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	Morgan Frost (R)	X				100.00	59	40	93	85	63	65	77	75	60	70	59	53	25	45	45	64	50	63	0	22	3	863,333$
2	Gaetan Haas (R)	X				100.00	75	43	96	80	64	54	72	63	70	59	59	65	25	50	50	64	50	62	0	29	1	1,562,000$
3	Stefan Matteau		X			100.00	82	84	77	64	84	71	74	61	50	57	60	69	57	51	51	64	50	62	0	27	1	925,000$
4	Justin Dowling	X	X	X		100.00	73	43	90	70	66	57	70	68	52	60	59	69	25	51	52	64	50	62	0	30	1	750,000$
5	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	2	800,000$
6	Austin Poganski			X		100.00	80	75	90	65	75	73	77	60	50	59	57	66	54	44	44	64	50	61	0	25	3	750,000$
7	Logan Shaw	X		X		100.00	69	43	99	73	77	46	78	54	54	56	59	66	25	60	61	63	50	61	0	28	2	725,000$
8	J.C. Beaudin (R)	X				100.00	88	75	89	75	71	52	66	58	73	55	55	67	25	46	46	62	50	60	0	24	3	816,667$
9	Lean Bergmann (R)		X	X		100.00	89	46	89	75	76	51	64	51	26	58	55	56	25	45	45	60	50	57	0	22	2	925,000$
10	Nick Lappin		X	X		100.00	74	66	93	67	66	67	72	51	50	47	50	62	48	49	49	57	50	57	0	28	2	725,000$
11	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	23	3	921,666$
12	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	3	750,000$
13	Dennis Cholowski				X	100.00	63	41	94	77	64	77	87	80	25	52	48	63	25	55	55	61	50	65	0	23	2	894,166$
14	Kevin Connauton				X	100.00	75	76	74	80	76	63	64	61	25	57	46	69	44	64	65	60	50	65	0	31	1	1,575,000$
15	Julius Bergman				X	100.00	79	75	89	62	75	65	70	47	25	39	39	63	37	45	45	52	50	58	0	25	3	750,000$
16	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	2	725,000$
17	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	3	750,000$
Rayé
1	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	3	750,000$

	MOYENNE D'ÉQUIPE					100.00	75	63	87	69	72	62	71	57	47	53	51	63	38	50	50	57	50	60

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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	57	59	74	83	55	58	59	64	59	59	30	46	46	59	50	60	0
2	Joseph Woll (R)	100.00	50	64	80	80	45	52	50	55	49	49	30	44	44	52	50	54	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	54	62	77	82	50	55	55	60	54	54	30	45	45	56	50	57

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Lindy Ruff	70	50	51	41	81	83	63	CAN	56	1	900,000$

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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	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	FW	S1	S2	S3
1	Justin Dowling	Admirals (NSH)	C/LW/RW	16	7	9	16	7	24	0	18	23	34	12	19	20.59%	3	251	15.69	5	5	10	11	73	0	4	1	0	57.89%	19	0	1.27	0	1	0	2
2	Dennis Cholowski	Admirals (NSH)	D	16	4	9	13	0	8	0	8	23	27	14	10	14.81%	8	384	24.04	3	6	9	20	79	0	79	0	0	0.00%	0	0	0.68	0	1	1	0
3	Stefan Matteau	Admirals (NSH)	LW	16	4	9	13	5	16	0	37	15	30	6	23	13.33%	2	257	16.08	1	3	4	7	67	0	31	0	0	47.83%	23	0	1.01	0	0	1	0
4	Greg Carey	Admirals (NSH)	C/LW	16	6	7	13	4	12	0	24	23	30	9	19	20.00%	5	355	22.23	4	3	7	12	73	0	86	1	0	72.73%	33	0	0.73	0	2	0	0
5	Gaetan Haas	Admirals (NSH)	C	16	6	6	12	2	12	0	9	26	38	7	19	15.79%	2	288	18.02	1	3	4	5	59	1	73	0	0	56.93%	332	0	0.83	0	0	1	2
6	Morgan Frost	Admirals (NSH)	C	16	6	5	11	7	4	0	4	41	48	8	21	12.50%	2	305	19.08	2	2	4	12	68	2	43	1	0	56.16%	333	0	0.72	0	1	0	0
7	Logan Shaw	Admirals (NSH)	C/RW	16	3	7	10	5	2	0	8	8	32	7	14	9.38%	1	215	13.46	1	3	4	6	68	0	0	1	0	60.00%	15	0	0.93	0	0	2	1
8	Kevin Connauton	Admirals (NSH)	D	16	0	9	9	-2	27	5	24	21	8	2	11	0.00%	20	364	22.77	0	3	3	7	75	0	70	0	0	0.00%	0	0	0.49	1	0	1	1
9	Dennis Robertson	Admirals (NSH)	D	16	2	6	8	7	30	0	32	14	8	3	7	25.00%	19	312	19.55	1	3	4	5	63	0	58	0	0	0.00%	0	0	0.51	0	0	0	1
10	Lean Bergmann	Admirals (NSH)	LW/RW	13	3	3	6	-1	8	0	11	16	16	7	9	18.75%	2	111	8.56	0	0	0	1	1	0	0	3	0	50.00%	8	0	1.08	0	2	0	1
11	Danton Heinen	Predators	LW/RW	3	3	3	6	3	0	0	0	3	13	2	7	23.08%	0	68	22.97	1	2	3	2	10	0	9	0	0	44.44%	18	0	1.74	0	0	1	1
12	Gage Quinney	Predators	C/LW	3	4	1	5	4	2	0	6	4	11	5	3	36.36%	0	58	19.34	1	1	2	2	11	0	10	2	1	72.13%	61	1	1.72	0	2	0	0
13	Brandon Gignac	Admirals (NSH)	C/LW	16	2	3	5	-1	2	0	5	10	14	7	10	14.29%	1	126	7.88	0	0	0	0	0	0	0	0	1	16.67%	6	0	0.79	0	0	1	0
14	Julius Bergman	Admirals (NSH)	D	16	0	4	4	-1	20	0	32	8	4	3	5	0.00%	10	336	21.00	0	2	2	3	65	0	63	0	0	0.00%	0	0	0.24	0	0	0	0
15	Adam Musil	Admirals (NSH)	C	13	1	3	4	-1	4	0	9	15	13	3	7	7.69%	4	134	10.32	0	1	1	1	12	0	13	0	0	52.63%	114	0	0.60	0	0	0	1
16	Stuart Percy	Admirals (NSH)	D	16	0	3	3	0	22	0	23	6	2	0	2	0.00%	8	239	15.00	0	0	0	0	17	0	2	0	0	0.00%	0	0	0.25	0	0	0	0
17	J.C. Beaudin	Admirals (NSH)	C	16	1	1	2	-4	18	0	15	23	28	6	12	3.57%	2	158	9.89	0	0	0	0	0	0	0	0	0	57.48%	127	0	0.25	0	0	0	0
18	Austin Poganski	Admirals (NSH)	RW	16	0	2	2	-4	8	0	14	18	18	5	11	0.00%	1	255	15.98	0	0	0	0	10	1	58	0	0	47.06%	51	0	0.16	0	0	0	0
19	Aaron Harstad	Admirals (NSH)	D	3	0	0	0	1	2	0	3	0	0	0	0	0.00%	0	43	14.56	0	0	0	0	0	0	3	0	0	0.00%	0	0	0.00	0	0	0	0
20	Nick Lappin	Admirals (NSH)	LW/RW	13	0	0	0	-4	2	0	3	8	9	5	8	0.00%	2	139	10.74	0	0	0	0	0	0	0	0	0	42.86%	14	0	0.00	0	0	0	0
Stats d'équipe Total ou en Moyenne				272	52	90	142	27	223	5	285	305	383	111	217	13.58%	92	4406	16.20	20	37	57	94	758	4	611	9	2	56.41%	1154	1	0.64	1	9	8	10

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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	SO	GA	SA	A	ST	BG
1	Pheonix Copley	Admirals (NSH)	16	9	4	2	0.880	2.49	915	1	38	316	1	16	0
2	Joseph Woll	Admirals (NSH)	1	0	0	1	0.905	2.22	54	0	2	21	0	0	16
Stats d'équipe Total ou en Moyenne			17	9	4	3	0.881	2.47	970	1	40	337	1	16	16

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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	Link
Aaron Harstad	Admirals (NSH)	D	29	1992-07-01	No	198 Lbs	6 ft2	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	Lien
Adam Musil	Admirals (NSH)	C	27	1994-03-26	No	202 Lbs	6 ft4	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	Lien
Austin Poganski	Admirals (NSH)	RW	25	1996-02-16	No	201 Lbs	6 ft2	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Brandon Gignac	Admirals (NSH)	C/LW	23	1997-11-07	Yes	173 Lbs	5 ft11	No	No	No	3	Pro & Farm	921,666$	0$	0$	No	921,666$	921,666$	Lien / Lien NHL
Dennis Cholowski	Admirals (NSH)	D	23	1998-02-15	No	170 Lbs	6 ft0	No	No	No	2	Pro & Farm	894,166$	0$	0$	No	894,166$		Lien / Lien NHL
Dennis Robertson	Admirals (NSH)	D	30	1991-05-24	No	215 Lbs	6 ft1	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	Lien
Gaetan Haas	Admirals (NSH)	C	29	1992-01-31	Yes	176 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,562,000$	0$	0$	No			Lien / Lien NHL
Greg Carey	Admirals (NSH)	C/LW	31	1990-04-05	No	195 Lbs	6 ft0	Yes	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$		Lien / Lien NHL
J.C. Beaudin	Admirals (NSH)	C	24	1997-03-24	Yes	185 Lbs	6 ft1	No	No	No	3	Pro & Farm	816,667$	0$	0$	No	816,667$	816,667$	Lien / Lien NHL
Joseph Woll	Admirals (NSH)	G	23	1998-07-12	Yes	200 Lbs	6 ft3	No	No	No	3	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	Lien / Lien NHL
Julius Bergman	Admirals (NSH)	D	25	1995-11-02	No	205 Lbs	6 ft1	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	Lien
Justin Dowling	Admirals (NSH)	C/LW/RW	30	1990-10-01	No	185 Lbs	5 ft10	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien / Lien NHL
Kevin Connauton	Admirals (NSH)	D	31	1990-02-23	No	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,575,000$	0$	0$	No			Lien / Lien NHL
Lean Bergmann	Admirals (NSH)	LW/RW	22	1998-10-04	Yes	205 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien / Lien NHL
Logan Shaw	Admirals (NSH)	C/RW	28	1992-10-05	No	208 Lbs	6 ft3	No	No	No	2	Pro & Farm	725,000$	0$	0$	No	725,000$		Lien / Lien NHL
Morgan Frost	Admirals (NSH)	C	22	1999-05-14	Yes	170 Lbs	5 ft11	No	No	No	3	Pro & Farm	863,333$	0$	0$	No	863,333$	863,333$	Lien / Lien NHL
Nick Lappin	Admirals (NSH)	LW/RW	28	1992-11-01	No	175 Lbs	6 ft1	No	No	No	2	Pro & Farm	725,000$	0$	0$	No	725,000$		Lien / Lien NHL
Pheonix Copley	Admirals (NSH)	G	29	1992-01-18	No	200 Lbs	6 ft4	No	No	No	2	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$		Lien / Lien NHL
Stefan Matteau	Admirals (NSH)	LW	27	1994-02-23	No	220 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Stuart Percy	Admirals (NSH)	D	28	1993-05-18	No	187 Lbs	6 ft1	No	No	No	2	Pro & Farm	725,000$	0$	0$	No	725,000$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	26.70	194 Lbs	6 ft1	2.25	900,392$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Greg Carey	Morgan Frost	Justin Dowling	40	0	2	3
2	Stefan Matteau	Gaetan Haas	Logan Shaw	30	0	2	3
3	Nick Lappin	J.C. Beaudin	Austin Poganski	20	0	2	3
4	Brandon Gignac	Adam Musil	Lean Bergmann	10	0	2	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Cholowski	Kevin Connauton	40	0	2	3
2	Stuart Percy	Julius Bergman	30	0	2	3
3	Dennis Robertson		20	0	2	3
4	Kevin Connauton	Dennis Cholowski	10	0	2	3

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Greg Carey	Gaetan Haas	Justin Dowling	60	0	0	5
2	Stefan Matteau	Morgan Frost	Logan Shaw	40	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Cholowski	Kevin Connauton	60	0	0	5
2	Julius Bergman	Dennis Robertson	40	0	0	5

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Gaetan Haas	Greg Carey	60	0	5	0
2	Morgan Frost	Greg Carey	40	0	5	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Cholowski	Kevin Connauton	60	0	5	0
2	Julius Bergman	Dennis Robertson	40	0	5	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Gaetan Haas	60	0	5	0	Dennis Cholowski	Kevin Connauton	60	0	5	0
2	Greg Carey	40	0	5	0	Julius Bergman	Dennis Robertson	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Morgan Frost	Greg Carey	60	1	2	2
2	Gaetan Haas	Stefan Matteau	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Cholowski	Kevin Connauton	60	1	2	2
2	Julius Bergman	Dennis Robertson	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Greg Carey	Morgan Frost	Justin Dowling	Dennis Cholowski	Kevin Connauton

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Stefan Matteau	Gaetan Haas	Justin Dowling	Dennis Cholowski	Kevin Connauton

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Stefan Matteau, Gaetan Haas, Austin Poganski	Stefan Matteau, Gaetan Haas	Austin Poganski

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Stuart Percy, , Julius Bergman	Stuart Percy	, Julius Bergman

Tirs de Pénalité
Greg Carey, Justin Dowling, Lean Bergmann, Gaetan Haas, Morgan Frost

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

Lignes d'Attaque Perso. en Prol.
Adam Musil, Lean Bergmann, Morgan Frost, Greg Carey, Justin Dowling, Stefan Matteau, Stefan Matteau, Gaetan Haas, Logan Shaw, Austin Poganski, J.C. Beaudin

Lignes de Défense Perso. en Prol.
Dennis Cholowski, Kevin Connauton, Julius Bergman, Dennis Robertson, Stuart Percy

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	Americans	7	4	3	0	0	0	0	0	19	16	3	4	3	1	0	0	0	0	0	13	10	3	3	1	2	0	0	0	0	0	6	6	0	8	0.571	19	33	52	0	0	16	23	13	0	167	122	124	136	1	140	34	99	124	51	7	13.73%	42	6	85.71%	0	287	477	60.17%	233	436	53.44%	131	241	54.36%	429	305	345	116	197	99
2	Condors	5	1	4	0	0	0	0	0	17	20	-3	3	1	2	0	0	0	0	0	8	9	-1	2	0	2	0	0	0	0	0	9	11	-2	2	0.200	17	29	46	0	0	16	23	13	0	97	122	124	136	1	127	33	84	84	31	7	22.58%	41	6	85.37%	0	287	477	60.17%	233	436	53.44%	131	241	54.36%	429	305	345	116	197	99
3	Wolves	4	4	0	0	0	0	0	0	16	4	12	2	2	0	0	0	0	0	0	8	2	6	2	2	0	0	0	0	0	0	8	2	6	8	1.000	16	28	44	0	1	16	23	13	0	119	122	124	136	1	70	26	40	78	16	6	37.50%	19	3	84.21%	0	287	477	60.17%	233	436	53.44%	131	241	54.36%	429	305	345	116	197	99
	Total	16	9	7	0	0	0	0	0	52	40	12	9	6	3	0	0	0	0	0	29	21	8	7	3	4	0	0	0	0	0	23	19	4	18	0.563	52	90	142	0	1	16	23	13	0	383	122	124	136	1	337	93	223	286	98	20	20.41%	102	15	85.29%	0	287	477	60.17%	233	436	53.44%	131	241	54.36%	429	305	345	116	197	99
	_Since Last GM Reset	16	9	7	0	0	0	0	0	52	40	12	9	6	3	0	0	0	0	0	29	21	8	7	3	4	0	0	0	0	0	23	19	4	18	0.563	52	90	142	0	1	16	23	13	0	383	122	124	136	1	337	93	223	286	98	20	20.41%	102	15	85.29%	0	287	477	60.17%	233	436	53.44%	131	241	54.36%	429	305	345	116	197	99
	_Vs Conference	16	9	7	0	0	0	0	0	52	40	12	9	6	3	0	0	0	0	0	29	21	8	7	3	4	0	0	0	0	0	23	19	4	18	0.563	52	90	142	0	1	16	23	13	0	383	122	124	136	1	337	93	223	286	98	20	20.41%	102	15	85.29%	0	287	477	60.17%	233	436	53.44%	131	241	54.36%	429	305	345	116	197	99

			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	18	L1	52	90	142	383	337	93	223	286	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	9	7	0	0	0	0	52	40

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	6	3	0	0	0	0	29	21

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	23	19

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	4	0	2	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
98	20	20.41%	102	15	85.29%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
122	124	136	1	16	23	13	0

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
287	477	60.17%	233	436	53.44%	131	241	54.36%

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
429	305	345	116	197	99

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	Lien
2 - 2020-10-25	5	Wolves	1	Admirals	2	W		Sommaire du Match
4 - 2020-10-27	13	Wolves	1	Admirals	6	W		Sommaire du Match
6 - 2020-10-29	21	Admirals	5	Wolves	0	W		Sommaire du Match
8 - 2020-10-31	29	Admirals	3	Wolves	2	W		Sommaire du Match
16 - 2020-11-08	59	Americans	2	Admirals	3	W		Sommaire du Match
18 - 2020-11-10	63	Americans	4	Admirals	3	L	X	Sommaire du Match
20 - 2020-11-12	67	Admirals	1	Americans	2	L		Sommaire du Match
22 - 2020-11-14	71	Admirals	4	Americans	2	W		Sommaire du Match
24 - 2020-11-16	75	Americans	3	Admirals	5	W		Sommaire du Match
26 - 2020-11-18	79	Admirals	1	Americans	2	L		Sommaire du Match
28 - 2020-11-20	83	Americans	1	Admirals	2	W		Sommaire du Match
30 - 2020-11-22	86	Condors	4	Admirals	5	W		Sommaire du Match
32 - 2020-11-24	88	Condors	2	Admirals	1	L	X	Sommaire du Match
34 - 2020-11-26	90	Admirals	4	Condors	5	L		Sommaire du Match
36 - 2020-11-28	92	Admirals	5	Condors	6	L	X	Sommaire du Match
38 - 2020-11-30	94	Condors	3	Admirals	2	L		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	12,071	8,968
Assistance PCT	67.06%	99.64%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
32	2338 - 77.92%	134,122$	1,207,100$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	1,800,784$	1,683,084$	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

	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
Saison Régulière
2020	82	61	12	0	1	3	2	3	459	172	287	41	32	4	0	1	0	2	2	242	79	163	41	29	8	0	0	3	0	1	217	93	124	134	459	803	1262	1	12	183	145	128	5	3120	1037	1056	1008	32	1520	416	809	1458	326	56	17.18%	314	46	85.35%	7	1663	2512	66.20%	1087	1790	60.73%	829	1282	64.66%	2525	1983	1550	470	879	480
Total Saison Régulière	82	61	12	0	1	3	2	3	459	172	287	41	32	4	0	1	0	2	2	242	79	163	41	29	8	0	0	3	0	1	217	93	124	134	459	803	1262	1	12	183	145	128	5	3120	1037	1056	1008	32	1520	416	809	1458	326	56	17.18%	314	46	85.35%	7	1663	2512	66.20%	1087	1790	60.73%	829	1282	64.66%	2525	1983	1550	470	879	480
2020	16	9	7	0	0	0	0	0	52	40	12	9	6	3	0	0	0	0	0	29	21	8	7	3	4	0	0	0	0	0	23	19	4	18	52	90	142	0	1	16	23	13	0	383	122	124	136	1	337	93	223	286	98	20	20.41%	102	15	85.29%	0	287	477	60.17%	233	436	53.44%	131	241	54.36%	429	305	345	116	197	99
Total Séries	16	9	7	0	0	0	0	0	52	40	12	9	6	3	0	0	0	0	0	29	21	8	7	3	4	0	0	0	0	0	23	19	4	18	52	90	142	0	1	16	23	13	0	383	122	124	136	1	337	93	223	286	98	20	20.41%	102	15	85.29%	0	287	477	60.17%	233	436	53.44%	131	241	54.36%	429	305	345	116	197	99

	Admirals
	GP: 16 \| W: 9 \| L: 7 GF: 52 \| GA: 40 \| PP%: 20.41% \| PK%: 85.29% DG: Tyler W \| Morale : 50 \| Moyenne d'Équipe : 60