Ligue de hockey Simulée Ste-Flanelle

Monsters
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
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	Vladimir Tarasenko			X		100.00	55	43	84	84	75	77	94	80	35	77	83	65	51	48	42	0	85	72	0
2	David Krejci (C)	X				100.00	52	35	84	81	58	79	80	77	85	83	71	68	50	69	62	0	85	71	0
3	Logan Couture (A)	X				100.00	58	43	87	75	69	78	75	77	83	78	75	70	63	61	52	0	73	71	0
4	Tomas Plekanec	X				100.00	57	43	83	80	66	77	95	73	84	77	69	69	56	72	63	0	79	71	0
5	Loui Eriksson		X	X		100.00	53	43	90	78	58	79	95	74	41	74	74	75	42	64	54	0	83	70	0
6	Shane Doan			X		100.00	64	50	68	75	77	77	91	69	62	64	74	64	50	87	76	0	81	70	0
7	Carl Hagelin		X			100.00	58	43	84	77	58	71	95	64	35	62	66	74	45	58	52	0	82	66	0
8	Darren Helm	X	X	X		100.00	63	35	86	74	67	71	93	61	86	57	65	73	50	63	58	0	85	66	0
9	Gustav Nyquist		X	X		100.00	53	35	85	81	56	71	95	69	35	67	71	61	46	48	43	0	85	66	0
10	Antoine Roussel		X			100.00	71	67	60	73	69	65	94	58	38	54	62	74	56	45	39	0	86	63	0
11	Jay McClement	X				100.00	55	50	87	68	71	65	94	53	88	51	54	73	45	64	54	0	79	62	0
12	Anthony Duclair		X	X		100.00	50	43	81	79	57	61	60	62	35	59	65	66	64	35	32	0	77	60	0
13	Oliver Ekman-Larsson				X	100.00	75	43	71	81	66	86	93	69	35	69	68	76	45	53	44	0	82	71	0
14	Erik Johnson (A)				X	100.00	74	43	79	68	80	83	82	58	35	56	60	80	45	57	47	0	80	69	0
15	Jay Bouwmeester				X	100.00	62	43	87	69	70	82	90	52	35	56	47	83	48	71	60	0	82	69	0
16	Sami Vatanen				X	100.00	63	35	86	78	56	76	79	65	35	70	59	79	56	44	41	0	85	67	0
17	Seth Jones				X	100.00	63	43	88	69	69	79	95	56	35	62	49	76	56	47	37	0	81	66	0
18	Olli Maatta				X	100.00	62	43	86	68	68	74	72	52	35	53	51	81	48	47	42	0	88	64	0
Rayé
1	Bo Horvat	X				100.00	60	35	88	75	71	64	70	60	84	57	62	71	42	36	33	0	51	62	0

	MOYENNE D'ÉQUIPE					100.00	60	43	82	75	66	74	86	65	53	65	64	73	50	56	49	0	80	67

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	Carey Price	100.00	94	56	97	82	94	94	94	94	93	81	93	62	54	0	80	83	0
2	Karri Ramo	100.00	59	45	91	77	60	59	60	60	57	75	70	47	43	0	80	61	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	77	51	94	80	77	77	77	77	75	78	82	55	49	0	80	72

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jon Cooper	87	95	90	90	77	86	87	CAN	37	2	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	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Vladimir Tarasenko	Colorado	RW	80	43	53	96	19	61	15	112	97	329	0	13.07%	9	1618	20.23	12	17	29	87	400	0	0	0	0	0	6	3	32.54%	126	0	1	0	1.19	4	9	1	0	2	11	5	7
2	David Krejci	Colorado	C	82	24	57	81	9	40	0	59	157	217	0	11.06%	8	1414	17.25	11	22	33	72	378	0	0	0	1	18	8	2	52.20%	1751	0	0	0	1.15	0	0	0	0	0	5	5	4
3	Logan Couture	Colorado	C	73	26	49	75	22	69	5	127	139	211	0	12.32%	4	1458	19.98	8	16	24	71	346	0	0	0	0	1	4	0	52.72%	1912	0	0	1	1.03	3	5	0	0	0	5	6	4
4	Loui Eriksson	Colorado	LW/RW	80	26	47	73	18	45	5	65	116	245	0	10.61%	15	1636	20.46	5	22	27	71	393	1	0	1	5	73	5	3	35.00%	120	0	0	0	0.89	0	0	0	0	1	3	9	5
5	Oliver Ekman-Larsson	Colorado	D	82	22	50	72	16	112	20	175	85	175	0	12.57%	76	1897	23.14	9	17	26	103	404	0	0	0	0	127	5	0	0.00%	0	0	0	0	0.76	0	0	0	1	3	6	6	2
6	Sami Vatanen	Colorado	D	82	14	48	62	10	72	0	106	85	127	0	11.02%	74	1845	22.51	9	18	27	88	405	0	1	1	0	290	0	1	0.00%	0	0	0	0	0.67	3	4	0	0	0	1	3	0
7	Tomas Plekanec	Colorado	C	85	21	32	53	-3	46	10	84	164	205	0	10.24%	6	1294	15.23	5	14	19	51	279	0	0	0	1	5	2	1	52.28%	1559	0	1	1	0.82	0	8	0	0	1	2	3	4
8	Gustav Nyquist	Colorado	LW/RW	82	25	23	48	13	18	0	63	64	143	0	17.48%	7	1328	16.20	8	11	19	51	379	0	0	0	0	3	5	2	25.27%	91	0	0	1	0.72	0	0	0	0	0	2	2	3
9	Erik Johnson	Colorado	D	80	16	24	40	13	110	20	104	64	113	0	14.16%	90	1936	24.20	11	10	21	67	323	0	2	2	1	310	1	0	0.00%	0	0	0	0	0.41	0	0	1	0	3	0	0	3
10	Darren Helm	Colorado	C/LW/RW	82	18	18	36	16	24	0	62	68	123	0	14.63%	8	1027	12.53	1	1	2	6	43	1	1	2	10	235	1	1	49.57%	234	0	0	0	0.70	0	0	0	0	0	5	2	1
11	Seth Jones	Colorado	D	81	10	25	35	26	73	15	83	34	79	0	12.66%	44	1344	16.59	8	4	12	64	364	0	1	1	0	47	3	0	0.00%	0	0	0	0	0.52	0	1	0	1	1	0	1	4
12	Shane Doan	Colorado	RW	73	17	16	33	12	93	35	143	54	144	0	11.81%	3	1102	15.10	4	2	6	40	306	0	0	0	2	55	3	0	45.35%	86	0	0	1	0.60	0	0	3	1	3	2	0	2
13	Carl Hagelin	Colorado	LW	81	15	12	27	16	64	10	86	84	121	0	12.40%	8	1244	15.36	0	1	1	4	23	0	0	0	10	366	3	1	27.50%	80	0	0	0	0.43	0	0	1	0	0	1	1	2
14	Jay Bouwmeester	Colorado	D	82	0	25	25	22	74	10	85	66	31	0	0.00%	97	1449	17.67	0	1	1	6	50	0	1	1	1	334	0	0	0.00%	0	0	0	0	0.35	0	0	0	1	1	0	0	0
15	Olli Maatta	Colorado	D	82	5	17	22	21	83	15	83	59	31	0	16.13%	83	1415	17.26	0	2	2	4	44	0	1	1	2	290	1	0	0.00%	0	0	0	0	0.31	0	0	2	0	1	0	1	3
16	Antoine Roussel	Colorado	LW	80	10	11	21	14	73	5	92	36	89	0	11.24%	8	666	8.33	0	0	0	1	6	2	0	2	6	123	1	3	28.57%	70	0	0	0	0.63	0	0	1	0	0	2	2	0
17	Anthony Duclair	Colorado	LW/RW	65	6	11	17	7	0	0	11	27	57	0	10.53%	1	479	7.38	0	4	4	9	80	0	0	0	0	11	0	1	23.08%	26	0	0	0	0.71	1	7	0	0	0	0	1	2
18	Jay McClement	Colorado	C	79	4	7	11	19	42	20	20	124	37	0	10.81%	10	966	12.23	0	0	0	0	0	0	0	0	0	375	1	0	52.51%	1373	0	0	0	0.23	0	0	1	2	1	1	0	0
19	Bo Horvat	Colorado	C	48	1	1	2	-4	20	0	14	27	26	0	3.85%	1	380	7.92	0	0	0	0	4	0	0	0	3	48	0	0	52.02%	346	0	0	0	0.11	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne			1479	303	526	829	266	1119	185	1574	1550	2503	0	12.11%	552	24504	16.57	91	162	253	795	4234	4	7	11	42	2719	49	18	50.77%	7774	0	2	4	0.68	11	34	10	6	17	46	47	46

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	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Carey Price	Colorado	70	46	19	4	0.905	2.37	4174	8	2	165	1746	0	4	1	0.826	23	69	11	7	3	2
2	Karri Ramo	Colorado	14	7	4	1	0.856	3.27	733	2	0	40	278	0	1	0	0.571	7	12	68	0	0	0
Stats d'équipe Total ou en Moyenne		84	53	23	5	0.899	2.51	4908	10	2	205	2024	0	5	1	0.767	30	81	79	7	3	2

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	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Link
Anthony Duclair	Colorado	LW/RW	20	1995-08-26	No	185 Lbs	5 ft11	No	No	3	Contrat d'Entrée	Pro & Farm	743,000$	743,000$	743,000$				Lien
Antoine Roussel	Colorado	LW	25	1989-11-21	No	200 Lbs	6 ft0	No	No	1	Avec Restriction	Pro & Farm	600,000$						Lien
Bo Horvat	Colorado	C	20	1995-04-05	No	206 Lbs	6 ft0	No	No	3	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	925,000$				Lien
Carey Price	Colorado	G	28	1987-08-16	No	216 Lbs	6 ft3	No	No	6	Avec Restriction	Pro & Farm	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$	Lien
Carl Hagelin	Colorado	LW	27	1988-08-23	No	186 Lbs	5 ft11	No	No	6	Avec Restriction	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	Lien
Darren Helm	Colorado	C/LW/RW	28	1987-01-21	No	196 Lbs	6 ft0	No	No	2	Avec Restriction	Pro & Farm	1,750,000$	1,750,000$					Lien
David Krejci	Colorado	C	29	1986-04-28	No	186 Lbs	6 ft0	No	No	1	Avec Restriction	Pro & Farm	4,500,000$						Lien
Erik Johnson	Colorado	D	27	1988-03-21	No	232 Lbs	6 ft4	No	No	2	Avec Restriction	Pro & Farm	3,200,000$	3,200,000$					Lien
Gustav Nyquist	Colorado	LW/RW	26	1989-09-01	No	183 Lbs	5 ft11	No	No	6	Avec Restriction	Pro & Farm	4,500,000$	3,700,000$	3,700,000$	3,500,000$	3,500,000$	3,500,000$	Lien
Jay Bouwmeester	Colorado	D	32	1983-09-27	No	212 Lbs	6 ft4	No	No	1	Sans Restriction	Pro & Farm	4,200,000$						Lien
Jay McClement	Colorado	C	32	1983-03-02	No	205 Lbs	6 ft1	No	No	4	Sans Restriction	Pro & Farm	1,200,000$	1,100,000$	1,000,000$	1,000,000$			Lien
Karri Ramo	Colorado	G	29	1986-07-01	No	206 Lbs	6 ft2	No	No	4	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	1,500,000$			Lien
Logan Couture	Colorado	C	26	1989-03-28	No	200 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	3,500,000$	3,500,000$					Lien
Loui Eriksson	Colorado	LW/RW	30	1985-07-17	No	183 Lbs	6 ft2	No	No	4	Sans Restriction	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	3,750,000$			Lien
Oliver Ekman-Larsson	Colorado	D	24	1991-07-17	No	200 Lbs	6 ft2	No	No	3	Avec Restriction	Pro & Farm	3,500,000$	3,500,000$	3,500,000$				Lien
Olli Maatta	Colorado	D	21	1994-08-22	No	206 Lbs	6 ft2	No	No	2	Contrat d'Entrée	Pro & Farm	925,000$	925,000$					Lien
Sami Vatanen	Colorado	D	24	1991-06-03	No	183 Lbs	5 ft10	No	No	1	Avec Restriction	Pro & Farm	840,000$						Lien
Seth Jones	Colorado	D	21	1994-10-03	No	208 Lbs	6 ft4	No	No	2	Contrat d'Entrée	Pro & Farm	925,000$	925,000$					Lien
Shane Doan	Colorado	RW	38	1976-10-10	No	223 Lbs	6 ft1	No	No	1	Sans Restriction	Pro & Farm	5,500,000$						Lien
Tomas Plekanec	Colorado	C	32	1982-10-31	No	195 Lbs	5 ft11	No	No	2	Sans Restriction	Pro & Farm	3,900,000$	4,200,000$					Lien
Vladimir Tarasenko	Colorado	RW	23	1991-12-13	No	219 Lbs	6 ft0	No	No	1	Avec Restriction	Pro & Farm	900,000$						Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	26.76	201 Lbs	6 ft1	2.71	2,636,095$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
55,358,000$	38,218,000$	23,618,000$	18,250,000$	12,000,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Loui Eriksson	Logan Couture	Vladimir Tarasenko	40	1	2	2
2	Gustav Nyquist	David Krejci	Shane Doan	30	1	2	2
3	Carl Hagelin	Tomas Plekanec	Darren Helm	20	1	2	2
4	Antoine Roussel	Jay McClement	Anthony Duclair	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Oliver Ekman-Larsson	Erik Johnson	40	1	2	2
2	Olli Maatta	Sami Vatanen	30	1	2	2
3	Jay Bouwmeester	Seth Jones	20	1	2	2
4	Oliver Ekman-Larsson	Erik Johnson	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Loui Eriksson	David Krejci	Vladimir Tarasenko	55	1	1	3
2	Gustav Nyquist	Logan Couture	Shane Doan	45	1	1	3

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Oliver Ekman-Larsson	Sami Vatanen	60	1	2	2
2	Erik Johnson	Seth Jones	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jay McClement	Loui Eriksson	60	1	3	1
2	Darren Helm	Carl Hagelin	40	1	3	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jay Bouwmeester	Erik Johnson	60	1	4	0
2	Olli Maatta	Sami Vatanen	40	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Jay McClement	60	0	4	1	Jay Bouwmeester	Erik Johnson	60	0	4	1
2	Darren Helm	40	0	4	1	Olli Maatta	Sami Vatanen	40	0	4	1

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Logan Couture	Vladimir Tarasenko	60	1	2	2
2	David Krejci	Loui Eriksson	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Oliver Ekman-Larsson	Erik Johnson	60	1	2	2
2	Olli Maatta	Sami Vatanen	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Loui Eriksson	Logan Couture	Vladimir Tarasenko	Oliver Ekman-Larsson	Sami Vatanen

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Carl Hagelin	Jay McClement	Loui Eriksson	Jay Bouwmeester	Erik Johnson

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Logan Couture, David Krejci, Tomas Plekanec	Shane Doan, Carl Hagelin	Loui Eriksson

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Oliver Ekman-Larsson, Jay Bouwmeester, Olli Maatta	Olli Maatta	Oliver Ekman-Larsson, Seth Jones

Tirs de Pénalité
Anthony Duclair, Vladimir Tarasenko, Tomas Plekanec, Sami Vatanen, Seth Jones

Gardien
#1 : Carey Price, #2 : Karri Ramo

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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
Anaheim	3	2	1	0	0	0	0	0	12	7	5	1	1	0	0	0	0	0	0	3	1	2	2	1	1	0	0	0	0	0	9	6	3	4	0.667	12	22	34	0	0	3	4	5	0	76	26	22	28	0	80	25	34	49	18	2	11.11%	16	0	100.00%	1	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	74	52	67	21	37	19
Atlanta	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	3	5	8	0	0	1	1	1	0	35	13	11	11	0	60	21	38	49	7	1	14.29%	17	3	82.35%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	37	23	57	15	24	11
Boston	2	2	0	0	0	0	0	0	10	7	3	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	10	17	27	0	0	3	5	2	0	73	25	31	17	0	50	13	29	40	10	0	0.00%	12	1	91.67%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	49	33	43	14	26	14
Buffalo	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	4	5	9	0	0	2	0	2	0	56	25	19	12	0	45	9	18	38	11	1	9.09%	8	0	100.00%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	48	32	46	15	25	12
Calgary	3	1	2	0	0	0	0	0	6	8	-2	1	0	1	0	0	0	0	0	1	2	-1	2	1	1	0	0	0	0	0	5	6	-1	2	0.333	6	11	17	0	0	1	4	1	0	76	15	33	28	0	81	23	48	58	13	2	15.38%	16	4	75.00%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	72	49	68	23	38	18
Philadelphie	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	7	2	5	4	1.000	9	17	26	0	0	4	3	2	0	50	20	12	18	0	41	14	34	34	11	1	9.09%	10	0	100.00%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	51	35	44	15	24	12
Chicago	5	1	2	0	0	0	2	0	12	10	2	2	0	2	0	0	0	0	0	2	4	-2	3	1	0	0	0	0	2	0	10	6	4	6	0.600	12	16	28	0	0	3	3	4	3	146	56	42	45	10	124	33	63	82	38	4	10.53%	28	5	82.14%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	131	92	115	40	62	31
Kansas City	5	3	2	0	0	0	0	0	14	13	1	2	1	1	0	0	0	0	0	3	5	-2	3	2	1	0	0	0	0	0	11	8	3	6	0.600	14	23	37	0	0	6	4	4	0	155	48	56	51	0	129	24	92	105	32	4	12.50%	26	2	92.31%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	128	88	109	36	62	31
Detroit	2	0	1	0	0	0	0	1	5	8	-3	1	0	1	0	0	0	0	0	2	4	-2	1	0	0	0	0	0	0	1	3	4	-1	1	0.250	5	9	14	0	0	3	0	2	1	53	16	11	24	5	66	15	27	38	9	0	0.00%	8	2	75.00%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	49	33	49	15	26	13
Edmonton	3	1	2	0	0	0	0	0	8	14	-6	2	0	2	0	0	0	0	0	4	11	-7	1	1	0	0	0	0	0	0	4	3	1	2	0.333	8	15	23	0	0	1	3	4	0	74	24	18	32	0	73	18	45	53	17	3	17.65%	19	5	73.68%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	71	47	68	23	40	19
Islanders	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	4	1	3	4	1.000	10	19	29	0	0	5	3	2	0	64	25	12	27	0	44	22	25	41	13	1	7.69%	8	1	87.50%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	46	31	47	15	25	13
LA Kings	3	2	0	0	0	0	0	1	9	6	3	2	1	0	0	0	0	0	1	5	5	0	1	1	0	0	0	0	0	0	4	1	3	5	0.833	9	16	25	0	0	2	1	6	0	87	26	26	33	5	64	15	20	53	16	3	18.75%	10	2	80.00%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	81	55	61	21	42	22
Minnesota	5	2	1	0	0	1	0	1	13	10	3	2	1	1	0	0	0	0	0	4	2	2	3	1	0	0	0	1	0	1	9	8	1	6	0.600	13	24	37	0	1	4	4	5	0	144	49	46	45	7	132	42	55	79	34	8	23.53%	20	3	85.00%	1	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	125	84	115	36	64	33
Hartford	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	7	11	18	1	0	1	3	3	0	52	16	21	15	0	62	17	16	48	7	1	14.29%	8	0	100.00%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	45	30	48	15	26	13
Ottawa	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	13	20	0	0	4	1	2	0	75	28	20	27	0	44	9	40	40	15	3	20.00%	14	1	92.86%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	50	34	43	14	26	14
Pittsburgh	2	2	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	5	1	4	4	1.000	9	16	25	0	0	1	5	3	0	56	17	22	17	0	44	16	26	31	13	3	23.08%	12	1	91.67%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	46	32	47	16	25	12
Rangers	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	4	8	12	0	0	2	0	2	0	70	22	26	22	0	41	15	30	33	11	0	0.00%	10	2	80.00%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	53	36	42	15	24	12
San Jose	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	3	1	2	2	0.500	6	11	17	0	0	4	0	2	0	70	22	18	30	0	39	11	23	26	10	2	20.00%	7	1	85.71%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	55	39	40	14	24	12
St-Louis	5	2	2	0	0	0	1	0	19	18	1	3	0	2	0	0	0	1	0	9	11	-2	2	2	0	0	0	0	0	0	10	7	3	6	0.600	19	33	52	0	0	3	8	7	1	119	36	43	39	7	158	32	60	93	31	8	25.81%	24	5	79.17%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	115	78	123	39	65	31
Tampa Bay	2	1	0	0	0	0	1	0	5	3	2	1	0	0	0	0	0	1	0	3	2	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	5	8	13	0	0	1	1	2	2	48	12	17	17	6	52	11	21	50	11	1	9.09%	8	0	100.00%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	48	32	47	14	28	14
Toronto	2	0	0	0	1	0	1	0	9	7	2	1	0	0	0	1	0	0	0	5	4	1	1	0	0	0	0	0	1	0	4	3	1	4	1.000	9	14	23	0	0	6	0	1	3	54	26	17	8	6	54	13	31	37	12	2	16.67%	13	3	76.92%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	52	36	47	15	26	14
Vancouver	3	2	1	0	0	0	0	0	15	8	7	2	2	0	0	0	0	0	0	11	3	8	1	0	1	0	0	0	0	0	4	5	-1	4	0.667	15	26	41	0	0	4	8	3	0	104	29	37	38	0	50	19	37	54	25	8	32.00%	15	4	73.33%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	79	55	63	22	37	20
Quebec	2	2	0	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	5	4	1	4	1.000	8	15	23	0	0	2	3	3	0	44	12	17	15	0	53	11	30	31	9	3	33.33%	15	3	80.00%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	49	33	44	14	25	12
Winnipeg	5	2	2	0	0	0	1	0	25	21	4	3	1	1	0	0	0	1	0	13	10	3	2	1	1	0	0	0	0	0	12	11	1	6	0.600	25	41	66	0	0	9	3	12	2	154	46	48	57	5	120	27	60	89	30	4	13.33%	30	4	86.67%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	137	97	102	35	64	33
Nashville	3	2	1	0	0	0	0	0	11	6	5	1	1	0	0	0	0	0	0	4	2	2	2	1	1	0	0	0	0	0	7	4	3	4	0.667	11	20	31	0	0	5	2	4	0	92	33	22	37	0	104	16	39	65	19	2	10.53%	17	1	94.12%	1	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	73	48	69	25	37	19
Montreal	2	0	0	0	1	1	0	0	6	6	0	1	0	0	0	0	1	0	0	3	4	-1	1	0	0	0	1	0	0	0	3	2	1	3	0.750	6	9	15	0	0	2	0	3	1	60	18	14	21	7	68	17	22	44	7	2	28.57%	11	4	63.64%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	47	33	50	15	26	13
Washington	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	3	2	1	4	1.000	9	14	23	0	0	4	4	1	0	60	16	26	18	0	42	9	37	32	9	4	44.44%	10	1	90.00%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	54	38	38	14	26	13
Caroline	2	2	0	0	0	0	0	0	11	2	9	1	1	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	4	0	4	4	1.000	11	21	32	0	1	8	1	2	0	71	25	27	19	0	43	15	29	43	15	4	26.67%	11	2	81.82%	0	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	54	37	41	14	24	13
Las Vegas	5	5	0	0	0	0	0	0	25	10	15	3	3	0	0	0	0	0	0	16	5	11	2	2	0	0	0	0	0	0	9	5	4	10	1.000	25	46	71	0	1	11	7	7	0	165	47	51	67	0	93	38	70	76	37	9	24.32%	23	5	78.26%	2	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	138	100	97	36	63	35
Vs Division	30	15	9	0	0	1	4	1	108	82	26	15	6	7	0	0	0	2	0	47	37	10	15	9	2	0	0	1	2	1	61	45	16	40	0.667	108	183	291	0	2	36	29	39	6	883	282	286	304	29	756	196	400	524	202	37	18.32%	151	24	84.11%	3	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	778	543	664	225	382	196
Vs Conference	50	26	17	0	0	1	4	2	175	137	38	25	11	11	0	0	0	2	1	78	66	12	25	15	6	0	0	1	2	1	97	71	26	63	0.630	175	304	479	0	2	56	51	64	6	1462	457	462	530	34	1247	323	646	882	320	59	18.44%	251	41	83.67%	5	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	1286	892	1102	377	641	329
Since Last GM Reset	82	46	23	0	2	2	6	3	291	213	78	41	22	13	0	1	1	3	1	140	103	37	41	24	10	0	1	1	3	2	151	110	41	113	0.689	291	505	796	1	3	105	81	97	13	2383	773	765	818	58	2056	550	1099	1511	490	86	17.55%	426	65	84.74%	5	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	2073	1428	1842	619	1055	541
Total	82	46	23	0	2	2	6	3	291	213	78	41	22	13	0	1	1	3	1	140	103	37	41	24	10	0	1	1	3	2	151	110	41	113	0.689	291	505	796	1	3	105	81	97	13	2383	773	765	818	58	2056	550	1099	1511	490	86	17.55%	426	65	84.74%	5	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	2073	1428	1842	619	1055	541

			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
82	113	W1	291	505	796	2383	2056	550	1099	1511	1	3

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	46	23	2	2	6	3	291	213

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	22	13	1	1	3	1	140	103

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	24	10	1	1	3	2	151	110

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	4	0	0	1	1

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
490	86	17.55%	426	65	84.74%	5

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
773	765	818	58	105	81	97	13

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
1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%

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
2073	1428	1842	619	1055	541

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
4 - 2016-10-15	28	Kansas City	2	Colorado	3	W			Sommaire du Match
6 - 2016-10-17	34	Colorado	5	Pittsburgh	1	W			Sommaire du Match
7 - 2016-10-18	40	Colorado	3	Washington	2	W			Sommaire du Match
9 - 2016-10-20	55	Colorado	2	Tampa Bay	1	W			Sommaire du Match
11 - 2016-10-22	65	Colorado	5	Quebec	4	W			Sommaire du Match
17 - 2016-10-28	109	Winnipeg	1	Colorado	5	W			Sommaire du Match
18 - 2016-10-29	118	Colorado	5	Nashville	1	W			Sommaire du Match
21 - 2016-11-01	136	Las Vegas	4	Colorado	5	W			Sommaire du Match
23 - 2016-11-03	157	Colorado	2	Chicago	1	W	X	X	Sommaire du Match
25 - 2016-11-05	161	Minnesota	0	Colorado	4	W			Sommaire du Match
26 - 2016-11-06	175	Colorado	4	St-Louis	3	W			Sommaire du Match
28 - 2016-11-08	192	Nashville	2	Colorado	4	W			Sommaire du Match
31 - 2016-11-11	210	Winnipeg	6	Colorado	4	L			Sommaire du Match
33 - 2016-11-13	227	Boston	4	Colorado	5	W			Sommaire du Match
35 - 2016-11-15	238	LA Kings	3	Colorado	2	L	X	X	Sommaire du Match
37 - 2016-11-17	249	Colorado	6	Kansas City	4	W			Sommaire du Match
39 - 2016-11-19	262	Colorado	1	Minnesota	2	L	X		Sommaire du Match
41 - 2016-11-21	278	Colorado	2	Atlanta	3	L			Sommaire du Match
43 - 2016-11-23	296	Edmonton	6	Colorado	3	L			Sommaire du Match
46 - 2016-11-26	319	Vancouver	2	Colorado	5	W			Sommaire du Match
49 - 2016-11-29	337	Las Vegas	0	Colorado	4	W			Sommaire du Match
51 - 2016-12-01	354	Atlanta	3	Colorado	1	L			Sommaire du Match
53 - 2016-12-03	364	Kansas City	3	Colorado	0	L			Sommaire du Match
56 - 2016-12-06	385	Colorado	4	Las Vegas	2	W			Sommaire du Match
58 - 2016-12-08	395	Colorado	5	Boston	3	W			Sommaire du Match
60 - 2016-12-10	420	Colorado	3	Montreal	2	W	X		Sommaire du Match
61 - 2016-12-11	425	Colorado	4	Toronto	3	W	X	X	Sommaire du Match
64 - 2016-12-14	444	Philadelphie	1	Colorado	2	W			Sommaire du Match
66 - 2016-12-16	456	Quebec	2	Colorado	3	W			Sommaire du Match
68 - 2016-12-18	474	Colorado	4	Winnipeg	5	L			Sommaire du Match
70 - 2016-12-20	488	Colorado	4	Minnesota	1	W			Sommaire du Match
72 - 2016-12-22	503	Toronto	4	Colorado	5	W	X		Sommaire du Match
73 - 2016-12-23	516	Colorado	5	Chicago	3	W			Sommaire du Match
77 - 2016-12-27	524	Calgary	2	Colorado	1	L			Sommaire du Match
79 - 2016-12-29	540	Colorado	4	Kansas City	1	W			Sommaire du Match
81 - 2016-12-31	548	Rangers	1	Colorado	2	W			Sommaire du Match
83 - 2017-01-02	564	Colorado	4	Vancouver	5	L			Sommaire du Match
85 - 2017-01-04	572	Colorado	0	Calgary	4	L			Sommaire du Match
87 - 2017-01-06	588	Islanders	3	Colorado	6	W			Sommaire du Match
93 - 2017-01-12	630	Anaheim	1	Colorado	3	W			Sommaire du Match
95 - 2017-01-14	641	Las Vegas	1	Colorado	7	W			Sommaire du Match
98 - 2017-01-17	668	Chicago	2	Colorado	1	L			Sommaire du Match
100 - 2017-01-19	683	Colorado	5	Anaheim	1	W			Sommaire du Match
102 - 2017-01-21	700	Colorado	3	San Jose	1	W			Sommaire du Match
104 - 2017-01-23	709	San Jose	5	Colorado	3	L			Sommaire du Match
106 - 2017-01-25	726	Vancouver	1	Colorado	6	W			Sommaire du Match
112 - 2017-01-31	744	Colorado	4	Anaheim	5	L			Sommaire du Match
113 - 2017-02-01	757	Colorado	4	LA Kings	1	W			Sommaire du Match
116 - 2017-02-04	773	Winnipeg	3	Colorado	4	W	X	X	Sommaire du Match
119 - 2017-02-07	800	Montreal	4	Colorado	3	L	X		Sommaire du Match
121 - 2017-02-09	804	Pittsburgh	1	Colorado	4	W			Sommaire du Match
123 - 2017-02-11	823	Colorado	2	Rangers	4	L			Sommaire du Match
124 - 2017-02-12	830	Colorado	4	Islanders	1	W			Sommaire du Match
126 - 2017-02-14	836	Colorado	1	Hartford	3	L			Sommaire du Match
128 - 2017-02-16	854	Colorado	1	Buffalo	4	L			Sommaire du Match
129 - 2017-02-17	856	Colorado	4	Caroline	0	W			Sommaire du Match
131 - 2017-02-19	873	Tampa Bay	2	Colorado	3	W	X	X	Sommaire du Match
133 - 2017-02-21	890	LA Kings	2	Colorado	3	W			Sommaire du Match
135 - 2017-02-23	897	Colorado	5	Las Vegas	3	W			Sommaire du Match
137 - 2017-02-25	911	Buffalo	1	Colorado	3	W			Sommaire du Match
140 - 2017-02-28	928	Colorado	7	Philadelphie	2	W			Sommaire du Match
142 - 2017-03-02	942	Colorado	3	Ottawa	2	W			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2017-03-04	958	Colorado	8	Winnipeg	6	W			Sommaire du Match
145 - 2017-03-05	966	St-Louis	3	Colorado	2	L			Sommaire du Match
147 - 2017-03-07	978	Caroline	2	Colorado	7	W			Sommaire du Match
149 - 2017-03-09	985	Hartford	3	Colorado	6	W			Sommaire du Match
151 - 2017-03-11	1008	Ottawa	1	Colorado	4	W			Sommaire du Match
153 - 2017-03-13	1022	Colorado	2	Nashville	3	L			Sommaire du Match
155 - 2017-03-15	1035	Detroit	4	Colorado	2	L			Sommaire du Match
158 - 2017-03-18	1053	Colorado	3	Detroit	4	L	X	X	Sommaire du Match
159 - 2017-03-19	1063	Colorado	3	Chicago	2	W	X	X	Sommaire du Match
161 - 2017-03-21	1085	St-Louis	4	Colorado	2	L			Sommaire du Match
163 - 2017-03-23	1099	Edmonton	5	Colorado	1	L			Sommaire du Match
165 - 2017-03-25	1114	Colorado	4	Edmonton	3	W			Sommaire du Match
167 - 2017-03-27	1123	Colorado	5	Calgary	2	W			Sommaire du Match
169 - 2017-03-29	1139	Washington	1	Colorado	6	W			Sommaire du Match
171 - 2017-03-31	1153	St-Louis	4	Colorado	5	W	X	X	Sommaire du Match
173 - 2017-04-02	1171	Colorado	4	Minnesota	5	L	X	X	Sommaire du Match
175 - 2017-04-04	1183	Chicago	2	Colorado	1	L			Sommaire du Match
177 - 2017-04-06	1204	Minnesota	2	Colorado	0	L			Sommaire du Match
179 - 2017-04-08	1216	Colorado	1	Kansas City	3	L			Sommaire du Match
180 - 2017-04-09	1223	Colorado	6	St-Louis	4	W			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	6000	5000	2500	4000	1000
Prix des Billets	140	80	50	30	250
Assistance	205616	174735	99379	162066	41000
Attendance PCT	83.58%	85.24%	96.96%	98.82%	100.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	16654 - 90.02%	1,532,829$	62,845,970$	18500	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
55,358,000$	54,531,333$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
53,483,979$	305,845$	52,981,219$	0$

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	308,608$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	55,957,798$	128,435,235$	128,435,235$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Loui Eriksson	AGE:30	PO:0	OV:70
Carl Hagelin	AGE:27	PO:0	OV:66
Darren Helm	AGE:28	PO:0	OV:66
Gustav Nyquist	AGE:26	PO:0	OV:66
Antoine Roussel	AGE:25	PO:0	OV:63
Martin Erat	AGE:34	PO:0	OV:63
Anthony Duclair	AGE:20	PO:0	OV:60
Pierre-Edouard Bellemare	AGE:30	PO:0	OV:58
Cal O'Reilly	AGE:29	PO:0	OV:56
Tanner Glass	AGE:31	PO:0	OV:56
*Corban Knight	AGE:25	PO:0	OV:56
Lucas Lessio	AGE:22	PO:0	OV:54
Brandon Crombeen	AGE:30	PO:0	OV:52
Zach Sill	AGE:27	PO:0	OV:52
*Jakub Vrana	AGE:19	PO:0	OV:49
*Ivan Barbashev	AGE:19	PO:0	OV:45
Oscar Moller	AGE:26	PO:0	OV:42
*Nick Moutrey	AGE:20	PO:0	OV:42
Justin Florek	AGE:25	PO:0	OV:40
*Dmytro Timashov	AGE:19	PO:0	OV:39

David Krejci	AGE:29	PO:0	OV:71
Logan Couture	AGE:26	PO:0	OV:71
Tomas Plekanec	AGE:32	PO:0	OV:71
Darren Helm	AGE:28	PO:0	OV:66
Bo Horvat	AGE:20	PO:0	OV:62
Jay McClement	AGE:32	PO:0	OV:62
Pierre-Edouard Bellemare	AGE:30	PO:0	OV:58
Cal O'Reilly	AGE:29	PO:0	OV:56
*Corban Knight	AGE:25	PO:0	OV:56
Zach Sill	AGE:27	PO:0	OV:52
Colin White	AGE:18	PO:0	OV:49
*Ivan Barbashev	AGE:19	PO:0	OV:45
*Ryan Kujawinski	AGE:20	PO:0	OV:44
Kellan Lain	AGE:26	PO:0	OV:42
*Matt Buckles	AGE:20	PO:0	OV:42
*Nick Moutrey	AGE:20	PO:0	OV:42

Vladimir Tarasenko	AGE:23	PO:0	OV:72
Loui Eriksson	AGE:30	PO:0	OV:70
Shane Doan	AGE:38	PO:0	OV:70
Darren Helm	AGE:28	PO:0	OV:66
Gustav Nyquist	AGE:26	PO:0	OV:66
Martin Erat	AGE:34	PO:0	OV:63
Anthony Duclair	AGE:20	PO:0	OV:60
Steve Downie	AGE:28	PO:0	OV:58
Pierre-Edouard Bellemare	AGE:30	PO:0	OV:58
Tanner Glass	AGE:31	PO:0	OV:56
*Corban Knight	AGE:25	PO:0	OV:56
Lucas Lessio	AGE:22	PO:0	OV:54
Brandon Crombeen	AGE:30	PO:0	OV:52
Ryan Hartman	AGE:21	PO:0	OV:52
Colin White	AGE:18	PO:0	OV:49
*Jakub Vrana	AGE:19	PO:0	OV:49
Eriah Hayes	AGE:27	PO:0	OV:48
*Ryan Kujawinski	AGE:20	PO:0	OV:44
Oscar Moller	AGE:26	PO:0	OV:42
*Nick Moutrey	AGE:20	PO:0	OV:42

Défense #1

Défense #2

Gardien

Oliver Ekman-Larsson	AGE:24	PO:0	OV:71
Erik Johnson	AGE:27	PO:0	OV:69
Jay Bouwmeester	AGE:32	PO:0	OV:69
Sami Vatanen	AGE:24	PO:0	OV:67
Seth Jones	AGE:21	PO:0	OV:66
Olli Maatta	AGE:21	PO:0	OV:64
Nate Schmidt	AGE:24	PO:0	OV:60
Mark Fraser	AGE:29	PO:0	OV:58
Adam Clendening	AGE:22	PO:0	OV:55

*Slater Koekkoek	AGE:21	PO:0	OV:52
Erik Gustafsson	AGE:26	PO:0	OV:47
*Carl Dahlstrom	AGE:20	PO:0	OV:46
*Dominik Masin	AGE:19	PO:0	OV:46
*Niklas Hansson	AGE:20	PO:0	OV:43
*Mason Geertsen	AGE:20	PO:0	OV:42
*Anton Cederholm	AGE:20	PO:0	OV:40
*Teemu Kivihalme	AGE:20	PO:0	OV:38

Carey Price	AGE:28	PO:0	OV:83
Karri Ramo	AGE:29	PO:0	OV:61
Anders Nilsson	AGE:25	PO:0	OV:54
Joacim Eriksson	AGE:25	PO:0	OV:44
Konstantin Barulin	AGE:31	PO:0	OV:44
*Calvin Petersen	AGE:20	PO:0	OV:40

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
Caleb Jones	Colorado	2016	92
Connor Hall	Colorado	2016	65
Connor Hobbs	Colorado	2016	201
Ethan Bear	Colorado	2016	73
Jesse Gabrielle	Colorado	2016	83
Jordan Kyrou	Colorado	2016	53
Linus Lindstrom	Colorado	2016	100
Tyler Parsons	Colorado	2016	32
Ziyat Paigin	Colorado	2016	111

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2017	Col			Col	Col
2018	Col	Ana	Col	Col		Col
2019	Col	Col	Col	Col	Col	Col	Col
2020	Col	Col	Col	Col	Col	Col	Col
2021	Col	Col	Col	Col	Col	Col	Col

[2016-09-16 21:11:35] - Tanner Glass was added to Colorado.
[2016-09-16 21:11:38] - Martin Erat was added to Colorado.
[2016-10-02 22:26:46] - Seth Jones was added to Colorado.
[2016-10-02 22:26:48] - TRADE : From Anaheim to Colorado : Seth Jones (65), Y:2017-RND:3-Ana, Y:2018-RND:2-Ana.
[2016-10-02 22:26:48] - TRADE : From Colorado to Anaheim : Evgeni Malkin (73), Y:2018-RND:7-Col.
[2016-10-22 20:00:21] - Unknown Player is no longer captain for Colorado.
[2016-10-22 20:00:21] - David Krejci has been selected as captain for Colorado.
[2016-10-22 20:00:21] - Unknown Player is no longer as assistant for Colorado.
[2016-10-22 20:00:21] - Logan Couture has been selected as assistant for Colorado.
[2016-11-12 12:10:29] - Shane Doan was added to Colorado.
[2016-11-12 12:10:30] - TRADE : From Ottawa to Colorado : Shane Doan (69).
[2016-11-12 12:10:30] - TRADE : From Colorado to Ottawa : Y:2018-RND:2-Col, Y:2017-RND:3-Col, Y:2018-RND:5-Col.
[2016-11-19 20:00:22] - New Record for Team's Most Shots Blocked (16) in 1 Game for Colorado!
[2017-01-08 20:00:12] - New Record for Team's Most Shots Blocked (17) in 1 Game for Colorado!
[2017-01-28 08:50:41] - Tomas Plekanec was added to Colorado.
[2017-01-28 08:50:42] - TRADE : From Caroline to Colorado : Tomas Plekanec (71).
[2017-01-28 08:50:42] - TRADE : From Colorado to Caroline : Erik Haula (62), Y:2017-RND:3-Ana, Y:2017-RND:2-Col.

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	82	46	23	0	2	2	6	3	291	213	78	41	22	13	0	1	1	3	1	140	103	37	41	24	10	0	1	1	3	2	151	110	41	92	291	505	796	1	3	105	81	97	13	2383	773	765	818	58	2056	550	1099	1511	490	86	17.55%	426	65	84.74%	5	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	2073	1428	1842	619	1055	541
Total Saison Régulière	82	46	23	0	2	2	6	3	291	213	78	41	22	13	0	1	1	3	1	140	103	37	41	24	10	0	1	1	3	2	151	110	41	92	291	505	796	1	3	105	81	97	13	2383	773	765	818	58	2056	550	1099	1511	490	86	17.55%	426	65	84.74%	5	1448	2880	50.28%	1340	2642	50.72%	685	1367	50.11%	2073	1428	1842	619	1055	541