Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension

Centre de jeu
	Coyotes 43-24-11, 97pts	5	FINAL	3	Flyers 23-49-7, 53pts

Team Stats
SOW1	Séquence	L3
25-9-5	Fiche domicile	13-21-5
18-15-6	Fiche visiteur	10-28-2
5-3-2	Derniers 10 matchs	4-6-0
3.24	Buts par match	2.61
2.88	Buts contre par match	3.51
23.96%	Pourcentage en avantage numérique	13.66%
80.93%	Pourcentage en désavantage numérique	76.03%

Sharks
53-20-5, 111pts

FINAL

Flyers
23-49-7, 53pts

Team Stats
W2	Séquence	L3
25-12-2	Fiche domicile	13-21-5
28-8-3	Fiche visiteur	10-28-2
8-2-0	Derniers 10 matchs	4-6-0
3.54	Buts par match	2.61
2.67	Buts contre par match	3.51
20.21%	Pourcentage en avantage numérique	13.66%
80.26%	Pourcentage en désavantage numérique	76.03%

Blue Jackets
48-24-6, 102pts

Jour 122

Flyers
23-49-7, 53pts

Statistiques d’équipe
W1	Séquence	L3
22-13-4	Fiche domicile	13-21-5
26-11-2	Fiche visiteur	10-28-2
6-3-1	10 derniers matchs	4-6-0
3.06	Buts par match	2.61
2.55	Buts contre par match	2.61
22.17%	Pourcentage en avantage numérique	13.66%
85.40%	Pourcentage en désavantage numérique	76.03%

Blue Jackets
48-24-6, 102pts

Jour 126

Flyers
23-49-7, 53pts

Statistiques d’équipe
W1	Séquence	L3
22-13-4	Fiche domicile	13-21-5
26-11-2	Fiche visiteur	10-28-2
6-3-1	10 derniers matchs	4-6-0
3.06	Buts par match	2.61
2.55	Buts contre par match	2.61
22.17%	Pourcentage en avantage numérique	13.66%
85.40%	Pourcentage en désavantage numérique	76.03%

Flyers
23-49-7, 53pts

Jour 127

Capitals
38-32-8, 84pts

Statistiques d’équipe
L3	Séquence	W1
13-21-5	Fiche domicile	18-17-4
10-28-2	Fiche visiteur	20-15-4
4-6-0	10 derniers matchs	5-2-3
2.61	Buts par match	3.13
3.51	Buts contre par match	3.13
13.66%	Pourcentage en avantage numérique	18.72%
76.03%	Pourcentage en désavantage numérique	85.82%

Meneurs d'équipe
	Buts Nick Bonino 23	Passes Nic Dowd 49

	Points Nic Dowd 71	Plus/Moins Dylan DeMelo 13

	Victoires Karel Vejmelka 14	Pourcentage d’arrêts Jordan Binnington 0.904

Statistiques d’équipe
Buts pour 206 2.61 GFG	Tirs pour 2397 30.34 Avg	Pourcentage en avantage numérique 13.7% 31 GF	Début de zone offensive 36.7%
Buts contre 277 3.51 GAA	Tirs contre 2745 34.75 Avg	Pourcentage en désavantage numérique 76.0%% 58 GA	Début de la zone défensive 37.8%

Informations de l'équipe
	Directeur général	Alexandre Gagne
	Entraîneur	Gerard Gallant
	Division	Sud-Est
	Conférence	Est
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Wells Fargo Center
	Capacité	24,168
	Assistance	19,277
	Billets de saison	12,084
Informations de la formation
	Équipe Pro	24
	Équipe Mineure	26
	Limite contact	50 / 50
	Espoirs	114
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	62,500,000$
	Plafond salarial disponible	13,463,083$
	Valeur du plafond salarial spécial	3,000,000$
	Joueurs Inclus dans le plafond salarial	24
Finance
	Revenu annuel à ce jour	59,336,206$
	Dépenses annuelles à ce jour	61,833,752$
	Revenus de la saison estimés	3,042,882$
	Dépenses de la saison estimées	4,324,221$
	Compte bancaire actuel	137,448,645$
	Compte bancaire projeté	136,167,306$

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	Jared McCann	X	X			100.00	71	43	93	81	69	73	93	81	38	79	94	73	63	71	72	0	30	75	0	26	3	4,000,000$
2	Anders Lee	X	X			100.00	80	59	82	83	85	76	96	86	53	72	85	59	25	76	76	0	25	73	0	32	3	4,000,000$
3	Nick Bonino	X	X			100.00	61	41	86	80	72	73	88	71	74	62	70	88	71	79	84	0	29	71	0	34	4	1,700,000$
4	Kyle Palmieri		X	X		100.00	79	44	86	83	67	76	79	77	37	75	80	60	63	77	80	0	26	71	0	31	4	3,000,000$
5	Dominik Kubalik		X	X		100.00	76	43	90	86	67	69	97	78	43	75	76	64	25	65	65	0	29	70	0	27	2	1,500,000$
6	Eetu Luostarinen	X	X			100.00	71	43	89	81	70	73	97	64	59	76	72	80	25	63	64	0	28	70	0	24	2	1,750,000$
7	Ryan Strome	X		X		100.00	63	64	73	84	72	75	95	76	78	76	71	63	47	75	76	0	15	70	0	29	3	4,250,000$
8	Jason Zucker		X	X		100.00	90	55	82	76	69	72	77	72	32	72	85	60	41	74	77	0	28	69	0	30	2	3,000,000$
9	Nic Dowd	X				99.00	86	45	87	77	72	65	82	62	89	64	72	87	25	68	70	0	29	69	0	32	4	2,000,000$
10	Kailer Yamamoto			X		100.00	78	42	87	86	54	74	87	65	39	71	70	78	25	64	66	0	30	68	0	24	1	1,700,000$
11	Max Pacioretty		X			100.00	85	79	68	82	79	47	48	72	80	73	83	55	42	80	84	0	26	67	0	34	4	3,600,000$
12	Logan O'Connor		X	X		100.00	79	53	86	77	66	68	99	59	30	66	60	84	25	63	65	0	21	66	0	26	1	1,500,000$
13	Adam Pelech				X	99.00	78	45	83	77	80	84	87	63	25	59	50	93	25	68	71	0	28	73	0	28	3	4,000,000$
14	Dylan DeMelo				X	100.00	81	44	81	80	70	79	92	59	25	62	49	87	25	71	72	0	77	72	0	29	1	2,750,000$
15	Luke Schenn				X	100.00	99	98	67	72	85	70	85	58	25	60	48	83	25	82	84	0	16	72	0	33	3	2,000,000$
16	TJ Brodie				X	100.00	71	43	91	82	69	83	74	59	25	55	48	88	25	81	84	0	29	71	0	32	1	3,000,000$
17	Nate Schmidt				X	100.00	67	42	96	84	70	76	91	70	25	52	50	76	25	72	72	0	25	69	0	31	3	2,500,000$
18	Jaycob Megna				X	100.00	81	57	88	68	85	77	77	62	25	54	47	78	25	61	61	0	24	67	0	30	3	2,000,000$
Rayé
1	Dillon Dube	X	X	X		100.00	82	54	83	85	68	70	98	66	44	76	73	68	25	65	66	0	21	69	0	24	1	1,000,000$
2	Jordan Martinook		X	X		100.00	75	53	79	79	72	72	88	60	42	71	70	79	25	72	74	0	20	68	0	30	4	2,000,000$
3	Colin Blackwell	X		X		100.00	73	43	96	76	67	61	73	62	47	62	56	80	59	65	66	0	20	64	0	29	2	2,000,000$
Équipe Mineure
1	John-Jason Peterka (R)		X	X		100.00	59	41	92	80	69	72	95	76	32	75	83	64	25	59	59	0	55	70	0	20	2	855,833$
2	Philip Tomasino		X	X		100.00	73	43	93	78	67	70	90	77	54	80	70	61	63	57	58	0	53	69	0	21	2	863,333$
3	Seth Jarvis			X		100.00	73	42	94	84	63	73	92	73	35	75	70	63	25	60	61	0	50	68	0	20	2	894,167$
4	Kirill Marchenko (R)			X		100.00	67	42	91	79	71	73	75	81	53	57	86	67	75	50	50	0	49	68	0	22	3	925,000$
5	Lukas Reichel (R)	X	X			100.00	61	41	91	75	64	74	88	76	37	77	81	64	25	47	47	0	50	68	0	20	2	925,000$
6	Kent Johnson (R)	X	X			100.00	59	40	93	76	63	67	77	71	40	75	72	59	75	55	55	0	57	66	0	20	3	925,000$
7	Adam Ruzicka		X			100.00	67	43	93	74	83	59	62	72	58	76	66	61	25	53	53	0	49	65	0	23	2	762,500$
8	Ryan Lomberg		X			100.00	83	76	71	76	67	59	86	59	45	60	68	69	25	61	62	0	57	64	0	28	2	1,000,000$
9	Filip Zadina		X	X		100.00	69	42	89	80	68	65	70	68	34	61	59	69	25	62	62	0	49	64	0	23	1	1,500,000$
10	Vasily Podkolzin		X	X		100.00	78	58	92	78	71	62	90	62	39	58	59	61	25	58	58	0	49	63	0	21	2	925,000$
11	Nils Aman (R)	X				100.00	67	42	91	64	67	63	85	58	67	64	57	76	25	52	52	0	50	62	0	22	4	1,200,000$
12	Tyson Foerster (R)	X		X		100.00	73	72	76	63	72	63	64	63	79	60	62	64	59	45	45	0	55	60	0	20	3	863,333$
13	Kaiden Guhle (R)				X	100.00	84	58	82	77	77	81	62	62	25	65	50	88	25	55	55	0	21	70	0	20	3	863,333$
14	Timothy Liljegren				X	100.00	81	44	86	78	70	74	82	61	25	53	50	80	25	59	60	0	49	68	0	23	2	1,250,000$
15	Connor Carrick				X	100.00	71	69	76	77	69	72	77	57	25	54	42	66	40	65	65	0	51	64	0	28	3	750,000$
16	Vladislav Kolyachonok				X	100.00	72	69	79	77	69	77	85	49	25	43	40	60	38	47	47	0	46	61	0	21	2	789,167$
17	Matt Kiersted (R)				X	100.00	69	42	90	71	67	53	87	58	25	51	48	67	25	45	45	0	56	61	0	24	3	762,500$
18	Evgeni Dadonov		X	X		100.00	65	41	91	82	67	68	93	73	31	78	59	63	38	71	72	0	12	67	0	33	1	3,250,000$
19	Josh Archibald		X	X		100.00	96	56	80	78	64	56	56	61	31	60	59	80	25	66	68	0	55	64	0	30	3	900,000$
20	Michael Eyssimont (R)	X		X		100.00	85	79	68	69	71	63	78	68	37	65	59	69	25	49	49	0	48	63	0	26	3	1,000,000$
21	Samuel Fagemo (R)		X	X		100.00	77	70	94	70	70	77	82	59	50	47	67	65	64	45	45	0	48	61	0	22	2	795,000$
22	Ross Johnston		X			100.00	86	99	40	68	92	51	49	56	25	61	55	64	25	57	57	0	54	59	0	28	2	900,000$
23	Kieffer Bellows		X	X		100.00	82	44	92	74	71	54	61	60	32	50	60	62	25	56	56	0	56	59	0	24	2	900,000$
24	Jake Muzzin				X	100.00	86	80	80	77	80	48	50	53	59	51	45	78	37	76	80	0	9	65	0	33	1	3,000,000$
25	Kurtis MacDermid		X		X	100.00	85	99	67	69	90	48	68	55	25	49	47	70	25	62	62	0	48	63	0	28	2	900,000$

	MOYENNE D’ÉQUIPE					99.90	77	52	84	80	72	72	86	68	45	67	67	75	35	71	73	0	27	70

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	Karel Vejmelka	99.00	68	81	77	81	72	64	83	68	65	68	75	56	56	0	30	69	0	26	3	2,000,000$
2	Jordan Binnington	100.00	68	79	77	65	66	70	69	70	65	68	85	64	67	0	40	67	0	29	1	1,250,000$
Rayé
1	Daniel Vladar	100.00	62	55	54	80	65	58	79	63	65	62	75	48	49	0	31	62	0	25	4	3,000,000$
Équipe Mineure
1	Erik Kallgren (R)	100.00	64	55	54	75	75	52	72	64	65	63	75	46	47	0	38	62	0	26	3	2,500,000$

	MOYENNE D’ÉQUIPE	99.67	66	72	69	75	68	64	77	67	65	66	78	56	57	0	34	66

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Gerard Gallant	88	91	89	89	93	88	1	CAN	60	2	2,000,000$

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	PIM5	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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Nic Dowd	Flyers	C	79	22	49	71	-10	37	5	126	161	171	45	106	12.87%	43	1545	19.57	2	15	17	20	208	0	0	0	0	0	1	5	50.27%	2065	34	33	0	0	0.92	1	4	0	0	1	5	4	1
2	Anders Lee	Flyers	C/LW	79	22	23	45	-4	28	10	94	65	183	66	105	12.02%	19	993	12.58	1	2	3	6	88	0	0	0	2	63	2	2	43.33%	420	38	14	0	0	0.91	1	7	0	1	1	2	2	1
3	Jared McCann	Flyers	C/LW	79	16	27	43	-27	14	0	97	133	211	69	116	7.58%	42	1467	18.58	11	11	22	40	211	0	1	1	8	194	2	2	31.43%	948	41	30	0	0	0.59	1	10	0	0	0	1	5	0
4	Nick Bonino	Flyers	C/LW	79	23	10	33	-9	17	5	68	112	136	43	89	16.91%	29	1155	14.63	8	3	11	23	179	1	1	2	10	180	2	0	47.36%	492	20	26	0	0	0.57	1	4	1	0	0	0	2	3
5	Jason Zucker	Flyers	LW/RW	79	15	16	31	-16	24	0	126	88	159	50	100	9.43%	32	1259	15.94	1	1	2	2	95	0	0	0	2	48	1	1	32.95%	88	37	20	0	1	0.49	0	1	0	0	0	1	1	2
6	Kailer Yamamoto	Flyers	RW	78	11	20	31	-7	30	0	86	72	189	54	124	5.82%	27	1167	14.97	0	0	0	0	17	0	0	0	0	0	0	0	33.33%	78	39	19	0	0	0.53	0	0	0	0	0	0	1	1
7	Dominik Kubalik	Flyers	LW/RW	79	15	13	28	-28	12	0	123	93	156	46	90	9.62%	30	1384	17.53	1	4	5	7	170	1	0	1	4	119	1	0	26.15%	65	38	24	1	0	0.40	2	6	0	0	0	1	2	1
8	Nate Schmidt	Flyers	D	79	3	25	28	-20	7	5	55	116	83	40	32	3.61%	96	1806	22.87	1	6	7	6	247	1	1	2	4	247	1	0	0%	0	16	61	0	0	0.31	0	0	0	1	0	0	1	0
9	Kyle Palmieri	Flyers	LW/RW	73	12	14	26	-14	38	0	85	59	140	46	88	8.57%	28	949	13.00	3	0	3	6	34	0	0	0	2	26	0	1	38.00%	50	39	18	0	0	0.55	2	6	0	0	0	1	0	2
10	Max Pacioretty	Flyers	LW	78	8	18	26	-6	45	5	76	34	154	53	98	5.19%	10	744	9.54	0	0	0	0	0	0	0	0	0	0	0	0	43.48%	23	44	6	0	0	0.70	0	2	1	0	0	1	1	0
11	Adam Pelech	Flyers	D	79	6	19	25	-21	87	5	115	150	98	48	56	6.12%	134	2110	26.71	2	3	5	9	235	0	0	0	2	197	1	0	0%	0	14	65	0	0	0.24	0	0	1	0	0	0	2	3
12	TJ Brodie	Flyers	D	79	1	15	16	-16	24	0	72	131	61	21	32	1.64%	100	1651	20.90	0	0	0	1	154	0	1	1	2	144	0	0	0%	0	13	51	0	0	0.19	0	0	0	0	0	0	0	0
13	Dylan DeMelo	Flyers	D	78	2	13	15	13	38	0	88	110	70	25	36	2.86%	96	1471	18.86	0	0	0	0	3	0	0	0	2	165	0	0	0%	0	7	55	0	0	0.20	0	0	0	0	0	0	1	0
14	Eetu Luostarinen	Flyers	C/LW	79	6	8	14	-6	13	5	57	51	85	27	44	7.06%	12	808	10.24	0	1	1	0	6	0	0	0	0	10	2	0	25.93%	27	15	10	0	0	0.35	0	0	1	0	0	0	1	0
15	Dillon Dube	Flyers	C/LW/RW	41	5	9	14	8	8	0	48	34	38	8	30	13.16%	10	399	9.75	0	0	0	0	15	0	0	0	2	31	3	1	29.20%	137	8	11	0	0	0.70	0	0	0	0	0	0	2	1
16	Jaycob Megna	Flyers	D	79	2	11	13	-5	6	0	40	85	37	16	14	5.41%	70	1081	13.69	0	0	0	0	9	0	0	0	0	47	0	0	0%	0	2	22	0	0	0.24	0	0	0	0	0	0	0	0
17	Kaiden Guhle	Philadelphie (Phi)	D	65	0	13	13	-1	25	5	41	70	27	15	14	0%	52	836	12.86	0	0	0	1	1	0	0	0	0	4	0	0	0%	0	3	27	0	0	0.31	0	1	0	0	1	0	0	0
18	Ryan Strome	Flyers	C/RW	34	3	8	11	-6	22	0	23	24	76	38	49	3.95%	4	452	13.30	0	0	0	0	9	0	0	0	0	2	0	0	50.00%	44	11	5	0	0	0.49	1	1	0	0	0	0	0	0
19	Jordan Martinook	Flyers	LW/RW	68	6	4	10	-2	16	0	53	53	48	14	35	12.50%	19	669	9.85	0	0	0	0	0	0	0	0	0	0	1	0	21.05%	19	11	15	0	0	0.30	0	0	0	0	0	0	0	1
20	Logan O'Connor	Flyers	LW/RW	11	0	3	3	-1	0	0	19	8	14	2	5	0%	0	112	10.18	0	0	0	0	10	0	0	0	1	6	0	0	0%	1	3	4	0	0	0.54	0	0	0	0	0	0	0	0
21	Philip Tomasino	Philadelphie (Phi)	LW/RW	1	2	0	2	2	0	0	3	2	3	0	2	66.67%	2	14	14.77	0	0	0	0	2	0	0	0	0	0	1	0	0%	0	0	0	0	0	2.71	0	0	0	0	0	1	0	0
22	Jake Muzzin	Philadelphie (Phi)	D	6	0	1	1	-4	4	0	3	4	2	1	2	0%	11	105	17.50	0	0	0	0	8	0	0	0	0	7	0	0	0%	0	0	6	0	0	0.19	0	0	0	0	0	0	0	0
23	John-Jason Peterka	Philadelphie (Phi)	LW/RW	1	1	0	1	1	0	0	2	0	7	2	4	14.29%	0	18	18.42	0	0	0	0	0	0	0	0	0	0	0	0	0%	2	0	0	0	0	1.09	0	0	0	0	0	0	0	0
24	Evgeni Dadonov	Philadelphie (Phi)	LW/RW	6	0	0	0	0	0	0	0	0	0	0	0	0%	0	2	0.46	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	1	0	0	0	0	0	0
25	Kirill Marchenko	Philadelphie (Phi)	RW	1	0	0	0	0	0	0	0	0	4	0	0	0%	0	7	7.22	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	1	0	0	0	0	0	0	0	0	0	0	0	0
26	Timothy Liljegren	Philadelphie (Phi)	D	1	0	0	0	1	0	0	0	1	0	0	1	0%	1	19	19.72	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
27	Luke Schenn	Flyers	D	10	0	0	0	-5	26	10	12	12	5	1	4	0%	6	120	12.03	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	5	0	0	0	0	0	0	1	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1421	181	319	500	-183	521	55	1512	1668	2157	730	1276	8.39%	873	22356	15.73	30	46	76	121	1714	3	4	7	41	1498	18	12	43.17%	4459	434	527	1	1	0.45	9	43	4	3	3	13	25	16

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Karel Vejmelka	Flyers	42	14	25	3	0.899	3.56	2478	0	147	1461	825	3	1	0.783	23	42	24	4	3	6
2	Jordan Binnington	Flyers	35	7	22	4	0.904	3.21	2022	0	108	1129	604	1	0	0.632	19	33	32	6	2	0
3	Daniel Vladar	Flyers	5	2	2	0	0.896	3.42	281	2	16	154	93	0	0	0.875	8	4	23	0	0	0
Statistiques d’équipe totales ou en moyenne			82	23	49	7	0.901	3.40	4782	2	271	2744	1522	4	1		50	79	79	10	5	6

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	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Type	Salaire actuel	Plafond salarial Non Activé	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Salaire annuel 9	Salaire annuel 10	Non-échange Année 2	Non-échange Année 3	Non-échange Année 4	Non-échange Année 5	Non-échange Année 6	Non-échange Année 7	Non-échange Année 8	Non-échange Année 9	Non-échange Année 10	Lien
Adam Pelech	Flyers	D	28	1994-08-15	No	218 Lbs	6 ft3	No	No	N/A		Yes	Yes	3		Pro & Farm	4,000,000$	4,000,000$	281,250$	No	4,000,000$	4,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Anders Lee	Flyers	C/LW	32	1990-07-02	No	231 Lbs	6 ft3	No	No	N/A		Yes	Yes	3		Pro & Farm	4,000,000$	4,000,000$	281,250$	No	4,000,000$	4,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Colin Blackwell	Flyers	C/RW	29	1993-03-28	No	190 Lbs	5 ft9	No	No	N/A		Yes	Yes	2		Pro & Farm	2,000,000$	2,000,000$	140,625$	No	2,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Daniel Vladar	Flyers	G	25	1997-08-20	No	185 Lbs	6 ft5	No	No	Free Agent		Yes	Yes	4	2024-01-09	Pro & Farm	3,000,000$	3,000,000$	210,938$	No	3,000,000$	3,000,000$	3,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Dillon Dube	Flyers	C/LW/RW	24	1998-07-20	No	187 Lbs	5 ft11	No	No	Waiver		No	Yes	1		Pro & Farm	1,000,000$	1,000,000$	70,312$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Dominik Kubalik	Flyers	LW/RW	27	1995-08-21	No	179 Lbs	6 ft2	No	No	N/A		Yes	Yes	2		Pro & Farm	1,500,000$	1,500,000$	105,469$	No	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Dylan DeMelo	Flyers	D	29	1993-05-01	No	191 Lbs	6 ft0	No	No	Waiver		Yes	Yes	1		Pro & Farm	2,750,000$	2,750,000$	193,359$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Eetu Luostarinen	Flyers	C/LW	24	1998-09-02	No	184 Lbs	6 ft3	No	No	N/A		Yes	Yes	2		Pro & Farm	1,750,000$	1,750,000$	123,047$	No	1,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jared McCann	Flyers	C/LW	26	1996-05-31	No	185 Lbs	6 ft1	No	No	N/A		Yes	Yes	3		Pro & Farm	4,000,000$	4,000,000$	281,250$	No	4,000,000$	4,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Jason Zucker	Flyers	LW/RW	30	1992-01-16	No	192 Lbs	5 ft11	No	No	N/A		Yes	Yes	2		Pro & Farm	3,000,000$	3,000,000$	210,938$	No	3,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jaycob Megna	Flyers	D	30	1992-12-10	No	221 Lbs	6 ft6	No	No	N/A		Yes	Yes	3		Pro & Farm	2,000,000$	2,000,000$	140,625$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Jordan Binnington	Flyers	G	29	1993-07-10	No	174 Lbs	6 ft1	No	No	N/A		No	Yes	1		Pro & Farm	1,250,000$	1,250,000$	87,891$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jordan Martinook	Flyers	LW/RW	30	1992-07-25	No	196 Lbs	6 ft0	No	No	Free Agent		Yes	Yes	4	2024-01-09	Pro & Farm	2,000,000$	2,000,000$	140,625$	No	2,000,000$	2,000,000$	2,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Kailer Yamamoto	Flyers	RW	24	1998-09-29	No	153 Lbs	5 ft8	No	No	N/A		Yes	Yes	1		Pro & Farm	1,700,000$	1,700,000$	119,531$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Karel Vejmelka	Flyers	G	26	1996-05-25	No	203 Lbs	6 ft3	No	No	N/A		Yes	Yes	3		Pro & Farm	2,000,000$	2,000,000$	140,625$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Kyle Palmieri	Flyers	LW/RW	31	1991-02-01	No	185 Lbs	5 ft11	No	No	Free Agent		Yes	Yes	4	2024-01-09	Pro & Farm	3,000,000$	3,000,000$	210,938$	No	3,000,000$	3,000,000$	3,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Logan O'Connor	Flyers	LW/RW	26	1996-08-14	No	175 Lbs	6 ft0	No	No	N/A		Yes	Yes	1		Pro & Farm	1,500,000$	1,500,000$	105,469$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Luke Schenn	Flyers	D	33	1989-11-01	No	227 Lbs	6 ft2	No	No	Waiver		Yes	Yes	3		Pro & Farm	2,000,000$	2,000,000$	140,625$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Max Pacioretty	Flyers	LW	34	1988-11-20	No	215 Lbs	6 ft2	No	No	Free Agent		Yes	Yes	4	2024-01-09	Pro & Farm	3,600,000$	3,600,000$	253,125$	No	3,600,000$	3,600,000$	3,600,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Nate Schmidt	Flyers	D	31	1991-07-16	No	194 Lbs	6 ft0	No	No	N/A		Yes	Yes	3		Pro & Farm	2,500,000$	2,500,000$	175,781$	No	2,500,000$	2,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Nic Dowd	Flyers	C	32	1990-05-27	No	195 Lbs	6 ft1	No	No	Free Agent		Yes	Yes	4	2024-01-09	Pro & Farm	2,000,000$	2,000,000$	140,625$	No	2,000,000$	2,000,000$	2,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Nick Bonino	Flyers	C/LW	34	1988-04-20	No	196 Lbs	6 ft1	No	No	Free Agent		Yes	Yes	4	2024-01-09	Pro & Farm	1,700,000$	1,700,000$	119,531$	No	1,700,000$	1,700,000$	1,700,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Ryan Strome	Flyers	C/RW	29	1993-07-11	No	190 Lbs	6 ft1	No	No	Waiver	2024-01-21	Yes	Yes	3		Pro & Farm	4,250,000$	4,250,000$	298,828$	No	4,250,000$	4,250,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
TJ Brodie	Flyers	D	32	1990-07-06	No	185 Lbs	6 ft1	No	No	N/A		Yes	Yes	1		Pro & Farm	3,000,000$	3,000,000$	210,938$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
24	28.96	194 Lbs	6 ft1	2.58	2,479,167$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
59,500,000$	48,300,000$	40,050,000$	15,300,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Ryan Strome	Nic Dowd	Kailer Yamamoto	40	1	2	2
2	Kyle Palmieri	Jared McCann	Dominik Kubalik	30	1	2	2
3	Max Pacioretty	Anders Lee	Jason Zucker	20	1	2	2
4	Logan O'Connor	Nick Bonino	Eetu Luostarinen	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dylan DeMelo	Adam Pelech	44	1	2	2
2	TJ Brodie	Nate Schmidt	33	1	2	2
3	Luke Schenn	Jaycob Megna	23	1	2	2
4	TJ Brodie	Adam Pelech	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jared McCann	Nic Dowd	Nick Bonino	60	1	2	2
2	Nick Bonino	Jared McCann	Dominik Kubalik	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Nate Schmidt	Adam Pelech	60	1	2	2
2	TJ Brodie	Nate Schmidt	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nick Bonino	Jared McCann	60	1	2	2
2	Jared McCann	Nick Bonino	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Nate Schmidt	Adam Pelech	60	1	2	2
2	TJ Brodie	Nate Schmidt	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Jared McCann	60	1	2	2	Nate Schmidt	Adam Pelech	60	1	2	2
2	Jared McCann	40	1	2	2	TJ Brodie	Nate Schmidt	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Jared McCann	Nick Bonino	60	1	2	2
2	Jared McCann	Dominik Kubalik	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	TJ Brodie	Adam Pelech	60	1	2	2
2	TJ Brodie	Nate Schmidt	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Ryan Strome	Nic Dowd	Kailer Yamamoto	Dylan DeMelo	Adam Pelech

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Ryan Strome	Nic Dowd	Kailer Yamamoto	Dylan DeMelo	Adam Pelech

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Nick Bonino, Dominik Kubalik, Eetu Luostarinen	Nick Bonino, Dominik Kubalik	Nick Bonino

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Nate Schmidt, Adam Pelech, TJ Brodie	Nate Schmidt	Nate Schmidt, Adam Pelech

Tirs de pénalité
Dominik Kubalik, Jared McCann, Anders Lee, Nic Dowd, Nick Bonino

Gardien
#1 : Karel Vejmelka, #2 : Jordan Binnington

Lignes d’attaque personnalisées en prolongation
Ryan Strome, Jared McCann, Anders Lee, Kailer Yamamoto, Nick Bonino, Dominik Kubalik, Dominik Kubalik, Eetu Luostarinen, Kyle Palmieri, Nic Dowd, Jason Zucker

Lignes de défense personnalisées en prolongation
Dylan DeMelo, Adam Pelech, TJ Brodie, Nate Schmidt, Luke Schenn

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	Blackhawks	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	7	12	19	0	0	2	2	3	0	58	18	21	19	0	64	29	14	43	6	1	16.67%	7	1	85.71%	0	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	38	19	43	18	37	18
2	Blue Jackets	7	1	4	0	0	1	0	1	19	28	-9	3	0	2	0	0	0	0	1	8	11	-3	4	1	2	0	0	1	0	0	11	17	-6	4	0.286	19	33	52	0	0	5	7	7	1	245	67	81	94	10	261	84	46	129	20	2	10.00%	23	7	69.57%	0	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	132	71	168	68	126	60
3	Blues	2	1	1	0	0	0	0	0	7	7	0	1	0	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	3	2	1	2	0.500	7	13	20	0	0	3	0	4	0	69	30	15	24	0	73	25	16	44	9	3	33.33%	8	1	87.50%	0	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	42	25	43	17	34	17
4	Canadiens	5	1	4	0	0	0	0	0	11	18	-7	2	1	1	0	0	0	0	0	7	7	0	3	0	3	0	0	0	0	0	4	11	-7	2	0.200	11	16	27	0	0	3	3	5	0	153	45	45	63	0	169	67	30	106	19	2	10.53%	10	4	60.00%	0	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	105	57	105	43	89	48
5	Canucks	2	1	1	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	4	1	3	2	0.500	5	8	13	0	0	1	4	0	0	70	26	32	12	0	56	20	10	52	6	0	0.00%	5	2	60.00%	0	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	42	23	40	17	36	18
6	Capitals	7	1	5	0	0	0	0	1	17	29	-12	4	1	2	0	0	0	0	1	10	12	-2	3	0	3	0	0	0	0	0	7	17	-10	3	0.214	17	27	44	0	0	4	7	6	0	242	71	78	93	2	236	74	52	122	15	2	13.33%	26	7	73.08%	0	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	133	74	167	65	123	59
7	Coyotes	3	2	1	0	0	0	0	0	10	9	1	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	3	1	2	4	0.667	10	14	24	0	0	5	0	5	0	96	26	36	34	0	124	40	30	47	6	1	16.67%	15	2	86.67%	1	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	57	31	68	27	53	25
8	Ducks	2	0	1	0	1	0	0	0	4	7	-3	1	0	0	0	1	0	0	0	2	1	1	1	0	1	0	0	0	0	0	2	6	-4	2	0.500	4	7	11	0	0	2	1	0	1	45	15	16	12	2	71	24	8	41	8	1	12.50%	4	2	50.00%	0	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	35	17	48	20	36	18
9	Golden Knights	3	0	2	0	1	0	0	0	12	14	-2	1	0	0	0	1	0	0	0	5	4	1	2	0	2	0	0	0	0	0	7	10	-3	2	0.333	12	21	33	0	0	4	2	5	1	84	33	14	36	1	117	38	19	56	7	2	28.57%	7	3	57.14%	0	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	65	36	63	25	52	26
10	Jets	3	1	2	0	0	0	0	0	8	8	0	2	1	1	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	1	2	-1	2	0.333	8	13	21	0	0	3	3	2	0	87	38	27	22	0	111	29	12	49	9	2	22.22%	6	1	83.33%	0	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	59	35	68	26	51	25
11	Kings	2	0	2	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	3	6	9	0	0	2	0	1	0	62	17	16	29	0	56	19	14	43	5	1	20.00%	7	0	100.00%	0	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	38	21	46	18	34	16
12	Lightning	8	1	7	0	0	0	0	0	13	27	-14	4	1	3	0	0	0	0	0	9	14	-5	4	0	4	0	0	0	0	0	4	13	-9	2	0.125	13	25	38	1	0	3	6	4	0	232	84	84	64	0	284	103	41	151	20	0	0.00%	18	2	88.89%	0	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	147	76	187	73	144	71
13	Maple Leafs	6	3	3	0	0	0	0	0	18	18	0	3	2	1	0	0	0	0	0	10	7	3	3	1	2	0	0	0	0	0	8	11	-3	6	0.500	18	31	49	0	0	3	8	7	0	165	42	50	73	0	215	57	37	106	18	2	11.11%	16	5	68.75%	0	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	110	56	138	59	110	54
14	Oilers	3	0	1	0	0	0	2	0	9	8	1	1	0	1	0	0	0	0	0	1	2	-1	2	0	0	0	0	0	2	0	8	6	2	4	0.667	9	12	21	0	0	3	1	3	3	91	38	22	28	14	97	35	33	75	6	0	0.00%	11	2	81.82%	1	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	56	27	75	30	58	27
15	Penguins	8	2	2	0	0	1	2	1	27	25	2	4	0	1	0	0	0	2	1	11	11	0	4	2	1	0	0	1	0	0	16	14	2	10	0.625	27	37	64	0	0	6	10	9	5	239	75	95	64	19	272	93	54	160	21	4	19.05%	27	9	66.67%	0	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	158	81	183	79	155	77
16	Rangers	4	0	2	0	0	0	1	1	10	15	-5	2	0	0	0	0	0	1	1	8	8	0	2	0	2	0	0	0	0	0	2	7	-5	3	0.375	10	14	24	0	0	4	2	3	1	119	36	54	27	8	142	36	30	73	15	5	33.33%	15	3	80.00%	0	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	79	40	95	39	75	36
17	Red Wings	4	0	4	0	0	0	0	0	10	19	-9	2	0	2	0	0	0	0	0	4	9	-5	2	0	2	0	0	0	0	0	6	10	-4	0	0.000	10	16	26	0	0	2	2	6	0	117	40	39	38	0	148	38	36	87	12	2	16.67%	13	4	69.23%	1	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	75	40	96	38	67	33
18	Senators	4	0	4	0	0	0	0	0	4	16	-12	2	0	2	0	0	0	0	0	1	9	-8	2	0	2	0	0	0	0	0	3	7	-4	0	0.000	4	6	10	0	0	1	0	3	0	92	29	29	34	0	119	41	33	78	12	0	0.00%	10	2	80.00%	0	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	72	34	93	37	74	37
19	Sharks	4	1	2	0	0	0	0	1	12	13	-1	2	0	1	0	0	0	0	1	5	7	-2	2	1	1	0	0	0	0	0	7	6	1	3	0.375	12	21	33	0	0	2	6	4	1	131	29	64	38	8	130	41	28	95	13	1	7.69%	14	1	92.86%	0	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	81	42	89	39	73	36
	Total	79	16	49	0	2	2	5	5	206	277	-71	39	8	21	0	2	0	3	5	105	128	-23	40	8	28	0	0	2	2	0	101	149	-48	53	0.335	206	332	538	1	0	58	64	77	13	2397	759	818	804	64	2745	893	543	1557	227	31	13.66%	242	58	76.03%	3	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	1533	815	1824	749	1436	709
	_Since Last GM Reset	79	16	49	0	2	2	5	5	206	277	-71	39	8	21	0	2	0	3	5	105	128	-23	40	8	28	0	0	2	2	0	101	149	-48	53	0.335	206	332	538	1	0	58	64	77	13	2397	759	818	804	64	2745	893	543	1557	227	31	13.66%	242	58	76.03%	3	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	1533	815	1824	749	1436	709
	_Vs Conference	53	9	35	0	0	2	3	4	129	195	-66	26	5	14	0	0	0	3	4	68	88	-20	27	4	21	0	0	2	0	0	61	107	-46	30	0.283	129	205	334	1	0	31	45	50	7	1604	489	555	550	39	1846	593	359	1012	152	19	12.50%	158	43	72.78%	1	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	1015	536	1235	505	966	478
	_Vs Division	30	5	18	0	0	2	2	3	76	109	-33	15	2	8	0	0	0	2	3	38	48	-10	15	3	10	0	0	2	0	0	38	61	-23	19	0.317	76	122	198	1	0	18	30	26	6	958	297	338	315	31	1053	354	193	562	76	8	10.53%	94	25	73.40%	0	725	1651	43.91%	738	1701	43.39%	521	1152	45.23%	571	305	706	287	550	268

			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
79	53	L3	206	332	538	2397	2745	893	543	1557	1	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
79	16	49	2	2	5	5	206	277

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	8	21	2	0	3	5	105	128

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	8	28	0	2	2	0	101	149

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
1	6	1	0	2	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
227	31	13.66%	242	58	76.03%	3

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
759	818	804	64	58	64	77	13

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
725	1651	43.91%	738	1701	43.39%	521	1152	45.23%

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
1533	815	1824	749	1436	709

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
2	9	Flyers	3	Capitals	6	AL			Sommaire du match
3	13	Flyers	5	Blue Jackets	6	AL	X		Sommaire du match
4	20	Blue Jackets	2	Flyers	1	BL			Sommaire du match
6	36	Penguins	3	Flyers	4	BW	X	X	Sommaire du match
7	47	Flyers	4	Oilers	3	AW	X	X	Sommaire du match
9	52	Capitals	5	Flyers	1	BL			Sommaire du match
10	66	Flyers	1	Lightning	4	AL			Sommaire du match
11	72	Capitals	3	Flyers	2	BL			Sommaire du match
12	86	Flyers	2	Rangers	3	AL			Sommaire du match
13	93	Coyotes	3	Flyers	4	BW			Sommaire du match
15	106	Lightning	3	Flyers	1	BL			Sommaire du match
16	116	Flyers	0	Canadiens	2	AL			Sommaire du match
18	127	Flyers	3	Penguins	4	AL			Sommaire du match
19	135	Senators	4	Flyers	0	BL			Sommaire du match
20	145	Flyers	0	Lightning	2	AL			Sommaire du match
22	154	Penguins	5	Flyers	4	BL	X	X	Sommaire du match
24	167	Flyers	0	Rangers	4	AL			Sommaire du match
25	173	Capitals	3	Flyers	2	BL	X	X	Sommaire du match
26	185	Penguins	2	Flyers	1	BL			Sommaire du match
27	193	Flyers	3	Sharks	4	AL			Sommaire du match
29	206	Maple Leafs	4	Flyers	1	BL			Sommaire du match
30	215	Flyers	2	Senators	4	AL			Sommaire du match
31	221	Flyers	2	Golden Knights	3	AL			Sommaire du match
34	237	Rangers	6	Flyers	5	BL	X	X	Sommaire du match
35	247	Maple Leafs	2	Flyers	6	BW			Sommaire du match
36	254	Flyers	4	Penguins	2	AW			Sommaire du match
37	264	Flyers	1	Kings	2	AL			Sommaire du match
39	274	Jets	5	Flyers	4	BL			Sommaire du match
40	285	Flyers	1	Senators	3	AL			Sommaire du match
42	294	Sharks	5	Flyers	4	BL	X	X	Sommaire du match
43	302	Flyers	3	Canadiens	4	AL			Sommaire du match
45	315	Flyers	5	Penguins	3	AW			Sommaire du match
46	320	Red Wings	2	Flyers	1	BL			Sommaire du match
48	333	Blue Jackets	6	Flyers	5	BL			Sommaire du match
50	347	Ducks	1	Flyers	2	BW	X		Sommaire du match
51	357	Flyers	3	Capitals	5	AL			Sommaire du match
53	363	Flyers	2	Maple Leafs	5	AL			Sommaire du match
55	372	Canadiens	6	Flyers	2	BL			Sommaire du match
56	382	Flyers	4	Red Wings	5	AL			Sommaire du match
57	392	Red Wings	7	Flyers	3	BL			Sommaire du match
59	403	Flyers	3	Blues	2	AW			Sommaire du match
62	415	Lightning	5	Flyers	3	BL			Sommaire du match
64	426	Lightning	5	Flyers	3	BL			Sommaire du match
66	434	Flyers	2	Red Wings	5	AL			Sommaire du match
68	440	Flyers	1	Jets	2	AL			Sommaire du match
70	452	Blue Jackets	3	Flyers	2	BL	X	X	Sommaire du match
71	464	Flyers	4	Blackhawks	6	AL			Sommaire du match
72	472	Flyers	1	Canadiens	5	AL			Sommaire du match
73	478	Flyers	4	Penguins	5	AL	X		Sommaire du match
74	480	Blues	5	Flyers	4	BL			Sommaire du match
76	497	Oilers	2	Flyers	1	BL			Sommaire du match
77	498	Flyers	4	Blue Jackets	1	AW			Sommaire du match
79	515	Canadiens	1	Flyers	5	BW			Sommaire du match
81	524	Flyers	5	Golden Knights	7	AL			Sommaire du match
82	534	Rangers	2	Flyers	3	BW	X	X	Sommaire du match
83	545	Flyers	2	Ducks	6	AL			Sommaire du match
84	553	Flyers	4	Canucks	1	AW			Sommaire du match
85	558	Blackhawks	1	Flyers	3	BW			Sommaire du match
86	574	Flyers	3	Maple Leafs	2	AW			Sommaire du match
87	580	Kings	3	Flyers	2	BL			Sommaire du match
90	594	Lightning	1	Flyers	2	BW			Sommaire du match
91	608	Canucks	3	Flyers	1	BL			Sommaire du match
92	616	Flyers	3	Coyotes	1	AW			Sommaire du match
93	623	Flyers	1	Lightning	3	AL			Sommaire du match
94	630	Flyers	4	Sharks	2	AW			Sommaire du match
96	639	Capitals	1	Flyers	5	BW			Sommaire du match
98	654	Senators	5	Flyers	1	BL			Sommaire du match
99	664	Flyers	1	Capitals	6	AL			Sommaire du match
102	676	Maple Leafs	1	Flyers	3	BW			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
105	691	Penguins	1	Flyers	2	BW	X	X	Sommaire du match
106	700	Flyers	1	Blue Jackets	3	AL			Sommaire du match
108	711	Jets	1	Flyers	3	BW			Sommaire du match
109	718	Flyers	2	Lightning	4	AL			Sommaire du match
110	728	Flyers	4	Oilers	3	AW	X	X	Sommaire du match
112	736	Flyers	1	Blue Jackets	7	AL			Sommaire du match
113	741	Golden Knights	4	Flyers	5	BW	X		Sommaire du match
114	748	Flyers	3	Maple Leafs	4	AL			Sommaire du match
116	760	Coyotes	5	Flyers	3	BL			Sommaire du match
119	779	Sharks	2	Flyers	1	BL			Sommaire du match
122	792	Blue Jackets	-	Flyers	-
126	810	Blue Jackets	-	Flyers	-
127	819	Flyers	-	Capitals	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	5668	6000	1500
Prix des billets	80	50	30	15	150
Assistance	215,777	179,001	148,596	163,801	44,639
Attendance PCT	92.21%	91.80%	67.22%	70.00%	76.31%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
2	19277 - 79.76%	1,521,441$	59,336,206$	24168	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
61,833,752$	59,500,000$	59,500,000$	0$	3,000,000$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
59,500,000$	59,990,001$	0$	24	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
3,042,882$	9	480,469$	4,324,221$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
4,324,221$	137,448,645$	136,167,306$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
62,500,000$	13,463,083$	75,963,083$	5,527,688$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Jared McCann	AGE:26	PO:0	OV:75
Anders Lee	AGE:32	PO:0	OV:73
Nick Bonino	AGE:34	PO:0	OV:71
Kyle Palmieri	AGE:31	PO:0	OV:71
Dominik Kubalik	AGE:27	PO:0	OV:70
Eetu Luostarinen	AGE:24	PO:0	OV:70
John-Jason Peterka (R)	AGE:20	PO:0	OV:70
Philip Tomasino	AGE:21	PO:0	OV:69
Jason Zucker	AGE:30	PO:0	OV:69
Dillon Dube	AGE:24	PO:0	OV:69
Jordan Martinook	AGE:30	PO:0	OV:68
Lukas Reichel (R)	AGE:20	PO:0	OV:68
Evgeni Dadonov	AGE:33	PO:0	OV:67
Max Pacioretty	AGE:34	PO:0	OV:67
Logan O'Connor	AGE:26	PO:0	OV:66
Kent Johnson (R)	AGE:20	PO:0	OV:66
Adam Ruzicka	AGE:23	PO:0	OV:65
Ryan Lomberg	AGE:28	PO:0	OV:64
Filip Zadina	AGE:23	PO:0	OV:64
Josh Archibald	AGE:30	PO:0	OV:64
Vasily Podkolzin	AGE:21	PO:0	OV:63
Kurtis MacDermid	AGE:28	PO:0	OV:63
Samuel Fagemo (R)	AGE:22	PO:0	OV:61
Ross Johnston	AGE:28	PO:0	OV:59
Kieffer Bellows	AGE:24	PO:0	OV:59

Jared McCann	AGE:26	PO:0	OV:75
Anders Lee	AGE:32	PO:0	OV:73
Nick Bonino	AGE:34	PO:0	OV:71
Eetu Luostarinen	AGE:24	PO:0	OV:70
Ryan Strome	AGE:29	PO:0	OV:70
Dillon Dube	AGE:24	PO:0	OV:69
Nic Dowd	AGE:32	PO:0	OV:69
Lukas Reichel (R)	AGE:20	PO:0	OV:68
Kent Johnson (R)	AGE:20	PO:0	OV:66
Colin Blackwell	AGE:29	PO:0	OV:64
Michael Eyssimont (R)	AGE:26	PO:0	OV:63
Nils Aman (R)	AGE:22	PO:0	OV:62
Tyson Foerster (R)	AGE:20	PO:0	OV:60

Kyle Palmieri	AGE:31	PO:0	OV:71
Dominik Kubalik	AGE:27	PO:0	OV:70
John-Jason Peterka (R)	AGE:20	PO:0	OV:70
Ryan Strome	AGE:29	PO:0	OV:70
Philip Tomasino	AGE:21	PO:0	OV:69
Jason Zucker	AGE:30	PO:0	OV:69
Dillon Dube	AGE:24	PO:0	OV:69
Seth Jarvis	AGE:20	PO:0	OV:68
Kailer Yamamoto	AGE:24	PO:0	OV:68
Kirill Marchenko (R)	AGE:22	PO:0	OV:68
Jordan Martinook	AGE:30	PO:0	OV:68
Evgeni Dadonov	AGE:33	PO:0	OV:67
Logan O'Connor	AGE:26	PO:0	OV:66
Colin Blackwell	AGE:29	PO:0	OV:64
Filip Zadina	AGE:23	PO:0	OV:64
Josh Archibald	AGE:30	PO:0	OV:64
Vasily Podkolzin	AGE:21	PO:0	OV:63
Michael Eyssimont (R)	AGE:26	PO:0	OV:63
Samuel Fagemo (R)	AGE:22	PO:0	OV:61
Tyson Foerster (R)	AGE:20	PO:0	OV:60
Kieffer Bellows	AGE:24	PO:0	OV:59

Défense #1

Défense #2

Gardien

Adam Pelech	AGE:28	PO:0	OV:73
Dylan DeMelo	AGE:29	PO:0	OV:72
Luke Schenn	AGE:33	PO:0	OV:72
TJ Brodie	AGE:32	PO:0	OV:71
Kaiden Guhle (R)	AGE:20	PO:0	OV:70
Nate Schmidt	AGE:31	PO:0	OV:69
Timothy Liljegren	AGE:23	PO:0	OV:68

Jaycob Megna	AGE:30	PO:0	OV:67
Jake Muzzin	AGE:33	PO:0	OV:65
Connor Carrick	AGE:28	PO:0	OV:64
Kurtis MacDermid	AGE:28	PO:0	OV:63
Vladislav Kolyachonok	AGE:21	PO:0	OV:61
Matt Kiersted (R)	AGE:24	PO:0	OV:61

Karel Vejmelka	AGE:26	PO:0	OV:69
Jordan Binnington	AGE:29	PO:0	OV:67
Daniel Vladar	AGE:25	PO:0	OV:62
Erik Kallgren (R)	AGE:26	PO:0	OV:62

Espoirs

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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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Date de la Dernière Transaction	Lien
Albin Grewe	Flyers	27	66
Ales Hemsky	Flyers	0	0
Alex Pharand	Flyers	31	139
Alexander Nikishin	Flyers	28	92
Andrew MacWilliam	Flyers	0	0
Anthony Greco	Flyers	0	0
Artyom Galimov	Flyers	28	139
Ben Bishop	Flyers	0	0		Lien
Bobby Allen	Flyers	0	0
Brady Cleveland	Flyers	31	68
Bryan Little	Flyers	0	0		Lien
C.J. Smith	Flyers	0	0		Lien
Carl Soderberg	Flyers	0	0
Chris VandeVelde	Flyers	0	0
Colby Cohen	Flyers	0	0
Cole Huckins	Flyers	29	113
Conor Geekie	Flyers	30	21
Cory Sarich	Flyers	0	0
Cory Schneider	Flyers	0	0		Lien
Cross Hanas	Flyers	28	59
Cutter Gauthier	Flyers	30	6
David Reinbacher	Flyers	31	7
Dennis Finn Olsson	Flyers	26	132
Devan Dubnyk	Flyers	0	0		Lien
Dillon Fournier	Flyers	20	79
Dylan Mackinnon	Flyers	31	116
Emil Andrae	Flyers	28	72
Emil Heineman	Flyers	28	53
Eric Fehr	Flyers	0	0
Eric Wellwood	Flyers	0	0
Ethan Gauthier	Flyers	31	34
Fabian Lysell	Flyers	29	14
Fedor Svechkov	Flyers	29	21
Filip Bystedt	Flyers	30	43
Filip Hallander	Flyers	0	0
Gabriel Perreault	Flyers	31	27
Garrett Roe	Flyers	15	94
Gregory Hoffman	Flyers	29	120
Igor Shvyryov	Flyers	26	105
Isak Rosen	Flyers	29	34	2024-04-24
Jack Ahcan	Flyers	28	132
Jack Peart	Flyers	29	43
Jake Boltmann	Flyers	28	119
Jake Dotchin	Flyers	0	0		Lien
Jakub Izacky	Flyers	19	118
James hardie	Flyers	28	134
Jermaine Loewen	Flyers	26	139
Jimmy Schuldt	Flyers	27	58
Jiri Felcman	Flyers	31	127
Joel Vermin	Flyers	0	0
John Beecher	Flyers	27	35
John Farinacci	Flyers	27	74
Johnny Boychuk	Flyers	0	0		Lien
Jonathan Lekkerimaki	Flyers	30	15
Juho Lammikko	Flyers	0	0
Julian Lutz	Flyers	30	41
Julien Levasseur	Flyers	15	116
Jussi Rynnas	Flyers	0	0
Juuso Riikola	Flyers	0	0
Kasper Kotkansalo	Flyers	25	98
Kenny Agostino	Flyers	0	0
Kole Sherwood	Flyers	0	0		Lien
Lawrence Pilut	Flyers	0	0
Lian Bichsel	Flyers	30	23
Logan Stankoven	Flyers	29	38
Lukas Radil	Flyers	0	0
Mackie Samoskevich	Flyers	29	26
Magnus Paajarvi	Flyers	0	0
Mario Kempe	Flyers	0	0		Lien
Markus Hannikainen	Flyers	0	0		Lien
Martin Chromiak	Flyers	28	112
Martin Marincin	Flyers	0	0		Lien
Matt Iacopelli	Flyers	21	110
Matthew Phillips	Flyers	26	65
Matthew Savoie	Flyers	30	8
Mattias Ohlund	Flyers	0	0
Max Friberg	Flyers	0	0
Max Gardiner	Flyers	16	35
Max Iafrate	Flyers	19	48
Maxim Shalunov	Flyers	17	37
Maxime Fortier	Flyers	23	54
Michael Bournival	Flyers	0	0
Miikka Salomaki	Flyers	0	0		Lien
Mikael Salmivirta	Flyers	15	122
Noah Dower Nilsson	Flyers	31	107
Olivier Archambault	Flyers	17	54
Oscar Klefbom	Flyers	0	0		Lien
Petr Koblasa	Flyers	19	96
Petr Straka	Flyers	0	0
Prokhor Poltapov	Flyers	29	36
Quinton Burns	Flyers	31	109
Richard Panik	Flyers	0	0		Lien
Ryan Kesler	Flyers	0	0		Lien
Ryan Mccalister	Flyers	31	69
Samuel Knazko	Flyers	28	99
Santeri Hatakka	Flyers	29	126
Scott Morrow	Flyers	29	40
Sean Tschigerl	Flyers	29	106
Sebastian Repo	Flyers	25	118
Shakir Mukhamadullin	Flyers	28	26
Simon Edvinsson	Flyers	29	9
Simon Nemec	Flyers	30	2
Spencer Machacek	Flyers	0	0
Stanislav Svozil	Flyers	29	66
Steven Pinizzotto	Flyers	0	0
Tom Pyatt	Flyers	0	0
Tomas Vokoun	Flyers	0	0
Trevor Murphy	Flyers	0	0
Tristan Broz	Flyers	29	63
Tyler Goulbourne	Flyers	20	119
Willie Coetzee	Flyers	15	74
Xavier Bourgault	Flyers	29	17
Yohann Auvitu	Flyers	0	0
Zack Mitchell	Flyers	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
32
33
34
35
36
Choix au repêchage conditionnel

Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.

Flyers Historique de transactions

[2024-04-26 23:17:17] - Dylan DeMelo was added to Flyers.
[2024-04-26 23:17:17] - Flyers claimed Dylan DeMelo from waivers by Sharks for $50,000.
[2024-04-25 23:39:51] - Luke Schenn was added to Flyers.
[2024-04-25 23:39:51] - Flyers claimed Luke Schenn from waivers by Lightning for $50,000.
[2024-04-25 00:10:21] - Ryan Strome was added to Flyers.
[2024-04-25 00:10:21] - Flyers claimed Ryan Strome from waivers by Capitals for $50,000.
[2024-04-25 00:10:21] - Dillon Dube was added to Flyers.
[2024-04-25 00:10:21] - Flyers claimed Dillon Dube from waivers by Capitals for $50,000.
[2024-04-25 00:01:31] - Flyers show interest in Luke Schenn from waiver.
[2024-04-25 00:01:27] - Flyers show interest in Dylan DeMelo from waiver.
[2024-04-24 22:04:20] - Flyers show interest in Dillon Dube from waiver.
[2024-04-24 22:03:52] - TRADE : From Sharks to Flyers : Isak Rosen (P), Y:32-RND:2-SJS.
[2024-04-24 22:03:52] - TRADE : From Flyers to Sharks : Vladislav Gavrikov (73), Y:33-RND:4-Phi.
[2024-04-24 22:03:22] - TRADE : From Flyers to Jets : Tyler Seguin (74), $3,000,000 (Salary Cap Year 1).
[2024-04-24 22:03:22] - TRADE : From Jets to Flyers : Y:32-RND:2-Win, Y:33-RND:4-Win.
[2024-04-24 10:26:23] - Flyers show interest in Ryan Strome from waiver.
[2024-01-16 23:34:31] - New Record for Team's Most Shots (56) in 1 Game for Flyers!
[2024-01-16 23:34:31] - New Record for Team's Most Shots (56) in 1 Game for Flyers!
[2024-01-15 22:34:02] - New Record for Team's Most Shots (55) in 1 Game for Flyers!
[2024-01-15 22:34:02] - New Record for Team's Most Shots (55) in 1 Game for Flyers!
[2024-01-15 22:17:49] - Flyers hired Gerard Gallant for $2,000,000 for 2 year(s).
[2024-01-14 10:59:01] - TRADE : From Flyers to Coyotes : Alex Stalock (66), Brian Elliott (65), Justin Barron (65), Michael Hutchinson (64), Sheldon Rempal (61).
[2024-01-14 10:59:01] - TRADE : From Coyotes to Flyers : Jake Muzzin (66).
[2024-01-10 14:51:58] - Matt Luff was released.
[2024-01-10 14:51:58] - Flyers paid $0 to release Matt Luff.
[2024-01-10 14:51:51] - Karson Kuhlman was released.
[2024-01-10 14:51:51] - Flyers paid $0 to release Karson Kuhlman.
[2024-01-10 14:51:43] - Nico Sturm was released.
[2024-01-10 14:51:43] - Flyers paid $0 to release Nico Sturm.
[2024-01-10 09:29:49] - Samuel Knazko has been added to Flyers.
[2024-01-10 09:29:42] - Samuel Knazko was released by Flyers
[2024-01-10 09:29:18] - Simon Edvinsson has been added to Flyers.
[2024-01-10 09:29:11] - Simon Edvinsson was released by Flyers
[2024-01-10 09:28:23] - Matthew Phillips has been added to Flyers.
[2024-01-10 09:28:16] - Matthew Phillips was released by Flyers
[2024-01-09 23:54:44] - Daniel Vladar signed with Flyers for $3,000,000 for 4 year(s).
[2024-01-09 23:54:44] - Daniel Vladar was added to Flyers.
[2024-01-09 23:53:01] - Nils Aman signed with Flyers for $1,200,000 for 4 year(s).
[2024-01-09 23:53:01] - Nils Aman was added to Flyers.
[2024-01-09 23:51:31] - Jordan Martinook signed with Flyers for $2,000,000 for 4 year(s).
[2024-01-09 23:51:31] - Jordan Martinook was added to Flyers.
[2024-01-09 23:51:10] - Kyle Palmieri signed with Flyers for $3,000,000 for 4 year(s).
[2024-01-09 23:51:10] - Kyle Palmieri was added to Flyers.
[2024-01-09 23:50:24] - Nick Bonino signed with Flyers for $1,700,000 for 4 year(s).
[2024-01-09 23:50:24] - Nick Bonino was added to Flyers.
[2024-01-09 23:50:04] - Max Pacioretty signed with Flyers for $3,600,000 for 4 year(s).
[2024-01-09 23:50:04] - Max Pacioretty was added to Flyers.
[2024-01-09 23:45:12] - Nic Dowd signed with Flyers for $2,000,000 for 4 year(s).
[2024-01-09 23:45:12] - Nic Dowd was added to Flyers.

[2024-04-29 22:27:27] Jake Muzzin(Flyers) cleared from waivers and was sent to down farm.
[2024-04-27 22:25:59] Auto Lines Partial Function has been run for Flyers.
[2024-04-27 22:25:54] John-Jason Peterka of Flyers was sent down to farm.
[2024-04-27 22:25:54] Kaiden Guhle of Flyers was sent down to farm.
[2024-04-27 22:25:54] Philip Tomasino of Flyers was sent down to farm.
[2024-04-27 22:25:54] Jake Muzzin of Flyers was sent down to farm.
[2024-04-27 22:25:52] Flyers placed Jake Muzzin on waivers.
[2024-04-27 22:03:43] Flyers roster errors : Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2024-04-27 22:03:41] Maximum Pro Players Limit Reached for Flyers!
[2024-04-27 22:03:31] Auto Roster Function has been run for Flyers.
[2024-04-27 22:03:26] Timothy Liljegren of Flyers was sent to farm.
[2024-04-27 22:03:26] Kirill Marchenko of Flyers was sent to farm.
[2024-04-27 22:03:26] Kaiden Guhle of Flyers was sent to pro.
[2024-04-27 22:03:26] Auto Roster Partial Function has been run for Flyers.
[2024-04-26 23:17:31] Maximum Pro Players Limit Reached for Flyers!
[2024-04-26 23:17:17] Evgeni Dadonov(Flyers) cleared from waivers and was sent to down farm.
[2024-04-26 23:17:17] Dylan DeMelo was added to Flyers.
[2024-04-26 23:17:17] Flyers claimed Dylan DeMelo from waivers by Sharks for $50,000.
[2024-04-26 23:16:32] Canadiens cannot claim Dylan DeMelo from waivers because Flyers has already claimed him and has priority.
[2024-04-25 23:39:59] Maximum Pro Players Limit Reached for Flyers!
[2024-04-25 23:39:51] Luke Schenn was added to Flyers.
[2024-04-25 23:39:51] Flyers claimed Luke Schenn from waivers by Lightning for $50,000.
[2024-04-25 00:10:31] Maximum Pro Players Limit Reached for Flyers!
[2024-04-25 00:10:21] Ryan Strome was added to Flyers.
[2024-04-25 00:10:21] Flyers claimed Ryan Strome from waivers by Capitals for $50,000.
[2024-04-25 00:10:21] Dillon Dube was added to Flyers.
[2024-04-25 00:10:21] Flyers claimed Dillon Dube from waivers by Capitals for $50,000.
[2024-04-25 00:10:12] Auto Lines Partial Function has been run for Flyers.
[2024-04-25 00:10:12] Auto Roster Partial Function has been run for Flyers.
[2024-04-25 00:10:05] Kaiden Guhle of Flyers was sent down to farm.
[2024-04-25 00:07:59] Flyers roster errors : Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2024-04-25 00:07:57] Maximum Pro Players Limit Reached for Flyers!
[2024-04-25 00:07:37] Auto Roster Function has been run for Flyers.
[2024-04-25 00:07:37] Timothy Liljegren of Flyers was sent to pro.
[2024-04-25 00:07:37] Kirill Marchenko of Flyers was sent to pro.
[2024-04-25 00:07:37] Philip Tomasino of Flyers was sent to pro.
[2024-04-25 00:07:37] John-Jason Peterka of Flyers was sent to pro.
[2024-04-25 00:07:37] Auto Roster Partial Function has been run for Flyers.
[2024-04-25 00:01:33] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2024-04-25 00:01:31] Flyers show interest in Luke Schenn from waiver.
[2024-04-25 00:01:27] Flyers show interest in Dylan DeMelo from waiver.
[2024-04-24 22:08:07] Flyers are expected to be under the minimum salary cap by $608,979!
[2024-04-24 22:04:41] Flyers are expected to be under the minimum salary cap by $608,979!
[2024-04-24 22:04:24] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2024-04-24 22:04:21] Flyers placed Evgeni Dadonov on waivers.
[2024-04-24 22:04:20] Flyers show interest in Dillon Dube from waiver.
[2024-04-24 22:03:52] TRADE : From Sharks to Flyers : Isak Rosen (P), Y:32-RND:2-SJS.
[2024-04-24 22:03:52] TRADE : From Flyers to Sharks : Vladislav Gavrikov (73), Y:33-RND:4-Phi.
[2024-04-24 22:03:22] TRADE : From Flyers to Jets : Tyler Seguin (74), $3,000,000 (Salary Cap Year 1).
[2024-04-24 22:03:22] TRADE : From Jets to Flyers : Y:32-RND:2-Win, Y:33-RND:4-Win.

Pas de blessure ou de suspension.

Flyers Leaders statistiques des joueurs (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 des joueurs (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: 79 \| W: 23 \| L: 49 \| OTL: 7 \| P: 53 GF: 206 \| GA: 277 \| PP%: 13.66% \| PK%: 76.03% DG: Alexandre Gagne \| Morale : 8 \| Moyenne d’équipe : 69 Prochains matchs #792 vs Blue Jackets