LHSIR - Sharks

Sharks
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Points
Informations Joueurs
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Statistiques d'Équipe
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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	Alan Quine	X				100.00	78	73	88	75	73	68	68	72	80	74	65	71	62	55	56	70	50	0	0
2	Danny O'Regan (R)	X		X		100.00	73	66	88	68	66	79	84	62	78	62	57	63	54	44	44	64	50	0	0
3	Brayden Burke		X	X		100.00	68	62	81	62	62	74	76	69	50	68	66	62	63	44	44	67	50	0	0
4	Brett Seney	X	X			100.00	60	56	70	77	56	82	87	63	79	60	62	58	59	49	49	64	50	0	0
5	Jordan Greenway		X	X		100.00	79	66	77	80	87	67	94	64	54	75	62	72	25	60	60	70	50	0	0
6	Otto Koivula (R)		X	X		100.00	75	45	94	66	83	50	76	55	59	50	55	71	25	45	45	60	50	0	0
7	Sam Steel	X				100.00	63	41	90	81	64	70	86	72	85	70	59	60	25	55	55	66	50	0	0
8	Troy Terry	X		X		100.00	57	40	95	77	65	68	84	74	36	68	59	54	53	54	54	64	50	0	0
9	Miles Wood		X	X		100.00	80	54	76	92	74	64	83	69	25	67	70	72	25	62	63	71	50	0	0
10	William Carrier		X			100.00	95	57	84	80	78	55	80	59	56	63	59	56	25	61	62	64	50	0	0
11	Derek Ryan	X	X	X		100.00	59	40	94	77	63	68	92	66	87	73	68	76	75	65	66	72	50	0	0
12	Travis Boyd	X		X		100.00	67	42	97	63	67	59	61	68	59	74	64	64	25	54	55	66	50	0	0
13	Shane Bowers (R)	X				100.00	76	70	90	66	70	62	63	60	75	58	58	64	55	44	44	63	50	0	0
14	Chad Ruhwedel				X	100.00	83	44	90	72	69	65	54	60	25	49	48	70	25	59	60	60	50	0	0
15	Jordan Oesterle				X	100.00	71	42	91	77	67	71	82	65	25	52	48	74	25	61	61	62	50	0	0
16	Nick Holden				X	100.00	86	56	92	77	80	76	78	61	25	50	50	77	25	69	70	64	43	0	0
17	Rasmus Sandin (R)				X	100.00	77	43	88	80	67	64	63	64	25	59	48	62	25	46	46	61	50	0	0
18	Sean Walker				X	100.00	77	44	88	66	70	76	83	68	25	61	49	76	25	57	57	64	50	0	0
19	Trevor van Riemsdyk				X	100.00	63	41	93	80	70	65	81	60	25	51	47	69	25	65	66	60	50	0	0
Rayé
1	Beck Malenstyn (R)		X			100.00	77	72	87	65	72	73	79	53	50	47	54	63	51	44	44	59	50	0	0
2	Brett Leason (R)			X		100.00	81	77	91	64	77	67	72	50	50	50	46	64	44	44	44	57	50	0	0
3	Connor Clifton				X	100.00	94	46	88	64	64	64	70	57	25	39	48	67	45	48	49	59	50	0	0
4	Tobias Geisser (R)				X	100.00	84	77	99	52	77	46	48	41	25	28	39	63	37	44	44	49	50	0	0

	MOYENNE D'ÉQUIPE					100.00	75	55	88	72	70	67	76	62	49	59	56	66	39	53	54	63	50	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 Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Aaron Dell	100.00	69	62	61	73	69	70	67	70	77	70	75	57	58	69	50	0	0
2	Craig Anderson	100.00	68	74	74	73	73	63	56	69	69	68	78	76	78	68	50	0	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	69	68	68	73	71	67	62	70	73	69	77	67	68	69	50	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Doug Weight	75	71	79	77	74	70	77	USA	51	3	1,250,000$

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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	P/20	PSG	PSS	FW	FL	S1	S2	S3
1	Sean Walker	Sharks (SJS)	D	8	1	7	8	7	10	0	18	8	5	1	4	20.00%	10	189	23.63	1	2	3	3	37	0	29	0	0	0.00%	0	0.85	0	0	0	0	1	1	0
2	Alan Quine	Sharks (SJS)	C	8	2	3	5	0	21	5	8	16	9	2	11	22.22%	2	165	20.70	0	1	1	1	32	0	35	1	0	63.96%	197	0.60	1	1	1	0	0	0	0
3	Jordan Greenway	Sharks (SJS)	LW/RW	8	2	3	5	0	9	5	12	11	17	2	9	11.76%	1	173	21.65	2	1	3	6	33	1	36	1	0	20.00%	10	0.58	0	2	0	1	1	0	0
4	Sam Steel	Sharks (SJS)	C	8	0	4	4	2	0	0	2	23	13	6	7	0.00%	0	140	17.59	0	1	1	5	38	0	1	0	0	62.04%	137	0.57	0	0	0	0	1	0	0
5	Troy Terry	Sharks (SJS)	C/RW	8	4	0	4	2	0	0	0	8	10	6	5	40.00%	0	132	16.59	0	0	0	2	38	0	0	0	0	50.00%	6	0.60	0	0	0	0	0	2	1
6	Miles Wood	Sharks (SJS)	LW/RW	8	2	2	4	0	12	0	10	11	14	4	17	14.29%	1	151	18.97	0	1	1	3	34	0	21	0	1	50.00%	6	0.53	2	2	0	0	0	0	0
7	Derek Ryan	Sharks (SJS)	C/LW/RW	8	1	3	4	5	0	0	2	8	10	2	7	10.00%	2	91	11.46	0	0	0	0	7	1	25	0	0	55.00%	20	0.87	0	0	0	0	1	0	0
8	Travis Boyd	Sharks (SJS)	C/RW	8	2	2	4	-1	4	0	3	10	8	1	6	25.00%	0	99	12.46	1	0	1	3	4	0	14	0	0	53.16%	79	0.80	0	0	0	0	1	0	0
9	Brett Seney	Sharks (SJS)	C/LW	8	2	1	3	2	6	0	6	10	12	2	1	16.67%	0	125	15.63	0	0	0	0	0	0	0	0	1	57.69%	52	0.48	0	0	0	0	0	1	1
10	Otto Koivula	Sharks (SJS)	LW/RW	8	2	1	3	5	6	0	7	1	8	0	4	25.00%	0	50	6.35	0	0	0	0	0	0	0	1	0	50.00%	4	1.18	0	0	0	0	0	1	0
11	Rasmus Sandin	Sharks (SJS)	D	8	1	2	3	-1	4	0	15	4	3	1	2	33.33%	2	132	16.52	1	0	1	1	8	0	10	1	0	0.00%	0	0.45	0	0	0	0	0	0	1
12	Trevor van Riemsdyk	Sharks (SJS)	D	8	1	2	3	-1	4	0	2	3	5	2	3	20.00%	4	169	21.23	1	0	1	5	32	0	29	0	1	0.00%	0	0.35	0	0	0	0	0	0	0
13	William Carrier	Sharks (SJS)	LW	8	0	3	3	2	15	5	20	11	8	3	5	0.00%	0	128	16.11	0	2	2	1	35	0	0	0	0	40.00%	5	0.47	0	0	0	1	0	0	1
14	Connor Clifton	Sharks (SJS)	D	7	0	2	2	0	10	0	7	1	0	1	1	0.00%	4	112	16.08	0	2	2	0	4	0	14	0	0	0.00%	0	0.36	0	0	0	0	0	0	0
15	Jordan Oesterle	Sharks (SJS)	D	8	0	2	2	7	2	0	5	3	4	4	1	0.00%	4	187	23.45	0	0	0	3	34	0	32	0	0	0.00%	0	0.21	0	0	0	0	0	0	0
16	Danny O'Regan	Sharks (SJS)	C/RW	8	0	1	1	-1	4	0	10	6	7	2	4	0.00%	0	89	11.21	0	0	0	0	0	0	2	0	0	66.67%	9	0.22	0	0	0	0	0	0	0
17	Chad Ruhwedel	Sharks (SJS)	D	8	0	1	1	0	8	0	10	2	4	2	2	0.00%	5	161	20.21	0	1	1	2	30	0	29	0	0	0.00%	0	0.12	0	0	0	0	0	1	0
18	Brayden Burke	Sharks (SJS)	LW/RW	8	1	0	1	2	0	0	0	1	3	0	2	33.33%	0	32	4.09	0	0	0	0	2	1	13	1	0	63.64%	11	0.61	0	0	0	0	0	0	0
19	Nick Holden	Sharks (SJS)	D	1	0	0	0	0	4	0	2	0	0	1	1	0.00%	1	18	18.05	0	0	0	0	3	0	1	0	0	0.00%	0	0.00	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				144	21	39	60	30	119	15	139	137	140	42	92	15.00%	36	2353	16.34	6	11	17	35	378	3	300	5	3	59.51%	536	0.51	3	5	1	2	5	6	4

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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	PCT	GAA	MP	SO	GA	SA	PS %	PSA	ST	BG	S1	S3
1	Aaron Dell	Sharks (SJS)	8	7	1	0.906	1.63	478	2	13	139	1.000	5	8	0	1	1
2	Craig Anderson	Sharks (SJS)	1	0	0	1.000	0.00	11	0	0	1	0.000	0	0	8	0	0
Stats d'équipe Total ou en Moyenne			9	7	1	0.907	1.59	490	2	13	140	1.000	5	8	8	1	1

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Aaron Dell	Sharks (SJS)	G	31	1989-05-04	No	200 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,900,000$	1,700,806$	1,900,000$	1,700,806$	0$	0$	No	1,900,000$		Lien
Alan Quine	Sharks (SJS)	C	27	1993-02-25	No	203 Lbs	6 ft0	No	No	No	3	Pro & Farm	735,000$	657,944$	735,000$	657,944$	0$	0$	No	735,000$	735,000$	Lien
Beck Malenstyn	Sharks (SJS)	LW	22	1998-02-04	Yes	194 Lbs	6 ft2	No	No	No	3	Pro & Farm	773,333$	692,258$	773,333$	692,258$	0$	0$	No	773,333$	773,333$
Brayden Burke	Sharks (SJS)	LW/RW	23	1997-01-01	No	170 Lbs	5 ft10	No	No	No	3	Pro & Farm	925,000$	828,024$	925,000$	828,024$	0$	0$	No	925,000$	925,000$	Lien
Brett Leason	Sharks (SJS)	RW	21	1999-04-30	Yes	201 Lbs	6 ft4	No	No	No	3	Pro & Farm	925,000$	828,024$	925,000$	828,024$	0$	0$	No	925,000$	925,000$
Brett Seney	Sharks (SJS)	C/LW	24	1996-02-28	No	156 Lbs	5 ft9	No	No	No	2	Pro & Farm	757,500$	678,085$	757,500$	678,085$	0$	0$	No	757,500$		Lien
Chad Ruhwedel	Sharks (SJS)	D	30	1990-05-07	No	191 Lbs	5 ft11	No	No	No	1	Pro & Farm	650,000$	581,855$	650,000$	581,855$	0$	0$	No			Lien
Connor Clifton	Sharks (SJS)	D	25	1995-04-28	No	175 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,000,000$	895,161$	1,000,000$	895,161$	0$	0$	No			Lien
Craig Anderson	Sharks (SJS)	G	39	1981-05-21	No	185 Lbs	6 ft2	No	No	No	1	Pro & Farm	3,000,000$	2,685,484$	3,000,000$	2,685,484$	0$	0$	No			Lien
Danny O'Regan	Sharks (SJS)	C/RW	26	1994-01-30	Yes	185 Lbs	5 ft10	No	No	No	2	Pro & Farm	874,125$	782,483$	450,000$	402,823$	0$	0$	No	874,125$		Lien
Derek Ryan	Sharks (SJS)	C/LW/RW	33	1986-12-29	No	170 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,450,000$	1,297,984$	1,450,000$	1,297,984$	0$	0$	No			Lien
Jordan Greenway	Sharks (SJS)	LW/RW	23	1997-02-16	No	226 Lbs	6 ft6	No	No	No	2	Pro & Farm	1,225,000$	1,096,573$	1,225,000$	1,096,573$	0$	0$	No	1,225,000$		Lien
Jordan Oesterle	Sharks (SJS)	D	28	1992-06-24	No	182 Lbs	6 ft0	No	No	No	1	Pro & Farm	650,000$	581,855$	1,000,000$	895,161$	0$	0$	No			Lien
Miles Wood	Sharks (SJS)	LW/RW	24	1995-09-13	No	195 Lbs	6 ft2	No	No	No	2	Pro & Farm	2,750,000$	2,461,694$	2,750,000$	2,461,694$	0$	0$	No	2,750,000$		Lien
Nick Holden	Sharks (SJS)	D	33	1987-05-14	No	214 Lbs	6 ft4	No	No	No	2	Pro & Farm	2,200,000$	1,969,355$	2,200,000$	1,969,355$	0$	0$	No	2,200,000$		Lien
Otto Koivula	Sharks (SJS)	LW/RW	21	1998-10-01	Yes	220 Lbs	6 ft4	No	No	No	3	Pro & Farm	925,000$	828,024$	925,000$	828,024$	0$	0$	No	925,000$	925,000$
Rasmus Sandin	Sharks (SJS)	D	20	2000-03-07	Yes	187 Lbs	5 ft11	No	No	No	3	Pro & Farm	894,167$	800,424$	894,167$	800,424$	0$	0$	No	894,167$	894,167$
Sam Steel	Sharks (SJS)	C	22	1998-02-03	No	178 Lbs	5 ft11	No	No	No	2	Pro & Farm	863,333$	772,822$	450,000$	402,823$	0$	0$	No	863,333$		Lien
Sean Walker	Sharks (SJS)	D	25	1994-11-12	No	196 Lbs	5 ft11	No	No	No	1	Pro & Farm	807,500$	722,843$	745,000$	666,895$	0$	0$	No			Lien
Shane Bowers	Sharks (SJS)	C	20	1999-07-30	Yes	187 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,075,000$	962,298$	1,075,000$	962,298$	0$	0$	No	1,075,000$	1,075,000$
Tobias Geisser	Sharks (SJS)	D	21	1999-02-13	Yes	201 Lbs	6 ft4	No	No	No	3	Pro & Farm	837,778$	749,946$	837,778$	749,946$	0$	0$	No	837,778$	837,778$
Travis Boyd	Sharks (SJS)	C/RW	26	1993-09-14	No	185 Lbs	5 ft11	No	No	No	3	Pro & Farm	800,000$	716,129$	800,000$	716,129$	0$	0$	No	800,000$	800,000$	Lien
Trevor van Riemsdyk	Sharks (SJS)	D	28	1991-07-24	No	188 Lbs	6 ft2	No	No	No	1	Pro & Farm	2,300,000$	2,058,871$	2,300,000$	2,058,871$	0$	0$	No			Lien
Troy Terry	Sharks (SJS)	C/RW	22	1997-09-10	No	174 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,491,666$	1,335,282$	1,491,666$	1,335,282$	0$	0$	No	1,491,666$		Lien
William Carrier	Sharks (SJS)	LW	25	1994-12-20	No	212 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,400,000$	1,253,226$	1,400,000$	1,253,226$	0$	0$	No			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
25	25.56	191 Lbs	6 ft1	2.04	1,248,376$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Miles Wood	Alan Quine	Jordan Greenway	35	1	2	2
2	William Carrier	Sam Steel	Troy Terry	30	1	2	2
3	Brett Seney	Travis Boyd	Danny O'Regan	25	1	2	2
4	Otto Koivula	Brett Seney	Derek Ryan	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jordan Oesterle	Sean Walker	35	1	2	2
2	Rasmus Sandin	Trevor van Riemsdyk	30	1	2	2
3	Nick Holden	Chad Ruhwedel	25	1	2	2
4	Jordan Oesterle	Sean Walker	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Miles Wood	Alan Quine	Jordan Greenway	60	1	2	2
2	William Carrier	Sam Steel	Troy Terry	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jordan Oesterle	Sean Walker	60	1	2	2
2	Nick Holden	Trevor van Riemsdyk	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Alan Quine	Jordan Greenway	60	1	2	2
2	Derek Ryan	Miles Wood	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jordan Oesterle	Sean Walker	60	1	2	2
2	Chad Ruhwedel	Trevor van Riemsdyk	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Derek Ryan	60	1	2	2	Chad Ruhwedel	Sean Walker	60	1	2	2
2	Alan Quine	40	1	2	2	Rasmus Sandin	Nick Holden	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Alan Quine	Jordan Greenway	60	1	2	2
2	Sam Steel	Derek Ryan	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Chad Ruhwedel	Sean Walker	60	1	2	2
2	Jordan Oesterle	Trevor van Riemsdyk	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Miles Wood	Alan Quine	Jordan Greenway	Jordan Oesterle	Trevor van Riemsdyk

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brayden Burke	Derek Ryan	Travis Boyd	Jordan Oesterle	Sean Walker

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brayden Burke, Danny O'Regan, Miles Wood	Derek Ryan, Travis Boyd	Travis Boyd

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Rasmus Sandin, Chad Ruhwedel, Nick Holden	Rasmus Sandin	Chad Ruhwedel, Nick Holden

Tirs de Pénalité
Miles Wood, Jordan Greenway, Alan Quine, Sam Steel, William Carrier

Gardien
#1 : Aaron Dell, #2 : Craig Anderson

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

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

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Admirals	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	4	3	1	2	1.000	4	6	10	0	0	10	6	5	3	10	56	34	50	5	21	7	10	19	6	0	0.00%	4	1	75.00%	0	135	220	61.36%	124	211	58.77%	60	105	57.14%	207	143	183	59	99	52
2	Flames	3	2	1	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	3	0	3	2	1	1	0	0	0	0	0	5	5	0	4	0.667	8	14	22	0	1	10	6	5	3	59	56	34	50	5	44	15	52	43	17	2	11.76%	15	0	100.00%	0	135	220	61.36%	124	211	58.77%	60	105	57.14%	207	143	183	59	99	52
3	Monarchs	2	1	0	0	0	0	1	0	6	3	3	1	0	0	0	0	0	1	0	3	2	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	6	9	15	0	0	10	6	5	3	33	56	34	50	5	51	10	41	41	13	2	15.38%	17	3	82.35%	0	135	220	61.36%	124	211	58.77%	60	105	57.14%	207	143	183	59	99	52
4	Moose	2	2	0	0	0	0	0	0	5	2	3	2	2	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	4	1.000	5	10	15	0	1	10	6	5	3	38	56	34	50	5	24	4	16	36	14	2	14.29%	8	0	100.00%	0	135	220	61.36%	124	211	58.77%	60	105	57.14%	207	143	183	59	99	52
	Total	8	5	1	0	0	0	2	0	23	13	10	4	3	0	0	0	0	1	0	11	4	7	4	2	1	0	0	0	1	0	12	9	3	14	0.875	23	39	62	0	2	10	6	5	3	140	56	34	50	5	140	36	119	139	50	6	12.00%	44	4	90.91%	0	135	220	61.36%	124	211	58.77%	60	105	57.14%	207	143	183	59	99	52
	_Since Last GM Reset	8	5	1	0	0	0	2	0	23	13	10	4	3	0	0	0	0	1	0	11	4	7	4	2	1	0	0	0	1	0	12	9	3	14	0.875	23	39	62	0	2	10	6	5	3	140	56	34	50	5	140	36	119	139	50	6	12.00%	44	4	90.91%	0	135	220	61.36%	124	211	58.77%	60	105	57.14%	207	143	183	59	99	52
	_Vs Conference	5	3	0	0	0	0	2	0	15	8	7	3	2	0	0	0	0	1	0	8	4	4	2	1	0	0	0	0	1	0	7	4	3	10	1.000	15	25	40	0	1	10	6	5	3	81	56	34	50	5	96	21	67	96	33	4	12.12%	29	4	86.21%	0	135	220	61.36%	124	211	58.77%	60	105	57.14%	207	143	183	59	99	52
	_Vs Division	8	3	0	0	0	0	2	0	23	13	10	4	2	0	0	0	0	1	0	11	4	7	4	1	0	0	0	0	1	0	12	9	3	10	0.625	23	39	62	0	2	10	6	5	3	140	56	34	50	5	140	36	119	139	50	6	12.00%	44	4	90.91%	0	135	220	61.36%	124	211	58.77%	60	105	57.14%	207	143	183	59	99	52

			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	14	L1	23	39	62	140	140	36	119	139	0	2

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	1	0	0	2	0	23	13

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	0	0	0	1	0	11	4

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	1	0	0	1	0	12	9

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
7	1	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
50	6	12.00%	44	4	90.91%	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
56	34	50	5	10	6	5	3

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
135	220	61.36%	124	211	58.77%	60	105	57.14%

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
207	143	183	59	99	52

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	SO	Lien
1 - 2020-09-27	9	Sharks	3	Monarchs	1	W			Sommaire du Match
2 - 2020-09-28	12	Flames	0	Sharks	3	W			Sommaire du Match
4 - 2020-09-30	27	Sharks	4	Admirals	3	W	X	X	Sommaire du Match
5 - 2020-10-01	41	Moose	2	Sharks	4	W			Sommaire du Match
6 - 2020-10-02	45	Sharks	3	Flames	1	W			Sommaire du Match
8 - 2020-10-04	60	Monarchs	2	Sharks	3	W	X	X	Sommaire du Match
10 - 2020-10-06	72	Moose	0	Sharks	1	W			Sommaire du Match
12 - 2020-10-08	80	Sharks	2	Flames	4	L			Sommaire du Match
14 - 2020-10-10	97	Soldiers	-	Sharks	-
16 - 2020-10-12	106	Sharks	-	Condors	-
18 - 2020-10-14	115	Sharks	-	Moose	-
20 - 2020-10-16	123	Flames	-	Sharks	-
22 - 2020-10-18	138	Sharks	-	Monarchs	-
23 - 2020-10-19	148	Monarchs	-	Sharks	-
24 - 2020-10-20	162	Condors	-	Sharks	-
25 - 2020-10-21	169	Sharks	-	Admirals	-
27 - 2020-10-23	183	Monarchs	-	Sharks	-
28 - 2020-10-24	189	Sharks	-	Stars	-
30 - 2020-10-26	200	Wolves	-	Sharks	-
32 - 2020-10-28	217	Penguins	-	Sharks	-
34 - 2020-10-30	221	Sharks	-	Condors	-
36 - 2020-11-01	233	Sharks	-	Condors	-
38 - 2020-11-03	247	Flames	-	Sharks	-
40 - 2020-11-05	259	Sharks	-	Rocket	-
42 - 2020-11-07	263	Sharks	-	Monarchs	-
43 - 2020-11-08	275	Sharks	-	Crunch	-
45 - 2020-11-10	283	Rampage	-	Sharks	-
46 - 2020-11-11	294	Sharks	-	IceHogs	-
47 - 2020-11-12	306	Flames	-	Sharks	-
49 - 2020-11-14	322	Condors	-	Sharks	-
50 - 2020-11-15	331	Sharks	-	Soldiers	-
51 - 2020-11-16	342	Griffins	-	Sharks	-
53 - 2020-11-18	355	Sharks	-	Wolves	-
54 - 2020-11-19	365	Moose	-	Sharks	-
55 - 2020-11-20	372	Sharks	-	Moose	-
56 - 2020-11-21	386	Sharks	-	Rampage	-
57 - 2020-11-22	393	Sound Tigers	-	Sharks	-
58 - 2020-11-23	403	Sharks	-	Monsters	-
59 - 2020-11-24	414	Rampage	-	Sharks	-
61 - 2020-11-26	423	Sharks	-	Rampage	-
63 - 2020-11-28	437	Senators	-	Sharks	-
65 - 2020-11-30	453	Condors	-	Sharks	-
66 - 2020-12-01	465	Sharks	-	Wolf Pack	-
68 - 2020-12-03	475	Admirals	-	Sharks	-
69 - 2020-12-04	488	Condors	-	Sharks	-
70 - 2020-12-05	496	Sharks	-	Moose	-
71 - 2020-12-06	507	Sharks	-	Moose	-
72 - 2020-12-07	511	Sharks	-	Admirals	-
74 - 2020-12-09	526	Flames	-	Sharks	-
75 - 2020-12-10	534	Sharks	-	Admirals	-
77 - 2020-12-12	546	Admirals	-	Sharks	-
79 - 2020-12-14	563	Bruins	-	Sharks	-
80 - 2020-12-15	577	Sharks	-	Phantoms	-
81 - 2020-12-16	586	IceHogs	-	Sharks	-
83 - 2020-12-18	596	Sharks	-	IceHogs	-
85 - 2020-12-20	608	Rocket	-	Sharks	-
86 - 2020-12-21	621	Marlies	-	Sharks	-
87 - 2020-12-22	628	Sharks	-	Stars	-
89 - 2020-12-24	639	Sharks	-	Monarchs	-
91 - 2020-12-26	651	Sharks	-	Condors	-
92 - 2020-12-27	659	Monsters	-	Sharks	-
93 - 2020-12-28	669	Sharks	-	Marlies	-
95 - 2020-12-30	680	Wolf Pack	-	Sharks	-
96 - 2020-12-31	695	Phantoms	-	Sharks	-
97 - 2021-01-01	701	Sharks	-	Sound Tigers	-
99 - 2021-01-03	717	Crunch	-	Sharks	-
100 - 2021-01-04	726	Sharks	-	Crunch	-
101 - 2021-01-05	734	Sharks	-	Penguins	-
102 - 2021-01-06	745	Wolves	-	Sharks	-
104 - 2021-01-08	761	Sharks	-	Rampage	-
105 - 2021-01-09	767	Monarchs	-	Sharks	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10	783	Stars	-	Sharks	-
108 - 2021-01-12	797	Sharks	-	Griffins	-
109 - 2021-01-13	805	Admirals	-	Sharks	-
111 - 2021-01-15	819	Sharks	-	Bruins	-
112 - 2021-01-16	825	Sharks	-	Flames	-
113 - 2021-01-17	835	Moose	-	Sharks	-
115 - 2021-01-19	852	Soldiers	-	Sharks	-
116 - 2021-01-20	856	Sharks	-	Flames	-
117 - 2021-01-21	863	Sharks	-	Senators	-
118 - 2021-01-22	877	Monarchs	-	Sharks	-
122 - 2021-01-26	897	Admirals	-	Sharks	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
37	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
438,725$	3,120,941$	3,065,945$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	307,683$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	111	35,250$	3,912,750$

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
2020	8	5	1	0	0	0	2	0	23	13	10	4	3	0	0	0	0	1	0	11	4	7	4	2	1	0	0	0	1	0	12	9	3	14	23	39	62	0	2	10	6	5	3	140	56	34	50	5	140	36	119	139	50	6	12.00%	44	4	90.91%	0	135	220	61.36%	124	211	58.77%	60	105	57.14%	207	143	183	59	99	52
Total Saison Régulière	8	5	1	0	0	0	2	0	23	13	10	4	3	0	0	0	0	1	0	11	4	7	4	2	1	0	0	0	1	0	12	9	3	14	23	39	62	0	2	10	6	5	3	140	56	34	50	5	140	36	119	139	50	6	12.00%	44	4	90.91%	0	135	220	61.36%	124	211	58.77%	60	105	57.14%	207	143	183	59	99	52