Roadrunners
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension

Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	NFHL
	Entraîneur	Andre Tourigny
	Division	Central Division
	Conférence	Western Conference
	Capitaine	Mark Stone
	Assistant #1
	Assistant #2	Josh Morrissey
Informations de l’aréna
	Nom	EnergySolutions Arena
	Capacité	19,500
	Assistance
	Billets de saison	7,800
Informations de la formation
	Équipe Pro	20
	Équipe Mineure	22
	Limite contact	42 / 65
	Espoirs	18
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	82,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	29,228,223$
	Compte bancaire projeté	29,228,223$

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Travis Boyd	X				100.00	66	50	94	85	72	76	74	76	70	75	69	67	65	60	64	0	99	0	0	31	1	650,000$
2	Andrew Cogliano	X				100.00	64	50	93	76	68	77	92	72	64	68	67	80	65	72	73	0	99	0	0	37	1	1,300,000$
3	Stefan Noesen		X	X		100.00	72	52	91	83	77	78	94	75	64	71	70	69	66	73	72	0	99	0	0	31	2	1,000,000$
4	Mark Stone (C)		X	X		100.00	66	50	92	90	80	86	87	83	61	86	75	80	65	64	67	0	99	0	0	32	1	4,903,200$
5	Sean Monahan	X				100.00	63	50	94	88	77	85	95	79	92	75	76	74	71	59	63	0	99	0	0	30	1	4,350,000$
6	Yakov Trenin	X				100.00	82	54	90	74	76	81	93	71	64	65	70	84	65	56	64	0	99	0	0	27	2	2,850,000$
7	Mason McTavish	X				100.00	70	50	82	87	80	83	89	78	83	74	75	69	66	46	55	0	99	0	0	21	1	1,500,000$
8	Rickard Rakell		X	X		100.00	73	50	92	86	74	83	91	76	61	72	72	70	68	61	67	0	99	0	0	31	2	3,325,000$
9	Elias Pettersson	X				100.00	73	50	94	94	68	86	95	86	82	86	80	80	67	53	60	0	99	0	0	26	1	4,300,000$
10	Ryan Pulock				X	100.00	74	50	93	84	81	89	87	77	25	71	71	83	65	59	63	0	99	0	0	30	1	4,250,000$
11	Josh Morrissey (A)				X	100.00	71	50	90	94	74	91	94	90	25	91	74	72	65	59	63	0	99	0	0	29	1	4,250,000$
12	Jaccob Slavin				X	100.00	66	50	95	88	79	87	94	80	25	77	70	82	65	53	63	0	99	0	0	30	3	4,750,000$
Rayé
1	Isac Lundestrom	X				100.00	71	50	95	75	73	81	84	71	71	67	68	81	65	53	59	0	99	0	0	25	2	2,250,000$
2	Vasily Podkolzin		X	X		100.00	73	50	92	70	72	77	90	69	61	69	69	73	65	49	57	0	99	0	0	23	2	1,575,000$
3	Alexander Alexeyev				X	100.00	71	50	94	66	81	80	81	68	25	65	65	73	65	54	62	0	99	0	0	25	1	950,000$
4	Calen Addison				X	100.00	66	50	85	82	66	84	91	74	25	70	65	70	65	56	62	0	99	0	0	24	2	1,750,000$
5	Parker Wotherspoon				X	100.00	75	58	88	77	74	84	88	72	25	69	65	81	65	65	69	0	99	0	0	27	1	1,750,000$
Équipe Mineure
1	Danila Klimovich	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	58	59	0	78	0	0	21	1	1,250,000$
2	Mikhail Maltsev	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	50	60	0	78	0	0	26	1	909,563$
3	Justin Hryckowian	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	46	59	0	81	0	0	23	1	650,000$
4	Zack Ostapchuk	X				100.00	65	50	89	66	78	77	94	64	71	64	64	72	65	52	59	0	99	0	0	21	1	1,250,000$
5	Brendan Brisson	X				100.00	60	50	87	70	72	79	91	69	62	69	69	68	65	43	58	0	99	0	0	23	1	1,250,000$
6	Ryker Evans				X	100.00	74	50	90	82	71	86	88	75	25	70	65	73	65	43	58	0	99	0	0	23	1	1,250,000$
7	Dmitry Kuzmin				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	41	56	0	80	0	0	21	2	825,000$
8	Gage Goncalves	X				100.00	62	50	89	71	71	76	92	64	61	67	62	68	65	55	61	0	99	0	0	23	1	1,312,500$
9	Samuel Helenius	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	41	56	0	20	0	0	22	2	975,000$
10	Matvei Michkov (R)		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	2	2	0	1	0	1	20	3	1,500,000$
11	Joe Miller (R)	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	2	2	0	1	0	1	22	2	650,000$
12	Kalan Lind (R)		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	2	2	0	1	0	1	19	3	1,250,000$
13	Martin Misiak (R)		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	2	2	0	1	0	1	20	3	975,000$
14	Easton Cowan (R)	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	2	2	0	1	0	1	19	3	1,250,000$
15	Denver Barkey (R)	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	2	2	0	1	0	1	19	3	825,000$
16	Yan Kuznetsov				X	100.00	60	50	91	62	80	78	90	61	25	61	61	68	65	53	61	0	99	0	0	22	2	1,312,500$
17	Mikko Kokkonen				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	57	61	0	52	0	0	23	1	1,023,750$
18	Spencer Stastney				X	100.00	60	50	95	70	70	82	90	69	25	70	67	73	65	50	58	0	99	0	0	24	1	866,250$

	MOYENNE D’ÉQUIPE					100.00	64	52	79	71	68	73	78	67	53	66	64	68	62	46	51	0	76	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 gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Juuse Saros	100.00	73	91	91	73	90	80	80	77	83	76	75	58	66	0	99	0	0	29	4	4,450,000$
2	Dustin Tokarski	100.00	55	55	55	55	55	55	55	55	55	55	55	73	58	0	80	0	0	35	1	650,000$
Rayé
1	Matthew Murray	100.00	55	55	55	55	55	55	55	55	55	55	55	54	66	0	56	0	0	26	1	716,625$
Équipe Mineure
1	Leevi Merilainen	100.00	55	55	55	55	55	55	55	55	55	55	55	47	62	0	61	0	0	22	2	1,023,750$
2	Colton Point	100.00	55	55	55	55	55	55	55	55	55	55	55	58	68	0	55	0	0	26	1	771,750$
3	Jakub Malek (R)	100.00	55	55	55	55	55	55	55	55	55	55	55	2	2	0	1	0	1	22	2	750,000$
4	Vyacheslav Buteyets (R)	100.00	55	55	55	55	55	55	55	55	55	55	55	2	2	0	1	0	1	22	2	700,000$

	MOYENNE D’ÉQUIPE	100.00	58	60	60	58	60	59	59	58	59	58	58	42	46	0	50	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Andre Tourigny	81	80	80	84	64	69	1	CAN	99	1	1,000,000$

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond 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	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10
Alexander Alexeyev	Mammoth	D	25	1999-11-15	RUS	No	213 Lbs	6 ft4	No	No	N/A	No	No	1	False	False	Pro & Farm	950,000$	950,000$	950,000$	950,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Andrew Cogliano	Mammoth	C	37	1987-06-14	CAN	No	179 Lbs	5 ft10	No	No	N/A	No	No	1	False	False	Pro & Farm	1,300,000$	1,300,000$	1,300,000$	1,300,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Calen Addison	Mammoth	D	24	2000-04-11	CAN	No	173 Lbs	5 ft11	No	No	N/A	No	No	2	False	False	Pro & Farm	1,750,000$	1,750,000$	1,750,000$	1,750,000$	No	1,750,000$	-	-	-	-	-	-	-	-	1,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Dustin Tokarski	Mammoth	G	35	1989-09-16	CAN	No	198 Lbs	6 ft0	No	No	N/A	No	No	1	False	False	Pro & Farm	650,000$	650,000$	650,000$	650,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Elias Pettersson	Mammoth	C	26	1998-11-12	SWE	No	176 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	4,300,000$	4,300,000$	4,300,000$	4,300,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Isac Lundestrom	Mammoth	C	25	1999-11-06	SWE	No	193 Lbs	6 ft0	No	No	N/A	No	No	2	False	False	Pro & Farm	2,250,000$	2,250,000$	2,250,000$	2,250,000$	No	2,250,000$	-	-	-	-	-	-	-	-	2,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jaccob Slavin	Mammoth	D	30	1994-05-01	USA	No	207 Lbs	6 ft3	No	No	N/A	No	No	3	False	False	Pro & Farm	4,750,000$	4,750,000$	4,750,000$	4,750,000$	No	4,750,000$	4,750,000$	-	-	-	-	-	-	-	4,750,000$	4,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Josh Morrissey	Mammoth	D	29	1995-03-28	CAN	No	195 Lbs	6 ft0	No	No	N/A	No	No	1	False	False	Pro & Farm	4,250,000$	4,250,000$	4,250,000$	4,250,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Juuse Saros	Mammoth	G	29	1995-04-19	FIN	No	180 Lbs	5 ft11	No	No	N/A	No	No	4	False	False	Pro & Farm	4,450,000$	4,450,000$	4,450,000$	4,450,000$	No	4,450,000$	4,450,000$	4,450,000$	-	-	-	-	-	-	4,450,000$	4,450,000$	4,450,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Mark Stone	Mammoth	LW/RW	32	1992-05-13	CAN	No	212 Lbs	6 ft3	No	No	N/A	No	No	1	False	False	Pro & Farm	4,903,200$	4,903,200$	6,810,000$	6,810,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Mason McTavish	Mammoth	C	21	2003-01-30	CAN	No	213 Lbs	6 ft0	No	No	N/A	No	No	1	False	False	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Matthew Murray	Mammoth	G	26	1998-02-02	CAN	No	185 Lbs	6 ft1	No	No	N/A	No	No	1	False	False	Pro & Farm	716,625$	716,625$	716,625$	716,625$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Parker Wotherspoon	Mammoth	D	27	1997-08-24	CAN	No	195 Lbs	6 ft1	No	No	N/A	No	No	1	False	False	Pro & Farm	1,750,000$	1,750,000$	1,750,000$	1,750,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Rickard Rakell	Mammoth	LW/RW	31	1993-05-05	SWE	No	195 Lbs	6 ft1	No	No	N/A	No	No	2	False	False	Pro & Farm	3,325,000$	3,325,000$	4,750,000$	4,750,000$	No	2,992,500$	-	-	-	-	-	-	-	-	4,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Ryan Pulock	Mammoth	D	30	1994-10-06	CAN	No	216 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	4,250,000$	4,250,000$	4,250,000$	4,250,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Sean Monahan	Mammoth	C	30	1994-10-12	CAN	No	202 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	4,350,000$	4,350,000$	4,350,000$	4,350,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Stefan Noesen	Mammoth	LW/RW	31	1993-02-12	USA	No	205 Lbs	6 ft1	No	No	N/A	No	No	2	False	False	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Travis Boyd (contrat à 1 volet)	Mammoth	C	31	1993-09-14	USA	No	190 Lbs	6 ft0	No	No	N/A	No	No	1	False	False	Pro & Farm	650,000$	650,000$	650,000$	650,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Vasily Podkolzin	Mammoth	LW/RW	23	2001-06-24	RUS	No	190 Lbs	6 ft1	No	No	N/A	No	No	2	False	False	Pro & Farm	1,575,000$	1,575,000$	1,575,000$	1,575,000$	No	1,575,000$	-	-	-	-	-	-	-	-	1,575,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Yakov Trenin	Mammoth	C	27	1997-01-13	RUS	No	201 Lbs	6 ft2	No	No	N/A	No	No	2	False	False	Pro & Farm	2,850,000$	2,850,000$	2,850,000$	2,850,000$	No	2,850,000$	-	-	-	-	-	-	-	-	2,850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
20	28.45	196 Lbs	6 ft1	1.55	2,575,991$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
51,519,825$	21,617,500$	9,200,000$	4,450,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Mark Stone	Rickard Rakell		28	1	2	2
2	Stefan Noesen	Elias Pettersson	Sean Monahan	28	1	2	2
3	Andrew Cogliano	Travis Boyd		25	1	2	2
4	Mark Stone	Mason McTavish		19	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Josh Morrissey	Ryan Pulock	28	1	2	2
2	Jaccob Slavin		28	1	2	2
3			25	1	2	2
4	Jaccob Slavin	Josh Morrissey	19	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Mark Stone	Rickard Rakell		50	1	2	2
2	Stefan Noesen	Mason McTavish	Travis Boyd	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Josh Morrissey		50	1	2	2
2			50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Mark Stone		50	1	2	2
2	Rickard Rakell	Travis Boyd	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Josh Morrissey		50	1	2	2
2			50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Mark Stone	50	1	2	2	Josh Morrissey		50	1	2	2
2		50	1	2	2			50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Mark Stone		50	1	2	2
2	Rickard Rakell	Stefan Noesen	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Josh Morrissey		50	1	2	2
2			50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Mark Stone	Rickard Rakell		Josh Morrissey	Ryan Pulock

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Mark Stone	Rickard Rakell		Josh Morrissey	Ryan Pulock

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Mark Stone, Travis Boyd, Mason McTavish	, Travis Boyd	Mason McTavish

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
, , Josh Morrissey		, Josh Morrissey

Tirs de pénalité
Mark Stone, , Rickard Rakell, Travis Boyd, Stefan Noesen

Gardien
#1 : Juuse Saros, #2 : Dustin Tokarski

Lignes d’attaque personnalisées en prolongation
Mark Stone, , Rickard Rakell, Elias Pettersson, Stefan Noesen, Mason McTavish, Mason McTavish, , Travis Boyd, Andrew Cogliano, Sean Monahan

Lignes de défense personnalisées en prolongation
Josh Morrissey, Ryan Pulock, , ,

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

	Total												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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
0	0	N/A	0	0	0	0	0	0	0	0	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
0	0	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
0	0	0%	0	0	0%	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
0	0	0	0	0	0	0	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
0	0	0%	0	0	0%	0	0	0%

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
0	0	0	0	0	0

Derniers matchs 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	RI	Lien

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6250	5250	2600	4200	1200
Prix des billets	90	51	27	14	192
Assistance	0%	0%	0%	0%	0%
Attendance PCT	0%	0%	0%	0%	0%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
41	0 - 0%	0$	0$	19500	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	51,519,825$	54,851,625$	1,000,000$0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	0$	20	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	0$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	29,228,223$	29,228,223$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	82,000,000$	82,000,000$	-52,000,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Stefan Noesen	AGE:31	PO:0	OV:0
Mark Stone	AGE:32	PO:0	OV:0
Mikhail Maltsev	AGE:26	PO:0	OV:0
Vasily Podkolzin	AGE:23	PO:0	OV:0
Rickard Rakell	AGE:31	PO:0	OV:0
Matvei Michkov (R)	AGE:20	PO:0	OV:0
Kalan Lind (R)	AGE:19	PO:0	OV:0
Martin Misiak (R)	AGE:20	PO:0	OV:0
Easton Cowan (R)	AGE:19	PO:0	OV:0

Travis Boyd	AGE:31	PO:0	OV:0
Andrew Cogliano	AGE:37	PO:0	OV:0
Gage Goncalves	AGE:23	PO:0	OV:0
Danila Klimovich	AGE:21	PO:0	OV:0
Isac Lundestrom	AGE:25	PO:0	OV:0
Sean Monahan	AGE:30	PO:0	OV:0
Mikhail Maltsev	AGE:26	PO:0	OV:0
Justin Hryckowian	AGE:23	PO:0	OV:0
Yakov Trenin	AGE:27	PO:0	OV:0
Mason McTavish	AGE:21	PO:0	OV:0
Zack Ostapchuk	AGE:21	PO:0	OV:0
Brendan Brisson	AGE:23	PO:0	OV:0
Elias Pettersson	AGE:26	PO:0	OV:0
Samuel Helenius	AGE:22	PO:0	OV:0
Joe Miller (R)	AGE:22	PO:0	OV:0
Easton Cowan (R)	AGE:19	PO:0	OV:0
Denver Barkey (R)	AGE:19	PO:0	OV:0

Stefan Noesen	AGE:31	PO:0	OV:0
Mark Stone	AGE:32	PO:0	OV:0
Mikhail Maltsev	AGE:26	PO:0	OV:0
Vasily Podkolzin	AGE:23	PO:0	OV:0
Rickard Rakell	AGE:31	PO:0	OV:0
Matvei Michkov (R)	AGE:20	PO:0	OV:0
Kalan Lind (R)	AGE:19	PO:0	OV:0
Martin Misiak (R)	AGE:20	PO:0	OV:0
Easton Cowan (R)	AGE:19	PO:0	OV:0

Défense #1

Défense #2

Gardien

Ryan Pulock	AGE:30	PO:0	OV:0
Yan Kuznetsov	AGE:22	PO:0	OV:0
Mikko Kokkonen	AGE:23	PO:0	OV:0
Alexander Alexeyev	AGE:25	PO:0	OV:0
Calen Addison	AGE:24	PO:0	OV:0
Spencer Stastney	AGE:24	PO:0	OV:0

Parker Wotherspoon	AGE:27	PO:0	OV:0
Josh Morrissey	AGE:29	PO:0	OV:0
Jaccob Slavin	AGE:30	PO:0	OV:0
Ryker Evans	AGE:23	PO:0	OV:0
Dmitry Kuzmin	AGE:21	PO:0	OV:0

Juuse Saros	AGE:29	PO:0	OV:0
Matthew Murray	AGE:26	PO:0	OV:0
Dustin Tokarski	AGE:35	PO:0	OV:0
Leevi Merilainen	AGE:22	PO:0	OV:0
Colton Point	AGE:26	PO:0	OV:0
Jakub Malek (R)	AGE:22	PO:0	OV:0
Vyacheslav Buteyets (R)	AGE:22	PO:0	OV:0

Espoirs

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Information	Date de la Dernière Transaction	Lien
Adam Jiricek	Mammoth	0	0
Anton Olsson	Mammoth	0	0
Ben Danford	Mammoth	0	0
Blake Montgomery	Mammoth	0	0
Carter Yakemchuk	Mammoth	0	0
Colin Ralph	Mammoth	0	0
Daniil Orlov	Mammoth	0	0
Danila Yurov	Mammoth	0	0
Fyodor Avramov	Mammoth	0	0
Herman Traff	Mammoth	0	0
Jack Sparkes	Mammoth	0	0
Jonathan Myrenberg	Mammoth	0	0
Justin Kipkie	Mammoth	0	0
Nathaniel Day	Mammoth	0	0
Niilopekka Muhonen	Mammoth	0	0
Nikolai Makarov	Mammoth	0	0
Prokhor Poltapov	Mammoth	0	0
Will Skahan	Mammoth	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2024	UTA BUF	UTA PIT	UTA	UTA	UTA	UTA	UTA
2025	UTA PIT	UTA	UTA BUF	UTA	UTA	UTA	UTA
2026	UTA	UTA	UTA	UTA	UTA	UTA	UTA
2027	UTA	UTA	UTA	UTA	UTA	UTA	UTA
2028	UTA	UTA	UTA	UTA	UTA	UTA	UTA
Choix au repêchage conditionnel

La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.

Mammoth Historique de transactions

[15.05.2025 11:41:13] - Team Name Change : Hockey Club changed name to Mammoth
[29.01.2025 13:19:22] - Jakub Galvas was released.
[29.01.2025 13:19:22] - Hockey Club paid $0 to release Jakub Galvas.
[29.01.2025 13:19:17] - Jonathan Aspirot was released.
[29.01.2025 13:19:17] - Hockey Club paid $0 to release Jonathan Aspirot.
[29.01.2025 13:19:06] - Vladislav Firstov was released.
[29.01.2025 13:19:06] - Hockey Club paid $0 to release Vladislav Firstov.
[29.01.2025 13:18:59] - Austin Wagner was released.
[29.01.2025 13:18:59] - Hockey Club paid $0 to release Austin Wagner.
[08.09.2024 18:17:39] - Fyodor Avramov has been added to Hockey Club.
[08.09.2024 18:17:39] - Niilopekka Muhonen has been added to Hockey Club.
[08.09.2024 18:17:39] - Blake Montgomery has been added to Hockey Club.
[08.09.2024 18:17:39] - Herman Traff has been added to Hockey Club.
[08.09.2024 18:17:39] - Will Skahan has been added to Hockey Club.
[08.09.2024 18:17:39] - Colin Ralph has been added to Hockey Club.
[08.09.2024 18:17:39] - Ben Danford has been added to Hockey Club.
[08.09.2024 18:17:39] - Adam Jiricek has been added to Hockey Club.
[08.09.2024 18:17:39] - Carter Yakemchuk has been added to Hockey Club.
[25.08.2024 15:40:41] - Team Name Change : Coyotes changed name to Hockey Club
[25.08.2024 12:49:49] - Lucas Johansen was released.
[25.08.2024 12:49:49] - Coyotes paid € 0 to release Lucas Johansen.
[25.08.2024 12:49:45] - Marcus Bjork was released.
[25.08.2024 12:49:45] - Coyotes paid € 0 to release Marcus Bjork.
[25.08.2024 12:49:38] - Lucas Elvenes was released.
[25.08.2024 12:49:38] - Coyotes paid € 0 to release Lucas Elvenes.
[25.08.2024 12:49:34] - Jonathan Dahlen was released.
[25.08.2024 12:49:34] - Coyotes paid € 0 to release Jonathan Dahlen.
[25.08.2024 12:49:30] - Logan Brown was released.
[25.08.2024 12:49:30] - Coyotes paid € 0 to release Logan Brown.
[25.08.2024 12:49:20] - Filip Barklund has been deleted from Coyotes.
[25.08.2024 12:49:13] - Cooper Moore has been deleted from Coyotes.
[25.08.2024 12:49:10] - Dustyn McFaul has been deleted from Coyotes.
[25.08.2024 12:48:53] - Alexander Ljungkrantz has been deleted from Coyotes.
[25.08.2024 12:48:46] - Team Name Change : Hockey Club changed name to Coyotes
[25.08.2024 12:48:26] - Team Name Change : Coyotes changed name to Hockey Club
[25.08.2024 12:39:21] - Easton Cowan was added to Coyotes.
[25.08.2024 12:39:18] - Denver Barkey was added to Coyotes.
[25.08.2024 12:39:12] - Vyacheslav Buteyets was added to Coyotes.
[25.08.2024 12:39:08] - Martin Misiak was added to Coyotes.
[25.08.2024 12:39:05] - Kalan Lind was added to Coyotes.
[25.08.2024 12:39:03] - Jakub Malek was added to Coyotes.
[25.08.2024 12:38:58] - Joe Miller was added to Coyotes.
[25.08.2024 12:10:49] - Matvei Michkov was added to Coyotes.

Pas de blessure ou de suspension.

Mammoth Leaders statistiques des joueurs (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Mammoth Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Mammoth Statistiques de l'Équipe de Carrière

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	Total											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

Mammoth Leaders statistiques des joueurs (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Mammoth Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Mammoth
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% DG: NFHL \| Morale : 99 \| Moyenne d’équipe : N/A