German Fantasy Hockey League

Charlottetown Mussle Shovelers
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
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Historique
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Client Web pour Formation
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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	TA	SP
1	Nicklas Backstrom	0	X				100.00	65	42	83	89	77	81	99	90	91	91	77	69	64	80	85	0	78	78		1
2	John Tavares (C)	0	X				100.00	63	42	89	85	75	84	97	86	94	88	90	73	56	76	78	0	78	78		1
3	Mark Scheifele	0	X				100.00	75	44	90	87	74	85	87	84	92	91	87	70	85	68	69	0	73	78		0
4	Alexander Radulov	0			X		100.00	73	43	75	85	74	85	96	89	55	87	84	59	85	66	67	0	78	76		0
5	Rickard Rakell	0		X			100.00	80	44	93	87	73	81	91	81	52	82	90	60	67	66	68	0	78	75		0
6	Bryan Little (A)	0	X		X		100.00	67	42	89	86	67	75	88	75	97	76	72	69	61	79	80	0	78	72		0
7	Craig Smith	0			X		100.00	71	43	90	81	74	70	96	81	42	76	83	53	57	72	73	0	77	71		0
8	Alex Galchenyuk	0	X	X	X		100.00	63	42	91	88	72	74	89	80	44	79	74	59	50	69	71	0	78	71		0
9	Mark Letestu	0	X				100.00	71	43	95	70	69	64	96	74	90	64	60	84	70	73	74	0	78	69		0
10	Pavel Buchnevich	0		X	X		100.00	69	56	91	87	67	70	77	81	34	79	71	57	25	57	57	0	78	68		0
11	Ondrej Kase	0		X	X		100.00	63	41	92	86	67	67	84	71	32	72	81	58	70	58	58	0	78	68		0
12	Devante Smith-Pelly	0		X	X		100.00	85	60	85	75	79	63	81	58	43	61	59	76	75	67	69	0	52	65		0
13	Roman Josi (A)	0				X	100.00	76	44	89	90	71	91	91	84	25	76	60	88	61	71	73	0	76	78		0
14	Cam Fowler	0				X	100.00	61	42	87	89	77	92	91	81	44	68	53	86	63	73	76	0	77	76		0
15	Adam Larsson	0				X	100.00	99	48	84	82	77	85	88	60	25	52	48	88	25	69	70	0	76	74		0
16	Jay Bouwmeester	0				X	100.00	71	44	86	86	80	80	75	58	25	52	48	87	25	89	91	0	75	73		1
17	Alexei Emelin	0				X	100.00	89	46	84	71	79	71	93	58	25	50	47	85	25	68	70	0	78	70		0
18	Derrick Pouliot	0				X	100.00	76	54	84	77	75	75	80	73	25	62	48	66	25	59	60	0	75	67		0
Rayé
1	Jacob Josefson	0	X				100.00	69	42	94	79	69	59	59	56	73	55	57	86	90	66	67	0	67	64		0
2	Matt Irwin	0				X	100.00	81	45	94	73	78	63	81	61	25	51	48	71	25	65	66	0	43	66	X	0

	MOYENNE D'ÉQUIPE					100.00	73	45	88	83	74	76	87	74	52	71	67	72	55	70	71	0	74	72

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Cam Talbot	100.00	79	99	94	79	55	82	58	76	78	79	43	64	65	0	77	73	0
2	Charlie Lindgren	100.00	71	79	74	68	80	62	58	70	78	71	65	45	45	0	78	66	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	75	89	84	74	68	72	58	73	78	75	54	55	55	0	78	70

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jared Bednar	64	79	85	73	63	46	68	CAN	42	2	750,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	S1	S2	S3
1	Alexander Radulov	Minnesota Wild	RW	5	3	3	6	1	8	11	6	18	8	11	16.67%	4	103	20.66	0	1	1	2	10	0	0	1	0	41.67%	12	5	2	1.16	0	2	0
2	Mark Scheifele	Minnesota Wild	C	5	3	3	6	1	0	10	8	23	4	10	13.04%	1	110	22.06	1	0	1	3	10	1	6	0	0	60.55%	109	4	3	1.09	1	0	0
3	Rickard Rakell	Minnesota Wild	LW	5	0	5	5	1	0	7	3	10	5	7	0.00%	1	103	20.64	0	1	1	1	10	0	0	0	0	40.00%	5	0	2	0.97	0	0	0
4	Jay Bouwmeester	Minnesota Wild	D	5	2	1	3	3	0	6	9	5	1	0	40.00%	6	114	22.96	1	0	1	1	5	0	11	0	1	0.00%	0	0	4	0.52	0	0	1
5	John Tavares	Minnesota Wild	C	5	2	1	3	-2	2	8	9	22	9	14	9.09%	4	110	22.06	0	1	1	1	8	0	14	0	0	53.54%	99	3	1	0.54	0	0	0
6	Alex Galchenyuk	Minnesota Wild	C/LW/RW	5	0	3	3	-2	0	6	1	15	3	10	0.00%	0	95	19.13	0	1	1	1	8	0	0	0	0	33.33%	3	5	1	0.63	0	0	0
7	Derrick Pouliot	Minnesota Wild	D	5	1	1	2	-1	0	3	6	4	2	0	25.00%	2	93	18.61	0	0	0	0	5	0	5	0	0	0.00%	0	0	1	0.43	0	0	1
8	Pavel Buchnevich	Minnesota Wild	LW/RW	5	0	1	1	-2	0	2	5	3	1	4	0.00%	1	46	9.39	0	0	0	0	0	0	5	0	0	0.00%	0	6	0	0.43	0	0	0
9	Nicklas Backstrom	Minnesota Wild	C	5	1	0	1	-1	0	7	8	12	3	13	8.33%	2	74	14.97	0	0	0	0	0	0	8	0	0	61.70%	47	1	1	0.27	0	0	0
10	Bryan Little	Minnesota Wild	C/RW	5	0	1	1	-2	0	6	4	9	2	10	0.00%	3	96	19.21	0	0	0	0	8	0	0	0	0	100.00%	3	7	1	0.21	0	0	0
11	Roman Josi	Minnesota Wild	D	5	0	1	1	-6	6	4	14	6	1	2	0.00%	8	134	26.93	0	0	0	1	13	0	11	0	0	0.00%	0	2	5	0.15	0	0	0
12	Cam Fowler	Minnesota Wild	D	5	0	1	1	-5	10	4	7	9	2	2	0.00%	8	132	26.54	0	0	0	1	13	0	8	0	0	0.00%	0	3	4	0.15	0	0	0
13	Craig Smith	Minnesota Wild	RW	5	0	1	1	-1	0	3	0	7	6	3	0.00%	1	66	13.21	0	0	0	0	0	0	0	0	0	50.00%	2	3	0	0.30	0	0	0
14	Mark Letestu	Minnesota Wild	C	5	0	0	0	-2	0	4	5	6	1	6	0.00%	0	56	11.25	0	0	0	0	0	0	14	0	0	53.13%	32	0	0	0.00	0	0	0
15	Adam Larsson	Minnesota Wild	D	5	0	0	0	3	2	10	4	9	3	3	0.00%	6	112	22.47	0	0	0	0	0	0	14	0	0	0.00%	0	0	4	0.00	0	0	0
16	Alexei Emelin	Minnesota Wild	D	5	0	0	0	-2	4	3	3	1	1	0	0.00%	3	79	15.98	0	0	0	0	0	0	1	0	0	0.00%	0	0	5	0.00	0	0	0
17	Ondrej Kase	Minnesota Wild	LW/RW	5	0	0	0	-1	0	3	0	6	1	4	0.00%	1	70	14.01	0	0	0	0	0	0	2	0	0	50.00%	4	0	0	0.00	0	0	0
18	Devante Smith-Pelly	Minnesota Wild	LW/RW	5	0	0	0	-2	0	5	2	5	0	1	0.00%	0	40	8.03	0	0	0	0	0	0	0	0	0	0.00%	1	0	2	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				90	12	22	34	-20	32	102	94	170	53	100	7.06%	51	1640	18.23	2	4	6	11	99	1	104	1	1	56.47%	317	39	36	0.41	1	2	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	Cam Talbot	Minnesota Wild	5	1	3	1	0.892	3.25	332	0	0	18	167	81	0	0	0.000	0	5	0	0	0	0
Stats d'équipe Total ou en Moyenne			5	1	3	1	0.892	3.25	332	0	0	18	167	81	0	0	0.000	0	5	0	0	0	0

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Adam Larsson	Minnesota Wild	D	26	12.11.1992	No	215 Lbs	6 ft3	No	No	No	3	Avec Restriction	Pro & Farm	4,166,666$	4,166,666$	0$	No	Lien
Alex Galchenyuk	Minnesota Wild	C/LW/RW	25	11.02.1994	No	210 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	4,800,000$	4,800,000$	0$	No	Lien
Alexander Radulov	Minnesota Wild	RW	32	05.07.1986	No	205 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	450,000$	450,000$	0$	No	Lien
Alexei Emelin	Minnesota Wild	D	33	24.04.1986	No	218 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	450,000$	450,000$	0$	No	Lien
Bryan Little	Minnesota Wild	C/RW	31	11.11.1987	No	191 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro & Farm	5,291,666$	5,291,666$	0$	No	Lien
Cam Fowler	Minnesota Wild	D	27	05.12.1991	No	207 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	6,800,000$	6,800,000$	0$	No	Lien
Cam Talbot	Minnesota Wild	G	31	04.07.1987	No	199 Lbs	6 ft3	No	No	No	2	Sans Restriction	Pro & Farm	5,700,000$	5,700,000$	0$	No	Lien
Charlie Lindgren	Minnesota Wild	G	25	17.12.1993	No	190 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	450,000$	450,000$	0$	No	Lien
Craig Smith	Minnesota Wild	RW	29	04.09.1989	No	208 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	3,700,000$	3,700,000$	0$	No	Lien
Derrick Pouliot	Minnesota Wild	D	25	16.01.1994	No	208 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$	0$	No	Lien
Devante Smith-Pelly	Minnesota Wild	LW/RW	26	13.06.1992	No	214 Lbs	6 ft0	No	No	No	3	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$	0$	No	Lien
Jacob Josefson	Minnesota Wild	C	28	02.03.1991	No	190 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	2,200,000$	2,200,000$	0$	No	Lien
Jay Bouwmeester	Minnesota Wild	D	35	27.09.1983	No	221 Lbs	6 ft4	No	No	No	2	Sans Restriction	Pro Only	2,000,000$	2,000,000$	0$	No	Lien
John Tavares	Minnesota Wild	C	28	20.09.1990	No	211 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro Only	7,500,000$	7,500,000$	0$	No	Lien
Mark Letestu	Minnesota Wild	C	34	03.02.1985	No	197 Lbs	5 ft10	No	No	No	2	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$	0$	No	Lien
Mark Scheifele	Minnesota Wild	C	26	14.03.1993	No	207 Lbs	6 ft3	No	No	No	3	Avec Restriction	Pro & Farm	6,125,000$	6,125,000$	0$	No	Lien
Matt Irwin	Minnesota Wild	D	31	29.11.1987	No	207 Lbs	6 ft1	No	Yes	No	1	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$	0$	No	Lien
Nicklas Backstrom	Minnesota Wild	C	31	23.11.1987	No	213 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro Only	6,700,000$	6,700,000$	0$	No	Lien
Ondrej Kase	Minnesota Wild	LW/RW	23	08.11.1995	No	180 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	500,000$	500,000$	0$	No	Lien
Pavel Buchnevich	Minnesota Wild	LW/RW	24	17.04.1995	No	193 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	925,000$	925,000$	0$	No	Lien
Rickard Rakell	Minnesota Wild	LW	26	05.05.1993	No	201 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	3,200,000$	3,200,000$	0$	No	Lien
Roman Josi	Minnesota Wild	D	29	31.05.1990	No	201 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	7,500,000$	7,500,000$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	28.41	204 Lbs	6 ft1	1.77	3,293,561$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
72,458,332$	38,808,332$	24,208,332$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Rickard Rakell	Nicklas Backstrom	Alexander Radulov	35	0	0	5
2	Alex Galchenyuk	John Tavares	Bryan Little	35	0	0	5
3	Pavel Buchnevich	Mark Scheifele	Craig Smith	25	1	1	3
4	Ondrej Kase	Bryan Little	Devante Smith-Pelly	5	2	3	0

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Roman Josi	Cam Fowler	34	1	4	0
2	Adam Larsson	Jay Bouwmeester	34	1	4	0
3	Alexei Emelin	Derrick Pouliot	25	1	4	0
4	Roman Josi	Cam Fowler	7	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Rickard Rakell	Nicklas Backstrom	Alexander Radulov	60	1	0	4
2	Alex Galchenyuk	John Tavares	Bryan Little	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Roman Josi	Cam Fowler	80	1	1	3
2	Adam Larsson	Jay Bouwmeester	20	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nicklas Backstrom	Rickard Rakell	60	1	2	2
2	John Tavares	Alex Galchenyuk	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Roman Josi	Cam Fowler	60	1	2	2
2	Adam Larsson	Jay Bouwmeester	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Nicklas Backstrom	60	1	2	2	Roman Josi	Cam Fowler	60	1	2	2
2	John Tavares	40	1	2	2	Adam Larsson	Jay Bouwmeester	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nicklas Backstrom	Rickard Rakell	60	1	2	2
2	John Tavares	Alex Galchenyuk	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Roman Josi	Cam Fowler	60	1	2	2
2	Adam Larsson	Jay Bouwmeester	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Rickard Rakell	Nicklas Backstrom	Alexander Radulov	Roman Josi	Cam Fowler

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Rickard Rakell	Nicklas Backstrom	Alexander Radulov	Roman Josi	Cam Fowler

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Rickard Rakell, Bryan Little, Alex Galchenyuk	Rickard Rakell, Bryan Little	Rickard Rakell

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jay Bouwmeester, Alexei Emelin, Derrick Pouliot	Jay Bouwmeester	Jay Bouwmeester, Alexei Emelin

Tirs de Pénalité
Nicklas Backstrom, John Tavares, Mark Scheifele, Alexander Radulov, Rickard Rakell

Gardien
#1 : Cam Talbot, #2 : Charlie Lindgren

Lignes d'Attaque Perso. en Prol.
Mark Scheifele, Alexander Radulov, John Tavares, Rickard Rakell, Nicklas Backstrom, Mark Letestu, Mark Letestu, Ondrej Kase, Pavel Buchnevich, Bryan Little, Alex Galchenyuk

Lignes de Défense Perso. en Prol.
Derrick Pouliot, Cam Fowler, Roman Josi, Adam Larsson, Alexei Emelin

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	Colorado Avalanche	5	1	4	0	0	0	0	0	12	18	-6	3	1	2	0	0	0	0	0	10	11	-1	2	0	2	0	0	0	0	0	2	7	-5	2	0.200	12	22	34	0	0	1	4	6	1	170	45	49	60	16	167	51	32	102	12	2	16.67%	16	4	75.00%	0	63	117	53.85%	65	119	54.62%	51	81	62.96%	127	78	107	47	98	49
	Total	5	1	4	0	0	0	0	0	12	18	-6	3	1	2	0	0	0	0	0	10	11	-1	2	0	2	0	0	0	0	0	2	7	-5	2	0.200	12	22	34	0	0	1	4	6	1	170	45	49	60	16	167	51	32	102	12	2	16.67%	16	4	75.00%	0	63	117	53.85%	65	119	54.62%	51	81	62.96%	127	78	107	47	98	49
	_Since Last GM Reset	5	1	4	0	0	0	0	0	12	18	-6	3	1	2	0	0	0	0	0	10	11	-1	2	0	2	0	0	0	0	0	2	7	-5	2	0.200	12	22	34	0	0	1	4	6	1	170	45	49	60	16	167	51	32	102	12	2	16.67%	16	4	75.00%	0	63	117	53.85%	65	119	54.62%	51	81	62.96%	127	78	107	47	98	49
	_Vs Conference	5	1	4	0	0	0	0	0	12	18	-6	3	1	2	0	0	0	0	0	10	11	-1	2	0	2	0	0	0	0	0	2	7	-5	2	0.200	12	22	34	0	0	1	4	6	1	170	45	49	60	16	167	51	32	102	12	2	16.67%	16	4	75.00%	0	63	117	53.85%	65	119	54.62%	51	81	62.96%	127	78	107	47	98	49
	_Vs Division	5	1	4	0	0	0	0	0	12	18	-6	3	1	2	0	0	0	0	0	10	11	-1	2	0	2	0	0	0	0	0	2	7	-5	2	0.200	12	22	34	0	0	1	4	6	1	170	45	49	60	16	167	51	32	102	12	2	16.67%	16	4	75.00%	0	63	117	53.85%	65	119	54.62%	51	81	62.96%	127	78	107	47	98	49

			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
5	2	OTL1	12	22	34	170	167	51	32	102	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	4	0	0	0	0	12	18

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	10	11

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	2	7

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	3	1	1	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
12	2	16.67%	16	4	75.00%	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
45	49	60	16	1	4	6	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
63	117	53.85%	65	119	54.62%	51	81	62.96%

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
127	78	107	47	98	49

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	Lien
1 - 2018-10-02	4	Colorado Avalanche	3	Minnesota Wild	4	W	X	Sommaire du Match
3 - 2018-10-04	12	Colorado Avalanche	5	Minnesota Wild	4	L		Sommaire du Match
5 - 2018-10-06	20	Minnesota Wild	0	Colorado Avalanche	4	L		Sommaire du Match
7 - 2018-10-08	28	Minnesota Wild	2	Colorado Avalanche	3	L		Sommaire du Match
9 - 2018-10-10	36	Colorado Avalanche	3	Minnesota Wild	2	L	X	Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6064	5000	3000	4000	1000
Prix des Billets	140	80	50	35	250
Assistance	17,650	13,573	5,472	11,081	2,834
Attendance PCT	97.02%	90.49%	60.80%	92.34%	94.47%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
38	16870 - 88.49%	1,970,710$	5,912,130$	19064	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	72,458,332$	55,050,000$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0$	22	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	0$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	29,958,539$	29,958,539$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Rickard Rakell	AGE:26	PO:0	OV:75
Alex Galchenyuk	AGE:25	PO:0	OV:71
Pavel Buchnevich	AGE:24	PO:0	OV:68
Ondrej Kase	AGE:23	PO:0	OV:68
Devante Smith-Pelly	AGE:26	PO:0	OV:65
Anton Slepyshev	AGE:25	PO:0	OV:61
Kevin Roy	AGE:26	PO:0	OV:61
Matt Lorito	AGE:28	PO:0	OV:61
Marcus Sorensen	AGE:27	PO:0	OV:61
Stefan Matteau	AGE:25	PO:0	OV:61
Peter Cehlarik	AGE:24	PO:0	OV:60
Joseph LaBate	AGE:26	PO:0	OV:54
Vladimir Tkachev	AGE:23	PO:0	OV:48
Roman Lyubimov	AGE:27	PO:0	OV:48
*Matthew Mistele	AGE:23	PO:0	OV:48
Andrew Desjardins	AGE:32	PO:0	OV:48

Nicklas Backstrom	AGE:31	PO:0	OV:78
John Tavares	AGE:28	PO:0	OV:78
Mark Scheifele	AGE:26	PO:0	OV:78
Bryan Little	AGE:31	PO:0	OV:72
Alex Galchenyuk	AGE:25	PO:0	OV:71
Mark Letestu	AGE:34	PO:0	OV:69
Jacob Josefson	AGE:28	PO:0	OV:64
Jean-Sebastien Dea	AGE:25	PO:0	OV:61
T.J. Tynan	AGE:27	PO:0	OV:61
Micheal Haley	AGE:33	PO:0	OV:59
Joseph LaBate	AGE:26	PO:0	OV:54
*Cameron Hughes	AGE:22	PO:0	OV:53
*Reid Duke	AGE:23	PO:0	OV:51
Vladimir Tkachev	AGE:23	PO:0	OV:48
Roman Lyubimov	AGE:27	PO:0	OV:48
Chris VandeVelde	AGE:32	PO:0	OV:48
Andrew Desjardins	AGE:32	PO:0	OV:48

Alexander Radulov	AGE:32	PO:0	OV:76
Bryan Little	AGE:31	PO:0	OV:72
Craig Smith	AGE:29	PO:0	OV:71
Alex Galchenyuk	AGE:25	PO:0	OV:71
Pavel Buchnevich	AGE:24	PO:0	OV:68
Ondrej Kase	AGE:23	PO:0	OV:68
Devante Smith-Pelly	AGE:26	PO:0	OV:65
Anton Slepyshev	AGE:25	PO:0	OV:61
Kevin Roy	AGE:26	PO:0	OV:61
Matt Lorito	AGE:28	PO:0	OV:61
Marcus Sorensen	AGE:27	PO:0	OV:61
Peter Cehlarik	AGE:24	PO:0	OV:60
*Matthew Mistele	AGE:23	PO:0	OV:48
Shane Harper	AGE:30	PO:0	OV:48

Défense #1

Défense #2

Gardien

Roman Josi	AGE:29	PO:0	OV:78
Cam Fowler	AGE:27	PO:0	OV:76
Adam Larsson	AGE:26	PO:0	OV:74
Jay Bouwmeester	AGE:35	PO:0	OV:73
Alexei Emelin	AGE:33	PO:0	OV:70
Derrick Pouliot	AGE:25	PO:0	OV:67
Matt Irwin	AGE:31	PO:0	OV:66
Michal Kempny	AGE:28	PO:0	OV:64
*Victor Mete	AGE:20	PO:0	OV:61
MacKenzie Weegar	AGE:25	PO:0	OV:61
*Evan McEneny	AGE:25	PO:0	OV:60

Martin Marincin	AGE:27	PO:0	OV:60
*Zach Trotman	AGE:28	PO:0	OV:60
Yohann Auvitu	AGE:29	PO:0	OV:59
*Brennan Menell	AGE:22	PO:0	OV:59
Jarred Tinordi	AGE:27	PO:0	OV:59
Joel Hanley	AGE:27	PO:0	OV:57
*Gavin Bayreuther	AGE:25	PO:0	OV:57
*Louie Belpedio	AGE:23	PO:0	OV:54
Nick Ebert	AGE:25	PO:0	OV:48
*Rushan Rafikov	AGE:24	PO:0	OV:48

Cam Talbot	AGE:31	PO:0	OV:73
Charlie Lindgren	AGE:25	PO:0	OV:66
Eddie Pasquale	AGE:28	PO:0	OV:63
Alex Nedeljkovic	AGE:23	PO:0	OV:59
Pheonix Copley	AGE:27	PO:0	OV:56
Steve Michalek	AGE:25	PO:0	OV:55
Magnus Hellberg	AGE:28	PO:0	OV:49

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total	Information
Aidan Dudas	Minnesota Wild	2018	95
Alexander Barabanov	Minnesota Wild
Alexander Khovanov	Minnesota Wild	2018	83
Allan McShane	Minnesota Wild	2018	86
Daniil Vovchenko	Minnesota Wild	2016		undrafted UFA
David Bernhardt	Minnesota Wild	2016	177
David Pope	Minnesota Wild	2018		undrafted UFA
Dennis Cesana	Minnesota Wild	2018		undrafted UFA 450.000
Dylan Sikura	Minnesota Wild
Evan Smith	Minnesota Wild	2015	199
Gustav Bouramman	Minnesota Wild	2015	147
Hayden Verbeek	Minnesota Wild	2018		undrafted UFA
Hunter Drew	Minnesota Wild	2018		undrafted UFA 450.000
Ivan Chekhovich	Minnesota Wild	2017	145
Jack McBain	Minnesota Wild	2018	55
Jake Kucharski	Minnesota Wild	2018	207
Jake Wise	Minnesota Wild	2018	52
Jonah Gadjovich	Minnesota Wild	2017	49
Jonatan Berggren	Minnesota Wild	2018	24
Jordan Hollett	Minnesota Wild	2017	204
Linus Hultstrom	Minnesota Wild
Lukas Jasek	Minnesota Wild	2015	163
Marian Studenic	Minnesota Wild	2017	142
Markus Niemelainen	Minnesota Wild	2016	54
Mason Shaw	Minnesota Wild	2017	93
Mathias Emilio Pettersen	Minnesota Wild	2018	176
Matthew Hellickson	Minnesota Wild	2018		undrafted UFA 450.000
Max Veronneau	Minnesota Wild	2018		undrafted UFA
Maxime Fortier	Minnesota Wild	2017	173
Mikhail Berdin	Minnesota Wild	2016	161
Mitch Reinke	Minnesota Wild	2018		undrafted UFA
Noah Cates	Minnesota Wild	2017	118
Noel Hoefenmayer	Minnesota Wild	2017	111
Sam Hentges	Minnesota Wild	2018	210
Sam Miletic	Minnesota Wild	2017		undrafted UFA 1/5 450.000
Simon Johansson	Minnesota Wild	2018	145
Simon Stransky	Minnesota Wild	2016	191
Tyler Soy	Minnesota Wild	2016	205
Tyler Vesel	Minnesota Wild	2018		undrafted UFA
Vladimir Kuznetsov	Minnesota Wild	2017	180
Wyatt Kalynuk	Minnesota Wild	2018		undrafted UFA 450.000
Yuri Alexandrov	Minnesota Wild	2016		undrafted UFA 450.000 3 Jahre

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2019					MIN		LAK BUF DAL
2020	MIN		MIN		MIN	MIN	MIN
2021	MIN	MIN	MIN	MIN	MIN	MIN	MIN
2022	MIN	MIN	MIN	MIN	MIN	MIN	MIN
2023	MIN	MIN	MIN	MIN	MIN	MIN	MIN

[03.06.2019 21:32:26] - Charlottetown Mussle Shovelers was eliminated at round 4 of year 2018.
[22.04.2019 22:32:30] - Minnesota Wild was eliminated at round 1 of year 2018.
[02.02.2019 22:31:26] - TRADE : From Minnesota Wild to Dallas Stars : Tim Schaller (67), Y:2019-RND:6-MIN, Y:2020-RND:2-MIN.
[02.02.2019 22:31:26] - TRADE : From Dallas Stars to Minnesota Wild : Craig Smith (71), Y:2019-RND:7-DAL.
[30.01.2019 23:09:33] - TRADE : From Winnipeg Jets to Minnesota Wild : Y:2019-RND:7-BUF.
[30.01.2019 23:09:33] - TRADE : From Minnesota Wild to Winnipeg Jets : Eric Fehr (67).
[06.10.2018 22:59:41] - Bryan Little has been selected as assistant for Minnesota Wild.
[06.10.2018 22:59:41] - Unknown Player is no longer as assistant for Minnesota Wild.
[06.10.2018 22:59:41] - Roman Josi has been selected as assistant for Minnesota Wild.
[06.10.2018 22:59:41] - Unknown Player is no longer as assistant for Minnesota Wild.
[06.10.2018 22:59:41] - John Tavares has been selected as captain for Minnesota Wild.
[06.10.2018 22:59:41] - Unknown Player is no longer captain for Minnesota Wild.
[20.09.2018 17:38:07] - Alexei Emelin signed with Minnesota Wild for 450.000 € for 1 year(s) with 0 € in bonus.
[20.09.2018 17:38:07] - Alexei Emelin was added to Minnesota Wild.
[12.09.2018 21:28:38] - TRADE : From Minnesota Wild to Los Angeles Kings : Marcus Kruger (65).

[05.06.2019 22:44:35] Victor Mete from Charlottetown Mussle Shovelers is back from Exhaustion.
[03.06.2019 21:32:26] Michal Kempny from Charlottetown Mussle Shovelers is back from Strained Left Elbow Injury.
[03.06.2019 21:32:26] Victor Mete from Charlottetown Mussle Shovelers is injured from Exhaustion.
[03.06.2019 21:32:26] Game 102 - Eddie Pasquale from Charlottetown Mussle Shovelers is injured (Left Eye) and is out for 3 weeks.
[03.06.2019 21:31:48] Successfully loaded Minnesota Wild lines done with Web Base Client and SQLite Database.
[02.06.2019 21:08:24] Eddie Pasquale from Charlottetown Mussle Shovelers is back from Exhaustion.
[01.06.2019 22:20:19] Eddie Pasquale from Charlottetown Mussle Shovelers injured (Exhaustion)
[30.05.2019 22:24:40] Successfully loaded Minnesota Wild lines done with Web Base Client and SQLite Database.
[29.05.2019 21:42:22] Auto Lines Partial Function has been run for Charlottetown Mussle Shovelers.
[29.05.2019 21:42:22] Auto Roster Farm Only Function has been run for Minnesota Wild.
[29.05.2019 21:42:22] Charlottetown Mussle Shovelers roster errors : Not enough Defenseman available in Farm Team! 5 Dressed. 6 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[28.05.2019 22:37:41] Game 99 - Michal Kempny from Charlottetown Mussle Shovelers is injured (Strained Left Elbow) and is out for 1 week.
[28.05.2019 22:37:02] Successfully loaded Minnesota Wild lines done with Web Base Client and SQLite Database.
[27.05.2019 23:03:49] Matthew Mistele from Charlottetown Mussle Shovelers is back from Bruised Left Leg Injury.
[25.05.2019 22:53:36] Eddie Pasquale from Charlottetown Mussle Shovelers is back from Back Injury.
[25.05.2019 22:51:00] Successfully loaded Minnesota Wild lines done with Web Base Client and SQLite Database.
[23.05.2019 00:15:13] Game 94 - Eddie Pasquale from Charlottetown Mussle Shovelers is injured (Back) and is out for 5 days.
[23.05.2019 00:14:37] Successfully loaded Minnesota Wild lines done with Web Base Client and SQLite Database.
[21.05.2019 22:17:32] Eddie Pasquale from Charlottetown Mussle Shovelers is back from Exhaustion.
[20.05.2019 23:22:43] Eddie Pasquale from Charlottetown Mussle Shovelers injured (Exhaustion)
[20.05.2019 23:20:43] Auto Lines Partial Function has been run for Charlottetown Mussle Shovelers.
[20.05.2019 23:20:43] Auto Roster Farm Only Function has been run for Minnesota Wild.
[20.05.2019 23:20:43] Charlottetown Mussle Shovelers roster errors : Not enough Defenseman available in Farm Team! 4 Dressed. 6 Required. Not enough Players available in Farm Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[19.05.2019 22:36:52] MacKenzie Weegar from Charlottetown Mussle Shovelers is back from Exhaustion.
[19.05.2019 22:36:52] Michal Kempny from Charlottetown Mussle Shovelers is back from Exhaustion.
[19.05.2019 22:36:52] Last 7 Days Farm Star : 1 - Jean-Sebastien Dea of Charlottetown Mussle Shovelers (5-2-7) / 2 - Denis Malgin of Florida Everblades (4-6-10) / 3 - Alex Broadhurst of Florida Everblades (4-6-10)
[16.05.2019 22:43:04] MacKenzie Weegar from Charlottetown Mussle Shovelers is injured from Exhaustion.
[16.05.2019 22:43:04] Michal Kempny from Charlottetown Mussle Shovelers is injured from Exhaustion.
[14.05.2019 22:15:43] Auto Lines Partial Function has been run for Charlottetown Mussle Shovelers.
[14.05.2019 22:15:43] Auto Roster Farm Only Function has been run for Minnesota Wild.
[14.05.2019 22:15:42] Charlottetown Mussle Shovelers roster errors : Not enough Forward available in Farm Team! 11 Dressed. 12 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[12.05.2019 23:00:13] Last 30 Days Farm Star : 1 - Jean-Sebastien Dea of Charlottetown Mussle Shovelers (11-12-23) / 2 - Tanner Fritz of Naples Stingrays (12-9-21) / 3 - Denis Malgin of Florida Everblades (10-11-21)
[12.05.2019 23:00:13] Jean-Sebastien Dea from Charlottetown Mussle Shovelers has scored a Hat Trick!
[12.05.2019 23:00:13] Game 86 - Marcus Sorensen from Charlottetown Mussle Shovelers is injured (Broken Right Thumb) and is out for 2 months.
[12.05.2019 22:59:17] Successfully loaded Minnesota Wild lines done with STHS Client - 3.1.6.6
[10.05.2019 22:05:00] Marcus Sorensen from Charlottetown Mussle Shovelers is back from Lacerated Left Calf Injury.
[09.05.2019 21:57:16] Martin Marincin from Charlottetown Mussle Shovelers is back from Strained Left Knee Injury.
[08.05.2019 22:11:28] MacKenzie Weegar from Charlottetown Mussle Shovelers is back from Right Leg Injury.
[08.05.2019 22:11:28] Michal Kempny from Charlottetown Mussle Shovelers is back from Left Knee Injury.
[04.05.2019 23:44:59] Peter Cehlarik from Charlottetown Mussle Shovelers completes suspension
[04.05.2019 23:44:58] Game 72 - Martin Marincin from Charlottetown Mussle Shovelers is injured (Strained Left Knee) and is out for 1 week.
[04.05.2019 23:44:51] Auto Lines Partial Function has been run for Charlottetown Mussle Shovelers.
[04.05.2019 23:44:51] Auto Roster Farm Only Function has been run for Minnesota Wild.
[04.05.2019 23:44:51] Charlottetown Mussle Shovelers roster errors : Not enough Right Wings available in Farm Team! 3 Dressed. 4 Required. Not enough Forward available in Farm Team! 11 Dressed. 12 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[04.05.2019 23:44:23] Charlottetown Mussle Shovelers roster errors : Not enough Right Wings available in Farm Team! 3 Dressed. 4 Required. Not enough Forward available in Farm Team! 11 Dressed. 12 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[04.05.2019 23:42:35] Charlottetown Mussle Shovelers roster errors : Not enough Right Wings available in Farm Team! 3 Dressed. 4 Required. Not enough Forward available in Farm Team! 11 Dressed. 12 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[04.05.2019 23:42:35] Auto Roster Function has been run for Minnesota Wild.
[04.05.2019 23:42:35] Auto Roster Partial Function has been run for Minnesota Wild.
[04.05.2019 23:42:35] Charlottetown Mussle Shovelers roster errors : Not enough Right Wings available in Farm Team! 3 Dressed. 4 Required. Not enough Forward available in Farm Team! 11 Dressed. 12 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[04.05.2019 23:42:29] Charlottetown Mussle Shovelers roster errors : Not enough Right Wings available in Farm Team! 3 Dressed. 4 Required. Not enough Forward available in Farm Team! 11 Dressed. 12 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.

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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
2018	5	1	4	0	0	0	0	0	12	18	-6	3	1	2	0	0	0	0	0	10	11	-1	2	0	2	0	0	0	0	0	2	7	-5	2	12	22	34	0	0	1	4	6	1	170	45	49	60	16	167	51	32	102	12	2	16.67%	16	4	75.00%	0	63	117	53.85%	65	119	54.62%	51	81	62.96%	127	78	107	47	98	49
Total Séries	5	1	4	0	0	0	0	0	12	18	-6	3	1	2	0	0	0	0	0	10	11	-1	2	0	2	0	0	0	0	0	2	7	-5	2	12	22	34	0	0	1	4	6	1	170	45	49	60	16	167	51	32	102	12	2	16.67%	16	4	75.00%	0	63	117	53.85%	65	119	54.62%	51	81	62.96%	127	78	107	47	98	49