Sharks
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance

Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	Gerd
	Entraîneur	Dom Ducharme
	Division	Atlantic Division
	Conférence	Eastern Conference
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Capacité	8,000
	Assistance
	Billets de saison	800
Informations de la formation
	Équipe Pro	39
	Équipe Mineure	17
	Limite contact	56 / 65
	Espoirs	13

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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	Peter Abbandonato	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	59	66	0	69	0	0	26	1	752,456$
2	Connor McMichael	X				100.00	65	50	91	84	69	82	94	75	78	69	73	75	68	52	60	0	99	0	0	23	1	1,575,000$
3	Nikita Gusev		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	69	69	0	43	0	0	32	1	650,000$
4	Anders Bjork	X	X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	53	60	0	84	0	0	28	1	2,220,000$
5	Ryder Korczak	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	42	57	0	84	0	0	22	1	975,000$
6	Zachary LHeureux	X	X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	42	57	0	80	0	0	21	1	1,500,000$
7	Jason Polin		X	X		100.00	66	50	90	60	75	75	85	63	62	63	63	69	65	49	58	0	99	0	0	25	1	650,000$
8	Nikita Nesterenko	X				100.00	69	50	90	69	70	78	93	64	61	64	63	69	65	40	55	0	99	0	0	23	1	650,000$
9	Justin Robidas	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	70	0	0	21	2	825,000$
10	Robin Salo				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	58	62	0	69	0	0	26	1	1,400,000$
11	Sean Day				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	64	69	0	85	0	0	26	1	983,981$
12	Sami Niku				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	58	65	0	76	0	0	28	1	2,220,000$
13	Sean Behrens				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	50	0	0	21	2	1,250,000$
14	Denton Mateychuk				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	84	0	0	20	2	1,500,000$
Rayé
1	John Farinacci	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	48	60	0	82	0	0	23	2	1,312,500$
2	Jens Looke		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	62	69	0	44	0	0	27	2	1,783,180$
3	Ivan Chekhovich		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	57	66	0	27	0	0	25	0	0$
4	Noel Gunler		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	42	57	0	43	0	0	23	1	1,250,000$
5	Ethan Phillips	X	X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	42	57	0	21	0	0	23	1	975,000$
6	Martin Chromiak		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	42	57	0	59	0	0	22	1	825,000$
7	Riley Duran	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	21	0	0	22	2	700,000$
8	Vinzenz Rohrer	X	X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	44	0	0	20	2	975,000$
9	Hunter Haight	X	X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	78	0	0	20	2	1,250,000$
10	Michael Milne		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	34	0	0	22	2	825,000$
11	Connor Bedard (R)	X				100.00	67	50	91	90	70	86	90	82	71	82	76	68	68	1	1	0	99	0	0	19	3	1,500,000$
12	Nikita Grebenkin (R)		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	21	3	650,000$
13	Lukas Cormier				X	100.00	60	50	90	69	70	84	89	62	25	63	61	69	65	52	60	0	99	0	0	22	2	1,023,750$
14	Jakob Stenqvist				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	57	63	0	26	0	0	26	1	682,500$
15	David Quenneville				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	63	66	0	21	0	0	26	1	752,456$
16	Gustav Berglund				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	50	0	20	0	0	23	1	750,000$
17	Artur Cholach				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	43	0	0	21	2	650,000$
18	Pontus Johansson				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	21	0	0	23	1	650,000$
19	Dylan Anhorn				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	23	0	0	25	1	650,000$
20	Connor Kelley (R)				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	22	2	650,000$
21	Cameron Allen (R)				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	19	3	825,000$

	MOYENNE D’ÉQUIPE					100.00	10	8	14	11	11	12	14	11	9	11	10	11	10	43	52	0	54	0

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Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Ales Stezka	100.00	1	1	1	1	1	1	1	1	1	1	1	54	65	0	82	0	0	27	6	727,650$
Rayé
1	Arvid Holm	100.00	1	1	1	1	1	1	1	1	1	1	1	55	63	0	82	0	0	26	1	682,500$
2	Milan Kloucek	100.00	1	1	1	1	1	1	1	1	1	1	1	57	64	0	65	0	0	26	1	682,500$
3	Isaiah Saville	100.00	1	1	1	1	1	1	1	1	1	1	1	49	58	0	75	0	0	24	2	866,250$

	MOYENNE D’ÉQUIPE	100.00	1	1	1	1	1	1	1	1	1	1	1	54	63	0	76	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dom Ducharme	77	77	76	83	65	69	1	CAN	99	1	700,000$

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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	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
Ales Stezka	Blossom Bytes (SJS)	G	27	1997-01-06	CZE	No	190 Lbs	6 ft4	No	No	N/A	No	No	6		False	False	Pro & Farm	727,650$	727,650$	72,765$	72,765$	No	727,650$	727,650$	727,650$	727,650$	727,650$	-	-	-	-	727,650$	727,650$	727,650$	727,650$	727,650$	-	-	-	-	No	No	No	No	No	-	-	-	-
Anders Bjork	Blossom Bytes (SJS)	C/LW/RW	28	1996-08-05	USA	No	190 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	2,220,000$	2,220,000$	222,000$	222,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Artur Cholach	Blossom Bytes (SJS)	D	21	2003-06-06	UKR	No	193 Lbs	7 ft7	No	No	N/A	No	No	2		False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Arvid Holm	Blossom Bytes (SJS)	G	26	1998-11-03	SWE	No	214 Lbs	6 ft4	No	No	N/A	No	No	1		False	False	Pro & Farm	682,500$	682,500$	68,250$	68,250$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Cameron Allen	Blossom Bytes (SJS)	D	19	2005-01-07	CAN	Yes	194 Lbs	6 ft0	No	No	N/A	No	No	3		False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	825,000$	825,000$	-	-	-	-	-	-	-	825,000$	825,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Connor Bedard	Blossom Bytes (SJS)	C	19	2005-07-17	CAN	Yes	185 Lbs	5 ft10	No	No	Free Agent	No	No	3	2024-08-28	False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	1,500,000$	1,500,000$	-	-	-	-	-	-	-	1,500,000$	1,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Connor Kelley	Blossom Bytes (SJS)	D	22	2002-01-30	USA	Yes	201 Lbs	6 ft2	No	No	N/A	No	No	2		False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Connor McMichael	Blossom Bytes (SJS)	C	23	2001-01-15	CAN	No	180 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	1,575,000$	1,575,000$	157,500$	157,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
David Quenneville	Blossom Bytes (SJS)	D	26	1998-03-13	CAN	No	194 Lbs	5 ft8	No	No	N/A	No	No	1		False	False	Pro & Farm	752,456$	752,456$	75,246$	75,246$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Denton Mateychuk	Blossom Bytes (SJS)	D	20	2004-07-12	CAN	No	180 Lbs	7 ft3	No	No	N/A	No	No	2		False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Dylan Anhorn	Blossom Bytes (SJS)	D	25	1999-01-21	CAN	No	190 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ethan Phillips	Blossom Bytes (SJS)	C/LW/RW	23	2001-05-07	CAN	No	154 Lbs	5 ft9	No	No	N/A	No	No	1		False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Gustav Berglund	Blossom Bytes (SJS)	D	23	2001-01-08	SWE	No	189 Lbs	7 ft11	No	No	N/A	No	No	1		False	False	Pro & Farm	750,000$	750,000$	75,000$	75,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Hunter Haight	Blossom Bytes (SJS)	C/LW/RW	20	2004-04-04	CAN	No	180 Lbs	6 ft7	No	No	N/A	No	No	2		False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Isaiah Saville	Blossom Bytes (SJS)	G	24	2000-09-21	USA	No	196 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	866,250$	866,250$	86,625$	86,625$	No	866,250$	-	-	-	-	-	-	-	-	866,250$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Ivan Chekhovich	Blossom Bytes (SJS)	LW/RW	25	1999-01-04	RUS	No	185 Lbs	5 ft10	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jakob Stenqvist	Blossom Bytes (SJS)	D	26	1998-03-17	SWE	No	170 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	682,500$	682,500$	68,250$	68,250$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jason Polin	Blossom Bytes (SJS)	LW/RW	25	1999-06-17	USA	No	198 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jens Looke	Blossom Bytes (SJS)	LW/RW	27	1997-04-11	SWE	No	185 Lbs	6 ft0	No	No	N/A	No	No	2		False	False	Pro & Farm	1,783,180$	1,783,180$	178,318$	178,318$	No	1,783,180$	-	-	-	-	-	-	-	-	1,783,180$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
John Farinacci	Blossom Bytes (SJS)	C	23	2001-02-14	USA	No	185 Lbs	6 ft0	No	No	N/A	No	No	2		False	False	Pro & Farm	1,312,500$	1,312,500$	131,250$	131,250$	No	1,312,500$	-	-	-	-	-	-	-	-	1,312,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Justin Robidas	Blossom Bytes (SJS)	C	21	2003-03-13	USA	No	173 Lbs	6 ft8	No	No	N/A	No	No	2		False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	825,000$	-	-	-	-	-	-	-	-	825,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Lukas Cormier	Blossom Bytes (SJS)	D	22	2002-03-27	CAN	No	185 Lbs	5 ft11	No	No	N/A	No	No	2		False	False	Pro & Farm	1,023,750$	1,023,750$	102,375$	102,375$	No	1,023,750$	-	-	-	-	-	-	-	-	1,023,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Martin Chromiak	Blossom Bytes (SJS)	LW/RW	22	2002-08-20	SVK	No	190 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Michael Milne	Blossom Bytes (SJS)	LW/RW	22	2002-09-21	CAN	No	180 Lbs	7 ft0	No	No	N/A	No	No	2		False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	825,000$	-	-	-	-	-	-	-	-	825,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Milan Kloucek	Blossom Bytes (SJS)	G	26	1998-04-30	CZE	No	205 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	682,500$	682,500$	68,250$	68,250$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Nikita Grebenkin	Blossom Bytes (SJS)	LW/RW	21	2003-05-02	RUS	Yes	192 Lbs	6 ft2	No	No	N/A	No	No	3		False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	650,000$	-	-	-	-	-	-	-	650,000$	650,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Nikita Gusev	Blossom Bytes (SJS)	LW/RW	32	1992-07-08	RUS	No	163 Lbs	5 ft9	No	No	N/A	No	No	1		False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Nikita Nesterenko	Blossom Bytes (SJS)	C	23	2001-09-10	USA	No	183 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Noel Gunler	Blossom Bytes (SJS)	LW/RW	23	2001-10-07	SWE	No	176 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Peter Abbandonato	Blossom Bytes (SJS)	C	26	1998-03-25	CAN	No	192 Lbs	5 ft11	No	No	N/A	No	No	1		False	False	Pro & Farm	752,456$	752,456$	75,246$	75,246$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Pontus Johansson	Blossom Bytes (SJS)	D	23	2001-10-23	SWE	No	185 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Riley Duran	Blossom Bytes (SJS)	C	22	2002-01-25	USA	No	188 Lbs	6 ft10	No	No	N/A	No	No	2		False	False	Pro & Farm	700,000$	700,000$	70,000$	70,000$	No	700,000$	-	-	-	-	-	-	-	-	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Robin Salo	Blossom Bytes (SJS)	D	26	1998-10-13	FIN	No	190 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	1,400,000$	1,400,000$	140,000$	140,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ryder Korczak	Blossom Bytes (SJS)	C	22	2002-09-23	CAN	No	172 Lbs	5 ft11	No	No	N/A	No	No	1		False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Sami Niku	Blossom Bytes (SJS)	D	28	1996-10-10	FIN	No	176 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	2,220,000$	2,220,000$	222,000$	222,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Sean Behrens	Blossom Bytes (SJS)	D	21	2003-03-31	USA	No	177 Lbs	6 ft8	No	No	N/A	No	No	2		False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Sean Day	Blossom Bytes (SJS)	D	26	1998-01-09	CAN	No	218 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	983,981$	983,981$	98,398$	98,398$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Vinzenz Rohrer	Blossom Bytes (SJS)	C/LW/RW	20	2004-09-09	AUT	No	178 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	975,000$	-	-	-	-	-	-	-	-	975,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Zachary LHeureux	Blossom Bytes (SJS)	C/LW/RW	21	2003-05-15	CAN	No	196 Lbs	5 ft11	No	No	N/A	No	No	1		False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
39	23.56	186 Lbs	6 ft3	1.59	994,608$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Anders Bjork	Connor McMichael	Jason Polin	28	1	2	2
2	Peter Abbandonato		Zachary LHeureux	28	1	2	2
3	Justin Robidas	Ryder Korczak	Nikita Gusev	25	1	2	2
4	Connor McMichael	Anders Bjork	Ryder Korczak	19	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Sami Niku	35	1	2	2
2	Sean Behrens	Sean Day	35	1	2	2
3	Denton Mateychuk	Robin Salo	30	1	2	2
4		Sean Day	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Anders Bjork		Connor McMichael	50	1	2	2
2	Peter Abbandonato	Ryder Korczak	Jason Polin	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Sami Niku	Denton Mateychuk	50	1	2	2
2	Robin Salo	Sean Day	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Connor McMichael	50	1	2	2
2	Ryder Korczak	Anders Bjork	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Denton Mateychuk	Sami Niku	50	1	2	2
2	Sean Behrens	Sean Day	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1		50	1	2	2	Denton Mateychuk	Sean Day	50	1	2	2
2	Connor McMichael	50	1	2	2	Robin Salo	Sami Niku	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Peter Abbandonato	Anders Bjork	50	1	2	2
2	Connor McMichael	Ryder Korczak	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Sean Day	Denton Mateychuk	50	1	2	2
2	Sami Niku	Sean Behrens	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jason Polin	Connor McMichael	Anders Bjork	Sami Niku	Sean Day

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Anders Bjork	Peter Abbandonato	Connor McMichael	Sean Behrens	Denton Mateychuk

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jason Polin, Connor McMichael, Ryder Korczak	Connor McMichael, Ryder Korczak	Connor McMichael

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Denton Mateychuk, Sean Behrens, Sean Day	Denton Mateychuk	Sean Day, Sean Behrens

Tirs de pénalité
, Jason Polin, Connor McMichael, Anders Bjork, Ryder Korczak

Gardien
#1 : Ales Stezka, #2 :

Lignes d’attaque personnalisées en prolongation
Connor McMichael, , Peter Abbandonato, Anders Bjork, Nikita Gusev, Jason Polin, Jason Polin, Justin Robidas, Ryder Korczak, Zachary LHeureux, Nikita Nesterenko

Lignes de défense personnalisées en prolongation
Sami Niku, Denton Mateychuk, Sean Behrens, Sean Day, Robin Salo

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	45	25
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$	3,878,973$	3,878,973$	700,000$0$

Plafond salarial par jour	Plafond salarial à ce jour	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	37	0

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

Blossom Bytes 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

Blossom Bytes 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

Blossom Bytes 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

Blossom Bytes 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

Blossom Bytes 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

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