Canadian Hockey League

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Centre de jeu
	Flyers 2-1-0, 4pts	3	FINAL	2	Blues 2-0-1, 5pts

Team Stats
W1	Streak	OTW1
0-1-0	Home Record	1-0-1
2-0-0	Away Record	1-0-0
2-1-0	Last 10 Games	2-0-1
4.00	Goals Per Game	3.00
2.33	Goals Against Per Game	2.67
26.32%	Power Play Percentage	11.11%
75.00%	Penalty Kill Percentage	100.00%

Flyers
2-1-0, 4pts

FINAL

Stars
2-1-0, 4pts

Team Stats
W1	Streak	L1
0-1-0	Home Record	1-1-0
2-0-0	Away Record	1-0-0
2-1-0	Last 10 Games	2-1-0
4.00	Goals Per Game	3.67
2.33	Goals Against Per Game	4.67
26.32%	Power Play Percentage	20.00%
75.00%	Penalty Kill Percentage	76.47%

Rangers
1-2-0, 2pts

Jour 7

Flyers
2-1-0, 4pts

Stats Équipe
L1	Séquence	W1
1-1-0	Fiche domicile	0-1-0
0-1-0	Fiche visiteur	2-0-0
1-2-0	10 derniers matchs	2-1-0
2.67	Buts par match	4.00
3.00	Buts contre par match	2.33
7.14%	Pourcentage en avantage numérique	26.32%
90.00%	Pourcentage en désavantage numérique	75.00%

Flyers
2-1-0, 4pts

Jour 8

Hurricanes
3-0-0, 6pts

Stats Équipe
W1	Séquence	W3
0-1-0	Fiche domicile	1-0-0
2-0-0	Fiche visiteur	2-0-0
2-1-0	10 derniers matchs	3-0-0
4.00	Buts par match	4.67
2.33	Buts contre par match	2.67
26.32%	Pourcentage en avantage numérique	26.09%
75.00%	Pourcentage en désavantage numérique	72.73%

MapleLeafs
1-1-1, 3pts

Jour 11

Flyers
2-1-0, 4pts

Stats Équipe
L1	Séquence	W1
1-1-0	Fiche domicile	0-1-0
0-0-1	Fiche visiteur	2-0-0
1-1-1	10 derniers matchs	2-1-0
4.00	Buts par match	4.00
3.67	Buts contre par match	2.33
15.38%	Pourcentage en avantage numérique	26.32%
85.71%	Pourcentage en désavantage numérique	75.00%

Meneurs d'équipe
	Buts Conor Garland 2	Passes Miro Heiskanen 4

	Points Auston Matthews 4	Plus/Moins Conor Garland 2

	Victoires Logan Thompson 2	Pourcentage d’arrêts Logan Thompson 0.917

Stats Équipe
Buts pour 12 4.00 GFG	Tirs pour 89 29.67 Avg	Pourcentage en avantage numérique 26.3% 5 GF	Début de zone offensive 42.2%
Buts contre 7 2.33 GAA	Tirs contre 84 28.00 Avg	Pourcentage en désavantage numérique 75.0% 4 GA	Début de la zone défensive 41.8%

Blessure/Suspension
Pas de blessure ou de suspension.

Information d’équipe
	Directeur général	Sebastien Lessard
	Entraîneur	Craig Berube
	Division	Metropolitan
	Conférence	Eastern
	Capitaine	Auston Matthews
	Assistant #1	Dylan Strome
	Assistant #2	Miro Heiskanen
Uniformes

Informations de l’aréna
	Nom	Philadelphia Coliseum
	Capacité	25,000
	Assistance	15,283
	Billets de saison	10,000
Information formation
	Équipe Pro	22
	Équipe Mineure	27
	Limite contact	49 / 50
	Espoirs	14
Plafond salarial
	Cap Salarial de la Saison estimé	83,040,026$
	Plafond salarial disponible	6,959,974$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	22
Finance
	Revenu annuel à ce jour	1,721,000$
	Dépenses annuelles à ce jour	2,473,035$
	Revenus de la saison estimés	68,840,000$
	Dépenses de la saison estimées	85,567,011$
	Compte bancaire actuel	263,869,490$
	Compte bancaire projeté	244,819,179$
Historique d'équipe
	Saison actuelle	2-1-0 (4PTS)
	Historique	835-679-111 (0.514%)
	Apparitions séries éliminatoires	11
	Historique séries éliminatoires (W-L)	44-54
	Stanley Cup	0

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	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	Auston Matthews (C)	X				97.00	56	56	84	94	76	89	89	93	92	95	90	94	75	78	84	55	24	83	0	28	7	1$
2	Aliaksei Protas		X			100.00	46	66	85	84	97	82	95	81	40	79	82	89	40	70	76	75	24	77	0	24	1	5,500,000$
3	Dylan Strome (A)	X				100.00	47	50	82	92	65	84	99	86	89	93	79	67	59	78	81	55	24	77	0	28	7	7,250,000$
4	Conor Garland			X		98.00	54	43	77	89	40	86	98	70	40	71	69	74	79	80	83	50	24	70	0	29	1	5,000,000$
5	J.T. Compher			X		100.00	49	46	84	82	56	82	95	62	80	63	62	73	40	82	82	45	24	67	0	30	3	6,100,000$
6	Max Domi		X			100.00	50	60	69	83	62	79	94	63	85	68	59	65	55	82	81	45	22	67	0	30	1	5,000,000$
7	Mike Amadio	X				100.00	75	49	85	80	63	78	92	60	86	58	63	75	40	80	79	50	24	67	0	29	2	2,100,000$
8	Eric Robinson			X		100.00	75	53	88	79	71	75	99	61	40	58	64	66	40	82	79	45	24	67	0	30	3	3,000,000$
9	Jonny Brodzinski	X				100.00	52	51	88	80	67	74	78	60	83	51	69	66	40	86	80	35	24	65	0	32	1	800,000$
10	Martin Pospisil			X		100.00	99	54	69	80	52	77	98	58	76	61	54	67	40	74	76	65	24	65	0	26	1	1,440,000$
11	Matias Maccelli		X			100.00	43	44	87	81	52	77	81	58	40	55	62	60	40	72	75	70	24	62	0	25	5	6,000,000$
12	Miles Wood			X		100.00	70	60	64	76	63	74	68	54	40	49	59	61	40	82	78	45	24	61	0	30	2	2,500,000$
13	Martin Fehervary				X	100.00	80	54	84	78	67	82	98	59	40	60	58	87	40	74	78	65	24	73	0	26	2	2,900,000$
14	Miro Heiskanen (A)				X	100.00	48	50	86	83	64	92	77	68	40	73	62	84	60	74	83	65	24	72	0	26	1	7,900,000$
15	Alexandre Carrier				X	100.00	62	41	80	83	46	84	97	59	40	63	55	81	40	80	82	50	24	70	0	29	2	3,800,000$
16	Ilya Lyubushkin				X	100.00	65	50	82	75	65	79	98	52	40	53	52	77	40	84	82	40	24	69	0	31	2	3,500,000$
17	J.J. Moser				X	100.00	55	46	82	78	56	81	80	56	40	58	55	86	40	72	77	70	24	69	0	25	6	4,000,000$
18	Zach Whitecloud				X	100.00	77	55	80	75	70	79	94	53	40	50	57	73	40	80	80	50	24	69	0	29	3	3,500,000$
Rayé
1	Henri Jokiharju				X	100.00	60	48	85	77	61	79	84	53	40	50	56	74	40	74	77	65	20	66	0	26	1	1,850,000$
2	Brendan Smith				X	100.00	70	69	69	76	65	72	65	53	40	53	54	67	40	94	83	15	20	65	0	36	1	2,000,000$
Équipe Mineure
1	Glenn Gawdin	X				100.00	64	56	74	80	64	81	71	60	40	61	60	70	99	78	80	55	18	65	0	28	1	700,000$
2	Riley Tufte		X			100.00	61	59	69	75	88	67	57	55	40	50	60	70	90	76	72	60	18	62	0	27	1	700,000$
3	Mackenzie MacEachern		X			100.00	72	49	63	78	63	60	50	58	40	61	55	70	40	84	72	40	18	61	0	31	1	650,000$
4	Ross Johnston			X		100.00	99	80	57	75	87	69	72	49	40	46	52	63	40	84	77	40	18	61	0	31	1	725,000$
5	Marat Khusnutdinov	X				100.00	57	41	85	79	47	75	94	52	79	48	55	67	40	68	72	80	18	60	0	23	2	925,000$
6	Liam O'Brien	X				100.00	99	85	54	75	71	70	62	48	40	46	50	64	40	84	77	40	16	59	0	31	1	650,000$
7	Sheldon Dries	X				100.00	71	50	79	78	45	74	64	50	70	39	62	66	40	84	79	40	18	59	0	31	1	650,000$
8	Stephen Halliday	X				100.00	59	44	76	75	75	80	70	54	70	57	52	50	73	68	74	80	20	59	0	23	2	925,000$
9	Patrick Giles (R)			X		100.00	69	58	90	75	80	70	55	47	69	40	55	62	40	72	71	70	18	58	0	25	3	850,000$
10	Kai Uchacz (R)		X			100.00	73	60	68	84	68	77	67	43	40	38	48	52	40	66	72	85	18	56	0	22	2	950,000$
11	Parker Ford (R)			X		100.00	55	49	72	91	50	60	50	46	40	34	58	67	40	72	66	70	18	56	0	25	3	950,000$
12	Calle Rosen				X	100.00	48	46	82	76	56	66	61	51	40	52	50	70	40	84	75	40	18	61	0	31	1	700,000$
13	Cam Dineen				X	100.00	55	44	83	81	54	63	58	58	40	67	49	61	40	76	70	60	18	61	0	27	1	700,000$
14	Montana Onyebuchi				X	100.00	79	86	55	75	77	68	63	32	40	29	36	66	40	72	70	70	18	60	0	25	1	632,500$
15	Philip Kemp				X	100.00	82	61	76	75	73	60	55	36	40	27	45	65	40	74	67	65	18	59	0	26	1	632,500$
16	Nick Cicek				X	100.00	81	64	68	75	67	55	50	36	40	35	37	63	40	72	64	70	18	58	0	25	1	632,500$
17	Artem Guryev				X	100.00	75	70	38	75	79	55	50	32	40	25	38	60	40	66	61	85	18	56	0	22	2	925,000$
18	Emmitt Finnie (R)	X				100.00	64	45	90	86	59	60	50	46	70	53	38	56	40	62	61	95	20	55	0	20	3	950,000$
19	Matyas Sapovaliv (R)		X			100.00	76	54	84	80	71	80	70	36	40	29	43	50	99	64	72	90	20	54	0	21	3	925,000$
20	Oskar Pettersson			X		100.00	52	39	82	75	70	76	66	34	40	27	41	59	40	68	72	80	20	52	0	23	2	925,000$
21	Coulson Pitre (R)			X		100.00	61	46	84	86	56	70	60	36	40	37	34	53	40	64	67	90	20	52	0	21	3	925,000$
22	James Stefan (R)			X		100.00	59	44	86	87	54	60	50	28	40	20	35	50	40	66	63	85	20	47	0	22	2	950,000$
23	Josh Filmon (R)		X			100.00	48	38	87	88	43	60	50	25	40	20	30	57	40	64	62	90	20	46	0	21	2	950,000$
24	Artem Grushnikov				X	100.00	58	50	82	75	63	65	60	29	40	25	32	50	40	66	66	85	20	53	0	22	2	925,000$

	MOYENNE D’ÉQUIPE					99.89	65	54	77	80	64	73	74	52	51	51	54	67	47	75	75	62	21	63

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Logan Thompson	99.00	86	82	88	95	83	85	84	87	86	85	97	78	82	55	25	83	0	28	4	5,900,000$
2	Philipp Grubauer	100.00	85	62	62	85	60	56	57	60	61	60	90	90	73	25	25	65	0	34	2	3,000,000$
Rayé
Équipe Mineure
1	Nikita Tolopilo (R)	100.00	75	64	66	99	50	52	52	50	50	52	91	72	62	70	19	60	0	25	3	950,000$
2	Isaac Poulter	100.00	88	64	67	85	50	50	50	50	50	50	50	70	60	75	19	58	0	24	1	800,000$
3	Jiri Patera	100.00	75	50	60	95	50	50	50	50	50	50	60	74	62	65	20	58	0	26	1	700,000$

	MOYENNE D’ÉQUIPE	99.80	82	64	69	92	59	59	59	59	59	59	78	77	68	58	22	65

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Craig Berube	92	92	93	85	95	77	50	CAN	60	4	5,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	P/20	PSG	PSS	FL	S1	S2	S3
1	Auston Matthews	Flyers	C	3	1	3	4	2	2	0	9	14	19	8	12	5.26%	2	75	25.31	1	0	1	6	14	0	17	0	59.84%	122	1.05	1	1	0	0	1	0
2	J.T. Compher	Flyers	RW	3	1	3	4	1	2	0	2	3	8	1	5	12.50%	0	63	21.02	1	3	4	2	16	0	7	0	100.00%	3	1.27	0	0	0	0	0	0
3	Miro Heiskanen	Flyers	D	3	0	4	4	0	0	0	0	6	3	1	6	0.00%	3	75	25.22	0	2	2	3	16	0	12	0	0.00%	0	1.06	0	1	0	0	0	0
4	Aliaksei Protas	Flyers	LW	3	1	2	3	2	2	0	2	6	14	2	14	7.14%	3	58	19.38	0	1	1	3	13	0	0	1	100.00%	1	1.03	0	0	0	0	0	1
5	Conor Garland	Flyers	RW	3	2	1	3	2	0	0	6	6	6	2	5	33.33%	0	70	23.58	0	1	1	0	14	0	17	0	20.00%	5	0.85	0	1	0	1	0	0
6	Martin Fehervary	Flyers	D	3	1	2	3	0	10	0	9	4	7	1	5	14.29%	6	74	24.84	1	1	2	4	16	0	9	0	0.00%	0	0.81	0	0	0	0	0	0
7	Dylan Strome	Flyers	C	3	1	1	2	2	2	0	0	8	5	2	5	20.00%	1	42	14.05	0	0	0	0	0	0	0	0	57.41%	54	0.95	0	0	0	1	0	0
8	Max Domi	Flyers	LW	3	1	1	2	0	9	5	4	3	2	2	2	50.00%	0	56	18.77	1	1	2	1	14	0	1	0	47.83%	23	0.71	0	0	1	0	0	0
9	Alexandre Carrier	Flyers	D	3	0	1	1	2	0	0	2	4	0	0	1	0.00%	5	61	20.53	0	0	0	0	0	0	12	0	0.00%	0	0.32	0	0	0	0	0	0
10	Jonny Brodzinski	Flyers	C	3	1	0	1	1	0	0	0	3	1	2	3	100.00%	0	18	6.13	0	0	0	0	0	0	0	0	81.25%	16	1.09	0	0	0	0	0	0
11	Eric Robinson	Flyers	RW	3	0	1	1	-1	2	0	4	1	0	1	3	0.00%	0	40	13.44	0	1	1	0	16	0	0	0	0.00%	3	0.50	0	0	0	0	0	0
12	J.J. Moser	Flyers	D	3	1	0	1	1	0	0	1	2	7	1	5	14.29%	1	59	19.97	0	0	0	2	13	0	15	0	0.00%	0	0.33	0	0	0	0	0	1
13	Zach Whitecloud	Flyers	D	3	1	0	1	1	4	0	5	2	3	1	4	33.33%	2	47	15.96	1	0	1	2	14	0	5	0	0.00%	0	0.42	0	0	0	0	0	0
14	Matias Maccelli	Flyers	LW	3	0	1	1	1	0	0	0	0	1	1	3	0.00%	0	20	6.73	0	0	0	0	2	0	0	0	50.00%	2	0.99	0	0	0	0	0	0
15	Mike Amadio	Flyers	C	3	0	0	0	-1	0	0	2	3	6	0	2	0.00%	1	31	10.53	0	0	0	0	0	1	8	0	53.06%	49	0.00	0	0	0	0	0	0
16	Miles Wood	Flyers	RW	3	0	0	0	1	2	0	5	0	4	1	0	0.00%	0	16	5.60	0	0	0	0	0	0	0	0	0.00%	1	0.00	0	0	0	0	0	0
17	Martin Pospisil	Flyers	RW	3	0	0	0	-1	2	0	4	2	0	0	3	0.00%	0	24	8.03	0	0	0	0	0	0	0	0	100.00%	1	0.00	0	0	0	0	0	0
18	Ilya Lyubushkin	Flyers	D	3	0	0	0	2	2	0	3	2	3	0	1	0.00%	3	45	15.11	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				54	11	20	31	15	39	5	58	69	89	26	79	12.36%	27	882	16.35	5	10	15	23	152	1	110	1	57.50%	280	0.70	1	3	1	2	1	2

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	Logan Thompson	Flyers	3	2	1	0	0.917	2.28	184	2	0	7	84	0	0	0	1.000	3	3	0	0	0	0
Statistiques d’équipe totales ou en moyenne			3	2	1	0	0.917	2.28	184	2	0	7	84	0	0	0	1.000	3	3	0	0	0	0

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	2039	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2040	2041	2042	2043	2044	2045	2046	Link
Alexandre Carrier	Flyers	D	29	1996-10-08	No	174 Lbs	5 ft11	No	No	Yes	2	Pro & Farm	3,800,000$	3,800,000$	3,693,258$	No	3,800,000$	UFA						Lien / Lien NHL
Aliaksei Protas	Flyers	LW	24	2001-01-06	No	247 Lbs	6 ft6	No	No	Yes	1	Pro Only	5,500,000$	5,500,000$	5,345,506$	No	RFA							Lien / Lien NHL
Auston Matthews	Flyers	C	28	1997-09-17	No	217 Lbs	6 ft3	Yes	No	Yes	7	Pro Only	1$	1$	1$	No	12,500,000$	12,500,000$	12,500,000$	12,500,000$	12,500,000$	12,500,000$	UFA	Lien / Lien NHL
Brendan Smith	Flyers	D	36	1989-02-08	No	200 Lbs	6 ft2	Yes	No	No	1	Pro & Farm	2,000,000$	2,000,000$	1,943,820$	No	UFA							Lien / Lien NHL
Conor Garland	Flyers	RW	29	1996-03-11	No	165 Lbs	5 ft10	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	4,859,551$	No	UFA							Lien / Lien NHL
Dylan Strome	Flyers	C	28	1997-03-07	No	196 Lbs	6 ft3	No	No	Yes	7	Pro Only	7,250,000$	7,250,000$	7,046,348$	No	7,250,000$	7,250,000$	7,250,000$	7,250,000$	7,250,000$	7,250,000$	UFA	Lien / Lien NHL
Eric Robinson	Flyers	RW	30	1995-06-14	No	211 Lbs	6 ft2	No	No	Yes	3	Pro & Farm	3,000,000$	3,000,000$	2,915,730$	No	3,000,000$	3,000,000$	UFA					Lien / Lien NHL
Henri Jokiharju	Flyers	D	26	1999-06-17	No	200 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,850,000$	1,850,000$	1,798,034$	No	RFA							Lien / Lien NHL
Ilya Lyubushkin	Flyers	D	31	1994-04-06	No	200 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	3,500,000$	3,500,000$	3,401,685$	No	3,500,000$	UFA						Lien / Lien NHL
J.J. Moser	Flyers	D	25	2000-06-06	No	181 Lbs	6 ft2	No	No	Yes	6	Pro & Farm	4,000,000$	4,000,000$	3,887,640$	No	4,000,000$	4,000,000$	4,000,000$	4,000,000$	4,000,000$	UFA		Lien / Lien NHL
J.T. Compher	Flyers	RW	30	1995-04-08	No	190 Lbs	6 ft0	No	No	Yes	3	Pro Only	6,100,000$	6,100,000$	5,928,652$	No	6,100,000$	6,100,000$	UFA					Lien / Lien NHL
Jonny Brodzinski	Flyers	C	32	1993-06-19	No	211 Lbs	6 ft0	No	No	No	1	Pro & Farm	800,000$	800,000$	777,528$	No	UFA							Lien / Lien NHL
Logan Thompson	Flyers	G	28	1997-02-25	No	212 Lbs	6 ft4	No	No	Yes	4	Pro Only	5,900,000$	5,900,000$	5,734,270$	No	5,900,000$	5,900,000$	5,900,000$	UFA				Lien / Lien NHL
Martin Fehervary	Flyers	D	26	1999-10-06	No	203 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	2,900,000$	2,900,000$	2,818,539$	No	2,900,000$	UFA						Lien / Lien NHL
Martin Pospisil	Flyers	RW	26	1999-11-19	No	173 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,440,000$	1,440,000$	1,399,551$	No	RFA							Lien / Lien NHL
Matias Maccelli	Flyers	LW	25	2000-10-14	No	185 Lbs	5 ft11	No	No	Yes	5	Pro Only	6,000,000$	6,000,000$	5,831,461$	No	6,000,000$	6,000,000$	6,000,000$	6,000,000$	UFA			Lien / Lien NHL
Max Domi	Flyers	LW	30	1995-03-02	No	209 Lbs	5 ft10	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	4,859,551$	No	UFA							Lien / Lien NHL
Mike Amadio	Flyers	C	29	1996-05-13	No	199 Lbs	6 ft1	No	No	Yes	2	Pro & Farm	2,100,000$	2,100,000$	2,041,011$	No	2,100,000$	UFA						Lien / Lien NHL
Miles Wood	Flyers	RW	30	1995-09-13	No	195 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	2,500,000$	2,500,000$	2,429,775$	No	2,500,000$	UFA						Lien / Lien NHL
Miro Heiskanen	Flyers	D	26	1999-07-18	No	197 Lbs	6 ft2	No	No	Yes	1	Pro Only	7,900,000$	7,900,000$	7,678,090$	No	RFA							Lien / Lien NHL
Philipp Grubauer	Flyers	G	34	1991-11-25	No	180 Lbs	6 ft0	No	No	Yes	2	Pro & Farm	3,000,000$	3,000,000$	2,915,730$	No	3,000,000$	UFA						Lien / Lien NHL
Zach Whitecloud	Flyers	D	29	1996-11-28	No	210 Lbs	6 ft2	No	No	Yes	3	Pro & Farm	3,500,000$	3,500,000$	3,401,685$	No	3,500,000$	3,500,000$	UFA					Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	28.68	198 Lbs	6 ft1	2.64	3,774,546$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
83,040,001$	66,050,000$	48,250,000$	35,650,000$	29,750,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Aliaksei Protas	Auston Matthews	Conor Garland	36	1	1	3
2	Max Domi	Dylan Strome	J.T. Compher	34	1	1	3
3	Martin Pospisil	Mike Amadio	Eric Robinson	20	1	2	2
4	Matias Maccelli	Jonny Brodzinski	Miles Wood	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Martin Fehervary	Miro Heiskanen	40	0	2	3
2	Alexandre Carrier	Ilya Lyubushkin	35	1	2	2
3	J.J. Moser	Zach Whitecloud	25	1	2	2
4	Martin Fehervary	Miro Heiskanen	0	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Aliaksei Protas	Auston Matthews	Conor Garland	60	1	1	3
2	J.T. Compher	Max Domi	Eric Robinson	40	1	1	3

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Martin Fehervary	Miro Heiskanen	60	1	2	2
2	J.J. Moser	Zach Whitecloud	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Auston Matthews	Conor Garland	60	1	2	2
2	Mike Amadio	J.T. Compher	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Martin Fehervary	J.J. Moser	60	1	2	2
2	Miro Heiskanen	Alexandre Carrier	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Auston Matthews	60	1	3	1	Martin Fehervary	J.J. Moser	60	1	3	1
2	Mike Amadio	40	1	3	1	Miro Heiskanen	Alexandre Carrier	40	1	3	1

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Auston Matthews	Aliaksei Protas	60	0	2	3
2	Dylan Strome	Conor Garland	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Martin Fehervary	Miro Heiskanen	60	1	2	2
2	Alexandre Carrier	J.J. Moser	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Conor Garland	Auston Matthews	Aliaksei Protas	Martin Fehervary	Miro Heiskanen

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Conor Garland	Auston Matthews	Aliaksei Protas	Martin Fehervary	Miro Heiskanen

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Eric Robinson, Martin Pospisil, Jonny Brodzinski	Matias Maccelli, Max Domi	Max Domi

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Ilya Lyubushkin, Martin Fehervary, Zach Whitecloud	Martin Fehervary	Zach Whitecloud, Martin Fehervary

Tirs de pénalité
Conor Garland, Auston Matthews, Miro Heiskanen, Dylan Strome, Max Domi

Gardien
#1 : Logan Thompson, #2 : Philipp Grubauer

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	Blues	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	3	2	1	2	1.000	3	3	6	0	0	0	1	1	1	35	9	9	12	8	16	13	7	15	8	0	0.00%	0	0	0.00%	0	66	116	56.90%	68	115	59.13%	27	44	61.36%	30	20	20	7	13	7
2	Hurricanes	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	4	6	0	0	2	0	0	0	26	10	5	11	0	37	7	20	23	4	2	50.00%	9	2	77.78%	0	66	116	56.90%	68	115	59.13%	27	44	61.36%	22	14	26	8	11	5
3	Stars	1	1	0	0	0	0	0	0	7	2	5	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	2	5	2	1.000	7	13	20	0	0	1	5	1	0	28	6	16	6	0	31	7	14	20	7	3	42.86%	7	2	71.43%	0	66	116	56.90%	68	115	59.13%	27	44	61.36%	22	14	24	8	12	5
	Total	3	1	1	0	0	0	1	0	12	7	5	1	0	1	0	0	0	0	0	2	3	-1	2	1	0	0	0	0	1	0	10	4	6	4	0.667	12	20	32	0	0	3	6	2	1	89	25	30	29	8	84	27	41	58	19	5	26.32%	16	4	75.00%	0	66	116	56.90%	68	115	59.13%	27	44	61.36%	75	49	71	24	37	19
	_Since Last GM Reset	3	1	1	0	0	0	1	0	12	7	5	1	0	1	0	0	0	0	0	2	3	-1	2	1	0	0	0	0	1	0	10	4	6	4	0.667	12	20	32	0	0	3	6	2	1	89	25	30	29	8	84	27	41	58	19	5	26.32%	16	4	75.00%	0	66	116	56.90%	68	115	59.13%	27	44	61.36%	75	49	71	24	37	19
	_Vs Conference	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	4	6	0	0	2	0	0	0	26	10	5	11	0	37	7	20	23	4	2	50.00%	9	2	77.78%	0	66	116	56.90%	68	115	59.13%	27	44	61.36%	22	14	26	8	11	5
	_Vs Division	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	4	6	0	0	2	0	0	0	26	10	5	11	0	37	7	20	23	4	2	50.00%	9	2	77.78%	0	66	116	56.90%	68	115	59.13%	27	44	61.36%	22	14	26	8	11	5

			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
3	4	W1	12	20	32	89	84	27	41	58	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	1	0	0	1	0	12	7

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	1	0	0	0	0	2	3

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	0	0	0	1	0	10	4

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
1	1	0	0	1	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
19	5	26.32%	16	4	75.00%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
25	30	29	8	3	6	2	1

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
66	116	56.90%	68	115	59.13%	27	44	61.36%

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
75	49	71	24	37	19

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	Lien
1	11	Hurricanes	3	Flyers	2	BL			Sommaire du match
3	27	Flyers	3	Blues	2	AW	X	X	Sommaire du match
5	38	Flyers	7	Stars	2	AW			Sommaire du match
7	55	Rangers	-	Flyers	-
8	59	Flyers	-	Hurricanes	-
11	87	MapleLeafs	-	Flyers	-
14	108	Flyers	-	Capitals	-
15	117	Islanders	-	Flyers	-
17	127	Flyers	-	Blackhawks	-
19	149	Canadiens	-	Flyers	-
21	160	Flyers	-	Penguins	-
23	178	Flyers	-	MapleLeafs	-
24	187	Capitals	-	Flyers	-
27	206	Senators	-	Flyers	-
29	220	Flyers	-	Islanders	-
32	241	Capitals	-	Flyers	-
35	260	Flyers	-	Islanders	-
37	277	Flyers	-	Devils	-
38	284	Flyers	-	BlueJackets	-
40	300	Sabres	-	Flyers	-
43	324	Penguins	-	Flyers	-
45	336	Flyers	-	Canadiens	-
47	355	Lightning	-	Flyers	-
49	364	Flyers	-	RedWings	-
50	375	RedWings	-	Flyers	-
54	403	Flyers	-	Wild	-
55	410	Penguins	-	Flyers	-
57	429	Ducks	-	Flyers	-
59	447	Kings	-	Flyers	-
62	466	Canucks	-	Flyers	-
64	480	Oilers	-	Flyers	-
66	492	Flyers	-	Bruins	-
68	499	Flyers	-	Rangers	-
69	500	Jets	-	Flyers	-
74	527	Flyers	-	Canadiens	-
77	550	Bruins	-	Flyers	-
79	565	Wild	-	Flyers	-
81	581	Flyers	-	Devils	-
83	597	Stars	-	Flyers	-
85	615	Flyers	-	Capitals	-
86	618	Blues	-	Flyers	-
88	633	Flames	-	Flyers	-
90	649	Hurricanes	-	Flyers	-
92	659	Flyers	-	Predators	-
93	663	Flyers	-	Hurricanes	-
95	681	Flyers	-	Panthers	-
97	702	Flyers	-	Lightning	-
98	710	Flyers	-	Rangers	-
99	723	BlueJackets	-	Flyers	-
101	737	Predators	-	Flyers	-
103	754	RedWings	-	Flyers	-
106	776	Flyers	-	Canucks	-
107	781	Flyers	-	Oilers	-
109	795	Flyers	-	Flames	-
112	818	Flyers	-	Jets	-
113	821	Flyers	-	Sabres	-
115	838	BlueJackets	-	Flyers	-
120	876	Flyers	-	Penguins	-
124	902	Senators	-	Flyers	-
127	924	Flyers	-	MapleLeafs	-
128	935	Rangers	-	Flyers	-
129	943	Flyers	-	Sabres	-
133	978	Lightning	-	Flyers	-
135	993	Devils	-	Flyers	-
137	1007	Panthers	-	Flyers	-
140	1028	Blackhawks	-	Flyers	-
142	1044	Mammoth	-	Flyers	-
145	1058	Flyers	-	Mammoth	-
147	1074	Flyers	-	Sharks	-
149	1086	Flyers	-	Kings	-
151	1095	Flyers	-	Ducks	-
154	1121	Islanders	-	Flyers	-
156	1130	Flyers	-	Bruins	-
159	1152	Avalanche	-	Flyers	-
161	1165	Devils	-	Flyers	-
163	1174	Flyers	-	BlueJackets	-
165	1190	Panthers	-	Flyers	-
168	1213	GoldenKnights	-	Flyers	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
170	1229	Flyers	-	Senators	-
171	1235	Sharks	-	Flyers	-
174	1247	Flyers	-	Avalanche	-
176	1267	Flyers	-	GoldenKnights	-

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Aliaksei Protas

AGE:24
SK:		84
EN:		82
DU:		95
PH:		81
PA:		79
SC:		82
DF:		89
Max Domi

AGE:30
SK:		83
EN:		79
DU:		94
PH:		63
PA:		68
SC:		59
DF:		65
Matias Maccelli

AGE:25
SK:		81
EN:		77
DU:		81
PH:		58
PA:		55
SC:		62
DF:		60
Riley Tufte

AGE:27
SK:		75
EN:		67
DU:		57
PH:		55
PA:		50
SC:		60
DF:		70
Mackenzie MacEachern

AGE:31
SK:		78
EN:		60
DU:		50
PH:		58
PA:		61
SC:		55
DF:		70
Kai Uchacz (R)

AGE:22
SK:		84
EN:		77
DU:		67
PH:		43
PA:		38
SC:		48
DF:		52
Matyas Sapovaliv (R)

AGE:21
SK:		80
EN:		80
DU:		70
PH:		36
PA:		29
SC:		43
DF:		50
Josh Filmon (R)

AGE:21
SK:		88
EN:		60
DU:		50
PH:		25
PA:		20
SC:		30
DF:		57

Auston Matthews

AGE:28
SK:		94
EN:		89
DU:		89
PH:		93
PA:		95
SC:		90
DF:		94
Dylan Strome

AGE:28
SK:		92
EN:		84
DU:		99
PH:		86
PA:		93
SC:		79
DF:		67
Mike Amadio

AGE:29
SK:		80
EN:		78
DU:		92
PH:		60
PA:		58
SC:		63
DF:		75
Glenn Gawdin

AGE:28
SK:		80
EN:		81
DU:		71
PH:		60
PA:		61
SC:		60
DF:		70
Jonny Brodzinski

AGE:32
SK:		80
EN:		74
DU:		78
PH:		60
PA:		51
SC:		69
DF:		66
Marat Khusnutdinov

AGE:23
SK:		79
EN:		75
DU:		94
PH:		52
PA:		48
SC:		55
DF:		67
Stephen Halliday

AGE:23
SK:		75
EN:		80
DU:		70
PH:		54
PA:		57
SC:		52
DF:		50
Liam O'Brien

AGE:31
SK:		75
EN:		70
DU:		62
PH:		48
PA:		46
SC:		50
DF:		64
Sheldon Dries

AGE:31
SK:		78
EN:		74
DU:		64
PH:		50
PA:		39
SC:		62
DF:		66
Emmitt Finnie (R)

AGE:20
SK:		86
EN:		60
DU:		50
PH:		46
PA:		53
SC:		38
DF:		56

Conor Garland

AGE:29
SK:		89
EN:		86
DU:		98
PH:		70
PA:		71
SC:		69
DF:		74
J.T. Compher

AGE:30
SK:		82
EN:		82
DU:		95
PH:		62
PA:		63
SC:		62
DF:		73
Eric Robinson

AGE:30
SK:		79
EN:		75
DU:		99
PH:		61
PA:		58
SC:		64
DF:		66
Martin Pospisil

AGE:26
SK:		80
EN:		77
DU:		98
PH:		58
PA:		61
SC:		54
DF:		67
Miles Wood

AGE:30
SK:		76
EN:		74
DU:		68
PH:		54
PA:		49
SC:		59
DF:		61
Ross Johnston

AGE:31
SK:		75
EN:		69
DU:		72
PH:		49
PA:		46
SC:		52
DF:		63
Patrick Giles (R)

AGE:25
SK:		75
EN:		70
DU:		55
PH:		47
PA:		40
SC:		55
DF:		62
Parker Ford (R)

AGE:25
SK:		91
EN:		60
DU:		50
PH:		46
PA:		34
SC:		58
DF:		67
Coulson Pitre (R)

AGE:21
SK:		86
EN:		70
DU:		60
PH:		36
PA:		37
SC:		34
DF:		53
Oskar Pettersson

AGE:23
SK:		75
EN:		76
DU:		66
PH:		34
PA:		27
SC:		41
DF:		59
James Stefan (R)

AGE:22
SK:		87
EN:		60
DU:		50
PH:		28
PA:		20
SC:		35
DF:		50

Défense #1

Défense #2

Gardien

Martin Fehervary

AGE:26
SK:		78
EN:		82
DU:		98
PH:		59
PA:		60
SC:		58
DF:		87
Miro Heiskanen

AGE:26
SK:		83
EN:		92
DU:		77
PH:		68
PA:		73
SC:		62
DF:		84
Alexandre Carrier

AGE:29
SK:		83
EN:		84
DU:		97
PH:		59
PA:		63
SC:		55
DF:		81
J.J. Moser

AGE:25
SK:		78
EN:		81
DU:		80
PH:		56
PA:		58
SC:		55
DF:		86
Zach Whitecloud

AGE:29
SK:		75
EN:		79
DU:		94
PH:		53
PA:		50
SC:		57
DF:		73
Ilya Lyubushkin

AGE:31
SK:		75
EN:		79
DU:		98
PH:		52
PA:		53
SC:		52
DF:		77
Henri Jokiharju

AGE:26
SK:		77
EN:		79
DU:		84
PH:		53
PA:		50
SC:		56
DF:		74
Brendan Smith

AGE:36
SK:		76
EN:		72
DU:		65
PH:		53
PA:		53
SC:		54
DF:		67

Cam Dineen

AGE:27
SK:		81
EN:		63
DU:		58
PH:		58
PA:		67
SC:		49
DF:		61
Calle Rosen

AGE:31
SK:		76
EN:		66
DU:		61
PH:		51
PA:		52
SC:		50
DF:		70
Montana Onyebuchi

AGE:25
SK:		75
EN:		68
DU:		63
PH:		32
PA:		29
SC:		36
DF:		66
Philip Kemp

AGE:26
SK:		75
EN:		60
DU:		55
PH:		36
PA:		27
SC:		45
DF:		65
Nick Cicek

AGE:25
SK:		75
EN:		55
DU:		50
PH:		36
PA:		35
SC:		37
DF:		63
Artem Guryev

AGE:22
SK:		75
EN:		55
DU:		50
PH:		32
PA:		25
SC:		38
DF:		60
Artem Grushnikov

AGE:22
SK:		75
EN:		65
DU:		60
PH:		29
PA:		25
SC:		32
DF:		50

Logan Thompson

AGE:28
SK:		86
AG:		83
RB:		85
SC:		84
HS:		87
RT:		86
DF:		85
Philipp Grubauer

AGE:34
SK:		85
AG:		60
RB:		56
SC:		57
HS:		60
RT:		61
DF:		60
Nikita Tolopilo (R)

AGE:25
SK:		75
AG:		50
RB:		52
SC:		52
HS:		50
RT:		50
DF:		52
Isaac Poulter

AGE:24
SK:		88
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Jiri Patera

AGE:26
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

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
Alexis Mathieu	Flyers	2039	168
Anthony Allain-Samake	Flyers	2039	199
Ben Kevan	Flyers	2039	87
Cameron Macdonald	Flyers	2035	194
Connor Clattenburg	Flyers	2038	176
Hoyt Stanley	Flyers	2037	137
Jack Nesbitt	Flyers	2039	23
Kasper Pikkarainen	Flyers	2038	114
Ludvig Lafton	Flyers	2038	207
Matous Kucharcik	Flyers	2039	137
Sergei Ivanov	Flyers	2036	161
Vadim Moroz	Flyers	2037	106
Viktor Norringer	Flyers	2038	145
Will Skahan	Flyers	2038	83

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7
2040
2041
2042

Flyers Leaders statistiques (saison régulière)

Afficher ou masquer des colonnes

#	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
1	Auston Matthews	497	362	357	719	106	239	587	1953	2649	13.67%	211	12205	24.56	105	107	212	659	12	9	21	78	61	15	53.37%	16	1.18	13	37
2	Alexei Semenov	1575	249	420	669	-1	1539	2124	2029	2593	9.60%	953	27071	17.19	40	67	107	291	6	15	21	69	35	23	49.89%	2	0.49	13	43
3	Jason Spezza	580	275	388	663	102	174	361	1573	2210	12.44%	200	13365	23.04	73	143	216	520	10	4	14	60	35	14	55.78%	9	0.99	20	58
4	Clayton Keller	460	182	269	451	30	62	164	1033	1664	10.94%	116	9274	20.16	45	92	137	392	3	5	8	34	22	8	34.62%	4	0.97	5	28
5	Kyle Okposo	703	174	263	437	6	527	1052	925	1736	10.02%	124	13943	19.83	51	115	166	441	1	1	2	26	19	16	40.07%	2	0.63	11	43

Flyers Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Cory Schneider	201	107	71	11	0.909	2.89	11557	24	11	557	6119	10	5	0.786	103
2	Logan Thompson	177	97	59	11	0.904	3.04	10245	18	6	519	5418	7	0	0.821	28
3	Jaroslav Halak	210	89	100	11	0.896	3.12	11926	16	14	621	5953	7	3	0.833	90
4	Ben Bishop	126	69	41	10	0.900	3.00	7258	25	5	363	3617	6	1	0.667	24
5	Chris Driedger	158	67	67	10	0.904	3.17	8757	24	6	463	4833	14	1	0.695	59

Flyers Statistiques de l'Équipe de Carrière

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
2017	82	30	31	0	1	7	7	6	227	245	-18	41	15	16	0	1	2	3	4	113	119	-6	41	15	15	0	0	5	4	2	114	126	-12	69	227	353	580	1	2	0	69	63	87	2242	0	718	704	796	2410	834	1241	1813	257	25	9.73%	264	40	84.85%	6	933	1830	50.98%	1032	1962	52.60%	665	1306	50.92%	1769	961	1801	843	1586	815
2018	82	39	26	0	4	1	5	7	266	211	55	41	17	14	0	3	0	2	5	133	112	21	41	22	12	0	1	1	3	2	133	99	34	87	266	425	691	0	4	0	73	76	108	2524	0	839	801	857	2434	776	1167	2012	218	42	19.27%	233	35	84.98%	11	1007	1957	51.46%	1008	1961	51.40%	688	1347	51.08%	1799	1026	1669	744	1523	772
2019	82	37	28	0	4	3	8	2	236	206	30	41	17	14	0	2	2	6	0	117	109	8	41	20	14	0	2	1	2	2	119	97	22	85	236	359	595	2	6	0	59	83	82	2251	0	640	766	819	2328	791	856	1777	232	36	15.52%	177	26	85.31%	5	986	1826	54.00%	979	1867	52.44%	575	1113	51.66%	1747	949	1625	769	1604	823
2020	82	28	35	0	1	5	6	7	216	243	-27	41	15	20	0	0	1	1	4	106	121	-15	41	13	15	0	1	4	5	3	110	122	-12	63	216	340	556	5	2	0	63	67	79	2305	0	684	730	863	2357	839	1148	1746	222	41	18.47%	237	48	79.75%	4	997	1923	51.85%	921	1886	48.83%	616	1175	52.43%	1685	892	1684	787	1620	821
2021	82	44	19	0	2	3	9	5	283	205	78	41	27	9	0	1	0	2	2	151	97	54	41	17	10	0	1	3	7	3	132	108	24	95	283	486	769	3	11	0	96	94	82	2652	0	852	907	857	2145	710	959	1710	448	80	17.86%	403	69	82.88%	3	1711	3134	54.59%	1423	2755	51.65%	684	1257	54.42%	2160	1532	1824	587	1018	534
2022	82	27	41	0	1	4	7	2	206	245	-39	41	15	19	0	1	3	2	1	110	124	-14	41	12	22	0	0	1	5	1	96	121	-25	60	206	351	557	0	7	0	75	70	53	2298	0	790	736	754	2450	702	1026	1847	415	61	14.70%	419	87	79.24%	5	1536	2879	53.35%	1535	2942	52.18%	673	1235	54.49%	2057	1440	1892	596	1026	517
2023	82	42	28	0	2	4	4	2	302	257	45	41	20	11	0	1	3	4	2	156	126	30	41	22	17	0	1	1	0	0	146	131	15	92	302	527	829	1	2	0	112	87	97	2684	0	861	862	938	2418	694	910	1729	460	97	21.09%	418	93	77.75%	3	1653	3042	54.34%	1508	2903	51.95%	697	1330	52.41%	2018	1409	1924	607	1019	511
2024	82	41	32	0	2	1	3	3	318	260	58	41	19	19	0	1	0	1	1	159	129	30	41	22	13	0	1	1	2	2	159	131	28	96	318	562	880	5	7	0	111	109	93	2711	0	904	910	873	2560	736	930	1713	474	112	23.63%	393	82	79.13%	3	1692	3117	54.28%	1520	2997	50.72%	670	1342	49.93%	2060	1451	1886	600	1010	510
2025	82	49	23	0	1	4	1	4	309	236	73	41	26	10	0	1	2	1	1	163	116	47	41	23	13	0	0	2	0	3	146	120	26	110	309	550	859	0	3	0	114	96	97	2537	0	799	906	822	2459	675	979	1732	459	109	23.75%	407	87	78.62%	6	1668	3065	54.42%	1505	2885	52.17%	720	1331	54.09%	2076	1441	1844	604	1029	522
2026	82	39	33	0	0	2	6	2	272	274	-2	41	19	20	0	0	0	2	0	122	134	-12	41	20	13	0	0	2	4	2	150	140	10	94	272	468	740	3	0	0	100	101	65	2435	0	829	811	778	2647	712	1117	1811	420	78	18.57%	443	98	77.88%	5	1495	2903	51.50%	1486	3135	47.40%	629	1355	46.42%	1981	1383	1971	609	1009	499
2027	82	39	35	0	1	2	3	2	280	267	13	41	21	16	0	0	0	3	1	145	130	15	41	18	19	0	1	2	0	1	135	137	-2	90	280	507	787	0	3	0	93	114	69	2357	0	767	813	768	2647	748	1077	1978	402	104	25.87%	451	100	77.83%	5	1210	2769	43.70%	1252	3121	40.12%	566	1353	41.83%	1982	1371	1943	603	1020	510
2030	82	34	31	0	2	0	11	4	250	241	9	41	20	12	0	2	0	4	3	133	114	19	41	14	19	0	0	0	7	1	117	127	-10	98	250	435	685	2	8	0	82	73	82	2538	0	831	809	867	2654	795	965	1845	395	84	21.27%	436	81	81.42%	0	1534	3046	50.36%	1406	3133	44.88%	622	1254	49.60%	1955	1332	2000	622	1042	518
2031	82	35	35	0	0	0	5	7	275	277	-2	41	16	21	0	0	0	3	1	131	143	-12	41	19	14	0	0	0	2	6	144	134	10	87	275	474	749	3	3	0	96	91	83	2486	0	783	852	830	2750	808	897	1875	396	79	19.95%	415	78	81.20%	3	1308	2923	44.75%	1388	3204	43.32%	604	1334	45.28%	1903	1297	2050	625	1026	498
2032	82	31	39	0	1	1	6	4	263	293	-30	41	16	20	0	0	1	3	1	122	138	-16	41	15	19	0	1	0	3	3	141	155	-14	81	263	457	720	0	1	0	102	81	73	2444	0	801	828	784	2854	842	952	1864	385	74	19.22%	398	73	81.66%	2	1291	2895	44.59%	1451	3292	44.08%	606	1330	45.56%	1839	1238	2108	626	1028	493
2033	82	16	57	0	0	4	3	2	225	324	-99	41	11	26	0	0	2	2	0	127	166	-39	41	5	31	0	0	2	1	2	98	158	-60	44	225	399	624	0	3	0	88	63	71	2174	0	728	664	769	2706	799	1024	1862	394	67	17.01%	451	98	78.27%	6	1295	2711	47.77%	1412	3068	46.02%	630	1349	46.70%	1862	1243	2052	626	1037	509
2034	82	24	44	0	3	0	6	5	268	306	-38	41	12	21	0	1	0	4	3	133	154	-21	41	12	23	0	2	0	2	2	135	152	-17	71	268	449	717	1	3	0	95	86	78	2638	0	893	826	888	2937	807	879	1760	387	74	19.12%	374	80	78.61%	2	1523	2976	51.18%	1598	3240	49.32%	715	1367	52.30%	1810	1220	2127	631	1040	502
2035	82	27	44	0	3	0	4	4	230	279	-49	41	15	20	0	3	0	2	1	111	128	-17	41	12	24	0	0	0	2	3	119	151	-32	72	230	400	630	1	3	0	86	74	63	2389	0	752	828	788	2751	792	1004	1853	354	61	17.23%	443	82	81.49%	4	1451	2798	51.86%	1567	3148	49.78%	695	1348	51.56%	1873	1263	2045	626	1046	509
2036	82	33	35	0	4	5	2	3	307	315	-8	41	18	15	0	4	3	0	1	164	159	5	41	15	20	0	0	2	2	2	143	156	-13	86	307	519	826	0	4	0	111	98	92	2803	0	892	933	948	2689	787	1092	1838	399	83	20.80%	480	113	76.46%	5	1690	3095	54.60%	1528	2952	51.76%	727	1403	51.82%	1968	1359	1965	606	1028	505
2037	82	47	27	0	1	3	3	1	316	254	62	41	26	12	0	0	3	0	0	154	121	33	41	21	15	0	1	0	3	1	162	133	29	106	316	547	863	0	1	115	104	93	5	2620	870	876	859	28	2599	744	1019	1747	395	84	21.27%	436	79	81.88%	4	1493	2912	51.27%	1580	3003	52.61%	716	1330	53.83%	1939	1324	1977	617	1032	505
2038	82	33	35	0	4	6	2	2	250	258	-8	41	20	13	0	2	4	2	0	136	114	22	41	13	22	0	2	2	0	2	114	144	-30	86	250	439	689	0	2	99	75	70	9	2385	797	750	803	47	2602	777	975	1766	389	67	17.22%	419	87	79.24%	5	1385	2698	51.33%	1546	2952	52.37%	642	1273	50.43%	1957	1355	1979	616	1024	506
2039	3	1	1	0	0	0	1	0	12	7	5	1	0	1	0	0	0	0	0	2	3	-1	2	1	0	0	0	0	1	0	10	4	6	4	12	20	32	0	0	3	6	2	1	89	25	30	29	8	84	27	41	58	19	5	26.32%	16	4	75.00%	0	66	116	56.90%	68	115	59.13%	27	44	61.36%	75	49	71	24	37	19
Total Saison régulière	1643	696	679	0	37	55	102	74	5311	5203	108	821	365	329	0	23	26	47	31	2688	2557	131	822	331	350	0	14	29	55	43	2623	2646	-23	1676	5311	9067	14378	27	75	217	1810	1691	1469	49562	1692	16019	16377	15082	51481	15395	20258	36336	7520	1463	19.45%	7713	1540	80.03%	87	27924	54615	51.13%	27713	56521	49.03%	13167	26176	50.30%	38528	25544	38446	12976	22816	11409
Séries éliminatoires
2017	9	5	4	0	0	0	0	0	21	21	0	4	2	2	0	0	0	0	0	8	9	-1	5	3	2	0	0	0	0	0	13	12	1	10	21	34	55	0	0	0	6	4	9	266	0	65	90	103	222	81	145	213	28	2	7.14%	38	6	84.21%	0	115	217	53.00%	119	216	55.09%	62	128	48.44%	196	108	1979	932	177	84
2018	10	4	6	0	0	0	0	0	25	30	-5	5	2	3	0	0	0	0	0	12	16	-4	5	2	3	0	0	0	0	0	13	14	-1	8	25	38	63	0	1	0	8	10	7	282	0	75	108	96	291	92	117	249	34	5	14.71%	24	6	75.00%	0	144	256	56.25%	129	226	57.08%	81	151	53.64%	223	125	191	91	187	95
2019	5	1	4	0	0	0	0	0	6	9	-3	3	0	3	0	0	0	0	0	4	8	-4	2	1	1	0	0	0	0	0	2	1	1	2	6	12	18	0	1	0	1	3	2	107	0	18	42	35	121	32	30	95	2	0	0.00%	14	3	78.57%	0	53	84	63.10%	55	100	55.00%	34	52	65.38%	103	51	92	51	115	58
2021	23	14	9	0	0	0	0	0	70	66	4	12	8	4	0	0	0	0	0	36	30	6	11	6	5	0	0	0	0	0	34	36	-2	28	70	123	193	0	3	0	18	25	24	682	0	206	229	218	582	194	264	490	109	24	22.02%	115	24	79.13%	0	448	847	52.89%	393	760	51.71%	168	344	48.84%	602	428	546	168	285	145
2023	5	1	4	0	0	0	0	0	12	15	-3	3	1	2	0	0	0	0	0	8	9	-1	2	0	2	0	0	0	0	0	4	6	-2	2	12	22	34	0	0	0	8	2	2	177	0	58	55	64	170	46	74	122	32	3	9.38%	28	5	82.14%	1	119	208	57.21%	109	205	53.17%	42	80	52.50%	113	77	128	37	59	28
2024	5	1	4	0	0	0	0	0	16	15	1	3	1	2	0	0	0	0	0	12	9	3	2	0	2	0	0	0	0	0	4	6	-2	2	16	29	45	0	0	0	9	4	3	143	0	57	37	49	143	33	64	124	25	6	24.00%	26	6	76.92%	1	90	187	48.13%	91	181	50.28%	35	71	49.30%	117	80	118	38	63	31
2025	18	11	7	0	0	0	0	0	50	56	-6	10	6	4	0	0	0	0	0	28	33	-5	8	5	3	0	0	0	0	0	22	23	-1	22	50	92	142	0	0	0	17	16	15	498	0	148	170	165	636	171	270	397	96	17	17.71%	109	21	80.73%	0	308	626	49.20%	401	747	53.68%	146	267	54.68%	460	319	422	140	233	116
2026	5	1	4	0	0	0	0	0	17	24	-7	2	0	2	0	0	0	0	0	7	9	-2	3	1	2	0	0	0	0	0	10	15	-5	2	17	30	47	1	0	0	8	6	3	141	0	57	37	46	201	67	74	115	25	3	12.00%	31	9	70.97%	1	83	184	45.11%	114	233	48.93%	50	90	55.56%	112	75	133	40	62	30
2027	7	3	4	0	0	0	0	0	22	24	-2	3	2	1	0	0	0	0	0	11	10	1	4	1	3	0	0	0	0	0	11	14	-3	6	22	38	60	0	0	0	5	8	7	204	0	59	68	47	256	90	111	168	30	7	23.33%	50	9	82.00%	0	111	250	44.40%	134	301	44.52%	37	107	34.58%	179	120	199	58	96	46
2030	7	3	4	0	0	0	0	0	17	25	-8	3	2	1	0	0	0	0	0	7	9	-2	4	1	3	0	0	0	0	0	10	16	-6	6	17	30	47	0	0	0	5	5	6	163	0	47	63	51	245	72	114	142	31	4	12.90%	46	9	80.43%	0	91	210	43.33%	124	308	40.26%	54	119	45.38%	156	105	185	54	83	37
2037	4	0	4	0	0	0	0	0	12	17	-5	2	0	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	6	9	-3	0	12	20	32	0	0	5	1	6	0	121	42	39	40	0	144	47	46	85	21	5	23.81%	17	6	64.71%	0	72	143	50.35%	89	165	53.94%	29	65	44.62%	88	60	101	31	50	23
Total Séries éliminatoires	98	44	54	0	0	0	0	0	268	302	-34	50	24	26	0	0	0	0	0	139	150	-11	48	20	28	0	0	0	0	0	129	152	-23	88	268	468	736	1	5	5	86	89	78	2784	42	829	939	874	3011	925	1309	2200	433	76	17.55%	498	104	79.12%	3	1634	3212	50.87%	1758	3442	51.07%	738	1474	50.07%	2354	1553	4100	1643	1415	699

Flyers Leaders statistiques (séries éliminatoires)

Afficher ou masquer des colonnes

#	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
1	Jason Spezza	61	21	37	58	1	15	34	142	171	12.28%	6	1317	21.60	4	15	19	41	0	2	2	0	5	0	54.37%	0	0.88
2	Brad Stuart	162	21	34	55	21	145	213	165	266	7.89%	81	2678	16.53	2	2	4	9	0	0	0	11	5	0	52.76%	0	0.41
3	Evgeni Malkin	38	14	23	37	-4	18	55	88	142	9.86%	3	900	23.70	4	9	13	40	2	0	2	6	1	1	48.47%	1	0.82
4	Joe Thornton	33	9	22	31	3	13	34	76	76	11.84%	9	640	19.40	4	8	12	19	0	0	0	0	2	1	54.51%	1	0.97
5	Chris Pronger	33	5	19	24	-7	33	37	44	52	9.62%	52	843	25.55	3	7	10	26	0	0	0	2	1	0	0.00%	0	0.57

Flyers Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A
1	Jaroslav Halak	24	14	8	1	0.884	2.83	1420	0	3	67	578	0	1
2	Ben Bishop	22	12	9	1	0.914	2.86	1320	6	0	63	734	0	1
3	Cory Schneider	16	6	6	3	0.903	3.46	970	4	0	56	576	0	0
4	Jaroslav Halak	9	5	2	2	0.905	2.28	552	4	0	21	222	82	0
5	Pekka Rinne	15	5	6	4	0.905	2.56	913	0	2	39	412	165	0