Ligue de hockey Simulée Ste-Flanelle

Anaheim
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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	Garrett Pilon	X				100.00	71	63	90	68	63	78	83	61	76	56	61	62	58	44	44	0	50	60	0	21	2	742,500$
2	Dominic Turgeon	X	X			100.00	79	72	93	63	73	80	87	54	68	49	53	68	53	53	53	0	50	59	0	23	2	750,000$
3	Joshua Ho-Sang (R)			X		100.00	69	59	93	77	64	63	62	62	50	59	56	65	54	44	44	0	50	59	0	23	2	1,000,000$
4	Patrick Russell		X	X		100.00	79	53	88	62	75	64	68	57	46	58	55	76	25	49	49	0	50	59	0	26	2	925,000$
5	Tomas Jurco		X	X		100.00	64	47	87	77	70	56	51	59	45	62	56	56	25	62	63	0	50	58	0	26	2	750,000$
6	Tanner MacMaster	X				100.00	72	70	78	65	68	68	73	58	72	55	54	63	55	44	44	0	50	58	0	23	1	560,000$
7	Ryan Spooner	X	X			100.00	48	35	93	67	62	62	66	58	78	57	58	51	48	48	45	0	50	56	0	27	2	2,400,000$
8	Joona Luoto (R)		X	X		100.00	67	42	95	73	70	46	64	52	25	50	55	72	25	45	45	0	50	56	0	22	1	560,000$
9	D'Artagnan Joly (R)			X		100.00	52	47	84	67	69	60	75	50	62	54	37	47	39	54	54	0	50	52	0	20	4	650,000$
10	Jack Badini (R)	X				100.00	53	49	89	64	72	56	71	44	56	39	41	46	43	58	58	0	50	50	0	21	4	805,000$
11	Dillon Heatherington				X	100.00	78	77	75	66	81	77	86	48	25	40	39	66	38	53	54	0	50	61	0	24	2	700,000$
12	Cal Foote				X	100.00	83	83	82	61	83	78	85	52	25	48	42	66	40	44	44	0	50	61	0	20	2	925,000$
13	Trevor Carrick				X	100.00	75	74	70	66	74	76	79	54	25	45	50	65	50	44	44	0	50	60	0	25	1	560,000$
14	Joey Keane (R)				X	100.00	72	67	82	61	67	75	79	59	25	53	51	62	48	44	44	0	50	59	0	20	4	809,166$
15	Gustav Olofsson (R)				X	100.00	78	73	89	72	73	52	54	49	25	43	39	62	37	44	44	0	50	56	0	24	2	750,000$
16	Bode Wilde (R)				X	100.00	77	73	85	60	73	56	60	45	25	35	39	61	37	44	44	0	50	54	0	19	4	778,333$
17	Benjamin Mirageas (R)				X	100.00	51	45	84	62	67	47	66	31	25	28	29	44	30	54	54	0	50	48	0	20	4	525,000$
Rayé
1	Dennis Everberg		X	X		100.00	46	35	88	62	72	43	33	38	36	38	38	66	44	35	32	0	50	46	0	27	3	600,000$
2	Malte Stromwall (R)		X	X		100.00	41	45	45	45	54	39	39	41	45	41	41	45	43	32	30	0	50	41	0	25	2	742,500$
3	Brendan Warren (R)		X			100.00	37	43	43	43	64	35	35	37	43	37	37	43	40	32	30	0	50	39	0	22	1	700,000$
4	Matt Hunwick				X	100.00	48	43	84	61	62	65	44	46	35	47	45	62	47	65	57	0	50	54	0	34	2	2,800,000$
5	James Greenway (R)				X	100.00	39	43	43	43	68	37	37	39	43	39	39	43	41	32	30	0	50	41	0	21	2	700,000$
6	Linus Hultstrom (R)				X	100.00	41	45	45	45	55	39	39	41	45	41	41	45	43	32	30	0	50	41	0	26	2	825,000$
7	Lukas Bengtsson (R)				X	100.00	41	45	45	45	48	39	39	41	45	41	41	45	43	32	30	0	50	41	0	25	2	742,500$

	MOYENNE D'ÉQUIPE					100.00	61	55	77	61	68	58	61	49	44	46	46	58	42	45	44	0	50	53

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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	Christopher Gibson	100.00	58	63	80	72	59	63	53	62	60	58	30	45	45	0	50	59	0
2	Spencer Martin	100.00	53	58	75	83	50	54	50	58	52	51	30	44	44	0	50	55	0
Rayé
1	Ales Stezka (R)	100.00	36	40	38	71	35	34	34	34	34	34	33	32	30	0	50	39	0

	MOYENNE D'ÉQUIPE	100.00	49	54	64	75	48	50	46	51	49	48	31	40	40	0	50	51

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	Garrett Pilon	Admirals (Ana)	C	81	36	66	102	30	20	0	126	315	396	117	298	9.09%	26	2018	24.92	7	13	20	50	199	0	1	1	6	224	7	2	57.62%	2810	0	1	1.01	2	13	0	0	0	8	6	4
2	Tomas Jurco	Admirals (Ana)	LW/RW	82	38	56	94	32	18	0	64	177	325	84	232	11.69%	21	1520	18.55	3	7	10	40	182	0	0	0	0	57	8	1	45.26%	95	0	1	1.24	1	1	0	0	0	0	13	3
3	Joshua Ho-Sang	Admirals (Ana)	RW	79	30	48	78	23	26	0	68	189	352	105	253	8.52%	37	1463	18.52	3	12	15	53	192	0	1	1	2	94	5	2	50.00%	178	0	0	1.07	1	5	0	0	0	1	2	6
4	Dominic Turgeon	Admirals (Ana)	C/LW	55	23	31	54	22	40	0	146	118	257	71	196	8.95%	31	1277	23.22	3	5	8	42	139	1	1	2	9	116	3	0	58.13%	480	2	0	0.85	2	6	0	0	0	5	3	3
5	Tanner MacMaster	Admirals (Ana)	C	79	15	39	54	25	16	0	110	164	181	70	139	8.29%	14	985	12.47	1	4	5	17	98	0	0	0	1	7	7	1	57.04%	1299	0	0	1.10	0	0	0	0	0	2	5	2
6	Joona Luoto	Admirals (Ana)	LW/RW	79	22	31	53	17	10	0	40	136	265	73	187	8.30%	16	1203	15.24	4	3	7	21	92	0	0	0	0	12	0	1	40.00%	70	0	1	0.88	0	0	0	0	0	1	3	2
7	Patrick Russell	Admirals (Ana)	LW/RW	43	27	25	52	13	10	0	104	89	207	57	147	13.04%	6	891	20.74	6	5	11	34	100	0	0	0	5	104	3	1	51.35%	74	0	0	1.17	0	7	0	0	0	5	5	4
8	Dillon Heatherington	Admirals (Ana)	D	79	8	38	46	8	85	15	278	91	114	55	96	7.02%	153	1957	24.78	3	9	12	29	203	0	0	0	0	178	2	1	0.00%	0	0	0	0.47	0	0	1	1	1	2	1	3
9	Gustav Olofsson	Admirals (Ana)	D	79	8	35	43	30	31	5	126	46	91	31	58	8.79%	126	1465	18.56	3	4	7	26	138	0	0	0	1	115	3	1	0.00%	0	0	0	0.59	0	0	1	0	0	1	0	1
10	Trevor Carrick	Admirals (Ana)	D	79	9	30	39	8	70	0	196	64	129	46	92	6.98%	114	1703	21.56	3	8	11	58	184	0	0	0	3	142	0	1	0.00%	0	0	0	0.46	0	0	0	0	0	2	0	5
11	Andy Andreoff	Anaheim	C/LW	37	20	17	37	12	34	0	110	90	137	44	109	14.60%	16	761	20.57	1	3	4	7	83	1	0	1	1	54	3	3	43.62%	619	0	0	0.97	2	6	0	0	0	4	1	2
12	Joey Keane	Admirals (Ana)	D	49	7	26	33	26	28	0	78	57	75	26	51	9.33%	72	1045	21.34	2	4	6	30	107	0	0	0	1	108	1	1	0.00%	0	0	0	0.63	0	0	0	0	0	2	2	1
13	Ryan Spooner	Admirals (Ana)	C/LW	46	13	14	27	-1	0	0	6	62	100	19	77	13.00%	2	657	14.30	0	1	1	1	3	0	1	1	0	59	0	1	59.88%	172	0	0	0.82	1	1	0	0	0	0	2	2
14	Trent Frederic	Anaheim	C	36	9	13	22	8	30	0	96	76	89	20	56	10.11%	7	527	14.65	0	0	0	3	11	0	0	0	0	8	0	0	54.77%	619	0	0	0.83	0	0	0	0	0	1	1	1
15	Bode Wilde	Admirals (Ana)	D	82	3	16	19	-5	46	10	193	58	68	26	53	4.41%	120	1227	14.97	0	0	0	5	24	0	0	0	1	49	0	0	0.00%	0	0	0	0.31	0	0	1	0	1	0	1	1
16	D'Artagnan Joly	Admirals (Ana)	RW	69	10	8	18	-19	8	0	62	118	168	41	85	5.95%	13	891	12.92	0	0	0	1	23	0	0	0	0	1	1	0	60.32%	63	0	0	0.40	0	0	0	0	0	0	2	1
17	Cal Foote	Admirals (Ana)	D	19	5	12	17	5	21	5	41	22	32	8	24	15.63%	22	452	23.83	2	3	5	9	39	1	0	1	2	46	1	1	0.00%	0	0	1	0.75	0	0	0	1	0	2	0	0
18	Matt Hunwick	Admirals (Ana)	D	35	3	8	11	9	6	0	13	16	29	5	15	10.34%	34	529	15.13	1	0	1	3	5	0	0	0	0	15	0	0	0.00%	0	0	0	0.42	0	0	0	0	0	1	0	0
19	Dennis Everberg	Admirals (Ana)	LW/RW	14	2	2	4	-12	4	0	3	19	25	6	17	8.00%	4	215	15.42	0	0	0	0	4	0	0	0	2	17	0	1	34.78%	23	0	0	0.37	0	0	0	0	0	0	0	0
20	Linus Hultstrom	Admirals (Ana)	D	3	0	4	4	4	2	0	2	1	0	1	0	0.00%	4	47	15.94	0	0	0	0	0	0	1	1	0	2	0	0	0.00%	0	0	0	1.67	0	0	0	0	0	0	0	1
21	Benjamin Mirageas	Admirals (Ana)	D	13	0	2	2	-8	2	0	4	1	1	0	0	0.00%	8	169	13.04	0	0	0	0	0	0	0	0	0	14	0	0	0.00%	0	0	0	0.24	0	0	0	0	0	0	0	0
22	James Greenway	Admirals (Ana)	D	14	0	1	1	5	2	0	8	0	1	0	0	0.00%	5	86	6.19	0	0	0	0	3	0	0	0	0	9	0	0	0.00%	0	0	0	0.23	0	0	0	0	0	0	0	0
23	Jack Badini	Admirals (Ana)	C	22	0	1	1	-12	6	0	11	17	15	2	12	0.00%	0	264	12.04	0	0	0	0	5	0	0	0	0	7	0	0	49.13%	230	0	0	0.08	0	0	0	0	0	0	0	0
24	Malte Stromwall	Admirals (Ana)	LW/RW	3	0	0	0	-1	0	0	4	2	6	2	0	0.00%	0	38	12.96	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	3	0	0	0.00	0	0	0	0	0	0	0	0
25	Brendan Warren	Admirals (Ana)	LW	14	0	0	0	0	0	0	3	1	2	0	0	0.00%	1	78	5.63	0	0	0	0	0	0	0	0	0	1	0	0	33.33%	3	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1191	288	523	811	219	515	35	1892	1929	3065	909	2197	9.40%	852	21483	18.04	42	81	123	429	1844	3	5	8	34	1449	44	18	55.05%	6738	2	4	0.75	9	39	3	2	2	37	47	42

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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	Christopher Gibson	Admirals (Ana)	76	47	21	7	0.922	2.91	4450	12	1	216	2753	0	3	0.758	33	76	0	9	7	4
2	Ales Stezka	Admirals (Ana)	5	0	0	1	0.935	2.70	178	0	0	8	123	1	0	0.667	3	0	54	0	0	0
Stats d'équipe Total ou en Moyenne			81	47	21	8	0.922	2.90	4629	12	1	224	2876	1	3	0.750	36	76	54	9	7	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
Ales Stezka	Admirals (Ana)	G	22	1997-01-06	Yes	192 Lbs	6 ft4	No	No	No	1	Pro & Farm	650,000$	65,000$	0$	No				Lien
Benjamin Mirageas	Admirals (Ana)	D	20	1999-05-08	Yes	181 Lbs	6 ft1	No	No	No	4	Pro & Farm	525,000$	52,500$	0$	No	525,000$	525,000$	525,000$	Lien
Bode Wilde	Admirals (Ana)	D	19	2000-01-24	Yes	192 Lbs	6 ft3	No	No	No	4	Pro & Farm	778,333$	77,833$	0$	No	778,333$	778,333$	778,333$	Lien
Brendan Warren	Admirals (Ana)	LW	22	1997-05-07	Yes	191 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,000$	70,000$	0$	No				Lien
Cal Foote	Admirals (Ana)	D	20	1998-12-13	No	220 Lbs	6 ft4	No	No	No	2	Pro & Farm	925,000$	92,500$	0$	No	925,000$			Lien
Christopher Gibson	Admirals (Ana)	G	26	1992-12-27	No	188 Lbs	6 ft1	No	No	No	2	Pro & Farm	800,000$	80,000$	0$	No	800,000$			Lien
D'Artagnan Joly	Admirals (Ana)	RW	20	1999-04-07	Yes	181 Lbs	6 ft3	No	No	No	4	Pro & Farm	650,000$	65,000$	0$	No	650,000$	650,000$	650,000$	Lien
Dennis Everberg	Admirals (Ana)	LW/RW	27	1991-12-31	No	205 Lbs	6 ft4	No	No	No	3	Pro & Farm	600,000$	60,000$	0$	No	600,000$	600,000$		Lien
Dillon Heatherington	Admirals (Ana)	D	24	1995-05-08	No	215 Lbs	6 ft4	No	No	No	2	Pro & Farm	700,000$	70,000$	0$	No	700,000$			Lien
Dominic Turgeon	Admirals (Ana)	C/LW	23	1996-02-24	No	196 Lbs	6 ft2	No	No	No	2	Pro & Farm	750,000$	75,000$	0$	No	750,000$			Lien
Garrett Pilon	Admirals (Ana)	C	21	1998-04-13	No	175 Lbs	5 ft10	No	No	No	2	Pro & Farm	742,500$	74,250$	0$	No	742,500$			Lien
Gustav Olofsson	Admirals (Ana)	D	24	1994-12-01	Yes	194 Lbs	6 ft3	No	No	No	2	Pro & Farm	750,000$	75,000$	0$	No	750,000$			Lien
Jack Badini	Admirals (Ana)	C	21	1998-01-19	Yes	203 Lbs	6 ft0	No	No	No	4	Pro & Farm	805,000$	80,500$	0$	No	805,000$	805,000$	805,000$	Lien
James Greenway	Admirals (Ana)	D	21	1998-04-27	Yes	205 Lbs	6 ft4	No	No	No	2	Pro & Farm	700,000$	70,000$	0$	No	700,000$			Lien
Joey Keane	Admirals (Ana)	D	20	1999-07-02	Yes	183 Lbs	6 ft0	No	No	No	4	Pro & Farm	809,166$	80,917$	0$	No	809,166$	809,166$	809,166$	Lien
Joona Luoto	Admirals (Ana)	LW/RW	22	1997-09-26	Yes	185 Lbs	6 ft2	Yes	No	No	1	Pro & Farm	560,000$	56,000$	0$	No				Lien
Joshua Ho-Sang	Admirals (Ana)	RW	23	1996-01-22	Yes	173 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,000,000$	100,000$	0$	No	1,000,000$			Lien
Linus Hultstrom	Admirals (Ana)	D	26	1992-12-09	Yes	181 Lbs	5 ft10	No	No	No	2	Pro & Farm	825,000$	82,500$	0$	No	825,000$			Lien
Lukas Bengtsson	Admirals (Ana)	D	25	1994-04-14	Yes	168 Lbs	5 ft9	No	No	No	2	Pro & Farm	742,500$	74,250$	0$	No	742,500$			Lien
Malte Stromwall	Admirals (Ana)	LW/RW	25	1994-08-24	Yes	180 Lbs	5 ft10	No	No	No	2	Pro & Farm	742,500$	74,250$	0$	No	742,500$			Lien
Matt Hunwick	Admirals (Ana)	D	34	1985-05-21	No	194 Lbs	5 ft11	No	No	No	2	Pro & Farm	2,800,000$	280,000$	0$	No	2,800,000$			Lien
Patrick Russell	Admirals (Ana)	LW/RW	26	1993-01-03	No	205 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	92,500$	0$	No	925,000$			Lien
Ryan Spooner	Admirals (Ana)	C/LW	27	1992-01-30	No	191 Lbs	5 ft11	No	No	No	2	Pro & Farm	2,400,000$	240,000$	0$	No	2,400,000$			Lien
Spencer Martin	Admirals (Ana)	G	24	1995-06-07	No	210 Lbs	6 ft3	No	No	No	4	Pro & Farm	750,000$	75,000$	0$	No	750,000$	750,000$	750,000$	Lien
Tanner MacMaster	Admirals (Ana)	C	23	1996-01-08	No	185 Lbs	6 ft0	Yes	No	No	1	Pro & Farm	560,000$	56,000$	0$	No				Lien
Tomas Jurco	Admirals (Ana)	LW/RW	26	1992-12-27	No	188 Lbs	6 ft2	No	No	No	2	Pro & Farm	750,000$	75,000$	0$	No	750,000$			Lien
Trevor Carrick	Admirals (Ana)	D	25	1994-07-04	No	186 Lbs	6 ft2	Yes	No	No	1	Pro & Farm	560,000$	56,000$	0$	No				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
27	23.56	191 Lbs	6 ft1	2.30	870,370$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Dominic Turgeon	Garrett Pilon	Joshua Ho-Sang	40	1	2	2
2	Patrick Russell	Tanner MacMaster	Tomas Jurco	30	1	2	2
3	Joona Luoto	Ryan Spooner	D'Artagnan Joly	20	1	2	2
4	Garrett Pilon	Jack Badini	Dominic Turgeon	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dillon Heatherington	Cal Foote	40	1	2	2
2	Trevor Carrick	Joey Keane	30	1	2	2
3	Gustav Olofsson	Bode Wilde	20	1	2	2
4	Benjamin Mirageas	Dillon Heatherington	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Dominic Turgeon	Garrett Pilon	Joshua Ho-Sang	60	1	2	2
2	Patrick Russell	Tanner MacMaster	Tomas Jurco	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dillon Heatherington	Cal Foote	60	1	2	2
2	Trevor Carrick	Joey Keane	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Garrett Pilon	Dominic Turgeon	60	1	2	2
2	Joshua Ho-Sang	Patrick Russell	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dillon Heatherington	Cal Foote	60	1	2	2
2	Trevor Carrick	Joey Keane	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Garrett Pilon	60	1	2	2	Dillon Heatherington	Cal Foote	60	1	2	2
2	Dominic Turgeon	40	1	2	2	Trevor Carrick	Joey Keane	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Garrett Pilon	Dominic Turgeon	60	1	2	2
2	Joshua Ho-Sang	Patrick Russell	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dillon Heatherington	Cal Foote	60	1	2	2
2	Trevor Carrick	Joey Keane	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Dominic Turgeon	Garrett Pilon	Joshua Ho-Sang	Dillon Heatherington	Cal Foote

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Dominic Turgeon	Garrett Pilon	Joshua Ho-Sang	Dillon Heatherington	Cal Foote

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Joona Luoto, Ryan Spooner, D'Artagnan Joly	Joona Luoto, Ryan Spooner	D'Artagnan Joly

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Gustav Olofsson, Bode Wilde, Benjamin Mirageas	Gustav Olofsson	Bode Wilde, Benjamin Mirageas

Tirs de Pénalité
Garrett Pilon, Dominic Turgeon, Joshua Ho-Sang, Patrick Russell, Tomas Jurco

Gardien
#1 : Christopher Gibson, #2 : Spencer Martin

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	Baby Hawks	3	1	2	0	0	0	0	0	6	10	-4	1	1	0	0	0	0	0	0	4	2	2	2	0	2	0	0	0	0	0	2	8	-6	2	0.333	6	10	16	0	0	126	91	75	12	115	1042	1047	981	105	128	45	10	84	16	1	6.25%	5	1	80.00%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
2	Bears	2	1	0	0	0	0	0	1	5	5	0	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	5	9	14	0	0	126	91	75	12	78	1042	1047	981	105	89	20	11	52	3	0	0.00%	3	0	100.00%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
3	Bruins	2	1	1	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	6	11	17	0	0	126	91	75	12	70	1042	1047	981	105	92	12	15	52	3	0	0.00%	5	0	100.00%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
4	Cabaret Lady Mary Ann	2	2	0	0	0	0	0	0	13	3	10	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	7	1	6	4	1.000	13	24	37	0	0	126	91	75	12	121	1042	1047	981	105	56	21	10	50	3	0	0.00%	4	0	100.00%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
5	Caroline	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	7	13	20	0	0	126	91	75	12	64	1042	1047	981	105	74	26	14	38	4	2	50.00%	6	0	100.00%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
6	Chiefs	3	0	2	0	0	0	0	1	7	11	-4	1	0	0	0	0	0	0	1	2	3	-1	2	0	2	0	0	0	0	0	5	8	-3	1	0.167	7	11	18	0	0	126	91	75	12	108	1042	1047	981	105	117	35	24	61	11	2	18.18%	11	2	81.82%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
7	Chill	3	0	1	0	0	1	0	1	8	12	-4	1	0	0	0	0	0	0	1	3	4	-1	2	0	1	0	0	1	0	0	5	8	-3	2	0.333	8	15	23	1	0	126	91	75	12	99	1042	1047	981	105	118	35	31	68	6	0	0.00%	13	2	84.62%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
8	Comets	4	4	0	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	7	4	3	2	2	0	0	0	0	0	0	6	3	3	8	1.000	13	24	37	0	0	126	91	75	12	140	1042	1047	981	105	124	24	18	94	18	5	27.78%	9	1	88.89%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
9	Cougars	2	0	2	0	0	0	0	0	6	8	-2	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	6	11	17	0	0	126	91	75	12	49	1042	1047	981	105	84	24	18	41	6	2	33.33%	9	3	66.67%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
10	Crunch	2	1	1	0	0	0	0	0	4	7	-3	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	6	-5	2	0.500	4	7	11	0	0	126	91	75	12	72	1042	1047	981	105	83	21	18	47	5	0	0.00%	8	1	87.50%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
11	Heat	4	3	0	0	0	0	0	1	16	11	5	2	2	0	0	0	0	0	0	8	5	3	2	1	0	0	0	0	0	1	8	6	2	7	0.875	16	30	46	0	0	126	91	75	12	151	1042	1047	981	105	154	50	20	84	7	2	28.57%	9	2	77.78%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
12	Jayhawks	4	0	2	0	1	0	1	0	18	21	-3	2	0	1	0	0	0	1	0	10	11	-1	2	0	1	0	1	0	0	0	8	10	-2	4	0.500	18	30	48	1	0	126	91	75	12	162	1042	1047	981	105	152	45	30	104	13	3	23.08%	15	7	53.33%	1	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
13	Las Vegas	4	1	0	0	1	0	1	1	13	11	2	2	1	0	0	0	0	0	1	6	6	0	2	0	0	0	1	0	1	0	7	5	2	7	0.875	13	22	35	0	0	126	91	75	12	146	1042	1047	981	105	140	42	20	90	17	4	23.53%	9	1	88.89%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
14	Manchots	2	1	0	0	1	0	0	0	9	6	3	1	0	0	0	1	0	0	0	3	2	1	1	1	0	0	0	0	0	0	6	4	2	4	1.000	9	15	24	0	0	126	91	75	12	59	1042	1047	981	105	74	21	6	43	4	0	0.00%	3	1	66.67%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
15	Marlies	2	1	0	0	0	0	0	1	5	4	1	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	0	0	0	1	1	2	-1	3	0.750	5	9	14	0	0	126	91	75	12	53	1042	1047	981	105	74	18	12	32	2	0	0.00%	6	2	66.67%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
16	Minnesota	3	3	0	0	0	0	0	0	18	4	14	2	2	0	0	0	0	0	0	15	3	12	1	1	0	0	0	0	0	0	3	1	2	6	1.000	18	35	53	0	0	126	91	75	12	203	1042	1047	981	105	97	23	12	95	8	1	12.50%	6	0	100.00%	1	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
17	Monarchs	5	3	0	0	0	0	2	0	20	14	6	3	1	0	0	0	0	2	0	12	8	4	2	2	0	0	0	0	0	0	8	6	2	10	1.000	20	32	52	0	0	126	91	75	12	250	1042	1047	981	105	240	56	37	149	15	0	0.00%	16	1	93.75%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
18	Monsters	2	1	1	0	0	0	0	0	7	9	-2	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	2	7	-5	2	0.500	7	12	19	0	0	126	91	75	12	68	1042	1047	981	105	67	13	10	40	9	1	11.11%	5	0	100.00%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
19	Monsters	3	1	1	0	0	0	0	1	13	16	-3	1	0	0	0	0	0	0	1	7	8	-1	2	1	1	0	0	0	0	0	6	8	-2	3	0.500	13	23	36	0	0	126	91	75	12	118	1042	1047	981	105	125	42	22	64	9	1	11.11%	11	4	63.64%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
20	Oceanics	3	2	1	0	0	0	0	0	9	11	-2	2	2	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	3	8	-5	4	0.667	9	18	27	0	0	126	91	75	12	76	1042	1047	981	105	125	26	18	56	10	3	30.00%	8	3	62.50%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
21	Oil Kings	4	2	2	0	0	0	0	0	17	16	1	2	1	1	0	0	0	0	0	9	10	-1	2	1	1	0	0	0	0	0	8	6	2	4	0.500	17	30	47	1	0	126	91	75	12	157	1042	1047	981	105	162	41	29	100	6	1	16.67%	11	1	90.91%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
22	Phantoms	2	0	2	0	0	0	0	0	3	11	-8	1	0	1	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	3	5	8	0	0	126	91	75	12	59	1042	1047	981	105	81	28	20	42	5	0	0.00%	9	2	77.78%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
23	Rocket	2	1	0	0	0	0	1	0	9	7	2	1	1	0	0	0	0	0	0	6	5	1	1	0	0	0	0	0	1	0	3	2	1	4	1.000	9	16	25	0	0	126	91	75	12	73	1042	1047	981	105	62	28	14	36	16	4	25.00%	7	4	42.86%	1	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
24	Senators	2	0	1	0	0	0	1	0	8	8	0	1	0	1	0	0	0	0	0	4	5	-1	1	0	0	0	0	0	1	0	4	3	1	2	0.500	8	13	21	0	0	126	91	75	12	75	1042	1047	981	105	81	25	14	52	6	2	33.33%	5	0	100.00%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
25	Sharks	4	2	2	0	0	0	0	0	17	16	1	2	2	0	0	0	0	0	0	12	7	5	2	0	2	0	0	0	0	0	5	9	-4	4	0.500	17	31	48	0	0	126	91	75	12	151	1042	1047	981	105	169	49	36	100	6	0	0.00%	12	5	58.33%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
26	Sound Tigers	2	0	2	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	5	9	14	0	0	126	91	75	12	60	1042	1047	981	105	80	25	12	66	4	1	25.00%	5	1	80.00%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
27	Spiders	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	3	0	3	4	1.000	7	11	18	0	1	126	91	75	12	52	1042	1047	981	105	71	25	12	45	8	4	50.00%	5	1	80.00%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
28	Stars	3	2	1	0	0	0	0	0	11	9	2	2	2	0	0	0	0	0	0	8	5	3	1	0	1	0	0	0	0	0	3	4	-1	4	0.667	11	20	31	0	0	126	91	75	12	137	1042	1047	981	105	94	37	28	60	7	2	28.57%	11	1	90.91%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
29	Thunder	2	2	0	0	0	0	0	0	13	4	9	1	1	0	0	0	0	0	0	8	1	7	1	1	0	0	0	0	0	0	5	3	2	4	1.000	13	25	38	0	0	126	91	75	12	91	1042	1047	981	105	54	11	6	50	3	1	33.33%	3	1	66.67%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
	Total	82	41	24	0	3	1	6	7	301	260	41	41	27	6	0	1	0	3	4	175	123	52	41	14	18	0	2	1	3	3	126	137	-11	108	0.659	301	535	836	3	1	126	91	75	12	3135	1042	1047	981	105	3126	891	539	1935	232	43	18.53%	235	47	80.00%	3	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
30	Wolf Pack	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	3	1	2	4	1.000	8	14	22	0	0	126	91	75	12	78	1042	1047	981	105	59	23	12	40	2	1	50.00%	6	0	100.00%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
	_Since Last GM Reset	82	41	24	0	3	1	6	7	301	260	41	41	27	6	0	1	0	3	4	175	123	52	41	14	18	0	2	1	3	3	126	137	-11	108	0.659	301	535	836	3	1	126	91	75	12	3135	1042	1047	981	105	3126	891	539	1935	232	43	18.53%	235	47	80.00%	3	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534
	_Vs Conference	37	18	11	0	1	1	3	3	130	115	15	19	12	3	0	1	0	2	1	78	52	26	18	6	8	0	0	1	1	2	52	63	-11	48	0.649	130	229	359	1	1	126	91	75	12	1319	1042	1047	981	105	1474	387	252	887	86	13	15.12%	104	19	81.73%	0	1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%	2003	1402	1924	609	1071	534

			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	108	L1	301	535	836	3135	3126	891	539	1935	3	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	41	24	3	1	6	7	301	260

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	27	6	1	0	3	4	175	123

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	14	18	2	1	3	3	126	137

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
7	2	0	0	0	1

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
232	43	18.53%	235	47	80.00%	3

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
1042	1047	981	105	126	91	75	12

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
1550	2933	52.85%	1631	3037	53.70%	722	1365	52.89%

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
2003	1402	1924	609	1071	534

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
2 - 2020-10-23	12	Jayhawks	5	Admirals	6	W	X	X	Sommaire du Match
4 - 2020-10-25	28	Sharks	4	Admirals	8	W			Sommaire du Match
7 - 2020-10-28	40	Admirals	3	Cougars	4	L			Sommaire du Match
9 - 2020-10-30	50	Admirals	6	Manchots	4	W			Sommaire du Match
10 - 2020-10-31	59	Admirals	2	Monsters	7	L			Sommaire du Match
13 - 2020-11-03	78	Admirals	1	Bruins	2	L			Sommaire du Match
15 - 2020-11-05	96	Crunch	1	Admirals	3	W			Sommaire du Match
17 - 2020-11-07	112	Caroline	2	Admirals	3	W			Sommaire du Match
19 - 2020-11-09	128	Heat	2	Admirals	3	W			Sommaire du Match
21 - 2020-11-11	138	Admirals	2	Chill	4	L			Sommaire du Match
23 - 2020-11-13	152	Admirals	3	Stars	4	L			Sommaire du Match
25 - 2020-11-15	168	Admirals	2	Monsters	5	L			Sommaire du Match
26 - 2020-11-16	176	Admirals	3	Las Vegas	2	W	X	X	Sommaire du Match
28 - 2020-11-18	187	Oceanics	2	Admirals	4	W			Sommaire du Match
31 - 2020-11-21	202	Comets	2	Admirals	3	W			Sommaire du Match
33 - 2020-11-23	219	Baby Hawks	2	Admirals	4	W			Sommaire du Match
35 - 2020-11-25	233	Minnesota	1	Admirals	7	W			Sommaire du Match
40 - 2020-11-30	269	Oil Kings	6	Admirals	4	L			Sommaire du Match
42 - 2020-12-02	278	Cougars	4	Admirals	3	L			Sommaire du Match
44 - 2020-12-04	292	Sharks	3	Admirals	4	W			Sommaire du Match
46 - 2020-12-06	309	Admirals	2	Chiefs	4	L			Sommaire du Match
48 - 2020-12-08	316	Admirals	2	Bears	3	L	X	X	Sommaire du Match
51 - 2020-12-11	334	Admirals	7	Cabaret Lady Mary Ann	1	W			Sommaire du Match
53 - 2020-12-13	355	Admirals	5	Thunder	3	W			Sommaire du Match
55 - 2020-12-15	372	Sound Tigers	4	Admirals	3	L			Sommaire du Match
57 - 2020-12-17	386	Admirals	7	Jayhawks	6	W	X		Sommaire du Match
59 - 2020-12-19	392	Oceanics	1	Admirals	2	W			Sommaire du Match
62 - 2020-12-22	423	Monarchs	1	Admirals	3	W			Sommaire du Match
66 - 2020-12-26	451	Bears	2	Admirals	3	W			Sommaire du Match
68 - 2020-12-28	463	Admirals	3	Oceanics	8	L			Sommaire du Match
70 - 2020-12-30	476	Admirals	3	Minnesota	1	W			Sommaire du Match
72 - 2021-01-01	497	Monarchs	2	Admirals	3	W	X	X	Sommaire du Match
74 - 2021-01-03	503	Wolf Pack	2	Admirals	5	W			Sommaire du Match
77 - 2021-01-06	528	Admirals	2	Phantoms	4	L			Sommaire du Match
78 - 2021-01-07	535	Admirals	3	Spiders	0	W			Sommaire du Match
81 - 2021-01-10	553	Admirals	2	Sound Tigers	3	L			Sommaire du Match
82 - 2021-01-11	565	Admirals	3	Wolf Pack	1	W			Sommaire du Match
87 - 2021-01-16	591	Las Vegas	4	Admirals	3	L	X	X	Sommaire du Match
89 - 2021-01-18	610	Phantoms	7	Admirals	1	L			Sommaire du Match
91 - 2021-01-20	615	Admirals	4	Las Vegas	3	W	X		Sommaire du Match
93 - 2021-01-22	636	Admirals	1	Jayhawks	4	L			Sommaire du Match
96 - 2021-01-25	658	Chill	4	Admirals	3	L	X	X	Sommaire du Match
98 - 2021-01-27	674	Monsters	2	Admirals	5	W			Sommaire du Match
100 - 2021-01-29	687	Stars	2	Admirals	3	W			Sommaire du Match
102 - 2021-01-31	699	Admirals	1	Baby Hawks	4	L			Sommaire du Match
104 - 2021-02-02	713	Admirals	3	Chiefs	4	L			Sommaire du Match
107 - 2021-02-05	735	Admirals	3	Chill	4	L	X		Sommaire du Match
108 - 2021-02-06	741	Admirals	4	Caroline	2	W			Sommaire du Match
118 - 2021-02-16	773	Admirals	2	Sharks	4	L			Sommaire du Match
120 - 2021-02-18	778	Jayhawks	6	Admirals	4	L			Sommaire du Match
122 - 2021-02-20	791	Thunder	1	Admirals	8	W			Sommaire du Match
123 - 2021-02-21	804	Admirals	4	Monarchs	3	W			Sommaire du Match
126 - 2021-02-24	819	Admirals	4	Senators	3	W	X	X	Sommaire du Match
128 - 2021-02-26	828	Admirals	3	Rocket	2	W	X	X	Sommaire du Match
129 - 2021-02-27	839	Admirals	1	Marlies	2	L	X	X	Sommaire du Match
131 - 2021-03-01	856	Admirals	1	Crunch	6	L			Sommaire du Match
133 - 2021-03-03	876	Chiefs	3	Admirals	2	L	X	X	Sommaire du Match
135 - 2021-03-05	890	Heat	3	Admirals	5	W			Sommaire du Match
138 - 2021-03-08	909	Admirals	3	Comets	1	W			Sommaire du Match
139 - 2021-03-09	916	Admirals	5	Heat	2	W			Sommaire du Match
141 - 2021-03-11	930	Cabaret Lady Mary Ann	2	Admirals	6	W			Sommaire du Match
143 - 2021-03-13	947	Monsters	8	Admirals	7	L	X	X	Sommaire du Match
145 - 2021-03-15	965	Las Vegas	2	Admirals	3	W			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
147 - 2021-03-17	980	Oil Kings	4	Admirals	5	W			Sommaire du Match
150 - 2021-03-20	998	Manchots	2	Admirals	3	W	X		Sommaire du Match
152 - 2021-03-22	1015	Spiders	2	Admirals	4	W			Sommaire du Match
154 - 2021-03-24	1025	Admirals	1	Baby Hawks	4	L			Sommaire du Match
155 - 2021-03-25	1031	Admirals	4	Monsters	3	W			Sommaire du Match
157 - 2021-03-27	1048	Marlies	2	Admirals	4	W			Sommaire du Match
159 - 2021-03-29	1063	Minnesota	2	Admirals	8	W			Sommaire du Match
161 - 2021-03-31	1078	Senators	5	Admirals	4	L			Sommaire du Match
165 - 2021-04-04	1099	Admirals	4	Monarchs	3	W			Sommaire du Match
166 - 2021-04-05	1112	Rocket	5	Admirals	6	W			Sommaire du Match
169 - 2021-04-08	1136	Bruins	1	Admirals	5	W			Sommaire du Match
171 - 2021-04-10	1151	Comets	2	Admirals	4	W			Sommaire du Match
174 - 2021-04-13	1174	Admirals	5	Oil Kings	1	W			Sommaire du Match
176 - 2021-04-15	1187	Admirals	3	Heat	4	L	X	X	Sommaire du Match
179 - 2021-04-18	1215	Admirals	3	Comets	2	W			Sommaire du Match
180 - 2021-04-19	1221	Admirals	3	Oil Kings	5	L			Sommaire du Match
183 - 2021-04-22	1241	Stars	3	Admirals	5	W			Sommaire du Match
185 - 2021-04-24	1256	Monarchs	5	Admirals	6	W	X	X	Sommaire du Match
186 - 2021-04-25	1271	Admirals	3	Sharks	5	L			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	20
Assistance	78,012	26,581
Assistance PCT	95.14%	64.83%

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	2551 - 85.03%	79,562$	3,262,040$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,343,339$	2,350,000$	2,350,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
12,634$	2,343,339$	27	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	12,634$	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