montreal	RW	36	1	6	7	4	0	0	25	13	53	18	29	1.89%	6	303	8.42	0	0	0	0	8	0	0	0	0	50.00%	8	22	8	0	0	0.46	0	0	0	0	0	0	0	0
16	Jack Johnson	Montreal	D	36	0	6	6	3	6	0	43	43	23	15	7	0.00%	46	759	21.09	0	1	1	0	102	0	62	0	0	0.00%	0	4	24	0	0	0.16	0	0	0	0	0	0	0	0
17	Patrik Nemeth	Montreal	D	28	1	2	3	7	15	5	30	43	26	9	10	3.85%	23	491	17.55	1	0	1	1	10	0	9	0	0	0.00%	0	5	25	0	0	0.12	0	1	0	1	0	0	0	0
18	Matt Cullen	Montreal	C/LW	36	2	0	2	6	4	0	16	24	29	13	12	6.90%	3	284	7.91	0	0	0	0	0	0	10	0	0	37.50%	8	11	2	0	0	0.14	0	1	0	0	0	0	0	0
19	Samuel Girard	Laval Rocket (MTL)	D	17	0	2	2	0	0	0	7	20	18	6	6	0.00%	18	306	18.04	0	0	0	0	6	0	5	0	0	0.00%	0	3	9	0	0	0.13	0	0	0	0	0	0	0	0
20	Evan Campbell	Montreal	LW/RW	3	0	0	0	0	0	0	1	1	1	0	0	0.00%	1	30	10.23	0	0	0	0	0	0	3	0	0	0.00%	1	0	2	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				648	122	211	333	115	226	30	740	733	1173	378	650	10.40%	364	10683	16.49	30	54	84	116	1318	7	628	23	11	51.05%	2231	264	269	2	5	0.62	3	9	1	2	2	21	22	22

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Pekka Rinne	Montreal	28	18	8	2	0.922	2.42	1635	4	66	843	384	3	2	0.500	6	27	9	3	2	1
2	Philipp Grubauer	Montreal	9	6	2	0	0.914	2.58	536	0	23	268	135	1	1	1.000	2	9	24	1	0	0
Stats d'équipe Total ou en Moyenne			37	24	10	2	0.920	2.46	2172	4	89	1111	519	4	3	0.625	8	36	33	4	2	1

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Adam Larsson (Sur la Masse Salariale)	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$	1,888,889$	No	3,400,000$			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$	1,611,111$	No	2,900,000$	2,900,000$	2,900,000$	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$	2,388,889$	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$	513,889$	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$	611,111$	No	1,100,000$			Lien
Evan Campbell	Montreal	LW/RW	24	1994-01-01	No	195 Lbs	6 ft1	No	No	No	4	Avec Restriction	Pro & Farm	625,000$	625,000$	347,222$	No	625,000$	625,000$	625,000$
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$	5,277,778$	No	9,500,000$	9,500,000$	9,500,000$	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$	513,889$	No	925,000$			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$	3,055,556$	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$	3,888,889$	No	7,000,000$			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$	1,111,111$	No	2,000,000$			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$	833,333$	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$	2,666,667$	No	4,800,000$			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$	944,444$	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$	5,555,556$	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$	833,333$	No				Lien
Rob O'Gara	Montreal	D	24	1994-01-01	No	207 Lbs	6 ft4	No	No	No	1	Avec Restriction	Pro & Farm	750,000$	750,000$	416,667$	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$	4,166,667$	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$	1,666,667$	No				Lien
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$	1,277,778$	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$	513,889$	No	925,000$	925,000$	925,000$	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	27.33	203 Lbs	6 ft1	1.86	3,435,714$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
72,150,000$	33,175,000$	13,950,000$	13,950,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Nikita Kucherov	Evgeni Malkin	Tobias Rieder	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	Evan Campbell	8	1	2	2

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

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Nikita Kucherov	Evgeni Malkin	Tobias Rieder	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	Rob O'Gara	Adam Larsson	70	0	1	4
2	Jack Johnson	Ryan McDonagh	30	0	2	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Evgeni Malkin	Nikita Kucherov	70	0	5	0
2	Joe Thornton	Adam Lowry	30	0	5	0

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

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Evgeni Malkin	70	0	5	0	Rob O'Gara	Adam Larsson	70	0	5	0
2	Joe Thornton	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	Evgeni Malkin	Nikita Kucherov	70	0	2	3
2	Joe Thornton	Adam Lowry	30	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Adam Larsson	Ryan McDonagh	70	0	2	3
2	Jack Johnson	Rob O'Gara	30	0	3	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nikita Kucherov	Joe Thornton	Evgeni Malkin	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
Joe Thornton, Evgeni Malkin, Nikita Kucherov	Joe Thornton, Anders Lee	Joe Thornton

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ryan McDonagh, Jack Johnson, Adam Larsson	Jack Johnson	Ryan McDonagh, Jack Johnson

Tirs de Pénalité
Evgeni Malkin, Nikita Kucherov, Joe Thornton, Adam Lowry, Sam Reinhart

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

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

Lignes de Défense Perso. en Prol.
Adam Larsson, Jack Johnson, Patrik Nemeth, Rob O'Gara, Ryan McDonagh

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	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	1	0	3	0	32	13	9	10	0	23	5	8	17	4	1	25.00%	4	0	100.00%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	20	11	22	9	17	8
2	Buffalo	2	2	0	0	0	0	0	0	10	7	3	2	2	0	0	0	0	0	0	10	7	3	0	0	0	0	0	0	0	0	0	0	0	4	1.000	10	18	28	0	0	3	2	5	0	63	25	10	28	0	70	17	18	40	12	5	41.67%	9	3	66.67%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	43	24	41	18	35	18
3	Calgary	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	5	2	3	4	1.000	7	13	20	0	0	2	4	1	0	65	19	27	19	0	73	25	17	40	8	1	12.50%	6	1	83.33%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	41	23	44	18	34	17
4	Chicago	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	3	5	0	0	1	1	0	0	41	12	14	15	0	28	5	8	17	2	0	0.00%	4	0	100.00%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	23	14	20	8	16	7
5	Colorado	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	12	18	0	0	3	1	2	0	29	13	5	11	0	34	7	6	19	5	3	60.00%	3	1	66.67%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	20	11	20	9	19	9
6	Columbus	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	5	9	0	0	0	3	1	0	29	7	12	10	0	29	8	19	27	6	1	16.67%	2	1	50.00%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	23	12	17	8	19	10
7	Dallas	2	1	1	0	0	0	0	0	10	8	2	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	5	6	-1	2	0.500	10	16	26	0	0	3	5	2	0	62	18	26	18	0	66	25	10	32	13	3	23.08%	5	2	60.00%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	45	26	40	17	33	17
8	Detroit	2	1	1	0	0	0	0	0	5	5	0	2	1	1	0	0	0	0	0	5	5	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	5	9	14	1	0	2	2	1	0	62	23	23	16	0	62	18	9	43	8	1	12.50%	3	1	66.67%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	42	23	40	18	37	19
9	Edmonton	1	1	0	0	0	0	0	0	7	4	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	4	3	2	1.000	7	13	20	0	0	1	1	5	0	38	14	12	12	0	40	8	9	29	5	1	20.00%	2	2	0.00%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	23	14	19	8	16	9
10	Los Angeles	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	4	6	0	0	1	0	1	0	37	19	8	10	0	31	8	2	23	7	1	14.29%	1	1	0.00%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	23	14	19	8	17	9
11	Minnesota	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	1	2	1	0	29	13	8	8	0	30	8	4	27	5	1	20.00%	2	0	100.00%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	20	10	20	10	19	9
12	NY Islanders	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	3	6	0	0	2	1	0	0	32	14	12	6	0	35	8	8	18	3	1	33.33%	4	2	50.00%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	19	11	21	9	18	7
13	NY Rangers	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	0	2	0	0	31	9	14	8	0	33	9	12	12	1	0	0.00%	6	1	83.33%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	22	13	20	9	16	8
14	New Jersey	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	0	2	2	0	34	7	12	15	0	23	7	4	17	8	1	12.50%	2	0	100.00%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	23	12	18	9	17	9
15	Ottawa	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	0	2	-2	2	0.500	4	7	11	0	0	1	0	3	0	66	21	24	21	0	58	17	14	37	2	0	0.00%	7	1	85.71%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	41	23	41	19	37	18
16	Philadelphie	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	0	1	0	1	0	36	21	6	9	0	16	8	4	19	6	0	0.00%	2	0	100.00%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	23	13	17	9	19	9
17	Pittsburgh	3	2	1	0	0	0	0	0	10	8	2	2	2	0	0	0	0	0	0	7	3	4	1	0	1	0	0	0	0	0	3	5	-2	4	0.667	10	16	26	1	0	2	4	4	0	94	25	32	37	0	70	29	16	71	14	4	28.57%	8	1	87.50%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	65	36	62	27	52	27
18	St. Louis	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	0	2	1	0	32	7	14	11	0	38	15	6	17	6	1	16.67%	3	0	100.00%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	20	11	22	9	17	8
19	Tampa Bay	4	1	1	0	0	0	0	2	8	10	-2	2	1	1	0	0	0	0	0	5	5	0	2	0	0	0	0	0	0	2	3	5	-2	4	0.500	8	13	21	0	0	3	2	3	1	124	46	37	39	8	129	57	12	77	16	2	12.50%	6	1	83.33%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	89	50	85	37	75	38
20	Toronto	3	2	1	0	0	0	0	0	10	7	3	1	0	1	0	0	0	0	0	1	4	-3	2	2	0	0	0	0	0	0	9	3	6	4	0.667	10	16	26	0	0	3	4	3	0	102	38	23	41	0	96	38	14	65	17	2	11.76%	6	2	66.67%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	72	41	53	26	53	29
	Total	36	23	10	0	0	0	1	2	123	94	29	19	15	4	0	0	0	0	0	68	48	20	17	8	6	0	0	0	1	2	55	46	9	50	0.694	123	211	334	3	0	38	41	43	3	1173	418	360	393	10	1114	364	230	740	156	30	19.23%	96	23	76.04%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	793	452	734	329	646	331
22	Vancouver	2	1	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	7	4	3	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	8	14	22	1	0	6	1	1	0	65	27	17	21	0	55	19	22	42	4	1	25.00%	6	2	66.67%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	42	24	41	17	36	18
23	Vegas	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	1	1	2	0	40	19	5	16	0	41	12	2	27	1	0	0.00%	2	0	100.00%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	24	15	19	7	16	8
24	Winnipeg	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	4	3	1	2	1.000	4	5	9	0	0	1	1	1	2	30	8	10	12	2	34	11	6	24	3	0	0.00%	3	1	66.67%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	22	11	24	9	18	9
	_Since Last GM Reset	36	23	10	0	0	0	1	2	123	94	29	19	15	4	0	0	0	0	0	68	48	20	17	8	6	0	0	0	1	2	55	46	9	50	0.694	123	211	334	3	0	38	41	43	3	1173	418	360	393	10	1114	364	230	740	156	30	19.23%	96	23	76.04%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	793	452	734	329	646	331
	_Vs Conference	22	13	7	0	0	0	0	2	66	56	10	13	9	4	0	0	0	0	0	41	34	7	9	4	3	0	0	0	0	2	25	22	3	28	0.636	66	110	176	2	0	18	22	26	1	705	249	214	240	8	644	221	138	443	97	18	18.56%	59	13	77.97%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	487	274	442	204	400	206
	_Vs Division	14	8	4	0	0	0	0	2	41	36	5	8	5	3	0	0	0	0	0	25	24	1	6	3	1	0	0	0	0	2	16	12	4	18	0.643	41	71	112	1	0	13	10	18	1	449	166	126	155	8	438	152	75	279	59	11	18.64%	35	8	77.14%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	309	174	284	129	256	132

			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
36	50	L1	123	211	334	1173	1114	364	230	740	3	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	23	10	0	0	1	2	123	94

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
19	15	4	0	0	0	0	68	48

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
17	8	6	0	0	1	2	55	46

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	2	0	0	0	2

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
156	30	19.23%	96	23	76.04%	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
418	360	393	10	38	41	43	3

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
440	872	50.46%	425	830	51.20%	274	522	52.49%

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
793	452	734	329	646	331

Derniers Match Joués

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	Lien
1 - 2018-10-14	2	Detroit	1	Montreal	3	W			Sommaire du Match
4 - 2018-10-17	35	Toronto	4	Montreal	1	L			Sommaire du Match
7 - 2018-10-20	59	Montreal	4	Minnesota	2	W			Sommaire du Match
8 - 2018-10-21	70	Pittsburgh	1	Montreal	2	W			Sommaire du Match
10 - 2018-10-23	93	Calgary	1	Montreal	2	W			Sommaire du Match
13 - 2018-10-26	122	Montreal	5	Toronto	2	W			Sommaire du Match
14 - 2018-10-27	127	Ottawa	3	Montreal	4	W			Sommaire du Match
16 - 2018-10-29	149	Montreal	5	Dallas	6	L			Sommaire du Match
17 - 2018-10-30	160	Buffalo	5	Montreal	6	W			Sommaire du Match
19 - 2018-11-01	185	Montreal	4	Boston	2	W			Sommaire du Match
20 - 2018-11-02	190	Columbus	2	Montreal	4	W			Sommaire du Match
22 - 2018-11-04	218	Tampa Bay	2	Montreal	4	W			Sommaire du Match
23 - 2018-11-05	222	Montreal	2	Chicago	3	L			Sommaire du Match
25 - 2018-11-07	243	Montreal	0	Ottawa	2	L			Sommaire du Match
26 - 2018-11-08	255	Pittsburgh	2	Montreal	5	W			Sommaire du Match
28 - 2018-11-10	280	Vancouver	4	Montreal	7	W			Sommaire du Match
30 - 2018-11-12	294	Montreal	4	Toronto	1	W			Sommaire du Match
31 - 2018-11-13	311	Detroit	4	Montreal	2	L			Sommaire du Match
33 - 2018-11-15	328	Montreal	5	Calgary	2	W			Sommaire du Match
34 - 2018-11-16	339	Vegas	3	Montreal	4	W			Sommaire du Match
36 - 2018-11-18	360	Montreal	2	NY Rangers	3	L			Sommaire du Match
37 - 2018-11-19	368	Montreal	2	Los Angeles	1	W			Sommaire du Match
38 - 2018-11-20	374	Tampa Bay	3	Montreal	1	L			Sommaire du Match
40 - 2018-11-22	402	Colorado	3	Montreal	6	W			Sommaire du Match
42 - 2018-11-24	422	Montreal	3	Pittsburgh	5	L			Sommaire du Match
44 - 2018-11-26	433	Montreal	4	Winnipeg	3	W	X	X	Sommaire du Match
45 - 2018-11-27	440	St. Louis	1	Montreal	3	W			Sommaire du Match
47 - 2018-11-29	464	Montreal	4	New Jersey	2	W			Sommaire du Match
48 - 2018-11-30	469	Dallas	2	Montreal	5	W			Sommaire du Match
50 - 2018-12-02	490	Montreal	7	Edmonton	4	W			Sommaire du Match
51 - 2018-12-03	500	Buffalo	2	Montreal	4	W			Sommaire du Match
53 - 2018-12-05	527	Philadelphie	1	Montreal	2	W			Sommaire du Match
56 - 2018-12-08	541	Montreal	2	Tampa Bay	3	L	X	X	Sommaire du Match
57 - 2018-12-09	558	NY Islanders	4	Montreal	3	L			Sommaire du Match
59 - 2018-12-11	573	Montreal	1	Tampa Bay	2	L	X	X	Sommaire du Match
60 - 2018-12-12	581	Montreal	1	Vancouver	3	L			Sommaire du Match
61 - 2018-12-13	592	Calgary	-	Montreal	-
64 - 2018-12-16	621	Anaheim	-	Montreal	-
65 - 2018-12-17	637	Montreal	-	Buffalo	-
67 - 2018-12-19	652	San Jose	-	Montreal	-
69 - 2018-12-21	668	Montreal	-	Anaheim	-
70 - 2018-12-22	683	Toronto	-	Montreal	-
72 - 2018-12-24	695	Montreal	-	Detroit	-
73 - 2018-12-25	713	Edmonton	-	Montreal	-
76 - 2018-12-28	735	Montreal	-	Vegas	-
77 - 2018-12-29	745	Chicago	-	Montreal	-
78 - 2018-12-30	761	Montreal	-	Boston	-
80 - 2019-01-01	776	Columbus	-	Montreal	-
82 - 2019-01-03	794	Montreal	-	Vegas	-
83 - 2019-01-04	807	Boston	-	Montreal	-
85 - 2019-01-06	825	Montreal	-	Buffalo	-
86 - 2019-01-07	838	Caroline	-	Montreal	-
88 - 2019-01-09	857	Montreal	-	Arizona	-
89 - 2019-01-10	869	Floride	-	Montreal	-
91 - 2019-01-12	882	Montreal	-	Columbus	-
93 - 2019-01-14	899	Montreal	-	Ottawa	-
94 - 2019-01-15	906	NY Rangers	-	Montreal	-
95 - 2019-01-16	928	Arizona	-	Montreal	-
98 - 2019-01-19	948	Montreal	-	Washington	-
99 - 2019-01-20	963	Washington	-	Montreal	-
100 - 2019-01-21	974	Montreal	-	San Jose	-
102 - 2019-01-23	989	Montreal	-	Philadelphie	-
103 - 2019-01-24	995	Minnesota	-	Montreal	-
106 - 2019-01-27	1024	Floride	-	Montreal	-
107 - 2019-01-28	1033	Montreal	-	Colorado	-
109 - 2019-01-30	1055	Los Angeles	-	Montreal	-
110 - 2019-01-31	1068	Montreal	-	Minnesota	-
111 - 2019-02-01	1079	Montreal	-	NY Islanders	-
113 - 2019-02-03	1090	Nashville	-	Montreal	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
115 - 2019-02-05	1115	Boston	-	Montreal	-
116 - 2019-02-06	1127	Montreal	-	St. Louis	-
119 - 2019-02-09	1148	Ottawa	-	Montreal	-
120 - 2019-02-10	1163	Montreal	-	Floride	-
122 - 2019-02-12	1178	Winnipeg	-	Montreal	-
123 - 2019-02-13	1183	Montreal	-	Floride	-
126 - 2019-02-16	1210	Winnipeg	-	Montreal	-
127 - 2019-02-17	1225	Montreal	-	Nashville	-
129 - 2019-02-19	1241	New Jersey	-	Montreal	-
130 - 2019-02-20	1242	Montreal	-	Chicago	-
131 - 2019-02-21	1244	Montreal	-	Detroit	-
132 - 2019-02-22	1246	Montreal	-	Dallas	-
133 - 2019-02-23	1255	Montreal	-	Caroline	-

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	102,292	85,767	43,597	72,495	29,459
Attendance PCT	76.91%	75.23%	76.49%	76.31%	77.52%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
22	17558 - 76.34%	1,628,488$	30,941,265$	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
31,834,995$	68,750,000$	68,275,000$	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
509,259$	31,612,785$	0$	20	1

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
35,826,728$	75	512,963$	38,472,225$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
39,570,891$	69,807,210$	23,796,425$	20,052,262$

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:52
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
Evan Campbell	AGE:24	PO:0	OV:52
Christophe Lalancette	AGE:24	PO:0	OV:51

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:69
*Samuel Girard	AGE:19	PO:0	OV:65

*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

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
2028	36	23	10	0	0	0	1	2	123	94	29	19	15	4	0	0	0	0	0	68	48	20	17	8	6	0	0	0	1	2	55	46	9	50	123	211	334	3	0	38	41	43	3	1173	418	360	393	10	1114	364	230	740	156	30	19.23%	96	23	76.04%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	793	452	734	329	646	331
Total Saison Régulière	36	23	10	0	0	0	1	2	123	94	29	19	15	4	0	0	0	0	0	68	48	20	17	8	6	0	0	0	1	2	55	46	9	50	123	211	334	3	0	38	41	43	3	1173	418	360	393	10	1114	364	230	740	156	30	19.23%	96	23	76.04%	0	440	872	50.46%	425	830	51.20%	274	522	52.49%	793	452	734	329	646	331
Séries
2027	5	1	4	0	0	0	0	0	12	15	-3	3	1	2	0	0	0	0	0	10	11	-1	2	0	2	0	0	0	0	0	2	4	-2	2	12	20	32	0	0	3	4	5	0	140	38	37	62	3	170	78	30	113	14	3	21.43%	15	2	86.67%	0	48	114	42.11%	65	116	56.03%	36	65	55.38%	107	58	117	47	93	47
Total Séries	5	1	4	0	0	0	0	0	12	15	-3	3	1	2	0	0	0	0	0	10	11	-1	2	0	2	0	0	0	0	0	2	4	-2	2	12	20	32	0	0	3	4	5	0	140	38	37	62	3	170	78	30	113	14	3	21.43%	15	2	86.67%	0	48	114	42.11%	65	116	56.03%	36	65	55.38%	107	58	117	47	93	47

Back to the Top