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

Centre de jeu
	Blackhawks 2-2-0, 4pts	1	FINAL	3	Blues 2-0-0, 4pts

Team Stats
W2	Séquence	W2
1-1-0	Fiche domicile	2-0-0
1-1-0	Fiche visiteur	0-0-0
2-2-0	Derniers 10 matchs	2-0-0
4.25	Buts par match	4.00
3.75	Buts contre par match	2.00
22.22%	Pourcentage en avantage numérique	22.22%
83.33%	Pourcentage en désavantage numérique	60.00%

Avalanche
2-1-0, 4pts

FINAL

Blues
2-0-0, 4pts

Team Stats
L1	Séquence	W2
1-0-0	Fiche domicile	2-0-0
1-1-0	Fiche visiteur	0-0-0
2-1-0	Derniers 10 matchs	2-0-0
3.00	Buts par match	4.00
3.00	Buts contre par match	2.00
23.53%	Pourcentage en avantage numérique	22.22%
60.00%	Pourcentage en désavantage numérique	60.00%

Predators
2-2-0, 4pts

Jour 10

Blues
2-0-0, 4pts

Statistiques d’équipe
W1	Séquence	W2
1-1-0	Fiche domicile	2-0-0
1-1-0	Fiche visiteur	0-0-0
2-2-0	10 derniers matchs	2-0-0
3.50	Buts par match	4.00
4.25	Buts contre par match	4.00
15.38%	Pourcentage en avantage numérique	22.22%
72.73%	Pourcentage en désavantage numérique	60.00%

Blues
2-0-0, 4pts

Jour 12

Wild
2-1-0, 4pts

Statistiques d’équipe
W2	Séquence	W2
2-0-0	Fiche domicile	1-1-0
0-0-0	Fiche visiteur	1-0-0
2-0-0	10 derniers matchs	2-1-0
4.00	Buts par match	4.67
2.00	Buts contre par match	4.67
22.22%	Pourcentage en avantage numérique	41.67%
60.00%	Pourcentage en désavantage numérique	73.33%

Jets
0-3-0, 0pts

Jour 14

Blues
2-0-0, 4pts

Statistiques d’équipe
L3	Séquence	W2
0-2-0	Fiche domicile	2-0-0
0-1-0	Fiche visiteur	0-0-0
0-3-0	10 derniers matchs	2-0-0
3.67	Buts par match	4.00
6.00	Buts contre par match	4.00
25.00%	Pourcentage en avantage numérique	22.22%
50.00%	Pourcentage en désavantage numérique	60.00%

Meneurs d'équipe
	Buts Michael Bunting 3	Passes Zach Werenski 3

	Points Michael Bunting 4	Plus/Moins Zach Werenski 4

	Victoires Justus Annunen 1	Pourcentage d’arrêts Justus Annunen 0.963

Statistiques d’équipe
Buts pour 8 4.00 GFG	Tirs pour 82 41.00 Avg	Pourcentage en avantage numérique 22.2% 2 GF	Début de zone offensive 42.0%
Buts contre 4 2.00 GAA	Tirs contre 60 30.00 Avg	Pourcentage en désavantage numérique 60.0%% 2 GA	Début de la zone défensive 33.3%

Informations de l'équipe
	Directeur général	Rico
	Entraîneur	Dan Muse
	Division	Central Division
	Conférence	Western Conference
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Enterprise Center
	Capacité	19,500
	Assistance	16,671
	Billets de saison	7,800
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	27
	Limite contact	50 / 65
	Espoirs	19
Plafond salarial
	Cap Salarial de la Saison estimé	68,374,170$
	Plafond salarial disponible	13,625,830$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	2,680,693$
	Dépenses annuelles à ce jour	2,376,509$
	Revenus de la saison estimés	52,273,514$
	Dépenses de la saison estimées	59,842,743$
	Compte bancaire actuel	94,125,364$
	Compte bancaire projeté	90,180,662$

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	Josh Anderson		X	X		100.00	76	54	84	77	85	81	94	73	63	67	71	81	65	60	63	0	99	0	0	30	2	2,100,000$
2	Corey Perry		X	X		100.00	64	58	88	81	79	78	94	74	62	67	73	66	65	84	79	0	99	0	0	39	1	2,000,000$
3	Mason Appleton	X				100.00	70	50	92	79	74	81	91	73	61	68	69	71	65	55	62	0	99	0	0	28	1	2,650,000$
4	Casey Mittelstadt	X				100.00	63	50	93	85	74	84	94	75	78	72	71	67	66	51	62	0	99	0	0	26	4	3,750,000$
5	Dylan Cozens	X				100.00	80	54	87	86	79	84	95	76	82	75	71	76	65	53	59	0	99	0	0	23	1	3,600,000$
6	Andrei Svechnikov		X	X		100.00	75	52	87	88	76	84	91	78	61	75	75	70	70	51	61	0	99	0	0	24	4	4,949,000$
7	Michael Bunting		X	X		100.00	69	50	87	85	71	82	93	76	61	71	74	67	65	60	57	0	99	0	0	29	1	4,250,000$
8	Tomas Hertl	X				100.00	72	50	93	89	83	84	92	81	85	75	81	70	65	61	67	0	99	0	0	31	1	3,748,500$
9	Yegor Chinakhov		X	X		100.00	73	50	94	85	76	82	79	76	61	71	73	69	65	45	59	0	99	0	0	23	2	2,500,000$
10	Matt Nieto		X	X		100.00	71	50	94	65	71	79	84	68	61	65	65	80	65	63	65	0	99	0	0	32	1	800,000$
11	Brett Howden	X				100.00	73	54	90	85	76	81	94	76	77	70	75	77	65	60	65	0	99	0	0	26	3	2,150,000$
12	Haydn Fleury				X	100.00	71	50	94	76	79	82	81	72	25	69	65	76	65	59	63	0	99	0	0	28	1	1,200,000$
13	Mattias Samuelsson				X	100.00	73	50	92	78	86	86	88	74	25	68	69	83	65	49	59	0	99	0	0	24	1	2,200,000$
14	Connor Murphy				X	100.00	74	54	88	82	81	87	91	76	25	72	65	83	65	59	69	0	99	0	0	31	1	3,100,000$
15	Brandon Carlo				X	100.00	70	52	91	73	84	85	95	70	25	67	65	82	65	59	63	0	99	0	0	28	4	3,750,000$
16	Zach Werenski				X	100.00	62	52	92	95	80	93	94	93	25	91	84	77	65	55	63	0	99	0	0	27	5	6,250,000$
17	Patrik Nemeth				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	73	73	0	99	0	0	32	1	1,900,000$
Rayé
1	Oskar Back	X				100.00	63	50	94	74	77	78	92	71	70	68	66	75	65	55	63	0	97	0	0	24	4	2,000,000$
2	Ryan Reaves		X	X		97.25	84	54	87	62	84	75	81	67	61	65	65	72	65	74	67	0	90	0	0	37	1	735,000$
3	Emil Heineman		X	X		100.00	82	50	92	77	75	78	88	72	61	67	70	72	68	50	60	0	97	0	0	23	1	1,312,500$
4	Sam Lafferty	X				100.00	72	50	91	66	78	76	88	69	68	65	66	70	65	58	65	0	97	0	0	29	1	2,150,000$
Équipe Mineure
1	Nicolas Aube-Kubel		X	X		100.00	74	56	87	64	80	76	81	68	65	65	66	69	65	61	64	0	99	0	0	28	1	800,000$
2	Liam Gorman	X				100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	49	58	0	99	0	0	24	1	771,750$
3	Alexander Campbell	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	57	0	99	0	0	23	1	1,023,750$
4	Kole Lind		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	63	68	0	96	0	0	26	2	2,128,125$
5	Keean Washkurak	X				100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	54	60	0	97	0	0	23	2	826,875$
6	William Stromgren		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	47	58	0	99	0	0	21	2	1,312,500$
7	Elliot Ekefjard		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	57	58	0	99	0	0	22	2	682,500$
8	Mikael Pyyhtia		X	X		100.00	65	50	94	70	67	79	92	69	65	65	67	76	65	49	58	0	99	0	0	23	3	1,250,000$
9	Alexander Gordin	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	40	55	0	99	0	0	23	1	735,000$
10	Nate Danielson	X				100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	40	55	0	97	0	1	20	2	1,500,000$
11	Michael Brandsegg-Nygard (R)		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	44	55	0	99	0	0	19	3	1,500,000$
12	Tanner Howe (R)		X			100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	48	55	0	99	0	0	19	3	1,250,000$
13	Samuel Knazko				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	45	57	0	99	0	0	22	1	1,023,750$
14	Maxwell Gildon				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	54	60	0	91	0	0	25	1	1,074,938$
15	Ole Julian Bjorgvik-Holm				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	48	57	0	99	0	0	22	2	787,500$
16	Ville Ottavainen				X	100.00	73	50	89	63	80	81	92	61	25	62	61	73	65	49	58	0	97	0	0	22	1	1,023,750$
17	Owen Pickering				X	100.00	65	50	93	72	77	81	91	69	25	65	67	74	65	47	58	0	99	0	0	20	4	1,500,000$
18	Elias Pettersson.				X	100.00	72	54	89	71	71	79	90	69	25	65	66	71	65	40	55	0	99	0	0	20	1	975,000$
19	Juha Jaaska		X	X		100.00	62	56	88	69	79	75	92	69	69	70	68	68	65	64	58	0	94	0	0	26	1	700,000$
20	Alex Gagne				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	45	58	0	96	0	0	22	1	735,000$
21	Nikita Novikov				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	45	58	0	96	0	0	21	2	682,500$
22	Vittorio Mancini				X	100.00	71	50	92	80	86	82	88	75	25	69	69	72	65	40	55	0	94	0	1	22	1	650,000$
23	Quinton Burns (R)				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	48	55	0	96	0	0	19	3	975,000$

	MOYENNE D’ÉQUIPE					99.93	67	55	79	70	71	77	82	68	56	66	66	68	63	54	61	0	98	0

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Justus Annunen	100.00	70	81	78	85	73	65	70	67	75	68	73	55	66	0	99	0	0	24	2	1,400,000$
2	Joonas Korpisalo	100.00	72	79	75	81	78	68	74	70	76	73	73	58	68	0	99	0	0	30	2	2,688,000$
Rayé
Équipe Mineure
1	Mads Sogaard	100.00	60	70	70	60	60	60	60	60	60	60	60	50	61	0	99	0	0	24	2	1,050,000$
2	Colten Ellis	100.00	60	70	70	60	60	60	60	60	60	60	60	56	61	0	90	0	0	24	1	866,250$
3	Rasmus Korhonen	100.00	60	70	70	60	60	60	60	60	60	60	60	46	57	0	98	0	0	22	2	866,250$
4	Sergey Murashov	100.00	60	70	70	60	60	60	60	60	60	60	60	42	55	0	98	0	1	20	2	750,000$

	MOYENNE D’ÉQUIPE	100.00	64	73	72	68	65	62	64	63	65	64	64	51	61	0	97	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dan Muse	77	74	74	81	62	67	1	USA	43	2	1,000,000$

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	PKM	GW	FO%	FOT	GA	TA	P/20	S1	S2	S3
1	Michael Bunting	Blues	LW/RW	2	3	1	4	1	0	0	4	3	7	2	6	42.86%	1	35	17.64	1	1	2	1	6	2	0	100.00%	1	0	0	2.27	1	1	0
2	Zach Werenski	Blues	D	2	1	3	4	4	0	0	0	5	12	3	2	8.33%	2	51	25.97	0	0	0	2	6	5	1	0%	0	2	2	1.54	1	0	0
3	Andrei Svechnikov	Blues	LW/RW	2	3	0	3	3	2	0	1	3	12	3	9	25.00%	0	37	18.61	0	0	0	5	6	4	0	33.33%	3	1	1	1.61	0	0	1
4	Tomas Hertl	Blues	C	2	1	1	2	3	0	0	3	3	11	5	3	9.09%	0	45	22.86	1	0	1	2	6	4	1	54.05%	37	2	1	0.87	0	1	0
5	Corey Perry	Blues	LW/RW	2	0	1	1	1	0	0	4	2	3	3	1	0%	1	31	15.97	0	0	0	0	6	0	0	0%	1	2	0	0.63	0	0	0
6	Dylan Cozens	Blues	C	2	0	1	1	1	0	0	3	3	3	4	2	0%	1	35	17.93	0	1	1	1	6	4	0	57.89%	38	0	1	0.56	0	0	0
7	Connor Murphy	Blues	D	2	0	1	1	3	4	0	4	3	1	2	1	0%	5	49	24.61	0	0	0	0	6	3	0	0%	0	0	1	0.41	0	0	0
8	Brandon Carlo	Blues	D	2	0	1	1	2	0	0	4	0	0	2	2	0%	2	37	18.92	0	0	0	0	2	5	0	0%	0	0	0	0.53	0	0	0
9	Patrik Nemeth	Blues	D	2	0	1	1	-1	2	0	3	2	2	0	0	0%	2	29	14.76	0	0	0	0	0	1	0	0%	0	0	2	0.68	0	0	0
10	Brett Howden	Blues	C	2	0	1	1	0	0	0	3	2	11	1	6	0%	0	33	16.82	0	0	0	1	4	2	0	68.75%	16	2	0	0.59	0	0	0
11	Haydn Fleury	Blues	D	2	0	0	0	-1	0	0	2	5	3	2	4	0%	2	32	16.39	0	0	0	0	4	3	0	0%	0	0	1	0	0	0	0
12	Josh Anderson	Blues	LW/RW	2	0	0	0	3	0	0	3	0	3	1	2	0%	2	28	14.49	0	0	0	0	2	1	0	33.33%	3	0	0	0	0	0	0
13	Mason Appleton	Blues	C	2	0	0	0	-1	0	0	2	0	0	0	0	0%	0	15	7.73	0	0	0	0	0	1	0	66.67%	6	0	1	0	0	0	0
14	Casey Mittelstadt	Blues	C	2	0	0	0	0	0	0	0	3	2	0	2	0%	1	22	11.15	0	0	0	0	0	0	0	58.62%	29	1	1	0	0	0	0
15	Mattias Samuelsson	Blues	D	2	0	0	0	1	0	0	0	3	5	0	1	0%	2	37	18.88	0	0	0	0	6	2	0	0%	0	0	3	0	0	0	0
16	Ryan Reaves	Blues	LW/RW	2	0	0	0	1	0	0	1	2	1	1	0	0%	2	19	9.68	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0	0
17	Yegor Chinakhov	Blues	LW/RW	2	0	0	0	0	5	5	2	1	5	2	2	0%	1	23	11.63	0	0	0	0	0	0	0	100.00%	1	1	0	0	0	0	0
18	Matt Nieto	Blues	LW/RW	2	0	0	0	0	0	0	1	3	1	1	0	0%	0	20	10.43	0	0	0	0	0	0	0	0%	2	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				36	8	11	19	20	13	5	40	43	82	32	43	9.76%	24	588	16.36	2	2	4	12	65	43	2	57.25%	138	11	14	0.65	2	2	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 gardien	Nom de l’équipe	GP	W	PCT	GAA	MP	GA	SA	SAR	PS %	ST	BG	S3
1	Justus Annunen	Blues	1	1	0.963	1.00	60	1	27	11	0	1	1	1
2	Joonas Korpisalo	Blues	1	1	0.909	3.00	60	3	33	16	0	1	1	0
Statistiques d’équipe totales ou en moyenne			2	2	0.933	2.00	120	4	60	27		2	2	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	Nom de l’équipe	POS	Âge	Date de naissance	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10
Andrei Svechnikov	Blues	LW/RW	24	2000-03-26	RUS	No	199 Lbs	6 ft3	No	No	N/A	No	No	4		False	False	Pro & Farm	4,949,000$	4,762,747$	5,050,000$	4,859,946$	No	4,242,000$	4,242,000$	3,181,500$	-	-	-	-	-	-	5,050,000$	5,050,000$	5,050,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Brandon Carlo	Blues	D	28	1996-11-26	USA	No	220 Lbs	6 ft5	No	No	N/A	No	No	4		False	False	Pro & Farm	3,750,000$	3,608,871$	3,750,000$	3,608,871$	No	3,750,000$	3,750,000$	3,750,000$	-	-	-	-	-	-	3,750,000$	3,750,000$	3,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Brett Howden (contrat à 1 volet)	Blues	C	26	1998-03-29	CAN	No	201 Lbs	6 ft2	No	No	N/A	No	No	3		False	False	Pro & Farm	2,150,000$	2,069,086$	2,150,000$	2,069,086$	No	2,150,000$	2,150,000$	-	-	-	-	-	-	-	2,150,000$	2,150,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Casey Mittelstadt	Blues	C	26	1998-11-22	USA	No	195 Lbs	6 ft1	No	No	N/A	No	No	4	2025-09-08	False	False	Pro & Farm	3,750,000$	3,608,871$	3,750,000$	3,608,871$	No	3,750,000$	3,750,000$	3,750,000$	-	-	-	-	-	-	3,750,000$	3,750,000$	3,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Connor Murphy	Blues	D	31	1993-03-26	USA	No	212 Lbs	6 ft4	No	No	N/A	No	No	1		False	False	Pro & Farm	3,100,000$	2,983,333$	3,100,000$	2,983,333$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Corey Perry	Blues	LW/RW	39	1985-05-16	CAN	No	208 Lbs	6 ft3	No	No	Free Agent	No	No	1	2025-06-09	False	False	Pro & Farm	2,000,000$	1,924,731$	2,000,000$	1,924,731$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dylan Cozens	Blues	C	23	2001-02-09	CAN	No	207 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	3,600,000$	3,464,516$	3,600,000$	3,464,516$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Emil Heineman	Blues	LW/RW	23	2001-11-16	SWE	No	198 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	1,312,500$	1,263,105$	1,312,500$	1,263,105$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Haydn Fleury (contrat à 1 volet)	Blues	D	28	1996-07-08	CAN	No	207 Lbs	6 ft4	No	No	N/A	No	No	1		False	False	Pro & Farm	1,200,000$	1,154,839$	1,200,000$	1,154,839$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Joonas Korpisalo	Blues	G	30	1994-04-28	FIN	No	199 Lbs	6 ft3	No	No	N/A	No	No	2		False	False	Pro & Farm	2,688,000$	2,586,839$	3,200,000$	3,079,570$	No	2,688,000$	-	-	-	-	-	-	-	-	3,200,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Josh Anderson	Blues	LW/RW	30	1994-05-07	CAN	No	226 Lbs	6 ft3	No	No	Assign Manually	No	No	2	2025-10-26	False	False	Pro & Farm	2,100,000$	2,020,968$	2,100,000$	2,020,968$	No	2,100,000$	-	-	-	-	-	-	-	-	2,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Justus Annunen	Blues	G	24	2000-03-11	FIN	No	210 Lbs	6 ft4	No	No	N/A	No	No	2		False	False	Pro & Farm	1,400,000$	1,347,312$	1,400,000$	1,347,312$	No	1,400,000$	-	-	-	-	-	-	-	-	1,400,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Mason Appleton	Blues	C	28	1996-01-15	USA	No	194 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	2,650,000$	2,550,269$	2,650,000$	2,550,269$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Matt Nieto	Blues	LW/RW	32	1992-11-05	USA	No	189 Lbs	5 ft11	No	No	Free Agent	No	No	1	2025-05-26	False	False	Pro & Farm	800,000$	769,892$	800,000$	769,892$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Mattias Samuelsson	Blues	D	24	2000-03-14	USA	No	227 Lbs	6 ft4	No	No	N/A	No	No	1		False	False	Pro & Farm	2,200,000$	2,117,204$	2,200,000$	2,117,204$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Michael Bunting (contrat à 1 volet)	Blues	LW/RW	29	1995-09-17	CAN	No	186 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	4,250,000$	4,090,054$	4,250,000$	4,090,054$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Oskar Back	Blues	C	24	2000-03-12	SWE	No	202 Lbs	6 ft4	No	No	N/A	No	No	4	2025-09-08	False	False	Pro & Farm	2,000,000$	1,924,731$	2,000,000$	1,924,731$	No	2,000,000$	2,000,000$	2,000,000$	-	-	-	-	-	-	2,000,000$	2,000,000$	2,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Patrik Nemeth	Blues	D	32	1992-02-08	SWE	No	230 Lbs	6 ft4	No	No	N/A	No	No	1		False	False	Pro & Farm	1,900,000$	1,828,495$	1,900,000$	1,828,495$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ryan Reaves	Blues	LW/RW	37	1987-01-20	CAN	No	225 Lbs	6 ft2	No	No	Free Agent	No	No	1	2025-06-09	False	False	Pro & Farm	735,000$	707,339$	735,000$	707,339$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Sam Lafferty	Blues	C	29	1995-03-06	USA	No	205 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	2,150,000$	2,069,086$	2,150,000$	2,069,086$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Tomas Hertl	Blues	C	31	1993-11-12	CZE	No	220 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	3,748,500$	3,607,427$	5,950,000$	5,726,075$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Yegor Chinakhov	Blues	LW/RW	23	2001-02-01	RUS	No	201 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	2,500,000$	2,405,914$	2,500,000$	2,405,914$	No	2,500,000$	-	-	-	-	-	-	-	-	2,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Zach Werenski	Blues	D	27	1997-07-19	USA	No	211 Lbs	6 ft2	No	No	N/A	No	No	5		False	False	Pro & Farm	6,250,000$	6,014,785$	6,250,000$	6,014,785$	No	6,250,000$	6,250,000$	6,250,000$	6,250,000$	-	-	-	-	-	6,250,000$	6,250,000$	6,250,000$	6,250,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	28.17	207 Lbs	6 ft3	1.96	2,660,130$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
61,183,000$	30,830,000$	22,142,000$	18,931,500$	6,250,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Josh Anderson	Tomas Hertl	Andrei Svechnikov	28	1	2	2
2	Corey Perry	Dylan Cozens	Michael Bunting	28	1	2	2
3	Yegor Chinakhov	Brett Howden		25	1	2	2
4	Matt Nieto	Casey Mittelstadt	Tomas Hertl	19	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zach Werenski	Connor Murphy	28	1	2	2
2	Mattias Samuelsson	Brandon Carlo	28	1	2	2
3	Haydn Fleury	Patrik Nemeth	25	1	2	2
4	Zach Werenski	Connor Murphy	19	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Andrei Svechnikov	Tomas Hertl	Corey Perry	50	1	2	2
2	Josh Anderson	Dylan Cozens	Michael Bunting	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zach Werenski	Connor Murphy	50	1	2	2
2	Mattias Samuelsson	Brandon Carlo	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Tomas Hertl	Dylan Cozens	50	1	2	2
2	Andrei Svechnikov	Brett Howden	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zach Werenski	Connor Murphy	50	1	2	2
2	Mattias Samuelsson	Brandon Carlo	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Tomas Hertl	50	1	2	2	Zach Werenski	Connor Murphy	50	1	2	2
2	Dylan Cozens	50	1	2	2	Mattias Samuelsson	Brandon Carlo	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Tomas Hertl	Dylan Cozens	50	1	2	2
2	Andrei Svechnikov	Brett Howden	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zach Werenski	Connor Murphy	50	1	2	2
2	Mattias Samuelsson	Brandon Carlo	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Andrei Svechnikov	Tomas Hertl	Corey Perry	Zach Werenski	Connor Murphy

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Andrei Svechnikov	Tomas Hertl	Corey Perry	Zach Werenski	Connor Murphy

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Mason Appleton, Yegor Chinakhov, Casey Mittelstadt	Mason Appleton, Yegor Chinakhov	Casey Mittelstadt

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Haydn Fleury, Patrik Nemeth, Mattias Samuelsson	Haydn Fleury	Patrik Nemeth, Mattias Samuelsson

Tirs de pénalité
Tomas Hertl, Dylan Cozens, Andrei Svechnikov, Brett Howden, Corey Perry

Gardien
#1 : Joonas Korpisalo, #2 : Justus Annunen

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
1	Avalanche	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	6	11	0	0	1	3	1	0	41	13	11	17	0	33	7	6	18	3	1	33.33%	3	2	33.33%	0	35	58	60.34%	29	46	63.04%	15	34	44.12%	22	13	19	9	17	9
2	Blackhawks	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	2	0	1	0	41	18	12	11	0	27	17	7	22	6	1	16.67%	2	0	100.00%	0	35	58	60.34%	29	46	63.04%	15	34	44.12%	22	13	18	9	18	9
	Total	2	2	0	0	0	0	0	0	8	4	4	2	2	0	0	0	0	0	0	8	4	4	0	0	0	0	0	0	0	0	0	0	0	4	1.000	8	11	19	0	0	3	3	2	0	82	31	23	28	0	60	24	13	40	9	2	22.22%	5	2	60.00%	0	35	58	60.34%	29	46	63.04%	15	34	44.12%	45	27	37	18	36	18
	_Since Last GM Reset	2	2	0	0	0	0	0	0	8	4	4	2	2	0	0	0	0	0	0	8	4	4	0	0	0	0	0	0	0	0	0	0	0	4	1.000	8	11	19	0	0	3	3	2	0	82	31	23	28	0	60	24	13	40	9	2	22.22%	5	2	60.00%	0	35	58	60.34%	29	46	63.04%	15	34	44.12%	45	27	37	18	36	18
	_Vs Conference	2	2	0	0	0	0	0	0	8	4	4	2	2	0	0	0	0	0	0	8	4	4	0	0	0	0	0	0	0	0	0	0	0	4	1.000	8	11	19	0	0	3	3	2	0	82	31	23	28	0	60	24	13	40	9	2	22.22%	5	2	60.00%	0	35	58	60.34%	29	46	63.04%	15	34	44.12%	45	27	37	18	36	18
	_Vs Division	2	2	0	0	0	0	0	0	8	4	4	2	2	0	0	0	0	0	0	8	4	4	0	0	0	0	0	0	0	0	0	0	0	4	1.000	8	11	19	0	0	3	3	2	0	82	31	23	28	0	60	24	13	40	9	2	22.22%	5	2	60.00%	0	35	58	60.34%	29	46	63.04%	15	34	44.12%	45	27	37	18	36	18

			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
2	4	W2	8	11	19	82	60	24	13	40	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	8	4

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	8	4

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
2	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
9	2	22.22%	5	2	60.00%	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
31	23	28	0	3	3	2	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
35	58	60.34%	29	46	63.04%	15	34	44.12%

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
45	27	37	18	36	18

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	Lien
1	6	Blackhawks	1	Blues	3	W	Sommaire du match
6	37	Avalanche	3	Blues	5	W	Sommaire du match
10	67	Predators	-	Blues	-
12	86	Blues	-	Wild	-
14	97	Jets	-	Blues	-
18	128	Wild	-	Blues	-
20	144	Blues	-	Capitals	-
22	161	Mammoth	-	Blues	-
24	176	Blues	-	Ducks	-
26	193	Flames	-	Blues	-
27	199	Blues	-	Stars	-
30	219	Blues	-	Blackhawks	-
31	226	Stars	-	Blues	-
35	257	Predators	-	Blues	-
37	275	Blues	-	Blue Jackets	-
39	289	Flames	-	Blues	-
41	298	Blues	-	Capitals	-
43	319	Golden Knights	-	Blues	-
45	328	Blues	-	Jets	-
48	353	Canucks	-	Blues	-
51	370	Blues	-	Flames	-
53	385	Predators	-	Blues	-
56	404	Blues	-	Maple Leafs	-
57	418	Canucks	-	Blues	-
59	435	Blues	-	Sharks	-
61	449	Kings	-	Blues	-
64	470	Blues	-	Sharks	-
66	481	Penguins	-	Blues	-
68	500	Blues	-	Oilers	-
70	513	Sharks	-	Blues	-
72	528	Blues	-	Jets	-
74	545	Oilers	-	Blues	-
76	559	Blues	-	Canucks	-
79	576	Blues	-	Hurricanes	-
80	583	Jets	-	Blues	-
83	607	Blues	-	Lightning	-
84	614	Rangers	-	Blues	-
87	639	Ducks	-	Blues	-
90	651	Blues	-	Kings	-
93	674	Senators	-	Blues	-
96	697	Blues	-	Mammoth	-
97	706	Jets	-	Blues	-
100	735	Blues	-	Islanders	-
101	738	Panthers	-	Blues	-
104	760	Blues	-	Mammoth	-
106	770	Blues	-	Blackhawks	-
107	776	Oilers	-	Blues	-
111	800	Blues	-	Islanders	-
112	808	Wild	-	Blues	-
116	834	Golden Knights	-	Blues	-
118	848	Blues	-	Stars	-
121	866	Stars	-	Blues	-
123	883	Blues	-	Wild	-
124	896	Blues	-	Golden Knights	-
125	902	Red Wings	-	Blues	-
129	929	Avalanche	-	Blues	-
130	938	Blues	-	Ducks	-
133	960	Blues	-	Predators	-
134	967	Bruins	-	Blues	-
136	979	Blues	-	Sabres	-
138	998	Lightning	-	Blues	-
142	1021	Blues	-	Predators	-
143	1032	Maple Leafs	-	Blues	-
147	1059	Canadiens	-	Blues	-
149	1073	Blues	-	Wild	-
151	1089	Blues	-	Kraken	-
152	1096	Bruins	-	Blues	-
155	1121	Blues	-	Kraken	-
156	1127	Mammoth	-	Blues	-
157	1139	Blues	-	Kings	-
160	1157	Avalanche	-	Blues	-
161	1165	Blues	-	Avalanche	-
163	1183	Blues	-	Penguins	-
164	1188	Blues	-	Avalanche	-
167	1200	Kraken	-	Blues	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171	1225	Blackhawks	-	Blues	-
172	1239	Blues	-	Devils	-
174	1249	Blues	-	Golden Knights	-
177	1261	Blackhawks	-	Blues	-
178	1266	Blues	-	Stars	-
182	1294	Mammoth	-	Blues	-
183	1301	Blues	-	Flyers	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6250	5250	2600	4200	1200
Prix des billets	88	53	32	8	210
Assistance	11,204	8,124	3,802	8,400	1,811
Attendance PCT	89.63%	77.37%	73.12%	100.00%	75.46%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
39	16671 - 85.49%	1,340,347$	2,680,693$	19500	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
2,376,509$	61,183,000$	63,997,500$	1,000,000$0$	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
349,449$	2,482,433$	0$	23	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
52,273,514$	179	334,317$	59,842,743$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
63,062,190$	94,125,364$	90,180,662$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
68,374,170$	13,625,830$	82,000,000$	16,374,170$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Josh Anderson	AGE:30	PO:0	OV:0
Corey Perry	AGE:39	PO:0	OV:0
Nicolas Aube-Kubel	AGE:28	PO:0	OV:0
Alexander Campbell	AGE:23	PO:0	OV:0
Kole Lind	AGE:26	PO:0	OV:0
Andrei Svechnikov	AGE:24	PO:0	OV:0
Ryan Reaves	AGE:37	PO:0	OV:0
Michael Bunting	AGE:29	PO:0	OV:0
Emil Heineman	AGE:23	PO:0	OV:0
Yegor Chinakhov	AGE:23	PO:0	OV:0
Matt Nieto	AGE:32	PO:0	OV:0
William Stromgren	AGE:21	PO:0	OV:0
Elliot Ekefjard	AGE:22	PO:0	OV:0
Mikael Pyyhtia	AGE:23	PO:0	OV:0
Alexander Gordin	AGE:23	PO:0	OV:0
Michael Brandsegg-Nygard (R)	AGE:19	PO:0	OV:0
Tanner Howe (R)	AGE:19	PO:0	OV:0
Juha Jaaska	AGE:26	PO:0	OV:0

Liam Gorman	AGE:24	PO:0	OV:0
Alexander Campbell	AGE:23	PO:0	OV:0
Mason Appleton	AGE:28	PO:0	OV:0
Casey Mittelstadt	AGE:26	PO:0	OV:0
Dylan Cozens	AGE:23	PO:0	OV:0
Oskar Back	AGE:24	PO:0	OV:0
Tomas Hertl	AGE:31	PO:0	OV:0
Keean Washkurak	AGE:23	PO:0	OV:0
Brett Howden	AGE:26	PO:0	OV:0
Sam Lafferty	AGE:29	PO:0	OV:0
Alexander Gordin	AGE:23	PO:0	OV:0
Nate Danielson	AGE:20	PO:0	OV:0

Josh Anderson	AGE:30	PO:0	OV:0
Corey Perry	AGE:39	PO:0	OV:0
Nicolas Aube-Kubel	AGE:28	PO:0	OV:0
Alexander Campbell	AGE:23	PO:0	OV:0
Kole Lind	AGE:26	PO:0	OV:0
Andrei Svechnikov	AGE:24	PO:0	OV:0
Ryan Reaves	AGE:37	PO:0	OV:0
Michael Bunting	AGE:29	PO:0	OV:0
Emil Heineman	AGE:23	PO:0	OV:0
Yegor Chinakhov	AGE:23	PO:0	OV:0
Matt Nieto	AGE:32	PO:0	OV:0
William Stromgren	AGE:21	PO:0	OV:0
Elliot Ekefjard	AGE:22	PO:0	OV:0
Mikael Pyyhtia	AGE:23	PO:0	OV:0
Alexander Gordin	AGE:23	PO:0	OV:0
Michael Brandsegg-Nygard (R)	AGE:19	PO:0	OV:0
Juha Jaaska	AGE:26	PO:0	OV:0

Défense #1

Défense #2

Gardien

Haydn Fleury	AGE:28	PO:0	OV:0
Mattias Samuelsson	AGE:24	PO:0	OV:0
Connor Murphy	AGE:31	PO:0	OV:0
Brandon Carlo	AGE:28	PO:0	OV:0
Zach Werenski	AGE:27	PO:0	OV:0
Patrik Nemeth	AGE:32	PO:0	OV:0
Samuel Knazko	AGE:22	PO:0	OV:0
Maxwell Gildon	AGE:25	PO:0	OV:0

Ole Julian Bjorgvik-Holm	AGE:22	PO:0	OV:0
Alex Gagne	AGE:22	PO:0	OV:0
Ville Ottavainen	AGE:22	PO:0	OV:0
Owen Pickering	AGE:20	PO:0	OV:0
Nikita Novikov	AGE:21	PO:0	OV:0
Elias Pettersson.	AGE:20	PO:0	OV:0
Vittorio Mancini	AGE:22	PO:0	OV:0
Quinton Burns (R)	AGE:19	PO:0	OV:0

Mads Sogaard	AGE:24	PO:0	OV:0
Rasmus Korhonen	AGE:22	PO:0	OV:0
Colten Ellis	AGE:24	PO:0	OV:0
Justus Annunen	AGE:24	PO:0	OV:0
Joonas Korpisalo	AGE:30	PO:0	OV:0
Sergey Murashov	AGE:20	PO:0	OV:0

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	Date de la Dernière Transaction	Lien
Andrew Strathmann	Blues	0	0
Antoine Dorion	Blues	0	0
Arseni Koromyslov	Blues	0	0
Austin Burnevik	Blues	0	0
Benjamin Kindel	Blues	0	0
Carsen Musser	Blues	0	0
Carter Sanderson	Blues	0	0
Heikki Ruohonen	Blues	0	0
Kieren Dervin	Blues	0	0
Larry Keenan	Blues	0	0
Luke Mittelstadt	Blues	0	0
Markus Loponen	Blues	0	0
Mason Beaupit	Blues	0	0
Michael Hrabal	Blues	0	0
Nathan Quinn	Blues	0	0
Ondrej Kos	Blues	0	0
Peyton Kettles	Blues	0	0
Shea Busch	Blues	0	0
Teddy Mutryn	Blues	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2026	STL	STL	STL	STL	STL	STL	STL
2027	STL	STL	STL	STL	STL	STL	STL
2028	STL	STL	STL	STL	STL	STL	STL
2029	STL	STL	STL	STL	STL	STL	STL
2030	STL	STL	STL	STL	STL	STL	STL
Choix au repêchage conditionnel

La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.

Blues Historique de transactions

[30.11.2025 20:13:35] TRADE : From Blues to Panthers : Adam Edstrom.
[16.11.2025 21:36:00] Juha Jaaska was added to Blues.
[02.11.2025 21:34:15] Nathan Quinn has been added to Blues.
[02.11.2025 21:34:15] Carter Sanderson has been added to Blues.
[02.11.2025 21:34:15] Shea Busch has been added to Blues.
[02.11.2025 21:34:15] Teddy Mutryn has been added to Blues.
[02.11.2025 21:34:15] Kieren Dervin has been added to Blues.
[02.11.2025 21:34:15] Peyton Kettles has been added to Blues.
[02.11.2025 21:34:15] Benjamin Kindel has been added to Blues.
[26.10.2025 22:22:02] Josh Anderson was added to Blues.
[13.10.2025 17:22:21] Bulldogs hired Kirk MacDonald for $600,000 for 2 year(s).
[12.10.2025 20:55:26] Blues hired Dan Muse for $1,000,000 for 2 year(s).
[05.09.2025 15:22:14] Oskar Jellvik has been deleted from Blues.
[24.08.2025 12:34:38] Tanner Howe was added to Blues.
[24.08.2025 12:34:31] Quinton Burns was added to Blues.
[24.08.2025 12:34:26] Michael Brandsegg-Nygard was added to Blues.
[09.08.2025 22:31:57] Patrick Maroon was released.
[09.08.2025 22:31:57] Blues paid $0 to release Patrick Maroon.
[09.08.2025 22:31:50] Nicklas Backstrom was released.
[09.08.2025 22:31:50] Blues paid $0 to release Nicklas Backstrom.
[09.08.2025 22:31:45] Evander Kane was released.
[09.08.2025 22:31:45] Blues paid $0 to release Evander Kane.
[09.08.2025 22:31:29] Alex Goligoski was released.
[09.08.2025 22:31:29] Blues paid $0 to release Alex Goligoski.
[09.08.2025 18:28:23] Spencer Carbary contract with Blues has ended.
[09.08.2025 18:28:23] Mike Vellucci contract with Bulldogs has ended.
[23.07.2025 20:19:18] Bulldogs was eliminated at round 1 of year 2024.
[12.07.2025 13:38:45] Blues didn't make playoff for year 2024.
[12.07.2025 12:35:58] New Record for Team's Most Hits (37) in 1 Game for Blues!
[09.06.2025 08:04:24] Patrick Maroon signed with Blues for $750,000 for 1 year(s).
[09.06.2025 08:04:24] Patrick Maroon was added to Blues.
[09.06.2025 08:04:08] Ryan Reaves signed with Blues for $735,000 for 2 year(s).
[09.06.2025 08:04:08] Ryan Reaves was added to Blues.
[09.06.2025 08:03:58] Corey Perry signed with Blues for $2,000,000 for 2 year(s).
[09.06.2025 08:03:58] Corey Perry was added to Blues.
[26.05.2025 08:24:34] Matt Nieto signed with Blues for $800,000 for 2 year(s).
[26.05.2025 08:24:34] Matt Nieto was added to Blues.
[16.05.2025 17:18:32] Nicolas Aube-Kubel signed with Blues for $800,000 for 2 year(s).
[16.05.2025 17:18:32] Nicolas Aube-Kubel was added to Blues.
[27.12.2024 09:01:13] Nicklas Backstrom signed with Blues for $1,300,000 for 1 year(s).
[27.12.2024 09:01:13] Nicklas Backstrom was added to Blues.
[08.09.2024 18:17:39] Antoine Dorion has been added to Blues.
[08.09.2024 18:17:39] Austin Burnevik has been added to Blues.
[08.09.2024 18:17:39] Markus Loponen has been added to Blues.
[08.09.2024 18:17:39] Heikki Ruohonen has been added to Blues.
[08.09.2024 18:17:39] Ondrej Kos has been added to Blues.
[08.09.2024 18:17:39] Tanner Howe has been added to Blues.
[08.09.2024 18:17:39] Michael Brandsegg-Nygard has been added to Blues.
[28.08.2024 11:34:50] Nick Campoli has been deleted from Blues.
[23.08.2024 07:55:14] Nate Danielson has been deleted from Blues.
[23.08.2024 07:55:10] Vittorio Mancini has been deleted from Blues.
[23.08.2024 07:55:05] Sergey Murashov has been deleted from Blues.
[17.08.2024 11:28:52] Kasper Bjorkqvist was released.
[17.08.2024 11:28:52] Blues paid € 0 to release Kasper Bjorkqvist.
[17.08.2024 11:28:49] Gustaf Westlund was released.
[17.08.2024 11:28:49] Blues paid € 0 to release Gustaf Westlund.
[16.08.2024 08:55:04] Sergey Murashov signed with Blues for € 750.000 for 3 year(s).
[16.08.2024 08:55:04] Sergey Murashov was added to Blues.
[16.08.2024 08:54:50] Nate Danielson signed with Blues for € 1.500.000 for 3 year(s).
[16.08.2024 08:54:50] Nate Danielson was added to Blues.
[16.08.2024 08:54:38] Vittorio Mancini signed with Blues for € 650.000 for 2 year(s).
[16.08.2024 08:54:38] Vittorio Mancini was added to Blues.
[13.08.2024 10:34:51] Nolan Stevens was released.
[13.08.2024 10:34:51] Blues paid € 0 to release Nolan Stevens.
[13.08.2024 10:34:43] Eric Comrie was released.
[13.08.2024 10:34:43] Blues paid € 0 to release Eric Comrie.
[13.08.2024 10:34:37] Patrick Brown was released.
[13.08.2024 10:34:37] Blues paid € 0 to release Patrick Brown.
[13.08.2024 10:34:33] Mike Hoffman was released.
[13.08.2024 10:34:33] Blues paid € 0 to release Mike Hoffman.
[13.08.2024 10:34:30] Josh Anderson was released.
[13.08.2024 10:34:30] Blues paid € 0 to release Josh Anderson.
[13.08.2024 10:34:27] Anton Forsberg was released.
[13.08.2024 10:34:27] Blues paid € 0 to release Anton Forsberg.
[13.07.2024 00:24:16] Blues was eliminated at round 1 of year 2023.
[06.07.2024 21:38:50] Bulldogs didn't make playoff for year 2023.
[19.02.2024 22:37:02] TRADE : From Blues to Blue Jackets : Marcus Foligno.
[19.01.2024 18:49:47] Mike Hoffman signed with Blues for € 1.100.000 for 1 year(s).
[19.01.2024 18:49:47] Mike Hoffman was added to Blues.
[19.01.2024 18:49:29] Patrick Brown signed with Blues for € 1.100.000 for 1 year(s) / Option : 1 Way Contract .
[19.01.2024 18:49:29] Patrick Brown was added to Blues.
[08.01.2024 18:45:38] Alex Goligoski signed with Blues for € 1.000.000 for 2 year(s).
[08.01.2024 18:45:38] Alex Goligoski was added to Blues.
[08.01.2024 18:45:26] Patrik Nemeth signed with Blues for € 1.900.000 for 3 year(s).
[08.01.2024 18:45:26] Patrik Nemeth was added to Blues.
[29.12.2023 16:34:32] Haydn Fleury signed with Blues for € 1.200.000 for 3 year(s) / Option : 1 Way Contract .
[29.12.2023 16:34:32] Haydn Fleury was added to Blues.
[27.12.2023 08:17:56] Connor Murphy signed with Blues for € 3.100.000 for 3 year(s).
[27.12.2023 08:17:56] Connor Murphy was added to Blues.

Pas de blessure ou de suspension.

Blues Leaders statistiques des joueurs (saison régulière)

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

Blues Leaders des statistiques des gardiens (saison régulière)

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

Blues Statistiques de l'Équipe de Carrière

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	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Blues Leaders statistiques des joueurs (séries éliminatoires)

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

Blues Leaders des statistiques des gardiens (séries éliminatoires)

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

	Blues
	GP: 2 \| W: 2 \| L: 0 \| OTL: 0 \| P: 4 GF: 8 \| GA: 4 \| PP%: 22.22% \| PK%: 60.00% DG: Rico \| Morale : 99 \| Moyenne d’équipe : N/A Prochains matchs #67 vs Predators