PIFFPACK - Jets

Moose
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Points
Informations Joueurs
Lignes
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Historique
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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
1	Aleksander Barkov	X				95.00	60	41	95	92	89	97	94	91	84	87	79	75	76	63	59	90	25	87	0
2	Gabriel Landeskog		X	X		96.00	76	43	87	84	78	93	93	84	81	77	78	72	75	70	80	86	53	85	0
3	Michael Cammalleri		X			100.00	64	41	80	79	60	82	88	75	74	64	59	61	64	86	72	35	55	76	0
4	Pierre-Luc Dubois	X	X			99.00	73	43	81	82	80	85	98	75	74	67	71	65	70	53	52	91	52	76	0
5	Andrew Cogliano		X			100.00	67	43	80	81	60	83	96	68	72	62	63	84	66	84	67	63	52	75	0
6	Dominic Moore	X				100.00	64	41	81	79	69	76	77	80	84	50	57	85	70	86	68	26	52	75	0
7	Kyle Brodziak	X		X		100.00	66	43	77	72	78	80	96	70	82	63	60	86	69	83	67	26	52	75	0
8	Travis Zajac	X				100.00	68	42	84	82	71	88	80	71	81	56	64	82	71	83	71	49	52	75	0
9	Jason Pominville			X		100.00	61	41	88	80	65	82	98	71	75	58	66	69	69	89	82	34	52	74	0
10	Jesper Bratt		X	X		100.00	63	42	85	83	60	84	96	74	71	63	66	63	69	53	52	50	52	73	0
11	Tomas Hertl	X	X			100.00	68	43	79	84	81	89	94	74	81	63	73	70	71	63	57	80	52	73	0
12	Devin Shore	X	X	X		100.00	63	41	86	76	73	84	98	77	76	61	61	78	68	56	53	66	50	71	0
13	Rasmus Ristolainen				X	98.00	90	44	89	78	85	99	89	79	30	75	60	82	67	63	66	85	52	79	0
14	Alex Goligoski				X	100.00	74	42	89	78	65	93	93	78	30	62	63	79	71	78	66	40	52	76	0
15	Matt Dumba				X	98.00	75	43	84	81	66	93	98	79	30	75	65	79	70	62	60	85	52	76	0
16	Nikita Zadorov				X	100.00	94	47	68	69	91	83	92	75	30	55	58	83	69	58	61	83	52	75	0
17	Jonathan Ericsson				X	100.00	75	43	80	69	86	83	96	67	30	66	70	77	66	74	64	26	52	74	0
18	Gustav Forsling				X	100.00	59	41	84	84	67	78	88	80	30	60	56	79	65	53	54	59	52	72	0
Rayé
1	Derek Ryan	X		X		100.00	63	42	84	83	60	85	95	69	87	62	66	78	70	56	53	27	44	71	0
2	Mark Pysyk				X	100.00	71	42	84	69	73	83	95	69	30	53	53	84	66	61	58	77	19	72	0

	MOYENNE D'ÉQUIPE					99.30	70	42	83	79	73	86	93	75	62	64	64	77	69	69	63	59	49	76

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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
1	Cam Talbot	95.00	88	97	97	84	83	82	81	82	82	86	85	68	78	34	52	81	0
2	Craig Anderson	100.00	83	95	95	77	79	79	78	77	79	81	81	92	88	29	52	79	0
Rayé
1	Tristan Jarry	100.00	78	84	84	80	83	84	82	85	83	76	75	52	65	73	20	77	0

	MOYENNE D'ÉQUIPE	98.33	83	92	92	80	82	82	80	81	81	81	80	71	77	45	41	79

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Todd Richards	34	56	54	58	80	45	68	USA	51	2	1,000,000$

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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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	P/20	PSG	PSS	FW	FT	S1	S2	S3
1	Gabriel Landeskog	Jets	LW/RW	34	15	18	33	-12	23	5	50	47	164	48	99	9.15%	17	797	23.47	5	10	15	38	131	0	1	1	4	112	1	2	47.13%	157	41	16	0	0.83	2	6	0	1	2	1	0
2	Michael Cammalleri	Jets	LW	34	8	18	26	4	19	5	37	31	112	30	63	7.14%	9	633	18.62	3	5	8	12	102	1	0	1	5	88	0	1	66.67%	33	21	11	1	0.82	3	6	1	0	1	1	5
3	Pierre-Luc Dubois	Jets	C/LW	34	9	15	24	-7	22	0	47	37	107	27	63	8.41%	19	689	20.27	3	8	11	20	117	0	0	0	4	48	2	0	45.43%	656	19	13	0	0.70	1	4	0	0	1	1	1
4	Jason Pominville	Jets	RW	34	9	14	23	3	10	0	24	24	94	34	41	9.57%	10	534	15.71	4	6	10	18	102	0	0	0	0	0	0	0	31.25%	32	22	7	0	0.86	0	1	0	0	0	2	1
5	Rasmus Ristolainen	Jets	D	34	3	15	18	2	10	0	46	65	60	22	22	5.00%	58	976	28.71	3	2	5	14	143	0	0	0	0	119	1	0	0.00%	0	23	31	0	0.37	0	0	0	0	1	0	0
6	Travis Zajac	Jets	C	34	12	6	18	1	10	0	37	52	82	23	34	14.63%	16	535	15.75	3	2	5	9	62	0	0	0	2	44	0	0	51.50%	400	10	13	0	0.67	2	2	0	0	1	0	3
7	Aleksander Barkov	Jets	C	16	8	9	17	-5	2	0	18	39	92	16	45	8.70%	9	393	24.61	4	3	7	12	52	0	0	0	2	54	2	0	52.04%	613	18	11	0	0.86	0	2	0	0	0	1	1
8	Matt Dumba	Jets	D	34	3	13	16	1	40	0	54	52	67	35	37	4.48%	69	947	27.88	1	3	4	13	143	0	0	0	1	103	0	0	0.00%	0	29	37	0	0.34	0	1	0	0	0	0	0
9	Kyle Brodziak	Jets	C/RW	34	5	10	15	-18	18	0	50	30	54	14	27	9.26%	16	591	17.41	3	5	8	10	130	0	0	0	0	0	0	1	52.94%	102	8	3	0	0.51	0	0	0	0	0	0	2
10	Nikita Zadorov	Jets	D	34	2	9	11	-19	56	0	63	43	29	8	12	6.90%	26	667	19.63	2	4	6	4	89	0	0	0	2	65	0	0	0.00%	0	5	22	0	0.33	0	0	0	0	0	1	0
11	Andrew Cogliano	Jets	LW	34	3	4	7	-9	10	0	35	32	64	16	37	4.69%	8	421	12.40	0	0	0	1	4	1	0	1	5	26	1	0	57.14%	14	14	3	0	0.33	0	1	0	0	0	0	0
12	Jesper Bratt	Jets	LW/RW	34	3	4	7	-6	8	0	15	23	62	23	43	4.84%	11	366	10.78	0	0	0	0	0	0	0	0	0	1	0	0	75.00%	16	19	4	0	0.38	0	0	0	0	0	0	0
13	Devin Shore	Jets	C/LW/RW	29	3	3	6	1	4	0	14	9	41	9	13	7.32%	6	236	8.14	0	0	0	0	1	0	0	0	0	5	1	1	50.00%	6	6	3	0	0.51	0	0	0	0	0	0	1
14	Dominic Moore	Jets	C	34	4	2	6	-1	6	0	20	24	37	12	25	10.81%	12	322	9.49	0	0	0	0	3	0	0	0	0	4	0	0	48.39%	155	4	5	0	0.37	0	0	0	0	0	0	2
15	Tomas Hertl	Jets	C/LW	34	1	4	5	1	18	0	13	14	79	17	33	1.27%	5	271	7.99	0	0	0	0	0	0	1	1	0	21	1	0	44.16%	77	15	0	0	0.37	0	1	0	0	0	0	0
16	Alex Goligoski	Jets	D	34	0	4	4	-17	7	5	29	47	37	22	18	0.00%	30	703	20.70	0	3	3	4	89	0	0	0	1	85	0	0	0.00%	0	9	20	0	0.11	0	0	0	0	0	0	0
17	Derek Ryan	Jets	C/RW	18	2	1	3	0	0	0	2	11	19	8	13	10.53%	2	155	8.64	0	0	0	0	1	0	0	0	0	7	0	0	44.44%	9	3	3	0	0.39	0	0	0	0	0	1	1
18	Jonathan Ericsson	Jets	D	34	0	3	3	0	12	0	17	22	24	9	6	0.00%	29	380	11.19	0	0	0	0	3	0	0	0	0	3	0	0	0.00%	0	1	11	0	0.16	0	0	0	0	0	0	0
19	Gustav Forsling	Jets	D	34	0	1	1	-3	6	0	10	19	18	10	11	0.00%	25	383	11.28	0	0	0	0	3	0	0	0	0	39	0	0	0.00%	0	2	10	0	0.05	0	0	0	0	0	0	0
20	Mark Pysyk	Jets	D	5	0	0	0	1	0	0	1	5	3	2	1	0.00%	7	60	12.19	0	0	0	0	0	0	0	0	1	4	0	0	0.00%	0	0	1	0	0.00	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				612	90	153	243	-83	281	15	582	626	1245	385	643	7.23%	384	10069	16.45	31	51	82	155	1182	2	2	4	27	838	9	5	49.30%	2270	269	224	1	0.48	8	24	1	1	6	8	17

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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	SO	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	Craig Anderson	Jets	19	10	9	0	0.908	3.06	1137	1	58	629	298	0	0.846	13	19	15	1	5	0
2	Cam Talbot	Jets	16	4	9	2	0.920	2.84	930	0	44	549	256	2	0.778	9	15	19	2	2	1
Stats d'équipe Total ou en Moyenne			35	14	18	2	0.913	2.96	2067	1	102	1178	554	2	0.818	22	34	34	3	7	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	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Link
Aleksander Barkov (Sur la Masse Salariale)	Jets	C	22	1995-09-02	No	213 Lbs	6 ft3	No	No	No	4	Contrat d'Entrée	Pro & Farm	5,900,000$	5,900,000$	3,668,908$	No	5,900,000$	5,900,000$	5,900,000$		Lien
Alex Goligoski	Jets	D	32	1985-07-30	No	185 Lbs	5 ft11	No	No	No	3	Sans Restriction	Pro & Farm	5,475,000$	5,475,000$	3,404,622$	No	5,475,000$	5,475,000$			Lien
Andrew Cogliano	Jets	LW	30	1987-06-14	No	177 Lbs	5 ft10	No	No	No	3	Sans Restriction	Pro & Farm	3,250,000$	3,250,000$	2,021,008$	No	3,250,000$	3,250,000$			Lien
Cam Talbot (Sur la Masse Salariale)	Jets	G	30	1987-07-05	No	200 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	4,166,667$	4,166,667$	2,591,037$	No					Lien
Craig Anderson	Jets	G	36	1981-05-21	No	185 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	1,175,000$	1,175,000$	730,672$	No	1,175,000$				Lien
Derek Ryan	Jets	C/RW	30	1986-12-29	No	170 Lbs	5 ft11	No	No	No	3	Sans Restriction	Pro & Farm	3,125,000$	3,125,000$	1,943,277$	No	3,125,000$	3,125,000$			Lien
Devin Shore	Jets	C/LW/RW	23	1994-07-19	No	205 Lbs	6 ft0	No	No	No	2	Contrat d'Entrée	Pro & Farm	2,300,000$	2,300,000$	1,430,252$	No	2,300,000$				Lien
Dominic Moore	Jets	C	37	1980-08-03	No	192 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	975,000$	975,000$	606,303$	No					Lien
Gabriel Landeskog	Jets	LW/RW	24	1992-11-23	No	215 Lbs	6 ft1	No	No	No	3	Contrat d'Entrée	Pro & Farm	5,571,428$	5,571,428$	3,464,585$	No	5,571,428$	5,571,428$			Lien
Gustav Forsling	Jets	D	21	1996-06-12	No	186 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	872,500$	872,500$	542,563$	No					Lien
Jason Pominville	Jets	RW	34	1982-11-30	No	180 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	5,600,000$	5,600,000$	3,482,353$	No					Lien
Jesper Bratt	Jets	LW/RW	19	1998-07-30	No	175 Lbs	5 ft10	No	No	No	2	Contrat d'Entrée	Pro & Farm	750,000$	750,000$	466,387$	No	750,000$				Lien
Jonathan Ericsson	Jets	D	33	1984-03-02	No	220 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	975,000$	975,000$	606,303$	No					Lien
Kyle Brodziak	Jets	C/RW	33	1984-05-25	No	209 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	1,150,000$	1,150,000$	715,126$	No	1,150,000$				Lien
Mark Pysyk	Jets	D	25	1992-01-11	No	200 Lbs	6 ft1	No	No	No	2	Contrat d'Entrée	Pro & Farm	2,733,333$	2,733,333$	1,699,720$	No	2,733,333$				Lien
Matt Dumba	Jets	D	23	1994-07-25	No	184 Lbs	6 ft0	No	No	No	5	Contrat d'Entrée	Pro & Farm	6,000,000$	6,000,000$	3,731,092$	No	6,000,000$	6,000,000$	6,000,000$	6,000,000$	Lien
Michael Cammalleri	Jets	LW	35	1982-06-08	No	185 Lbs	5 ft9	No	No	No	1	Sans Restriction	Pro & Farm	1,750,000$	1,750,000$	1,088,235$	No					Lien
Nikita Zadorov	Jets	D	22	1995-04-16	No	230 Lbs	6 ft5	No	No	No	1	Contrat d'Entrée	Pro & Farm	2,150,000$	2,150,000$	1,336,975$	No					Lien
Pierre-Luc Dubois	Jets	C/LW	19	1998-06-24	No	207 Lbs	6 ft3	No	No	No	2	Contrat d'Entrée	Pro & Farm	894,166$	894,166$	556,036$	No	894,166$				Lien
Rasmus Ristolainen	Jets	D	22	1994-10-27	No	218 Lbs	6 ft4	No	No	No	4	Contrat d'Entrée	Pro & Farm	5,400,000$	5,400,000$	3,357,983$	No	5,400,000$	5,400,000$	5,400,000$		Lien
Tomas Hertl	Jets	C/LW	23	1993-11-12	No	220 Lbs	6 ft2	No	No	No	4	Contrat d'Entrée	Pro & Farm	5,625,000$	5,625,000$	3,497,899$	No	5,625,000$	5,625,000$	5,625,000$		Lien
Travis Zajac	Jets	C	32	1985-05-13	No	185 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro & Farm	4,125,000$	4,125,000$	2,565,126$	No	4,125,000$	4,125,000$			Lien
Tristan Jarry	Jets	G	22	1995-04-29	No	194 Lbs	6 ft2	No	No	No	2	Contrat d'Entrée	Pro & Farm	750,000$	750,000$	466,387$	No	750,000$				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	27.26	197 Lbs	6 ft1	2.30	3,074,482$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
70,713,094$	54,223,927$	44,471,428$	22,925,000$	6,000,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Pierre-Luc Dubois	Aleksander Barkov	Gabriel Landeskog	40	1	2	2
2	Michael Cammalleri	Travis Zajac	Jason Pominville	30	1	2	2
3	Andrew Cogliano	Kyle Brodziak	Jesper Bratt	20	1	2	2
4	Tomas Hertl	Dominic Moore	Devin Shore	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Ristolainen	Matt Dumba	40	1	2	2
2	Alex Goligoski	Nikita Zadorov	30	1	2	2
3	Jonathan Ericsson	Gustav Forsling	20	1	2	2
4	Rasmus Ristolainen	Matt Dumba	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Gabriel Landeskog	Aleksander Barkov	Kyle Brodziak	60	1	2	2
2	Michael Cammalleri	Pierre-Luc Dubois	Jason Pominville	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Ristolainen	Matt Dumba	60	1	2	2
2	Alex Goligoski	Nikita Zadorov	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Aleksander Barkov	Gabriel Landeskog	60	1	2	2
2	Michael Cammalleri	Pierre-Luc Dubois	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Ristolainen	Matt Dumba	60	1	2	2
2	Alex Goligoski	Nikita Zadorov	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Aleksander Barkov	60	1	2	2	Rasmus Ristolainen	Matt Dumba	60	1	2	2
2	Gabriel Landeskog	40	1	2	2	Alex Goligoski	Nikita Zadorov	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Aleksander Barkov	Gabriel Landeskog	60	1	2	2
2	Michael Cammalleri	Pierre-Luc Dubois	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Ristolainen	Matt Dumba	60	1	2	2
2	Alex Goligoski	Nikita Zadorov	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Gabriel Landeskog	Aleksander Barkov	Kyle Brodziak	Rasmus Ristolainen	Matt Dumba

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Gabriel Landeskog	Aleksander Barkov	Kyle Brodziak	Rasmus Ristolainen	Matt Dumba

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Andrew Cogliano, Dominic Moore, Travis Zajac	Andrew Cogliano, Dominic Moore	Travis Zajac

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jonathan Ericsson, Gustav Forsling, Alex Goligoski	Jonathan Ericsson	Gustav Forsling, Alex Goligoski

Tirs de Pénalité
Aleksander Barkov, Gabriel Landeskog, Michael Cammalleri, Pierre-Luc Dubois, Andrew Cogliano

Gardien
#1 : Cam Talbot, #2 : Craig Anderson

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Avalanche	5	1	2	0	0	1	1	0	20	20	0	2	0	1	0	0	1	0	0	7	10	-3	3	1	1	0	0	0	1	0	13	10	3	5	0.500	20	35	55	0	0	5	8	6	1	201	71	63	64	6	164	62	46	94	25	7	28.00%	23	6	73.91%	0	482	936	51.50%	416	852	48.83%	221	460	48.04%	112	65	105	45	88	46
2	Blackhawks	3	1	1	0	0	0	1	0	11	7	4	2	1	0	0	0	0	1	0	9	4	5	1	0	1	0	0	0	0	0	2	3	-1	4	0.667	11	15	26	0	0	4	1	5	1	110	45	26	38	5	118	30	30	48	18	6	33.33%	10	1	90.00%	0	482	936	51.50%	416	852	48.83%	221	460	48.04%	65	38	68	26	51	25
3	Blue Jackets	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	4	7	0	0	0	0	2	2	33	11	13	8	4	29	10	4	17	5	1	20.00%	2	0	100.00%	0	482	936	51.50%	416	852	48.83%	221	460	48.04%	22	11	21	10	21	10
4	Blues	3	0	3	0	0	0	0	0	5	11	-6	1	0	1	0	0	0	0	0	2	3	-1	2	0	2	0	0	0	0	0	3	8	-5	0	0.000	5	8	13	0	0	2	2	1	0	106	27	36	43	0	116	38	28	46	10	1	10.00%	15	3	80.00%	0	482	936	51.50%	416	852	48.83%	221	460	48.04%	61	35	66	28	51	25
5	Canadiens	2	0	2	0	0	0	0	0	5	13	-8	1	0	1	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	5	9	14	0	0	2	3	0	0	77	16	36	25	0	78	37	12	36	8	1	12.50%	6	3	50.00%	0	482	936	51.50%	416	852	48.83%	221	460	48.04%	41	23	46	16	32	16
6	Capitals	2	0	1	0	0	0	1	0	3	4	-1	1	0	0	0	0	0	1	0	2	1	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	3	3	6	0	0	0	2	0	2	63	17	15	29	9	77	22	12	41	7	2	28.57%	6	0	100.00%	0	482	936	51.50%	416	852	48.83%	221	460	48.04%	43	24	47	17	34	17
7	Ducks	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	3	6	9	0	0	1	2	0	0	70	13	29	28	0	69	12	20	35	8	0	0.00%	10	2	80.00%	0	482	936	51.50%	416	852	48.83%	221	460	48.04%	40	24	47	18	32	14
8	Flyers	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	0	1	0	0	39	10	15	14	0	32	13	8	23	4	0	0.00%	4	1	75.00%	0	482	936	51.50%	416	852	48.83%	221	460	48.04%	21	12	21	8	16	8
9	Golden Knights	3	2	1	0	0	0	0	0	10	6	4	2	1	1	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	4	2	2	4	0.667	10	17	27	0	1	4	4	2	0	125	45	45	35	0	77	19	26	49	10	1	10.00%	14	3	78.57%	0	482	936	51.50%	416	852	48.83%	221	460	48.04%	72	44	55	27	52	25
10	Islanders	2	0	1	0	0	0	1	0	5	8	-3	2	0	1	0	0	0	1	0	5	8	-3	0	0	0	0	0	0	0	0	0	0	0	2	0.500	5	8	13	0	0	1	0	3	2	67	21	32	14	2	65	30	16	23	10	2	20.00%	8	1	87.50%	0	482	936	51.50%	416	852	48.83%	221	460	48.04%	42	24	45	19	36	18
11	Kings	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	1	0	1	0	34	8	11	15	0	36	11	14	15	2	0	0.00%	7	1	85.71%	0	482	936	51.50%	416	852	48.83%	221	460	48.04%	20	10	21	10	18	8
12	Lightning	2	1	1	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	4	1	3	2	0.500	6	7	13	0	0	1	2	3	0	72	26	25	21	0	69	22	12	27	7	2	28.57%	6	3	50.00%	0	482	936	51.50%	416	852	48.83%	221	460	48.04%	44	26	42	16	32	17
13	Maple Leafs	1	0	0	0	0	0	0	1	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	2	-1	1	0.500	1	2	3	0	0	1	0	0	0	38	17	11	6	7	26	9	6	29	3	0	0.00%	3	0	100.00%	0	482	936	51.50%	416	852	48.83%	221	460	48.04%	23	12	22	10	19	9
14	Predateurs	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	1	3	4	1.000	8	14	22	0	0	2	5	1	0	72	26	17	29	0	66	13	14	29	13	3	23.08%	7	1	85.71%	1	482	936	51.50%	416	852	48.83%	221	460	48.04%	44	25	42	19	33	17
15	Senateurs	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	0	0	1	0	27	13	2	12	0	31	18	17	21	5	0	0.00%	7	1	85.71%	0	482	936	51.50%	416	852	48.83%	221	460	48.04%	19	9	22	9	17	9
16	Sharks	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	3	5	0	0	1	1	0	0	32	12	10	10	0	46	8	10	14	2	1	50.00%	5	1	80.00%	0	482	936	51.50%	416	852	48.83%	221	460	48.04%	20	11	24	9	15	6
17	Stars	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	5	1	4	4	1.000	9	15	24	0	0	4	2	3	0	79	33	21	25	0	79	30	6	35	10	4	40.00%	3	0	100.00%	1	482	936	51.50%	416	852	48.83%	221	460	48.04%	47	28	38	17	34	18
	Total	34	9	18	0	0	1	5	1	95	103	-8	15	4	7	0	0	1	3	0	47	48	-1	19	5	11	0	0	0	2	1	48	55	-7	30	0.441	95	153	248	0	1	29	33	28	8	1245	411	407	416	33	1178	384	281	582	147	31	21.09%	136	27	80.15%	2	482	936	51.50%	416	852	48.83%	221	460	48.04%	741	429	740	312	589	295
	_Since Last GM Reset	34	9	18	0	0	1	5	1	95	103	-8	15	4	7	0	0	1	3	0	47	48	-1	19	5	11	0	0	0	2	1	48	55	-7	30	0.441	95	153	248	0	1	29	33	28	8	1245	411	407	416	33	1178	384	281	582	147	31	21.09%	136	27	80.15%	2	482	936	51.50%	416	852	48.83%	221	460	48.04%	741	429	740	312	589	295
	_Vs Conference	22	8	11	0	0	1	2	0	70	64	6	10	4	4	0	0	1	1	0	34	29	5	12	4	7	0	0	0	1	0	36	35	1	21	0.477	70	116	186	0	1	24	25	19	2	829	280	258	287	11	771	223	194	365	98	23	23.47%	94	18	80.85%	2	482	936	51.50%	416	852	48.83%	221	460	48.04%	484	284	469	202	377	188
	_Vs Division	15	6	6	0	0	1	2	0	53	45	8	7	3	2	0	0	1	1	0	26	22	4	8	3	4	0	0	0	1	0	27	23	4	17	0.567	53	87	140	0	0	17	18	16	2	568	202	163	199	11	543	173	124	252	76	21	27.63%	58	11	81.03%	2	482	936	51.50%	416	852	48.83%	221	460	48.04%	331	193	321	136	258	132

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
34	30	L2	95	153	248	1245	1178	384	281	582	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
34	9	18	0	1	5	1	95	103

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	4	7	0	1	3	0	47	48

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
19	5	11	0	0	2	1	48	55

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	6	0	1	1	1

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
147	31	21.09%	136	27	80.15%	2

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
411	407	416	33	29	33	28	8

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
482	936	51.50%	416	852	48.83%	221	460	48.04%

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
741	429	740	312	589	295

Derniers Match Joués

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
3 - 2018-10-11	9	Jets	2	Kings	4	L			Sommaire du Match
5 - 2018-10-13	18	Stars	2	Jets	4	W			Sommaire du Match
7 - 2018-10-15	30	Blues	3	Jets	2	L			Sommaire du Match
9 - 2018-10-17	38	Jets	2	Blackhawks	3	L			Sommaire du Match
11 - 2018-10-19	45	Jets	2	Blues	5	L			Sommaire du Match
13 - 2018-10-21	56	Jets	4	Predateurs	1	W			Sommaire du Match
15 - 2018-10-23	69	Predateurs	3	Jets	4	W			Sommaire du Match
20 - 2018-10-28	83	Jets	5	Stars	1	W			Sommaire du Match
22 - 2018-10-30	94	Blackhawks	1	Jets	2	W	X	X	Sommaire du Match
25 - 2018-11-02	109	Jets	3	Avalanche	2	W	X	X	Sommaire du Match
27 - 2018-11-04	115	Avalanche	5	Jets	3	L			Sommaire du Match
29 - 2018-11-06	123	Jets	1	Ducks	3	L			Sommaire du Match
33 - 2018-11-10	141	Islanders	6	Jets	2	L			Sommaire du Match
38 - 2018-11-15	158	Canadiens	7	Jets	4	L			Sommaire du Match
41 - 2018-11-18	172	Jets	4	Golden Knights	2	W			Sommaire du Match
43 - 2018-11-20	180	Blackhawks	3	Jets	7	W			Sommaire du Match
45 - 2018-11-22	194	Jets	4	Avalanche	6	L			Sommaire du Match
49 - 2018-11-26	206	Jets	1	Canadiens	6	L			Sommaire du Match
51 - 2018-11-28	213	Ducks	3	Jets	2	L			Sommaire du Match
54 - 2018-12-01	231	Jets	1	Flyers	4	L			Sommaire du Match
56 - 2018-12-03	235	Golden Knights	0	Jets	3	W			Sommaire du Match
60 - 2018-12-07	247	Jets	3	Blue Jackets	2	W	X	X	Sommaire du Match
62 - 2018-12-09	257	Islanders	2	Jets	3	W	X	X	Sommaire du Match
66 - 2018-12-13	275	Jets	6	Avalanche	2	W			Sommaire du Match
69 - 2018-12-16	283	Golden Knights	4	Jets	3	L			Sommaire du Match
72 - 2018-12-19	293	Jets	4	Lightning	1	W			Sommaire du Match
74 - 2018-12-21	307	Avalanche	5	Jets	4	L	X		Sommaire du Match
77 - 2018-12-24	319	Jets	2	Sharks	3	L			Sommaire du Match
80 - 2018-12-27	332	Lightning	3	Jets	2	L			Sommaire du Match
82 - 2018-12-29	339	Jets	1	Capitals	3	L			Sommaire du Match
84 - 2018-12-31	352	Jets	1	Maple Leafs	2	L	X	X	Sommaire du Match
86 - 2019-01-02	357	Capitals	1	Jets	2	W	X	X	Sommaire du Match
88 - 2019-01-04	366	Jets	1	Blues	3	L			Sommaire du Match
90 - 2019-01-06	372	Jets	1	Senateurs	2	L			Sommaire du Match
92 - 2019-01-08	384	Ducks	-	Jets	-
94 - 2019-01-10	392	Jets	-	Blackhawks	-
97 - 2019-01-13	404	Jets	-	Islanders	-
98 - 2019-01-14	408	Blue Jackets	-	Jets	-
104 - 2019-01-20	431	Kings	-	Jets	-
106 - 2019-01-22	442	Jets	-	Blues	-
110 - 2019-01-26	456	Blues	-	Jets	-
114 - 2019-01-30	472	Jets	-	Kings	-
116 - 2019-02-01	480	Blues	-	Jets	-
120 - 2019-02-05	496	Jets	-	Penguins	-
122 - 2019-02-07	503	Predateurs	-	Jets	-
124 - 2019-02-09	514	Jets	-	Panthers	-
127 - 2019-02-12	527	Devils	-	Jets	-
129 - 2019-02-14	541	Jets	-	Devils	-
132 - 2019-02-17	550	Canadiens	-	Jets	-
135 - 2019-02-20	562	Jets	-	Ducks	-
137 - 2019-02-22	569	Jets	-	Kings	-
138 - 2019-02-23	576	Avalanche	-	Jets	-
140 - 2019-02-25	589	Jets	-	Golden Knights	-
144 - 2019-03-01	600	Penguins	-	Jets	-
149 - 2019-03-06	623	Flames	-	Jets	-
151 - 2019-03-08	631	Jets	-	Sharks	-
153 - 2019-03-10	645	Jets	-	Bruins	-
154 - 2019-03-11	648	Panthers	-	Jets	-
159 - 2019-03-16	671	Bruins	-	Jets	-
163 - 2019-03-20	692	Flyers	-	Jets	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
167 - 2019-03-24	701	Jets	-	Oilers	-
170 - 2019-03-27	716	Blackhawks	-	Jets	-
171 - 2019-03-28	724	Jets	-	Oilers	-
175 - 2019-04-01	740	Maple Leafs	-	Jets	-
178 - 2019-04-04	751	Jets	-	Ducks	-
180 - 2019-04-06	761	Jets	-	Predateurs	-
181 - 2019-04-07	766	Kings	-	Jets	-
186 - 2019-04-12	785	Jets	-	Flames	-
187 - 2019-04-13	790	Sharks	-	Jets	-
192 - 2019-04-18	812	Sharks	-	Jets	-
194 - 2019-04-20	820	Jets	-	Stars	-
199 - 2019-04-25	835	Stars	-	Jets	-
201 - 2019-04-27	842	Jets	-	Stars	-
205 - 2019-05-01	857	Jets	-	Flames	-
207 - 2019-05-03	862	Stars	-	Jets	-
212 - 2019-05-08	883	Senateurs	-	Jets	-
216 - 2019-05-12	905	Jets	-	Predateurs	-
217 - 2019-05-13	911	Flames	-	Jets	-
220 - 2019-05-16	921	Jets	-	Blackhawks	-
222 - 2019-05-18	933	Predateurs	-	Jets	-
230 - 2019-05-26	955	Oilers	-	Jets	-
236 - 2019-06-01	981	Oilers	-	Jets	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	100	85	65	35	200
Assistance	85,772	48,589	16,331	42,938	14,213
Attendance PCT	95.30%	64.79%	54.44%	71.56%	94.75%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
26	13856 - 76.98%	1,595,643$	23,934,652$	18000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
27,093,650$	70,713,094$	70,625,594$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
70,713,094$	26,715,470$	0$	23	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
41,486,730$	148	301,316$	44,594,768$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
45,268,763$	70,713,094$	10,491,140$	6,709,107$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Gabriel Landeskog	AGE:24	PO:86	OV:85
Pierre-Luc Dubois	AGE:19	PO:91	OV:76
Michael Cammalleri	AGE:35	PO:35	OV:76
Andrew Cogliano	AGE:30	PO:63	OV:75
Tomas Hertl	AGE:23	PO:80	OV:73
Jesper Bratt	AGE:19	PO:50	OV:73
Devin Shore	AGE:23	PO:66	OV:71
Brock McGinn	AGE:23	PO:70	OV:70
Brendan Leipsic	AGE:23	PO:62	OV:66
Remi Elie	AGE:22	PO:75	OV:64

Aleksander Barkov	AGE:22	PO:90	OV:87
Pierre-Luc Dubois	AGE:19	PO:91	OV:76
Travis Zajac	AGE:32	PO:49	OV:75
Dominic Moore	AGE:37	PO:26	OV:75
Kyle Brodziak	AGE:33	PO:26	OV:75
Tomas Hertl	AGE:23	PO:80	OV:73
Devin Shore	AGE:23	PO:66	OV:71
Derek Ryan	AGE:30	PO:27	OV:71
Janne Kuokkanen	AGE:19	PO:76	OV:65
Tage Thompson	AGE:19	PO:80	OV:63
Filip Chytil	AGE:18	PO:84	OV:62

Gabriel Landeskog	AGE:24	PO:86	OV:85
Kyle Brodziak	AGE:33	PO:26	OV:75
Jason Pominville	AGE:34	PO:34	OV:74
Jesper Bratt	AGE:19	PO:50	OV:73
Devin Shore	AGE:23	PO:66	OV:71
Derek Ryan	AGE:30	PO:27	OV:71
Brock McGinn	AGE:23	PO:70	OV:70
Stefan Noesen	AGE:24	PO:79	OV:68
Brendan Leipsic	AGE:23	PO:62	OV:66
Owen Tippett	AGE:18	PO:88	OV:61

Défense #1

Défense #2

Gardien

Rasmus Ristolainen	AGE:22	PO:85	OV:79
Matt Dumba	AGE:23	PO:85	OV:76
Alex Goligoski	AGE:32	PO:40	OV:76
Nikita Zadorov	AGE:22	PO:83	OV:75

Jonathan Ericsson	AGE:33	PO:26	OV:74
Mark Pysyk	AGE:25	PO:77	OV:72
Gustav Forsling	AGE:21	PO:59	OV:72
*Noah Juulsen	AGE:20	PO:80	OV:67

Cam Talbot	AGE:30	PO:34	OV:81
Craig Anderson	AGE:36	PO:29	OV:79
Tristan Jarry	AGE:22	PO:73	OV:77

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total
Albin Eriksson	Jets	2018	67
Cameron Hillis	Jets	2018	91
Connor Timmins	Jets	2017	32
Jacob Olofsson	Jets	2018	43
Jason Robertson	Jets	2017	39
Juuso Valimaki	Jets	2017	16
Kiefer Bellows	Jets	2016	19
Linus Karlsson	Jets	2018	115
Marcus Davidsson	Jets
Maxim Comtois	Jets	2017	50
Shane Bowers	Jets
Ty Dellandrea	Jets	2018	12

Choix au Repêchage

Année	R1	R2	R3	R4	R5
3	WPG	WPG	WPG	WPG	WPG
4	WPG	WPG	WPG	WPG	WPG
5	WPG	WPG	WPG	WPG	WPG
6	WPG	WPG	WPG	WPG	WPG
7	WPG	WPG	WPG	WPG	WPG

[2018-11-09 23:04:49] - New Record for Team's Most Penalties Minutes (22) in 1 Game for Jets!
[2018-11-09 23:04:49] - New Record for Team's Most Points (18) in 1 Game for Jets!
[2018-11-09 23:04:49] - New Record for Team's Most Goals (7) in 1 Game for Jets!
[2018-10-04 22:33:26] - Jonathan Ericsson was added to Jets.
[2018-10-04 22:33:03] - Dominic Moore was added to Jets.
[2018-10-04 22:32:58] - Michael Cammalleri was added to Jets.
[2018-10-01 23:44:55] - Travis Zajac was added to Jets.
[2018-10-01 23:44:49] - Craig Anderson was added to Jets.
[2018-09-25 00:26:58] - Moose hired Ron Wilson for 500 000 $ for 1 year(s).
[2018-09-10 13:01:14] - Travis Zajac was released.
[2018-09-10 13:01:14] - Jets paid 0 $ to release Travis Zajac.
[2018-09-10 13:01:07] - Roberto Luongo was released.
[2018-09-10 13:01:07] - Jets paid 0 $ to release Roberto Luongo.
[2018-09-10 13:01:00] - Craig Anderson was released.
[2018-09-10 13:01:00] - Jets paid 0 $ to release Craig Anderson.
[2018-09-10 13:00:53] - Carl Gunnarsson was released.
[2018-09-10 13:00:53] - Jets paid 0 $ to release Carl Gunnarsson.
[2018-08-29 21:47:57] - Noah Juulsen was added to Jets.
[2018-08-29 20:50:13] - Linus Karlsson has been added to Jets.
[2018-08-29 20:38:46] - Cameron Hillis has been added to Jets.
[2018-08-29 20:26:04] - Albin Eriksson has been added to Jets.
[2018-08-19 21:54:21] - Jacob Olofsson has been added to Jets.
[2018-08-19 21:33:03] - Ty Dellandrea has been added to Jets.
[2018-07-06 22:02:44] - Bill Peeters contract with Moose has ended.
[2018-05-31 22:42:24] - Jets was eliminated at round 1 of year 1.
[2018-05-27 21:48:34] - Moose was eliminated at round 1 of year 1.
[2018-05-11 21:04:52] - New Record for Team's Most Shots (52) in 1 Game for Jets!
[2018-05-11 21:04:52] - New Record for Team's Most Shots (52) in 1 Game for Jets!

[2018-12-13 21:24:32] Stefan Noesen from Moose has scored a Hat Trick!
[2018-12-13 21:24:32] Stefan Noesen from Moose is injured from Exhaustion.
[2018-12-13 21:24:32] Filip Chytil from Moose has scored a Hat Trick!
[2018-12-13 21:24:32] Brock McGinn from Moose has scored a Hat Trick!
[2018-12-13 21:24:32] Brock McGinn from Moose is injured from Exhaustion.
[2018-12-13 21:21:50] Successfully loaded Jets lines done with STHS Client - 3.1.4.4
[2018-12-13 21:21:15] Moose lines for next game are empty. Current rosters/lines are not erased.
[2018-12-12 21:08:08] Stefan Noesen from Moose is back from Exhaustion.
[2018-12-12 21:08:08] Brock McGinn from Moose is back from Exhaustion.
[2018-12-12 21:08:08] Jets lines for next game are empty. Current rosters/lines are not erased.
[2018-12-12 21:06:58] Noah Juulsen from Moose is back from Exhaustion.
[2018-12-12 21:06:58] Moose lines for next game are empty. Current rosters/lines are not erased.
[2018-12-12 21:06:58] Stefan Noesen from Moose is injured from Exhaustion.
[2018-12-12 21:06:58] Brock McGinn from Moose is injured from Exhaustion.
[2018-12-11 21:23:01] Janne Kuokkanen from Moose is back from Exhaustion.
[2018-12-11 21:13:35] Janne Kuokkanen from Moose is injured from Exhaustion.
[2018-12-11 21:13:35] Noah Juulsen from Moose is injured from Exhaustion.
[2018-12-07 22:22:14] Brendan Leipsic from Moose is back from Left Knee Injury.
[2018-12-07 22:22:14] Brock McGinn from Moose has scored a Hat Trick!
[2018-12-07 22:22:14] Remi Elie from Moose has scored a Hat Trick!
[2018-12-07 22:22:14] Game 337 - Brendan Leipsic from Moose is injured (Left Knee) and is out for 2 days.
[2018-11-28 21:16:41] Filip Chytil from Moose has scored a Hat Trick!
[2018-11-26 13:21:26] Successfully loaded Jets lines done with STHS Client - 3.1.4.4
[2018-11-23 23:36:05] Moose lines for next game are empty. Current rosters/lines are not erased.
[2018-11-23 23:36:04] Stefan Noesen from Moose has scored a Hat Trick!
[2018-11-23 23:34:37] Jets lines for next game are empty. Current rosters/lines are not erased.
[2018-11-22 22:42:51] Jets lines for next game are empty. Current rosters/lines are not erased.

Brock McGinn est dehors pour 1 jours à cause de Exhaustion.
Stefan Noesen est dehors pour 1 jours à cause de Exhaustion.

Afficher ou Masquer des Colonnes

	Ligue											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
2	34	9	18	0	0	1	5	1	95	103	-8	15	4	7	0	0	1	3	0	47	48	-1	19	5	11	0	0	0	2	1	48	55	-7	30	95	153	248	0	1	29	33	28	8	1245	411	407	416	33	1178	384	281	582	147	31	21.09%	136	27	80.15%	2	482	936	51.50%	416	852	48.83%	221	460	48.04%	741	429	740	312	589	295
Total Saison Régulière	34	9	18	0	0	1	5	1	95	103	-8	15	4	7	0	0	1	3	0	47	48	-1	19	5	11	0	0	0	2	1	48	55	-7	30	95	153	248	0	1	29	33	28	8	1245	411	407	416	33	1178	384	281	582	147	31	21.09%	136	27	80.15%	2	482	936	51.50%	416	852	48.83%	221	460	48.04%	741	429	740	312	589	295

Année	R1	R2	R3	R4	R5
3	WPG	WPG	WPG	WPG	WPG
4	WPG	WPG	WPG	WPG	WPG
5	WPG	WPG	WPG	WPG	WPG
6	WPG	WPG	WPG	WPG	WPG
7	WPG	WPG	WPG	WPG	WPG

Année	R1	R2	R3	R4	R5
3	WPG	WPG	WPG	WPG	WPG
4	WPG	WPG	WPG	WPG	WPG
5	WPG	WPG	WPG	WPG	WPG
6	WPG	WPG	WPG	WPG	WPG
7	WPG	WPG	WPG	WPG	WPG

Année	R1	R2	R3	R4	R5
3	WPG	WPG	WPG	WPG	WPG
4	WPG	WPG	WPG	WPG	WPG
5	WPG	WPG	WPG	WPG	WPG
6	WPG	WPG	WPG	WPG	WPG
7	WPG	WPG	WPG	WPG	WPG