Stanley Cup Winners Hockey League

CHICAGO Blackhawks
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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	Âge	Contrat	Salaire
1	Jacob de la Rose	0	X	X			100.00	83	42	88	61	86	74	79	62	77	60	56	71	62	69	65	74	99	69	0	25	2	900,000$
2	Seth Griffith	0	X		X		100.00	52	46	88	65	67	87	89	64	59	63	61	62	65	73	67	58	99	68	0	27	1	750,000$
3	Michael Sgarbossa	0	X				100.00	59	46	87	62	71	78	75	63	74	62	61	64	62	75	68	54	99	67	0	28	1	750,000$
4	Alexandre Texier (R)	0	X				100.00	59	40	85	68	76	83	62	67	71	66	66	59	68	61	62	74	99	67	0	20	3	750,000$
5	Taylor Leier	0		X			100.00	53	45	88	60	68	81	83	62	56	58	61	59	60	71	66	57	99	66	0	26	1	750,000$
6	Remi Elie	0		X			100.00	64	43	86	61	80	72	69	58	53	57	59	60	62	69	65	72	99	65	0	25	1	750,000$
7	Mitchell Stephens (R)	0	X				100.00	59	45	89	61	72	77	73	63	76	60	60	62	64	65	63	77	99	65	0	23	3	750,000$
8	Martin Marincin	0				X	100.00	69	43	88	62	93	75	71	59	30	61	57	65	51	75	69	59	99	68	0	28	1	750,000$
9	Dillon Heatherington	0				X	100.00	68	52	86	59	90	82	80	57	30	58	56	60	51	69	75	68	99	68	0	25	1	750,000$
10	Thomas Hickey	0				X	100.00	58	42	86	63	71	78	67	62	30	60	57	68	55	79	69	66	99	66	0	31	2	2,500,000$
11	Connor Carrick	0				X	100.00	59	43	85	63	71	75	73	61	30	62	57	58	54	71	67	54	99	65	0	26	2	1,200,000$
12	Kevin Gravel	0				X	100.00	66	43	84	59	87	72	67	58	30	57	56	64	53	75	68	53	99	65	0	28	1	750,000$
Rayé
1	Samuel Blais (R)	0		X			100.00	90	48	87	66	81	69	70	65	53	61	64	67	66	67	65	51	99	69	0	24	4	1,300,000$
2	JC Lipon	0			X		100.00	56	67	69	60	71	87	88	58	55	57	57	56	60	73	67	54	99	66	0	27	0	0$
3	Brett Seney	0	X				100.00	55	46	79	64	65	79	78	63	68	62	59	57	63	67	64	56	99	65	0	24	2	750,000$
4	Jayden Halbgewachs	0		X			100.00	53	42	87	62	60	86	88	61	57	59	58	53	62	65	63	61	99	65	0	23	2	750,000$
5	Adam Mascherin	0		X			100.00	50	44	88	57	61	82	84	55	53	58	56	52	57	63	62	64	99	62	0	22	2	750,000$
6	Carl Dahlstrom	0				X	100.00	57	45	83	59	93	82	71	58	30	63	50	69	46	69	65	66	99	66	0	25	1	850,000$
7	Lawrence Pilut	0				X	100.00	59	42	87	64	71	79	77	62	30	63	58	61	54	69	65	54	99	66	0	24	1	750,000$

	MOYENNE D'ÉQUIPE					100.00	62	45	85	62	75	79	76	61	51	60	58	61	59	70	66	62	99	66

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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
Rayé
1	Scott Wedgewood	100.00	69	85	83	80	68	67	69	68	67	69	68	75	81	53	99	66	0

	MOYENNE D'ÉQUIPE	100.00	69	85	83	80	68	67	69	68	67	69	68	75	81	53	99	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Glen Gulutzan	72	72	72	72	78	78	74	CAN	49	3	500,000$

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	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	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Link
Adam Mascherin	ROCKFORD IceHogs (CHI)	LW	22	6/6/1998	No	91 Kg	155 CM	No	No	No	2	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$					Lien
Alexandre Texier	ROCKFORD IceHogs (CHI)	C	20	9/13/1999	Yes	87 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$
Brett Seney	ROCKFORD IceHogs (CHI)	C	24	2/29/1996	No	71 Kg	175 CM	No	No	No	2	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$					Lien
Carl Dahlstrom	ROCKFORD IceHogs (CHI)	D	25	1/28/1995	No	105 Kg	193 CM	No	No	No	1	Pro & Farm	850,000$	850,000$	750,000$	750,000$	0$	0$	No						Lien
Connor Carrick	ROCKFORD IceHogs (CHI)	D	26	4/13/1994	No	87 Kg	180 CM	No	No	No	2	Pro & Farm	1,200,000$	1,200,000$	1,200,000$	1,200,000$	0$	0$	No	1,200,000$					Lien
Dillon Heatherington	ROCKFORD IceHogs (CHI)	D	25	5/9/1995	No	100 Kg	193 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
JC Lipon	ROCKFORD IceHogs (CHI)	RW	27	7/10/1993	No	83 Kg	183 CM	No	No	No	0	Pro & Farm					0$	0$	No						Lien
Jacob de la Rose	ROCKFORD IceHogs (CHI)	C/LW	25	5/20/1995	No	98 Kg	191 CM	No	No	No	2	Pro & Farm	900,000$	900,000$	900,000$	900,000$	0$	0$	No	900,000$					Lien
Jayden Halbgewachs	ROCKFORD IceHogs (CHI)	LW	23	3/22/1997	No	73 Kg	173 CM	No	No	No	2	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$					Lien
Kevin Gravel	ROCKFORD IceHogs (CHI)	D	28	3/6/1992	No	93 Kg	193 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Lawrence Pilut	ROCKFORD IceHogs (CHI)	D	24	12/30/1995	No	88 Kg	180 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Martin Marincin	ROCKFORD IceHogs (CHI)	D	28	2/18/1992	No	99 Kg	196 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Michael Sgarbossa	ROCKFORD IceHogs (CHI)	C	28	7/25/1992	No	84 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Mitchell Stephens	ROCKFORD IceHogs (CHI)	C	23	2/5/1997	Yes	88 Kg	180 CM	No	No	No	3	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$
Remi Elie	ROCKFORD IceHogs (CHI)	LW	25	4/16/1995	No	98 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Samuel Blais	ROCKFORD IceHogs (CHI)	LW	24	6/17/1996	Yes	88 Kg	185 CM	No	No	No	4	Pro & Farm	1,300,000$	1,300,000$	750,000$	750,000$	0$	0$	No	1,300,000$	1,300,000$	1,300,000$
Scott Wedgewood	ROCKFORD IceHogs (CHI)	G	28	8/14/1992	No	96 Kg	185 CM	No	No	No	6	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	Lien
Seth Griffith	ROCKFORD IceHogs (CHI)	C/RW	27	1/4/1993	No	86 Kg	175 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Taylor Leier	ROCKFORD IceHogs (CHI)	LW	26	2/15/1994	No	82 Kg	180 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Thomas Hickey	ROCKFORD IceHogs (CHI)	D	31	2/8/1989	No	83 Kg	183 CM	No	No	No	2	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	2,500,000$	0$	0$	No	2,500,000$					Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	25.45	89 Kg	183 CM	1.85	862,500$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1			Alexandre Texier	31	1	2	2
2	Taylor Leier	Seth Griffith		26	1	2	2
3	Remi Elie	Michael Sgarbossa	Seth Griffith	23	1	2	2
4		Alexandre Texier	Seth Griffith	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Martin Marincin	Dillon Heatherington	31	1	2	2
2	Thomas Hickey		26	1	2	2
3		Connor Carrick	23	1	2	2
4	Kevin Gravel	Martin Marincin	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1			Seth Griffith	55	1	2	2
2	Taylor Leier	Seth Griffith		45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Martin Marincin	Dillon Heatherington	55	1	2	2
2	Thomas Hickey		45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			55	1	2	2
2	Seth Griffith	Taylor Leier	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Martin Marincin	Dillon Heatherington	55	1	2	2
2	Thomas Hickey		45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		55	1	2	2	Martin Marincin	Dillon Heatherington	55	1	2	2
2	Seth Griffith	45	1	2	2	Thomas Hickey		45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			55	1	2	2
2	Seth Griffith	Taylor Leier	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Martin Marincin	Dillon Heatherington	55	1	2	2
2	Thomas Hickey		45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
		Seth Griffith	Martin Marincin	Dillon Heatherington

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
		Seth Griffith	Martin Marincin	Dillon Heatherington

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Alexandre Texier, , Taylor Leier	Alexandre Texier,	Alexandre Texier

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Connor Carrick, Kevin Gravel		, Connor Carrick

Tirs de Pénalité
, , Seth Griffith, Michael Sgarbossa, Alexandre Texier

Gardien
#1 : , #2 :

Lignes d'Attaque Perso. en Prol.
, , Seth Griffith, Michael Sgarbossa, Alexandre Texier, , , Taylor Leier, Remi Elie, ,

Lignes de Défense Perso. en Prol.
Martin Marincin, Dillon Heatherington, Thomas Hickey, ,

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
1 - 2021-01-16	5	ROCKFORD IceHogs	-	BRIDGEPORT Sound Tigers	-
3 - 2021-01-18	15	COLORADO Eagles	-	ROCKFORD IceHogs	-
6 - 2021-01-21	32	ST-ANTONIO Rampage	-	ROCKFORD IceHogs	-
10 - 2021-01-25	53	LAVAL Rocket	-	ROCKFORD IceHogs	-
16 - 2021-01-31	81	COLORADO Eagles	-	ROCKFORD IceHogs	-
22 - 2021-02-06	105	HERSEY Bears	-	ROCKFORD IceHogs	-
24 - 2021-02-08	111	ROCKFORD IceHogs	-	MILWAUKEE Admirals	-
26 - 2021-02-10	128	ROCKFORD IceHogs	-	LAVAL Rocket	-
27 - 2021-02-11	132	ROCKFORD IceHogs	-	SAN DIEGO Gulls	-
28 - 2021-02-12	137	BRIDGEPORT Sound Tigers	-	ROCKFORD IceHogs	-
32 - 2021-02-16	157	ROCKFORD IceHogs	-	MILWAUKEE Admirals	-
33 - 2021-02-17	163	CAROLINA Checkers	-	ROCKFORD IceHogs	-
36 - 2021-02-20	179	ROCKFORD IceHogs	-	TUSCON Roadrunners	-
37 - 2021-02-21	188	UTICA Comets	-	ROCKFORD IceHogs	-
42 - 2021-02-26	212	TORONTO Marlies	-	ROCKFORD IceHogs	-
46 - 2021-03-02	233	ROCKFORD IceHogs	-	IOWA Wild	-
47 - 2021-03-03	237	SYRACUSE Crunch	-	ROCKFORD IceHogs	-
50 - 2021-03-06	252	ROCKFORD IceHogs	-	STOCKTON Flames	-
51 - 2021-03-07	263	BRIDGEPORT Sound Tigers	-	ROCKFORD IceHogs	-
54 - 2021-03-10	280	ROCKFORD IceHogs	-	BRIDGEPORT Sound Tigers	-
56 - 2021-03-12	287	BINGHAMTON Devils	-	ROCKFORD IceHogs	-
59 - 2021-03-15	302	ROCKFORD IceHogs	-	CHICAGO Wolves	-
62 - 2021-03-18	315	CAROLINA Checkers	-	ROCKFORD IceHogs	-
64 - 2021-03-20	332	ROCKFORD IceHogs	-	BELLEVILLE Senators	-
66 - 2021-03-22	341	GRAND RAPIDS Griffins	-	ROCKFORD IceHogs	-
68 - 2021-03-24	355	ROCKFORD IceHogs	-	BRIDGEPORT Sound Tigers	-
70 - 2021-03-26	367	CHICAGO Wolves	-	ROCKFORD IceHogs	-
73 - 2021-03-29	384	ROCKFORD IceHogs	-	UTICA Comets	-
75 - 2021-03-31	392	BELLEVILLE Senators	-	ROCKFORD IceHogs	-
80 - 2021-04-05	414	ROCKFORD IceHogs	-	LAVAL Rocket	-
81 - 2021-04-06	422	ONTARIO Reign	-	ROCKFORD IceHogs	-
86 - 2021-04-11	444	SCRANTON Penguins	-	ROCKFORD IceHogs	-
88 - 2021-04-13	456	ROCKFORD IceHogs	-	ST-ANTONIO Rampage	-
90 - 2021-04-15	465	ROCKFORD IceHogs	-	SCRANTON Penguins	-
91 - 2021-04-16	474	ST-ANTONIO Rampage	-	ROCKFORD IceHogs	-
94 - 2021-04-19	496	ST-ANTONIO Rampage	-	ROCKFORD IceHogs	-
95 - 2021-04-20	502	ROCKFORD IceHogs	-	SAN DIEGO Gulls	-
99 - 2021-04-24	522	MANITOBA Moose	-	ROCKFORD IceHogs	-
102 - 2021-04-27	541	ROCKFORD IceHogs	-	BINGHAMTON Devils	-
103 - 2021-04-28	548	LEHIGH VALLEY Phantoms	-	ROCKFORD IceHogs	-
106 - 2021-05-01	565	ROCKFORD IceHogs	-	HERSEY Bears	-
107 - 2021-05-02	574	TUSCON Roadrunners	-	ROCKFORD IceHogs	-
112 - 2021-05-07	596	ROCKFORD IceHogs	-	GRAND RAPIDS Griffins	-
113 - 2021-05-08	602	TUSCON Roadrunners	-	ROCKFORD IceHogs	-
116 - 2021-05-11	615	ROCKFORD IceHogs	-	TORONTO Marlies	-
117 - 2021-05-12	627	BAKERSFIELD Condors	-	ROCKFORD IceHogs	-
120 - 2021-05-15	638	ROCKFORD IceHogs	-	COLORADO Eagles	-
122 - 2021-05-17	651	ROCKFORD IceHogs	-	MILWAUKEE Admirals	-
123 - 2021-05-18	655	PROVIDENCE Bruins	-	ROCKFORD IceHogs	-
126 - 2021-05-21	672	ROCKFORD IceHogs	-	TORONTO Marlies	-
128 - 2021-05-23	680	ROCKFORD IceHogs	-	STOCKTON Flames	-
129 - 2021-05-24	685	UTICA Comets	-	ROCKFORD IceHogs	-
133 - 2021-05-28	707	SAN DIEGO Gulls	-	ROCKFORD IceHogs	-
134 - 2021-05-29	715	ROCKFORD IceHogs	-	BAKERSFIELD Condors	-
138 - 2021-06-02	733	HERSEY Bears	-	ROCKFORD IceHogs	-
142 - 2021-06-06	754	ROCKFORD IceHogs	-	SYRACUSE Crunch	-
143 - 2021-06-07	758	IOWA Wild	-	ROCKFORD IceHogs	-
148 - 2021-06-12	782	BROOKLYN Wolfpack	-	ROCKFORD IceHogs	-
150 - 2021-06-14	793	ROCKFORD IceHogs	-	ST-ANTONIO Rampage	-
152 - 2021-06-16	806	SAN DIEGO Gulls	-	ROCKFORD IceHogs	-
153 - 2021-06-17	812	ROCKFORD IceHogs	-	ONTARIO Reign	-
156 - 2021-06-20	823	ROCKFORD IceHogs	-	BROOKLYN Wolfpack	-
158 - 2021-06-22	835	BELLEVILLE Senators	-	ROCKFORD IceHogs	-
160 - 2021-06-24	846	ROCKFORD IceHogs	-	BROOKLYN Wolfpack	-
163 - 2021-06-27	862	COLORADO Eagles	-	ROCKFORD IceHogs	-
164 - 2021-06-28	868	ROCKFORD IceHogs	-	PROVIDENCE Bruins	-
166 - 2021-06-30	876	ROCKFORD IceHogs	-	COLORADO Eagles	-
169 - 2021-07-03	889	ROCKFORD IceHogs	-	TUSCON Roadrunners	-
170 - 2021-07-04	896	LAVAL Rocket	-	ROCKFORD IceHogs	-
173 - 2021-07-07	911	ROCKFORD IceHogs	-	MANITOBA Moose	-
174 - 2021-07-08	918	ROCKFORD IceHogs	-	PROVIDENCE Bruins	-
176 - 2021-07-10	927	COLORADO Eagles	-	ROCKFORD IceHogs	-
180 - 2021-07-14	945	ROCKFORD IceHogs	-	LEHIGH VALLEY Phantoms	-
182 - 2021-07-16	954	STOCKTON Flames	-	ROCKFORD IceHogs	-
184 - 2021-07-18	967	ROCKFORD IceHogs	-	CAROLINA Checkers	-
185 - 2021-07-19	972	ROCKFORD IceHogs	-	SAN DIEGO Gulls	-
187 - 2021-07-21	983	LAVAL Rocket	-	ROCKFORD IceHogs	-
191 - 2021-07-25	1003	MILWAUKEE Admirals	-	ROCKFORD IceHogs	-
196 - 2021-07-30	1024	MILWAUKEE Admirals	-	ROCKFORD IceHogs	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
197 - 2021-07-31	1029	ROCKFORD IceHogs	-	CAROLINA Checkers	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	0.00%	0.00%
Assistance PCT	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
40	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	1,725,000$	1,660,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	200	8,625$	1,725,000$

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
34	80	33	27	0	6	6	5	3	228	197	31	40	13	16	0	4	3	2	2	109	96	13	40	20	11	0	2	3	3	1	119	101	18	97	228	412	640	2	6	94	67	56	17	2590	858	839	851	77	2061	597	622	1348	273	39	14.29%	250	43	82.80%	2	1581	2795	56.57%	1246	2391	52.11%	649	1160	55.95%	2121	1532	1752	547	994	510
34	80	33	27	0	6	6	5	3	228	197	31	40	13	16	0	4	3	2	2	109	96	13	40	20	11	0	2	3	3	1	119	101	18	97	228	412	640	2	6	94	67	56	17	2590	858	839	851	77	2061	597	622	1348	273	39	14.29%	250	43	82.80%	2	1581	2795	56.57%	1246	2391	52.11%	649	1160	55.95%	2121	1532	1752	547	994	510
Total Saison Régulière	160	66	54	0	12	12	10	6	456	394	62	80	26	32	0	8	6	4	4	218	192	26	80	40	22	0	4	6	6	2	238	202	36	194	456	824	1280	4	12	188	134	112	34	5180	1716	1678	1702	154	4122	1194	1244	2696	546	78	14.29%	500	86	82.80%	4	3162	5590	56.57%	2492	4782	52.11%	1298	2320	55.95%	4243	3065	3505	1095	1989	1021
Séries
34	4	0	4	0	0	0	0	0	7	13	-6	2	0	2	0	0	0	0	0	3	7	-4	2	0	2	0	0	0	0	0	4	6	-2	0	7	13	20	0	0	1	4	2	0	106	24	40	31	11	147	44	34	73	14	2	14.29%	13	2	84.62%	0	29	115	25.22%	39	165	23.64%	24	66	36.36%	98	69	119	31	52	26
Total Séries	4	0	4	0	0	0	0	0	7	13	-6	2	0	2	0	0	0	0	0	3	7	-4	2	0	2	0	0	0	0	0	4	6	-2	0	7	13	20	0	0	1	4	2	0	106	24	40	31	11	147	44	34	73	14	2	14.29%	13	2	84.62%	0	29	115	25.22%	39	165	23.64%	24	66	36.36%	98	69	119	31	52	26