Accueil
Formation
Statistiques joueurs
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Blessure / Suspension

Centre de jeu
	BLUES 4-2-1, 9pts	4	Sommaire du match	3	SENATORS 7-0-1, 15pts

Team Stats
W1	Séquence	W1
1-1-0	Fiche domicile	3-0-1
3-1-1	Fiche visiteur	4-0-0
4-2-1	Derniers 10 matchs	7-0-1
3.43	Buts par match	3.38
3.57	Buts contre par match	1.50
18.52%	Pourcentage en avantage numérique	31.25%
77.50%	Pourcentage en désavantage numérique	94.29%

BLUES
4-2-1, 9pts

Sommaire du match

WILD
4-3-1, 9pts

Team Stats
W1	Séquence	L1
1-1-0	Fiche domicile	2-1-0
3-1-1	Fiche visiteur	2-2-1
4-2-1	Derniers 10 matchs	4-3-1
3.43	Buts par match	3.00
3.57	Buts contre par match	2.88
18.52%	Pourcentage en avantage numérique	12.20%
77.50%	Pourcentage en désavantage numérique	75.86%

BLUES
4-2-1, 9pts

Jour 19

PREDATORS
2-4-1, 5pts

Statistiques d’équipe
W1	Séquence	W2
1-1-0	Fiche domicile	2-2-0
3-1-1	Fiche visiteur	0-2-1
4-2-1	10 derniers matchs	2-4-1
3.43	Buts par match	2.14
3.57	Buts contre par match	2.14
18.52%	Pourcentage en avantage numérique	14.29%
77.50%	Pourcentage en désavantage numérique	85.29%

JETS
2-4-1, 5pts

Jour 22

BLUES
4-2-1, 9pts

Statistiques d’équipe
SOL1	Séquence	W1
1-3-0	Fiche domicile	1-1-0
1-1-1	Fiche visiteur	3-1-1
2-4-1	10 derniers matchs	4-2-1
2.29	Buts par match	3.43
3.43	Buts contre par match	3.43
15.79%	Pourcentage en avantage numérique	18.52%
90.48%	Pourcentage en désavantage numérique	77.50%

GOLDEN KNIGHTS
4-3-2, 10pts

Jour 24

BLUES
4-2-1, 9pts

Statistiques d’équipe
SOL1	Séquence	W1
2-2-1	Fiche domicile	1-1-0
2-1-1	Fiche visiteur	3-1-1
4-3-2	10 derniers matchs	4-2-1
3.33	Buts par match	3.43
3.00	Buts contre par match	3.43
18.75%	Pourcentage en avantage numérique	18.52%
86.21%	Pourcentage en désavantage numérique	77.50%

Meneurs d'équipe
	Buts Connor McDavid 4	Passes Dylan Cozens 5

	Points Connor McDavid 7	Plus/Moins Sam Dickinson 5

	Victoires Philipp Grubauer 3	Pourcentage d’arrêts Philipp Grubauer 0.93

Statistiques d’équipe
Buts pour 24 3.43 GFG	Tirs pour 206 29.43 Avg	Pourcentage en avantage numérique 18.5% 5 GF	Début de zone offensive 40.1%
Buts contre 25 3.57 GAA	Tirs contre 223 31.86 Avg	Pourcentage en désavantage numérique 77.5%% 9 GA	Début de la zone défensive 40.5%

Informations de l'équipe
	Directeur général	Randy Lemay
	Entraîneur	Scott Gordon
	Division	Centrale
	Conférence	Western Conference
	Capitaine	Connor McDavid
	Assistant #1	Filip Forsberg
	Assistant #2	Steven Stamkos
Informations de l’aréna
	Nom	Savis Center
	Capacité	20,000
	Assistance	19,756
	Billets de saison	8,000
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	8
	Limite Contrat	31 / 80
	Espoirs	60
Plafond salarial
	Cap Salarial de la Saison estimé	86,402,680$
	Plafond salarial disponible	9,097,320$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	4,271,890$
	Dépenses annuelles à ce jour	8,404,662$
	Revenus de la saison estimés	85,437,800$
	Dépenses de la saison estimées	77,998,018$
	Compte bancaire actuel	174,108,825$
	Compte bancaire projeté	181,548,607$

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	Connor McDavid (C)	0	X				100.00	65	42	84	99	71	90	99	93	84	97	95	73	77	80	85	0	83	83	0	29	1	12,500,000$
2	Filip Forsberg (A)	0		X			100.00	80	45	87	75	75	79	99	88	35	80	92	71	63	82	87	0	82	77	0	32	5	8,500,000$
3	Steven Stamkos (A)	0	X	X	X		100.00	76	44	80	84	71	77	99	87	85	74	94	68	61	93	99	0	82	77	0	36	3	8,000,000$
4	Dylan Cozens	0	X				100.00	91	56	79	97	78	75	99	88	87	79	85	67	25	70	71	0	83	77	0	25	5	7,100,000$
5	Logan Cooley	0	X				100.00	75	43	84	99	70	76	71	81	79	77	90	74	25	63	63	0	83	75	0	22	1	950,000$
6	Jake DeBrusk	0		X	X		100.00	71	43	94	91	72	74	98	87	38	68	79	73	70	75	80	0	83	74	0	29	6	5,500,000$
7	Morgan Geekie	0		X	X		100.00	79	45	91	76	79	76	98	84	48	78	92	65	25	69	71	0	83	74	0	28	6	5,500,000$
8	Nazem Kadri	0	X	X			100.00	67	42	88	76	68	80	94	86	82	81	72	65	57	88	91	0	82	73	0	36	4	5,600,000$
9	Connor Dewar	0	X	X			100.00	83	54	91	88	67	66	95	63	46	66	71	85	25	66	67	0	82	70	0	27	1	1,100,000$
10	Yanni Gourde	0	X				100.00	79	56	77	74	61	73	99	62	78	68	60	82	63	77	82	0	82	68	0	34	6	2,333,333$
11	Jack Drury	0	X				100.00	67	52	88	76	68	67	99	63	95	66	62	83	25	65	67	0	82	67	0	26	1	1,725,000$
12	Nicholas Robertson	0		X	X		100.00	75	43	95	82	64	63	95	70	41	66	72	70	25	64	65	0	82	67	0	25	1	1,825,000$
13	Braden Schneider	0				X	100.00	85	45	89	78	77	80	99	64	25	54	47	91	25	68	71	0	83	73	0	25	1	2,200,000$
14	Nicolas Hague	0				X	100.00	77	77	78	79	93	78	79	63	25	54	48	86	25	69	72	0	83	72	0	27	4	5,500,000$
15	Shea Theodore	0				X	100.00	55	41	89	78	73	86	90	72	25	69	56	83	74	75	82	0	83	72	0	31	7	7,425,000$
16	Yan Kuznetsov (R)	0				X	100.00	79	45	85	77	78	80	84	62	25	51	49	89	25	50	50	0	82	70	0	24	2	812,500$
17	Sam Dickinson (R)	0				X	100.00	75	44	90	78	76	70	89	65	25	53	47	80	25	53	53	0	82	68	0	20	3	942,500$
18	Emil Lilleberg	0				X	100.00	84	87	67	75	82	72	67	62	25	52	49	83	25	60	61	0	82	68	0	25	2	800,000$
Rayé
1	Ryan Reaves	0			X		100.00	97	99	79	72	85	50	67	62	25	50	57	69	25	85	91	0	73	63	0	39	1	1,350,000$
2	Noah Juulsen	0				X	100.00	85	56	90	70	75	63	69	61	25	52	47	81	25	63	64	0	73	66	0	29	1	900,000$
3	Michael Kesselring	0				X	100.00	69	84	61	75	84	62	56	60	25	45	47	80	25	62	62	0	73	64	0	26	1	1,400,000$
Équipe Mineure
1	Max Jones	0		X	X		100.00	92	78	87	79	82	51	77	63	25	60	66	68	25	66	66	0	80	64	0	28	1	1,000,000$
2	Matej Blumel	0		X	X		100.00	78	73	88	67	73	74	77	65	50	63	64	67	61	45	45	0	80	63	0	26	1	875,000$
3	Skyler Brind'Amour (R)	0	X				100.00	76	73	84	63	73	81	87	59	74	54	60	64	57	44	44	0	80	60	0	27	1	775,000$
4	Bokondji Imama	0			X		100.00	73	83	49	58	83	76	84	48	50	44	47	60	45	47	47	0	80	55	0	30	1	775,000$
5	Cale Fleury	0				X	100.00	87	76	90	72	75	69	48	63	25	48	48	81	25	56	56	0	80	65	0	27	2	890,000$
6	Brendan Smith	0				X	100.00	71	86	79	71	77	56	50	58	25	50	47	79	25	78	81	0	77	64	0	37	1	800,000$

	MOYENNE D’ÉQUIPE						100.00	77	60	83	78	75	72	84	70	47	63	65	75	39	67	69	0	81	69

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	Philipp Grubauer	0	99.00	84	64	65	72	82	77	80	83	80	84	79	69	72	0	80	75	0	34	2	5,900,000$
2	Joseph Woll	0	100.00	69	70	68	83	65	65	78	71	65	69	85	58	59	0	81	68	0	28	3	3,666,667$
Rayé
Équipe Mineure
1	Kaapo Kahkonen	0	100.00	43	51	64	81	49	47	54	52	46	43	30	59	59	0	80	53	0	30	1	1,150,000$
2	Marcus Hogberg	0	100.00	41	50	63	95	47	46	51	49	45	41	30	50	50	0	78	52	0	31	1	775,000$

	MOYENNE D’ÉQUIPE		99.75	59	59	65	83	61	59	66	64	59	59	56	59	60	0	80	62

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Scott Gordon	40	40	40	40	40	40	40	USA	58	1	100,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	P/20	PSG	PSS	S1	S2	S3
1	Connor McDavid	BLUES	C	7	4	3	7	2	0	1	31	27	10	24	14.81%	0	174	24.91	2	0	2	5	22	0	1	1	1	44	1	0	49.06%	267	0.80	1	3	1	0	1
2	Filip Forsberg	BLUES	LW	7	3	3	6	-1	0	10	7	22	8	15	13.64%	3	131	18.79	1	2	3	1	21	0	1	1	1	10	1	1	71.43%	7	0.91	2	2	2	0	0
3	Shea Theodore	BLUES	D	7	1	4	5	0	0	2	7	7	1	4	14.29%	8	168	24.12	1	2	3	6	22	0	0	0	1	36	0	1	0%	0	0.59	0	0	0	0	1
4	Dylan Cozens	BLUES	C	7	0	5	5	1	14	22	14	17	4	13	0%	0	163	23.42	0	2	2	6	22	0	0	0	1	35	0	0	81.25%	16	0.61	1	3	0	0	0
5	Jack Drury	BLUES	C	7	1	3	4	2	0	3	6	6	2	9	16.67%	1	81	11.68	0	0	0	0	0	0	0	0	0	4	0	0	52.44%	82	0.98	0	0	0	0	0
6	Jake DeBrusk	BLUES	LW/RW	7	3	1	4	2	2	1	13	18	9	17	16.67%	1	75	10.82	0	0	0	0	0	0	0	0	0	0	0	0	42.86%	7	1.06	0	0	0	0	1
7	Logan Cooley	BLUES	C	7	1	2	3	2	4	5	14	20	3	18	5.00%	2	147	21.02	0	0	0	3	22	0	0	0	2	23	0	0	60.00%	30	0.41	0	0	0	1	0
8	Sam Dickinson	BLUES	D	7	0	3	3	5	0	6	7	2	0	5	0%	6	107	15.31	0	0	0	0	2	0	0	0	0	12	0	0	0%	0	0.56	0	0	0	0	0
9	Nicolas Hague	BLUES	D	7	1	2	3	-3	14	22	6	9	0	6	11.11%	13	166	23.79	0	1	1	5	20	1	0	1	1	26	0	1	0%	0	0.36	0	0	1	0	0
10	Nazem Kadri	BLUES	C/LW	7	0	3	3	-3	4	2	13	8	5	7	0%	0	130	18.70	0	1	1	3	21	0	0	0	0	16	0	0	45.65%	138	0.46	0	0	0	0	0
11	Morgan Geekie	BLUES	LW/RW	7	1	2	3	2	2	14	6	9	7	15	11.11%	2	74	10.68	0	0	0	0	0	0	0	0	0	0	0	0	80.00%	5	0.80	0	0	0	0	0
12	Yanni Gourde	BLUES	C	7	2	1	3	0	4	5	6	5	0	2	40.00%	0	42	6.10	0	0	0	0	1	0	0	0	0	0	0	1	40.74%	54	1.40	0	0	0	0	0
13	Connor Dewar	BLUES	C/LW	7	2	1	3	0	2	8	4	6	0	6	33.33%	2	38	5.45	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	1.57	0	0	1	1	1
14	Nicholas Robertson	BLUES	LW/RW	7	0	3	3	0	2	1	3	5	0	4	0%	1	38	5.45	0	0	0	0	0	0	0	0	0	0	0	0	0%	2	1.57	0	0	0	0	0
15	Yan Kuznetsov	BLUES	D	7	1	1	2	-3	4	13	7	14	1	2	7.14%	6	161	23.03	0	1	1	7	22	0	0	0	1	27	0	0	0%	0	0.25	0	0	0	0	0
16	Steven Stamkos	BLUES	C/LW/RW	7	2	0	2	-3	8	9	15	22	7	12	9.09%	1	114	16.42	1	0	1	5	21	0	0	0	0	0	0	0	20.00%	5	0.35	0	0	0	0	0
17	Braden Schneider	BLUES	D	7	0	1	1	0	10	24	8	4	3	5	0%	8	173	24.73	0	0	0	3	20	0	0	0	1	32	0	0	0%	0	0.12	0	0	0	0	0
18	Emil Lilleberg	BLUES	D	7	0	0	0	5	16	19	10	5	2	2	0%	9	92	13.24	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				126	22	38	60	8	86	167	177	206	62	166	10.68%	63	2083	16.54	5	9	14	44	224	1	2	3	9	273	2	4	49.43%	613	0.58	4	8	5	2	4

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	GA	SA	PS %	PSA	ST	BG	S2
1	Philipp Grubauer	BLUES	7	3	4	0	0.930	2.43	420	17	242	0	0	7	1	2
2	Joseph Woll	BLUES	6	3	0	1	0.911	2.67	315	14	158	0.400	5	5	2	1
3	Marcus Hogberg	BLUES	3	1	2	0	0.846	5.04	119	10	65	1.000	2	2	5	0
Statistiques d’équipe totales ou en moyenne			16	7	6	1	0.912	2.88	854	41	465		7	14	8	3

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	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	Lien
Braden Schneider	BLUES	D	25	2001-09-20	CAN	No	206 Lbs	6 ft3	No	No	N/A	No	No	1	False	False	Pro & Farm	2,200,000$	2,200,000$	1,985,946$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Connor Dewar	BLUES	C/LW	27	1999-06-26	CAN	No	187 Lbs	5 ft10	No	No	N/A	No	No	1	False	False	Pro & Farm	1,100,000$	1,100,000$	992,973$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Connor McDavid	BLUES	C	29	1997-01-13	CAN	No	194 Lbs	6 ft1	No	No	N/A	No	No	1	False	False	Pro & Farm	12,500,000$	12,500,000$	11,283,784$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Dylan Cozens	BLUES	C	25	2001-02-09	CAN	No	205 Lbs	6 ft3	No	No	N/A	No	No	5	False	False	Pro & Farm	7,100,000$	7,100,000$	6,409,189$	No	7,100,000$	7,100,000$	7,100,000$	7,100,000$	-	-	-	-	-	7,100,000$	7,100,000$	7,100,000$	7,100,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien / Lien NHL
Emil Lilleberg	BLUES	D	25	2001-02-02	NOR	No	215 Lbs	6 ft3	No	No	N/A	No	No	2	False	False	Pro & Farm	800,000$	800,000$	722,162$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Filip Forsberg	BLUES	LW	32	1994-08-13	SWE	No	205 Lbs	6 ft1	No	No	N/A	No	No	5	False	False	Pro & Farm	8,500,000$	8,500,000$	7,672,973$	No	8,500,000$	8,500,000$	8,500,000$	8,500,000$	-	-	-	-	-	8,500,000$	8,500,000$	8,500,000$	8,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien / Lien NHL
Jack Drury	BLUES	C	26	2000-02-03	USA	No	186 Lbs	5 ft11	No	No	N/A	No	No	1	False	False	Pro & Farm	1,725,000$	1,725,000$	1,557,162$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jake DeBrusk	BLUES	LW/RW	29	1996-10-17	CAN	No	198 Lbs	6 ft1	No	No	N/A	No	No	6	False	False	Pro & Farm	5,500,000$	5,500,000$	4,964,865$	No	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$	-	-	-	-	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Lien / Lien NHL
Joseph Woll	BLUES	G	28	1998-07-12	USA	No	212 Lbs	6 ft3	No	No	N/A	No	No	3	False	False	Pro & Farm	3,666,667$	3,666,667$	3,309,910$	No	3,666,667$	3,666,667$	-	-	-	-	-	-	-	3,666,667$	3,666,667$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Logan Cooley	BLUES	C	22	2004-05-04	USA	No	191 Lbs	6 ft0	No	No	N/A	No	No	1	False	False	Pro & Farm	950,000$	950,000$	857,568$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Michael Kesselring	BLUES	D	26	2000-01-13	USA	No	215 Lbs	6 ft5	No	No	N/A	No	No	1	False	False	Pro & Farm	1,400,000$	1,400,000$	1,263,784$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Morgan Geekie	BLUES	LW/RW	28	1998-07-20	CAN	No	212 Lbs	6 ft3	No	No	N/A	No	No	6	False	False	Pro & Farm	5,500,000$	5,500,000$	4,964,865$	No	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$	-	-	-	-	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Lien / Lien NHL
Nazem Kadri	BLUES	C/LW	36	1990-10-06	CAN	No	185 Lbs	6 ft0	No	No	N/A	No	No	4	False	False	Pro & Farm	5,600,000$	5,600,000$	5,055,135$	No	5,600,000$	5,600,000$	5,600,000$	-	-	-	-	-	-	5,600,000$	5,600,000$	5,600,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Nicholas Robertson	BLUES	LW/RW	25	2001-09-11	USA	No	180 Lbs	5 ft9	No	No	N/A	No	No	1	False	False	Pro & Farm	1,825,000$	1,825,000$	1,647,432$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Nicolas Hague	BLUES	D	27	1998-12-05	CAN	No	245 Lbs	6 ft6	No	No	N/A	No	No	4	False	False	Pro & Farm	5,500,000$	5,500,000$	4,964,865$	No	5,500,000$	5,500,000$	5,500,000$	-	-	-	-	-	-	5,500,000$	5,500,000$	5,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Noah Juulsen	BLUES	D	29	1997-04-02	CAN	No	201 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	900,000$	900,000$	812,432$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Philipp Grubauer	BLUES	G	34	1991-11-25	DEU	No	188 Lbs	6 ft1	No	No	N/A	No	No	2	False	False	Pro & Farm	5,900,000$	5,900,000$	5,325,946$	No	5,900,000$	-	-	-	-	-	-	-	-	5,900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Ryan Reaves	BLUES	RW	39	1987-01-20	CAN	No	225 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	1,350,000$	1,350,000$	1,218,649$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Sam Dickinson	BLUES	D	20	2006-06-07	CAN	Yes	200 Lbs	6 ft3	No	No	Assign Manually	No	No	3	False	False	Pro & Farm	942,500$	942,500$	850,797$	No	942,500$	942,500$	-	-	-	-	-	-	-	942,500$	942,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Shea Theodore	BLUES	D	31	1995-08-03	CAN	No	197 Lbs	6 ft2	No	No	N/A	No	No	7	False	False	Pro & Farm	7,425,000$	7,425,000$	6,702,568$	No	7,425,000$	7,425,000$	7,425,000$	7,425,000$	7,425,000$	7,425,000$	-	-	-	7,425,000$	7,425,000$	7,425,000$	7,425,000$	7,425,000$	7,425,000$	-	-	-	No	No	No	No	No	No	-	-	-	Lien / Lien NHL
Steven Stamkos	BLUES	C/LW/RW	36	1990-02-07	CAN	No	193 Lbs	6 ft1	No	No	N/A	No	No	3	False	False	Pro & Farm	8,000,000$	8,000,000$	7,221,622$	No	8,000,000$	8,000,000$	-	-	-	-	-	-	-	8,000,000$	8,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Yan Kuznetsov	BLUES	D	24	2002-03-09	RUS	Yes	209 Lbs	6 ft4	No	No	N/A	No	No	2	False	False	Pro & Farm	812,500$	812,500$	733,446$	No	812,500$	-	-	-	-	-	-	-	-	812,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Yanni Gourde	BLUES	C	34	1991-12-15	CAN	No	173 Lbs	5 ft9	No	No	N/A	No	No	6	False	False	Pro & Farm	2,333,333$	2,333,333$	2,106,306$	No	2,333,333$	2,333,333$	2,333,333$	2,333,333$	2,333,333$	-	-	-	-	2,333,333$	2,333,333$	2,333,333$	2,333,333$	2,333,333$	-	-	-	-	No	No	No	No	No	-	-	-	-	Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	28.57	201 Lbs	6 ft2	2.91	3,979,565$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
91,530,000$	67,580,000$	60,067,500$	47,458,333$	36,358,333$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Dylan Cozens	Connor McDavid	Logan Cooley	40	1	2	2
2	Steven Stamkos	Nazem Kadri	Filip Forsberg	30	1	2	2
3	Morgan Geekie	Jack Drury	Jake DeBrusk	20	1	2	2
4	Connor Dewar	Yanni Gourde	Nicholas Robertson	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Shea Theodore	Braden Schneider	40	1	2	2
2	Nicolas Hague	Yan Kuznetsov	38	1	2	2
3	Emil Lilleberg	Sam Dickinson	18	1	2	2
4	Braden Schneider	Nicolas Hague	4	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Dylan Cozens	Connor McDavid	Logan Cooley	60	1	2	2
2	Steven Stamkos	Nazem Kadri	Filip Forsberg	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Braden Schneider	Nicolas Hague	60	1	2	2
2	Shea Theodore	Yan Kuznetsov	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Connor McDavid	Dylan Cozens	60	1	2	2
2	Logan Cooley	Nazem Kadri	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Braden Schneider	Nicolas Hague	60	1	2	2
2	Shea Theodore	Yan Kuznetsov	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Connor McDavid	60	1	2	2	Braden Schneider	Nicolas Hague	60	1	2	2
2	Dylan Cozens	40	1	2	2	Shea Theodore	Yan Kuznetsov	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Connor McDavid	Dylan Cozens	60	1	2	2
2	Logan Cooley	Filip Forsberg	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Braden Schneider	Nicolas Hague	60	1	2	2
2	Shea Theodore	Yan Kuznetsov	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Filip Forsberg	Connor McDavid	Steven Stamkos	Braden Schneider	Nicolas Hague

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Filip Forsberg	Connor McDavid	Steven Stamkos	Braden Schneider	Nicolas Hague

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Yanni Gourde, Jack Drury, Logan Cooley	Yanni Gourde, Jack Drury	Logan Cooley

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Nicolas Hague, Shea Theodore, Yan Kuznetsov	Shea Theodore	Nicolas Hague, Shea Theodore

Tirs de pénalité
Connor McDavid, Dylan Cozens, Filip Forsberg, Steven Stamkos, Logan Cooley

Gardien
#1 : Philipp Grubauer, #2 : Joseph Woll, #3 : 0

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	RI
1	AVALANCHE	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	4	6	0	0	1	0	1	0	29	15	7	6	3	32	4	16	27	5	1	20.00%	7	1	85.71%	1	110	246	44.72%	136	248	54.84%	57	119	47.90%	23	15	28	8	13	6
2	BLACK HAWKS	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	4	3	1	2	1.000	4	4	8	0	0	0	3	0	2	31	11	14	5	4	28	5	8	19	7	0	0.00%	3	1	66.67%	0	110	246	44.72%	136	248	54.84%	57	119	47.90%	25	17	24	8	14	6
3	BLUE JACKETS	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	0	1	0	39	11	6	22	0	35	8	12	23	4	0	0.00%	6	1	83.33%	0	110	246	44.72%	136	248	54.84%	57	119	47.90%	24	16	23	7	11	5
4	SENATORS	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	4	3	1	2	1.000	4	5	9	0	0	0	2	1	2	26	7	11	5	6	32	11	10	24	2	1	50.00%	5	2	60.00%	0	110	246	44.72%	136	248	54.84%	57	119	47.90%	24	16	28	8	12	5
5	SHARKS	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	3	5	0	0	1	0	1	0	30	7	15	8	0	22	11	6	30	2	0	0.00%	2	0	100.00%	0	110	246	44.72%	136	248	54.84%	57	119	47.90%	22	15	25	7	11	5
6	STARS	1	0	1	0	0	0	0	0	6	8	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	6	8	-2	0	0.000	6	11	17	0	0	2	0	4	0	26	7	5	14	0	44	17	14	21	4	2	50.00%	7	1	85.71%	0	110	246	44.72%	136	248	54.84%	57	119	47.90%	20	13	26	7	13	5
7	WILD	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	7	11	0	0	0	1	3	0	25	7	5	13	0	30	7	20	23	3	1	33.33%	10	3	70.00%	0	110	246	44.72%	136	248	54.84%	57	119	47.90%	18	11	29	8	12	5
	Total	7	2	2	0	0	0	2	1	24	25	-1	2	1	1	0	0	0	0	0	4	5	-1	5	1	1	0	0	0	2	1	20	20	0	9	0.643	24	38	62	0	0	5	6	11	4	206	65	63	73	13	223	63	86	167	27	5	18.52%	40	9	77.50%	1	110	246	44.72%	136	248	54.84%	57	119	47.90%	158	106	186	57	89	41
	_Since Last GM Reset	7	2	2	0	0	0	2	1	24	25	-1	2	1	1	0	0	0	0	0	4	5	-1	5	1	1	0	0	0	2	1	20	20	0	9	0.643	24	38	62	0	0	5	6	11	4	206	65	63	73	13	223	63	86	167	27	5	18.52%	40	9	77.50%	1	110	246	44.72%	136	248	54.84%	57	119	47.90%	158	106	186	57	89	41
	_Vs Conference	5	2	1	0	0	0	1	1	18	18	0	1	1	0	0	0	0	0	0	2	1	1	4	1	1	0	0	0	1	1	16	17	-1	7	0.700	18	29	47	0	0	4	4	9	2	141	47	46	46	7	156	44	64	120	21	4	19.05%	29	6	79.31%	1	110	246	44.72%	136	248	54.84%	57	119	47.90%	110	73	133	41	65	29
	_Vs Division	4	1	1	0	0	0	1	1	16	17	-1	0	0	0	0	0	0	0	0	0	0	0	4	1	1	0	0	0	1	1	16	17	-1	5	0.625	16	26	42	0	0	3	4	8	2	111	40	31	38	7	134	33	58	90	19	4	21.05%	27	6	77.78%	1	110	246	44.72%	136	248	54.84%	57	119	47.90%	87	57	108	33	54	24

			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
7	9	W1	24	38	62	206	223	63	86	167	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	2	2	0	0	2	1	24	25

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	4	5

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	1	0	0	2	1	20	20

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
2	2	0	0	2	1

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
27	5	18.52%	40	9	77.50%	1

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
65	63	73	13	5	6	11	4

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
110	246	44.72%	136	248	54.84%	57	119	47.90%

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
158	106	186	57	89	41

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	Lien
4	17	BLUES	6	STARS	8	L			Sommaire du match
5	25	BLUES	2	AVALANCHE	3	L	X	X	Sommaire du match
8	44	BLUES	4	BLACK HAWKS	3	W	X	X	Sommaire du match
10	64	SHARKS	1	BLUES	2	W			Sommaire du match
12	82	BLUE JACKETS	4	BLUES	2	L			Sommaire du match
15	99	BLUES	4	SENATORS	3	W	X	X	Sommaire du match
17	116	BLUES	4	WILD	3	W			Sommaire du match
19	128	BLUES	-	PREDATORS	-
22	141	JETS	-	BLUES	-
24	165	GOLDEN KNIGHTS	-	BLUES	-
26	175	HURRICANES	-	BLUES	-
29	188	CANADIENS	-	BLUES	-
31	213	BRUINS	-	BLUES	-
33	221	BLUES	-	RED WINGS	-
36	243	BLUES	-	RANGERS	-
38	256	BLUES	-	DEVILS	-
40	270	BLUES	-	PREDATORS	-
43	290	RED WINGS	-	BLUES	-
45	300	BLUES	-	MAMMOTH	-
47	324	PANTHERS	-	BLUES	-
50	333	DUCKS	-	BLUES	-
52	354	BLUES	-	PENGUINS	-
53	368	DEVILS	-	BLUES	-
54	374	OILERS	-	BLUES	-
57	392	BLUES	-	ISLANDERS	-
58	405	STARS	-	BLUES	-
59	422	CAPITALS	-	BLUES	-
63	447	PENGUINS	-	BLUES	-
65	462	BLACK HAWKS	-	BLUES	-
67	477	PREDATORS	-	BLUES	-
69	486	AVALANCHE	-	BLUES	-
71	507	BLUES	-	MAMMOTH	-
73	524	BLUES	-	STARS	-
74	530	LIGHTNING	-	BLUES	-
76	541	JETS	-	BLUES	-
78	554	BLUES	-	BRUINS	-
80	570	BLUES	-	CAPITALS	-
82	585	BLUES	-	PANTHERS	-
83	590	BLUES	-	LIGHTNING	-
85	616	RANGERS	-	BLUES	-
87	634	BLUES	-	AVALANCHE	-
89	645	BLUES	-	GOLDEN KNIGHTS	-
91	668	BLUES	-	WILD	-
92	671	FLAMES	-	BLUES	-
94	687	BLUES	-	HURRICANES	-
97	704	SENATORS	-	BLUES	-
102	738	BLUES	-	KINGS	-
103	752	BLUES	-	DUCKS	-
105	759	WILD	-	BLUES	-
107	781	BLUES	-	MAPLE LEAFS	-
110	802	BLUES	-	CANADIENS	-
112	815	MAPLE LEAFS	-	BLUES	-
115	844	BLACK HAWKS	-	BLUES	-
117	854	AVALANCHE	-	BLUES	-
119	877	CANUCKS	-	BLUES	-
125	899	KINGS	-	BLUES	-
128	908	BLUES	-	OILERS	-
129	923	BLUES	-	KRAKEN	-
131	934	FLYERS	-	BLUES	-
133	949	BLUES	-	BLACK HAWKS	-
135	965	BLUES	-	JETS	-
137	979	MAMMOTH	-	BLUES	-
141	1004	CANUCKS	-	BLUES	-
143	1021	WILD	-	BLUES	-
144	1032	STARS	-	BLUES	-
148	1059	BLUES	-	SABRES	-
151	1088	BLUES	-	FLYERS	-
153	1098	PREDATORS	-	BLUES	-
155	1109	SHARKS	-	BLUES	-
157	1122	DUCKS	-	BLUES	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
159	1141	BLUES	-	KRAKEN	-
162	1168	BLUES	-	OILERS	-
164	1176	BLUES	-	CANUCKS	-
165	1188	BLUES	-	FLAMES	-
167	1202	BLUES	-	JETS	-
169	1213	ISLANDERS	-	BLUES	-
171	1229	BLUES	-	BLUE JACKETS	-
172	1242	SABRES	-	BLUES	-
176	1267	FLAMES	-	BLUES	-
178	1285	BLUES	-	KINGS	-
179	1293	BLUES	-	SHARKS	-
181	1305	BLUES	-	GOLDEN KNIGHTS	-
183	1320	KRAKEN	-	BLUES	-
185	1342	MAMMOTH	-	BLUES	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	8000	5000	2000	4000	1000
Prix des billets	100	60	35	20	200
Assistance	15,728	10,000	3,904	7,880	2,000
Attendance PCT	98.30%	100.00%	97.60%	98.50%	100.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité de l’aréna	Popularité de l’équipe
40	19756 - 98.78%	2,135,945$	4,271,890$	20000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
8,404,662$	86,405,000$	86,405,000$	100,000$0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
467,054$	8,404,662$	0$	23	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
85,437,800$	167	467,054$	77,998,018$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
77,998,018$	174,108,825$	181,548,607$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
86,402,680$	9,097,320$	95,500,000$	15,802,680$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Filip Forsberg	AGE:32	PO:0	OV:77
Steven Stamkos	AGE:36	PO:0	OV:77
Jake DeBrusk	AGE:29	PO:0	OV:74
Morgan Geekie	AGE:28	PO:0	OV:74
Nazem Kadri	AGE:36	PO:0	OV:73
Connor Dewar	AGE:27	PO:0	OV:70
Nicholas Robertson	AGE:25	PO:0	OV:67
Max Jones	AGE:28	PO:0	OV:64
Matej Blumel	AGE:26	PO:0	OV:63

Connor McDavid	AGE:29	PO:0	OV:83
Steven Stamkos	AGE:36	PO:0	OV:77
Dylan Cozens	AGE:25	PO:0	OV:77
Logan Cooley	AGE:22	PO:0	OV:75
Nazem Kadri	AGE:36	PO:0	OV:73
Connor Dewar	AGE:27	PO:0	OV:70
Yanni Gourde	AGE:34	PO:0	OV:68
Jack Drury	AGE:26	PO:0	OV:67
Skyler Brind'Amour (R)	AGE:27	PO:0	OV:60

Steven Stamkos	AGE:36	PO:0	OV:77
Jake DeBrusk	AGE:29	PO:0	OV:74
Morgan Geekie	AGE:28	PO:0	OV:74
Nicholas Robertson	AGE:25	PO:0	OV:67
Max Jones	AGE:28	PO:0	OV:64
Ryan Reaves	AGE:39	PO:0	OV:63
Matej Blumel	AGE:26	PO:0	OV:63
Bokondji Imama	AGE:30	PO:0	OV:55

Défense #1

Défense #2

Gardien

Braden Schneider	AGE:25	PO:0	OV:73
Nicolas Hague	AGE:27	PO:0	OV:72
Shea Theodore	AGE:31	PO:0	OV:72
Yan Kuznetsov (R)	AGE:24	PO:0	OV:70
Sam Dickinson (R)	AGE:20	PO:0	OV:68

Emil Lilleberg	AGE:25	PO:0	OV:68
Noah Juulsen	AGE:29	PO:0	OV:66
Cale Fleury	AGE:27	PO:0	OV:65
Brendan Smith	AGE:37	PO:0	OV:64
Michael Kesselring	AGE:26	PO:0	OV:64

Philipp Grubauer	AGE:34	PO:0	OV:75
Joseph Woll	AGE:28	PO:0	OV:68
Kaapo Kahkonen	AGE:30	PO:0	OV:53
Marcus Hogberg	AGE:31	PO:0	OV:52

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	Lien
1 ballo STL	BLUES	0
2 ballo STL	BLUES	0
Alan Shaikhislamov	BLUES	0
Aleksanteri Kaskimaki	BLUES	0
Aleksi Heponiemi	BLUES	0	Lien
Alex Biega	BLUES	0	Lien
Alexander Radulov	BLUES	0	Lien
Alexandre Blais	BLUES	0
Alexandre Fortin	BLUES	0	Lien
Andrew Ladd	BLUES	0	Lien
Anton Emil Wilde Larsen	BLUES	0
Arttu Ruotsalainen	BLUES	0
Austin Czarnik	BLUES	0	Lien
Axel Bergkvist	BLUES	2019
Benjamin Gaudreau	BLUES	0
Benjamin Kevan	BLUES	0
Brian Zanetti	BLUES	0
Carter Hutton	BLUES	0	Lien
Carter Klippenstein	BLUES	0
Carter Stevens	BLUES	0
Charlie Elick	BLUES	0
Daniil Chayka	BLUES	0	Lien
Danny DeKeyser	BLUES	0	Lien
David Reinbacher	BLUES	0
Denis Malgin	BLUES	0	Lien
Egor Sokolov	BLUES	0	Lien
Gianni Fairbrother	BLUES	2019
Gustav Lindstrom	BLUES	0	Lien
Gustav Sjöqvist	BLUES	0
Harry Nansi	BLUES	0
Ivan Patrikhayev	BLUES	0
Jack Adams	BLUES	2017
Jordan Gustafsson	BLUES	0
Josh Bloom	BLUES	0	Lien
Juuso Riikola	BLUES	0	Lien
Kim Nousiainen	BLUES	2019
Luke Prokop	BLUES	2020
Mackenzie Skapski	BLUES	0
Mark Shoemaker	BLUES	0
Matt Irwin	BLUES	0	Lien
Matvei Kotkov	BLUES	0
Michael Hrabal	BLUES	0
Milon Gastrin	BLUES	0
Nicholas Kempf	BLUES	0
Nikita Artomonov	BLUES	0
Niklas Aaram-Olsen	BLUES	0
Noah Laberge	BLUES	0
Nolan Foote	BLUES	0	Lien
Oliver Suvanto	BLUES	0
Patrick Geary	BLUES	0
Philip Svedeback	BLUES	0
Radim Mrtka	BLUES	0
Rasmus Kupari	BLUES	0	Lien
Reilly Walsh	BLUES	0	Lien
Roby Jarventie	BLUES	0	Lien
Teddy Mutryn	BLUES	0
Travis Barron	BLUES	0
Vladimir Tkachev	BLUES	0	Lien
Will Butcher	BLUES	0	Lien
Zach Lansard	BLUES	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2027
2028
2029
2030
Choix au repêchage conditionnel

Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.

BLUES Historique de transactions

[2026-09-20 11:24:42] Skyler Brind'Amour has been deleted from BLUES.
[2026-09-20 11:24:27] Skyler Brind'Amour was added to BLUES.
[2026-09-20 11:24:05] Sam Dickinson has been deleted from BLUES.
[2026-09-20 11:23:46] Sam Dickinson was added to BLUES.
[2026-07-26 11:07:00] TRADE : From MAPLE LEAFS to BLUES : Emil Lilleberg (68).
[2026-07-26 11:07:00] TRADE : From BLUES to MAPLE LEAFS : Ryan Graves (66), Y:2027-RND:4-STL.
[2026-07-20 21:35:07] TRADE : From BLUES to DUCKS : Jack St. Ivany (66), Ben Meyers (66), Y:2027-RND:2-STL.
[2026-07-20 21:35:07] TRADE : From DUCKS to BLUES : Yanni Gourde (68), Matej Blumel (63).
[2026-07-14 11:37:34] Ivan Patrikhayev has been added to BLUES.
[2026-07-12 10:36:12] Carter Stevens has been added to BLUES.
[2026-07-12 10:35:56] Anton Emil Wilde Larsen has been added to BLUES.
[2026-07-12 10:22:29] Matvei Kotkov has been added to BLUES.
[2026-07-08 14:44:20] Zach Lansard has been added to BLUES.
[2026-07-08 14:41:02] Alan Shaikhislamov has been added to BLUES.
[2026-07-07 08:54:54] Niklas Aaram-Olsen has been added to BLUES.
[2026-07-07 08:46:24] Oliver Suvanto has been added to BLUES.
[2026-06-16 15:45:00] Yan Kuznetsov has been deleted from BLUES.
[2026-06-16 15:44:48] Yan Kuznetsov was added to BLUES.
[2026-05-16 14:26:11] BLUES was eliminated at round 2 of year 2025.
[2025-09-12 21:50:43] Marcus Hogberg was added to BLUES.
[2025-09-09 10:29:39] TRADE : From PREDATORS to BLUES : Brendan Smith (65).
[2025-09-09 10:29:39] TRADE : From BLUES to PREDATORS : Matt Martin (61).
[2025-09-09 10:29:01] TRADE : From KRAKEN to BLUES : Y:2026-RND:3-SEA, Y:2027-RND:5-SEA.
[2025-09-09 10:29:01] TRADE : From BLUES to KRAKEN : Kevin Rooney (64), Kailer Yamamoto (65).
[2025-07-24 23:39:42] Gustav Sjöqvist has been added to BLUES.
[2025-07-24 23:23:54] Harry Nansi has been added to BLUES.
[2025-07-24 23:10:22] Noah Laberge has been added to BLUES.
[2025-07-24 23:05:52] Carter Klippenstein has been added to BLUES.
[2025-07-18 17:24:40] Teddy Mutryn has been added to BLUES.
[2025-07-18 08:43:36] Benjamin Kevan has been added to BLUES.
[2025-07-13 22:54:10] Milon Gastrin has been added to BLUES.
[2025-07-13 22:41:54] Radim Mrtka has been added to BLUES.
[2025-04-18 15:55:23] BLUES didn't make playoff for year 2024.
[2024-09-15 19:57:02] Steven Stamkos has been selected as assistant for BLUES.
[2024-09-15 19:57:01] Unknown Player is no longer as assistant for BLUES.
[2024-09-15 19:56:54] Filip Forsberg has been selected as assistant for BLUES.
[2024-09-15 19:56:53] Steven Stamkos is no longer as assistant for BLUES.
[2024-09-15 19:56:47] Steven Stamkos has been selected as assistant for BLUES.
[2024-09-15 19:56:46] Unknown Player is no longer as assistant for BLUES.
[2024-08-11 15:38:10] Kevin Rooney was added to BLUES.
[2024-08-11 15:24:03] TRADE : From PENGUINS to BLUES : Yan Kuznetsov (P).
[2024-08-11 15:24:03] TRADE : From BLUES to PENGUINS : Philipp Grubauer (65), Y:2025-RND:6-N.J.
[2024-07-25 11:54:43] John St.Ivany has been deleted from BLUES.
[2024-07-25 11:54:35] Jack St. Ivany was added to BLUES.
[2024-07-19 09:59:22] Patrick Geary has been added to BLUES.
[2024-07-18 08:23:46] TRADE : From BLUES to DEVILS : Y:2024-RND:6-STL, Y:2024-RND:7-STL.
[2024-07-18 08:23:46] TRADE : From DEVILS to BLUES : Y:2025-RND:6-N.J.
[2024-07-17 15:32:43] TRADE : From BLUES to GOLDEN KNIGHTS : Y:2024-RND:5-STL.
[2024-07-17 15:32:43] TRADE : From GOLDEN KNIGHTS to BLUES : Y:2025-RND:5-VGK.
[2024-07-16 18:46:15] Nicholas Kempf has been added to BLUES.
[2024-07-15 14:26:34] Alexandre Blais has been added to BLUES.
[2024-07-15 09:00:52] Charlie Elick has been added to BLUES.
[2024-07-15 08:55:19] Nikita Artomonov has been added to BLUES.
[2024-07-13 12:42:23] Sam Dickinson has been added to BLUES.
[2024-06-21 08:17:30] TRADE : From KRAKEN to BLUES : Jack Drury (64), Nicholas Robertson (64).
[2024-06-21 08:17:30] TRADE : From BLUES to KRAKEN : Marcus Pettersson (73).
[2024-06-13 08:49:10] Will Butcher has been deleted from BLUES.
[2024-06-13 08:49:02] Danill Chayka has been deleted from BLUES.
[2024-06-13 08:48:55] Roby Jarventie has been deleted from BLUES.
[2024-06-13 08:48:51] Reilly Walsh has been deleted from BLUES.
[2024-06-13 08:48:45] Logan Cooley has been deleted from BLUES.
[2024-06-13 08:48:41] Josh Bloom has been deleted from BLUES.
[2024-06-13 08:47:58] Will Butcher was added to BLUES.
[2024-06-13 08:47:50] Josh Bloom was added to BLUES.
[2024-06-13 08:47:28] Daniil Chayka was added to BLUES.
[2024-06-13 08:47:14] Reilly Walsh was added to BLUES.
[2024-06-13 08:46:19] Roby Jarventie was added to BLUES.
[2024-06-13 08:45:46] Logan Cooley was added to BLUES.
[2024-04-19 08:41:32] Thunderbirds didn't make playoff for year 2023.
[2024-04-19 08:41:32] BLUES didn't make playoff for year 2023.
[2023-10-08 16:02:55] Team Name Change : Springfield Thunderbirds changed name to Thunderbirds
[2023-10-04 15:35:33] TRADE : From BLUES to SHARKS : Oskar Lindblom (64).
[2023-10-04 15:34:25] TRADE : From BLUES to GOLDEN KNIGHTS : Zachary Sanford (65).
[2023-08-19 18:00:36] Roland McKeown was released.
[2023-08-19 18:00:36] BLUES paid 0 $ to release Roland McKeown.
[2023-08-19 18:00:23] Vladimir Bobylev has been deleted from BLUES.
[2023-08-19 18:00:17] Stepan Falkovsky has been deleted from BLUES.
[2023-08-19 18:00:12] Sasha Mutala has been deleted from BLUES.
[2023-08-19 18:00:07] Ryan Sproul has been deleted from BLUES.
[2023-08-19 18:00:05] Ryan Mast has been deleted from BLUES.
[2023-08-19 17:59:57] Roman Schmidt has been deleted from BLUES.
[2023-08-19 17:59:44] Rodrigo Abols has been deleted from BLUES.
[2023-08-19 17:59:38] Reece Newkirik has been deleted from BLUES.
[2023-08-19 17:59:33] Oscar Moller has been deleted from BLUES.
[2023-08-19 17:59:30] Mikko Koivu has been deleted from BLUES.
[2023-08-19 17:59:27] Mikkel Boedker has been deleted from BLUES.
[2023-08-19 17:59:22] Markus Granlund has been deleted from BLUES.
[2023-08-19 17:59:19] Mark Barberio has been deleted from BLUES.
[2023-08-19 17:59:13] Manuel Wiederer has been deleted from BLUES.
[2023-08-19 17:59:05] Leo Komarov has been deleted from BLUES.
[2023-08-19 17:58:57] Jacob de La Rose has been deleted from BLUES.
[2023-08-19 17:58:52] Haakon Hanelt has been deleted from BLUES.
[2023-08-19 17:58:47] Greg Meirele has been deleted from BLUES.
[2023-08-19 17:58:42] Gilles Senn has been deleted from BLUES.
[2023-08-19 17:58:34] Gavin White has been deleted from BLUES.
[2023-08-19 17:58:30] Filip Barklund has been deleted from BLUES.
[2023-08-19 17:58:22] Devan Dubnyk has been deleted from BLUES.
[2023-08-19 17:58:16] Brent Seabrook has been deleted from BLUES.
[2023-08-19 17:58:10] Brandon Halverson has been deleted from BLUES.
[2023-08-19 17:58:02] Artem Anisimov has been deleted from BLUES.
[2023-08-19 17:57:56] Alex Dostie has been deleted from BLUES.
[2023-08-19 17:57:44] Adam Smith has been deleted from BLUES.
[2023-07-17 09:43:19] Egor Sokolov was added to BLUES.
[2023-07-17 09:42:58] Yegor Sokolov has been deleted from BLUES.
[2023-07-16 10:13:49] TRADE : From DEVILS to BLUES : Filip Forsberg (74), Kaapo Kahkonen (63).
[2023-07-16 10:13:49] TRADE : From BLUES to DEVILS : Bobby Brink (P), Xavier Bourgault (P), Y:2024-RND:1-TOR.
[2023-07-14 17:05:50] TRADE : From DEVILS to BLUES : Y:2024-RND:6-N.J.
[2023-07-14 17:05:50] TRADE : From BLUES to DEVILS : Y:2025-RND:5-N.J.
[2023-07-14 16:40:32] TRADE : From BLUES to DEVILS : Y:2023-RND:7-MIN.
[2023-07-14 16:40:32] TRADE : From DEVILS to BLUES : Y:2025-RND:5-N.J.
[2023-07-10 08:20:50] Michael Hrabal has been added to BLUES.
[2023-07-07 14:57:22] David Reinbacher has been added to BLUES.
[2023-06-25 19:14:00] TRADE : From BLUES to BLACK HAWKS : Conor Timmins (62), Connor Zary (P).
[2023-06-25 19:14:00] TRADE : From BLACK HAWKS to BLUES : Ryan Graves (73).

Pas de blessure ou de suspension.

BLUES Leaders statistiques des joueurs (saison régulière)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

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

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

BLUES Leaders statistiques des joueurs (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

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	PS %	PSA

	BLUES
	GP: 7 \| W: 4 \| L: 2 \| OTL: 1 \| P: 9 GF: 24 \| GA: 25 \| PP%: 18.52% \| PK%: 77.50% DG: Randy Lemay \| Morale : 82 \| Moyenne d’équipe : 70 Prochains matchs #128 vs PREDATORS