Profi League - Monarchs

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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	Kyle Clifford		X			100.00	77	99	65	75	82	52	79	64	60	41	40	60	50	69	72	0	51	62	0
2	Sergey Kalinin (R)	X	X	X		100.00	68	55	66	75	69	74	68	69	61	41	44	62	50	54	56	0	51	61	0
3	Gabriel Bourque		X	X		100.00	74	45	65	71	52	57	68	66	57	41	39	68	50	64	65	0	51	59	0
4	Jordan Nolan		X	X		100.00	71	68	65	77	59	51	67	61	57	40	39	60	50	64	66	0	51	58	0
5	Bud Holloway (R)	X	X	X		100.00	64	73	71	65	55	58	61	61	79	42	38	63	50	44	44	0	54	55	0
6	Louis-Marc Aubry	X				100.00	65	78	64	64	59	69	66	57	75	32	34	61	50	44	44	0	50	54	0
7	Nic Dowd	X				100.00	57	66	59	62	51	68	66	61	75	42	36	57	50	44	44	0	51	54	0
8	Ondrej Kase (R)		X	X		100.00	68	67	73	70	52	49	58	60	68	32	39	55	56	44	44	0	51	53	0
9	John McFarland		X	X		100.00	62	76	63	69	58	63	62	57	68	31	37	59	50	44	44	0	52	53	0
10	Lukas Sedlak (R)	X				100.00	59	71	61	68	54	62	62	55	64	27	36	55	50	44	44	0	48	51	0
11	Michael Pelech (R)			X		100.00	60	78	46	55	65	51	51	54	68	33	31	57	56	50	58	0	49	51	0
12	Josh Archibald		X	X		100.00	56	63	59	63	50	64	62	55	59	29	33	52	50	44	44	0	51	50	0
13	Nikita Nesterov				X	100.00	76	55	77	81	67	79	79	69	25	42	40	70	50	55	56	0	51	64	0
14	Carlo Colaiacovo				X	100.00	69	44	86	76	70	67	64	66	25	40	39	70	50	71	74	0	48	63	0
15	Cameron Gaunce				X	100.00	72	77	72	70	73	89	88	51	25	39	27	60	50	48	48	0	54	60	0
16	Vojtech Mozik				X	100.00	57	73	65	69	59	61	65	61	25	32	28	58	50	46	46	0	51	53	0
17	Niclas Andersen (R)				X	100.00	61	75	68	69	60	61	66	56	25	28	29	61	50	48	48	0	54	53	0
Rayé
1	David Wohlberg	X	X			100.00	59	71	61	61	54	65	63	55	65	30	32	55	50	44	44	0	46	51	0
2	Robert Czarnik	X				100.00	49	35	74	68	70	45	40	52	40	29	29	53	50	49	60	0	46	49	0
3	Jeremy Gregoire (R)	X				100.00	57	68	59	64	52	52	60	53	59	27	32	53	50	44	44	0	46	49	0
4	Josh Shalla		X			100.00	46	35	81	67	72	45	40	51	30	29	29	50	51	47	47	0	46	48	0
5	John Ramage				X	100.00	57	73	65	64	59	68	69	63	25	33	32	58	50	46	46	0	46	54	0
6	Konrad Abeltshauser				X	80.79	61	85	66	59	64	62	66	58	25	32	26	62	50	55	55	0	46	53	0
7	David Kolomatis (R)				X	100.00	60	69	67	64	57	56	60	56	25	28	28	59	50	47	47	0	46	51	0

	MOYENNE D'ÉQUIPE					99.17	63	67	67	68	61	61	64	59	49	34	34	59	51	50	52	0	50	55

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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	John Muse	98.00	67	74	65	74	67	71	65	69	69	64	46	55	55	0	51	65	0
2	Justin Peters	100.00	60	72	76	65	66	67	63	62	59	62	58	64	60	0	51	63	0
Rayé

	MOYENNE D'ÉQUIPE	99.00	64	73	71	70	67	69	64	66	64	63	52	60	58	0	51	64

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dallas Eakins	60	71	66	67	61	61	72	USA	49	5	100,000$

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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

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#	Nom du Joueur	Nom de l'Équipe	#	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS
1	Nikita Nesterov	Monarchs (LAK)		D	4	7	6	13	5	2	0	4	19	4	9	36.84%	8	27.:.14	1	0	1	1	0	1	13	0	0	0.00%	0	2	10	0	1	2.39	0	0
2	Sergey Kalinin	Monarchs (LAK)		C/LW/RW	4	2	9	11	4	0	0	5	8	5	8	25.00%	2	21.:.07	1	1	2	0	1	1	16	1	0	47.56%	82	13	4	0	0	2.60	0	0
3	Carlo Colaiacovo	Monarchs (LAK)		D	4	2	5	7	5	0	0	5	10	6	8	20.00%	14	27.:.36	0	0	0	0	0	0	15	0	0	0.00%	0	5	8	0	0	1.27	0	0
4	John McFarland	Monarchs (LAK)		LW/RW	4	2	5	7	4	5	5	6	13	6	9	15.38%	4	16.:.19	0	0	0	0	0	0	6	0	0	42.86%	7	6	0	0	0	2.15	0	0
5	Gabriel Bourque	Monarchs (LAK)		LW/RW	4	4	3	7	4	0	0	11	12	6	2	33.33%	4	17.:.46	0	1	1	0	0	0	5	0	0	33.33%	9	5	5	0	1	1.97	0	0
6	Kyle Clifford	Monarchs (LAK)		LW	4	1	5	6	7	61	35	6	9	6	7	11.11%	1	20.:.13	0	0	0	0	1	1	10	1	0	40.91%	22	2	2	0	0	1.48	0	0
7	Bud Holloway	Monarchs (LAK)		C/LW/RW	4	1	2	3	-3	15	15	4	7	1	4	14.29%	3	15.:.44	0	0	0	0	0	0	1	0	0	34.00%	50	3	3	0	0	0.95	0	0
8	Jordan Nolan	Monarchs (LAK)		LW/RW	4	2	1	3	-3	2	0	7	19	3	8	10.53%	1	18.:.22	0	0	0	0	0	0	4	0	0	0.00%	2	24	0	0	0	0.82	0	0
9	Lukas Sedlak	Monarchs (LAK)		C	4	1	1	2	4	5	5	2	2	0	2	50.00%	1	10.:.05	0	0	0	0	0	0	3	0	0	46.67%	15	3	2	0	0	0.99	0	0
10	Cameron Gaunce	Monarchs (LAK)		D	4	0	2	2	0	30	30	4	5	2	5	0.00%	12	18.:.21	0	0	0	0	0	0	8	0	0	0.00%	0	1	1	0	0	0.54	0	0
11	Louis-Marc Aubry	Monarchs (LAK)		C	4	1	0	1	-2	81	35	3	5	0	3	20.00%	0	11.:.02	0	0	0	0	0	0	1	0	0	37.50%	24	6	2	0	0	0.45	0	0
12	Konrad Abeltshauser	Monarchs (LAK)		D	4	0	1	1	1	25	25	5	3	1	2	0.00%	6	13.:.35	0	0	0	0	0	0	0	0	0	0.00%	0	0	4	0	0	0.37	0	0
13	Niclas Andersen	Monarchs (LAK)		D	4	1	0	1	0	5	5	0	4	0	2	25.00%	9	19.:.52	0	0	0	0	0	0	9	0	0	0.00%	0	1	3	0	0	0.25	0	0
14	Ondrej Kase	Monarchs (LAK)		LW/RW	4	0	1	1	-3	2	0	12	6	1	1	0.00%	2	16.:.56	0	0	0	0	0	0	0	0	0	100.00%	1	2	3	0	0	0.30	0	0
15	Michael Pelech	Monarchs (LAK)		RW	4	1	0	1	5	26	20	4	8	1	5	12.50%	1	12.:.36	0	0	0	0	0	0	0	0	0	100.00%	3	1	1	0	0	0.40	0	0
16	Vojtech Mozik	Monarchs (LAK)		D	4	0	0	0	1	6	0	5	3	1	1	0.00%	4	13.:.31	0	0	0	0	0	0	1	0	0	0.00%	0	0	2	0	0	0.00	0	0
17	Josh Archibald	Monarchs (LAK)		LW/RW	4	0	0	0	0	0	0	0	2	0	1	0.00%	1	06.:.28	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
18	Nic Dowd	Monarchs (LAK)		C	4	0	0	0	0	0	0	1	2	1	4	0.00%	0	06.:.28	0	0	0	0	0	0	0	0	0	35.00%	20	2	0	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne		72	25	41	66	29	265	175	84	89	137	44	81	18.25%	73	1173	16.30	2	2	4	20	95	1	2	3	4	97	2	0	41.70%	235	76	50	0	2	1.12	0	0	10	7	18	1	1	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

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#	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	John Muse	Monarchs (LAK)	4	2	2	0	86.5%	4.25	240	0	0	17	126	79	0	0	0.0%	0	4	0	1	0	0
Stats d'équipe Total ou en Moyenne	4	2	2	0	0.865	4.25	240	0	0	17	126	79	0	0	0.000	0	4	0	1	0	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	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Salaire Année 8	Salaire Année 9	Salaire Année 10	Link
Bud Holloway	C/LW/RW	28	29.02.1988	Yes	201 Lbs	6 ft0	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Cameron Gaunce	D	26	19.03.1990	No	210 Lbs	6 ft1	No	No	2	Pro & Farm	800,000$	0$	800,000$									Lien
Carlo Colaiacovo	D	33	27.01.1983	No	200 Lbs	6 ft1	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
David Kolomatis	D	27	25.02.1989	Yes	194 Lbs	5 ft11	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
David Wohlberg	C/LW	26	18.07.1990 0:07:33	No	192 Lbs	6 ft1	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Gabriel Bourque	LW/RW	26	23.09.1990	No	192 Lbs	5 ft10	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Jeremy Gregoire	C	21	04.09.1995	Yes	187 Lbs	6 ft0	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
John McFarland	LW/RW	24	02.04.1992 1:28:41	No	211 Lbs	6 ft0	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
John Muse	G	28	01.08.1988	No	185 Lbs	5 ft11	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
John Ramage	D	25	07.02.1991	No	200 Lbs	6 ft0	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Jordan Nolan	LW/RW	27	23.06.1989	No	221 Lbs	6 ft3	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
Josh Archibald	LW/RW	24	06.10.1992	No	176 Lbs	5 ft10	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Josh Shalla	LW	25	25.09.1991 11:26:23	No	198 Lbs	6 ft1	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Justin Peters	G	30	30.04.1986	No	210 Lbs	6 ft1	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Konrad Abeltshauser (Sur la Masse Salariale)	D	24	02.09.1992	No	225 Lbs	6 ft5	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Kyle Clifford	LW	25	13.01.1991	No	211 Lbs	6 ft2	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Louis-Marc Aubry	C	24	11.11.1991 0:14:14	No	208 Lbs	6 ft4	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Lukas Sedlak	C	23	25.02.1993	Yes	198 Lbs	6 ft0	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Michael Pelech	RW	26	06.10.1990 18:19:44	Yes	235 Lbs	6 ft4	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$
Nic Dowd	C	26	27.05.1990	No	175 Lbs	6 ft1	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Niclas Andersen	D	28	28.04.1988	Yes	207 Lbs	6 ft1	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Nikita Nesterov	D	23	28.03.1993	No	190 Lbs	6 ft0	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Ondrej Kase	LW/RW	20	08.11.1995	Yes	181 Lbs	6 ft0	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Robert Czarnik	C	26	25.01.1990 0:16:24	No	179 Lbs	6 ft0	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Sergey Kalinin	C/LW/RW	25	17.03.1991 13:52:01	Yes	201 Lbs	6 ft3	No	No	1	Pro & Farm	1,100,000$	0$
Vojtech Mozik	D	23	26.12.1992 13:52:36	No	196 Lbs	6 ft2	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	25.50	199 Lbs	6 ft1	5.5769230769231	453,846$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Sergey Kalinin	Kyle Clifford	Gabriel Bourque	40	1	2	2
2	Bud Holloway	Jordan Nolan	Ondrej Kase	30	1	2	2
3	Louis-Marc Aubry	John McFarland	Michael Pelech	20	1	2	2
4	Nic Dowd	Josh Archibald	Kyle Clifford	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nikita Nesterov	Carlo Colaiacovo	40	1	2	2
2	Cameron Gaunce	Niclas Andersen	30	1	2	2
3		Vojtech Mozik	20	1	2	2
4	Nikita Nesterov	Carlo Colaiacovo	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Sergey Kalinin	Kyle Clifford	Gabriel Bourque	60	1	2	2
2	Bud Holloway	Jordan Nolan	Ondrej Kase	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nikita Nesterov	Carlo Colaiacovo	60	1	2	2
2	Cameron Gaunce	Niclas Andersen	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Kyle Clifford	Sergey Kalinin	60	1	2	2
2	Gabriel Bourque	Jordan Nolan	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nikita Nesterov	Carlo Colaiacovo	60	1	2	2
2	Cameron Gaunce	Niclas Andersen	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Kyle Clifford	60	1	2	2	Nikita Nesterov	Carlo Colaiacovo	60	1	2	2
2	Sergey Kalinin	40	1	2	2	Cameron Gaunce	Niclas Andersen	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Kyle Clifford	Sergey Kalinin	60	1	2	2
2	Gabriel Bourque	Jordan Nolan	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nikita Nesterov	Carlo Colaiacovo	60	1	2	2
2	Cameron Gaunce	Niclas Andersen	40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Sergey Kalinin	Kyle Clifford	Gabriel Bourque	Nikita Nesterov	Carlo Colaiacovo

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Sergey Kalinin	Kyle Clifford	Gabriel Bourque	Nikita Nesterov	Carlo Colaiacovo

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Lukas Sedlak, Louis-Marc Aubry, John McFarland	Lukas Sedlak, Louis-Marc Aubry	John McFarland

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Vojtech Mozik, Cameron Gaunce		Vojtech Mozik, Cameron Gaunce

Tirs de Pénalité
Kyle Clifford, Sergey Kalinin, Gabriel Bourque, Jordan Nolan, Bud Holloway

Gardien
#1 : John Muse, #2 : Justin Peters

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

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#	VS Équipe	GP	W	L	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	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	Bears	1	0	1	1	6	-5	0	0.000	1	2	3	13	10	2	24	45	49	43	36	21	73	26	2	0	0.00%	4	100.00%	0	32	79	40.51%	31	69	44.93%	35	87	40.23%	84	51	90	33	64	31
2	Marlies	1	1	0	2	1	1	2	1.000	2	3	5	13	10	2	38	45	49	43	33	9	39	22	2	1	50.00%	7	100.00%	0	32	79	40.51%	31	69	44.93%	35	87	40.23%	84	51	90	33	64	31
3	Admirals	1	0	1	1	6	-5	0	0.000	1	2	3	13	10	2	39	45	49	43	26	19	55	14	7	0	0.00%	0	0.00%	0	32	79	40.51%	31	69	44.93%	35	87	40.23%	84	51	90	33	64	31
4	Heat	1	1	0	21	4	17	2	1.000	21	34	55	13	10	2	36	45	49	43	31	24	98	22	1	1	100.00%	4	100.00%	1	32	79	40.51%	31	69	44.93%	35	87	40.23%	84	51	90	33	64	31
	Vs Conference	1	1	0	21	4	17	2	1.000	21	34	55	13	10	2	36	45	49	43	31	24	98	22	1	1	100.00%	4	100.00%	1	32	79	40.51%	31	69	44.93%	35	87	40.23%	84	51	90	33	64	31
	Since Last GM Reset	4	2	2	25	17	8	4	0.500	25	41	66	13	10	2	137	45	49	43	126	73	265	84	12	2	16.67%	15	100.00%	1	32	79	40.51%	31	69	44.93%	35	87	40.23%	84	51	90	33	64	31
	Total	4	2	2	25	17	8	4	0.500	25	41	66	13	10	2	137	45	49	43	126	73	265	84	12	2	16.67%	15	100.00%	1	32	79	40.51%	31	69	44.93%	35	87	40.23%	84	51	90	33	64	31

			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
4	4	W1	25	41	66	137	126	73	265	84	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	25	17

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	3	7

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	22	10

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	2	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
12	2	16.67%	15	0	100.00%	1

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
45	49	43	0	13	10	2	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
32	79	40.51%	31	69	44.93%	35	87	40.23%

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
84	51	90	33	64	31

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

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Date	Matchup		Result	Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Wed, Dec 17	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-PreSeason/ScheduleSub.php on line 29	@	Marlies1,Monarchs2	RECAP
Thu, Dec 18	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-PreSeason/ScheduleSub.php on line 29	@	Bears6,Monarchs1	RECAP
Sun, Dec 21	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-PreSeason/ScheduleSub.php on line 29	@	Monarchs1,Admirals6	RECAP
Mon, Dec 22	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-PreSeason/ScheduleSub.php on line 29	@	Monarchs21,Heat4	RECAP

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
0	0 - 0.00%	0$	0$	3000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,170,000$	530,000$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour
0$	0$	0$

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

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