LHSRSM - Flyers

Phantoms
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Dernière transactions
Blessure/Suspension
Statistiques d’équipe en carrière
Client Web pour la formation
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Centre de jeu
	Flyers 22-17-4, 48pts	4	FINAL	3	Islanders 13-26-3, 29pts

Team Stats
L1	Streak	OTL2
10-9-2	Home Record	5-12-2
12-8-2	Away Record	8-14-1
3-6-1	Last 10 Games	1-7-2
3.37	Goals Per Game	2.71
3.16	Goals Against Per Game	3.83
18.58%	Power Play Percentage	21.32%
82.05%	Penalty Kill Percentage	76.87%

Red Wings
29-12-4, 62pts

FINAL

Flyers
22-17-4, 48pts

Team Stats
W3	Streak	L1
14-6-2	Home Record	10-9-2
15-6-2	Away Record	12-8-2
8-2-0	Last 10 Games	3-6-1
3.36	Goals Per Game	3.37
2.84	Goals Against Per Game	3.16
17.33%	Power Play Percentage	18.58%
74.76%	Penalty Kill Percentage	82.05%

Blue Jackets
18-23-2, 38pts

2022-01-20

Flyers
22-17-4, 48pts

Statistiques d’équipe
OTW1	Séquence	L1
7-11-2	Fiche domicile	10-9-2
11-12-0	Fiche visiteur	12-8-2
4-6-0	10 derniers matchs	3-6-1
2.60	Buts par match	3.37
2.70	Buts contre par match	3.16
10.40%	Pourcentage en avantage numérique	18.58%
83.08%	Pourcentage en désavantage numérique	82.05%

Flyers
22-17-4, 48pts

2022-01-22

Sabres
23-18-3, 49pts

Statistiques d’équipe
L1	Séquence	L3
10-9-2	Fiche domicile	14-8-1
12-8-2	Fiche visiteur	9-10-2
3-6-1	10 derniers matchs	4-6-0
3.37	Buts par match	3.27
3.16	Buts contre par match	3.02
18.58%	Pourcentage en avantage numérique	27.40%
82.05%	Pourcentage en désavantage numérique	85.84%

Stars
25-13-4, 54pts

2022-01-24

Flyers
22-17-4, 48pts

Statistiques d’équipe
L1	Séquence	L1
14-6-2	Fiche domicile	10-9-2
11-7-2	Fiche visiteur	12-8-2
4-4-2	10 derniers matchs	3-6-1
3.19	Buts par match	3.37
2.55	Buts contre par match	3.16
25.41%	Pourcentage en avantage numérique	18.58%
77.66%	Pourcentage en désavantage numérique	82.05%

Meneurs d'équipe
	Buts Martin Necas 26	Passes Devon Toews 38

	Points Claude Giroux 51	Plus/Moins Martin Necas 12

	Victoires Robin Lehner 15	Pourcentage d’arrêts Robin Lehner 0.909

Statistiques d’équipe
Buts pour 145 3.37 GFG	Tirs pour 1389 32.30 Avg	Pourcentage en avantage numérique 18.6% 21 GF	Début de zone offensive 41.4%
Buts contre 136 3.16 GAA	Tirs contre 1308 30.42 Avg	Pourcentage en désavantage numérique 82.1% 21 GA	Début de la zone défensive 39.8%

Informations de l'équipe
	Directeur général	Francois Gamache
	Entraîneur	Dominique Ducharme
	Division	Metropolitaine
	Conférence	Est
	Capitaine	Claude Giroux
	Assistant #1	Anders Lee
	Assistant #2	Mikko Koivu
Informations de l’aréna
	Nom	Wells Fargo Center
	Capacité	18,000
	Assistance	17,029
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	27
	Limite contact	48 / 250
	Espoirs	15
Plafond salarial
	Cap Salarial de la Saison estimé	73,757,499$
	Plafond salarial disponible	7,742,501$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	25,367,840$
	Dépenses annuelles à ce jour	39,257,776$
	Revenus de la saison estimés	24,159,848$
	Dépenses de la saison estimées	37,479,900$
	Compte bancaire actuel	984,928,810$
	Compte bancaire projeté	970,453,404$
Historique d'équipe
	Saison actuelle	22-17-4 (48PTS)
	Historique	400-240-72 (0.562%)
	Apparitions en séries éliminatoires	7
	Historique en séries éliminatoires (W-L)	75-51
	Coupe Stanley	3

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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	Claude Giroux (C)	X	X	X		100.00	62	39	86	80	71	90	88	83	95	81	76	69	83	82	91	0	50	74	0	32	2	8,275,000$
2	Martin Necas	X		X		100.00	69	35	93	82	80	84	89	78	67	77	73	68	81	63	67	0	50	72	0	21	1	1,431,666$
3	Anders Lee (A)	X	X			100.00	81	58	79	70	91	87	76	74	69	73	78	66	75	79	87	0	50	72	0	30	6	7,000,000$
4	Mikael Backlund	X		X		99.25	63	39	86	73	75	87	90	74	88	77	69	74	72	80	79	0	50	71	0	31	4	5,350,000$
5	Nikolaj Ehlers		X	X		100.00	58	37	88	82	69	86	89	77	58	79	80	63	82	69	70	0	50	71	0	24	5	6,000,000$
6	Nazem Kadri	X	X			100.00	70	59	67	77	73	86	84	75	91	76	75	63	74	79	73	0	50	70	0	30	2	4,500,000$
7	Joel Farabee		X	X		100.00	64	43	82	74	67	87	92	75	59	72	74	71	76	62	66	0	50	69	0	20	2	1,425,000$
8	Brad Richardson	X	X	X		100.00	78	36	90	64	72	78	81	63	80	65	63	86	62	86	78	0	50	68	0	35	1	1,250,000$
9	Mikko Koivu (A)	X				100.00	59	42	85	64	86	82	78	67	86	72	63	80	66	88	78	0	50	68	0	37	1	1,750,000$
10	Sean Kuraly	X	X			100.00	86	36	85	64	83	79	89	66	87	68	63	76	64	75	69	0	50	68	0	27	1	1,275,000$
11	Nate Thompson	X	X			100.00	81	39	91	63	78	73	88	61	89	65	62	79	54	87	78	0	50	67	0	36	1	750,000$
12	Morgan Frost	X				100.00	52	35	95	74	67	85	83	71	78	69	63	57	68	63	62	0	50	65	0	21	2	863,333$
13	Devon Toews				X	100.00	66	35	92	75	76	90	92	75	30	78	70	79	56	73	74	0	50	72	0	26	4	4,100,000$
14	Jacob Trouba				X	100.00	90	62	73	72	85	91	87	68	30	76	64	85	53	73	77	0	50	71	0	26	6	8,000,000$
15	Matt Niskanen				X	100.00	83	39	87	66	78	90	79	68	30	79	69	83	55	85	75	0	50	71	0	33	1	5,750,000$
16	Dmitry Orlov				X	100.00	82	46	80	75	76	89	85	74	30	77	68	74	65	78	76	0	50	71	0	29	3	5,100,000$
17	Mario Ferraro				X	100.00	88	39	86	70	72	88	89	69	30	73	58	76	51	65	63	0	50	68	0	22	2	1,137,500$
18	Justin Braun				X	100.00	81	38	89	63	82	86	87	62	30	73	58	76	53	84	74	0	50	67	0	33	2	1,800,000$
Rayé
1	Kevin Hayes	X		X		18.36	78	42	86	70	93	87	90	74	80	72	75	73	74	77	78	0	50	72	0	28	6	7,142,857$

	MOYENNE D’ÉQUIPE					97.94	71	44	84	67	78	80	82	66	60	67	64	68	62	74	71	0	50	66

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Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Robin Lehner	97.50	92	88	86	95	91	90	92	91	90	92	91	78	84	0	50	74	0	29	5	5,000,000$
2	Jonathan Bernier	97.50	89	86	84	71	88	87	89	88	87	89	88	82	87	0	50	72	0	32	1	3,000,000$
Rayé

	MOYENNE D’ÉQUIPE	99.38	76	82	82	83	75	74	76	75	74	76	75	75	80	0	50	65

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dominique Ducharme	82	81	83	82	72	67	77	CAN	48	9	100,000$

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FL	S1	S2	S3
1	Claude Giroux	Flyers	C/LW/RW	43	20	31	51	10	8	0	65	137	178	46	124	11.24%	10	929	21.61	2	7	9	23	108	0	0	0	0	13	2	1	56.13%	1224	0	1.10	0	3	0	3	5	4
2	Martin Necas	Flyers	C/RW	43	26	24	50	12	28	0	60	81	130	46	94	20.00%	5	883	20.55	4	6	10	22	105	0	0	0	0	0	6	2	46.67%	105	0	1.13	0	3	0	2	4	2
3	Devon Toews	Flyers	D	43	8	38	46	7	6	0	12	69	96	27	54	8.33%	44	1017	23.66	4	6	10	54	106	0	1	1	0	53	2	0	0.00%	0	0	0.90	0	0	0	1	1	4
4	Nikolaj Ehlers	Flyers	LW/RW	43	16	26	42	11	6	0	34	68	163	45	99	9.82%	4	897	20.86	4	2	6	37	107	0	0	0	0	0	2	1	42.55%	47	0	0.94	1	3	0	5	1	2
5	Nazem Kadri	Flyers	C/LW	43	12	16	28	-1	14	0	59	89	99	36	78	12.12%	2	724	16.84	0	2	2	12	93	0	0	0	0	1	2	1	52.07%	870	1	0.77	0	1	0	3	3	2
6	Jacob Trouba	Flyers	D	41	4	22	26	5	48	0	153	54	33	3	24	12.12%	62	912	22.25	0	0	0	0	3	0	0	0	0	71	1	0	0.00%	0	0	0.57	0	0	0	0	1	3
7	Dmitry Orlov	Flyers	D	43	6	17	23	-2	22	0	77	57	53	26	27	11.32%	34	872	20.28	2	3	5	29	94	0	0	0	0	18	1	2	0.00%	0	0	0.53	0	0	0	1	1	0
8	Anders Lee	Flyers	C/LW	43	10	13	23	0	16	0	97	36	94	26	80	10.64%	1	774	18.00	1	3	4	17	102	0	0	0	0	0	2	1	39.47%	76	0	0.59	1	2	0	0	1	2
9	Matt Niskanen	Flyers	D	43	8	14	22	3	30	0	81	53	78	16	43	10.26%	54	929	21.61	2	3	5	41	95	0	0	0	0	94	1	1	0.00%	0	0	0.47	0	0	0	1	0	2
10	Kevin Hayes	Flyers	C/RW	42	8	11	19	-1	10	0	50	57	83	29	73	9.64%	3	697	16.60	0	0	0	2	27	2	0	2	3	121	0	1	42.40%	217	0	0.55	0	0	0	1	2	0
11	Joel Farabee	Flyers	LW/RW	43	6	11	17	-2	4	0	22	49	121	38	74	4.96%	5	626	14.56	1	0	1	22	92	0	0	0	0	0	0	1	38.46%	52	0	0.54	0	2	0	1	0	1
12	Mikael Backlund	Flyers	C/RW	42	9	7	16	-3	6	0	21	76	98	28	65	9.18%	8	682	16.25	1	2	3	11	54	1	0	1	2	81	0	0	55.21%	634	0	0.47	0	0	0	1	0	0
13	Mario Ferraro	Flyers	D	43	0	12	12	3	20	0	83	35	23	9	17	0.00%	32	685	15.94	0	1	1	9	27	0	1	1	0	78	0	0	0.00%	0	0	0.35	0	0	0	1	0	1
14	Brad Richardson	Flyers	C/LW/RW	42	5	3	8	-4	8	0	30	38	44	9	28	11.36%	6	336	8.02	0	1	1	1	13	0	0	0	0	60	1	0	53.68%	95	0	0.48	0	0	0	0	0	0
15	Mikko Koivu	Flyers	C	41	4	3	7	-3	2	0	8	59	30	5	11	13.33%	6	355	8.66	0	0	0	0	0	0	3	3	1	77	0	0	52.86%	420	0	0.39	0	0	0	0	0	0
16	Nate Thompson	Flyers	C/LW	42	3	4	7	-4	14	0	26	20	28	6	27	10.71%	2	297	7.07	0	0	0	1	3	0	0	0	0	16	0	0	60.00%	50	0	0.47	0	0	0	0	0	1
17	Sean Kuraly	Flyers	C/LW	43	3	4	7	6	12	0	64	30	41	13	37	7.32%	4	459	10.69	0	0	0	0	0	0	0	0	0	29	1	0	46.03%	126	0	0.30	0	0	0	0	0	0
18	Justin Braun	Flyers	D	43	0	6	6	2	17	5	41	25	19	5	12	0.00%	46	669	15.56	0	0	0	1	0	0	0	0	1	90	0	0	0.00%	0	0	0.18	0	0	1	0	0	1
19	Oscar Fantenberg	Phantoms (PHI)	D	2	0	1	1	-2	0	0	1	2	0	0	0	0.00%	3	25	12.63	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0.79	0	0	0	0	0	0
20	Morgan Frost	Flyers	C	3	0	0	0	-4	0	0	1	2	2	2	5	0.00%	0	24	8.27	0	0	0	0	0	0	0	0	0	0	0	0	52.78%	36	0	0.00	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				771	148	263	411	33	271	5	985	1037	1413	415	972	10.47%	331	12798	16.60	21	36	57	282	1037	3	5	8	7	809	21	11	52.66%	3952	1	0.64	2	14	1	20	19	25

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Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2
1	Robin Lehner	Flyers	29	15	10	2	0.909	2.74	1642	6	75	827	3	2	0.800	5	27	16	0	2
2	Jonathan Bernier	Flyers	17	7	7	2	0.887	3.40	952	0	54	476	0	3	0.778	9	16	27	1	0
Statistiques d’équipe totales ou en moyenne			46	22	17	4	0.901	2.98	2594	6	129	1303	3	5	0.786	14	43	43	1	2

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Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Link
Anders Lee	Flyers	C/LW	30	1990-07-03	No	235 Lbs	6 ft3	No	No	No	6	Pro & Farm	7,000,000$	7,000,000$	3,552,239$	No	7,000,000$	7,000,000$	7,000,000$	7,000,000$	7,000,000$	Lien / Lien NHL
Brad Richardson	Flyers	C/LW/RW	35	1985-02-04	No	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,250,000$	1,250,000$	634,328$	No						Lien / Lien NHL
Claude Giroux	Flyers	C/LW/RW	32	1988-01-12	No	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	8,275,000$	8,275,000$	4,199,254$	No	8,275,000$					Lien / Lien NHL
Devon Toews	Flyers	D	26	1994-02-21	No	191 Lbs	6 ft1	No	No	No	4	Pro & Farm	4,100,000$	4,100,000$	2,080,597$	No	4,100,000$	4,100,000$	4,100,000$			Lien / Lien NHL
Dmitry Orlov	Flyers	D	29	1991-07-23	No	211 Lbs	5 ft11	No	No	No	3	Pro & Farm	5,100,000$	5,100,000$	2,588,060$	No	5,100,000$	5,100,000$				Lien / Lien NHL
Jacob Trouba	Flyers	D	26	1994-02-26	No	209 Lbs	6 ft3	No	No	No	6	Pro & Farm	8,000,000$	8,000,000$	4,059,701$	No	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	Lien / Lien NHL
Joel Farabee	Flyers	LW/RW	20	2000-02-25	No	164 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,425,000$	1,425,000$	723,134$	No	1,425,000$					Lien / Lien NHL
Jonathan Bernier	Flyers	G	32	1988-08-07	No	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	3,000,000$	3,000,000$	1,522,388$	No						Lien / Lien NHL
Justin Braun	Flyers	D	33	1987-02-10	No	205 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,800,000$	1,800,000$	913,433$	No	1,800,000$					Lien / Lien NHL
Kevin Hayes (sur la masse salariale)	Flyers	C/RW	28	1992-05-08	No	216 Lbs	6 ft5	No	No	No	6	Pro & Farm	7,142,857$	0$	0$	Yes	7,142,857$	7,142,857$	7,142,857$	7,142,857$	7,142,857$	Lien / Lien NHL
Mario Ferraro	Flyers	D	22	1998-09-17	No	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	1,137,500$	1,137,500$	577,239$	No	1,137,500$					Lien / Lien NHL
Martin Necas	Flyers	C/RW	21	1999-01-15	No	189 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,431,666$	1,431,666$	726,517$	No						Lien / Lien NHL
Matt Niskanen	Flyers	D	33	1986-12-06	No	203 Lbs	6 ft1	No	No	No	1	Pro & Farm	5,750,000$	5,750,000$	2,917,910$	No						Lien / Lien NHL
Mikael Backlund	Flyers	C/RW	31	1989-03-17	No	200 Lbs	6 ft0	No	No	No	4	Pro & Farm	5,350,000$	5,350,000$	2,714,925$	No	5,350,000$	5,350,000$	5,350,000$			Lien / Lien NHL
Mikko Koivu	Flyers	C	37	1983-03-12	No	213 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,750,000$	1,750,000$	888,060$	No						Lien / Lien NHL
Morgan Frost	Flyers	C	21	1999-05-14	No	170 Lbs	5 ft11	No	No	No	2	Pro & Farm	863,333$	863,333$	438,109$	No	863,333$					Lien / Lien NHL
Nate Thompson	Flyers	C/LW	36	1984-10-05	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	380,597$	No						Lien / Lien NHL
Nazem Kadri	Flyers	C/LW	30	1990-10-06	No	192 Lbs	6 ft0	No	No	No	2	Pro & Farm	4,500,000$	4,500,000$	2,283,582$	No	4,500,000$					Lien / Lien NHL
Nikolaj Ehlers	Flyers	LW/RW	24	1996-02-14	No	172 Lbs	6 ft0	No	No	No	5	Pro & Farm	6,000,000$	6,000,000$	3,044,776$	No	6,000,000$	6,000,000$	6,000,000$	6,000,000$		Lien / Lien NHL
Robin Lehner	Flyers	G	29	1991-07-24	No	250 Lbs	6 ft4	No	No	No	5	Pro & Farm	5,000,000$	5,000,000$	2,537,313$	No	5,000,000$	5,000,000$	5,000,000$	5,000,000$		Lien / Lien NHL
Sean Kuraly	Flyers	C/LW	27	1993-01-20	No	213 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,275,000$	1,275,000$	647,015$	No						Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	28.67	199 Lbs	6 ft1	2.76	3,852,398$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
80,900,356$	65,693,690$	47,692,857$	42,592,857$	33,142,857$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Nikolaj Ehlers	Claude Giroux	Martin Necas	38	1	1	3
2	Anders Lee	Nazem Kadri	Mikael Backlund	30	1	2	2
3	Sean Kuraly	Morgan Frost	Joel Farabee	20	0	2	3
4	Nate Thompson	Mikko Koivu	Brad Richardson	12	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jacob Trouba	Devon Toews	35	1	2	2
2	Dmitry Orlov	Matt Niskanen	30	1	2	2
3	Mario Ferraro	Justin Braun	25	1	2	2
4	Jacob Trouba	Devon Toews	10	0	2	3

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Anders Lee	Claude Giroux	Martin Necas	60	0	1	4
2	Joel Farabee	Nazem Kadri	Mikael Backlund	40	1	1	3

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Nikolaj Ehlers	Devon Toews	60	0	2	3
2	Matt Niskanen	Dmitry Orlov	40	0	1	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Mikko Koivu	Mikael Backlund	65	1	3	1
2	Sean Kuraly	Brad Richardson	35	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jacob Trouba	Matt Niskanen	60	1	2	2
2	Justin Braun	Mario Ferraro	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Claude Giroux	60	0	5	0	Jacob Trouba	Matt Niskanen	60	0	5	0
2	Mikael Backlund	40	0	5	0	Justin Braun	Mario Ferraro	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Claude Giroux	Martin Necas	60	0	2	3
2	Nazem Kadri	Nikolaj Ehlers	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jacob Trouba	Devon Toews	50	1	2	2
2	Matt Niskanen	Dmitry Orlov	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Anders Lee	Claude Giroux	Nikolaj Ehlers	Devon Toews	Dmitry Orlov

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Sean Kuraly	Claude Giroux	Mikael Backlund	Jacob Trouba	Matt Niskanen

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Joel Farabee, Morgan Frost, Sean Kuraly	Morgan Frost, Nate Thompson	Nate Thompson

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Dmitry Orlov, Mario Ferraro, Justin Braun	Justin Braun	Devon Toews, Dmitry Orlov

Tirs de pénalité
Martin Necas, Nikolaj Ehlers, Claude Giroux, Joel Farabee, Anders Lee

Gardien
#1 : Robin Lehner, #2 : Jonathan Bernier

Lignes d’attaque personnalisées en prolongation
Claude Giroux, Nikolaj Ehlers, Anders Lee, Martin Necas, Nazem Kadri, Mikael Backlund, Mikael Backlund, Joel Farabee, Sean Kuraly, Brad Richardson, Morgan Frost

Lignes de défense personnalisées en prolongation
Jacob Trouba, Devon Toews, Matt Niskanen, Dmitry Orlov, Mario Ferraro

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	Avalanche	1	0	0	0	0	1	0	0	4	5	-1	1	0	0	0	0	1	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	4	8	12	0	0	1	2	1	0	41	17	15	9	0	45	4	4	30	2	0	0.00%	2	0	100.00%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	23	16	24	6	12	6
2	Bruins	3	0	1	0	1	1	0	0	10	12	-2	2	0	1	0	1	0	0	0	5	6	-1	1	0	0	0	0	1	0	0	5	6	-1	3	0.500	10	18	28	0	0	5	3	1	1	97	39	40	17	1	74	25	12	59	9	3	33.33%	6	1	83.33%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	72	51	69	21	39	19
3	Canadiens	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	2	1	0	0	30	8	15	7	0	18	3	4	18	3	0	0.00%	2	0	100.00%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	24	17	21	7	13	6
4	Canucks	2	2	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	5	10	15	0	0	1	3	1	0	43	12	20	11	0	72	18	12	45	4	0	0.00%	5	0	100.00%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	42	28	53	14	24	11
5	Capitals	2	0	2	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	5	10	15	0	0	2	2	1	0	85	24	24	37	0	71	18	12	34	8	0	0.00%	6	0	100.00%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	51	38	44	14	23	11
6	Coyotes	2	0	0	0	0	0	1	1	6	6	0	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	1	0	4	3	1	3	0.750	6	10	16	0	0	2	1	2	2	64	16	19	20	18	60	12	10	49	4	0	0.00%	5	2	60.00%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	54	40	49	14	26	13
7	Devils	3	2	1	0	0	0	0	0	11	6	5	1	1	0	0	0	0	0	0	3	1	2	2	1	1	0	0	0	0	0	8	5	3	4	0.667	11	17	28	0	0	4	6	1	0	97	34	33	30	0	65	17	20	51	8	3	37.50%	8	1	87.50%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	72	51	66	21	40	20
8	Ducks	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	0	0	0	0	0	0	0	0	0	26	10	8	8	0	28	8	4	26	4	0	0.00%	2	1	50.00%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	22	15	24	7	12	6
9	Flames	2	0	1	0	1	0	0	0	7	8	-1	1	0	1	0	0	0	0	0	3	5	-2	1	0	0	0	1	0	0	0	4	3	1	2	0.500	7	14	21	1	0	3	3	0	1	73	20	23	28	2	60	14	6	49	6	1	16.67%	3	1	66.67%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	51	37	45	13	24	12
10	Golden Knights	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	3	4	-1	1	0.500	3	5	8	0	0	1	1	1	0	31	8	11	10	7	41	15	8	24	1	1	100.00%	4	0	100.00%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	25	16	26	8	13	6
11	Hurricanes	3	0	3	0	0	0	0	0	9	16	-7	2	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	9	16	25	2	0	4	2	3	0	82	23	30	29	0	95	39	16	79	8	2	25.00%	6	1	83.33%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	71	50	71	20	36	18
12	Islanders	2	1	0	0	1	0	0	0	11	8	3	1	1	0	0	0	0	0	0	7	5	2	1	0	0	0	1	0	0	0	4	3	1	4	1.000	11	21	32	0	0	2	5	3	1	79	18	28	31	2	75	15	36	61	9	3	33.33%	14	4	71.43%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	50	35	44	14	25	12
13	Kings	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	5	8	0	0	1	1	1	0	24	11	8	5	0	28	9	2	18	0	0	0.00%	1	1	0.00%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	23	16	22	6	13	6
14	Kraken	2	1	0	0	1	0	0	0	10	7	3	1	0	0	0	1	0	0	0	6	5	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	10	15	25	0	0	4	1	4	1	73	19	21	31	2	50	14	10	41	7	0	0.00%	5	1	80.00%	1	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	53	38	41	13	26	13
15	Lightning	3	1	1	0	1	0	0	0	10	9	1	2	0	1	0	1	0	0	0	7	7	0	1	1	0	0	0	0	0	0	3	2	1	4	0.667	10	17	27	0	0	2	5	2	1	88	27	24	35	2	79	20	16	83	10	3	30.00%	8	3	62.50%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	74	53	68	20	37	20
16	Maple Leafs	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	1	0	1	1	0	0	28	6	10	12	0	28	3	6	24	4	0	0.00%	2	0	100.00%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	25	18	22	7	12	6
17	Oilers	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	5	8	0	0	0	1	1	1	32	9	13	7	3	35	10	10	25	3	1	33.33%	5	1	80.00%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	25	16	24	7	13	6
18	Panthers	2	2	0	0	0	0	0	0	11	5	6	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	6	3	3	4	1.000	11	21	32	0	0	2	3	6	0	70	21	21	28	0	56	11	6	50	4	0	0.00%	2	1	50.00%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	47	33	47	14	25	13
19	Penguins	3	2	1	0	0	0	0	0	11	8	3	1	1	0	0	0	0	0	0	4	1	3	2	1	1	0	0	0	0	0	7	7	0	4	0.667	11	19	30	0	0	4	4	3	0	93	28	32	33	0	102	22	25	63	9	3	33.33%	8	2	75.00%	1	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	70	48	69	21	40	20
20	Rangers	2	0	2	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	6	12	18	1	0	0	3	3	0	79	29	19	31	0	78	8	10	38	1	0	0.00%	5	1	80.00%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	48	34	44	12	26	13
21	Red Wings	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	1	0	1	0	34	10	12	12	0	40	7	12	23	1	0	0.00%	6	0	100.00%	1	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	24	16	22	6	12	6
22	Senateurs	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	2	2	0	0	31	15	7	9	0	27	5	6	18	1	0	0.00%	3	0	100.00%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	26	19	21	6	11	5
23	Sharks	2	1	1	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	5	9	14	0	0	1	3	1	0	65	13	23	29	0	42	15	12	39	6	1	16.67%	4	0	100.00%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	52	36	42	14	25	13
24	Stars	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	1	1	2	0	24	9	5	10	0	39	16	10	23	1	0	0.00%	5	0	100.00%	0	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	20	13	26	7	12	5
	Total	43	15	17	0	6	2	1	2	145	136	9	21	7	9	0	3	1	0	1	70	68	2	22	8	8	0	3	1	1	1	75	68	7	48	0.558	145	260	405	5	0	46	54	38	8	1389	426	461	479	37	1308	328	269	970	113	21	18.58%	117	21	82.05%	3	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	1057	746	999	305	549	276
	_Since Last GM Reset	43	15	17	0	6	2	1	2	145	136	9	21	7	9	0	3	1	0	1	70	68	2	22	8	8	0	3	1	1	1	75	68	7	48	0.558	145	260	405	5	0	46	54	38	8	1389	426	461	479	37	1308	328	269	970	113	21	18.58%	117	21	82.05%	3	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	1057	746	999	305	549	276
	_Vs Conference	27	10	13	0	3	1	0	0	95	90	5	15	5	8	0	2	0	0	0	49	48	1	12	5	5	0	1	1	0	0	46	42	4	27	0.500	95	171	266	4	0	31	37	24	3	893	282	295	311	5	808	193	181	601	75	17	22.67%	76	14	81.58%	2	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	661	469	616	190	344	174
	_Vs Division	15	5	9	0	1	0	0	0	53	54	-1	7	3	4	0	0	0	0	0	24	25	-1	8	2	5	0	1	0	0	0	29	29	0	12	0.400	53	95	148	3	0	16	22	14	1	515	156	166	191	2	486	119	119	326	43	11	25.58%	47	9	80.85%	1	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	365	257	341	105	192	96

			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
43	48	L1	145	260	405	1389	1308	328	269	970	5	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
43	15	17	6	2	1	2	145	136

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
21	7	9	3	1	0	1	70	68

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	8	8	3	1	1	1	75	68

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
2	6	1	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
113	21	18.58%	117	21	82.05%	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
426	461	479	37	46	54	38	8

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
818	1543	53.01%	786	1483	53.00%	382	701	54.49%

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
1057	746	999	305	549	276

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
4 - 2021-10-15	18	Canucks	1	Flyers	2	BW			Sommaire du match
7 - 2021-10-18	36	Kraken	5	Flyers	6	BW	X		Sommaire du match
9 - 2021-10-20	50	Bruins	5	Flyers	3	BL			Sommaire du match
12 - 2021-10-23	72	Panthers	2	Flyers	5	BW			Sommaire du match
16 - 2021-10-27	101	Flyers	3	Oilers	2	AW	X		Sommaire du match
17 - 2021-10-28	106	Flyers	3	Canucks	2	AW			Sommaire du match
19 - 2021-10-30	125	Flyers	4	Flames	3	AW	X		Sommaire du match
22 - 2021-11-02	137	Coyotes	3	Flyers	2	BL	X	X	Sommaire du match
24 - 2021-11-04	153	Flyers	2	Penguins	5	AL			Sommaire du match
26 - 2021-11-06	168	Flyers	3	Capitals	4	AL			Sommaire du match
30 - 2021-11-10	192	Maple Leafs	4	Flyers	2	BL			Sommaire du match
32 - 2021-11-12	208	Flyers	4	Hurricanes	6	AL			Sommaire du match
33 - 2021-11-13	220	Flyers	4	Stars	2	AW			Sommaire du match
36 - 2021-11-16	236	Flames	5	Flyers	3	BL			Sommaire du match
38 - 2021-11-18	252	Lightning	4	Flyers	5	BW	X		Sommaire du match
40 - 2021-11-20	268	Bruins	1	Flyers	2	BW	X		Sommaire du match
43 - 2021-11-23	287	Flyers	3	Lightning	2	AW			Sommaire du match
44 - 2021-11-24	291	Flyers	6	Panthers	3	AW			Sommaire du match
46 - 2021-11-26	306	Hurricanes	5	Flyers	3	BL			Sommaire du match
48 - 2021-11-28	328	Flyers	3	Devils	4	AL			Sommaire du match
50 - 2021-11-30	340	Islanders	5	Flyers	7	BW			Sommaire du match
51 - 2021-12-01	346	Flyers	3	Rangers	4	AL			Sommaire du match
55 - 2021-12-05	377	Lightning	3	Flyers	2	BL			Sommaire du match
56 - 2021-12-06	383	Avalanche	5	Flyers	4	BL	X		Sommaire du match
58 - 2021-12-08	398	Flyers	5	Devils	1	AW			Sommaire du match
60 - 2021-12-10	418	Flyers	3	Golden Knights	4	AL	X	X	Sommaire du match
61 - 2021-12-11	425	Flyers	4	Coyotes	3	AW	X	X	Sommaire du match
64 - 2021-12-14	440	Devils	1	Flyers	3	BW			Sommaire du match
66 - 2021-12-16	454	Flyers	3	Canadiens	2	AW			Sommaire du match
68 - 2021-12-18	474	Senateurs	1	Flyers	4	BW			Sommaire du match
71 - 2021-12-21	496	Capitals	3	Flyers	2	BL			Sommaire du match
73 - 2021-12-23	513	Flyers	5	Penguins	2	AW			Sommaire du match
79 - 2021-12-29	550	Flyers	4	Kraken	2	AW			Sommaire du match
80 - 2021-12-30	558	Flyers	1	Sharks	2	AL			Sommaire du match
82 - 2022-01-01	573	Flyers	3	Kings	4	AL			Sommaire du match
85 - 2022-01-04	594	Flyers	0	Ducks	2	AL			Sommaire du match
87 - 2022-01-06	604	Penguins	1	Flyers	4	BW			Sommaire du match
89 - 2022-01-08	617	Sharks	1	Flyers	4	BW			Sommaire du match
92 - 2022-01-11	639	Hurricanes	5	Flyers	2	BL			Sommaire du match
94 - 2022-01-13	650	Flyers	5	Bruins	6	AL	X		Sommaire du match
96 - 2022-01-15	672	Rangers	5	Flyers	3	BL			Sommaire du match
98 - 2022-01-17	688	Flyers	4	Islanders	3	AW	X		Sommaire du match
99 - 2022-01-18	694	Red Wings	3	Flyers	2	BL			Sommaire du match
101 - 2022-01-20	706	Blue Jackets	-	Flyers	-
103 - 2022-01-22	721	Flyers	-	Sabres	-
105 - 2022-01-24	739	Stars	-	Flyers	-
106 - 2022-01-25	748	Flyers	-	Islanders	-
110 - 2022-01-29	773	Kings	-	Flyers	-
113 - 2022-02-01	800	Jets	-	Flyers	-
135 - 2022-02-23	811	Flyers	-	Red Wings	-
138 - 2022-02-26	830	Capitals	-	Flyers	-
140 - 2022-02-28	847	Blues	-	Flyers	-
141 - 2022-03-01	852	Oilers	-	Flyers	-
143 - 2022-03-03	866	Wild	-	Flyers	-
145 - 2022-03-05	881	Blackhawks	-	Flyers	-
148 - 2022-03-08	903	Golden Knights	-	Flyers	-
150 - 2022-03-10	920	Flyers	-	Panthers	-
152 - 2022-03-12	933	Flyers	-	Hurricanes	-
153 - 2022-03-13	946	Canadiens	-	Flyers	-
157 - 2022-03-17	970	Predators	-	Flyers	-
158 - 2022-03-18	977	Flyers	-	Senateurs	-
160 - 2022-03-20	994	Islanders	-	Flyers	-
162 - 2022-03-22	1008	Flyers	-	Red Wings	-
164 - 2022-03-24	1023	Flyers	-	Blues	-
165 - 2022-03-25	1031	Flyers	-	Avalanche	-
167 - 2022-03-27	1049	Flyers	-	Predators	-
169 - 2022-03-29	1065	Flyers	-	Wild	-
173 - 2022-04-02	1094	Maple Leafs	-	Flyers	-
174 - 2022-04-03	1103	Flyers	-	Rangers	-
176 - 2022-04-05	1117	Blue Jackets	-	Flyers	-
178 - 2022-04-07	1130	Flyers	-	Blue Jackets	-
180 - 2022-04-09	1148	Ducks	-	Flyers	-
183 - 2022-04-12	1169	Flyers	-	Capitals	-
184 - 2022-04-13	1177	Rangers	-	Flyers	-
187 - 2022-04-16	1200	Flyers	-	Sabres	-
188 - 2022-04-17	1211	Sabres	-	Flyers	-
190 - 2022-04-19	1220	Flyers	-	Maple Leafs	-
192 - 2022-04-21	1233	Flyers	-	Canadiens	-
195 - 2022-04-24	1264	Penguins	-	Flyers	-
196 - 2022-04-25	1271	Flyers	-	Blackhawks	-
198 - 2022-04-27	1286	Flyers	-	Jets	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
200 - 2022-04-29	1303	Senateurs	-	Flyers	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	100	60	35	25	200
Assistance	120,759	98,855	39,939	77,991	20,065
Attendance PCT	95.84%	94.15%	95.09%	92.85%	95.55%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
20	17029 - 94.61%	1,207,992$	25,367,840$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
39,257,776$	73,757,499$	36,181,666$	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
73,757,499$	39,159,989$	0$	20	1

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
24,159,848$	102	367,450$	37,479,900$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
38,635,254$	984,928,810$	970,453,404$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
73,757,499$	7,742,501$	81,500,000$	13,557,499$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Claude Giroux	AGE:32	PO:0	OV:74
Anders Lee	AGE:30	PO:0	OV:72
Nikolaj Ehlers	AGE:24	PO:0	OV:71
Nazem Kadri	AGE:30	PO:0	OV:70
Joel Farabee	AGE:20	PO:0	OV:69
Brad Richardson	AGE:35	PO:0	OV:68
Sean Kuraly	AGE:27	PO:0	OV:68
Nate Thompson	AGE:36	PO:0	OV:67
Tobias Rieder	AGE:27	PO:0	OV:66
Christoffer Ehn	AGE:24	PO:0	OV:64
J.C. Beaudin	AGE:23	PO:0	OV:63
Valentin Zykov	AGE:25	PO:0	OV:63
Boo Nieves	AGE:26	PO:0	OV:62
CJ Suess	AGE:26	PO:0	OV:62
Bokondji Imama	AGE:24	PO:0	OV:60
Gabriel Fontaine	AGE:23	PO:0	OV:58

Claude Giroux	AGE:32	PO:0	OV:74
Martin Necas	AGE:21	PO:0	OV:72
Kevin Hayes	AGE:28	PO:0	OV:72
Anders Lee	AGE:30	PO:0	OV:72
Mikael Backlund	AGE:31	PO:0	OV:71
Nazem Kadri	AGE:30	PO:0	OV:70
Brad Richardson	AGE:35	PO:0	OV:68
Mikko Koivu	AGE:37	PO:0	OV:68
Sean Kuraly	AGE:27	PO:0	OV:68
Nate Thompson	AGE:36	PO:0	OV:67
Riley Nash	AGE:31	PO:0	OV:66
Tobias Rieder	AGE:27	PO:0	OV:66
Morgan Frost	AGE:21	PO:0	OV:65
Justin Richards (R)	AGE:22	PO:0	OV:65
Christoffer Ehn	AGE:24	PO:0	OV:64
Tyson Foerster (R)	AGE:18	PO:0	OV:64
J.C. Beaudin	AGE:23	PO:0	OV:63
Boo Nieves	AGE:26	PO:0	OV:62
Mikhail Vorobyev	AGE:23	PO:0	OV:62
Zayde Wisdom (R)	AGE:18	PO:0	OV:61

Claude Giroux	AGE:32	PO:0	OV:74
Martin Necas	AGE:21	PO:0	OV:72
Kevin Hayes	AGE:28	PO:0	OV:72
Mikael Backlund	AGE:31	PO:0	OV:71
Nikolaj Ehlers	AGE:24	PO:0	OV:71
Joel Farabee	AGE:20	PO:0	OV:69
Brad Richardson	AGE:35	PO:0	OV:68
Riley Nash	AGE:31	PO:0	OV:66
Tobias Rieder	AGE:27	PO:0	OV:66
Christoffer Ehn	AGE:24	PO:0	OV:64
Keegan Kolesar	AGE:23	PO:0	OV:64
Matt Read	AGE:34	PO:0	OV:63
J.C. Beaudin	AGE:23	PO:0	OV:63

Défense #1

Défense #2

Gardien

Devon Toews	AGE:26	PO:0	OV:72
Jacob Trouba	AGE:26	PO:0	OV:71
Matt Niskanen	AGE:33	PO:0	OV:71
Dmitry Orlov	AGE:29	PO:0	OV:71
Mario Ferraro	AGE:22	PO:0	OV:68
Justin Braun	AGE:33	PO:0	OV:67

Oscar Fantenberg	AGE:29	PO:0	OV:66
Dan Hamhuis	AGE:37	PO:0	OV:65
Dillon Heatherington	AGE:25	PO:0	OV:62
Chris Bigras	AGE:25	PO:0	OV:61
Gustav Olofsson	AGE:25	PO:0	OV:61
Brandon Crawley (R)	AGE:23	PO:0	OV:58

Robin Lehner	AGE:29	PO:0	OV:74
Jonathan Bernier	AGE:32	PO:0	OV:72
Keith Kinkaid	AGE:31	PO:0	OV:65
Hunter Miska	AGE:25	PO:0	OV:64
Michael Houser (R)	AGE:28	PO:0	OV:64
Jon Gillies	AGE:26	PO:0	OV:62
Antoine Bibeau	AGE:26	PO:0	OV:60
Tyler Wall (R)	AGE:22	PO:0	OV:58

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	Lien
Andrei Markov	Flyers
Arvid Costmar	Flyers	9	124
Bobby Butler	Flyers			Lien
Conner Hurley	Flyers	3	77
Dan Girardi	Flyers			Lien
Dennis Rasmussen	Flyers
Emil Andrae	Flyers	10	83
Greg Rallo	Flyers
Gustav Possler	Flyers	3	68
Hayden Hawkey	Flyers	4	153
Henri Ikonen	Flyers
Jakub Kindl	Flyers
Joel Vermin	Flyers
Rodion Amirov	Flyers	10	25
Viktor Loov	Flyers

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6
11
12
13
14
15

[2021-11-13 9:30:00 PM] - Mikko Koivu has been selected as assistant for Flyers.
[2021-11-13 9:30:00 PM] - Kevin Hayes is no longer as assistant for Flyers.
[2021-11-06 9:54:32 PM] - Riley Nash is no longer as assistant for Phantoms.
[2021-11-06 9:54:32 PM] - Dan Hamhuis has been selected as assistant for Phantoms.
[2021-11-06 9:54:32 PM] - Gustav Olofsson is no longer as assistant for Phantoms.
[2021-11-06 9:54:32 PM] - Riley Nash has been selected as captain for Phantoms.
[2021-11-06 9:54:32 PM] - Matt Read is no longer captain for Phantoms.
[2021-10-29 8:44:31 PM] - TRADE : From Flyers to Devils : Oskar Lindblom (69), Ondrej Kase (67), Michael Grabner (68), Martin Frk (67), Y:11-RND:3-PHI, Y:12-RND:3-PHI.
[2021-10-29 8:44:31 PM] - TRADE : From Devils to Flyers : Mikael Backlund (71), Brad Richardson (68), Nate Thompson (67).
[2021-09-27 7:52:02 PM] - Riley Nash has been selected as assistant for Phantoms.
[2021-09-27 7:52:02 PM] - Unknown Player is no longer as assistant for Phantoms.
[2021-09-27 7:52:02 PM] - Gustav Olofsson has been selected as assistant for Phantoms.
[2021-09-27 7:52:02 PM] - Unknown Player is no longer as assistant for Phantoms.
[2021-09-17 9:49:36 PM] - TRADE : From Flyers to Sharks : Evan Rodrigues (66), Y:13-RND:4-PHI.
[2021-09-17 9:49:36 PM] - TRADE : From Sharks to Flyers : Mikko Koivu (68), Y:11-RND:6-PHI.
[2021-09-17 9:49:06 PM] - TRADE : From Flyers to Panthers : Y:11-RND:2-FLO.
[2021-09-17 9:49:06 PM] - TRADE : From Panthers to Flyers : Jonathan Bernier (73).
[2021-09-11 7:01:20 PM] - Kevin Hayes has been selected as assistant for Flyers.
[2021-09-11 7:01:20 PM] - Jacob Trouba is no longer as assistant for Flyers.
[2021-09-11 7:01:20 PM] - Anders Lee has been selected as assistant for Flyers.
[2021-09-11 7:01:20 PM] - Kevin Hayes is no longer as assistant for Flyers.
[2021-09-11 9:34:06 AM] - Flyers hired Dominique Ducharme for $100,000 for 9 year(s).
[2021-09-10 9:31:17 PM] - TRADE : From Jets to Flyers : Anders Lee (72), Dmitry Orlov (71), Mario Ferraro (68), Matt Niskanen (71), Y:11-RND:6-CAR.
[2021-09-10 9:31:17 PM] - TRADE : From Flyers to Jets : Christian Fischer (67), Dylan DeMelo (67), Y:11-RND:1-PHI, Y:11-RND:2-VGK, Y:12-RND:1-PHI, Y:13-RND:3-PHI.
[2021-09-07 10:58:35 PM] - Justin Richards was added to Flyers.
[2021-09-03 7:37:00 PM] - TRADE : From Islanders to Flyers : Tyler Wall (59).
[2021-09-03 7:37:00 PM] - TRADE : From Flyers to Islanders : Johnny Boychuk (67), Y:12-RND:4-PHI.
[2021-09-03 7:33:52 PM] - TRADE : From Flyers to Flames : Jeff Skinner (68), Micheal Ferland (65), Devan Dubnyk (68), Y:11-RND:2-PHI, Y:12-RND:2-PHI, Y:13-RND:2-PHI.
[2021-09-03 7:33:52 PM] - TRADE : From Flames to Flyers : Robin Lehner (75), Sean Kuraly (68).
[2021-08-30 8:09:49 AM] - Flyers fired John Tortorella.
[2021-08-25 9:26:25 PM] - Evan Rodrigues has been selected as assistant for Phantoms.
[2021-08-25 9:26:25 PM] - Unknown Player is no longer as assistant for Phantoms.
[2021-08-25 9:26:25 PM] - Oscar Fantenberg has been selected as assistant for Phantoms.
[2021-08-25 9:26:25 PM] - Unknown Player is no longer as assistant for Phantoms.
[2021-08-25 9:26:25 PM] - Matt Read has been selected as captain for Phantoms.
[2021-08-25 9:26:25 PM] - Unknown Player is no longer captain for Phantoms.
[2021-08-25 9:26:25 PM] - Jacob Trouba has been selected as assistant for Flyers.
[2021-08-25 9:26:25 PM] - Justin Braun is no longer as assistant for Flyers.
[2021-08-25 9:26:25 PM] - Kevin Hayes has been selected as assistant for Flyers.
[2021-08-25 9:26:25 PM] - Unknown Player is no longer as assistant for Flyers.
[2021-08-25 9:26:08 PM] - Zayde Wisdom was added to Flyers.

[2022-01-18 8:00:43 PM] Successfully loaded Flyers lines done with STHS Client - 3.3.0.0
[2022-01-18 8:00:43 PM] Morgan Frost of Flyers was sent to pro.
[2022-01-17 8:54:57 PM] Game 688 - Kevin Hayes from Flyers is injured (Back Spasms) and is out for 3 months.
[2022-01-14 10:09:38 PM] Successfully loaded Flyers lines done with STHS Client - 3.3.0.0
[2022-01-13 10:21:35 PM] Successfully loaded Flyers lines done with STHS Client - 3.3.0.0
[2022-01-07 8:01:16 PM] Successfully loaded Flyers lines done with STHS Client - 3.3.0.0
[2022-01-03 7:21:36 PM] Successfully loaded Flyers lines done with STHS Client - 3.3.0.0
[2021-12-28 8:54:17 PM] Successfully loaded Flyers lines done with STHS Client - 3.3.0.0
[2021-12-22 7:07:14 PM] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2021-12-19 8:26:58 PM] Successfully loaded Flyers lines done with STHS Client - 3.3.0.0
[2021-12-15 6:58:54 PM] Successfully loaded Flyers lines done with STHS Client - 3.3.0.0

Kevin Hayes est dehors pour 2 mois à cause de Back Spasms Injury.

Afficher ou masquer des colonnes

	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
Saison régulière
2	82	41	31	0	2	2	3	3	257	214	43	41	20	17	0	0	1	3	0	134	112	22	41	21	14	0	2	1	0	3	123	102	21	97	257	456	713	4	6	0	84	81	87	2799	0	919	940	920	2275	623	834	1518	368	71	19.29%	324	46	85.80%	2	1663	3164	52.56%	1426	2710	52.62%	664	1268	52.37%	2085	1472	1849	596	1027	525
3	82	35	25	0	7	1	6	8	230	195	35	41	17	11	0	4	0	3	6	117	103	14	41	18	14	0	3	1	3	2	113	92	21	105	230	404	634	3	8	0	83	66	68	2578	0	851	836	848	2105	621	1031	1623	345	46	13.33%	349	46	86.82%	3	1555	3015	51.58%	1336	2661	50.21%	601	1203	49.96%	2089	1470	1886	591	1030	522
4	82	40	30	0	0	7	3	2	226	207	19	41	26	11	0	0	3	0	1	128	99	29	41	14	19	0	0	4	3	1	98	108	-10	95	226	398	624	0	5	0	77	78	68	2354	0	746	764	834	2150	623	672	1796	247	38	15.38%	256	55	78.52%	1	1411	2758	51.16%	1384	2662	51.99%	657	1231	53.37%	1998	1397	1903	605	1055	521
5	82	47	23	0	4	3	3	2	285	205	80	41	24	12	0	2	2	1	0	138	91	47	41	23	11	0	2	1	2	2	147	114	33	113	285	510	795	3	6	0	92	90	96	2677	0	855	863	940	2221	600	564	1634	273	56	20.51%	229	40	82.53%	0	1593	2974	53.56%	1396	2636	52.96%	741	1346	55.05%	2054	1432	1831	597	1072	547
6	82	31	34	0	6	6	3	2	231	252	-21	41	14	16	0	5	3	3	0	125	128	-3	41	17	18	0	1	3	0	2	106	124	-18	88	231	425	656	2	0	0	79	74	69	2631	0	865	880	855	2586	688	683	1935	306	54	17.65%	273	58	78.75%	1	1568	2973	52.74%	1538	2901	53.02%	679	1263	53.76%	2037	1447	1916	581	1013	510
7	82	46	19	0	5	8	2	2	258	206	52	41	27	6	0	2	3	2	1	136	94	42	41	19	13	0	3	5	0	1	122	112	10	116	258	460	718	1	4	0	84	84	83	2649	0	843	894	888	2392	689	624	1874	281	54	19.22%	260	52	80.00%	2	1540	2930	52.56%	1447	2736	52.89%	614	1196	51.34%	2070	1484	1888	568	1000	509
8	82	37	27	0	4	2	6	6	224	194	30	41	22	11	0	2	2	2	2	119	90	29	41	15	16	0	2	0	4	4	105	104	1	102	224	405	629	1	3	0	75	59	80	2315	0	792	732	735	2251	658	813	1940	376	70	18.62%	347	49	85.88%	2	1531	2840	53.91%	1428	2793	51.13%	614	1194	51.42%	2036	1411	1913	615	1046	525
9	82	35	34	0	10	0	2	1	248	230	18	41	14	20	0	4	0	2	1	115	111	4	41	21	14	0	6	0	0	0	133	119	14	95	248	441	689	1	5	0	90	83	63	2397	0	800	816	753	2450	705	856	1955	314	66	21.02%	354	60	83.05%	5	1444	2841	50.83%	1488	2951	50.42%	614	1234	49.76%	1949	1342	1964	610	1034	513
10	43	15	17	0	6	2	1	2	145	136	9	21	7	9	0	3	1	0	1	70	68	2	22	8	8	0	3	1	1	1	75	68	7	48	145	260	405	5	0	46	54	38	8	1389	426	461	479	37	1308	328	269	970	113	21	18.58%	117	21	82.05%	3	818	1543	53.01%	786	1483	53.00%	382	701	54.49%	1057	746	999	305	549	276
Total Saison régulière	699	327	240	0	44	31	29	28	2104	1839	265	349	171	113	0	22	15	16	12	1082	896	186	350	156	127	0	22	16	13	16	1022	943	79	859	2104	3759	5863	20	37	46	718	653	622	21789	426	7132	7204	6810	19738	5535	6346	15245	2623	476	18.15%	2509	427	82.98%	19	13123	25038	52.41%	12229	23533	51.97%	5566	10636	52.33%	17379	12204	16153	5072	8830	4452
Séries éliminatoires
2	25	16	9	0	0	0	0	0	80	69	11	11	7	4	0	0	0	0	0	38	27	11	14	9	5	0	0	0	0	0	42	42	0	32	80	146	226	0	2	0	23	32	22	849	0	208	289	254	864	268	297	520	115	22	19.13%	101	16	84.16%	0	501	980	51.12%	508	1000	50.80%	194	391	49.62%	678	476	645	204	346	172
3	17	10	7	0	0	0	0	0	44	41	3	9	4	5	0	0	0	0	0	24	28	-4	8	6	2	0	0	0	0	0	20	13	7	20	44	80	124	0	1	0	8	20	15	462	0	122	159	165	428	122	242	369	90	8	8.89%	66	8	87.88%	0	307	616	49.84%	272	559	48.66%	115	239	48.12%	447	312	383	124	213	110
4	4	0	4	0	0	0	0	0	9	13	-4	2	0	2	0	0	0	0	0	5	7	-2	2	0	2	0	0	0	0	0	4	6	-2	0	9	16	25	0	0	0	4	1	4	101	0	28	33	39	116	28	30	101	8	1	12.50%	9	1	88.89%	0	64	127	50.39%	59	122	48.36%	38	65	58.46%	98	69	93	28	54	27
5	24	13	11	0	0	0	0	0	63	59	4	13	6	7	0	0	0	0	0	36	39	-3	11	7	4	0	0	0	0	0	27	20	7	26	63	112	175	1	4	0	24	19	19	828	0	251	246	244	819	236	188	462	77	15	19.48%	78	13	83.33%	0	519	956	54.29%	483	942	51.27%	197	379	51.98%	611	426	614	190	328	160
7	20	16	4	0	0	0	0	0	77	46	31	11	8	3	0	0	0	0	0	40	26	14	9	8	1	0	0	0	0	0	37	20	17	32	77	139	216	0	0	0	30	21	23	701	0	221	209	256	588	157	138	447	63	11	17.46%	56	11	80.36%	0	384	723	53.11%	363	700	51.86%	175	337	51.93%	503	360	473	142	253	129
8	27	16	11	0	0	0	0	0	77	75	2	13	8	5	0	0	0	0	0	36	30	6	14	8	6	0	0	0	0	0	41	45	-4	32	77	137	214	1	0	0	28	20	23	830	0	248	250	272	822	227	332	634	115	22	19.13%	131	22	83.21%	1	521	1050	49.62%	566	1033	54.79%	224	432	51.85%	691	471	687	220	373	184
9	9	4	5	0	0	0	0	0	31	27	4	4	1	3	0	0	0	0	0	11	13	-2	5	3	2	0	0	0	0	0	20	14	6	8	31	54	85	1	0	0	8	10	13	276	0	107	85	83	285	92	77	197	26	5	19.23%	32	5	84.38%	0	152	313	48.56%	152	329	46.20%	80	146	54.79%	215	149	215	65	113	56
Total Séries éliminatoires	126	75	51	0	0	0	0	0	381	330	51	63	34	29	0	0	0	0	0	190	170	20	63	41	22	0	0	0	0	0	191	160	31	150	381	684	1065	3	7	0	125	123	119	4047	0	1185	1271	1313	3922	1130	1304	2730	494	84	17.00%	473	76	83.93%	1	2448	4765	51.37%	2403	4685	51.29%	1023	1989	51.43%	3246	2265	3113	977	1683	841

	Flyers
	GP: 43 \| W: 22 \| L: 17 \| OTL: 4 \| P: 48 GF: 145 \| GA: 136 \| PP%: 18.58% \| PK%: 82.05% DG: Francois Gamache \| Morale : 50 \| Moyenne d’équipe : 70 Prochains matchs #706 vs Blue Jackets