LHSIR - Phantoms

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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	Lane Pederson	X				100.00	71	71	70	66	71	68	69	67	80	63	67	63	64	44	44	67	50	0	0
2	Gemel Smith	X	X	X		100.00	69	68	72	72	68	74	76	67	80	59	68	65	65	56	56	67	50	0	0
3	Melker Karlsson	X		X		100.00	67	42	89	78	65	62	87	57	40	60	59	77	75	66	69	65	50	0	0
4	Mikkel Boedker		X	X		100.00	67	43	99	85	76	54	63	62	32	60	59	72	61	75	77	64	50	0	0
5	Maxim Letunov	X				100.00	77	71	91	62	71	70	72	65	80	66	60	66	57	44	44	65	50	0	0
6	Nathan Bastian			X		100.00	77	78	75	62	78	77	81	62	50	58	62	65	59	44	44	64	50	0	0
7	Lean Bergmann (R)		X	X		100.00	89	46	89	75	76	51	64	51	26	58	55	56	25	45	45	60	50	0	0
8	Jack Studnicka (R)	X				100.00	71	65	85	73	65	75	78	65	80	61	65	63	62	44	44	67	50	0	0
9	Evan Rodrigues	X	X	X		100.00	65	41	90	77	66	59	77	61	65	59	64	70	75	63	63	66	50	0	0
10	Valentin Zykov		X	X		100.00	78	45	87	71	80	62	59	64	25	65	58	56	25	48	48	62	50	0	0
11	Andreas Johnsson		X	X		100.00	75	43	89	80	70	70	75	76	25	75	71	58	80	58	59	71	44	0	0
12	Alex Formenton (R)		X			100.00	72	73	71	76	73	67	68	66	50	61	68	64	65	44	44	67	50	0	0
13	Mark Alt				X	100.00	78	77	81	65	77	70	76	47	25	37	42	62	40	44	44	53	50	0	0
14	Luke Green				X	100.00	75	69	90	60	69	40	40	42	25	28	41	59	39	44	44	48	50	0	0
15	Mark Friedman				X	100.00	71	67	81	64	67	75	81	51	25	47	41	59	39	44	44	54	50	0	0
16	Reece Willcox (R)				X	100.00	77	70	92	62	70	71	78	47	25	39	40	61	38	44	44	53	50	0	0
17	Josh Brook (R)				X	100.00	73	71	79	69	71	73	80	47	25	37	41	59	39	44	44	52	50	0	0
18	Travis Sanheim				X	100.00	67	42	86	80	70	80	93	67	25	59	53	80	25	60	61	67	50	0	0
Rayé
1	Cole Bardreau (R)	X		X		100.00	86	45	82	63	66	52	62	54	59	60	59	68	25	55	55	63	50	0	0
2	Givani Smith		X	X		100.00	85	76	87	66	76	54	78	70	25	55	59	61	25	45	45	63	50	0	0
3	Jack Kopacka		X			100.00	80	72	98	62	72	56	56	56	50	50	57	65	54	44	44	60	50	0	0
4	Danil Yurtaykin (R)		X	X		100.00	69	61	89	71	61	60	62	55	50	60	46	59	44	44	44	56	50	0	0
5	Tyrell Goulbourne		X	X		100.00	72	70	78	68	70	69	76	45	50	41	44	58	42	44	44	52	50	0	0

	MOYENNE D'ÉQUIPE					100.00	74	61	85	70	71	65	72	58	44	55	56	64	49	50	50	61	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	Anton Forsberg	100.00	55	61	76	78	55	57	50	58	53	52	30	48	48	55	50	0	0
2	Charlie Lindgren	100.00	51	58	73	75	48	53	54	58	52	52	30	46	46	53	50	0	0
Rayé
1	Joseph Woll (R)	100.00	50	64	80	80	45	52	50	55	49	49	30	44	44	52	50	0	0

	MOYENNE D'ÉQUIPE	100.00	52	61	76	78	49	54	51	57	51	51	30	46	46	53	50	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dominique Ducharme	73	72	70	68	69	64	79	CAN	49	3	850,000$

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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	PPG	PPA	PPP	PPS	PPM	PKS	PKM	FO%	FOT	P/20	S2	S3
1	Maxim Letunov	Phantoms (PHI)	C	3	1	1	2	2	2	1	6	4	2	5	25.00%	0	37	12.52	0	0	0	0	0	0	0	48.00%	25	1.06	0	1
2	Nathan Bastian	Phantoms (PHI)	RW	3	1	1	2	2	0	5	0	4	1	2	25.00%	0	37	12.53	0	0	0	0	0	0	0	100.00%	1	1.06	1	0
3	Andreas Johnsson	Phantoms (PHI)	LW/RW	3	2	0	2	-2	0	5	7	5	0	6	40.00%	0	59	19.81	1	0	1	2	6	1	18	26.67%	30	0.67	0	0
4	Alex Formenton	Phantoms (PHI)	LW	3	0	2	2	2	2	0	3	5	0	5	0.00%	0	41	13.92	0	0	0	0	0	0	4	0.00%	0	0.96	0	0
5	Lane Pederson	Phantoms (PHI)	C	3	0	1	1	-4	2	0	0	1	0	2	0.00%	0	25	8.44	0	1	1	1	1	0	1	55.56%	27	0.79	0	0
6	Mikkel Boedker	Phantoms (PHI)	LW/RW	3	0	1	1	-2	0	0	4	6	0	2	0.00%	0	57	19.12	0	0	0	1	6	0	17	40.00%	5	0.35	0	0
7	Luke Green	Phantoms (PHI)	D	3	0	1	1	2	4	2	0	1	0	0	0.00%	3	45	15.31	0	0	0	0	0	0	5	0.00%	0	0.44	0	0
8	Evan Rodrigues	Phantoms (PHI)	C/LW/RW	3	1	0	1	-2	0	0	5	6	1	4	16.67%	0	44	14.67	1	0	1	2	4	0	0	100.00%	2	0.45	0	0
9	Valentin Zykov	Phantoms (PHI)	LW/RW	3	0	1	1	-2	0	2	2	0	0	2	0.00%	0	44	14.67	0	1	1	0	4	0	0	0.00%	2	0.45	0	0
10	Travis Sanheim	Phantoms (PHI)	D	3	0	1	1	-4	4	0	4	4	0	1	0.00%	3	69	23.08	0	1	1	3	7	0	16	0.00%	0	0.29	0	0
11	Gemel Smith	Phantoms (PHI)	C/LW/RW	3	0	0	0	-2	0	1	6	6	6	2	0.00%	1	50	16.90	0	0	0	2	4	0	12	62.50%	40	0.00	0	0
12	Mark Alt	Phantoms (PHI)	D	3	0	0	0	2	4	7	0	0	0	0	0.00%	0	52	17.34	0	0	0	0	0	0	6	0.00%	0	0.00	0	0
13	Melker Karlsson	Phantoms (PHI)	C/RW	3	0	0	0	-4	0	2	1	3	1	1	0.00%	0	34	11.61	0	0	0	0	0	0	12	37.50%	8	0.00	0	0
14	Mark Friedman	Phantoms (PHI)	D	3	0	0	0	-4	4	7	0	0	0	1	0.00%	5	67	22.43	0	0	0	0	7	0	15	0.00%	0	0.00	0	0
15	Reece Willcox	Phantoms (PHI)	D	3	0	0	0	-4	10	6	0	1	0	3	0.00%	7	59	19.81	0	0	0	1	3	0	11	0.00%	0	0.00	0	0
16	Lean Bergmann	Phantoms (PHI)	LW/RW	3	0	0	0	-4	2	3	1	1	0	0	0.00%	0	22	7.39	0	0	0	0	0	0	0	0.00%	0	0.00	0	0
17	Jack Studnicka	Phantoms (PHI)	C	3	0	0	0	-2	2	3	2	2	0	2	0.00%	0	52	17.63	0	0	0	0	5	0	7	47.37%	38	0.00	0	0
18	Josh Brook	Phantoms (PHI)	D	3	0	0	0	-4	2	4	5	0	0	0	0.00%	3	62	20.72	0	0	0	0	3	0	15	0.00%	0	0.00	0	0
Stats d'équipe Total ou en Moyenne				54	5	9	14	-30	38	48	46	49	11	38	10.20%	22	863	16.00	2	3	5	12	57	1	143	48.31%	178	0.32	1	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	L	PCT	GAA	MP	GA	SA	ST	BG
1	Anton Forsberg	Phantoms (PHI)	1	0	1.000	0.00	18	0	5	0	3
2	Charlie Lindgren	Phantoms (PHI)	3	3	0.739	4.50	160	12	46	3	0
Stats d'équipe Total ou en Moyenne			4	3	0.765	4.02	179	12	51	3	3

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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
Alex Formenton	Phantoms (PHI)	LW	20	1999-09-13	Yes	190 Lbs	6 ft3	No	No	No	3	Pro & Farm	888,333$	88,833$	888,333$	88,833$	0$	0$	No	888,333$	888,333$
Andreas Johnsson	Phantoms (PHI)	LW/RW	25	1994-11-21	No	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	787,500$	78,750$	1,418,750$	141,875$	0$	0$	No			Lien
Anton Forsberg	Phantoms (PHI)	G	27	1992-11-26	No	192 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,000,000$	100,000$	1,000,000$	100,000$	0$	0$	No			Lien
Charlie Lindgren	Phantoms (PHI)	G	26	1993-12-17	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,300,000$	130,000$	1,300,000$	130,000$	0$	0$	No			Lien
Cole Bardreau	Phantoms (PHI)	C/RW	26	1993-07-22	Yes	185 Lbs	5 ft10	No	No	No	3	Pro & Farm	700,000$	70,000$	700,000$	70,000$	0$	0$	No	700,000$	700,000$
Danil Yurtaykin	Phantoms (PHI)	LW/RW	22	1997-07-01	Yes	165 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,000,000$	100,000$	1,000,000$	100,000$	0$	0$	No			Lien
Evan Rodrigues	Phantoms (PHI)	C/LW/RW	26	1993-07-28	No	182 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,000,000$	100,000$	1,000,000$	100,000$	0$	0$	No			Lien
Gemel Smith (Contrat à 1 Volet)	Phantoms (PHI)	C/LW/RW	26	1994-04-16	No	190 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,000,000$	100,000$	1,000,000$	100,000$	100,000$	10,000$	No			Lien
Givani Smith	Phantoms (PHI)	LW/RW	22	1998-02-27	No	204 Lbs	6 ft2	No	No	No	2	Pro & Farm	913,333$	91,333$	913,333$	91,333$	0$	0$	No	913,333$		Lien
Jack Kopacka	Phantoms (PHI)	LW	22	1998-05-05	No	192 Lbs	6 ft2	No	No	No	2	Pro & Farm	910,833$	91,083$	910,000$	91,000$	0$	0$	No	910,833$		Lien
Jack Studnicka	Phantoms (PHI)	C	21	1999-02-17	Yes	171 Lbs	6 ft1	No	No	No	3	Pro & Farm	863,333$	86,333$	863,333$	86,333$	0$	0$	No	863,333$	863,333$	Lien
Joseph Woll	Phantoms (PHI)	G	21	1998-07-12	Yes	200 Lbs	6 ft3	No	No	No	3	Pro & Farm	850,000$	85,000$	800,000$	80,000$	0$	0$	No	800,000$	800,000$	Lien
Josh Brook	Phantoms (PHI)	D	21	1999-06-17	Yes	192 Lbs	6 ft1	No	No	No	3	Pro & Farm	910,833$	91,083$	910,833$	91,083$	0$	0$	No	910,833$	910,833$
Lane Pederson	Phantoms (PHI)	C	22	1997-08-04	No	192 Lbs	6 ft1	No	No	No	3	Pro & Farm	777,500$	77,750$	690,000$	69,000$	0$	0$	No	690,000$	690,000$	Lien
Lean Bergmann	Phantoms (PHI)	LW/RW	21	1998-10-04	Yes	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,000,000$	100,000$	1,000,000$	100,000$	0$	0$	No			Lien
Luke Green	Phantoms (PHI)	D	22	1998-01-11	No	188 Lbs	6 ft1	No	No	No	2	Pro & Farm	838,333$	83,833$	850,000$	85,000$	0$	0$	No	838,333$		Lien
Mark Alt	Phantoms (PHI)	D	28	1991-10-17	No	201 Lbs	6 ft4	No	No	No	1	Pro & Farm	650,000$	65,000$	650,000$	65,000$	0$	0$	No			Lien
Mark Friedman	Phantoms (PHI)	D	24	1995-12-25	No	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	825,000$	82,500$	825,000$	82,500$	0$	0$	No	825,000$		Lien
Maxim Letunov	Phantoms (PHI)	C	24	1996-02-19	No	180 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,000,000$	100,000$	1,000,000$	100,000$	0$	0$	No			Lien
Melker Karlsson	Phantoms (PHI)	C/RW	29	1990-07-18	No	182 Lbs	5 ft10	No	No	No	1	Pro & Farm	2,000,000$	200,000$	2,000,000$	200,000$	0$	0$	No			Lien
Mikkel Boedker	Phantoms (PHI)	LW/RW	30	1989-12-15	No	210 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,000,000$	100,000$	1,000,000$	100,000$	0$	0$	No			Lien
Nathan Bastian	Phantoms (PHI)	RW	22	1997-12-06	No	205 Lbs	6 ft4	No	No	No	3	Pro & Farm	992,500$	99,250$	905,000$	90,500$	0$	0$	No	905,000$	905,000$	Lien
Reece Willcox	Phantoms (PHI)	D	26	1994-05-20	Yes	183 Lbs	6 ft3	No	No	No	3	Pro & Farm	675,000$	67,500$	675,000$	67,500$	0$	0$	No	675,000$	675,000$
Travis Sanheim	Phantoms (PHI)	D	24	1996-03-28	No	181 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,263,333$	126,333$	1,263,333$	126,333$	0$	0$	No			Lien
Tyrell Goulbourne	Phantoms (PHI)	LW/RW	26	1994-01-25	No	195 Lbs	5 ft11	No	No	No	1	Pro & Farm	775,000$	77,500$	775,000$	77,500$	0$	0$	No			Lien
Valentin Zykov	Phantoms (PHI)	LW/RW	25	1995-05-14	No	224 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,000,000$	100,000$	1,000,000$	100,000$	0$	0$	No			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	24.15	191 Lbs	6 ft1	1.77	958,494$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Andreas Johnsson	Gemel Smith	Mikkel Boedker	35	1	2	2
2	Evan Rodrigues	Jack Studnicka	Valentin Zykov	30	1	2	2
3	Alex Formenton	Maxim Letunov	Nathan Bastian	25	1	2	2
4	Lean Bergmann	Lane Pederson	Melker Karlsson	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Travis Sanheim	Mark Friedman	35	1	2	2
2	Josh Brook	Reece Willcox	30	1	2	2
3	Mark Alt	Luke Green	25	1	2	2
4	Travis Sanheim	Mark Friedman	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Andreas Johnsson	Jack Studnicka	Mikkel Boedker	60	1	2	2
2	Evan Rodrigues	Gemel Smith	Valentin Zykov	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Travis Sanheim	Mark Friedman	60	1	2	2
2	Josh Brook	Reece Willcox	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Andreas Johnsson	Mikkel Boedker	60	1	2	2
2	Melker Karlsson	Gemel Smith	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Travis Sanheim	Mark Friedman	60	1	2	2
2	Josh Brook	Reece Willcox	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Andreas Johnsson	60	1	2	2	Travis Sanheim	Mark Friedman	60	1	2	2
2	Mikkel Boedker	40	1	2	2	Josh Brook	Reece Willcox	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Andreas Johnsson	Mikkel Boedker	60	1	2	2
2	Melker Karlsson	Gemel Smith	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Travis Sanheim	Mark Friedman	60	1	2	2
2	Josh Brook	Reece Willcox	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Andreas Johnsson	Melker Karlsson	Mikkel Boedker	Travis Sanheim	Mark Friedman

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Andreas Johnsson	Melker Karlsson	Mikkel Boedker	Travis Sanheim	Mark Friedman

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Lane Pederson, Alex Formenton, Jack Studnicka	Lane Pederson, Alex Formenton	Jack Studnicka

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Mark Alt, Luke Green, Josh Brook	Mark Alt	Luke Green, Josh Brook

Tirs de Pénalité
Andreas Johnsson, Mikkel Boedker, Melker Karlsson, Gemel Smith, Evan Rodrigues

Gardien
#1 : Charlie Lindgren, #2 : Anton Forsberg

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
	Total	3	0	3	0	0	0	0	0	5	12	-7	1	0	1	0	0	0	0	0	0	4	-4	2	0	2	0	0	0	0	0	5	8	-3	0	0.000	5	9	14	0	0	3	2	0	0	49	15	19	15	0	51	22	38	48	7	2	28.57%	19	3	84.21%	0	34	66	51.52%	28	66	42.42%	24	46	52.17%	60	41	84	21	34	14
2	Wolf Pack	3	0	3	0	0	0	0	0	5	12	-7	1	0	1	0	0	0	0	0	0	4	-4	2	0	2	0	0	0	0	0	5	8	-3	0	0.000	5	9	14	0	0	3	2	0	0	49	15	19	15	0	51	22	38	48	7	2	28.57%	19	3	84.21%	0	34	66	51.52%	28	66	42.42%	24	46	52.17%	60	41	84	21	34	14
	_Since Last GM Reset	3	0	3	0	0	0	0	0	5	12	-7	1	0	1	0	0	0	0	0	0	4	-4	2	0	2	0	0	0	0	0	5	8	-3	0	0.000	5	9	14	0	0	3	2	0	0	49	15	19	15	0	51	22	38	48	7	2	28.57%	19	3	84.21%	0	34	66	51.52%	28	66	42.42%	24	46	52.17%	60	41	84	21	34	14
	_Vs Conference	3	0	3	0	0	0	0	0	5	12	-7	1	0	1	0	0	0	0	0	0	4	-4	2	0	2	0	0	0	0	0	5	8	-3	0	0.000	5	9	14	0	0	3	2	0	0	49	15	19	15	0	51	22	38	48	7	2	28.57%	19	3	84.21%	0	34	66	51.52%	28	66	42.42%	24	46	52.17%	60	41	84	21	34	14
	_Vs Division	3	0	3	0	0	0	0	0	5	12	-7	1	0	1	0	0	0	0	0	0	4	-4	2	0	2	0	0	0	0	0	5	8	-3	0	0.000	5	9	14	0	0	3	2	0	0	49	15	19	15	0	51	22	38	48	7	2	28.57%	19	3	84.21%	0	34	66	51.52%	28	66	42.42%	24	46	52.17%	60	41	84	21	34	14

			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
3	0	L3	5	9	14	49	51	22	38	48	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	5	12

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

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	5	8

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	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
7	2	28.57%	19	3	84.21%	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
15	19	15	0	3	2	0	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
34	66	51.52%	28	66	42.42%	24	46	52.17%

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
60	41	84	21	34	14

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	1	Phantoms	2	Wolf Pack	4	L	Sommaire du Match
2 - 2020-06-23	5	Phantoms	3	Wolf Pack	4	L	Sommaire du Match
3 - 2020-06-24	9	Wolf Pack	4	Phantoms	0	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
-1	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$	2,392,081$	2,433,790$	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	3	0	3	0	0	0	0	0	5	12	-7	1	0	1	0	0	0	0	0	0	4	-4	2	0	2	0	0	0	0	0	5	8	-3	0	5	9	14	0	0	3	2	0	0	49	15	19	15	0	51	22	38	48	7	2	28.57%	19	3	84.21%	0	34	66	51.52%	28	66	42.42%	24	46	52.17%	60	41	84	21	34	14
Total Séries	3	0	3	0	0	0	0	0	5	12	-7	1	0	1	0	0	0	0	0	0	4	-4	2	0	2	0	0	0	0	0	5	8	-3	0	5	9	14	0	0	3	2	0	0	49	15	19	15	0	51	22	38	48	7	2	28.57%	19	3	84.21%	0	34	66	51.52%	28	66	42.42%	24	46	52.17%	60	41	84	21	34	14