OTHL - Panthers

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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	Tyler Seguin (C)	X		X		100.00	73	43	92	90	74	85	99	83	95	88	88	66	87	74	77	84	50	78	0
2	Carl Soderberg	X				100.00	77	44	89	81	79	76	97	73	85	76	79	88	45	71	72	80	50	74	0
3	Tyler Bozak	X				99.00	69	43	90	75	72	74	94	77	92	77	71	72	74	74	75	74	50	71	0
4	Josh Bailey (A)		X	X		100.00	59	51	91	82	74	75	96	78	62	84	72	58	63	78	80	73	50	71	0
5	Darren Helm		X	X		100.00	76	49	86	86	71	69	82	60	41	66	65	83	63	75	80	69	50	69	0
6	Marcus Johansson		X	X		100.00	65	42	95	82	75	73	62	78	37	74	73	63	25	73	76	73	50	68	0
7	Jake Debrusk		X	X		100.00	69	42	91	80	68	73	86	80	33	67	88	54	45	58	59	77	50	68	0
8	Lawson Crouse		X			100.00	99	70	77	79	84	65	91	58	39	63	66	77	25	60	60	71	50	67	0
9	Paul Carey	X	X			100.00	77	74	84	80	74	77	80	69	80	66	68	68	65	47	48	70	50	66	0
10	Curtis Lazar	X	X	X		100.00	76	74	81	72	74	74	77	65	80	59	64	70	61	64	65	67	50	64	0
11	Michael McCarron	X		X		100.00	80	88	61	72	88	63	64	63	79	62	58	68	55	49	49	64	50	62	0
12	Cooper Marody (R)	X		X		100.00	69	64	82	66	64	69	69	70	80	73	64	63	61	44	44	67	50	62	0
13	Brent Burns (A)				X	100.00	76	45	87	88	87	93	99	89	25	89	61	73	66	87	91	76	50	78	0
14	Damon Severson				X	100.00	75	44	80	89	76	85	96	79	25	67	54	82	41	67	68	70	50	74	0
15	Brian Dumoulin				X	100.00	84	45	91	77	78	82	95	63	25	61	48	86	25	66	69	67	50	72	0
16	Justin Schultz				X	100.00	73	43	95	85	72	81	64	73	25	72	49	65	25	68	70	65	50	67	0
17	Michael Stone				X	100.00	84	46	80	76	79	69	67	60	25	60	47	78	25	67	68	63	50	67	0
18	Xavier Ouellet				X	100.00	82	77	80	74	71	72	71	60	25	53	47	72	25	57	58	61	50	64	0
Rayé
1	Nathan Beaulieu				X	100.00	78	86	77	77	77	67	71	62	25	55	48	68	25	65	66	61	50	65	0

	MOYENNE D'ÉQUIPE					99.95	76	56	85	80	76	75	82	71	51	69	64	71	47	65	67	70	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
1	Anton Khudobin	99.00	85	66	65	70	90	79	68	85	89	85	95	62	62	81	50	76	0
2	David Rittich	100.00	79	69	66	81	83	75	66	76	81	79	57	52	52	75	50	72	0
Rayé
1	Collin Delia	100.00	70	70	66	75	76	64	45	67	78	70	45	45	45	67	50	64	0

	MOYENNE D'ÉQUIPE	99.67	78	68	66	75	83	73	60	76	83	78	66	53	53	74	50	71

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Tortorella	69	84	82	97	99	89	87	USA	60	2	3,750,000$

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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	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKM	GW	GT	FO%	FOT	P/20	PSG	PSS	FT	S1	S2	S3
1	Tyler Bozak	Panthers	C	7	4	3	7	3	0	0	6	10	14	5	13	28.57%	1	124	17.80	1	0	1	2	20	20	0	0	54.71%	170	1.12	0	1	0	2	0	0
2	Michael Stone	Panthers	D	7	2	4	6	5	2	0	13	6	5	0	1	40.00%	19	124	17.79	0	1	1	0	1	17	0	0	0.00%	0	0.96	0	0	0	0	1	1
3	Marcus Johansson	Panthers	LW/RW	7	1	4	5	2	0	0	2	3	9	4	11	11.11%	0	103	14.75	1	0	1	3	19	0	0	0	27.27%	11	0.97	0	0	0	0	0	0
4	Brent Burns	Panthers	D	7	0	5	5	0	6	0	12	12	6	5	7	0.00%	9	167	23.93	0	2	2	5	26	21	0	0	0.00%	0	0.60	0	0	0	0	1	0
5	Josh Bailey	Panthers	LW/RW	7	1	4	5	-1	0	0	2	7	20	7	10	5.00%	0	127	18.26	0	3	3	3	26	0	0	0	45.45%	11	0.78	0	1	0	0	0	0
6	Carl Soderberg	Panthers	C	7	3	2	5	2	2	0	10	12	22	3	12	13.64%	2	122	17.47	0	0	0	3	18	14	1	0	46.62%	148	0.82	0	1	0	0	1	2
7	Damon Severson	Panthers	D	7	1	3	4	0	2	0	10	6	11	4	10	9.09%	21	161	23.05	1	1	2	7	21	22	0	0	0.00%	0	0.50	0	0	0	0	0	1
8	Tyler Seguin	Panthers	C/RW	7	2	2	4	-1	0	0	4	19	26	4	18	7.69%	0	132	18.90	1	0	1	7	26	3	0	0	53.85%	143	0.60	1	1	0	0	0	0
9	Justin Schultz	Panthers	D	7	1	3	4	0	2	0	5	2	3	5	3	33.33%	4	140	20.07	1	1	2	2	25	3	1	0	0.00%	0	0.57	0	0	0	0	0	0
10	Brian Dumoulin	Panthers	D	7	0	4	4	0	0	0	14	7	10	9	11	0.00%	16	150	21.51	0	0	0	4	19	18	0	0	0.00%	0	0.53	0	0	0	0	0	0
11	Darren Helm	Panthers	LW/RW	7	2	1	3	2	2	0	8	2	11	4	6	18.18%	4	93	13.40	0	1	1	1	1	6	2	0	12.50%	8	0.64	0	1	0	0	0	0
12	Michael McCarron	Panthers	C/RW	5	2	1	3	1	8	0	8	3	2	1	5	100.00%	1	48	9.63	0	0	0	0	0	0	1	0	50.00%	4	1.25	0	0	0	1	0	0
13	Jake Debrusk	Panthers	LW/RW	7	2	1	3	3	0	0	2	5	19	7	23	10.53%	0	97	13.93	0	0	0	3	18	0	0	1	50.00%	10	0.62	0	0	0	0	1	0
14	Cooper Marody	Panthers	C/RW	7	0	2	2	1	2	0	6	12	8	2	6	0.00%	0	73	10.50	0	0	0	0	7	0	0	0	43.33%	60	0.54	0	0	0	0	0	0
15	Lawson Crouse	Panthers	LW	7	0	1	1	-1	8	0	24	4	5	2	5	0.00%	0	100	14.31	0	0	0	0	0	0	0	0	50.00%	8	0.20	0	0	0	0	0	0
16	Paul Carey	Panthers	C/LW	7	0	1	1	1	2	0	5	10	7	1	16	0.00%	1	80	11.49	0	0	0	0	0	14	0	0	53.33%	30	0.25	0	0	0	0	0	0
17	Xavier Ouellet	Panthers	D	7	1	0	1	5	11	5	9	2	5	1	5	20.00%	5	105	15.05	0	0	0	0	0	0	0	0	0.00%	0	0.19	0	0	1	0	1	0
18	Curtis Lazar	Panthers	C/LW/RW	7	0	0	0	3	9	5	9	7	6	1	6	0.00%	1	98	14.06	0	0	0	0	0	18	0	0	33.33%	3	0.00	0	0	1	0	0	0
19	Sonny Milano	Thunderbirds (FLA)	LW/RW	2	0	0	0	0	2	0	2	2	1	2	1	0.00%	0	23	11.87	0	0	0	0	0	4	0	0	0.00%	0	0.00	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				126	22	41	63	25	58	10	151	131	190	67	169	11.58%	84	2075	16.47	5	9	14	40	234	167	5	1	49.83%	606	0.61	1	5	2	3	5	4

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	A	PS %	PSA	ST	BG	S1	S3
1	Anton Khudobin	Panthers	6	4	1	1	0.916	2.63	365	2	16	191	1	0.600	5	6	1	1	1
2	David Rittich	Panthers	1	1	0	0	0.962	1.00	60	0	1	26	0	0.000	0	1	6	0	0
Stats d'équipe Total ou en Moyenne			7	5	1	1	0.922	2.40	425	2	17	217	1	0.600	5	7	7	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 Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Anton Khudobin	Panthers	G	33	1986-05-07	No	200 Lbs	5 ft11	Yes	No	No	2	Sans Restriction	Pro & Farm	3,000,000$	3,000,000$	2,725,806$	No	Lien
Brent Burns	Panthers	D	34	1985-03-09	No	230 Lbs	6 ft5	No	No	No	4	Sans Restriction	Pro & Farm	9,000,000$	9,000,000$	8,177,419$	No	Lien
Brian Dumoulin	Panthers	D	28	1991-09-06	No	207 Lbs	6 ft4	No	No	No	3	Avec Restriction	Pro & Farm	4,200,000$	4,200,000$	3,816,129$	No	Lien
Carl Soderberg	Panthers	C	34	1985-10-12	No	210 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	4,900,000$	4,900,000$	4,452,151$	No	Lien
Collin Delia	Panthers	G	25	1994-06-19	No	190 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	950,000$	950,000$	863,172$	No	Lien
Cooper Marody	Panthers	C/RW	22	1996-12-20	Yes	173 Lbs	6 ft0	No	No	No	3	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$	908,602$	No	Lien
Curtis Lazar	Panthers	C/LW/RW	24	1995-02-02	No	209 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	1,200,000$	1,200,000$	1,090,323$	No	Lien
Damon Severson	Panthers	D	25	1994-08-07	No	205 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	4,200,000$	4,200,000$	3,816,129$	No	Lien
Darren Helm	Panthers	LW/RW	32	1987-01-21	No	196 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	2,900,000$	2,900,000$	2,634,946$	No	Lien
David Rittich	Panthers	G	27	1992-08-18	No	202 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$	908,602$	No	Lien
Jake Debrusk	Panthers	LW/RW	23	1996-10-16	No	188 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	1,288,333$	1,288,333$	1,170,582$	No	Lien
Josh Bailey	Panthers	LW/RW	30	1989-10-02	No	203 Lbs	6 ft1	Yes	No	No	5	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$	5,451,613$	No	Lien
Justin Schultz	Panthers	D	29	1990-07-06	No	193 Lbs	6 ft2	Yes	No	No	3	Sans Restriction	Pro & Farm	4,800,000$	4,800,000$	4,361,290$	No	Lien
Lawson Crouse	Panthers	LW	22	1997-06-23	No	220 Lbs	6 ft4	No	No	No	1	Avec Restriction	Pro & Farm	1,602,500$	1,602,500$	1,456,035$	No	Lien
Marcus Johansson	Panthers	LW/RW	29	1990-10-06	No	205 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	4,543,011$	No	Lien
Michael McCarron	Panthers	C/RW	24	1995-03-06	No	231 Lbs	6 ft6	No	No	No	2	Avec Restriction	Pro & Farm	1,076,000$	1,076,000$	977,656$	No	Lien
Michael Stone	Panthers	D	29	1990-06-06	No	210 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	3,180,108$	No	Lien
Nathan Beaulieu	Panthers	D	26	1992-12-04	No	200 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	2,250,000$	2,250,000$	2,044,355$	No	Lien
Paul Carey	Panthers	C/LW	31	1988-09-24	No	200 Lbs	6 ft1	Yes	No	No	2	Sans Restriction	Pro & Farm	1,200,000$	1,200,000$	1,090,323$	No	Lien
Tyler Bozak	Panthers	C	33	1986-03-19	No	199 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$	5,451,613$	No	Lien
Tyler Seguin	Panthers	C/RW	27	1992-01-30	No	201 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	7,500,000$	7,500,000$	6,814,516$	No	Lien
Xavier Ouellet	Panthers	D	26	1993-07-28	No	185 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	1,400,000$	1,400,000$	1,272,043$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	27.86	203 Lbs	6 ft2	2.18	3,362,129$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
73,966,833$	51,364,333$	37,450,000$	15,000,000$	6,000,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Lawson Crouse	Tyler Seguin	Josh Bailey	25	1	1	3
2	Marcus Johansson	Carl Soderberg	Darren Helm	25	1	1	3
3	Jake Debrusk	Tyler Bozak	Curtis Lazar	25	1	1	3
4	Paul Carey	Cooper Marody	Michael McCarron	25	1	1	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brent Burns	Damon Severson	30	1	4	0
2	Brian Dumoulin	Justin Schultz	30	1	4	0
3	Michael Stone	Xavier Ouellet	30	1	4	0
4	Brent Burns	Damon Severson	10	1	4	0

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Josh Bailey	Tyler Bozak	Tyler Seguin	60	1	0	4
2	Jake Debrusk	Cooper Marody	Marcus Johansson	40	1	0	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brent Burns	Justin Schultz	60	1	0	4
2	Damon Severson	Brian Dumoulin	40	1	0	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Carl Soderberg	Darren Helm	50	1	4	0
2	Tyler Bozak	Curtis Lazar	50	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brian Dumoulin	Michael Stone	50	1	4	0
2	Brent Burns	Damon Severson	50	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Carl Soderberg	50	1	4	0	Brian Dumoulin	Michael Stone	50	1	4	0
2	Darren Helm	50	1	4	0	Brent Burns	Damon Severson	50	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Tyler Bozak	Tyler Seguin	50	1	1	3
2	Carl Soderberg	Josh Bailey	50	1	1	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brent Burns	Justin Schultz	50	1	1	3
2	Brian Dumoulin	Damon Severson	50	1	1	3

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Josh Bailey	Tyler Bozak	Tyler Seguin	Brent Burns	Justin Schultz

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Lawson Crouse	Carl Soderberg	Darren Helm	Brent Burns	Brian Dumoulin

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Carl Soderberg, Josh Bailey, Tyler Seguin	Carl Soderberg, Josh Bailey	Tyler Seguin

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Damon Severson, Brent Burns, Brian Dumoulin	Damon Severson	Damon Severson, Brent Burns

Tirs de Pénalité
Carl Soderberg, Josh Bailey, Tyler Seguin, Tyler Bozak, Darren Helm

Gardien
#1 : Anton Khudobin, #2 : David Rittich

Lignes d'Attaque Perso. en Prol.
Tyler Seguin, Carl Soderberg, Josh Bailey, Tyler Bozak, Darren Helm, Paul Carey, Paul Carey, Jake Debrusk, Marcus Johansson, Lawson Crouse,

Lignes de Défense Perso. en Prol.
Damon Severson, Brian Dumoulin, Brent Burns, Michael Stone, Justin Schultz

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	Avalanche	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	3	5	0	0	1	1	0	0	23	7	8	8	0	30	15	12	13	2	0	0.00%	6	0	100.00%	0	110	245	44.90%	128	245	52.24%	64	116	55.17%	21	13	26	8	12	5
2	Devils	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	0	1	1	0	31	9	13	9	0	33	13	6	17	7	0	0.00%	2	1	50.00%	0	110	245	44.90%	128	245	52.24%	64	116	55.17%	24	16	22	7	13	6
3	Hurricanes	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	2	1	1	0	28	11	7	10	0	26	12	6	20	6	0	0.00%	3	1	66.67%	0	110	245	44.90%	128	245	52.24%	64	116	55.17%	27	18	19	7	13	7
4	Islanders	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	4	6	0	0	1	1	0	1	18	11	5	1	6	25	13	13	28	3	1	33.33%	4	0	100.00%	0	110	245	44.90%	128	245	52.24%	64	116	55.17%	22	14	29	8	13	6
5	Lightning	2	2	0	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	6	5	1	4	1.000	9	17	26	0	0	3	3	3	0	63	21	12	30	0	70	21	14	53	8	3	37.50%	7	3	57.14%	0	110	245	44.90%	128	245	52.24%	64	116	55.17%	50	35	44	14	24	13
6	Sabres	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	2	0	1	0	27	13	3	11	0	33	10	9	20	1	1	100.00%	2	0	100.00%	0	110	245	44.90%	128	245	52.24%	64	116	55.17%	20	13	26	7	12	5
	Total	7	5	1	0	0	0	0	1	22	18	4	3	3	0	0	0	0	0	0	9	4	5	4	2	1	0	0	0	0	1	13	14	-1	11	0.786	22	41	63	0	0	9	7	6	1	190	72	48	69	6	217	84	60	151	27	5	18.52%	24	5	79.17%	0	110	245	44.90%	128	245	52.24%	64	116	55.17%	167	112	168	53	89	45
	_Since Last GM Reset	7	5	1	0	0	0	0	1	22	18	4	3	3	0	0	0	0	0	0	9	4	5	4	2	1	0	0	0	0	1	13	14	-1	11	0.786	22	41	63	0	0	9	7	6	1	190	72	48	69	6	217	84	60	151	27	5	18.52%	24	5	79.17%	0	110	245	44.90%	128	245	52.24%	64	116	55.17%	167	112	168	53	89	45
	_Vs Conference	6	4	1	0	0	0	0	1	20	17	3	2	2	0	0	0	0	0	0	7	3	4	4	2	1	0	0	0	0	1	13	14	-1	9	0.750	20	38	58	0	0	8	6	6	1	167	65	40	61	6	187	69	48	138	25	5	20.00%	18	5	72.22%	0	110	245	44.90%	128	245	52.24%	64	116	55.17%	146	98	142	44	76	39
	_Vs Division	3	3	0	0	0	0	0	0	12	9	3	1	1	0	0	0	0	0	0	3	2	1	2	2	0	0	0	0	0	0	9	7	2	6	1.000	12	22	34	0	0	5	3	4	0	90	34	15	41	0	103	31	23	73	9	4	44.44%	9	3	66.67%	0	110	245	44.90%	128	245	52.24%	64	116	55.17%	71	48	71	22	37	19

			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
7	11	W1	22	41	63	190	217	84	60	151	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	5	1	0	0	0	1	22	18

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	3	0	0	0	0	0	9	4

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	1	0	0	0	1	13	14

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

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
27	5	18.52%	24	5	79.17%	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
72	48	69	6	9	7	6	1

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
110	245	44.90%	128	245	52.24%	64	116	55.17%

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
167	112	168	53	89	45

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	RI	Lien
2 - 2019-10-05	12	Panthers	6	Lightning	5	W				Sommaire du Match
4 - 2019-10-07	24	Lightning	2	Panthers	3	W				Sommaire du Match
7 - 2019-10-10	38	Hurricanes	1	Panthers	4	W				Sommaire du Match
10 - 2019-10-13	58	Panthers	3	Sabres	2	W				Sommaire du Match
11 - 2019-10-14	70	Panthers	2	Islanders	3	L	X	X	R3	Sommaire du Match
13 - 2019-10-16	81	Panthers	2	Devils	4	L				Sommaire du Match
17 - 2019-10-20	110	Avalanche	1	Panthers	2	W				Sommaire du Match
18 - 2019-10-21	117	Panthers	-	Predators	-
21 - 2019-10-24	138	Penguins	-	Panthers	-
23 - 2019-10-26	146	Panthers	-	Flames	-
26 - 2019-10-29	172	Panthers	-	Oilers	-
27 - 2019-10-30	178	Panthers	-	Canucks	-
29 - 2019-11-01	190	Panthers	-	Avalanche	-
32 - 2019-11-04	210	Red Wings	-	Panthers	-
37 - 2019-11-09	242	Capitals	-	Panthers	-
39 - 2019-11-11	256	Panthers	-	Islanders	-
40 - 2019-11-12	267	Panthers	-	Rangers	-
42 - 2019-11-14	273	Panthers	-	Bruins	-
44 - 2019-11-16	289	Jets	-	Panthers	-
46 - 2019-11-18	303	Rangers	-	Panthers	-
49 - 2019-11-21	324	Flyers	-	Panthers	-
51 - 2019-11-23	339	Ducks	-	Panthers	-
53 - 2019-11-25	349	Panthers	-	Hurricanes	-
54 - 2019-11-26	364	Sabres	-	Panthers	-
57 - 2019-11-29	389	Panthers	-	Capitals	-
60 - 2019-12-02	408	Predators	-	Panthers	-
63 - 2019-12-05	426	Wild	-	Panthers	-
67 - 2019-12-09	457	Blue Jackets	-	Panthers	-
68 - 2019-12-10	465	Sharks	-	Panthers	-
70 - 2019-12-12	476	Lightning	-	Panthers	-
72 - 2019-12-14	492	Islanders	-	Panthers	-
74 - 2019-12-16	505	Bruins	-	Panthers	-
76 - 2019-12-18	521	Senators	-	Panthers	-
80 - 2019-12-22	549	Stars	-	Panthers	-
81 - 2019-12-23	554	Panthers	-	Hurricanes	-
83 - 2019-12-25	577	Panthers	-	Lightning	-
88 - 2019-12-30	595	Red Wings	-	Panthers	-
89 - 2019-12-31	607	Canadiens	-	Panthers	-
91 - 2020-01-02	616	Panthers	-	Blue Jackets	-
93 - 2020-01-04	634	Panthers	-	Senators	-
95 - 2020-01-06	643	Panthers	-	Sabres	-
96 - 2020-01-07	657	Panthers	-	Penguins	-
98 - 2020-01-09	667	Coyotes	-	Panthers	-
100 - 2020-01-11	682	Canucks	-	Panthers	-
103 - 2020-01-14	705	Maple Leafs	-	Panthers	-
107 - 2020-01-18	731	Kings	-	Panthers	-
109 - 2020-01-20	745	Panthers	-	Red Wings	-
111 - 2020-01-22	760	Panthers	-	Wild	-
112 - 2020-01-23	763	Panthers	-	Blackhawks	-
123 - 2020-02-03	798	Panthers	-	Canadiens	-
125 - 2020-02-05	811	Panthers	-	Maple Leafs	-
126 - 2020-02-06	815	Panthers	-	Blue Jackets	-
128 - 2020-02-08	831	Golden Knights	-	Panthers	-
130 - 2020-02-10	846	Penguins	-	Panthers	-
132 - 2020-02-12	862	Panthers	-	Flyers	-
133 - 2020-02-13	872	Panthers	-	Devils	-
135 - 2020-02-15	883	Flyers	-	Panthers	-
137 - 2020-02-17	899	Oilers	-	Panthers	-
139 - 2020-02-19	918	Panthers	-	Sharks	-
141 - 2020-02-21	927	Panthers	-	Ducks	-
142 - 2020-02-22	934	Panthers	-	Kings	-
144 - 2020-02-24	958	Panthers	-	Golden Knights	-
147 - 2020-02-27	969	Panthers	-	Coyotes	-
149 - 2020-02-29	986	Maple Leafs	-	Panthers	-
151 - 2020-03-02	1001	Blackhawks	-	Panthers	-
152 - 2020-03-03	1013	Flames	-	Panthers	-
156 - 2020-03-07	1035	Bruins	-	Panthers	-
158 - 2020-03-09	1052	Canadiens	-	Panthers	-
161 - 2020-03-12	1076	Panthers	-	Blues	-
163 - 2020-03-14	1086	Panthers	-	Stars	-
165 - 2020-03-16	1104	Devils	-	Panthers	-
167 - 2020-03-18	1120	Panthers	-	Red Wings	-
168 - 2020-03-19	1131	Panthers	-	Jets	-
170 - 2020-03-21	1140	Sabres	-	Panthers	-
172 - 2020-03-23	1157	Blues	-	Panthers	-
174 - 2020-03-25	1174	Panthers	-	Maple Leafs	-
175 - 2020-03-26	1181	Panthers	-	Senators	-
177 - 2020-03-28	1195	Panthers	-	Canadiens	-
179 - 2020-03-30	1206	Panthers	-	Bruins	-
181 - 2020-04-01	1227	Rangers	-	Panthers	-
184 - 2020-04-04	1246	Senators	-	Panthers	-
186 - 2020-04-06	1263	Capitals	-	Panthers	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	4000	3000	1000
Prix des Billets	140	115	85	65	300
Assistance	18,000	14,124	11,879	8,808	2,255
Attendance PCT	100.00%	94.16%	98.99%	97.87%	75.17%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
38	18355 - 96.61%	2,134,332$	6,402,995$	19000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
7,109,192$	73,966,833$	73,966,833$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
397,671$	6,766,449$	0$	22	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
81,104,603$	169	417,832$	70,613,608$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
72,540,884$	73,972,848$	52,276,569$	63,356,838$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Josh Bailey	AGE:30	PO:73	OV:71
Darren Helm	AGE:32	PO:69	OV:69
Jake Debrusk	AGE:23	PO:77	OV:68
Marcus Johansson	AGE:29	PO:73	OV:68
Lawson Crouse	AGE:22	PO:71	OV:67
Paul Carey	AGE:31	PO:70	OV:66
Curtis Lazar	AGE:24	PO:67	OV:64
Sonny Milano	AGE:23	PO:67	OV:63
Garrett Wilson	AGE:28	PO:64	OV:63
C.J. Smith	AGE:24	PO:67	OV:62
*Max Jones	AGE:21	PO:63	OV:61
*Michael Dal Colle	AGE:23	PO:63	OV:59

Tyler Seguin	AGE:27	PO:84	OV:78
Carl Soderberg	AGE:34	PO:80	OV:74
Tyler Bozak	AGE:33	PO:74	OV:71
Paul Carey	AGE:31	PO:70	OV:66
Curtis Lazar	AGE:24	PO:67	OV:64
Filip Chlapik	AGE:22	PO:66	OV:64
Daniel O'Regan	AGE:25	PO:64	OV:63
*Cooper Marody	AGE:22	PO:67	OV:62
Michael McCarron	AGE:24	PO:64	OV:62
Luke Johnson	AGE:25	PO:63	OV:61

Tyler Seguin	AGE:27	PO:84	OV:78
Josh Bailey	AGE:30	PO:73	OV:71
Darren Helm	AGE:32	PO:69	OV:69
Jake Debrusk	AGE:23	PO:77	OV:68
Marcus Johansson	AGE:29	PO:73	OV:68
Curtis Lazar	AGE:24	PO:67	OV:64
Sonny Milano	AGE:23	PO:67	OV:63
Daniel O'Regan	AGE:25	PO:64	OV:63
Garrett Wilson	AGE:28	PO:64	OV:63
*Cooper Marody	AGE:22	PO:67	OV:62
Michael McCarron	AGE:24	PO:64	OV:62
*Michael Dal Colle	AGE:23	PO:63	OV:59

Défense #1

Défense #2

Gardien

Brent Burns	AGE:34	PO:76	OV:78
Damon Severson	AGE:25	PO:70	OV:74
Brian Dumoulin	AGE:28	PO:67	OV:72
Carl Dahlstrom	AGE:24	PO:62	OV:68
Justin Schultz	AGE:29	PO:65	OV:67
Michael Stone	AGE:29	PO:63	OV:67
Derrick Pouliot	AGE:25	PO:62	OV:66

Nathan Beaulieu	AGE:26	PO:61	OV:65
Xavier Ouellet	AGE:26	PO:61	OV:64
Brendan Guhle	AGE:22	PO:57	OV:63
Andy Welinski	AGE:26	PO:59	OV:62
Alexandre Carrier	AGE:23	PO:56	OV:62
Tyler Wotherspoon	AGE:26	PO:55	OV:61

Anton Khudobin	AGE:33	PO:81	OV:76
David Rittich	AGE:27	PO:75	OV:72
Collin Delia	AGE:25	PO:67	OV:64

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total
A.J. Jenks	Panthers
Alexander Delnov	Panthers	2012	93
Alexander Nylander	Panthers	2016	6
Casey Fitzgerald	Panthers	2016	104
Chris Wilkie	Panthers	2015	138
Christopher Clapperton	Panthers	2013	115
Daniel Vladar	Panthers	2015	72
David Pope	Panthers	2013	121
Erik Brannstrom	Panthers	2017	16
Fabian Zetterlund	Panthers	2017	63
Filip Helt	Panthers	2016	204
Garrett Meurs	Panthers	2011	139
Hardy Haman-Aktell	Panthers	2016	144
Ilya Sorokin	Panthers	2014	63
Ivan Lodnia	Panthers	2017	82
Jake Oettinger	Panthers	2017	15
Jakob Stenqvist	Panthers	2016	187
Joren van Pottelberghe	Panthers	2015	105
Josh Anderson	Panthers	2016	84
Karch Bachman	Panthers	2015	169
Martin Necas	Panthers	2017	17
Miguel Fidler	Panthers	2014	156
Mike Williamson	Panthers	2013	205
Parker Wotherspoon	Panthers	2015	93
Sergei Boikov	Panthers	2015	174
Stephen Desrocher	Panthers	2015	123
Vladimir Ruzicka	Panthers
Yakov Trenin	Panthers	2015	56
Ziyat Paygin	Panthers	2015	144

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2021	FLA	FLA	FLA	FLA
2022	FLA	FLA	FLA	FLA	FLA	FLA	FLA
2023	FLA	FLA	FLA	FLA	FLA	FLA
2024	FLA	FLA	FLA	FLA	FLA	FLA	FLA

[2019-10-20 6:48:28 PM] - TRADE : From Panthers to Coyotes : $1,000,000 (Money).
[2019-10-20 6:48:28 PM] - TRADE : From Coyotes to Panthers : Derrick Pouliot (66).
[2019-10-17 6:51:31 PM] - Josh Bailey has been selected as assistant for Panthers.
[2019-10-17 6:51:31 PM] - Carl Soderberg is no longer as assistant for Panthers.
[2019-10-17 6:51:31 PM] - Brent Burns has been selected as assistant for Panthers.
[2019-10-17 6:51:31 PM] - Marcus Johansson is no longer as assistant for Panthers.
[2019-10-16 4:34:21 PM] - Team Name Change : Florida Panthers changed name to Panthers
[2019-10-10 3:58:04 PM] - TRADE : From Florida Panthers to Los Angeles Kings : Y:2021-RND:5-FLA.
[2019-10-10 3:58:04 PM] - TRADE : From Los Angeles Kings to Florida Panthers : Xavier Ouellet (64).
[2019-10-05 2:18:13 PM] - Andreas Martinsen was released.
[2019-09-21 8:35:36 PM] - Justin Schultz signed with Florida Panthers for $4,800,000 for 3 year(s) / Option : No Trade & Signing Bonus of $2,000,000.
[2019-09-21 8:35:36 PM] - Justin Schultz was added to Florida Panthers.
[2019-09-07 8:08:43 PM] - Josh Bailey signed with Florida Panthers for $6,000,000 for 5 year(s) / Option : No Trade & Signing Bonus of $7,500,000.
[2019-09-07 8:08:43 PM] - Josh Bailey was added to Florida Panthers.
[2019-07-28 8:09:59 PM] - Nathan Beaulieu signed with Florida Panthers for $2,250,000 for 3 year(s).
[2019-07-28 8:09:59 PM] - Nathan Beaulieu was added to Florida Panthers.
[2019-07-28 8:05:55 PM] - Ryan Murphy was released by Florida Panthers

[2019-11-07 4:46:53 PM] Max Jones from Thunderbirds has scored a Hat Trick!
[2019-11-07 4:46:25 PM] Successfully loaded Panthers lines done with STHS Client - 3.1.5.5
[2019-11-03 4:15:13 PM] Successfully loaded Panthers lines done with STHS Client - 3.1.5.5
[2019-10-31 4:02:57 PM] Successfully loaded Panthers lines done with STHS Client - 3.1.5.5
[2019-10-28 4:10:39 PM] Successfully loaded Panthers lines done with STHS Client - 3.1.5.5
[2019-10-28 4:10:39 PM] Sonny Milano of Panthers was sent down to farm.
[2019-10-28 4:10:39 PM] Michael McCarron of Panthers was sent to pro.
[2019-10-25 5:07:52 PM] Thunderbirds lines for next game are empty. Current rosters/lines are not erased. But, Panthers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-10-25 4:53:22 PM] Successfully loaded Panthers lines done with STHS Client - 3.1.5.5

Pas de Blessure ou de Suspension.

Afficher ou Masquer des Colonnes

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	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
2019	7	5	1	0	0	0	0	1	22	18	4	3	3	0	0	0	0	0	0	9	4	5	4	2	1	0	0	0	0	1	13	14	-1	11	22	41	63	0	0	9	7	6	1	190	72	48	69	6	217	84	60	151	27	5	18.52%	24	5	79.17%	0	110	245	44.90%	128	245	52.24%	64	116	55.17%	167	112	168	53	89	45
Total Saison Régulière	7	5	1	0	0	0	0	1	22	18	4	3	3	0	0	0	0	0	0	9	4	5	4	2	1	0	0	0	0	1	13	14	-1	11	22	41	63	0	0	9	7	6	1	190	72	48	69	6	217	84	60	151	27	5	18.52%	24	5	79.17%	0	110	245	44.90%	128	245	52.24%	64	116	55.17%	167	112	168	53	89	45