LAAHS - Sharks

Worcester Sharks
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Stats d'équipe en Carrière

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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	Sidney Crosby (C)	X				100.00	76	44	86	91	72	86	98	88	97	99	90	63	75	82	89	86	80	81	0
2	Jonathan Huberdeau	X	X	X		100.00	69	42	85	83	69	80	93	91	56	98	87	67	65	69	70	84	80	77	0
3	Gabriel Landeskog (A)		X	X		100.00	81	55	80	84	79	87	93	97	85	82	89	59	53	73	74	85	82	77	0
4	Dylan Larkin	X	X	X		100.00	76	54	73	95	73	89	96	83	96	84	84	70	37	66	67	86	82	77	0
5	Teuvo Teravainen	X	X	X		100.00	63	41	94	85	64	78	99	81	38	95	75	71	25	65	67	79	84	74	0
6	Boone Jenner	X	X	X		100.00	86	46	84	84	76	75	93	73	96	72	71	83	75	69	70	78	82	73	0
7	Jonathan Drouin	X	X	X		100.00	69	43	89	87	73	75	96	80	41	81	73	61	61	65	67	75	82	72	0
8	Brandon Pirri	X	X	X		100.00	73	43	93	68	68	67	77	75	42	65	87	53	85	67	67	75	79	67	0
9	Andreas Johnsson		X			100.00	71	43	86	63	70	66	85	73	36	76	76	59	75	60	61	73	83	66	0
10	Colton Sceviour	X	X	X		100.00	80	55	91	75	70	63	85	59	43	63	60	83	59	68	69	67	82	66	0
11	Michael Raffl		X	X		100.00	79	44	85	76	73	59	89	60	37	64	59	76	63	67	68	67	82	65	0
12	Juho Lammikko	X	X	X		100.00	76	44	94	68	76	58	83	58	73	62	55	78	25	50	50	64	82	62	0
13	Alex Pietrangelo (A)				X	100.00	73	43	90	85	75	90	92	81	25	70	64	84	25	77	80	73	81	76	0
14	Justin Faulk				X	100.00	84	55	83	87	78	85	96	80	25	61	52	77	25	71	72	70	82	74	0
15	Zach Werenski				X	100.00	71	43	92	90	76	87	97	78	25	68	62	74	25	60	61	70	81	73	0
16	Justin Braun				X	100.00	81	55	86	82	77	81	97	58	25	54	48	88	25	73	76	66	83	73	0
17	Mark Borowiecki				X	100.00	99	99	55	68	79	68	70	60	25	52	49	89	25	65	66	63	79	69	0
18	Shea Theodore				X	100.00	61	41	91	84	73	80	91	80	25	66	57	66	75	59	61	68	79	68	0
Rayé
1	Mirco Mueller				X	100.00	79	56	89	68	79	75	61	63	25	51	47	83	25	57	58	63	35	66	0

	MOYENNE D'ÉQUIPE					100.00	76	50	86	80	74	76	89	75	48	72	68	73	49	66	68	73	79	71

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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	Darcy Kuemper	100.00	87	72	71	89	87	86	75	85	90	87	70	62	63	83	80	80	0
2	Jake Allen	100.00	72	82	79	78	72	72	62	74	75	72	91	65	66	73	82	71	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	80	77	75	84	80	79	69	80	83	80	81	64	65	78	81	76

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
David Quinn	93	66	68	55	65	46	66	USA	52	3	755,000$

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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	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	P/20	FW	FT	S1	S2	S3
1	Sidney Crosby	Sharks	C	14	2	18	20	7	2	0	8	27	42	14	36	4.76%	6	272	19.46	0	1	1	0	22	0	0	0	1	64.09%	323	9	5	0	1.47	0	0	0	3	1
2	Jonathan Huberdeau	Sharks	C/LW/RW	14	10	6	16	7	2	0	9	14	72	14	31	13.89%	12	278	19.90	1	1	2	5	24	0	2	3	0	30.00%	20	11	6	0	1.15	0	0	3	0	1
3	Teuvo Teravainen	Sharks	C/LW/RW	14	9	3	12	1	5	5	8	9	35	11	22	25.71%	5	245	17.56	0	1	1	0	19	0	0	1	1	30.77%	13	11	0	0	0.98	1	0	0	2	0
4	Gabriel Landeskog	Sharks	LW/RW	14	8	3	11	7	11	5	28	10	33	9	29	24.24%	8	268	19.18	1	0	1	1	20	0	0	1	0	60.00%	20	5	3	0	0.82	0	1	0	1	2
5	Dylan Larkin	Sharks	C/LW/RW	14	0	9	9	2	8	0	30	23	41	11	25	0.00%	2	253	18.12	0	0	0	3	22	0	0	0	0	54.42%	226	13	5	0	0.71	0	0	0	0	0
6	Boone Jenner	Sharks	C/LW/RW	14	2	7	9	5	2	0	26	26	31	16	27	6.45%	7	211	15.08	0	0	0	0	5	0	24	1	0	58.78%	131	13	5	0	0.85	0	0	1	0	0
7	Jonathan Drouin	Sharks	C/LW/RW	14	2	4	6	2	2	0	18	11	26	11	10	7.69%	6	251	18.00	0	0	0	0	15	0	1	1	0	30.00%	20	6	3	0	0.48	0	0	0	0	0
8	Brandon Pirri	Sharks	C/LW/RW	14	6	0	6	5	2	0	8	7	16	6	8	37.50%	5	178	12.73	0	0	0	0	0	0	0	0	0	40.00%	10	3	4	0	0.67	0	0	0	0	0
9	Alex Pietrangelo	Sharks	D	14	0	4	4	-1	0	0	14	19	32	17	13	0.00%	15	331	23.71	0	0	0	0	26	1	28	0	0	0.00%	0	11	14	0	0.24	0	0	0	0	0
10	Mark Borowiecki	Sharks	D	14	0	4	4	7	16	0	23	13	12	3	4	0.00%	19	254	18.18	0	0	0	0	0	0	16	0	0	0.00%	0	2	9	0	0.31	0	0	1	0	0
11	Andreas Johnsson	Sharks	LW	14	1	3	4	5	0	0	10	6	19	11	8	5.26%	0	177	12.67	0	0	0	0	0	0	0	0	0	55.56%	9	5	2	1	0.45	0	0	0	0	1
12	Justin Braun	Sharks	D	14	0	3	3	-2	2	0	20	18	16	5	9	0.00%	27	285	20.42	0	0	0	0	0	2	25	0	0	0.00%	0	2	11	0	0.21	0	0	1	0	0
13	Michael Raffl	Sharks	LW/RW	14	0	2	2	-5	0	0	15	7	19	10	13	0.00%	8	129	9.26	0	0	0	0	0	0	22	0	0	20.00%	5	1	2	0	0.31	0	0	0	0	0
14	Justin Faulk	Sharks	D	14	0	2	2	2	10	0	16	19	15	4	6	0.00%	15	301	21.57	0	0	0	0	18	0	16	0	0	0.00%	0	4	15	0	0.13	0	0	0	0	1
15	Shea Theodore	Sharks	D	14	0	2	2	10	0	0	2	7	17	8	3	0.00%	16	252	18.05	0	0	0	0	24	0	0	0	0	0.00%	0	7	7	0	0.16	0	0	0	0	1
16	Zach Werenski	Sharks	D	14	0	1	1	-1	2	0	13	20	22	8	16	0.00%	19	292	20.92	0	0	0	0	18	1	9	0	0	0.00%	0	7	9	0	0.07	0	0	0	0	0
17	Colton Sceviour	Sharks	C/LW/RW	14	1	0	1	-6	2	0	12	13	20	3	15	5.00%	0	131	9.36	0	0	0	0	0	0	22	0	0	50.00%	6	2	3	0	0.15	0	0	0	0	0
18	Juho Lammikko	Sharks	C/LW/RW	14	0	0	0	-5	0	0	5	6	9	2	3	0.00%	6	130	9.32	0	0	0	0	1	0	21	0	0	40.00%	65	0	3	0	0.00	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				252	41	71	112	40	66	10	265	255	477	163	278	8.60%	176	4248	16.86	2	3	5	9	221	4	190	7	2	55.90%	848	112	106	1	0.53	1	1	6	6	7

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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	GA	SA	SAR	EG	ST	BG	S1	S2
1	Darcy Kuemper	Sharks	13	6	4	3	0.924	2.54	756	2	32	420	208	2	13	1	2	1
2	Jake Allen	Sharks	2	1	0	0	0.951	1.77	102	0	3	61	39	0	1	13	0	1
Stats d'équipe Total ou en Moyenne			15	7	4	3	0.927	2.45	858	2	35	481	247	2	14	14	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 Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Alex Pietrangelo	Sharks	D	28	1990-01-18	No	210 Lbs	5 ft11	No	No	No	1	Pro & Farm	6,500,000$	6,500,000$	0$	No				Lien
Andreas Johnsson	Sharks	LW	23	1994-11-21	No	190 Lbs	6 ft0	No	No	No	4	Pro & Farm	3,400,000$	3,400,000$	0$	No	3,400,000$	3,400,000$	3,400,000$	Lien
Boone Jenner	Sharks	C/LW/RW	25	1993-06-14	No	206 Lbs	6 ft2	No	No	No	3	Pro & Farm	3,750,000$	3,750,000$	0$	No	3,750,000$	3,750,000$		Lien
Brandon Pirri	Sharks	C/LW/RW	27	1991-04-10	No	186 Lbs	6 ft0	No	No	No	2	Pro & Farm	775,000$	775,000$	0$	No	775,000$			Lien
Colton Sceviour	Sharks	C/LW/RW	29	1989-04-20	No	195 Lbs	5 ft10	No	No	No	2	Pro & Farm	1,200,000$	1,200,000$	0$	No	1,200,000$			Lien
Darcy Kuemper	Sharks	G	28	1990-05-04	No	215 Lbs	6 ft5	No	No	No	1	Pro & Farm	1,850,000$	1,850,000$	0$	No				Lien
Dylan Larkin	Sharks	C/LW/RW	21	1996-07-30	No	198 Lbs	6 ft1	No	No	No	3	Pro & Farm	6,100,000$	6,100,000$	0$	No	6,100,000$	6,100,000$		Lien
Gabriel Landeskog	Sharks	LW/RW	25	1992-11-23	No	215 Lbs	6 ft1	No	No	No	2	Pro & Farm	5,571,429$	5,571,429$	0$	No	5,571,429$			Lien
Jake Allen	Sharks	G	27	1990-08-07	No	203 Lbs	6 ft2	No	No	No	2	Pro & Farm	4,350,000$	4,350,000$	0$	No	4,350,000$			Lien
Jonathan Drouin	Sharks	C/LW/RW	23	1995-03-28	No	203 Lbs	6 ft0	No	No	No	3	Pro & Farm	5,500,000$	5,500,000$	0$	No	5,500,000$	5,500,000$		Lien
Jonathan Huberdeau	Sharks	C/LW/RW	25	1993-06-04	No	188 Lbs	6 ft1	No	No	No	3	Pro & Farm	5,900,000$	5,900,000$	0$	No	5,900,000$	5,900,000$		Lien
Juho Lammikko	Sharks	C/LW/RW	22	1996-01-29	No	207 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	No				Lien
Justin Braun	Sharks	D	31	1987-02-10	No	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	3,800,000$	3,800,000$	0$	No				Lien
Justin Faulk	Sharks	D	26	1992-03-20	No	215 Lbs	6 ft0	No	No	No	1	Pro & Farm	4,833,333$	4,833,333$	0$	No				Lien
Mark Borowiecki	Sharks	D	28	1989-07-12	No	207 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,200,000$	1,200,000$	0$	No				Lien
Michael Raffl	Sharks	LW/RW	29	1988-11-30	No	200 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,600,000$	1,600,000$	0$	No	1,600,000$			Lien
Mirco Mueller	Sharks	D	23	1995-03-21	No	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,400,000$	1,400,000$	0$	No				Lien
Shea Theodore	Sharks	D	22	1995-08-03	No	195 Lbs	6 ft2	No	No	No	4	Pro & Farm	5,200,000$	5,200,000$	0$	No	5,200,000$	5,200,000$	5,200,000$	Lien
Sidney Crosby	Sharks	C	30	1987-08-07	No	200 Lbs	5 ft11	No	No	No	3	Pro & Farm	8,700,000$	8,700,000$	0$	No	8,700,000$	8,700,000$		Lien
Teuvo Teravainen	Sharks	C/LW/RW	23	1994-09-11	No	178 Lbs	5 ft11	No	No	No	4	Pro & Farm	5,400,000$	5,400,000$	0$	No	5,400,000$	5,400,000$	5,400,000$	Lien
Zach Werenski	Sharks	D	20	1997-07-19	No	209 Lbs	6 ft2	No	No	No	3	Pro & Farm	5,000,000$	5,000,000$	0$	No	5,000,000$	5,000,000$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	25.48	202 Lbs	6 ft1	2.24	3,941,893$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
82,779,762$	62,446,429$	48,950,000$	14,000,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Gabriel Landeskog	Sidney Crosby	Jonathan Huberdeau	39	0	2	3
2	Teuvo Teravainen	Dylan Larkin	Jonathan Drouin	38	0	2	3
3	Andreas Johnsson	Boone Jenner	Brandon Pirri	19	0	2	3
4	Colton Sceviour	Juho Lammikko	Michael Raffl	4	0	2	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alex Pietrangelo	Justin Faulk	34	0	4	1
2	Zach Werenski	Justin Braun	33	0	4	1
3	Mark Borowiecki	Shea Theodore	31	0	4	1
4	Mark Borowiecki	Alex Pietrangelo	2	0	4	1

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jonathan Huberdeau	Sidney Crosby	Dylan Larkin	54	0	1	4
2	Teuvo Teravainen	Gabriel Landeskog	Jonathan Huberdeau	46	0	1	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alex Pietrangelo	Shea Theodore	54	0	3	2
2	Zach Werenski	Justin Faulk	46	0	3	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Boone Jenner	Colton Sceviour	50	0	4	1
2	Juho Lammikko	Michael Raffl	50	0	4	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Borowiecki	Alex Pietrangelo	50	0	4	1
2	Justin Braun	Justin Faulk	50	0	4	1

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Boone Jenner	55	0	5	0	Alex Pietrangelo	Justin Faulk	55	0	5	0
2	Colton Sceviour	45	0	5	0	Justin Braun	Mark Borowiecki	45	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sidney Crosby	Jonathan Huberdeau	50	0	2	3
2	Gabriel Landeskog	Dylan Larkin	50	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alex Pietrangelo	Justin Faulk	50	0	4	1
2	Mark Borowiecki	Justin Braun	50	0	4	1

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jonathan Huberdeau	Sidney Crosby	Gabriel Landeskog	Alex Pietrangelo	Justin Braun

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jonathan Huberdeau	Boone Jenner	Gabriel Landeskog	Alex Pietrangelo	Justin Braun

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jonathan Drouin, Sidney Crosby, Jonathan Huberdeau	Sidney Crosby, Gabriel Landeskog	Michael Raffl

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Alex Pietrangelo, Zach Werenski, Justin Faulk	Alex Pietrangelo	Justin Braun, Alex Pietrangelo

Tirs de Pénalité
Sidney Crosby, Jonathan Huberdeau, Gabriel Landeskog, Dylan Larkin, Teuvo Teravainen

Gardien
#1 : Darcy Kuemper, #2 : Jake Allen

Lignes d'Attaque Perso. en Prol.
Sidney Crosby, Jonathan Huberdeau, Gabriel Landeskog, Dylan Larkin, Teuvo Teravainen, Boone Jenner, Boone Jenner, Jonathan Drouin, Colton Sceviour, Michael Raffl, Andreas Johnsson

Lignes de Défense Perso. en Prol.
Alex Pietrangelo, Justin Braun, Zach Werenski, Justin Faulk, Mark Borowiecki

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	Canadiens	7	3	4	0	0	0	0	0	21	22	-1	4	1	3	0	0	0	0	0	13	14	-1	3	2	1	0	0	0	0	0	8	8	0	6	0.429	21	40	61	1	0	4	10	6	1	239	77	96	63	3	247	86	44	117	13	1	7.69%	17	4	76.47%	0	185	332	55.72%	174	318	54.72%	115	198	58.08%	149	88	152	61	119	59
2	Red Wings	7	4	3	0	0	0	0	0	20	15	5	4	4	0	0	0	0	0	0	17	7	10	3	0	3	0	0	0	0	0	3	8	-5	8	0.571	20	31	51	1	0	6	5	9	0	238	83	73	73	9	236	90	24	148	12	1	8.33%	12	2	83.33%	0	185	332	55.72%	174	318	54.72%	115	198	58.08%	158	95	150	64	128	63
	Total	14	7	7	0	0	0	0	0	41	37	4	8	5	3	0	0	0	0	0	30	21	9	6	2	4	0	0	0	0	0	11	16	-5	14	0.500	41	71	112	2	0	10	15	15	1	477	160	169	136	12	483	176	68	265	25	2	8.00%	29	6	79.31%	0	185	332	55.72%	174	318	54.72%	115	198	58.08%	308	184	302	126	248	122
	_Since Last GM Reset	14	7	7	0	0	0	0	0	41	37	4	8	5	3	0	0	0	0	0	30	21	9	6	2	4	0	0	0	0	0	11	16	-5	14	0.500	41	71	112	2	0	10	15	15	1	477	160	169	136	12	483	176	68	265	25	2	8.00%	29	6	79.31%	0	185	332	55.72%	174	318	54.72%	115	198	58.08%	308	184	302	126	248	122
	_Vs Conference	14	7	7	0	0	0	0	0	41	37	4	8	5	3	0	0	0	0	0	30	21	9	6	2	4	0	0	0	0	0	11	16	-5	14	0.500	41	71	112	2	0	10	15	15	1	477	160	169	136	12	483	176	68	265	25	2	8.00%	29	6	79.31%	0	185	332	55.72%	174	318	54.72%	115	198	58.08%	308	184	302	126	248	122
	_Vs Division	14	7	7	0	0	0	0	0	41	37	4	8	5	3	0	0	0	0	0	30	21	9	6	2	4	0	0	0	0	0	11	16	-5	14	0.500	41	71	112	2	0	10	15	15	1	477	160	169	136	12	483	176	68	265	25	2	8.00%	29	6	79.31%	0	185	332	55.72%	174	318	54.72%	115	198	58.08%	308	184	302	126	248	122

			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
14	14	OTL1	41	71	112	477	483	176	68	265	2	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	7	7	0	0	0	0	41	37

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	3	0	0	0	0	30	21

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	4	0	0	0	0	11	16

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	3	1	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
25	2	8.00%	29	6	79.31%	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
160	169	136	12	10	15	15	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
185	332	55.72%	174	318	54.72%	115	198	58.08%

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
308	184	302	126	248	122

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
1 - 2019-10-04	3	Red Wings	1	Sharks	3	W		Sommaire du Match
2 - 2019-10-05	11	Red Wings	1	Sharks	4	W		Sommaire du Match
3 - 2019-10-06	19	Sharks	1	Red Wings	3	L		Sommaire du Match
4 - 2019-10-07	27	Sharks	1	Red Wings	2	L	X	Sommaire du Match
5 - 2019-10-08	35	Red Wings	1	Sharks	3	W		Sommaire du Match
6 - 2019-10-09	43	Sharks	1	Red Wings	3	L		Sommaire du Match
7 - 2019-10-10	51	Red Wings	4	Sharks	7	W		Sommaire du Match
8 - 2019-10-11	58	Canadiens	5	Sharks	3	L		Sommaire du Match
9 - 2019-10-12	62	Canadiens	3	Sharks	6	W		Sommaire du Match
10 - 2019-10-13	66	Sharks	3	Canadiens	2	W	X	Sommaire du Match
11 - 2019-10-14	70	Sharks	4	Canadiens	1	W		Sommaire du Match
12 - 2019-10-15	74	Canadiens	3	Sharks	2	L	X	Sommaire du Match
13 - 2019-10-16	78	Sharks	1	Canadiens	5	L		Sommaire du Match
14 - 2019-10-17	82	Canadiens	3	Sharks	2	L	X	Sommaire du Match

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	60	35	20	200
Assistance	46,849	40,000	16,000	32,000	7,361
Attendance PCT	97.60%	100.00%	100.00%	100.00%	92.01%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
33	17776 - 98.76%	1,817,260$	14,538,079$	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
0$	82,779,762$	77,779,762$	0$	400,000$

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
0$	0$	0$	21	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	0$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	53,863,228$	53,863,228$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Dylan Larkin	AGE:21	PO:86	OV:77
Gabriel Landeskog	AGE:25	PO:85	OV:77
Jonathan Huberdeau	AGE:25	PO:84	OV:77
Teuvo Teravainen	AGE:23	PO:79	OV:74
Boone Jenner	AGE:25	PO:78	OV:73
Jonathan Drouin	AGE:23	PO:75	OV:72
Brandon Pirri	AGE:27	PO:75	OV:67
Andreas Johnsson	AGE:23	PO:73	OV:66
Colton Sceviour	AGE:29	PO:67	OV:66
Michael Raffl	AGE:29	PO:67	OV:65
Kenny Agostino	AGE:26	PO:67	OV:64
Juho Lammikko	AGE:22	PO:64	OV:62
Brian Gibbons	AGE:30	PO:66	OV:61
Remi Elie	AGE:23	PO:64	OV:61
John McCarthy	AGE:31	PO:63	OV:60
David Gust	AGE:24	PO:62	OV:58
*Nikita Jevpalovs	AGE:23	PO:60	OV:57
Garret Ross	AGE:26	PO:55	OV:53

Sidney Crosby	AGE:30	PO:86	OV:81
Dylan Larkin	AGE:21	PO:86	OV:77
Jonathan Huberdeau	AGE:25	PO:84	OV:77
Teuvo Teravainen	AGE:23	PO:79	OV:74
Boone Jenner	AGE:25	PO:78	OV:73
Jonathan Drouin	AGE:23	PO:75	OV:72
Brandon Pirri	AGE:27	PO:75	OV:67
Colton Sceviour	AGE:29	PO:67	OV:66
*Robert Thomas	AGE:18	PO:68	OV:64
Juho Lammikko	AGE:22	PO:64	OV:62
Brian Gibbons	AGE:30	PO:66	OV:61
Travis Boyd	AGE:24	PO:65	OV:61
John McCarthy	AGE:31	PO:63	OV:60
Corban Knight	AGE:27	PO:62	OV:60
*Garrett Pilon	AGE:20	PO:61	OV:59
Jim O'Brien	AGE:29	PO:56	OV:57
Brady Brassart	AGE:25	PO:56	OV:57
*Hudson Elynuik	AGE:20	PO:52	OV:51

Dylan Larkin	AGE:21	PO:86	OV:77
Gabriel Landeskog	AGE:25	PO:85	OV:77
Jonathan Huberdeau	AGE:25	PO:84	OV:77
Teuvo Teravainen	AGE:23	PO:79	OV:74
Boone Jenner	AGE:25	PO:78	OV:73
Jonathan Drouin	AGE:23	PO:75	OV:72
Brandon Pirri	AGE:27	PO:75	OV:67
Colton Sceviour	AGE:29	PO:67	OV:66
Michael Raffl	AGE:29	PO:67	OV:65
Juho Lammikko	AGE:22	PO:64	OV:62
Brian Gibbons	AGE:30	PO:66	OV:61
Travis Boyd	AGE:24	PO:65	OV:61
*Nikita Jevpalovs	AGE:23	PO:60	OV:57
Jim O'Brien	AGE:29	PO:56	OV:57
Reid Gardiner	AGE:22	PO:53	OV:52

Défense #1

Défense #2

Gardien

Alex Pietrangelo	AGE:28	PO:73	OV:76
Justin Faulk	AGE:26	PO:70	OV:74
Zach Werenski	AGE:20	PO:70	OV:73
Justin Braun	AGE:31	PO:66	OV:73
Mark Borowiecki	AGE:28	PO:63	OV:69
Shea Theodore	AGE:22	PO:68	OV:68
Christian Wolanin	AGE:23	PO:65	OV:66
Mirco Mueller	AGE:23	PO:63	OV:66
Brett Kulak	AGE:24	PO:63	OV:65

Darren Raddysh	AGE:22	PO:56	OV:62
James de Haas	AGE:24	PO:52	OV:59
Frank Corrado	AGE:25	PO:53	OV:58
Emil Johansson	AGE:22	PO:52	OV:57
*Kristians Rubins	AGE:20	PO:52	OV:56
*Michael Prapavessis	AGE:22	PO:52	OV:55
*John Nyberg	AGE:21	PO:51	OV:55
Nelson Nogier	AGE:22	PO:50	OV:54
*Cooper Zech	AGE:19	PO:51	OV:53

Darcy Kuemper	AGE:28	PO:83	OV:80
Jake Allen	AGE:27	PO:73	OV:71
Eric Comrie	AGE:22	PO:62	OV:61
Joonas Korpisalo	AGE:24	PO:61	OV:61
*Dylan Wells	AGE:20	PO:58	OV:57
Jean-Francois Berube	AGE:26	PO:53	OV:53

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
Antti Tuomisto	Sharks	2019	57
BRENT GATES	Sharks	2015	95
Carson Meyer	Sharks	2017	158
Carter Berger	Sharks	2019	147
Connor Hall	Sharks	2016	85
Daniel Bukac	Sharks	2017	206
Dillon Hamaliuk	Sharks	2019	71
Ivan Prosvetov	Sharks	2018	149
Jacob Ragnarsson	Sharks	2018	89
Jasper Weatherby	Sharks	2018	119
Jeremy Davies	Sharks	2016	201
Judd Caulfield	Sharks	2019	132
Kale Howarth	Sharks	2017	164
Kevin Wall	Sharks	2019	207
Kristian Roykas-Marthinsen	Sharks	2017	176
Kyle Jenkins	Sharks	2014	193
Kyle Platzer	Sharks
Lauri Pajuniemi	Sharks	2018	164
Lukas Parik	Sharks	2019	87
Matej Blumel	Sharks	2019	107
Mitch Moroz	Sharks
Noel Hoefenmayer	Sharks	2017	116
Ostap Safin	Sharks	2017	59
Reid McNeill	Sharks
Robin Kovacs	Sharks
Ryan Lohin	Sharks	2016	205
Steven Spinner	Sharks	2014	147
Tanner Faith	Sharks	2014	163
Teemu Kivihalme	Sharks	2013	141
Tomas Vomacka	Sharks	2017	165
Ukko-Pekka Luukkonen	Sharks	2017	48
Viktor Lodin	Sharks	2019	117
kaprisov	Sharks	2018	29

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
2020	SJS	SJS	SJS	SJS		MTL SJS	SJS	SJS
2021	SJS	SJS	SJS	SJS	SJS	SJS	SJS	SJS
2022	SJS	SJS	SJS	SJS	SJS	SJS	SJS	SJS
2023	SJS	SJS	SJS	SJS	SJS	SJS	SJS	SJS
2024	SJS	SJS	SJS	SJS	SJS	SJS	SJS	SJS

[2020-05-19 13:08:08] - Sharks was eliminated at round 2 of year 2019.
[2020-05-06 18:51:42] - Worcester Sharks was eliminated at round 1 of year 2019.
[2020-02-08 16:03:41] - TRADE : From Sharks to Canadiens : Y:2020-RND:5-SJS.
[2020-02-08 16:03:41] - TRADE : From Canadiens to Sharks : Brandon Pirri (66).
[2020-02-08 16:02:45] - TRADE : From Sharks to Flyers : Chad Ruhwedel (64), Tyson Barrie (71), T.J. Hensick (61).
[2020-02-08 16:02:45] - TRADE : From Flyers to Sharks : Emil Johansson (57), Hudson Elynuik (51), Justin Faulk (74).
[2019-10-08 18:38:09] - Chris DiDomenico has been deleted from Sharks.
[2019-10-08 18:38:04] - Shawn Matthias has been deleted from Sharks.
[2019-10-07 17:31:52] - Worcester Sharks hired Derek Laxdal for 82 500 $ for 1 year(s).
[2019-10-07 17:31:37] - Worcester Sharks fired Derek Laxdal.
[2019-10-07 17:31:20] - Worcester Sharks hired Derek Laxdal for 60 000 $ for 1 year(s).
[2019-10-07 17:31:05] - Worcester Sharks fired Rick Bowness.
[2019-09-22 12:06:18] - Jeremy Smith was released.
[2019-09-22 12:06:18] - Micheal Haley was released.
[2019-09-22 11:48:05] - Reid Gardiner signed with Sharks for 650 000 $ for 1 year(s).
[2019-09-22 11:48:05] - Reid Gardiner was added to Sharks.
[2019-09-22 11:47:53] - Juho Lammikko signed with Sharks for 750 000 $ for 1 year(s).
[2019-09-22 11:47:53] - Juho Lammikko was added to Sharks.
[2019-09-22 11:47:39] - James de Haas signed with Sharks for 700 000 $ for 1 year(s).
[2019-09-22 11:47:39] - James de Haas was added to Sharks.
[2019-09-22 11:47:28] - Garret Ross signed with Sharks for 650 000 $ for 1 year(s).
[2019-09-22 11:47:28] - Garret Ross was added to Sharks.
[2019-09-22 11:47:20] - Frank Corrado signed with Sharks for 700 000 $ for 1 year(s).
[2019-09-22 11:47:20] - Frank Corrado was added to Sharks.
[2019-09-22 11:47:10] - David Gust signed with Sharks for 700 000 $ for 1 year(s).
[2019-09-22 11:47:10] - David Gust was added to Sharks.
[2019-09-22 11:47:03] - Corban Knight signed with Sharks for 700 000 $ for 1 year(s).
[2019-09-22 11:47:03] - Corban Knight was added to Sharks.
[2019-09-22 11:46:53] - Brady Brassart signed with Sharks for 700 000 $ for 1 year(s).
[2019-09-22 11:46:53] - Brady Brassart was added to Sharks.
[2019-09-22 11:46:36] - Eric Comrie signed with Sharks for 700 000 $ for 2 year(s).
[2019-09-22 11:46:36] - Eric Comrie was added to Sharks.
[2019-09-22 11:46:25] - Zach Werenski signed with Sharks for 5 000 000 $ for 3 year(s).
[2019-09-22 11:46:25] - Zach Werenski was added to Sharks.
[2019-09-08 15:33:03] - Sharks hired David Quinn for 755 000 $ for 3 year(s).

[2020-05-19 13:08:04] Successfully loaded Sharks lines done with STHS Client - 3.2.2.2
[2020-05-19 08:29:52] Successfully loaded Sharks lines done with STHS Client - 3.2.0.5
[2020-05-15 11:47:56] Successfully loaded Sharks lines done with STHS Client - 3.2.0.5
[2020-05-14 17:19:43] Successfully loaded Sharks lines done with STHS Client - 3.2.0.5
[2020-05-13 18:48:29] Successfully loaded Sharks lines done with STHS Client - 3.2.0.5
[2020-05-12 13:13:30] Successfully loaded Sharks lines done with STHS Client - 3.2.0.5
[2020-05-11 13:18:57] Successfully loaded Sharks lines done with STHS Client - 3.2.0.5
[2020-05-08 13:14:38] Last 7 Days Pro Star : 1 - Connor Hellebuyck of Golden Knights (0,934) / 2 - Darcy Kuemper of Sharks (0,940) / 3 - Robin Lehner of Canadiens (0,935)
[2020-05-08 13:14:32] Successfully loaded Sharks lines done with STHS Client - 3.2.0.5
[2020-05-06 18:51:32] Successfully loaded Sharks lines done with STHS Client - 3.2.0.5
[2020-05-05 16:27:59] Successfully loaded Sharks lines done with STHS Client - 3.2.0.5
[2020-05-04 16:34:23] Successfully loaded Sharks lines done with STHS Client - 3.2.0.5
[2020-04-30 19:01:08] Successfully loaded Sharks lines done with STHS Client - 3.2.0.5
[2020-04-28 19:28:38] Successfully loaded Sharks lines done with STHS Client - 3.2.0.5
[2020-04-27 19:34:31] Successfully loaded Sharks lines done with STHS Client - 3.2.0.5
[2020-04-22 17:04:13] Successfully loaded Sharks lines done with STHS Client - 3.2.0.5
[2020-04-15 16:54:07] Successfully loaded Sharks lines done with STHS Client - 3.2.0.5

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	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
Saison Régulière
2016	82	28	32	0	7	10	2	3	232	247	-15	41	17	13	0	3	6	1	1	131	123	8	41	11	19	0	4	4	1	2	101	124	-23	56	232	367	599	2	0	64	82	77	13	2535	823	863	823	45	2829	934	525	1687	184	43	23.37%	191	30	84.29%	3	782	1805	43.32%	850	2032	41.83%	471	1163	40.50%	1715	972	1775	737	1479	741
2017	82	39	28	0	5	5	1	4	262	245	17	41	19	16	0	2	1	0	3	122	125	-3	41	20	12	0	3	4	1	1	140	120	20	78	262	428	690	3	2	66	105	85	6	2891	927	1047	889	49	2791	1000	264	1587	234	49	20.94%	118	33	72.03%	1	886	1987	44.59%	829	1787	46.39%	541	1187	45.58%	1752	1035	1780	724	1431	717
2018	82	33	26	0	5	9	5	4	252	245	7	41	19	10	0	2	5	3	2	120	108	12	41	14	16	0	3	4	2	2	132	137	-5	66	252	413	665	3	1	78	73	91	12	2922	950	1009	935	54	2781	944	224	1669	232	51	21.98%	104	22	78.85%	0	1046	1999	52.33%	866	1692	51.18%	622	1219	51.03%	1859	1128	1704	695	1423	728
2019	82	40	19	0	8	6	3	6	247	216	31	41	21	9	0	3	4	1	3	127	105	22	41	19	10	0	5	2	2	3	120	111	9	114	247	400	647	2	1	59	94	83	14	2796	975	914	868	66	2764	936	260	1704	213	36	16.90%	105	22	79.05%	1	1000	1891	52.88%	1009	1895	53.25%	663	1172	56.57%	1844	1102	1700	702	1443	740
Total Saison Régulière	328	140	105	0	25	30	11	17	993	953	40	164	76	48	0	10	16	5	9	500	461	39	164	64	57	0	15	14	6	8	493	492	1	314	993	1608	2601	10	4	267	354	336	45	11144	3675	3833	3515	214	11165	3814	1273	6647	863	179	20.74%	518	107	79.34%	5	3714	7682	48.35%	3554	7406	47.99%	2297	4741	48.45%	7171	4237	6961	2860	5778	2927
2019	14	7	7	0	0	0	0	0	41	37	4	8	5	3	0	0	0	0	0	30	21	9	6	2	4	0	0	0	0	0	11	16	-5	14	41	71	112	2	0	10	15	15	1	477	160	169	136	12	483	176	68	265	25	2	8.00%	29	6	79.31%	0	185	332	55.72%	174	318	54.72%	115	198	58.08%	308	184	302	126	248	122
Total Séries	14	7	7	0	0	0	0	0	41	37	4	8	5	3	0	0	0	0	0	30	21	9	6	2	4	0	0	0	0	0	11	16	-5	14	41	71	112	2	0	10	15	15	1	477	160	169	136	12	483	176	68	265	25	2	8.00%	29	6	79.31%	0	185	332	55.72%	174	318	54.72%	115	198	58.08%	308	184	302	126	248	122