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	Andy Andreoff	X	X			100.00	80	55	82	70	74	57	81	53	48	57	56	62	25	63	64	0	50	59	0	28	2	650,000$
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	Trent Frederic	X				100.00	68	70	49	65	75	71	83	60	65	56	52	62	50	45	45	0	50	58	0	21	2	895,000$
8	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$
9	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$
10	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$
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	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$
13	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$
14	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$
15	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$
16	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$
Rayé
1	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$
2	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$
3	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$
4	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$
5	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$
6	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$
7	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$
8	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	60	54	75	62	68	57	61	49	44	47	46	57	41	46	45	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	Ales Stezka (R)	100.00	36	40	38	71	35	34	34	34	34	34	33	32	30	0	50	39	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	47	52	59	72	47	49	44	48	47	46	32	39	38	0	50	49

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

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

#	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	55	27	44	71	24	20	0	88	229	287	75	200	9.41%	19	1364	24.82	6	8	14	37	133	0	1	1	6	147	5	2	57.49%	1903	0	1	1.04	2	9	0	0	0	5	5	1
2	Joshua Ho-Sang	Admirals (Ana)	RW	55	25	35	60	22	20	0	50	152	256	76	179	9.77%	26	1005	18.29	3	8	11	40	134	0	0	0	1	67	3	2	48.53%	136	0	0	1.19	1	4	0	0	0	1	2	6
3	Tomas Jurco	Admirals (Ana)	LW/RW	55	19	30	49	16	12	0	40	107	215	54	153	8.84%	15	1009	18.36	2	2	4	25	118	0	0	0	0	53	3	0	42.31%	52	0	0	0.97	1	1	0	0	0	0	6	2
4	Dominic Turgeon	Anaheim	C/LW	39	15	27	42	17	30	0	106	76	192	50	146	7.81%	24	932	23.92	0	4	4	29	99	1	0	1	6	91	3	0	48.94%	141	2	0	0.90	1	5	0	0	0	3	3	2
5	Tanner MacMaster	Admirals (Ana)	C	52	13	26	39	14	10	0	87	121	126	49	108	10.32%	11	709	13.64	1	4	5	14	88	0	0	0	0	2	6	1	57.16%	1020	0	0	1.10	0	0	0	0	0	2	5	2
6	Joona Luoto	Admirals (Ana)	LW/RW	52	16	20	36	15	6	0	29	76	182	45	126	8.79%	13	805	15.50	3	3	6	19	82	0	0	0	0	2	0	1	33.33%	45	0	1	0.89	0	0	0	0	0	1	2	1
7	Dillon Heatherington	Admirals (Ana)	D	52	7	27	34	7	67	15	211	67	74	44	80	9.46%	109	1294	24.90	2	5	7	13	134	0	0	0	0	115	2	1	0.00%	0	0	0	0.53	0	0	1	1	1	2	1	1
8	Trevor Carrick	Admirals (Ana)	D	52	6	22	28	2	46	0	126	44	83	30	61	7.23%	76	1073	20.65	2	6	8	35	111	0	0	0	2	86	0	0	0.00%	0	0	0	0.52	0	0	0	0	0	0	0	5
9	Gustav Olofsson	Admirals (Ana)	D	52	4	21	25	19	16	0	76	38	59	20	38	6.78%	86	1001	19.26	2	3	5	13	99	0	0	0	1	90	1	0	0.00%	0	0	0	0.50	0	0	0	0	0	1	0	0
10	Patrick Russell	Admirals (Ana)	LW/RW	16	10	9	19	4	2	0	43	39	71	16	41	14.08%	3	322	20.17	2	3	5	16	34	0	0	0	0	46	1	0	51.52%	33	0	0	1.18	0	4	0	0	0	2	3	1
11	Andy Andreoff	Admirals (Ana)	C/LW	19	11	5	16	4	16	0	65	43	65	28	54	16.92%	10	386	20.36	1	0	1	4	37	1	0	1	1	33	0	1	41.88%	351	0	0	0.83	2	4	0	0	0	2	0	2
12	D'Artagnan Joly	Admirals (Ana)	RW	55	9	7	16	-20	6	0	59	111	158	39	78	5.70%	13	757	13.78	0	0	0	0	14	0	0	0	0	0	1	0	59.18%	49	0	0	0.42	0	0	0	0	0	0	1	1
13	Bode Wilde	Admirals (Ana)	D	55	3	11	14	-9	31	5	135	43	51	18	44	5.88%	99	862	15.69	0	0	0	4	21	0	0	0	1	23	0	0	0.00%	0	0	0	0.32	0	0	1	0	0	0	1	1
14	Joey Keane	Admirals (Ana)	D	22	2	11	13	6	12	0	32	22	32	7	22	6.25%	33	472	21.46	0	1	1	13	41	0	0	0	1	53	1	1	0.00%	0	0	0	0.55	0	0	0	0	0	0	0	1
15	Ryan Spooner	Admirals (Ana)	C/LW	19	4	8	12	2	0	0	2	29	44	8	41	9.09%	1	290	15.31	0	0	0	0	0	0	1	1	0	33	0	1	58.72%	109	0	0	0.83	1	1	0	0	0	0	1	0
16	Trent Frederic	Admirals (Ana)	C	16	4	6	10	3	20	0	41	41	42	9	23	9.52%	5	234	14.64	0	0	0	1	4	0	0	0	0	6	0	0	53.14%	271	0	0	0.85	0	0	0	0	0	1	0	0
17	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
18	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
19	Matt Hunwick	Admirals (Ana)	D	16	0	2	2	5	0	0	7	9	11	1	6	0.00%	16	243	15.22	0	0	0	0	3	0	0	0	0	6	0	0	0.00%	0	0	0	0.16	0	0	0	0	0	0	0	0
20	Benjamin Mirageas	Admirals (Ana)	D	11	0	2	2	-8	2	0	4	1	0	0	0	0.00%	8	161	14.65	0	0	0	0	0	0	0	0	0	13	0	0	0.00%	0	0	0	0.25	0	0	0	0	0	0	0	0
21	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
22	Cal Foote	Anaheim	D	7	0	1	1	3	6	0	15	7	11	0	8	0.00%	5	157	22.57	0	0	0	0	12	0	0	0	1	18	0	0	0.00%	0	0	0	0.13	0	0	0	0	0	0	0	0
23	Jack Badini	Admirals (Ana)	C	14	0	1	1	-10	4	0	10	12	13	2	11	0.00%	0	192	13.78	0	0	0	0	5	0	0	0	0	7	0	0	49.02%	204	0	0	0.10	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				762	177	322	499	112	334	20	1246	1290	2006	580	1436	8.82%	586	13749	18.04	24	47	71	263	1187	2	3	5	22	930	26	11	54.32%	4343	2	2	0.73	8	28	2	1	1	20	30	27

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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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Christopher Gibson	Admirals (Ana)	49	28	16	5	0.926	2.83	2907	10	1	137	1841	3	0.760	25	49	0	8	4	3
2	Ales Stezka	Admirals (Ana)	3	0	0	0	0.933	2.31	78	0	0	3	45	0	0.000	0	0	45	0	0	0
Stats d'équipe Total ou en Moyenne			52	28	16	5	0.926	2.81	2986	10	1	140	1886	3	0.760	25	49	45	8	4	3

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	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$	199,193$	65,000$	19,919$	No				Lien
Andy Andreoff	Admirals (Ana)	C/LW	28	1991-05-17	No	203 Lbs	6 ft1	No	No	No	2	Pro & Farm	650,000$	199,193$	65,000$	19,919$	No	650,000$			Lien
Benjamin Mirageas	Admirals (Ana)	D	20	1999-05-08	Yes	181 Lbs	6 ft1	No	No	No	4	Pro & Farm	525,000$	160,887$	52,500$	16,089$	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$	238,521$	77,833$	23,852$	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$	214,516$	70,000$	21,452$	No				Lien
Christopher Gibson	Admirals (Ana)	G	26	1992-12-27	No	188 Lbs	6 ft1	No	No	No	2	Pro & Farm	800,000$	245,161$	80,000$	24,516$	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$	199,193$	65,000$	19,919$	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$	183,870$	60,000$	18,387$	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$	214,516$	70,000$	21,452$	No	700,000$			Lien
Garrett Pilon	Admirals (Ana)	C	21	1998-04-13	No	175 Lbs	5 ft10	No	No	No	2	Pro & Farm	742,500$	227,540$	74,250$	22,754$	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$	229,838$	75,000$	22,984$	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$	246,693$	80,500$	24,669$	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$	214,516$	70,000$	21,452$	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$	247,970$	80,917$	24,797$	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$	171,612$	56,000$	17,161$	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$	306,451$	100,000$	30,645$	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$	252,822$	82,500$	25,282$	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$	227,540$	74,250$	22,754$	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$	227,540$	74,250$	22,754$	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$	858,064$	280,000$	85,806$	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$	283,467$	92,500$	28,347$	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$	735,483$	240,000$	73,548$	No	2,400,000$			Lien
Tanner MacMaster	Admirals (Ana)	C	23	1996-01-08	No	185 Lbs	6 ft0	Yes	No	No	1	Pro & Farm	560,000$	171,612$	56,000$	17,161$	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$	229,838$	75,000$	22,984$	No	750,000$			Lien
Trent Frederic	Admirals (Ana)	C	21	1998-02-11	No	203 Lbs	6 ft2	No	No	No	2	Pro & Farm	895,000$	274,274$	89,500$	27,427$	No	895,000$			Lien
Trevor Carrick	Admirals (Ana)	D	25	1994-07-04	No	186 Lbs	6 ft2	Yes	No	No	1	Pro & Farm	560,000$	171,612$	56,000$	17,161$	No				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	23.77	190 Lbs	6 ft1	2.23	870,000$

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

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

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

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

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

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dillon Heatherington	Trevor Carrick	60	1	2	2
2	Joey Keane	Gustav Olofsson	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	Trevor Carrick	60	1	2	2
2	Patrick Russell	40	1	2	2	Joey Keane	Gustav Olofsson	40	1	2	2

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

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

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Patrick Russell	Garrett Pilon	Joshua Ho-Sang	Dillon Heatherington	Trevor Carrick

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Patrick Russell	Garrett Pilon	Joshua Ho-Sang	Dillon Heatherington	Trevor Carrick

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Trent Frederic, Tanner MacMaster, Ryan Spooner	Trent Frederic, Tanner MacMaster	Ryan Spooner

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Matt Hunwick, Bode Wilde, Joey Keane	Matt Hunwick	Bode Wilde, Joey Keane

Tirs de Pénalité
Garrett Pilon, Patrick Russell, Andy Andreoff, Joshua Ho-Sang,

Gardien
#1 : Christopher Gibson, #2 : Ales Stezka

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	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	5	9	14	0	0	76	57	49	10	76	657	718	652	72	85	31	8	56	11	1	9.09%	4	1	75.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
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	76	57	49	10	78	657	718	652	72	89	20	11	52	3	0	0.00%	3	0	100.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
3	Bruins	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	76	57	49	10	26	657	718	652	72	49	8	6	25	2	0	0.00%	3	0	100.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
4	Cabaret Lady Mary Ann	1	1	0	0	0	0	0	0	7	1	6	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	1	6	2	1.000	7	13	20	0	0	76	57	49	10	72	657	718	652	72	24	12	6	28	2	0	0.00%	3	0	100.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
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	76	57	49	10	64	657	718	652	72	74	26	14	38	4	2	50.00%	6	0	100.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
6	Chiefs	2	0	2	0	0	0	0	0	5	8	-3	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	5	8	-3	0	0.000	5	8	13	0	0	76	57	49	10	80	657	718	652	72	88	28	14	45	7	1	14.29%	7	1	85.71%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
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	76	57	49	10	99	657	718	652	72	118	35	31	68	6	0	0.00%	13	2	84.62%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
8	Comets	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	76	57	49	10	38	657	718	652	72	36	8	2	19	5	1	20.00%	1	0	100.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
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	76	57	49	10	49	657	718	652	72	84	24	18	41	6	2	33.33%	9	3	66.67%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
10	Crunch	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	76	57	49	10	36	657	718	652	72	31	11	8	20	2	0	0.00%	4	0	100.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
11	Heat	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	76	57	49	10	42	657	718	652	72	47	21	8	24	1	0	0.00%	4	1	75.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
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	76	57	49	10	162	657	718	652	72	152	45	30	104	13	3	23.08%	15	7	53.33%	1	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
13	Las Vegas	3	0	0	0	1	0	1	1	10	9	1	1	0	0	0	0	0	0	1	3	4	-1	2	0	0	0	1	0	1	0	7	5	2	5	0.833	10	17	27	0	0	76	57	49	10	112	657	718	652	72	111	31	10	61	13	3	23.08%	4	0	100.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
14	Manchots	1	1	0	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	4	2	2	1.000	6	9	15	0	0	76	57	49	10	26	657	718	652	72	33	11	4	20	3	0	0.00%	2	0	100.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
15	Marlies	1	0	0	0	0	0	0	1	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	2	-1	1	0.500	1	2	3	0	0	76	57	49	10	21	657	718	652	72	41	10	2	19	0	0	0.00%	1	0	100.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
16	Minnesota	2	2	0	0	0	0	0	0	10	2	8	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	3	1	2	4	1.000	10	19	29	0	0	76	57	49	10	139	657	718	652	72	73	17	8	54	5	0	0.00%	4	0	100.00%	1	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
17	Monarchs	3	2	0	0	0	0	1	0	10	6	4	2	1	0	0	0	0	1	0	6	3	3	1	1	0	0	0	0	0	0	4	3	1	6	1.000	10	17	27	0	0	76	57	49	10	145	657	718	652	72	151	35	25	87	10	0	0.00%	10	1	90.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
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	76	57	49	10	68	657	718	652	72	67	13	10	40	9	1	11.11%	5	0	100.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
19	Monsters	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	3	5	0	0	76	57	49	10	30	657	718	652	72	36	20	8	25	0	0	0.00%	4	3	25.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
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	76	57	49	10	76	657	718	652	72	125	26	18	56	10	3	30.00%	8	3	62.50%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
21	Oil Kings	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	8	12	1	0	76	57	49	10	36	657	718	652	72	49	7	4	21	1	1	100.00%	2	1	50.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
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	76	57	49	10	59	657	718	652	72	81	28	20	42	5	0	0.00%	9	2	77.78%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
23	Rocket	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	3	2	1	2	1.000	3	4	7	0	0	76	57	49	10	37	657	718	652	72	28	9	2	16	9	1	11.11%	1	1	0.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
24	Senators	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	76	57	49	10	40	657	718	652	72	44	15	6	25	2	0	0.00%	3	0	100.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
25	Sharks	3	2	1	0	0	0	0	0	14	11	3	2	2	0	0	0	0	0	0	12	7	5	1	0	1	0	0	0	0	0	2	4	-2	4	0.667	14	27	41	0	0	76	57	49	10	118	657	718	652	72	132	40	27	79	4	0	0.00%	10	3	70.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
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	76	57	49	10	60	657	718	652	72	80	25	12	66	4	1	25.00%	5	1	80.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
27	Spiders	1	1	0	0	0	0	0	0	3	0	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	0	3	2	1.000	3	3	6	0	1	76	57	49	10	24	657	718	652	72	24	7	4	20	4	2	50.00%	1	0	100.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
28	Stars	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	6	11	17	0	0	76	57	49	10	88	657	718	652	72	71	28	20	47	4	1	25.00%	8	1	87.50%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
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	76	57	49	10	91	657	718	652	72	54	11	6	50	3	1	33.33%	3	1	66.67%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
	Total	55	24	19	0	2	1	5	4	189	173	16	25	16	5	0	0	0	2	2	98	72	26	30	8	14	0	2	1	3	2	91	101	-10	67	0.609	189	334	523	3	1	76	57	49	10	2070	657	718	652	72	2136	625	354	1288	150	25	16.67%	158	32	79.75%	2	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
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	76	57	49	10	78	657	718	652	72	59	23	12	40	2	1	50.00%	6	0	100.00%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
	_Since Last GM Reset	55	24	19	0	2	1	5	4	189	173	16	25	16	5	0	0	0	2	2	98	72	26	30	8	14	0	2	1	3	2	91	101	-10	67	0.609	189	334	523	3	1	76	57	49	10	2070	657	718	652	72	2136	625	354	1288	150	25	16.67%	158	32	79.75%	2	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353
	_Vs Conference	29	14	9	0	0	1	2	3	97	90	7	13	9	2	0	0	0	1	1	52	35	17	16	5	7	0	0	1	1	2	45	55	-10	36	0.621	97	173	270	1	1	76	57	49	10	1009	657	718	652	72	1147	307	194	689	67	9	13.43%	82	13	84.15%	0	983	1897	51.82%	1068	2049	52.12%	476	920	51.74%	1305	909	1326	411	722	353

			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
55	67	SOL1	189	334	523	2070	2136	625	354	1288	3	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
55	24	19	2	1	5	4	189	173

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
25	16	5	0	0	2	2	98	72

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	8	14	2	1	3	2	91	101

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	3	0	1	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
150	25	16.67%	158	32	79.75%	2

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
657	718	652	72	76	57	49	10

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
983	1897	51.82%	1068	2049	52.12%	476	920	51.74%

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
1305	909	1326	411	722	353

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	-	Crunch	-
133 - 2021-03-03	876	Chiefs	-	Admirals	-
135 - 2021-03-05	890	Heat	-	Admirals	-
138 - 2021-03-08	909	Admirals	-	Comets	-
139 - 2021-03-09	916	Admirals	-	Heat	-
141 - 2021-03-11	930	Cabaret Lady Mary Ann	-	Admirals	-
143 - 2021-03-13	947	Monsters	-	Admirals	-
145 - 2021-03-15	965	Las Vegas	-	Admirals	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
147 - 2021-03-17	980	Oil Kings	-	Admirals	-
150 - 2021-03-20	998	Manchots	-	Admirals	-
152 - 2021-03-22	1015	Spiders	-	Admirals	-
154 - 2021-03-24	1025	Admirals	-	Baby Hawks	-
155 - 2021-03-25	1031	Admirals	-	Monsters	-
157 - 2021-03-27	1048	Marlies	-	Admirals	-
159 - 2021-03-29	1063	Minnesota	-	Admirals	-
161 - 2021-03-31	1078	Senators	-	Admirals	-
165 - 2021-04-04	1099	Admirals	-	Monarchs	-
166 - 2021-04-05	1112	Rocket	-	Admirals	-
169 - 2021-04-08	1136	Bruins	-	Admirals	-
171 - 2021-04-10	1151	Comets	-	Admirals	-
174 - 2021-04-13	1174	Admirals	-	Oil Kings	-
176 - 2021-04-15	1187	Admirals	-	Heat	-
179 - 2021-04-18	1215	Admirals	-	Comets	-
180 - 2021-04-19	1221	Admirals	-	Oil Kings	-
183 - 2021-04-22	1241	Stars	-	Admirals	-
185 - 2021-04-24	1256	Monarchs	-	Admirals	-
186 - 2021-04-25	1271	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	20
Assistance	48,049	16,272
Assistance PCT	96.10%	65.09%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
16	2573 - 85.76%	80,286$	2,007,155$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,621,077$	2,262,000$	2,262,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
12,161$	1,621,077$	26	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
1,284,579$	57	12,161$	693,177$

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