Ligue de hockey Simulée Ste-Flanelle

San Jose
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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 Moyen
1	Morgan Frost (R)	X				100.00	59	40	93	85	63	65	77	75	60	70	59	53	25	45	45	0	50	62	0	20	4	863,334$
2	Alexander True	X				100.00	84	54	90	67	78	60	77	59	64	66	55	58	25	56	56	0	50	60	0	22	2	763,333$
3	Sasha Chmelevski (R)	X		X		100.00	73	68	84	65	68	65	66	62	78	59	62	63	59	44	44	0	50	59	0	20	4	778,335$
4	Matt Beleskey		X			100.00	75	74	72	65	73	68	74	56	48	50	56	67	57	68	70	0	50	59	0	31	2	2,750,000$
5	Austin Wagner		X	X		100.00	86	69	82	62	68	57	85	62	36	57	59	62	25	59	59	0	50	59	0	22	1	650,000$
6	Matthew Phillips	X		X		100.00	65	53	94	64	53	68	69	65	80	62	65	60	62	44	44	0	50	59	0	21	2	525,000$
7	Noah Gregor (R)	X	X	X		100.00	83	44	90	77	68	56	75	58	36	57	60	55	25	46	46	0	50	58	0	21	2	650,000$
8	Clark Bishop	X				100.00	73	64	74	61	70	66	75	56	59	53	49	65	46	56	57	0	50	57	0	23	2	875,000$
9	Cooper Marody	X		X		100.00	69	64	79	66	64	63	64	60	75	60	56	61	53	44	44	0	50	57	0	22	1	525,000$
10	Nolan Patrick	X				100.00	56	43	84	69	69	60	74	58	83	55	60	59	56	37	34	0	50	57	0	21	2	925,000$
11	Shayne Gostisbehere				X	100.00	63	42	86	86	66	77	78	76	25	55	52	59	45	65	66	0	50	65	0	26	2	6,000,000$
12	Libor Hajek				X	100.00	73	43	87	67	75	68	74	57	25	53	47	82	25	47	47	0	50	64	0	21	2	742,500$
13	Connor Carrick				X	100.00	72	58	83	77	70	66	56	58	25	53	47	70	25	65	65	0	50	63	0	25	1	1,250,000$
14	Brennan Menell				X	100.00	73	66	85	64	66	79	83	57	25	59	41	66	40	55	55	0	50	62	0	22	1	825,000$
15	Kale Clague				X	100.00	71	65	84	71	65	67	70	57	25	48	51	61	48	44	44	0	50	58	0	21	2	767,500$
16	Zach Whitecloud				X	100.00	67	43	91	62	76	64	80	57	25	45	47	63	25	45	45	0	50	58	0	22	2	925,000$
17	Cam Dineen				X	100.00	74	66	92	66	66	67	73	47	25	37	42	60	40	44	44	0	50	56	0	21	2	742,500$
Rayé
1	Chris Stewart (R)		X	X		100.00	87	99	65	72	90	50	50	52	25	56	55	61	25	45	45	0	50	56	0	31	1	2,700,000$
2	Noah Cates (R)		X			100.00	57	52	72	68	71	63	74	57	61	51	53	52	56	54	54	0	50	56	0	20	4	525,000$
3	Otto Somppi	X				100.00	71	66	84	67	66	62	64	54	68	56	48	60	46	44	44	0	50	55	0	21	2	525,000$
4	Josh Wilkins (R)	X				100.00	73	66	88	64	66	62	65	50	63	50	46	60	44	44	44	0	50	54	0	22	4	925,002$
5	Rourke Chartier (R)	X				100.00	47	35	89	69	61	50	34	42	37	33	49	56	47	35	32	0	50	47	0	23	1	525,000$
6	Reilly Walsh (R)				X	100.00	49	43	91	68	67	58	70	51	25	50	42	50	44	54	54	0	50	54	0	20	4	700,000$

	MOYENNE D'ÉQUIPE					100.00	70	57	84	69	69	64	70	58	47	54	52	61	41	50	49	0	50	58

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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	Garret Sparks	100.00	62	54	68	83	61	61	58	66	63	64	30	47	47	0	50	61	0
2	Malcolm Subban	100.00	54	54	54	78	62	54	56	58	63	54	95	52	52	0	50	58	0
Rayé
1	Keith Kinkaid	100.00	57	62	75	79	52	54	51	60	54	55	30	60	60	0	50	58	0
2	Sam Montembeault	100.00	53	69	65	78	57	49	53	55	59	53	75	45	45	0	50	56	0
3	Stuart Skinner	100.00	50	54	68	81	48	51	50	55	50	50	30	44	44	0	50	53	0

	MOYENNE D'ÉQUIPE	100.00	55	59	66	80	56	54	54	59	58	55	52	50	50	0	50	57

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

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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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Connor Carrick	Sharks (San)	D	76	15	49	64	-13	44	0	132	109	162	50	122	9.26%	112	1583	20.83	5	16	21	75	162	1	1	2	1	165	1	0	0.00%	0	0	0	0.81	0	0	0	0	0	0	6	2
2	Alexander True	Sharks (San)	C	76	16	39	55	7	27	5	102	220	226	63	142	7.08%	14	1689	22.23	3	14	17	30	170	1	0	1	7	200	4	1	55.54%	2465	0	0	0.65	1	7	0	0	1	2	1	5
3	Cooper Marody	Sharks (San)	C/RW	76	19	36	55	-3	16	0	63	110	231	72	160	8.23%	10	1442	18.98	5	8	13	34	173	0	0	0	0	1	2	1	60.00%	105	0	0	0.76	0	0	0	0	0	2	3	2
4	Nolan Patrick	Sharks (San)	C	76	25	30	55	-12	14	0	45	213	275	71	224	9.09%	17	1287	16.94	2	3	5	11	24	0	0	0	2	26	3	0	60.16%	1466	0	0	0.85	0	0	0	0	0	3	2	2
5	Shayne Gostisbehere	Sharks (San)	D	67	14	40	54	2	14	0	84	97	175	65	109	8.00%	83	1633	24.38	8	8	16	78	170	0	1	1	5	172	3	0	0.00%	0	0	0	0.66	0	0	0	0	0	2	3	4
6	Noah Gregor	Sharks (San)	C/LW/RW	76	22	32	54	5	23	5	88	84	225	64	165	9.78%	11	1499	19.73	1	10	11	32	172	1	1	2	3	110	2	1	33.02%	106	1	0	0.72	2	4	0	1	0	3	2	0
7	Libor Hajek	Sharks (San)	D	76	16	34	50	11	58	0	172	129	163	59	138	9.82%	159	1676	22.06	7	9	16	69	186	0	1	1	1	170	3	2	100.00%	1	0	0	0.60	0	0	0	0	0	3	4	3
8	Clark Bishop	Sharks (San)	C	76	21	25	46	1	54	0	171	201	179	41	127	11.73%	16	1578	20.77	3	9	12	25	173	0	0	0	4	95	5	0	51.42%	1935	1	1	0.58	2	3	0	0	0	6	2	1
9	Austin Wagner	Sharks (San)	LW/RW	76	28	16	44	2	76	20	157	76	246	57	183	11.38%	16	1694	22.30	6	5	11	30	171	0	1	1	1	181	4	4	40.32%	124	0	1	0.52	4	7	1	1	2	3	3	6
10	Matt Beleskey	Sharks (San)	LW	70	24	19	43	-6	66	20	139	85	221	60	170	10.86%	21	1496	21.38	3	5	8	39	156	1	1	2	4	104	6	0	47.03%	202	0	0	0.57	1	5	1	1	2	4	2	2
11	Brennan Menell	Sharks (San)	D	76	10	31	41	-14	53	5	140	82	108	34	70	9.26%	93	1579	20.79	10	9	19	64	166	0	1	1	0	162	0	0	0.00%	0	0	0	0.52	0	0	0	0	1	0	0	2
12	Kale Clague	Sharks (San)	D	76	5	30	35	2	46	10	140	87	93	33	67	5.38%	70	1107	14.57	0	0	0	8	16	0	0	0	0	7	1	0	0.00%	1	0	0	0.63	0	0	1	1	0	2	0	2
13	Noah Cates	Sharks (San)	LW	66	12	19	31	-9	23	5	76	48	156	50	109	7.69%	5	1153	17.48	1	1	2	2	17	0	0	0	0	61	0	2	55.00%	80	0	1	0.54	0	0	0	0	1	1	0	2
14	Cam Dineen	Sharks (San)	D	76	7	17	24	-4	55	25	123	56	99	30	74	7.07%	33	1287	16.94	0	0	0	0	11	0	0	0	1	30	0	2	33.33%	57	1	0	0.37	0	0	3	1	1	0	2	0
15	Zach Whitecloud	Sharks (San)	D	76	8	15	23	3	41	5	74	58	59	31	46	13.56%	88	1134	14.93	0	0	0	0	2	0	1	1	0	70	0	0	0.00%	0	0	0	0.41	0	0	0	0	0	0	0	1
16	Chris Stewart	Sharks (San)	LW/RW	7	2	0	2	-3	11	5	20	2	31	8	18	6.45%	1	91	13.06	0	0	0	0	0	0	0	0	1	2	0	0	14.29%	7	0	0	0.44	0	0	0	1	0	0	0	0
Stats d'équipe Total ou en Moyenne				1122	244	432	676	-31	621	105	1726	1657	2649	788	1924	9.21%	749	21936	19.55	54	97	151	497	1775	4	8	12	30	1563	34	13	54.27%	6549	3	3	0.62	10	26	6	6	8	31	30	34

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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	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Garret Sparks	Sharks (San)	76	39	34	3	0.913	3.02	4229	6	2	213	2457	3	1	0.741	27	76	0	10	6	4
2	Malcolm Subban	Sharks (San)	9	0	0	0	0.939	2.62	366	0	0	16	263	0	0	0.000	0	0	76	0	0	0
Stats d'équipe Total ou en Moyenne			85	39	34	3	0.916	2.99	4595	6	2	229	2720	3	1	0.741	27	76	76	10	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 Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Alexander True	Sharks (San)	C	22	1997-07-17	No	201 Lbs	6 ft5	No	No	No	2	Pro & Farm	763,333$	76,333$	0$	No	763,333$			Lien
Austin Wagner	Sharks (San)	LW/RW	22	1997-06-23	No	178 Lbs	6 ft1	No	No	No	1	Pro & Farm	650,000$	65,000$	0$	No				Lien
Brennan Menell	Sharks (San)	D	22	1997-05-24	No	183 Lbs	5 ft11	No	No	No	1	Pro & Farm	825,000$	82,500$	0$	No				Lien
Cam Dineen	Sharks (San)	D	21	1998-06-19	No	183 Lbs	5 ft11	No	No	No	2	Pro & Farm	742,500$	74,250$	0$	No	742,500$			Lien
Chris Stewart	Sharks (San)	LW/RW	31	1987-10-30	Yes	243 Lbs	6 ft2	No	No	No	1	Pro & Farm	2,700,000$	270,000$	0$	No				Lien
Clark Bishop	Sharks (San)	C	23	1996-03-29	No	194 Lbs	6 ft0	No	No	No	2	Pro & Farm	875,000$	87,500$	0$	No	875,000$			Lien
Connor Carrick	Sharks (San)	D	25	1994-04-13	No	192 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,250,000$	125,000$	0$	No				Lien
Cooper Marody	Sharks (San)	C/RW	22	1996-12-20	No	173 Lbs	6 ft0	No	No	No	1	Pro & Farm	525,000$	52,500$	0$	No				Lien
Garret Sparks	Sharks (San)	G	26	1993-06-28	No	210 Lbs	6 ft3	No	No	No	2	Pro & Farm	700,000$	70,000$	0$	No	700,000$			Lien
Josh Wilkins	Sharks (San)	C	22	1997-06-11	Yes	181 Lbs	5 ft11	No	No	No	4	Pro & Farm	925,002$	92,500$	0$	No	925,002$	925,002$	925,002$	Lien
Kale Clague	Sharks (San)	D	21	1998-06-05	No	177 Lbs	6 ft0	No	No	No	2	Pro & Farm	767,500$	76,750$	0$	No	767,500$			Lien
Keith Kinkaid	Sharks (San)	G	30	1989-07-03	No	195 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,225,000$	122,500$	0$	No				Lien
Libor Hajek	Sharks (San)	D	21	1998-02-03	No	202 Lbs	6 ft2	No	No	No	2	Pro & Farm	742,500$	74,250$	0$	No	742,500$			Lien
Malcolm Subban	Sharks (San)	G	25	1993-12-21	No	200 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	70,000$	0$	No				Lien
Matt Beleskey	Sharks (San)	LW	31	1988-06-07	No	203 Lbs	6 ft0	No	No	No	2	Pro & Farm	2,750,000$	275,000$	0$	No	2,750,000$			Lien
Matthew Phillips	Sharks (San)	C/RW	21	1998-04-06	No	154 Lbs	5 ft7	No	No	No	2	Pro & Farm	525,000$	52,500$	0$	No	525,000$			Lien
Morgan Frost	Sharks (San)	C	20	1999-05-14	Yes	170 Lbs	5 ft11	No	No	No	4	Pro & Farm	863,334$	86,333$	0$	No	863,334$	863,334$	863,334$	Lien
Noah Cates	Sharks (San)	LW	20	1999-02-05	Yes	190 Lbs	6 ft2	No	No	No	4	Pro & Farm	525,000$	52,500$	0$	No	525,000$	525,000$	525,000$	Lien
Noah Gregor	Sharks (San)	C/LW/RW	21	1998-07-27	Yes	185 Lbs	6 ft0	No	No	No	2	Pro & Farm	650,000$	65,000$	0$	No	650,000$			Lien
Nolan Patrick	Sharks (San)	C	21	1998-09-19	No	198 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	92,500$	0$	No	925,000$			Lien
Otto Somppi	Sharks (San)	C	21	1998-01-11	No	178 Lbs	6 ft1	No	No	No	2	Pro & Farm	525,000$	52,500$	0$	No	525,000$			Lien
Reilly Walsh	Sharks (San)	D	20	1999-04-21	Yes	185 Lbs	6 ft0	No	No	No	4	Pro & Farm	700,000$	70,000$	0$	No	700,000$	700,000$	700,000$	Lien
Rourke Chartier	Sharks (San)	C	23	1996-04-03	Yes	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	525,000$	52,500$	0$	No				Lien
Sam Montembeault	Sharks (San)	G	22	1996-10-30	No	192 Lbs	6 ft3	No	No	No	1	Pro & Farm	700,000$	70,000$	0$	No				Lien
Sasha Chmelevski	Sharks (San)	C/RW	20	1999-06-09	Yes	187 Lbs	6 ft0	No	No	No	4	Pro & Farm	778,335$	77,834$	0$	No	778,335$	778,335$	778,335$	Lien
Shayne Gostisbehere	Sharks (San)	D	26	1993-04-19	No	180 Lbs	5 ft11	No	No	No	2	Pro & Farm	6,000,000$	600,000$	0$	No	6,000,000$			Lien
Stuart Skinner	Sharks (San)	G	20	1998-11-01	No	203 Lbs	6 ft3	No	No	No	2	Pro & Farm	784,166$	78,417$	0$	No	784,166$			Lien
Zach Whitecloud	Sharks (San)	D	22	1996-11-27	No	209 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	92,500$	0$	No	925,000$			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
28	22.89	191 Lbs	6 ft1	2.04	1,091,667$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Austin Wagner	Alexander True	Noah Gregor	40	1	2	2
2	Matt Beleskey	Clark Bishop	Cooper Marody	30	1	2	2
3		Nolan Patrick	Cam Dineen	20	1	2	2
4	Austin Wagner	Alexander True	Matt Beleskey	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Shayne Gostisbehere	Libor Hajek	40	1	2	2
2	Connor Carrick	Brennan Menell	30	1	2	2
3	Kale Clague	Zach Whitecloud	20	1	2	2
4	Cam Dineen	Shayne Gostisbehere	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Austin Wagner	Alexander True	Noah Gregor	60	1	2	2
2	Matt Beleskey	Clark Bishop	Cooper Marody	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Shayne Gostisbehere	Libor Hajek	60	1	2	2
2	Connor Carrick	Brennan Menell	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Alexander True	Austin Wagner	60	1	2	2
2	Matt Beleskey	Noah Gregor	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Shayne Gostisbehere	Libor Hajek	60	1	2	2
2	Connor Carrick	Brennan Menell	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Alexander True	60	1	2	2	Shayne Gostisbehere	Libor Hajek	60	1	2	2
2	Austin Wagner	40	1	2	2	Connor Carrick	Brennan Menell	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Alexander True	Austin Wagner	60	1	2	2
2	Matt Beleskey	Noah Gregor	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Shayne Gostisbehere	Libor Hajek	60	1	2	2
2	Connor Carrick	Brennan Menell	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Austin Wagner	Alexander True	Noah Gregor	Shayne Gostisbehere	Libor Hajek

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Austin Wagner	Alexander True	Noah Gregor	Shayne Gostisbehere	Libor Hajek

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Nolan Patrick, , Clark Bishop	Nolan Patrick,	Clark Bishop

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Kale Clague, Zach Whitecloud, Cam Dineen	Kale Clague	Zach Whitecloud, Cam Dineen

Tirs de Pénalité
Alexander True, Austin Wagner, Matt Beleskey, Noah Gregor, Clark Bishop

Gardien
#1 : Garret Sparks, #2 : Malcolm Subban

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	4	2	2	0	0	0	0	0	16	17	-1	2	2	0	0	0	0	0	0	9	5	4	2	0	2	0	0	0	0	0	7	12	-5	4	0.500	16	27	43	0	0	96	89	76	11	169	964	909	983	46	151	49	24	87	12	5	41.67%	6	0	100.00%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
2	Baby Hawks	3	0	3	0	0	0	0	0	4	12	-8	1	0	1	0	0	0	0	0	1	3	-2	2	0	2	0	0	0	0	0	3	9	-6	0	0.000	4	8	12	0	0	96	89	76	11	80	964	909	983	46	153	39	51	72	11	1	9.09%	11	2	81.82%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
3	Bears	2	0	2	0	0	0	0	0	2	9	-7	1	0	1	0	0	0	0	0	0	5	-5	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	96	89	76	11	84	964	909	983	46	74	27	8	61	7	0	0.00%	4	0	100.00%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
4	Bruins	2	1	0	0	0	0	1	0	8	4	4	1	0	0	0	0	0	1	0	3	2	1	1	1	0	0	0	0	0	0	5	2	3	4	1.000	8	12	20	0	0	96	89	76	11	67	964	909	983	46	63	17	25	34	11	4	36.36%	8	2	75.00%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
5	Cabaret Lady Mary Ann	2	1	0	0	0	0	0	1	8	6	2	1	0	0	0	0	0	0	1	4	5	-1	1	1	0	0	0	0	0	0	4	1	3	3	0.750	8	14	22	0	0	96	89	76	11	117	964	909	983	46	45	12	6	55	1	0	0.00%	3	1	66.67%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
6	Caroline	2	0	1	0	0	0	1	0	7	7	0	1	0	0	0	0	0	1	0	4	3	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	7	11	18	0	0	96	89	76	11	67	964	909	983	46	77	37	12	50	8	3	37.50%	6	1	83.33%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
7	Chiefs	3	1	2	0	0	0	0	0	7	10	-3	1	0	1	0	0	0	0	0	3	4	-1	2	1	1	0	0	0	0	0	4	6	-2	2	0.333	7	14	21	0	0	96	89	76	11	109	964	909	983	46	104	36	16	61	12	1	8.33%	8	2	75.00%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
8	Chill	3	0	3	0	0	0	0	0	5	20	-15	1	0	1	0	0	0	0	0	1	7	-6	2	0	2	0	0	0	0	0	4	13	-9	0	0.000	5	9	14	0	0	96	89	76	11	84	964	909	983	46	172	42	18	73	9	2	22.22%	10	1	90.00%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
9	Comets	5	4	1	0	0	0	0	0	19	10	9	3	3	0	0	0	0	0	0	13	5	8	2	1	1	0	0	0	0	0	6	5	1	8	0.800	19	34	53	0	0	96	89	76	11	162	964	909	983	46	164	46	40	103	12	2	16.67%	17	1	94.12%	2	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
10	Cougars	2	1	1	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	2	6	-4	1	1	0	0	0	0	0	0	2	1	1	2	0.500	4	8	12	0	0	96	89	76	11	70	964	909	983	46	60	22	26	38	9	2	22.22%	13	2	84.62%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
11	Crunch	2	0	2	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	5	8	13	0	0	96	89	76	11	73	964	909	983	46	81	15	8	53	12	1	8.33%	4	1	75.00%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
12	Heat	4	4	0	0	0	0	0	0	22	13	9	2	2	0	0	0	0	0	0	12	8	4	2	2	0	0	0	0	0	0	10	5	5	8	1.000	22	42	64	0	0	96	89	76	11	178	964	909	983	46	161	61	24	107	7	1	14.29%	11	2	81.82%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
13	Jayhawks	4	1	1	0	0	0	1	1	16	15	1	2	1	0	0	0	0	0	1	7	5	2	2	0	1	0	0	0	1	0	9	10	-1	5	0.625	16	27	43	0	0	96	89	76	11	150	964	909	983	46	127	43	29	91	11	4	36.36%	12	6	50.00%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
14	Las Vegas	4	1	3	0	0	0	0	0	10	18	-8	2	1	1	0	0	0	0	0	7	8	-1	2	0	2	0	0	0	0	0	3	10	-7	2	0.250	10	18	28	0	0	96	89	76	11	147	964	909	983	46	227	49	8	93	9	1	11.11%	4	0	100.00%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
15	Manchots	2	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	5	9	14	0	0	96	89	76	11	58	964	909	983	46	82	29	14	48	5	0	0.00%	7	2	71.43%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
16	Marlies	2	1	1	0	0	0	0	0	7	5	2	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	5	2	3	2	0.500	7	14	21	0	0	96	89	76	11	68	964	909	983	46	66	21	10	46	5	0	0.00%	5	1	80.00%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
17	Minnesota	3	3	0	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	4	2	2	6	1.000	13	24	37	0	0	96	89	76	11	128	964	909	983	46	135	28	26	83	5	3	60.00%	12	2	83.33%	1	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
18	Monarchs	4	0	3	0	0	1	0	0	11	18	-7	2	0	2	0	0	0	0	0	6	9	-3	2	0	1	0	0	1	0	0	5	9	-4	1	0.125	11	20	31	1	0	96	89	76	11	152	964	909	983	46	168	36	30	98	11	1	9.09%	14	3	78.57%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
19	Monsters	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	3	5	8	0	0	96	89	76	11	56	964	909	983	46	77	16	15	50	5	1	20.00%	5	1	80.00%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
20	Monsters	3	0	2	0	0	0	1	0	6	9	-3	1	0	0	0	0	0	1	0	2	1	1	2	0	2	0	0	0	0	0	4	8	-4	2	0.333	6	9	15	0	0	96	89	76	11	78	964	909	983	46	128	47	28	71	7	2	28.57%	3	1	66.67%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
21	Oceanics	3	1	2	0	0	0	0	0	8	9	-1	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	3	4	-1	2	0.333	8	14	22	0	0	96	89	76	11	66	964	909	983	46	129	39	22	67	5	2	40.00%	10	2	80.00%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
22	Oil Kings	4	1	2	0	1	0	0	0	12	10	2	2	0	1	0	1	0	0	0	6	6	0	2	1	1	0	0	0	0	0	6	4	2	4	0.500	12	20	32	0	0	96	89	76	11	121	964	909	983	46	162	37	39	86	11	3	27.27%	12	1	91.67%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
23	Phantoms	2	0	2	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	2	4	6	0	0	96	89	76	11	41	964	909	983	46	59	10	20	42	7	1	14.29%	10	1	90.00%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
24	Rocket	2	1	1	0	0	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	6	10	16	0	0	96	89	76	11	61	964	909	983	46	76	18	26	41	6	0	0.00%	7	1	85.71%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
25	Senators	2	1	0	0	0	0	1	0	9	6	3	1	1	0	0	0	0	0	0	6	4	2	1	0	0	0	0	0	1	0	3	2	1	4	1.000	9	16	25	0	0	96	89	76	11	70	964	909	983	46	76	18	21	41	8	3	37.50%	8	1	87.50%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
26	Sound Tigers	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	2	6	-4	2	0.500	6	12	18	0	0	96	89	76	11	63	964	909	983	46	80	16	11	36	4	4	100.00%	3	1	66.67%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
27	Spiders	2	2	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	12	19	0	0	96	89	76	11	58	964	909	983	46	88	13	18	37	7	3	42.86%	9	1	88.89%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
28	Stars	3	3	0	0	0	0	0	0	17	5	12	2	2	0	0	0	0	0	0	13	3	10	1	1	0	0	0	0	0	0	4	2	2	6	1.000	17	31	48	0	1	96	89	76	11	114	964	909	983	46	96	22	22	77	8	3	37.50%	11	1	90.91%	1	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
29	Thunder	2	2	0	0	0	0	0	0	11	3	8	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	6	2	4	4	1.000	11	20	31	0	0	96	89	76	11	94	964	909	983	46	40	10	18	40	9	2	22.22%	4	1	75.00%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
	Total	82	34	39	0	1	1	5	2	267	271	-4	41	20	15	0	1	0	3	2	144	125	19	41	14	24	0	0	1	2	0	123	146	-23	83	0.506	267	474	741	1	2	96	89	76	11	2876	964	909	983	46	3162	874	624	1875	236	55	23.31%	239	41	82.85%	4	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
30	Wolf Pack	2	2	0	0	0	0	0	0	11	1	10	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	6	0	6	4	1.000	11	19	30	0	1	96	89	76	11	91	964	909	983	46	41	19	9	34	2	0	0.00%	2	0	100.00%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
	_Since Last GM Reset	82	34	39	0	1	1	5	2	267	271	-4	41	20	15	0	1	0	3	2	144	125	19	41	14	24	0	0	1	2	0	123	146	-23	83	0.506	267	474	741	1	2	96	89	76	11	2876	964	909	983	46	3162	874	624	1875	236	55	23.31%	239	41	82.85%	4	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
	_Vs Conference	36	13	20	0	0	1	2	0	111	125	-14	18	8	9	0	0	0	1	0	55	56	-1	18	5	11	0	0	1	1	0	56	69	-13	31	0.431	111	196	307	1	1	96	89	76	11	1221	964	909	983	46	1366	362	263	794	107	28	26.17%	105	17	83.81%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552
	_Vs Division	16	3	9	0	0	1	1	0	58	48	10	8	1	5	0	0	0	1	0	28	28	0	8	2	4	0	0	1	0	0	30	20	10	9	0.281	58	102	160	0	0	96	89	76	11	620	964	909	983	46	507	133	140	348	61	12	19.67%	52	10	80.77%	0	1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%	1986	1365	1900	591	1073	552

			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
82	83	W2	267	474	741	2876	3162	874	624	1875	1	2

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	34	39	1	1	5	2	267	271

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	20	15	1	0	3	2	144	125

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	14	24	0	1	2	0	123	146

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
8	1	0	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
236	55	23.31%	239	41	82.85%	4

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
964	909	983	46	96	89	76	11

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
1548	2864	54.05%	1529	2949	51.85%	710	1371	51.79%

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
1986	1365	1900	591	1073	552

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 - 2020-10-22	4	Sharks	2	Las Vegas	8	L			Sommaire du Match
3 - 2020-10-24	17	Las Vegas	6	Sharks	3	L			Sommaire du Match
4 - 2020-10-25	28	Sharks	4	Admirals	8	L			Sommaire du Match
7 - 2020-10-28	41	Sharks	1	Chill	7	L			Sommaire du Match
9 - 2020-10-30	54	Sharks	2	Baby Hawks	5	L			Sommaire du Match
12 - 2020-11-02	77	Heat	5	Sharks	7	W			Sommaire du Match
15 - 2020-11-05	97	Caroline	3	Sharks	4	W	X	X	Sommaire du Match
18 - 2020-11-08	123	Crunch	5	Sharks	3	L			Sommaire du Match
21 - 2020-11-11	134	Sharks	2	Crunch	4	L			Sommaire du Match
23 - 2020-11-13	145	Sharks	3	Rocket	6	L			Sommaire du Match
24 - 2020-11-14	156	Sharks	5	Marlies	2	W			Sommaire du Match
26 - 2020-11-16	173	Sharks	3	Senators	2	W	X	X	Sommaire du Match
28 - 2020-11-18	179	Sharks	5	Bruins	2	W			Sommaire du Match
31 - 2020-11-21	203	Oceanics	3	Sharks	1	L			Sommaire du Match
32 - 2020-11-22	216	Comets	3	Sharks	6	W			Sommaire du Match
35 - 2020-11-25	234	Baby Hawks	3	Sharks	1	L			Sommaire du Match
37 - 2020-11-27	247	Minnesota	2	Sharks	4	W			Sommaire du Match
39 - 2020-11-29	262	Chill	7	Sharks	1	L			Sommaire du Match
42 - 2020-12-02	280	Oil Kings	4	Sharks	3	L			Sommaire du Match
44 - 2020-12-04	292	Sharks	3	Admirals	4	L			Sommaire du Match
46 - 2020-12-06	313	Cougars	6	Sharks	2	L			Sommaire du Match
49 - 2020-12-09	330	Oil Kings	2	Sharks	3	W	X		Sommaire du Match
51 - 2020-12-11	344	Sharks	1	Las Vegas	2	L			Sommaire du Match
53 - 2020-12-13	361	Sound Tigers	1	Sharks	4	W			Sommaire du Match
55 - 2020-12-15	373	Sharks	3	Monarchs	6	L			Sommaire du Match
57 - 2020-12-17	389	Oceanics	2	Sharks	4	W			Sommaire du Match
59 - 2020-12-19	393	Monarchs	4	Sharks	3	L			Sommaire du Match
60 - 2020-12-20	411	Sharks	5	Jayhawks	7	L			Sommaire du Match
63 - 2020-12-23	433	Bears	5	Sharks	0	L			Sommaire du Match
65 - 2020-12-25	443	Sharks	3	Caroline	4	L			Sommaire du Match
67 - 2020-12-27	457	Sharks	6	Thunder	2	W			Sommaire du Match
68 - 2020-12-28	464	Sharks	4	Cabaret Lady Mary Ann	1	W			Sommaire du Match
70 - 2020-12-30	475	Sharks	3	Chill	6	L			Sommaire du Match
72 - 2021-01-01	498	Wolf Pack	1	Sharks	5	W			Sommaire du Match
74 - 2021-01-03	514	Comets	1	Sharks	4	W			Sommaire du Match
77 - 2021-01-06	534	Jayhawks	3	Sharks	2	L	X	X	Sommaire du Match
81 - 2021-01-10	564	Chiefs	4	Sharks	3	L			Sommaire du Match
82 - 2021-01-11	568	Las Vegas	2	Sharks	4	W			Sommaire du Match
87 - 2021-01-16	592	Monarchs	5	Sharks	3	L			Sommaire du Match
88 - 2021-01-17	601	Phantoms	2	Sharks	1	L			Sommaire du Match
91 - 2021-01-20	620	Sharks	2	Cougars	1	W			Sommaire du Match
93 - 2021-01-22	631	Sharks	2	Manchots	5	L			Sommaire du Match
95 - 2021-01-24	642	Sharks	2	Monsters	3	L			Sommaire du Match
96 - 2021-01-25	653	Sharks	2	Bears	4	L			Sommaire du Match
98 - 2021-01-27	670	Sharks	1	Chiefs	5	L			Sommaire du Match
100 - 2021-01-29	688	Monsters	3	Sharks	1	L			Sommaire du Match
102 - 2021-01-31	702	Stars	3	Sharks	9	W			Sommaire du Match
105 - 2021-02-03	724	Sharks	4	Jayhawks	3	W	X	X	Sommaire du Match
107 - 2021-02-05	738	Sharks	2	Monsters	4	L			Sommaire du Match
109 - 2021-02-07	754	Sharks	3	Comets	4	L			Sommaire du Match
118 - 2021-02-16	773	Admirals	2	Sharks	4	W			Sommaire du Match
120 - 2021-02-18	781	Comets	1	Sharks	3	W			Sommaire du Match
123 - 2021-02-21	805	Thunder	1	Sharks	5	W			Sommaire du Match
126 - 2021-02-24	823	Sharks	5	Heat	2	W			Sommaire du Match
128 - 2021-02-26	837	Sharks	2	Oil Kings	3	L			Sommaire du Match
132 - 2021-03-02	865	Heat	3	Sharks	5	W			Sommaire du Match
136 - 2021-03-06	891	Sharks	3	Oceanics	4	L			Sommaire du Match
137 - 2021-03-07	899	Sharks	4	Minnesota	2	W			Sommaire du Match
139 - 2021-03-09	915	Cabaret Lady Mary Ann	5	Sharks	4	L	X	X	Sommaire du Match
142 - 2021-03-12	934	Sharks	3	Spiders	2	W			Sommaire du Match
144 - 2021-03-14	953	Sharks	6	Wolf Pack	0	W			Sommaire du Match
145 - 2021-03-15	962	Sharks	2	Sound Tigers	6	L			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
147 - 2021-03-17	972	Sharks	1	Phantoms	3	L			Sommaire du Match
149 - 2021-03-19	993	Spiders	3	Sharks	4	W			Sommaire du Match
151 - 2021-03-21	1010	Manchots	5	Sharks	3	L			Sommaire du Match
154 - 2021-03-24	1028	Marlies	3	Sharks	2	L			Sommaire du Match
156 - 2021-03-26	1042	Minnesota	3	Sharks	5	W			Sommaire du Match
158 - 2021-03-28	1053	Senators	4	Sharks	6	W			Sommaire du Match
159 - 2021-03-29	1065	Monsters	1	Sharks	2	W	X	X	Sommaire du Match
162 - 2021-04-01	1079	Sharks	1	Baby Hawks	4	L			Sommaire du Match
164 - 2021-04-03	1094	Sharks	3	Chiefs	1	W			Sommaire du Match
165 - 2021-04-04	1106	Sharks	4	Stars	2	W			Sommaire du Match
168 - 2021-04-07	1129	Sharks	2	Monsters	4	L			Sommaire du Match
170 - 2021-04-09	1145	Rocket	2	Sharks	3	W			Sommaire du Match
172 - 2021-04-11	1163	Bruins	2	Sharks	3	W	X	X	Sommaire du Match
174 - 2021-04-13	1173	Sharks	5	Heat	3	W			Sommaire du Match
176 - 2021-04-15	1189	Sharks	3	Comets	1	W			Sommaire du Match
178 - 2021-04-17	1203	Sharks	4	Oil Kings	1	W			Sommaire du Match
180 - 2021-04-19	1223	Jayhawks	2	Sharks	5	W			Sommaire du Match
182 - 2021-04-21	1238	Sharks	2	Monarchs	3	L	X		Sommaire du Match
184 - 2021-04-23	1254	Stars	0	Sharks	4	W			Sommaire du Match
186 - 2021-04-25	1271	Admirals	3	Sharks	5	W			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	1750	1250
Prix des Billets	50	20
Assistance	44,138	33,776
Assistance PCT	61.52%	65.90%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	1900 - 63.34%	70,303$	2,882,420$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,949,534$	3,056,666$	3,056,666$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
16,434$	2,949,534$	28	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	16,434$	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