Ligue de Hockey Simulé du Saguenay

Predators
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Anton Gustafsson (R)	X				100.00	76	29	79	72	79	72	76	73	77	77	72	67	73	59	50	36	75	71	0	25	2	975,000$
2	Chris Lawrence			X		100.00	70	26	74	78	74	76	69	67	71	76	71	67	69	61	53	22	74	70	0	28	2	900,000$
3	Blake Geoffrion (A)		X			100.00	72	37	74	75	77	72	73	75	62	72	77	59	74	65	56	28	72	70	0	27	1	995,000$
4	Scott Laughton (R) (C)	X				100.00	80	37	70	76	81	63	84	72	72	72	74	60	70	48	43	60	77	69	0	21	3	950,000$
5	Joel Armia (R)			X		100.00	72	31	75	70	75	71	70	70	73	71	78	55	70	46	44	55	77	68	0	22	2	550,000$
6	Markus Granlund (R)	X				100.00	72	29	73	72	73	75	72	69	77	75	69	64	73	48	43	49	78	68	0	22	2	850,000$
7	Mark McNeill (R)			X		100.00	67	38	75	70	70	74	67	71	75	68	70	67	69	45	44	53	78	68	0	22	2	800,000$
8	Brett Connolly (R)			X		100.00	63	29	82	63	73	64	67	67	69	67	73	51	67	45	45	44	78	64	0	23	3	700,000$
9	Hunter Shinkaruk (R)		X			100.00	60	39	75	69	62	64	68	63	62	64	78	57	70	44	43	53	78	64	0	21	3	525,000$
10	Freddie Hamilton (R)	X				100.00	65	28	80	71	62	64	64	59	68	71	62	58	53	45	45	40	36	62	0	23	2	750,000$
11	Lucas Wallmark (R)	X				100.00	54	32	79	70	71	70	71	57	72	64	54	65	57	42	42	58	78	62	0	20	3	550,000$
12	Mat Clark (R)				X	100.00	78	65	70	78	74	80	61	65	46	73	67	74	59	59	53	36	82	72	0	25	1	925,000$
13	Josh Morrissey (R)				X	100.00	74	40	75	72	70	75	73	69	58	74	63	70	60	45	42	65	73	69	0	20	3	900,000$
14	Mattias Backman (R)				X	100.00	66	31	79	74	69	71	64	68	54	71	52	68	56	51	52	41	73	67	0	23	2	600,000$
15	T.J Brodie (R)				X	100.00	58	32	73	80	62	63	71	74	42	78	63	72	53	51	48	35	52	67	0	25	2	750,000$
16	Travis Dermott (R)				X	100.00	47	25	75	83	53	49	69	85	35	74	53	61	42	41	41	79	78	62	0	19	2	500,000$
17	Andreas Englund (R)				X	100.00	64	31	80	63	60	68	56	63	42	57	44	74	46	42	41	68	65	62	0	19	1	500,000$
18	Carl Dahlstrom (R)				X	100.00	64	18	83	60	52	51	64	53	31	59	53	69	45	42	42	51	68	60	0	20	2	600,000$
Rayé
1	Nicolas Deslauriers (R)		X			100.00	63	34	84	74	64	78	63	73	49	72	71	69	63	50	46	39	68	68	0	24	2	700,000$
2	Nicolas Kerdiles (R) (A)		X			100.00	69	43	68	76	66	75	71	77	65	71	68	68	67	46	43	54	71	68	0	21	3	600,000$
3	Riley Barber (R)			X		100.00	65	30	76	62	58	60	58	66	64	67	60	62	68	43	43	52	48	61	0	21	2	850,000$
4	Mark MacMillan (R)			X		100.00	49	33	64	61	52	61	62	64	62	74	61	49	54	45	45	38	20	59	0	23	2	350,000$
5	Alexandre Mallet (R)		X			100.00	73	44	69	67	64	57	76	62	54	61	58	45	55	46	45	31	21	59	0	23	1	375,000$
6	Ryan Olsen (R)	X				100.00	48	25	73	65	66	59	68	62	53	55	60	40	63	43	43	43	22	56	0	21	1	600,000$
7	Stanislav Galiev (R)			X		100.00	51	30	70	62	58	59	48	68	54	52	57	46	68	45	45	37	22	56	0	23	1	350,000$
8	Troy Bourke (R)		X			100.00	44	34	60	61	54	51	60	59	57	60	63	33	47	43	43	43	22	54	0	21	1	375,000$
9	Filip Chlapik (R)	X				100.00	54	30	64	48	55	49	51	54	57	49	61	45	48	40	40	72	22	52	0	18	2	500,000$
10	Adam Almquist (R)				X	100.00	58	33	71	75	59	66	64	69	43	72	45	64	48	46	46	34	20	63	0	24	2	500,000$
11	Trevor Van Riemsdyk (R)				X	100.00	60	32	75	69	61	61	61	71	45	65	51	65	55	52	52	36	78	63	0	24	2	650,000$
12	Christian Djoos (R)				X	100.00	66	30	81	64	62	54	62	59	40	64	42	73	48	43	43	44	28	63	0	21	2	475,000$
13	Josh Wesley (R)				X	100.00	54	36	77	58	60	65	62	48	32	62	46	64	37	41	41	58	22	58	0	19	1	500,000$
14	Sergei Zborovskiy (R)				X	100.00	44	26	71	59	60	53	56	39	20	42	24	66	39	40	40	72	22	52	0	18	3	500,000$

	MOYENNE D'ÉQUIPE					100.00	63	33	74	69	65	65	66	65	56	67	61	61	58	47	45	48	56	63

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Niklas Svedberg	100.00	71	71	78	68	71	78	77	68	69	76	73	65	62	32	77	72	0
2	Tristan Jarry	100.00	68	69	69	62	61	75	70	52	53	76	66	43	42	56	78	63	0
Rayé
1	Linus Ullmark	100.00	57	60	65	52	49	70	73	61	51	68	69	46	44	44	21	60	0
2	Felix Sanstrom (R)	100.00	57	65	60	55	61	60	58	60	57	54	66	40	40	83	21	58	0

	MOYENNE D'ÉQUIPE	100.00	63	66	68	59	61	71	70	60	58	69	69	49	47	54	49	63

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Wayne Gretzky	70	62	82	91	52	68	55	CAN	50	1	1,100,000$

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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	Scott Laughton	Admirals (Nas)	C	8	2	8	10	-1	12	16	13	24	9	15	8.33%	4	152	19.09	1	3	4	2	21	0	6	0	0	47.20%	214	7	1	1.31	1	1	0
2	Mat Clark	Admirals (Nas)	D	8	2	6	8	8	12	18	17	11	6	5	18.18%	14	204	25.58	1	1	2	1	24	0	28	2	0	0.00%	0	2	4	0.78	0	2	1
3	Blake Geoffrion	Admirals (Nas)	LW	8	5	3	8	4	6	8	10	25	9	14	20.00%	3	131	16.43	0	1	1	0	16	0	1	0	0	16.67%	6	7	1	1.22	0	0	2
4	Joel Armia	Admirals (Nas)	RW	8	2	4	6	-1	4	8	7	17	10	11	11.76%	3	141	17.65	0	1	1	3	21	0	0	0	0	30.00%	10	6	1	0.85	0	0	0
5	Anton Gustafsson	Admirals (Nas)	C	8	3	3	6	-3	0	9	12	15	1	16	20.00%	4	128	16.04	0	0	0	1	6	0	33	1	0	47.46%	118	4	5	0.94	0	0	0
6	Josh Morrissey	Admirals (Nas)	D	8	1	5	6	8	6	12	11	11	4	5	9.09%	5	206	25.79	1	2	3	5	24	1	31	0	0	0.00%	0	2	10	0.58	0	0	0
7	Chris Lawrence	Admirals (Nas)	RW	8	3	2	5	-3	6	7	5	19	10	13	15.79%	2	104	13.02	1	0	1	1	16	0	3	0	0	25.00%	4	3	1	0.96	0	0	0
8	Markus Granlund	Admirals (Nas)	C	8	1	4	5	3	6	13	8	16	5	11	6.25%	2	132	16.50	0	1	1	0	11	0	10	0	0	54.55%	99	1	2	0.76	0	0	0
9	Mark McNeill	Admirals (Nas)	RW	8	1	4	5	3	0	12	12	11	4	11	9.09%	8	113	14.15	0	0	0	0	1	0	1	0	0	42.86%	7	1	2	0.88	1	0	0
10	Nicolas Deslauriers	Admirals (Nas)	LW	8	3	2	5	3	0	4	4	18	1	10	16.67%	2	102	12.82	1	0	1	3	6	1	20	0	0	22.22%	9	2	3	0.97	0	1	0
11	Nicolas Kerdiles	Admirals (Nas)	LW	6	4	1	5	1	6	14	11	25	9	14	16.00%	7	128	21.46	2	0	2	3	13	0	20	0	0	62.50%	8	7	3	0.78	1	0	0
12	Brett Connolly	Admirals (Nas)	RW	8	2	2	4	5	0	2	3	7	4	3	28.57%	0	59	7.41	0	0	0	0	0	0	0	1	0	0.00%	0	0	0	1.35	0	1	0
13	Hunter Shinkaruk	Admirals (Nas)	LW	8	2	1	3	-3	2	3	6	12	4	10	16.67%	2	76	9.55	0	0	0	0	0	0	2	0	0	0.00%	1	1	1	0.78	0	0	0
14	T.J Brodie	Admirals (Nas)	D	8	1	2	3	-3	10	12	16	7	6	5	14.29%	12	146	18.35	0	1	1	0	14	1	20	0	1	0.00%	0	1	9	0.41	0	1	0
15	Travis Dermott	Admirals (Nas)	D	8	0	2	2	-4	0	2	2	7	1	3	0.00%	8	108	13.56	0	0	0	0	11	0	0	0	0	0.00%	0	2	7	0.37	0	0	0
16	Lucas Wallmark	Admirals (Nas)	C	8	1	1	2	5	0	0	5	4	2	4	25.00%	5	74	9.26	0	0	0	0	0	0	12	0	0	42.86%	14	1	2	0.54	0	0	0
17	Andreas Englund	Admirals (Nas)	D	8	0	2	2	2	0	1	6	4	1	2	0.00%	6	96	12.04	0	0	0	0	0	0	21	0	0	0.00%	0	0	4	0.42	0	0	0
18	Mattias Backman	Admirals (Nas)	D	8	0	0	0	1	6	2	4	2	2	1	0.00%	5	91	11.40	0	0	0	0	4	0	3	0	0	0.00%	0	1	3	0.00	0	0	0
19	Freddie Hamilton	Admirals (Nas)	C	8	0	0	0	-1	0	2	1	1	0	2	0.00%	0	26	3.25	0	0	0	0	4	0	0	0	0	0.00%	4	0	0	0.00	0	0	0
20	Adam Almquist	Admirals (Nas)	D	2	0	0	0	-1	0	0	1	0	0	0	0.00%	1	11	5.57	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0.00	0	0	0
21	Mark MacMillan	Admirals (Nas)	RW	2	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0.52	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0
22	Carl Dahlstrom	Admirals (Nas)	D	8	0	0	0	-1	0	1	0	0	0	0	0.00%	3	38	4.85	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0
23	Trevor Van Riemsdyk	Admirals (Nas)	D	7	0	0	0	-2	4	1	2	1	0	1	0.00%	6	55	7.93	0	0	0	0	0	0	5	0	0	0.00%	0	0	4	0.00	0	0	0
24	Alexandre Mallet	Admirals (Nas)	LW	1	0	0	0	0	0	1	0	0	0	0	0.00%	1	7	7.22	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0.00	0	0	0
25	Riley Barber	Admirals (Nas)	RW	2	0	0	0	0	0	1	0	0	0	0	0.00%	0	0	0.12	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0
26	Christian Djoos	Admirals (Nas)	D	2	0	0	0	0	0	0	1	0	0	0	0.00%	0	4	2.36	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				174	33	52	85	20	80	149	157	237	88	156	13.92%	103	2342	13.46	7	10	17	19	199	3	225	4	1	47.07%	495	48	64	0.73	3	6	3

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Niklas Svedberg	Admirals (Nas)	8	4	3	1	0.864	4.12	481	2	0	33	243	121	0	0	0.000	0	8	0	0	0	0
Stats d'équipe Total ou en Moyenne			8	4	3	1	0.864	4.12	481	2	0	33	243	121	0	0	0.000	0	8	0	0	0	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	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3
Adam Almquist	Admirals (Nas)	D	24	1991-01-01	Yes	174 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Alexandre Mallet	Admirals (Nas)	LW	23	1992-01-01	Yes	195 Lbs	6 ft1	No	No	No	1	Pro & Farm	375,000$	0$	0$	No
Andreas Englund	Admirals (Nas)	D	19	1996-01-01	Yes	189 Lbs	6 ft3	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Anton Gustafsson	Admirals (Nas)	C	25	1990-01-01	Yes	193 Lbs	6 ft2	No	No	No	2	Pro & Farm	975,000$	0$	0$	No	975,000$
Blake Geoffrion	Admirals (Nas)	LW	27	1988-01-01	No	192 Lbs	6 ft1	No	No	No	1	Pro & Farm	995,000$	0$	0$	No
Brett Connolly	Admirals (Nas)	RW	23	1992-01-01	Yes	181 Lbs	6 ft2	No	No	No	3	Pro & Farm	700,000$	0$	0$	No	725,000$	725,000$
Carl Dahlstrom	Admirals (Nas)	D	20	1995-01-01	Yes	185 Lbs	6 ft4	No	No	No	2	Pro & Farm	600,000$	0$	0$	No	600,000$
Chris Lawrence	Admirals (Nas)	RW	28	1987-01-01	No	211 Lbs	6 ft4	No	No	No	2	Pro & Farm	900,000$	0$	0$	No	930,000$
Christian Djoos	Admirals (Nas)	D	21	1994-01-01	Yes	158 Lbs	5 ft11	No	No	No	2	Pro & Farm	475,000$	0$	0$	No	500,000$
Felix Sanstrom	Admirals (Nas)	G	18	1997-01-01	Yes	191 Lbs	6 ft2	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Filip Chlapik	Admirals (Nas)	C	18	1997-01-01	Yes	194 Lbs	6 ft2	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Freddie Hamilton	Admirals (Nas)	C	23	1992-01-01	Yes	195 Lbs	6 ft1	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$
Hunter Shinkaruk	Admirals (Nas)	LW	21	1994-01-01	Yes	185 Lbs	5 ft11	No	No	No	3	Pro & Farm	525,000$	0$	0$	No	550,000$	575,000$
Joel Armia	Admirals (Nas)	RW	22	1993-01-01	Yes	205 Lbs	6 ft3	No	No	No	2	Pro & Farm	550,000$	0$	0$	No	650,000$
Josh Morrissey	Admirals (Nas)	D	20	1995-01-01	Yes	185 Lbs	6 ft0	No	No	No	3	Pro & Farm	900,000$	0$	0$	No	950,000$	1,000,000$
Josh Wesley	Admirals (Nas)	D	19	1996-01-01	Yes	201 Lbs	6 ft3	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Linus Ullmark	Admirals (Nas)	G	22	1993-01-01	No	198 Lbs	6 ft3	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Lucas Wallmark	Admirals (Nas)	C	20	1995-01-01	Yes	185 Lbs	5 ft11	No	No	No	3	Pro & Farm	550,000$	0$	0$	No	550,000$	575,000$
Mark MacMillan	Admirals (Nas)	RW	23	1992-01-01	Yes	172 Lbs	6 ft0	No	No	No	2	Pro & Farm	350,000$	0$	0$	No	350,000$
Mark McNeill	Admirals (Nas)	RW	22	1993-01-01	Yes	212 Lbs	6 ft2	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	900,000$
Markus Granlund	Admirals (Nas)	C	22	1993-01-01	Yes	178 Lbs	6 ft0	No	No	No	2	Pro & Farm	850,000$	0$	0$	No	925,000$
Mat Clark	Admirals (Nas)	D	25	1990-01-01	Yes	213 Lbs	6 ft4	No	No	No	1	Pro & Farm	925,000$	0$	0$	No
Mattias Backman	Admirals (Nas)	D	23	1992-01-01	Yes	180 Lbs	6 ft2	No	No	No	2	Pro & Farm	600,000$	0$	0$	No	650,000$
Nicolas Deslauriers	Admirals (Nas)	LW	24	1991-01-01	Yes	209 Lbs	6 ft1	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	800,000$
Nicolas Kerdiles	Admirals (Nas)	LW	21	1994-01-01	Yes	191 Lbs	5 ft11	No	No	No	3	Pro & Farm	600,000$	0$	0$	No	650,000$	750,000$
Niklas Svedberg	Admirals (Nas)	G	26	1989-01-01	No	176 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	0$	0$	No
Riley Barber	Admirals (Nas)	RW	21	1994-01-01	Yes	194 Lbs	5 ft11	No	No	No	2	Pro & Farm	850,000$	0$	0$	No	900,000$
Ryan Olsen	Admirals (Nas)	C	21	1994-01-01	Yes	187 Lbs	6 ft1	No	No	No	1	Pro & Farm	600,000$	0$	0$	No
Scott Laughton	Admirals (Nas)	C	21	1994-01-01	Yes	177 Lbs	6 ft0	No	No	No	3	Pro & Farm	950,000$	0$	0$	No	1,200,000$	1,500,000$
Sergei Zborovskiy	Admirals (Nas)	D	18	1997-01-01	Yes	194 Lbs	6 ft4	No	No	No	3	Pro & Farm	500,000$	0$	0$	No	500,000$	600,000$
Stanislav Galiev	Admirals (Nas)	RW	23	1992-01-01	Yes	187 Lbs	6 ft1	No	No	No	1	Pro & Farm	350,000$	0$	0$	No
T.J Brodie	Admirals (Nas)	D	25	1990-01-01	Yes	182 Lbs	6 ft1	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$
Travis Dermott	Admirals (Nas)	D	19	1996-01-01	Yes	205 Lbs	6 ft0	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Trevor Van Riemsdyk	Admirals (Nas)	D	24	1991-01-01	Yes	188 Lbs	6 ft2	No	No	No	2	Pro & Farm	650,000$	0$	0$	No	675,000$
Tristan Jarry	Admirals (Nas)	G	20	1995-01-01	No	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	525,000$
Troy Bourke	Admirals (Nas)	LW	21	1994-01-01	Yes	156 Lbs	5 ft10	No	No	No	1	Pro & Farm	375,000$	0$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
36	22.00	189 Lbs	6 ft1	1.92	634,583$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1		Scott Laughton	Joel Armia	40	1	2	2
2	Blake Geoffrion	Markus Granlund	Mark McNeill	30	1	2	2
3	Hunter Shinkaruk	Anton Gustafsson	Chris Lawrence	20	1	2	2
4	Freddie Hamilton	Lucas Wallmark	Brett Connolly	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mat Clark	Josh Morrissey	40	1	3	1
2	T.J Brodie	Travis Dermott	30	1	2	2
3	Andreas Englund	Mattias Backman	20	1	3	1
4	Mat Clark	Josh Morrissey	10	1	3	1

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1		Scott Laughton	Joel Armia	60	1	1	3
2	Blake Geoffrion	Markus Granlund	Chris Lawrence	40	1	1	3

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mat Clark	Josh Morrissey	60	1	1	3
2	T.J Brodie	Travis Dermott	40	1	1	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Anton Gustafsson		60	1	2	2
2	Markus Granlund	Mark McNeill	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mat Clark	Josh Morrissey	60	1	3	1
2	Andreas Englund	T.J Brodie	40	1	3	1

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Anton Gustafsson	60	1	2	2	Mat Clark	Josh Morrissey	60	1	3	1
2	Mark McNeill	40	1	2	2	Andreas Englund	T.J Brodie	40	1	3	1

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Scott Laughton	Chris Lawrence	60	1	2	2
2	Markus Granlund	Blake Geoffrion	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mat Clark	Josh Morrissey	60	1	2	2
2	T.J Brodie	Travis Dermott	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Blake Geoffrion	Scott Laughton	Joel Armia	Josh Morrissey	Mat Clark

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
	Markus Granlund	Mark McNeill	Josh Morrissey	T.J Brodie

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Freddie Hamilton, Anton Gustafsson, Mark McNeill	Freddie Hamilton, Anton Gustafsson	Lucas Wallmark

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
T.J Brodie, Josh Morrissey, Mattias Backman	T.J Brodie	T.J Brodie, Mattias Backman

Tirs de Pénalité
Markus Granlund, Scott Laughton, Blake Geoffrion, Anton Gustafsson, Hunter Shinkaruk

Gardien
#1 : Niklas Svedberg, #2 : Tristan Jarry

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	Griffins	4	4	0	0	0	0	0	0	22	15	7	2	2	0	0	0	0	0	0	13	8	5	2	2	0	0	0	0	0	0	9	7	2	8	1.000	22	35	57	0	0	11	14	7	1	120	85	91	59	2	119	55	50	75	10	4	40.00%	25	7	72.00%	0	86	171	50.29%	81	192	42.19%	66	132	50.00%	165	91	172	76	142	68
2	Reign	4	0	4	0	0	0	0	0	11	18	-7	2	0	2	0	0	0	0	0	4	8	-4	2	0	2	0	0	0	0	0	7	10	-3	0	0.000	11	17	28	0	0	11	14	7	1	117	85	91	59	2	124	48	32	74	17	3	17.65%	16	4	75.00%	0	86	171	50.29%	81	192	42.19%	66	132	50.00%	165	91	172	76	142	68
	Total	8	4	4	0	0	0	0	0	33	33	0	4	2	2	0	0	0	0	0	17	16	1	4	2	2	0	0	0	0	0	16	17	-1	8	0.500	33	52	85	0	0	11	14	7	1	237	85	91	59	2	243	103	82	149	27	7	25.93%	41	11	73.17%	0	86	171	50.29%	81	192	42.19%	66	132	50.00%	165	91	172	76	142	68
	_Since Last GM Reset	8	4	4	0	0	0	0	0	33	33	0	4	2	2	0	0	0	0	0	17	16	1	4	2	2	0	0	0	0	0	16	17	-1	8	0.500	33	52	85	0	0	11	14	7	1	237	85	91	59	2	243	103	82	149	27	7	25.93%	41	11	73.17%	0	86	171	50.29%	81	192	42.19%	66	132	50.00%	165	91	172	76	142	68
	_Vs Conference	8	4	4	0	0	0	0	0	33	33	0	4	2	2	0	0	0	0	0	17	16	1	4	2	2	0	0	0	0	0	16	17	-1	8	0.500	33	52	85	0	0	11	14	7	1	237	85	91	59	2	243	103	82	149	27	7	25.93%	41	11	73.17%	0	86	171	50.29%	81	192	42.19%	66	132	50.00%	165	91	172	76	142	68

			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
8	8	L3	33	52	85	237	243	103	82	149	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	4	4	0	0	0	0	33	33

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	17	16

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	16	17

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	3	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
27	7	25.93%	41	11	73.17%	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
85	91	59	2	11	14	7	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
86	171	50.29%	81	192	42.19%	66	132	50.00%

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
165	91	172	76	142	68

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 - 2020-10-09	4	Griffins	4	Admirals	7	W		Sommaire du Match
2 - 2020-10-10	12	Griffins	4	Admirals	6	W		Sommaire du Match
3 - 2020-10-11	20	Admirals	5	Griffins	4	W	X	Sommaire du Match
4 - 2020-10-12	28	Admirals	4	Griffins	3	W		Sommaire du Match
8 - 2020-10-16	58	Admirals	5	Reign	6	L	X	Sommaire du Match
9 - 2020-10-17	62	Admirals	2	Reign	4	L		Sommaire du Match
10 - 2020-10-18	66	Reign	4	Admirals	3	L		Sommaire du Match
11 - 2020-10-19	70	Reign	4	Admirals	1	L		Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	40	20
Assistance	6,818	3,458
Assistance PCT	85.23%	86.45%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
36	2569 - 85.63%	89,744$	358,974$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	2,284,500$	2,135,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0	0

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

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

	Admirals
	GP: 8 \| W: 4 \| L: 4 GF: 33 \| GA: 33 \| PP%: 25.93% \| PK%: 73.17% DG: Dany Potvin \| Morale : 43 \| Moyenne d'Équipe : 63