German Fantasy Hockey League - Chicago Blackhawks

Indianapolis Knights
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Dernière Transactions
Blessure/Suspension
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	Jamie Benn (A)	14	X	X			100.00	82	58	81	85	78	84	97	86	85	86	90	73	61	76	77	0	73	79	1
2	Sean Couturier	15	X				100.00	73	53	88	82	75	87	91	89	91	87	87	81	39	71	72	0	70	78	0
3	Jonathan Toews (C)	19	X				100.00	63	52	81	86	75	83	90	87	98	81	78	70	86	80	87	0	77	76	2
4	Kyle Palmieri	21			X		100.00	80	44	85	86	70	76	88	82	39	76	87	67	50	69	71	0	73	74	0
5	Tomas Hertl	48	X	X			100.00	76	54	84	87	78	78	81	79	90	75	79	76	36	67	69	0	71	73	0
6	Patrik Berglund	22	X	X	X		100.00	84	46	84	78	81	73	87	74	77	63	81	74	45	77	80	0	74	72	0
7	Nick Schmaltz	94	X	X			100.00	59	40	92	84	65	78	93	77	74	80	78	67	63	59	59	0	73	71	0
8	Chris Tierney	50	X				100.00	61	41	96	84	71	73	98	65	87	73	72	75	45	65	67	0	73	70	0
9	Pavel Zacha	37	X	X			100.00	75	44	87	82	79	68	87	70	77	70	62	71	25	59	59	0	73	68	0
10	Jannik Hansen	36		X	X		100.00	71	55	89	78	73	62	63	59	56	71	56	68	25	75	79	0	74	64	0
11	Cole Schneider	3		X	X		100.00	77	72	87	71	72	84	90	62	50	62	58	65	55	44	44	0	71	63	0
12	Michael Bournival	49		X	X		100.00	74	70	82	72	70	73	76	63	50	57	62	67	59	57	58	0	74	63	0
13	Ryan McDonagh (A)	27				X	100.00	76	44	89	86	77	88	87	74	25	70	48	97	25	72	77	0	71	77	1
14	Colton Parayko	55				X	100.00	80	55	94	87	81	86	99	76	25	67	49	84	25	64	65	0	63	75	0
15	Charlie McAvoy (R)	73				X	100.00	86	55	76	91	75	85	71	75	25	70	51	72	75	57	58	0	50	71	0
16	Trevor van Riemsdyk	57				X	100.00	61	41	91	80	70	72	86	59	25	53	48	71	25	64	65	0	64	65	0
17	Vince Dunn	11				X	100.00	63	41	91	81	68	72	90	75	25	60	49	57	25	53	53	0	73	64	0
Rayé
1	Michael Del Zotto	4				X	100.00	95	46	83	84	71	81	84	65	25	55	49	84	25	75	77	0	56	73	1
2	Christian Djoos	7				X	100.00	61	40	94	80	58	64	81	61	25	53	48	58	25	51	51	0	52	60	0

	MOYENNE D'ÉQUIPE					100.00	74	50	87	82	73	77	86	73	55	69	65	72	43	65	67	0	69	70

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	Marc-Andre Fleury	100.00	88	72	73	70	91	86	78	87	92	88	81	78	83	0	65	81	2
Rayé
1	Troy Grosenick	100.00	56	65	81	70	55	58	50	59	53	52	30	44	44	0	76	56	0
2	Mika Jarvinen	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	0	56	50	0

	MOYENNE D'ÉQUIPE	100.00	65	62	68	63	65	65	59	65	65	63	54	57	59	0	66	62

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bill Peters	60	68	67	99	66	49	68	CAN	54	1	750,000$

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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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

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	Link
Charlie McAvoy	Chicago Blackhawks	D	21	21.12.1997	Yes	208 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	0$	No	Lien
Chris Tierney	Chicago Blackhawks	C	24	01.07.1994	No	195 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$	0$	No	Lien
Christian Djoos	Chicago Blackhawks	D	24	06.08.1994	No	164 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	1,600,000$	1,600,000$	0$	No	Lien
Cole Schneider	Chicago Blackhawks	LW/RW	28	26.08.1990	No	200 Lbs	6 ft1	No	No	No	3	Avec Restriction	Pro & Farm	650,000$	650,000$	0$	No	Lien
Colton Parayko	Chicago Blackhawks	D	26	12.05.1993	No	226 Lbs	6 ft6	No	No	No	2	Avec Restriction	Pro & Farm	6,000,000$	6,000,000$	0$	No	Lien
Jamie Benn	Chicago Blackhawks	C/LW	29	17.07.1989	No	210 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro Only	6,800,000$	6,800,000$	0$	No	Lien
Jannik Hansen	Chicago Blackhawks	LW/RW	33	15.03.1986	No	194 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	2,200,000$	2,200,000$	0$	No	Lien
Jonathan Toews	Chicago Blackhawks	C	31	29.04.1988	No	201 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro Only	10,500,000$	10,500,000$	0$	No	Lien
Kyle Palmieri	Chicago Blackhawks	RW	28	01.02.1991	No	185 Lbs	5 ft10	No	No	No	2	Avec Restriction	Pro & Farm	4,000,000$	4,000,000$	0$	No	Lien
Marc-Andre Fleury	Chicago Blackhawks	G	34	28.11.1984	No	180 Lbs	6 ft2	Yes	No	No	5	Sans Restriction	Pro Only	4,700,000$	4,700,000$	0$	No	Lien
Michael Bournival	Chicago Blackhawks	LW/RW	27	31.05.1992	No	194 Lbs	5 ft11	No	No	No	3	Avec Restriction	Pro & Farm	650,000$	650,000$	0$	No	Lien
Michael Del Zotto	Chicago Blackhawks	D	28	23.06.1990	No	195 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro Only	4,800,000$	4,800,000$	0$	No	Lien
Mika Jarvinen	Chicago Blackhawks	G	30	05.11.1988 06:44:15	No	160 Lbs	5 ft8	No	No	No	1	Avec Restriction	Pro & Farm	450,000$	450,000$	0$	No
Nick Schmaltz	Chicago Blackhawks	C/LW	23	23.02.1996	No	177 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	0$	No	Lien
Patrik Berglund	Chicago Blackhawks	C/LW/RW	31	02.06.1988	No	223 Lbs	6 ft4	No	No	No	3	Sans Restriction	Pro & Farm	3,850,000$	3,850,000$	0$	No	Lien
Pavel Zacha	Chicago Blackhawks	C/LW	22	06.04.1997	No	210 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	0$	No	Lien
Ryan McDonagh	Chicago Blackhawks	D	29	12.06.1989	No	216 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	7,500,000$	7,500,000$	0$	No	Lien
Sean Couturier	Chicago Blackhawks	C	26	06.12.1992	No	211 Lbs	6 ft3	No	No	No	3	Avec Restriction	Pro & Farm	4,333,333$	4,333,333$	0$	No	Lien
Tomas Hertl	Chicago Blackhawks	C/LW	25	12.11.1993	No	215 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	4,400,000$	4,400,000$	0$	No	Lien
Trevor van Riemsdyk	Chicago Blackhawks	D	27	24.07.1991	No	188 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	1,800,000$	1,800,000$	0$	No	Lien
Troy Grosenick	Chicago Blackhawks	G	29	27.08.1989	No	185 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	450,000$	450,000$	0$	No	Lien
Vince Dunn	Chicago Blackhawks	D	22	28.10.1996	No	187 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	850,000$	850,000$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	27.14	197 Lbs	6 ft1	1.86	3,228,788$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
71,033,333$	38,633,333$	24,683,333$	4,700,000$	4,700,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Tomas Hertl	Jamie Benn	Kyle Palmieri	35	1	2	2
2	Patrik Berglund	Sean Couturier	Jannik Hansen	30	1	2	2
3	Nick Schmaltz	Jonathan Toews	Michael Bournival	25	1	2	2
4	Pavel Zacha	Chris Tierney	Cole Schneider	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan McDonagh	Trevor van Riemsdyk	35	1	2	2
2		Charlie McAvoy	30	1	2	2
3	Vince Dunn	Colton Parayko	25	1	2	2
4	Ryan McDonagh		10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Tomas Hertl	Jamie Benn	Kyle Palmieri	60	1	2	2
2	Patrik Berglund	Sean Couturier	Jannik Hansen	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Charlie McAvoy	60	1	2	2
2		Charlie McAvoy	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jamie Benn	Sean Couturier	60	1	2	2
2	Jonathan Toews	Kyle Palmieri	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Ryan McDonagh	60	1	2	2
2		Charlie McAvoy	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Jamie Benn	60	1	2	2		Ryan McDonagh	60	1	2	2
2	Sean Couturier	40	1	2	2		Charlie McAvoy	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jamie Benn	Sean Couturier	60	1	2	2
2	Jonathan Toews	Kyle Palmieri	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Charlie McAvoy	60	1	2	2
2		Charlie McAvoy	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Tomas Hertl	Jamie Benn	Kyle Palmieri	Ryan McDonagh	Trevor van Riemsdyk

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Tomas Hertl	Jamie Benn	Kyle Palmieri	Ryan McDonagh	Trevor van Riemsdyk

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Nick Schmaltz, Chris Tierney, Pavel Zacha	Nick Schmaltz, Chris Tierney	Pavel Zacha

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Vince Dunn, Charlie McAvoy,	Vince Dunn	Ryan McDonagh,

Tirs de Pénalité
Jamie Benn, Sean Couturier, Jonathan Toews, Kyle Palmieri, Tomas Hertl

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

Lignes d'Attaque Perso. en Prol.
Jamie Benn, Kyle Palmieri, Sean Couturier, Tomas Hertl, Jonathan Toews, Nick Schmaltz, Nick Schmaltz, Chris Tierney, Pavel Zacha, Patrik Berglund, Jannik Hansen

Lignes de Défense Perso. en Prol.
, Charlie McAvoy, Trevor van Riemsdyk, Vince Dunn, 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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			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
0	0	N/A	0	0	0	0	0	0	0	0	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
0	0	0.00%	0	0	0.00%	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
0	0	0	0	0	0	0	0

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
0	0	0.00%	0	0	0.00%	0	0	0.00%

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
0	0	0	0	0	0

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	RI	Lien

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	8500	5000	2000	4000	1000
Prix des Billets	140	80	50	35	250
Assistance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
41	0 - 0.00%	0$	0$	20500	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	71,033,333$	58,139,167$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0$	22	0

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

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	118,541,901$	118,541,901$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Jamie Benn	AGE:29	PO:0	OV:79
Tomas Hertl	AGE:25	PO:0	OV:73
Patrik Berglund	AGE:31	PO:0	OV:72
Nick Schmaltz	AGE:23	PO:0	OV:71
Pavel Zacha	AGE:22	PO:0	OV:68
Jannik Hansen	AGE:33	PO:0	OV:64
Cole Schneider	AGE:28	PO:0	OV:63
Michael Bournival	AGE:27	PO:0	OV:63
Jordan Nolan	AGE:29	PO:0	OV:61
Connor Brickley	AGE:27	PO:0	OV:61
Robbie Baillargeon	AGE:25	PO:0	OV:49
John McCarron	AGE:27	PO:0	OV:48
*Christopher Clapperton	AGE:25	PO:0	OV:48

Jamie Benn	AGE:29	PO:0	OV:79
Sean Couturier	AGE:26	PO:0	OV:78
Jonathan Toews	AGE:31	PO:0	OV:76
Tomas Hertl	AGE:25	PO:0	OV:73
Patrik Berglund	AGE:31	PO:0	OV:72
Nick Schmaltz	AGE:23	PO:0	OV:71
Chris Tierney	AGE:24	PO:0	OV:70
Pavel Zacha	AGE:22	PO:0	OV:68
Travis Boyd	AGE:25	PO:0	OV:62
Corban Knight	AGE:28	PO:0	OV:62
Josh Jooris	AGE:28	PO:0	OV:62
Connor Brickley	AGE:27	PO:0	OV:61
*Mitchell Stephens	AGE:22	PO:0	OV:61
Mark McNeill	AGE:26	PO:0	OV:60
Michael Latta	AGE:28	PO:0	OV:57
Steven Whitney	AGE:28	PO:0	OV:49
*Alex Schoenborn	AGE:23	PO:0	OV:48
*Yan-Pavel Laplante	AGE:24	PO:0	OV:48
*Christopher Clapperton	AGE:25	PO:0	OV:48
*Jacob Jackson	AGE:24	PO:0	OV:48

Kyle Palmieri	AGE:28	PO:0	OV:74
Patrik Berglund	AGE:31	PO:0	OV:72
Jannik Hansen	AGE:33	PO:0	OV:64
Cole Schneider	AGE:28	PO:0	OV:63
Michael Bournival	AGE:27	PO:0	OV:63
Travis Boyd	AGE:25	PO:0	OV:62
Josh Jooris	AGE:28	PO:0	OV:62
Jordan Nolan	AGE:29	PO:0	OV:61
Connor Brickley	AGE:27	PO:0	OV:61
Mark McNeill	AGE:26	PO:0	OV:60
Alexandre Grenier	AGE:27	PO:0	OV:59
*Alex Schoenborn	AGE:23	PO:0	OV:48
Michael Parks	AGE:27	PO:0	OV:48
Brian O'Neill	AGE:31	PO:0	OV:48
Sean Backman	AGE:33	PO:0	OV:48
David Pacan	AGE:28	PO:0	OV:48

Défense #1

Défense #2

Gardien

Ryan McDonagh	AGE:29	PO:0	OV:77
Colton Parayko	AGE:26	PO:0	OV:75
Michael Del Zotto	AGE:28	PO:0	OV:73
*Charlie McAvoy	AGE:21	PO:0	OV:71
Trevor van Riemsdyk	AGE:27	PO:0	OV:65
Vince Dunn	AGE:22	PO:0	OV:64
Chad Ruhwedel	AGE:29	PO:0	OV:62
Christian Djoos	AGE:24	PO:0	OV:60
*Alexandre Carrier	AGE:22	PO:0	OV:59

Ryan Stanton	AGE:29	PO:0	OV:57
Josh Wesley	AGE:23	PO:0	OV:55
Joonas Lyytinen	AGE:24	PO:0	OV:52
Dylan Labbe	AGE:24	PO:0	OV:49
Bryan Young	AGE:32	PO:0	OV:48
*Pontus Sjalin	AGE:22	PO:0	OV:48
*Anthony Florentino	AGE:24	PO:0	OV:48
David Makowski	AGE:29	PO:0	OV:48
Martin Gernat	AGE:26	PO:0	OV:48

Marc-Andre Fleury	AGE:34	PO:0	OV:81
Troy Grosenick	AGE:29	PO:0	OV:56
Mika Jarvinen	AGE:30	PO:0	OV:50
Dan Bakala	AGE:31	PO:0	OV:49
Cal Heeter	AGE:30	PO:0	OV:49
Igor Bobkov	AGE:28	PO:0	OV:49

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
Andong Song	Chicago Blackhawks	2015	189
Arvid Henrikson	Chicago Blackhawks	2016	195
Arvid Holm	Chicago Blackhawks	2017	185
Ben Jones	Chicago Blackhawks	2017	216
Blake McLaughlin	Chicago Blackhawks	2018	66
Brandon Saigeon	Chicago Blackhawks	2018	128
Cameron Crotty	Chicago Blackhawks	2017	92
Filip Zadina	Chicago Blackhawks	2018	3
Jack Adams	Chicago Blackhawks	2017	154
Jacob Bernard-Docker	Chicago Blackhawks	2018	35
Joey Anderson	Chicago Blackhawks	2016	75
Logan Cockerill	Chicago Blackhawks	2017	123
Maxwell Gildon	Chicago Blackhawks	2017	61
Michael Pezzetta	Chicago Blackhawks	2016	165
Mike Robinson	Chicago Blackhawks	2015	99
Mitchell Mattson	Chicago Blackhawks	2016	135
Pascal Laberge	Chicago Blackhawks	2016	45
Pavel Karnaukhov	Chicago Blackhawks	2015	159
Roman Durny	Chicago Blackhawks	2018	159
Shane Bowers	Chicago Blackhawks	2017	30
Xavier Bernard	Chicago Blackhawks	2018	97
Yegor Sharangovich	Chicago Blackhawks	2018	190

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2019	CHI	CHI	CHI	CHI	CHI	CHI	CHI
2020	CHI	CHI	CHI	CHI	CHI	CHI	CHI
2021	CHI	CHI	CHI	CHI	CHI	CHI	CHI
2022	CHI	CHI	CHI	CHI	CHI	CHI	CHI
2023	CHI	CHI	CHI	CHI	CHI	CHI	CHI

[08.04.2019 23:05:15] - Indianapolis Knights didn't make playoff for year 2018.
[08.04.2019 23:05:15] - Chicago Blackhawks didn't make playoff for year 2018.
[18.02.2019 22:24:01] - New Record for Team's Most Hits (38) in 1 Game for Chicago Blackhawks!
[08.11.2018 21:30:59] - Martin Gernat signed with Chicago Blackhawks for 450.000 € for 1 year(s) / Signing Bonus of 175.000 €.
[08.11.2018 21:30:59] - Martin Gernat was added to Chicago Blackhawks.
[02.10.2018 18:41:14] - Indianapolis Knights hired Rob Brind'Amour for 250.000 € for 1 year(s).
[02.10.2018 18:40:14] - Chicago Blackhawks hired Bill Peters for 750.000 € for 1 year(s).
[02.10.2018 18:39:20] - Chicago Blackhawks fired Ulf Samuelsson.
[28.09.2018 23:12:08] - Chicago Blackhawks hired Ulf Samuelsson for 750.000 € for 1 year(s).

[11.04.2019 22:32:34] Chad Ruhwedel from Indianapolis Knights is back from Left Leg Injury.
[08.04.2019 23:04:26] Troy Grosenick from Chicago Blackhawks is back from Exhaustion.
[08.04.2019 23:04:26] Michael Del Zotto from Chicago Blackhawks is back from Exhaustion.
[07.04.2019 22:43:12] Troy Grosenick from Chicago Blackhawks injured (Exhaustion)
[07.04.2019 22:43:12] Michael Del Zotto from Chicago Blackhawks is injured from Exhaustion.
[06.04.2019 23:05:44] Robbie Baillargeon from Indianapolis Knights is back from Strained Back Injury.
[03.04.2019 22:30:58] Kyle Palmieri from Chicago Blackhawks has scored a Hat Trick!
[03.04.2019 22:30:52] Auto Lines Partial Function has been run for Chicago Blackhawks.
[03.04.2019 22:30:52] Auto Roster Partial Function has been run for Chicago Blackhawks.
[03.04.2019 22:30:52] Chicago Blackhawks roster errors : Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.
[02.04.2019 21:16:51] Marc-Andre Fleury from Chicago Blackhawks is back from Exhaustion.

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