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
1	Jacob de la Rose	0	X	X			100.00	69	35	74	64	87	78	73	63	75	64	62	70	63	57	52	75	93	68	0
2	Travis Boyd (R)	0	X				100.00	58	35	76	68	69	73	68	68	68	71	64	66	66	52	51	47	96	66	0
3	Robby Fabbri	0	X	X			100.00	64	35	76	63	68	77	66	63	59	63	61	59	62	56	52	81	99	64	0
4	Brett Seney	0	X				100.00	61	41	68	68	61	67	90	67	65	62	60	57	62	52	51	49	99	64	0
5	Sammy Blais	0		X			100.00	75	35	70	66	81	63	66	66	60	62	62	56	63	52	51	49	99	64	0
6	Martin Frk	0			X		100.00	64	35	72	66	78	66	65	66	50	63	61	57	63	54	51	69	99	63	0
7	Remi Elie	0		X			100.00	63	35	73	65	80	60	58	65	59	62	61	58	62	54	51	73	99	62	0
8	Michael Sgarbossa	0	X				100.00	50	89	52	70	72	50	50	70	70	66	66	50	66	52	51	37	99	60	0
9	Taylor Leier	0		X			100.00	50	89	63	70	68	50	50	70	50	64	64	53	64	52	51	57	99	60	0
10	Seth Griffith	0	X		X		100.00	50	89	66	70	67	50	50	70	50	60	60	50	60	53	51	55	99	58	0
11	Adam Mascherin (R)	0		X			100.00	50	89	66	70	61	50	50	70	50	60	60	53	60	50	50	44	99	58	0
12	Axel Holmstrom (R)	0	X				100.00	51	89	72	66	74	50	50	66	70	58	58	51	58	50	50	44	99	58	0
13	JC Lipon (R)	0			X		100.00	50	89	45	67	71	50	50	67	50	58	58	54	58	50	50	60	99	57	0
14	Thomas Hickey	0				X	100.00	66	44	75	61	71	80	70	61	30	59	54	79	63	68	55	71	99	66	0
15	Connor Carrick	0				X	100.00	62	44	77	66	71	76	67	65	30	64	58	67	67	58	52	55	99	65	0
16	Martin Marincin	0				X	100.00	65	35	78	62	92	71	62	62	31	58	54	69	63	58	52	62	99	64	0
17	Carl Dahlstrom (R)	0				X	100.00	65	35	77	64	93	70	69	63	30	56	50	67	61	52	51	69	99	64	0
18	Kevin Gravel	0				X	100.00	64	35	80	60	89	73	68	60	30	57	53	74	62	54	51	46	99	64	0
19	Lawrence Pilut (R)	0				X	100.00	56	35	74	67	68	66	66	67	30	56	52	63	64	51	50	43	99	61	0
Rayé
1	Jayden Halbgewachs (R)	0		X			100.00	50	89	68	70	60	50	50	70	50	53	48	53	58	50	50	44	97	56	0
2	Dillon Heatherington	0				X	100.00	65	35	57	64	91	51	52	64	30	47	42	53	53	50	50	69	97	56	0

	MOYENNE D'ÉQUIPE					100.00	59	54	69	66	75	63	61	66	49	60	58	60	62	54	51	57	98	62

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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	Scott Wedgewood	100.00	78	70	83	79	77	76	78	77	76	77	72	52	65	55	99	67	0
2	Jared Coreau	100.00	72	69	80	96	71	71	72	71	71	71	66	52	62	36	99	65	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	75	70	82	88	74	74	75	74	74	74	69	52	64	46	99	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Glen Gulutzan	73	75	74	73	77	77	78	CAN	48	2	450,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PKM	GW	FO%	FOT	P/20	S1	S2	S3
1	Brett Seney	ROCKFORD IceHogs (CHI)	C	2	2	5	7	7	0	3	1	22	4	8	9.09%	0	29	14.92	0	1	90.62%	32	4.69	0	1	0
2	Sammy Blais	ROCKFORD IceHogs (CHI)	LW	2	2	5	7	7	0	4	0	11	2	10	18.18%	0	29	14.92	0	1	100.00%	1	4.69	1	0	0
3	Kevin Gravel	ROCKFORD IceHogs (CHI)	D	2	0	5	5	7	0	0	0	5	1	4	0.00%	0	34	17.36	0	0	0.00%	0	2.88	0	0	0
4	Lawrence Pilut	ROCKFORD IceHogs (CHI)	D	2	2	3	5	7	0	0	0	8	0	1	25.00%	1	32	16.43	0	0	0.00%	0	3.04	0	1	0
5	Martin Frk	ROCKFORD IceHogs (CHI)	RW	2	3	1	4	3	2	16	3	31	5	15	9.68%	0	36	18.02	0	0	0.00%	0	2.22	0	0	2
6	Connor Carrick	ROCKFORD IceHogs (CHI)	D	2	0	4	4	3	0	2	0	4	1	2	0.00%	0	45	22.62	1	0	0.00%	0	1.77	0	0	0
7	Thomas Hickey	ROCKFORD IceHogs (CHI)	D	2	1	2	3	3	0	0	1	5	1	1	20.00%	0	45	22.62	1	0	0.00%	0	1.33	0	0	0
8	Carl Dahlstrom	ROCKFORD IceHogs (CHI)	D	2	1	2	3	2	0	7	0	6	0	8	16.67%	0	38	19.48	2	0	0.00%	0	1.54	0	0	0
9	Axel Holmstrom	ROCKFORD IceHogs (CHI)	C	2	2	0	2	2	2	2	2	12	4	10	16.67%	1	23	11.58	0	0	100.00%	16	1.73	0	0	0
10	Michael Sgarbossa	ROCKFORD IceHogs (CHI)	C	2	1	0	1	0	0	2	2	9	4	15	11.11%	0	26	13.48	0	0	92.86%	28	0.74	0	0	0
11	Remi Elie	ROCKFORD IceHogs (CHI)	LW	2	0	0	0	0	0	4	2	13	5	20	0.00%	0	26	13.48	0	0	0.00%	0	0.00	0	0	0
12	Taylor Leier	ROCKFORD IceHogs (CHI)	LW	2	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0.54	0	0	0.00%	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				24	14	27	41	41	4	40	11	126	27	94	11.11%	2	370	15.45	5	2	93.51%	77	2.21	1	2	2

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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
Stats d'équipe Total ou en Moyenne							0.000	0.00	0								0.000

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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	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	Link
Adam Mascherin	ROCKFORD IceHogs (CHI)	LW	21	1998-06-06	Yes	91 Kg	155 CM	No	No	No	2	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$			Lien
Axel Holmstrom	ROCKFORD IceHogs (CHI)	C	23	1996-06-29	Yes	90 Kg	183 CM	No	No	No	2	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$			Lien
Brett Seney	ROCKFORD IceHogs (CHI)	C	23	1996-02-29	No	71 Kg	175 CM	No	No	No	2	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$			Lien
Carl Dahlstrom	ROCKFORD IceHogs (CHI)	D	24	1995-01-28	Yes	105 Kg	193 CM	No	No	No	2	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$			Lien
Connor Carrick	ROCKFORD IceHogs (CHI)	D	25	1994-04-13	No	87 Kg	180 CM	No	No	No	1	Pro & Farm	1,300,000$	1,276,576$	1,300,000$	1,276,576$	0$	0$	No				Lien
Dillon Heatherington	ROCKFORD IceHogs (CHI)	D	24	1995-05-09	No	102 Kg	193 CM	No	No	No	1	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No				Lien
JC Lipon	ROCKFORD IceHogs (CHI)	RW	26	1993-07-10	Yes	83 Kg	183 CM	No	No	No	2	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$			Lien
Jacob de la Rose	ROCKFORD IceHogs (CHI)	C/LW	24	1995-05-20	No	98 Kg	191 CM	No	No	No	1	Pro & Farm	900,000$	883,783$	900,000$	883,783$	0$	0$	No				Lien
Jared Coreau	ROCKFORD IceHogs (CHI)	G	27	1991-11-05	No	100 Kg	198 CM	No	No	No	2	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$			Lien
Jayden Halbgewachs	ROCKFORD IceHogs (CHI)	LW	22	1997-03-22	Yes	73 Kg	173 CM	No	No	No	2	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$			Lien
Kevin Gravel	ROCKFORD IceHogs (CHI)	D	27	1992-03-06	No	96 Kg	193 CM	No	No	No	1	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No				Lien
Lawrence Pilut	ROCKFORD IceHogs (CHI)	D	23	1995-12-30	Yes	82 Kg	180 CM	No	No	No	2	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$			Lien
Martin Frk	ROCKFORD IceHogs (CHI)	RW	25	1993-10-05	No	93 Kg	185 CM	No	No	No	1	Pro & Farm	1,050,000$	1,031,081$	1,050,000$	1,031,081$	0$	0$	No				Lien
Martin Marincin	ROCKFORD IceHogs (CHI)	D	27	1992-02-18	No	97 Kg	196 CM	No	No	No	3	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$	750,000$		Lien
Michael Sgarbossa	ROCKFORD IceHogs (CHI)	C	27	1992-07-25	No	85 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No				Lien
Remi Elie	ROCKFORD IceHogs (CHI)	LW	24	1995-04-16	No	98 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No				Lien
Robby Fabbri	ROCKFORD IceHogs (CHI)	C/LW	23	1996-01-22	No	86 Kg	178 CM	No	No	No	4	Pro & Farm	900,000$	883,783$	900,000$	883,783$	0$	0$	No	900,000$	900,000$	900,000$	Lien
Sammy Blais	ROCKFORD IceHogs (CHI)	LW	23	1996-06-17	No	93 Kg	188 CM	No	No	No	1	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No				Lien
Scott Wedgewood	ROCKFORD IceHogs (CHI)	G	27	1992-08-14	No	89 Kg	188 CM	No	No	No	2	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$			Lien
Seth Griffith	ROCKFORD IceHogs (CHI)	C/RW	26	1993-01-04	No	86 Kg	175 CM	No	No	No	3	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$	750,000$		Lien
Taylor Leier	ROCKFORD IceHogs (CHI)	LW	25	1994-02-15	No	82 Kg	180 CM	No	No	No	1	Pro & Farm	850,000$	834,684$	850,000$	834,684$	0$	0$	No				Lien
Thomas Hickey	ROCKFORD IceHogs (CHI)	D	30	1989-02-08	No	83 Kg	183 CM	No	No	No	4	Pro & Farm	2,500,000$	2,454,954$	2,500,000$	2,454,954$	0$	0$	No	2,500,000$	2,500,000$	2,500,000$	Lien
Travis Boyd	ROCKFORD IceHogs (CHI)	C	25	1993-09-14	Yes	84 Kg	180 CM	No	No	No	2	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	24.83	89 Kg	183 CM	1.87	880,435$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1			Martin Frk	31	1	2	2
2	Sammy Blais	Brett Seney		26	1	2	2
3	Remi Elie	Michael Sgarbossa		23	1	2	2
4		Axel Holmstrom		20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Thomas Hickey	Connor Carrick	31	1	2	2
2	Carl Dahlstrom		26	1	2	2
3	Kevin Gravel	Lawrence Pilut	23	1	2	2
4	Thomas Hickey	Connor Carrick	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1			Martin Frk	55	1	2	2
2	Sammy Blais	Brett Seney		45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Thomas Hickey	Connor Carrick	55	1	2	2
2	Carl Dahlstrom		45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			55	1	2	2
2	Sammy Blais	Brett Seney	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Thomas Hickey	Connor Carrick	55	1	2	2
2	Carl Dahlstrom		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	Thomas Hickey	Connor Carrick	55	1	2	2
2		45	1	2	2	Carl Dahlstrom		45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			55	1	2	2
2	Sammy Blais	Brett Seney	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Thomas Hickey	Connor Carrick	55	1	2	2
2	Carl Dahlstrom		45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
		Martin Frk	Thomas Hickey	Connor Carrick

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
		Martin Frk	Thomas Hickey	Connor Carrick

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Taylor Leier, Adam Mascherin, Remi Elie	Taylor Leier, Adam Mascherin	Remi Elie

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Kevin Gravel, Lawrence Pilut, Carl Dahlstrom	Kevin Gravel	Lawrence Pilut, Carl Dahlstrom

Tirs de Pénalité
, , Sammy Blais, Brett Seney, Martin Frk

Gardien
#1 : , #2 :

Lignes d'Attaque Perso. en Prol.
, , Sammy Blais, Brett Seney, Martin Frk, Remi Elie, Remi Elie, , Taylor Leier, Michael Sgarbossa, Axel Holmstrom

Lignes de Défense Perso. en Prol.
Thomas Hickey, Connor Carrick, Carl Dahlstrom, , Kevin Gravel

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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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Marlies de Toronto	1	1	0	0	0	0	0	0	10	2	8	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	10	2	8	2	1.000	10	19	29	0	0	7	6	1	0	60	41	44	48	0	11	1	2	24	0	0	0.00%	1	0	100.00%	0	68	82	82.93%	5	9	55.56%	22	31	70.97%	100	90	7	2	12	9
2	SAN DIEGO Gulls	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	4	0	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	1	7	6	1	0	73	41	44	48	0	10	1	2	16	0	0	0.00%	1	0	100.00%	0	68	82	82.93%	5	9	55.56%	22	31	70.97%	100	90	7	2	12	9
	Total	2	2	0	0	0	0	0	0	14	2	12	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	10	2	8	4	1.000	14	27	41	0	1	7	6	1	0	133	41	44	48	0	21	2	4	40	0	0	0.00%	2	0	100.00%	0	68	82	82.93%	5	9	55.56%	22	31	70.97%	100	90	7	2	12	9
	_Since Last GM Reset	2	2	0	0	0	0	0	0	14	2	12	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	10	2	8	4	1.000	14	27	41	0	1	7	6	1	0	133	41	44	48	0	21	2	4	40	0	0	0.00%	2	0	100.00%	0	68	82	82.93%	5	9	55.56%	22	31	70.97%	100	90	7	2	12	9
	_Vs Conference	2	2	0	0	0	0	0	0	14	2	12	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	10	2	8	4	1.000	14	27	41	0	1	7	6	1	0	133	41	44	48	0	21	2	4	40	0	0	0.00%	2	0	100.00%	0	68	82	82.93%	5	9	55.56%	22	31	70.97%	100	90	7	2	12	9

			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
2	4	W2	14	27	41	133	21	2	4	40	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	14	2

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	1	0	0	0	0	0	4	0

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	1	0	0	0	0	0	10	2

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	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%	2	0	100.00%	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
41	44	48	0	7	6	1	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
68	82	82.93%	5	9	55.56%	22	31	70.97%

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
100	90	7	2	12	9

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	Lien
1 - 2020-01-15	3	ROCKFORD IceHogs	10	Marlies de Toronto	2	W	Sommaire du Match
2 - 2020-01-16	19	SAN DIEGO Gulls	0	ROCKFORD IceHogs	4	W	Sommaire du Match
3 - 2020-01-17	36	TUSCON Roadrunners	-	ROCKFORD IceHogs	-
4 - 2020-01-18	48	ROCKFORD IceHogs	-	LAVAL Rockets	-
5 - 2020-01-19	58	ROCKFORD IceHogs	-	COLORADO Eagles	-
7 - 2020-01-21	71	BROOKLYN Wolfpack	-	ROCKFORD IceHogs	-
9 - 2020-01-23	89	ROCKFORD IceHogs	-	BROOKLYN Wolfpack	-
11 - 2020-01-25	97	SAN DIEGO Gulls	-	ROCKFORD IceHogs	-
13 - 2020-01-27	109	MILWAUKEE Admirals	-	ROCKFORD IceHogs	-
15 - 2020-01-29	129	ROCKFORD IceHogs	-	COLORADO Eagles	-
18 - 2020-02-01	142	WILKIES-BARRIE Penguins	-	ROCKFORD IceHogs	-
19 - 2020-02-02	152	ROCKFORD IceHogs	-	MONT-LAURIER Sommet	-
21 - 2020-02-04	160	ROCKFORD IceHogs	-	Manitoba Moose	-
22 - 2020-02-05	175	ROCKFORD IceHogs	-	TUSCON Roadrunners	-
23 - 2020-02-06	180	UTICA Comets	-	ROCKFORD IceHogs	-
24 - 2020-02-07	199	CHICAGO Wolves	-	ROCKFORD IceHogs	-
25 - 2020-02-08	206	ROCKFORD IceHogs	-	PROVIDENCE Bruins	-
26 - 2020-02-09	212	ROCKFORD IceHogs	-	BRIDGEPORT Sound Tigers	-
28 - 2020-02-11	231	LAVAL Rockets	-	ROCKFORD IceHogs	-
29 - 2020-02-12	247	ROCKFORD IceHogs	-	Marlies de Toronto	-
30 - 2020-02-13	257	MILWAUKEE Admirals	-	ROCKFORD IceHogs	-
32 - 2020-02-15	272	ROCKFORD IceHogs	-	SAN DIEGO Gulls	-
33 - 2020-02-16	281	CORNWALL Aces	-	ROCKFORD IceHogs	-
34 - 2020-02-17	302	Syracruse Crunch	-	ROCKFORD IceHogs	-
35 - 2020-02-18	308	ROCKFORD IceHogs	-	HOLLYWOOD Oscar	-
37 - 2020-02-20	320	ROCKFORD IceHogs	-	Manitoba Moose	-
38 - 2020-02-21	338	VICTORIAVILLE Tigres	-	ROCKFORD IceHogs	-
39 - 2020-02-22	355	MONT-LAURIER Sommet	-	ROCKFORD IceHogs	-
41 - 2020-02-24	370	ROCKFORD IceHogs	-	SAN DIEGO Gulls	-
42 - 2020-02-25	379	ROCKFORD IceHogs	-	PV Sharapovas	-
43 - 2020-02-26	386	ROCKFORD IceHogs	-	Syracruse Crunch	-
44 - 2020-02-27	394	BROOKLYN Wolfpack	-	ROCKFORD IceHogs	-
45 - 2020-02-28	410	COLORADO Eagles	-	ROCKFORD IceHogs	-
46 - 2020-02-29	429	ROCKFORD IceHogs	-	PROVIDENCE Bruins	-
47 - 2020-03-01	439	BRIDGEPORT Sound Tigers	-	ROCKFORD IceHogs	-
49 - 2020-03-03	456	STOCKTON Flames	-	ROCKFORD IceHogs	-
50 - 2020-03-04	463	ROCKFORD IceHogs	-	Binghampton Devils	-
52 - 2020-03-06	479	ROCKFORD IceHogs	-	BELLEVILLE Senators	-
53 - 2020-03-07	491	CHICAGO Wolves	-	ROCKFORD IceHogs	-
55 - 2020-03-09	510	PV Sharapovas	-	ROCKFORD IceHogs	-
57 - 2020-03-11	526	ROCKFORD IceHogs	-	BRIDGEPORT Sound Tigers	-
58 - 2020-03-12	535	ROCKFORD IceHogs	-	LAVAL Rockets	-
59 - 2020-03-13	540	HOLLYWOOD Oscar	-	ROCKFORD IceHogs	-
61 - 2020-03-15	564	PROVIDENCE Bruins	-	ROCKFORD IceHogs	-
62 - 2020-03-16	578	ROCKFORD IceHogs	-	BROOKLYN Wolfpack	-
63 - 2020-03-17	590	IOWA Wild	-	ROCKFORD IceHogs	-
64 - 2020-03-18	604	ROCKFORD IceHogs	-	Marlies de Toronto	-
65 - 2020-03-19	616	SAN DIEGO Gulls	-	ROCKFORD IceHogs	-
67 - 2020-03-21	633	COLORADO Eagles	-	ROCKFORD IceHogs	-
68 - 2020-03-22	650	TUSCON Roadrunners	-	ROCKFORD IceHogs	-
69 - 2020-03-23	655	ROCKFORD IceHogs	-	STOCKTON Flames	-
70 - 2020-03-24	675	ROCKFORD IceHogs	-	MONT-LAURIER Sommet	-
71 - 2020-03-25	679	ROCKFORD IceHogs	-	MILWAUKEE Admirals	-
72 - 2020-03-26	696	BRIDGEPORT Sound Tigers	-	ROCKFORD IceHogs	-
74 - 2020-03-28	712	Binghampton Devils	-	ROCKFORD IceHogs	-
75 - 2020-03-29	728	ROCKFORD IceHogs	-	MILWAUKEE Admirals	-
76 - 2020-03-30	735	LEHIGH VALLEY Phantoms	-	ROCKFORD IceHogs	-
77 - 2020-03-31	747	ROCKFORD IceHogs	-	LEHIGH VALLEY Phantoms	-
78 - 2020-04-01	760	ROCKFORD IceHogs	-	VICTORIAVILLE Tigres	-
80 - 2020-04-03	775	Manitoba Moose	-	ROCKFORD IceHogs	-
81 - 2020-04-04	790	TUSCON Roadrunners	-	ROCKFORD IceHogs	-
82 - 2020-04-05	803	ROCKFORD IceHogs	-	UTICA Comets	-
83 - 2020-04-06	810	ROCKFORD IceHogs	-	WILKIES-BARRIE Penguins	-
84 - 2020-04-07	825	IOWA Wild	-	ROCKFORD IceHogs	-
85 - 2020-04-08	836	ROCKFORD IceHogs	-	CHICAGO Wolves	-
87 - 2020-04-10	852	LAVAL Rockets	-	ROCKFORD IceHogs	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11	864	BELLEVILLE Senators	-	ROCKFORD IceHogs	-
89 - 2020-04-12	875	ROCKFORD IceHogs	-	CORNWALL Aces	-
90 - 2020-04-13	885	ROCKFORD IceHogs	-	BRIDGEPORT Sound Tigers	-
91 - 2020-04-14	898	ROCKFORD IceHogs	-	UTICA Comets	-
92 - 2020-04-15	910	UTICA Comets	-	ROCKFORD IceHogs	-
94 - 2020-04-17	928	HERSEY Bears	-	ROCKFORD IceHogs	-
95 - 2020-04-18	939	ROCKFORD IceHogs	-	TUSCON Roadrunners	-
96 - 2020-04-19	949	WILKIES-BARRIE Penguins	-	ROCKFORD IceHogs	-
97 - 2020-04-20	965	ROCKFORD IceHogs	-	HERSEY Bears	-
99 - 2020-04-22	980	HERSEY Bears	-	ROCKFORD IceHogs	-
101 - 2020-04-24	999	ROCKFORD IceHogs	-	HERSEY Bears	-
102 - 2020-04-25	1006	PROVIDENCE Bruins	-	ROCKFORD IceHogs	-
103 - 2020-04-26	1016	ROCKFORD IceHogs	-	CHICAGO Wolves	-
104 - 2020-04-27	1022	ROCKFORD IceHogs	-	IOWA Wild	-
106 - 2020-04-29	1035	Marlies de Toronto	-	ROCKFORD IceHogs	-
110 - 2020-05-03	1063	Marlies de Toronto	-	ROCKFORD IceHogs	-

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	0
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
44,594$	2,025,000$	2,025,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	36,486$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	109	22,297$	2,430,373$

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
33	2	2	0	0	0	0	0	0	14	2	12	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	10	2	8	4	14	27	41	0	1	7	6	1	0	133	41	44	48	0	21	2	4	40	0	0	0.00%	2	0	100.00%	0	68	82	82.93%	5	9	55.56%	22	31	70.97%	100	90	7	2	12	9
Total Saison Régulière	2	2	0	0	0	0	0	0	14	2	12	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	10	2	8	4	14	27	41	0	1	7	6	1	0	133	41	44	48	0	21	2	4	40	0	0	0.00%	2	0	100.00%	0	68	82	82.93%	5	9	55.56%	22	31	70.97%	100	90	7	2	12	9
Séries
32	6	2	4	0	0	0	0	0	17	22	-5	3	1	2	0	0	0	0	0	9	10	-1	3	1	2	0	0	0	0	0	8	12	-4	4	17	31	48	0	0	6	7	4	0	147	45	43	55	4	240	64	54	106	26	2	7.69%	23	6	73.91%	0	58	164	35.37%	73	245	29.80%	26	95	27.37%	132	91	159	43	75	37
Total Séries	6	2	4	0	0	0	0	0	17	22	-5	3	1	2	0	0	0	0	0	9	10	-1	3	1	2	0	0	0	0	0	8	12	-4	4	17	31	48	0	0	6	7	4	0	147	45	43	55	4	240	64	54	106	26	2	7.69%	23	6	73.91%	0	58	164	35.37%	73	245	29.80%	26	95	27.37%	132	91	159	43	75	37