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	Comets
	GP: 12 \| W: 5 \| L: 7 GF: 42 \| GA: 48 \| PP%: 4.35% \| PK%: 66.67% DG: Christopher Jacobus \| Morale : 50 \| Moyenne d'�quipe : 69

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Devils
Formation
Points
Informations Joueurs
Lignes
Statistiques d'�quipe
Calendrier
Finance
Client Web pour Lignes


	Wolves 8-1-0, 16pts	3	FINAL	5	Comets 5-7-0, 10pts

Team Stats
W1	Streak	L1
5-0-0	Home Record	3-2-0
3-1-0	Away Record	2-5-0
8-1-0	Last 10 Games	4-5-1
4.78		3.50
2.44		4.00
33.33%		4.35%
86.36%		66.67%

Comets
5-7-0, 10pts

FINAL

Wolves
8-1-0, 16pts

Team Stats
L1	Streak	W1
3-2-0	Home Record	5-0-0
2-5-0	Away Record	3-1-0
4-5-1	Last 10 Games	8-1-0
3.50		4.78
4.00		2.44
4.35%		33.33%
66.67%		86.36%


	Buts Jayson Megna 7			Passes Austin Czarnik 9

	Points Hudson Fasching 13			Plus/Moins Hudson Fasching 7

	Victoires Connor Ingram 3			Pourcentage d'Arr�ts Connor Ingram 0.906

Statistiques d'�quipe
42 3.50 GFG	Tirs Pour 472 39.33 Avg	4.3% 1 GF	38.9%
Buts Contre 48 4.00 GAA	Tirs Contre 411 34.25 Avg	66.7% 8 GA	35.2%


	Directeur g�n�ral	Christopher Jacobus
		Metropolitan Division
		Eastern Conference




	Capacit� de l'Ar�na	5,000
	Assistance	5,000
		5,000

		24
		18
		42 / 55
	�spoirs	25

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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	�ge	Contrat	Salaire Moyen
1	Josh Leivo	9		X	X		100.00	73	52	96	72	85	52	61	61	40	70	71	63	66	66	66	0	50	75	0	30	1	750,000$
2	Hudson Fasching	65			X		100.00	73	51	97	70	84	50	59	60	40	68	71	65	66	66	66	0	50	74	0	27	1	750,000$
3	Jayson Megna	78	X	X	X		100.00	74	51	97	68	82	44	66	56	57	67	69	73	62	62	62	0	50	74	0	33	2	750,000$
4	Austin Czarnik	75	X		X		100.00	69	51	97	72	82	48	55	59	55	68	70	55	64	64	64	0	50	72	0	30	2	750,000$
5	Ryan Carpenter	56	X		X		100.00	79	53	94	70	81	45	55	57	58	67	69	55	63	63	63	0	50	72	0	32	2	750,000$
6	Brian Halonen (R)	43		X			100.00	59	36	73	64	64	58	45	57	36	64	68	60	62	25	40	0	50	68	0	24	2	925,000$
7	Michael Carcone	71		X	X		100.00	58	54	75	62	60	58	65	53	36	65	66	56	60	25	40	0	50	66	0	27	1	813,750$
8	Noel Gunler (R)	8			X		100.00	53	36	81	60	69	58	45	51	36	63	66	44	59	25	40	0	50	65	0	21	3	925,000$
9	Joseph Blandisi	64	X				100.00	55	52	79	57	57	58	58	45	65	61	65	49	55	25	40	0	50	62	0	28	1	840,000$
10	Nick Swaney (R)	74			X		100.00	52	61	84	54	55	73	84	41	36	58	64	45	53	25	40	0	50	61	0	25	3	971,250$
11	Isaac Johnson (R)	36			X		100.00	52	36	84	52	59	58	45	38	36	57	63	37	51	25	40	0	50	58	0	24	1	943,500$
12	Reece Newkirk (R)	79	X				100.00	54	37	80	52	58	58	45	38	65	58	63	38	51	25	40	0	50	58	0	22	2	828,333$
13	Brendan Smith	6				X	100.00	75	55	88	73	80	56	72	64	40	66	68	83	66	66	66	0	50	80	0	34	2	1,034,000$
14	Scott Harrington	55				X	100.00	71	51	96	67	80	61	55	66	40	68	69	74	67	67	67	0	50	78	0	30	1	750,000$
15	Jacob MacDonald	42				X	100.00	73	53	94	69	81	45	70	60	40	67	69	74	64	64	64	0	50	76	0	30	1	762,500$
16	Isaak Phillips (R)	37				X	100.00	75	51	96	71	80	57	55	60	40	71	69	55	64	64	64	0	50	75	0	21	2	925,000$
17	Vincent Desharnais	73				X	100.00	73	55	89	72	80	50	55	63	40	67	67	55	65	65	65	0	50	73	0	27	1	806,631$
18	Parker Wotherspoon	76				X	100.00	70	52	95	66	80	49	55	61	40	66	68	55	64	64	64	0	50	72	0	25	1	925,000$
Ray�
1	Ryan Chyzowski (R)	89	X				100.00	52	42	84	51	53	58	45	37	65	55	64	32	50	25	40	0	50	56	0	23	1	934,250$
2	Lawrence Pilut (R)	77				X	100.00	67	50	99	72	80	47	55	60	40	67	68	55	64	64	64	0	50	71	0	27	1	750,000$
3	Adam Ginning (R)	53				X	100.00	54	64	81	52	53	80	93	38	36	58	63	44	51	25	40	0	50	61	0	23	1	883,750$
4	Darien Kielb (R)	49				X	100.00	55	37	79	54	61	58	45	40	36	59	64	50	52	25	40	0	50	61	0	24	1	925,000$

	MOYENNE D'�QUIPE						100.00	64	49	88	64	71	56	58	53	44	64	67	55	60	47	53	0	50	69

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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	�ge	Contrat	Salaire Moyen
1	Connor Ingram	100.00	86	65	62	78	78	73	76	79	79	70	79	27	54	0	50	80	0	26	2	971,250$
2	Arvid Soderblom (R)	100.00	74	65	53	72	78	75	71	78	69	48	73	26	52	0	50	75	0	23	1	925,000$
Ray�

	MOYENNE D'�QUIPE	100.00	80	65	58	75	78	74	74	79	74	59	76	27	53	0	50	78

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	�ge	Contrat	Salaire

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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'�quipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	PSS	FW	FT	S1	S2	S3
1	Hudson Fasching	Comets (NJD)	RW	12	6	7	13	7	2	0	14	9	44	8	26	13.64%	4	218	18.21	0	0	0	5	21	0	22	1	0	18.21	15	26	9	1.19	0	0	0	1	0	0
2	Austin Czarnik	Comets (NJD)	C/RW	12	3	9	12	0	0	0	18	10	35	13	24	8.57%	1	184	15.39	0	0	0	0	0	1	5	2	0	15.39	142	23	7	1.30	0	0	0	0	1	0
3	Jayson Megna	Comets (NJD)	C/LW/RW	12	7	4	11	-1	0	0	32	15	37	7	20	18.92%	7	221	18.43	0	1	1	5	19	0	22	0	0	18.43	41	17	7	0.99	0	0	0	2	0	0
4	Scott Harrington	Comets (NJD)	D	12	5	5	10	5	0	0	13	26	46	14	18	10.87%	21	288	24.04	0	0	0	4	23	0	17	1	0	0.00%	0	10	19	0.69	0	0	0	0	2	0
5	Vincent Desharnais	Comets (NJD)	D	12	3	7	10	2	0	0	20	17	28	15	16	10.71%	6	203	16.96	0	0	0	0	18	0	0	0	0	0.00%	0	9	11	0.98	0	0	0	0	0	1
6	Jacob MacDonald	Comets (NJD)	D	12	5	3	8	-3	0	0	21	35	34	17	19	14.71%	27	270	22.53	0	0	0	3	18	0	15	0	1	0.00%	0	4	23	0.59	1	0	0	1	0	0
7	Josh Leivo	Comets (NJD)	LW/RW	12	2	5	7	6	4	0	19	12	37	10	28	5.41%	2	201	16.77	1	0	1	5	19	0	5	1	0	16.77	11	16	3	0.70	0	0	0	0	0	0
8	Brian Halonen	Comets (NJD)	LW	12	4	3	7	-4	0	0	20	14	52	18	34	7.69%	4	183	15.26	0	0	0	0	0	0	0	0	0	15.26	9	20	2	0.76	0	0	0	0	1	0
9	Brendan Smith	Comets (NJD)	D	12	1	5	6	2	10	0	18	33	33	24	11	3.03%	28	261	21.75	0	0	0	0	0	0	13	0	1	0.00%	0	13	15	0.46	0	0	0	1	0	0
10	Ryan Carpenter	Comets (NJD)	C/RW	12	2	4	6	6	8	0	23	7	24	5	15	8.33%	5	203	16.96	0	0	0	7	22	0	8	0	0	16.96	153	21	3	0.59	0	0	0	0	0	1
11	Parker Wotherspoon	Comets (NJD)	D	12	1	4	5	2	0	0	7	17	22	9	14	4.55%	15	191	15.93	0	0	0	0	0	0	6	0	1	0.00%	0	7	10	0.52	0	0	0	0	0	1
12	Michael Carcone	Comets (NJD)	LW/RW	12	0	4	4	-1	6	0	16	6	21	7	17	0.00%	5	136	11.34	0	0	0	0	0	0	0	0	0	0.00%	3	14	3	0.59	0	0	0	0	0	0
13	Noel Gunler	Comets (NJD)	RW	12	0	4	4	-1	6	0	6	3	5	1	5	0.00%	0	196	16.37	0	0	0	0	21	0	0	0	0	16.37	10	3	0	0.41	0	0	0	0	0	0
14	Joseph Blandisi	Comets (NJD)	C	12	1	2	3	-4	4	0	17	10	16	8	9	6.25%	6	206	17.18	0	0	0	1	19	0	0	0	1	17.18	154	3	1	0.29	0	0	0	0	0	0
15	Isaak Phillips	Comets (NJD)	D	12	1	2	3	-6	4	0	17	11	26	11	11	3.85%	16	276	23.01	0	0	0	3	22	0	13	0	0	0.00%	0	12	9	0.22	0	0	0	0	0	0
16	Nick Swaney	Comets (NJD)	RW	12	1	1	2	-4	15	15	4	0	7	4	2	14.29%	0	177	14.79	0	0	0	0	0	0	0	0	0	14.79	9	0	3	0.23	0	1	2	0	0	0
17	Isaac Johnson	Comets (NJD)	RW	12	0	1	1	-1	2	0	6	4	3	0	6	0.00%	0	135	11.26	0	0	0	0	0	0	0	0	0	11.26	7	0	1	0.15	0	0	0	0	0	0
18	Reece Newkirk	Comets (NJD)	C	12	0	0	0	-1	0	0	10	3	2	2	4	0.00%	1	135	11.26	0	0	0	0	0	0	0	0	0	11.26	88	0	0	0.00%	0	0	0	0	0	0
Stats d'�quipe Total ou en Moyenne				216	42	70	112	4	61	15	281	232	472	173	279	8.90%	148	3689	17.08	1	1	2	33	206	1	131	5	4	46.42%	642	198	126	0.61	1	1	2	5	4	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 Gardien	Nom de l'�quipe	GP	W	L	OTL	PCT	GAA	MP	GA	SA	SAR	PS %	ST	BG	S2
1	Connor Ingram	Comets (NJD)	7	3	4	0	0.906	3.30	418	23	245	138	0.00%	7	0	1
2	Arvid Soderblom	Comets (NJD)	5	2	2	1	0.849	4.63	324	25	166	99	0.00%	5	7	0
Stats d'�quipe Total ou en Moyenne			12	5	6	1	0.883	3.88	743	48	411	237	0.000	12	7	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 Joueur	Nom de l'�quipe	POS	�ge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-�change	Disponible pour �change	Ballotage Forc�	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Ann�e 2	Salaire Ann�e 3	Link
Adam Ginning	Comets (NJD)	D	23	2000-01-13	Yes	205 Lbs	6 ft4	No	No	No	1	Pro & Farm	883,750$	294,583$	883,750$	294,583$	0$	0$	No			Lien / Lien NHL
Arvid Soderblom	Comets (NJD)	G	23	1999-08-19	Yes	179 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	308,333$	925,000$	308,333$	0$	0$	No			Lien / Lien NHL
Austin Czarnik	Comets (NJD)	C/RW	30	1992-12-12	No	170 Lbs	5 ft8	No	No	No	2	Pro & Farm	750,000$	250,000$	750,000$	250,000$	0$	0$	No	750,000$		Lien / Lien NHL
Brendan Smith	Comets (NJD)	D	34	1989-02-08	No	200 Lbs	6 ft2	Yes	No	No	2	Pro & Farm	1,034,000$	344,667$	1,034,000$	344,667$	0$	0$	No	1,034,000$		Lien / Lien NHL
Brian Halonen	Comets (NJD)	LW	24	1999-01-11	Yes	207 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	308,333$	925,000$	308,333$	0$	0$	No	925,000$		Lien / Lien NHL
Connor Ingram	Comets (NJD)	G	26	1997-03-31	No	196 Lbs	6 ft2	No	No	No	2	Pro & Farm	971,250$	323,750$	971,250$	323,750$	0$	0$	No	971,250$		Lien / Lien NHL
Darien Kielb	Comets (NJD)	D	24	1999-03-18	Yes	181 Lbs	6 ft3	No	No	No	1	Farm Only	925,000$	308,333$	925,000$	308,333$	0$	0$	No			Lien / Lien NHL
Hudson Fasching	Comets (NJD)	RW	27	1995-07-28	No	204 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	250,000$	750,000$	250,000$	0$	0$	No			Lien / Lien NHL
Isaac Johnson	Comets (NJD)	RW	24	1999-01-24	Yes	185 Lbs	6 ft2	No	No	No	1	Pro & Farm	943,500$	314,500$	943,500$	314,500$	0$	0$	No			Lien / Lien NHL
Isaak Phillips	Comets (NJD)	D	21	2001-09-28	Yes	193 Lbs	6 ft3	No	No	No	2	Farm Only	925,000$	308,333$	925,000$	308,333$	0$	0$	No	925,000$		Lien / Lien NHL
Jacob MacDonald	Comets (NJD)	D	30	1993-02-26	No	204 Lbs	6 ft0	No	No	No	1	Pro & Farm	762,500$	254,167$	762,500$	254,167$	0$	0$	No			Lien / Lien NHL
Jayson Megna	Comets (NJD)	C/LW/RW	33	1990-02-01	No	195 Lbs	6 ft1	No	No	No	2	Pro & Farm	750,000$	250,000$	750,000$	250,000$	0$	0$	No	750,000$		Lien / Lien NHL
Joseph Blandisi	Comets (NJD)	C	28	1994-07-18	No	184 Lbs	6 ft0	No	No	No	1	Pro & Farm	840,000$	280,000$	840,000$	280,000$	0$	0$	No			Lien / Lien NHL
Josh Leivo	Comets (NJD)	LW/RW	30	1993-05-26	No	192 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	250,000$	750,000$	250,000$	0$	0$	No			Lien / Lien NHL
Lawrence Pilut	Comets (NJD)	D	27	1995-12-30	Yes	194 Lbs	5 ft11	No	No	No	1	Pro & Farm	750,000$	250,000$	750,000$	250,000$	0$	0$	No			Lien / Lien NHL
Michael Carcone	Comets (NJD)	LW/RW	27	1996-05-19	No	170 Lbs	5 ft9	No	No	No	1	Pro & Farm	813,750$	271,250$	813,750$	271,250$	0$	0$	No			Lien / Lien NHL
Nick Swaney	Comets (NJD)	RW	25	1997-09-09	Yes	178 Lbs	5 ft10	No	No	No	3	Pro & Farm	971,250$	323,750$	971,250$	323,750$	0$	0$	No	971,250$	971,250$	Lien / Lien NHL
Noel Gunler	Comets (NJD)	RW	21	2001-10-07	Yes	176 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	308,333$	925,000$	308,333$	0$	0$	No	925,000$	925,000$	Lien / Lien NHL
Parker Wotherspoon	Comets (NJD)	D	25	1997-08-24	No	187 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	308,333$	925,000$	308,333$	0$	0$	No			Lien / Lien NHL
Reece Newkirk	Comets (NJD)	C	22	2001-02-20	Yes	181 Lbs	5 ft11	No	No	No	2	Pro & Farm	828,333$	276,111$	828,333$	276,111$	0$	0$	No	828,333$		Lien / Lien NHL
Ryan Carpenter	Comets (NJD)	C/RW	32	1991-01-18	No	196 Lbs	6 ft0	No	No	No	2	Pro & Farm	750,000$	250,000$	750,000$	250,000$	0$	0$	No	750,000$		Lien / Lien NHL
Ryan Chyzowski	Comets (NJD)	C	23	2000-05-14	Yes	170 Lbs	6 ft1	No	No	No	1	Pro & Farm	934,250$	311,417$	934,250$	311,417$	0$	0$	No			Lien / Lien NHL
Scott Harrington	Comets (NJD)	D	30	1993-03-10	No	204 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	250,000$	750,000$	250,000$	0$	0$	No			Lien / Lien NHL
Vincent Desharnais	Comets (NJD)	D	27	1996-05-29	No	215 Lbs	6 ft6	No	No	No	1	Pro & Farm	806,631$	268,877$	806,631$	268,877$	0$	0$	No			Lien / Lien NHL

Joueurs Total	�ge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Ann�e
24	26.50	190 Lbs	6 ft1	1.50	857,884$

Attaque � 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Josh Leivo	Ryan Carpenter	Hudson Fasching	30	0	1	4
2	Jayson Megna	Austin Czarnik	Noel Gunler	30	0	1	4
3	Brian Halonen	Joseph Blandisi	Nick Swaney	30	0	1	4
4	Michael Carcone	Reece Newkirk	Isaac Johnson	10	1	2	2

D�fense � 5 contre 5
Ligne #	D�fense	D�fense	% Temps	PHY	DF	OF
1	Isaak Phillips	Brendan Smith	40	0	4	1
2	Scott Harrington	Jacob MacDonald	40	0	4	1
3	Vincent Desharnais	Parker Wotherspoon	20	1	3	1
4	Scott Harrington	Isaak Phillips	0	1	2	2

Attaque en Avantage Num�rique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Hudson Fasching	Ryan Carpenter	Noel Gunler	50	0	0	5
2	Jayson Megna	Joseph Blandisi	Josh Leivo	50	0	0	5

D�fense en Avantage Num�rique
Ligne #	D�fense	D�fense	% Temps	PHY	DF	OF
1	Scott Harrington	Isaak Phillips	50	0	2	3
2	Vincent Desharnais	Jacob MacDonald	50	0	2	3

Attaque � 4 en D�savantage Num�rique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jayson Megna	Hudson Fasching	60	0	5	0
2	Austin Czarnik	Ryan Carpenter	40	0	5	0

D�fense � 4 en D�savantage Num�rique
Ligne #	D�fense	D�fense	% Temps	PHY	DF	OF
1	Scott Harrington	Brendan Smith	50	0	5	0
2	Isaak Phillips	Jacob MacDonald	50	0	5	0

3 joueurs en D�savantage Num�rique
Ligne #	Ailier	% Temps	PHY	DF	OF	D�fense	D�fense	% Temps	PHY	DF	OF
1	Jayson Megna	60	0	5	0	Scott Harrington	Brendan Smith	50	0	5	0
2	Hudson Fasching	40	0	5	0	Isaak Phillips	Jacob MacDonald	50	0	5	0

Attaque � 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ryan Carpenter	Hudson Fasching	60	0	2	3
2	Jayson Megna	Josh Leivo	40	0	2	3

D�fense � 4 contre 4
Ligne #	D�fense	D�fense	% Temps	PHY	DF	OF
1	Scott Harrington	Brendan Smith	50	0	3	2
2	Isaak Phillips	Jacob MacDonald	50	0	3	2

Attaque Derni�re Minute
Ailier Gauche	Centre	Ailier Droit	D�fense	D�fense
Jayson Megna	Austin Czarnik	Hudson Fasching	Scott Harrington	Jacob MacDonald

D�fense Derni�re Minute
Ailier Gauche	Centre	Ailier Droit	D�fense	D�fense
Austin Czarnik	Jayson Megna	Hudson Fasching	Scott Harrington	Jacob MacDonald

Attaquants Suppl�mentaires
Normal	Avantage Num�rique	D�savantage Num�rique
Hudson Fasching, Austin Czarnik, Jayson Megna	Hudson Fasching, Michael Carcone	Ryan Carpenter

D�fenseurs Suppl�mentaires
Normal	Avantage Num�rique	D�savantage Num�rique
Parker Wotherspoon, Isaak Phillips, Vincent Desharnais	Parker Wotherspoon	Parker Wotherspoon, Vincent Desharnais

Tirs de P�nalit�
Scott Harrington, Jayson Megna, Hudson Fasching, Vincent Desharnais, Austin Czarnik

Gardien
#1 : Connor Ingram, #2 : Arvid Soderblom

Lignes d'Attaque Perso. en Prol.
Jayson Megna, Hudson Fasching, Josh Leivo, Nick Swaney, Ryan Carpenter, Austin Czarnik, Austin Czarnik, Michael Carcone, Noel Gunler, Joseph Blandisi, Brian Halonen

Lignes de D�fense Perso. en Prol.
Brendan Smith, Scott Harrington, Isaak Phillips, Jacob MacDonald, Vincent Desharnais

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 �quipe	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	Islanders	7	4	3	0	0	0	0	0	29	28	1	3	2	1	0	0	0	0	0	15	9	6	4	2	2	0	0	0	0	0	14	19	-5	8	0.571	29	47	76	0	0	16	13	12	1	284	153	159	141	19	226	84	32	174	10	1	10.00%	12	4	66.67%	0	103	250	41.20%	115	226	50.88%	80	166	48.19%	276	177	270	99	197	97
2	Wolves	5	1	4	0	0	0	0	0	13	20	-7	2	1	1	0	0	0	0	0	7	6	1	3	0	3	0	0	0	0	0	6	14	-8	2	0.200	13	23	36	0	0	16	13	12	1	188	153	159	141	19	185	64	29	107	13	0	0.00%	12	4	66.67%	0	103	250	41.20%	115	226	50.88%	80	166	48.19%	276	177	270	99	197	97
	Total	12	5	7	0	0	0	0	0	42	48	-6	5	3	2	0	0	0	0	0	22	15	7	7	2	5	0	0	0	0	0	20	33	-13	10	0.417	42	70	112	0	0	16	13	12	1	472	153	159	141	19	411	148	61	281	23	1	4.35%	24	8	66.67%	0	103	250	41.20%	115	226	50.88%	80	166	48.19%	276	177	270	99	197	97
	_Since Last GM Reset	12	5	7	0	0	0	0	0	42	48	-6	5	3	2	0	0	0	0	0	22	15	7	7	2	5	0	0	0	0	0	20	33	-13	10	0.417	42	70	112	0	0	16	13	12	1	472	153	159	141	19	411	148	61	281	23	1	4.35%	24	8	66.67%	0	103	250	41.20%	115	226	50.88%	80	166	48.19%	276	177	270	99	197	97
	_Vs Conference	12	5	7	0	0	0	0	0	42	48	-6	5	3	2	0	0	0	0	0	22	15	7	7	2	5	0	0	0	0	0	20	33	-13	10	0.417	42	70	112	0	0	16	13	12	1	472	153	159	141	19	411	148	61	281	23	1	4.35%	24	8	66.67%	0	103	250	41.20%	115	226	50.88%	80	166	48.19%	276	177	270	99	197	97
	_Vs Division	12	5	7	0	0	0	0	0	42	48	-6	5	3	2	0	0	0	0	0	22	15	7	7	2	5	0	0	0	0	0	20	33	-13	10	0.417	42	70	112	0	0	16	13	12	1	472	153	159	141	19	411	148	61	281	23	1	4.35%	24	8	66.67%	0	103	250	41.20%	115	226	50.88%	80	166	48.19%	276	177	270	99	197	97

			Total Pour les Joueurs
Matchs Jou�s	Points	S�quence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqu�s	Minutes de P�nalit�	Mises en �chec	Buts en Filet D�sert	Blanchissage
12	10	L1	42	70	112	472	411	148	61	281	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	5	7	0	0	0	0	42	48

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	3	2	0	0	0	0	22	15

Matchs �xt�rieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	2	5	0	0	0	0	20	33

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	5	0	1	0	0

Tentatives en Avantage Num�rique	Buts en Avantage Num�rique	% en Avantage Num�rique	Tentatives en D�savantage Num�rique	Buts Contre en D�savantage Num�rique	% en D�savantage Num�rique	Buts Pour en D�savantage Num�rique
23	1	4.35%	24	8	66.67%	0

Tirs en 1e P�riode	Tirs en 2e P�riode	Tirs en 3e P�riode	Tirs en 4e P�riode	Buts en 1e P�riode	Buts en 2e P�riode	Buts en 3e P�riode	Buts en 4e P�riode
153	159	141	19	16	13	12	1

Mises en Jeu
Gagn�es en Zone Offensive	Total en Zone Offensive	% Gagn�es en Zone Offensive	Gagn�es en Zone D�fensive	Total en Zone D�fensive	% Gagn�es en Zone D�fensive	Gagn�es en Zone Neutre	Total en Zone Neutre	% Gagn�es en Zone Neutre
103	250	41.20%	115	226	50.88%	80	166	48.19%

Temps Avec la Rondelle
En Zone Offensive	Contr�le en Zone Offensive	En Zone D�fensive	Contr�le en Zone D�fensive	En Zone Neutre	Contr�le en Zone Neutre
276	177	270	99	197	97

Derniers Match Jou�s 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	�quipe Visiteuse	Score	�quipe Locale	Score	ST	OT	Lien
1 - 2024-04-18	4	Comets	7	Islanders	6	AW	X	Sommaire du Match
3 - 2024-04-20	12	Comets	1	Islanders	6	AL		Sommaire du Match
5 - 2024-04-22	20	Islanders	5	Comets	4	BL	X	Sommaire du Match
7 - 2024-04-24	28	Islanders	3	Comets	8	BW		Sommaire du Match
9 - 2024-04-26	36	Comets	3	Islanders	5	AL		Sommaire du Match
11 - 2024-04-28	44	Islanders	1	Comets	3	BW		Sommaire du Match
13 - 2024-04-30	52	Comets	3	Islanders	2	AW		Sommaire du Match
15 - 2024-05-02	58	Comets	2	Wolves	3	AL		Sommaire du Match
17 - 2024-05-04	62	Comets	2	Wolves	4	AL		Sommaire du Match
19 - 2024-05-06	66	Wolves	3	Comets	2	BL		Sommaire du Match
21 - 2024-05-08	70	Wolves	3	Comets	5	BW		Sommaire du Match
23 - 2024-05-10	74	Comets	2	Wolves	7	AL		Sommaire du Match

Capacit� de l'Ar�na - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacit� de l'Ar�na	3500	1500
Prix des Billets	50	25
Assistance	17,500	7,500
Assistance PCT	100.00%	100.00%

Revenus
Matchs � domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels � ce Jour	Capacit� de l'Ar�na	Popularit� de l'�quipe
36	5000 - 100.00%	108,375$	541,875$	5000	100

D�penses
D�penses Annuelles � Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	20,589,214$	20,589,214$	0$

Cap Salarial Par Jour	Cap salarial � ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0	0

�stimation
Revenus de la Saison �stim�s	Jours Restants de la Saison	D�penses Par Jour	D�penses de la Saison �stim�es
0$	14	0$	0$

Comets

Afficher ou Masquer des Colonnes

#	Nom du Joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Jean-Sebastien Dea	164	104	154	258	96	113	174	115	471	22.08%	37	2786	16.99	10	27	37	52	0	1	1	2	13	5	53.80%	7	1.85	2	5
2	Alexander Barabanov	82	130	124	254	99	12	79	136	320	40.63%	80	1822	22.22	19	9	28	36	4	4	8	12	12	4	32.30%	13	2.79	0	2
3	Travis Boyd	82	81	134	215	105	2	77	140	200	40.50%	74	1798	21.93	7	19	26	19	4	4	8	11	6	2	47.26%	5	2.39	0	2
4	Michael Carcone	164	55	98	153	28	34	265	108	448	12.28%	36	2629	16.04	10	15	25	34	2	2	4	11	12	1	41.44%	1	1.16	1	5
5	Isaak Phillips	246	31	90	121	-11	179	251	277	340	9.12%	277	4506	18.32	6	4	10	17	0	3	3	1	3	1	0.00%	0	0.54	0	0

Comets

Afficher ou Masquer des Colonnes

#	Nom du Gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Arvid Soderblom	117	79	32	6	0.896	3.34	7036	6	0	392	3766	2156	3	3	0.857	14
2	Kyle Keyser	129	58	64	7	0.829	4.79	7686	2	4	613	3581	2140	7	3	0.765	17
3	Adam Werner	3	0	0	0	0.604	12.81	89	0	0	19	48	20	0	0	0.000	0

Comets

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Ann�e	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 R�guli�re
2021	82	26	44	0	8	2	1	1	367	432	-65	41	14	22	0	3	2	0	0	188	206	-18	41	12	22	0	5	0	1	1	179	226	-47	73	367	576	943	2	4	0	124	121	113	1910	0	592	622	678	2065	789	1490	816	166	38	22.89%	206	52	74.76%	9	508	1057	48.06%	573	1113	51.48%	707	1424	49.65%	1693	1100	2007	620	1237	618
2022	82	42	25	0	4	6	3	2	356	297	59	41	25	10	0	1	3	1	1	184	132	52	41	17	15	0	3	3	2	1	172	165	7	106	356	630	986	1	0	131	122	96	9	3115	1153	994	954	34	2734	1022	322	1818	159	48	30.19%	161	34	78.88%	5	784	1477	53.08%	686	1340	51.19%	585	1192	49.08%	1895	1229	1747	657	1321	654
2023	82	49	27	0	2	2	2	0	385	304	81	41	29	11	0	1	0	0	0	217	138	79	41	20	16	0	1	2	2	0	168	166	2	108	385	670	1055	3	0	152	122	107	6	3222	1254	1017	943	12	2602	967	388	1815	122	28	22.95%	131	30	77.10%	6	772	1602	48.19%	738	1439	51.29%	630	1227	51.34%	2021	1349	1596	628	1316	668
Total Saison R�guli�re	246	117	96	0	14	10	6	3	1108	1033	75	123	68	43	0	5	5	1	1	589	476	113	123	49	53	0	9	5	5	2	519	557	-38	287	1108	1876	2984	6	4	283	368	324	128	8247	2407	2603	2519	724	7401	2778	2200	4449	447	114	25.50%	498	116	76.71%	20	2064	4136	49.90%	1997	3892	51.31%	1922	3843	50.01%	5610	3679	5350	1905	3875	1940
S�ries
2022	21	16	5	0	0	0	0	0	84	52	32	11	8	3	0	0	0	0	0	50	26	24	10	8	2	0	0	0	0	0	34	26	8	32	84	150	234	0	0	32	25	24	3	798	320	246	220	12	753	274	104	441	49	13	26.53%	53	12	77.36%	2	196	404	48.51%	203	411	49.39%	141	281	50.18%	496	327	458	163	327	164
2023	12	5	7	0	0	0	0	0	42	48	-6	5	3	2	0	0	0	0	0	22	15	7	7	2	5	0	0	0	0	0	20	33	-13	10	42	70	112	0	0	16	13	12	1	472	153	159	141	19	411	148	61	281	23	1	4.35%	24	8	66.67%	0	103	250	41.20%	115	226	50.88%	80	166	48.19%	276	177	270	99	197	97
Total S�ries	33	21	12	0	0	0	0	0	126	100	26	16	11	5	0	0	0	0	0	72	41	31	17	10	7	0	0	0	0	0	54	59	-5	42	126	220	346	0	0	48	38	36	4	1270	473	405	361	31	1164	422	165	722	72	14	19.44%	77	20	74.03%	2	299	654	45.72%	318	637	49.92%	221	447	49.44%	773	505	729	263	524	261

Comets

Afficher ou Masquer des Colonnes

#	Nom du Joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20
1	Zemgus Girgensons	21	13	14	27	13	6	30	21	100	13.00%	9	391	18.67	2	3	5	11	0	2	2	7	1	0	47.62%	1	1.38
2	Charles Hudon	21	8	17	25	13	4	31	17	74	10.81%	9	352	16.79	1	6	7	14	0	0	0	0	1	0	36.36%	0	1.42
3	Michael Carcone	33	9	14	23	-2	14	56	11	77	11.69%	8	481	14.60	2	2	4	12	2	0	2	4	1	0	41.45%	1	0.95
4	Parker Wotherspoon	33	6	14	20	14	16	43	63	56	10.71%	51	703	21.32	0	2	2	2	0	1	1	0	1	1	0.00%	0	0.57
5	Jean-Sebastien Dea	21	9	11	20	10	2	23	17	64	14.06%	6	310	14.77	1	4	5	6	0	0	0	0	2	0	57.29%	0	1.29

Comets

Afficher ou Masquer des Colonnes

#	Nom du Gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR
1	Arvid Soderblom	17	9	6	2	0.895	3.56	1062	2	63	598	358
2	Cal Petersen	9	9	0	0	0.956	1.54	544	0	14	321	182
3	Connor Ingram	7	3	4	0	0.906	3.30	418	0	23	245	138

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