OTHL - Wolves

Golden Knights
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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	Dominic Turgeon	X	X			100.00	80	73	97	63	73	80	87	56	70	50	56	67	53	53	53	62	50	61	0	25	1	919,167$
2	Nicholas Baptiste			X		100.00	80	75	90	64	75	67	71	51	50	49	48	64	46	45	45	57	50	57	0	25	1	800,000$
3	Liam Foudy (R)	X	X	X		100.00	51	51	55	55	55	55	55	55	55	55	55	55	55	55	55	55	50	54	0	21	3	1,269,167$
4	Juuso Valimaki (R)				X	100.00	73	43	85	78	75	68	62	55	25	48	48	73	25	46	46	60	50	63	0	22	2	1,319,166$
5	Sami Niku				X	100.00	73	43	80	75	66	69	61	61	25	63	47	66	25	48	48	61	50	62	0	24	2	916,666$
6	Kale Clague (R)				X	100.00	71	65	84	71	65	67	70	57	25	48	51	61	48	44	44	59	50	60	0	23	3	761,666$
7	Daniel Brickley				X	100.00	80	77	86	56	77	50	52	46	25	37	39	63	37	44	44	50	50	55	0	26	1	925,000$
Rayé
1	John Gilmour				X	100.00	78	71	94	74	71	70	75	53	25	39	51	64	48	47	47	59	50	61	0	28	2	800,000$

	MOYENNE D'ÉQUIPE					100.00	73	62	84	67	70	66	67	54	38	49	49	64	42	48	48	58	50	59

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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	Adam Werner (R)	100.00	57	59	74	73	59	61	51	60	58	57	30	44	44	57	50	58	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	57	59	74	73	59	61	51	60	58	57	30	44	44	57	50	58

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jeremy Colilton	57	57	88	91	65	52	68	CAN	35	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKM	FO%	FOT	P/20	S2
1	Daniel Brickley	Wolves (VGK)	D	4	0	3	3	0	4	7	1	7	6	7	0.00%	5	64	16.10	0	3	3	5	14	9	0.00%	0	0.93	0
2	Kale Clague	Wolves (VGK)	D	4	3	0	3	0	4	5	4	15	4	5	20.00%	3	67	16.92	3	0	3	12	15	10	0.00%	1	0.89	1
3	Liam Foudy	Wolves (VGK)	C/LW/RW	4	0	0	0	-2	2	5	1	3	1	5	0.00%	0	66	16.62	0	0	0	2	10	10	46.67%	15	0.00	0
4	Juuso Valimaki	Wolves (VGK)	D	4	0	0	0	-3	0	9	7	7	0	2	0.00%	6	81	20.27	0	0	0	6	14	12	0.00%	1	0.00	0
5	Nicholas Baptiste	Wolves (VGK)	RW	4	0	0	0	-2	6	5	4	4	0	5	0.00%	0	67	16.96	0	0	0	1	10	12	50.00%	4	0.00	0
6	Dominic Turgeon	Wolves (VGK)	C/LW	4	0	0	0	-2	8	1	16	4	1	1	0.00%	1	64	16.22	0	0	0	0	10	11	50.54%	93	0.00	0
7	Sami Niku	Wolves (VGK)	D	4	0	0	0	-3	4	9	8	4	1	5	0.00%	2	78	19.68	0	0	0	2	14	9	0.00%	0	0.00	0
Stats d'équipe Total ou en Moyenne				28	3	3	6	-12	28	41	41	44	13	30	6.82%	17	491	17.54	3	3	6	28	90	76	49.12%	114	0.24	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

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#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Adam Werner	Wolves (VGK)	4	0	4	0	0.866	4.02	239	0	0	16	119	0	1	0	0.000	0	4	0	0	0	0
Stats d'équipe Total ou en Moyenne			4	0	4	0	0.866	4.02	239	0	0	16	119	0	1	0	0.000	0	4	0	0	0	0

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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
Adam Werner	Wolves (VGK)	G	26	1995-01-01	Yes	200 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Lien / Lien NHL
Daniel Brickley	Wolves (VGK)	D	26	1995-03-30	No	205 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Dominic Turgeon	Wolves (VGK)	C/LW	25	1996-02-24	No	196 Lbs	6 ft2	No	No	No	1	Pro & Farm	919,167$	0$	0$	No			Lien / Lien NHL
John Gilmour	Wolves (VGK)	D	28	1993-05-17	No	195 Lbs	6 ft0	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$		Lien / Lien NHL
Juuso Valimaki	Wolves (VGK)	D	22	1998-10-06	Yes	204 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,319,166$	0$	0$	No	1,319,166$		Lien
Kale Clague	Wolves (VGK)	D	23	1998-06-05	Yes	177 Lbs	6 ft0	No	No	No	3	Pro & Farm	761,666$	0$	0$	No	761,666$	761,666$	Lien / Lien NHL
Liam Foudy	Wolves (VGK)	C/LW/RW	21	2000-02-04 5:33:01 AM	Yes	182 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,269,167$	0$	0$	No	1,269,167$	1,269,167$
Nicholas Baptiste	Wolves (VGK)	RW	25	1995-08-04	No	206 Lbs	6 ft1	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Lien
Sami Niku	Wolves (VGK)	D	24	1996-10-10	No	176 Lbs	6 ft1	No	No	No	2	Pro & Farm	916,666$	0$	0$	No	916,666$		Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
9	24.44	193 Lbs	6 ft1	2.00	959,537$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Liam Foudy	Dominic Turgeon	Nicholas Baptiste	40	1	2	2
2				30	1	2	2
3				20	1	2	2
4	Nicholas Baptiste	Dominic Turgeon	Liam Foudy	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Juuso Valimaki	Sami Niku	40	1	2	2
2	Kale Clague	Daniel Brickley	30	1	2	2
3			20	1	2	2
4	Juuso Valimaki	Sami Niku	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Liam Foudy	Dominic Turgeon	Nicholas Baptiste	60	1	2	2
2				40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Juuso Valimaki	Sami Niku	60	1	2	2
2	Kale Clague	Daniel Brickley	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Dominic Turgeon	Nicholas Baptiste	60	1	2	2
2	Liam Foudy		40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Juuso Valimaki	Sami Niku	60	1	2	2
2	Kale Clague	Daniel Brickley	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Dominic Turgeon	60	1	2	2	Juuso Valimaki	Sami Niku	60	1	2	2
2	Nicholas Baptiste	40	1	2	2	Kale Clague	Daniel Brickley	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Dominic Turgeon	Nicholas Baptiste	60	1	2	2
2	Liam Foudy		40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Juuso Valimaki	Sami Niku	60	1	2	2
2	Kale Clague	Daniel Brickley	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Liam Foudy	Dominic Turgeon	Nicholas Baptiste	Juuso Valimaki	Sami Niku

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Liam Foudy	Dominic Turgeon	Nicholas Baptiste	Juuso Valimaki	Sami Niku

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Liam Foudy, Dominic Turgeon, Nicholas Baptiste	Liam Foudy, Dominic Turgeon	Nicholas Baptiste

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Kale Clague, Daniel Brickley, Juuso Valimaki	Kale Clague	Daniel Brickley, Juuso Valimaki

Tirs de Pénalité
Dominic Turgeon, Nicholas Baptiste, Liam Foudy, ,

Gardien
#1 : Adam Werner, #2 :

Lignes d'Attaque Perso. en Prol.
Dominic Turgeon, Nicholas Baptiste, Liam Foudy, , , , , , , ,

Lignes de Défense Perso. en Prol.
Juuso Valimaki, Sami Niku, Kale Clague, Daniel Brickley,

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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	Admirals	4	0	4	0	0	0	0	0	4	16	-12	2	0	2	0	0	0	0	0	2	8	-6	2	0	2	0	0	0	0	0	2	8	-6	0	0.000	4	5	9	0	0	1	2	1	0	70	25	23	22	0	119	36	34	56	19	3	15.79%	16	6	62.50%	0	29	85	34.12%	35	125	28.00%	13	49	26.53%	67	43	127	30	45	20
	Total	4	0	4	0	0	0	0	0	4	16	-12	2	0	2	0	0	0	0	0	2	8	-6	2	0	2	0	0	0	0	0	2	8	-6	0	0.000	4	5	9	0	0	1	2	1	0	70	25	23	22	0	119	36	34	56	19	3	15.79%	16	6	62.50%	0	29	85	34.12%	35	125	28.00%	13	49	26.53%	67	43	127	30	45	20
	_Since Last GM Reset	4	0	4	0	0	0	0	0	4	16	-12	2	0	2	0	0	0	0	0	2	8	-6	2	0	2	0	0	0	0	0	2	8	-6	0	0.000	4	5	9	0	0	1	2	1	0	70	25	23	22	0	119	36	34	56	19	3	15.79%	16	6	62.50%	0	29	85	34.12%	35	125	28.00%	13	49	26.53%	67	43	127	30	45	20
	_Vs Conference	4	0	4	0	0	0	0	0	4	16	-12	2	0	2	0	0	0	0	0	2	8	-6	2	0	2	0	0	0	0	0	2	8	-6	0	0.000	4	5	9	0	0	1	2	1	0	70	25	23	22	0	119	36	34	56	19	3	15.79%	16	6	62.50%	0	29	85	34.12%	35	125	28.00%	13	49	26.53%	67	43	127	30	45	20
	_Vs Division	4	0	4	0	0	0	0	0	4	16	-12	2	0	2	0	0	0	0	0	2	8	-6	2	0	2	0	0	0	0	0	2	8	-6	0	0.000	4	5	9	0	0	1	2	1	0	70	25	23	22	0	119	36	34	56	19	3	15.79%	16	6	62.50%	0	29	85	34.12%	35	125	28.00%	13	49	26.53%	67	43	127	30	45	20

			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
4	0	L4	4	5	9	70	119	36	34	56	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	4	16

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	2	8

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	2	8

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	4	0	0	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
19	3	15.79%	16	6	62.50%	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
25	23	22	0	1	2	1	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
29	85	34.12%	35	125	28.00%	13	49	26.53%

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
67	43	127	30	45	20

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	Lien
2 - 2020-10-25	5	Wolves	1	Admirals	2	L	Sommaire du Match
4 - 2020-10-27	13	Wolves	1	Admirals	6	L	Sommaire du Match
6 - 2020-10-29	21	Admirals	5	Wolves	0	L	Sommaire du Match
8 - 2020-10-31	29	Admirals	3	Wolves	2	L	Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	40	0
Assistance	4,000	2,000
Assistance PCT	100.00%	100.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
39	3000 - 100.00%	80,000$	160,000$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	863,585$	863,585$	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	52	22	0	0	2	3	3	303	155	148	41	28	7	0	0	2	2	2	160	62	98	41	24	15	0	0	0	1	1	143	93	50	115	303	534	837	0	17	121	86	93	6	1990	667	622	693	32	1576	455	822	1611	333	72	21.62%	346	32	90.75%	8	1321	2203	59.96%	1076	1961	54.87%	730	1196	61.04%	2319	1716	1682	508	951	519
Total Saison Régulière	82	52	22	0	0	2	3	3	303	155	148	41	28	7	0	0	2	2	2	160	62	98	41	24	15	0	0	0	1	1	143	93	50	115	303	534	837	0	17	121	86	93	6	1990	667	622	693	32	1576	455	822	1611	333	72	21.62%	346	32	90.75%	8	1321	2203	59.96%	1076	1961	54.87%	730	1196	61.04%	2319	1716	1682	508	951	519
2020	4	0	4	0	0	0	0	0	4	16	-12	2	0	2	0	0	0	0	0	2	8	-6	2	0	2	0	0	0	0	0	2	8	-6	0	4	5	9	0	0	1	2	1	0	70	25	23	22	0	119	36	34	56	19	3	15.79%	16	6	62.50%	0	29	85	34.12%	35	125	28.00%	13	49	26.53%	67	43	127	30	45	20
Total Séries	4	0	4	0	0	0	0	0	4	16	-12	2	0	2	0	0	0	0	0	2	8	-6	2	0	2	0	0	0	0	0	2	8	-6	0	4	5	9	0	0	1	2	1	0	70	25	23	22	0	119	36	34	56	19	3	15.79%	16	6	62.50%	0	29	85	34.12%	35	125	28.00%	13	49	26.53%	67	43	127	30	45	20

	Wolves
	GP: 4 \| W: 0 \| L: 4 GF: 4 \| GA: 16 \| PP%: 15.79% \| PK%: 62.50% DG: James \| Morale : 50 \| Moyenne d'Équipe : 59