Saints
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	Markus
	Entraîneur	Ryan Huska
	Division	Pacific Division
	Conférence	Western Conference
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Scotiabank Saddledome
	Capacité	19,500
	Assistance
	Billets de saison	7,800
Informations de la formation
	Équipe Pro	19
	Équipe Mineure	36
	Limite contact	55 / 65
	Espoirs	23
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	19
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	74,207,015$
	Compte bancaire projeté	74,207,015$

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	Gustav Nyquist	X				100.00	64	50	95	91	68	84	94	83	61	85	75	70	72	67	75	0	99	0	0	35	1	3,550,000$
2	Nick Suzuki	X				100.00	68	50	91	89	79	88	95	83	91	81	80	74	85	55	62	0	99	0	0	25	1	4,600,000$
3	Frank Vatrano		X	X		100.00	75	52	85	88	74	85	95	79	61	71	82	83	65	55	63	0	99	0	0	30	2	3,650,000$
4	Mark Scheifele	X				100.00	68	56	88	91	79	87	92	84	87	85	77	69	66	64	73	0	99	0	0	31	2	6,407,100$
5	Travis Konecny		X	X		100.00	71	52	87	90	72	86	93	82	64	78	81	79	67	60	63	0	99	0	0	27	3	6,350,000$
6	Erik Haula		X	X		100.00	71	50	88	84	72	83	93	75	85	71	72	81	65	62	67	0	99	0	0	33	1	3,175,000$
7	Roope Hintz	X				100.00	64	50	93	89	80	84	94	81	79	77	79	73	68	62	67	0	99	0	0	28	4	5,350,000$
8	Zach Whitecloud				X	100.00	76	50	90	79	82	84	88	74	25	69	66	80	65	56	67	0	99	0	0	28	2	2,850,000$
9	Shea Theodore				X	100.00	61	50	94	95	75	89	84	90	25	93	73	71	73	65	65	0	99	0	0	29	3	5,500,000$
10	Rasmus Dahlin				X	100.00	79	50	87	93	78	92	94	87	25	81	80	80	65	53	61	0	99	0	0	24	1	4,750,000$
11	Ian Cole				X	100.00	70	54	88	72	84	85	93	70	25	66	65	83	65	68	72	0	99	0	0	35	1	1,700,000$
Rayé
1	Carl Grundstrom		X	X		100.00	78	50	93	75	75	77	85	71	61	65	70	72	70	57	62	0	99	0	0	27	1	1,250,000$
2	Gabriel Vilardi	X				100.00	62	50	93	88	82	84	84	80	64	71	82	67	65	55	62	0	99	0	0	25	1	3,600,000$
3	Jakob Pelletier		X	X		100.00	67	50	94	76	64	76	79	71	62	68	67	67	65	54	62	0	99	0	0	23	2	1,000,000$
4	Mason Shaw	X				100.00	72	62	78	69	69	75	78	70	65	66	66	69	65	60	65	0	99	0	0	26	1	950,000$
5	Conor Timmins				X	100.00	72	50	88	86	78	83	77	78	25	76	67	72	65	55	62	0	99	0	0	26	1	1,750,000$
6	Rasmus Andersson				X	100.00	65	52	89	88	76	90	93	82	25	77	73	81	66	64	68	0	99	0	0	28	3	5,500,000$
7	Jacob Bernard-Docker				X	100.00	68	52	92	77	72	82	92	72	25	67	68	78	65	51	59	0	99	0	0	24	2	1,200,000$
8	Vladislav Gavrikov				X	100.00	67	50	92	83	83	87	93	76	25	70	70	80	65	60	67	0	99	0	0	29	1	3,850,000$
Équipe Mineure
1	William Eklund		X	X		100.00	64	50	92	87	69	85	94	76	64	74	72	72	71	40	55	0	99	0	0	22	1	1,500,000$
2	Anthony Romano	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	40	55	0	51	0	0	24	1	700,000$
3	Joakim Kemell		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	40	55	0	84	0	0	20	2	1,500,000$
4	Jack Matier				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	42	57	0	85	0	0	21	1	825,000$
5	Henry Thrun				X	100.00	65	50	92	80	73	86	91	73	25	68	68	77	66	40	55	0	99	0	0	23	1	975,000$
6	Tristan Luneau				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	40	55	0	46	0	0	20	2	1,250,000$
7	Mitchell Chaffee		X	X		100.00	84	50	94	75	73	78	90	71	61	66	69	74	65	53	64	0	99	0	0	26	1	1,250,000$
8	Owen Sillinger	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	51	61	0	67	0	0	27	1	752,456$
9	Mathieu De St.Phalle	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	47	61	0	60	0	0	24	1	716,625$
10	Gabriel Fortier	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	54	62	0	86	0	0	24	2	1,378,125$
11	Mavrik Bourque	X				100.00	62	50	91	73	72	77	93	65	71	67	64	67	65	50	58	0	99	0	0	22	2	1,890,000$
12	Tristen Robins		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	53	57	0	85	0	0	23	1	1,312,500$
13	Sampo Ranta		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	49	57	0	84	0	0	24	1	1,023,750$
14	Travis Treloar	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	45	59	0	28	0	0	23	1	682,500$
15	Marian Studenic		X	X		100.00	66	50	93	70	72	75	91	63	61	65	62	69	65	58	63	0	99	0	0	26	1	752,456$
16	Jakub Konecny	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	42	57	0	22	0	0	22	1	650,000$
17	Matthew Seminoff		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	40	55	0	52	0	0	21	2	700,000$
18	Matteo Giampa		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	0	21	2	650,000$
19	Jordan Gustafson (R)	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	1	20	3	975,000$
20	Gavin Brindley (R)		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	1	20	3	1,250,000$
21	Adam Fantilli (R)	X				100.00	71	50	92	86	74	82	84	76	71	72	73	69	65	1	1	0	99	0	1	20	3	1,500,000$
22	Brandon Scanlin				X	100.00	62	50	89	64	83	77	90	61	25	61	61	68	65	49	61	0	99	0	0	25	1	744,188$
23	Ryan Siedem				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	46	58	0	72	0	0	23	1	840,000$
24	Aleksi Heimosalmi				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	42	57	0	25	0	0	21	1	1,250,000$
25	Ronan Seeley				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	42	57	0	22	0	0	22	1	750,000$
26	Semyon Chystyakov				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	42	57	0	34	0	0	23	1	750,000$
27	Matias Rajaniemi (R)				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	1	22	2	700,000$
28	Isaiah George (R)				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	1	20	3	975,000$
29	Andrew Gibson (R)				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	1	19	3	1,250,000$
30	Jacob Truscott (R)				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	1	22	2	825,000$

	MOYENNE D’ÉQUIPE					100.00	62	53	74	69	66	70	73	66	54	64	64	65	61	44	52	0	71	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
Rayé
Équipe Mineure
1	Joey Daccord	100.00	78	86	85	81	80	82	83	82	87	84	87	55	64	0	99	0	0	28	1	1,800,000$
2	Magnus Chrona	100.00	55	55	55	55	55	55	55	55	55	55	55	47	56	0	47	0	0	24	2	787,500$
3	Jesper Myrenberg	100.00	55	55	55	55	55	55	55	55	55	55	55	49	56	0	56	0	0	24	1	682,500$
4	Kari Piiroinen	100.00	55	55	55	55	55	55	55	55	55	55	55	46	59	0	51	0	0	23	1	682,500$
5	Ilya Nabokov	100.00	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	0	21	2	650,000$
6	Semyon Vyazovoi (R)	100.00	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	1	21	3	700,000$

	MOYENNE D’ÉQUIPE	100.00	59	60	60	59	59	60	60	60	60	60	60	33	40	0	43	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Ryan Huska	79	84	82	88	64	69	1	CAN	49	2	1,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

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

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

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	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
Carl Grundstrom	Flames	LW/RW	27	1997-12-01	SWE	No	200 Lbs	6 ft0	No	No	N/A	No	No	1	False	False	Pro & Farm	1,250,000$	1,250,000$	1,250,000$	1,250,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Conor Timmins	Flames	D	26	1998-09-18	CAN	No	206 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	1,750,000$	1,750,000$	1,750,000$	1,750,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Erik Haula	Flames	LW/RW	33	1991-03-23	FIN	No	191 Lbs	5 ft11	No	No	N/A	No	No	1	False	False	Pro & Farm	3,175,000$	3,175,000$	3,175,000$	3,175,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Frank Vatrano	Flames	LW/RW	30	1994-03-14	USA	No	197 Lbs	5 ft11	No	No	N/A	No	No	2	False	False	Pro & Farm	3,650,000$	3,650,000$	3,650,000$	3,650,000$	No	3,650,000$	-	-	-	-	-	-	-	-	3,650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Gabriel Vilardi	Flames	C	25	1999-08-16	CAN	No	216 Lbs	6 ft3	No	No	N/A	No	No	1	False	False	Pro & Farm	3,600,000$	3,600,000$	3,600,000$	3,600,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Gustav Nyquist	Flames	C	35	1989-09-01	SWE	No	180 Lbs	5 ft11	No	No	N/A	No	No	1	False	False	Pro & Farm	3,550,000$	3,550,000$	3,550,000$	3,550,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ian Cole	Flames	D	35	1989-02-21	USA	No	225 Lbs	6 ft1	No	No	N/A	No	No	1	False	False	Pro & Farm	1,700,000$	1,700,000$	1,700,000$	1,700,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jacob Bernard-Docker	Flames	D	24	2000-06-30	CAN	No	190 Lbs	6 ft0	No	No	N/A	No	No	2	False	False	Pro & Farm	1,200,000$	1,200,000$	1,200,000$	1,200,000$	No	1,200,000$	-	-	-	-	-	-	-	-	1,200,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jakob Pelletier	Flames	LW/RW	23	2001-03-07	CAN	No	170 Lbs	5 ft9	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	-	-	-	-	-	-	-	-
Mark Scheifele	Flames	C	31	1993-03-15	CAN	No	207 Lbs	6 ft3	No	No	N/A	No	No	2	False	False	Pro & Farm	6,407,100$	6,407,100$	7,627,500$	7,627,500$	No	4,805,325$	-	-	-	-	-	-	-	-	7,627,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Mason Shaw	Flames	C	26	1998-11-03	CAN	No	184 Lbs	5 ft10	No	No	N/A	No	No	1	False	False	Pro & Farm	950,000$	950,000$	950,000$	950,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Nick Suzuki	Flames	C	25	1999-08-10	CAN	No	212 Lbs	5 ft11	No	No	N/A	No	No	1	False	False	Pro & Farm	4,600,000$	4,600,000$	4,600,000$	4,600,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Rasmus Andersson	Flames	D	28	1996-10-27	SWE	No	202 Lbs	6 ft1	No	No	N/A	No	No	3	False	False	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	5,500,000$	No	5,500,000$	5,500,000$	-	-	-	-	-	-	-	5,500,000$	5,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Rasmus Dahlin	Flames	D	24	2000-04-13	SWE	No	204 Lbs	6 ft3	No	No	N/A	No	No	1	False	False	Pro & Farm	4,750,000$	4,750,000$	4,750,000$	4,750,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Roope Hintz	Flames	C	28	1996-11-17	FIN	No	212 Lbs	6 ft3	No	No	N/A	No	No	4	False	False	Pro & Farm	5,350,000$	5,350,000$	5,350,000$	5,350,000$	No	5,350,000$	5,350,000$	5,350,000$	-	-	-	-	-	-	5,350,000$	5,350,000$	5,350,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Shea Theodore	Flames	D	29	1995-08-03	CAN	No	197 Lbs	6 ft2	No	No	N/A	No	No	3	False	False	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	5,500,000$	No	5,500,000$	5,500,000$	-	-	-	-	-	-	-	5,500,000$	5,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Travis Konecny	Flames	LW/RW	27	1997-03-11	CAN	No	192 Lbs	5 ft10	No	No	N/A	No	No	3	False	False	Pro & Farm	6,350,000$	6,350,000$	6,350,000$	6,350,000$	No	6,350,000$	6,350,000$	-	-	-	-	-	-	-	6,350,000$	6,350,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Vladislav Gavrikov	Flames	D	29	1995-11-21	RUS	No	220 Lbs	6 ft3	No	No	N/A	No	No	1	False	False	Pro & Farm	3,850,000$	3,850,000$	3,850,000$	3,850,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Zach Whitecloud	Flames	D	28	1996-11-28	CAN	No	218 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
19	28.05	201 Lbs	6 ft1	1.74	3,525,374$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
66,982,100$	36,205,325$	22,700,000$	5,350,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Travis Konecny	Nick Suzuki	Roope Hintz	31	0	2	3
2		Mark Scheifele	Frank Vatrano	29	0	2	3
3		Erik Haula	Gustav Nyquist	22	1	3	1
4				18	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Shea Theodore	Rasmus Dahlin	38	1	3	1
2	Ian Cole		33	1	3	1
3		Zach Whitecloud	29	1	3	1
4	Shea Theodore	Rasmus Dahlin	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Roope Hintz	Nick Suzuki		50	1	0	4
2	Travis Konecny	Mark Scheifele	Frank Vatrano	50	1	0	4

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Rasmus Dahlin		50	0	1	4
2		Shea Theodore	50	0	1	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nick Suzuki		55	0	4	1
2	Erik Haula	Gustav Nyquist	45	0	4	1

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Rasmus Dahlin	Ian Cole	50	1	4	0
2		Zach Whitecloud	50	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Nick Suzuki	50	0	5	0	Rasmus Dahlin	Ian Cole	50	1	4	0
2	Erik Haula	50	0	5	0		Zach Whitecloud	50	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Roope Hintz		50	1	2	2
2		Frank Vatrano	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Shea Theodore	50	1	2	2
2	Ian Cole	Zach Whitecloud	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Roope Hintz	Mark Scheifele	Travis Konecny	Shea Theodore	Rasmus Dahlin

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Erik Haula	Nick Suzuki		Ian Cole	Zach Whitecloud

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
, Travis Konecny, Gustav Nyquist	, Erik Haula	Gustav Nyquist

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Rasmus Dahlin, Shea Theodore, Zach Whitecloud	Zach Whitecloud	Zach Whitecloud, Shea Theodore

Tirs de pénalité
Nick Suzuki, , Roope Hintz, Shea Theodore, Gustav Nyquist

Gardien
#1 : , #2 :

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

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	85	50	26	14	188
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$	66,982,100$	68,202,500$	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$	19	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$	74,207,015$	74,207,015$

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

Mitchell Chaffee	AGE:26	PO:0	OV:0
Owen Sillinger	AGE:27	PO:0	OV:0
Mathieu De St.Phalle	AGE:24	PO:0	OV:0
Carl Grundstrom	AGE:27	PO:0	OV:0
Gabriel Fortier	AGE:24	PO:0	OV:0
Jakob Pelletier	AGE:23	PO:0	OV:0
Frank Vatrano	AGE:30	PO:0	OV:0
Travis Konecny	AGE:27	PO:0	OV:0
Erik Haula	AGE:33	PO:0	OV:0
Tristen Robins	AGE:23	PO:0	OV:0
Sampo Ranta	AGE:24	PO:0	OV:0
Marian Studenic	AGE:26	PO:0	OV:0
William Eklund	AGE:22	PO:0	OV:0
Anthony Romano	AGE:24	PO:0	OV:0
Matthew Seminoff	AGE:21	PO:0	OV:0
Joakim Kemell	AGE:20	PO:0	OV:0
Matteo Giampa	AGE:21	PO:0	OV:0
Gavin Brindley (R)	AGE:20	PO:0	OV:0

Gustav Nyquist	AGE:35	PO:0	OV:0
Owen Sillinger	AGE:27	PO:0	OV:0
Mathieu De St.Phalle	AGE:24	PO:0	OV:0
Gabriel Fortier	AGE:24	PO:0	OV:0
Gabriel Vilardi	AGE:25	PO:0	OV:0
Mason Shaw	AGE:26	PO:0	OV:0
Nick Suzuki	AGE:25	PO:0	OV:0
Mark Scheifele	AGE:31	PO:0	OV:0
Mavrik Bourque	AGE:22	PO:0	OV:0
Roope Hintz	AGE:28	PO:0	OV:0
Travis Treloar	AGE:23	PO:0	OV:0
Jakub Konecny	AGE:22	PO:0	OV:0
Anthony Romano	AGE:24	PO:0	OV:0
Jordan Gustafson (R)	AGE:20	PO:0	OV:0
Adam Fantilli (R)	AGE:20	PO:0	OV:0

Mitchell Chaffee	AGE:26	PO:0	OV:0
Owen Sillinger	AGE:27	PO:0	OV:0
Mathieu De St.Phalle	AGE:24	PO:0	OV:0
Carl Grundstrom	AGE:27	PO:0	OV:0
Gabriel Fortier	AGE:24	PO:0	OV:0
Jakob Pelletier	AGE:23	PO:0	OV:0
Frank Vatrano	AGE:30	PO:0	OV:0
Travis Konecny	AGE:27	PO:0	OV:0
Erik Haula	AGE:33	PO:0	OV:0
Tristen Robins	AGE:23	PO:0	OV:0
Sampo Ranta	AGE:24	PO:0	OV:0
Marian Studenic	AGE:26	PO:0	OV:0
William Eklund	AGE:22	PO:0	OV:0
Anthony Romano	AGE:24	PO:0	OV:0
Matthew Seminoff	AGE:21	PO:0	OV:0
Joakim Kemell	AGE:20	PO:0	OV:0
Matteo Giampa	AGE:21	PO:0	OV:0
Gavin Brindley (R)	AGE:20	PO:0	OV:0

Défense #1

Défense #2

Gardien

Brandon Scanlin	AGE:25	PO:0	OV:0
Zach Whitecloud	AGE:28	PO:0	OV:0
Shea Theodore	AGE:29	PO:0	OV:0
Rasmus Dahlin	AGE:24	PO:0	OV:0
Conor Timmins	AGE:26	PO:0	OV:0
Rasmus Andersson	AGE:28	PO:0	OV:0
Jacob Bernard-Docker	AGE:24	PO:0	OV:0
Ian Cole	AGE:35	PO:0	OV:0
Ryan Siedem	AGE:23	PO:0	OV:0
Vladislav Gavrikov	AGE:29	PO:0	OV:0

Aleksi Heimosalmi	AGE:21	PO:0	OV:0
Jack Matier	AGE:21	PO:0	OV:0
Ronan Seeley	AGE:22	PO:0	OV:0
Semyon Chystyakov	AGE:23	PO:0	OV:0
Henry Thrun	AGE:23	PO:0	OV:0
Tristan Luneau	AGE:20	PO:0	OV:0
Matias Rajaniemi (R)	AGE:22	PO:0	OV:0
Isaiah George (R)	AGE:20	PO:0	OV:0
Andrew Gibson (R)	AGE:19	PO:0	OV:0
Jacob Truscott (R)	AGE:22	PO:0	OV:0

Magnus Chrona	AGE:24	PO:0	OV:0
Jesper Myrenberg	AGE:24	PO:0	OV:0
Joey Daccord	AGE:28	PO:0	OV:0
Kari Piiroinen	AGE:23	PO:0	OV:0
Ilya Nabokov	AGE:21	PO:0	OV:0
Semyon Vyazovoi (R)	AGE:21	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
Alexander Hellnemo	Flames	0	0
Aram Minnetian	Flames	0	0
Arvid Costmar	Flames	0	0
Axel Bergkvist	Flames	0	0
Christian Humphreys	Flames	0	0
Colton Roberts	Flames	0	0
Darels Uljanskis	Flames	0	0
Isak Walther	Flames	0	0
Jake Richard	Flames	0	0
Jakub Fibigr	Flames	0	0
Jayden Perron	Flames	0	0
Jonathan Tychonick	Flames	0	0
Justin Poirier	Flames	0	0
Kaden Hammell	Flames	0	0
Leevi Aaltonen	Flames	0	0
Lenni Killinen	Flames	0	0
Liam Greentree	Flames	0	0
Lucas Forsell	Flames	0	0
Ludvig Jansson	Flames	0	0
Maxim Masse	Flames	0	0
Patrick Moynihan	Flames	0	0
Stephen Peck	Flames	0	0
Zachary Schulz	Flames	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2024	CGY	CGY	CGY	CGY	CGY	CGY	CGY
2025	CGY	CGY	CGY	CGY	CGY	CGY	CGY
2026	CGY	CGY	CGY	CGY	CGY	CGY	CGY
2027	CGY	CGY	CGY	CGY	CGY	CGY	CGY
2028	CGY	CGY	CGY	CGY	CGY	CGY	CGY
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.

Flames Historique de transactions

[09.12.2024 11:02:03] - Flames hired Ryan Huska for $1,000,000 for 2 year(s).
[08.09.2024 18:17:39] - Darels Uljanskis has been added to Flames.
[08.09.2024 18:17:39] - Jakub Fibigr has been added to Flames.
[08.09.2024 18:17:39] - Christian Humphreys has been added to Flames.
[08.09.2024 18:17:39] - Colton Roberts has been added to Flames.
[08.09.2024 18:17:39] - Justin Poirier has been added to Flames.
[08.09.2024 18:17:39] - Maxim Masse has been added to Flames.
[08.09.2024 18:17:39] - Liam Greentree has been added to Flames.
[23.08.2024 08:00:45] - Semyon Vyazovoi has been deleted from Flames.
[23.08.2024 08:00:42] - Jacob Truscott has been deleted from Flames.
[23.08.2024 07:59:53] - Adam Fantilli has been deleted from Flames.
[23.08.2024 07:59:50] - Andrew Gibson has been deleted from Flames.
[23.08.2024 07:59:45] - Gavin Brindley has been deleted from Flames.
[23.08.2024 07:59:42] - Isaiah George has been deleted from Flames.
[23.08.2024 07:59:38] - Jordan Gustafson has been deleted from Flames.
[23.08.2024 07:59:33] - Matias Rajaniemi has been deleted from Flames.

[15.05.2025 08:37:21] Saints roster errors : Not enough Centers available in Farm Team! 1 Dressed. 3 Required. Not enough Forward available in Farm Team! 3 Dressed. 10 Required. Not enough Defenseman available in Farm Team! 3 Dressed. 6 Required. Not enough Goalie available in Farm Team! 1 Dressed. 2 Required. Not enough Players available in Farm Team! 6 Dressed. 18 Required. Not enough Players available in Pro Team! 19 Dressed. 20 Required. Some errors will be automatically fixed.
[15.05.2025 08:37:21] Flames roster errors : Not enough Forward available in Pro Team! 7 Dressed. 10 Required. Not enough Defenseman available in Pro Team! 4 Dressed. 6 Required. Not enough Goalie available in Pro Team! 0 Dressed. 2 Required. Not enough Players available in Pro Team! 11 Dressed. 18 Required. Some errors will be automatically fixed.
[15.05.2025 08:36:32] 2 was add to 0 goalies LD who matched 'Status' and 'Is in Flames' condition.
[15.05.2025 08:36:28] 2 was add to 0 goalies LD who matched 'Status' and 'Is in Flames' condition.
[15.05.2025 08:35:57] 2 was add to 8 players EX who matched 'Status' and 'Is in Flames' condition.
[15.05.2025 08:35:54] 2 was add to 11 players EX who matched 'Status' and 'Is in Flames' condition.
[15.05.2025 08:35:42] 2 was add to 8 players LD who matched 'Status' and 'Is in Flames' condition.
[15.05.2025 08:35:31] 2 was add to 11 players LD who matched 'Status' and 'Is in Flames' condition.

Pas de blessure ou de suspension.

Flames 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

Flames 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

Flames 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

Flames 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

Flames 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

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