Canadian Hockey League

Pantheres
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Centre de jeu
	Predators 6-7-0, 12pts	6	FINAL	2	Jets 3-4-0, 6pts

Team Stats
L2	Streak	L2
3-4-0	Home Record	1-2-0
3-3-0	Away Record	2-2-0
4-5-1	Last 10 Games	3-2-2
3.23	Goals Per Game	4.14
3.54	Goals Against Per Game	3.86
19.05%	Power Play Percentage	19.51%
80.72%	Penalty Kill Percentage	82.35%

Jets
3-4-0, 6pts

FINAL

Predators
6-7-0, 12pts

Team Stats
L2	Streak	L2
1-2-0	Home Record	3-4-0
2-2-0	Away Record	3-3-0
3-2-2	Last 10 Games	4-5-1
4.14	Goals Per Game	3.23
3.86	Goals Against Per Game	3.54
19.51%	Power Play Percentage	19.05%
82.35%	Penalty Kill Percentage	80.72%

Meneurs d'équipe
	Buts Jason Zucker 7	Passes Claude Giroux 7

	Points Jason Zucker 13	Plus/Moins Vladislav Gavrikov 6

	Victoires Juuse Saros 3	Pourcentage d’arrêts Juuse Saros 0.891

Stats Équipe
Buts pour 29 4.14 GFG	Tirs pour 225 32.14 Avg	Pourcentage en avantage numérique 19.5% 8 GF	Début de zone offensive 39.1%
Buts contre 27 3.86 GAA	Tirs contre 248 35.43 Avg	Pourcentage en désavantage numérique 82.4% 6 GA	Début de la zone défensive 41.4%

Blessure/Suspension
Pas de blessure ou de suspension.

Information d’équipe
	Directeur général	Marco Lemay
	Entraîneur	Martin St. Louis
	Division	Central
	Conférence	Western
	Capitaine
	Assistant #1
	Assistant #2
Uniformes

Informations de l’aréna
	Nom	MTS Center
	Capacité	25,000
	Assistance	24,377
	Billets de saison	10,000
Information formation
	Équipe Pro	22
	Équipe Mineure	23
	Limite contact	45 / 50
	Espoirs	64
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	90,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	22
Finance
	Revenu annuel à ce jour	5,772,625$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	173,145,636$
	Compte bancaire projeté	173,145,636$
Historique d'équipe
	Saison actuelle	3-4
	Historique	805-765-148 (0.469%)
	Apparitions séries éliminatoires	11
	Historique séries éliminatoires (W-L)	60-62
	Stanley Cup	1

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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	Mikko Rantanen			X		100.00	54	56	75	91	77	90	99	89	88	96	82	74	69	80	85	50	32	80	0	29	2	12,500,000$
2	Teuvo Teravainen		X			100.00	48	45	87	89	55	83	99	74	74	83	65	74	79	84	84	40	53	73	0	31	5	5,000,000$
3	Claude Giroux	X				100.00	59	44	86	87	53	85	98	70	97	75	65	78	68	96	91	10	53	73	0	37	1	7,000,000$
4	Jason Zucker		X			100.00	62	49	74	89	57	82	93	75	75	76	74	64	57	88	85	30	53	73	0	33	1	3,000,000$
5	Anthony Mantha			X		100.00	69	77	73	78	88	78	52	67	40	59	75	87	69	84	81	40	38	70	0	31	5	3,750,000$
6	Alexander Kerfoot	X				100.00	57	44	87	82	52	80	98	59	87	57	61	85	99	84	82	40	53	69	0	31	3	3,900,000$
7	Trevor Zegras			X		100.00	61	48	82	86	54	83	82	68	72	69	67	65	99	70	77	75	53	69	0	24	4	6,000,000$
8	Michael McCarron		X			100.00	87	89	62	75	89	77	94	53	89	50	56	80	40	82	80	45	43	67	0	30	1	1,000,000$
9	Brandon Duhaime			X		100.00	87	77	66	76	70	77	99	56	40	52	59	79	40	78	78	55	57	66	0	28	1	1,800,000$
10	Steven Lorentz	X				100.00	98	59	88	75	77	72	98	55	40	51	58	74	40	80	76	50	55	66	0	29	1	2,500,000$
11	Thomas Chabot				X	100.00	57	50	84	85	65	88	98	70	40	77	64	88	40	78	83	55	53	76	0	28	1	7,000,000$
12	Shea Theodore				X	100.00	42	50	82	90	64	87	89	82	40	99	63	76	81	82	85	45	53	75	0	30	3	7,500,000$
13	Vladislav Gavrikov				X	100.00	54	56	83	78	77	88	99	61	40	65	58	88	40	82	85	45	34	74	0	30	6	4,600,000$
14	Adam Pelech				X	100.00	69	54	79	77	72	85	84	59	40	69	50	89	40	84	85	40	41	73	0	31	5	5,500,000$
15	Joel Edmundson				X	100.00	72	59	84	75	82	84	93	58	40	56	60	81	40	86	85	35	54	73	0	32	2	3,000,000$
16	Rasmus Andersson				X	100.00	50	50	75	81	64	89	98	63	40	60	67	78	90	80	85	50	53	71	0	29	2	5,000,000$
17	Nate Schmidt				X	100.00	64	53	83	79	60	77	98	56	40	54	58	73	40	90	84	25	53	69	0	34	2	1,250,000$
Rayé
1	Sean Monahan	X				100.00	53	50	83	93	64	87	80	88	88	98	79	87	79	84	86	40	22	80	0	31	1	1$
2	Yakov Trenin		X			100.00	99	56	76	76	66	76	95	53	40	49	58	71	40	78	77	55	48	65	0	28	1	1,750,000$
3	Joshua Roy			X		100.00	52	46	87	77	57	73	51	52	40	40	64	58	40	66	70	85	20	57	0	22	2	925,000$
Équipe Mineure
1	Georgii Merkulov		X			100.00	39	38	85	84	51	68	58	63	40	70	51	59	60	72	70	70	49	61	0	25	2	925,000$
2	Dylan Roobroeck (R)		X			100.00	83	60	78	76	78	81	71	44	40	36	53	67	40	64	73	90	49	59	0	21	3	925,000$
3	Nicolas Aube-Kubel			X		100.00	83	61	73	75	68	70	58	49	40	44	54	61	40	80	75	50	32	58	0	29	1	1,500,000$
4	Jaroslav Chmelar (R)		X			100.00	86	63	76	77	81	80	70	42	40	40	44	50	40	66	73	85	49	56	0	22	3	925,000$
5	Brad Lambert		X			100.00	47	43	81	75	55	70	60	49	40	58	39	50	73	66	68	85	49	55	0	22	1	925,000$
6	Justin Ertel (R)		X			100.00	64	52	76	85	59	60	50	40	40	43	37	64	40	66	63	85	44	54	0	22	3	925,000$
7	Xavier Simoneau	X				100.00	46	49	60	75	40	67	57	40	70	43	37	70	40	70	69	75	49	53	0	24	1	925,000$
8	Alexis Gendron		X			100.00	53	55	75	75	51	72	62	43	40	30	56	55	40	66	69	85	48	53	0	22	2	925,000$
9	Brett Harrison		X			100.00	55	48	86	75	60	60	50	40	40	40	41	67	73	66	63	85	41	53	0	22	2	925,000$
10	Ilya Usau	X				100.00	53	47	84	75	56	60	50	39	70	34	44	60	40	70	65	75	49	52	0	24	1	975,000$
11	Jakub Brabenec		X			100.00	55	57	86	75	56	71	61	40	40	37	42	50	80	66	69	85	38	52	0	22	2	925,000$
12	Riley Kidney	X				100.00	51	50	78	75	54	65	55	37	40	38	36	58	40	66	66	85	49	51	0	22	2	925,000$
13	Nolan Allan				X	100.00	73	49	83	76	63	75	72	53	40	53	53	70	40	66	71	85	54	65	0	22	2	750,000$
14	Kirill Kudryavtsev (R)				X	100.00	64	48	83	88	59	69	64	43	40	46	39	70	40	64	67	90	49	62	0	21	3	925,000$
15	Leo Loof				X	100.00	49	45	69	75	63	67	62	36	40	42	30	62	40	68	68	80	49	57	0	23	2	925,000$
16	Daniil Misyul (R)				X	100.00	74	60	69	81	69	62	57	32	40	31	32	50	40	72	67	70	49	56	0	25	1	575,000$
17	Dyllan Gill (R)				X	100.00	69	50	85	82	64	55	50	34	40	27	40	57	40	64	60	90	49	56	0	21	3	925,000$
18	Michael Milne		X			100.00	48	44	75	75	51	69	59	43	40	35	51	50	40	68	69	80	19	52	0	23	1	925,000$
19	Ilya Nikolaev	X				100.00	53	46	84	75	59	60	50	33	70	28	38	59	40	70	65	75	20	50	0	24	1	750,000$
20	Andrei Bakanov	X				100.00	63	54	83	75	72	60	50	25	40	20	30	56	40	68	64	80	20	47	0	23	1	975,000$

	MOYENNE D’ÉQUIPE					100.00	63	53	79	80	64	75	74	53	51	53	53	68	53	75	75	63	44	63

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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	Juuse Saros	100.00	93	99	99	80	80	83	80	81	82	80	95	82	83	45	56	82	0	30	3	8,000,000$
2	Magnus Hellberg	100.00	75	70	74	99	53	57	52	52	53	51	40	90	74	25	76	64	0	34	3	575,000$
Rayé
Équipe Mineure
1	Domenic DiVincentiis (R)	100.00	75	54	60	88	61	52	53	53	56	55	89	64	58	90	74	60	0	21	3	925,000$
2	Michael Hutchinson	100.00	75	50	60	92	50	50	50	50	50	50	40	92	71	20	74	59	0	35	3	575,000$
3	Alexei Melnichuk	100.00	75	50	60	87	50	50	50	50	50	50	99	76	63	60	26	57	0	27	1	575,000$

	MOYENNE D’ÉQUIPE	100.00	79	65	71	89	59	58	57	57	58	57	73	81	70	48	61	64

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Martin St. Louis	93	78	83	74	85	80	70	CAN	50	3	4,000,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	EG	P/20	S1	S2	S3
1	Jason Zucker	Jets	LW	7	7	6	13	4	2	10	10	17	5	20	41.18%	0	158	22.64	2	2	4	5	33	0	10	1	0	25.00%	8	0	1.64	2	1	0
2	Claude Giroux	Jets	C	7	3	7	10	-1	4	10	27	21	4	13	14.29%	3	169	24.24	0	3	3	6	32	0	17	0	0	54.05%	222	1	1.18	1	0	0
3	Vladislav Gavrikov	Jets	D	7	3	5	8	6	4	13	9	13	4	10	23.08%	9	175	25.10	2	2	4	10	32	1	25	0	0	0.00%	0	0	0.91	0	1	0
4	Alexander Kerfoot	Jets	C	7	1	6	7	5	0	2	18	19	7	15	5.26%	1	132	18.88	0	1	1	3	18	0	3	0	0	50.00%	138	0	1.06	1	0	0
5	Anthony Mantha	Jets	RW	7	4	3	7	4	6	16	11	25	6	20	16.00%	1	146	20.92	1	2	3	10	33	0	0	0	0	57.14%	7	0	0.96	0	1	0
6	Trevor Zegras	Jets	RW	7	3	3	6	-2	2	2	15	13	3	14	23.08%	1	126	18.04	0	1	1	0	5	0	0	0	0	50.00%	28	0	0.95	0	0	0
7	Mikko Rantanen	Jets	RW	7	1	4	5	-6	2	17	22	28	8	19	3.57%	0	198	28.36	1	1	2	6	35	1	32	0	0	53.70%	54	0	0.50	0	0	0
8	Adam Pelech	Jets	D	7	1	3	4	6	14	17	7	10	6	7	10.00%	11	172	24.57	1	1	2	7	32	0	22	0	1	0.00%	0	0	0.47	0	0	0
9	Teuvo Teravainen	Jets	LW	7	2	2	4	-5	0	0	11	14	7	15	14.29%	1	178	25.47	1	1	2	4	36	0	24	1	0	41.67%	12	0	0.45	0	0	1
10	Shea Theodore	Jets	D	7	0	4	4	-6	2	5	9	7	2	11	0.00%	15	193	27.70	0	1	1	6	37	0	26	0	0	0.00%	0	0	0.41	0	1	0
11	Joel Edmundson	Jets	D	7	0	3	3	-2	20	19	5	5	1	2	0.00%	14	110	15.75	0	0	0	1	0	0	0	0	0	0.00%	0	0	0.54	0	0	0
12	Michael McCarron	Jets	LW	7	2	1	3	0	10	10	3	11	3	3	18.18%	0	107	15.33	0	0	0	0	0	0	3	0	0	44.44%	9	0	0.56	0	0	0
13	Thomas Chabot	Jets	D	7	0	3	3	-4	2	18	17	11	2	9	0.00%	19	212	30.35	0	0	0	11	37	0	26	0	0	0.00%	0	0	0.28	0	0	0
14	Rasmus Andersson	Jets	D	7	0	2	2	-2	2	6	3	4	1	4	0.00%	11	118	16.89	0	0	0	0	0	0	9	0	0	0.00%	0	0	0.34	0	0	0
15	Sean Monahan	Jets	C	4	1	1	2	-1	0	3	13	17	4	7	5.88%	1	95	23.99	0	1	1	4	15	1	14	1	0	54.26%	129	0	0.42	0	0	1
16	Steven Lorentz	Jets	C	7	1	1	2	0	0	8	5	7	0	6	14.29%	0	75	10.84	0	0	0	0	0	0	4	0	1	23.38%	77	0	0.53	0	0	1
17	Nate Schmidt	Jets	D	7	0	1	1	2	2	2	0	1	0	0	0.00%	1	21	3.12	0	0	0	0	0	0	1	0	0	0.00%	0	0	0.92	0	0	0
18	Brandon Duhaime	Jets	RW	7	0	0	0	2	4	7	1	2	0	2	0.00%	0	36	5.22	0	0	0	0	0	0	0	0	0	25.00%	4	0	0.00	0	0	0
19	Yakov Trenin	Jets	LW	3	0	0	0	0	0	2	2	0	0	0	0.00%	0	13	4.43	0	0	0	0	0	0	0	0	0	0.00%	2	0	0.00	0	0	0
Statistiques d’équipe totales ou en moyenne				126	29	55	84	0	76	167	188	225	63	177	12.89%	88	2443	19.39	8	16	24	73	352	3	223	3	2	48.70%	690	1	0.69	4	4	3

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Astuces sur les filtres (anglais seulement)

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

#	Nom du 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	Juuse Saros	Jets	7	3	2	2	0.891	3.23	501	0	0	27	248	0	1	0	0.000	0	7	0	0	0	1
Statistiques d’équipe totales ou en moyenne			7	3	2	2	0.891	3.23	501	0	0	27	248	0	1	0	0.000	0	7	0	0	0	1

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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	2039	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2040	2041	2042	2043	2044	2045	Link
Adam Pelech	Jets	D	31	1994-08-16	No	210 Lbs	6 ft3	Yes	No	Yes	5	Pro Only	5,500,000$	5,500,000$	0$	No	5,500,000$	5,500,000$	5,500,000$	5,500,000$	UFA		Lien / Lien NHL
Alexander Kerfoot	Jets	C	31	1994-08-11	No	185 Lbs	5 ft11	Yes	No	Yes	3	Pro & Farm	3,900,000$	3,900,000$	0$	No	3,900,000$	3,900,000$	UFA				Lien / Lien NHL
Anthony Mantha	Jets	RW	31	1994-09-16	No	234 Lbs	6 ft5	No	No	Yes	5	Pro & Farm	3,750,000$	3,750,000$	0$	No	3,750,000$	3,750,000$	3,750,000$	3,750,000$	UFA		Lien / Lien NHL
Brandon Duhaime	Jets	RW	28	1997-05-22	No	210 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,800,000$	1,800,000$	0$	No	UFA						Lien / Lien NHL
Claude Giroux	Jets	C	37	1988-01-12	No	188 Lbs	5 ft11	No	No	Yes	1	Pro Only	7,000,000$	7,000,000$	0$	No	UFA						Lien / Lien NHL
Jason Zucker	Jets	LW	33	1992-01-16	No	195 Lbs	5 ft11	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	0$	No	UFA						Lien / Lien NHL
Joel Edmundson	Jets	D	32	1993-06-28	No	221 Lbs	6 ft5	No	No	Yes	2	Pro & Farm	3,000,000$	3,000,000$	0$	No	3,000,000$	UFA					Lien / Lien NHL
Joshua Roy	Jets	RW	22	2003-08-06	No	192 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	No	925,000$	RFA					Lien / Lien NHL
Juuse Saros	Jets	G	30	1995-04-19	No	180 Lbs	5 ft11	No	No	Yes	3	Pro Only	8,000,000$	8,000,000$	0$	No	8,000,000$	8,000,000$	UFA				Lien / Lien NHL
Magnus Hellberg	Jets	G	34	1991-04-04	No	196 Lbs	6 ft5	No	No	No	3	Pro & Farm	575,000$	575,000$	0$	No	575,000$	575,000$	UFA				Lien / Lien NHL
Michael McCarron	Jets	LW	30	1995-03-07	No	232 Lbs	6 ft6	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	0$	No	UFA						Lien / Lien NHL
Mikko Rantanen	Jets	RW	29	1996-10-29	No	215 Lbs	6 ft4	No	No	Yes	2	Pro Only	12,500,000$	12,500,000$	0$	No	12,500,000$	UFA					Lien / Lien NHL
Nate Schmidt	Jets	D	34	1991-07-16	No	197 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,250,000$	1,250,000$	0$	No	1,250,000$	UFA					Lien / Lien NHL
Rasmus Andersson	Jets	D	29	1996-10-27	No	202 Lbs	6 ft1	No	No	Yes	2	Pro Only	5,000,000$	5,000,000$	0$	No	5,000,000$	UFA					Lien / Lien NHL
Sean Monahan	Jets	C	31	1994-10-12	No	197 Lbs	6 ft2	Yes	No	Yes	1	Pro Only	1$	1$	0$	No	UFA						Lien / Lien NHL
Shea Theodore	Jets	D	30	1995-08-03	No	197 Lbs	6 ft2	No	No	Yes	3	Pro Only	7,500,000$	7,500,000$	0$	No	7,500,000$	7,500,000$	UFA				Lien / Lien NHL
Steven Lorentz	Jets	C	29	1996-04-13	No	216 Lbs	6 ft4	No	No	Yes	1	Pro & Farm	2,500,000$	2,500,000$	0$	No	UFA						Lien / Lien NHL
Teuvo Teravainen	Jets	LW	31	1994-09-11	No	191 Lbs	5 ft11	No	No	Yes	5	Pro Only	5,000,000$	5,000,000$	0$	No	5,000,000$	5,000,000$	5,000,000$	5,000,000$	UFA		Lien / Lien NHL
Thomas Chabot	Jets	D	28	1997-01-30	No	203 Lbs	6 ft1	No	No	Yes	1	Pro Only	7,000,000$	7,000,000$	0$	No	UFA						Lien / Lien NHL
Trevor Zegras	Jets	RW	24	2001-03-20	No	185 Lbs	6 ft0	No	No	Yes	4	Pro Only	6,000,000$	6,000,000$	0$	No	6,000,000$	6,000,000$	6,000,000$	RFA			Lien / Lien NHL
Vladislav Gavrikov	Jets	D	30	1995-11-21	No	220 Lbs	6 ft3	No	No	Yes	6	Pro & Farm	4,600,000$	4,600,000$	0$	No	4,600,000$	4,600,000$	4,600,000$	4,600,000$	4,600,000$	UFA	Lien / Lien NHL
Yakov Trenin	Jets	LW	28	1997-01-13	No	201 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,750,000$	1,750,000$	0$	No	UFA						Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	30.09	203 Lbs	6 ft2	2.50	4,161,364$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
91,550,001$	67,500,000$	44,825,000$	24,850,000$	18,850,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Teuvo Teravainen		Mikko Rantanen	40	1	2	2
2	Jason Zucker	Claude Giroux	Anthony Mantha	30	1	2	2
3	Michael McCarron	Alexander Kerfoot	Trevor Zegras	20	1	2	2
4		Steven Lorentz	Brandon Duhaime	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Thomas Chabot	Shea Theodore	40	1	2	2
2	Vladislav Gavrikov	Adam Pelech	30	1	2	2
3	Joel Edmundson	Rasmus Andersson	20	1	2	2
4	Nate Schmidt	Thomas Chabot	10	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Teuvo Teravainen		Mikko Rantanen	60	1	2	2
2	Jason Zucker	Claude Giroux	Anthony Mantha	40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Thomas Chabot	Shea Theodore	60	1	2	2
2	Vladislav Gavrikov	Adam Pelech	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Mikko Rantanen	60	1	2	2
2	Claude Giroux	Teuvo Teravainen	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Thomas Chabot	Shea Theodore	60	1	2	2
2	Vladislav Gavrikov	Adam Pelech	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1		60	1	2	2	Thomas Chabot	Shea Theodore	60	1	2	2
2	Mikko Rantanen	40	1	2	2	Vladislav Gavrikov	Adam Pelech	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Mikko Rantanen	60	1	2	2
2	Claude Giroux	Teuvo Teravainen	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Thomas Chabot	Shea Theodore	60	1	2	2
2	Vladislav Gavrikov	Adam Pelech	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Teuvo Teravainen		Mikko Rantanen	Thomas Chabot	Shea Theodore

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Teuvo Teravainen		Mikko Rantanen	Thomas Chabot	Shea Theodore

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Trevor Zegras, Alexander Kerfoot, Michael McCarron	Trevor Zegras, Alexander Kerfoot	Michael McCarron

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Joel Edmundson, Rasmus Andersson, Nate Schmidt	Joel Edmundson	Rasmus Andersson, Nate Schmidt

Tirs de pénalité
, Mikko Rantanen, Claude Giroux, Teuvo Teravainen, Jason Zucker

Gardien
#1 : Juuse Saros, #2 : Magnus Hellberg

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	Predators	7	3	4	0	0	0	0	0	29	27	2	3	1	2	0	0	0	0	0	11	14	-3	4	2	2	0	0	0	0	0	18	13	5	6	0.429	29	55	84	0	0	6	13	10	0	225	72	60	55	38	248	88	76	167	41	8	19.51%	34	6	82.35%	0	118	270	43.70%	150	286	52.45%	68	134	50.75%	205	144	192	62	105	52
	Total	7	3	4	0	0	0	0	0	29	27	2	3	1	2	0	0	0	0	0	11	14	-3	4	2	2	0	0	0	0	0	18	13	5	6	0.429	29	55	84	0	0	6	13	10	0	225	72	60	55	38	248	88	76	167	41	8	19.51%	34	6	82.35%	0	118	270	43.70%	150	286	52.45%	68	134	50.75%	205	144	192	62	105	52
	_Since Last GM Reset	7	3	4	0	0	0	0	0	29	27	2	3	1	2	0	0	0	0	0	11	14	-3	4	2	2	0	0	0	0	0	18	13	5	6	0.429	29	55	84	0	0	6	13	10	0	225	72	60	55	38	248	88	76	167	41	8	19.51%	34	6	82.35%	0	118	270	43.70%	150	286	52.45%	68	134	50.75%	205	144	192	62	105	52
	_Vs Conference	7	3	4	0	0	0	0	0	29	27	2	3	1	2	0	0	0	0	0	11	14	-3	4	2	2	0	0	0	0	0	18	13	5	6	0.429	29	55	84	0	0	6	13	10	0	225	72	60	55	38	248	88	76	167	41	8	19.51%	34	6	82.35%	0	118	270	43.70%	150	286	52.45%	68	134	50.75%	205	144	192	62	105	52
	_Vs Division	7	3	4	0	0	0	0	0	29	27	2	3	1	2	0	0	0	0	0	11	14	-3	4	2	2	0	0	0	0	0	18	13	5	6	0.429	29	55	84	0	0	6	13	10	0	225	72	60	55	38	248	88	76	167	41	8	19.51%	34	6	82.35%	0	118	270	43.70%	150	286	52.45%	68	134	50.75%	205	144	192	62	105	52

			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
7	6	L2	29	55	84	225	248	88	76	167	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	29	27

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	11	14

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	18	13

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
3	2	0	2	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
41	8	19.51%	34	6	82.35%	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
72	60	55	38	6	13	10	0

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
118	270	43.70%	150	286	52.45%	68	134	50.75%

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
205	144	192	62	105	52

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	Lien
2	5	Jets	3	Predators	4	AL	X	Sommaire du match
4	13	Jets	4	Predators	2	AW		Sommaire du match
6	21	Predators	6	Jets	5	BL	X	Sommaire du match
8	29	Predators	2	Jets	4	BW		Sommaire du match
10	37	Jets	7	Predators	2	AW		Sommaire du match
12	45	Predators	6	Jets	2	BL		Sommaire du match
14	53	Jets	4	Predators	5	AL		Sommaire du match

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Teuvo Teravainen

AGE:31
SK:		89
EN:		83
DU:		99
PH:		74
PA:		83
SC:		65
DF:		74
Jason Zucker

AGE:33
SK:		89
EN:		82
DU:		93
PH:		75
PA:		76
SC:		74
DF:		64
Michael McCarron

AGE:30
SK:		75
EN:		77
DU:		94
PH:		53
PA:		50
SC:		56
DF:		80
Yakov Trenin

AGE:28
SK:		76
EN:		76
DU:		95
PH:		53
PA:		49
SC:		58
DF:		71
Georgii Merkulov

AGE:25
SK:		84
EN:		68
DU:		58
PH:		63
PA:		70
SC:		51
DF:		59
Dylan Roobroeck (R)

AGE:21
SK:		76
EN:		81
DU:		71
PH:		44
PA:		36
SC:		53
DF:		67
Jaroslav Chmelar (R)

AGE:22
SK:		77
EN:		80
DU:		70
PH:		42
PA:		40
SC:		44
DF:		50
Brad Lambert

AGE:22
SK:		75
EN:		70
DU:		60
PH:		49
PA:		58
SC:		39
DF:		50
Justin Ertel (R)

AGE:22
SK:		85
EN:		60
DU:		50
PH:		40
PA:		43
SC:		37
DF:		64
Alexis Gendron

AGE:22
SK:		75
EN:		72
DU:		62
PH:		43
PA:		30
SC:		56
DF:		55
Brett Harrison

AGE:22
SK:		75
EN:		60
DU:		50
PH:		40
PA:		40
SC:		41
DF:		67
Jakub Brabenec

AGE:22
SK:		75
EN:		71
DU:		61
PH:		40
PA:		37
SC:		42
DF:		50
Michael Milne

AGE:23
SK:		75
EN:		69
DU:		59
PH:		43
PA:		35
SC:		51
DF:		50

Sean Monahan

AGE:31
SK:		93
EN:		87
DU:		80
PH:		88
PA:		98
SC:		79
DF:		87
Claude Giroux

AGE:37
SK:		87
EN:		85
DU:		98
PH:		70
PA:		75
SC:		65
DF:		78
Alexander Kerfoot

AGE:31
SK:		82
EN:		80
DU:		98
PH:		59
PA:		57
SC:		61
DF:		85
Steven Lorentz

AGE:29
SK:		75
EN:		72
DU:		98
PH:		55
PA:		51
SC:		58
DF:		74
Xavier Simoneau

AGE:24
SK:		75
EN:		67
DU:		57
PH:		40
PA:		43
SC:		37
DF:		70
Ilya Usau

AGE:24
SK:		75
EN:		60
DU:		50
PH:		39
PA:		34
SC:		44
DF:		60
Riley Kidney

AGE:22
SK:		75
EN:		65
DU:		55
PH:		37
PA:		38
SC:		36
DF:		58
Ilya Nikolaev

AGE:24
SK:		75
EN:		60
DU:		50
PH:		33
PA:		28
SC:		38
DF:		59
Andrei Bakanov

AGE:23
SK:		75
EN:		60
DU:		50
PH:		25
PA:		20
SC:		30
DF:		56

Mikko Rantanen

AGE:29
SK:		91
EN:		90
DU:		99
PH:		89
PA:		96
SC:		82
DF:		74
Anthony Mantha

AGE:31
SK:		78
EN:		78
DU:		52
PH:		67
PA:		59
SC:		75
DF:		87
Trevor Zegras

AGE:24
SK:		86
EN:		83
DU:		82
PH:		68
PA:		69
SC:		67
DF:		65
Brandon Duhaime

AGE:28
SK:		76
EN:		77
DU:		99
PH:		56
PA:		52
SC:		59
DF:		79
Nicolas Aube-Kubel

AGE:29
SK:		75
EN:		70
DU:		58
PH:		49
PA:		44
SC:		54
DF:		61
Joshua Roy

AGE:22
SK:		77
EN:		73
DU:		51
PH:		52
PA:		40
SC:		64
DF:		58

Défense #1

Défense #2

Gardien

Thomas Chabot

AGE:28
SK:		85
EN:		88
DU:		98
PH:		70
PA:		77
SC:		64
DF:		88
Shea Theodore

AGE:30
SK:		90
EN:		87
DU:		89
PH:		82
PA:		99
SC:		63
DF:		76
Vladislav Gavrikov

AGE:30
SK:		78
EN:		88
DU:		99
PH:		61
PA:		65
SC:		58
DF:		88
Adam Pelech

AGE:31
SK:		77
EN:		85
DU:		84
PH:		59
PA:		69
SC:		50
DF:		89
Joel Edmundson

AGE:32
SK:		75
EN:		84
DU:		93
PH:		58
PA:		56
SC:		60
DF:		81
Rasmus Andersson

AGE:29
SK:		81
EN:		89
DU:		98
PH:		63
PA:		60
SC:		67
DF:		78

Nate Schmidt

AGE:34
SK:		79
EN:		77
DU:		98
PH:		56
PA:		54
SC:		58
DF:		73
Nolan Allan

AGE:22
SK:		76
EN:		75
DU:		72
PH:		53
PA:		53
SC:		53
DF:		70
Kirill Kudryavtsev (R)

AGE:21
SK:		88
EN:		69
DU:		64
PH:		43
PA:		46
SC:		39
DF:		70
Leo Loof

AGE:23
SK:		75
EN:		67
DU:		62
PH:		36
PA:		42
SC:		30
DF:		62
Dyllan Gill (R)

AGE:21
SK:		82
EN:		55
DU:		50
PH:		34
PA:		27
SC:		40
DF:		57
Daniil Misyul (R)

AGE:25
SK:		81
EN:		62
DU:		57
PH:		32
PA:		31
SC:		32
DF:		50

Juuse Saros

AGE:30
SK:		93
AG:		80
RB:		83
SC:		80
HS:		81
RT:		82
DF:		80
Magnus Hellberg

AGE:34
SK:		75
AG:		53
RB:		57
SC:		52
HS:		52
RT:		53
DF:		51
Domenic DiVincentiis (R)

AGE:21
SK:		75
AG:		61
RB:		52
SC:		53
HS:		53
RT:		56
DF:		55
Michael Hutchinson

AGE:35
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Alexei Melnichuk

AGE:27
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
Aarne Talvitie	Jets	2031	163
Abram Wiebe	Jets	2037	189
Alexander Green	Jets	2032	152
Alexander Siryatsky	Jets	2038	142
Alexandr Darin	Jets	2033	143
Arno Tiefensee	Jets	2037	179
Ben Merrill	Jets	2038	119
Brandon Lisowsky	Jets	2037	176
Brennan Ali	Jets	2037	210
Brodie Ziemer	Jets	2038	85
Brody Lamb	Jets	2035	129
Bulat Shafigullin	Jets	2032	62
Cade Littler	Jets	2037	215
Cole Brady	Jets	2033	159
Colton Roberts	Jets	2038	150
D'Artagnan Joly	Jets	2031	154
Daniil Karpovich	Jets	2037	172
Dennis Busby	Jets	2032	182
Eric Pohlkamp	Jets	2037	153
Etienne Morin	Jets	2037	31
Filip Eriksson	Jets	2037	111
Filip Sveningsson	Jets	2031	193
Guillaume Richard	Jets	2035	83
Hiroki Gojsic	Jets	2038	99
Ilya Pautov	Jets	2038	187
Ivan Yunin	Jets	2038	156
Jack Hughess	Jets	2036	39
Jake Fisher	Jets	2038	140
Jayden Perron	Jets	2037	43
Jiri Felcman	Jets	2037	117
Joaquim Lemay	Jets	2035	98
Kaden Pitre	Jets	2038	194
Kalem Parker	Jets	2037	208
Loke Johansson	Jets	2038	202
Lucas Van Vliet	Jets	2038	213
Luke Ashton	Jets	2038	182
Makar Khanin	Jets	2038	120
Markus Loponen	Jets	2038	171
Mattias Havelid	Jets	2036	62
Michael Emerson	Jets	2037	157
Miguel Marques	Jets	2038	59
Nicholas Kempf	Jets	2038	131
Nikolai Makarov	Jets	2035	159
Noah Dower Nilsson	Jets	2037	97
Noah Steen	Jets	2038	214
Noel Fransen	Jets	2038	69
Owen Lindmark	Jets	2033	173
Owen Protz	Jets	2038	90
Parker Alcos	Jets	2038	206
Pasquale Zito	Jets	2035	193
Prokhor Poltapov	Jets	2035	36
Rasmus Larsson	Jets	2037	177
Ryan Walsh	Jets	2037	173
Sam Harris	Jets	2037	121
Scott Ratzlaff	Jets	2037	154
Stanislav Demin	Jets	2032	89
Stiven Sardarian	Jets	2035	110
Tomas Lavoie	Jets	2038	65
Trent Swick	Jets	2038	193
Viggo Gustafsson	Jets	2038	74
Viljami Marjala	Jets	2035	190
Vladislav Firstov	Jets	2033	59
William Nicholl	Jets	2038	212
William Whitelaw	Jets	2037	52

Choix au repêchage

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

Jets 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	Logan Couture	886	457	546	1003	81	280	504	2775	3854	11.86%	363	20459	23.09	128	223	351	911	7	7	14	114	69	32	52.47%	13	0.98	17	91
2	Jordan Staal	983	358	484	842	42	983	2014	2426	3219	11.12%	389	21509	21.88	105	178	283	733	7	10	17	95	59	18	55.99%	12	0.78	16	87
3	Evander Kane	942	320	380	700	31	1200	2854	1381	3032	10.55%	191	19042	20.21	91	147	238	725	1	0	1	24	47	21	41.85%	4	0.74	12	70
4	Adam Foote	1547	270	418	688	76	1421	1846	2055	2655	10.17%	879	25474	16.47	44	73	117	272	15	20	35	84	43	22	52.04%	2	0.54	14	45
5	Nick Foligno	916	268	333	601	66	1096	2359	1267	2599	10.31%	160	16137	17.62	83	121	204	699	1	2	3	29	28	18	49.23%	6	0.74	4	22

Jets 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	SAR	A	EG	PS %	PSA
1	Frederik Andersen	404	203	156	32	0.899	3.07	23180	50	14	1186	11758	0	24	4	0.707	150
2	James Reimer	382	197	142	37	0.903	2.91	22510	79	9	1091	11246	1610	20	7	0.781	137
3	Antti Niemi	224	102	91	16	0.889	3.43	12528	18	6	717	6432	0	5	4	0.750	60
4	Juuse Saros	157	73	70	10	0.892	3.41	9020	16	4	512	4726	0	2	3	0.762	63
5	Cristobal Huet	87	46	28	8	0.914	2.62	4985	23	3	218	2539	1064	4	0	0.762	42

Jets 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	35	28	0	4	2	7	6	248	224	24	41	18	15	0	2	0	2	4	121	115	6	41	17	13	0	2	2	5	2	127	109	18	80	248	398	646	0	2	0	70	76	91	2477	0	769	838	836	2539	848	1383	1755	231	40	17.32%	313	36	88.50%	14	1042	1973	52.81%	1008	1977	50.99%	726	1400	51.86%	1705	925	1930	846	1530	766
2018	82	27	38	0	1	6	4	6	219	252	-33	41	16	16	0	0	4	4	1	117	119	-2	41	11	22	0	1	2	0	5	102	133	-31	62	219	367	586	1	0	0	46	102	66	2465	0	763	896	775	2599	867	1168	1864	197	39	19.80%	271	43	84.13%	6	985	1958	50.31%	1053	2027	51.95%	663	1322	50.15%	1731	962	1724	760	1526	764
2019	82	24	34	0	6	6	8	4	223	240	-17	41	10	21	0	0	4	5	1	119	133	-14	41	14	13	0	6	2	3	3	104	107	-3	66	223	342	565	4	1	0	45	77	87	2422	0	613	900	873	2481	760	814	1860	225	44	19.56%	221	47	78.73%	4	941	1945	48.38%	1006	2023	49.73%	607	1170	51.88%	1641	858	1766	792	1598	796
2020	82	31	31	0	3	2	6	9	246	241	5	41	18	14	0	1	0	3	5	127	115	12	41	13	17	0	2	2	3	4	119	126	-7	70	246	396	642	2	1	0	66	84	87	2579	0	739	902	912	2548	786	855	1855	222	39	17.57%	238	43	81.93%	2	1023	2024	50.54%	1016	2011	50.52%	614	1183	51.90%	1679	905	1761	782	1565	770
2021	82	40	30	0	3	1	3	5	298	259	39	41	18	16	0	2	1	2	2	142	132	10	41	22	14	0	1	0	1	3	156	127	29	87	298	509	807	1	2	0	136	70	86	2998	0	979	933	1061	2465	806	1140	1853	410	81	19.76%	475	77	83.79%	3	1835	3411	53.80%	1589	2977	53.38%	734	1391	52.77%	1957	1337	1966	627	1038	511
2022	82	45	31	0	2	1	3	0	270	237	33	41	23	15	0	2	0	1	0	136	117	19	41	22	16	0	0	1	2	0	134	120	14	95	270	473	743	1	2	0	90	89	86	2629	0	876	834	904	2351	694	1017	1785	434	73	16.82%	407	60	85.26%	4	1655	3124	52.98%	1522	2887	52.72%	667	1293	51.59%	2010	1380	1895	621	1037	521
2023	82	36	28	0	2	7	4	5	264	253	11	41	21	14	0	1	4	0	1	129	114	15	41	15	14	0	1	3	4	4	135	139	-4	83	264	470	734	1	3	0	103	72	83	2584	0	836	785	929	2570	722	1008	1827	416	91	21.88%	415	81	80.48%	0	1587	3036	52.27%	1550	3052	50.79%	652	1269	51.38%	1985	1369	1968	613	1030	513
2024	82	40	29	0	4	2	4	3	285	255	30	41	24	14	0	0	1	1	1	144	119	25	41	16	15	0	4	1	3	2	141	136	5	101	285	499	784	1	3	0	112	78	87	2622	0	859	868	872	2432	756	1009	1801	469	114	24.31%	413	85	79.42%	1	1648	3119	52.84%	1443	2919	49.43%	631	1301	48.50%	2093	1468	1863	591	1009	519
2025	82	37	33	0	0	3	6	3	281	278	3	41	16	17	0	0	2	4	2	135	145	-10	41	21	16	0	0	1	2	1	146	133	13	92	281	490	771	1	3	0	105	86	84	2634	0	854	906	845	2453	778	1075	1848	417	91	21.82%	430	95	77.91%	6	1603	3013	53.20%	1531	2944	52.00%	703	1371	51.28%	1997	1370	1924	617	1048	531
2026	82	26	45	0	3	4	2	2	257	312	-55	41	15	21	0	2	1	1	1	137	146	-9	41	11	24	0	1	3	1	1	120	166	-46	68	257	471	728	2	2	0	102	77	73	2469	0	866	782	802	2749	738	1112	1791	453	90	19.87%	465	103	77.85%	2	1625	2991	54.33%	1592	3164	50.32%	672	1340	50.15%	1959	1330	1947	625	1044	518
2027	82	44	25	0	3	2	2	6	287	223	64	41	25	12	0	1	1	0	2	146	102	44	41	19	13	0	2	1	2	4	141	121	20	106	287	516	803	0	5	0	88	94	100	2588	0	868	785	907	2321	751	1021	1815	454	110	24.23%	442	75	83.03%	5	1686	3060	55.10%	1423	2831	50.26%	680	1308	51.99%	2022	1387	1916	615	1030	521
2030	82	36	34	0	2	2	4	4	262	251	11	41	22	13	0	1	1	2	2	136	120	16	41	14	21	0	1	1	2	2	126	131	-5	90	262	467	729	0	2	0	105	71	80	2481	0	857	817	784	2443	689	1024	1820	406	96	23.65%	450	90	80.00%	1	1551	2916	53.19%	1476	2938	50.24%	660	1277	51.68%	1947	1323	1974	632	1045	516
2031	82	38	29	0	4	1	2	8	274	257	17	41	21	11	0	4	0	1	4	148	121	27	41	17	18	0	0	1	1	4	126	136	-10	97	274	479	753	0	3	0	96	97	75	2682	0	938	884	823	2448	689	919	1862	434	92	21.20%	403	82	79.65%	2	1645	3123	52.67%	1575	2982	52.82%	694	1319	52.62%	1994	1363	1929	627	1062	530
2032	82	36	28	0	5	1	7	5	262	234	28	41	20	10	0	3	1	4	3	141	115	26	41	16	18	0	2	0	3	2	121	119	2	102	262	461	723	2	4	0	82	90	78	2738	0	907	867	935	2494	724	896	1915	434	75	17.28%	400	76	81.00%	3	1640	3129	52.41%	1535	3014	50.93%	625	1272	49.14%	2007	1378	1925	630	1054	527
2033	82	37	27	0	1	6	1	10	288	281	7	41	20	13	0	0	2	1	5	140	131	9	41	17	14	0	1	4	0	5	148	150	-2	94	288	510	798	1	5	0	114	86	86	2792	0	962	928	865	2648	767	906	1796	419	88	21.00%	362	78	78.45%	4	1472	3088	47.67%	1445	3077	46.96%	634	1336	47.46%	1965	1351	1994	615	1036	518
2034	82	19	50	0	4	3	2	4	246	325	-79	41	12	23	0	2	1	2	1	130	166	-36	41	7	27	0	2	2	0	3	116	159	-43	57	246	426	672	2	3	0	88	80	72	2487	0	851	839	774	2807	849	964	1811	359	64	17.83%	415	89	78.55%	7	1491	2842	52.46%	1497	3077	48.65%	708	1348	52.52%	1885	1282	2044	615	1034	503
2035	82	18	54	0	1	1	4	4	221	330	-109	41	11	25	0	1	1	1	2	121	169	-48	41	7	29	0	0	0	3	2	100	161	-61	51	221	384	605	2	0	0	75	70	71	2240	0	737	755	723	2804	866	717	1722	382	66	17.28%	328	60	81.71%	1	1240	2681	46.25%	1358	3022	44.94%	638	1410	45.25%	1797	1193	2107	630	1057	511
2036	82	19	57	0	2	3	1	0	199	336	-137	41	7	30	0	2	2	0	0	90	169	-79	41	12	27	0	0	1	1	0	109	167	-58	47	199	354	553	1	1	0	75	57	64	2106	0	723	645	731	3188	908	960	1770	371	65	17.52%	415	94	77.35%	1	1343	2595	51.75%	1649	3377	48.83%	656	1345	48.77%	1708	1127	2198	630	1032	485
2037	82	22	54	0	2	2	0	2	228	347	-119	41	10	27	0	2	1	0	1	112	168	-56	41	12	27	0	0	1	0	1	116	179	-63	52	228	404	632	3	1	70	87	69	2	2460	793	832	821	20	3000	852	996	1820	378	58	15.34%	406	101	75.12%	2	1338	2828	47.31%	1459	3189	45.75%	632	1378	45.86%	1742	1163	2169	634	1024	482
2038	82	28	44	0	0	4	3	3	279	338	-59	41	14	22	0	0	1	1	3	147	158	-11	41	14	22	0	0	3	2	0	132	180	-48	69	279	488	767	1	1	93	95	88	9	2630	863	875	871	54	2907	835	1004	1814	375	70	18.67%	447	107	76.06%	1	1448	2871	50.44%	1571	3081	50.99%	741	1404	52.78%	1824	1233	2096	626	1037	497
2039	82	32	36	0	5	2	5	2	249	254	-5	41	15	19	0	2	1	4	0	131	125	6	41	17	17	0	3	1	1	2	118	129	-11	88	249	434	683	2	3	85	88	66	13	2386	775	829	763	48	2402	655	934	1689	410	66	16.10%	382	81	78.80%	2	1591	2882	55.20%	1474	2774	53.14%	678	1293	52.44%	2121	1493	1821	589	1025	532
Total Saison régulière	1722	670	765	0	57	61	78	91	5386	5727	-341	861	356	368	0	28	29	39	41	2749	2799	-50	861	314	397	0	29	32	39	50	2637	2928	-291	1657	5386	9338	14724	28	47	248	1868	1679	1480	53469	2431	17533	17619	15473	54649	16340	20922	38073	7896	1552	19.66%	8098	1603	80.20%	71	30389	58609	51.85%	29772	59343	50.17%	14015	27730	50.54%	39780	26208	40929	13725	23870	11842
Séries éliminatoires
2017	7	3	4	0	0	0	0	0	19	26	-7	4	3	1	0	0	0	0	0	14	11	3	3	0	3	0	0	0	0	0	5	15	-10	6	19	32	51	0	0	0	6	4	7	218	0	71	66	72	235	75	114	164	19	6	31.58%	33	7	78.79%	0	94	187	50.27%	95	188	50.53%	54	112	48.21%	143	75	2088	916	131	64
2020	22	15	7	0	0	0	0	0	74	58	16	9	6	3	0	0	0	0	0	28	20	8	13	9	4	0	0	0	0	0	46	38	8	30	74	121	195	1	1	0	18	20	32	595	0	165	198	197	676	228	343	483	46	12	26.09%	68	8	88.24%	7	235	475	49.47%	277	580	47.76%	156	330	47.27%	431	215	498	224	455	222
2021	7	3	4	0	0	0	0	0	24	26	-2	4	1	3	0	0	0	0	0	15	17	-2	3	2	1	0	0	0	0	0	9	9	0	6	24	38	62	0	0	0	9	10	3	210	0	57	67	81	211	78	78	188	32	4	12.50%	38	12	68.42%	0	112	256	43.75%	126	257	49.03%	53	120	44.17%	154	100	186	55	90	44
2022	5	1	4	0	0	0	0	0	7	16	-9	2	0	2	0	0	0	0	0	2	8	-6	3	1	2	0	0	0	0	0	5	8	-3	2	7	12	19	0	0	0	4	0	2	154	0	59	57	37	142	42	52	93	23	0	0.00%	26	4	84.62%	1	85	198	42.93%	84	168	50.00%	34	66	51.52%	114	76	124	37	61	30
2023	11	7	4	0	0	0	0	0	43	31	12	5	4	1	0	0	0	0	0	20	10	10	6	3	3	0	0	0	0	0	23	21	2	14	43	78	121	0	1	0	16	12	13	372	0	111	112	117	336	113	146	289	64	16	25.00%	50	13	74.00%	1	224	444	50.45%	213	426	50.00%	90	189	47.62%	285	196	284	89	154	76
2024	26	16	10	0	0	0	0	0	87	85	2	13	5	8	0	0	0	0	0	41	54	-13	13	11	2	0	0	0	0	0	46	31	15	32	87	156	243	0	2	0	33	29	23	842	0	300	234	276	825	221	336	599	142	29	20.42%	123	21	82.93%	3	471	1011	46.59%	487	966	50.41%	206	441	46.71%	660	453	637	202	340	173
2025	4	0	4	0	0	0	0	0	11	15	-4	2	0	2	0	0	0	0	0	5	7	-2	2	0	2	0	0	0	0	0	6	8	-2	0	11	20	31	0	0	0	7	1	3	130	0	50	26	50	111	32	59	73	22	4	18.18%	25	5	80.00%	0	81	144	56.25%	81	147	55.10%	32	68	47.06%	91	62	101	31	51	24
2027	12	5	7	0	0	0	0	0	37	49	-12	6	3	3	0	0	0	0	0	19	26	-7	6	2	4	0	0	0	0	0	18	23	-5	10	37	64	101	0	0	0	13	12	9	337	0	124	100	80	469	121	192	289	61	11	18.03%	91	19	79.12%	0	201	441	45.58%	282	550	51.27%	118	233	50.64%	282	183	338	99	164	80
2031	6	2	4	0	0	0	0	0	20	21	-1	3	0	3	0	0	0	0	0	6	11	-5	3	2	1	0	0	0	0	0	14	10	4	4	20	34	54	0	1	0	5	7	8	187	0	55	66	54	222	64	102	146	28	5	17.86%	42	10	76.19%	0	116	221	52.49%	133	257	51.75%	44	115	38.26%	145	97	164	50	83	40
2032	10	4	6	0	0	0	0	0	33	38	-5	5	2	3	0	0	0	0	0	18	19	-1	5	2	3	0	0	0	0	0	15	19	-4	8	33	58	91	0	0	0	12	7	13	287	0	112	92	82	259	81	133	259	44	10	22.73%	64	10	84.38%	1	161	339	47.49%	152	314	48.41%	82	161	50.93%	221	145	250	76	128	62
2033	5	1	4	0	0	0	0	0	15	24	-9	2	0	2	0	0	0	0	0	7	10	-3	3	1	2	0	0	0	0	0	8	14	-6	2	15	29	44	0	0	0	6	5	4	161	0	47	58	43	188	38	54	109	28	3	10.71%	26	6	76.92%	0	97	191	50.79%	100	204	49.02%	44	89	49.44%	120	81	135	43	69	34
2039	7	3	4	0	0	0	0	0	29	27	2	3	1	2	0	0	0	0	0	11	14	-3	4	2	2	0	0	0	0	0	18	13	5	6	29	55	84	0	0	6	13	10	0	225	72	60	55	38	248	88	76	167	41	8	19.51%	34	6	82.35%	0	118	270	43.70%	150	286	52.45%	68	134	50.75%	205	144	192	62	105	52
Total Séries éliminatoires	122	60	62	0	0	0	0	0	399	416	-17	58	25	33	0	0	0	0	0	186	207	-21	64	35	29	0	0	0	0	0	213	209	4	120	399	697	1096	1	5	6	142	117	117	3718	72	1211	1131	1127	3922	1181	1685	2859	550	108	19.64%	620	121	80.48%	13	1995	4177	47.76%	2180	4343	50.20%	981	2058	47.67%	2855	1833	5003	1890	1836	905

Jets 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	Logan Couture	103	58	56	114	5	48	68	337	469	12.37%	44	2569	24.95	17	21	38	116	1	1	2	17	10	4	50.20%	1	0.89
2	Jordan Staal	103	32	43	75	-2	112	284	189	288	11.11%	33	2325	22.58	9	16	25	61	2	2	4	4	6	2	51.31%	0	0.64
3	Evander Kane	102	34	41	75	2	165	315	133	253	13.44%	21	2051	20.12	9	11	20	66	0	1	1	0	4	2	33.74%	0	0.73
4	Joshua Bailey	98	24	36	60	22	27	40	139	197	12.18%	16	1576	16.09	1	5	6	11	3	5	8	12	4	1	41.04%	0	0.76
5	Alex Steen	126	19	32	51	-28	114	164	160	218	8.72%	75	2092	16.61	6	10	16	18	0	0	0	6	3	2	49.90%	0	0.49

Jets 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	EG
1	James Reimer	59	34	18	5	0.905	2.76	3527	17	3	162	1709	241	0	1
2	Antti Niemi	31	12	9	3	0.893	3.37	1621	6	1	91	849	0	0	0
3	Frederik Andersen	21	7	11	2	0.871	4.00	1141	0	1	76	587	0	1	0
4	Cristobal Huet	8	3	4	0	0.889	3.61	432	0	0	26	235	90	0	0
5	Juuse Saros	7	3	2	2	0.891	3.23	501	0	0	27	248	0	1	0