Stanley Cup Winners Hockey League

COLORADO Avalanche
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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	Tyler Ennis	0	X	X			100.00	78	37	82	76	62	73	82	72	54	69	71	57	72	79	69	62	99	71	0	30	1	800,000$
2	Tyler Graovac	0	X				100.00	67	46	83	62	91	69	71	63	75	59	61	64	62	73	67	52	99	67	0	27	5	750,000$
3	Laurent Dauphin	0	X				100.00	59	46	87	61	73	80	79	59	71	60	58	62	59	69	65	72	99	66	0	25	1	750,000$
4	Riley Barber	0			X		100.00	61	47	86	63	75	77	73	64	57	61	62	59	64	71	66	53	99	66	0	26	1	800,000$
5	Tomas Jurco (A)	0			X		100.00	62	43	86	63	78	71	69	64	57	62	63	59	66	75	68	63	99	66	0	27	1	800,000$
6	Phillip Di Giuseppe	0		X			100.00	65	39	86	61	73	78	71	62	56	60	60	59	62	73	67	64	99	66	0	26	5	750,000$
7	Luke Johnson	0	X				100.00	56	39	87	61	68	76	72	62	74	60	59	63	62	71	66	58	99	65	0	25	1	925,000$
8	Calvin Thurkauf	0	X				100.00	64	45	87	61	82	78	75	59	63	58	58	60	59	65	62	56	99	65	0	23	5	750,000$
9	Jack Kopacka (R)	0		X			100.00	65	42	85	58	80	83	81	57	54	56	56	59	58	63	62	61	99	65	0	22	3	750,000$
10	Ross Johnston	0		X			100.00	82	71	62	58	96	61	66	57	51	53	56	55	59	71	66	42	99	64	0	26	3	1,000,000$
11	David Kase (R)	0			X		100.00	57	39	83	62	66	79	76	60	54	59	58	61	59	65	64	58	99	64	0	23	3	750,000$
12	Cameron Hebig	0		X			100.00	53	42	89	59	58	81	82	57	53	56	55	52	59	65	63	61	99	62	0	23	4	750,000$
13	Nicholas Caamano (R)	0			X		100.00	54	89	52	64	79	50	50	64	50	57	57	50	57	50	50	44	99	57	0	21	3	750,000$
14	Brad Hunt	0				X	100.00	54	38	86	68	65	83	80	67	30	72	70	59	54	80	72	37	99	70	0	32	4	750,000$
15	Luke Schenn	0				X	100.00	82	48	86	61	86	77	73	59	30	63	56	69	52	79	71	68	99	69	0	30	1	1,250,000$
16	Matt Benning	0				X	100.00	73	46	84	66	78	74	77	64	30	65	55	67	52	71	65	54	99	68	0	26	3	2,000,000$
17	Adam Clendening	0				X	100.00	59	50	81	63	72	81	77	62	30	64	58	63	54	75	68	63	99	67	0	27	5	750,000$
18	Brendan Guhle	0				X	100.00	64	45	88	63	80	85	77	61	30	60	58	62	53	65	66	71	99	67	0	23	5	900,000$
19	Jordan Schmaltz	0				X	100.00	62	43	89	61	80	78	72	59	30	58	57	60	51	73	67	69	99	66	0	26	1	900,000$
Rayé
1	Nicolas Meloche (R)	0				X	100.00	71	53	82	58	85	83	81	56	30	55	52	59	45	65	63	75	99	65	0	23	3	750,000$
2	Vili Saarijarvi	0				X	100.00	53	39	87	57	58	83	84	56	30	54	51	55	45	65	62	67	99	62	0	23	5	750,000$

	MOYENNE D'ÉQUIPE					100.00	64	47	83	62	75	76	75	61	48	60	59	60	57	70	65	60	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
1	Dan Vladar	100.00	76	77	75	86	75	74	76	75	74	76	75	65	69	66	99	68	0
2	Filip Gustavsson	100.00	69	77	75	77	68	67	69	68	67	69	68	63	67	71	99	63	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	73	77	75	82	72	71	73	72	71	73	72	64	68	69	99	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jeff Blashill	78	75	75	79	79	79	76	USA	48	2	800,000$

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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	PPS	PPM	PKM	FO%	FOT	P/20	PSG	PSS	S1
1	Tyler Ennis	COLORADO Eagles (COL)	C/LW	1	2	1	3	2	0	1	3	8	0	3	25.00%	1	23	23.88	1	1	3	34.88%	43	2.51	0	1	1
2	Jordan Schmaltz	COLORADO Eagles (COL)	D	1	0	1	1	1	2	2	1	0	1	1	0.00%	0	14	14.65	0	0	1	0.00%	0	1.37	0	0	0
3	Riley Barber	COLORADO Eagles (COL)	RW	1	0	1	1	2	2	0	2	1	0	2	0.00%	0	21	21.13	1	1	1	100.00%	1	0.95	0	1	0
4	Matt Benning	COLORADO Eagles (COL)	D	1	0	1	1	0	0	3	0	0	0	0	0.00%	4	22	22.98	0	1	3	0.00%	0	0.87	0	0	0
5	Phillip Di Giuseppe	COLORADO Eagles (COL)	LW	1	1	0	1	2	0	0	0	3	1	3	33.33%	0	17	17.10	0	1	0	50.00%	2	1.17	0	0	0
6	Laurent Dauphin	COLORADO Eagles (COL)	C	1	0	0	0	-1	0	1	2	3	2	1	0.00%	0	17	17.20	0	0	2	25.81%	31	0.00	0	1	0
7	Ross Johnston	COLORADO Eagles (COL)	LW	1	0	0	0	-1	2	2	0	1	0	0	0.00%	0	11	11.02	0	0	0	0.00%	1	0.00	0	0	0
8	Adam Clendening	COLORADO Eagles (COL)	D	1	0	0	0	0	2	1	0	2	0	0	0.00%	0	20	20.38	1	1	2	0.00%	0	0.00	0	0	0
9	Brendan Guhle	COLORADO Eagles (COL)	D	1	0	0	0	1	0	1	0	0	0	2	0.00%	0	14	14.67	0	0	0	0.00%	0	0.00	0	0	0
10	Brad Hunt	COLORADO Eagles (COL)	D	1	0	0	0	0	0	1	0	0	1	1	0.00%	0	26	26.75	0	2	2	0.00%	0	0.00	0	0	0
11	Luke Schenn	COLORADO Eagles (COL)	D	1	0	0	0	0	4	3	0	2	2	2	0.00%	2	25	25.50	1	2	2	0.00%	0	0.00	0	0	0
12	Tomas Jurco	COLORADO Eagles (COL)	RW	1	0	0	0	0	0	1	0	2	0	2	0.00%	0	14	14.47	1	2	0	0.00%	1	0.00	0	1	0
13	Tyler Graovac	COLORADO Eagles (COL)	C	1	0	0	0	0	0	0	2	0	3	1	0.00%	0	20	20.75	0	2	3	55.56%	18	0.00	1	1	0
14	Luke Johnson	COLORADO Eagles (COL)	C	1	0	0	0	0	0	2	2	1	0	3	0.00%	0	9	9.45	0	0	0	40.00%	10	0.00	1	1	0
15	Cameron Hebig	COLORADO Eagles (COL)	LW	1	0	0	0	0	0	0	0	1	0	0	0.00%	1	9	9.45	0	0	0	100.00%	1	0.00	0	0	0
16	David Kase	COLORADO Eagles (COL)	RW	1	0	0	0	-1	0	0	1	0	0	0	0.00%	0	12	12.53	0	0	1	0.00%	0	0.00	0	0	0
17	Jack Kopacka	COLORADO Eagles (COL)	LW	1	0	0	0	0	0	1	1	4	1	0	0.00%	0	13	13.35	0	2	0	0.00%	0	0.00	0	0	0
18	Nicholas Caamano	COLORADO Eagles (COL)	RW	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	9	9.45	0	0	0	0.00%	1	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				18	3	4	7	5	12	19	14	28	11	21	10.71%	8	304	16.93	5	19	24	36.70%	109	0.46	2	6	1

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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	Dan Vladar	COLORADO Eagles (COL)	1	1	0	0	0.942	2.77	65	0	0	3	52	0	0	0	0.833	6	1	0	0	1	0
Stats d'équipe Total ou en Moyenne			1	1	0	0	0.942	2.77	65	0	0	3	52	0	0	0	0.833	6	1	0	0	1	0

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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	Salaire Année 5	Salaire Année 6	Link
Adam Clendening	COLORADO Eagles (COL)	D	27	10/26/1992	No	86 Kg	183 CM	No	No	No	5	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien
Brad Hunt	COLORADO Eagles (COL)	D	32	8/24/1988	No	80 Kg	175 CM	No	No	No	4	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No	750,000$	750,000$	750,000$			Lien
Brendan Guhle	COLORADO Eagles (COL)	D	23	1/8/1997 2:17:25 PM	No	90 Kg	188 CM	No	No	No	5	Pro & Farm	900,000$	884,746$	900,000$	884,746$	0$	0$	No	900,000$	900,000$	900,000$	900,000$		Lien
Calvin Thurkauf	COLORADO Eagles (COL)	C	23	6/27/1997	No	93 Kg	188 CM	No	No	No	5	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien
Cameron Hebig	COLORADO Eagles (COL)	LW	23	1/21/1997	No	84 Kg	155 CM	No	No	No	4	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No	750,000$	750,000$	750,000$			Lien
Dan Vladar	COLORADO Eagles (COL)	G	23	8/20/1997	No	84 Kg	196 CM	No	No	No	1	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No						Lien
David Kase	COLORADO Eagles (COL)	RW	23	1/28/1997	Yes	77 Kg	180 CM	No	No	No	3	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No	750,000$	750,000$
Filip Gustavsson	COLORADO Eagles (COL)	G	22	6/7/1998	No	84 Kg	188 CM	No	No	No	6	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	Lien
Jack Kopacka	COLORADO Eagles (COL)	LW	22	3/5/1998	Yes	90 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No	750,000$	750,000$
Jordan Schmaltz	COLORADO Eagles (COL)	D	26	10/8/1993	No	89 Kg	188 CM	No	No	No	1	Pro & Farm	900,000$	884,746$	900,000$	884,746$	0$	0$	No						Lien
Laurent Dauphin	COLORADO Eagles (COL)	C	25	3/27/1995	No	82 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No						Lien
Luke Johnson	COLORADO Eagles (COL)	C	25	9/19/1994	No	80 Kg	180 CM	No	No	No	1	Pro & Farm	925,000$	909,322$	925,000$	909,322$	0$	0$	No						Lien
Luke Schenn	COLORADO Eagles (COL)	D	30	11/2/1989	No	103 Kg	188 CM	No	No	No	1	Pro & Farm	1,250,000$	1,228,814$	1,250,000$	1,228,814$	0$	0$	No						Lien
Matt Benning	COLORADO Eagles (COL)	D	26	5/25/1994	No	92 Kg	185 CM	No	No	No	3	Pro & Farm	2,000,000$	1,966,102$	2,000,000$	1,966,102$	0$	0$	No	2,000,000$	2,000,000$				Lien
Nicholas Caamano	COLORADO Eagles (COL)	RW	21	9/7/1998	Yes	89 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No	750,000$	750,000$
Nicolas Meloche	COLORADO Eagles (COL)	D	23	7/18/1997	Yes	95 Kg	191 CM	No	No	No	3	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No	750,000$	750,000$
Phillip Di Giuseppe	COLORADO Eagles (COL)	LW	26	10/9/1993	No	88 Kg	183 CM	No	No	No	5	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien
Riley Barber	COLORADO Eagles (COL)	RW	26	2/7/1994	No	92 Kg	183 CM	No	No	No	1	Pro & Farm	800,000$	786,441$	800,000$	786,441$	0$	0$	No						Lien
Ross Johnston	COLORADO Eagles (COL)	LW	26	2/18/1994	No	107 Kg	196 CM	No	No	No	3	Pro & Farm	1,000,000$	983,051$	1,000,000$	983,051$	0$	0$	No	1,000,000$	1,000,000$				Lien
Tomas Jurco	COLORADO Eagles (COL)	RW	27	12/28/1992	No	85 Kg	188 CM	No	No	No	1	Pro & Farm	800,000$	786,441$	800,000$	786,441$	0$	0$	No						Lien
Tyler Ennis	COLORADO Eagles (COL)	C/LW	30	10/6/1989	No	73 Kg	175 CM	No	No	No	1	Pro & Farm	800,000$	786,441$	800,000$	786,441$	0$	0$	No						Lien
Tyler Graovac	COLORADO Eagles (COL)	C	27	4/27/1993	No	95 Kg	196 CM	No	No	No	5	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien
Vili Saarijarvi	COLORADO Eagles (COL)	D	23	5/15/1997	No	83 Kg	155 CM	No	No	No	5	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	25.17	88 Kg	183 CM	3.04	864,130$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Phillip Di Giuseppe	Tyler Ennis	Riley Barber	31	1	2	2
2	Jack Kopacka	Tyler Graovac	Tomas Jurco	26	1	2	2
3	Ross Johnston	Laurent Dauphin	David Kase	23	1	2	2
4	Cameron Hebig	Luke Johnson	Nicholas Caamano	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brad Hunt	Luke Schenn	31	1	2	2
2	Matt Benning	Adam Clendening	26	1	2	2
3	Brendan Guhle	Jordan Schmaltz	23	1	2	2
4	Brad Hunt	Luke Schenn	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Phillip Di Giuseppe	Tyler Ennis	Riley Barber	55	1	2	2
2	Jack Kopacka	Tyler Graovac	Tomas Jurco	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brad Hunt	Luke Schenn	55	1	2	2
2	Matt Benning	Adam Clendening	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Tyler Ennis	Tyler Graovac	55	1	2	2
2	Laurent Dauphin	Riley Barber	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brad Hunt	Luke Schenn	55	1	2	2
2	Matt Benning	Adam Clendening	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Ennis	55	1	2	2	Brad Hunt	Luke Schenn	55	1	2	2
2	Tyler Graovac	45	1	2	2	Matt Benning	Adam Clendening	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Tyler Ennis	Tyler Graovac	55	1	2	2
2	Laurent Dauphin	Riley Barber	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brad Hunt	Luke Schenn	55	1	2	2
2	Matt Benning	Adam Clendening	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Phillip Di Giuseppe	Tyler Ennis	Riley Barber	Brad Hunt	Luke Schenn

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Phillip Di Giuseppe	Tyler Ennis	Riley Barber	Brad Hunt	Luke Schenn

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Calvin Thurkauf, Luke Johnson, David Kase	Calvin Thurkauf, Luke Johnson	David Kase

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brendan Guhle, Jordan Schmaltz, Matt Benning	Brendan Guhle	Jordan Schmaltz, Matt Benning

Tirs de Pénalité
Tyler Ennis, Tyler Graovac, Laurent Dauphin, Riley Barber, Tomas Jurco

Gardien
#1 : Dan Vladar, #2 : Filip Gustavsson

Lignes d'Attaque Perso. en Prol.
Tyler Ennis, Tyler Graovac, Laurent Dauphin, Riley Barber, Tomas Jurco, Phillip Di Giuseppe, Phillip Di Giuseppe, Jack Kopacka, Luke Johnson, Calvin Thurkauf, David Kase

Lignes de Défense Perso. en Prol.
Brad Hunt, Luke Schenn, Matt Benning, Adam Clendening, Brendan Guhle

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
1	LAVAL Rocket	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	4	8	0	0	1	1	1	2	28	12	6	10	6	52	8	12	19	2	0	0.00%	4	1	75.00%	0	11	33	33.33%	18	48	37.50%	11	23	47.83%	25	18	26	6	12	6
	Total	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	4	8	0	0	1	1	1	2	28	12	6	10	6	52	8	12	19	2	0	0.00%	4	1	75.00%	0	11	33	33.33%	18	48	37.50%	11	23	47.83%	25	18	26	6	12	6
	_Since Last GM Reset	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	4	8	0	0	1	1	1	2	28	12	6	10	6	52	8	12	19	2	0	0.00%	4	1	75.00%	0	11	33	33.33%	18	48	37.50%	11	23	47.83%	25	18	26	6	12	6
	_Vs Conference	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	4	8	0	0	1	1	1	2	28	12	6	10	6	52	8	12	19	2	0	0.00%	4	1	75.00%	0	11	33	33.33%	18	48	37.50%	11	23	47.83%	25	18	26	6	12	6

			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
1	2	W1	4	4	8	28	52	8	12	19	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	0	0	0	1	0	4	3

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	0	0	0	1	0	4	3

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
1	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
2	0	0.00%	4	1	75.00%	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
12	6	10	6	1	1	1	2

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
11	33	33.33%	18	48	37.50%	11	23	47.83%

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
25	18	26	6	12	6

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	Lien
2 - 2021-01-18	14	LAVAL Rocket	3	COLORADO Eagles	4	W	X	X	Sommaire du Match
3 - 2021-01-19	29	SAN ANTONIO Rampage	-	COLORADO Eagles	-
4 - 2021-01-20	35	COLORADO Eagles	-	ROCKFORD IceHogs	-
6 - 2021-01-22	54	BRIDGEPORT Sound Tigers	-	COLORADO Eagles	-
7 - 2021-01-23	59	COLORADO Eagles	-	MILWAUKEE Admirals	-
9 - 2021-01-25	81	LAVAL Rocket	-	COLORADO Eagles	-
10 - 2021-01-26	88	COLORADO Eagles	-	TORONTO Marlies	-
13 - 2021-01-29	108	COLORADO Eagles	-	TORONTO Marlies	-
14 - 2021-01-30	116	HERSEY Bears	-	COLORADO Eagles	-
16 - 2021-02-01	134	SAN ANTONIO Rampage	-	COLORADO Eagles	-
17 - 2021-02-02	146	COLORADO Eagles	-	SAN ANTONIO Rampage	-
18 - 2021-02-03	151	COLORADO Eagles	-	SAN DIEGO Gulls	-
19 - 2021-02-04	166	COLORADO Eagles	-	UTICA Comets	-
20 - 2021-02-05	179	ROCKFORD IceHogs	-	COLORADO Eagles	-
22 - 2021-02-07	194	BRIDGEPORT Sound Tigers	-	COLORADO Eagles	-
24 - 2021-02-09	209	MILWAUKEE Admirals	-	COLORADO Eagles	-
25 - 2021-02-10	222	COLORADO Eagles	-	SYRACUSE Crunch	-
27 - 2021-02-12	235	MILWAUKEE Admirals	-	COLORADO Eagles	-
28 - 2021-02-13	245	COLORADO Eagles	-	MILWAUKEE Admirals	-
30 - 2021-02-15	261	SAN ANTONIO Rampage	-	COLORADO Eagles	-
31 - 2021-02-16	270	COLORADO Eagles	-	ONTARIO Reign	-
32 - 2021-02-17	287	LEHIGH VALLEY Phantoms	-	COLORADO Eagles	-
34 - 2021-02-19	300	COLORADO Eagles	-	CAROLINA Checkers	-
35 - 2021-02-20	313	TORONTO Marlies	-	COLORADO Eagles	-
37 - 2021-02-22	328	COLORADO Eagles	-	GRAND RAPIDS Griffins	-
38 - 2021-02-23	340	COLORADO Eagles	-	TORONTO Marlies	-
39 - 2021-02-24	350	GRAND RAPIDS Griffins	-	COLORADO Eagles	-
41 - 2021-02-26	366	ROCKFORD IceHogs	-	COLORADO Eagles	-
43 - 2021-02-28	380	COLORADO Eagles	-	IOWA Wild	-
44 - 2021-03-01	392	TORONTO Marlies	-	COLORADO Eagles	-
46 - 2021-03-03	405	COLORADO Eagles	-	LAVAL Rocket	-
47 - 2021-03-04	420	IOWA Wild	-	COLORADO Eagles	-
48 - 2021-03-05	433	SYRACUSE Crunch	-	COLORADO Eagles	-
50 - 2021-03-07	443	COLORADO Eagles	-	CHICAGO Wolves	-
51 - 2021-03-08	455	COLORADO Eagles	-	SAN ANTONIO Rampage	-
52 - 2021-03-09	468	COLORADO Eagles	-	BROOKLYN Wolfpack	-
54 - 2021-03-11	479	STOCKTON Flames	-	COLORADO Eagles	-
55 - 2021-03-12	494	COLORADO Eagles	-	BRIDGEPORT Sound Tigers	-
56 - 2021-03-13	506	COLORADO Eagles	-	MILWAUKEE Admirals	-
57 - 2021-03-14	516	HERSEY Bears	-	COLORADO Eagles	-
59 - 2021-03-16	532	BRIDGEPORT Sound Tigers	-	COLORADO Eagles	-
61 - 2021-03-18	547	SYRACUSE Crunch	-	COLORADO Eagles	-
62 - 2021-03-19	559	COLORADO Eagles	-	TUSCON Roadrunners	-
64 - 2021-03-21	574	CAROLINA Checkers	-	COLORADO Eagles	-
65 - 2021-03-22	589	COLORADO Eagles	-	BINGHAMTON Devils	-
66 - 2021-03-23	599	BROOKLYN Wolfpack	-	COLORADO Eagles	-
68 - 2021-03-25	613	COLORADO Eagles	-	TUSCON Roadrunners	-
69 - 2021-03-26	626	COLORADO Eagles	-	STOCKTON Flames	-
70 - 2021-03-27	637	BROOKLYN Wolfpack	-	COLORADO Eagles	-
72 - 2021-03-29	652	LAVAL Rocket	-	COLORADO Eagles	-
74 - 2021-03-31	669	COLORADO Eagles	-	MANITOBA Moose	-
75 - 2021-04-01	676	COLORADO Eagles	-	HERSEY Bears	-
77 - 2021-04-03	690	TUSCON Roadrunners	-	COLORADO Eagles	-
78 - 2021-04-04	705	COLORADO Eagles	-	ROCKFORD IceHogs	-
79 - 2021-04-05	714	SAN DIEGO Gulls	-	COLORADO Eagles	-
80 - 2021-04-06	723	COLORADO Eagles	-	BELLEVILLE Senators	-
82 - 2021-04-08	739	COLORADO Eagles	-	SAN DIEGO Gulls	-
83 - 2021-04-09	748	BELLEVILLE Senators	-	COLORADO Eagles	-
85 - 2021-04-11	767	PROVIDENCE Bruins	-	COLORADO Eagles	-
87 - 2021-04-13	784	BAKERSFIELD Condors	-	COLORADO Eagles	-
88 - 2021-04-14	796	COLORADO Eagles	-	LAVAL Rocket	-
91 - 2021-04-17	810	LAVAL Rocket	-	COLORADO Eagles	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19	826	COLORADO Eagles	-	BAKERSFIELD Condors	-
94 - 2021-04-20	836	CHICAGO Wolves	-	COLORADO Eagles	-
95 - 2021-04-21	847	COLORADO Eagles	-	BRIDGEPORT Sound Tigers	-
96 - 2021-04-22	861	COLORADO Eagles	-	SCRANTON Penguins	-
97 - 2021-04-23	869	UTICA Comets	-	COLORADO Eagles	-
99 - 2021-04-25	889	MANITOBA Moose	-	COLORADO Eagles	-
100 - 2021-04-26	898	COLORADO Eagles	-	ROCKFORD IceHogs	-
101 - 2021-04-27	912	COLORADO Eagles	-	LEHIGH VALLEY Phantoms	-
102 - 2021-04-28	919	COLORADO Eagles	-	SAN DIEGO Gulls	-
104 - 2021-04-30	931	SAN DIEGO Gulls	-	COLORADO Eagles	-
106 - 2021-05-02	947	ONTARIO Reign	-	COLORADO Eagles	-
107 - 2021-05-03	957	COLORADO Eagles	-	PROVIDENCE Bruins	-
109 - 2021-05-05	971	COLORADO Eagles	-	PROVIDENCE Bruins	-
110 - 2021-05-06	983	SCRANTON Penguins	-	COLORADO Eagles	-
111 - 2021-05-07	991	COLORADO Eagles	-	LEHIGH VALLEY Phantoms	-
112 - 2021-05-08	1007	COLORADO Eagles	-	UTICA Comets	-
113 - 2021-05-09	1014	BINGHAMTON Devils	-	COLORADO Eagles	-
117 - 2021-05-13	1040	BINGHAMTON Devils	-	COLORADO Eagles	-

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
39	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
33,686$	1,987,500$	1,987,500$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	33,686$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	116	16,843$	1,953,788$

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	44	23	0	5	3	2	3	251	179	72	40	25	10	0	3	0	2	0	134	88	46	40	19	13	0	2	3	0	3	117	91	26	108	251	457	708	0	11	107	85	52	8	2488	808	818	822	58	2052	585	734	1422	253	58	22.92%	334	43	87.13%	2	1545	2688	57.48%	1299	2441	53.22%	616	1162	53.01%	2091	1500	1761	552	990	507
34	80	44	23	0	5	3	2	3	251	179	72	40	25	10	0	3	0	2	0	134	88	46	40	19	13	0	2	3	0	3	117	91	26	108	251	457	708	0	11	107	85	52	8	2488	808	818	822	58	2052	585	734	1422	253	58	22.92%	334	43	87.13%	2	1545	2688	57.48%	1299	2441	53.22%	616	1162	53.01%	2091	1500	1761	552	990	507
36	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	4	4	8	0	0	1	1	1	2	28	12	6	10	6	52	8	12	19	2	0	0.00%	4	1	75.00%	0	11	33	33.33%	18	48	37.50%	11	23	47.83%	25	18	26	6	12	6
Total Saison Régulière	161	88	46	0	10	6	5	6	506	361	145	81	50	20	0	6	0	5	0	272	179	93	80	38	26	0	4	6	0	6	234	182	52	218	506	918	1424	0	22	215	171	105	18	5004	1628	1642	1654	122	4156	1178	1480	2863	508	116	22.83%	672	87	87.05%	4	3101	5409	57.33%	2616	4930	53.06%	1243	2347	52.96%	4208	3018	3548	1112	1994	1020
Séries
34	5	1	4	0	0	0	0	0	7	11	-4	2	0	2	0	0	0	0	0	2	5	-3	3	1	2	0	0	0	0	0	5	6	-1	2	7	14	21	0	0	2	2	3	0	99	34	31	34	0	124	37	49	99	14	5	35.71%	21	2	90.48%	0	71	149	47.65%	88	174	50.57%	33	77	42.86%	107	70	125	40	67	32
Total Séries	5	1	4	0	0	0	0	0	7	11	-4	2	0	2	0	0	0	0	0	2	5	-3	3	1	2	0	0	0	0	0	5	6	-1	2	7	14	21	0	0	2	2	3	0	99	34	31	34	0	124	37	49	99	14	5	35.71%	21	2	90.48%	0	71	149	47.65%	88	174	50.57%	33	77	42.86%	107	70	125	40	67	32