Stars
Domicile
Formation
Statistiques joueurs
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance

Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	Michael
	Entraîneur	Glen Gulutzan
	Division	Central Division
	Conférence	Western Conference
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Capacité	8,000
	Assistance
	Billets de saison	800
Informations de la formation
	Équipe Pro	38
	Équipe Mineure	18
	Limite contact	56 / 65
	Espoirs	17

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	Felix Trudeau		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	58	0	80	0	0	22	3	700,000$
2	Lucas Wahlin		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	48	59	0	81	0	0	23	2	675,000$
3	Aidan Thompson (R)	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	55	0	61	0	0	22	2	825,000$
4	Cross Hanas	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	43	58	0	74	0	0	22	1	1,312,500$
5	Justin Gill (R)	X				100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	52	55	0	83	0	0	21	2	750,000$
6	Lucas Ellinas (R)	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	55	0	59	0	0	18	3	825,000$
7	Lucas Pettersson (R)	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	55	0	68	0	0	18	3	1,500,000$
8	Jett Luchanko (R)	X				100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	55	0	88	0	0	18	3	1,500,000$
9	Samuel Fagemo		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	53	61	0	75	0	0	24	2	1,378,125$
10	Riley Kidney	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	43	58	0	56	0	0	21	2	1,023,750$
11	Joshua Lopina	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	43	58	0	57	0	0	23	1	866,250$
12	Landon Sim	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	48	55	0	72	0	1	20	2	700,000$
13	Jonathan Aspirot		X	X	X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	57	63	0	75	0	0	25	3	675,000$
14	Hayes Hundley				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	44	57	0	79	0	0	19	3	650,000$
15	Adam Ginning				X	100.00	62	50	85	66	75	79	92	61	25	63	60	70	65	41	56	0	67	0	0	24	1	1,312,500$
16	William Villeneuve				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	43	58	0	70	0	0	22	2	1,023,750$
17	Daniil Miromanov				X	100.00	64	50	93	78	79	84	83	73	25	68	67	71	65	56	60	0	72	0	0	27	1	655,000$
18	Charle-Edouard DAstous				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	40	55	0	70	0	0	26	2	650,000$
Rayé
1	Ryden Evers	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	42	56	0	60	0	0	19	3	700,000$
2	Avery Hayes	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	57	61	0	55	0	0	22	3	875,000$
3	Owen Michaels	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	58	0	71	0	0	22	3	975,000$
4	Philippe Daoust	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	43	58	0	45	0	0	23	2	735,000$
5	Wojciech Stachowiak		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	40	55	0	53	0	0	25	1	650,000$
6	Oskar Olausson		X	X		100.00	60	50	91	67	69	75	90	62	61	62	62	68	65	44	55	0	79	0	0	22	3	650,000$
7	Matthew Maggio		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	41	56	0	28	0	0	22	1	750,000$
8	Amadeus Lombardi	X				100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	41	56	0	20	0	0	21	1	825,000$
9	Alexis Gendron	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	41	56	0	20	0	0	21	1	650,000$
10	Coulson Pitre	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	40	55	0	20	0	1	20	2	1,250,000$
11	Tobias Bjornfot				X	100.00	61	50	91	68	75	80	90	66	25	68	65	71	65	48	58	0	53	0	0	23	2	716,625$
12	Noah Beck				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	40	55	0	53	0	0	23	2	650,000$
13	Artur Cholach				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	41	56	0	27	0	0	21	1	650,000$
14	Caleb MacDonald				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	40	55	0	20	0	0	22	2	650,000$
15	Caden Price				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	40	55	0	23	0	1	19	2	975,000$

	MOYENNE D’ÉQUIPE					100.00	60	59	64	61	62	71	72	61	57	61	60	61	61	45	57	0	58	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	Ilya Samsonov	100.00	74	80	76	84	75	68	75	69	75	75	73	60	68	0	72	0	0	27	5	3,200,000$
2	Jacob Fowler (R)	100.00	60	70	70	60	60	60	60	60	60	60	60	44	55	0	80	0	0	20	3	1,250,000$
Rayé
1	Calle Clang	100.00	60	70	70	60	60	60	60	60	60	60	60	48	59	0	58	0	0	22	2	1,312,500$
2	Garin Bjorklund	100.00	60	70	70	60	60	60	60	60	60	60	60	50	57	0	59	0	0	22	2	735,000$
3	Isaac Poulter	100.00	60	70	70	60	60	60	60	60	60	60	60	41	56	0	59	0	0	25	1	682,500$

	MOYENNE D’ÉQUIPE	100.00	63	72	71	65	63	62	63	62	63	63	63	49	59	0	66	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Glen Gulutzan	61	77	77	82	75	76	1	CAN	55	1	600,000$

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	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du 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
Adam Ginning	Blood Miners (DAL)	D	24	2000-01-13	SWE	No	196 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	1,312,500$	656,250$	131,250$	65,625$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Aidan Thompson	Blood Miners (DAL)	C/LW/RW	22	2002-02-18	USA	Yes	181 Lbs	5 ft9	No	No	Prospect		No	No	2	2025-08-20	False	False	Pro & Farm	825,000$	412,500$	82,500$	41,250$	No	825,000$	-	-	-	-	-	-	-	-	825,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Alexis Gendron	Blood Miners (DAL)	C/LW/RW	21	2003-12-30	CAN	No	178 Lbs	6 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	650,000$	325,000$	65,000$	32,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Amadeus Lombardi	Blood Miners (DAL)	C	21	2003-06-05	CAN	No	178 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	825,000$	412,500$	82,500$	41,250$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Artur Cholach	Blood Miners (DAL)	D	21	2003-06-06	UKR	No	193 Lbs	7 ft7	No	No	Trade	2024-12-30	No	No	1		False	False	Pro & Farm	650,000$	325,000$	65,000$	32,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Avery Hayes	Blood Miners (DAL)	C/LW/RW	22	2002-10-10	USA	No	174 Lbs	5 ft8	No	No	Assign Manually		No	No	3	2026-02-12	False	False	Pro & Farm	875,000$	437,500$	87,500$	43,750$	No	875,000$	875,000$	-	-	-	-	-	-	-	875,000$	875,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Caden Price	Blood Miners (DAL)	D	19	2005-08-24	CAN	No	181 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	975,000$	487,500$	97,500$	48,750$	No	975,000$	-	-	-	-	-	-	-	-	975,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Caleb MacDonald	Blood Miners (DAL)	D	22	2002-11-29	CAN	No	229 Lbs	6 ft4	No	No	Free Agent		No	No	2	2025-06-11	False	False	Pro & Farm	650,000$	325,000$	65,000$	32,500$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Calle Clang	Blood Miners (DAL)	G	22	2002-05-20	SWE	No	190 Lbs	6 ft2	No	No	N/A		No	No	2	2025-09-08	False	False	Pro & Farm	1,312,500$	656,250$	131,250$	65,625$	No	1,312,500$	-	-	-	-	-	-	-	-	1,312,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Charle-Edouard DAstous	Blood Miners (DAL)	D	26	1998-04-21	SWE	No	187 Lbs	6 ft2	No	No	Free Agent		No	No	2	2025-06-11	False	False	Pro & Farm	650,000$	325,000$	65,000$	32,500$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Coulson Pitre	Blood Miners (DAL)	C/LW/RW	20	2004-12-13	CAN	No	172 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	1,250,000$	625,000$	125,000$	62,500$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Cross Hanas	Blood Miners (DAL)	C/LW/RW	22	2002-01-05	CAN	No	172 Lbs	6 ft1	No	No	N/A		No	No	1	2025-09-08	False	False	Pro & Farm	1,312,500$	656,250$	131,250$	65,625$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Daniil Miromanov (contrat à 1 volet)	Blood Miners (DAL)	D	27	1997-07-11	RUS	No	207 Lbs	6 ft4	No	No	Trade	2025-05-21	No	No	1		False	False	Pro & Farm	655,000$	327,500$	655,000$	327,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Felix Trudeau (contrat à 1 volet)	Blood Miners (DAL)	LW/RW	22	2002-09-24	CAN	No	190 Lbs	6 ft0	No	No	Assign Manually		No	No	3	2026-03-26	False	False	Pro & Farm	700,000$	350,000$	700,000$	350,000$	No	700,000$	700,000$	-	-	-	-	-	-	-	700,000$	700,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Garin Bjorklund	Blood Miners (DAL)	G	22	2002-05-28	CAN	No	174 Lbs	6 ft2	No	No	N/A		No	No	2	2025-09-08	False	False	Pro & Farm	735,000$	367,500$	73,500$	36,750$	No	735,000$	-	-	-	-	-	-	-	-	735,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Hayes Hundley	Blood Miners (DAL)	D	19	2005-03-22	USA	No	207 Lbs	6 ft1	No	No	Assign Manually		No	No	3	2026-03-30	False	False	Pro & Farm	650,000$	325,000$	65,000$	32,500$	No	650,000$	650,000$	-	-	-	-	-	-	-	650,000$	650,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Ilya Samsonov (contrat à 1 volet)	Blood Miners (DAL)	G	27	1997-02-22	RUS	No	208 Lbs	6 ft3	No	No	N/A		No	No	5		False	False	Pro & Farm	3,200,000$	1,600,000$	3,200,000$	1,600,000$	No	3,200,000$	3,200,000$	3,200,000$	3,200,000$	-	-	-	-	-	3,200,000$	3,200,000$	3,200,000$	3,200,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Isaac Poulter	Blood Miners (DAL)	G	25	1999-01-14	CAN	No	174 Lbs	6 ft2	No	No	N/A		No	No	1	2025-09-08	False	False	Pro & Farm	682,500$	341,250$	68,250$	34,125$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jacob Fowler	Blood Miners (DAL)	G	20	2004-11-24	USA	Yes	214 Lbs	6 ft0	No	No	Prospect		No	No	3	2025-08-20	False	False	Pro & Farm	1,250,000$	625,000$	125,000$	62,500$	No	1,250,000$	1,250,000$	-	-	-	-	-	-	-	1,250,000$	1,250,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Jett Luchanko	Blood Miners (DAL)	C	18	2006-08-21	CAN	Yes	190 Lbs	5 ft9	No	No	Draft		No	No	3	2025-08-20	False	False	Pro & Farm	1,500,000$	750,000$	150,000$	75,000$	No	1,500,000$	1,500,000$	-	-	-	-	-	-	-	1,500,000$	1,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Jonathan Aspirot	Blood Miners (DAL)	LW/RW/D	25	1999-05-16	CAN	No	201 Lbs	6 ft0	No	No	Assign Manually		No	No	3	2026-03-09	False	False	Pro & Farm	675,000$	337,500$	67,500$	33,750$	No	675,000$	675,000$	-	-	-	-	-	-	-	675,000$	675,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Joshua Lopina	Blood Miners (DAL)	C/LW/RW	23	2001-02-16	USA	No	198 Lbs	6 ft1	No	No	N/A		No	No	1	2025-09-08	False	False	Pro & Farm	866,250$	433,125$	86,625$	43,312$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Justin Gill	Blood Miners (DAL)	C	21	2003-01-27	CAN	Yes	190 Lbs	5 ft11	No	No	Prospect		No	No	2	2025-08-20	False	False	Pro & Farm	750,000$	375,000$	75,000$	37,500$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Landon Sim	Blood Miners (DAL)	C/LW/RW	20	2004-07-17	CAN	No	174 Lbs	5 ft11	No	No	Prospect		No	No	2	2024-08-30	False	False	Pro & Farm	700,000$	350,000$	70,000$	35,000$	No	700,000$	-	-	-	-	-	-	-	-	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Lucas Ellinas	Blood Miners (DAL)	C/LW/RW	18	2006-05-12	CAN	Yes	185 Lbs	5 ft11	No	No	Draft		No	No	3	2025-08-20	False	False	Pro & Farm	825,000$	412,500$	82,500$	41,250$	No	825,000$	825,000$	-	-	-	-	-	-	-	825,000$	825,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Lucas Pettersson	Blood Miners (DAL)	C/LW/RW	18	2006-04-17	SWE	Yes	179 Lbs	5 ft9	No	No	Draft		No	No	3	2025-08-20	False	False	Pro & Farm	1,500,000$	750,000$	150,000$	75,000$	No	1,500,000$	1,500,000$	-	-	-	-	-	-	-	1,500,000$	1,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Lucas Wahlin	Blood Miners (DAL)	LW/RW	23	2001-05-03	USA	No	170 Lbs	5 ft10	No	No	Assign Manually		No	No	2	2026-03-27	False	False	Pro & Farm	675,000$	337,500$	67,500$	33,750$	No	675,000$	-	-	-	-	-	-	-	-	675,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Matthew Maggio	Blood Miners (DAL)	LW/RW	22	2002-11-25	CAN	No	180 Lbs	6 ft11	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	375,000$	75,000$	37,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Noah Beck	Blood Miners (DAL)	D	23	2001-03-25	CAN	No	205 Lbs	6 ft3	No	No	Free Agent		No	No	2	2025-06-11	False	False	Pro & Farm	650,000$	325,000$	65,000$	32,500$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Oskar Olausson	Blood Miners (DAL)	LW/RW	22	2002-11-10	SWE	No	180 Lbs	6 ft1	No	No	Assign Manually		No	No	3	2026-04-20	False	False	Pro & Farm	650,000$	325,000$	65,000$	32,500$	No	650,000$	650,000$	-	-	-	-	-	-	-	650,000$	650,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Owen Michaels	Blood Miners (DAL)	C/LW/RW	22	2002-05-01	USA	No	179 Lbs	5 ft10	No	No	Assign Manually		No	No	3	2026-04-06	False	False	Pro & Farm	975,000$	487,500$	97,500$	48,750$	No	975,000$	975,000$	-	-	-	-	-	-	-	975,000$	975,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Philippe Daoust	Blood Miners (DAL)	C/LW/RW	23	2001-11-05	CAN	No	150 Lbs	6 ft0	No	No	N/A		No	No	2	2025-09-08	False	False	Pro & Farm	735,000$	367,500$	73,500$	36,750$	No	735,000$	-	-	-	-	-	-	-	-	735,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Riley Kidney	Blood Miners (DAL)	C/LW/RW	21	2003-03-25	CAN	No	176 Lbs	6 ft0	No	No	N/A		No	No	2	2025-09-08	False	False	Pro & Farm	1,023,750$	511,875$	102,375$	51,188$	No	1,023,750$	-	-	-	-	-	-	-	-	1,023,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Ryden Evers	Blood Miners (DAL)	C/LW/RW	19	2005-06-22	CAN	No	192 Lbs	6 ft2	No	No	Assign Manually		No	No	3	2026-03-04	False	False	Pro & Farm	700,000$	350,000$	70,000$	35,000$	No	700,000$	700,000$	-	-	-	-	-	-	-	700,000$	700,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Samuel Fagemo	Blood Miners (DAL)	LW/RW	24	2000-03-14	SWE	No	200 Lbs	6 ft0	No	No	N/A		No	No	2	2025-09-08	False	False	Pro & Farm	1,378,125$	689,062$	137,812$	68,906$	No	1,378,125$	-	-	-	-	-	-	-	-	1,378,125$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Tobias Bjornfot	Blood Miners (DAL)	D	23	2001-04-06	SWE	No	200 Lbs	6 ft0	No	No	N/A		No	No	2	2025-09-08	False	False	Pro & Farm	716,625$	358,312$	71,662$	35,831$	No	716,625$	-	-	-	-	-	-	-	-	716,625$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
William Villeneuve	Blood Miners (DAL)	D	22	2002-03-20	CAN	No	181 Lbs	6 ft2	No	No	N/A		No	No	2	2025-09-08	False	False	Pro & Farm	1,023,750$	511,875$	102,375$	51,188$	No	1,023,750$	-	-	-	-	-	-	-	-	1,023,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Wojciech Stachowiak	Blood Miners (DAL)	LW/RW	25	1999-07-03	GER	No	187 Lbs	6 ft1	No	No	Free Agent		No	No	1	2025-06-11	False	False	Pro & Farm	650,000$	325,000$	65,000$	32,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
38	22.00	187 Lbs	6 ft2	2.11	944,829$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Landon Sim	Samuel Fagemo	Jonathan Aspirot	28	1	2	2
2	Lucas Wahlin	Aidan Thompson	Jett Luchanko	28	1	2	2
3	Cross Hanas	Justin Gill	Lucas Ellinas	25	1	2	2
4	Samuel Fagemo	Lucas Pettersson	Felix Trudeau	19	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Daniil Miromanov	William Villeneuve	28	1	2	2
2	Adam Ginning	Charle-Edouard DAstous	28	1	2	2
3	Hayes Hundley	Lucas Pettersson	25	1	2	2
4	Daniil Miromanov	Adam Ginning	19	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Cross Hanas	Justin Gill	Jonathan Aspirot	50	1	2	2
2	Lucas Wahlin	Aidan Thompson	Jett Luchanko	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Daniil Miromanov	Hayes Hundley	50	1	2	2
2	Adam Ginning	Charle-Edouard DAstous	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Jett Luchanko	Cross Hanas	50	1	2	2
2	Lucas Wahlin	Aidan Thompson	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Daniil Miromanov	Charle-Edouard DAstous	50	1	2	2
2	Adam Ginning	Jonathan Aspirot	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Lucas Wahlin	50	1	2	2	Daniil Miromanov	Hayes Hundley	50	1	2	2
2	Cross Hanas	50	1	2	2	Adam Ginning	Jonathan Aspirot	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Cross Hanas	Jett Luchanko	50	1	2	2
2	Lucas Wahlin	Aidan Thompson	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Daniil Miromanov	Charle-Edouard DAstous	50	1	2	2
2	Adam Ginning	Jonathan Aspirot	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Cross Hanas	Lucas Ellinas	Jonathan Aspirot	Daniil Miromanov	Adam Ginning

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Cross Hanas	Lucas Ellinas	Jonathan Aspirot	Daniil Miromanov	Adam Ginning

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jett Luchanko, Justin Gill, Cross Hanas	Jett Luchanko, Justin Gill	Cross Hanas

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Hayes Hundley, Charle-Edouard DAstous, Adam Ginning	Hayes Hundley	Charle-Edouard DAstous, Adam Ginning

Tirs de pénalité
Jett Luchanko, Jonathan Aspirot, Cross Hanas, Lucas Wahlin, Aidan Thompson

Gardien
#1 : Ilya Samsonov, #2 : Jacob Fowler

Lignes d’attaque personnalisées en prolongation
Landon Sim, Jonathan Aspirot, Samuel Fagemo, Lucas Wahlin, Aidan Thompson, Justin Gill, Cross Hanas, Lucas Ellinas, Lucas Pettersson, Jett Luchanko

Lignes de défense personnalisées en prolongation
Daniil Miromanov, Hayes Hundley, Jonathan Aspirot, Adam Ginning, Charle-Edouard DAstous

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
Capacité	2500	5500
Prix des billets	34	15
Assistance	0%	0%
Assistance PCT	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$	8000	110

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs
0$	3,134,849$	3,134,849$	600,000$0$

Plafond salarial par jour	Plafond salarial à ce jour	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	36	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	7	0$	0$

Blood Miners Leaders statistiques des joueurs (saison régulière)

Afficher ou masquer des colonnes

#	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

Blood Miners Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

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

Blood Miners Statistiques de l'Équipe de Carrière

Afficher ou masquer des colonnes

	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

Blood Miners Leaders statistiques des joueurs (séries éliminatoires)

Afficher ou masquer des colonnes

#	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

Blood Miners Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

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

	Blood Miners
	GP: 0 \| W: 0 \| L: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% DG: Michael \| Morale : 71 \| Moyenne d’équipe : N/A