Ligue du Vieux Poele

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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 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	Âge	Contrat	Salaire
1	Nico Hischier	X				98.00	67	42	94	85	65	81	93	93	98	85	87	78	25	69	70	0	46	82	0	25	3	7,250,000$
2	Mark Scheifele	X				96.00	73	68	78	87	78	84	95	87	85	87	85	63	66	78	80	0	45	82	0	31	3	6,125,000$
3	Jonathan Marchessault		X	X		99.00	78	43	85	80	64	77	96	96	33	76	94	63	58	67	71	0	46	80	0	33	1	5,000,000$
4	Kevin Fiala		X	X		100.00	71	42	78	83	68	78	93	90	34	84	85	65	55	71	73	0	46	79	0	28	1	5,100,000$
5	Nick Schmaltz	X		X		100.00	59	40	95	85	65	80	88	88	58	82	79	70	61	69	69	0	46	78	0	28	3	5,850,000$
6	Anthony Duclair			X		100.00	69	42	86	90	70	72	64	76	37	70	84	67	79	74	76	0	46	76	0	29	1	3,000,000$
7	Jean-Gabriel Pageau	X				100.00	89	55	94	88	65	72	93	77	97	72	64	83	25	77	81	0	46	75	0	31	1	5,000,000$
8	Oliver Bjorkstrand		X	X		100.00	71	42	94	80	65	73	99	82	35	82	75	66	36	70	71	0	46	75	0	29	3	5,400,000$
9	Ryan Strome	X		X		100.00	71	75	70	80	74	72	98	82	66	79	66	65	47	77	78	0	46	73	0	31	2	5,000,000$
10	Eeli Tolvanen			X		100.00	91	45	90	78	68	70	88	82	36	75	72	67	25	65	67	0	46	73	0	25	4	1,450,000$
11	Marcus Foligno		X	X		100.00	98	99	71	77	85	67	77	68	36	67	71	83	25	78	80	0	46	72	0	33	1	3,100,000$
12	Nic Dowd	X				100.00	83	55	79	77	71	69	82	65	85	63	71	92	25	70	72	0	46	71	0	34	3	1,600,000$
13	Rasmus Dahlin				X	100.00	89	46	77	85	73	93	97	87	25	71	65	78	75	70	70	0	46	80	0	24	2	6,000,000$
14	Dougie Hamilton				X	100.00	73	45	72	84	86	81	68	75	25	73	65	68	85	79	83	0	46	75	0	31	3	9,000,000$
15	Jaccob Slavin (A)				X	100.00	69	43	96	83	77	81	96	65	25	68	49	91	53	75	78	0	46	75	0	30	1	5,300,000$
16	Jake McCabe				X	100.00	95	61	78	83	76	81	92	64	25	61	51	86	25	73	74	0	46	74	0	30	1	2,850,000$
17	Ben Chiarot				X	100.00	86	46	79	74	85	79	94	64	25	54	48	88	80	76	80	0	46	71	0	33	1	3,500,000$
18	Scott Mayfield				X	100.00	82	59	76	74	84	76	79	64	25	50	47	95	25	69	72	0	49	70	0	31	2	3,500,000$
Rayé
Équipe Mineure
1	Matthew Knies (R)			X		99.00	86	56	83	80	81	65	77	68	25	70	71	69	25	54	55	0	45	70	0	21	3	925,000$
2	Pierre Engvall		X	X		100.00	63	43	91	79	81	70	92	72	42	69	66	59	25	66	68	0	51	68	0	28	1	1,833,000$
3	Brett Leason			X		99.00	77	45	92	71	82	64	78	64	39	63	70	80	25	60	61	0	51	68	0	25	1	842,500$
4	Max Jones			X		100.00	89	58	82	74	82	62	78	71	34	65	59	68	25	65	65	0	50	67	0	26	3	1,295,000$
5	Taylor Raddysh			X		100.00	77	44	90	74	73	72	93	78	37	61	58	78	25	64	64	0	50	67	0	26	1	758,333$
6	Jesse Puljujarvi			X		98.00	83	45	91	80	77	53	72	66	31	55	66	65	25	63	65	0	50	66	0	26	1	1,175,000$
7	Mark Kastelic	X		X		100.00	85	99	72	72	86	48	85	64	76	58	58	66	25	59	59	0	50	64	0	25	3	825,000$
8	Vinni Lettieri	X		X		100.00	77	43	84	69	69	54	68	68	50	59	60	69	25	58	58	0	50	63	0	29	1	2,100,000$
9	Isak Rosen (R)			X		100.00	69	58	93	66	58	80	85	64	50	61	63	62	60	44	44	0	50	63	0	21	3	894,167$
10	Austin Czarnik	X		X		100.00	67	41	89	80	59	51	88	64	69	53	55	65	25	65	65	0	50	62	0	31	3	762,500$
11	Emil Heineman			X		100.00	74	69	84	65	69	54	53	62	50	56	63	64	60	44	44	0	50	61	0	22	3	897,500$
12	Niko Mikkola				X	98.00	89	56	76	73	73	33	99	62	25	52	48	93	25	64	66	0	50	69	0	28	1	2,125,000$
13	Braden Schneider				X	100.00	85	45	93	78	75	68	99	63	25	52	48	81	25	63	65	0	50	69	0	23	1	925,000$
14	Dylan Samberg				X	98.00	71	53	84	77	72	67	88	63	25	56	47	85	25	59	60	0	50	69	0	25	1	925,000$
15	Kaedan Korczak				X	100.00	82	45	90	73	73	69	72	65	25	64	48	71	25	47	47	0	50	68	0	23	1	789,167$
16	Ben Hutton				X	100.00	63	55	87	81	77	69	57	69	25	54	48	67	75	72	73	0	50	66	0	31	1	850,000$
17	Jacob MacDonald				X	100.00	77	64	80	67	75	59	66	73	31	45	61	68	75	62	62	0	50	64	0	31	1	2,125,000$
18	Cale Fleury				X	100.00	79	75	89	74	75	57	58	55	25	50	43	66	41	51	51	0	48	62	0	25	1	800,000$
19	Alex Petrovic				X	100.00	82	81	84	70	81	78	86	50	25	43	41	65	39	44	44	0	50	61	0	32	1	775,000$
20	Roland McKeown				X	100.00	73	71	77	65	71	76	83	50	25	43	42	60	40	44	44	0	42	57	0	28	3	762,500$
21	Drew Helleson (R)				X	100.00	78	77	79	65	77	72	79	48	25	39	41	62	39	44	44	0	42	57	0	23	2	925,000$
22	Lukas Cormier (R)				X	100.00	70	65	83	67	65	72	78	50	25	45	41	59	39	44	44	0	42	57	0	22	3	793,333$
23	Libor Hajek				X	100.00	72	75	66	65	75	48	50	43	25	28	39	61	37	57	57	0	42	52	0	26	1	874,125$

	MOYENNE D'ÉQUIPE					99.63	78	56	84	77	74	69	82	69	40	62	61	72	41	63	65	0	47	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	Âge	Contrat	Salaire
1	Connor Ingram	100.00	75	68	66	75	77	74	69	74	77	75	68	54	55	0	36	72	0	27	1	733,333$
2	Marc-Andre Fleury	99.00	69	73	75	73	78	60	69	70	65	68	84	86	93	0	46	71	0	39	1	7,000,000$
Rayé
1	Kevin Lankinen	100.00	73	53	54	73	80	66	69	75	78	73	95	57	57	0	42	70	0	29	2	2,000,000$
Équipe Mineure
1	John Gibson	100.00	65	79	78	82	65	64	69	64	65	65	61	71	71	0	45	68	0	31	2	6,400,000$
2	Yaroslav Askarov (R)	100.00	60	55	69	71	61	66	61	66	67	66	30	44	44	0	50	63	0	22	2	925,000$
3	Erik Kallgren	100.00	46	50	63	75	43	47	50	53	48	48	30	44	44	0	42	50	0	27	2	2,750,000$

	MOYENNE D'ÉQUIPE	99.83	65	63	68	75	67	63	65	67	67	66	61	59	61	0	44	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jared Bednar	80	80	80	80	80	80	80	CAN	43	1	3,000,000$

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 Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	P/20	S1	S2	S3
1	Mark Scheifele	Flyers	C	8	2	8	10	0	2	16	24	23	5	17	8.70%	2	182	22.82	0	2	2	4	20	0	27	0	0	47.66%	235	1.10	1	1	0
2	Jonathan Marchessault	Flyers	LW/RW	8	5	4	9	1	2	11	7	28	6	16	17.86%	0	163	20.48	0	1	1	5	19	1	25	1	0	30.77%	39	1.10	1	1	0
3	Rasmus Dahlin	Flyers	D	8	3	5	8	-3	12	23	14	13	4	7	23.08%	16	187	23.46	2	1	3	6	20	0	29	1	0	0.00%	0	0.85	1	0	1
4	Nick Schmaltz	Flyers	C/RW	8	2	5	7	-4	2	2	16	19	9	22	10.53%	1	145	18.17	0	2	2	1	18	0	6	0	0	33.33%	12	0.96	0	0	0
5	Nico Hischier	Flyers	C	8	3	3	6	-2	2	2	21	25	6	18	12.00%	4	173	21.70	1	0	1	3	17	2	35	0	0	54.46%	213	0.69	0	0	0
6	Dougie Hamilton	Flyers	D	8	0	5	5	-3	2	15	8	5	1	10	0.00%	10	193	24.18	0	2	2	1	20	0	35	0	0	0.00%	0	0.52	0	0	0
7	Kevin Fiala	Flyers	LW/RW	8	2	3	5	1	6	11	15	22	9	13	9.09%	1	158	19.81	2	1	3	6	20	0	17	0	1	29.17%	24	0.63	0	0	0
8	Oliver Bjorkstrand	Flyers	LW/RW	8	1	4	5	-6	4	12	8	9	6	9	11.11%	0	121	15.13	0	2	2	0	11	0	0	0	0	0.00%	10	0.83	0	0	0
9	Jake McCabe	Flyers	D	8	1	3	4	4	24	35	8	6	2	5	16.67%	20	171	21.50	0	0	0	3	18	1	18	0	0	0.00%	0	0.47	0	0	0
10	Jaccob Slavin	Flyers	D	8	2	1	3	4	0	2	9	16	3	6	12.50%	15	177	22.19	1	0	1	9	18	0	25	0	0	0.00%	0	0.34	0	0	0
11	Anthony Duclair	Flyers	RW	8	0	2	2	-1	2	1	4	16	6	7	0.00%	0	109	13.71	0	1	1	1	6	0	0	0	0	27.78%	18	0.36	0	0	0
12	Ben Chiarot	Flyers	D	8	0	1	1	-9	14	9	7	4	2	4	0.00%	10	112	14.03	0	0	0	0	0	0	4	0	0	0.00%	0	0.18	0	0	0
13	Ryan Strome	Flyers	C/RW	8	1	0	1	-5	0	8	5	5	2	4	20.00%	0	63	7.99	0	0	0	0	3	0	0	0	0	35.71%	28	0.31	0	0	0
14	Scott Mayfield	Flyers	D	8	1	0	1	-9	6	10	8	6	0	0	16.67%	8	116	14.58	0	0	0	0	0	0	8	0	0	0.00%	0	0.17	0	0	0
15	Jean-Gabriel Pageau	Flyers	C	8	0	0	0	-6	0	6	23	18	7	11	0.00%	3	113	14.24	0	0	0	0	0	0	9	0	0	59.35%	123	0.00	0	0	0
16	Eeli Tolvanen	Flyers	RW	8	0	0	0	-2	2	7	3	7	1	2	0.00%	0	39	4.98	0	0	0	0	0	0	0	0	0	66.67%	3	0.00	0	0	0
17	Nic Dowd	Flyers	C	8	0	0	0	0	0	3	3	2	0	4	0.00%	1	21	2.65	0	0	0	0	0	0	0	0	0	73.33%	15	0.00	0	0	0
18	Marcus Foligno	Flyers	LW/RW	8	0	0	0	0	4	12	5	7	1	10	0.00%	1	79	9.89	0	0	0	0	0	0	0	0	0	16.67%	6	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				144	23	44	67	-40	84	185	188	231	70	165	9.96%	92	2332	16.20	6	12	18	39	200	4	243	2	1	48.62%	726	0.57	3	2	1

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	PCT	GAA	MP	GA	SA	ST	BG	S1
1	Connor Ingram	Flyers	7	2	5	0.873	4.76	328	26	205	7	1	1
2	Marc-Andre Fleury	Flyers	3	0	1	0.898	4.03	149	10	98	1	7	0
Stats d'équipe Total ou en Moyenne			10	2	6	0.881	4.53	477	36	303	8	8	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	Type	Salaire Actuel	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Anthony Duclair	Flyers	RW	29	1995-08-26	No	198 Lbs	5 ft11	No	No	No	1	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	3,000,000$	No				Lien / Lien NHL
Ben Chiarot	Flyers	D	33	1991-05-08	No	233 Lbs	6 ft3	No	No	No	1	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	3,500,000$	No				Lien / Lien NHL
Connor Ingram	Flyers	G	27	1997-03-30	No	211 Lbs	6 ft0	No	No	No	1	Pro & Farm	733,333$	733,333$	733,333$	733,333$	No				Lien / Lien NHL
Dougie Hamilton	Flyers	D	31	1993-06-17	No	229 Lbs	6 ft6	No	No	No	3	Pro & Farm	9,000,000$	9,000,000$	9,000,000$	9,000,000$	No	9,000,000$	9,000,000$		Lien / Lien NHL
Eeli Tolvanen	Flyers	RW	25	1999-04-22	No	191 Lbs	5 ft10	No	No	No	4	Pro & Farm	1,450,000$	1,450,000$	1,450,000$	1,450,000$	No	1,450,000$	1,450,000$	1,450,000$	Lien / Lien NHL
Jaccob Slavin	Flyers	D	30	1994-05-01	No	207 Lbs	6 ft3	No	No	No	1	Pro & Farm	5,300,000$	5,300,000$	5,300,000$	5,300,000$	No				Lien / Lien NHL
Jake McCabe	Flyers	D	30	1993-10-12	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,850,000$	2,850,000$	2,850,000$	2,850,000$	No				Lien / Lien NHL
Jean-Gabriel Pageau	Flyers	C	31	1992-11-11	No	180 Lbs	5 ft10	No	No	No	1	Pro & Farm	5,000,000$	5,000,000$	5,000,000$	5,000,000$	No				Lien / Lien NHL
Jonathan Marchessault	Flyers	LW/RW	33	1990-12-27	No	180 Lbs	5 ft9	No	No	No	1	Pro & Farm	5,000,000$	5,000,000$	5,000,000$	5,000,000$	No				Lien / Lien NHL
Kevin Fiala	Flyers	LW/RW	28	1996-07-22	No	194 Lbs	5 ft10	No	No	No	1	Pro & Farm	5,100,000$	5,100,000$	5,100,000$	5,100,000$	No				Lien / Lien NHL
Kevin Lankinen	Flyers	G	29	1995-04-28	No	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	2,000,000$	No	2,000,000$			Lien / Lien NHL
Marc-Andre Fleury	Flyers	G	39	1984-11-28	No	185 Lbs	6 ft2	No	No	No	1	Pro & Farm	7,000,000$	7,000,000$	7,000,000$	7,000,000$	No				Lien / Lien NHL
Marcus Foligno	Flyers	LW/RW	33	1991-08-10	No	224 Lbs	6 ft3	No	No	No	1	Pro & Farm	3,100,000$	3,100,000$	3,100,000$	3,100,000$	No				Lien / Lien NHL
Mark Scheifele	Flyers	C	31	1993-03-14	No	207 Lbs	6 ft3	No	No	No	3	Pro & Farm	6,125,000$	6,125,000$	6,125,000$	6,125,000$	No	6,125,000$	6,125,000$		Lien / Lien NHL
Nic Dowd	Flyers	C	34	1990-05-27	No	194 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,600,000$	1,600,000$	1,600,000$	1,600,000$	No	1,600,000$	1,600,000$		Lien / Lien NHL
Nick Schmaltz	Flyers	C/RW	28	1996-02-23	No	176 Lbs	6 ft0	No	No	No	3	Pro & Farm	5,850,000$	5,850,000$	5,850,000$	5,850,000$	No	5,850,000$	5,850,000$		Lien / Lien NHL
Nico Hischier	Flyers	C	25	1999-01-04	No	174 Lbs	6 ft1	No	No	No	3	Pro & Farm	7,250,000$	7,250,000$	7,250,000$	7,250,000$	No	7,250,000$	7,250,000$		Lien / Lien NHL
Oliver Bjorkstrand	Flyers	LW/RW	29	1995-04-10	No	176 Lbs	6 ft0	No	No	No	3	Pro & Farm	5,400,000$	5,400,000$	5,400,000$	5,400,000$	No	5,400,000$	5,400,000$		Lien / Lien NHL
Rasmus Dahlin	Flyers	D	24	2000-04-13	No	194 Lbs	6 ft3	No	No	No	2	Pro & Farm	6,000,000$	6,000,000$	6,000,000$	6,000,000$	No	6,000,000$			Lien / Lien NHL
Ryan Strome	Flyers	C/RW	31	1993-07-11	No	196 Lbs	6 ft1	No	No	No	2	Pro & Farm	5,000,000$	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$			Lien / Lien NHL
Scott Mayfield	Flyers	D	31	1992-10-14	No	222 Lbs	6 ft5	No	No	No	2	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$			Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	30.05	198 Lbs	6 ft1	1.90	4,464,683$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
93,758,333$	53,175,000$	36,675,000$	1,450,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Nico Hischier	Jonathan Marchessault	Kevin Fiala	30	1	2	2
2	Mark Scheifele	Oliver Bjorkstrand	Anthony Duclair	30	1	2	2
3	Jean-Gabriel Pageau	Ryan Strome	Nick Schmaltz	25	1	2	2
4	Nic Dowd	Marcus Foligno	Eeli Tolvanen	15	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jaccob Slavin	Dougie Hamilton	37	1	2	2
2	Rasmus Dahlin	Jake McCabe	35	1	2	2
3	Ben Chiarot	Scott Mayfield	21	1	2	2
4	Ben Chiarot	Rasmus Dahlin	7	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Nico Hischier	Jonathan Marchessault	Kevin Fiala	60	1	2	2
2	Mark Scheifele	Oliver Bjorkstrand	Anthony Duclair	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Dahlin	Dougie Hamilton	60	1	2	2
2	Jaccob Slavin	Jake McCabe	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nic Dowd	Marcus Foligno	60	1	4	0
2	Jean-Gabriel Pageau	Nick Schmaltz	40	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jaccob Slavin	Scott Mayfield	60	2	3	0
2	Jake McCabe	Ben Chiarot	40	2	3	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Nic Dowd	60	0	5	0	Scott Mayfield	Jaccob Slavin	60	1	4	0
2	Jean-Gabriel Pageau	40	0	5	0	Ben Chiarot	Jake McCabe	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nico Hischier	Nick Schmaltz	60	1	2	2
2	Nic Dowd	Kevin Fiala	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Dahlin	Dougie Hamilton	60	1	2	2
2	Jaccob Slavin	Jake McCabe	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jonathan Marchessault	Nico Hischier	Kevin Fiala	Rasmus Dahlin	Dougie Hamilton

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Marcus Foligno	Nic Dowd	Jean-Gabriel Pageau	Rasmus Dahlin	Dougie Hamilton

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Nic Dowd, Anthony Duclair, Jean-Gabriel Pageau	Nic Dowd, Anthony Duclair	Jean-Gabriel Pageau

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ben Chiarot, Scott Mayfield, Jaccob Slavin	Ben Chiarot	Scott Mayfield, Jaccob Slavin

Tirs de Pénalité
Mark Scheifele, Nico Hischier, Jonathan Marchessault, Kevin Fiala, Nick Schmaltz

Gardien
#1 : Marc-Andre Fleury, #2 : Connor Ingram

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Lightning	2	1	1	0	0	0	0	0	7	11	-4	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	1	8	-7	2	0.500	7	13	20	0	0	2	3	2	0	74	24	33	17	0	69	18	24	45	7	3	42.86%	11	3	72.73%	0	141	269	52.42%	150	317	47.32%	62	140	44.29%	47	32	48	15	24	11
2	Panthers	2	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	3	7	-4	0	0.000	5	10	15	0	0	1	2	2	0	51	16	12	23	0	77	22	26	44	5	0	0.00%	11	3	72.73%	0	141	269	52.42%	150	317	47.32%	62	140	44.29%	42	28	50	15	26	13
3	Penguins	2	1	1	0	0	0	0	0	8	9	-1	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	5	4	1	2	0.500	8	15	23	0	0	6	1	1	0	59	24	18	17	0	63	21	14	57	6	1	16.67%	7	3	57.14%	0	141	269	52.42%	150	317	47.32%	62	140	44.29%	44	29	49	14	26	12
4	Rangers	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	0	1	1	1	0	47	21	15	11	0	94	31	20	39	6	2	33.33%	10	2	80.00%	0	141	269	52.42%	150	317	47.32%	62	140	44.29%	40	26	55	15	24	11
	Total	8	2	6	0	0	0	0	0	23	36	-13	4	1	3	0	0	0	0	0	11	13	-2	4	1	3	0	0	0	0	0	12	23	-11	4	0.250	23	44	67	0	0	10	7	6	0	231	85	78	68	0	303	92	84	185	24	6	25.00%	39	11	71.79%	0	141	269	52.42%	150	317	47.32%	62	140	44.29%	174	117	203	60	102	48
	_Since Last GM Reset	8	2	6	0	0	0	0	0	23	36	-13	4	1	3	0	0	0	0	0	11	13	-2	4	1	3	0	0	0	0	0	12	23	-11	4	0.250	23	44	67	0	0	10	7	6	0	231	85	78	68	0	303	92	84	185	24	6	25.00%	39	11	71.79%	0	141	269	52.42%	150	317	47.32%	62	140	44.29%	174	117	203	60	102	48
	_Vs Conference	8	2	6	0	0	0	0	0	23	36	-13	4	1	3	0	0	0	0	0	11	13	-2	4	1	3	0	0	0	0	0	12	23	-11	4	0.250	23	44	67	0	0	10	7	6	0	231	85	78	68	0	303	92	84	185	24	6	25.00%	39	11	71.79%	0	141	269	52.42%	150	317	47.32%	62	140	44.29%	174	117	203	60	102	48
	_Vs Division	8	2	6	0	0	0	0	0	23	36	-13	4	1	3	0	0	0	0	0	11	13	-2	4	1	3	0	0	0	0	0	12	23	-11	4	0.250	23	44	67	0	0	10	7	6	0	231	85	78	68	0	303	92	84	185	24	6	25.00%	39	11	71.79%	0	141	269	52.42%	150	317	47.32%	62	140	44.29%	174	117	203	60	102	48

			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
8	4	L1	23	44	67	231	303	92	84	185	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	2	6	0	0	0	0	23	36

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	11	13

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	12	23

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	6	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
24	6	25.00%	39	11	71.79%	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
85	78	68	0	10	7	6	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
141	269	52.42%	150	317	47.32%	62	140	44.29%

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
174	117	203	60	102	48

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	Lien
1 - 2024-09-17	3	Penguins	5	Flyers	3	L	Sommaire du Match
3 - 2024-09-19	16	Flyers	1	Lightning	8	L	Sommaire du Match
4 - 2024-09-20	25	Rangers	2	Flyers	0	L	Sommaire du Match
6 - 2024-09-22	30	Flyers	3	Panthers	7	L	Sommaire du Match
8 - 2024-09-24	45	Lightning	3	Flyers	6	W	Sommaire du Match
9 - 2024-09-25	50	Flyers	3	Rangers	4	L	Sommaire du Match
12 - 2024-09-28	65	Flyers	5	Penguins	4	W	Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
15 - 2024-10-01	79	Panthers	3	Flyers	2	L	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	8000	5000	2000	4000	1000
Prix des Billets	110	72	55	38	220
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$	20000	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$	93,758,333$	54,258,333$	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$	21	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	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	153,436,089$	153,436,089$

Cap Salarial de la Saison Éstimé	Cap Salarial Disponible	Cap Salarial Maximum	Au dessus du Plafond Salarial Minimum
0$	110,000,000$	110,000,000$	-82,000,000$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Jonathan Marchessault	AGE:33	PO:0	OV:80
Kevin Fiala	AGE:28	PO:0	OV:79
Oliver Bjorkstrand	AGE:29	PO:0	OV:75
Marcus Foligno	AGE:33	PO:0	OV:72
Pierre Engvall	AGE:28	PO:0	OV:68

Nico Hischier	AGE:25	PO:0	OV:82
Mark Scheifele	AGE:31	PO:0	OV:82
Nick Schmaltz	AGE:28	PO:0	OV:78
Jean-Gabriel Pageau	AGE:31	PO:0	OV:75
Ryan Strome	AGE:31	PO:0	OV:73
Nic Dowd	AGE:34	PO:0	OV:71
Mark Kastelic	AGE:25	PO:0	OV:64
Vinni Lettieri	AGE:29	PO:0	OV:63
Austin Czarnik	AGE:31	PO:0	OV:62

Jonathan Marchessault	AGE:33	PO:0	OV:80
Kevin Fiala	AGE:28	PO:0	OV:79
Nick Schmaltz	AGE:28	PO:0	OV:78
Anthony Duclair	AGE:29	PO:0	OV:76
Oliver Bjorkstrand	AGE:29	PO:0	OV:75
Ryan Strome	AGE:31	PO:0	OV:73
Eeli Tolvanen	AGE:25	PO:0	OV:73
Marcus Foligno	AGE:33	PO:0	OV:72
*Matthew Knies	AGE:21	PO:0	OV:70
Pierre Engvall	AGE:28	PO:0	OV:68
Brett Leason	AGE:25	PO:0	OV:68
Max Jones	AGE:26	PO:0	OV:67
Taylor Raddysh	AGE:26	PO:0	OV:67
Jesse Puljujarvi	AGE:26	PO:0	OV:66
Mark Kastelic	AGE:25	PO:0	OV:64
Vinni Lettieri	AGE:29	PO:0	OV:63
*Isak Rosen	AGE:21	PO:0	OV:63
Austin Czarnik	AGE:31	PO:0	OV:62
Emil Heineman	AGE:22	PO:0	OV:61

Défense #1

Défense #2

Gardien

Rasmus Dahlin	AGE:24	PO:0	OV:80
Dougie Hamilton	AGE:31	PO:0	OV:75
Jaccob Slavin	AGE:30	PO:0	OV:75
Jake McCabe	AGE:30	PO:0	OV:74
Ben Chiarot	AGE:33	PO:0	OV:71
Scott Mayfield	AGE:31	PO:0	OV:70
Niko Mikkola	AGE:28	PO:0	OV:69
Braden Schneider	AGE:23	PO:0	OV:69
Dylan Samberg	AGE:25	PO:0	OV:69

Kaedan Korczak	AGE:23	PO:0	OV:68
Ben Hutton	AGE:31	PO:0	OV:66
Jacob MacDonald	AGE:31	PO:0	OV:64
Cale Fleury	AGE:25	PO:0	OV:62
Alex Petrovic	AGE:32	PO:0	OV:61
Roland McKeown	AGE:28	PO:0	OV:57
*Drew Helleson	AGE:23	PO:0	OV:57
*Lukas Cormier	AGE:22	PO:0	OV:57
Libor Hajek	AGE:26	PO:0	OV:52

Connor Ingram	AGE:27	PO:0	OV:72
Marc-Andre Fleury	AGE:39	PO:0	OV:71
Kevin Lankinen	AGE:29	PO:0	OV:70
John Gibson	AGE:31	PO:0	OV:68
*Yaroslav Askarov	AGE:22	PO:0	OV:63
Erik Kallgren	AGE:27	PO:0	OV:50

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	Lien
Ben Harpur	Flyers	Lien
Brendan Perlini	Flyers	Lien
Cutter Gauthier Y2022-8	Flyers
Gabriel Perreault Y2023-26	Flyers
Lenni Hameenaho Y2023-106	Flyers
Michael Houser	Flyers	Lien
Nick Bonino	Flyers	Lien
Nick Ritchie	Flyers	Lien
Olivier Rodrigue Y 2018 - 81	Flyers
Ozzy Wiesblatt Y2020-46	Flyers
Scott Morrow Y 2021 - 56	Flyers
Simon Robertson Y 2021 - 69	Flyers
Ville Koivunen Y 2021 - 76	Flyers
jake Gardiner (4050000 1 an)	Flyers

Choix au Repêchage

Année	R1	R2	R3	R4	R5
2025	Phi	Phi	Phi	Phi	Phi
2026	Phi	Phi	Phi	Phi	Phi
2027	Phi	Phi	Phi	Phi	Phi
2028	Phi	Phi	Phi	Phi	Phi
2029	Phi	Phi	Phi	Phi	Phi

[2024-09-24 18:10:41] - TRADE : From Lightning to Flyers : Matthew Knies (70).
[2024-09-18 12:47:48] - Team Name Change : Riverins changed name to Phantoms
[2024-09-18 12:45:19] - General Manager Change : Flyers hired general manager Patrick Villeneuve
[2024-09-18 12:45:19] - General Manager Change : Flyers fired general manager JF Lachance
[2024-09-18 12:44:38] - Team Name Change : Philadelphia changed name to Flyers
[2024-09-17 15:03:21] - Sam Carrick was released.
[2024-09-17 15:03:21] - Jordan Oesterle was released.
[2024-09-17 15:03:21] - Phillip Di Giuseppe was released.
[2024-09-17 14:58:36] - Team Name Change : Nordiques changed name to Philadelphia
[2024-07-15 19:22:22] - Lucas Cormier Y2020-77 has been deleted from Nordiques.
[2024-07-15 19:22:15] - Isak Rosen Y 2021 - 15 has been deleted from Nordiques.
[2024-07-15 19:22:07] - Emil Heineman Y2022-96 has been deleted from Nordiques.
[2024-07-15 19:22:03] - Alexander Petrovic has been deleted from Nordiques.
[2024-06-20 18:53:24] - Matthew Knies Y2022-32 has been deleted from Nordiques.
[2024-06-09 16:52:02] - TRADE : From Lightning to Nordiques : Connor Ingram (72), Mark Scheifele (82), Matthew Knies Y2022-32 (P).
[2024-06-09 16:52:02] - TRADE : From Nordiques to Lightning : Jack Eichel (86), Y:2024-RND:3-Win, Y:2024-RND:5-MTL.
[2024-06-03 14:18:20] - TRADE : From Nordiques to Oilers : J.J Moser (72), Jackson LaCombe (70), Brennan Othmann (63), Raphael Lavoie (65), Shane Wright (66).
[2024-06-03 14:16:16] - Brennan Othmann signed with Nordiques for 863 333 $ for 3 year(s).
[2024-06-03 14:16:16] - Brennan Othmann was added to Nordiques.
[2024-06-03 14:15:43] - Raphael Lavoie signed with Nordiques for 874 125 $ for 3 year(s).
[2024-06-03 14:15:43] - Raphael Lavoie was added to Nordiques.
[2024-06-03 14:15:23] - Shane Wright signed with Nordiques for 918 333 $ for 3 year(s).
[2024-06-03 14:15:23] - Shane Wright was added to Nordiques.
[2024-06-03 14:14:54] - Jackson LaCombe signed with Nordiques for 925 000 $ for 3 year(s).
[2024-06-03 14:14:54] - Jackson LaCombe was added to Nordiques.
[2024-06-03 14:14:00] - J.J Moser signed with Nordiques for 886 667 $ for 1 year(s).
[2024-06-03 14:14:00] - J.J Moser was added to Nordiques.
[2024-06-03 14:12:34] - Lukas Cormier signed with Nordiques for 793 333 $ for 3 year(s).
[2024-06-03 14:12:34] - Lukas Cormier was added to Nordiques.
[2024-06-03 14:12:12] - Emil Heineman signed with Nordiques for 897 500 $ for 3 year(s).
[2024-06-03 14:12:12] - Emil Heineman was added to Nordiques.
[2024-06-03 14:11:48] - Alex Petrovic signed with Nordiques for 775 000 $ for 1 year(s).
[2024-06-03 14:11:48] - Alex Petrovic was added to Nordiques.
[2024-06-03 14:11:27] - Isak Rosen signed with Nordiques for 894 167 $ for 3 year(s).
[2024-06-03 14:11:27] - Isak Rosen was added to Nordiques.
[2024-05-01 19:04:32] - Riverins was eliminated at round 2 of year 2023.
[2024-04-26 19:40:25] - General Manager Change : Nordiques hired general manager JF Lachance
[2024-04-26 19:40:25] - General Manager Change : Nordiques fired general manager Michel Gauthier
[2024-04-21 16:52:53] - Nordiques didn't make playoff for year 2023.
[2024-03-09 12:00:19] - TRADE : From Nordiques to Jets : Tomas Nosek (67).
[2024-03-09 12:00:19] - TRADE : From Jets to Nordiques : Mark Kastelic (65).
[2024-03-09 11:59:49] - TRADE : From Nordiques to Maple Leafs : Alexander Barabanov (74).
[2024-03-09 11:59:49] - TRADE : From Maple Leafs to Nordiques : 15 000 000 $ (Money).
[2024-03-09 09:59:38] - TRADE : From Kraken to Nordiques : 15 000 000 $ (Money).
[2024-03-09 09:58:51] - TRADE : From Kraken to Nordiques : Eeli Tolvanen (72).
[2024-03-09 09:58:51] - TRADE : From Nordiques to Kraken : Maveric Lamoureux Y2022-30 (P), Vladislav Firstov Y 2019 - 68 (P), Y:2024-RND:4-Que.
[2024-02-25 10:16:15] - TRADE : From Nordiques to Penguins : Eric Robinson (68), Erik Gudbranson (70), Marco Scandella (68).
[2024-02-25 10:16:15] - TRADE : From Penguins to Nordiques : Ben Hutton (66), Nick Bonino (72), 5 000 000 $ (Money).
[2024-02-17 19:38:10] - Erik Gudbranson is no longer captain for Riverins .
[2024-02-06 20:02:43] - TRADE : From Nordiques to Canadiens : Ville Husso (69).
[2024-02-06 20:02:43] - TRADE : From Canadiens to Nordiques : Kevin Lankinen (70), Y:2006-RND:0-.
[2024-02-06 20:01:34] - TRADE : From Nordiques to Canadiens : Ville Husso (69).
[2024-02-06 20:01:34] - TRADE : From Canadiens to Nordiques : Kevin Lankinen (70), Y:2024-RND:5-MTL.
[2024-02-05 20:25:08] - TRADE : From Penguins to Nordiques : John Gibson (71), Y:2024-RND:4-Pit.
[2024-02-05 20:25:08] - TRADE : From Nordiques to Penguins : Evander Kane (76), Y:2024-RND:5-Que.
[2024-02-04 15:17:32] - TRADE : From Nordiques to Golden Knights : Mason Appleton (68), Moritz Seider (81).
[2024-02-04 15:17:32] - TRADE : From Golden Knights to Nordiques : Dougie Hamilton (78), Cutter Gauthier Y2022-8 (P), Y:2024-RND:1-SEA, 8 000 000 $ (Money).

[2024-10-04 21:06:33] Successfully loaded Flyers lines done with STHS Client - 3.4.3.3
[2024-10-01 19:46:24] Successfully loaded Flyers lines done with STHS Client - 3.4.3.3
[2024-09-30 18:22:41] Auto Lines Partial Function has been run for Flyers.
[2024-09-30 18:22:41] Flyers lines errors : Normal line # 1 C is empty. Normal line # 2 C is empty. Normal line # 4 LW is empty. Unknown Player is used twice in normal lines 1 and 2. Unknown Player is used twice in normal lines 1 and 2. PP line 1 C is empty. PK line 1 C is empty. 4 vs 4 line 1 C is empty. PK line 1 LW is empty. 4 vs 4 line 1 LW is empty. PK3 line 1 forward is empty. Unknown Player is used twice in PK line#1 Unknown Player is used twice in 4 vs 4 line#1 PP line 2 C is empty. PK3 line 2 forward is empty. LastMinOff line C is empty. LastMinDef line C is empty. Penalty Shot Player #1 is empty. Penalty Shot Player #2 is empty. Unknown Player is used twice in Extra Penalty Shot
[2024-09-30 16:14:41] Flyers roster errors : Not enough Forward available in Pro Team! 10 Dressed. 11 Required. Not enough Players available in Pro Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-09-28 17:39:42] Mark Scheifele from Flyers is back from Exhaustion.
[2024-09-28 17:39:42] Nico Hischier from Flyers is back from Exhaustion.
[2024-09-27 20:34:59] Mark Scheifele from Flyers is injured from Exhaustion.
[2024-09-27 20:34:59] Nico Hischier from Flyers is injured from Exhaustion.
[2024-09-26 21:04:17] Brett Leason from Phantoms is back from Exhaustion.
[2024-09-26 21:04:17] Pierre Engvall from Phantoms is back from Exhaustion.
[2024-09-25 19:45:11] Brett Leason from Phantoms is injured from Exhaustion.
[2024-09-25 19:45:11] Pierre Engvall from Phantoms is injured from Exhaustion.
[2024-09-24 19:51:45] Auto Roster Partial Function has been run for Flyers.
[2024-09-24 19:51:45] Phantoms roster errors : Too many Players available in Farm Team! 20 Dressed. Maximum is 19. Some errors will be automatically fixed.
[2024-09-24 18:21:36] Successfully loaded Flyers lines done with STHS Client - 3.4.3.3
[2024-09-24 18:10:41] TRADE : From Lightning to Flyers : Matthew Knies (70).
[2024-09-20 19:32:21] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2024-09-20 19:31:42] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2024-09-18 19:42:33] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2024-09-18 19:40:23] Auto Lines Farm Function has been run for Phantoms.
[2024-09-18 18:58:45] Auto Lines Partial Function has been run for Flyers.
[2024-09-18 18:58:45] Auto Roster Partial Function has been run for Flyers.
[2024-09-18 18:58:45] Scott Mayfield of Flyers was sent to pro.
[2024-09-18 18:58:45] Flyers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Too many Goalie available in Pro Team! 3 Dressed. Maximum is 2. Some errors will be automatically fixed.
[2024-09-18 12:46:11] Flyers Messenger Address was changed to 819-352-7716.
[2024-09-18 12:45:44] Flyers Email Address was changed to pvilleneuve79@gmail.com.

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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
Séries
2021	4	0	4	0	0	0	0	0	11	16	-5	2	0	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	5	8	-3	0	11	20	31	0	0	5	5	1	0	104	33	36	35	0	123	41	28	87	16	2	12.50%	14	1	92.86%	0	53	136	38.97%	74	151	49.01%	22	62	35.48%	91	61	97	29	50	25
Total Séries	4	0	4	0	0	0	0	0	11	16	-5	2	0	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	5	8	-3	0	11	20	31	0	0	5	5	1	0	104	33	36	35	0	123	41	28	87	16	2	12.50%	14	1	92.86%	0	53	136	38.97%	74	151	49.01%	22	62	35.48%	91	61	97	29	50	25