OTHL - Admirals

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Greg Carey	X	X			100.00	76	71	88	63	71	76	81	60	75	53	62	66	59	50	50	64	50	62	0	31	1	800,000$
2	Morgan Frost	X				100.00	56	38	88	85	63	62	54	71	57	67	56	50	25	46	46	58	50	60	0	22	2	863,333$
3	J.C. Beaudin (R)	X				100.00	77	72	90	75	72	61	63	57	71	53	56	64	53	46	46	61	50	60	0	24	2	816,667$
4	Stefan Matteau		X			100.00	84	45	85	64	76	57	61	60	34	50	57	78	25	55	55	63	50	60	0	27	1	950,000$
5	Austin Poganski			X		100.00	76	71	86	65	75	69	54	57	48	56	54	63	25	44	44	58	50	58	0	25	2	750,000$
6	Lean Bergmann (R)		X	X		100.00	81	76	92	75	76	60	63	49	50	47	46	64	44	45	45	56	50	57	0	23	1	925,000$
7	Brandon Gignac (R)	X	X			100.00	69	63	84	63	63	66	69	55	69	55	48	62	46	55	55	57	50	57	0	24	2	921,666$
8	Adam Musil	X				100.00	81	77	90	66	77	69	75	49	61	45	47	64	45	44	44	56	50	57	0	27	2	750,000$
9	Nick Lappin		X	X		100.00	74	66	93	63	66	51	52	49	50	44	47	62	45	49	49	54	50	53	0	29	1	750,000$
10	Stuart Percy				X	100.00	72	69	79	58	69	72	78	52	25	49	41	60	39	44	44	54	50	58	0	28	1	750,000$
11	Dennis Robertson				X	100.00	79	78	81	62	78	60	64	46	25	32	43	64	41	52	52	52	50	58	0	30	2	750,000$
12	Aaron Harstad				X	100.00	73	73	72	63	73	40	40	39	25	47	35	56	33	44	44	1	50	52	0	29	2	750,000$
Rayé
1	Julius Bergman				X	100.00	79	75	89	62	75	65	70	47	25	39	39	63	37	45	45	52	50	58	0	26	2	750,000$

	MOYENNE D'ÉQUIPE					100.00	75	67	86	66	72	62	63	53	47	49	49	63	40	48	48	53	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	Pheonix Copley	100.00	52	56	70	82	49	57	55	59	57	57	30	46	46	55	50	57	0
2	Joseph Woll (R)	100.00	51	56	70	83	49	54	50	56	52	52	30	44	44	53	50	55	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	52	56	70	83	49	56	53	58	55	55	30	45	45	54	50	56

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Gerard Gallant	80	79	80	77	87	81	59	CAN	58	3	1,600,000$

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Astuces sur les Filtres (Anglais seulement)

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

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#	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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Greg Carey	Admirals (NSH)	C/LW	16	12	12	24	9	8	0	25	24	70	16	50	17.14%	6	287	17.98	2	0	2	5	21	0	0	0	0	30	3	1	60.51%	195	2	1.67	0	2	0	0	0	2	0	1
2	Stefan Matteau	Admirals (NSH)	LW	16	9	12	21	14	14	0	27	22	69	21	43	13.04%	4	247	15.50	0	1	1	1	15	0	0	0	0	5	2	0	66.67%	6	0	1.69	0	1	0	0	0	2	2	1
3	Morgan Frost	Admirals (NSH)	C	16	5	14	19	11	8	0	7	21	25	9	9	20.00%	7	266	16.68	1	0	1	2	1	0	0	0	0	1	0	0	54.10%	61	0	1.42	1	1	0	0	0	0	2	1
4	J.C. Beaudin	Admirals (NSH)	C	16	9	9	18	13	4	0	22	25	45	9	27	20.00%	4	203	12.71	0	0	0	2	4	0	0	0	1	11	1	1	73.99%	173	1	1.77	2	2	0	0	0	4	2	1
5	Austin Poganski	Admirals (NSH)	RW	16	3	12	15	15	8	0	15	16	50	11	34	6.00%	0	229	14.32	0	0	0	3	12	0	0	0	0	4	0	0	41.67%	12	0	1.31	0	0	0	0	0	0	0	1
6	Stuart Percy	Admirals (NSH)	D	16	1	10	11	4	4	0	25	7	20	8	12	5.00%	15	338	21.18	1	2	3	9	29	0	0	0	0	49	0	0	0.00%	0	0	0.65	0	0	0	0	0	0	0	0
7	Logan Shaw	Predators	C/RW	8	4	6	10	6	12	0	15	12	34	14	28	11.76%	1	150	18.75	0	1	1	3	13	0	1	1	2	13	2	0	63.86%	83	0	1.33	1	3	0	0	0	0	2	0
8	Dennis Robertson	Admirals (NSH)	D	16	5	5	10	7	26	10	36	8	26	10	25	19.23%	17	311	19.44	2	2	4	12	29	0	0	0	0	46	0	0	0.00%	0	0	0.64	0	0	2	0	0	0	1	1
9	Aaron Harstad	Admirals (NSH)	D	13	1	8	9	9	20	0	27	3	14	8	13	7.14%	16	237	18.30	1	3	4	10	26	0	1	1	0	39	0	0	0.00%	0	0	0.76	0	0	0	0	0	0	1	2
10	Lean Bergmann	Admirals (NSH)	LW/RW	16	5	3	8	12	8	0	9	11	20	7	18	25.00%	2	157	9.85	0	0	0	0	0	0	0	0	0	3	0	0	66.67%	6	0	1.02	0	1	0	0	0	0	2	0
11	Brandon Hagel	Predators	LW	4	5	2	7	5	0	0	2	10	21	1	9	23.81%	2	94	23.69	1	0	1	4	9	2	0	2	2	15	1	1	33.33%	45	0	1.48	0	1	0	0	0	3	0	0
12	Nick Lappin	Admirals (NSH)	LW/RW	16	2	4	6	8	4	0	8	4	15	2	9	13.33%	0	79	4.97	0	0	0	0	0	0	0	0	0	0	1	0	57.14%	7	0	1.51	0	0	0	0	0	1	0	0
13	Julius Bergman	Admirals (NSH)	D	12	3	2	5	7	38	10	16	4	19	5	9	15.79%	9	217	18.10	3	1	4	12	21	0	0	0	1	35	0	0	0.00%	0	0	0.46	0	0	0	0	2	1	0	0
14	Brandon Gignac	Admirals (NSH)	C/LW	16	4	1	5	15	6	0	11	16	21	4	15	19.05%	5	208	13.02	0	0	0	1	5	0	0	0	0	33	1	1	40.00%	20	0	0.48	1	1	0	0	0	1	0	1
15	Dylan Cozens	Predators	C/RW	5	0	4	4	0	2	0	4	10	14	4	12	0.00%	1	97	19.51	0	1	1	1	11	0	0	0	0	10	0	0	52.94%	17	0	0.82	1	2	0	0	0	0	1	0
16	Adam Musil	Admirals (NSH)	C	16	0	3	3	10	31	5	46	8	13	4	6	0.00%	7	236	14.76	0	0	0	0	1	0	0	0	0	3	0	0	65.63%	32	0	0.25	0	0	0	1	0	0	0	0
Stats d'équipe Total ou en Moyenne				218	68	107	175	145	193	25	295	201	476	133	319	14.29%	96	3363	15.43	11	11	22	65	206	2	2	4	6	305	11	4	61.19%	657	3	1.04	6	14	2	1	2	14	13	9

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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	GA	SA	A	PS %	PSA	ST	BG	S3
1	Pheonix Copley	Admirals (NSH)	16	13	2	1	0.892	2.35	944	2	37	343	3	0.706	17	16	0	1
2	Joseph Woll	Admirals (NSH)	1	0	0	0	0.917	1.77	34	0	1	12	0	0.000	0	0	16	0
Stats d'équipe Total ou en Moyenne			17	13	2	1	0.893	2.33	978	2	38	355	3	0.706	17	16	16	1

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Link
Aaron Harstad	Admirals (NSH)	D	29	1992-07-01	No	198 Lbs	6 ft2	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	Lien
Adam Musil	Admirals (NSH)	C	27	1994-03-26	No	202 Lbs	6 ft4	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	Lien
Austin Poganski	Admirals (NSH)	RW	25	1996-02-16	No	201 Lbs	6 ft2	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	Lien / Lien NHL
Brandon Gignac	Admirals (NSH)	C/LW	24	1997-11-07	Yes	173 Lbs	5 ft11	No	No	No	2	Pro & Farm	921,666$	921,666$	0$	0$	No	921,666$	Lien / Lien NHL
Dennis Robertson	Admirals (NSH)	D	30	1991-05-24	No	215 Lbs	6 ft1	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	Lien
Greg Carey	Admirals (NSH)	C/LW	31	1990-04-05	No	195 Lbs	6 ft0	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	0$	No		Lien / Lien NHL
J.C. Beaudin	Admirals (NSH)	C	24	1997-03-25	Yes	196 Lbs	6 ft1	No	No	No	2	Pro & Farm	816,667$	816,667$	0$	0$	No	816,667$	Lien / Lien NHL
Joseph Woll	Admirals (NSH)	G	23	1998-07-12	Yes	203 Lbs	6 ft4	No	No	No	2	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$	Lien / Lien NHL
Julius Bergman	Admirals (NSH)	D	26	1995-11-02	No	205 Lbs	6 ft1	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	Lien
Lean Bergmann	Admirals (NSH)	LW/RW	23	1998-10-04	Yes	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No		Lien / Lien NHL
Morgan Frost	Admirals (NSH)	C	22	1999-05-14	No	170 Lbs	5 ft11	No	No	No	2	Pro & Farm	863,333$	863,333$	0$	0$	No	863,333$	Lien / Lien NHL
Nick Lappin	Admirals (NSH)	LW/RW	29	1992-11-01	No	175 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No		Lien / Lien NHL
Pheonix Copley	Admirals (NSH)	G	29	1992-01-18	No	198 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,250,000$	1,250,000$	0$	0$	No		Lien / Lien NHL
Stefan Matteau	Admirals (NSH)	LW	27	1994-02-23	No	208 Lbs	6 ft2	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	0$	No		Lien / Lien NHL
Stuart Percy	Admirals (NSH)	D	28	1993-05-18	No	187 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
15	26.47	195 Lbs	6 ft2	1.60	838,444$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				40	1	2	2
2	Stefan Matteau	Greg Carey	Austin Poganski	30	1	2	2
3	Brandon Gignac	J.C. Beaudin	Lean Bergmann	20	1	2	2
4	Nick Lappin	Morgan Frost		10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Robertson	Stuart Percy	40	1	2	2
2		Aaron Harstad	30	1	2	2
3	Morgan Frost	Adam Musil	20	1	2	2
4	Dennis Robertson	Stuart Percy	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				60	1	2	2
2	Stefan Matteau	Greg Carey	Austin Poganski	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Robertson	Stuart Percy	60	1	2	2
2		Aaron Harstad	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2		Greg Carey	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Robertson	Stuart Percy	60	1	2	2
2		Aaron Harstad	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2	Dennis Robertson	Stuart Percy	60	1	2	2
2		40	1	2	2		Aaron Harstad	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2		Greg Carey	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Robertson	Stuart Percy	60	1	2	2
2		Aaron Harstad	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
			Dennis Robertson	Stuart Percy

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
			Dennis Robertson	Stuart Percy

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
J.C. Beaudin, Adam Musil, Brandon Gignac	J.C. Beaudin, Adam Musil	Brandon Gignac

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Aaron Harstad, Dennis Robertson		Aaron Harstad, Dennis Robertson

Tirs de Pénalité
, , , Greg Carey, Stefan Matteau

Gardien
#1 : Pheonix Copley, #2 : Joseph Woll

Lignes d'Attaque Perso. en Prol.
, , , Greg Carey, Stefan Matteau, J.C. Beaudin, J.C. Beaudin, Morgan Frost, Austin Poganski, Adam Musil, Brandon Gignac

Lignes de Défense Perso. en Prol.
Dennis Robertson, Stuart Percy, , Aaron Harstad,

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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

	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	Americans	2	0	0	0	1	0	1	0	8	6	2	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	1	0	0	0	4	3	1	4	1.000	8	11	19	0	0	28	30	11	7	64	142	189	161	35	32	11	24	36	7	0	0.00%	6	1	83.33%	0	217	400	54.25%	174	382	45.55%	133	237	56.12%	486	377	315	94	176	96
2	IceHogs	2	0	2	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	2	3	5	0	0	28	30	11	7	37	142	189	161	35	64	15	20	29	10	1	10.00%	10	3	70.00%	0	217	400	54.25%	174	382	45.55%	133	237	56.12%	486	377	315	94	176	96
3	Mariners	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	6	4	2	4	1.000	9	16	25	0	0	28	30	11	7	48	142	189	161	35	61	13	24	36	4	0	0.00%	12	0	100.00%	1	217	400	54.25%	174	382	45.55%	133	237	56.12%	486	377	315	94	176	96
4	Moose	2	1	0	0	0	0	1	0	10	5	5	1	1	0	0	0	0	0	0	6	2	4	1	0	0	0	0	0	1	0	4	3	1	4	1.000	10	14	24	0	0	28	30	11	7	55	142	189	161	35	53	19	35	52	11	5	45.45%	10	1	90.00%	0	217	400	54.25%	174	382	45.55%	133	237	56.12%	486	377	315	94	176	96
5	Rampage	2	2	0	0	0	0	0	0	15	2	13	1	1	0	0	0	0	0	0	11	1	10	1	1	0	0	0	0	0	0	4	1	3	4	1.000	15	26	41	0	0	28	30	11	7	91	142	189	161	35	27	12	14	41	3	1	33.33%	7	1	85.71%	0	217	400	54.25%	174	382	45.55%	133	237	56.12%	486	377	315	94	176	96
6	Stars	2	2	0	0	0	0	0	0	11	5	6	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	6	2	4	4	1.000	11	18	29	0	0	28	30	11	7	94	142	189	161	35	53	5	33	38	5	3	60.00%	9	2	77.78%	0	217	400	54.25%	174	382	45.55%	133	237	56.12%	486	377	315	94	176	96
7	Wild	2	2	0	0	0	0	0	0	13	3	10	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	8	2	6	4	1.000	13	24	37	0	0	28	30	11	7	80	142	189	161	35	33	18	17	45	3	0	0.00%	6	0	100.00%	0	217	400	54.25%	174	382	45.55%	133	237	56.12%	486	377	315	94	176	96
8	Wolves	2	1	0	0	0	0	0	1	4	4	0	1	0	0	0	0	0	0	1	2	3	-1	1	1	0	0	0	0	0	0	2	1	1	3	0.750	4	5	9	0	0	28	30	11	7	41	142	189	161	35	32	10	34	43	5	1	20.00%	15	3	80.00%	1	217	400	54.25%	174	382	45.55%	133	237	56.12%	486	377	315	94	176	96
	Total	16	10	2	0	1	0	2	1	72	39	33	8	5	1	0	0	0	1	1	38	18	20	8	5	1	0	1	0	1	0	34	21	13	27	0.844	72	117	189	0	0	28	30	11	7	510	142	189	161	35	355	103	201	320	48	11	22.92%	75	11	85.33%	2	217	400	54.25%	174	382	45.55%	133	237	56.12%	486	377	315	94	176	96
	_Since Last GM Reset	16	10	2	0	1	0	2	1	72	39	33	8	5	1	0	0	0	1	1	38	18	20	8	5	1	0	1	0	1	0	34	21	13	27	0.844	72	117	189	0	0	28	30	11	7	510	142	189	161	35	355	103	201	320	48	11	22.92%	75	11	85.33%	2	217	400	54.25%	174	382	45.55%	133	237	56.12%	486	377	315	94	176	96
	_Vs Conference	16	10	2	0	1	0	2	1	72	39	33	8	5	1	0	0	0	1	1	38	18	20	8	5	1	0	1	0	1	0	34	21	13	27	0.844	72	117	189	0	0	28	30	11	7	510	142	189	161	35	355	103	201	320	48	11	22.92%	75	11	85.33%	2	217	400	54.25%	174	382	45.55%	133	237	56.12%	486	377	315	94	176	96
	_Vs Division	10	10	2	0	1	0	2	1	51	23	28	5	5	1	0	0	0	1	1	29	10	19	5	5	1	0	1	0	1	0	22	13	9	27	1.350	51	85	136	0	0	28	30	11	7	357	142	189	161	35	230	69	119	205	32	10	31.25%	42	7	83.33%	0	217	400	54.25%	174	382	45.55%	133	237	56.12%	486	377	315	94	176	96

			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
16	27	W2	72	117	189	510	355	103	201	320	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	10	2	1	0	2	1	72	39

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	1	0	0	1	1	38	18

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	1	1	0	1	0	34	21

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
7	2	0	0	1	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
48	11	22.92%	75	11	85.33%	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
142	189	161	35	28	30	11	7

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
217	400	54.25%	174	382	45.55%	133	237	56.12%

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
486	377	315	94	176	96

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
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
1 - 2021-10-18	9	Rampage	1	Admirals	11	W			Sommaire du Match
2 - 2021-10-19	30	Stars	3	Admirals	5	W			Sommaire du Match
4 - 2021-10-21	37	Admirals	4	Moose	3	W	X	X	Sommaire du Match
5 - 2021-10-22	59	Admirals	6	Mariners	4	W			Sommaire du Match
6 - 2021-10-23	60	Admirals	4	Americans	3	W	X		Sommaire du Match
7 - 2021-10-24	86	Wolves	3	Admirals	2	L	X	X	Sommaire du Match
8 - 2021-10-25	94	Admirals	2	Wolves	1	W			Sommaire du Match
9 - 2021-10-26	113	Americans	3	Admirals	4	W	X	X	Sommaire du Match
11 - 2021-10-28	136	Admirals	0	IceHogs	5	L			Sommaire du Match
12 - 2021-10-29	142	Admirals	4	Rampage	1	W			Sommaire du Match
13 - 2021-10-30	156	Moose	2	Admirals	6	W			Sommaire du Match
14 - 2021-10-31	175	Admirals	6	Stars	2	W			Sommaire du Match
16 - 2021-11-02	186	Wild	1	Admirals	5	W			Sommaire du Match
18 - 2021-11-04	214	IceHogs	3	Admirals	2	L			Sommaire du Match
19 - 2021-11-05	229	Admirals	8	Wild	2	W			Sommaire du Match
21 - 2021-11-07	243	Mariners	2	Admirals	3	W			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	100	0
Assistance	0	0
Assistance PCT	0.00%	0.00%

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

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	1,257,667$	1,243,667$	0$

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

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

Afficher ou Masquer des Colonnes

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	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

	Admirals
	GP: 16 \| W: 13 \| L: 2 \| OTL: 1 \| P: 27 GF: 72 \| GA: 39 \| PP%: 22.92% \| PK%: 85.33% DG: Tyler W \| Morale : 50 \| Moyenne d'Équipe : 57