Phantoms
Accueil
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Client Web pour la formation
Client Web pour les lignes

Centre de jeu
	Flyers 13-4-1, 27pts	6	FINAL	5	Penguins 10-5-4, 24pts

Team Stats
L1	Streak	OTL1
6-3-1	Home Record	5-2-2
7-1-0	Away Record	5-3-2
6-3-1	Last 10 Games	5-2-3
4.22	Goals Per Game	3.11
3.22	Goals Against Per Game	3.26
17.39%	Power Play Percentage	23.73%
73.53%	Penalty Kill Percentage	80.33%

Blues
8-9-1, 17pts

FINAL

Flyers
13-4-1, 27pts

Team Stats
W2	Streak	L1
3-6-0	Home Record	6-3-1
5-3-1	Away Record	7-1-0
6-3-1	Last 10 Games	6-3-1
2.67	Goals Per Game	4.22
2.72	Goals Against Per Game	3.22
17.33%	Power Play Percentage	17.39%
78.79%	Penalty Kill Percentage	73.53%

Flyers
13-4-1, 27pts

2022-11-29

Panthers
8-9-2, 18pts

Statistiques d’équipe
L1	Séquence	L2
6-3-1	Fiche domicile	4-4-1
7-1-0	Fiche visiteur	4-5-1
6-3-1	10 derniers matchs	3-6-1
4.22	Buts par match	3.00
3.22	Buts contre par match	3.32
17.39%	Pourcentage en avantage numérique	22.22%
73.53%	Pourcentage en désavantage numérique	77.05%

Islanders
7-9-3, 17pts

2022-12-02

Flyers
13-4-1, 27pts

Statistiques d’équipe
W1	Séquence	L1
4-4-1	Fiche domicile	6-3-1
3-5-2	Fiche visiteur	7-1-0
5-4-1	10 derniers matchs	6-3-1
2.74	Buts par match	4.22
3.16	Buts contre par match	3.22
20.90%	Pourcentage en avantage numérique	17.39%
85.53%	Pourcentage en désavantage numérique	73.53%

Flyers
13-4-1, 27pts

2022-12-05

Rangers
5-12-2, 12pts

Statistiques d’équipe
L1	Séquence	W2
6-3-1	Fiche domicile	3-5-1
7-1-0	Fiche visiteur	2-7-1
6-3-1	10 derniers matchs	4-5-1
4.22	Buts par match	2.68
3.22	Buts contre par match	3.68
17.39%	Pourcentage en avantage numérique	12.31%
73.53%	Pourcentage en désavantage numérique	72.97%

Meneurs d'équipe
	Buts Brad Marchand 12	Passes Ivan Provorov 14

	Points Brad Marchand 20	Plus/Moins Alexander Romanov 23

	Victoires Sergei Bobrovsky 7	Pourcentage d’arrêts Anthony Stolarz 0.894

Statistiques d’équipe
Buts pour 76 4.22 GFG	Tirs pour 633 35.17 Avg	Pourcentage en avantage numérique 17.4% 12 GF	Début de zone offensive 41.4%
Buts contre 58 3.22 GAA	Tirs contre 524 29.11 Avg	Pourcentage en désavantage numérique 73.5% 18 GA	Début de la zone défensive 39.5%

Information d’équipe
	Directeur général	Frank Grimard
	Entraîneur	Jon Cooper
	Division	METROPOLITAINE
	Conférence	EST
	Capitaine	Connor McDavid
	Assistant #1	Paul Stastny
	Assistant #2	Brad Marchand
Informations de l’aréna
	Nom	Wachovia Center
	Capacité	17,000
	Assistance	0
	Billets de saison	6,800
Information formation
	Équipe Pro	23
	Équipe Mineure	31
	Limite contact	54 / 55
	Espoirs	27
Plafond salarial
	Cap Salarial de la Saison estimé	73,000,680$
	Plafond salarial disponible	9,499,320$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	22
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	56,124,211$
	Compte bancaire actuel	93,730,662$
	Compte bancaire projeté	38,293,671$

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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	Âge	Contrat	Salaire
1	Brad Marchand (A)	0		X			100.00	73	86	65	82	66	95	94	85	66	87	84	73	81	86	79	0	50	83	0	34	4	6,241,000$
2	David Pastrnak	0			X		100.00	62	35	89	83	73	90	87	84	52	81	86	63	88	70	72	0	50	80	0	26	4	5,927,000$
3	Tom Wilson	0			X		100.00	90	86	62	72	90	82	95	71	56	74	75	81	59	74	73	0	50	80	0	28	3	5,786,000$
4	Kevin Fiala	0	X	X	X		100.00	63	37	77	80	71	89	84	78	58	79	81	64	82	69	73	0	50	78	0	26	5	700,000$
5	Phillip Danault	0	X				100.00	67	41	85	76	77	88	90	73	89	74	71	82	70	74	72	0	50	78	0	29	4	4,565,000$
6	Barclay Goodrow	0	X	X	X		100.00	80	78	73	67	81	87	91	65	80	71	64	87	63	72	71	0	50	77	0	29	4	4,406,000$
7	Alex Killorn	0		X			100.00	66	38	76	71	77	89	90	72	59	76	75	74	73	81	75	0	50	77	0	33	4	3,929,000$
8	Paul Stastny (A)	0	X				100.00	61	35	89	72	73	88	90	75	86	74	73	69	71	89	80	0	50	76	0	36	3	2,543,000$
9	Jack Roslovic	0	X		X		100.00	56	35	94	75	73	86	90	76	78	75	74	63	77	67	68	0	50	75	0	25	3	939,000$
10	Logan O'Connor	0			X		100.00	65	39	88	72	70	82	86	67	53	66	65	89	64	66	67	0	50	74	0	26	4	3,060,000$
11	Adam Ruzicka	0	X				100.00	76	39	92	67	90	83	75	65	78	66	68	64	67	63	65	0	50	72	0	23	5	850,000$
12	Noah Gregor (R)	0	X	X	X		100.00	74	39	86	69	72	84	85	67	61	68	66	62	72	64	65	0	50	71	0	24	1	850,000$
13	Ivan Provorov	0				X	100.00	73	36	89	77	78	93	95	76	30	75	69	86	58	69	72	0	50	80	0	25	2	2,902,000$
14	Devon Toews	0				X	100.00	62	35	86	73	76	89	81	74	30	85	73	90	59	69	71	0	50	79	0	28	5	914,000$
15	Adam Larsson	0				X	100.00	88	39	82	65	85	92	90	64	30	71	65	85	52	77	72	0	50	77	0	30	4	2,415,000$
16	Brett Pesce	0				X	100.00	56	34	84	66	85	93	89	64	30	78	65	89	52	71	70	0	50	76	0	28	5	956,000$
17	Henri Jokiharju (R)	0				X	100.00	66	35	93	71	74	91	87	72	30	73	62	74	52	64	63	0	50	74	0	23	4	2,617,000$
18	Alexander Romanov	0				X	100.00	88	42	81	68	79	90	92	66	30	68	56	76	53	62	64	0	50	74	0	22	5	1,177,500$
Rayé
1	Connor McDavid (C)	0	X				100.00	65	38	85	93	76	91	89	92	84	95	90	67	93	68	86	0	50	86	0	25	5	8,263,000$
2	Mark Friedman	0				X	100.00	64	36	70	66	71	82	73	65	30	67	65	66	55	67	68	0	50	70	0	26	2	918,000$
3	Oscar Klefbom	0				X	HO	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	50	7	0	29	1	9,618,180$
Équipe Mineure
1	Andrew Poturalski	0	X				100.00	58	36	93	64	69	87	88	66	77	68	62	59	65	68	73	0	50	69	0	28	2	937,500$
2	Joachim Blichfeld	0		X	X		97.00	64	38	81	67	79	82	83	66	57	62	67	61	69	64	66	0	50	69	0	24	1	790,000$
3	Glenn Gawdin	0	X				100.00	71	39	87	63	76	80	82	64	75	65	58	61	59	65	67	0	50	68	0	25	3	795,000$
4	Dylan Holloway	0	X	X			100.00	69	39	85	65	78	91	62	68	70	64	59	61	66	63	62	0	50	68	0	21	3	1,441,667$
5	Gerald Mayhew	0		X	X		99.00	68	35	94	66	62	73	74	66	68	64	66	65	66	77	72	0	50	68	0	29	1	1,003,000$
6	Riley Barber	0			X		100.00	64	38	84	62	74	80	78	63	66	61	64	59	67	69	70	0	50	67	0	28	1	1,000,000$
7	Ben Jones	0	X				98.00	71	39	73	61	72	80	87	59	66	58	60	55	62	64	65	0	50	66	0	23	2	1,254,000$
8	Gage Quinney	0		X			100.00	60	37	92	61	72	89	68	63	56	61	64	59	62	67	69	0	50	66	0	27	1	1,062,500$
9	David Cotton	0	X				100.00	71	39	85	57	80	79	82	58	62	56	59	58	61	65	67	0	50	65	0	25	1	1,093,000$
10	Tyce Thompson	0			X		100.00	63	40	87	59	72	79	66	58	67	61	57	62	56	63	65	0	50	65	0	23	1	1,125,000$
11	Jamieson Rees	0	X				100.00	58	37	76	59	67	78	87	58	66	57	56	54	59	61	63	0	50	63	0	21	3	910,833$
12	Josh Mahura	0				X	100.00	70	34	88	70	69	85	76	69	30	70	63	59	54	63	65	0	50	70	0	24	2	1,188,000$
13	Kurtis MacDermid	0				X	100.00	77	89	61	59	96	74	83	57	30	60	58	66	51	68	70	0	50	69	0	28	1	902,000$
14	Jakub Galvas	0				X	100.00	62	35	81	63	68	83	87	62	30	61	58	66	52	63	67	0	50	67	0	23	3	925,000$
15	Santeri Hatakka	0				X	100.00	60	38	83	64	76	77	74	60	30	65	58	64	50	61	63	0	50	67	0	21	3	925,000$
16	Dmitri Samorukov	0				X	100.00	68	38	82	62	81	73	77	60	30	59	58	56	49	63	65	0	50	66	0	23	1	863,333$
17	Cavan Fitzgerald	0				X	100.00	66	38	91	57	75	71	82	56	30	55	54	58	45	66	68	0	50	63	0	26	1	861,000$
18	Vasily Podkolzin	0			X		99.00	64	35	82	72	75	81	83	70	56	64	67	58	71	61	64	0	50	70	0	21	3	1,775,000$
19	Michal Teply	0			X		100.00	72	38	94	57	81	79	83	55	61	59	56	60	57	61	63	0	50	65	0	21	2	919,167$
20	Ben McCartney	0		X			100.00	79	39	66	58	71	84	82	56	58	57	59	60	58	61	63	0	50	65	0	21	3	813,333$
21	Jonathan Davidsson	0			X		100.00	58	35	95	59	70	63	66	61	56	60	58	59	61	67	64	0	50	63	0	25	1	850,000$
22	Aarne Talvitie	0	X				100.00	63	37	92	55	72	68	88	54	61	55	56	57	58	63	65	0	50	62	0	23	1	925,000$
23	Lukas Rousek	0			X		100.00	58	36	92	63	68	74	65	59	52	57	55	53	59	63	65	0	50	62	0	23	3	830,000$
24	Tye Felhaber	0		X			100.00	59	37	88	56	68	70	67	53	51	54	56	52	57	64	66	0	50	60	0	24	1	867,000$
25	Ryan O'Rourke	0				X	100.00	61	54	71	56	70	79	84	58	30	57	53	56	45	59	62	0	50	63	0	20	3	894,167$
26	Brennan Menell	0				X	100.00	61	34	73	57	68	66	67	59	30	58	52	57	45	65	67	0	50	62	0	25	3	806,000$
27	Matthew Kessel (R)	0				X	100.00	72	38	83	54	81	66	64	52	30	56	50	52	45	62	64	0	50	61	0	22	1	700,000$

	MOYENNE D’ÉQUIPE					99.85	66	41	81	65	74	80	80	64	52	65	63	64	60	66	67	0	50	69

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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Sergei Bobrovsky	100.00	94	96	90	77	93	92	94	93	92	94	93	86	88	0	50	93	1	34	3	2,501,000$
2	Anthony Stolarz	100.00	86	77	72	98	85	84	86	85	84	86	85	68	81	0	50	85	0	28	5	923,000$
Rayé
Équipe Mineure
1	Ken Appleby	100.00	73	68	67	88	72	71	73	72	71	73	72	67	77	0	50	75	0	27	1	700,000$
2	Adam Scheel	100.00	70	73	74	82	69	68	70	69	68	70	69	63	69	0	50	72	0	23	3	910,000$
3	Ryan Fanti	100.00	67	64	65	82	66	65	67	66	65	67	66	63	69	0	50	69	0	23	4	950,000$
4	Kirill Ustimenko	100.00	66	68	67	81	65	64	66	65	64	66	65	63	69	0	50	68	0	23	2	925,000$

	MOYENNE D’ÉQUIPE	100.00	76	74	73	85	75	74	76	75	74	76	75	68	76	0	50	77

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jon Cooper	84	91	90	76	82	76	67	CAN	55	4	0$

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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	S1	S2	S3
1	Brad Marchand	Flyers	LW	18	12	8	20	6	8	21	30	73	19	40	16.44%	2	327	18.19	2	1	3	8	63	0	0	0	1	1	3	0	56.00%	25	0	1	1.22	0	0	1	3	0
2	Ivan Provorov	Flyers	D	18	5	14	19	0	0	21	28	36	8	30	13.89%	31	445	24.77	3	4	7	18	61	0	1	1	1	55	1	0	0.00%	0	0	0	0.85	0	0	1	1	3
3	Connor McDavid	Flyers	C	16	6	12	18	4	0	3	39	72	24	47	8.33%	0	280	17.55	1	5	6	15	56	0	0	0	0	0	0	1	48.48%	396	0	1	1.28	1	2	1	1	0
4	Phillip Danault	Flyers	C	18	5	12	17	3	2	19	45	48	16	42	10.42%	3	369	20.52	1	4	5	15	57	1	0	1	4	50	2	0	48.59%	496	0	0	0.92	0	1	1	1	1
5	Jack Roslovic	Flyers	C/RW	18	7	9	16	14	6	4	12	33	14	38	21.21%	2	212	11.82	0	0	0	0	1	0	0	0	0	0	1	0	45.45%	11	0	0	1.50	0	0	2	1	0
6	David Pastrnak	Flyers	RW	18	4	11	15	4	2	7	31	63	18	55	6.35%	1	331	18.40	1	2	3	8	60	0	0	0	0	0	1	1	38.10%	21	0	0	0.91	2	3	1	1	0
7	Devon Toews	Flyers	D	18	3	12	15	-1	18	30	29	29	7	22	10.34%	21	418	23.27	2	2	4	13	61	0	0	0	0	45	0	1	0.00%	0	0	0	0.72	0	0	0	1	0
8	Kevin Fiala	Flyers	C/LW/RW	18	8	6	14	3	12	20	17	44	15	24	18.18%	1	319	17.76	1	0	1	7	57	0	0	0	0	0	0	0	53.33%	30	0	0	0.88	2	2	2	1	0
9	Paul Stastny	Flyers	C	18	5	8	13	15	2	8	31	28	2	20	17.86%	4	212	11.78	0	0	0	0	0	0	0	0	0	0	0	2	58.15%	227	1	0	1.23	0	0	0	0	2
10	Tom Wilson	Flyers	RW	18	3	10	13	5	22	62	18	50	14	27	6.00%	4	356	19.82	0	1	1	8	58	0	1	1	0	41	0	0	36.84%	38	0	0	0.73	0	0	1	1	1
11	Henri Jokiharju	Flyers	D	18	4	8	12	21	2	7	15	14	6	10	28.57%	24	275	15.33	0	0	0	1	5	0	0	0	0	4	1	0	0.00%	0	0	0	0.87	0	0	1	1	0
12	Alexander Romanov	Flyers	D	18	1	10	11	23	18	57	14	7	5	5	14.29%	16	283	15.73	0	0	0	0	0	0	0	0	0	19	0	0	0.00%	0	0	0	0.78	0	0	0	1	3
13	Alex Killorn	Flyers	LW	18	5	4	9	14	2	20	10	36	12	32	13.89%	1	223	12.43	0	0	0	0	0	0	0	0	1	12	0	0	28.57%	14	0	0	0.80	0	0	0	0	1
14	Brett Pesce	Flyers	D	18	0	6	6	4	10	17	18	25	7	18	0.00%	20	379	21.07	0	1	1	15	56	0	0	0	0	49	0	0	0.00%	0	0	0	0.32	0	0	0	0	0
15	Adam Larsson	Flyers	D	18	2	3	5	-5	22	49	20	19	6	21	10.53%	23	377	21.00	1	1	2	8	56	0	0	0	0	46	0	1	0.00%	0	0	0	0.26	0	0	0	0	0
16	Barclay Goodrow	Flyers	C/LW/RW	18	0	2	2	-3	4	23	28	16	6	14	0.00%	3	182	10.15	0	0	0	0	0	0	0	0	0	57	0	0	47.41%	251	0	0	0.22	0	0	0	0	0
17	Noah Gregor	Flyers	C/LW/RW	17	2	0	2	-2	6	7	1	12	1	2	16.67%	0	119	7.02	0	0	0	0	0	0	0	0	0	0	0	0	28.57%	7	0	0	0.34	0	0	0	0	0
18	Adam Ruzicka	Flyers	C	3	1	1	2	1	2	1	2	7	0	2	14.29%	0	46	15.55	0	0	0	0	6	0	0	0	0	0	1	0	51.72%	58	0	0	0.86	0	0	0	0	0
19	Logan O'Connor	Flyers	RW	18	0	1	1	-3	0	5	11	21	4	14	0.00%	4	185	10.30	0	0	0	0	0	0	0	0	0	57	0	0	53.33%	15	0	0	0.11	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				324	73	137	210	103	138	381	399	633	184	463	11.53%	160	5348	16.51	12	21	33	116	605	1	2	3	7	441	10	6	49.40%	1589	1	2	0.79	5	8	11	13	11

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	GA	SA	A	PS %	PSA	ST	BG
1	Sergei Bobrovsky	Flyers	9	7	2	0	0.884	3.16	551	29	250	0	1.000	4	9	9
2	Anthony Stolarz	Flyers	9	6	2	1	0.894	3.17	549	29	274	1	1.000	3	9	9
Statistiques d’équipe totales ou en moyenne			18	13	4	1	0.889	3.16	1101	58	524	1	1.000	7	18	18

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	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	Salaire actuel	Salaire restant	Salaire moyen	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Link
Adam Larsson	Flyers	D	30	1992-11-12	No	208 Lbs	6 ft3	No	No	No	4	Pro & Farm	2,415,000$	1,856,693$	2,346,000$	2,415,000$	1,856,694$	No	2,415,000$	2,415,000$	2,415,000$		Lien
Adam Ruzicka	Flyers	C	23	1999-05-11	No	220 Lbs	6 ft4	No	No	No	5	Pro & Farm	850,000$	653,494$	801,666$	850,000$	653,495$	No	1,450,000$	1,450,000$	1,450,000$	1,450,000$	Lien
Alex Killorn	Flyers	LW	33	1989-09-14	No	199 Lbs	6 ft1	No	No	No	4	Pro & Farm	3,929,000$	3,020,682$	3,487,800$	3,929,000$	3,020,683$	No	3,929,000$	3,929,000$	3,929,000$		Lien
Alexander Romanov	Flyers	D	22	2000-01-06	No	209 Lbs	6 ft1	No	No	No	5	Pro & Farm	1,177,500$	905,282$	1,177,500$	1,177,500$	905,282$	No	2,889,000$	2,889,000$	2,889,000$	2,889,000$	Lien
Anthony Stolarz	Flyers	G	28	1994-01-20	No	243 Lbs	6 ft6	No	No	No	5	Pro & Farm	923,000$	709,618$		923,000$	709,618$	No	4,825,000$	4,825,000$	4,825,000$	4,825,000$	Lien
Barclay Goodrow	Flyers	C/LW/RW	29	1993-02-26	No	204 Lbs	6 ft2	No	No	No	4	Pro & Farm	4,406,000$	3,387,408$	3,664,800$	4,406,000$	3,387,409$	No	4,406,000$	4,406,000$	4,406,000$		Lien
Brad Marchand	Flyers	LW	34	1988-05-11	No	182 Lbs	5 ft9	No	No	No	4	Pro & Farm	6,241,000$	4,798,188$	5,666,800$	6,241,000$	4,798,188$	No	6,241,000$	6,241,000$	6,241,000$		Lien
Brett Pesce	Flyers	D	28	1994-11-15	No	206 Lbs	6 ft3	No	No	No	5	Pro & Farm	956,000$	734,989$	809,000$	956,000$	734,989$	No	3,619,000$	3,619,000$	3,619,000$	3,619,000$	Lien
Connor McDavid	Flyers	C	25	1997-01-13	No	193 Lbs	6 ft1	No	No	No	5	Pro & Farm	8,263,000$	6,352,736$	8,509,400$	8,263,000$	6,352,737$	No	8,571,000$	8,571,000$	8,571,000$	8,571,000$	Lien
David Pastrnak	Flyers	RW	26	1996-05-25	No	195 Lbs	6 ft0	No	No	No	4	Pro & Farm	5,927,000$	4,556,779$	4,880,000$	5,927,000$	4,556,780$	No	5,927,000$	5,927,000$	5,927,000$		Lien
Devon Toews	Flyers	D	28	1994-02-21	No	191 Lbs	6 ft1	No	No	No	5	Pro & Farm	914,000$	702,698$		914,000$	702,699$	No	3,838,000$	3,838,000$	3,838,000$	3,838,000$	Lien
Henri Jokiharju	Flyers	D	23	1999-06-17	Yes	200 Lbs	6 ft0	No	No	No	4	Pro & Farm	2,617,000$	2,011,994$	2,349,433$	2,617,000$	2,011,995$	No	2,617,000$	2,617,000$	2,617,000$		Lien
Ivan Provorov	Flyers	D	25	1997-01-13	No	201 Lbs	6 ft1	No	No	No	2	Pro & Farm	2,902,000$	2,231,107$	2,000,000$	2,902,000$	2,231,108$	No	2,539,000$				Lien
Jack Roslovic	Flyers	C/RW	25	1997-01-29	No	193 Lbs	6 ft1	No	No	No	3	Pro & Farm	939,000$	721,919$	525,000$	939,000$	721,919$	No	939,000$	939,000$			Lien
Kevin Fiala	Flyers	C/LW/RW	26	1996-07-22	No	204 Lbs	5 ft10	No	No	No	5	Pro & Farm	700,000$	538,172$	1,394,000$	700,000$	538,172$	No	4,264,000$	4,264,000$	4,264,000$	4,264,000$	Lien
Logan O'Connor	Flyers	RW	26	1996-08-14	No	175 Lbs	6 ft0	No	No	No	4	Pro & Farm	3,060,000$	2,352,580$	2,578,000$	3,060,000$	2,352,581$	No	3,060,000$	3,060,000$	3,060,000$		Lien
Mark Friedman	Flyers	D	26	1995-12-25	No	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	918,000$	705,774$	650,000$	918,000$	705,774$	No	918,000$				Lien
Noah Gregor	Flyers	C/LW/RW	24	1998-07-28	Yes	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	850,000$	653,494$	768,334$	850,000$	653,495$	No					Lien
Oscar Klefbom	Flyers	D	29	1993-07-20	No	216 Lbs	6 ft3	No	No	No	1	Pro Only	9,618,180$	7,394,622$	9,618,180$	9,618,180$	7,394,622$	No					Lien
Paul Stastny	Flyers	C	36	1985-12-27	No	193 Lbs	6 ft0	No	No	No	3	Pro & Farm	2,543,000$	1,955,102$		2,543,000$	1,955,102$	No	3,482,000$	3,482,000$			Lien
Phillip Danault	Flyers	C	29	1993-02-24	No	200 Lbs	6 ft1	No	No	No	4	Pro & Farm	4,565,000$	3,509,650$	4,172,600$	4,565,000$	3,509,651$	No	4,565,000$	4,565,000$	4,565,000$		Lien
Sergei Bobrovsky	Flyers	G	34	1988-09-20	No	182 Lbs	6 ft2	No	No	No	3	Pro & Farm	2,501,000$	1,922,811$		2,501,000$	1,922,812$	No	2,501,000$	2,501,000$			Lien
Tom Wilson	Flyers	RW	28	1994-03-29	No	220 Lbs	6 ft4	No	No	No	3	Pro & Farm	5,786,000$	4,448,376$	525,000$	5,786,000$	4,448,376$	No	5,786,000$	5,786,000$			Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	27.70	200 Lbs	6 ft1	3.70	3,173,943$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
73,000,680$	78,781,000$	75,324,000$	62,616,000$	29,456,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Brad Marchand	Adam Ruzicka	Tom Wilson	30	1	2	2
2	Kevin Fiala	Phillip Danault	David Pastrnak	30	1	2	2
3	Alex Killorn	Paul Stastny	Jack Roslovic	26	1	2	2
4	Noah Gregor	Barclay Goodrow	Logan O'Connor	14	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ivan Provorov	Adam Larsson	32	1	3	1
2	Devon Toews	Brett Pesce	32	1	2	2
3	Henri Jokiharju	Alexander Romanov	26	1	3	1
4	Ivan Provorov	Devon Toews	10	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Brad Marchand	Adam Ruzicka	Tom Wilson	45	1	1	3
2	Kevin Fiala	Phillip Danault	David Pastrnak	55	1	1	3

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ivan Provorov	Devon Toews	60	1	1	3
2	Adam Larsson	Brett Pesce	40	1	1	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Barclay Goodrow	Logan O'Connor	55	1	3	1
2	Phillip Danault	Tom Wilson	45	1	3	1

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Devon Toews	Brett Pesce	47	1	4	0
2	Adam Larsson	Ivan Provorov	53	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Barclay Goodrow	45	0	5	0	Devon Toews	Brett Pesce	55	1	4	0
2	Phillip Danault	55	0	5	0	Adam Larsson	Ivan Provorov	45	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Adam Ruzicka	Brad Marchand	55	1	1	3
2	Phillip Danault	David Pastrnak	45	1	1	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ivan Provorov	Devon Toews	45	1	2	2
2	Adam Larsson	Brett Pesce	55	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Brad Marchand	Tom Wilson	David Pastrnak	Ivan Provorov	Devon Toews

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Barclay Goodrow	Phillip Danault	Logan O'Connor	Devon Toews	Brett Pesce

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Phillip Danault, Paul Stastny, Barclay Goodrow	Jack Roslovic, Alex Killorn	Alex Killorn

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Henri Jokiharju, Alexander Romanov, Adam Larsson	Henri Jokiharju	Alexander Romanov, Henri Jokiharju

Tirs de pénalité
Phillip Danault, David Pastrnak, Kevin Fiala, Brad Marchand, Jack Roslovic

Gardien
#1 : Sergei Bobrovsky, #2 : Anthony Stolarz

Lignes d’attaque personnalisées en prolongation
Logan O'Connor, Brad Marchand, Tom Wilson, David Pastrnak, Kevin Fiala, Phillip Danault, Phillip Danault, Barclay Goodrow, Alex Killorn, Paul Stastny, Jack Roslovic

Lignes de défense personnalisées en prolongation
Ivan Provorov, Devon Toews, Adam Larsson, Brett Pesce, Henri Jokiharju

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

	Total												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	Blue Jackets	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	5	6	11	0	0	1	2	2	0	58	13	25	20	0	57	15	10	33	7	1	14.29%	5	2	60.00%	0	319	645	49.46%	298	615	48.46%	168	298	56.38%	49	34	45	15	25	13
2	Blues	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	1	0	0	0	25	8	4	13	0	24	12	12	21	3	0	0.00%	6	1	83.33%	0	319	645	49.46%	298	615	48.46%	168	298	56.38%	22	15	24	6	12	6
3	Capitals	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	3	2	4	1.000	10	20	30	0	0	4	2	4	0	80	22	26	32	0	58	21	16	48	15	4	26.67%	8	2	75.00%	0	319	645	49.46%	298	615	48.46%	168	298	56.38%	50	36	44	14	24	12
4	Devils	2	2	0	0	0	0	0	0	11	5	6	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	5	3	2	4	1.000	11	21	32	0	0	5	2	4	0	83	35	22	26	0	46	13	16	50	5	0	0.00%	8	3	62.50%	0	319	645	49.46%	298	615	48.46%	168	298	56.38%	52	38	42	13	25	13
5	Hurricanes	2	0	1	0	1	0	0	0	8	8	0	1	0	1	0	0	0	0	0	3	4	-1	1	0	0	0	1	0	0	0	5	4	1	2	0.500	8	16	24	0	0	5	2	0	1	63	18	22	18	5	64	28	14	40	8	1	12.50%	7	2	71.43%	0	319	645	49.46%	298	615	48.46%	168	298	56.38%	51	37	46	13	23	12
6	Islanders	2	2	0	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	5	4	1	4	1.000	9	17	26	0	0	4	3	2	0	76	34	20	22	0	63	18	16	38	9	0	0.00%	8	2	75.00%	0	319	645	49.46%	298	615	48.46%	168	298	56.38%	50	37	45	14	23	11
7	Jets	1	0	0	0	0	1	0	0	3	4	-1	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	6	9	0	0	1	1	1	0	28	12	4	11	1	27	8	6	18	1	0	0.00%	3	1	66.67%	0	319	645	49.46%	298	615	48.46%	168	298	56.38%	23	16	27	8	13	6
8	Penguins	3	0	1	0	0	0	2	0	14	14	0	1	0	1	0	0	0	0	0	3	5	-2	2	0	0	0	0	0	2	0	11	9	2	4	0.667	14	23	37	0	0	4	5	3	3	92	32	22	29	15	118	23	28	80	6	1	16.67%	13	4	69.23%	1	319	645	49.46%	298	615	48.46%	168	298	56.38%	72	49	77	23	40	19
9	Rangers	3	2	0	0	0	0	1	0	15	8	7	2	1	0	0	0	0	1	0	12	6	6	1	1	0	0	0	0	0	0	3	2	1	6	1.000	15	26	41	0	0	5	4	5	2	128	49	41	37	3	67	22	20	53	15	5	33.33%	10	1	90.00%	0	319	645	49.46%	298	615	48.46%	168	298	56.38%	87	63	61	19	36	19
	Total	18	9	4	0	1	1	3	0	76	58	18	10	5	3	0	0	1	1	0	41	28	13	8	4	1	0	1	0	2	0	35	30	5	27	0.750	76	137	213	0	0	30	21	21	6	633	223	186	208	24	524	160	138	381	69	12	17.39%	68	18	73.53%	1	319	645	49.46%	298	615	48.46%	168	298	56.38%	461	329	414	129	225	116
	_Since Last GM Reset	18	9	4	0	1	1	3	0	76	58	18	10	5	3	0	0	1	1	0	41	28	13	8	4	1	0	1	0	2	0	35	30	5	27	0.750	76	137	213	0	0	30	21	21	6	633	223	186	208	24	524	160	138	381	69	12	17.39%	68	18	73.53%	1	319	645	49.46%	298	615	48.46%	168	298	56.38%	461	329	414	129	225	116
	_Vs Conference	16	9	3	0	1	0	3	0	72	52	20	8	5	2	0	0	0	1	0	37	22	15	8	4	1	0	1	0	2	0	35	30	5	26	0.813	72	129	201	0	0	28	20	20	6	580	203	178	184	23	473	140	120	342	65	12	18.46%	59	16	72.88%	1	319	645	49.46%	298	615	48.46%	168	298	56.38%	414	297	362	115	199	102
	_Vs Division	16	9	3	0	1	0	3	0	72	52	20	8	5	2	0	0	0	1	0	37	22	15	8	4	1	0	1	0	2	0	35	30	5	26	0.813	72	129	201	0	0	28	20	20	6	580	203	178	184	23	473	140	120	342	65	12	18.46%	59	16	72.88%	1	319	645	49.46%	298	615	48.46%	168	298	56.38%	414	297	362	115	199	102

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
18	27	L1	76	137	213	633	524	160	138	381	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	9	4	1	1	3	0	76	58

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	5	3	0	1	1	0	41	28

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	4	1	1	0	2	0	35	30

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
6	3	0	1	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
69	12	17.39%	68	18	73.53%	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
223	186	208	24	30	21	21	6

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
319	645	49.46%	298	615	48.46%	168	298	56.38%

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
461	329	414	129	225	116

Derniers matchs 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 - 2022-10-16	2	Devils	2	Flyers	6	BW			Sommaire du match
4 - 2022-10-19	26	Flyers	5	Hurricanes	4	AW	X		Sommaire du match
6 - 2022-10-21	43	Islanders	3	Flyers	4	BW			Sommaire du match
8 - 2022-10-23	58	Flyers	5	Islanders	4	AW			Sommaire du match
11 - 2022-10-26	74	Blue Jackets	1	Flyers	4	BW			Sommaire du match
14 - 2022-10-29	99	Flyers	5	Penguins	4	AW	X	X	Sommaire du match
16 - 2022-10-31	107	Penguins	5	Flyers	3	BL			Sommaire du match
18 - 2022-11-02	120	Flyers	5	Capitals	3	AW			Sommaire du match
20 - 2022-11-04	126	Flyers	5	Devils	3	AW			Sommaire du match
22 - 2022-11-06	149	Capitals	1	Flyers	5	BW			Sommaire du match
24 - 2022-11-08	167	Flyers	1	Blue Jackets	5	AL			Sommaire du match
25 - 2022-11-09	181	Jets	4	Flyers	3	BL	X		Sommaire du match
29 - 2022-11-13	201	Rangers	4	Flyers	5	BW	X	X	Sommaire du match
33 - 2022-11-17	223	Flyers	3	Rangers	2	AW			Sommaire du match
36 - 2022-11-20	236	Hurricanes	4	Flyers	3	BL			Sommaire du match
38 - 2022-11-22	258	Rangers	2	Flyers	7	BW			Sommaire du match
39 - 2022-11-23	270	Flyers	6	Penguins	5	AW	X	X	Sommaire du match
43 - 2022-11-27	292	Blues	2	Flyers	1	BL			Sommaire du match
45 - 2022-11-29	309	Flyers	-	Panthers	-
48 - 2022-12-02	330	Islanders	-	Flyers	-
51 - 2022-12-05	350	Flyers	-	Rangers	-
52 - 2022-12-06	363	Sabres	-	Flyers	-
57 - 2022-12-11	386	Rangers	-	Flyers	-
59 - 2022-12-13	402	Flyers	-	Flames	-
62 - 2022-12-16	421	Islanders	-	Flyers	-
64 - 2022-12-18	447	Maple Leafs	-	Flyers	-
66 - 2022-12-20	463	Flyers	-	Sabres	-
68 - 2022-12-22	473	Flyers	-	Canucks	-
70 - 2022-12-24	484	Hurricanes	-	Flyers	-
74 - 2022-12-28	498	Flyers	-	Sabres	-
76 - 2022-12-30	510	Flyers	-	Kings	-
77 - 2022-12-31	523	Senateurs	-	Flyers	-
80 - 2023-01-03	544	Flyers	-	Capitals	-
83 - 2023-01-06	554	Penguins	-	Flyers	-
85 - 2023-01-08	571	Flyers	-	Devils	-
86 - 2023-01-09	584	Canadiens	-	Flyers	-
88 - 2023-01-11	603	Penguins	-	Flyers	-
91 - 2023-01-14	613	Flyers	-	Ducks	-
92 - 2023-01-15	635	Predateurs	-	Flyers	-
94 - 2023-01-17	651	Flyers	-	Flames	-
97 - 2023-01-20	670	Flyers	-	Canucks	-
99 - 2023-01-22	679	Lightnings	-	Flyers	-
101 - 2023-01-24	697	Flyers	-	Canadiens	-
102 - 2023-01-25	713	Coyotes	-	Flyers	-
104 - 2023-01-27	732	Flyers	-	Avalanches	-
106 - 2023-01-29	743	Panthers	-	Flyers	-
107 - 2023-01-30	758	Flyers	-	Wild	-
109 - 2023-02-01	777	Wild	-	Flyers	-
111 - 2023-02-03	790	Flyers	-	Blackhawks	-
113 - 2023-02-05	803	Flyers	-	Rangers	-
115 - 2023-02-07	816	Flyers	-	Senateurs	-
116 - 2023-02-08	821	Devils	-	Flyers	-
121 - 2023-02-13	847	Kraken	-	Flyers	-
122 - 2023-02-14	867	Flyers	-	Blue Jackets	-
126 - 2023-02-18	881	Jets	-	Flyers	-
128 - 2023-02-20	901	Blackhawks	-	Flyers	-
130 - 2023-02-22	924	Flyers	-	Stars	-
131 - 2023-02-23	933	Panthers	-	Flyers	-
136 - 2023-02-28	955	Flyers	-	Capitals	-
137 - 2023-03-01	969	Hurricanes	-	Flyers	-
139 - 2023-03-03	982	Flyers	-	Jets	-
142 - 2023-03-06	1001	Devils	-	Flyers	-
145 - 2023-03-09	1023	Flyers	-	Devils	-
146 - 2023-03-10	1033	Bruins	-	Flyers	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2023-03-13	1056	Flyers	-	Penguins	-
150 - 2023-03-14	1062	Flyers	-	Blue Jackets	-
151 - 2023-03-15	1070	Capitals	-	Flyers	-
153 - 2023-03-17	1085	Flyers	-	Lightnings	-
155 - 2023-03-19	1098	Capitals	-	Flyers	-
157 - 2023-03-21	1107	Flyers	-	Red Wings	-
159 - 2023-03-23	1128	Flyers	-	Maple Leafs	-
161 - 2023-03-25	1139	Oilers	-	Flyers	-
163 - 2023-03-27	1150	Flyers	-	Bruins	-
165 - 2023-03-29	1174	Sharks	-	Flyers	-
170 - 2023-04-03	1198	Red Wings	-	Flyers	-
173 - 2023-04-06	1223	Golden Knights	-	Flyers	-
174 - 2023-04-07	1233	Flyers	-	Islanders	-
176 - 2023-04-09	1240	Flyers	-	Hurricanes	-
178 - 2023-04-11	1259	Flyers	-	Islanders	-
180 - 2023-04-13	1268	Flyers	-	Hurricanes	-
181 - 2023-04-14	1279	Blue Jackets	-	Flyers	-
184 - 2023-04-17	1301	Blue Jackets	-	Flyers	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	5000	4000	3000	4000	1000
Prix des billets	200	150	120	75	350
Assistance	0	0	0	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
31	0 - 0.00%	0$	0$	17000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	73,000,680$	55,923,513$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
73,000,680$	0$	0$	22	1

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	143	392,477$	56,124,211$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
58,426,225$	93,730,662$	38,293,671$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
73,000,680$	9,499,320$	82,500,000$	12,500,680$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Brad Marchand	AGE:34	PO:0	OV:83
Kevin Fiala	AGE:26	PO:0	OV:78
Barclay Goodrow	AGE:29	PO:0	OV:77
Alex Killorn	AGE:33	PO:0	OV:77
Noah Gregor (R)	AGE:24	PO:0	OV:71
Joachim Blichfeld	AGE:24	PO:0	OV:69
Dylan Holloway	AGE:21	PO:0	OV:68
Gerald Mayhew	AGE:29	PO:0	OV:68
Gage Quinney	AGE:27	PO:0	OV:66
Ben McCartney	AGE:21	PO:0	OV:65
Tye Felhaber	AGE:24	PO:0	OV:60

Connor McDavid	AGE:25	PO:0	OV:86
Kevin Fiala	AGE:26	PO:0	OV:78
Phillip Danault	AGE:29	PO:0	OV:78
Barclay Goodrow	AGE:29	PO:0	OV:77
Paul Stastny	AGE:36	PO:0	OV:76
Jack Roslovic	AGE:25	PO:0	OV:75
Adam Ruzicka	AGE:23	PO:0	OV:72
Noah Gregor (R)	AGE:24	PO:0	OV:71
Andrew Poturalski	AGE:28	PO:0	OV:69
Glenn Gawdin	AGE:25	PO:0	OV:68
Dylan Holloway	AGE:21	PO:0	OV:68
Ben Jones	AGE:23	PO:0	OV:66
David Cotton	AGE:25	PO:0	OV:65
Jamieson Rees	AGE:21	PO:0	OV:63
Aarne Talvitie	AGE:23	PO:0	OV:62

David Pastrnak	AGE:26	PO:0	OV:80
Tom Wilson	AGE:28	PO:0	OV:80
Kevin Fiala	AGE:26	PO:0	OV:78
Barclay Goodrow	AGE:29	PO:0	OV:77
Jack Roslovic	AGE:25	PO:0	OV:75
Logan O'Connor	AGE:26	PO:0	OV:74
Noah Gregor (R)	AGE:24	PO:0	OV:71
Vasily Podkolzin	AGE:21	PO:0	OV:70
Joachim Blichfeld	AGE:24	PO:0	OV:69
Gerald Mayhew	AGE:29	PO:0	OV:68
Riley Barber	AGE:28	PO:0	OV:67
Michal Teply	AGE:21	PO:0	OV:65
Tyce Thompson	AGE:23	PO:0	OV:65
Jonathan Davidsson	AGE:25	PO:0	OV:63
Lukas Rousek	AGE:23	PO:0	OV:62

Défense #1

Défense #2

Gardien

Ivan Provorov	AGE:25	PO:0	OV:80
Devon Toews	AGE:28	PO:0	OV:79
Adam Larsson	AGE:30	PO:0	OV:77
Brett Pesce	AGE:28	PO:0	OV:76
Henri Jokiharju (R)	AGE:23	PO:0	OV:74
Alexander Romanov	AGE:22	PO:0	OV:74
Josh Mahura	AGE:24	PO:0	OV:70
Mark Friedman	AGE:26	PO:0	OV:70
Kurtis MacDermid	AGE:28	PO:0	OV:69

Jakub Galvas	AGE:23	PO:0	OV:67
Santeri Hatakka	AGE:21	PO:0	OV:67
Dmitri Samorukov	AGE:23	PO:0	OV:66
Ryan O'Rourke	AGE:20	PO:0	OV:63
Cavan Fitzgerald	AGE:26	PO:0	OV:63
Brennan Menell	AGE:25	PO:0	OV:62
Matthew Kessel (R)	AGE:22	PO:0	OV:61
Oscar Klefbom	AGE:29	PO:0	OV:7

Sergei Bobrovsky	AGE:34	PO:0	OV:93
Anthony Stolarz	AGE:28	PO:0	OV:85
Ken Appleby	AGE:27	PO:0	OV:75
Adam Scheel	AGE:23	PO:0	OV:72
Ryan Fanti	AGE:23	PO:0	OV:69
Kirill Ustimenko	AGE:23	PO:0	OV:68

Espoirs

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total
Adam Edstrom	Flyers	2020	126
Arseny Gritsyuk	Flyers	2020	152
Blake Murray	Flyers	2020	106
Braden Doyle	Flyers	2020	169
Brendan Brisson	Flyers	2021	26
Carson Lambos	Flyers	2022	26
Carter Mazur	Flyers	2022	57
Dmitry Ovchinnikov	Flyers	2021	150
Eetu Liuksas	Flyers	2022	138
Ethan Haider	Flyers	2020	188
Frederick Dichow	Flyers	2020	167
Gustav Berglund	Flyers	2020	157
Henri Thrun	Flyers	2020	96
Jakub Demek	Flyers	2022	97
Jakub Malek	Flyers	2022	154
Joel Nystrom	Flyers	2022	92
Josh Bloom	Flyers	2022	90
Kirill Slepets	Flyers	2020	133
Levi Merilainen	Flyers	2021	57
Liam Dower-Nilsson	Flyers	2022	100
Martin Chromiak	Flyers	2021	109
Oskar Magnusson	Flyers	2021	212
Ryan Tverberg	Flyers	2021	181
Sam Lipkin	Flyers	2022	164
Scott Morrow	Flyers	2022	46
Tomas Mazura	Flyers	2020	183
Ty Voit	Flyers	2022	76

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2023
2024
2025
2026
2027

La base de données des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.

[2022-11-19 18:19:07] - Riley Barber has been selected as assistant for Phantoms.
[2022-11-19 18:19:07] - Unknown Player is no longer as assistant for Phantoms.
[2022-11-19 18:19:07] - Kurtis MacDermid has been selected as assistant for Phantoms.
[2022-11-19 18:19:07] - Unknown Player is no longer as assistant for Phantoms.
[2022-11-19 18:19:07] - Gerald Mayhew has been selected as captain for Phantoms.
[2022-11-19 18:19:07] - Unknown Player is no longer captain for Phantoms.
[2022-10-05 17:14:52] - Phantoms hired Rémi Girard for 0 $ for 5 year(s).
[2022-10-05 17:14:41] - Flyers hired Jon Cooper for 0 $ for 4 year(s).
[2022-10-05 17:14:24] - Flyers fired Rémi Girard.
[2022-10-05 17:13:57] - Flyers hired Rémi Girard for 0 $ for 5 year(s).
[2022-10-05 17:11:25] - Phantoms fired Michel Bergeron.
[2022-10-05 17:11:20] - Flyers fired Jon Cooper.
[2022-09-25 16:35:35] - Paul Stastny has been selected as assistant for Flyers.
[2022-09-25 16:35:35] - Unknown Player is no longer as assistant for Flyers.
[2022-09-19 16:46:30] - Oscar Klefbom signed with Flyers for 9 618 180 $ for 1 year(s).
[2022-09-19 16:46:30] - Oscar Klefbom was added to Flyers.
[2022-09-18 20:09:07] - Oscar Klefbom was released.
[2022-09-18 20:09:07] - Flyers paid 9 618 180 $ to release Oscar Klefbom.
[2022-09-17 16:50:31] - TRADE : From Flyers to Capitals : Tyler Seguin (77).
[2022-09-17 16:50:31] - TRADE : From Capitals to Flyers : Adam Larsson (77), Paul Stastny (76).
[2022-09-05 09:53:43] - Tyler Seguin has been selected as assistant for Flyers.
[2022-09-05 09:53:43] - Unknown Player is no longer as assistant for Flyers.
[2022-08-31 22:36:59] - Ryan Fanti signed with Flyers for 950 000 $ for 4 year(s).
[2022-08-31 22:36:59] - Ryan Fanti was added to Flyers.
[2022-08-29 18:11:40] - Adam Scheel signed with Flyers for 910 000 $ for 3 year(s).
[2022-08-29 18:11:40] - Adam Scheel was added to Flyers.
[2022-08-24 16:31:32] - C.J. Smith was released.
[2022-08-24 16:31:32] - Joseph Blandisi was released.
[2022-08-24 16:31:23] - Nolan Stevens was released.
[2022-08-24 16:31:23] - Dmitry Sokolov was released.
[2022-07-17 19:58:25] - Sheldon Dries was released.

[2022-11-25 16:09:05] Auto Lines Partial Function has been run for Phantoms.
[2022-11-25 16:09:05] Phantoms (Flyers) lines errors : Normal line # 1 C is empty. Normal line # 1 RW is empty. Unknown Player is used twice in Normal line #1 Normal line # 4 RW is empty. PP line2 C is empty. PP line2 RW is empty. PK line 2 C is empty. 4 vs 4 line 2 C is empty. 4 vs 4 line 2 LW is empty. Unknown Player is used twice in PP line#2 Unknown Player is used twice in 4 vs 4 line#2 LastMinOff line C is empty. LastMinDef line C is empty. LastMinOff line RW is empty. Unknown Player is used twice in LastMinOff line Penalty Shot Player #1 is empty. Penalty Shot Player #3 is empty. Extra Forward #5 is empty. Unknown Player is used twice in Extra Penalty Shot OT Forward #1 is empty. OT Forward #2 is empty. Unknown Player is used twice in OT Forward
[2022-11-25 16:09:05] Auto Lines Partial Function has been run for Flyers.
[2022-11-25 16:09:05] Flyers lines errors : Normal line # 4 LW is empty.
[2022-11-25 16:09:05] Auto Roster Partial Function has been run for Flyers.
[2022-11-25 16:09:05] Phantoms roster errors : Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2022-11-22 18:03:41] Vasily Podkolzin from Phantoms is back from Exhaustion.
[2022-11-22 16:54:00] Vasily Podkolzin from Phantoms is injured from Exhaustion.
[2022-11-22 16:54:00] Pro Game #270 - Brad Marchand from Flyers has scored a Hat Trick!
[2022-11-22 16:53:48] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2022-11-22 16:53:03] Auto Lines Partial Function has been run for Phantoms.
[2022-11-22 16:53:03] Phantoms (Flyers) lines errors : Normal line # 1 C is empty. Normal line # 4 LW is empty. PP line2 C is empty. PK line 2 C is empty. 4 vs 4 line 2 C is empty. LastMinOff line C is empty. LastMinDef line C is empty. Penalty Shot Player #1 is empty. Extra Forward #5 is empty. OT Forward #1 is empty.
[2022-11-22 16:53:03] Auto Lines Partial Function has been run for Flyers.
[2022-11-22 16:53:03] Flyers lines errors : Normal line # 2 Defense #2 is empty. Normal line # 4 LW is empty. 4 vs 4 line 1 Defense #1 is empty. LastMinDef line Defense #3 is empty. LastMinOff line Defense #3 is empty.
[2022-11-22 16:53:03] Auto Roster Partial Function has been run for Flyers.
[2022-11-22 16:53:03] 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. Some errors will be automatically fixed.
[2022-11-22 16:52:59] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2022-11-22 16:52:30] Auto Lines Partial Function has been run for Phantoms.
[2022-11-22 16:52:30] Phantoms (Flyers) lines errors : Normal line # 1 C is empty. Normal line # 4 LW is empty. PP line2 C is empty. PK line 2 C is empty. 4 vs 4 line 2 C is empty. LastMinOff line C is empty. LastMinDef line C is empty. Penalty Shot Player #1 is empty. Extra Forward #5 is empty. OT Forward #1 is empty.
[2022-11-22 16:52:30] Auto Lines Partial Function has been run for Flyers.
[2022-11-22 16:52:30] Flyers lines errors : Normal line # 2 Defense #2 is empty. Normal line # 4 LW is empty. Normal line # 4 Defense #4 is empty. Unknown Player is used twice in Normal line #4 PK line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. PP line 1 Defense #1 is empty. 4 vs 4 line 1 Defense #1 is empty. LastMinDef line Defense #3 is empty. LastMinOff line Defense #3 is empty. OT Defense #2 is empty.
[2022-11-22 16:52:30] Auto Roster Partial Function has been run for Flyers.
[2022-11-22 16:52:30] 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. Some errors will be automatically fixed.
[2022-11-22 16:52:11] Game 258 - Devon Toews from Flyers is injured (Right Leg) and is out for 1 week.
[2022-11-22 16:52:04] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2022-11-22 16:52:04] Adam Ruzicka of Flyers was sent to pro.
[2022-11-21 17:06:09] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2022-11-19 18:19:07] Successfully loaded Flyers lines done with STHS Client - 3.3.1.1

Oscar Klefbom est suspendu indéfiniment.

Flyers Leaders statistiques (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Flyers Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Flyers Statistiques de l'Équipe de Carrière

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	Total											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

Flyers Leaders statistiques (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Flyers Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Flyers
	GP: 18 \| W: 13 \| L: 4 \| OTL: 1 \| P: 27 GF: 76 \| GA: 58 \| PP%: 17.39% \| PK%: 73.53% DG: Frank Grimard \| Morale : 50 \| Moyenne d’équipe : 75 Prochain matchs #309 vs Panthers