OTHL - Wild

Wild
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance

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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	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Jayce Hawryluk (R)	X		X	100.00	89	45	88	67	67	54	88	60	57	61	70	57	25	55	55	68	50	62	0
2	Calvin Thurkauf (R)	X	X		100.00	74	74	75	65	74	61	66	46	58	38	46	62	44	54	54	52	50	54	0
Rayé

	MOYENNE D'ÉQUIPE				100.00	82	60	82	66	71	58	77	53	58	50	58	60	35	55	55	60	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

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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$

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	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2
1	Tage Thompson	Wild	LW/RW	49	18	31	49	46	24	0	81	78	175	46	123	10.29%	8	989	20.20	2	3	5	22	120	0	0	5	162	3	2	65.48%	197	0	0.99	1	1	0	0	0	5	2
2	Matt Irwin	Wild	D	49	5	23	28	65	71	15	107	17	35	14	29	14.29%	22	1002	20.47	3	0	3	12	104	1	1	1	139	1	0	0.00%	0	0	0.56	0	0	0	1	2	1	0
3	Patrick Eaves	Wild	LW/RW	22	4	22	26	24	10	0	23	23	58	13	53	6.90%	6	362	16.47	0	3	3	6	39	0	0	1	1	0	0	73.91%	23	0	1.44	0	0	0	0	0	0	0
4	Karl Alzner	Wild	D	8	4	3	7	4	11	5	9	4	16	5	7	25.00%	8	176	22.06	3	1	4	9	21	0	0	0	33	0	0	0.00%	0	1	0.79	0	0	1	0	0	1	0
5	Calvin Thurkauf	Wild (MIN)	C/LW	3	0	3	3	2	2	0	0	3	4	0	0	0.00%	0	43	14.59	0	0	0	1	7	0	0	0	6	0	0	75.00%	4	0	1.37	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				131	31	82	113	141	118	20	220	125	288	78	212	10.76%	44	2575	19.66	8	7	15	50	292	1	1	7	343	4	2	66.52%	224	1	0.88	1	1	1	1	2	7	2

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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
1	Mike Condon	Wild	13	8	5	0	0.864	3.51	736	0	0	43	316	0	2	0	0.000	0	13	0	0	1	0
Stats d'équipe Total ou en Moyenne			13	8	5	0	0.864	3.51	736	0	0	43	316	0	2	0	0.000	0	13	0	0	1	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	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Salaire Année 8	Salaire Année 9	Salaire Année 10	Link
Calvin Thurkauf	Wild (MIN)	C/LW	22	1997-06-27	Yes	204 Lbs	6 ft1	No	No	No	3	Pro & Farm	738,000$		0$	0$	No	738,000$	738,000$								Lien
Jayce Hawryluk	Wild (MIN)	C/RW	24	1996-01-01	Yes	186 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$		0$	0$	No	925,000$	925,000$								Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
2	23.00	195 Lbs	6 ft0	3.00	831,500$

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	Americans	2	0	2	0	0	0	0	0	0	11	-11	1	0	1	0	0	0	0	0	0	6	-6	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	0	0	0	0	0	86	54	58	1	28	777	792	819	29	79	21	10	21	4	0	0.00%	5	2	60.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
2	Admirals	5	3	2	0	0	0	0	0	23	22	1	2	2	0	0	0	0	0	0	10	6	4	3	1	2	0	0	0	0	0	13	16	-3	6	0.600	23	46	69	1	0	86	54	58	1	219	777	792	819	29	228	66	16	113	11	1	9.09%	7	2	71.43%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
3	Barracudas	3	0	3	0	0	0	0	0	6	15	-9	1	0	1	0	0	0	0	0	2	3	-1	2	0	2	0	0	0	0	0	4	12	-8	0	0.000	6	11	17	0	0	86	54	58	1	64	777	792	819	29	125	33	10	52	6	2	33.33%	5	1	80.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
4	Bears	2	0	2	0	0	0	0	0	1	12	-11	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	1	2	3	0	0	86	54	58	1	34	777	792	819	29	112	32	0	34	6	0	0.00%	0	0	0.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
5	Bruins	2	0	2	0	0	0	0	0	3	9	-6	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	3	6	9	0	0	86	54	58	1	47	777	792	819	29	55	17	10	31	7	3	42.86%	5	3	40.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
6	Checkers	2	0	2	0	0	0	0	0	2	15	-13	1	0	1	0	0	0	0	0	1	8	-7	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	2	3	5	0	0	86	54	58	1	16	777	792	819	29	78	11	2	10	8	0	0.00%	1	0	100.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
7	Comets	3	0	3	0	0	0	0	0	0	27	-27	2	0	2	0	0	0	0	0	0	17	-17	1	0	1	0	0	0	0	0	0	10	-10	0	0.000	0	0	0	0	0	86	54	58	1	26	777	792	819	29	130	42	12	25	12	0	0.00%	5	4	20.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
8	Condors	3	0	3	0	0	0	0	0	2	28	-26	2	0	2	0	0	0	0	0	1	14	-13	1	0	1	0	0	0	0	0	1	14	-13	0	0.000	2	4	6	0	0	86	54	58	1	22	777	792	819	29	155	33	17	25	10	1	10.00%	6	1	83.33%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
9	Crunch	2	0	2	0	0	0	0	0	4	14	-10	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	4	7	11	0	0	86	54	58	1	57	777	792	819	29	120	25	6	34	6	0	0.00%	3	0	100.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
10	Devils	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	4	1.000	10	20	30	0	0	86	54	58	1	91	777	792	819	29	75	23	16	49	1	0	0.00%	7	1	85.71%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
11	Eagles	5	3	2	0	0	0	0	0	23	21	2	3	2	1	0	0	0	0	0	13	11	2	2	1	1	0	0	0	0	0	10	10	0	6	0.600	23	45	68	1	0	86	54	58	1	241	777	792	819	29	252	60	10	113	5	1	20.00%	3	0	100.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
12	Griffins	2	0	2	0	0	0	0	0	2	12	-10	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	2	3	5	0	0	86	54	58	1	76	777	792	819	29	103	21	4	52	4	0	0.00%	1	0	100.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
13	Gulls	3	0	3	0	0	0	0	0	4	25	-21	1	0	1	0	0	0	0	0	1	7	-6	2	0	2	0	0	0	0	0	3	18	-15	0	0.000	4	7	11	0	0	86	54	58	1	69	777	792	819	29	181	70	14	49	2	0	0.00%	6	0	100.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
14	Heat	3	0	3	0	0	0	0	0	4	26	-22	2	0	2	0	0	0	0	0	2	16	-14	1	0	1	0	0	0	0	0	2	10	-8	0	0.000	4	8	12	0	0	86	54	58	1	37	777	792	819	29	177	38	18	33	11	1	9.09%	4	1	75.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
15	IceHogs	4	0	4	0	0	0	0	0	3	32	-29	2	0	2	0	0	0	0	0	3	14	-11	2	0	2	0	0	0	0	0	0	18	-18	0	0.000	3	6	9	0	0	86	54	58	1	66	777	792	819	29	209	56	16	51	13	0	0.00%	8	2	75.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
16	Marlies	2	0	2	0	0	0	0	0	5	15	-10	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	2	9	-7	0	0.000	5	10	15	0	0	86	54	58	1	51	777	792	819	29	83	29	4	28	7	1	14.29%	2	0	100.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
17	Monsters	2	0	2	0	0	0	0	0	2	23	-21	1	0	1	0	0	0	0	0	1	11	-10	1	0	1	0	0	0	0	0	1	12	-11	0	0.000	2	4	6	0	0	86	54	58	1	21	777	792	819	29	133	42	12	18	4	0	0.00%	7	1	85.71%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
18	Moose	4	0	4	0	0	0	0	0	5	15	-10	2	0	2	0	0	0	0	0	3	8	-5	2	0	2	0	0	0	0	0	2	7	-5	0	0.000	5	10	15	0	0	86	54	58	1	109	777	792	819	29	135	45	19	78	8	0	0.00%	7	2	71.43%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
19	Penguins	2	0	2	0	0	0	0	0	6	10	-4	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	6	12	18	0	0	86	54	58	1	86	777	792	819	29	72	30	6	45	4	0	0.00%	3	0	100.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
20	Phantoms	2	0	2	0	0	0	0	0	4	19	-15	1	0	1	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	0	10	-10	0	0.000	4	8	12	0	0	86	54	58	1	63	777	792	819	29	111	32	10	36	0	0	0.00%	5	3	40.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
21	Rampage	4	2	2	0	0	0	0	0	18	20	-2	2	2	0	0	0	0	0	0	11	8	3	2	0	2	0	0	0	0	0	7	12	-5	4	0.500	18	35	53	0	0	86	54	58	1	164	777	792	819	29	219	58	10	106	6	3	50.00%	4	1	75.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
22	Reign	3	0	1	0	0	0	1	1	13	15	-2	1	0	0	0	0	0	1	0	5	4	1	2	0	1	0	0	0	0	1	8	11	-3	3	0.500	13	24	37	1	0	86	54	58	1	138	777	792	819	29	148	51	25	92	3	0	0.00%	5	2	60.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
23	Roadrunners	3	0	3	0	0	0	0	0	10	15	-5	1	0	1	0	0	0	0	0	3	5	-2	2	0	2	0	0	0	0	0	7	10	-3	0	0.000	10	20	30	0	0	86	54	58	1	137	777	792	819	29	142	45	8	67	4	0	0.00%	4	1	75.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
24	Rocket	2	0	2	0	0	0	0	0	0	18	-18	1	0	1	0	0	0	0	0	0	8	-8	1	0	1	0	0	0	0	0	0	10	-10	0	0.000	0	0	0	0	0	86	54	58	1	17	777	792	819	29	96	24	11	15	3	0	0.00%	3	0	100.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
25	Senators	2	1	0	0	0	0	0	1	11	10	1	1	1	0	0	0	0	0	0	7	5	2	1	0	0	0	0	0	0	1	4	5	-1	3	0.750	11	22	33	0	0	86	54	58	1	92	777	792	819	29	82	32	8	40	1	0	0.00%	4	0	100.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
26	Sound Tigers	2	0	2	0	0	0	0	0	8	10	-2	1	0	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	8	15	23	0	0	86	54	58	1	104	777	792	819	29	112	31	4	54	1	0	0.00%	1	0	100.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
27	Stars	4	0	4	0	0	0	0	0	11	24	-13	2	0	2	0	0	0	0	0	6	14	-8	2	0	2	0	0	0	0	0	5	10	-5	0	0.000	11	22	33	0	0	86	54	58	1	131	777	792	819	29	215	64	14	81	3	0	0.00%	8	2	75.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
28	Thunderbirds	2	0	2	0	0	0	0	0	3	16	-13	1	0	1	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	0	8	-8	0	0.000	3	5	8	0	0	86	54	58	1	39	777	792	819	29	98	24	4	17	8	1	12.50%	1	0	100.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
	Total	82	13	66	0	0	0	1	2	199	510	-311	41	9	31	0	0	0	1	0	107	240	-133	41	4	35	0	0	0	0	2	92	270	-178	30	0.183	199	387	586	3	0	86	54	58	1	2406	777	792	819	29	3964	1129	318	1479	166	14	8.43%	131	31	76.34%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
30	Wolf Pack	2	2	0	0	0	0	0	0	12	6	6	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	6	4	2	4	1.000	12	24	36	0	0	86	54	58	1	106	777	792	819	29	92	30	8	57	4	0	0.00%	4	0	100.00%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
31	Wolves	3	0	3	0	0	0	0	0	4	19	-15	2	0	2	0	0	0	0	0	3	12	-9	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	4	8	12	0	0	86	54	58	1	55	777	792	819	29	147	44	14	53	4	0	0.00%	7	2	71.43%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
	_Since Last GM Reset	82	13	66	0	0	0	1	2	199	510	-311	41	9	31	0	0	0	1	0	107	240	-133	41	4	35	0	0	0	0	2	92	270	-178	30	0.183	199	387	586	3	0	86	54	58	1	2406	777	792	819	29	3964	1129	318	1479	166	14	8.43%	131	31	76.34%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
	_Vs Conference	49	8	39	0	0	0	1	1	126	288	-162	24	6	17	0	0	0	1	0	63	128	-65	25	2	22	0	0	0	0	1	63	160	-97	19	0.194	126	246	372	3	0	86	54	58	1	1480	777	792	819	29	2412	684	201	934	90	9	10.00%	79	19	75.95%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
	_Vs Division	26	5	21	0	0	0	0	0	83	134	-51	13	4	9	0	0	0	0	0	46	61	-15	13	1	12	0	0	0	0	0	37	73	-36	10	0.192	83	164	247	2	0	86	54	58	1	930	777	792	819	29	1258	349	85	542	46	5	10.87%	37	9	75.68%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373

			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
82	30	W1	199	387	586	2406	3964	1129	318	1479	3	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	13	66	0	0	1	2	199	510

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	9	31	0	0	1	0	107	240

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	4	35	0	0	0	2	92	270

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	8	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
166	14	8.43%	131	31	76.34%	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
777	792	819	29	86	54	58	1

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
729	1844	39.53%	884	2364	37.39%	542	1432	37.85%

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
1341	927	2690	564	902	373

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	8	Wild	0	L			Sommaire du Match
21 - 2019-10-24	139	Condors	3	Wild	1	L			Sommaire du Match
23 - 2019-10-26	151	Wild	3	Admirals	5	L			Sommaire du Match
25 - 2019-10-28	165	Reign	4	Wild	5	W	X	X	Sommaire du Match
28 - 2019-10-31	182	Wild	2	Stars	6	L			Sommaire du Match
29 - 2019-11-01	193	Wild	4	Rampage	8	L			Sommaire du Match
32 - 2019-11-04	212	Rampage	4	Wild	5	W			Sommaire du Match
35 - 2019-11-07	224	Wild	1	Gulls	10	L			Sommaire du Match
37 - 2019-11-09	246	Wild	3	Barracudas	4	L			Sommaire du Match
39 - 2019-11-11	252	Wild	4	Roadrunners	5	L			Sommaire du Match
42 - 2019-11-14	274	Wild	4	Reign	5	L	X	X	Sommaire du Match
44 - 2019-11-16	291	Roadrunners	5	Wild	3	L			Sommaire du Match
46 - 2019-11-18	305	Checkers	8	Wild	1	L			Sommaire du Match
49 - 2019-11-21	318	Wild	0	Americans	5	L			Sommaire du Match
51 - 2019-11-23	341	Eagles	2	Wild	5	W			Sommaire du Match
53 - 2019-11-25	348	Wild	2	Bruins	3	L			Sommaire du Match
55 - 2019-11-27	370	Wild	6	Wolf Pack	4	W			Sommaire du Match
56 - 2019-11-28	376	Wild	5	Devils	3	W			Sommaire du Match
59 - 2019-12-01	398	Senators	5	Wild	7	W			Sommaire du Match
61 - 2019-12-03	417	Stars	8	Wild	4	L			Sommaire du Match
63 - 2019-12-05	426	Wild	0	Thunderbirds	8	L			Sommaire du Match
65 - 2019-12-07	446	Wild	1	Crunch	7	L			Sommaire du Match
67 - 2019-12-09	453	Wild	1	Checkers	7	L			Sommaire du Match
70 - 2019-12-12	478	Gulls	7	Wild	1	L			Sommaire du Match
72 - 2019-12-14	493	Condors	11	Wild	0	L			Sommaire du Match
74 - 2019-12-16	506	Phantoms	9	Wild	4	L			Sommaire du Match
75 - 2019-12-17	515	Wild	0	IceHogs	11	L			Sommaire du Match
77 - 2019-12-19	533	Wild	1	Wolves	7	L			Sommaire du Match
79 - 2019-12-21	538	Wild	3	Roadrunners	5	L			Sommaire du Match
81 - 2019-12-23	558	Moose	5	Wild	2	L			Sommaire du Match
83 - 2019-12-25	572	Heat	6	Wild	1	L			Sommaire du Match
87 - 2019-12-29	585	Wild	6	Eagles	3	W			Sommaire du Match
89 - 2019-12-31	608	Sound Tigers	7	Wild	6	L			Sommaire du Match
91 - 2020-01-02	622	Marlies	6	Wild	3	L			Sommaire du Match
95 - 2020-01-06	646	Moose	3	Wild	1	L			Sommaire du Match
96 - 2020-01-07	656	Heat	10	Wild	1	L			Sommaire du Match
100 - 2020-01-11	680	Wild	2	Heat	10	L			Sommaire du Match
103 - 2020-01-14	706	Comets	8	Wild	0	L			Sommaire du Match
105 - 2020-01-16	721	Wild	4	Penguins	6	L			Sommaire du Match
107 - 2020-01-18	732	Crunch	7	Wild	3	L			Sommaire du Match
109 - 2020-01-20	747	Stars	6	Wild	2	L			Sommaire du Match
111 - 2020-01-22	760	Thunderbirds	8	Wild	3	L			Sommaire du Match
113 - 2020-01-24	767	Griffins	6	Wild	1	L			Sommaire du Match
123 - 2020-02-03	797	Bruins	6	Wild	1	L			Sommaire du Match
126 - 2020-02-06	817	IceHogs	7	Wild	1	L			Sommaire du Match
128 - 2020-02-08	832	Comets	9	Wild	0	L			Sommaire du Match
129 - 2020-02-09	840	Wild	3	Stars	4	L			Sommaire du Match
131 - 2020-02-11	857	Eagles	4	Wild	5	W			Sommaire du Match
133 - 2020-02-13	871	Wolves	7	Wild	2	L			Sommaire du Match
135 - 2020-02-15	884	Wolf Pack	2	Wild	6	W			Sommaire du Match
137 - 2020-02-17	900	Barracudas	3	Wild	2	L			Sommaire du Match
141 - 2020-02-21	932	Wild	0	Comets	10	L			Sommaire du Match
143 - 2020-02-23	946	Wild	1	Condors	14	L			Sommaire du Match
145 - 2020-02-25	964	Rampage	4	Wild	6	W			Sommaire du Match
147 - 2020-02-27	973	Monsters	11	Wild	1	L			Sommaire du Match
149 - 2020-02-29	985	Wild	1	Griffins	6	L			Sommaire du Match
150 - 2020-03-01	996	Wild	1	Monsters	12	L			Sommaire du Match
152 - 2020-03-03	1014	Bears	5	Wild	1	L			Sommaire du Match
154 - 2020-03-05	1021	Admirals	3	Wild	5	W			Sommaire du Match
156 - 2020-03-07	1041	Wild	1	Barracudas	8	L			Sommaire du Match
158 - 2020-03-09	1053	Wild	4	Reign	6	L			Sommaire du Match
159 - 2020-03-10	1059	Wild	2	Gulls	8	L			Sommaire du Match
163 - 2020-03-14	1087	Wolves	5	Wild	1	L			Sommaire du Match
165 - 2020-03-16	1106	Wild	0	Phantoms	10	L			Sommaire du Match
166 - 2020-03-17	1112	Admirals	3	Wild	5	W			Sommaire du Match
168 - 2020-03-19	1126	IceHogs	7	Wild	2	L			Sommaire du Match
170 - 2020-03-21	1139	Wild	0	IceHogs	7	L			Sommaire du Match
171 - 2020-03-22	1151	Wild	0	Moose	2	L			Sommaire du Match
174 - 2020-03-25	1172	Eagles	5	Wild	3	L			Sommaire du Match
177 - 2020-03-28	1194	Devils	3	Wild	5	W			Sommaire du Match
179 - 2020-03-30	1210	Americans	6	Wild	0	L			Sommaire du Match
180 - 2020-03-31	1222	Wild	3	Rampage	4	L			Sommaire du Match
182 - 2020-04-02	1234	Wild	2	Sound Tigers	3	L			Sommaire du Match
184 - 2020-04-04	1254	Wild	0	Bears	7	L			Sommaire du Match
186 - 2020-04-06	1265	Wild	5	Admirals	4	W			Sommaire du Match

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	76,435	36,694
Assistance PCT	93.21%	89.50%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	2759 - 91.97%	65,249$	2,675,225$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,016,207$	166,300$	166,300$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
894$	216,196$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	5,195$	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
2019	82	13	66	0	0	0	1	2	199	510	-311	41	9	31	0	0	0	1	0	107	240	-133	41	4	35	0	0	0	0	2	92	270	-178	30	199	387	586	3	0	86	54	58	1	2406	777	792	819	29	3964	1129	318	1479	166	14	8.43%	131	31	76.34%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373
Total Saison Régulière	82	13	66	0	0	0	1	2	199	510	-311	41	9	31	0	0	0	1	0	107	240	-133	41	4	35	0	0	0	0	2	92	270	-178	30	199	387	586	3	0	86	54	58	1	2406	777	792	819	29	3964	1129	318	1479	166	14	8.43%	131	31	76.34%	0	729	1844	39.53%	884	2364	37.39%	542	1432	37.85%	1341	927	2690	564	902	373