LHSIR - 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	Alexander Nylander		X	X		100.00	63	41	94	84	68	62	80	68	33	70	68	61	75	60	60	69	50	0	0
2	Daniel Sprong		X	X		100.00	72	67	83	84	67	73	75	66	50	63	62	68	59	61	61	67	50	0	0
3	Daniel Carr		X	X		100.00	73	43	88	78	70	56	75	53	25	50	59	57	75	59	59	61	50	0	0
4	Casey Mittelstadt	X	X			100.00	63	42	97	83	74	63	89	70	66	63	64	58	79	57	57	67	50	0	0
5	Hunter Shinkaruk		X			100.00	73	65	93	63	65	57	58	56	50	47	58	64	55	52	52	60	50	0	0
6	Jesperi Kotkaniemi	X				100.00	79	58	81	85	71	63	81	70	73	59	73	53	25	57	57	67	50	0	0
7	Joel Lowry (R)		X			100.00	71	68	79	62	68	69	73	57	50	57	51	62	48	47	47	58	50	0	0
8	Jonathan Ang (R)	X				100.00	68	61	85	60	61	74	79	57	71	56	53	59	50	44	44	58	50	0	0
9	Nikolai Prokhorkin (R)	X				100.00	73	43	95	78	69	62	62	65	62	68	59	59	75	47	47	65	50	0	0
10	Paul Byron	X	X	X		100.00	79	43	95	90	58	67	61	61	30	66	66	78	85	68	68	71	50	0	0
11	Mikhail Vorobyev	X				100.00	59	41	90	71	72	56	78	55	85	60	57	66	25	47	47	62	50	0	0
12	Jason Dickinson	X	X	X		100.00	79	44	96	79	76	68	83	59	68	64	66	85	25	62	63	72	50	0	0
13	Ryan Lomberg		X			100.00	72	68	81	66	68	62	61	68	50	61	71	64	67	44	44	68	50	0	0
14	Brennan Menell				X	100.00	71	66	82	64	66	78	83	61	25	63	42	65	40	55	55	59	50	0	0
15	Jacob Middleton				X	100.00	83	99	75	68	79	55	68	58	25	54	47	68	25	51	51	60	50	0	0
16	Matt Benning				X	100.00	83	58	89	82	74	61	75	58	25	52	47	70	25	61	61	61	50	0	0
17	Martin Fehervary (R)				X	100.00	75	72	83	72	72	66	71	47	25	38	41	60	39	44	44	53	50	0	0
18	Pierre-Olivier Joseph (R)				X	100.00	69	63	82	65	63	69	74	50	25	44	41	58	39	44	44	53	50	0	0
19	Roland McKeown				X	100.00	74	72	77	67	72	76	83	51	25	47	41	61	39	44	44	55	50	0	0
Rayé
1	Dmitri Samorukov (R)				X	100.00	77	74	85	62	74	65	70	46	25	37	40	61	38	44	44	52	50	0	0

	MOYENNE D'ÉQUIPE					100.00	73	59	87	73	69	65	74	59	44	56	55	64	49	52	52	62	50	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 Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Ryan Miller	100.00	74	54	58	69	81	68	59	75	77	74	87	80	83	71	50	0	0
2	Kevin Poulin (R)	100.00	59	55	69	73	62	60	55	63	59	58	30	44	44	59	50	0	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	67	55	64	71	72	64	57	69	68	66	59	62	64	65	50	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bob Hartley	72	70	75	73	87	81	59	CAN	61	3	3,500,000$

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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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKM	GW	FO%	FOT	P/20	FT	S1	S2	S3
1	Jesperi Kotkaniemi	Monarchs (LAK)	C	4	2	1	3	0	2	0	11	4	10	3	5	20.00%	0	80	20.17	0	0	0	2	27	6	1	55.56%	81	0.74	0	1	0	0
2	Paul Byron	Monarchs (LAK)	C/LW/RW	4	2	1	3	0	4	0	4	8	9	2	5	22.22%	1	82	20.50	0	1	1	1	28	14	0	25.00%	4	0.73	0	0	0	0
3	Daniel Sprong	Monarchs (LAK)	LW/RW	4	0	2	2	0	2	0	4	10	6	9	9	0.00%	1	76	19.09	0	0	0	1	27	1	0	0.00%	2	0.52	0	0	0	1
4	Daniel Carr	Monarchs (LAK)	LW/RW	4	0	2	2	0	0	0	0	2	3	1	5	0.00%	0	73	18.33	0	0	0	2	26	0	0	0.00%	1	0.55	0	0	1	0
5	Matt Benning	Monarchs (LAK)	D	4	0	2	2	0	6	0	4	2	6	1	2	0.00%	4	85	21.27	0	0	0	5	29	11	0	0.00%	0	0.47	0	0	0	0
6	Alexander Nylander	Monarchs (LAK)	LW/RW	4	0	1	1	0	2	0	2	5	6	1	6	0.00%	0	75	18.96	0	0	0	4	27	8	0	28.57%	7	0.26	0	0	0	0
7	Jacob Middleton	Monarchs (LAK)	D	4	1	0	1	0	8	0	3	3	3	0	3	33.33%	3	76	19.04	1	0	1	2	25	8	0	0.00%	0	0.26	0	0	0	1
8	Nikolai Prokhorkin	Monarchs (LAK)	C	4	1	0	1	-5	2	0	3	4	2	2	6	50.00%	2	57	14.45	0	0	0	0	0	0	0	60.00%	10	0.35	0	0	0	0
9	Jason Dickinson	Monarchs (LAK)	C/LW/RW	4	0	1	1	-1	0	0	4	9	8	4	10	0.00%	2	91	22.83	0	1	1	5	28	15	0	39.45%	109	0.22	0	0	0	0
10	Ryan Lomberg	Monarchs (LAK)	LW	4	0	1	1	-4	2	0	5	5	4	3	8	0.00%	1	50	12.62	0	0	0	0	0	0	0	0.00%	0	0.40	0	0	0	0
11	Brennan Menell	Monarchs (LAK)	D	4	0	0	0	0	9	5	7	3	1	1	1	0.00%	1	87	21.81	0	0	0	0	30	12	0	0.00%	0	0.00	1	0	0	0
12	Casey Mittelstadt	Monarchs (LAK)	C/LW	4	0	0	0	-5	2	0	1	8	6	4	5	0.00%	1	61	15.32	0	0	0	1	5	7	0	59.09%	44	0.00	0	0	0	0
13	Hunter Shinkaruk	Monarchs (LAK)	LW	4	0	0	0	-1	0	0	0	0	0	0	0	0.00%	0	10	2.53	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0
14	Jonathan Ang	Monarchs (LAK)	C	4	0	0	0	0	0	0	0	1	0	0	0	0.00%	0	9	2.39	0	0	0	0	6	0	0	100.00%	1	0.00	0	0	0	0
15	Mikhail Vorobyev	Monarchs (LAK)	C	4	0	0	0	1	0	0	0	0	3	1	1	0.00%	0	18	4.63	0	0	0	1	8	0	0	20.00%	5	0.00	0	0	0	0
16	Martin Fehervary	Monarchs (LAK)	D	4	0	0	0	-6	4	0	8	4	1	0	1	0.00%	4	67	16.78	0	0	0	0	10	0	0	0.00%	0	0.00	0	0	0	0
17	Roland McKeown	Monarchs (LAK)	D	4	0	0	0	0	0	0	3	0	3	1	0	0.00%	3	82	20.56	0	0	0	1	27	12	0	0.00%	0	0.00	0	0	0	0
Stats d'équipe Total ou en Moyenne				68	6	11	17	-21	43	5	59	68	71	33	67	8.45%	23	1085	15.96	1	2	3	25	309	99	1	47.35%	264	0.31	1	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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	PCT	GAA	MP	PIM	GA	SA	ST	BG
1	Ryan Miller	Monarchs (LAK)	4	1	3	0.841	3.55	220	2	13	82	4	0
2	Kevin Poulin	Monarchs (LAK)	1	0	0	0.667	3.33	18	0	1	3	0	4
Stats d'équipe Total ou en Moyenne			5	1	3	0.835	3.52	239	2	14	85	4	4

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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	Link
Alexander Nylander	Monarchs (LAK)	LW/RW	22	1998-03-01	No	180 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,713,333$	171,333$	1,713,333$	171,333$	0$	0$	No	1,713,333$	1,713,333$	Lien
Brennan Menell	Monarchs (LAK)	D	23	1997-05-24	No	183 Lbs	5 ft11	No	No	No	3	Pro & Farm	1,091,666$	109,167$	716,666$	71,667$	0$	0$	No	716,666$	716,666$	Lien
Casey Mittelstadt	Monarchs (LAK)	C/LW	21	1998-11-22	No	203 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,491,666$	149,167$	1,491,666$	149,167$	0$	0$	No	1,491,666$		Lien
Daniel Carr	Monarchs (LAK)	LW/RW	28	1991-11-01	No	193 Lbs	6 ft0	No	No	No	2	Pro & Farm	750,000$	75,000$	750,000$	75,000$	0$	0$	No	750,000$		Lien
Daniel Sprong	Monarchs (LAK)	LW/RW	23	1997-03-17	No	180 Lbs	6 ft0	No	No	No	2	Pro & Farm	750,000$	75,000$	750,000$	75,000$	0$	0$	No	750,000$		Lien
Dmitri Samorukov	Monarchs (LAK)	D	21	1999-06-16	Yes	196 Lbs	6 ft3	No	No	No	3	Pro & Farm	863,333$	86,333$	863,333$	86,333$	0$	0$	No	863,333$	863,333$
Hunter Shinkaruk	Monarchs (LAK)	LW	25	1994-10-13	No	181 Lbs	5 ft10	No	No	No	2	Pro & Farm	833,000$	83,300$	833,000$	83,300$	0$	0$	No	833,000$		Lien
Jacob Middleton	Monarchs (LAK)	D	24	1996-01-01	No	200 Lbs	6 ft3	No	No	No	2	Pro & Farm	735,000$	73,500$	450,000$	45,000$	0$	0$	No	735,000$		Lien
Jason Dickinson	Monarchs (LAK)	C/LW/RW	24	1995-07-04	No	205 Lbs	6 ft2	No	No	No	2	Pro & Farm	875,000$	87,500$	875,000$	87,500$	0$	0$	No	875,000$		Lien
Jesperi Kotkaniemi	Monarchs (LAK)	C	19	2000-07-06	No	188 Lbs	6 ft2	No	No	No	2	Pro & Farm	3,425,000$	342,500$	450,000$	45,000$	0$	0$	No	3,425,000$		Lien
Joel Lowry	Monarchs (LAK)	LW	28	1991-11-15	Yes	180 Lbs	6 ft1	No	No	No	3	Pro & Farm	700,000$	70,000$	700,000$	70,000$	0$	0$	No	700,000$	700,000$
Jonathan Ang	Monarchs (LAK)	C	22	1998-01-31	Yes	165 Lbs	5 ft11	No	No	No	3	Pro & Farm	910,833$	91,083$	910,833$	91,083$	0$	0$	No	910,833$	910,833$
Kevin Poulin	Monarchs (LAK)	G	25	1995-01-01	Yes	200 Lbs	6 ft0	No	No	No	3	Pro & Farm	700,000$	70,000$	700,000$	70,000$	0$	0$	No	700,000$	700,000$
Martin Fehervary	Monarchs (LAK)	D	20	1999-10-06	Yes	194 Lbs	6 ft2	No	No	No	3	Pro & Farm	894,167$	89,417$	894,167$	89,417$	0$	0$	No	894,167$	894,167$
Matt Benning	Monarchs (LAK)	D	26	1994-05-25	No	204 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,900,000$	190,000$	1,900,000$	190,000$	0$	0$	No	1,900,000$		Lien
Mikhail Vorobyev	Monarchs (LAK)	C	23	1997-01-04	No	194 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,050,000$	105,000$	925,000$	92,500$	0$	0$	No	925,000$	925,000$	Lien
Nikolai Prokhorkin	Monarchs (LAK)	C	26	1993-09-17	Yes	183 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,775,000$	177,500$	1,775,000$	177,500$	0$	0$	No	1,775,000$	1,775,000$
Paul Byron	Monarchs (LAK)	C/LW/RW	31	1989-04-26	No	162 Lbs	5 ft9	No	No	No	1	Pro & Farm	1,166,667$	116,667$	1,166,667$	116,667$	0$	0$	No			Lien
Pierre-Olivier Joseph	Monarchs (LAK)	D	20	1999-07-01	Yes	161 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,075,833$	107,583$	1,075,833$	107,583$	0$	0$	No	1,075,833$	1,075,833$
Roland McKeown	Monarchs (LAK)	D	24	1996-01-19	No	195 Lbs	6 ft1	No	No	No	1	Pro & Farm	894,167$	89,417$	894,167$	89,417$	0$	0$	No			Lien
Ryan Lomberg	Monarchs (LAK)	LW	25	1994-12-09	No	190 Lbs	5 ft10	No	No	No	3	Pro & Farm	950,000$	95,000$	700,000$	70,000$	0$	0$	No	700,000$	700,000$	Lien
Ryan Miller	Monarchs (LAK)	G	39	1980-07-17	No	173 Lbs	6 ft3	No	No	No	3	Pro & Farm	3,325,000$	332,500$	2,325,000$	232,500$	0$	0$	No	2,325,000$	2,325,000$	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	24.50	187 Lbs	6 ft1	2.45	1,266,803$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Paul Byron	Jason Dickinson	Alexander Nylander	35	1	2	2
2	Daniel Sprong	Jesperi Kotkaniemi	Daniel Carr	30	1	2	2
3	Ryan Lomberg	Casey Mittelstadt	Nikolai Prokhorkin	25	1	2	2
4	Hunter Shinkaruk	Nikolai Prokhorkin	Jason Dickinson	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Benning	Brennan Menell	35	1	2	2
2	Jacob Middleton	Roland McKeown	30	1	2	2
3	Martin Fehervary		25	1	2	2
4	Matt Benning	Brennan Menell	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Paul Byron	Jason Dickinson	Alexander Nylander	60	1	2	2
2	Daniel Sprong	Jesperi Kotkaniemi	Daniel Carr	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Benning	Brennan Menell	60	1	2	2
2	Jacob Middleton	Roland McKeown	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jason Dickinson	Paul Byron	60	1	2	2
2	Alexander Nylander	Jesperi Kotkaniemi	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Benning	Brennan Menell	60	1	2	2
2	Jacob Middleton	Roland McKeown	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Jason Dickinson	60	1	2	2	Matt Benning	Brennan Menell	60	1	2	2
2	Paul Byron	40	1	2	2	Jacob Middleton	Roland McKeown	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jason Dickinson	Paul Byron	60	1	2	2
2	Alexander Nylander	Jesperi Kotkaniemi	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Benning	Brennan Menell	60	1	2	2
2	Jacob Middleton	Roland McKeown	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Paul Byron	Jason Dickinson	Alexander Nylander	Matt Benning	Brennan Menell

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Paul Byron	Jason Dickinson	Alexander Nylander	Matt Benning	Brennan Menell

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Mikhail Vorobyev, Jonathan Ang, Casey Mittelstadt	Mikhail Vorobyev, Jonathan Ang	Casey Mittelstadt

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Martin Fehervary, , Jacob Middleton	Martin Fehervary	, Jacob Middleton

Tirs de Pénalité
Jason Dickinson, Paul Byron, Alexander Nylander, Jesperi Kotkaniemi, Daniel Sprong

Gardien
#1 : Ryan Miller, #2 : Kevin Poulin

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

	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	Penguins	4	1	3	0	0	0	0	0	6	14	-8	2	1	1	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	2	7	-5	2	0.250	6	11	17	0	0	2	1	3	0	72	32	19	21	0	85	23	45	60	36	1	2.78%	20	4	80.00%	0	54	103	52.43%	45	104	43.27%	26	57	45.61%	100	71	91	29	47	24
	Total	4	1	3	0	0	0	0	0	6	14	-8	2	1	1	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	2	7	-5	2	0.250	6	11	17	0	0	2	1	3	0	72	32	19	21	0	85	23	45	60	36	1	2.78%	20	4	80.00%	0	54	103	52.43%	45	104	43.27%	26	57	45.61%	100	71	91	29	47	24
	_Since Last GM Reset	4	1	3	0	0	0	0	0	6	14	-8	2	1	1	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	2	7	-5	2	0.250	6	11	17	0	0	2	1	3	0	72	32	19	21	0	85	23	45	60	36	1	2.78%	20	4	80.00%	0	54	103	52.43%	45	104	43.27%	26	57	45.61%	100	71	91	29	47	24
	_Vs Conference	4	1	3	0	0	0	0	0	6	14	-8	2	1	1	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	2	7	-5	2	0.250	6	11	17	0	0	2	1	3	0	72	32	19	21	0	85	23	45	60	36	1	2.78%	20	4	80.00%	0	54	103	52.43%	45	104	43.27%	26	57	45.61%	100	71	91	29	47	24
	_Vs Division	4	1	3	0	0	0	0	0	6	14	-8	2	1	1	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	2	7	-5	2	0.250	6	11	17	0	0	2	1	3	0	72	32	19	21	0	85	23	45	60	36	1	2.78%	20	4	80.00%	0	54	103	52.43%	45	104	43.27%	26	57	45.61%	100	71	91	29	47	24

			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	2	L3	6	11	17	72	85	23	45	60	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	6	14

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	4	7

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	2	7

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	3	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
36	1	2.78%	20	4	80.00%	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
32	19	21	0	2	1	3	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
54	103	52.43%	45	104	43.27%	26	57	45.61%

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	71	91	29	47	24

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 - 2020-06-22	3	Penguins	2	Monarchs	3	W	Sommaire du Match
2 - 2020-06-23	7	Penguins	5	Monarchs	1	L	Sommaire du Match
3 - 2020-06-24	11	Monarchs	1	Penguins	5	L	Sommaire du Match
4 - 2020-06-25	15	Monarchs	1	Penguins	2	L	Sommaire du Match

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
-2	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$	2,786,967$	2,285,967$	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$	1	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
2020	4	1	3	0	0	0	0	0	6	14	-8	2	1	1	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	2	7	-5	2	6	11	17	0	0	2	1	3	0	72	32	19	21	0	85	23	45	60	36	1	2.78%	20	4	80.00%	0	54	103	52.43%	45	104	43.27%	26	57	45.61%	100	71	91	29	47	24
Total Séries	4	1	3	0	0	0	0	0	6	14	-8	2	1	1	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	2	7	-5	2	6	11	17	0	0	2	1	3	0	72	32	19	21	0	85	23	45	60	36	1	2.78%	20	4	80.00%	0	54	103	52.43%	45	104	43.27%	26	57	45.61%	100	71	91	29	47	24