Canadian Hockey League

Bandits
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	Maxime Barabe
	Entraîneur	Glen Gulutzan
	Division	Central
	Conférence	Western
	Capitaine
	Assistant #1
	Assistant #2
Uniformes

Informations de l’aréna
	Nom	Anheuser-Busch Center
	Capacité	25,000
	Assistance
	Billets de saison	10,000
Information formation
	Équipe Pro	21
	Équipe Mineure	28
	Limite contact	49 / 55
	Espoirs	0
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	16
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	298,276,044$
	Compte bancaire projeté	298,276,044$
Historique d'équipe
	Saison actuelle	0-0-0 (0PTS)
	Historique	836-748-145 (0.484%)
	Apparitions séries éliminatoires	11
	Historique séries éliminatoires (W-L)	76-60
	Stanley Cup	1

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	Brad Marchand		X			100.00	56	40	75	97	45	84	79	88	40	83	93	63	64	99	92	0	20	77	0	38	1	8,750,000$
2	Zach Hyman		X			100.00	63	51	80	90	66	88	83	82	40	70	94	72	40	92	90	20	20	76	0	34	2	7,000,000$
3	Boone Jenner	X				100.00	91	57	77	83	67	82	89	68	88	71	66	79	60	90	86	25	20	73	0	33	3	5,000,000$
4	Marcus Johansson		X			100.00	51	50	87	86	65	80	94	72	40	77	66	74	51	96	88	10	25	72	0	36	1	2,000,000$
5	Taylor Hall		X			100.00	56	52	79	84	68	79	98	70	40	71	68	66	64	94	87	15	20	70	0	35	2	3,750,000$
6	Nic Dowd	X				100.00	84	52	71	77	63	79	94	56	84	57	55	76	73	96	88	10	20	67	0	36	4	2,200,000$
7	Keegan Kolesar			X		100.00	99	66	77	75	73	74	99	54	40	51	56	68	40	82	78	45	20	65	0	29	0	0$
8	Lars Eller	X				100.00	57	52	86	76	69	74	89	54	89	52	56	71	73	98	86	5	20	65	0	37	0	0$
9	William Carrier		X			100.00	98	54	85	76	72	72	91	56	40	53	58	67	40	88	80	30	20	65	0	32	2	2,350,000$
10	Warren Foegele		X			100.00	65	52	85	76	68	77	89	55	40	45	66	63	40	84	81	40	20	63	0	30	0	0$
11	Ivan Provorov				X	100.00	48	55	82	80	75	91	99	63	40	62	64	82	40	82	87	45	20	73	0	29	4	6,000,000$
12	Kristopher Letang				X	100.00	70	48	80	83	61	86	94	65	40	74	55	70	71	99	93	0	20	72	0	39	1	5,500,000$
13	John Marino				X	100.00	48	49	86	82	63	84	98	64	40	73	56	82	40	82	83	45	20	72	0	29	3	3,900,000$
14	Darnell Nurse				X	100.00	79	66	65	76	77	84	99	59	40	57	61	77	40	86	85	35	20	72	0	31	5	6,500,000$
15	Radko Gudas				X	100.00	99	68	66	78	65	77	81	55	40	56	54	77	40	96	87	10	20	71	0	36	4	4,000,000$
16	Christopher Tanev				X	100.00	44	51	90	75	67	79	51	52	40	55	50	96	40	98	89	5	20	69	0	37	2	4,400,000$
Rayé
1	Sam Reinhart	X				100.00	62	48	87	92	61	90	87	84	73	81	87	80	81	86	88	35	20	78	0	31	2	7,200,000$
2	Nick Schmaltz	X				100.00	47	44	83	93	53	87	99	82	81	81	83	82	77	84	86	40	20	77	0	30	4	6,375,000$
3	Jimmy Vesey			X		100.00	57	51	90	75	67	60	50	53	40	46	50	52	70	90	75	25	20	56	0	33	0	0$
Équipe Mineure
1	Nick Cousins	X				100.00	89	50	67	80	55	74	98	57	40	54	59	68	69	90	82	25	20	65	0	33	1	850,000$
2	Conor Sheary		X			100.00	48	39	85	82	43	78	85	57	40	55	59	76	65	92	85	20	20	64	0	34	1	900,000$
3	Filip Bystedt (R)		X			100.00	77	56	83	79	72	74	64	63	40	68	58	63	40	68	71	80	20	64	0	22	2	925,000$
4	Michael Eyssimont	X				100.00	63	51	79	80	59	73	81	58	40	55	62	64	40	84	79	40	20	63	0	30	1	1,250,000$
5	Calle Jarnkrok	X				100.00	54	47	87	77	58	74	81	51	83	43	59	71	62	94	84	15	25	62	0	35	2	3,500,000$
6	Drake Caggiula		X			100.00	62	40	68	82	51	60	50	59	40	57	52	60	90	88	74	30	20	59	0	32	0	0$
7	Jakub Vrana		X			100.00	51	48	85	81	60	60	50	60	40	51	60	57	76	84	72	40	20	59	0	30	0	0$
8	Nils Aman	X				100.00	67	45	84	78	55	64	54	56	70	70	39	59	57	76	70	60	20	59	0	26	0	0$
9	Rasmus Kupari	X				100.00	71	51	85	75	66	60	50	51	88	44	57	55	40	76	68	60	20	57	0	26	0	0$
10	Hugh McGing		X			100.00	50	71	72	76	43	75	65	44	40	44	45	60	40	80	78	50	20	55	0	28	1	1,750,000$
11	Pierrick Dube			X		100.00	59	51	80	77	48	60	50	49	40	51	47	60	40	74	67	65	27	55	0	25	1	575,000$
12	Lukas Rousek			X		100.00	48	40	78	76	60	60	50	49	40	60	38	51	40	78	69	55	20	54	0	27	1	750,000$
13	Jasper Weatherby	X				100.00	64	58	78	75	77	60	50	41	70	36	45	55	40	80	70	50	20	53	0	28	0	0$
14	Matthew Sop (R)		X			100.00	58	45	83	75	53	60	50	44	40	44	44	55	40	70	65	75	30	53	0	23	2	575,000$
15	Kaleb Lawrence (R)		X			100.00	91	74	50	75	86	60	50	30	70	29	30	60	40	70	65	75	28	51	0	23	2	575,000$
16	Ethan Keppen		X			100.00	59	51	62	75	67	60	50	31	40	24	37	58	40	74	67	65	22	49	0	25	1	575,000$
17	Troy Stecher				X	100.00	51	42	84	80	49	82	87	55	40	54	56	77	40	88	85	30	20	67	0	32	1	1,750,000$
18	Jacob Bryson				X	100.00	47	40	86	79	44	68	77	52	40	50	55	63	40	82	75	45	20	61	0	29	0	0$
19	Calvin deHaan				X	100.00	75	47	85	76	59	55	50	52	40	54	50	55	40	94	75	15	20	60	0	35	0	0$
20	Braden Hache (R)				X	100.00	77	77	57	75	72	76	71	32	40	29	35	63	40	70	73	75	24	60	0	23	2	925,000$
21	Jett Woo				X	100.00	74	49	47	75	64	55	50	35	40	35	36	50	99	76	66	60	20	54	0	26	0	0$
22	Layton Ahac				X	100.00	69	63	81	75	68	55	50	28	40	26	30	50	40	74	65	65	23	53	0	25	1	575,000$
23	Daylan Kuefler		X			100.00	66	71	71	75	60	76	66	40	40	38	42	64	40	72	74	70	28	55	0	24	1	575,000$
24	William Dufour		X			100.00	47	45	70	75	73	60	50	41	40	39	43	50	40	72	66	70	20	51	0	24	0	0$
25	Cameron Butler			X		100.00	75	72	65	75	77	60	50	28	40	20	35	57	40	72	66	70	20	49	0	24	1	575,000$
26	Isaac Belliveau (R)				X	100.00	55	49	63	84	60	55	50	32	40	31	33	51	40	72	64	70	29	53	0	24	2	750,000$

	MOYENNE D’ÉQUIPE					100.00	65	53	77	79	63	72	72	54	49	53	54	66	52	84	78	40	21	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	Ilya Sorokin	100.00	92	97	99	89	88	87	88	91	90	90	85	86	87	35	20	87	0	31	8	8,000,000$
2	Ilya Samsonov	100.00	82	50	60	93	50	50	50	50	50	50	84	82	66	45	20	59	0	29	0	0$
Rayé
Équipe Mineure
1	Aleksei Kolosov (R)	100.00	75	66	71	92	50	50	50	50	50	50	40	72	61	70	26	59	0	24	1	750,000$
2	Landon Bow	100.00	75	50	60	96	50	50	50	50	50	50	83	86	68	35	20	59	0	31	0	0$

	MOYENNE D’ÉQUIPE	100.00	81	66	73	93	60	59	60	60	60	60	73	82	71	46	22	66

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Glen Gulutzan	75	98	91	85	90	75	60	CAN	55	5	2,000,000$

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	2046	2047	Link
Boone Jenner	Blues	C	33	1993-06-15	No	204 Lbs	6 ft2	No	No	Yes	3	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$	5,000,000$	UFA					Lien / Lien NHL
Brad Marchand	Blues	LW	38	1988-05-11	No	180 Lbs	5 ft9	No	No	Yes	1	Pro Only	8,750,000$	8,750,000$	8,750,000$	No	UFA							Lien / Lien NHL
Christopher Tanev	Blues	D	37	1989-12-20	No	200 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	4,400,000$	4,400,000$	4,400,000$	No	4,400,000$	UFA						Lien / Lien NHL
Darnell Nurse	Blues	D	31	1995-02-04	No	215 Lbs	6 ft4	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
Ilya Samsonov	Blues	G	29	1997-02-22	No	200 Lbs	6 ft3	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No								Lien / Lien NHL
Ilya Sorokin	Blues	G	31	1995-08-04	No	190 Lbs	6 ft3	No	No	Yes	8	Pro Only	8,000,000$	8,000,000$	8,000,000$	No	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	Lien / Lien NHL
Ivan Provorov	Blues	D	29	1997-01-13	No	224 Lbs	6 ft1	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$	UFA				Lien / Lien NHL
Jimmy Vesey	Blues	RW	33	1993-05-26	No	203 Lbs	6 ft2	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No								Lien / Lien NHL
John Marino	Blues	D	29	1997-05-21	No	200 Lbs	6 ft1	No	No	Yes	3	Pro & Farm	3,900,000$	3,900,000$	3,900,000$	No	3,900,000$	3,900,000$	UFA					Lien / Lien NHL
Keegan Kolesar	Blues	RW	29	1997-04-08	No	216 Lbs	6 ft2	No	No	No	0	Pro & Farm	UFA	0$	0$	No								Lien / Lien NHL
Kristopher Letang	Blues	D	39	1987-04-24	No	199 Lbs	6 ft0	No	No	Yes	1	Pro Only	5,500,000$	5,500,000$	5,500,000$	No	UFA							Lien / Lien NHL
Lars Eller	Blues	C	37	1989-05-08	No	207 Lbs	6 ft2	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No								Lien / Lien NHL
Marcus Johansson	Blues	LW	36	1990-10-06	No	203 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No	UFA							Lien / Lien NHL
Nic Dowd	Blues	C	36	1990-05-27	No	195 Lbs	6 ft2	Yes	No	Yes	4	Pro & Farm	2,200,000$	2,200,000$	2,200,000$	No	2,200,000$	2,200,000$	2,200,000$	UFA				Lien / Lien NHL
Nick Schmaltz	Blues	C	30	1996-02-23	No	184 Lbs	6 ft0	No	No	Yes	4	Pro Only	6,375,000$	6,375,000$	6,375,000$	No	6,375,000$	6,375,000$	6,375,000$	UFA				Lien / Lien NHL
Radko Gudas	Blues	D	36	1990-06-05	No	208 Lbs	6 ft0	Yes	No	Yes	4	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	No	4,000,000$	4,000,000$	4,000,000$	UFA				Lien / Lien NHL
Sam Reinhart	Blues	C	31	1995-11-06	No	196 Lbs	6 ft1	No	No	Yes	2	Pro Only	7,200,000$	7,200,000$	7,200,000$	No	7,200,000$	UFA						Lien / Lien NHL
Taylor Hall	Blues	LW	35	1991-11-14	No	210 Lbs	6 ft1	No	No	Yes	2	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	3,750,000$	UFA						Lien / Lien NHL
Warren Foegele	Blues	LW	30	1996-04-01	No	205 Lbs	6 ft2	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No								Lien / Lien NHL
William Carrier	Blues	LW	32	1994-12-20	No	214 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	2,350,000$	2,350,000$	2,350,000$	No	2,350,000$	UFA						Lien / Lien NHL
Zach Hyman	Blues	LW	34	1992-06-09	No	206 Lbs	6 ft1	No	No	Yes	2	Pro Only	7,000,000$	7,000,000$	7,000,000$	No	7,000,000$	UFA						Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	33.10	203 Lbs	6 ft1	2.29	3,948,810$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
82,925,000$	66,675,000$	41,975,000$	33,075,000$	14,500,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Brad Marchand		Warren Foegele	40	1	2	2
2	Zach Hyman	Boone Jenner	Taylor Hall	30	1	2	2
3		Nic Dowd	Keegan Kolesar	20	1	2	2
4	William Carrier	Lars Eller		10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Darnell Nurse	Kristopher Letang	40	1	2	2
2	Ivan Provorov	Radko Gudas	30	1	2	2
3	Christopher Tanev		20	1	2	2
4	John Marino	Darnell Nurse	10	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Brad Marchand		Warren Foegele	60	1	2	2
2	Zach Hyman	Boone Jenner	Taylor Hall	40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Darnell Nurse	Kristopher Letang	60	1	2	2
2	Ivan Provorov	Radko Gudas	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Boone Jenner	60	1	2	2
2	Brad Marchand	Warren Foegele	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Darnell Nurse	Kristopher Letang	60	1	2	2
2	Ivan Provorov	Radko Gudas	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1		60	1	2	2	Darnell Nurse	Kristopher Letang	60	1	2	2
2	Boone Jenner	40	1	2	2	Ivan Provorov	Radko Gudas	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Boone Jenner	60	1	2	2
2	Brad Marchand	Warren Foegele	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Darnell Nurse	Kristopher Letang	60	1	2	2
2	Ivan Provorov	Radko Gudas	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Brad Marchand		Warren Foegele	Darnell Nurse	Kristopher Letang

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Brad Marchand		Warren Foegele	Darnell Nurse	Kristopher Letang

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Nic Dowd, , Keegan Kolesar	Nic Dowd,	Keegan Kolesar

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Christopher Tanev, , John Marino	Christopher Tanev	, John Marino

Tirs de pénalité
, Boone Jenner, Brad Marchand, Warren Foegele, Zach Hyman

Gardien
#1 : Ilya Sorokin, #2 : Ilya Samsonov

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

Brad Marchand

AGE:38
SK:		97
EN:		84
DU:		79
PH:		88
PA:		83
SC:		93
DF:		63
Zach Hyman

AGE:34
SK:		90
EN:		88
DU:		83
PH:		82
PA:		70
SC:		94
DF:		72
Marcus Johansson

AGE:36
SK:		86
EN:		80
DU:		94
PH:		72
PA:		77
SC:		66
DF:		74
Taylor Hall

AGE:35
SK:		84
EN:		79
DU:		98
PH:		70
PA:		71
SC:		68
DF:		66
William Carrier

AGE:32
SK:		76
EN:		72
DU:		91
PH:		56
PA:		53
SC:		58
DF:		67
Filip Bystedt (R)

AGE:22
SK:		79
EN:		74
DU:		64
PH:		63
PA:		68
SC:		58
DF:		63
Conor Sheary

AGE:34
SK:		82
EN:		78
DU:		85
PH:		57
PA:		55
SC:		59
DF:		76
Warren Foegele

AGE:30
SK:		76
EN:		77
DU:		89
PH:		55
PA:		45
SC:		66
DF:		63
Jakub Vrana

AGE:30
SK:		81
EN:		60
DU:		50
PH:		60
PA:		51
SC:		60
DF:		57
Drake Caggiula

AGE:32
SK:		82
EN:		60
DU:		50
PH:		59
PA:		57
SC:		52
DF:		60
Daylan Kuefler

AGE:24
SK:		75
EN:		76
DU:		66
PH:		40
PA:		38
SC:		42
DF:		64
Hugh McGing

AGE:28
SK:		76
EN:		75
DU:		65
PH:		44
PA:		44
SC:		45
DF:		60
Matthew Sop (R)

AGE:23
SK:		75
EN:		60
DU:		50
PH:		44
PA:		44
SC:		44
DF:		55
Kaleb Lawrence (R)

AGE:23
SK:		75
EN:		60
DU:		50
PH:		30
PA:		29
SC:		30
DF:		60
William Dufour

AGE:24
SK:		75
EN:		60
DU:		50
PH:		41
PA:		39
SC:		43
DF:		50
Ethan Keppen

AGE:25
SK:		75
EN:		60
DU:		50
PH:		31
PA:		24
SC:		37
DF:		58

Sam Reinhart

AGE:31
SK:		92
EN:		90
DU:		87
PH:		84
PA:		81
SC:		87
DF:		80
Nick Schmaltz

AGE:30
SK:		93
EN:		87
DU:		99
PH:		82
PA:		81
SC:		83
DF:		82
Boone Jenner

AGE:33
SK:		83
EN:		82
DU:		89
PH:		68
PA:		71
SC:		66
DF:		79
Nic Dowd

AGE:36
SK:		77
EN:		79
DU:		94
PH:		56
PA:		57
SC:		55
DF:		76
Nick Cousins

AGE:33
SK:		80
EN:		74
DU:		98
PH:		57
PA:		54
SC:		59
DF:		68
Lars Eller

AGE:37
SK:		76
EN:		74
DU:		89
PH:		54
PA:		52
SC:		56
DF:		71
Michael Eyssimont

AGE:30
SK:		80
EN:		73
DU:		81
PH:		58
PA:		55
SC:		62
DF:		64
Calle Jarnkrok

AGE:35
SK:		77
EN:		74
DU:		81
PH:		51
PA:		43
SC:		59
DF:		71
Nils Aman

AGE:26
SK:		78
EN:		64
DU:		54
PH:		56
PA:		70
SC:		39
DF:		59
Rasmus Kupari

AGE:26
SK:		75
EN:		60
DU:		50
PH:		51
PA:		44
SC:		57
DF:		55
Jasper Weatherby

AGE:28
SK:		75
EN:		60
DU:		50
PH:		41
PA:		36
SC:		45
DF:		55

Keegan Kolesar

AGE:29
SK:		75
EN:		74
DU:		99
PH:		54
PA:		51
SC:		56
DF:		68
Jimmy Vesey

AGE:33
SK:		75
EN:		60
DU:		50
PH:		53
PA:		46
SC:		50
DF:		52
Pierrick Dube

AGE:25
SK:		77
EN:		60
DU:		50
PH:		49
PA:		51
SC:		47
DF:		60
Lukas Rousek

AGE:27
SK:		76
EN:		60
DU:		50
PH:		49
PA:		60
SC:		38
DF:		51
Cameron Butler

AGE:24
SK:		75
EN:		60
DU:		50
PH:		28
PA:		20
SC:		35
DF:		57

Défense #1

Défense #2

Gardien

Ivan Provorov

AGE:29
SK:		80
EN:		91
DU:		99
PH:		63
PA:		62
SC:		64
DF:		82
John Marino

AGE:29
SK:		82
EN:		84
DU:		98
PH:		64
PA:		73
SC:		56
DF:		82
Darnell Nurse

AGE:31
SK:		76
EN:		84
DU:		99
PH:		59
PA:		57
SC:		61
DF:		77
Kristopher Letang

AGE:39
SK:		83
EN:		86
DU:		94
PH:		65
PA:		74
SC:		55
DF:		70
Radko Gudas

AGE:36
SK:		78
EN:		77
DU:		81
PH:		55
PA:		56
SC:		54
DF:		77
Christopher Tanev

AGE:37
SK:		75
EN:		79
DU:		51
PH:		52
PA:		55
SC:		50
DF:		96
Troy Stecher

AGE:32
SK:		80
EN:		82
DU:		87
PH:		55
PA:		54
SC:		56
DF:		77

Jacob Bryson

AGE:29
SK:		79
EN:		68
DU:		77
PH:		52
PA:		50
SC:		55
DF:		63
Braden Hache (R)

AGE:23
SK:		75
EN:		76
DU:		71
PH:		32
PA:		29
SC:		35
DF:		63
Calvin deHaan

AGE:35
SK:		76
EN:		55
DU:		50
PH:		52
PA:		54
SC:		50
DF:		55
Jett Woo

AGE:26
SK:		75
EN:		55
DU:		50
PH:		35
PA:		35
SC:		36
DF:		50
Isaac Belliveau (R)

AGE:24
SK:		84
EN:		55
DU:		50
PH:		32
PA:		31
SC:		33
DF:		51
Layton Ahac

AGE:25
SK:		75
EN:		55
DU:		50
PH:		28
PA:		26
SC:		30
DF:		50

Ilya Sorokin

AGE:31
SK:		92
AG:		88
RB:		87
SC:		88
HS:		91
RT:		90
DF:		90
Aleksei Kolosov (R)

AGE:24
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Ilya Samsonov

AGE:29
SK:		82
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Landon Bow

AGE:31
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	Information	Lien

Choix au repêchage

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

Blues 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	Jared Spurgeon	762	196	467	663	-109	417	479	1465	1934	10.13%	1343	18552	24.35	126	168	294	1274	1	12	13	33	22	13	0.00%	5	0.71	0	2
2	Alan Letang	1308	223	419	642	-59	820	1731	1776	2440	9.14%	821	23027	17.60	48	87	135	242	4	10	14	52	30	18	55.08%	2	0.56	10	31
3	Mika Zibanejad	708	186	282	468	-105	595	1133	1230	1931	9.63%	140	13468	19.02	49	127	176	487	3	8	11	48	19	10	51.38%	2	0.69	11	37
4	Sam Reinhart	399	205	232	437	129	145	352	801	1604	12.78%	60	7955	19.94	52	103	155	413	0	0	0	8	41	10	52.41%	5	1.10	0	12
5	Nick Schmaltz	469	161	275	436	57	40	77	1022	1484	10.85%	89	9127	19.46	36	108	144	358	5	4	9	24	22	6	50.28%	6	0.96	3	17

Blues 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
1	John Gibson	387	200	130	36	0.898	3.08	22076	28	12	1134	11153	0	20	5	0.754	171
2	Roberto Luongo	359	117	200	22	0.897	3.66	20177	49	10	1229	11909	0	8	7	0.693	101
3	Juuse Saros	197	106	67	17	0.903	2.99	11573	12	8	576	5932	0	10	1	0.738	61
4	Ilya Sorokin	163	106	49	7	0.903	2.89	9520	12	6	458	4742	0	9	4	0.862	29
5	Devan Dubnyk	143	72	51	18	0.910	2.90	8506	14	1	411	4543	1903	8	2	0.728	92

Blues 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	31	40	0	0	2	5	4	257	247	10	41	14	21	0	0	1	3	2	127	126	1	41	17	19	0	0	1	2	2	130	121	9	64	257	412	669	1	0	0	60	100	92	2587	0	784	889	893	2509	810	1322	1952	289	50	17.30%	263	49	81.37%	7	1000	1993	50.18%	994	2083	47.72%	688	1366	50.37%	1789	1015	1833	820	1507	762
2018	82	32	34	0	4	5	4	3	230	237	-7	41	13	21	0	1	4	1	1	104	128	-24	41	19	13	0	3	1	3	2	126	109	17	77	230	366	596	0	4	0	56	92	74	2507	0	781	939	762	2510	808	1074	2062	228	44	19.30%	255	43	83.14%	5	946	1938	48.81%	999	2019	49.48%	688	1355	50.77%	1671	908	1750	783	1554	757
2019	82	30	29	0	5	4	6	8	237	244	-7	41	15	16	0	2	2	4	2	120	125	-5	41	15	13	0	3	2	2	6	117	119	-2	74	237	375	612	1	2	0	44	79	103	2528	0	650	870	956	2610	797	890	1636	228	54	23.68%	215	43	80.00%	3	1029	2016	51.04%	988	2070	47.73%	581	1185	49.03%	1630	869	1807	781	1563	782
2020	82	29	35	0	2	2	8	6	235	267	-32	41	17	16	0	1	0	4	3	130	135	-5	41	12	19	0	1	2	4	3	105	132	-27	64	235	368	603	0	0	0	59	77	89	2572	0	742	989	811	2605	904	1153	1730	237	46	19.41%	231	42	81.82%	1	1076	2088	51.53%	1052	2089	50.36%	667	1278	52.19%	1651	889	1806	775	1539	769
2021	82	27	42	0	4	2	2	5	210	255	-45	41	14	20	0	1	1	1	4	112	126	-14	41	13	22	0	3	1	1	1	98	129	-31	64	210	380	590	2	3	0	64	80	60	2318	0	778	782	731	2562	766	1189	1884	424	74	17.45%	480	84	82.50%	3	1524	2860	53.29%	1444	3163	45.65%	645	1255	51.39%	1853	1243	2079	632	1036	506
2022	82	21	48	0	7	0	4	2	217	265	-48	41	11	21	0	5	0	3	1	121	138	-17	41	10	27	0	2	0	1	1	96	127	-31	56	217	386	603	3	3	0	68	65	73	2302	0	768	733	772	2777	789	1057	1937	435	64	14.71%	443	88	80.14%	3	1415	2919	48.48%	1478	3276	45.12%	593	1275	46.51%	1847	1237	2083	632	1029	502
2023	82	26	46	0	1	1	4	4	220	323	-103	41	14	21	0	1	1	2	2	111	154	-43	41	12	25	0	0	0	2	2	109	169	-60	55	220	385	605	2	3	0	84	70	61	2422	0	809	762	831	3007	845	1268	2002	434	84	19.35%	520	121	76.73%	2	1534	3001	51.12%	1605	3417	46.97%	686	1351	50.78%	1734	1126	2204	649	1027	490
2024	82	12	56	0	2	2	3	7	215	369	-154	41	9	24	0	1	1	1	5	111	163	-52	41	3	32	0	1	1	2	2	104	206	-102	43	215	380	595	3	2	0	75	67	68	2165	0	705	689	744	3159	873	1284	2042	374	82	21.93%	557	139	75.04%	6	1246	2733	45.59%	1522	3457	44.03%	593	1399	42.39%	1709	1103	2224	653	1048	490
2025	82	12	61	0	0	3	2	4	181	363	-182	41	4	31	0	0	3	1	2	88	188	-100	41	8	30	0	0	0	1	2	93	175	-82	35	181	320	501	2	1	0	55	60	64	2132	0	698	681	742	3133	902	1401	2194	374	52	13.90%	604	152	74.83%	4	1062	2662	39.89%	1333	3484	38.26%	539	1313	41.05%	1747	1136	2171	642	1038	485
2026	82	24	50	0	0	2	6	0	257	362	-105	41	18	18	0	0	2	3	0	140	158	-18	41	6	32	0	0	0	3	0	117	204	-87	62	257	451	708	1	1	0	95	86	70	2336	0	770	766	793	3104	902	1420	2123	369	75	20.33%	597	164	72.53%	4	1242	2810	44.20%	1368	3455	39.59%	601	1415	42.47%	1753	1156	2182	632	1019	477
2027	82	16	50	0	5	2	4	5	233	363	-130	41	7	28	0	2	2	0	2	113	189	-76	41	9	22	0	3	0	4	3	120	174	-54	57	233	411	644	1	0	0	82	79	63	2314	0	822	734	733	2943	822	1203	2095	403	87	21.59%	516	143	72.29%	6	1100	2819	39.02%	1266	3162	40.04%	522	1403	37.21%	1789	1181	2144	641	1044	497
2030	82	35	30	0	5	3	4	5	280	256	24	41	21	11	0	3	0	3	3	155	123	32	41	14	19	0	2	3	1	2	125	133	-8	96	280	494	774	2	1	0	91	100	80	2807	0	859	973	937	2436	721	974	1841	443	101	22.80%	416	83	80.05%	6	1677	3227	51.97%	1530	2943	51.99%	628	1303	48.20%	1947	1317	1979	631	1053	523
2031	82	39	24	0	3	2	6	8	292	249	43	41	23	10	0	1	2	2	3	139	103	36	41	16	14	0	2	0	4	5	153	146	7	106	292	520	812	0	0	0	102	94	87	2775	0	855	925	954	2489	778	1056	1828	425	100	23.53%	426	80	81.22%	1	1668	3191	52.27%	1543	3043	50.71%	648	1301	49.81%	2025	1394	1939	618	1036	520
2032	82	41	24	0	3	3	7	4	270	217	53	41	22	11	0	1	1	5	1	128	98	30	41	19	13	0	2	2	2	3	142	119	23	109	270	469	739	1	7	0	98	81	81	2593	0	801	881	879	2277	670	843	1742	404	71	17.57%	347	48	86.17%	4	1578	3035	51.99%	1435	2767	51.86%	667	1289	51.75%	2135	1496	1818	599	1033	536
2033	82	55	17	0	3	4	2	1	344	211	133	41	29	7	0	1	2	2	0	189	107	82	41	26	10	0	2	2	0	1	155	104	51	125	344	620	964	1	4	0	131	105	103	2815	0	933	931	933	2194	609	775	1676	439	97	22.10%	314	60	80.89%	4	1696	3167	53.55%	1408	2650	53.13%	683	1302	52.46%	2195	1559	1729	579	1031	546
2034	82	43	26	0	3	4	3	3	295	239	56	41	23	12	0	1	2	2	1	144	102	42	41	20	14	0	2	2	1	2	151	137	14	105	295	523	818	0	4	0	116	87	86	2809	0	917	918	944	2422	653	979	1779	425	91	21.41%	406	56	86.21%	10	1737	3143	55.27%	1542	2884	53.47%	716	1339	53.47%	2034	1403	1884	613	1040	526
2035	82	35	33	0	4	4	4	2	267	254	13	41	19	15	0	3	1	2	1	145	126	19	41	16	18	0	1	3	2	1	122	128	-6	92	267	482	749	1	4	0	115	82	62	2632	0	906	914	792	2645	778	1036	1794	389	58	14.91%	414	70	83.09%	5	1631	3003	54.31%	1463	3079	47.52%	678	1311	51.72%	1988	1370	1952	601	1027	514
2036	82	33	31	0	5	7	4	2	290	279	11	41	17	18	0	0	4	1	1	143	136	7	41	16	13	0	5	3	3	1	147	143	4	93	290	504	794	0	3	0	109	94	78	2695	0	869	939	849	2550	779	1028	1672	444	93	20.95%	422	75	82.23%	6	1603	3026	52.97%	1493	2910	51.31%	673	1334	50.45%	2016	1396	1933	610	1031	514
2037	82	47	21	0	7	3	1	3	341	263	78	41	23	14	0	2	1	0	1	173	138	35	41	24	7	0	5	2	1	2	168	125	43	116	341	601	942	3	2	133	102	98	8	2727	898	906	889	56	2563	763	913	1780	436	102	23.39%	395	82	79.24%	6	1507	2958	50.95%	1406	3019	46.57%	649	1282	50.62%	2046	1438	1899	592	1014	520
2038	82	55	21	0	1	1	4	0	353	220	133	41	23	15	0	1	0	2	0	162	120	42	41	32	6	0	0	1	2	0	191	100	91	121	353	619	972	2	6	143	97	108	7	3047	1052	982	991	39	2487	680	917	1776	454	105	23.13%	395	69	82.53%	4	1780	3304	53.87%	1507	2925	51.52%	740	1357	54.53%	2083	1455	1836	600	1027	528
2039	82	41	30	0	3	4	2	2	282	260	22	41	21	14	0	1	2	2	1	144	126	18	41	20	16	0	2	2	0	1	138	134	4	98	282	505	787	2	0	109	97	71	5	2756	891	959	887	30	2487	730	955	1891	393	84	21.37%	396	73	81.57%	4	1625	3051	53.26%	1468	2927	50.15%	687	1282	53.59%	1995	1382	1924	609	1031	518
Total Saison régulière	1722	684	748	0	67	60	85	78	5506	5743	-237	861	357	364	0	28	32	44	36	2799	2809	-10	861	327	384	0	39	28	41	42	2707	2934	-227	1712	5506	9571	15077	28	50	385	1800	1775	1414	53839	2841	17294	18082	15181	55469	16379	22737	39436	8047	1614	20.06%	8612	1764	79.52%	94	29676	58944	50.35%	28844	60822	47.42%	13572	27695	49.01%	39646	26083	41186	13702	23739	11771
Séries éliminatoires
2019	7	3	4	0	0	0	0	0	19	21	-2	3	1	2	0	0	0	0	0	9	12	-3	4	2	2	0	0	0	0	0	10	9	1	6	19	32	51	0	0	0	4	7	7	197	0	47	81	60	248	69	56	144	13	5	38.46%	15	1	93.33%	1	81	161	50.31%	95	192	49.48%	45	95	47.37%	135	68	171	72	144	72
2030	13	7	6	0	0	0	0	0	36	36	0	6	4	2	0	0	0	0	0	19	17	2	7	3	4	0	0	0	0	0	17	19	-2	14	36	66	102	0	1	0	10	12	14	371	0	110	109	142	446	140	185	330	71	15	21.13%	80	12	85.00%	0	219	498	43.98%	279	539	51.76%	88	210	41.90%	289	187	347	104	172	83
2031	18	10	8	0	0	0	0	0	60	61	-1	9	4	5	0	0	0	0	0	29	36	-7	9	6	3	0	0	0	0	0	31	25	6	20	60	102	162	0	0	0	20	19	19	581	0	195	178	191	585	166	201	404	89	24	26.97%	86	16	81.40%	1	308	664	46.39%	313	676	46.30%	170	308	55.19%	435	296	449	136	233	117
2032	15	10	5	0	0	0	0	0	64	39	25	8	4	4	0	0	0	0	0	36	26	10	7	6	1	0	0	0	0	0	28	13	15	20	64	116	180	0	0	0	25	25	14	509	0	159	162	153	431	115	141	320	96	15	15.63%	64	13	79.69%	0	302	600	50.33%	272	568	47.89%	135	268	50.37%	412	289	350	115	195	105
2033	11	6	5	0	0	0	0	0	43	33	10	6	3	3	0	0	0	0	0	22	17	5	5	3	2	0	0	0	0	0	21	16	5	12	43	80	123	0	0	0	13	21	8	411	0	118	151	130	323	104	111	244	68	13	19.12%	45	7	84.44%	0	239	482	49.59%	184	370	49.73%	88	188	46.81%	303	211	241	82	142	74
2034	5	1	4	0	0	0	0	0	18	20	-2	3	0	3	0	0	0	0	0	8	12	-4	2	1	1	0	0	0	0	0	10	8	2	2	18	32	50	0	0	0	4	8	6	158	0	39	62	57	172	55	60	113	26	7	26.92%	29	7	75.86%	1	102	186	54.84%	101	185	54.59%	47	92	51.09%	120	82	113	36	65	32
2035	6	2	4	0	0	0	0	0	17	19	-2	3	2	1	0	0	0	0	0	11	9	2	3	0	3	0	0	0	0	0	6	10	-4	4	17	28	45	1	0	0	6	5	6	185	0	58	66	55	180	60	82	154	24	5	20.83%	33	6	81.82%	1	116	230	50.43%	114	231	49.35%	53	103	51.46%	139	93	154	45	75	36
2036	5	1	4	0	0	0	0	0	13	16	-3	2	0	2	0	0	0	0	0	4	7	-3	3	1	2	0	0	0	0	0	9	9	0	2	13	24	37	0	0	0	3	8	2	145	0	49	56	38	183	69	58	99	17	2	11.76%	29	5	82.76%	0	77	166	46.39%	94	195	48.21%	40	85	47.06%	113	76	127	37	62	30
2037	15	11	4	0	0	0	0	0	59	51	8	7	5	2	0	0	0	0	0	31	27	4	8	6	2	0	0	0	0	0	28	24	4	22	59	106	165	0	0	19	23	15	2	537	187	196	146	8	502	151	163	326	88	15	17.05%	58	9	84.48%	1	275	576	47.74%	253	557	45.42%	119	255	46.67%	382	269	343	109	187	94
2038	24	16	8	0	0	0	0	0	112	97	15	13	8	5	0	0	0	0	0	60	55	5	11	8	3	0	0	0	0	0	52	42	10	32	112	198	310	0	0	40	31	40	1	848	263	284	288	13	776	220	316	515	136	38	27.94%	131	35	73.28%	0	505	932	54.18%	428	874	48.97%	238	433	54.97%	585	404	574	177	303	153
2039	17	9	8	0	0	0	0	0	46	48	-2	9	3	6	0	0	0	0	0	19	27	-8	8	6	2	0	0	0	0	0	27	21	6	18	46	81	127	1	0	10	19	16	1	461	144	154	158	5	544	176	220	358	85	15	17.65%	91	19	79.12%	0	279	574	48.61%	307	653	47.01%	113	234	48.29%	394	265	425	133	213	105
Total Séries éliminatoires	136	76	60	0	0	0	0	0	487	441	46	69	34	35	0	0	0	0	0	248	245	3	67	42	25	0	0	0	0	0	239	196	43	152	487	865	1352	2	1	69	158	176	80	4403	594	1409	1457	852	4390	1325	1593	3007	713	154	21.60%	661	130	80.33%	5	2503	5069	49.38%	2440	5040	48.41%	1136	2271	50.02%	3313	2246	3299	1052	1796	906

Blues 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	PKA	PKP	PKS	GW	GT	FO%	P/20
1	Sam Reinhart	80	45	42	87	5	23	69	177	304	14.80%	25	1733	21.67	13	18	31	63	0	0	4	9	2	49.23%	1.00
2	Zach Hyman	58	24	40	64	5	32	85	58	229	10.48%	9	1309	22.57	9	16	25	60	0	0	2	4	2	32.39%	0.98
3	Nick Schmaltz	72	18	42	60	9	17	12	165	188	9.57%	14	1408	19.57	5	12	17	36	1	1	3	6	1	50.47%	0.85
4	Claude Giroux	37	19	37	56	5	8	28	121	116	16.38%	16	853	23.06	7	16	23	29	0	0	2	4	2	56.36%	1.31
5	Brad Marchand	56	18	32	50	-1	48	139	84	175	10.29%	13	1191	21.28	6	12	18	52	1	1	3	4	0	28.57%	0.84

Blues 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	John Gibson	55	31	18	6	0.905	2.90	3395	0	1	164	1718	0	3	0
2	Ilya Sorokin	41	25	13	3	0.892	3.41	2465	8	0	140	1300	0	2	1
3	Connor Hellebuyck	15	11	3	0	0.899	3.22	858	0	0	46	457	0	0	0
4	Devan Dubnyk	7	3	2	2	0.915	2.79	451	0	0	21	248	108	1	0
5	Juuse Saros	11	3	5	3	0.906	3.04	672	0	0	34	362	0	0	1