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

Centre de jeu
	Flyers 42-29-9, 93pts	4	FINAL	1	Maple Leafs 40-34-6, 86pts

Team Stats
L1	Streak	L2
18-16-6	Home Record	23-16-1
24-13-3	Away Record	17-18-5
6-3-1	Last 10 Games	2-6-2
3.36	Goals Per Game	3.41
3.20	Goals Against Per Game	3.38
22.29%	Power Play Percentage	20.36%
81.28%	Penalty Kill Percentage	75.91%

Flyers
42-29-9, 93pts

FINAL

Oilers
41-28-11, 93pts

Team Stats
L1	Streak	W3
18-16-6	Home Record	22-13-5
24-13-3	Away Record	19-15-6
6-3-1	Last 10 Games	5-5-0
3.36	Goals Per Game	3.29
3.20	Goals Against Per Game	3.23
22.29%	Power Play Percentage	20.35%
81.28%	Penalty Kill Percentage	82.95%

Meneurs d'équipe
	Buts J.T. Miller 38	Passes Jordan Nolan 57

	Points Jakub Voracek 91	Plus/Moins Jakub Voracek 16

	Victoires Steve Mason 31	Pourcentage d’arrêts Ilya Sorokin 0.9

Statistiques d’équipe
Buts pour 269 3.36 GFG	Tirs pour 2607 32.59 Avg	Pourcentage en avantage numérique 22.3% 70 GF	Début de zone offensive 37.8%
Buts contre 256 3.20 GAA	Tirs contre 2462 30.78 Avg	Pourcentage en désavantage numérique 81.3% 70 GA	Début de la zone défensive 38.1%

Informations de l'équipe
	Directeur général	Simon DeChamplain
	Entraîneur	Pat Quinn
	Division	Lalancette K
	Conférence	Prince de Galles
	Capitaine	J.T. Miller
	Assistant #1	Jakub Voracek
	Assistant #2	Jeff Carter
Informations de l’aréna
	Nom	Wells Fargo Center
	Capacité	18,000
	Assistance	12,240
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	22
	Équipe Mineure	33
	Limite contact	55 / 250
	Espoirs	0
Plafond salarial
	Cap Salarial de la Saison estimé	59,641,559$
	Plafond salarial disponible	2,985,772$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	22
Finance
	Revenu annuel à ce jour	50,856,613$
	Dépenses annuelles à ce jour	62,290,846$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	2,627,331$
	Compte bancaire projeté	2,627,331$

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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	J.T. Miller (C)		X			100.00	75	39	86	79	82	88	84	80	84	89	83	76	79	65	50	54	65	79	1	23	1	3,200,000$
2	Jakub Voracek (A)			X		100.00	77	32	84	78	83	86	88	86	80	82	81	67	77	70	60	32	64	78	1	27	2	5,500,000$
3	Jeff Carter (A)	X				100.00	75	49	74	77	77	75	76	80	77	79	87	68	77	86	98	21	65	78	1	31	3	5,000,000$
4	Jordan Nolan	X				100.00	88	61	77	78	90	76	90	81	82	82	75	68	81	76	68	34	68	78	1	27	3	4,000,000$
5	Drew Miller		X			100.00	72	29	74	81	73	86	76	81	71	82	76	75	73	87	85	17	64	77	1	32	2	3,250,000$
6	Travis Zajac	X				100.00	75	42	86	79	80	80	75	81	73	78	81	68	74	84	79	22	65	77	1	31	4	4,000,000$
7	Niclas Bergfors			X		100.00	75	34	83	81	79	84	76	81	70	73	86	63	86	72	67	25	64	76	1	29	1	4,000,000$
8	Marcus Kruger			X		100.00	74	39	86	74	79	77	81	81	81	79	83	59	75	65	62	34	64	75	0	26	3	3,500,000$
9	Brock Nelson		X			100.00	78	35	86	78	75	77	76	81	72	75	77	64	75	62	59	41	64	74	0	25	2	1,500,000$
10	Matthew Lombardi	X				100.00	73	43	78	74	68	67	73	84	75	68	68	77	73	81	80	14	54	73	0	34	1	1,000,000$
11	Tyler Randell (R)			X		100.00	83	66	82	74	82	67	78	75	72	73	75	58	76	72	65	36	48	73	0	25	1	1,000,000$
12	Jacob Trouba				X	100.00	82	53	79	78	87	82	75	76	61	79	71	83	66	58	46	56	42	78	1	22	2	2,750,000$
13	Jeff Woywitka				X	100.00	78	42	82	71	76	75	77	81	65	81	59	80	66	93	79	14	64	77	1	33	1	2,500,000$
14	Matt Smaby				X	100.00	83	47	77	78	76	73	77	80	63	73	76	77	64	85	74	18	65	77	1	32	2	3,000,000$
15	Jonathan Ericsson				X	100.00	74	44	81	78	83	76	80	80	59	86	63	72	64	89	73	17	64	76	1	32	2	3,000,000$
16	Nathan Beaulieu				X	100.00	77	40	83	79	75	78	82	78	69	84	69	75	70	67	54	46	64	76	1	24	1	1,750,000$
17	Brian Lashoff				X	100.00	81	31	83	77	74	76	77	74	57	75	69	82	67	63	51	32	64	75	0	26	1	1,900,000$
18	Dylan Olsen (R)				X	100.00	79	34	76	71	77	80	76	71	55	76	72	76	64	67	49	35	24	73	0	25	1	600,000$
Rayé
1	Chris Mcallister		X			95.48	81	42	76	75	73	78	69	78	51	79	71	78	64	77	63	17	49	74	0	31	3	2,000,000$
2	Tomas Kubalik			X		100.00	70	32	81	77	76	81	77	77	72	69	75	67	70	62	52	36	20	72	0	26	2	950,000$
Équipe Mineure
1	Calle Jarnkrok (R)	X				100.00	66	31	75	74	75	79	77	71	81	76	77	66	72	63	57	38	69	72	0	25	1	995,000$
2	Michael Bournival (R)		X			100.00	77	39	78	77	78	73	74	74	68	70	78	71	77	65	53	41	46	72	0	24	1	950,000$
3	Travis Konecny (R)			X		100.00	62	31	74	83	63	76	67	86	68	69	71	62	81	45	44	69	69	70	0	19	1	500,000$
4	Sven Andrighetto (R)			X		100.00	77	34	79	65	78	74	70	68	71	64	78	57	71	48	48	48	69	68	0	23	3	700,000$
5	Alex DeBrincat (R)		X			100.00	74	54	84	75	74	66	74	65	71	72	71	57	75	43	41	79	70	68	0	19	2	500,000$
6	Nick Shore (R)	X				100.00	54	26	74	69	69	72	67	73	82	75	73	53	58	52	55	39	60	67	0	24	2	800,000$
7	Cristoval Nieves (R)	X				100.00	66	26	75	74	64	67	72	70	74	76	68	52	67	45	46	46	59	66	0	22	2	600,000$
8	Morgan Klimchuk (R)		X			100.00	64	32	72	72	68	73	73	67	66	69	66	68	73	45	43	49	38	66	0	21	3	650,000$
9	Erik Nystrom (R)		X			100.00	68	23	74	70	74	68	67	69	67	61	70	64	73	48	47	38	58	65	0	23	2	600,000$
10	Lucas Wallmarkk (R)	X				100.00	70	38	71	64	62	71	61	72	71	73	64	63	62	43	43	58	59	65	0	20	4	600,000$
11	David Kampf (R)	X				100.00	57	42	81	62	68	68	66	69	65	65	71	54	65	43	46	58	69	64	0	21	1	500,000$
12	Brendan Leipsic (R)		X			100.00	52	33	68	63	64	63	60	64	75	71	70	52	61	45	46	44	57	62	0	22	2	500,000$
13	Laurent Dauphin (R)	X				100.00	70	37	77	59	67	61	67	68	57	68	61	48	65	43	43	50	57	61	0	21	3	500,000$
14	Nick Sorensen (R)			X		100.00	56	33	75	71	66	65	66	62	59	52	72	52	71	46	46	49	69	61	0	22	3	525,000$
15	JC Lipon (R)			X		100.00	72	56	66	65	69	49	67	62	64	54	60	49	54	48	47	42	52	59	0	23	2	450,000$
16	Anthony Angello (R)	X				100.00	48	36	78	60	62	73	64	53	64	62	59	56	50	42	42	51	54	58	0	20	3	450,000$
17	A.J. Greer (R)		X			100.00	59	42	59	65	66	59	70	56	57	55	59	49	49	44	43	50	28	57	0	20	1	500,000$
18	Jake Dotchin (R)				X	100.00	79	40	78	74	75	73	61	67	53	74	53	75	58	59	46	46	41	71	0	22	3	800,000$
19	Reid McNeill (R)				X	100.00	75	47	78	74	80	67	81	73	59	67	58	70	66	62	48	39	28	71	0	24	1	650,000$
20	Ivan Provorov (R)				X	100.00	71	47	79	73	73	72	65	67	47	71	65	71	55	49	42	76	59	69	0	19	1	500,000$
21	Blake Heinrich (R)				X	100.00	67	34	68	68	70	71	59	55	45	70	66	75	51	46	44	48	69	66	0	21	3	500,000$
22	Brenden Kichton (R)				X	100.00	65	30	76	68	66	68	66	66	53	60	60	71	61	54	55	35	57	65	0	24	1	400,000$
23	Devon Teows (R)				X	100.00	72	48	72	67	64	64	60	68	49	62	52	69	51	47	48	51	53	65	0	22	4	600,000$
24	Rinat Valiev (R)				X	100.00	71	34	78	68	65	66	64	71	50	62	57	65	59	45	44	56	56	65	0	21	3	500,000$
25	Mikko Lehtonen (R)				X	100.00	70	41	74	57	50	65	71	75	46	69	75	54	61	48	48	49	69	64	0	22	2	500,000$
26	Brett Murray (R)		X			100.00	74	36	61	64	74	53	62	54	43	53	60	52	40	40	40	73	23	56	0	18	2	500,000$
27	Cooper Marody (R)	X				100.00	42	34	68	59	50	58	58	58	70	71	54	36	46	44	42	55	20	55	0	20	1	500,000$
28	Mark Alt (R)				X	63.70	70	32	73	68	68	67	68	55	51	67	58	80	53	54	54	31	39	67	0	25	1	400,000$
29	Matt Kiersted (R)				X	100.00	63	45	61	57	62	53	51	51	39	53	40	55	46	40	40	67	20	55	0	18	2	500,000$
30	Riley Stillman (R)				X	100.00	65	39	61	56	60	54	59	50	32	55	50	53	44	40	40	70	20	55	0	18	2	500,000$

	MOYENNE D’ÉQUIPE					99.18	71	39	76	71	72	71	71	71	64	71	68	65	65	58	54	43	54	69

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Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Steve Mason	100.00	86	81	76	85	85	82	77	81	83	73	83	71	62	29	63	80	1	28	2	4,000,000$
2	Ilya Sorokin	100.00	61	89	70	74	77	74	74	81	87	69	59	47	45	63	60	74	0	20	3	1,500,000$
Rayé
Équipe Mineure
1	Anton Forsberg	100.00	73	72	71	78	73	78	74	70	72	74	72	61	55	40	67	72	0	24	1	500,000$
2	Zachary Fucale	100.00	65	75	55	63	67	71	70	72	76	71	56	44	44	50	46	68	0	21	3	500,000$
3	Jason Kasdorf	100.00	66	65	78	63	63	70	68	68	64	69	66	52	52	41	19	66	0	24	1	500,000$

	MOYENNE D’ÉQUIPE	100.00	70	76	70	73	73	75	73	74	76	71	67	55	52	45	51	72

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Pat Quinn	82	83	87	73	99	88	37	CAN	69	1	2,500,000$

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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	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Jakub Voracek	Flyers	RW	80	35	56	91	16	44	0	115	96	293	86	188	11.95%	27	1639	20.49	11	19	30	43	261	0	0	0	6	131	5	2	54.01%	137	59	35	0	1	1.11	0	2	0	0	0	6	7	6
2	J.T. Miller	Flyers	LW	80	38	52	90	9	37	5	116	145	291	79	184	13.06%	46	1872	23.41	9	16	25	44	264	0	3	3	6	311	5	1	53.09%	695	61	45	2	1	0.96	1	8	0	0	1	7	6	5
3	Jordan Nolan	Flyers	C	80	28	57	85	1	128	10	132	138	249	67	130	11.24%	50	1768	22.11	9	21	30	36	260	1	0	1	11	269	4	4	51.91%	2194	30	26	0	0	0.96	2	6	1	0	1	5	2	6
4	Jeff Carter	Flyers	C	80	28	32	60	-1	61	5	146	119	178	60	103	15.73%	26	1450	18.13	8	12	20	25	216	1	0	1	8	168	2	3	51.99%	1056	29	12	0	0	0.83	3	6	0	0	1	3	4	4
5	Drew Miller	Flyers	LW	80	21	31	52	-4	38	0	90	72	215	61	115	9.77%	25	1258	15.73	7	12	19	35	200	0	0	0	1	27	2	1	45.45%	44	28	24	0	0	0.83	0	1	0	0	0	1	4	1
6	Niclas Bergfors	Flyers	RW	80	22	24	46	-4	12	0	97	90	220	44	120	10.00%	26	1218	15.24	7	11	18	30	202	0	0	0	0	0	1	1	53.45%	58	47	23	0	0	0.75	0	3	0	0	0	2	3	5
7	Jeff Woywitka	Flyers	D	80	8	37	45	-9	50	0	116	128	124	47	43	6.45%	124	2206	27.58	3	9	12	21	283	0	1	1	3	321	1	1	0.00%	0	27	69	1	0	0.41	0	0	0	0	0	3	2	2
8	Jacob Trouba	Flyers	D	74	13	25	38	-8	120	10	111	151	115	48	53	11.30%	100	2039	27.57	9	8	17	29	262	1	0	1	7	273	4	0	0.00%	0	40	60	0	1	0.37	0	0	1	1	0	1	0	2
9	Marcus Kruger	Flyers	RW	80	15	22	37	8	12	0	58	48	149	54	85	10.07%	10	895	11.20	2	3	5	4	26	0	0	0	0	0	1	1	45.16%	31	28	16	0	0	0.83	0	0	0	0	0	1	0	3
10	Travis Zajac	Flyers	C	80	14	20	34	12	15	5	99	77	170	46	101	8.24%	22	929	11.61	0	1	1	0	13	0	0	0	0	13	3	1	49.04%	522	29	17	0	0	0.73	0	0	0	0	1	1	2	4
11	Nathan Beaulieu	Flyers	D	80	5	23	28	7	30	0	66	114	74	33	26	6.76%	99	1614	20.18	1	1	2	8	191	0	1	1	1	212	2	0	0.00%	0	25	45	1	0	0.35	0	0	0	0	0	1	3	0
12	Chris Mcallister	Flyers	LW	72	13	12	25	11	48	0	81	71	112	28	64	11.61%	23	886	12.32	0	0	0	0	0	0	0	0	3	133	4	0	34.72%	72	9	18	0	0	0.56	0	0	0	0	0	1	0	1
13	Brock Nelson	Flyers	LW	80	10	14	24	-6	10	0	62	53	124	43	92	8.06%	15	773	9.66	1	1	2	2	18	0	0	0	0	107	3	0	43.33%	30	37	8	0	0	0.62	0	0	0	0	0	2	0	1
14	Matt Smaby	Flyers	D	80	3	15	18	8	93	5	110	131	95	31	34	3.16%	69	1631	20.40	2	3	5	11	200	0	0	0	1	212	1	0	0.00%	0	18	37	0	0	0.22	0	1	0	0	1	0	2	1
15	Brian Lashoff	Flyers	D	80	0	12	12	9	20	0	51	82	43	17	14	0.00%	50	1063	13.29	0	1	1	2	7	0	0	0	0	133	0	0	0.00%	0	11	33	0	0	0.23	0	0	0	0	0	0	0	0
16	Matthew Lombardi	Flyers	C	80	5	3	8	-1	32	0	44	48	70	20	40	7.14%	10	581	7.27	0	0	0	0	2	0	0	0	3	28	0	0	48.28%	203	10	12	0	0	0.28	0	0	0	0	0	0	1	2
17	Jonathan Ericsson	Flyers	D	80	2	5	7	13	14	0	53	56	28	16	15	7.14%	54	1016	12.70	1	1	2	1	36	0	0	0	0	31	0	0	0.00%	0	6	29	0	0	0.14	0	0	0	0	0	0	0	0
18	Tyler Randell	Flyers	RW	72	5	1	6	-4	8	0	46	20	47	6	32	10.64%	3	499	6.94	0	0	0	0	4	0	0	0	0	0	0	0	45.45%	11	7	6	0	0	0.24	1	1	0	0	0	0	0	0
19	Dylan Olsen	Flyers	D	14	0	1	1	1	6	0	5	8	3	0	0	0.00%	5	132	9.45	0	0	0	0	0	0	0	0	0	12	0	0	0.00%	0	0	6	0	0	0.15	0	0	0	0	0	0	0	0
20	Tomas Kubalik	Flyers	RW	8	0	1	1	4	0	0	4	0	7	1	3	0.00%	1	54	6.83	0	0	0	0	2	0	0	0	0	0	0	0	25.00%	4	1	0	0	0	0.37	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1440	265	443	708	62	778	40	1602	1647	2607	787	1442	10.16%	785	23533	16.34	70	119	189	291	2458	3	5	8	50	2388	38	15	51.30%	5057	502	521	4	3	0.60	7	28	2	1	5	34	36	43

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	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Steve Mason	Flyers	54	31	17	3	0.897	3.15	2893	4	1	152	1477	666	6	3	0.917	12	50	30	3	3	2
2	Ilya Sorokin	Flyers	37	11	12	6	0.900	3.03	1941	17	1	98	982	466	3	0	0.667	12	30	50	1	0	2
Statistiques d’équipe totales ou en moyenne			91	42	29	9	0.898	3.10	4835	21	2	250	2459	1132	9	3	0.792	24	80	80	4	3	4

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Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4
Brian Lashoff	Flyers	D	26	1990-01-01	No	212 Lbs	6 ft3	No	No	No	1	Pro Only	1,900,000$	1,900,000$	0$	No
Brock Nelson	Flyers	LW	25	1991-01-01	No	206 Lbs	6 ft3	No	No	No	2	Pro Only	1,500,000$	1,500,000$	0$	No	1,500,000$
Chris Mcallister	Flyers	LW	31	1985-01-01	No	250 Lbs	6 ft7	No	No	No	3	Pro Only	2,000,000$	2,000,000$	0$	No	2,000,000$	2,000,000$
Drew Miller	Flyers	LW	32	1984-01-01	No	178 Lbs	6 ft2	No	No	No	2	Pro Only	3,250,000$	3,250,000$	0$	No	2,750,000$
Dylan Olsen	Flyers	D	25	1991-01-01	Yes	223 Lbs	6 ft2	No	No	No	1	Pro & Farm	600,000$	600,000$	0$	No
Ilya Sorokin	Flyers	G	20	1996-01-01	No	180 Lbs	6 ft2	No	No	No	3	Pro Only	1,500,000$	1,500,000$	0$	No	1,750,000$	2,250,000$
J.T. Miller	Flyers	LW	23	1993-01-01	No	205 Lbs	6 ft1	No	No	No	1	Pro Only	3,200,000$	3,200,000$	0$	No
Jacob Trouba	Flyers	D	22	1994-01-01	No	187 Lbs	6 ft2	No	No	No	2	Pro Only	2,750,000$	2,750,000$	0$	No	3,000,000$
Jakub Voracek	Flyers	RW	27	1989-01-01	No	205 Lbs	6 ft1	No	No	No	2	Pro Only	5,500,000$	5,500,000$	0$	No	6,000,000$
Jeff Carter	Flyers	C	31	1985-01-01	No	200 Lbs	6 ft3	No	No	No	3	Pro Only	5,000,000$	5,000,000$	0$	No	5,000,000$	5,000,000$
Jeff Woywitka	Flyers	D	33	1983-01-01	No	224 Lbs	6 ft3	No	No	No	1	Pro Only	2,500,000$	2,500,000$	0$	No
Jonathan Ericsson	Flyers	D	32	1984-01-01	No	220 Lbs	6 ft4	No	No	No	2	Pro Only	3,000,000$	3,000,000$	0$	No	3,000,000$
Jordan Nolan	Flyers	C	27	1989-01-01	No	221 Lbs	6 ft3	No	No	No	3	Pro Only	4,000,000$	4,000,000$	0$	No	4,000,000$	4,000,000$
Marcus Kruger	Flyers	RW	26	1990-01-01	No	181 Lbs	6 ft0	No	No	No	3	Pro Only	3,500,000$	3,500,000$	0$	No	3,500,000$	3,500,000$
Matt Smaby	Flyers	D	32	1984-01-01	No	240 Lbs	6 ft4	No	No	No	2	Pro Only	3,000,000$	3,000,000$	0$	No	3,000,000$
Matthew Lombardi	Flyers	C	34	1982-01-01	No	195 Lbs	5 ft11	No	No	No	1	Pro Only	1,000,000$	1,000,000$	0$	No
Nathan Beaulieu	Flyers	D	24	1992-01-01	No	205 Lbs	6 ft2	No	No	No	1	Pro Only	1,750,000$	1,750,000$	0$	No
Niclas Bergfors	Flyers	RW	29	1987-01-01	No	195 Lbs	5 ft11	No	No	No	1	Pro Only	4,000,000$	4,000,000$	0$	No
Steve Mason	Flyers	G	28	1988-01-01	No	211 Lbs	6 ft4	No	No	No	2	Pro Only	4,000,000$	4,000,000$	0$	No	4,000,000$
Tomas Kubalik	Flyers	RW	26	1990-01-01	No	212 Lbs	6 ft2	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	No	1,000,000$
Travis Zajac	Flyers	C	31	1985-01-01	No	200 Lbs	6 ft3	No	No	No	4	Pro Only	4,000,000$	4,000,000$	0$	No	4,000,000$	4,000,000$	4,000,000$
Tyler Randell	Flyers	RW	25	1991-01-01	Yes	198 Lbs	6 ft1	No	No	No	1	Pro Only	1,000,000$	1,000,000$	0$	No

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	27.68	207 Lbs	6 ft2	1.95	2,722,727$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
59,900,000$	44,500,000$	20,750,000$	4,000,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	J.T. Miller	Jordan Nolan	Jakub Voracek	40	1	2	2
2	Drew Miller	Jeff Carter	Niclas Bergfors	30	1	2	2
3	Brock Nelson	Travis Zajac	Marcus Kruger	20	1	2	2
4	J.T. Miller	Matthew Lombardi	Tyler Randell	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jacob Trouba	Jeff Woywitka	40	1	2	2
2	Matt Smaby	Nathan Beaulieu	30	1	2	2
3	Jonathan Ericsson	Brian Lashoff	20	1	2	2
4	Dylan Olsen	Jacob Trouba	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	J.T. Miller	Jordan Nolan	Jakub Voracek	60	1	2	2
2	Drew Miller	Jeff Carter	Niclas Bergfors	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jacob Trouba	Jeff Woywitka	60	1	2	2
2	Matt Smaby	Nathan Beaulieu	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	J.T. Miller	Jordan Nolan	60	1	2	2
2	Jeff Carter	Jakub Voracek	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jacob Trouba	Jeff Woywitka	60	1	2	2
2	Matt Smaby	Nathan Beaulieu	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	J.T. Miller	60	1	2	2	Jacob Trouba	Jeff Woywitka	60	1	2	2
2	Jordan Nolan	40	1	2	2	Matt Smaby	Nathan Beaulieu	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	J.T. Miller	Jordan Nolan	60	1	2	2
2	Jeff Carter	Jakub Voracek	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jacob Trouba	Jeff Woywitka	60	1	2	2
2	Matt Smaby	Nathan Beaulieu	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
J.T. Miller	Jordan Nolan	Jakub Voracek	Jacob Trouba	Jeff Woywitka

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
J.T. Miller	Jordan Nolan	Jakub Voracek	Jacob Trouba	Jeff Woywitka

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Travis Zajac, Marcus Kruger, Brock Nelson	Travis Zajac, Marcus Kruger	Brock Nelson

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jonathan Ericsson, Brian Lashoff, Dylan Olsen	Jonathan Ericsson	Brian Lashoff, Dylan Olsen

Tirs de pénalité
J.T. Miller, Jordan Nolan, Jeff Carter, Jakub Voracek, Drew Miller

Gardien
#1 : Ilya Sorokin, #2 : Steve Mason

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

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	2	2	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	2	1	1	4	1.000	5	9	14	0	0	2	2	1	0	62	21	21	20	0	56	28	16	46	8	2	25.00%	8	0	100.00%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	44	25	43	18	32	16
2	Blackhawks	3	0	2	0	0	1	0	0	9	13	-4	1	0	1	0	0	0	0	0	3	4	-1	2	0	1	0	0	1	0	0	6	9	-3	1	0.167	9	16	25	0	0	1	4	4	0	109	34	38	37	0	95	27	30	60	20	4	20.00%	15	3	80.00%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	64	36	63	27	51	26
3	Blue Jackets	3	2	0	0	0	1	0	0	8	6	2	1	1	0	0	0	0	0	0	1	0	1	2	1	0	0	0	1	0	0	7	6	1	5	0.833	8	13	21	0	1	2	2	4	0	105	37	38	30	0	90	25	24	52	13	2	15.38%	12	0	100.00%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	66	39	62	28	51	24
4	Blues	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	4	7	11	0	0	1	1	2	0	68	27	14	27	0	65	30	20	47	7	1	14.29%	9	3	66.67%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	43	25	41	18	34	16
5	Bruins	2	1	1	0	0	0	0	0	9	9	0	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	9	15	24	0	0	2	2	5	0	71	18	25	28	0	69	26	18	38	12	4	33.33%	10	3	70.00%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	43	25	42	18	34	17
6	Canadiens	5	3	1	0	0	0	1	0	19	17	2	3	2	1	0	0	0	0	0	9	9	0	2	1	0	0	0	0	1	0	10	8	2	8	0.800	19	32	51	0	0	5	8	5	2	147	56	50	41	3	157	54	28	114	24	5	20.83%	14	3	78.57%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	109	62	106	45	88	45
7	Canucks	2	0	1	0	0	1	0	0	4	6	-2	1	0	0	0	0	1	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	2	-1	1	0.250	4	6	10	0	0	1	3	0	0	64	32	22	9	1	56	15	18	42	5	1	20.00%	9	0	100.00%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	41	23	45	19	37	17
8	Capitals	2	0	1	0	0	1	0	0	5	8	-3	1	0	0	0	0	1	0	0	2	3	-1	1	0	1	0	0	0	0	0	3	5	-2	1	0.250	5	8	13	0	0	0	3	2	0	65	18	22	25	0	58	25	28	32	3	0	0.00%	9	1	88.89%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	40	23	46	17	33	14
9	Devils	2	1	1	0	0	0	0	0	5	8	-3	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	2	7	-5	2	0.500	5	9	14	0	0	1	3	1	0	63	28	21	14	0	63	27	26	38	6	0	0.00%	8	2	75.00%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	45	27	41	16	33	16
10	Flames	6	3	2	0	1	0	0	0	26	20	6	3	2	1	0	0	0	0	0	13	11	2	3	1	1	0	1	0	0	0	13	9	4	8	0.667	26	42	68	0	0	6	13	6	1	211	72	68	69	2	181	50	83	100	32	9	28.13%	35	6	82.86%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	132	74	122	54	106	54
11	Golden Knights	3	2	1	0	0	0	0	0	11	8	3	1	1	0	0	0	0	0	0	5	2	3	2	1	1	0	0	0	0	0	6	6	0	4	0.667	11	19	30	0	0	2	6	3	0	101	31	27	43	0	81	18	22	69	13	3	23.08%	11	1	90.91%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	68	39	58	26	53	27
12	Islanders	2	0	1	0	0	0	1	0	5	5	0	1	0	0	0	0	0	1	0	3	2	1	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	5	6	11	0	0	0	3	1	1	71	23	30	17	4	59	20	24	40	3	1	33.33%	12	1	91.67%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	45	26	40	19	38	17
13	Jets	3	1	2	0	0	0	0	0	11	11	0	2	0	2	0	0	0	0	0	5	11	-6	1	1	0	0	0	0	0	0	6	0	6	2	0.333	11	20	31	0	1	6	1	4	0	101	46	22	33	0	99	32	22	54	8	3	37.50%	11	3	72.73%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	63	38	67	27	49	24
14	Kings	6	3	0	0	1	0	1	1	23	11	12	3	1	0	0	1	0	0	1	8	6	2	3	2	0	0	0	0	1	0	15	5	10	11	0.917	23	40	63	0	0	4	9	8	3	192	49	63	76	16	160	64	57	139	29	7	24.14%	26	3	88.46%	1	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	127	69	132	58	110	55
15	Lightning	3	1	2	0	0	0	0	0	11	11	0	1	0	1	0	0	0	0	0	1	2	-1	2	1	1	0	0	0	0	0	10	9	1	2	0.333	11	17	28	0	0	3	2	6	0	95	30	35	30	0	97	28	41	51	11	2	18.18%	14	5	64.29%	1	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	60	33	65	29	53	25
16	Maple Leafs	6	3	3	0	0	0	0	0	20	19	1	3	0	3	0	0	0	0	0	7	13	-6	3	3	0	0	0	0	0	0	13	6	7	6	0.500	20	33	53	1	0	7	5	8	0	185	62	59	64	0	175	53	70	116	26	6	23.08%	35	5	85.71%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	123	70	132	57	103	51
17	Oilers	3	1	2	0	0	0	0	0	10	14	-4	1	0	1	0	0	0	0	0	1	6	-5	2	1	1	0	0	0	0	0	9	8	1	2	0.333	10	16	26	0	0	3	2	5	0	85	28	25	32	0	86	26	36	50	6	1	16.67%	18	5	72.22%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	61	34	63	28	54	25
18	Panthers	2	1	0	0	0	1	0	0	4	4	0	1	0	0	0	0	1	0	0	1	2	-1	1	1	0	0	0	0	0	0	3	2	1	3	0.750	4	7	11	0	0	2	1	1	0	59	18	17	23	1	68	17	22	41	9	2	22.22%	11	2	81.82%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	42	24	44	17	34	16
19	Penguins	3	1	1	0	0	0	0	1	7	9	-2	1	0	1	0	0	0	0	0	1	3	-2	2	1	0	0	0	0	0	1	6	6	0	3	0.500	7	12	19	0	0	2	1	4	0	98	32	35	26	8	80	33	34	60	6	1	16.67%	17	4	76.47%	1	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	67	39	64	28	52	24
20	Predators	4	1	2	0	0	0	0	1	9	14	-5	3	1	1	0	0	0	0	1	8	11	-3	1	0	1	0	0	0	0	0	1	3	-2	3	0.375	9	13	22	1	0	3	5	1	0	148	50	48	50	2	113	31	38	85	14	2	14.29%	19	6	68.42%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	93	55	80	35	70	35
21	Rangers	2	1	0	0	0	0	1	0	13	11	2	1	1	0	0	0	0	0	0	6	5	1	1	0	0	0	0	0	1	0	7	6	1	4	1.000	13	20	33	0	0	3	4	5	2	77	22	24	23	11	77	24	16	38	9	4	44.44%	8	2	75.00%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	48	29	42	17	33	17
22	Red Wings	3	2	0	0	0	1	0	0	14	9	5	2	1	0	0	0	1	0	0	9	7	2	1	1	0	0	0	0	0	0	5	2	3	5	0.833	14	24	38	0	0	3	5	6	0	92	27	32	33	0	99	33	26	54	15	4	26.67%	13	4	69.23%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	61	35	65	27	53	26
23	Senateurs	6	3	3	0	0	0	0	0	19	22	-3	4	1	3	0	0	0	0	0	9	14	-5	2	2	0	0	0	0	0	0	10	8	2	6	0.500	19	31	50	1	0	3	8	8	0	180	63	69	48	0	204	60	44	126	18	3	16.67%	22	3	86.36%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	127	73	127	53	105	50
24	Sharks	3	3	0	0	0	0	0	0	13	7	6	1	1	0	0	0	0	0	0	4	3	1	2	2	0	0	0	0	0	0	9	4	5	6	1.000	13	22	35	0	0	5	5	3	0	100	38	31	31	0	107	24	36	67	11	3	27.27%	18	3	83.33%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	64	36	62	27	53	24
25	Stars	2	1	1	0	0	0	0	0	5	5	0	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	5	6	11	0	0	3	1	1	0	58	17	26	15	0	67	15	20	43	6	0	0.00%	10	2	80.00%	0	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	42	23	41	17	36	18
	Total	80	36	29	0	2	6	4	3	269	256	13	40	16	16	0	1	4	1	2	113	127	-14	40	20	13	0	1	2	3	1	156	129	27	93	0.581	269	443	712	3	2	70	99	94	9	2607	879	862	844	48	2462	785	799	1602	314	70	22.29%	374	70	81.28%	3	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	1731	996	1703	740	1408	689
	_Since Last GM Reset	80	36	29	0	2	6	4	3	269	256	13	40	16	16	0	1	4	1	2	113	127	-14	40	20	13	0	1	2	3	1	156	129	27	93	0.581	269	443	712	3	2	70	99	94	9	2607	879	862	844	48	2462	785	799	1602	314	70	22.29%	374	70	81.28%	3	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	1731	996	1703	740	1408	689
	_Vs Conference	51	25	17	0	2	3	2	2	181	163	18	27	10	13	0	1	1	0	2	77	95	-18	24	15	4	0	1	2	2	0	104	68	36	63	0.618	181	302	483	3	2	48	67	62	6	1655	562	543	544	23	1566	479	494	1017	216	49	22.69%	238	44	81.51%	1	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	1096	627	1086	473	900	443
	_Vs Division	18	9	5	0	2	0	1	1	69	50	19	9	3	4	0	1	0	0	1	28	30	-2	9	6	1	0	1	0	1	0	41	20	21	25	0.694	69	115	184	1	0	17	27	22	4	588	183	190	209	18	516	167	210	355	87	22	25.29%	96	14	85.42%	1	1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%	383	214	387	170	321	160

			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
80	93	L1	269	443	712	2607	2462	785	799	1602	3	2

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
80	36	29	2	6	4	3	269	256

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	16	16	1	4	1	2	113	127

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	20	13	1	2	3	1	156	129

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
6	3	0	1	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
314	70	22.29%	374	70	81.28%	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
879	862	844	48	70	99	94	9

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
1003	1914	52.40%	974	1928	50.52%	617	1215	50.78%

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
1731	996	1703	740	1408	689

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	RI	Lien
1 - 2021-11-30	4	Senateurs	5	Flyers	3	BL				Sommaire du match
7 - 2021-12-06	28	Maple Leafs	5	Flyers	3	BL				Sommaire du match
11 - 2021-12-10	53	Flames	3	Flyers	4	BW				Sommaire du match
13 - 2021-12-12	62	Flyers	4	Maple Leafs	2	AW				Sommaire du match
16 - 2021-12-15	79	Predators	3	Flyers	4	BW				Sommaire du match
19 - 2021-12-18	95	Flyers	7	Kings	2	AW			R1	Sommaire du match
21 - 2021-12-20	106	Canadiens	2	Flyers	5	BW				Sommaire du match
23 - 2021-12-22	113	Flyers	4	Flames	3	AW	X			Sommaire du match
26 - 2021-12-25	131	Kings	3	Flyers	2	BL	X	X	R1	Sommaire du match
29 - 2021-12-28	147	Flyers	4	Canadiens	3	AW	X	X		Sommaire du match
30 - 2021-12-29	156	Senateurs	3	Flyers	1	BL				Sommaire du match
35 - 2022-01-03	182	Predators	5	Flyers	2	BL				Sommaire du match
39 - 2022-01-07	201	Flyers	3	Kings	2	AW	X	X	R1	Sommaire du match
41 - 2022-01-09	207	Flyers	5	Sharks	2	AW				Sommaire du match
42 - 2022-01-10	210	Maple Leafs	4	Flyers	1	BL				Sommaire du match
46 - 2022-01-14	229	Flyers	6	Jets	0	AW				Sommaire du match
47 - 2022-01-15	237	Rangers	5	Flyers	6	BW				Sommaire du match
50 - 2022-01-18	257	Flyers	3	Penguins	2	AW				Sommaire du match
51 - 2022-01-19	262	Golden Knights	2	Flyers	5	BW				Sommaire du match
54 - 2022-01-22	279	Flyers	7	Rangers	6	AW	X	X		Sommaire du match
56 - 2022-01-24	286	Flyers	2	Devils	7	AL				Sommaire du match
57 - 2022-01-25	294	Sharks	3	Flyers	4	BW				Sommaire du match
60 - 2022-01-28	310	Flyers	4	Senateurs	3	AW				Sommaire du match
62 - 2022-01-30	317	Stars	1	Flyers	2	BW				Sommaire du match
64 - 2022-02-01	330	Flyers	6	Senateurs	5	AW				Sommaire du match
66 - 2022-02-03	342	Flyers	1	Blackhawks	3	AL				Sommaire du match
67 - 2022-02-04	350	Oilers	6	Flyers	1	BL				Sommaire du match
71 - 2022-02-08	372	Devils	1	Flyers	3	BW				Sommaire du match
74 - 2022-02-11	388	Flyers	4	Sharks	2	AW				Sommaire du match
75 - 2022-02-12	397	Canucks	4	Flyers	3	BL	X			Sommaire du match
79 - 2022-02-16	417	Flyers	5	Blue Jackets	3	AW				Sommaire du match
81 - 2022-02-18	425	Lightning	2	Flyers	1	BL				Sommaire du match
85 - 2022-02-22	446	Maple Leafs	4	Flyers	3	BL				Sommaire du match
87 - 2022-02-24	458	Flyers	3	Penguins	4	AL	X	X		Sommaire du match
89 - 2022-02-26	471	Flyers	4	Bruins	6	AL				Sommaire du match
91 - 2022-02-28	478	Blues	3	Flyers	1	BL				Sommaire du match
95 - 2022-03-04	496	Flyers	2	Blue Jackets	3	AL	X			Sommaire du match
96 - 2022-03-05	502	Predators	3	Flyers	2	BL	X	X		Sommaire du match
99 - 2022-03-08	519	Flyers	1	Canucks	2	AL				Sommaire du match
101 - 2022-03-10	530	Kings	1	Flyers	3	BW			R1	Sommaire du match
104 - 2022-03-13	544	Flyers	3	Panthers	2	AW				Sommaire du match
106 - 2022-03-15	554	Blackhawks	4	Flyers	3	BL				Sommaire du match
108 - 2022-03-17	568	Flyers	3	Stars	4	AL				Sommaire du match
109 - 2022-03-18	579	Panthers	2	Flyers	1	BL	X			Sommaire du match
112 - 2022-03-21	599	Islanders	2	Flyers	3	BW	X	X		Sommaire du match
114 - 2022-03-23	606	Flyers	6	Canadiens	5	AW				Sommaire du match
117 - 2022-03-26	627	Avalanche	1	Flyers	3	BW				Sommaire du match
118 - 2022-03-27	637	Flyers	1	Predators	3	AL				Sommaire du match
123 - 2022-04-01	656	Kings	2	Flyers	3	BW	X		R1	Sommaire du match
126 - 2022-04-04	678	Senateurs	2	Flyers	4	BW				Sommaire du match
128 - 2022-04-06	690	Flyers	3	Blues	4	AL				Sommaire du match
131 - 2022-04-09	705	Capitals	3	Flyers	2	BL	X			Sommaire du match
133 - 2022-04-11	715	Flyers	2	Islanders	3	AL				Sommaire du match
136 - 2022-04-14	731	Flames	7	Flyers	2	BL				Sommaire du match
138 - 2022-04-16	739	Flyers	3	Golden Knights	4	AL				Sommaire du match
140 - 2022-04-18	750	Flyers	6	Lightning	2	AW				Sommaire du match
142 - 2022-04-20	759	Red Wings	4	Flyers	3	BL	X			Sommaire du match
144 - 2022-04-22	770	Flyers	4	Lightning	7	AL				Sommaire du match
147 - 2022-04-25	783	Penguins	3	Flyers	1	BL				Sommaire du match
149 - 2022-04-27	793	Flyers	5	Kings	1	AW			R1	Sommaire du match
153 - 2022-05-01	811	Flyers	5	Red Wings	2	AW				Sommaire du match
154 - 2022-05-02	815	Bruins	3	Flyers	5	BW				Sommaire du match
157 - 2022-05-05	837	Flames	1	Flyers	7	BW				Sommaire du match
159 - 2022-05-07	846	Flyers	3	Capitals	5	AL				Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
162 - 2022-05-10	860	Flyers	3	Flames	4	AL				Sommaire du match
163 - 2022-05-11	865	Senateurs	4	Flyers	1	BL				Sommaire du match
168 - 2022-05-16	888	Canadiens	1	Flyers	2	BW				Sommaire du match
169 - 2022-05-17	896	Flyers	3	Golden Knights	2	AW				Sommaire du match
172 - 2022-05-20	912	Flyers	6	Flames	2	AW				Sommaire du match
173 - 2022-05-21	919	Jets	7	Flyers	3	BL				Sommaire du match
177 - 2022-05-25	941	Canadiens	6	Flyers	2	BL				Sommaire du match
180 - 2022-05-28	957	Flyers	6	Oilers	4	AW				Sommaire du match
182 - 2022-05-30	966	Flyers	2	Avalanche	1	AW				Sommaire du match
183 - 2022-05-31	968	Flyers	5	Maple Leafs	3	AW				Sommaire du match
184 - 2022-06-01	975	Red Wings	3	Flyers	6	BW				Sommaire du match
189 - 2022-06-06	993	Flyers	5	Blackhawks	6	AL	X			Sommaire du match
190 - 2022-06-07	1001	Blue Jackets	0	Flyers	1	BW				Sommaire du match
195 - 2022-06-12	1018	Jets	4	Flyers	2	BL				Sommaire du match
197 - 2022-06-14	1023	Flyers	4	Maple Leafs	1	AW				Sommaire du match
198 - 2022-06-15	1028	Flyers	3	Oilers	4	AL				Sommaire du match

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	125	75	50	40	250
Assistance	170,651	143,870	51,995	94,608	28,465
Attendance PCT	71.10%	71.94%	64.99%	59.13%	71.16%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
0	12240 - 68.00%	1,271,415$	50,856,613$	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
62,290,846$	59,900,000$	52,150,000$	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
298,010$	59,641,559$	28,732,027$	22	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	310,448$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	2,627,331$	2,627,331$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
59,641,559$	2,985,772$	62,627,331$	24,641,559$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

J.T. Miller	AGE:23	PO:54	OV:79
Drew Miller	AGE:32	PO:17	OV:77
Brock Nelson	AGE:25	PO:41	OV:74
Chris Mcallister	AGE:31	PO:17	OV:74
Michael Bournival (R)	AGE:24	PO:41	OV:72
Alex DeBrincat (R)	AGE:19	PO:79	OV:68
Morgan Klimchuk (R)	AGE:21	PO:49	OV:66
Erik Nystrom (R)	AGE:23	PO:38	OV:65
Brendan Leipsic (R)	AGE:22	PO:44	OV:62
A.J. Greer (R)	AGE:20	PO:50	OV:57
Brett Murray (R)	AGE:18	PO:73	OV:56

Jordan Nolan	AGE:27	PO:34	OV:78
Jeff Carter	AGE:31	PO:21	OV:78
Travis Zajac	AGE:31	PO:22	OV:77
Matthew Lombardi	AGE:34	PO:14	OV:73
Calle Jarnkrok (R)	AGE:25	PO:38	OV:72
Nick Shore (R)	AGE:24	PO:39	OV:67
Cristoval Nieves (R)	AGE:22	PO:46	OV:66
Lucas Wallmarkk (R)	AGE:20	PO:58	OV:65
David Kampf (R)	AGE:21	PO:58	OV:64
Laurent Dauphin (R)	AGE:21	PO:50	OV:61
Anthony Angello (R)	AGE:20	PO:51	OV:58
Cooper Marody (R)	AGE:20	PO:55	OV:55

Jakub Voracek	AGE:27	PO:32	OV:78
Niclas Bergfors	AGE:29	PO:25	OV:76
Marcus Kruger	AGE:26	PO:34	OV:75
Tyler Randell (R)	AGE:25	PO:36	OV:73
Tomas Kubalik	AGE:26	PO:36	OV:72
Travis Konecny (R)	AGE:19	PO:69	OV:70
Sven Andrighetto (R)	AGE:23	PO:48	OV:68
Nick Sorensen (R)	AGE:22	PO:49	OV:61
JC Lipon (R)	AGE:23	PO:42	OV:59

Défense #1

Défense #2

Gardien

Jacob Trouba	AGE:22	PO:56	OV:78
Matt Smaby	AGE:32	PO:18	OV:77
Jeff Woywitka	AGE:33	PO:14	OV:77
Nathan Beaulieu	AGE:24	PO:46	OV:76
Jonathan Ericsson	AGE:32	PO:17	OV:76
Brian Lashoff	AGE:26	PO:32	OV:75
Dylan Olsen (R)	AGE:25	PO:35	OV:73
Jake Dotchin (R)	AGE:22	PO:46	OV:71
Reid McNeill (R)	AGE:24	PO:39	OV:71

Ivan Provorov (R)	AGE:19	PO:76	OV:69
Mark Alt (R)	AGE:25	PO:31	OV:67
Blake Heinrich (R)	AGE:21	PO:48	OV:66
Rinat Valiev (R)	AGE:21	PO:56	OV:65
Devon Teows (R)	AGE:22	PO:51	OV:65
Brenden Kichton (R)	AGE:24	PO:35	OV:65
Mikko Lehtonen (R)	AGE:22	PO:49	OV:64
Riley Stillman (R)	AGE:18	PO:70	OV:55
Matt Kiersted (R)	AGE:18	PO:67	OV:55

Steve Mason	AGE:28	PO:29	OV:80
Ilya Sorokin	AGE:20	PO:63	OV:74
Anton Forsberg	AGE:24	PO:40	OV:72
Zachary Fucale	AGE:21	PO:50	OV:68
Jason Kasdorf	AGE:24	PO:41	OV:66

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.
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8	`?`	Wildcard for a single, non-space character.
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Espoir	Nom de l’équipe	Année de repêchage	Choix total	Information	Lien

Choix au repêchage

Année	R1	R2	R3	R4	R5
2
3
4
5
6

[2022-06-12 7:25:31 AM] - New Record for Team's Most Shots Blocked (19) in 1 Game for Flyers!
[2022-05-28 9:09:28 PM] - New Record for Team's Most Hits (30) in 1 Game for Flyers!
[2022-04-24 11:06:24 PM] - New Record for Team's Most Penalties Minutes (29) in 1 Game for Flyers!
[2022-03-18 8:13:45 PM] - New Record for Team's Most Shots (46) in 1 Game for Flyers!
[2022-03-02 9:13:44 PM] - New Record for Team's Most Shots Blocked (17) in 1 Game for Flyers!
[2022-02-08 7:00:29 PM] - Jeff Carter has been selected as assistant for Flyers.
[2022-02-08 7:00:28 PM] - Lukas Vejdemo is no longer as assistant for Flyers.
[2022-02-08 7:00:25 PM] - Jakub Voracek has been selected as assistant for Flyers.
[2022-02-08 7:00:24 PM] - Jack Ramsey is no longer as assistant for Flyers.
[2022-02-08 7:00:21 PM] - J.T. Miller has been selected as the team Captain for the Flyers.
[2022-02-08 7:00:19 PM] - Unknown Player is no longer captain for Flyers.
[2022-01-29 11:59:12 PM] - New Record for Team's Most Shots (45) in 1 Game for Flyers!
[2022-01-21 7:56:30 PM] - New Record for Team's Most Shots (41) in 1 Game for Flyers!
[2022-01-16 7:07:52 PM] - New Record for Team's Most Penalties Minutes (18) in 1 Game for Flyers!

[2022-06-29 8:42:18 PM] Chris Mcallister from Flyers is back from Bruised Right Shoulder Injury.
[2022-06-23 6:54:54 PM] -$945,000 was added to Flyers bank account.
[2022-06-22 8:41:03 PM] $5,000,000 was added to Flyers bank account.
[2022-06-22 8:40:49 PM] Current fund for Flyers is under $0.
[2022-06-22 8:34:36 PM] Current fund for Flyers is under $0.
[2022-06-21 9:05:39 PM] Farm Game #1010 - Calle Jarnkrok from Phantoms has scored a Hat Trick!
[2022-06-18 11:19:05 PM] Current fund for Flyers is under $0.
[2022-06-18 11:17:29 PM] Last 7 Days Farm Star : 1 - Alexandre Grenier of Wolves (3-7-10) / 2 - Lawson Crouse of Wolves (6-2-8) / 3 - Travis Konecny of Phantoms (4-4-8)
[2022-06-18 11:17:29 PM] Last 7 Days Pro Star : 1 - Eric Staal of Flames (3-4-7) / 2 - David Backes of Flames (3-3-6) / 3 - Niclas Bergfors of Flyers (4-1-5)
[2022-06-18 11:17:07 PM] Auto Lines Function has been run for Flyers.
[2022-06-18 11:17:07 PM] Auto Roster Partial Function has been run for Flyers.
[2022-06-16 7:05:18 PM] Farm Game #983 - Travis Konecny from Phantoms has scored a Hat Trick!
[2022-06-15 9:20:53 PM] Steve Mason from Flyers is back from Exhaustion.
[2022-06-13 7:02:43 PM] Steve Mason from Flyers injured (Exhaustion)
[2022-06-12 7:25:32 AM] Morgan Klimchuk from Phantoms is back from Groin Injury.
[2022-06-12 7:25:31 AM] New Record for Team's Most Shots Blocked (19) in 1 Game for Flyers!
[2022-06-12 7:25:23 AM] Auto Lines Function has been run for Flyers.
[2022-06-12 7:25:22 AM] Auto Roster Partial Function has been run for Flyers.
[2022-06-09 7:01:06 PM] Game 957 - Chris Mcallister from Flyers is injured (Bruised Right Shoulder) and is out for 3 weeks.
[2022-06-06 7:01:34 PM] Auto Lines Function has been run for Phantoms.
[2022-06-01 9:08:33 PM] Game 907 - Morgan Klimchuk from Phantoms is injured (Groin) and is out for 2 weeks.
[2022-05-30 7:29:43 PM] Auto Lines Function has been run for Phantoms.
[2022-05-30 7:29:43 PM] Auto Roster Farm Only Function has been run for Flyers.
[2022-05-28 9:09:28 PM] New Record for Team's Most Hits (30) in 1 Game for Flyers!
[2022-05-26 7:34:31 PM] Zachary Fucale from Phantoms is back from Exhaustion.
[2022-05-25 7:17:51 PM] Zachary Fucale from Phantoms injured (Exhaustion)

Mark Alt est dehors pour 1 mois à cause de Sprained Right Knee Injury.

Flyers Leaders statistiques (saison régulière)

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

Flyers Leaders des statistiques des gardiens (saison régulière)

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

Flyers Statistiques de l'Équipe de Carrière

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	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Flyers Leaders statistiques (séries éliminatoires)

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

Flyers Leaders des statistiques des gardiens (séries éliminatoires)

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

	Flyers
	GP: 80 \| W: 42 \| L: 29 \| OTL: 9 \| P: 93 GF: 269 \| GA: 256 \| PP%: 22.29% \| PK%: 81.28% DG: Simon DeChamplain \| Morale : 44 \| Moyenne d’équipe : 76