PIFFPACK - Jets

Moose
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Informations Joueurs
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Calendrier
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Historique
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Stats d'équipe en Carrière
Client Web pour Formation
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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				96.00	55	36	92	80	86	89	95	87	90	88	82	83	85	67	84	88	51	87	0
2	Gabriel Landeskog		X			99.00	82	47	73	79	80	87	86	78	72	82	85	73	81	74	91	77	52	85	0
3	Gustav Nyquist		X	X		99.00	57	36	91	80	69	85	94	77	53	79	74	58	76	78	73	48	52	79	0
4	Pierre-Luc Dubois	X				99.00	80	43	72	78	85	83	95	76	80	77	77	68	79	61	66	89	52	79	0
5	Tomas Hertl	X	X			100.00	62	37	88	79	83	85	90	78	82	80	84	83	77	71	73	79	52	78	0
6	Travis Zajac	X				100.00	67	37	87	73	77	85	93	71	86	74	72	80	69	84	77	53	52	76	0
7	Derek Ryan	X				100.00	53	38	86	69	67	75	94	68	76	73	65	81	68	82	74	26	52	73	0
8	Jesper Bratt		X	X		100.00	63	36	92	73	65	78	64	72	53	80	65	57	69	61	62	49	52	73	0
9	Brendan Leipsic		X	X		100.00	70	39	83	68	67	75	76	66	53	71	62	56	64	69	66	61	52	71	0
10	Devin Shore	X	X			100.00	79	42	88	66	78	77	89	64	70	72	63	77	65	69	71	65	52	71	0
11	Tage Thompson		X	X		100.00	74	37	87	68	93	70	73	67	59	63	69	62	64	63	62	80	52	71	0
12	Dustin Byfuglien				X	99.00	84	53	56	76	98	91	65	74	30	88	66	75	63	84	75	36	52	78	0
13	Rasmus Ristolainen				X	99.00	93	40	80	72	89	91	92	71	30	82	63	74	56	69	67	84	52	76	0
14	Nikita Zadorov				X	100.00	95	60	65	66	95	83	84	66	30	67	67	78	54	67	64	82	52	75	0
15	Alex Goligoski				X	100.00	73	37	89	65	69	87	89	65	30	77	57	78	51	84	74	36	52	74	0
16	Matt Dumba				X	100.00	84	47	74	78	71	90	50	77	30	76	85	73	65	69	66	84	52	74	0
17	Mark Pysyk				X	100.00	84	39	83	60	77	83	84	59	30	70	53	75	47	73	67	69	52	71	0
18	Noah Juulsen				X	100.00	86	37	89	63	79	82	50	62	30	70	56	80	49	63	62	80	52	71	0
Rayé
1	Andrew Cogliano	X	X			100.00	68	38	86	70	67	73	91	66	54	62	59	71	63	80	73	50	44	69	0

	MOYENNE D'ÉQUIPE					99.53	74	41	82	72	79	83	82	71	55	75	69	73	66	72	71	65	52	75

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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	Mikko Koskinen	100.00	89	95	93	96	88	87	89	88	87	89	88	79	85	61	52	86	0
2	Craig Anderson	100.00	86	94	92	77	85	84	86	85	84	86	85	88	92	27	52	83	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	88	95	93	87	87	86	88	87	86	88	87	84	89	44	52	85

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Todd Richards	75	80	85	69	78	73	71	USA	52	1	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	S1	S2	S3
1	Aleksander Barkov	Jets	C	6	3	6	9	4	0	8	17	30	16	20	10.00%	4	162	27.03	0	3	3	4	32	0	18	0	0	57.73%	220	9	1	1.11	2	0	0
2	Gustav Nyquist	Jets	LW/RW	6	2	4	6	2	0	6	12	19	8	8	10.53%	1	131	21.97	1	0	1	3	32	1	9	1	0	29.41%	17	1	3	0.91	0	0	0
3	Dustin Byfuglien	Jets	D	6	2	3	5	-1	8	13	11	16	3	8	12.50%	8	174	29.15	0	0	0	5	38	0	12	1	1	0.00%	0	3	5	0.57	0	1	0
4	Gabriel Landeskog	Jets	LW	6	3	2	5	2	2	11	9	25	7	14	12.00%	0	141	23.54	2	1	3	7	32	1	16	0	0	84.62%	13	5	2	0.71	1	0	1
5	Rasmus Ristolainen	Jets	D	6	2	2	4	-2	2	12	9	10	2	6	20.00%	8	158	26.48	0	1	1	1	38	0	16	0	1	0.00%	0	1	3	0.50	0	0	1
6	Brendan Leipsic	Jets	LW/RW	6	1	1	2	-2	0	9	5	15	4	7	6.67%	0	79	13.26	0	0	0	0	0	0	5	1	0	50.00%	4	1	1	0.50	0	1	0
7	Jesper Bratt	Jets	LW/RW	6	0	2	2	-1	0	3	5	11	5	4	0.00%	1	99	16.63	0	0	0	1	23	0	0	0	0	50.00%	4	4	0	0.40	0	0	0
8	Pierre-Luc Dubois	Jets	C	6	1	1	2	-2	8	10	10	18	5	15	5.56%	3	109	18.22	0	1	1	3	23	0	7	0	0	53.09%	81	0	1	0.37	0	0	0
9	Tomas Hertl	Jets	C/LW	6	1	1	2	-1	0	4	4	14	2	12	7.14%	2	99	16.61	1	0	1	2	23	0	0	0	0	100.00%	3	4	1	0.40	0	0	0
10	Matt Dumba	Jets	D	6	0	1	1	0	2	3	0	8	2	4	0.00%	3	63	10.52	0	0	0	0	0	0	0	0	0	0.00%	0	2	0	0.32	0	0	0
11	Travis Zajac	Jets	C	6	0	1	1	-4	2	2	4	10	7	9	0.00%	2	74	12.36	0	0	0	0	0	0	0	0	0	65.22%	46	2	0	0.27	0	0	0
12	Noah Juulsen	Jets	D	6	0	1	1	0	0	2	7	3	2	1	0.00%	3	69	11.59	0	0	0	0	0	0	7	0	0	0.00%	0	0	2	0.29	0	0	0
13	Alex Goligoski	Jets	D	6	0	0	0	0	0	4	7	3	1	0	0.00%	9	120	20.08	0	0	0	0	17	0	15	0	0	0.00%	0	2	7	0.00	0	0	0
14	Derek Ryan	Jets	C	6	0	0	0	1	2	0	5	2	1	0	0.00%	0	38	6.34	0	0	0	0	0	0	1	0	0	55.56%	18	0	0	0.00	0	0	0
15	Devin Shore	Jets	C/LW	6	0	0	0	1	2	0	2	1	1	0	0.00%	0	31	5.26	0	0	0	0	0	0	0	0	0	0.00%	0	1	0	0.00	0	0	0
16	Mark Pysyk	Jets	D	6	0	0	0	1	0	0	0	0	0	0	0.00%	1	22	3.75	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0
17	Nikita Zadorov	Jets	D	6	0	0	0	-1	10	10	6	8	0	4	0.00%	5	114	19.03	0	0	0	0	17	0	12	0	0	0.00%	0	2	4	0.00	0	0	0
18	Tage Thompson	Jets	LW/RW	6	0	0	0	-4	2	7	1	15	1	4	0.00%	5	78	13.10	0	0	0	0	0	0	6	0	0	50.00%	4	1	2	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				108	15	25	40	-7	40	104	114	208	67	116	7.21%	55	1769	16.38	4	6	10	26	281	2	130	3	2	57.32%	410	38	32	0.45	3	2	2

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du 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	Mikko Koskinen	Jets	6	3	3	0	0.927	2.17	360	2	0	13	177	82	0	1	0.000	0	6	0	0	2	0
Stats d'équipe Total ou en Moyenne			6	3	3	0	0.927	2.17	360	2	0	13	177	82	0	1	0.000	0	6	0	0	2	0

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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	Link
Aleksander Barkov	Jets	C	22	1995-09-02	No	213 Lbs	6 ft3	No	No	No	3	Contrat d'Entrée	Pro & Farm	5,900,000$	5,900,000$	5,431,746$	No	Lien
Alex Goligoski	Jets	D	32	1985-07-30	No	185 Lbs	5 ft11	No	No	No	2	Sans Restriction	Pro & Farm	5,475,000$	5,475,000$	5,040,476$	No	Lien
Andrew Cogliano	Jets	C/LW	30	1987-06-14	No	177 Lbs	5 ft10	No	No	No	2	Sans Restriction	Pro & Farm	3,250,000$	3,250,000$	2,992,063$	No	Lien
Brendan Leipsic	Jets	LW/RW	23	1994-05-19	No	182 Lbs	5 ft10	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	750,000$	690,476$	No	Lien
Craig Anderson	Jets	G	36	1981-05-21	No	185 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	1,175,000$	1,175,000$	1,081,746$	No	Lien
Derek Ryan	Jets	C	30	1986-12-29	No	185 Lbs	5 ft10	No	No	No	2	Sans Restriction	Pro & Farm	3,125,000$	3,125,000$	2,876,984$	No	Lien
Devin Shore	Jets	C/LW	23	1994-07-19	No	205 Lbs	6 ft1	No	No	No	1	Contrat d'Entrée	Pro & Farm	2,300,000$	2,300,000$	2,117,460$	No	Lien
Dustin Byfuglien	Jets	D	32	1985-03-27	No	260 Lbs	6 ft5	No	No	No	2	Sans Restriction	Pro & Farm	7,600,000$	7,600,000$	6,996,825$	No	Lien
Gabriel Landeskog	Jets	LW	24	1992-11-23	No	215 Lbs	6 ft1	No	No	No	2	Contrat d'Entrée	Pro & Farm	5,571,428$	5,571,428$	5,129,251$	No	Lien
Gustav Nyquist	Jets	LW/RW	28	1989-09-01	No	184 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	5,500,000$	5,500,000$	5,063,492$	No	Lien
Jesper Bratt	Jets	LW/RW	19	1998-07-30	No	175 Lbs	5 ft10	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	750,000$	690,476$	No	Lien
Mark Pysyk	Jets	D	25	1992-01-11	No	200 Lbs	6 ft1	No	No	No	1	Contrat d'Entrée	Pro & Farm	2,733,333$	2,733,333$	2,516,402$	No	Lien
Matt Dumba	Jets	D	23	1994-07-25	No	182 Lbs	6 ft0	No	No	No	4	Contrat d'Entrée	Pro & Farm	6,000,000$	6,000,000$	5,523,810$	No	Lien
Mikko Koskinen	Jets	G	29	1988-07-18	No	202 Lbs	6 ft7	No	No	No	3	Sans Restriction	Pro & Farm	3,575,000$	3,575,000$	3,291,270$	No	Lien
Nikita Zadorov	Jets	D	22	1995-04-16	No	230 Lbs	6 ft5	No	No	No	1	Contrat d'Entrée	Pro & Farm	3,200,000$	3,200,000$	2,946,032$	No	Lien
Noah Juulsen	Jets	D	20	1997-04-02	No	193 Lbs	6 ft2	No	No	No	1	Contrat d'Entrée	Pro & Farm	1,063,333$	1,063,333$	978,941$	No	Lien
Pierre-Luc Dubois	Jets	C	19	1998-06-24	No	207 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	894,166$	894,166$	823,200$	No	Lien
Rasmus Ristolainen	Jets	D	22	1994-10-27	No	215 Lbs	6 ft4	No	No	No	3	Contrat d'Entrée	Pro & Farm	5,400,000$	5,400,000$	4,971,429$	No	Lien
Tage Thompson	Jets	LW/RW	19	1997-10-30	No	205 Lbs	6 ft6	No	No	No	1	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	851,587$	No	Lien
Tomas Hertl	Jets	C/LW	23	1993-11-12	No	215 Lbs	6 ft2	No	No	No	3	Contrat d'Entrée	Pro & Farm	5,625,000$	5,625,000$	5,178,571$	No	Lien
Travis Zajac	Jets	C	32	1985-05-13	No	185 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	4,125,000$	4,125,000$	3,797,619$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	25.38	200 Lbs	6 ft2	1.81	3,568,441$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
74,937,260$	55,646,428$	26,500,000$	6,000,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Gabriel Landeskog	Aleksander Barkov	Gustav Nyquist	40	1	2	2
2	Tomas Hertl	Pierre-Luc Dubois	Jesper Bratt	30	1	2	2
3	Tage Thompson	Travis Zajac	Brendan Leipsic	20	1	2	2
4	Devin Shore	Derek Ryan	Aleksander Barkov	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dustin Byfuglien	Rasmus Ristolainen	40	1	2	2
2	Nikita Zadorov	Alex Goligoski	30	1	2	2
3	Matt Dumba	Noah Juulsen	20	1	2	2
4	Mark Pysyk	Dustin Byfuglien	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Gabriel Landeskog	Aleksander Barkov	Gustav Nyquist	60	1	2	2
2	Tomas Hertl	Pierre-Luc Dubois	Jesper Bratt	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dustin Byfuglien	Rasmus Ristolainen	60	1	2	2
2	Nikita Zadorov	Alex Goligoski	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	Gustav Nyquist	Pierre-Luc Dubois	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dustin Byfuglien	Rasmus Ristolainen	60	1	2	2
2	Nikita Zadorov	Alex Goligoski	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	Dustin Byfuglien	Rasmus Ristolainen	60	1	2	2
2	Gabriel Landeskog	40	1	2	2	Nikita Zadorov	Alex Goligoski	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	Gustav Nyquist	Pierre-Luc Dubois	40	1	2	2

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

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Gabriel Landeskog	Aleksander Barkov	Gustav Nyquist	Dustin Byfuglien	Rasmus Ristolainen

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Gabriel Landeskog	Aleksander Barkov	Gustav Nyquist	Dustin Byfuglien	Rasmus Ristolainen

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Travis Zajac, Derek Ryan, Tage Thompson	Travis Zajac, Derek Ryan	Tage Thompson

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Matt Dumba, Noah Juulsen, Mark Pysyk	Matt Dumba	Noah Juulsen, Mark Pysyk

Tirs de Pénalité
Aleksander Barkov, Gabriel Landeskog, Gustav Nyquist, Pierre-Luc Dubois, Tomas Hertl

Gardien
#1 : Mikko Koskinen, #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	2	0	1	0	1	0	0	0	5	5	0	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	5	7	12	0	0	1	2	1	1	66	19	27	18	2	37	18	12	37	10	2	20.00%	6	1	83.33%	0	107	188	56.91%	86	140	61.43%	42	76	55.26%	48	27	34	18	38	19
2	Blues	2	1	1	0	0	0	0	0	4	4	0	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	3	2	1	2	0.500	4	7	11	0	0	1	2	1	0	69	21	26	22	0	74	13	16	36	14	1	7.14%	8	1	87.50%	0	107	188	56.91%	86	140	61.43%	42	76	55.26%	45	24	39	18	35	19
3	Sharks	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	1	1	2	0	31	9	7	15	0	36	16	6	16	5	1	20.00%	3	0	100.00%	0	107	188	56.91%	86	140	61.43%	42	76	55.26%	23	14	20	7	16	9
4	Stars	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	1	0	0	1	1	0	42	11	11	20	0	31	8	8	15	5	0	0.00%	4	0	100.00%	0	107	188	56.91%	86	140	61.43%	42	76	55.26%	22	13	20	8	16	8
	Total	6	2	3	0	1	0	0	0	15	14	1	4	1	2	0	1	0	0	0	10	9	1	2	1	1	0	0	0	0	0	5	5	0	6	0.500	15	25	40	1	0	3	6	5	1	208	60	71	75	2	178	55	42	104	34	4	11.76%	21	2	90.48%	0	107	188	56.91%	86	140	61.43%	42	76	55.26%	140	79	114	53	107	56
	_Since Last GM Reset	6	2	3	0	1	0	0	0	15	14	1	4	1	2	0	1	0	0	0	10	9	1	2	1	1	0	0	0	0	0	5	5	0	6	0.500	15	25	40	1	0	3	6	5	1	208	60	71	75	2	178	55	42	104	34	4	11.76%	21	2	90.48%	0	107	188	56.91%	86	140	61.43%	42	76	55.26%	140	79	114	53	107	56
	_Vs Conference	6	2	3	0	1	0	0	0	15	14	1	4	1	2	0	1	0	0	0	10	9	1	2	1	1	0	0	0	0	0	5	5	0	6	0.500	15	25	40	1	0	3	6	5	1	208	60	71	75	2	178	55	42	104	34	4	11.76%	21	2	90.48%	0	107	188	56.91%	86	140	61.43%	42	76	55.26%	140	79	114	53	107	56
	_Vs Division	5	1	3	0	1	0	0	0	11	13	-2	3	0	2	0	1	0	0	0	6	8	-2	2	1	1	0	0	0	0	0	5	5	0	4	0.400	11	18	29	1	0	2	5	3	1	177	51	64	60	2	142	39	36	88	29	3	10.34%	18	2	88.89%	0	107	188	56.91%	86	140	61.43%	42	76	55.26%	116	65	94	46	90	47

			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
6	6	OTW1	15	25	40	208	178	55	42	104	1	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	3	1	0	0	0	15	14

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	2	1	0	0	0	10	9

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	5	5

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	3	1	0	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
34	4	11.76%	21	2	90.48%	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
60	71	75	2	3	6	5	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
107	188	56.91%	86	140	61.43%	42	76	55.26%

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
140	79	114	53	107	56

Derniers Match 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 - 2019-10-05	9	Jets	2	Avalanche	3	L		Sommaire du Match
4 - 2019-10-07	20	Stars	4	Jets	2	L		Sommaire du Match
5 - 2019-10-08	22	Jets	3	Blues	2	W		Sommaire du Match
8 - 2019-10-11	38	Sharks	1	Jets	4	W		Sommaire du Match
11 - 2019-10-14	56	Blues	2	Jets	1	L		Sommaire du Match
15 - 2019-10-18	76	Avalanche	2	Jets	3	W	X	Sommaire du Match
16 - 2019-10-19	83	Jets	-	Stars	-
19 - 2019-10-22	96	Jets	-	Predateurs	-
21 - 2019-10-24	105	Predateurs	-	Jets	-
25 - 2019-10-28	123	Blackhawks	-	Jets	-
27 - 2019-10-30	136	Jets	-	Blues	-
28 - 2019-10-31	147	Jets	-	Blackhawks	-
30 - 2019-11-02	156	Predateurs	-	Jets	-
33 - 2019-11-05	172	Kings	-	Jets	-
35 - 2019-11-07	186	Jets	-	Bruins	-
37 - 2019-11-09	195	Jets	-	Blackhawks	-
39 - 2019-11-11	201	Senateurs	-	Jets	-
41 - 2019-11-13	211	Jets	-	Bruins	-
44 - 2019-11-16	226	Ducks	-	Jets	-
46 - 2019-11-18	233	Jets	-	Flyers	-
48 - 2019-11-20	244	Jets	-	Blackhawks	-
50 - 2019-11-22	256	Blue Jackets	-	Jets	-
52 - 2019-11-24	263	Jets	-	Blue Jackets	-
54 - 2019-11-26	272	Jets	-	Predateurs	-
56 - 2019-11-28	283	Ducks	-	Jets	-
58 - 2019-11-30	299	Jets	-	Maple Leafs	-
60 - 2019-12-02	307	Blues	-	Jets	-
62 - 2019-12-04	320	Jets	-	Penguins	-
65 - 2019-12-07	330	Predateurs	-	Jets	-
67 - 2019-12-09	344	Jets	-	Predateurs	-
69 - 2019-12-11	354	Lightning	-	Jets	-
71 - 2019-12-13	366	Jets	-	Islanders	-
73 - 2019-12-15	375	Jets	-	Senateurs	-
74 - 2019-12-16	384	Stars	-	Jets	-
78 - 2019-12-20	401	Canadiens	-	Jets	-
80 - 2019-12-22	414	Jets	-	Panthers	-
82 - 2019-12-24	426	Flyers	-	Jets	-
86 - 2019-12-28	446	Devils	-	Jets	-
88 - 2019-12-30	458	Jets	-	Golden Knights	-
90 - 2020-01-01	466	Golden Knights	-	Jets	-
93 - 2020-01-04	484	Jets	-	Canadiens	-
94 - 2020-01-05	496	Maple Leafs	-	Jets	-
98 - 2020-01-09	515	Capitals	-	Jets	-
100 - 2020-01-11	525	Jets	-	Blues	-
102 - 2020-01-13	536	Islanders	-	Jets	-
103 - 2020-01-14	547	Jets	-	Capitals	-
106 - 2020-01-17	560	Penguins	-	Jets	-
110 - 2020-01-21	581	Bruins	-	Jets	-
113 - 2020-01-24	594	Jets	-	Blues	-
115 - 2020-01-26	604	Jets	-	Golden Knights	-
116 - 2020-01-27	610	Blackhawks	-	Jets	-
119 - 2020-01-30	628	Flames	-	Jets	-
121 - 2020-02-01	642	Jets	-	Stars	-
123 - 2020-02-03	651	Flames	-	Jets	-
125 - 2020-02-05	662	Jets	-	Devils	-
128 - 2020-02-08	675	Blues	-	Jets	-
130 - 2020-02-10	686	Jets	-	Lightning	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
133 - 2020-02-13	701	Sharks	-	Jets	-
137 - 2020-02-17	722	Jets	-	Kings	-
138 - 2020-02-18	726	Stars	-	Jets	-
141 - 2020-02-21	743	Jets	-	Stars	-
142 - 2020-02-22	748	Sharks	-	Jets	-
146 - 2020-02-26	771	Avalanche	-	Jets	-
148 - 2020-02-28	782	Jets	-	Sharks	-
150 - 2020-03-01	793	Avalanche	-	Jets	-
153 - 2020-03-04	808	Jets	-	Avalanche	-
155 - 2020-03-06	820	Panthers	-	Jets	-
157 - 2020-03-08	828	Jets	-	Kings	-
159 - 2020-03-10	837	Jets	-	Sharks	-
160 - 2020-03-11	844	Jets	-	Oilers	-
162 - 2020-03-13	851	Golden Knights	-	Jets	-
165 - 2020-03-16	869	Jets	-	Oilers	-
166 - 2020-03-17	874	Blackhawks	-	Jets	-
169 - 2020-03-20	892	Oilers	-	Jets	-
171 - 2020-03-22	900	Jets	-	Ducks	-
173 - 2020-03-24	916	Kings	-	Jets	-
174 - 2020-03-25	922	Jets	-	Avalanche	-
175 - 2020-03-26	926	Jets	-	Ducks	-
179 - 2020-03-30	943	Oilers	-	Jets	-
183 - 2020-04-03	955	Jets	-	Flames	-
184 - 2020-04-04	964	Kings	-	Jets	-
185 - 2020-04-05	970	Jets	-	Flames	-

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	22,471	11,949	4,094	11,321	3,844
Attendance PCT	93.63%	59.75%	51.18%	70.76%	96.10%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
37	13420 - 74.55%	1,595,930$	6,383,718$	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
6,026,760$	74,937,260$	74,874,760$	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
74,937,260$	5,947,395$	0$	21	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
59,049,392$	174	401,784$	69,910,416$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
71,264,208$	74,937,260$	7,595,032$	-4,619,784$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Gabriel Landeskog	AGE:24	PO:77	OV:85
Gustav Nyquist	AGE:28	PO:48	OV:79
Tomas Hertl	AGE:23	PO:79	OV:78
Jesper Bratt	AGE:19	PO:49	OV:73
Tage Thompson	AGE:19	PO:80	OV:71
Devin Shore	AGE:23	PO:65	OV:71
Brendan Leipsic	AGE:23	PO:61	OV:71
Filip Chytil	AGE:18	PO:84	OV:70
Brock McGinn	AGE:23	PO:70	OV:70
Andrew Cogliano	AGE:30	PO:50	OV:69
Stefan Noesen	AGE:24	PO:78	OV:67
Max Comtois	AGE:18	PO:78	OV:66
Janne Kuokkanen	AGE:19	PO:74	OV:63
Remi Elie	AGE:22	PO:73	OV:63

Aleksander Barkov	AGE:22	PO:88	OV:87
Pierre-Luc Dubois	AGE:19	PO:89	OV:79
Tomas Hertl	AGE:23	PO:79	OV:78
Travis Zajac	AGE:32	PO:53	OV:76
Derek Ryan	AGE:30	PO:26	OV:73
Devin Shore	AGE:23	PO:65	OV:71
Filip Chytil	AGE:18	PO:84	OV:70
Kyle Brodziak	AGE:33	PO:34	OV:70
Andrew Cogliano	AGE:30	PO:50	OV:69
Janne Kuokkanen	AGE:19	PO:74	OV:63

Gustav Nyquist	AGE:28	PO:48	OV:79
Jesper Bratt	AGE:19	PO:49	OV:73
Tage Thompson	AGE:19	PO:80	OV:71
Brendan Leipsic	AGE:23	PO:61	OV:71
Filip Chytil	AGE:18	PO:84	OV:70
Brock McGinn	AGE:23	PO:70	OV:70
Stefan Noesen	AGE:24	PO:78	OV:67

Défense #1

Défense #2

Gardien

Dustin Byfuglien	AGE:32	PO:36	OV:78
Rasmus Ristolainen	AGE:22	PO:84	OV:76
Nikita Zadorov	AGE:22	PO:82	OV:75
Matt Dumba	AGE:23	PO:84	OV:74
Alex Goligoski	AGE:32	PO:36	OV:74

Noah Juulsen	AGE:20	PO:80	OV:71
Mark Pysyk	AGE:25	PO:69	OV:71
Juuso Valimaki	AGE:18	PO:84	OV:68
Gustav Forsling	AGE:21	PO:68	OV:66

Mikko Koskinen	AGE:29	PO:61	OV:86
Craig Anderson	AGE:36	PO:27	OV:83
Tristan Jarry	AGE:22	PO:75	OV:75

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
Cole Caufield	Jets	3	8
Connor Timmins	Jets	2017	32
Dominic Moore	Jets
Jacob Olofsson	Jets	2018	43
Jason Robertson	Jets	2017	39
John Beecher	Jets	3	55
Kiefer Bellows	Jets	2016	19
Linus Karlsson	Jets	2018	115
Marcus Davidsson	Jets
Mattias Norlinder	Jets	3	79
Michael Cammalleri	Jets
Nolan Foote	Jets	3	31
Owen Tippett	Jets
Robert Mastrosimone	Jets	3	103
Shane Bowers	Jets
Ty Dellandrea	Jets	2018	12

Choix au Repêchage

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

[2019-10-02 21:41:10] - Moose hired Joe Sacco for 500 000 $ for 2 year(s).
[2019-09-26 21:59:54] - TRADE : From Islanders to Jets : Dustin Byfuglien (78).
[2019-09-26 21:59:34] - TRADE : From Jets to Senateurs : Y:4-RND:4-WPG.
[2019-09-26 21:59:34] - TRADE : From Senateurs to Jets : Gustav Nyquist (79).
[2019-09-20 21:37:46] - Mikko Koskinen was added to Jets.
[2019-09-16 21:53:25] - Cam Talbot was released.
[2019-09-16 21:53:25] - Jonathan Ericsson was released.
[2019-09-16 21:53:25] - Jason Pominville was released.
[2019-08-26 22:48:11] - Jets drafts Robert Mastrosimone as the #103 overall pick in the Entry Draft of year 3.
[2019-07-12 23:13:22] - Jets drafts Mattias Norlinder as the #79 overall pick in the Entry Draft of year 3.
[2019-07-03 23:43:00] - Jets drafts John Beecher as the #55 overall pick in the Entry Draft of year 3.
[2019-07-03 23:34:35] - Jets drafts Nolan Foote as the #31 overall pick in the Entry Draft of year 3.
[2019-07-01 15:15:21] - Jets drafts Cole Caufield as the #8 overall pick in the Entry Draft of year 3.
[2019-06-21 22:09:44] - Juuso Valimaki was added to Jets.
[2019-06-21 22:09:27] - Juuso Valimaki has been deleted from Jets.
[2019-06-21 22:02:31] - Maxim Comtois has been deleted from Jets.
[2019-06-21 22:02:21] - Max Comtois was added to Jets.
[2019-05-26 21:53:43] - Ron Wilson contract with Moose has ended.
[2019-04-19 21:22:29] - Moose was eliminated at round 1 of year 2.
[2019-04-03 21:21:12] - Jets didn't make playoff for year 2.
[2019-03-08 19:57:56] - New Record for Team's Most Hits (34) in 1 Game for Jets!
[2019-03-07 22:31:57] - New Record for Team's Most Points (19) in 1 Game for Jets!
[2019-03-07 22:31:57] - New Record for Team's Most Assists (12) in 1 Game for Jets!

[2019-10-16 21:32:08] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-14 21:49:22] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-14 21:49:20] Game 58 - Unknown Player from Moose is injured (Back Surgery) and is out for 1 month.
[2019-10-11 20:37:26] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-08 20:54:45] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-06 20:44:02] Moose lines for next game are empty. Current rosters/lines are not erased. But, Jets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-10-06 20:43:15] Auto Lines Function has been run for Jets.
[2019-10-06 20:42:51] Auto Roster Function has been run for Jets.
[2019-10-04 21:22:47] Moose lines for next game are empty. Current rosters/lines are not erased. But, Jets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-10-04 20:59:55] Auto Lines Function has been run for Jets.
[2019-10-04 20:59:46] Auto Roster Function has been run for Jets.
[2019-10-04 20:59:46] Brock McGinn of Jets was sent to farm.
[2019-10-04 20:59:46] Juuso Valimaki of Jets was sent to farm.
[2019-10-04 20:56:16] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:15] Both Jets and Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:15] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:14] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:12] Game 961 - Unknown Player from Moose is injured (Sprained Left Knee) and is out for 1 week.
[2019-10-04 20:56:10] Both Jets and Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:09] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:09] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:08] Jets lines for next game are empty. Current rosters/lines are not erased.

Pas de Blessure ou de Suspension.

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
3	6	2	3	0	1	0	0	0	15	14	1	4	1	2	0	1	0	0	0	10	9	1	2	1	1	0	0	0	0	0	5	5	0	6	15	25	40	1	0	3	6	5	1	208	60	71	75	2	178	55	42	104	34	4	11.76%	21	2	90.48%	0	107	188	56.91%	86	140	61.43%	42	76	55.26%	140	79	114	53	107	56
Total Saison Régulière	6	2	3	0	1	0	0	0	15	14	1	4	1	2	0	1	0	0	0	10	9	1	2	1	1	0	0	0	0	0	5	5	0	6	15	25	40	1	0	3	6	5	1	208	60	71	75	2	178	55	42	104	34	4	11.76%	21	2	90.48%	0	107	188	56.91%	86	140	61.43%	42	76	55.26%	140	79	114	53	107	56

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

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

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