Canadian Hockey League

BigBadStars
Accueil
Formation
Pointeurs
Contrats
Trios
Stats Équipe
Calendrier
Charte
Carrière

Meneurs d'équipe

Stats Équipe

Blessure/Suspension
Pas de blessure ou de suspension.

Information d’équipe
	Directeur général
	Entraîneur	Don Granato
	Division	Central
	Conférence	Western
	Capitaine
	Assistant #1
	Assistant #2
Uniformes

Informations de l’aréna
	Nom	Coors Light Field
	Capacité	25,000
	Assistance
	Billets de saison	10,000
Information formation
	Équipe Pro	23
	Équipe Mineure	27
	Limite contact	50 / 55
	Espoirs	20
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	90,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	18
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	56,598,130$
	Compte bancaire projeté	56,598,130$
Historique d'équipe
	Saison actuelle	0-0-0 (0PTS)
	Historique	814-759-143 (0.474%)
	Apparitions séries éliminatoires	11
	Historique séries éliminatoires (W-L)	32-48
	Stanley Cup	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 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	Adrian Kempe			X		100.00	77	52	76	90	68	87	98	82	71	77	86	74	85	84	86	40	20	78	0	30	4	8,500,000$
2	Jared McCann		X			100.00	58	51	86	89	59	82	79	77	40	72	82	66	60	84	83	40	20	72	0	30	5	6,500,000$
3	Owen Tippett			X		100.00	88	52	82	85	68	83	98	71	40	63	78	73	70	78	81	55	20	72	0	27	3	6,000,000$
4	Quinton Byfield			X		100.00	60	61	78	80	86	88	97	70	81	66	75	77	57	72	80	70	20	72	0	24	4	6,000,000$
5	Brock Boeser			X		100.00	57	51	88	85	67	87	94	71	77	68	74	64	62	82	85	45	20	71	0	29	1	7,000,000$
6	Scott Laughton	X				100.00	84	50	80	80	58	79	87	58	93	49	67	79	40	88	84	30	20	67	0	32	2	3,500,000$
7	Connor Zary	X				100.00	54	43	84	82	50	79	94	59	81	54	63	65	40	74	77	65	20	64	0	25	1	3,000,000$
8	Zach Aston-Reese		X			100.00	99	50	81	76	65	71	62	53	40	52	53	69	40	88	80	30	20	62	0	32	1	575,000$
9	John Hayden	X				100.00	92	67	52	75	79	76	66	40	40	33	46	58	40	86	81	35	20	57	0	31	1	575,000$
10	Chris Terry		X			100.00	50	55	83	75	58	65	55	40	40	36	45	54	90	98	82	5	20	54	0	37	1	575,000$
11	Ryan Pulock				X	100.00	55	54	86	79	73	84	95	60	40	66	55	88	40	88	86	30	20	73	0	32	2	6,000,000$
12	Gustav Forsling				X	100.00	55	52	77	80	63	87	98	60	40	67	53	85	40	84	86	40	20	72	0	30	3	6,000,000$
13	Braden Schneider				X	100.00	87	53	84	75	70	84	99	55	40	56	53	78	40	74	79	65	20	71	0	25	1	3,500,000$
14	Jamie Drysdale				X	100.00	45	46	82	84	52	86	96	64	40	65	63	69	40	72	79	70	20	68	0	24	1	3,000,000$
15	Samuel Girard				X	100.00	48	42	82	83	42	80	84	59	40	62	56	71	40	80	80	50	20	66	0	28	1	5,000,000$
Rayé
1	William Nylander			X		100.00	45	48	85	98	61	87	87	95	73	99	88	69	65	84	86	40	20	81	0	30	4	11,000,000$
2	Juraj Slafkovsky		X			100.00	70	58	77	88	80	86	99	82	40	83	80	72	57	68	77	80	20	76	0	22	0	0$
3	Blake Coleman		X			100.00	92	50	76	84	59	84	90	66	40	58	74	95	65	94	89	15	20	74	0	35	0	0$
4	Jake Sanderson				X	100.00	50	51	88	90	66	91	89	82	40	89	76	89	40	72	82	70	20	77	0	24	0	0$
5	Kaiden Guhle				X	100.00	92	57	69	77	68	82	70	58	40	59	56	81	40	72	77	70	20	70	0	24	0	0$
Équipe Mineure
1	Cole Smith			X		100.00	99	57	77	75	65	77	86	53	40	45	60	77	40	86	82	35	20	64	0	31	1	575,000$
2	Seth Griffith			X		100.00	51	43	76	85	48	80	70	64	40	70	51	59	40	90	85	25	20	63	0	33	1	575,000$
3	Rodrigo Abols	X				100.00	67	63	80	75	72	72	72	55	87	54	56	76	40	84	78	40	20	63	0	30	1	575,000$
4	Josh Dunne	X				100.00	68	66	68	75	73	70	66	50	89	47	52	63	40	80	75	50	20	59	0	28	2	575,000$
5	Judd Caulfield			X		100.00	62	49	86	75	71	80	70	47	40	44	50	65	90	74	77	65	20	59	0	25	2	575,000$
6	Hayden Hodgson			X		100.00	99	77	68	75	78	67	50	45	40	40	50	56	40	84	76	40	20	57	0	30	2	575,000$
7	Mikhail Maltsev		X			100.00	80	51	82	75	78	60	50	52	40	59	46	52	40	80	70	50	20	57	0	28	2	575,000$
8	Cam Lund (R)	X				100.00	55	49	84	76	63	60	50	53	40	55	50	57	90	68	64	80	20	57	0	22	2	925,000$
9	Luke Tuch (R)		X			100.00	78	61	66	75	75	77	67	33	40	26	41	63	40	72	75	70	20	54	0	24	1	750,000$
10	Pavel Novak			X		100.00	51	52	81	75	49	60	50	34	40	26	43	59	40	72	66	70	20	49	0	24	2	575,000$
11	Ryan Suter				X	100.00	51	50	84	76	64	55	50	53	40	53	53	65	40	99	77	0	20	61	0	41	1	575,000$
12	Jacob Larsson				X	100.00	59	48	75	75	66	55	50	50	40	55	44	50	40	82	69	45	20	57	0	29	2	575,000$
13	Turner Ottenbreit				X	100.00	68	69	68	75	65	61	56	35	40	34	36	59	40	82	72	45	20	57	0	29	2	575,000$
14	Wyatt Newpower				X	100.00	82	62	70	75	74	57	52	33	40	31	35	56	40	82	70	45	20	57	0	29	2	575,000$
15	Oskari Laaksonen				X	100.00	58	47	80	75	51	55	50	37	40	37	36	50	40	78	67	55	20	53	0	27	2	575,000$
16	Nathan Larose				X	100.00	55	48	85	75	61	55	50	32	40	27	36	50	40	74	65	65	20	52	0	25	2	575,000$
17	Kim Nousiainen				X	100.00	39	38	80	75	44	55	50	32	40	34	30	50	40	76	66	60	20	50	0	26	2	575,000$
18	Easton Cowan (R)			X		100.00	66	49	76	83	56	79	88	63	40	62	64	65	40	66	73	85	20	65	0	21	3	925,000$
19	Dominic James (R)	X				100.00	72	46	86	81	56	75	72	59	85	55	63	64	99	72	74	70	20	64	0	24	2	750,000$
20	Brendan Brisson	X				100.00	60	46	71	75	60	75	65	48	40	42	54	50	73	74	75	65	20	56	0	25	0	0$
21	Jacob Julien (R)	X				100.00	53	41	82	81	64	60	50	34	70	31	38	57	40	68	64	80	20	51	0	22	3	925,000$
22	Vilmer Alriksson (R)		X			100.00	77	63	64	73	90	60	50	34	40	26	41	50	80	66	63	85	20	51	0	21	3	925,000$
23	Alexander Khovanov		X			100.00	50	45	74	75	55	60	50	34	40	35	34	52	40	76	68	60	20	49	0	26	2	575,000$
24	Theo Lindstein (R)				X	100.00	51	48	83	79	60	76	55	57	40	50	64	76	40	66	71	85	20	64	0	21	3	925,000$
25	Carter Yakemchuk (R)				X	100.00	64	50	77	82	77	58	53	59	40	66	53	50	40	66	62	85	20	61	0	21	3	925,000$

	MOYENNE D’ÉQUIPE					100.00	66	52	78	79	65	73	71	54	49	53	56	65	51	79	76	53	20	63

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	Mackenzie Blackwood	100.00	88	78	79	99	85	82	84	83	89	87	40	84	83	40	20	83	0	30	2	6,000,000$
2	Jordan Binnington	100.00	91	80	83	83	74	70	69	67	67	73	92	90	80	25	20	74	0	33	1	6,000,000$
Rayé
1	Casey DeSmith	100.00	86	67	69	84	87	88	89	90	90	84	81	94	91	15	20	84	0	35	0	0$
Équipe Mineure
1	Dereck Baribeau	100.00	75	50	60	97	50	50	50	50	50	50	70	78	64	55	20	58	0	27	0	0$
2	Drew Commesso	100.00	87	65	67	85	50	50	50	50	50	50	40	72	61	70	20	58	0	24	0	0$

	MOYENNE D’ÉQUIPE	100.00	85	68	72	90	69	68	68	68	69	69	65	84	76	41	20	71

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Don Granato	75	64	55	64	94	73	52	USA	59	2	3,000,000$

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	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	2040	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2041	2042	2043	2044	2045	Link
Adrian Kempe	Stars	RW	30	1996-09-13	No	205 Lbs	6 ft2	No	No	Yes	4	Pro Only	8,500,000$	8,500,000$	8,500,000$	No	8,500,000$	8,500,000$	8,500,000$	UFA		Lien / Lien NHL
Blake Coleman	Stars	LW	35	1991-11-28	No	199 Lbs	5 ft11	No	No	Yes	0	Pro Only	UFA	0$	0$	No						Lien / Lien NHL
Braden Schneider	Stars	D	25	2001-09-20	No	206 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	RFA					Lien / Lien NHL
Brock Boeser	Stars	RW	29	1997-02-25	No	208 Lbs	6 ft1	No	No	Yes	1	Pro Only	7,000,000$	7,000,000$	7,000,000$	No	UFA					Lien / Lien NHL
Casey DeSmith	Stars	G	35	1991-08-13	No	180 Lbs	6 ft0	No	No	No	0	Pro & Farm	UFA	0$	0$	No						Lien / Lien NHL
Chris Terry	Stars	LW	37	1989-04-07	No	202 Lbs	5 ft10	No	No	No	1	Pro & Farm	575,000$	575,000$	575,000$	No	UFA					Lien / Lien NHL
Connor Zary	Stars	C	25	2001-09-25	No	178 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	No	RFA					Lien / Lien NHL
Gustav Forsling	Stars	D	30	1996-06-12	No	199 Lbs	6 ft1	No	No	Yes	3	Pro Only	6,000,000$	6,000,000$	6,000,000$	No	6,000,000$	6,000,000$	UFA			Lien / Lien NHL
Jake Sanderson	Stars	D	24	2002-07-08	No	202 Lbs	6 ft2	No	No	No	0	Pro & Farm	RFA	0$	0$	No						Lien / Lien NHL
Jamie Drysdale	Stars	D	24	2002-04-08	No	185 Lbs	5 ft11	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	No	RFA					Lien / Lien NHL
Jared McCann	Stars	LW	30	1996-05-31	No	191 Lbs	6 ft1	No	No	Yes	5	Pro Only	6,500,000$	6,500,000$	6,500,000$	No	6,500,000$	6,500,000$	6,500,000$	6,500,000$	UFA	Lien / Lien NHL
John Hayden	Stars	C	31	1995-02-14	No	223 Lbs	6 ft3	No	No	No	1	Pro & Farm	575,000$	575,000$	575,000$	No	UFA					Lien / Lien NHL
Jordan Binnington	Stars	G	33	1993-07-11	No	173 Lbs	6 ft1	No	No	Yes	1	Pro Only	6,000,000$	6,000,000$	6,000,000$	No	UFA					Lien / Lien NHL
Juraj Slafkovsky	Stars	LW	22	2004-03-30	No	225 Lbs	6 ft3	No	No	No	0	Pro & Farm	RFA	0$	0$	No						Lien / Lien NHL
Kaiden Guhle	Stars	D	24	2002-01-18	No	202 Lbs	6 ft3	No	No	No	0	Pro & Farm	RFA	0$	0$	No						Lien / Lien NHL
Mackenzie Blackwood	Stars	G	30	1996-12-09	No	224 Lbs	6 ft4	No	No	Yes	2	Pro & Farm	6,000,000$	6,000,000$	6,000,000$	No	6,000,000$	UFA				Lien / Lien NHL
Owen Tippett	Stars	RW	27	1999-02-16	No	210 Lbs	6 ft1	No	No	Yes	3	Pro Only	6,000,000$	6,000,000$	6,000,000$	No	6,000,000$	6,000,000$	UFA			Lien / Lien NHL
Quinton Byfield	Stars	RW	24	2002-08-19	No	230 Lbs	6 ft5	No	No	Yes	4	Pro Only	6,000,000$	6,000,000$	6,000,000$	No	6,000,000$	6,000,000$	6,000,000$	RFA		Lien / Lien NHL
Ryan Pulock	Stars	D	32	1994-10-06	No	219 Lbs	6 ft1	No	No	Yes	2	Pro Only	6,000,000$	6,000,000$	6,000,000$	No	6,000,000$	UFA				Lien / Lien NHL
Samuel Girard	Stars	D	28	1998-05-12	No	170 Lbs	5 ft10	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	UFA					Lien / Lien NHL
Scott Laughton	Stars	C	32	1994-05-30	No	190 Lbs	6 ft1	No	No	Yes	2	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$	UFA				Lien / Lien NHL
William Nylander	Stars	RW	30	1996-05-01	No	200 Lbs	6 ft0	No	No	Yes	4	Pro Only	11,000,000$	11,000,000$	11,000,000$	No	11,000,000$	11,000,000$	11,000,000$	UFA		Lien / Lien NHL
Zach Aston-Reese	Stars	LW	32	1994-08-10	No	203 Lbs	6 ft1	No	No	No	1	Pro & Farm	575,000$	575,000$	575,000$	No	UFA					Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	29.09	201 Lbs	6 ft1	1.65	3,857,609$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
88,725,000$	59,500,000$	44,000,000$	32,000,000$	6,500,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jared McCann	Scott Laughton	Adrian Kempe	40	1	2	2
2		Connor Zary	Quinton Byfield	30	1	2	2
3		Zach Aston-Reese	Brock Boeser	20	1	2	2
4	Chris Terry	John Hayden	Owen Tippett	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Gustav Forsling	40	1	2	2
2	Ryan Pulock	Braden Schneider	30	1	2	2
3	Samuel Girard	Jamie Drysdale	20	1	2	2
4		Gustav Forsling	10	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jared McCann	Scott Laughton	Adrian Kempe	60	1	2	2
2		Connor Zary	Quinton Byfield	40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Gustav Forsling	60	1	2	2
2	Ryan Pulock	Braden Schneider	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Adrian Kempe	Jared McCann	60	1	2	2
2	Quinton Byfield		40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Gustav Forsling	60	1	2	2
2	Ryan Pulock	Braden Schneider	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Adrian Kempe	60	1	2	2		Gustav Forsling	60	1	2	2
2	Jared McCann	40	1	2	2	Ryan Pulock	Braden Schneider	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Adrian Kempe	Jared McCann	60	1	2	2
2	Quinton Byfield		40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Gustav Forsling	60	1	2	2
2	Ryan Pulock	Braden Schneider	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jared McCann	Scott Laughton	Adrian Kempe		Gustav Forsling

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jared McCann	Scott Laughton	Adrian Kempe		Gustav Forsling

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
, Brock Boeser, Owen Tippett	, Brock Boeser	Owen Tippett

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Samuel Girard, Jamie Drysdale, Ryan Pulock	Samuel Girard	Jamie Drysdale, Ryan Pulock

Tirs de pénalité
Adrian Kempe, Jared McCann, Quinton Byfield, ,

Gardien
#1 : Mackenzie Blackwood, #2 : Jordan Binnington

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	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	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	0.00%	0	0	0.00%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
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	0.00%	0	0	0.00%	0	0	0.00%

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

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Juraj Slafkovsky

AGE:22
SK:		88
EN:		86
DU:		99
PH:		82
PA:		83
SC:		80
DF:		72
Blake Coleman

AGE:35
SK:		84
EN:		84
DU:		90
PH:		66
PA:		58
SC:		74
DF:		95
Jared McCann

AGE:30
SK:		89
EN:		82
DU:		79
PH:		77
PA:		72
SC:		82
DF:		66
Zach Aston-Reese

AGE:32
SK:		76
EN:		71
DU:		62
PH:		53
PA:		52
SC:		53
DF:		69
Mikhail Maltsev

AGE:28
SK:		75
EN:		60
DU:		50
PH:		52
PA:		59
SC:		46
DF:		52
Luke Tuch (R)

AGE:24
SK:		75
EN:		77
DU:		67
PH:		33
PA:		26
SC:		41
DF:		63
Chris Terry

AGE:37
SK:		75
EN:		65
DU:		55
PH:		40
PA:		36
SC:		45
DF:		54
Vilmer Alriksson (R)

AGE:21
SK:		73
EN:		60
DU:		50
PH:		34
PA:		26
SC:		41
DF:		50
Alexander Khovanov

AGE:26
SK:		75
EN:		60
DU:		50
PH:		34
PA:		35
SC:		34
DF:		52

Scott Laughton

AGE:32
SK:		80
EN:		79
DU:		87
PH:		58
PA:		49
SC:		67
DF:		79
Dominic James (R)

AGE:24
SK:		81
EN:		75
DU:		72
PH:		59
PA:		55
SC:		63
DF:		64
Connor Zary

AGE:25
SK:		82
EN:		79
DU:		94
PH:		59
PA:		54
SC:		63
DF:		65
Rodrigo Abols

AGE:30
SK:		75
EN:		72
DU:		72
PH:		55
PA:		54
SC:		56
DF:		76
Josh Dunne

AGE:28
SK:		75
EN:		70
DU:		66
PH:		50
PA:		47
SC:		52
DF:		63
Cam Lund (R)

AGE:22
SK:		76
EN:		60
DU:		50
PH:		53
PA:		55
SC:		50
DF:		57
John Hayden

AGE:31
SK:		75
EN:		76
DU:		66
PH:		40
PA:		33
SC:		46
DF:		58
Brendan Brisson

AGE:25
SK:		75
EN:		75
DU:		65
PH:		48
PA:		42
SC:		54
DF:		50
Jacob Julien (R)

AGE:22
SK:		81
EN:		60
DU:		50
PH:		34
PA:		31
SC:		38
DF:		57

William Nylander

AGE:30
SK:		98
EN:		87
DU:		87
PH:		95
PA:		99
SC:		88
DF:		69
Adrian Kempe

AGE:30
SK:		90
EN:		87
DU:		98
PH:		82
PA:		77
SC:		86
DF:		74
Quinton Byfield

AGE:24
SK:		80
EN:		88
DU:		97
PH:		70
PA:		66
SC:		75
DF:		77
Owen Tippett

AGE:27
SK:		85
EN:		83
DU:		98
PH:		71
PA:		63
SC:		78
DF:		73
Brock Boeser

AGE:29
SK:		85
EN:		87
DU:		94
PH:		71
PA:		68
SC:		74
DF:		64
Easton Cowan (R)

AGE:21
SK:		83
EN:		79
DU:		88
PH:		63
PA:		62
SC:		64
DF:		65
Cole Smith

AGE:31
SK:		75
EN:		77
DU:		86
PH:		53
PA:		45
SC:		60
DF:		77
Seth Griffith

AGE:33
SK:		85
EN:		80
DU:		70
PH:		64
PA:		70
SC:		51
DF:		59
Judd Caulfield

AGE:25
SK:		75
EN:		80
DU:		70
PH:		47
PA:		44
SC:		50
DF:		65
Hayden Hodgson

AGE:30
SK:		75
EN:		67
DU:		50
PH:		45
PA:		40
SC:		50
DF:		56
Pavel Novak

AGE:24
SK:		75
EN:		60
DU:		50
PH:		34
PA:		26
SC:		43
DF:		59

Défense #1

Défense #2

Gardien

Jake Sanderson

AGE:24
SK:		90
EN:		91
DU:		89
PH:		82
PA:		89
SC:		76
DF:		89
Ryan Pulock

AGE:32
SK:		79
EN:		84
DU:		95
PH:		60
PA:		66
SC:		55
DF:		88
Gustav Forsling

AGE:30
SK:		80
EN:		87
DU:		98
PH:		60
PA:		67
SC:		53
DF:		85
Braden Schneider

AGE:25
SK:		75
EN:		84
DU:		99
PH:		55
PA:		56
SC:		53
DF:		78
Kaiden Guhle

AGE:24
SK:		77
EN:		82
DU:		70
PH:		58
PA:		59
SC:		56
DF:		81
Jamie Drysdale

AGE:24
SK:		84
EN:		86
DU:		96
PH:		64
PA:		65
SC:		63
DF:		69
Samuel Girard

AGE:28
SK:		83
EN:		80
DU:		84
PH:		59
PA:		62
SC:		56
DF:		71
Theo Lindstein (R)

AGE:21
SK:		79
EN:		76
DU:		55
PH:		57
PA:		50
SC:		64
DF:		76

Carter Yakemchuk (R)

AGE:21
SK:		82
EN:		58
DU:		53
PH:		59
PA:		66
SC:		53
DF:		50
Ryan Suter

AGE:41
SK:		76
EN:		55
DU:		50
PH:		53
PA:		53
SC:		53
DF:		65
Jacob Larsson

AGE:29
SK:		75
EN:		55
DU:		50
PH:		50
PA:		55
SC:		44
DF:		50
Turner Ottenbreit

AGE:29
SK:		75
EN:		61
DU:		56
PH:		35
PA:		34
SC:		36
DF:		59
Wyatt Newpower

AGE:29
SK:		75
EN:		57
DU:		52
PH:		33
PA:		31
SC:		35
DF:		56
Oskari Laaksonen

AGE:27
SK:		75
EN:		55
DU:		50
PH:		37
PA:		37
SC:		36
DF:		50
Nathan Larose

AGE:25
SK:		75
EN:		55
DU:		50
PH:		32
PA:		27
SC:		36
DF:		50
Kim Nousiainen

AGE:26
SK:		75
EN:		55
DU:		50
PH:		32
PA:		34
SC:		30
DF:		50

Casey DeSmith

AGE:35
SK:		86
AG:		87
RB:		88
SC:		89
HS:		90
RT:		90
DF:		84
Mackenzie Blackwood

AGE:30
SK:		88
AG:		85
RB:		82
SC:		84
HS:		83
RT:		89
DF:		87
Jordan Binnington

AGE:33
SK:		91
AG:		74
RB:		70
SC:		69
HS:		67
RT:		67
DF:		73
Drew Commesso

AGE:24
SK:		87
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Dereck Baribeau

AGE:27
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

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
Ales Cech	Stars	2038	169
Alexander Zharovsky	Stars	2039	17
Asher Barnett	Stars	2039	110
Ben Danford	Stars	2038	47
Brady Cleveland	Stars	2037	78
Brandon Gorzynski	Stars	2039	79
Daimon Gardner	Stars	2036	141
EJ Emery	Stars	2038	45
Garrett Brown	Stars	2036	110
Hampton Slukynsky	Stars	2037	109
Hayden Paupanekis	Stars	2039	48
Ivan Tkach-Tkachenko	Stars	2039	172
Maxim Mayorov	Stars	2036	172
Mikhail Yegorov	Stars	2038	76
Olof Glifford	Stars	2037	202
Ondrej Kos	Stars	2038	107
Tomas Poletin	Stars	2039	141
Tory Pitner	Stars	2038	200
Victor Johansson	Stars	2038	138
Victor Raftheim	Stars	2039	203

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7
2040
2041
2042
2043

Stars Leaders statistiques (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
1	Boyd Gordon	1356	198	340	538	-56	1008	1497	1544	1913	10.35%	821	21131	15.58	33	57	90	159	5	5	10	39	29	13	44.96%	2	0.51	2	8
2	William Nylander	467	200	262	462	49	41	102	866	1688	11.85%	87	10368	22.20	51	93	144	425	6	4	10	43	26	9	41.51%	5	0.89	8	21
3	Jared McCann	483	209	242	451	-15	143	424	924	1739	12.02%	85	9769	20.23	61	98	159	449	5	4	9	39	26	9	50.76%	3	0.92	7	14
4	Matt Moulson	474	200	225	425	-1	206	511	744	1738	11.51%	153	10110	21.33	56	70	126	345	4	5	9	35	34	11	32.21%	5	0.84	9	45
5	Adrian Kempe	562	190	233	423	-8	341	846	988	1712	11.10%	119	10015	17.82	49	74	123	344	5	3	8	37	28	11	43.02%	5	0.84	7	20

Stars 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	A	EG	PS %	PSA
1	Mackenzie Blackwood	307	135	122	31	0.894	3.38	17178	37	5	967	9143	14	2	0.738	84
2	Jordan Binnington	247	120	92	16	0.883	3.65	13545	30	2	825	7040	9	2	0.649	37
3	Ilja Bryzgalov	253	108	110	20	0.897	3.20	14268	63	5	761	7422	12	3	0.708	72
4	Marc-Andre Fleury	184	97	70	14	0.901	2.94	10913	16	6	535	5387	8	6	0.766	128
5	Jonathan Bernier	171	77	67	10	0.903	3.07	9599	16	6	491	5058	7	3	0.704	54

Stars 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
Saison régulière
2017	82	33	41	0	3	2	1	2	277	288	-11	41	13	23	0	2	1	1	1	119	145	-26	41	20	18	0	1	1	0	1	158	143	15	74	277	464	741	0	1	0	67	105	101	2685	0	852	880	943	2668	845	1171	1748	266	58	21.80%	252	50	80.16%	4	1013	2038	49.71%	984	1948	50.51%	730	1449	50.38%	1743	999	1894	827	1475	729
2018	82	30	34	0	2	2	10	4	248	261	-13	41	18	13	0	2	0	6	2	128	114	14	41	12	21	0	0	2	4	2	120	147	-27	66	248	396	644	1	2	0	61	105	70	2778	0	869	1001	872	2726	864	1161	1900	208	29	13.94%	222	37	83.33%	8	843	2112	39.91%	857	2145	39.95%	553	1452	38.09%	1667	933	1839	764	1493	726
2019	82	38	28	0	8	1	6	1	287	241	46	41	19	16	0	2	1	2	1	143	128	15	41	19	12	0	6	0	4	0	144	113	31	93	287	471	758	5	1	0	77	100	96	2891	0	981	966	906	2718	875	968	1778	236	43	18.22%	171	21	87.72%	1	925	2200	42.05%	918	2116	43.38%	509	1298	39.21%	1738	1020	1797	750	1442	704
2020	82	19	46	0	4	3	3	7	236	283	-47	41	9	26	0	2	0	2	2	127	145	-18	41	10	20	0	2	3	1	5	109	138	-29	49	236	388	624	8	0	0	64	76	89	2747	0	900	942	879	2738	904	1106	1856	209	33	15.79%	251	57	77.29%	5	876	2220	39.46%	896	2182	41.06%	508	1295	39.23%	1687	944	1805	754	1485	730
2021	82	32	35	0	2	7	3	3	242	254	-12	41	14	19	0	1	4	1	2	112	126	-14	41	18	16	0	1	3	2	1	130	128	2	75	242	433	675	2	2	0	92	64	81	2393	0	788	819	763	2394	737	865	1686	448	86	19.20%	380	69	81.84%	3	1542	2924	52.74%	1426	2873	49.63%	648	1275	50.82%	2035	1416	1914	607	1023	516
2022	82	39	34	0	5	2	2	0	261	247	14	41	21	16	0	3	1	0	0	136	128	8	41	18	18	0	2	1	2	0	125	119	6	90	261	462	723	2	4	0	92	88	74	2684	0	847	923	896	2509	722	963	1716	471	103	21.87%	385	76	80.26%	3	1693	3180	53.24%	1502	2972	50.54%	632	1260	50.16%	2050	1436	1882	602	1008	515
2023	82	30	32	0	6	1	7	6	274	270	4	41	17	13	0	4	1	4	2	147	126	21	41	13	19	0	2	0	3	4	127	144	-17	73	274	475	749	1	2	0	94	77	90	2439	0	837	786	790	2678	813	1129	1823	434	95	21.89%	481	99	79.42%	3	1361	2887	47.14%	1416	3159	44.82%	613	1311	46.76%	1935	1319	2032	624	1030	508
2024	82	26	45	0	2	2	4	3	213	280	-67	41	10	24	0	2	1	1	3	98	144	-46	41	16	21	0	0	1	3	0	115	136	-21	69	213	374	587	0	2	0	83	73	51	2354	0	756	831	750	2656	772	988	1813	410	65	15.85%	422	89	78.91%	3	1301	2892	44.99%	1368	3059	44.72%	614	1275	48.16%	1959	1354	1997	610	1005	498
2025	82	41	31	0	2	3	1	4	295	287	8	41	19	15	0	1	1	1	4	146	150	-4	41	22	16	0	1	2	0	0	149	137	12	95	295	515	810	0	1	0	108	100	84	2586	0	857	906	806	2557	704	810	1672	456	113	24.78%	367	86	76.57%	4	1577	2957	53.33%	1438	2856	50.35%	707	1363	51.87%	2069	1454	1869	593	1018	521
2026	82	21	48	0	1	4	3	5	229	316	-87	41	9	26	0	0	2	0	4	111	160	-49	41	12	22	0	1	2	3	1	118	156	-38	59	229	415	644	4	3	0	97	63	65	2451	0	821	807	804	2827	830	922	1652	415	83	20.00%	372	90	75.81%	3	1454	2887	50.36%	1419	3070	46.22%	661	1312	50.38%	1913	1321	2037	610	1014	502
2027	82	28	37	0	2	5	4	6	215	251	-36	41	19	14	0	2	2	2	2	123	121	2	41	9	23	0	0	3	2	4	92	130	-38	79	215	371	586	2	3	0	68	82	59	2304	0	718	771	793	2603	754	882	1706	440	76	17.27%	367	73	80.11%	1	1392	2794	49.82%	1433	3088	46.41%	649	1248	52.00%	1895	1294	2051	623	1031	507
2030	82	24	40	0	5	4	3	6	218	260	-42	41	13	19	0	4	1	1	3	119	131	-12	41	11	21	0	1	3	2	3	99	129	-30	74	218	378	596	1	1	0	81	59	70	2341	0	777	790	741	2647	812	933	1759	437	84	19.22%	411	89	78.35%	4	1407	2890	48.69%	1413	3185	44.36%	580	1292	44.89%	1877	1262	2078	633	1037	504
2031	82	33	37	0	2	1	4	5	241	258	-17	41	18	16	0	1	1	3	2	125	121	4	41	15	21	0	1	0	1	3	116	137	-21	84	241	430	671	0	1	0	106	65	64	2474	0	804	840	814	2564	736	891	1733	421	82	19.48%	366	87	76.23%	1	1499	2978	50.34%	1418	2970	47.74%	655	1311	49.96%	1979	1368	1964	613	1026	510
2032	82	27	33	0	2	1	14	5	249	250	-1	41	18	12	0	1	1	6	3	137	120	17	41	9	21	0	1	0	8	2	112	130	-18	92	249	433	682	4	2	0	109	66	58	2344	0	807	758	741	2665	767	868	1662	404	75	18.56%	364	59	83.79%	4	1402	2777	50.49%	1572	3162	49.72%	658	1322	49.77%	2008	1387	1966	623	1047	524
2033	82	30	35	0	2	4	4	7	278	295	-17	41	18	16	0	1	1	1	4	138	127	11	41	12	19	0	1	3	3	3	140	168	-28	83	278	495	773	2	1	0	97	79	96	2707	0	913	882	880	2663	809	1008	1774	413	84	20.34%	406	94	76.85%	2	1531	3079	49.72%	1460	3079	47.42%	705	1370	51.46%	1919	1307	2018	626	1050	521
2034	82	38	26	0	2	7	4	5	313	280	33	41	20	13	0	0	6	1	1	168	152	16	41	18	13	0	2	1	3	4	145	128	17	100	313	552	865	0	2	0	114	104	89	2996	0	986	997	965	2695	718	968	1878	432	101	23.38%	403	71	82.38%	5	1636	3292	49.70%	1360	3040	44.74%	629	1396	45.06%	1965	1345	1977	615	1039	520
2035	82	41	36	0	0	2	2	1	301	284	17	41	25	13	0	0	2	1	0	163	125	38	41	16	23	0	0	0	1	1	138	159	-21	89	301	537	838	1	0	0	113	99	87	2567	0	870	803	885	2616	799	949	1789	408	88	21.57%	393	80	79.64%	2	1312	2952	44.44%	1262	2980	42.35%	539	1363	39.55%	1961	1361	1966	602	1015	508
2036	82	40	35	0	2	2	1	2	312	325	-13	41	19	17	0	1	1	1	2	156	159	-3	41	21	18	0	1	1	0	0	156	166	-10	90	312	556	868	0	1	0	116	114	79	2890	0	919	1019	931	2617	726	970	1771	393	74	18.83%	387	90	76.74%	8	1614	3138	51.43%	1303	2779	46.89%	657	1386	47.40%	1979	1371	1932	602	1036	519
2037	82	32	38	0	4	5	1	2	338	330	8	41	15	20	0	1	2	1	2	157	161	-4	41	17	18	0	3	3	0	0	181	169	12	81	338	614	952	3	1	135	113	85	7	2932	987	966	946	45	2553	756	917	1848	451	99	21.95%	391	102	73.91%	5	1457	3085	47.23%	1239	2756	44.96%	651	1409	46.20%	1995	1395	1935	594	1027	522
2038	82	39	30	0	4	5	3	1	308	277	31	41	17	16	0	3	4	1	0	146	143	3	41	22	14	0	1	1	2	1	162	134	28	98	308	530	838	0	1	107	105	89	13	2734	900	941	862	51	2610	715	1008	1842	420	92	21.90%	440	92	79.09%	8	1320	3056	43.19%	1331	3066	43.41%	564	1327	42.50%	1979	1361	1956	615	1019	511
2039	82	24	38	0	6	9	3	2	241	273	-32	41	13	15	0	5	5	3	0	122	119	3	41	11	23	0	1	4	0	2	119	154	-35	77	241	436	677	0	2	89	84	59	10	2420	766	778	852	38	2555	768	962	1839	380	63	16.58%	403	73	81.89%	4	1299	2846	45.64%	1359	3007	45.19%	589	1292	45.59%	1963	1345	1977	618	1030	514
Total Saison régulière	1722	665	759	0	66	72	83	77	5576	5810	-234	861	344	362	0	38	38	39	40	2821	2845	-24	861	321	397	0	28	34	44	37	2755	2965	-210	1690	5576	9725	15301	36	33	331	1941	1752	1433	54717	2653	17987	18381	15293	55259	16426	20439	37245	8152	1626	19.95%	7634	1584	79.25%	81	28454	59184	48.08%	27374	59492	46.01%	13051	28006	46.60%	40323	27001	40896	13514	23360	11620
Séries éliminatoires
2019	13	7	6	0	0	0	0	0	46	32	14	6	2	4	0	0	0	0	0	18	17	1	7	5	2	0	0	0	0	0	28	15	13	14	46	76	122	0	0	0	11	19	15	464	0	158	163	136	427	140	204	290	34	7	20.59%	31	1	96.77%	0	166	360	46.11%	126	314	40.13%	61	200	30.50%	276	160	284	117	228	110
2022	7	3	4	0	0	0	0	0	27	27	0	3	2	1	0	0	0	0	0	13	9	4	4	1	3	0	0	0	0	0	14	18	-4	6	27	52	79	0	0	0	8	10	9	235	0	69	90	76	249	84	76	136	38	6	15.79%	32	4	87.50%	0	129	296	43.58%	129	276	46.74%	61	126	48.41%	174	119	157	49	88	45
2023	4	0	4	0	0	0	0	0	7	19	-12	2	0	2	0	0	0	0	0	5	9	-4	2	0	2	0	0	0	0	0	2	10	-8	0	7	14	21	0	0	0	4	1	2	95	0	36	30	29	179	44	73	97	19	3	15.79%	34	7	79.41%	0	57	122	46.72%	83	189	43.92%	21	62	33.87%	84	56	109	30	45	21
2025	7	3	4	0	0	0	0	0	18	26	-8	3	2	1	0	0	0	0	0	10	11	-1	4	1	3	0	0	0	0	0	8	15	-7	6	18	31	49	0	0	0	6	5	7	186	0	58	68	60	226	65	100	172	24	3	12.50%	36	9	75.00%	0	109	239	45.61%	128	256	50.00%	54	110	49.09%	158	106	174	51	87	42
2031	4	0	4	0	0	0	0	0	9	18	-9	2	0	2	0	0	0	0	0	5	7	-2	2	0	2	0	0	0	0	0	4	11	-7	0	9	15	24	0	0	0	3	4	2	80	0	17	32	31	151	46	63	92	15	3	20.00%	22	4	81.82%	0	44	113	38.94%	70	162	43.21%	39	69	56.52%	80	51	109	31	49	23
2032	6	2	4	0	0	0	0	0	18	22	-4	3	1	2	0	0	0	0	0	7	8	-1	3	1	2	0	0	0	0	0	11	14	-3	4	18	31	49	1	0	0	6	4	8	158	0	58	46	54	188	38	53	126	40	4	10.00%	25	4	84.00%	0	98	194	50.52%	110	208	52.88%	43	97	44.33%	148	102	133	45	78	39
2033	6	2	4	0	0	0	0	0	21	24	-3	3	0	3	0	0	0	0	0	8	11	-3	3	2	1	0	0	0	0	0	13	13	0	4	21	35	56	0	0	0	7	4	10	177	0	64	43	67	219	55	76	122	28	7	25.00%	33	7	78.79%	1	115	215	53.49%	97	232	41.81%	43	104	41.35%	136	92	149	46	78	37
2034	15	9	6	0	0	0	0	0	58	52	6	6	2	4	0	0	0	0	0	21	25	-4	9	7	2	0	0	0	0	0	37	27	10	18	58	98	156	0	1	0	22	20	16	594	0	178	188	188	492	158	163	340	86	20	23.26%	78	15	80.77%	1	269	629	42.77%	252	575	43.83%	139	286	48.60%	376	256	397	122	206	99
2035	7	3	4	0	0	0	0	0	25	32	-7	3	1	2	0	0	0	0	0	12	17	-5	4	2	2	0	0	0	0	0	13	15	-2	6	25	44	69	0	0	0	8	9	8	226	0	71	76	79	257	72	73	180	32	7	21.88%	29	8	72.41%	0	92	271	33.95%	92	260	35.38%	56	120	46.67%	157	105	177	50	85	42
2036	4	0	4	0	0	0	0	0	13	21	-8	2	0	2	0	0	0	0	0	6	10	-4	2	0	2	0	0	0	0	0	7	11	-4	0	13	22	35	1	0	0	4	4	5	155	0	51	54	50	129	47	34	86	21	5	23.81%	17	7	58.82%	0	69	174	39.66%	68	133	51.13%	39	75	52.00%	96	66	94	27	48	24
2038	7	3	4	0	0	0	0	0	32	31	1	3	1	2	0	0	0	0	0	9	13	-4	4	2	2	0	0	0	0	0	23	18	5	6	32	57	89	0	0	11	7	14	0	215	69	63	83	0	231	70	89	150	37	10	27.03%	34	8	76.47%	0	114	246	46.34%	87	248	35.08%	45	129	34.88%	162	112	174	53	90	43
Total Séries éliminatoires	80	32	48	0	0	0	0	0	274	304	-30	36	11	25	0	0	0	0	0	114	137	-23	44	21	23	0	0	0	0	0	160	167	-7	64	274	475	749	2	1	11	86	94	82	2585	69	823	873	770	2748	819	1004	1791	374	75	20.05%	371	74	80.05%	2	1262	2859	44.14%	1242	2853	43.53%	601	1378	43.61%	1851	1229	1961	627	1088	531

Stars Leaders statistiques (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	PKP	PKS	GW	GT	FO%	HT	P/20
1	Kyle Connor	32	24	23	47	3	5	10	64	166	14.46%	13	784	24.52	6	9	15	44	2	2	7	3	1	24.34%	1	1.20
2	William Nylander	39	19	25	44	7	2	11	58	148	12.84%	3	781	20.04	9	10	19	47	0	0	0	4	1	41.54%	1	1.13
3	Blake Coleman	39	18	14	32	-2	54	144	91	120	15.00%	11	832	21.34	5	7	12	39	0	0	1	1	1	39.82%	1	0.77
4	Alex Killorn	38	10	21	31	-13	20	49	62	126	7.94%	16	787	20.72	1	11	12	32	0	0	2	1	1	34.43%	0	0.79
5	Matt Moulson	24	13	17	30	9	7	28	46	93	13.98%	10	489	20.39	3	4	7	18	0	0	0	0	1	34.74%	1	1.23

Stars 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
1	Mackenzie Blackwood	27	13	9	4	0.888	3.60	1583	2	1	95	851	0	5	1
2	Ryan Miller	13	7	5	1	0.925	2.45	785	0	0	32	427	189	1	0
3	Ilja Bryzgalov	9	3	5	0	0.896	3.84	500	15	0	32	309	0	1	0
4	Mark Dekanich	6	3	3	0	0.890	3.56	354	2	0	21	191	0	1	0
5	Jordan Binnington	12	3	6	1	0.861	4.65	684	2	0	53	381	0	0	0