LAAHS - Golden Seals

Lake Erie Monsters
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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	TA	SP
1	Jonathan Toews (C)	X				100.00	65	42	85	83	75	86	95	88	97	87	84	69	90	81	88	84	77	78		0
2	Joe Pavelski (A)	X	X	X		100.00	73	43	90	75	70	80	96	82	93	74	89	68	68	83	89	83	77	75		0
3	William Karlsson	X				100.00	67	42	93	84	69	80	99	77	85	81	78	76	75	65	66	79	77	74		0
4	Max Domi	X	X			100.00	67	55	73	88	70	76	99	77	80	86	83	62	25	64	64	80	77	73		0
5	Jaden Schwartz		X	X		100.00	73	43	92	86	68	78	83	77	43	81	75	63	25	70	72	73	77	71		0
6	Tyler Toffoli	X	X	X		100.00	65	52	90	84	72	76	99	79	41	72	72	70	35	68	71	73	77	71		0
7	Ondrej Kase		X	X		100.00	67	42	97	86	68	72	65	80	37	75	81	57	75	55	56	77	77	69		0
8	Colin Wilson	X	X			100.00	71	44	95	79	80	65	78	75	39	68	71	61	42	75	77	71	77	68		0
9	Miles Wood		X	X		100.00	80	76	61	92	75	65	87	70	25	65	68	64	25	58	59	71	77	67		0
10	Ivan Barbashev	X	X			100.00	76	53	92	82	69	61	84	60	64	65	69	83	25	60	60	72	76	67		0
11	Nick Suzuki (R)	X		X		100.00	70	63	85	75	67	70	80	78	78	70	73	66	59	44	44	60	77	66		0
12	Mark Letestu	X		X		100.00	76	69	91	70	69	83	88	67	80	62	62	73	59	71	73	68	51	66		0
13	Keith Yandle (A)				X	100.00	67	42	82	88	72	86	99	92	25	80	51	67	25	81	84	69	77	74		0
14	Colton Parayko				X	100.00	81	56	93	87	88	87	98	68	25	58	52	83	45	66	67	69	77	74		0
15	Olli Maatta				X	100.00	81	45	93	86	76	76	88	65	25	57	47	88	25	65	68	66	77	73		0
16	Cody Ceci				X	100.00	81	45	91	80	76	86	95	61	25	58	48	90	25	70	71	68	77	73		0
17	Nate Schmidt				X	100.00	67	42	95	84	71	85	86	72	25	66	57	82	25	65	67	71	77	72	X	0
18	Robert Hagg				X	100.00	96	57	78	72	75	72	93	58	25	53	47	88	25	55	56	65	77	70		0
Rayé
1	Oskar Lindblom		X			100.00	71	43	91	77	71	67	96	69	33	66	77	74	25	55	56	73	51	67		0

	MOYENNE D'ÉQUIPE					100.00	73	50	88	82	73	76	90	73	50	70	68	73	42	66	68	72	74	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	Andrei Vasilevskiy	100.00	86	89	85	82	86	86	73	87	90	86	95	63	64	85	72	80	0
2	Patrik Rybar (R)	100.00	64	66	83	78	63	66	63	70	65	65	30	44	44	65	77	64	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	75	78	84	80	75	76	68	79	78	76	63	54	54	75	75	72

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Babcock	58	74	94	99	99	90	86	CAN	52	2	1,059,450$

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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	FO%	FOT	GA	TA	EG	P/20	S2	S3
1	Max Domi	Golden Seals	C/LW	11	3	6	9	2	4	15	13	51	15	28	5.88%	3	233	21.27	1	1	2	3	27	1	6	0	43.75%	16	12	8	0	0.77	0	1
2	Jonathan Toews	Golden Seals	C	11	5	4	9	2	0	20	18	49	19	16	10.20%	4	227	20.70	1	1	2	3	28	0	0	0	50.91%	330	11	4	0	0.79	2	1
3	Joe Pavelski	Golden Seals	C/LW/RW	11	3	4	7	2	0	9	19	25	8	15	12.00%	2	207	18.86	0	0	0	1	28	0	0	1	50.00%	20	1	4	0	0.67	1	0
4	William Karlsson	Golden Seals	C	11	1	5	6	-2	2	12	17	31	15	16	3.23%	2	194	17.70	0	0	0	2	25	0	7	1	45.57%	158	3	5	0	0.62	1	0
5	Jaden Schwartz	Golden Seals	LW/RW	11	2	3	5	-3	4	18	10	39	10	24	5.13%	6	194	17.69	1	0	1	4	25	0	8	1	21.43%	14	8	1	0	0.51	0	0
6	Nick Suzuki	Golden Seals	C/RW	11	0	4	4	-6	2	4	11	15	3	13	0.00%	4	126	11.47	0	0	0	0	0	0	3	0	52.54%	59	2	2	0	0.63	0	0
7	Colin Wilson	Golden Seals	C/LW	11	1	3	4	0	2	8	2	31	5	21	3.23%	2	98	8.96	0	0	0	0	0	0	1	0	66.67%	3	1	4	0	0.81	0	0
8	Keith Yandle	Golden Seals	D	11	1	3	4	-2	12	22	14	10	10	8	10.00%	12	252	23.00	0	0	0	0	34	0	1	0	0.00%	0	3	4	0	0.32	0	1
9	Ivan Barbashev	Golden Seals	C/LW	11	2	2	4	1	4	7	10	14	6	8	14.29%	1	116	10.60	0	0	0	0	0	0	19	0	52.31%	65	4	3	0	0.69	0	0
10	Colton Parayko	Golden Seals	D	11	0	3	3	-3	2	20	19	12	5	5	0.00%	16	244	22.26	0	0	0	0	19	0	14	0	0.00%	0	1	8	0	0.24	0	0
11	Nate Schmidt	Golden Seals	D	11	1	2	3	-5	0	9	18	16	3	5	6.25%	8	247	22.48	0	0	0	0	33	0	0	0	0.00%	0	2	10	0	0.24	0	0
12	Ondrej Kase	Golden Seals	LW/RW	11	2	1	3	-7	2	8	9	31	11	21	6.45%	6	165	15.08	0	1	1	1	25	0	0	1	25.00%	8	11	0	0	0.36	0	2
13	Tyler Toffoli	Golden Seals	C/LW/RW	11	3	0	3	-2	4	7	11	24	8	15	12.50%	4	180	16.42	0	0	0	0	0	0	19	0	25.00%	8	2	3	0	0.33	0	0
14	Olli Maatta	Golden Seals	D	11	0	2	2	0	0	15	14	8	5	3	0.00%	18	224	20.37	0	0	0	0	0	0	15	0	0.00%	0	1	6	0	0.18	0	0
15	Cody Ceci	Golden Seals	D	11	0	2	2	-1	0	16	16	9	4	5	0.00%	16	199	18.12	0	0	0	0	19	0	22	0	0.00%	0	1	7	0	0.20	0	0
16	Miles Wood	Golden Seals	LW/RW	11	2	0	2	-5	2	20	8	17	10	6	11.76%	3	122	11.12	0	0	0	0	0	0	0	0	0.00%	2	3	3	1	0.33	1	0
17	Mark Letestu	Golden Seals	C/RW	11	1	0	1	0	0	10	4	9	2	4	11.11%	2	105	9.59	0	0	0	0	0	0	8	0	100.00%	1	0	2	0	0.19	0	0
18	Robert Hagg	Golden Seals	D	11	0	1	1	-1	4	28	11	11	5	3	0.00%	9	173	15.74	0	0	0	0	0	0	19	0	0.00%	0	0	3	0	0.12	0	0
Stats d'équipe Total ou en Moyenne				198	27	45	72	-30	44	248	224	402	144	216	6.72%	118	3315	16.74	3	3	6	14	269	1	148	4	48.54%	684	66	77	1	0.43	5	5

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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	GA	SA	SAR	A	EG	ST	BG	S1
1	Andrei Vasilevskiy	Golden Seals	10	3	6	1	0.904	3.17	606	32	334	162	2	1	10	0	2
2	Patrik Rybar	Golden Seals	1	1	0	0	0.950	1.94	62	2	40	26	0	0	1	10	1
Stats d'équipe Total ou en Moyenne			11	4	6	1	0.909	3.05	668	34	374	188	2	1	11	10	3

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Astuces sur les Filtres (Anglais seulement)

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

Nom du 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	Salaire Année 5	Link
Andrei Vasilevskiy	Golden Seals	G	23	1994-07-24	No	207 Lbs	6 ft3	No	No	No	1	Pro & Farm	3,500,000$	3,500,000$	0$	No					Lien
Cody Ceci	Golden Seals	D	24	1993-12-21	No	209 Lbs	6 ft2	Yes	No	No	1	Pro & Farm	4,500,000$	4,500,000$	0$	No					Lien
Colin Wilson	Golden Seals	C/LW	28	1989-10-20	No	221 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,600,000$	2,600,000$	0$	No					Lien
Colton Parayko	Golden Seals	D	25	1993-05-12	No	230 Lbs	6 ft6	No	No	No	3	Pro & Farm	5,500,000$	5,500,000$	0$	No	5,500,000$	5,500,000$			Lien
Ivan Barbashev	Golden Seals	C/LW	22	1995-12-14	No	187 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,475,000$	1,475,000$	0$	No	1,475,000$				Lien
Jaden Schwartz	Golden Seals	LW/RW	26	1992-06-25	No	190 Lbs	5 ft10	No	No	No	2	Pro & Farm	5,350,000$	5,350,000$	0$	No	5,350,000$				Lien
Joe Pavelski	Golden Seals	C/LW/RW	33	1984-07-11	No	195 Lbs	5 ft11	No	No	No	3	Pro & Farm	7,000,000$	7,000,000$	0$	No	7,000,000$	7,000,000$			Lien
Jonathan Toews	Golden Seals	C	30	1988-04-29	No	201 Lbs	6 ft2	No	No	No	1	Pro & Farm	9,890,000$	9,890,000$	0$	No					Lien
Keith Yandle	Golden Seals	D	31	1986-09-09	No	196 Lbs	6 ft1	Yes	No	No	2	Pro & Farm	6,350,000$	6,350,000$	0$	No	6,350,000$				Lien
Mark Letestu	Golden Seals	C/RW	33	1985-02-03	No	195 Lbs	5 ft10	Yes	No	No	1	Pro & Farm	700,000$	700,000$	0$	No					Lien
Max Domi	Golden Seals	C/LW	23	1995-03-01	No	195 Lbs	5 ft10	No	No	No	1	Pro & Farm	3,150,000$	3,150,000$	0$	No					Lien
Miles Wood	Golden Seals	LW/RW	22	1995-09-13	No	195 Lbs	6 ft2	No	No	No	3	Pro & Farm	2,750,000$	2,750,000$	0$	No	2,750,000$	2,750,000$			Lien
Nate Schmidt	Golden Seals	D	26	1991-07-16	No	194 Lbs	6 ft1	No	Yes	No	5	Pro & Farm	5,950,000$	5,950,000$	0$	No	5,950,000$	5,950,000$	5,950,000$	5,950,000$	Lien
Nick Suzuki	Golden Seals	C/RW	18	1999-08-10 05:49:37	Yes	201 Lbs	5 ft11	No	No	No	3	Pro & Farm	863,333$	863,333$	0$	No	863,333$	863,333$
Olli Maatta	Golden Seals	D	23	1994-08-24	No	206 Lbs	6 ft2	No	No	No	3	Pro & Farm	4,083,333$	4,083,333$	0$	No	4,083,333$	4,083,333$			Lien
Ondrej Kase	Golden Seals	LW/RW	22	1995-11-08	No	185 Lbs	6 ft0	No	No	No	2	Pro & Farm	2,600,000$	2,600,000$	0$	No	2,600,000$				Lien
Oskar Lindblom	Golden Seals	LW	21	1996-08-15	No	191 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	No	925,000$				Lien
Patrik Rybar	Golden Seals	G	24	1993-11-09	Yes	190 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	No					Lien
Robert Hagg	Golden Seals	D	23	1995-02-07	No	204 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,150,000$	1,150,000$	0$	No					Lien
Tyler Toffoli	Golden Seals	C/LW/RW	26	1992-04-23	No	197 Lbs	6 ft0	No	No	No	1	Pro & Farm	4,600,000$	4,600,000$	0$	No					Lien
William Karlsson	Golden Seals	C	25	1993-01-07	No	189 Lbs	6 ft1	No	No	No	5	Pro & Farm	5,900,000$	5,900,000$	0$	No	5,900,000$	5,900,000$	5,900,000$	5,900,000$	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	25.14	199 Lbs	6 ft1	2.10	3,798,175$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
79,761,666$	48,746,666$	32,046,666$	11,850,000$	11,850,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Max Domi	Jonathan Toews	Joe Pavelski	40	0	2	3
2	Tyler Toffoli	William Karlsson	Jaden Schwartz	30	0	2	3
3	Miles Wood	Nick Suzuki	Ondrej Kase	20	0	2	3
4	Colin Wilson	Ivan Barbashev	Mark Letestu	10	2	2	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Keith Yandle	Nate Schmidt	38	0	3	2
2	Colton Parayko	Olli Maatta	37	0	3	2
3	Cody Ceci	Robert Hagg	25	1	3	1
4	Keith Yandle	Colton Parayko	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Max Domi	Jonathan Toews	Joe Pavelski	55	1	0	4
2	Ondrej Kase	William Karlsson	Jaden Schwartz	45	1	0	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Keith Yandle	Nate Schmidt	70	0	0	5
2	Cody Ceci	Colton Parayko	30	0	1	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ivan Barbashev	Tyler Toffoli	60	1	4	0
2	William Karlsson	Mark Letestu	40	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Cody Ceci	Robert Hagg	60	1	4	0
2	Olli Maatta	Colton Parayko	40	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Ivan Barbashev	60	1	4	0	Olli Maatta	Robert Hagg	60	0	5	0
2	William Karlsson	40	1	4	0	Cody Ceci	Colton Parayko	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jonathan Toews	Max Domi	60	0	2	3
2	William Karlsson	Joe Pavelski	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Colton Parayko	Nate Schmidt	60	0	3	2
2	Keith Yandle	Cody Ceci	40	0	3	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Max Domi	Jonathan Toews	Joe Pavelski	Nate Schmidt	Keith Yandle

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Ivan Barbashev	William Karlsson	Tyler Toffoli	Olli Maatta	Cody Ceci

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Miles Wood, Nick Suzuki, Colin Wilson	Nick Suzuki, Tyler Toffoli	Jaden Schwartz

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Keith Yandle, Olli Maatta, Colton Parayko	Keith Yandle	Colton Parayko, Robert Hagg

Tirs de Pénalité
Jonathan Toews, William Karlsson, Ondrej Kase, Joe Pavelski, Nick Suzuki

Gardien
#1 : Andrei Vasilevskiy, #2 : Patrik Rybar

Lignes d'Attaque Perso. en Prol.
Jonathan Toews, Max Domi, William Karlsson, Jaden Schwartz, Ondrej Kase, Tyler Toffoli, Tyler Toffoli, Joe Pavelski, Nick Suzuki, Miles Wood, Colin Wilson

Lignes de Défense Perso. en Prol.
Nate Schmidt, Colton Parayko, Keith Yandle, Cody Ceci, Olli Maatta

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	7	4	3	0	0	0	0	0	18	18	0	4	2	2	0	0	0	0	0	10	11	-1	3	2	1	0	0	0	0	0	8	7	1	8	0.571	18	29	47	1	0	5	5	6	2	254	82	67	100	5	236	74	22	160	19	2	10.53%	11	2	81.82%	0	143	295	48.47%	109	238	45.80%	80	151	52.98%	157	92	150	61	122	63
2	Devils	4	0	4	0	0	0	0	0	9	17	-8	2	0	2	0	0	0	0	0	4	8	-4	2	0	2	0	0	0	0	0	5	9	-4	0	0.000	9	16	25	0	0	1	5	3	0	148	49	52	47	0	139	44	22	88	10	1	10.00%	11	3	72.73%	0	143	295	48.47%	109	238	45.80%	80	151	52.98%	90	55	84	32	65	33
	Total	11	4	7	0	0	0	0	0	27	35	-8	6	2	4	0	0	0	0	0	14	19	-5	5	2	3	0	0	0	0	0	13	16	-3	8	0.364	27	45	72	1	0	6	10	9	2	402	131	119	147	5	375	118	44	248	29	3	10.34%	22	5	77.27%	0	143	295	48.47%	109	238	45.80%	80	151	52.98%	248	148	234	94	188	97
	_Since Last GM Reset	11	4	7	0	0	0	0	0	27	35	-8	6	2	4	0	0	0	0	0	14	19	-5	5	2	3	0	0	0	0	0	13	16	-3	8	0.364	27	45	72	1	0	6	10	9	2	402	131	119	147	5	375	118	44	248	29	3	10.34%	22	5	77.27%	0	143	295	48.47%	109	238	45.80%	80	151	52.98%	248	148	234	94	188	97
	_Vs Conference	11	4	7	0	0	0	0	0	27	35	-8	6	2	4	0	0	0	0	0	14	19	-5	5	2	3	0	0	0	0	0	13	16	-3	8	0.364	27	45	72	1	0	6	10	9	2	402	131	119	147	5	375	118	44	248	29	3	10.34%	22	5	77.27%	0	143	295	48.47%	109	238	45.80%	80	151	52.98%	248	148	234	94	188	97
	_Vs Division	11	4	7	0	0	0	0	0	27	35	-8	6	2	4	0	0	0	0	0	14	19	-5	5	2	3	0	0	0	0	0	13	16	-3	8	0.364	27	45	72	1	0	6	10	9	2	402	131	119	147	5	375	118	44	248	29	3	10.34%	22	5	77.27%	0	143	295	48.47%	109	238	45.80%	80	151	52.98%	248	148	234	94	188	97

			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
11	8	L4	27	45	72	402	375	118	44	248	1	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	4	7	0	0	0	0	27	35

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	4	0	0	0	0	14	19

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	3	0	0	0	0	13	16

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	6	1	1	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
29	3	10.34%	22	5	77.27%	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
131	119	147	5	6	10	9	2

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
143	295	48.47%	109	238	45.80%	80	151	52.98%

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
248	148	234	94	188	97

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	2	Avalanche	2	Golden Seals	3	W	X	Sommaire du Match
2 - 2019-10-05	10	Avalanche	4	Golden Seals	2	L		Sommaire du Match
3 - 2019-10-06	18	Golden Seals	1	Avalanche	4	L		Sommaire du Match
4 - 2019-10-07	26	Golden Seals	3	Avalanche	1	W		Sommaire du Match
5 - 2019-10-08	34	Avalanche	3	Golden Seals	2	L	X	Sommaire du Match
6 - 2019-10-09	42	Golden Seals	4	Avalanche	2	W		Sommaire du Match
7 - 2019-10-10	50	Avalanche	2	Golden Seals	3	W	X	Sommaire du Match
8 - 2019-10-11	57	Golden Seals	4	Devils	5	L		Sommaire du Match
9 - 2019-10-12	61	Golden Seals	1	Devils	4	L		Sommaire du Match
10 - 2019-10-13	65	Devils	3	Golden Seals	1	L		Sommaire du Match
11 - 2019-10-14	69	Devils	5	Golden Seals	3	L		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	60	35	16	10	100
Assistance	36,000	30,000	12,000	24,000	6,000
Attendance PCT	100.00%	100.00%	100.00%	100.00%	100.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
35	18000 - 100.00%	1,053,430$	6,320,580$	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$	79,761,666$	68,061,666$	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
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$	33,524,227$	33,524,227$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Joe Pavelski	AGE:33	PO:83	OV:75
Max Domi	AGE:23	PO:80	OV:73
Jaden Schwartz	AGE:26	PO:73	OV:71
Tyler Toffoli	AGE:26	PO:73	OV:71
Ondrej Kase	AGE:22	PO:77	OV:69
Colin Wilson	AGE:28	PO:71	OV:68
Oskar Lindblom	AGE:21	PO:73	OV:67
Ivan Barbashev	AGE:22	PO:72	OV:67
Miles Wood	AGE:22	PO:71	OV:67
Matt Puempel	AGE:25	PO:68	OV:65
Barclay Goodrow	AGE:25	PO:65	OV:64
*Adam Mascherin	AGE:20	PO:65	OV:62
Marko Dano	AGE:23	PO:63	OV:61
Robby Fabbri	AGE:22	PO:62	OV:60
Turner Elson	AGE:25	PO:61	OV:57
Hunter Shinkaruk	AGE:23	PO:55	OV:55
Brendan Woods	AGE:26	PO:55	OV:54
*Brandon Baddock	AGE:23	PO:52	OV:54
Julien Nantel	AGE:21	PO:53	OV:53

Jonathan Toews	AGE:30	PO:84	OV:78
Joe Pavelski	AGE:33	PO:83	OV:75
William Karlsson	AGE:25	PO:79	OV:74
Max Domi	AGE:23	PO:80	OV:73
Tyler Toffoli	AGE:26	PO:73	OV:71
Colin Wilson	AGE:28	PO:71	OV:68
Ivan Barbashev	AGE:22	PO:72	OV:67
Mark Letestu	AGE:33	PO:68	OV:66
*Nick Suzuki	AGE:18	PO:60	OV:66
Nick Cousins	AGE:24	PO:66	OV:64
Barclay Goodrow	AGE:25	PO:65	OV:64
Andrew Agozzino	AGE:27	PO:63	OV:60
Robby Fabbri	AGE:22	PO:62	OV:60
*Ryan Olsen	AGE:24	PO:60	OV:58
Mitch Hults	AGE:23	PO:58	OV:57
Chase Balisy	AGE:26	PO:56	OV:57
Brendan Woods	AGE:26	PO:55	OV:54
Julien Nantel	AGE:21	PO:53	OV:53

Joe Pavelski	AGE:33	PO:83	OV:75
Jaden Schwartz	AGE:26	PO:73	OV:71
Tyler Toffoli	AGE:26	PO:73	OV:71
Ondrej Kase	AGE:22	PO:77	OV:69
Miles Wood	AGE:22	PO:71	OV:67
Mark Letestu	AGE:33	PO:68	OV:66
*Nick Suzuki	AGE:18	PO:60	OV:66
Daniel Sprong	AGE:21	PO:69	OV:64
Barclay Goodrow	AGE:25	PO:65	OV:64
Ryan Haggerty	AGE:25	PO:65	OV:61
Marko Dano	AGE:23	PO:63	OV:61
Robby Fabbri	AGE:22	PO:62	OV:60
JC Lipon	AGE:24	PO:58	OV:57

Défense #1

Défense #2

Gardien

Keith Yandle	AGE:31	PO:69	OV:74
Colton Parayko	AGE:25	PO:69	OV:74
Cody Ceci	AGE:24	PO:68	OV:73
Olli Maatta	AGE:23	PO:66	OV:73
Nate Schmidt	AGE:26	PO:71	OV:72
Robert Hagg	AGE:23	PO:65	OV:70

Joe Hicketts	AGE:22	PO:63	OV:67
Mitchell Vande Sompel	AGE:21	PO:57	OV:59
Kurtis MacDermid	AGE:24	PO:57	OV:59
Frederic Allard	AGE:20	PO:54	OV:59
Maxim Lamarche	AGE:25	PO:54	OV:58
Dysin Mayo	AGE:21	PO:51	OV:58

Andrei Vasilevskiy	AGE:23	PO:85	OV:80
*Patrik Rybar	AGE:24	PO:65	OV:64
Jeremy Smith	AGE:29	PO:56	OV:56
*Angus Redmond	AGE:22	PO:55	OV:56
Anthony Peters	AGE:27	PO:52	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
Albin Grewe	Golden Seals	2019	47
Arvid Costmar	Golden Seals	2019	206
Blake Murray	Golden Seals	2019	116
Bobby Brink	Golden Seals	2019	26
Cody Franson	Golden Seals
Dane Birks	Golden Seals	2013	164
Daniil Tarasov	Golden Seals	2017	100
Danila Zhuravlyov	Golden Seals	2018	100
Dominic Basse	Golden Seals	2019	146
GIORGIO ESTEPHAN	Golden Seals	2015	145
Henri Nikkanen	Golden Seals	2019	86
Jacob Friend	Golden Seals	2016	210
Jacob Ingham	Golden Seals	2018	172
Jamie Phillips	Golden Seals
Jan Drozg	Golden Seals	2017	130
Jason Robertson	Golden Seals	2017	30
Jeremiah Addison	Golden Seals
Jeremy Morin	Golden Seals
Jonatan Berggren	Golden Seals	2018	22
Jordan Hollett	Golden Seals	2017	190
Leon Gawanke	Golden Seals	2017	160
Liam Kirk	Golden Seals	2018	134
Lukas Elvenes	Golden Seals	2017	70
Mathias From	Golden Seals	2016	120
Matias Mantykivi	Golden Seals	2019	176
Matt MacKenzie	Golden Seals
Matthew Robertson	Golden Seals	2019	43
Michael Schumacher	Golden Seals
Mike Fisher	Golden Seals
Mikko Kokkonen	Golden Seals	2019	60
Niklas Nordgren	Golden Seals	2018	34
Oskar Steen	Golden Seals	2016	130
Patrick Harper	Golden Seals	2016	180
Peter Quenneville	Golden Seals	2013	195
RYAN BEDNARD	Golden Seals	2015	205
Ryan Suzuki	Golden Seals	2019	24
Taylor Cammarata	Golden Seals	2013	74
Terrance Amorosa	Golden Seals	2013	134
Thomas Harley	Golden Seals	2019	17
Toni Utunen	Golden Seals	2018	108
Tyler Soy	Golden Seals	2016	150
Tyler Tucker	Golden Seals	2018	202
Vincent Dunn	Golden Seals
William Bitten	Golden Seals	2016	55
Zachary Gallant	Golden Seals	2017	106

Choix au Repêchage

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

[2020-05-29 13:23:07] - Lake Erie Monsters was eliminated at round 3 of year 2019.
[2020-05-14 17:20:40] - Golden Seals was eliminated at round 2 of year 2019.
[2020-04-30 19:01:07] - Matt Puempel has been selected as assistant for Lake Erie Monsters.
[2020-04-30 19:01:07] - Unknown Player is no longer as assistant for Lake Erie Monsters.
[2020-04-30 19:01:07] - Joe Hicketts has been selected as assistant for Lake Erie Monsters.
[2020-04-30 19:01:07] - Unknown Player is no longer as assistant for Lake Erie Monsters.
[2019-11-30 11:51:20] - Nick Suzuki was added to Golden Seals.
[2019-10-20 13:44:37] - Robby Fabbri has been selected as assistant for Lake Erie Monsters.
[2019-10-20 13:44:37] - Unknown Player is no longer as assistant for Lake Erie Monsters.
[2019-10-20 13:44:37] - Nick Cousins has been selected as assistant for Lake Erie Monsters.
[2019-10-20 13:44:37] - Unknown Player is no longer as assistant for Lake Erie Monsters.
[2019-10-20 13:44:37] - Barclay Goodrow has been selected as captain for Lake Erie Monsters.
[2019-10-20 13:44:37] - Unknown Player is no longer captain for Lake Erie Monsters.
[2019-10-20 13:44:37] - Keith Yandle has been selected as assistant for Golden Seals.
[2019-10-20 13:44:37] - Joe Pavelski is no longer as assistant for Golden Seals.
[2019-10-20 13:44:37] - Joe Pavelski has been selected as assistant for Golden Seals.
[2019-10-20 13:44:37] - Unknown Player is no longer as assistant for Golden Seals.
[2019-10-07 17:29:28] - Jeremy Smith signed with Golden Seals for 500 000 $ for 1 year(s) / Option : No Trade.
[2019-10-07 17:29:28] - Jeremy Smith was added to Golden Seals.
[2019-09-05 20:11:17] - Ivan Barbashev signed with Golden Seals for 1 475 000 $ for 2 year(s).
[2019-09-05 20:11:17] - Ivan Barbashev was added to Golden Seals.

[2020-05-29 13:23:03] Successfully loaded Golden Seals lines done with STHS Client - 3.2.1.1
[2020-05-20 16:56:51] Marko Dano from Lake Erie Monsters has scored a Hat Trick!
[2020-05-19 13:08:08] Last 7 Days Farm Star : 1 - Joshua Ho-Sang of Philadelphia Phantoms (7-3-10) / 2 - Joey Anderson of Philadelphia Phantoms (5-5-10) / 3 - Daniel Sprong of Lake Erie Monsters (6-5-11)
[2020-05-14 17:19:43] Successfully loaded Golden Seals lines done with STHS Client - 3.2.2.2
[2020-05-12 13:15:43] Daniel Sprong from Lake Erie Monsters has scored a Hat Trick!
[2020-05-05 16:27:58] Successfully loaded Golden Seals lines done with STHS Client - 3.2.2.2
[2020-05-04 16:34:23] Successfully loaded Golden Seals lines done with STHS Client - 3.2.2.2
[2020-05-01 16:38:55] Lake Erie Monsters lines for next game are empty. Current rosters/lines are not erased. But, Golden Seals lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-05-01 10:51:57] Golden Seals roster errors : Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.
[2020-04-30 19:03:27] Angus Redmond of Golden Seals was sent to farm.
[2020-04-30 19:03:27] Lake Erie Monsters lines for next game are empty. Current rosters/lines are not erased. But, Golden Seals lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-30 19:01:07] Successfully loaded Golden Seals lines done with STHS Client - 3.2.2.2
[2020-04-14 17:33:51] Lake Erie Monsters lines for next game are empty. Current rosters/lines are not erased. But, Golden Seals lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-14 17:26:39] Successfully loaded Golden Seals lines done with STHS Client - 3.2.1.1
[2020-04-14 17:26:39] Angus Redmond of Golden Seals was sent to pro.
[2020-04-13 16:34:26] Andrei Vasilevskiy from Golden Seals suspended for 99 game(s)

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
Saison Régulière
2016	82	31	35	0	2	4	2	8	230	248	-18	41	19	13	0	1	1	1	6	118	108	10	41	12	22	0	1	3	1	2	112	140	-28	62	230	362	592	8	1	59	82	85	12	2740	898	920	904	51	2763	918	400	1688	208	42	20.19%	175	23	86.86%	2	1050	1996	52.61%	1036	1956	52.97%	632	1139	55.49%	1742	1000	1764	748	1475	728
2017	82	39	24	0	5	8	3	3	280	227	53	41	23	10	0	2	3	2	1	154	111	43	41	16	14	0	3	5	1	2	126	116	10	78	280	466	746	4	3	72	101	99	11	2988	894	1043	1010	61	2759	858	278	1636	189	39	20.63%	129	30	76.74%	3	1102	1983	55.57%	1089	1952	55.79%	666	1219	54.63%	1860	1125	1676	712	1441	730
2018	82	37	20	0	9	5	7	4	265	202	63	41	22	9	0	4	1	4	1	141	106	35	41	15	11	0	5	4	3	3	124	96	28	74	265	427	692	5	1	73	93	83	22	2901	948	980	929	86	2759	966	272	1623	213	44	20.66%	121	27	77.69%	1	1040	1957	53.14%	1043	1980	52.68%	648	1194	54.27%	1846	1109	1727	715	1421	720
2019	82	36	25	0	6	8	2	5	266	249	17	41	19	12	0	2	6	1	1	138	130	8	41	17	13	0	4	2	1	4	128	119	9	101	266	443	709	3	0	74	90	94	11	2964	958	1060	916	51	2750	914	293	1642	210	48	22.86%	128	22	82.81%	3	1027	1929	53.24%	961	1825	52.66%	661	1277	51.76%	1841	1112	1713	712	1427	717
Total Saison Régulière	328	143	104	0	22	25	14	20	1041	926	115	164	83	44	0	9	11	8	9	551	455	96	164	60	60	0	13	14	6	11	490	471	19	315	1041	1698	2739	20	5	278	366	361	56	11593	3698	4003	3759	249	11031	3656	1243	6589	820	173	21.10%	553	102	81.56%	9	4219	7865	53.64%	4129	7713	53.53%	2607	4829	53.99%	7290	4348	6881	2888	5764	2896
2019	11	4	7	0	0	0	0	0	27	35	-8	6	2	4	0	0	0	0	0	14	19	-5	5	2	3	0	0	0	0	0	13	16	-3	8	27	45	72	1	0	6	10	9	2	402	131	119	147	5	375	118	44	248	29	3	10.34%	22	5	77.27%	0	143	295	48.47%	109	238	45.80%	80	151	52.98%	248	148	234	94	188	97
Total Séries	11	4	7	0	0	0	0	0	27	35	-8	6	2	4	0	0	0	0	0	14	19	-5	5	2	3	0	0	0	0	0	13	16	-3	8	27	45	72	1	0	6	10	9	2	402	131	119	147	5	375	118	44	248	29	3	10.34%	22	5	77.27%	0	143	295	48.47%	109	238	45.80%	80	151	52.98%	248	148	234	94	188	97