OTHL - Wild

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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	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
Rayé
1	Christian Djoos	X	100.00	63	41	96	80	62	63	72	60	25	55	47	56	25	58	60	58	50	61	0
2	Dillon Simpson	X	100.00	78	72	93	68	72	75	83	48	25	39	40	64	38	53	53	54	50	61	0

	MOYENNE D'ÉQUIPE		100.00	71	57	95	74	67	69	78	54	25	47	44	60	32	56	57	56	50	61

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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	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
Kerry Huffman	56	77	79	41	48	41	57	CAN	51	3	800,000$

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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

#	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

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	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	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Christian Djoos	Wild (MIN)	D	25	1994-08-06	No	169 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	1,250,000$	0$	0$	No	Lien
Dillon Simpson	Wild (MIN)	D	26	1993-02-09	No	194 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
2	25.50	182 Lbs	6 ft1	1.50	1,000,000$

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.
, , , ,

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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	1	0	1	0	0	0	0	0	5	7	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	5	7	-2	0	0.000	5	10	15	0	0	4	9	6	0	34	52	81	86	4	52	21	6	16	2	0	0.00%	2	0	100.00%	0	68	170	40.00%	65	179	36.31%	62	129	48.06%	131	91	211	47	81	36
2	Eagles	1	0	1	0	0	0	0	0	4	7	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	4	8	12	0	0	4	9	6	0	50	52	81	86	4	64	19	0	25	0	0	0.00%	0	0	0.00%	0	68	170	40.00%	65	179	36.31%	62	129	48.06%	131	91	211	47	81	36
3	Marlies	1	0	1	0	0	0	0	0	2	9	-7	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	9	-7	0	0.000	2	4	6	0	0	4	9	6	0	16	52	81	86	4	50	21	0	15	2	1	50.00%	0	0	0.00%	0	68	170	40.00%	65	179	36.31%	62	129	48.06%	131	91	211	47	81	36
4	Moose	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	4	6	0	0	4	9	6	0	30	52	81	86	4	30	13	2	18	1	0	0.00%	0	0	0.00%	0	68	170	40.00%	65	179	36.31%	62	129	48.06%	131	91	211	47	81	36
5	Penguins	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	4	9	6	0	53	52	81	86	4	41	13	4	25	1	0	0.00%	2	0	100.00%	0	68	170	40.00%	65	179	36.31%	62	129	48.06%	131	91	211	47	81	36
6	Rocket	1	0	1	0	0	0	0	0	0	10	-10	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	10	-10	0	0.000	0	0	0	0	0	4	9	6	0	6	52	81	86	4	55	15	0	9	3	0	0.00%	0	0	0.00%	0	68	170	40.00%	65	179	36.31%	62	129	48.06%	131	91	211	47	81	36
7	Senators	1	0	0	0	0	0	0	1	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	4	5	-1	1	0.500	4	8	12	0	0	4	9	6	0	31	52	81	86	4	38	18	2	20	1	0	0.00%	1	0	100.00%	0	68	170	40.00%	65	179	36.31%	62	129	48.06%	131	91	211	47	81	36
	Total	7	0	6	0	0	0	0	1	19	47	-28	1	0	1	0	0	0	0	0	2	4	-2	6	0	5	0	0	0	0	1	17	43	-26	1	0.071	19	38	57	0	0	4	9	6	0	220	52	81	86	4	330	120	14	128	10	1	10.00%	5	0	100.00%	0	68	170	40.00%	65	179	36.31%	62	129	48.06%	131	91	211	47	81	36
	_Since Last GM Reset	7	0	6	0	0	0	0	1	19	47	-28	1	0	1	0	0	0	0	0	2	4	-2	6	0	5	0	0	0	0	1	17	43	-26	1	0.071	19	38	57	0	0	4	9	6	0	220	52	81	86	4	330	120	14	128	10	1	10.00%	5	0	100.00%	0	68	170	40.00%	65	179	36.31%	62	129	48.06%	131	91	211	47	81	36
	_Vs Conference	3	0	3	0	0	0	0	0	11	19	-8	0	0	0	0	0	0	0	0	0	0	0	3	0	3	0	0	0	0	0	11	19	-8	0	0.000	11	22	33	0	0	4	9	6	0	114	52	81	86	4	146	53	8	59	3	0	0.00%	2	0	100.00%	0	68	170	40.00%	65	179	36.31%	62	129	48.06%	131	91	211	47	81	36
	_Vs Division	3	0	2	0	0	0	0	0	11	19	-8	0	0	0	0	0	0	0	0	0	0	0	3	0	2	0	0	0	0	0	11	19	-8	0	0.000	11	22	33	0	0	4	9	6	0	114	52	81	86	4	146	53	8	59	3	0	0.00%	2	0	100.00%	0	68	170	40.00%	65	179	36.31%	62	129	48.06%	131	91	211	47	81	36

			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
7	1	L2	19	38	57	220	330	120	14	128	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	0	6	0	0	0	1	19	47

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	1	0	0	0	0	2	4

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	0	5	0	0	0	1	17	43

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	6	0	0	0	1

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
10	1	10.00%	5	0	100.00%	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
52	81	86	4	4	9	6	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
68	170	40.00%	65	179	36.31%	62	129	48.06%

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
131	91	211	47	81	36

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	Lien
2 - 2019-10-05	9	Wild	5	Admirals	7	L			Sommaire du Match
4 - 2019-10-07	22	Wild	4	Eagles	7	L			Sommaire du Match
9 - 2019-10-12	57	Wild	2	Moose	5	L			Sommaire du Match
11 - 2019-10-14	68	Penguins	4	Wild	2	L			Sommaire du Match
13 - 2019-10-16	83	Wild	4	Senators	5	L	X	X	Sommaire du Match
14 - 2019-10-17	88	Wild	2	Marlies	9	L			Sommaire du Match
16 - 2019-10-19	102	Wild	0	Rocket	10	L			Sommaire du Match
19 - 2019-10-22	126	Rocket	-	Wild	-
21 - 2019-10-24	139	Condors	-	Wild	-
23 - 2019-10-26	151	Wild	-	Admirals	-
25 - 2019-10-28	165	Reign	-	Wild	-
28 - 2019-10-31	182	Wild	-	Stars	-
29 - 2019-11-01	193	Wild	-	Rampage	-
32 - 2019-11-04	212	Rampage	-	Wild	-
35 - 2019-11-07	224	Wild	-	Gulls	-
37 - 2019-11-09	246	Wild	-	Barracudas	-
39 - 2019-11-11	252	Wild	-	Roadrunners	-
42 - 2019-11-14	274	Wild	-	Reign	-
44 - 2019-11-16	291	Roadrunners	-	Wild	-
46 - 2019-11-18	305	Checkers	-	Wild	-
49 - 2019-11-21	318	Wild	-	Americans	-
51 - 2019-11-23	341	Eagles	-	Wild	-
53 - 2019-11-25	348	Wild	-	Bruins	-
55 - 2019-11-27	370	Wild	-	Wolf Pack	-
56 - 2019-11-28	376	Wild	-	Devils	-
59 - 2019-12-01	398	Senators	-	Wild	-
61 - 2019-12-03	417	Stars	-	Wild	-
63 - 2019-12-05	426	Wild	-	Thunderbirds	-
65 - 2019-12-07	446	Wild	-	Crunch	-
67 - 2019-12-09	453	Wild	-	Checkers	-
70 - 2019-12-12	478	Gulls	-	Wild	-
72 - 2019-12-14	493	Condors	-	Wild	-
74 - 2019-12-16	506	Phantoms	-	Wild	-
75 - 2019-12-17	515	Wild	-	IceHogs	-
77 - 2019-12-19	533	Wild	-	Wolves	-
79 - 2019-12-21	538	Wild	-	Roadrunners	-
81 - 2019-12-23	558	Moose	-	Wild	-
83 - 2019-12-25	572	Heat	-	Wild	-
87 - 2019-12-29	585	Wild	-	Eagles	-
89 - 2019-12-31	608	Sound Tigers	-	Wild	-
91 - 2020-01-02	622	Marlies	-	Wild	-
95 - 2020-01-06	646	Moose	-	Wild	-
96 - 2020-01-07	656	Heat	-	Wild	-
100 - 2020-01-11	680	Wild	-	Heat	-
103 - 2020-01-14	706	Comets	-	Wild	-
105 - 2020-01-16	721	Wild	-	Penguins	-
107 - 2020-01-18	732	Crunch	-	Wild	-
109 - 2020-01-20	747	Stars	-	Wild	-
111 - 2020-01-22	760	Thunderbirds	-	Wild	-
113 - 2020-01-24	767	Griffins	-	Wild	-
123 - 2020-02-03	797	Bruins	-	Wild	-
126 - 2020-02-06	817	IceHogs	-	Wild	-
128 - 2020-02-08	832	Comets	-	Wild	-
129 - 2020-02-09	840	Wild	-	Stars	-
131 - 2020-02-11	857	Eagles	-	Wild	-
133 - 2020-02-13	871	Wolves	-	Wild	-
135 - 2020-02-15	884	Wolf Pack	-	Wild	-
137 - 2020-02-17	900	Barracudas	-	Wild	-
141 - 2020-02-21	932	Wild	-	Comets	-
143 - 2020-02-23	946	Wild	-	Condors	-
145 - 2020-02-25	964	Rampage	-	Wild	-
147 - 2020-02-27	973	Monsters	-	Wild	-
149 - 2020-02-29	985	Wild	-	Griffins	-
150 - 2020-03-01	996	Wild	-	Monsters	-
152 - 2020-03-03	1014	Bears	-	Wild	-
154 - 2020-03-05	1021	Admirals	-	Wild	-
156 - 2020-03-07	1041	Wild	-	Barracudas	-
158 - 2020-03-09	1053	Wild	-	Reign	-
159 - 2020-03-10	1059	Wild	-	Gulls	-
163 - 2020-03-14	1087	Wolves	-	Wild	-
165 - 2020-03-16	1106	Wild	-	Phantoms	-
166 - 2020-03-17	1112	Admirals	-	Wild	-
168 - 2020-03-19	1126	IceHogs	-	Wild	-
170 - 2020-03-21	1139	Wild	-	IceHogs	-
171 - 2020-03-22	1151	Wild	-	Moose	-
174 - 2020-03-25	1172	Eagles	-	Wild	-
177 - 2020-03-28	1194	Devils	-	Wild	-
179 - 2020-03-30	1210	Americans	-	Wild	-
180 - 2020-03-31	1222	Wild	-	Rampage	-
182 - 2020-04-02	1234	Wild	-	Sound Tigers	-
184 - 2020-04-04	1254	Wild	-	Bears	-
186 - 2020-04-06	1265	Wild	-	Admirals	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	0
Assistance	1,564	789
Assistance PCT	78.20%	78.90%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
40	2353 - 78.43%	54,740$	54,740$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
92,792$	200,000$	200,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
1,075$	19,675$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
2,189,600$	169	5,376$	908,544$

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
2019	7	0	6	0	0	0	0	1	19	47	-28	1	0	1	0	0	0	0	0	2	4	-2	6	0	5	0	0	0	0	1	17	43	-26	1	19	38	57	0	0	4	9	6	0	220	52	81	86	4	330	120	14	128	10	1	10.00%	5	0	100.00%	0	68	170	40.00%	65	179	36.31%	62	129	48.06%	131	91	211	47	81	36
Total Saison Régulière	7	0	6	0	0	0	0	1	19	47	-28	1	0	1	0	0	0	0	0	2	4	-2	6	0	5	0	0	0	0	1	17	43	-26	1	19	38	57	0	0	4	9	6	0	220	52	81	86	4	330	120	14	128	10	1	10.00%	5	0	100.00%	0	68	170	40.00%	65	179	36.31%	62	129	48.06%	131	91	211	47	81	36