Ligue de hockey Simulée Ste-Flanelle

Baby Hawks
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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Ryan Getzlaf (A)	X				100.00	63	56	78	74	78	80	93	79	85	85	73	74	53	72	64	0	81	74	0
2	Ryan Kesler (A)	X				100.00	68	50	73	78	70	80	94	74	91	75	73	76	55	71	62	0	83	73	0
3	Brandon Saad		X	X		100.00	57	35	89	79	70	76	94	73	44	69	76	68	53	52	51	0	83	69	0
4	Jordan Eberle			X		100.00	53	35	88	83	55	77	90	76	35	77	74	62	57	52	42	0	76	69	0
5	Mikael Backlund	X				100.00	58	43	86	75	69	73	92	68	82	65	70	76	48	54	48	0	83	68	0
6	Nick Bonino	X	X			100.00	52	43	84	72	67	73	80	67	83	68	65	78	58	55	52	0	83	67	0
7	Radim Vrbata			X		100.00	53	35	89	74	66	74	82	70	35	67	72	59	57	72	62	0	79	67	0
8	Milan Michalek		X	X		100.00	57	43	84	68	80	74	69	67	35	65	68	69	56	70	61	0	66	66	0
9	P.A. Parenteau		X	X		100.00	54	35	76	77	69	73	90	68	35	65	71	60	68	56	48	0	83	66	0
10	Matt Stajan	X				100.00	58	43	80	70	67	68	91	59	83	58	60	73	53	68	58	0	83	64	0
11	Vladislav Namestnikov	X	X			100.00	55	50	82	78	55	65	79	62	76	60	64	65	48	46	39	0	83	62	0
12	Jonathan Drouin		X	X		100.00	57	35	86	74	58	66	51	62	44	66	58	57	45	37	35	0	75	59	0
13	Zdeno Chara (C)				X	100.00	73	56	76	64	93	84	93	62	35	66	57	82	45	91	83	0	68	74	0
14	Karl Alzner				X	100.00	71	50	87	66	70	77	95	50	35	52	47	85	45	60	52	0	77	68	0
15	Dan Hamhuis				X	100.00	69	50	82	65	69	80	75	53	35	59	47	79	48	71	61	0	68	67	0
16	Danny DeKeyser				X	100.00	66	43	82	68	62	79	94	56	35	57	55	83	48	43	40	0	83	67	0
17	John Klingberg				X	100.00	58	35	84	79	56	77	82	68	35	76	59	76	45	35	32	0	73	66	0
18	Ben Lovejoy				X	100.00	79	43	84	64	68	74	78	48	35	47	49	81	48	58	54	0	62	65	0
Rayé
1	Patrick Eaves		X	X		100.00	60	43	84	74	69	65	70	60	35	52	67	62	53	67	59	0	57	62	0
2	Matthew Carle				X	100.00	59	43	85	67	64	74	78	49	35	51	47	75	45	71	62	0	60	64	0

	MOYENNE D'ÉQUIPE					100.00	61	43	83	72	68	74	84	64	50	64	63	72	51	60	53	0	75	67

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Jonathan Quick	100.00	91	99	98	82	87	86	83	83	88	78	87	64	61	0	81	82	0
2	Al Montoya	100.00	69	45	88	76	66	63	71	62	55	81	70	49	44	0	78	64	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	80	72	93	79	77	75	77	73	72	80	79	57	53	0	80	73

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bruce Boudreau	99	94	88	97	99	99	96	CAN	61	2	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	PIM5	HIT	HTT	SHT	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Ryan Getzlaf	Chicago	C	82	37	51	88	14	128	60	166	154	272	0	13.60%	10	1540	18.79	13	19	32	76	397	0	1	1	2	16	8	3	57.20%	1916	0	1	1.14	0	1	1	2	9	9	7	8
2	Ryan Kesler	Chicago	C	82	35	48	83	14	93	15	190	166	289	0	12.11%	2	1390	16.95	16	22	38	93	354	0	0	0	1	25	5	1	56.63%	1667	0	0	1.19	3	6	1	0	2	14	6	3
3	Brandon Saad	Chicago	LW/RW	82	28	47	75	12	38	0	71	92	238	0	11.76%	8	1610	19.65	11	20	31	68	403	0	0	0	4	52	8	5	36.46%	96	0	0	0.93	1	4	0	0	0	1	4	4
4	John Klingberg	Chicago	D	80	17	54	71	2	38	10	71	91	133	0	12.78%	66	1691	21.14	12	16	28	90	370	1	0	1	1	119	4	2	0.00%	0	0	0	0.84	0	0	0	0	1	3	4	0
5	Jordan Eberle	Chicago	RW	82	24	45	69	8	18	0	48	99	225	0	10.67%	7	1512	18.45	9	21	30	68	404	0	0	0	0	1	4	0	34.65%	101	0	2	0.91	4	11	0	0	0	3	2	4
6	Danny DeKeyser	Chicago	D	82	15	35	50	19	70	0	91	71	141	0	10.64%	97	1816	22.16	9	18	27	89	374	0	0	0	2	286	2	0	0.00%	0	0	0	0.55	0	0	0	0	0	1	3	1
7	Zdeno Chara	Chicago	D	79	8	40	48	2	186	40	151	68	98	0	8.16%	80	1723	21.81	5	15	20	67	353	0	0	0	0	243	2	0	0.00%	0	0	0	0.56	0	0	2	4	2	1	1	1
8	Dan Hamhuis	Chicago	D	79	10	22	32	20	101	15	119	62	79	0	12.66%	66	1715	21.71	6	8	14	46	358	0	0	0	0	264	1	2	0.00%	0	0	0	0.37	0	0	2	0	1	0	2	4
9	P.A. Parenteau	Chicago	LW/RW	82	16	15	31	12	18	0	43	41	150	0	10.67%	6	1131	13.80	4	5	9	23	179	0	0	0	0	1	4	1	32.89%	76	0	0	0.55	1	11	0	0	0	1	1	2
10	Milan Michalek	Chicago	LW/RW	74	15	13	28	5	36	0	53	47	107	0	14.02%	3	942	12.73	2	5	7	14	90	1	1	2	4	110	2	2	23.88%	67	0	0	0.59	1	3	0	0	0	2	3	3
11	Mikael Backlund	Chicago	C	82	11	16	27	-1	30	0	70	171	140	0	7.86%	12	1204	14.69	0	0	0	0	0	0	0	0	6	395	1	0	52.25%	1663	0	0	0.45	0	0	0	0	0	0	3	2
12	Vladislav Namestnikov	Chicago	C/LW	82	12	14	26	0	21	5	50	63	92	0	13.04%	3	902	11.00	2	4	6	28	192	0	0	0	0	45	3	1	49.04%	104	0	0	0.58	0	0	0	0	1	2	0	2
13	Radim Vrbata	Chicago	RW	79	11	13	24	0	8	0	37	42	105	0	10.48%	3	886	11.22	1	3	4	12	104	0	0	0	0	0	1	0	33.70%	92	0	0	0.54	0	1	0	0	0	0	1	1
14	Ben Lovejoy	Chicago	D	81	7	16	23	14	106	0	137	34	56	0	12.50%	66	1253	15.47	0	1	1	5	42	1	0	1	1	133	1	0	0.00%	0	0	0	0.37	0	0	0	0	0	0	2	2
15	Nick Bonino	Chicago	C/LW	79	12	11	23	13	31	5	43	109	124	0	9.68%	18	1280	16.20	1	0	1	3	35	1	0	1	4	355	0	1	53.51%	114	0	0	0.36	1	4	1	0	0	2	0	2
16	Matt Stajan	Chicago	C	82	6	14	20	5	22	0	48	98	81	0	7.41%	12	744	9.07	0	0	0	0	0	0	3	3	2	194	0	0	53.71%	754	0	0	0.54	0	0	0	0	0	0	0	2
17	Karl Alzner	Chicago	D	81	6	10	16	6	134	10	126	69	34	0	17.65%	96	1570	19.39	1	1	2	6	39	0	1	1	2	286	1	0	0.00%	0	0	0	0.20	0	0	1	0	1	1	0	0
18	Jonathan Drouin	Chicago	LW/RW	75	2	14	16	6	28	0	43	36	72	0	2.78%	3	1051	14.02	1	6	7	21	287	0	0	0	0	0	0	0	24.42%	86	0	0	0.30	0	0	0	0	0	0	0	0
19	Matthew Carle	Chicago	D	67	2	11	13	2	18	0	36	26	28	0	7.14%	42	1042	15.57	0	2	2	3	42	0	0	0	1	87	0	0	0.00%	0	0	0	0.25	0	0	0	0	0	0	1	1
20	Patrick Eaves	Chicago	LW/RW	59	5	3	8	-4	18	0	39	26	39	0	12.82%	5	555	9.41	0	0	0	1	12	0	0	0	4	93	0	0	41.94%	62	0	0	0.29	0	1	0	0	0	0	1	0
Stats d'équipe Total ou en Moyenne			1571	279	492	771	149	1142	160	1632	1565	2503	0	11.15%	605	25565	16.27	93	166	259	713	4043	4	6	10	34	2711	47	18	53.18%	6798	0	3	0.60	11	42	8	6	17	40	41	42

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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	Jonathan Quick	Chicago	71	41	20	9	0.899	2.40	4248	6	6	170	1691	0	4	1	0.639	36	70	12	10	5	3
2	Al Montoya	Chicago	13	10	1	1	0.882	2.71	730	0	1	33	280	0	0	0	1.000	2	12	70	0	0	1
Stats d'équipe Total ou en Moyenne		84	51	21	10	0.897	2.45	4979	6	7	203	1971	0	4	1	0.658	38	82	82	10	5	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 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
Al Montoya	Chicago	G	30	1985-02-13	No	203 Lbs	6 ft2	No	No	1	Sans Restriction	Pro & Farm	900,000$						Lien
Ben Lovejoy	Chicago	D	31	1984-02-20	No	206 Lbs	6 ft1	No	No	1	Sans Restriction	Pro & Farm	1,300,000$						Lien
Brandon Saad	Chicago	LW/RW	22	1992-10-27	No	202 Lbs	6 ft1	No	No	6	Avec Restriction	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	3,500,000$	3,500,000$	3,500,000$	Lien
Dan Hamhuis	Chicago	D	32	1982-12-13	No	209 Lbs	6 ft1	No	No	2	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$					Lien
Danny DeKeyser	Chicago	D	25	1990-03-07	No	191 Lbs	6 ft3	No	No	1	Avec Restriction	Pro & Farm	925,000$						Lien
John Klingberg	Chicago	D	23	1992-08-14	No	180 Lbs	6 ft2	No	No	3	Avec Restriction	Pro & Farm	710,000$	710,000$	710,000$				Lien
Jonathan Drouin	Chicago	LW/RW	20	1995-03-28	No	186 Lbs	5 ft11	No	No	3	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	925,000$				Lien
Jonathan Quick	Chicago	G	29	1986-01-21	No	218 Lbs	6 ft1	No	No	6	Avec Restriction	Pro & Farm	5,000,000$	5,000,000$	5,000,000$	5,000,000$	5,000,000$	5,000,000$	Lien
Jordan Eberle	Chicago	RW	25	1990-05-15	No	181 Lbs	5 ft11	No	No	3	Avec Restriction	Pro & Farm	4,900,000$	4,900,000$	4,900,000$				Lien
Karl Alzner	Chicago	D	27	1988-09-24	No	214 Lbs	6 ft2	No	No	6	Avec Restriction	Pro & Farm	1,400,000$	1,400,000$	1,400,000$	1,400,000$	1,400,000$	1,400,000$	Lien
Matt Stajan	Chicago	C	31	1983-12-19	No	195 Lbs	6 ft1	Yes	No	5	Sans Restriction	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	2,000,000$	2,000,000$		Lien
Matthew Carle	Chicago	D	31	1984-09-25	No	197 Lbs	6 ft0	Yes	No	5	Sans Restriction	Pro & Farm	1,800,000$	1,800,000$	1,800,000$	1,800,000$	1,800,000$		Lien
Mikael Backlund	Chicago	C	26	1989-03-17	No	199 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	1,900,000$	1,900,000$					Lien
Milan Michalek	Chicago	LW/RW	30	1984-12-07	No	227 Lbs	6 ft2	No	No	4	Sans Restriction	Pro & Farm	3,400,000$	3,400,000$	3,400,000$	3,400,000$			Lien
Nick Bonino	Chicago	C/LW	27	1988-04-20	No	196 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$					Lien
P.A. Parenteau	Chicago	LW/RW	32	1983-03-24	No	200 Lbs	6 ft0	No	No	3	Sans Restriction	Pro & Farm	3,040,000$	3,040,000$	3,040,000$				Lien
Patrick Eaves	Chicago	LW/RW	31	1984-05-01	No	200 Lbs	6 ft0	No	No	2	Sans Restriction	Pro & Farm	750,000$	750,000$					Lien
Radim Vrbata	Chicago	RW	34	1981-06-13	No	194 Lbs	6 ft1	No	No	1	Sans Restriction	Pro & Farm	3,500,000$						Lien
Ryan Getzlaf	Chicago	C	30	1985-05-10	No	221 Lbs	6 ft4	No	No	1	Sans Restriction	Pro & Farm	6,000,000$						Lien
Ryan Kesler	Chicago	C	31	1984-08-31	No	202 Lbs	6 ft2	No	No	4	Sans Restriction	Pro & Farm	4,600,000$	4,600,000$	4,600,000$	4,600,000$			Lien
Vladislav Namestnikov	Chicago	C/LW	22	1992-11-22	No	180 Lbs	5 ft11	No	No	2	Avec Restriction	Pro & Farm	925,000$	925,000$					Lien
Zdeno Chara (Contrat à 1 Volet)	Chicago	D	38	1977-03-18	No	250 Lbs	6 ft9	Yes	No	2	Sans Restriction	Pro & Farm	8,000,000$	8,000,000$					Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	28.50	202 Lbs	6 ft1	2.95	2,748,864$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
60,475,000$	47,850,000$	31,275,000$	21,700,000$	13,700,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brandon Saad	Ryan Kesler	Jordan Eberle	30	0	2	3
2	P.A. Parenteau	Ryan Getzlaf	Radim Vrbata	30	0	2	3
3	Nick Bonino	Mikael Backlund	Milan Michalek	24	0	3	2
4	Vladislav Namestnikov	Matt Stajan	Jonathan Drouin	16	0	3	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Karl Alzner	John Klingberg	40	0	3	2
2	Danny DeKeyser	Dan Hamhuis	30	0	3	2
3	Zdeno Chara	Ben Lovejoy	30	0	3	2
4	Karl Alzner	Zdeno Chara	0	0	3	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brandon Saad	Ryan Kesler	Jordan Eberle	50	0	0	5
2	P.A. Parenteau	Ryan Getzlaf	Jonathan Drouin	50	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Zdeno Chara	John Klingberg	60	1	1	3
2	Danny DeKeyser	Dan Hamhuis	40	1	1	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Mikael Backlund	Nick Bonino	60	1	3	1
2	Matt Stajan	Milan Michalek	40	1	3	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Karl Alzner	Ben Lovejoy	60	1	3	1
2	Danny DeKeyser	Dan Hamhuis	40	1	3	1

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Mikael Backlund	60	1	3	1	Karl Alzner	Ben Lovejoy	60	1	3	1
2	Nick Bonino	40	1	3	1	Danny DeKeyser	Dan Hamhuis	40	1	3	1

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ryan Getzlaf	Brandon Saad	50	0	2	3
2	Ryan Kesler	Jordan Eberle	50	0	3	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Karl Alzner	John Klingberg	50	0	2	3
2	Danny DeKeyser	Dan Hamhuis	50	0	3	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brandon Saad	Ryan Getzlaf	Jordan Eberle	John Klingberg	Zdeno Chara

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nick Bonino	Ryan Kesler	Ryan Getzlaf	Karl Alzner	Zdeno Chara

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jonathan Drouin, Vladislav Namestnikov, Milan Michalek	Vladislav Namestnikov, Radim Vrbata	Vladislav Namestnikov

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Zdeno Chara, Karl Alzner, Ben Lovejoy	Karl Alzner	Zdeno Chara, John Klingberg

Tirs de Pénalité
P.A. Parenteau, Jordan Eberle, Ryan Kesler, Radim Vrbata, Nick Bonino

Gardien
#1 : Jonathan Quick, #2 : Al Montoya

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	1	1	0	0	1	0	0	5	6	-1	1	0	1	0	0	0	0	0	1	3	-2	2	1	0	0	0	1	0	0	4	3	1	3	0.500	5	7	12	0	1	2	1	2	0	79	34	20	25	0	68	15	58	60	16	2	12.50%	19	4	78.95%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	71	47	71	25	37	18
Atlanta	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	14	21	0	0	6	0	1	0	51	25	9	17	0	33	5	26	40	13	4	30.77%	8	0	100.00%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	49	34	44	15	26	13
Boston	2	1	1	0	0	0	0	0	8	8	0	1	0	1	0	0	0	0	0	2	6	-4	1	1	0	0	0	0	0	0	6	2	4	2	0.500	8	12	20	0	0	3	2	3	0	50	15	19	16	0	70	26	32	37	11	4	36.36%	16	3	81.25%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	44	28	49	14	26	12
Buffalo	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	5	0	5	1	1	0	0	0	0	0	0	4	3	1	4	1.000	9	18	27	0	1	4	2	3	0	55	22	9	24	0	37	15	16	27	14	4	28.57%	8	1	87.50%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	54	39	40	14	24	12
Calgary	3	1	1	0	0	0	0	1	9	12	-3	2	1	1	0	0	0	0	0	5	7	-2	1	0	0	0	0	0	0	1	4	5	-1	3	0.500	9	13	22	0	0	3	4	2	1	81	31	30	19	8	81	28	40	54	18	5	27.78%	17	3	82.35%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	72	48	73	23	39	19
Philadelphie	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	6	12	18	0	0	0	3	3	0	36	9	12	15	0	43	11	30	43	11	2	18.18%	14	2	85.71%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	48	30	45	15	26	13
Colorado	5	2	1	0	0	0	0	2	10	12	-2	3	0	1	0	0	0	0	2	6	10	-4	2	2	0	0	0	0	0	0	4	2	2	6	0.600	10	19	29	0	0	4	3	3	1	124	49	29	39	14	146	45	83	109	28	5	17.86%	38	4	89.47%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	115	75	131	38	62	30
Kansas City	5	3	2	0	0	0	0	0	16	16	0	3	3	0	0	0	0	0	0	14	6	8	2	0	2	0	0	0	0	0	2	10	-8	6	0.600	16	29	45	0	0	10	2	4	0	156	64	41	51	0	124	40	47	95	25	2	8.00%	21	6	71.43%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	134	95	102	35	62	33
Detroit	2	2	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	2	0	2	4	1.000	5	9	14	0	1	2	2	1	0	52	19	13	20	0	39	11	8	25	10	1	10.00%	4	0	100.00%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	45	31	49	15	24	12
Edmonton	3	3	0	0	0	0	0	0	14	4	10	1	1	0	0	0	0	0	0	4	1	3	2	2	0	0	0	0	0	0	10	3	7	6	1.000	14	24	38	0	1	4	2	8	0	95	25	35	35	0	58	16	25	67	23	8	34.78%	9	2	77.78%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	73	52	68	21	38	19
Islanders	2	0	1	0	0	1	0	0	7	11	-4	1	0	0	0	0	1	0	0	4	5	-1	1	0	1	0	0	0	0	0	3	6	-3	1	0.250	7	13	20	0	0	4	2	1	0	59	23	12	22	2	71	20	31	43	8	3	37.50%	12	3	75.00%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	49	33	48	15	26	12
LA Kings	3	0	2	0	0	1	0	0	7	12	-5	1	0	1	0	0	0	0	0	1	2	-1	2	0	1	0	0	1	0	0	6	10	-4	1	0.167	7	12	19	0	0	1	4	2	0	82	23	29	29	1	78	23	24	53	23	5	21.74%	12	1	91.67%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	73	50	71	23	39	19
Minnesota	4	1	1	0	0	0	1	1	12	7	5	2	1	0	0	0	0	1	0	9	2	7	2	0	1	0	0	0	0	1	3	5	-2	5	0.625	12	22	34	0	1	5	4	2	1	124	37	39	46	8	94	28	49	74	23	2	8.70%	17	2	88.24%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	105	73	91	30	53	27
Hartford	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	6	10	16	0	0	2	1	3	0	49	24	15	10	0	29	4	16	42	16	4	25.00%	8	1	87.50%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	50	33	42	16	26	13
Ottawa	2	1	1	0	0	0	0	0	7	3	4	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	5	0	5	2	0.500	7	12	19	0	1	4	3	0	0	70	23	20	27	0	45	15	47	29	10	1	10.00%	8	0	100.00%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	52	37	43	15	24	12
Pittsburgh	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	3	2	1	4	1.000	8	15	23	0	0	5	3	0	0	56	21	26	9	0	59	13	27	40	15	4	26.67%	10	2	80.00%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	47	31	48	15	24	12
Rangers	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	3	1	4	1.000	8	13	21	0	0	3	2	3	0	70	15	33	22	0	43	12	34	36	15	4	26.67%	7	0	100.00%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	55	40	40	14	23	12
San Jose	3	2	0	0	0	0	0	1	10	9	1	1	1	0	0	0	0	0	0	3	2	1	2	1	0	0	0	0	0	1	7	7	0	5	0.833	10	18	28	0	0	3	3	4	1	96	24	30	37	8	57	17	10	55	17	1	5.88%	5	1	80.00%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	85	60	60	20	39	22
St-Louis	5	2	2	0	0	0	1	0	13	15	-2	2	1	1	0	0	0	0	0	5	6	-1	3	1	1	0	0	0	1	0	8	9	-1	6	0.600	13	21	34	0	0	4	6	2	2	150	47	48	51	8	143	41	70	102	32	3	9.38%	30	4	86.67%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	122	83	118	39	63	32
Tampa Bay	2	1	1	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	7	13	20	0	0	2	2	3	0	46	21	15	10	0	47	15	28	41	11	2	18.18%	14	2	85.71%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	42	27	48	17	28	13
Toronto	2	2	0	0	0	0	0	0	9	1	8	1	1	0	0	0	0	0	0	3	0	3	1	1	0	0	0	0	0	0	6	1	5	4	1.000	9	15	24	0	1	4	2	3	0	62	18	23	21	0	35	12	27	32	6	2	33.33%	9	0	100.00%	1	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	54	39	38	13	26	13
Vancouver	3	1	2	0	0	0	0	0	9	9	0	2	1	1	0	0	0	0	0	7	5	2	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	9	15	24	0	0	6	2	1	0	82	32	26	24	0	56	14	32	49	13	2	15.38%	16	4	75.00%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	74	51	65	22	39	20
Quebec	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	2	1	1	4	1.000	9	15	24	0	0	3	3	3	0	62	18	33	11	0	34	10	36	38	13	3	23.08%	17	2	88.24%	1	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	49	34	46	15	23	11
Winnipeg	5	2	2	0	0	0	1	0	17	12	5	3	2	1	0	0	0	0	0	11	5	6	2	0	1	0	0	0	1	0	6	7	-1	6	0.600	17	28	45	1	0	9	5	2	2	182	65	79	34	7	121	26	75	77	30	3	10.00%	23	3	86.96%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	136	96	103	37	64	35
Nashville	3	1	1	0	0	0	1	0	8	6	2	2	1	1	0	0	0	0	0	6	5	1	1	0	0	0	0	0	1	0	2	1	1	4	0.667	8	12	20	0	0	2	3	2	1	84	18	29	36	4	83	17	44	45	15	2	13.33%	17	2	88.24%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	78	52	66	23	40	20
Montreal	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	3	2	1	4	1.000	8	14	22	0	0	2	4	2	0	50	21	17	12	0	48	13	23	28	11	4	36.36%	9	2	77.78%	1	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	47	31	46	13	25	13
Washington	2	1	0	0	0	0	0	1	9	8	1	1	0	0	0	0	0	0	1	3	4	-1	1	1	0	0	0	0	0	0	6	4	2	3	0.750	9	17	26	0	0	6	0	3	1	81	35	21	21	8	67	11	29	39	15	4	26.67%	11	2	81.82%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	55	37	43	13	26	14
Caroline	2	1	0	0	0	0	0	1	6	6	0	1	0	0	0	0	0	0	1	3	4	-1	1	1	0	0	0	0	0	0	3	2	1	3	0.750	6	11	17	0	0	3	1	2	0	57	20	13	19	7	43	15	29	42	13	2	15.38%	12	0	100.00%	0	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	52	35	47	15	25	12
Las Vegas	5	4	1	0	0	0	0	0	20	15	5	2	2	0	0	0	0	0	0	8	3	5	3	2	1	0	0	0	0	0	12	12	0	8	0.800	20	36	56	0	0	5	11	4	0	137	48	44	45	0	120	39	64	89	19	2	10.53%	22	3	86.36%	1	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	134	95	102	34	63	33
Vs Division	29	14	9	0	0	0	3	3	88	77	11	15	9	3	0	0	0	1	2	53	32	21	14	5	6	0	0	0	2	1	35	45	-10	37	0.638	88	155	243	1	1	37	31	17	6	873	310	280	266	37	748	219	388	546	157	17	10.83%	151	22	85.43%	1	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	749	519	650	216	370	193
Vs Conference	50	23	16	0	0	2	4	5	150	135	15	25	14	8	0	0	0	1	2	80	57	23	25	9	8	0	0	2	3	3	70	78	-8	61	0.610	150	256	406	1	3	58	50	38	9	1472	497	479	471	58	1229	349	621	929	282	42	14.89%	246	39	84.15%	1	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	1278	883	1127	378	642	333
Since Last GM Reset	82	47	21	0	0	3	4	7	269	211	58	41	25	10	0	0	1	1	4	143	98	45	41	22	11	0	0	2	3	3	126	113	13	112	0.683	269	469	738	1	7	111	82	72	10	2378	826	769	747	75	1972	557	1060	1511	474	90	18.99%	413	59	85.71%	4	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	2079	1430	1850	619	1053	541
Total	82	47	21	0	0	3	4	7	269	211	58	41	25	10	0	0	1	1	4	143	98	45	41	22	11	0	0	2	3	3	126	113	13	112	0.683	269	469	738	1	7	111	82	72	10	2378	826	769	747	75	1972	557	1060	1511	474	90	18.99%	413	59	85.71%	4	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	2079	1430	1850	619	1053	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	112	OTL2	269	469	738	2378	1972	557	1060	1511	1	7

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	47	21	0	3	4	7	269	211

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	25	10	0	1	1	4	143	98

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	22	11	0	2	3	3	126	113

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	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
474	90	18.99%	413	59	85.71%	4

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
826	769	747	75	111	82	72	10

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
1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%

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
2079	1430	1850	619	1053	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
1 - 2016-10-12	2	St-Louis	4	Chicago	5	W			Sommaire du Match
3 - 2016-10-14	14	Chicago	6	Las Vegas	5	W			Sommaire du Match
4 - 2016-10-15	27	Las Vegas	2	Chicago	6	W			Sommaire du Match
7 - 2016-10-18	46	Philadelphie	3	Chicago	4	W			Sommaire du Match
10 - 2016-10-21	63	Chicago	3	Atlanta	2	W			Sommaire du Match
11 - 2016-10-22	69	Toronto	0	Chicago	3	W			Sommaire du Match
13 - 2016-10-24	82	Calgary	1	Chicago	2	W			Sommaire du Match
17 - 2016-10-28	107	Chicago	3	Hartford	1	W			Sommaire du Match
19 - 2016-10-30	128	LA Kings	2	Chicago	1	L			Sommaire du Match
21 - 2016-11-01	135	Calgary	6	Chicago	3	L			Sommaire du Match
23 - 2016-11-03	157	Colorado	2	Chicago	1	L	X	X	Sommaire du Match
25 - 2016-11-05	171	Chicago	1	Kansas City	5	L			Sommaire du Match
26 - 2016-11-06	178	Kansas City	3	Chicago	7	W			Sommaire du Match
29 - 2016-11-09	195	Chicago	1	St-Louis	4	L			Sommaire du Match
31 - 2016-11-11	209	Washington	4	Chicago	3	L	X	X	Sommaire du Match
33 - 2016-11-13	226	Montreal	2	Chicago	5	W			Sommaire du Match
35 - 2016-11-15	234	Chicago	2	Winnipeg	4	L			Sommaire du Match
38 - 2016-11-18	259	Chicago	4	Calgary	5	L	X	X	Sommaire du Match
39 - 2016-11-19	264	Chicago	2	Vancouver	4	L			Sommaire du Match
41 - 2016-11-21	281	Chicago	5	Edmonton	3	W			Sommaire du Match
43 - 2016-11-23	299	Chicago	3	San Jose	4	L	X	X	Sommaire du Match
45 - 2016-11-25	311	Chicago	2	Anaheim	0	W			Sommaire du Match
46 - 2016-11-26	320	Chicago	2	LA Kings	5	L			Sommaire du Match
49 - 2016-11-29	336	Quebec	3	Chicago	7	W			Sommaire du Match
51 - 2016-12-01	353	Hartford	2	Chicago	3	W			Sommaire du Match
53 - 2016-12-03	368	Chicago	2	Philadelphie	4	L			Sommaire du Match
54 - 2016-12-04	374	Winnipeg	3	Chicago	2	L			Sommaire du Match
56 - 2016-12-06	387	Nashville	1	Chicago	3	W			Sommaire du Match
59 - 2016-12-09	409	Rangers	2	Chicago	4	W			Sommaire du Match
61 - 2016-12-11	427	Kansas City	2	Chicago	4	W			Sommaire du Match
63 - 2016-12-13	439	Chicago	4	Rangers	3	W			Sommaire du Match
65 - 2016-12-15	446	Chicago	3	Islanders	6	L			Sommaire du Match
67 - 2016-12-17	467	Chicago	4	St-Louis	3	W	X	X	Sommaire du Match
68 - 2016-12-18	471	San Jose	2	Chicago	3	W			Sommaire du Match
70 - 2016-12-20	489	Ottawa	3	Chicago	2	L			Sommaire du Match
73 - 2016-12-23	516	Colorado	5	Chicago	3	L			Sommaire du Match
77 - 2016-12-27	523	Winnipeg	1	Chicago	2	W			Sommaire du Match
79 - 2016-12-29	537	Chicago	2	Las Vegas	5	L			Sommaire du Match
80 - 2016-12-30	544	Chicago	3	Caroline	2	W			Sommaire du Match
83 - 2017-01-02	562	Chicago	3	St-Louis	2	W			Sommaire du Match
86 - 2017-01-05	582	Buffalo	0	Chicago	5	W			Sommaire du Match
87 - 2017-01-06	587	Caroline	4	Chicago	3	L	X	X	Sommaire du Match
89 - 2017-01-08	607	Las Vegas	1	Chicago	2	W			Sommaire du Match
91 - 2017-01-10	616	Detroit	1	Chicago	3	W			Sommaire du Match
94 - 2017-01-13	634	Chicago	6	Washington	4	W			Sommaire du Match
96 - 2017-01-15	652	Minnesota	0	Chicago	6	W			Sommaire du Match
98 - 2017-01-17	668	Chicago	2	Colorado	1	W			Sommaire du Match
101 - 2017-01-20	685	Chicago	6	Boston	2	W			Sommaire du Match
103 - 2017-01-22	706	Vancouver	3	Chicago	2	L			Sommaire du Match
105 - 2017-01-24	722	Tampa Bay	3	Chicago	6	W			Sommaire du Match
107 - 2017-01-26	734	Winnipeg	1	Chicago	7	W			Sommaire du Match
112 - 2017-01-31	745	Chicago	4	San Jose	3	W			Sommaire du Match
114 - 2017-02-02	764	Chicago	2	Nashville	1	W	X	X	Sommaire du Match
116 - 2017-02-04	781	Chicago	1	Kansas City	5	L			Sommaire du Match
120 - 2017-02-08	801	Chicago	2	Minnesota	3	L	X	X	Sommaire du Match
122 - 2017-02-10	814	Chicago	4	Winnipeg	3	W	X	X	Sommaire du Match
123 - 2017-02-11	827	Chicago	5	Edmonton	0	W			Sommaire du Match
130 - 2017-02-18	863	Edmonton	1	Chicago	4	W			Sommaire du Match
131 - 2017-02-19	869	Chicago	4	Buffalo	3	W			Sommaire du Match
133 - 2017-02-21	889	Chicago	1	Minnesota	2	L			Sommaire du Match
135 - 2017-02-23	898	Nashville	4	Chicago	3	L			Sommaire du Match
138 - 2017-02-26	917	St-Louis	2	Chicago	0	L			Sommaire du Match
141 - 2017-03-01	935	Pittsburgh	1	Chicago	5	W			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2017-03-03	951	Islanders	5	Chicago	4	L	X		Sommaire du Match
144 - 2017-03-04	959	Chicago	4	Las Vegas	2	W			Sommaire du Match
149 - 2017-03-09	994	Anaheim	3	Chicago	1	L			Sommaire du Match
150 - 2017-03-10	996	Chicago	2	Detroit	0	W			Sommaire du Match
152 - 2017-03-12	1012	Minnesota	2	Chicago	3	W	X	X	Sommaire du Match
154 - 2017-03-14	1032	Chicago	3	Montreal	2	W			Sommaire du Match
156 - 2017-03-16	1044	Chicago	5	Ottawa	0	W			Sommaire du Match
158 - 2017-03-18	1055	Chicago	6	Toronto	1	W			Sommaire du Match
159 - 2017-03-19	1063	Colorado	3	Chicago	2	L	X	X	Sommaire du Match
161 - 2017-03-21	1084	Vancouver	2	Chicago	5	W			Sommaire du Match
163 - 2017-03-23	1098	Kansas City	1	Chicago	3	W			Sommaire du Match
165 - 2017-03-25	1108	Chicago	2	Quebec	1	W			Sommaire du Match
167 - 2017-03-27	1126	Chicago	1	Tampa Bay	2	L			Sommaire du Match
169 - 2017-03-29	1137	Chicago	3	Pittsburgh	2	W			Sommaire du Match
171 - 2017-03-31	1152	Atlanta	2	Chicago	4	W			Sommaire du Match
173 - 2017-04-02	1165	Boston	6	Chicago	2	L			Sommaire du Match
175 - 2017-04-04	1183	Chicago	2	Colorado	1	W			Sommaire du Match
177 - 2017-04-06	1194	Chicago	2	Anaheim	3	L	X		Sommaire du Match
179 - 2017-04-08	1220	Chicago	4	LA Kings	5	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	2500	5000	1500
Prix des Billets	200	100	99	98	400
Assistance	190784	179126	73397	127690	40872
Attendance PCT	66.48%	72.82%	71.61%	62.29%	66.46%

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	14924 - 67.83%	1,577,151$	64,663,202$	22000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
60,475,000$	60,875,000$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
57,356,889$	334,116$	56,854,136$	0$

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	336,878$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	59,475,499$	301,039,107$	301,039,107$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Brandon Saad	AGE:22	PO:0	OV:69
Nick Bonino	AGE:27	PO:0	OV:67
Milan Michalek	AGE:30	PO:0	OV:66
P.A. Parenteau	AGE:32	PO:0	OV:66
Patrick Eaves	AGE:31	PO:0	OV:62
Vladislav Namestnikov	AGE:22	PO:0	OV:62
Ryan Garbutt	AGE:30	PO:0	OV:60
Jonathan Drouin	AGE:20	PO:0	OV:59
*Tom Kuhnhackl	AGE:23	PO:0	OV:57
*Tyler Gaudet	AGE:22	PO:0	OV:54
Henrik Samuelsson	AGE:21	PO:0	OV:47
*Michael Zalewski	AGE:23	PO:0	OV:47
Kyle Rau	AGE:22	PO:0	OV:47
Andreas Thuresson	AGE:27	PO:0	OV:40
Jamie Devane	AGE:24	PO:0	OV:38
*Nikita Gusev	AGE:23	PO:0	OV:38

Ryan Getzlaf	AGE:30	PO:0	OV:74
Ryan Kesler	AGE:31	PO:0	OV:73
Mikael Backlund	AGE:26	PO:0	OV:68
Nick Bonino	AGE:27	PO:0	OV:67
Matt Stajan	AGE:31	PO:0	OV:64
Vladislav Namestnikov	AGE:22	PO:0	OV:62
Freddie Hamilton	AGE:23	PO:0	OV:55
Joe Vitale	AGE:30	PO:0	OV:54
*Tyler Gaudet	AGE:22	PO:0	OV:54
Henrik Samuelsson	AGE:21	PO:0	OV:47
*Tyler Graovac	AGE:22	PO:0	OV:47
*Michael Zalewski	AGE:23	PO:0	OV:47
Kyle Rau	AGE:22	PO:0	OV:47
*Lucas Wallmark	AGE:20	PO:0	OV:41

Brandon Saad	AGE:22	PO:0	OV:69
Jordan Eberle	AGE:25	PO:0	OV:69
Radim Vrbata	AGE:34	PO:0	OV:67
Milan Michalek	AGE:30	PO:0	OV:66
P.A. Parenteau	AGE:32	PO:0	OV:66
Brad Boyes	AGE:33	PO:0	OV:63
Patrick Eaves	AGE:31	PO:0	OV:62
Ryan Garbutt	AGE:30	PO:0	OV:60
Jonathan Drouin	AGE:20	PO:0	OV:59
*Tom Kuhnhackl	AGE:23	PO:0	OV:57
Freddie Hamilton	AGE:23	PO:0	OV:55
Joe Vitale	AGE:30	PO:0	OV:54
Henrik Samuelsson	AGE:21	PO:0	OV:47
*Josh Archibald	AGE:22	PO:0	OV:47
*Zack Mitchell	AGE:22	PO:0	OV:45
Andreas Thuresson	AGE:27	PO:0	OV:40

Défense #1

Défense #2

Gardien

Zdeno Chara	AGE:38	PO:0	OV:74
Karl Alzner	AGE:27	PO:0	OV:68
Dan Hamhuis	AGE:32	PO:0	OV:67
Danny DeKeyser	AGE:25	PO:0	OV:67
John Klingberg	AGE:23	PO:0	OV:66
Ben Lovejoy	AGE:31	PO:0	OV:65
Matthew Carle	AGE:31	PO:0	OV:64
Korbinian Holzer	AGE:27	PO:0	OV:56
*Stephen Johns	AGE:23	PO:0	OV:56
Frank Corrado	AGE:22	PO:0	OV:55

Nikita Tryamkin	AGE:21	PO:0	OV:55
Oliver Lauridsen	AGE:26	PO:0	OV:51
*Kevin Gravel	AGE:23	PO:0	OV:51
Steven Santini	AGE:20	PO:0	OV:51
*Robert Hagg	AGE:20	PO:0	OV:46
*William Lagesson	AGE:19	PO:0	OV:42
Adam Almquist	AGE:24	PO:0	OV:40
*Nick Ebert	AGE:21	PO:0	OV:40
*Mattias Backman	AGE:23	PO:0	OV:39

Jonathan Quick	AGE:29	PO:0	OV:82
Al Montoya	AGE:30	PO:0	OV:64
Laurent Brossoit	AGE:22	PO:0	OV:50
Matthew O'Connor	AGE:23	PO:0	OV:50
Jeremy Smith	AGE:26	PO:0	OV:45
*Ville Husso	AGE:20	PO:0	OV:43
*Zane McIntyre	AGE:23	PO:0	OV:39

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
Aleksi Saarela	Chicago	2015	101
Charlie McAvoy	Chicago	2016	20
Conor Garland	Chicago	2015	110
Dan Renouf	Chicago	2016	177
Dante Salituro	Chicago	2016	185
Dmitry Zhukenov	Chicago	2015	191
Gustav Bouramman	Chicago	2015	175
Jeremy Helvig	Chicago	2016	164
Lawson Crouse	Chicago	2015	16
Martin Lundberg	Chicago	2016	163
Michael Eyssimont	Chicago	2016	154
Michael Garteig	Chicago	2016	193
Nathan Noel	Chicago	2015	205
Sergei Boikov	Chicago	2016	147

Choix au Repêchage

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

[2016-09-30 20:00:10] - Matthew Carle is no longer captain for Baby Hawks.
[2016-09-30 20:00:10] - Ryan Garbutt is no longer as assistant for Baby Hawks.
[2016-10-02 22:25:25] - P.A. Parenteau was added to Chicago.
[2016-10-02 22:25:27] - TRADE : From Chicago to Kansas City : Marc Staal (67).
[2016-10-02 22:25:27] - TRADE : From Kansas City to Chicago : P.A. Parenteau (66).
[2016-10-04 20:00:18] - Unknown Player is no longer captain for Baby Hawks.
[2016-10-04 20:00:18] - Brad Boyes has been selected as captain for Baby Hawks.
[2016-10-04 20:00:18] - Joe Vitale is no longer as assistant for Baby Hawks.
[2016-10-04 20:00:18] - Ryan Garbutt has been selected as assistant for Baby Hawks.
[2016-10-04 20:00:18] - Unknown Player is no longer as assistant for Baby Hawks.
[2016-10-04 20:00:18] - Tyler Gaudet has been selected as assistant for Baby Hawks.
[2016-10-12 20:00:13] - Tyler Gaudet is no longer as assistant for Baby Hawks.
[2016-10-12 20:00:13] - Joe Vitale has been selected as assistant for Baby Hawks.
[2016-11-08 20:11:24] - Nick Bonino was added to Chicago.
[2016-11-08 20:11:26] - TRADE : From Atlanta to Chicago : Nick Bonino (67).
[2016-11-08 20:11:26] - TRADE : From Chicago to Atlanta : Mathieu Perreault (66).
[2016-11-23 20:00:19] - Unknown Player is no longer captain for Baby Hawks.
[2016-11-23 20:00:19] - Brad Boyes has been selected as captain for Baby Hawks.
[2016-11-23 20:00:19] - Unknown Player is no longer as assistant for Baby Hawks.
[2016-11-23 20:00:19] - Joe Vitale has been selected as assistant for Baby Hawks.
[2016-11-23 20:00:19] - Joe Vitale is no longer as assistant for Baby Hawks.
[2016-11-23 20:00:19] - Tom Kuhnhackl has been selected as assistant for Baby Hawks.
[2016-11-25 20:00:18] - Unknown Player is no longer captain for Baby Hawks.
[2016-11-25 20:00:18] - Ryan Garbutt has been selected as captain for Baby Hawks.
[2016-11-25 20:00:18] - Joe Vitale is no longer as assistant for Baby Hawks.
[2016-11-25 20:00:18] - Tyler Gaudet has been selected as assistant for Baby Hawks.
[2016-11-29 20:00:16] - Unknown Player is no longer as assistant for Baby Hawks.
[2016-11-29 20:00:16] - Brad Boyes has been selected as assistant for Baby Hawks.
[2016-12-04 20:00:11] - Unknown Player is no longer as assistant for Baby Hawks.
[2016-12-04 20:00:11] - Brad Boyes has been selected as assistant for Baby Hawks.
[2016-12-20 20:00:12] - Ryan Garbutt is no longer captain for Baby Hawks.
[2016-12-23 09:50:19] - Milan Michalek was added to Chicago.
[2016-12-23 09:50:21] - TRADE : From Chicago to Kansas City : Y:2017-RND:6-Chi.
[2016-12-23 09:50:21] - TRADE : From Kansas City to Chicago : Milan Michalek (66).
[2017-01-09 12:00:13] - Unknown Player is no longer captain for Baby Hawks.
[2017-01-09 12:00:13] - Brad Boyes has been selected as captain for Baby Hawks.
[2017-01-09 12:00:13] - Unknown Player is no longer as assistant for Baby Hawks.
[2017-01-09 12:00:13] - Joe Vitale has been selected as assistant for Baby Hawks.
[2017-01-09 12:00:13] - Unknown Player is no longer as assistant for Baby Hawks.
[2017-01-09 12:00:13] - Ryan Garbutt has been selected as assistant for Baby Hawks.
[2017-01-28 08:49:10] - Radim Vrbata was added to Chicago.
[2017-01-28 08:49:10] - TRADE : From Chicago to Vancouver : Jack Glover (44), Y:2018-RND:3-Chi.
[2017-01-28 08:49:10] - TRADE : From Vancouver to Chicago : Radim Vrbata (67).
[2017-03-02 00:06:30] - Ben Lovejoy was added to Chicago.
[2017-03-02 00:06:31] - TRADE : From Kansas City to Chicago : Ben Lovejoy (65).
[2017-03-02 00:06:31] - TRADE : From Chicago to Kansas City : Matt Lorito (P), Y:2017-RND:3-Chi.

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	47	21	0	0	3	4	7	269	211	58	41	25	10	0	0	1	1	4	143	98	45	41	22	11	0	0	2	3	3	126	113	13	94	269	469	738	1	7	111	82	72	10	2378	826	769	747	75	1972	557	1060	1511	474	90	18.99%	413	59	85.71%	4	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	2079	1430	1850	619	1053	541
Total Saison Régulière	82	47	21	0	0	3	4	7	269	211	58	41	25	10	0	0	1	1	4	143	98	45	41	22	11	0	0	2	3	3	126	113	13	94	269	469	738	1	7	111	82	72	10	2378	826	769	747	75	1972	557	1060	1511	474	90	18.99%	413	59	85.71%	4	1594	2871	55.52%	1354	2596	52.16%	659	1287	51.20%	2079	1430	1850	619	1053	541