LAAHS - Panthers

Chicoutimi Sagueneens
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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	Taylor Hall	X	X			100.00	69	43	85	94	75	83	72	91	45	99	84	62	55	71	72	83	53	77	0
2	Travis Zajac	X				99.00	71	43	91	77	70	81	89	83	99	77	75	90	47	82	85	79	53	75	0
3	Mats Zuccarello (A)		X	X		100.00	77	43	85	88	61	83	81	85	36	89	76	76	89	68	71	80	53	75	0
4	J.T. Miller	X	X	X		100.00	80	45	87	88	78	69	96	82	75	82	70	63	80	69	72	75	53	73	0
5	Andrew Ladd		X	X		100.00	79	44	82	76	73	67	68	64	36	75	62	69	69	84	88	68	53	67	1
6	Matt Moulson		X	X		100.00	76	74	80	69	74	78	81	70	50	63	66	75	63	76	77	69	53	67	0
7	Kyle Brodziak	X		X		100.00	78	54	86	72	77	61	93	61	88	54	59	85	25	81	84	66	53	66	0
8	Ryan Callahan		X	X		100.00	82	44	91	74	66	59	77	59	34	65	64	78	61	77	83	69	53	66	0
9	Adam Cracknell	X	X	X		100.00	83	83	82	69	83	74	77	67	50	62	66	73	63	60	61	69	53	66	0
10	Devante Smith-Pelly		X	X		100.00	79	56	90	75	79	58	90	59	38	57	58	81	75	68	71	66	53	65	0
11	Garnet Hathaway	X	X	X		100.00	91	60	79	68	77	57	94	57	39	60	66	76	25	61	61	69	48	64	0
12	Aleksi Saarela	X	X			100.00	77	70	94	66	70	81	85	65	80	59	67	66	64	46	46	69	53	63	0
13	Patrik Nemeth				X	100.00	84	56	79	71	81	70	88	60	25	51	47	99	25	61	62	65	53	71	0
14	Greg Pateryn				X	100.00	83	56	85	71	82	72	94	60	25	48	47	87	25	64	65	64	53	70	0
15	Trevor Daley				X	98.00	61	41	91	81	70	76	62	57	25	52	48	86	63	84	87	62	53	69	0
16	Adam McQuaid				X	100.00	89	70	76	72	82	68	62	56	25	48	48	87	25	71	75	62	53	68	0
17	Jamie Oleksiak				X	100.00	89	81	78	75	95	66	80	61	25	52	49	76	25	64	65	62	53	68	0
18	Jonas Siegenthaler				X	100.00	77	45	88	68	82	64	85	57	25	52	47	81	25	49	49	61	55	65	0
Rayé
1	Kyle Clifford		X			100.00	81	94	64	75	80	56	78	64	35	62	68	65	25	73	76	67	39	64	0
2	Jay Bouwmeester				X	94.33	71	43	85	86	78	81	74	57	25	54	48	86	25	91	93	64	45	72	0

	MOYENNE D'ÉQUIPE					99.55	79	57	84	76	77	70	81	66	44	63	61	78	48	70	72	68	52	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	Carter Hutton	100.00	73	71	70	76	71	74	58	73	78	73	70	62	63	71	53	69	0
2	Marcus Hogberg	100.00	65	67	84	87	64	67	64	71	66	66	30	44	44	66	38	65	0
Rayé
1	Pekka Rinne	100.00	86	87	85	89	88	85	73	86	86	86	84	75	78	84	54	82	2

	MOYENNE D'ÉQUIPE	100.00	75	75	80	84	74	75	65	77	77	75	61	60	62	74	48	72

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Craig Berube	66	91	78	88	70	61	76	CAN	49	3	800,000$

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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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	PSG	PSS	S1	S2	S3
1	Travis Zajac	Panthers	C	14	8	9	17	-1	0	23	25	45	12	17	17.78%	3	294	21.03	4	3	7	4	28	0	0	0	2	10	1	0	52.44%	389	6	5	0	1.15	0	1	3	4	1
2	Taylor Hall	Panthers	C/LW	14	5	11	16	-3	14	18	15	61	26	45	8.20%	2	296	21.21	2	5	7	8	29	0	0	0	0	2	1	0	27.87%	61	18	7	0	1.08	0	2	0	0	3
3	Andrew Ladd	Panthers	LW/RW	14	9	3	12	8	12	23	12	32	7	29	28.13%	4	254	18.18	1	1	2	2	24	0	1	1	1	28	3	2	12.50%	8	4	3	1	0.94	1	1	3	0	0
4	Mats Zuccarello	Panthers	LW/RW	14	3	7	10	-3	6	22	17	47	20	29	6.38%	10	283	20.28	2	1	3	5	25	0	0	0	0	1	0	0	38.89%	18	18	5	0	0.70	2	2	0	0	0
5	J.T. Miller	Panthers	C/LW/RW	14	3	6	9	3	2	24	16	49	12	30	6.12%	5	266	19.00	2	2	4	3	29	0	0	0	0	31	1	1	45.37%	205	5	4	0	0.68	0	2	0	0	2
6	Jay Bouwmeester	Panthers	D	13	0	6	6	4	0	11	17	4	6	5	0.00%	13	229	17.66	0	1	1	0	22	0	0	0	0	5	0	0	0.00%	0	2	7	0	0.52	0	0	0	0	0
7	Aleksi Saarela	Panthers	C/LW	14	2	4	6	0	0	6	12	26	7	16	7.69%	3	141	10.12	0	0	0	0	0	1	0	1	2	32	0	0	45.31%	64	11	4	0	0.85	0	0	0	0	0
8	Trevor Daley	Panthers	D	14	0	6	6	1	2	6	13	23	7	4	0.00%	15	347	24.83	0	1	1	1	27	0	0	0	0	40	0	0	0.00%	0	1	11	0	0.35	0	0	0	0	0
9	Greg Pateryn	Panthers	D	14	0	4	4	0	8	21	21	14	6	8	0.00%	22	315	22.56	0	0	0	0	2	0	1	1	2	35	0	0	0.00%	0	0	10	0	0.25	0	0	0	0	0
10	Jamie Oleksiak	Panthers	D	14	1	3	4	1	10	22	17	11	4	6	9.09%	10	245	17.54	0	2	2	0	24	0	0	0	0	8	0	0	0.00%	0	0	6	0	0.33	0	0	0	0	0
11	Kyle Brodziak	Panthers	C/RW	14	1	2	3	-1	6	16	13	14	6	14	7.14%	5	205	14.71	0	2	2	1	21	0	0	0	2	30	0	0	61.11%	72	5	3	0	0.29	0	0	0	0	0
12	Ryan Callahan	Panthers	LW/RW	14	1	1	2	-2	0	6	11	29	5	16	3.45%	5	149	10.69	0	0	0	0	0	0	0	0	0	0	0	1	60.00%	5	12	2	0	0.27	0	0	0	0	1
13	Adam Cracknell	Panthers	C/LW/RW	14	1	1	2	-2	2	10	9	29	6	22	3.45%	4	148	10.58	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	6	2	1	0	0.27	0	0	0	0	0
14	Devante Smith-Pelly	Panthers	LW/RW	14	1	0	1	-2	0	10	12	9	3	8	11.11%	3	116	8.31	0	0	0	0	0	0	0	0	0	2	0	0	40.00%	5	1	2	0	0.17	0	0	0	0	1
15	Garnet Hathaway	Panthers	C/LW/RW	8	1	0	1	-3	0	15	6	14	3	8	7.14%	1	69	8.72	0	0	0	0	0	0	0	0	0	1	0	0	50.00%	8	1	2	0	0.29	0	0	0	0	0
16	Patrik Nemeth	Panthers	D	14	0	1	1	-2	8	24	18	9	6	9	0.00%	18	293	20.99	0	1	1	2	27	0	0	0	0	27	0	0	0.00%	0	2	10	0	0.07	0	0	0	0	0
17	Adam McQuaid	Panthers	D	14	0	0	0	-2	6	20	16	6	1	0	0.00%	16	246	17.60	0	0	0	0	0	0	0	0	0	23	0	0	0.00%	0	2	11	0	0.00	0	0	0	0	0
18	Matt Moulson	Panthers	LW/RW	14	0	0	0	5	10	21	13	15	14	16	0.00%	6	197	14.08	0	0	0	0	3	0	0	0	0	0	0	0	44.44%	9	0	5	0	0.00	0	0	0	0	0
19	Jonas Siegenthaler	Panthers	D	2	0	0	0	0	2	2	2	0	1	0	0.00%	1	22	11.11	0	0	0	0	3	0	0	0	0	0	0	0	0.00%	0	0	1	0	0.00	0	0	0	0	0
20	Kyle Clifford	Panthers	LW	1	0	0	0	0	0	0	0	0	0	0	0.00%	1	2	2.75	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				248	36	64	100	1	88	300	265	437	152	282	8.24%	147	4128	16.65	11	19	30	26	271	1	2	3	9	284	6	4	48.35%	850	90	99	1	0.48	3	8	6	4	8

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	GA	SA	SAR	EG	PS %	PSA	ST	BG	S1	S2
1	Pekka Rinne	Panthers	11	7	3	1	0.935	2.14	672	24	369	168	1	0.800	5	11	2	1	4
2	Carter Hutton	Panthers	2	0	1	1	0.901	3.50	120	7	71	42	0	0.000	0	2	12	0	0
3	Marcus Hogberg	Panthers	1	0	0	1	0.938	1.85	65	2	32	15	0	0.333	3	1	0	0	0
Stats d'équipe Total ou en Moyenne			14	7	4	3	0.930	2.31	857	33	472	225	1	0.625	8	14	14	1	4

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Adam Cracknell	Panthers	C/LW/RW	32	1985-07-15	No	220 Lbs	6 ft4	Yes	No	No	2	Sans Restriction	Pro & Farm	3,000,000$	0$	0$	No	Lien
Adam McQuaid	Panthers	D	31	1986-10-12	No	212 Lbs	6 ft5	No	No	No	1	Sans Restriction	Pro & Farm	3,025,000$	0$	0$	No	Lien
Aleksi Saarela	Panthers	C/LW	21	1997-01-07	No	198 Lbs	5 ft11	No	No	No	1	Contrat d'Entrée	Pro & Farm	753,333$	0$	0$	No	Lien
Andrew Ladd	Panthers	LW/RW	32	1985-12-12	No	192 Lbs	6 ft3	No	No	No	2	Sans Restriction	Pro & Farm	5,500,000$	0$	0$	No	Lien
Carter Hutton	Panthers	G	32	1985-12-18	No	202 Lbs	6 ft1	Yes	No	No	2	Sans Restriction	Pro & Farm	2,750,000$	0$	0$	No	Lien
Devante Smith-Pelly	Panthers	LW/RW	26	1992-06-14	No	223 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	1,000,000$	0$	0$	No	Lien
Garnet Hathaway	Panthers	C/LW/RW	26	1991-11-23	No	208 Lbs	6 ft2	No	No	No	4	Avec Restriction	Pro & Farm	1,500,000$	0$	0$	No	Lien
Greg Pateryn	Panthers	D	28	1990-06-20	No	224 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	2,500,000$	0$	0$	No	Lien
J.T. Miller	Panthers	C/LW/RW	25	1993-03-13	No	218 Lbs	6 ft1	No	No	No	4	Avec Restriction	Pro & Farm	5,250,000$	0$	0$	No	Lien
Jamie Oleksiak	Panthers	D	25	1992-12-21	No	255 Lbs	6 ft7	No	No	No	2	Avec Restriction	Pro & Farm	2,137,500$	0$	0$	No	Lien
Jay Bouwmeester (Sur la Masse Salariale)	Panthers	D	34	1983-09-27	No	206 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	3,500,000$	0$	0$	No	Lien
Jonas Siegenthaler	Panthers	D	21	1997-05-06	No	220 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	714,166$	0$	0$	No	Lien
Kyle Brodziak	Panthers	C/RW	34	1984-05-25	No	209 Lbs	6 ft2	Yes	No	No	1	Sans Restriction	Pro & Farm	1,150,000$	0$	0$	No	Lien
Kyle Clifford	Panthers	LW	27	1991-01-13	No	211 Lbs	6 ft2	Yes	No	No	1	Avec Restriction	Pro & Farm	1,500,000$	0$	0$	No	Lien
Marcus Hogberg	Panthers	G	23	1994-11-24	No	209 Lbs	6 ft5	No	No	No	2	Contrat d'Entrée	Pro & Farm	700,000$	0$	0$	No	Lien
Mats Zuccarello	Panthers	LW/RW	30	1987-08-31	No	179 Lbs	5 ft8	No	No	No	5	Sans Restriction	Pro & Farm	6,000,000$	0$	0$	No	Lien
Matt Moulson	Panthers	LW/RW	34	1983-11-01	No	200 Lbs	6 ft1	Yes	No	No	2	Sans Restriction	Pro & Farm	3,000,000$	0$	0$	No	Lien
Patrik Nemeth (Sur la Masse Salariale)	Panthers	D	26	1992-02-07	No	219 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	3,000,000$	0$	0$	Yes	Lien
Pekka Rinne	Panthers	G	35	1982-11-02	No	217 Lbs	6 ft5	No	No	No	2	Sans Restriction	Pro & Farm	5,000,000$	0$	0$	No	Lien
Ryan Callahan	Panthers	LW/RW	33	1985-03-21	No	187 Lbs	5 ft10	Yes	No	No	2	Sans Restriction	Pro & Farm	3,000,000$	0$	0$	No	Lien
Taylor Hall	Panthers	C/LW	26	1991-11-13	No	205 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	5,900,000$	0$	0$	No	Lien
Travis Zajac	Panthers	C	33	1985-05-13	No	185 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	5,750,000$	0$	0$	No	Lien
Trevor Daley	Panthers	D	34	1983-10-09	No	195 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	3,178,000$	0$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	29.04	208 Lbs	6 ft2	1.91	3,035,130$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
69,807,999$	49,087,500$	12,750,000$	12,750,000$	6,000,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Taylor Hall	Travis Zajac	Mats Zuccarello	42	0	4	1
2	Andrew Ladd	J.T. Miller	Matt Moulson	33	0	4	1
3	Adam Cracknell	Kyle Brodziak	Ryan Callahan	18	1	4	0
4	Garnet Hathaway	Aleksi Saarela	Devante Smith-Pelly	7	1	4	0

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Adam McQuaid	Patrik Nemeth	30	0	4	1
2	Trevor Daley	Greg Pateryn	28	1	4	0
3	Jamie Oleksiak	Jonas Siegenthaler	28	1	4	0
4	Trevor Daley	Greg Pateryn	14	0	5	0

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Taylor Hall	Travis Zajac	J.T. Miller	55	0	0	5
2	Andrew Ladd	Kyle Brodziak	Mats Zuccarello	45	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jonas Siegenthaler	Patrik Nemeth	50	0	1	4
2	Trevor Daley	Jamie Oleksiak	50	0	2	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	J.T. Miller	Kyle Brodziak	50	0	5	0
2	Aleksi Saarela	Andrew Ladd	50	0	5	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Greg Pateryn	Trevor Daley	55	1	4	0
2	Adam McQuaid	Patrik Nemeth	45	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Taylor Hall	60	0	5	0	Jamie Oleksiak	Trevor Daley	60	0	5	0
2	J.T. Miller	40	0	5	0	Greg Pateryn	Patrik Nemeth	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	J.T. Miller	Taylor Hall	60	0	4	1
2	Aleksi Saarela	Mats Zuccarello	40	0	4	1

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Adam McQuaid	Jonas Siegenthaler	60	0	5	0
2	Greg Pateryn	Patrik Nemeth	40	0	5	0

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
J.T. Miller	Travis Zajac	Mats Zuccarello	Patrik Nemeth	Greg Pateryn

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Taylor Hall	Aleksi Saarela	Matt Moulson	Trevor Daley	Patrik Nemeth

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Garnet Hathaway, Devante Smith-Pelly, Taylor Hall	Matt Moulson, Mats Zuccarello	Travis Zajac

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Adam McQuaid, Greg Pateryn, Patrik Nemeth	Adam McQuaid	Jamie Oleksiak, Patrik Nemeth

Tirs de Pénalité
Taylor Hall, J.T. Miller, Mats Zuccarello, Travis Zajac, Andrew Ladd

Gardien
#1 : Marcus Hogberg, #2 : Carter Hutton

Lignes d'Attaque Perso. en Prol.
Taylor Hall, J.T. Miller, Mats Zuccarello, Travis Zajac, Andrew Ladd, Garnet Hathaway, Garnet Hathaway, Ryan Callahan, Adam Cracknell, Matt Moulson, Aleksi Saarela

Lignes de Défense Perso. en Prol.
Patrik Nemeth, Trevor Daley, Greg Pateryn, Jamie Oleksiak, Adam McQuaid

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	Canucks	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	5	9	14	0	0	2	2	1	0	72	17	31	24	0	76	24	8	38	5	3	60.00%	4	1	75.00%	0	156	322	48.45%	162	331	48.94%	93	183	50.82%	44	27	41	16	33	17
2	Flyers	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	5	10	15	0	0	1	3	1	0	69	21	32	16	0	81	19	8	36	4	0	0.00%	4	0	100.00%	1	156	322	48.45%	162	331	48.94%	93	183	50.82%	40	24	46	16	32	15
3	Kings	2	0	1	0	0	1	0	0	4	7	-3	1	0	0	0	0	1	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	4	-2	1	0.250	4	7	11	1	0	0	3	1	0	51	19	15	17	0	54	25	20	37	4	2	50.00%	10	2	80.00%	0	156	322	48.45%	162	331	48.94%	93	183	50.82%	40	21	44	20	37	17
4	Nordiques	2	1	0	0	1	0	0	0	6	4	2	1	0	0	0	1	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	6	11	17	0	0	3	2	0	1	68	21	11	34	2	70	20	6	31	3	3	100.00%	3	1	66.67%	0	156	322	48.45%	162	331	48.94%	93	183	50.82%	45	28	44	17	35	16
5	Penguins	2	1	0	0	0	0	0	1	6	4	2	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	6	10	16	0	0	0	2	4	1	63	15	22	21	8	64	12	22	59	6	1	16.67%	11	2	81.82%	0	156	322	48.45%	162	331	48.94%	93	183	50.82%	42	22	47	19	35	16
6	Sabres	2	0	0	0	0	1	1	0	5	5	0	1	0	0	0	0	0	1	0	2	1	1	1	0	0	0	0	1	0	0	3	4	-1	3	0.750	5	7	12	0	0	0	2	2	2	69	22	26	20	6	62	27	14	54	4	1	25.00%	7	1	85.71%	0	156	322	48.45%	162	331	48.94%	93	183	50.82%	45	25	42	19	37	18
7	Senateurs	2	1	1	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	7	12	19	0	0	0	4	3	0	59	15	19	25	0	66	20	10	49	10	1	10.00%	5	1	80.00%	0	156	322	48.45%	162	331	48.94%	93	183	50.82%	44	25	40	17	35	18
	Total	14	5	4	0	1	2	1	1	38	35	3	7	4	0	0	1	1	1	0	23	12	11	7	1	4	0	0	1	0	1	15	23	-8	17	0.607	38	66	104	1	0	6	18	12	4	451	130	156	157	16	473	147	88	304	36	11	30.56%	44	8	81.82%	1	156	322	48.45%	162	331	48.94%	93	183	50.82%	303	176	307	128	247	121
	_Since Last GM Reset	14	5	4	0	1	2	1	1	38	35	3	7	4	0	0	1	1	1	0	23	12	11	7	1	4	0	0	1	0	1	15	23	-8	17	0.607	38	66	104	1	0	6	18	12	4	451	130	156	157	16	473	147	88	304	36	11	30.56%	44	8	81.82%	1	156	322	48.45%	162	331	48.94%	93	183	50.82%	303	176	307	128	247	121
	_Vs Conference	14	5	4	0	1	2	1	1	38	35	3	7	4	0	0	1	1	1	0	23	12	11	7	1	4	0	0	1	0	1	15	23	-8	17	0.607	38	66	104	1	0	6	18	12	4	451	130	156	157	16	473	147	88	304	36	11	30.56%	44	8	81.82%	1	156	322	48.45%	162	331	48.94%	93	183	50.82%	303	176	307	128	247	121
	_Vs Division	14	5	4	0	1	2	1	1	38	35	3	7	4	0	0	1	1	1	0	23	12	11	7	1	4	0	0	1	0	1	15	23	-8	17	0.607	38	66	104	1	0	6	18	12	4	451	130	156	157	16	473	147	88	304	36	11	30.56%	44	8	81.82%	1	156	322	48.45%	162	331	48.94%	93	183	50.82%	303	176	307	128	247	121

			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
14	17	SOL1	38	66	104	451	473	147	88	304	1	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	5	4	1	2	1	1	38	35

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	4	0	1	1	1	0	23	12

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	1	4	0	1	0	1	15	23

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	3	0	0	1	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
36	11	30.56%	44	8	81.82%	1

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
130	156	157	16	6	18	12	4

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
156	322	48.45%	162	331	48.94%	93	183	50.82%

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
303	176	307	128	247	121

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	Lien
1 - 2019-09-22	2	Nordiques	2	Panthers	3	W	X		Sommaire du Match
2 - 2019-09-23	27	Kings	3	Panthers	2	L	X		Sommaire du Match
3 - 2019-09-24	41	Panthers	3	Sabres	4	L	X		Sommaire du Match
4 - 2019-09-25	52	Panthers	2	Senateurs	3	L			Sommaire du Match
5 - 2019-09-26	66	Panthers	2	Flyers	4	L			Sommaire du Match
6 - 2019-09-27	74	Panthers	3	Nordiques	2	W			Sommaire du Match
8 - 2019-09-29	88	Senateurs	2	Panthers	5	W			Sommaire du Match
9 - 2019-09-30	107	Panthers	2	Kings	4	L			Sommaire du Match
10 - 2019-10-01	117	Flyers	2	Panthers	3	W			Sommaire du Match
12 - 2019-10-03	140	Canucks	1	Panthers	4	W			Sommaire du Match
14 - 2019-10-05	164	Penguins	1	Panthers	4	W			Sommaire du Match
15 - 2019-10-06	178	Panthers	1	Canucks	3	L			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
18 - 2019-10-09	194	Sabres	1	Panthers	2	W	X	X	Sommaire du Match
19 - 2019-10-10	208	Panthers	2	Penguins	3	L	X	X	Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	100	60	35	20	200
Assistance	0	0	0	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	0 - 0.00%	0$	0$	18000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	66,307,999$	50,307,999$	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
0$	0$	0$	0	0

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

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	44,775,855$	44,775,855$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Taylor Hall	AGE:26	PO:83	OV:77
Mats Zuccarello	AGE:30	PO:80	OV:75
J.T. Miller	AGE:25	PO:75	OV:73
Matt Moulson	AGE:34	PO:69	OV:67
Andrew Ladd	AGE:32	PO:68	OV:67
Ryan Callahan	AGE:33	PO:69	OV:66
Adam Cracknell	AGE:32	PO:69	OV:66
Devante Smith-Pelly	AGE:26	PO:66	OV:65
Garnet Hathaway	AGE:26	PO:69	OV:64
Kyle Clifford	AGE:27	PO:67	OV:64
Aleksi Saarela	AGE:21	PO:69	OV:63
Jacob de La Rose	AGE:23	PO:66	OV:63
Scott Wilson	AGE:26	PO:66	OV:62
Miikka Salomaki	AGE:25	PO:65	OV:61
Spencer Foo	AGE:24	PO:64	OV:60
Rocco Grimaldi	AGE:25	PO:62	OV:59
Laurent Dauphin	AGE:23	PO:62	OV:59
Corey Tropp	AGE:28	PO:61	OV:58
Josh Jooris	AGE:27	PO:57	OV:58
*Dylan Sikura	AGE:23	PO:61	OV:57
Braden Christoffer	AGE:23	PO:55	OV:54
Samuel Laberge	AGE:21	PO:52	OV:53
*Bokondji Imama	AGE:21	PO:51	OV:51

Taylor Hall	AGE:26	PO:83	OV:77
Travis Zajac	AGE:33	PO:79	OV:75
J.T. Miller	AGE:25	PO:75	OV:73
Adam Cracknell	AGE:32	PO:69	OV:66
Kyle Brodziak	AGE:34	PO:66	OV:66
Garnet Hathaway	AGE:26	PO:69	OV:64
Aleksi Saarela	AGE:21	PO:69	OV:63
Jacob de La Rose	AGE:23	PO:66	OV:63
Scott Wilson	AGE:26	PO:66	OV:62
*Dylan Gambrell	AGE:21	PO:67	OV:61
Miikka Salomaki	AGE:25	PO:65	OV:61
Rocco Grimaldi	AGE:25	PO:62	OV:59
Mike Vecchione	AGE:25	PO:62	OV:59
Laurent Dauphin	AGE:23	PO:62	OV:59
Josh Jooris	AGE:27	PO:57	OV:58
*Dylan Sikura	AGE:23	PO:61	OV:57
Clark Bishop	AGE:22	PO:61	OV:57
*Maxim Letunov	AGE:22	PO:61	OV:57
*Nolan Stevens	AGE:21	PO:59	OV:55
*Jonathan Ang	AGE:20	PO:56	OV:55
*Pascal Laberge	AGE:20	PO:60	OV:54
Braden Christoffer	AGE:23	PO:55	OV:54

Mats Zuccarello	AGE:30	PO:80	OV:75
J.T. Miller	AGE:25	PO:75	OV:73
Matt Moulson	AGE:34	PO:69	OV:67
Andrew Ladd	AGE:32	PO:68	OV:67
Ryan Callahan	AGE:33	PO:69	OV:66
Adam Cracknell	AGE:32	PO:69	OV:66
Kyle Brodziak	AGE:34	PO:66	OV:66
Devante Smith-Pelly	AGE:26	PO:66	OV:65
Garnet Hathaway	AGE:26	PO:69	OV:64
Scott Wilson	AGE:26	PO:66	OV:62
Miikka Salomaki	AGE:25	PO:65	OV:61
Spencer Foo	AGE:24	PO:64	OV:60
Rocco Grimaldi	AGE:25	PO:62	OV:59
Mike Vecchione	AGE:25	PO:62	OV:59
Laurent Dauphin	AGE:23	PO:62	OV:59
Corey Tropp	AGE:28	PO:61	OV:58
Josh Jooris	AGE:27	PO:57	OV:58
*Dylan Sikura	AGE:23	PO:61	OV:57

Défense #1

Défense #2

Gardien

Jay Bouwmeester	AGE:34	PO:64	OV:72
Patrik Nemeth	AGE:26	PO:65	OV:71
Greg Pateryn	AGE:28	PO:64	OV:70
Trevor Daley	AGE:34	PO:62	OV:69
Adam McQuaid	AGE:31	PO:62	OV:68
Jamie Oleksiak	AGE:25	PO:62	OV:68
Jonas Siegenthaler	AGE:21	PO:61	OV:65
Nathan Beaulieu	AGE:25	PO:61	OV:65

Alex Lintuniemi	AGE:22	PO:57	OV:63
Jakub Zboril	AGE:21	PO:55	OV:59
Ludwig Bystrom	AGE:23	PO:55	OV:58
*Jacob Nilsson	AGE:16	PO:59	OV:56
Zach Frye	AGE:24	PO:56	OV:56
Jeff Taylor	AGE:24	PO:51	OV:54
*Jonathan Racine	AGE:25	PO:48	OV:51

Pekka Rinne	AGE:35	PO:84	OV:82
Carter Hutton	AGE:32	PO:71	OV:69
Marcus Hogberg	AGE:23	PO:66	OV:65
Anthony Stolarz	AGE:24	PO:60	OV:59
Ville Husso	AGE:23	PO:50	OV:53

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
Adam Werner	Panthers	2016	147
Andrew Peeke	Panthers	2016	45
Antoine Morand	Panthers	2017	55
Ben Storm	Panthers	2013	154
Casey Staum	Panthers	2016	158
Christopher Clapperton	Panthers	2013	124
Christopher Paquette	Panthers	2016	163
Gabriel Fortier	Panthers	2018	58
Gianni Fairbrother	Panthers	2019	82
Hugh McGing	Panthers	2018	148
Jacob Leguerrier	Panthers	2019	142
Jean Dupuy	Panthers
Joachim Blichfeld	Panthers	2016	141
Jonathan Gruden	Panthers	2018	92
Josh Norris	Panthers	2017	25
MATT SCHMALZ	Panthers	2015	138
Matthew Berkovitz	Panthers	2014	156
NIKITA PAVLYCHEV	Panthers	2015	168
Nathan Smith	Panthers	2018	86
Patrik Virta	Panthers	2017	140
Pavel Shen	Panthers	2018	208
Reilly Walsh	Panthers	2017	79
Saku Salminen	Panthers	2013	184
Samuel Poulin	Panthers	2019	22
Santeri Airola	Panthers	2019	202
Will Francis	Panthers	2019	172

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
2020	FLA	FLA	FLA	FLA COL	FLA	FLA	FLA	FLA
2021	FLA	FLA	FLA	FLA	FLA	FLA	FLA	FLA
2022	FLA	FLA	FLA	FLA	FLA	FLA	FLA	FLA
2023	FLA	FLA	FLA	FLA	FLA	FLA	FLA	FLA
2024	FLA	FLA	FLA	FLA	FLA	FLA	FLA	FLA

[2019-09-30 18:14:26] - TRADE : From Stars to Panthers : Y:2020-RND:4-COL.
[2019-09-30 18:14:26] - TRADE : From Panthers to Stars : Gabriel Bourque (63).
[2019-09-26 16:06:26] - TRADE : From Panthers to Devils : Roope Hintz (65).
[2019-09-26 16:06:26] - TRADE : From Devils to Panthers : Joachim Blichfeld (P), Reilly Walsh (P).
[2019-09-22 12:06:18] - Chris Summers was released.
[2019-09-10 15:28:16] - Kyle Clifford signed with Panthers for 1 500 000 $ for 1 year(s) / Option : No Trade.
[2019-09-10 15:28:16] - Kyle Clifford was added to Panthers.
[2019-09-08 15:43:59] - Ryan Callahan signed with Panthers for 3 000 000 $ for 2 year(s) / Option : No Trade.
[2019-09-08 15:43:59] - Ryan Callahan was added to Panthers.
[2019-09-08 15:43:45] - Matt Moulson signed with Panthers for 3 000 000 $ for 2 year(s) / Option : No Trade.
[2019-09-08 15:43:45] - Matt Moulson was added to Panthers.
[2019-09-08 15:38:50] - Adam Cracknell signed with Panthers for 3 000 000 $ for 2 year(s) / Option : No Trade.
[2019-09-08 15:38:50] - Adam Cracknell was added to Panthers.
[2019-09-05 20:21:14] - Corey Tropp signed with Panthers for 700 000 $ for 1 year(s).
[2019-09-05 20:21:14] - Corey Tropp was added to Panthers.
[2019-09-05 20:20:57] - Josh Jooris signed with Panthers for 700 000 $ for 1 year(s) / Option : No Trade.
[2019-09-05 20:20:57] - Josh Jooris was added to Panthers.
[2019-09-05 20:15:29] - Devante Smith-Pelly signed with Panthers for 1 000 000 $ for 1 year(s).
[2019-09-05 20:15:29] - Devante Smith-Pelly was added to Panthers.
[2019-09-05 20:00:21] - Gabriel Bourque signed with Panthers for 700 000 $ for 1 year(s).
[2019-09-05 20:00:21] - Gabriel Bourque was added to Panthers.
[2019-09-05 19:57:00] - Panthers hired Craig Berube for 800 000 $ for 3 year(s).
[2019-08-25 00:09:56] - Panthers drafts Santeri Airola as the #202 overall pick in the Entry Draft of year 2019.
[2019-08-07 12:00:41] - Panthers drafts Will Francis as the #172 overall pick in the Entry Draft of year 2019.
[2019-08-07 11:54:10] - Chicoutimi Sagueneens hired Alain Nasreddine for 66 000 $ for 2 year(s).
[2019-08-07 11:51:54] - Rocco Grimaldi signed with Panthers for 1 000 000 $ for 1 year(s).
[2019-08-07 11:51:54] - Rocco Grimaldi was added to Panthers.
[2019-07-28 10:00:37] - Panthers drafts Jacob Leguerrier as the #142 overall pick in the Entry Draft of year 2019.
[2019-07-15 09:59:31] - Panthers drafts Gianni Fairbrother as the #82 overall pick in the Entry Draft of year 2019.
[2019-07-09 20:15:07] - Jonathan Racine was added to Panthers.
[2019-07-07 21:08:29] - Anthony Stolarz was added to Panthers.
[2019-07-06 21:25:20] - TRADE : From Panthers to Devils : Y:2019-RND:5-TOR, Y:2019-RND:6-DAL.
[2019-07-06 21:25:20] - TRADE : From Devils to Panthers : Trevor Daley (69).
[2019-07-06 21:06:19] - Panthers drafts Samuel Poulin as the #22 overall pick in the Entry Draft of year 2019.
[2019-07-05 16:46:27] - TRADE : From Stars to Panthers : Jacob Nilsson (56), Y:2019-RND:6-DAL.
[2019-07-05 16:46:27] - TRADE : From Panthers to Stars : Martin Ouellette (64).
[2019-06-29 19:30:18] - TRADE : From Maple Leafs to Panthers : Y:2019-RND:5-TOR.
[2019-06-29 19:30:18] - TRADE : From Panthers to Maple Leafs : Dmitry Kulikov (67).
[2019-06-29 19:28:39] - TRADE : From Jets to Panthers : Patrik Virta (P).
[2019-06-29 19:28:39] - TRADE : From Panthers to Jets : Martin Hanzal (58).
[2019-06-26 20:20:03] - Tomas Plekanec has been deleted from Panthers.
[2019-06-26 20:19:45] - Mark Streit has been deleted from Panthers.
[2019-06-26 20:19:27] - Joel Ward has been deleted from Panthers.
[2019-06-26 20:19:04] - Iiro Pakarinen has been deleted from Panthers.
[2019-06-26 20:18:51] - Brian Gionta has been deleted from Panthers.
[2019-06-26 20:18:28] - Ales Hemsky has been deleted from Panthers.

[2019-10-04 13:29:38] Spencer Foo from Chicoutimi Sagueneens has scored a Hat Trick!
[2019-10-04 13:28:05] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-10-04 13:28:05] Jonas Siegenthaler of Panthers was sent to pro.
[2019-10-03 19:06:14] Game 194 - Jay Bouwmeester from Panthers is injured (Sore Left Knee) and is out for 1 week.
[2019-10-03 19:04:56] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-10-02 19:24:24] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-10-01 18:23:58] Andrew Ladd from Panthers has scored a Hat Trick!
[2019-10-01 18:21:31] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-09-30 18:15:49] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-09-30 18:14:26] TRADE : From Stars to Panthers : Y:2020-RND:4-COL.
[2019-09-30 18:14:26] TRADE : From Panthers to Stars : Gabriel Bourque (63).
[2019-09-27 13:20:40] Miikka Salomaki from Chicoutimi Sagueneens has scored a Hat Trick!
[2019-09-27 13:20:03] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-09-26 16:12:27] Jonas Siegenthaler of Panthers was sent to farm.
[2019-09-26 16:11:24] Auto Lines Function has been run for Panthers.
[2019-09-26 16:11:24] Auto Roster Partial Function has been run for Panthers.
[2019-09-26 16:11:24] Jonas Siegenthaler of Panthers was sent to pro.
[2019-09-26 16:09:39] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6

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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