OTHL - Wild

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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	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	Riley Barber			X		100.00	75	73	80	66	73	68	68	69	50	61	73	66	69	45	45	69	50	64	0	27	1	925,000$
2	Brett Ritchie			X		100.00	96	48	78	77	83	59	61	59	33	56	59	60	25	66	67	63	50	62	0	28	2	800,000$
3	Seth Griffith		X	X		100.00	75	67	92	61	67	72	75	64	50	61	62	66	59	49	49	65	50	62	0	28	2	800,000$
4	Tyler Graovac	X				100.00	75	44	86	72	81	54	50	57	68	58	74	61	25	54	54	66	50	61	0	28	2	800,000$
5	Calvin Thurkauf	X	X			100.00	76	74	80	65	74	61	62	60	75	57	56	67	53	55	55	61	50	60	0	24	1	750,000$
6	Jayce Hawryluk	X		X		100.00	79	44	90	67	70	54	58	58	44	60	58	62	25	59	59	60	50	59	0	25	1	925,000$
7	Hudson Fasching			X		100.00	77	74	85	65	74	55	55	56	50	62	44	66	42	53	53	57	50	58	0	26	1	950,000$
8	Julien Nantel (R)	X	X			100.00	77	70	92	64	70	61	63	55	69	47	59	64	56	45	45	60	50	58	0	25	3	750,000$
9	Shane Gersich (R)	X	X			100.00	67	66	68	62	66	65	68	57	71	52	57	59	54	44	44	58	50	57	0	25	3	750,000$
10	Thomas Di Pauli (R)	X	X			100.00	72	67	82	65	67	57	57	57	71	51	58	61	55	44	44	59	50	57	0	27	3	750,000$
11	Alexander Romanov (R)				X	100.00	91	46	88	78	74	71	79	62	25	48	47	66	25	49	49	61	50	65	0	21	3	1,177,500$
12	Kyle Wood (R)				X	100.00	87	90	81	66	90	70	76	47	25	37	41	66	39	44	44	54	50	61	0	25	3	750,000$
13	Jake Walman (R)				X	100.00	76	43	89	71	65	64	64	61	25	43	48	66	25	53	53	58	50	61	0	25	3	750,000$
14	Evan Bouchard (R)				X	100.00	71	43	95	66	73	65	58	66	25	55	56	58	25	45	45	60	50	60	0	22	3	1,596,667$
15	Casey Nelson				X	100.00	77	71	92	68	71	59	63	48	25	37	41	65	39	59	59	53	50	59	0	29	1	800,000$
16	David Warsofsky				X	100.00	66	61	79	64	61	60	61	59	25	58	42	62	40	57	58	55	50	59	0	31	1	750,000$
17	Sebastian AhoD				X	100.00	67	59	84	63	65	67	51	52	24	52	39	57	25	46	46	0	50	55	0	25	2	925,000$
Rayé
1	Nathan Paetsch				X	100.00	78	72	93	56	72	40	39	46	25	35	42	62	40	44	44	51	50	53	0	38	1	750,000$

	MOYENNE D'ÉQUIPE					100.00	77	62	85	66	72	61	62	57	43	52	53	63	40	51	51	56	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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Mike Condon	100.00	44	42	53	76	42	42	50	51	45	46	30	44	44	46	50	49	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	44	42	53	76	42	42	50	51	45	46	30	44	44	46	50	49

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Kerry Huffman	56	77	79	41	48	41	57	CAN	53	1	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

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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	PPS	PPM	PKM	GW	GT	FO%	FOT	P/20	S1	S2	S3
1	Brett Ritchie	Wild (MIN)	RW	1	0	2	2	2	0	1	2	0	1	0	0.00%	0	21	21.12	0	4	5	0	0	46.15%	13	1.89	0	0	1
2	Seth Griffith	Wild (MIN)	LW/RW	1	0	2	2	2	0	1	1	0	1	1	0.00%	0	22	22.88	0	5	5	0	0	100.00%	2	1.75	0	0	0
3	Tyler Graovac	Wild (MIN)	C	1	2	0	2	2	0	0	0	6	1	0	33.33%	0	17	17.17	2	5	3	1	0	25.00%	16	2.33	1	0	0
4	Casey Nelson	Wild (MIN)	D	1	1	0	1	1	0	4	2	1	0	0	100.00%	2	16	16.18	0	0	4	0	0	0.00%	0	1.24	0	1	0
5	Hudson Fasching	Wild (MIN)	RW	1	0	1	1	1	0	1	0	0	0	1	0.00%	0	13	13.33	0	0	0	0	0	0.00%	1	1.50	0	0	0
6	Jayce Hawryluk	Wild (MIN)	C/RW	1	0	1	1	1	2	1	2	1	0	1	0.00%	0	15	15.25	0	4	0	0	0	100.00%	1	1.31	0	0	0
7	Adam Brooks	Wild	C	1	0	1	1	1	0	0	0	1	0	2	0.00%	0	15	15.27	0	1	0	0	0	11.11%	9	1.31	0	0	0
8	Connor Bunnaman	Wild	C	1	1	0	1	1	0	1	0	2	1	0	50.00%	0	19	19.75	0	4	3	0	1	62.50%	16	1.01	0	0	0
9	Alexander Romanov	Wild (MIN)	D	1	0	0	0	2	2	2	1	2	0	1	0.00%	0	23	23.52	2	5	3	0	0	0.00%	0	0.00	0	0	0
10	Kyle Wood	Wild (MIN)	D	1	0	0	0	2	2	0	1	1	0	0	0.00%	0	20	20.78	0	6	4	0	0	0.00%	0	0.00	0	0	0
11	Calvin Thurkauf	Wild (MIN)	C/LW	1	0	0	0	1	0	1	1	2	0	1	0.00%	0	17	17.78	2	4	2	0	0	0.00%	1	0.00	0	0	0
12	Jake Walman	Wild (MIN)	D	1	0	0	0	1	2	2	0	2	0	0	0.00%	0	19	19.22	0	3	5	0	0	0.00%	0	0.00	0	0	0
13	Julien Nantel	Wild (MIN)	C/LW	1	0	0	0	1	2	0	0	0	0	0	0.00%	0	16	16.70	0	0	3	0	0	0.00%	1	0.00	0	0	0
14	Conor Timmins	Wild	D	1	0	0	0	1	0	1	1	1	0	0	0.00%	0	20	20.43	1	3	5	0	0	0.00%	0	0.00	0	0	0
15	Thomas Di Pauli	Wild (MIN)	C/LW	1	0	0	0	0	0	0	1	0	0	0	0.00%	0	4	4.60	0	0	0	0	0	50.00%	6	0.00	0	0	0
16	Evan Bouchard	Wild (MIN)	D	1	0	0	0	1	8	1	0	0	0	0	0.00%	1	13	13.02	0	0	0	0	0	0.00%	0	0.00	0	0	0
17	David Warsofsky	Wild (MIN)	D	1	0	0	0	0	0	0	1	0	0	0	0.00%	0	6	6.75	0	0	2	0	0	0.00%	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				17	4	7	11	20	18	16	13	19	4	7	21.05%	3	283	16.69	7	50	52	1	1	40.91%	66	0.78	1	1	1

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
1	Mike Condon	Wild (MIN)	1	1	0	0	0.857	2.00	60	0	0	2	14	0	0	0	0.000	0	1	0	0	0	0
Stats d'équipe Total ou en Moyenne			1	1	0	0	0.857	2.00	60	0	0	2	14	0	0	0	0.000	0	1	0	0	0	0

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	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
Alexander Romanov	Wild (MIN)	D	21	2000-01-05	Yes	208 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,177,500$	1,177,500$	0$	0$	No	1,177,500$	1,177,500$	Lien
Brett Ritchie	Wild (MIN)	RW	28	1993-06-30	No	220 Lbs	6 ft4	No	No	No	2	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$		Lien / Lien NHL
Calvin Thurkauf	Wild (MIN)	C/LW	24	1997-06-27	No	204 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Lien / Lien NHL
Casey Nelson	Wild (MIN)	D	29	1992-07-18	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	0$	No			Lien / Lien NHL
David Warsofsky	Wild (MIN)	D	31	1990-05-30	No	174 Lbs	5 ft9	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Lien / Lien NHL
Evan Bouchard	Wild (MIN)	D	22	1999-10-20	Yes	194 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,596,667$	1,596,667$	0$	0$	No	1,596,667$	1,596,667$	Lien / Lien NHL
Hudson Fasching	Wild (MIN)	RW	26	1995-07-28	No	204 Lbs	6 ft1	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	0$	No			Lien / Lien NHL
Jake Walman	Wild (MIN)	D	25	1996-02-20	Yes	170 Lbs	6 ft1	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Jayce Hawryluk	Wild (MIN)	C/RW	25	1996-01-01	No	196 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No			Lien / Lien NHL
Julien Nantel	Wild (MIN)	C/LW	25	1996-09-06	Yes	193 Lbs	6 ft0	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Kyle Wood	Wild (MIN)	D	25	1996-05-04	Yes	235 Lbs	6 ft7	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Mike Condon	Wild (MIN)	G	31	1990-04-26	No	195 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Lien / Lien NHL
Nathan Paetsch	Wild (MIN)	D	38	1983-03-29	No	198 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Lien / Lien NHL
Riley Barber	Wild (MIN)	RW	27	1994-02-07	No	203 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No			Lien / Lien NHL
Sebastian AhoD	Wild (MIN)	D	25	1996-02-16	No	184 Lbs	5 ft10	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Lien
Seth Griffith	Wild (MIN)	LW/RW	28	1993-01-04	No	190 Lbs	5 ft9	No	No	No	2	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$		Lien / Lien NHL
Shane Gersich	Wild (MIN)	C/LW	25	1996-07-10	Yes	180 Lbs	5 ft11	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Thomas Di Pauli	Wild (MIN)	C/LW	27	1994-04-29	Yes	187 Lbs	5 ft11	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Tyler Graovac	Wild (MIN)	C	28	1993-04-26	No	212 Lbs	6 ft5	No	No	No	2	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$		Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
19	26.84	197 Lbs	6 ft1	1.95	865,746$

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	Americans	2	0	2	0	0	0	0	0	0	10	-10	1	0	1	0	0	0	0	0	0	6	-6	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	0	0	0	0	0	10	13	15	0	22	120	109	121	0	76	33	11	15	5	0	0.00%	3	1	66.67%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
2	Admirals	2	0	2	0	0	0	0	0	3	13	-10	1	0	1	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	3	5	8	0	0	10	13	15	0	33	120	109	121	0	80	23	11	29	6	0	0.00%	3	0	100.00%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
3	IceHogs	2	1	1	0	0	0	0	0	5	8	-3	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	6	-5	2	0.500	5	9	14	0	0	10	13	15	0	38	120	109	121	0	58	14	20	29	7	0	0.00%	10	2	80.00%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
4	Mariners	2	0	2	0	0	0	0	0	7	14	-7	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	3	8	-5	0	0.000	7	14	21	0	0	10	13	15	0	42	120	109	121	0	124	26	2	23	6	2	33.33%	1	0	100.00%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
5	Moose	2	0	2	0	0	0	0	0	3	13	-10	1	0	1	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	3	6	9	0	0	10	13	15	0	30	120	109	121	0	107	26	8	16	4	1	25.00%	4	0	100.00%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
6	Rampage	2	1	1	0	0	0	0	0	9	10	-1	1	1	0	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	9	18	27	0	0	10	13	15	0	78	120	109	121	0	98	30	4	48	3	0	0.00%	1	0	100.00%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
7	Stars	2	0	2	0	0	0	0	0	10	12	-2	1	0	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	5	6	-1	0	0.000	10	20	30	0	0	10	13	15	0	88	120	109	121	0	97	25	4	52	2	0	0.00%	2	0	100.00%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
8	Wolves	2	0	2	0	0	0	0	0	1	13	-12	1	0	1	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	0	6	-6	0	0.000	1	1	2	0	0	10	13	15	0	19	120	109	121	0	92	22	6	22	6	0	0.00%	3	2	33.33%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
	Total	16	2	14	0	0	0	0	0	38	93	-55	8	2	6	0	0	0	0	0	23	46	-23	8	0	8	0	0	0	0	0	15	47	-32	4	0.125	38	73	111	0	0	10	13	15	0	350	120	109	121	0	732	199	66	234	39	3	7.69%	27	5	81.48%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
	_Since Last GM Reset	16	2	14	0	0	0	0	0	38	93	-55	8	2	6	0	0	0	0	0	23	46	-23	8	0	8	0	0	0	0	0	15	47	-32	4	0.125	38	73	111	0	0	10	13	15	0	350	120	109	121	0	732	199	66	234	39	3	7.69%	27	5	81.48%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
	_Vs Conference	16	2	14	0	0	0	0	0	38	93	-55	8	2	6	0	0	0	0	0	23	46	-23	8	0	8	0	0	0	0	0	15	47	-32	4	0.125	38	73	111	0	0	10	13	15	0	350	120	109	121	0	732	199	66	234	39	3	7.69%	27	5	81.48%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
	_Vs Division	10	2	14	0	0	0	0	0	30	56	-26	5	2	6	0	0	0	0	0	18	27	-9	5	0	8	0	0	0	0	0	12	29	-17	4	0.200	30	58	88	0	0	10	13	15	0	267	120	109	121	0	440	118	47	174	22	1	4.55%	20	2	90.00%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62

			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	4	L10	38	73	111	350	732	199	66	234	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	2	14	0	0	0	0	38	93

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	2	6	0	0	0	0	23	46

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	0	8	0	0	0	0	15	47

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	10	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
39	3	7.69%	27	5	81.48%	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
120	109	121	0	10	13	15	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
91	273	33.33%	134	476	28.15%	73	253	28.85%

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
208	139	588	112	163	62

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	12	Wild	1	Moose	6	L	Sommaire du Match
2 - 2021-10-19	16	Wild	1	IceHogs	6	L	Sommaire du Match
3 - 2021-10-20	34	IceHogs	2	Wild	4	W	Sommaire du Match
5 - 2021-10-22	50	Wolves	7	Wild	1	L	Sommaire du Match
6 - 2021-10-23	72	Wild	5	Stars	6	L	Sommaire du Match
7 - 2021-10-24	85	Rampage	4	Wild	5	W	Sommaire du Match
8 - 2021-10-25	103	Moose	7	Wild	2	L	Sommaire du Match
10 - 2021-10-27	124	Wild	0	Americans	4	L	Sommaire du Match
11 - 2021-10-28	139	Americans	6	Wild	0	L	Sommaire du Match
13 - 2021-10-30	160	Mariners	6	Wild	4	L	Sommaire du Match
14 - 2021-10-31	173	Wild	4	Rampage	6	L	Sommaire du Match
16 - 2021-11-02	186	Wild	1	Admirals	5	L	Sommaire du Match
17 - 2021-11-03	205	Stars	6	Wild	5	L	Sommaire du Match
19 - 2021-11-05	229	Admirals	8	Wild	2	L	Sommaire du Match
20 - 2021-11-06	231	Wild	3	Mariners	8	L	Sommaire du Match
21 - 2021-11-07	245	Wild	0	Wolves	6	L	Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	35	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$	1,644,917$	1,644,917$	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

	Wild
	GP: 16 \| W: 2 \| L: 14 \| OTL: 0 \| P: 4 GF: 38 \| GA: 93 \| PP%: 7.69% \| PK%: 81.48% DG: David \| Morale : 50 \| Moyenne d'Équipe : 59