OTHL - Eagles

Avalanche
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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	Evgeny Svechnikov (R)		X	X		100.00	75	44	85	68	77	61	64	71	34	69	66	61	25	46	46	67	50	63	0	25	2	874,125$
2	Tyler Benson (R)		X			100.00	72	70	77	71	70	70	71	67	50	68	63	64	60	44	44	66	50	63	0	23	3	750,000$
3	Blake Pietila	X	X	X		100.00	77	72	87	64	72	72	76	58	73	52	60	65	57	47	47	63	50	60	0	28	1	750,000$
4	Taro Hirose		X			100.00	63	59	73	63	59	71	73	65	50	69	56	60	53	47	47	62	50	60	0	25	3	750,000$
5	Mackenzie Entwistle (R)			X		100.00	74	70	84	63	70	64	65	60	50	59	57	63	54	44	44	61	50	59	0	22	3	894,167$
6	Maxim Letunov (R)	X				100.00	76	71	88	62	71	65	67	57	71	44	65	63	62	44	44	62	50	58	0	25	3	750,000$
7	Kurtis Gabriel			X		100.00	99	99	30	63	80	48	57	56	25	50	55	71	25	47	47	52	50	58	0	28	1	750,000$
8	William Borgen (R)				X	100.00	95	47	87	61	77	69	58	58	25	39	47	84	25	45	45	52	50	64	0	24	3	900,000$
9	Brett Lernout				X	100.00	82	80	85	64	80	51	52	50	25	43	39	67	37	55	55	53	50	59	0	26	2	750,000$
10	Keegan Lowe				X	100.00	74	72	79	64	72	70	77	45	25	34	41	60	39	45	45	52	50	58	0	28	1	750,000$
Rayé

	MOYENNE D'ÉQUIPE					100.00	79	68	78	64	73	64	66	59	43	53	55	66	44	46	46	59	50	60

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

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#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV
Rayé

	MOYENNE D'ÉQUIPE	0.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Darryl Sydor	50	68	59	66	45	46	56	CAN	44	1	600,000$

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	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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 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

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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	Link
Blake Pietila	Eagles (COL)	C/LW/RW	28	1993-02-20	No	200 Lbs	5 ft11	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Lien / Lien NHL
Brett Lernout	Eagles (COL)	D	26	1995-09-23	No	214 Lbs	6 ft4	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$		Lien / Lien NHL
Evgeny Svechnikov	Eagles (COL)	LW/RW	25	1996-10-31	Yes	208 Lbs	6 ft3	No	No	No	2	Pro & Farm	874,125$	874,125$	0$	0$	No	874,125$		Lien / Lien NHL
Keegan Lowe	Eagles (COL)	D	28	1993-03-29	No	191 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Lien / Lien NHL
Kurtis Gabriel	Eagles (COL)	RW	28	1993-04-20	No	200 Lbs	6 ft4	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Lien / Lien NHL
Mackenzie Entwistle	Eagles (COL)	RW	22	1999-07-13	Yes	184 Lbs	6 ft3	No	No	No	3	Pro & Farm	894,167$	894,167$	0$	0$	No	894,167$	894,167$	Lien / Lien NHL
Maxim Letunov	Eagles (COL)	C	25	1996-02-20	Yes	180 Lbs	6 ft4	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Taro Hirose	Eagles (COL)	LW	25	1996-06-30	No	162 Lbs	5 ft10	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Tyler Benson	Eagles (COL)	LW	23	1998-03-15	Yes	192 Lbs	6 ft0	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
William Borgen	Eagles (COL)	D	24	1996-12-19	Yes	205 Lbs	6 ft3	No	No	No	3	Pro & Farm	900,000$	900,000$	0$	0$	No	900,000$	900,000$	Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
10	25.40	194 Lbs	6 ft2	2.20	791,829$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

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

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			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			60	1	2	2
2		40	1	2	2			40	1	2	2

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

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,	,

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
, , , ,

Gardien
#1 : , #2 :

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	Barracudas	3	1	2	0	0	0	0	0	13	14	-1	2	1	1	0	0	0	0	0	10	9	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.333	13	26	39	0	0	13	15	8	0	79	123	127	143	0	163	52	4	56	5	2	40.00%	2	0	100.00%	0	117	320	36.56%	195	475	41.05%	116	295	39.32%	227	150	548	119	183	71
2	Condors	2	0	2	0	0	0	0	0	1	18	-17	1	0	1	0	0	0	0	0	0	11	-11	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	1	2	3	0	0	13	15	8	0	39	123	127	143	0	88	24	6	29	6	1	16.67%	3	1	66.67%	0	117	320	36.56%	195	475	41.05%	116	295	39.32%	227	150	548	119	183	71
3	Gulls	4	0	4	0	0	0	0	0	7	26	-19	2	0	2	0	0	0	0	0	5	13	-8	2	0	2	0	0	0	0	0	2	13	-11	0	0.000	7	14	21	0	0	13	15	8	0	93	123	127	143	0	232	62	15	58	8	0	0.00%	5	0	100.00%	0	117	320	36.56%	195	475	41.05%	116	295	39.32%	227	150	548	119	183	71
4	Heat	2	0	2	0	0	0	0	0	1	14	-13	1	0	1	0	0	0	0	0	0	5	-5	1	0	1	0	0	0	0	0	1	9	-8	0	0.000	1	2	3	0	0	13	15	8	0	30	123	127	143	0	77	23	8	13	7	0	0.00%	4	1	75.00%	0	117	320	36.56%	195	475	41.05%	116	295	39.32%	227	150	548	119	183	71
5	Reign	2	0	2	0	0	0	0	0	3	11	-8	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	3	6	9	0	0	13	15	8	0	33	123	127	143	0	54	14	5	25	5	0	0.00%	0	0	0.00%	0	117	320	36.56%	195	475	41.05%	116	295	39.32%	227	150	548	119	183	71
6	Roadrunners	3	0	3	0	0	0	0	0	11	17	-6	1	0	1	0	0	0	0	0	4	5	-1	2	0	2	0	0	0	0	0	7	12	-5	0	0.000	11	22	33	0	0	13	15	8	0	119	123	127	143	0	138	50	15	55	7	1	14.29%	6	2	66.67%	0	117	320	36.56%	195	475	41.05%	116	295	39.32%	227	150	548	119	183	71
	Total	16	1	15	0	0	0	0	0	36	100	-64	8	1	7	0	0	0	0	0	20	49	-29	8	0	8	0	0	0	0	0	16	51	-35	2	0.063	36	72	108	0	0	13	15	8	0	393	123	127	143	0	752	225	53	236	38	4	10.53%	20	4	80.00%	0	117	320	36.56%	195	475	41.05%	116	295	39.32%	227	150	548	119	183	71
	_Since Last GM Reset	16	1	15	0	0	0	0	0	36	100	-64	8	1	7	0	0	0	0	0	20	49	-29	8	0	8	0	0	0	0	0	16	51	-35	2	0.063	36	72	108	0	0	13	15	8	0	393	123	127	143	0	752	225	53	236	38	4	10.53%	20	4	80.00%	0	117	320	36.56%	195	475	41.05%	116	295	39.32%	227	150	548	119	183	71
	_Vs Conference	16	1	15	0	0	0	0	0	36	100	-64	8	1	7	0	0	0	0	0	20	49	-29	8	0	8	0	0	0	0	0	16	51	-35	2	0.063	36	72	108	0	0	13	15	8	0	393	123	127	143	0	752	225	53	236	38	4	10.53%	20	4	80.00%	0	117	320	36.56%	195	475	41.05%	116	295	39.32%	227	150	548	119	183	71

			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	2	L1	36	72	108	393	752	225	53	236	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	1	15	0	0	0	0	36	100

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	1	7	0	0	0	0	20	49

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	0	8	0	0	0	0	16	51

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	9	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
38	4	10.53%	20	4	80.00%	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
123	127	143	0	13	15	8	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
117	320	36.56%	195	475	41.05%	116	295	39.32%

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
227	150	548	119	183	71

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
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
1 - 2021-10-18	11	Gulls	6	Eagles	3	L	Sommaire du Match
2 - 2021-10-19	22	Eagles	5	Roadrunners	6	L	Sommaire du Match
4 - 2021-10-21	39	Barracudas	5	Eagles	4	L	Sommaire du Match
5 - 2021-10-22	51	Eagles	0	Gulls	6	L	Sommaire du Match
7 - 2021-10-24	75	Gulls	7	Eagles	2	L	Sommaire du Match
8 - 2021-10-25	92	Eagles	2	Gulls	7	L	Sommaire du Match
9 - 2021-10-26	106	Roadrunners	5	Eagles	4	L	Sommaire du Match
10 - 2021-10-27	129	Condors	11	Eagles	0	L	Sommaire du Match
11 - 2021-10-28	131	Eagles	1	Heat	9	L	Sommaire du Match
13 - 2021-10-30	161	Eagles	2	Roadrunners	6	L	Sommaire du Match
14 - 2021-10-31	167	Eagles	3	Barracudas	5	L	Sommaire du Match
15 - 2021-11-01	184	Reign	6	Eagles	1	L	Sommaire du Match
17 - 2021-11-03	202	Eagles	2	Reign	5	L	Sommaire du Match
18 - 2021-11-04	212	Eagles	1	Condors	7	L	Sommaire du Match
19 - 2021-11-05	220	Barracudas	4	Eagles	6	W	Sommaire du Match
21 - 2021-11-07	242	Heat	5	Eagles	0	L	Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	59	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$	791,829$	791,829$	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

	Eagles
	GP: 16 \| W: 1 \| L: 15 \| OTL: 0 \| P: 2 GF: 36 \| GA: 100 \| PP%: 10.53% \| PK%: 80.00% DG: Rushi \| Morale : 50 \| Moyenne d'Équipe : 60