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

Centre de jeu
	Blues 38-27-7, 83pts	2	Sommaire du match	3	Predators 44-19-5, 93pts

Team Stats
L1	Séquence	W4
20-14-2	Fiche domicile	25-9-2
18-13-5	Fiche visiteur	19-10-3
3-6-1	Derniers 10 matchs	8-2-0
4.53	Buts par match	4.07
4.18	Buts contre par match	3.53
19.31%	Pourcentage en avantage numérique	23.93%
85.48%	Pourcentage en désavantage numérique	85.64%

Devils
35-27-9, 79pts

Sommaire du match

Blues
38-27-7, 83pts

Team Stats
W3	Séquence	L1
17-14-5	Fiche domicile	20-14-2
18-13-4	Fiche visiteur	18-13-5
6-3-1	Derniers 10 matchs	3-6-1
4.18	Buts par match	4.53
4.34	Buts contre par match	4.18
16.67%	Pourcentage en avantage numérique	19.31%
79.63%	Pourcentage en désavantage numérique	85.48%

Senators
40-26-7, 87pts

Jour 95

Blues
38-27-7, 83pts

Statistiques d’équipe
L2	Séquence	L1
21-9-5	Fiche domicile	20-14-2
19-17-2	Fiche visiteur	18-13-5
3-7-0	10 derniers matchs	3-6-1
5.05	Buts par match	4.53
4.75	Buts contre par match	4.53
20.00%	Pourcentage en avantage numérique	19.31%
75.86%	Pourcentage en désavantage numérique	85.48%

Blues
38-27-7, 83pts

Jour 96

Jets
31-31-10, 72pts

Statistiques d’équipe
L1	Séquence	L1
20-14-2	Fiche domicile	15-16-4
18-13-5	Fiche visiteur	16-15-6
3-6-1	10 derniers matchs	5-3-2
4.53	Buts par match	4.24
4.18	Buts contre par match	4.24
19.31%	Pourcentage en avantage numérique	18.22%
85.48%	Pourcentage en désavantage numérique	78.37%

Blues
38-27-7, 83pts

Jour 97

Senators
40-26-7, 87pts

Statistiques d’équipe
L1	Séquence	L2
20-14-2	Fiche domicile	21-9-5
18-13-5	Fiche visiteur	19-17-2
3-6-1	10 derniers matchs	3-7-0
4.53	Buts par match	5.05
4.18	Buts contre par match	5.05
19.31%	Pourcentage en avantage numérique	20.00%
85.48%	Pourcentage en désavantage numérique	75.86%

Meneurs d'équipe
	Buts Brayden Point 58	Passes Brayden Point 87

	Points Brayden Point 145	Plus/Moins Noah Hanifin 29

	Victoires Juuse Saros 16	Pourcentage d’arrêts Lukas Dostal 0.899

Statistiques d’équipe
Buts pour 326 4.53 GFG	Tirs pour 3144 43.67 Avg	Pourcentage en avantage numérique 19.3% 39 GF	Début de zone offensive 39.7%
Buts contre 301 4.18 GAA	Tirs contre 2792 38.78 Avg	Pourcentage en désavantage numérique 85.5%% 18 GA	Début de la zone défensive 33.8%

Informations de l'équipe
	Directeur général	Jesse OReilly
	Entraîneur	Mike Sullivan
	Division	Central
	Conférence	Western Conference
	Capitaine	Brayden Point
	Assistant #1	Boone Jenner
	Assistant #2	Jacob Trouba
Informations de l’aréna
	Nom	Scottrade Center
	Capacité	18,000
	Assistance	17,142
	Billets de saison	10,800
Informations de la formation
	Équipe Pro	20
	Équipe Mineure	36
	Limite contact	56 / 100
	Espoirs	88
Plafond salarial
	Cap Salarial de la Saison estimé	66,046,556$
	Plafond salarial disponible	8,453,444$
	Valeur du plafond salarial spécial	3,600,000$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	58,629,028$
	Dépenses annuelles à ce jour	50,519,992$
	Revenus de la saison estimés	11,400,089$
	Dépenses de la saison estimées	13,926,600$
	Compte bancaire actuel	245,342,498$
	Compte bancaire projeté	242,076,480$

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	TA	SP	Âge	Contrat	Salaire
1	Brayden Point (C)	X		X		100.00	60	51	97	95	65	81	96	93	83	89	99	60	77	79	83	82	72	81		0	30	1	2,677,000$
2	Pavel Zacha	X				100.00	71	53	92	78	78	80	99	81	87	82	72	70	35	78	79	72	78	75		0	29	2	2,477,000$
3	Jonathan Marchessault	X		X		100.00	76	53	87	70	66	77	95	86	35	85	81	59	59	81	86	73	73	74		0	35	1	3,391,000$
4	Jaden Schwartz	X	X	X		100.00	65	41	91	75	66	77	98	81	47	76	85	67	25	83	88	74	77	74		0	33	2	6,000,000$
5	Taylor Hall		X			100.00	67	43	87	79	77	69	94	74	44	78	76	64	52	86	87	71	72	73		0	34	3	4,750,000$
6	Boone Jenner (A)	X				100.00	83	45	95	72	75	77	50	78	83	84	82	73	45	81	82	74	74	73		0	32	1	2,728,000$
7	Pius Suter	X	X	X		100.00	68	42	93	69	64	76	98	71	76	72	82	78	53	71	71	75	71	72		0	29	2	2,999,999$
8	Brendan Gallagher			X		100.00	76	53	86	77	66	66	99	74	25	65	78	65	42	84	87	71	75	71		0	34	1	1,750,000$
9	Mason Appleton	X	X	X		100.00	75	44	91	85	72	68	88	63	39	63	66	71	25	72	72	67	73	68		0	30	1	2,100,000$
10	Zemgus Girgensons	X	X			100.00	86	86	84	84	75	59	99	59	47	54	55	74	59	82	81	62	74	67		0	32	1	756,000$
11	David Kampf	X				100.00	70	43	92	78	72	62	76	61	84	61	57	80	25	75	76	64	72	67		0	31	2	2,995,000$
12	Victor Olofsson		X	X		100.00	64	41	91	76	66	67	73	69	29	71	78	60	58	71	70	70	62	67		0	30	3	2,999,999$
13	Tyler Myers				X	100.00	77	55	71	91	88	81	88	66	25	61	51	87	53	91	94	64	75	78		0	36	2	5,750,000$
14	Jacob Trouba (A)				X	100.00	87	79	75	82	80	81	94	61	25	53	46	93	25	83	87	64	60	77		0	32	3	2,972,000$
15	Adam Larsson				X	100.00	79	55	89	73	78	82	99	61	25	60	50	91	25	87	88	64	71	76		0	33	1	2,239,000$
16	Bowen Byram				X	100.00	73	43	84	83	77	86	99	70	25	72	52	83	25	67	68	65	72	75		0	24	2	2,520,000$
17	Noah Hanifin				X	100.00	64	42	94	86	77	83	98	70	25	67	55	77	63	82	84	65	77	74		0	29	3	3,672,000$
18	Jakob Chychrun				X	100.00	71	44	81	82	79	82	91	76	25	67	69	68	45	76	76	69	66	72		0	28	3	2,946,000$
Rayé
Équipe Mineure
1	Ryan Hartman	X		X		100.00	78	64	69	79	72	68	86	76	76	73	76	67	25	79	81	67	91	71		0	31	3	2,900,000$
2	Maxim Tsyplakov (R)			X		100.00	84	55	85	77	79	68	94	74	39	79	67	64	25	56	56	68	90	69		0	27	3	999,999$
3	Danton Heinen		X	X		100.00	76	54	89	72	74	65	96	65	38	70	63	70	25	75	78	64	87	67		0	30	3	2,000,000$
4	Rory Kerins (R)	X				100.00	72	63	91	71	65	80	83	74	81	67	77	65	67	47	47	66	90	67		0	24	3	1,552,000$
5	Curtis Lazar	X	X	X		100.00	88	45	91	87	73	57	65	63	84	59	60	73	25	77	79	62	89	66		0	31	2	1,250,000$
6	John Leonard		X			100.00	76	69	89	70	69	83	87	69	50	63	75	66	67	46	46	68	83	66		0	27	3	1,500,000$
7	Andrew Poturalski	X				100.00	72	66	83	70	66	77	79	72	80	70	72	64	67	47	47	67	86	66		0	32	1	919,000$
8	Kevin Labanc		X	X		100.00	74	43	90	73	67	56	56	67	25	75	59	67	76	74	76	62	82	65		0	30	1	2,800,000$
9	Sasha Pastujov			X		100.00	76	70	91	71	72	65	65	69	50	67	67	65	63	47	47	65	90	64		0	22	3	964,000$
10	Jacob Quillan (R)	X				100.00	77	74	85	69	76	78	83	61	77	55	63	65	60	46	46	63	89	63		0	24	2	1,000,000$
11	Georgii Merkulov (R)	X				100.00	72	64	92	71	64	78	82	64	80	65	61	62	58	46	46	63	90	63		0	25	1	2,000,000$
12	Sammy Blais		X	X		100.00	77	76	76	67	76	65	66	63	50	62	60	65	57	46	48	61	80	61		0	29	1	1,400,000$
13	Jonas Brodin				X	100.00	65	42	88	70	73	86	69	64	25	69	51	85	25	85	89	61	86	71	X	0	32	2	1,818,000$
14	Emil Lilleberg				X	100.00	81	97	61	82	81	67	95	61	25	59	47	74	25	59	60	59	89	69		0	25	3	1,500,000$
15	Ethan Del Mastro (R)				X	100.00	83	45	92	74	82	75	86	64	25	56	52	73	25	49	49	60	89	68		0	23	3	956,000$
16	Philippe Myers				X	100.00	86	60	88	71	83	69	59	61	25	48	47	79	25	65	66	58	89	67		0	29	2	1,085,000$
17	Nick Perbix				X	100.00	68	43	92	70	78	65	91	62	25	55	48	73	25	66	67	59	89	67		0	27	3	2,750,000$
18	Lucas Carlsson				X	100.00	61	41	70	75	70	78	74	64	25	58	50	83	25	54	55	62	39	67		0	28	2	1,205,000$
19	Logan Morrison	X				100.00	76	69	92	67	69	81	87	60	75	59	57	64	54	45	44	62	20	61		0	23	2	900,000$
20	Jimmy Huntington	X				100.00	81	73	99	80	73	39	32	66	80	69	61	68	58	45	45	65	20	61		0	27	1	923,000$
21	Hunter McKown	X				100.00	76	71	88	66	71	78	83	58	73	54	58	64	55	44	44	63	20	60		0	23	1	1,083,000$
22	Pavol Regenda		X			100.00	78	80	74	67	80	56	56	60	50	59	57	64	54	44	44	60	19	59		0	26	1	868,000$
23	Dino Kambeitz			X		100.00	77	78	76	64	78	50	50	52	50	44	56	62	54	45	45	57	19	55		0	26	3	1,114,000$
24	Mathias Laferriere			X		100.00	75	69	88	64	69	51	51	52	50	53	47	62	45	44	44	55	20	54		0	25	1	1,170,000$
25	Calum Ritchie (R)	X				100.00	79	70	99	80	70	52	55	44	55	38	44	62	42	44	44	53	20	53		0	21	3	1,268,000$
26	Raivis Ansons			X		100.00	69	71	64	60	71	38	37	46	50	38	48	57	46	44	44	49	20	49		0	24	1	844,167$
27	Jake Chiasson (R)			X		100.00	76	69	92	60	69	38	37	44	50	38	44	60	42	44	44	50	20	49		0	22	3	1,411,000$
28	Uvis Balinskis				X	100.00	76	54	89	75	72	65	95	64	25	53	48	68	25	58	58	60	84	66		0	29	3	1,000,000$
29	Albert Johansson (R)				X	100.00	76	43	85	73	62	69	78	60	25	49	48	72	25	52	51	60	19	63		0	25	1	919,167$
30	Caleb Jones				X	100.00	76	71	87	69	71	62	65	55	25	50	41	68	39	65	66	55	19	62		0	28	2	2,999,999$
31	Christoffer Sedoff				X	100.00	80	78	84	64	78	70	76	47	25	37	41	63	39	44	44	53	20	59		0	24	2	750,000$

	MOYENNE D’ÉQUIPE					100.00	75	59	86	74	73	69	79	65	48	62	61	70	44	63	64	64	64	67

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	TA	SP	Âge	Contrat	Salaire
1	Lukas Dostal	98.00	72	84	80	75	73	76	73	80	76	72	95	61	61	70	82	73		0	25	1	1,329,000$
2	Juuse Saros	100.00	67	89	86	63	65	69	70	70	66	67	95	71	72	68	77	69		0	31	3	2,844,000$
Rayé
Équipe Mineure
1	Joonas Korpisalo	100.00	63	57	58	80	68	62	75	70	71	63	75	69	70	61	90	67	X	0	32	2	2,999,999$
2	Talyn Boyko (R)	100.00	46	52	65	86	45	93	46	52	91	81	45	44	44	63	89	63		0	23	3	2,019,000$
3	Pavel Cajan	100.00	44	40	50	73	45	89	45	49	90	81	45	44	44	60	20	59		0	23	1	927,000$
4	Cal Petersen	100.00	48	50	63	68	46	47	50	54	48	48	30	44	45	49	20	50		0	31	1	2,000,000$
5	Mitchell Weeks (R)	100.00	46	40	50	78	47	45	50	52	48	48	30	44	44	47	20	50		0	24	4	1,060,000$

	MOYENNE D’ÉQUIPE	99.71	55	59	65	75	56	69	58	61	70	66	59	54	54	60	57	62

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Sullivan	85	78	79	82	84	84	76	USA	52	1	2,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Brayden Point	Blues	C/RW	72	58	87	145	4	15	15	40	118	457	127	261	12.69%	42	1547	21.49	7	15	22	55	186	0	0	0	0	8	8	3	58.42%	2054	112	22	0	1	1.87	0	2	1	2	0	13	8	4
2	Jonathan Marchessault	Blues	C/RW	72	34	53	87	-1	23	5	130	72	307	98	198	11.07%	42	1460	20.28	5	8	13	30	156	0	0	0	0	3	2	1	50.00%	106	48	17	0	0	1.19	0	2	0	0	1	2	7	6
3	Jaden Schwartz	Blues	C/LW/RW	72	31	47	78	6	15	5	66	90	263	85	145	11.79%	44	1527	21.21	8	8	16	33	186	0	0	0	0	0	4	1	41.18%	136	42	19	0	1	1.02	0	0	1	0	0	3	4	5
4	Boone Jenner	Blues	C	70	34	43	77	3	0	0	105	93	212	78	154	16.04%	29	1104	15.78	4	6	10	13	103	0	1	1	0	36	2	0	56.83%	1010	18	18	1	1	1.39	1	2	0	0	0	4	5	4
5	Pavel Zacha	Blues	C	72	27	46	73	-2	21	15	78	88	235	82	164	11.49%	32	1098	15.26	6	5	11	18	158	0	0	0	0	0	4	1	57.91%	834	39	14	0	0	1.33	0	0	1	1	1	3	2	1
6	Taylor Hall	Blues	LW	72	28	35	63	-10	12	0	72	78	233	79	149	12.02%	27	1130	15.70	3	5	8	19	144	0	0	0	0	1	4	0	42.86%	56	42	12	0	0	1.11	0	0	0	0	0	2	5	4
7	Pius Suter	Blues	C/LW/RW	72	18	28	46	-4	6	0	49	81	141	53	98	12.77%	28	1010	14.04	0	0	0	1	16	0	5	5	6	118	1	0	56.11%	303	28	17	0	0	0.91	0	2	0	0	0	1	1	0
8	Jakob Chychrun	Blues	D	72	8	32	40	-12	34	10	79	101	160	58	48	5.00%	95	1633	22.69	4	8	12	25	206	0	0	0	7	113	0	0	0%	0	28	60	0	0	0.49	0	0	0	2	0	0	0	1
9	Bowen Byram	Blues	D	72	5	32	37	-15	35	5	98	94	112	56	50	4.46%	109	1599	22.22	1	7	8	20	205	0	0	0	2	76	0	1	0%	0	34	47	0	0	0.46	0	1	1	0	0	0	0	0
10	Brendan Gallagher	Blues	RW	72	21	15	36	-2	18	10	92	43	170	35	95	12.35%	22	884	12.29	0	0	0	0	9	0	0	0	0	0	3	2	33.33%	48	26	14	0	0	0.81	0	0	1	0	1	3	0	2
11	Victor Olofsson	Blues	LW/RW	70	14	22	36	-6	9	5	55	55	144	38	84	9.72%	31	967	13.82	1	0	1	9	52	0	0	0	2	15	0	1	33.96%	53	22	11	0	1	0.74	1	1	0	0	1	1	0	3
12	Mason Appleton	Blues	C/LW/RW	72	17	15	32	12	0	0	48	41	149	53	83	11.41%	20	700	9.72	0	0	0	0	5	5	0	5	10	108	3	0	28.57%	21	29	10	1	0	0.91	0	0	0	0	0	0	0	4
13	Tyler Myers	Blues	D	72	6	25	31	17	57	5	96	87	91	42	35	6.59%	72	1132	15.73	0	0	0	0	2	0	0	0	0	2	1	0	0%	0	10	47	0	0	0.55	0	0	1	0	0	0	1	1
14	Noah Hanifin	Blues	D	73	4	16	20	29	2	0	36	86	96	31	33	4.17%	80	1366	18.72	1	0	1	8	156	0	0	0	1	86	1	1	0%	0	7	26	0	0	0.29	0	1	0	0	0	0	2	0
15	David Kampf	Blues	C	71	7	11	18	5	0	0	34	53	100	32	68	7.00%	14	649	9.15	0	0	0	0	0	0	0	0	4	85	1	1	57.63%	262	14	10	0	0	0.55	0	0	0	0	0	0	0	0
16	Adam Larsson	Blues	D	72	2	16	18	15	14	0	118	105	90	29	49	2.22%	110	1465	20.36	0	1	1	1	132	0	0	0	2	125	0	0	0%	0	17	47	0	0	0.25	0	0	0	0	0	0	0	1
17	Jacob Trouba	Blues	D	65	0	17	17	-18	82	20	154	106	95	44	47	0%	78	1341	20.64	0	0	0	0	2	0	0	0	0	74	0	0	0%	0	16	48	0	0	0.25	0	0	1	1	2	0	0	0
18	Zemgus Girgensons	Blues	C/LW	71	10	6	16	7	22	10	84	47	96	34	49	10.42%	16	649	9.15	0	0	0	0	1	0	0	0	0	63	3	0	50.00%	18	9	14	0	0	0.49	0	0	0	0	2	0	0	1
19	Ryan Hartman	Thunderbirds (STL)	C/RW	4	1	0	1	-4	2	0	6	3	6	9	7	16.67%	3	57	14.33	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	3	2	3	0	0	0.35	0	0	0	0	0	0	0	0
20	Jonas Brodin	Thunderbirds (STL)	D	9	0	1	1	-3	2	0	5	6	5	1	2	0%	8	118	13.20	0	0	0	0	0	0	0	0	0	8	0	0	0%	0	1	4	0	0	0.17	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1297	325	547	872	21	369	105	1445	1447	3162	1064	1819	10.28%	902	21448	16.54	40	63	103	232	1727	5	6	11	34	928	37	12	56.32%	4904	544	460	2	4	0.81	2	11	7	6	8	32	35	37

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	SAR	A	PS %	ST	BG	S1	S3
1	Juuse Saros	Blues	38	16	13	6	0.890	4.15	2140	148	1340	693	2	0	36	36	1	1
2	Lukas Dostal	Blues	7	3	3	1	0.899	4.01	419	28	278	148	1	0	7	0	0	0
Statistiques d’équipe totales ou en moyenne			45	19	16	7	0.891	4.13	2560	176	1618	841	3		43	36	1	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	Date de la Dernière Transaction	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	Lien
Adam Larsson	Blues	D	33	1992-11-12	SWE	No	207 Lbs	6 ft3	No	No	N/A		No	Yes	1		False	False	Pro & Farm	2,239,000$	503,775$	2,239,000$	503,775$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Boone Jenner	Blues	C	32	1993-06-15	CAN	No	203 Lbs	6 ft2	No	No	N/A		No	Yes	1		False	False	Pro & Farm	2,728,000$	613,800$	2,728,000$	613,800$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Bowen Byram	Blues	D	24	2001-06-13	CAN	No	205 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	2,520,000$	567,000$	2,520,000$	567,000$	No	2,520,000$	-	-	-	-	-	-	-	-	2,520,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Brayden Point	Blues	C/RW	30	1996-03-13	CAN	No	175 Lbs	5 ft11	No	No	N/A		No	Yes	1		False	False	Pro & Farm	2,677,000$	602,325$	2,677,000$	602,325$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Brendan Gallagher	Blues	RW	34	1992-05-06	CAN	No	185 Lbs	5 ft9	No	No	N/A		No	Yes	1		False	False	Pro & Farm	1,750,000$	393,750$	1,750,000$	393,750$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
David Kampf	Blues	C	31	1995-01-12	CZE	No	193 Lbs	6 ft2	No	No	Assign Manually		No	Yes	2	2024-09-10	False	False	Pro & Farm	2,995,000$	673,875$	2,995,000$	673,875$	No	2,995,000$	-	-	-	-	-	-	-	-	2,995,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jacob Trouba	Blues	D	32	1994-02-26	USA	No	212 Lbs	6 ft3	No	No	Trade	2025-01-20	No	Yes	3	2025-05-01	False	False	Pro & Farm	2,972,000$	668,700$	2,972,000$	668,700$	No	2,702,000$	2,432,000$	-	-	-	-	-	-	-	2,702,000$	2,702,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Jaden Schwartz	Blues	C/LW/RW	33	1992-06-25	CAN	No	185 Lbs	5 ft10	No	No	Trade	2025-02-19	No	Yes	2	2024-09-16	False	False	Pro & Farm	6,000,000$	1,350,000$	6,000,000$	1,350,000$	No	6,000,000$	-	-	-	-	-	-	-	-	6,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jakob Chychrun	Blues	D	28	1998-03-31	USA	No	216 Lbs	6 ft2	No	No	N/A		No	Yes	3	2025-04-30	False	False	Pro & Farm	2,946,000$	662,850$	2,946,000$	662,850$	No	2,946,000$	2,946,000$	-	-	-	-	-	-	-	2,946,000$	2,946,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Jonathan Marchessault	Blues	C/RW	35	1990-12-27	CAN	No	185 Lbs	5 ft9	No	No	N/A		No	Yes	1		False	False	Pro & Farm	3,391,000$	762,975$	3,391,000$	762,975$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Juuse Saros	Blues	G	31	1995-04-19	FIN	No	180 Lbs	5 ft11	No	No	Trade	2024-09-03	No	Yes	3	2025-04-30	False	False	Pro & Farm	2,844,000$	639,900$	2,844,000$	639,900$	No	2,586,000$	2,328,000$	-	-	-	-	-	-	-	2,586,000$	2,586,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Lukas Dostal	Blues	G	25	2000-06-22	CZE	No	190 Lbs	6 ft2	No	No	Trade	2026-05-04	No	No	1		False	False	Pro & Farm	1,329,000$	299,025$	1,329,000$	299,025$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Mason Appleton	Blues	C/LW/RW	30	1996-01-15	USA	No	194 Lbs	6 ft2	No	No	N/A		No	Yes	1		False	False	Pro & Farm	2,100,000$	472,500$	2,100,000$	472,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Noah Hanifin	Blues	D	29	1997-01-25	USA	No	206 Lbs	6 ft3	No	No	Trade	2026-05-04	No	Yes	3	2025-05-01	False	False	Pro & Farm	3,672,000$	826,200$	3,672,000$	826,200$	No	3,672,000$	3,672,000$	-	-	-	-	-	-	-	3,672,000$	3,672,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Pavel Zacha	Blues	C	29	1997-04-06	CZE	No	206 Lbs	6 ft3	No	No	N/A		No	Yes	2		False	False	Pro & Farm	2,477,000$	557,325$	2,477,000$	557,325$	No	2,477,000$	-	-	-	-	-	-	-	-	1,680,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Pius Suter	Blues	C/LW/RW	29	1996-05-24	SUI	No	179 Lbs	5 ft11	No	No	Free Agent		No	Yes	2	2024-09-18	False	False	Pro & Farm	2,999,999$	675,000$	2,999,999$	675,000$	No	2,999,999$	-	-	-	-	-	-	-	-	2,999,999$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Taylor Hall	Blues	LW	34	1991-11-14	CAN	No	210 Lbs	6 ft1	No	No	Assign Manually		No	Yes	3	2025-11-06	False	False	Pro & Farm	4,750,000$	1,068,750$	4,750,000$	1,068,750$	No	4,750,000$	4,750,000$	-	-	-	-	-	-	-	4,750,000$	4,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Tyler Myers	Blues	D	36	1990-02-01	USA	No	229 Lbs	6 ft8	No	No	Free Agent		No	Yes	2	2024-09-18	False	False	Pro & Farm	5,750,000$	1,293,750$	5,750,000$	1,293,750$	No	5,750,000$	-	-	-	-	-	-	-	-	5,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Victor Olofsson	Blues	LW/RW	30	1995-07-18	SWE	No	180 Lbs	5 ft11	No	No	Assign Manually		No	Yes	3	2025-11-06	False	False	Pro & Farm	2,999,999$	675,000$	2,999,999$	675,000$	No	2,999,999$	2,999,999$	-	-	-	-	-	-	-	2,999,999$	2,999,999$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Zemgus Girgensons	Blues	C/LW	32	1994-01-05	LAT	No	192 Lbs	6 ft3	No	No	N/A		No	Yes	1		False	False	Pro & Farm	756,000$	170,100$	756,000$	170,100$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
20	30.85	197 Lbs	6 ft1	1.90	2,994,800$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
59,895,998$	42,397,998$	19,127,999$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jaden Schwartz	Pavel Zacha	Brayden Point	40	1	2	2
2	Taylor Hall	Boone Jenner	Jonathan Marchessault	28	1	2	2
3	Victor Olofsson	Pius Suter	Brendan Gallagher	22	1	2	2
4	Zemgus Girgensons	David Kampf	Mason Appleton	10	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Noah Hanifin	Adam Larsson	40	1	3	1
2	Bowen Byram	Tyler Myers	30	1	3	1
3	Jakob Chychrun	Jacob Trouba	30	1	3	1
4	Jakob Chychrun	Adam Larsson	0	1	3	1

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Pavel Zacha	Brayden Point	Jaden Schwartz	60	0	0	5
2	Taylor Hall	Boone Jenner	Jonathan Marchessault	40	1	0	4

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Bowen Byram	Jakob Chychrun	60	0	1	4
2	Noah Hanifin	Adam Larsson	40	0	1	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Pius Suter	Mason Appleton	55	0	4	1
2	David Kampf	Zemgus Girgensons	45	0	4	1

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Bowen Byram	Adam Larsson	60	1	4	0
2	Jakob Chychrun	Jacob Trouba	40	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Pavel Zacha	60	0	4	1	Noah Hanifin	Adam Larsson	60	1	4	0
2	David Kampf	40	0	4	1	Bowen Byram	Jacob Trouba	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Brayden Point	Jaden Schwartz	60	0	2	3
2	Pavel Zacha	Jonathan Marchessault	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Noah Hanifin	Adam Larsson	60	1	3	1
2	Bowen Byram	Tyler Myers	40	1	3	1

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jaden Schwartz	Brayden Point	Jonathan Marchessault	Bowen Byram	Jakob Chychrun

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Pavel Zacha	Boone Jenner	Mason Appleton	Jacob Trouba	Tyler Myers

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Brayden Point, Pius Suter, Jaden Schwartz	Pius Suter, Brendan Gallagher	Zemgus Girgensons

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Bowen Byram, Jakob Chychrun, Adam Larsson	Tyler Myers	Jacob Trouba, Adam Larsson

Tirs de pénalité
Brayden Point, Jonathan Marchessault, Pius Suter, Boone Jenner, Victor Olofsson

Gardien
#1 : Lukas Dostal, #2 : Juuse Saros

Lignes d’attaque personnalisées en prolongation
Brayden Point, Jonathan Marchessault, Boone Jenner, Jaden Schwartz, Pius Suter, Taylor Hall, Pavel Zacha, Victor Olofsson, Brendan Gallagher, Mason Appleton

Lignes de défense personnalisées en prolongation
Bowen Byram, Jakob Chychrun, Tyler Myers, Noah Hanifin, Adam Larsson

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	5	4	0	0	0	1	0	0	25	19	6	3	2	0	0	0	1	0	0	17	14	3	2	2	0	0	0	0	0	0	8	5	3	9	0.900	25	46	71	0	0	16	6	3	0	225	106	55	63	1	198	73	20	79	17	2	11.76%	5	0	100.00%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	113	69	100	44	87	44
2	Blackhawks	5	3	2	0	0	0	0	0	24	18	6	3	2	1	0	0	0	0	0	14	11	3	2	1	1	0	0	0	0	0	10	7	3	6	0.600	24	43	67	0	0	9	9	6	0	215	81	68	66	0	188	60	12	113	12	3	25.00%	5	1	80.00%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	112	65	96	42	91	47
3	Blue Jackets	2	0	1	0	0	0	1	0	11	11	0	1	0	1	0	0	0	0	0	5	6	-1	1	0	0	0	0	0	1	0	6	5	1	2	0.500	11	17	28	0	0	5	5	0	1	88	38	25	25	4	84	32	4	43	6	1	16.67%	2	0	100.00%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	47	27	40	17	37	19
4	Bruins	1	0	0	0	1	0	0	0	4	3	1	1	0	0	0	1	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	1	1	1	1	39	11	7	19	2	38	13	4	16	3	0	0.00%	2	0	100.00%	1	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	18	10	22	9	19	9
5	Canadiens	2	0	1	0	0	1	0	0	8	11	-3	0	0	0	0	0	0	0	0	0	0	0	2	0	1	0	0	1	0	0	8	11	-3	1	0.250	8	13	21	1	0	4	2	2	0	91	39	30	22	0	72	15	8	55	8	2	25.00%	4	0	100.00%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	45	25	37	17	37	19
6	Canucks	2	1	1	0	0	0	0	0	11	6	5	1	1	0	0	0	0	0	0	7	1	6	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	11	18	29	0	0	2	4	5	0	89	29	33	27	0	71	20	13	47	10	3	30.00%	4	1	75.00%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	46	27	38	17	35	18
7	Capitals	2	0	2	0	0	0	0	0	5	13	-8	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	5	7	12	0	0	2	1	2	0	76	24	26	26	0	92	26	24	29	3	1	33.33%	7	2	71.43%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	38	22	47	17	34	15
8	Coyotes	4	3	1	0	0	0	0	0	16	12	4	1	1	0	0	0	0	0	0	6	4	2	3	2	1	0	0	0	0	0	10	8	2	6	0.750	16	28	44	0	0	3	6	7	0	158	61	61	36	0	169	59	10	89	14	5	35.71%	5	3	40.00%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	89	51	75	37	75	36
9	Devils	2	1	1	0	0	0	0	0	10	9	1	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	7	5	2	2	0.500	10	15	25	0	0	3	3	4	0	83	27	18	38	0	73	23	13	51	4	1	25.00%	4	0	100.00%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	43	24	39	17	37	18
10	Ducks	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	2	1	0	0	41	15	12	14	0	44	15	5	16	4	0	0.00%	0	0	0%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	21	11	20	8	18	9
11	Flames	1	1	0	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	4	2	2	1.000	6	12	18	0	0	2	2	2	0	46	21	12	13	0	51	12	6	18	1	0	0.00%	3	1	66.67%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	22	13	19	8	17	9
12	Flyers	2	2	0	0	0	0	0	0	17	8	9	1	1	0	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	8	1	7	4	1.000	17	25	42	0	0	12	2	3	0	88	44	21	23	0	58	37	72	59	12	5	41.67%	1	0	100.00%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	49	28	34	16	36	20
13	Golden Knights	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	2	1	3	0	44	22	5	17	0	22	10	4	24	1	0	0.00%	2	0	100.00%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	25	15	16	8	18	9
14	Islanders	2	2	0	0	0	0	0	0	11	9	2	1	1	0	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	5	4	1	4	1.000	11	19	30	0	0	2	4	5	0	91	31	24	36	0	87	32	4	44	4	0	0.00%	2	0	100.00%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	42	26	43	15	33	18
15	Jets	4	2	2	0	0	0	0	0	19	20	-1	2	1	1	0	0	0	0	0	10	13	-3	2	1	1	0	0	0	0	0	9	7	2	4	0.500	19	31	50	0	0	7	4	8	0	159	45	55	59	0	148	61	22	72	10	1	10.00%	11	2	81.82%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	84	45	80	38	75	37
16	Kings	2	0	1	0	0	1	0	0	8	11	-3	1	0	1	0	0	0	0	0	2	4	-2	1	0	0	0	0	1	0	0	6	7	-1	1	0.250	8	11	19	0	0	4	3	1	0	83	30	24	28	1	98	30	19	35	2	0	0.00%	7	2	71.43%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	44	27	43	17	34	16
17	Lightning	2	1	1	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	7	2	5	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	9	16	25	0	0	1	5	3	0	79	25	29	25	0	75	32	15	47	6	1	16.67%	5	0	100.00%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	40	21	42	20	36	18
18	Maple Leafs	2	1	0	0	0	1	0	0	12	10	2	1	1	0	0	0	0	0	0	7	4	3	1	0	0	0	0	1	0	0	5	6	-1	3	0.750	12	18	30	0	0	6	3	3	0	81	26	31	23	1	70	28	2	48	10	1	10.00%	1	0	100.00%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	46	27	37	17	37	20
19	Oilers	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	3	6	0	0	2	1	0	0	44	16	15	13	0	45	9	6	20	2	0	0.00%	3	1	66.67%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	21	12	21	8	17	8
20	Panthers	2	1	0	0	0	0	1	0	9	4	5	1	0	0	0	0	0	1	0	2	1	1	1	1	0	0	0	0	0	0	7	3	4	4	1.000	9	12	21	0	0	4	1	3	1	91	35	26	23	12	78	23	6	42	8	1	12.50%	3	2	33.33%	1	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	48	28	40	18	36	19
21	Penguins	2	1	1	0	0	0	0	0	10	10	0	1	1	0	0	0	0	0	0	8	3	5	1	0	1	0	0	0	0	0	2	7	-5	2	0.500	10	17	27	0	0	6	2	2	0	88	41	23	24	0	76	17	4	33	5	2	40.00%	2	0	100.00%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	44	26	38	16	36	19
22	Predators	4	1	2	0	0	1	0	0	14	14	0	1	1	0	0	0	0	0	0	5	1	4	3	0	2	0	0	1	0	0	9	13	-4	3	0.375	14	23	37	0	0	5	5	4	0	196	78	69	48	1	150	39	12	81	11	1	9.09%	6	1	83.33%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	98	62	77	35	67	33
23	Rangers	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	2	3	2	1.000	5	8	13	0	0	1	2	2	0	54	23	16	15	0	43	13	0	23	5	0	0.00%	0	0	0%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	24	14	17	8	18	9
24	Red Wings	2	1	1	0	0	0	0	0	12	11	1	1	0	1	0	0	0	0	0	4	6	-2	1	1	0	0	0	0	0	0	8	5	3	2	0.500	12	18	30	1	0	4	4	4	0	78	23	25	30	0	85	28	10	39	2	0	0.00%	5	0	100.00%	1	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	43	24	39	18	36	17
25	Sabres	2	1	1	0	0	0	0	0	11	11	0	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	5	7	-2	2	0.500	11	18	29	1	0	5	4	2	0	96	35	29	32	0	88	33	2	38	6	2	33.33%	1	0	100.00%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	46	29	39	16	33	17
26	Senators	1	0	1	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	4	8	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	7	11	0	0	2	1	1	0	44	25	13	6	0	40	11	6	18	2	0	0.00%	3	0	100.00%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	22	13	19	9	18	8
27	Sharks	3	2	0	0	0	1	0	0	12	10	2	1	1	0	0	0	0	0	0	4	3	1	2	1	0	0	0	1	0	0	8	7	1	5	0.833	12	21	33	0	0	5	6	1	0	136	51	49	36	0	95	28	12	63	1	0	0.00%	6	0	100.00%	1	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	63	36	59	27	59	28
28	Stars	5	3	1	0	0	1	0	0	24	16	8	3	2	0	0	0	1	0	0	16	9	7	2	1	1	0	0	0	0	0	8	7	1	7	0.700	24	43	67	0	0	9	7	8	0	220	66	87	64	3	183	41	38	107	5	0	0.00%	9	2	77.78%	1	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	108	62	102	45	93	45
29	Whalers	2	1	1	0	0	0	0	0	6	10	-4	1	0	1	0	0	0	0	0	1	7	-6	1	1	0	0	0	0	0	0	5	3	2	2	0.500	6	12	18	0	0	2	2	2	0	95	45	26	24	0	79	34	8	44	2	1	50.00%	4	0	100.00%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	43	25	39	18	37	17
30	Wild	5	1	4	0	0	0	0	0	11	20	-9	3	0	3	0	0	0	0	0	6	14	-8	2	1	1	0	0	0	0	0	5	6	-1	2	0.200	11	20	31	0	0	4	5	2	0	226	85	81	60	0	192	55	22	102	26	6	23.08%	12	0	100.00%	0	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	109	64	107	44	83	42
	Total	72	35	27	0	1	7	2	0	326	301	25	36	18	14	0	1	2	1	0	166	154	12	36	17	13	0	0	5	1	0	160	147	13	83	0.576	326	545	871	3	0	132	102	89	3	3144	1198	995	935	25	2792	909	383	1495	202	39	19.31%	124	18	85.48%	5	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	1605	944	1438	640	1303	655
	_Since Last GM Reset	72	35	27	0	1	7	2	0	326	301	25	36	18	14	0	1	2	1	0	166	154	12	36	17	13	0	0	5	1	0	160	147	13	83	0.576	326	545	871	3	0	132	102	89	3	3144	1198	995	935	25	2792	909	383	1495	202	39	19.31%	124	18	85.48%	5	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	1605	944	1438	640	1303	655
	_Vs Conference	43	22	16	0	0	5	0	0	182	164	18	22	12	8	0	0	2	0	0	99	88	11	21	10	8	0	0	3	0	0	83	76	7	49	0.570	182	316	498	0	0	72	60	50	0	1882	706	626	544	6	1654	512	201	866	116	21	18.10%	78	14	82.05%	2	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	959	568	858	383	776	385
	_Vs Division	32	17	12	0	0	3	0	0	133	119	14	16	9	5	0	0	2	0	0	74	66	8	16	8	7	0	0	1	0	0	59	53	6	37	0.578	133	234	367	0	0	53	42	38	0	1399	522	476	396	5	1228	388	136	643	95	18	18.95%	53	9	83.02%	1	1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%	715	422	640	288	575	286

			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
72	83	L1	326	545	871	3144	2792	909	383	1495	3	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
72	35	27	1	7	2	0	326	301

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	18	14	1	2	1	0	166	154

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	17	13	0	5	1	0	160	147

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
3	6	0	1	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
202	39	19.31%	124	18	85.48%	5

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
1198	995	935	25	132	102	89	3

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
1073	1933	55.51%	923	1648	56.01%	766	1290	59.38%

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
1605	944	1438	640	1303	655

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
1	7	Blues	4	Coyotes	5	L			Sommaire du match
2	27	Blackhawks	3	Blues	6	W			Sommaire du match
3	34	Blues	5	Jets	2	W			Sommaire du match
5	58	Stars	2	Blues	7	W			Sommaire du match
6	76	Coyotes	4	Blues	6	W			Sommaire du match
7	88	Blues	3	Stars	6	L			Sommaire du match
8	96	Blues	2	Predators	3	L			Sommaire du match
9	114	Avalanche	4	Blues	6	W			Sommaire du match
11	137	Stars	2	Blues	5	W			Sommaire du match
13	146	Blues	3	Sharks	4	L	X		Sommaire du match
14	167	Avalanche	4	Blues	6	W			Sommaire du match
16	191	Jets	7	Blues	3	L			Sommaire du match
17	203	Blues	2	Coyotes	1	W			Sommaire du match
19	221	Wild	4	Blues	1	L			Sommaire du match
20	241	Blues	3	Wild	2	W			Sommaire du match
21	245	Blues	3	Blackhawks	4	L			Sommaire du match
22	261	Blackhawks	2	Blues	4	W			Sommaire du match
24	282	Penguins	3	Blues	8	W			Sommaire du match
25	294	Blues	4	Canucks	5	L			Sommaire du match
26	311	Lightning	2	Blues	7	W			Sommaire du match
27	326	Blues	2	Lightning	5	L			Sommaire du match
28	337	Blues	5	Stars	1	W			Sommaire du match
29	354	Avalanche	6	Blues	5	L	X		Sommaire du match
30	368	Blues	3	Avalanche	2	W			Sommaire du match
32	383	Oilers	5	Blues	3	L			Sommaire du match
33	406	Capitals	6	Blues	1	L			Sommaire du match
34	417	Blues	7	Devils	5	W			Sommaire du match
36	435	Blue Jackets	6	Blues	5	L			Sommaire du match
37	452	Blues	5	Rangers	2	W			Sommaire du match
39	472	Wild	6	Blues	3	L			Sommaire du match
40	485	Blues	7	Panthers	3	W			Sommaire du match
41	501	Bruins	3	Blues	4	W	X		Sommaire du match
42	515	Blues	4	Coyotes	2	W			Sommaire du match
43	532	Panthers	1	Blues	2	W	X	X	Sommaire du match
44	547	Blues	5	Sabres	7	L			Sommaire du match
45	560	Sabres	4	Blues	6	W			Sommaire du match
47	574	Blues	7	Blackhawks	3	W			Sommaire du match
49	597	Maple Leafs	4	Blues	7	W			Sommaire du match
50	612	Blues	8	Red Wings	5	W			Sommaire du match
51	622	Blues	6	Flames	4	W			Sommaire du match
52	634	Kings	4	Blues	2	L			Sommaire du match
54	656	Golden Knights	3	Blues	6	W			Sommaire du match
55	668	Blues	5	Sharks	3	W			Sommaire du match
57	688	Sharks	3	Blues	4	W			Sommaire du match
58	695	Blues	5	Islanders	4	W			Sommaire du match
59	708	Blues	5	Maple Leafs	6	L	X		Sommaire du match
60	726	Blackhawks	6	Blues	4	L			Sommaire du match
62	749	Flyers	7	Blues	9	W			Sommaire du match
63	765	Blues	5	Predators	7	L			Sommaire du match
65	782	Islanders	5	Blues	6	W			Sommaire du match
66	795	Blues	3	Canadiens	4	L	X		Sommaire du match
67	809	Blues	6	Kings	7	L	X		Sommaire du match
68	820	Stars	5	Blues	4	L	X		Sommaire du match
70	838	Blues	6	Blue Jackets	5	W	X	X	Sommaire du match
71	852	Red Wings	6	Blues	4	L			Sommaire du match
72	864	Blues	4	Capitals	7	L			Sommaire du match
74	882	Blues	2	Penguins	7	L			Sommaire du match
75	891	Canucks	1	Blues	7	W			Sommaire du match
76	911	Predators	1	Blues	5	W			Sommaire du match
77	922	Blues	5	Whalers	3	W			Sommaire du match
78	938	Blues	5	Canadiens	7	L			Sommaire du match
80	949	Wild	4	Blues	2	L			Sommaire du match
81	973	Senators	8	Blues	4	L			Sommaire du match
83	990	Blues	5	Avalanche	3	W			Sommaire du match
84	1003	Whalers	7	Blues	1	L			Sommaire du match
86	1016	Blues	2	Wild	4	L			Sommaire du match
87	1033	Blues	8	Flyers	1	W			Sommaire du match
88	1045	Ducks	6	Blues	3	L			Sommaire du match
89	1062	Blues	4	Jets	5	L			Sommaire du match
90	1074	Jets	6	Blues	7	W			Sommaire du match
92	1087	Blues	2	Predators	3	L	X		Sommaire du match
93	1100	Devils	4	Blues	3	L			Sommaire du match
95	1126	Senators	-	Blues	-
96	1141	Blues	-	Jets	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
97	1149	Blues	-	Senators	-
98	1162	Blues	-	Golden Knights	-
99	1173	Flames	-	Blues	-
101	1190	Blues	-	Bruins	-
102	1203	Predators	-	Blues	-
105	1227	Canadiens	-	Blues	-
106	1240	Blues	-	Ducks	-
107	1246	Blues	-	Stars	-
109	1268	Coyotes	-	Blues	-
112	1291	Coyotes	-	Blues	-
113	1299	Blues	-	Oilers	-
117	1330	Rangers	-	Blues	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	91	55	40	18	170
Assistance	207,742	174,277	59,312	140,753	35,015
Attendance PCT	96.18%	96.82%	82.38%	97.75%	97.26%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
7	17142 - 95.23%	1,628,584$	58,629,028$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
50,519,992$	59,895,998$	59,895,998$	2,000,000$0$	3,600,000$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
499,133$	48,969,965$	0$	20	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
11,400,089$	27	515,800$	13,926,600$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
15,162,531$	245,342,498$	242,076,480$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
66,046,556$	8,453,444$	74,500,000$	7,546,556$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Jaden Schwartz	AGE:33	PO:74	OV:74
Taylor Hall	AGE:34	PO:71	OV:73
Pius Suter	AGE:29	PO:75	OV:72
Mason Appleton	AGE:30	PO:67	OV:68
Victor Olofsson	AGE:30	PO:70	OV:67
Danton Heinen	AGE:30	PO:64	OV:67
Zemgus Girgensons	AGE:32	PO:62	OV:67
John Leonard	AGE:27	PO:68	OV:66
Curtis Lazar	AGE:31	PO:62	OV:66
Kevin Labanc	AGE:30	PO:62	OV:65
Sammy Blais	AGE:29	PO:61	OV:61
Pavol Regenda	AGE:26	PO:60	OV:59

Brayden Point	AGE:30	PO:82	OV:81
Pavel Zacha	AGE:29	PO:72	OV:75
Jaden Schwartz	AGE:33	PO:74	OV:74
Jonathan Marchessault	AGE:35	PO:73	OV:74
Boone Jenner	AGE:32	PO:74	OV:73
Pius Suter	AGE:29	PO:75	OV:72
Ryan Hartman	AGE:31	PO:67	OV:71
Mason Appleton	AGE:30	PO:67	OV:68
Rory Kerins (R)	AGE:24	PO:66	OV:67
David Kampf	AGE:31	PO:64	OV:67
Zemgus Girgensons	AGE:32	PO:62	OV:67
Andrew Poturalski	AGE:32	PO:67	OV:66
Curtis Lazar	AGE:31	PO:62	OV:66
Jacob Quillan (R)	AGE:24	PO:63	OV:63
Georgii Merkulov (R)	AGE:25	PO:63	OV:63
Jimmy Huntington	AGE:27	PO:65	OV:61
Logan Morrison	AGE:23	PO:62	OV:61
Hunter McKown	AGE:23	PO:63	OV:60
Calum Ritchie (R)	AGE:21	PO:53	OV:53

Brayden Point	AGE:30	PO:82	OV:81
Jaden Schwartz	AGE:33	PO:74	OV:74
Jonathan Marchessault	AGE:35	PO:73	OV:74
Pius Suter	AGE:29	PO:75	OV:72
Brendan Gallagher	AGE:34	PO:71	OV:71
Ryan Hartman	AGE:31	PO:67	OV:71
Maxim Tsyplakov (R)	AGE:27	PO:68	OV:69
Mason Appleton	AGE:30	PO:67	OV:68
Victor Olofsson	AGE:30	PO:70	OV:67
Danton Heinen	AGE:30	PO:64	OV:67
Curtis Lazar	AGE:31	PO:62	OV:66
Kevin Labanc	AGE:30	PO:62	OV:65
Sasha Pastujov	AGE:22	PO:65	OV:64
Sammy Blais	AGE:29	PO:61	OV:61
Dino Kambeitz	AGE:26	PO:57	OV:55
Mathias Laferriere	AGE:25	PO:55	OV:54
Jake Chiasson (R)	AGE:22	PO:50	OV:49
Raivis Ansons	AGE:24	PO:49	OV:49

Défense #1

Défense #2

Gardien

Tyler Myers	AGE:36	PO:64	OV:78
Jacob Trouba	AGE:32	PO:64	OV:77
Adam Larsson	AGE:33	PO:64	OV:76
Bowen Byram	AGE:24	PO:65	OV:75
Noah Hanifin	AGE:29	PO:65	OV:74
Jakob Chychrun	AGE:28	PO:69	OV:72
Jonas Brodin	AGE:32	PO:61	OV:71
Emil Lilleberg	AGE:25	PO:59	OV:69

Ethan Del Mastro (R)	AGE:23	PO:60	OV:68
Lucas Carlsson	AGE:28	PO:62	OV:67
Nick Perbix	AGE:27	PO:59	OV:67
Philippe Myers	AGE:29	PO:58	OV:67
Uvis Balinskis	AGE:29	PO:60	OV:66
Albert Johansson (R)	AGE:25	PO:60	OV:63
Caleb Jones	AGE:28	PO:55	OV:62
Christoffer Sedoff	AGE:24	PO:53	OV:59

Lukas Dostal	AGE:25	PO:70	OV:73
Juuse Saros	AGE:31	PO:68	OV:69
Joonas Korpisalo	AGE:32	PO:61	OV:67
Talyn Boyko (R)	AGE:23	PO:63	OV:63
Pavel Cajan	AGE:23	PO:60	OV:59
Cal Petersen	AGE:31	PO:49	OV:50
Mitchell Weeks (R)	AGE:24	PO:47	OV:50

Espoirs

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Astuces sur les filtres (anglais seulement)

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Lien
Aaron Irving	Blues	2014	162
Adam Jiricek	Blues	2024	23
Adam Parsells	Blues	2015	164
Aiden Celebrini	Blues	2023	181
Alex Mallet	Blues	0	0
Alex-Olivier Voyer	Blues	0	0	Lien
Alexandre Ranger	Blues	0	0
Alexis Cournoyer	Blues	2025	141
Andreas Borgman	Blues	0	0	Lien
Andrei Svetlakov	Blues	2017	184
Antoine Waked	Blues	0	0	Lien
Ashton Schultz	Blues	2025	172
Borna Rendulic	Blues	0	0
Brady Brassart	Blues	0	0
Brent Moran	Blues	2014	115
Brett Findlay	Blues	0	0
Brock Beukeboom	Blues	0	0
Cade Fairchild	Blues	0	0
Calle Andersson	Blues	0	0
Carl Klingberg	Blues	0	0
Carter Amico	Blues	2025	48
Chris Carlisle	Blues	0	0
Christian Folin	Blues	0	0	Lien
Cole Jordan	Blues	2021	153
D.J. Busdeker	Blues	0	0	Lien
Danil Savunov	Blues	2019	187
David Krejci	Blues	0	0	Lien
Dmitri Semykin	Blues	0	0	Lien
Dmitriy Zaitsev	Blues	2016	205
Evander Kane	Blues	0	0	Lien
Evgeny Prokhorov	Blues	2025	203
Francesco Dell'elce	Blues	2025	79
Frankie Simonelli	Blues	0	0
Garrett Metcalf	Blues	2015	181	Lien
Greg Pateryn	Blues	0	0	Lien
Ian Scott	Blues	2017	88
Jackson Hallum	Blues	2020	95
Jakub Fibigr	Blues	2024	209
Jakub Milota	Blues	2024	116
James Fisher	Blues	2022	211
Jaromir Pytlik	Blues	2020	100
Jeremy Helvig	Blues	0	0
Jeremy Michel	Blues	2019	217
Joel Champagne	Blues	0	0
Jonas Junland	Blues	0	0
Jonathan Castagna	Blues	2023	88
Jordan Caron	Blues	0	0
Jordy Bellerive	Blues	0	0	Lien
Julius Bergman	Blues	0	0
Kaden Fulcher	Blues	0	0	Lien
Kalle Vaisanen	Blues	2021	113
Kris Bindulis	Blues	0	0
Kyle Kukkonen	Blues	2021	165
Landon Miller	Blues	2024	147
Liam Gorman	Blues	2018	190
Manuel Wiederer	Blues	0	0	Lien
Marcus Bjork	Blues	0	0	Lien
Marian Hossa	Blues	0	0
Mason Langenbrunner	Blues	2020	153
Mat Bodie	Blues	0	0
Matt Clark	Blues	0	0
Matt Hackett	Blues	0	0
Matt Hellickson	Blues	2017	215	Lien
Matt Niskanen	Blues	0	0	Lien
Matt Ustaski	Blues	2014	192
Maxim Golod	Blues	0	0	Lien
Maximilian Pajpach	Blues	2014	175
Nail Yakupov	Blues	0	0
Nathan Schnarr	Blues	0	0	Lien
Nick Baptiste	Blues	0	0	Lien
Nolan De Jong	Blues	0	0
Norwin Panocha	Blues	2023	212
Owen McLaughlin	Blues	2021	215
Patrik Berglund	Blues	0	0
Patrik Nemeth	Blues	0	0	Lien
Ryan MacInnis	Blues	0	0	Lien
Sam Harris	Blues	2023	150
Sam Henley	Blues	0	0
Sam O'Reilly	Blues	2024	31
Sean Tschigerl	Blues	2021	138
Sebastian Wannstrom	Blues	0	0
Sergey Andronov	Blues	0	0
Sergey Tolchinsky	Blues	0	0
Stefan Della Rovere	Blues	0	0
Vasily Podkolzin	Blues	0	0	Lien
Viktor Loov	Blues	0	0
Ville Meskanen	Blues	0	0	Lien
Vojtech Hradec	Blues	2024	178

Choix au repêchage

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

Islanders Come Back From 3-1 Series Deficit to Win Cup!

Par Trevor Robb (Islanders) Le Thursday 22nd June 2023 / 8:33pm

Arthur Staple (NY Post) - The New York Islanders are the 2023 DecHL Stanley Cup Champions defeating the Dallas Stars in a thrilling Game 7 today at the Nassau Coliseum. The Islanders' top line came to play as Alex DeBrincat opened the scoring just six seconds into the first period and the capacity crowd erupted. Jeff Skinner of the Stars tied things up at the 7:36 mark, but Mika Zibanejad regained the lead for the Islanders on the powerplay after Stars winger Alex Chiasson took a cross-checking penalty.

In the second period, Zibanejad scored two goals to make it 4-1 by completing the natural hat-trick giving the Islanders a three-goal lead. However, the Stars would not accept defeat, playoff-scoring leader Elias Pettersson would make it 4-2 at the 11:21 mark of the second period.

In the third period, Alex Chaisson would redeem himself by scoring his first goal of the playoffs bringing the Stars within one of the Islanders. At the 7:03 mark, Adrian Kempe of the Islanders would take an Interference penalty and the Stars' Robert Thomas would score his 6th goal of the playoffs and tie the game up at 4-4.

Once again the Islanders would find themselves heading to overtime in a Game 7 just like they did in the last series against the Senators. At the 2:52 mark of the first overtime period, it was all over! Alex Ovechkin would score his league-leading 18th goal by getting his own rebound off his initial shot from a Devon Toews pass to secure the 2023 Stanley Cup Championship.

Alex Ovechkin was awarded the Conn Smythe Trophy as the playoffs MVP for his 18 playoff goals including 2 series overtime game-winning goals, one in the Senators series and this one to win the Stanley Cup.

"What an amazing feeling, this team is a remarkable group of guys, and our coaching staff and management supported us through the playoffs. We were down 3-1 in the series to the Devils and Sorokin stepped in the net, not allowing a single goal in that game. We won 5-0 that night and that was the turning point for us in these playoffs," explained a jubilant Ovechkin.

"After the Stars handed us that 9-1 thrashing in Game 4 to go up 3-1 we sat down as a group and decided that we weren't going to play the Stars style of hockey. Coach Bylsma wanted us to go back and play Islanders hockey by focusing on defense first. We played one game at a time and won Game 5 and regained momentum. Winning our first road game in this series in Game 6 was a huge boost and our dressing room came to play tonight. I may have scored the game-winner tonight but it was a whole team effort to get us here," Added Ovechkin.

This was the Islanders' second consecutive trip to the Stanley Cup Finals. Last year the Islanders lost to the Edmonton Oilers in 6 games after finishing 1st overall to capture their first President's Trophy. I asked General Manager and Owner Trevor Robb what the team took away from last year's defeat to go on and win the Championship this year.

"Going into last year's playoffs I was chatting with San Jose Sharks GM, Gord Trann [2-time Stanley Cup Champion GM in 2015 and 2021] and I asked him if our 2022 roster was good enough to win the Cup. We had Brad Marchand, Mark Stone, Victor Hedman, Brendan Tanev, and Chris Tanev on the team, and while he said the roster was good to win, he was concerned about the lack of youth we had. In his experience having a balanced roster with younger guys and veterans was his key to success. When we got to the finals and fizzled out in 6 games, it hurt. However, when the season opened and the team was faced with losing 8 players to free agency, I had to trade some of our core assets and I made sure to bring in some youth. Bringing in Adrian Kempe, Troy Terry, and Noah Dobson, and matching the Ducks' RFA poaching contract on Jake Bean added some youth to our roster. Bean had a great series finishing with 8 points in the playoffs and a +3 in the Finals," explained Robb.

"I'm proud of this team when we were down they never gave up. I'm proud of our fans. I said that when I took this team over 11 years ago that I would bring the Stanley Cup back to Long Island and it finally happened. We didn't make the playoffs for the first 6 years after I took over the reins even though we had star players like Evgeny Malkin, Brent Seabrook, John Tavares, and Duncan Keith. I retooled the roster in 2019 and we have made the playoffs the last 5 years in a row, finally earning the Cup finally this year," added Robb.

I caught up with head coach Dan Bylsma and asked him about his decision to go with Sorokin in Game 5 of the Devils series down 3-1 in the series. Was that the turning point for him in these playoffs?

"Saros had played well in the Rangers series and we ran with him in the first 4 games of the Devils series. However, he sustained a minor injury at the start of the Devils' series, and while he could still play I could see it was affecting his ability to perform up to his full capabilities. Sorokin took over the goal duties and ran with it. He had the full confidence of the team because, during the regular season, I never ran the team with one of them being the number one starter. Both goalies were capable starters and I treated them like 1A and 1B starters both finished with similar regular season records, save percentages, and goals-against averages," explained Bylsma.

When asked about his decision to start Saros in Game 4 of the Finals where the Islanders lost 9-1 Bylsma had this to say.

"After dropping the next two games after our Game 1 win putting us down 2-1 Saros came to me and said that he was 100% healthy and could go in net if need be. I decided to give him the benefit of the doubt and switch things up. However, the team in its entirety didn't show up to play that night. The score of that game was no reflection on the performance of Saros, we simply did not play well as a whole and we needed to regroup," added Bylsma.

"Being down 3-1 after Game 4 I had to readdress our focus. From that game on we would play Islanders hockey and not try to match the offense of the Stars. Our focus was on defense, all defense! Defend, defend, defend! Focus on defense first and the offense will follow. That strategy worked as you can see by the results," added Bylsma.

The New York Islanders become the third team to win the Stanley Cup having won the President's Trophy for finishing 1st overall in the regular season standings in the same year. The San Jose Sharks did it in 2015 and the St. Louis Blues won both in 2019. The Islanders are locked in for another season their only UFAs this offseason are Adam Pelech and Jimmy Vesey. The Islanders will most likely try to auto-sign Pelech this offseason leaving Jimmy Vesey to go to the open market. With that in mind, the Islanders' roster today looks to be in good shape to make another run at the Cup next season.

DECHL STANLEY CUP CHAMPIONS (to Date)

***************************************************

2012	Montreal Canadiens (7)	over	Arizona Coyotes (3)
2013	New York Rangers (6)	over	Edmonton Oilers (1)
2014	Anaheim Ducks (8)	over	Philadelphia Flyers (6)
2015	San Jose Sharks (1)	over	Buffalo Sabres (15)
2016	Tampa Bay Lightning (9)	over	Nashville Predators (13)
2017	Edmonton Oilers (5)	over	Washington Capitals (4)
2018	Columbus Blue Jackets (4)	over	Anaheim Ducks (9)
2019	St. Louis Blues (1)	over	Detroit Red Wings (11)
2020	Montreal Canadiens (8)	over	Edmonton Oilers (15)
2021	San Jose Sharks (6)	over	Toronto Maple Leafs (9)
2022	Edmonton Oilers (7)	over	New York Islanders (1)
2023	New York Islanders (1)	over	Dallas Stars (11)

Stanley Cup Champion in BOLD
(Overall Regular Season Rankings)

***************************************************

Voir commentaires (1)

Jesse OReilly (

Blues) Le 24th June / 1:44am :

Congrats to the Islanders!!

Nouveau commentaire

Proposal for New Draft Rankings to Follow NHL for 2024

Par Gabriel Whiddon (Whalers) Le Monday 19th June 2023 / 9:55pm

Recently the Commish said the the current SIM allows him to use the bottom 5 teams for the draft lottery allowing those to move up a max of 5 spots. The current NHL uses a weighted system for all non-playoff teams where each of the 16 teams that miss the playoffs will have a chance to win with the teams earning significantly better odds at winning a high pick if they are lower in the standings. It’s also worth mentioning that a lottery win doesn’t guarantee one of the top-two picks in this year’s draft as teams can only jump a maximum of 10 spots, meaning that only the top 11 teams have a chance of landing the first overall pick. If a team ranked 12-16 ends up winning the lottery (unlikely but definitely possible) they could only jump up 10 spots to the sixth position, dropping every team below that spot by 1 spot. There is also a redraw for the second overall pick with the same rules applying of a team jumping a max of 10 spots.

I took this years Dechl final standings and assigned a team from the real NHL that finished in the exact same position from the real NHL standings and then used a site called Tankathon (https://www.tankathon.com/nhl) to redraw the teams for our draft. See chart below.

	2023 DECHL STANDINGS (REV ORDER)	2023 NHL STANDINGS (REV ORDER)	2023 DECHL DRAFT ORDER (Tankathon.com Mock Results) DECHL TEAM - (NHL TEAM)
1	Philadelphia Flyers	Anaheim Ducks	Columbus Blue Jackets - (MON) ↑4
2	Pittsburgh Penguins	Columbus Blue Jackets	Vancouver Canucks - (CHI) ↑2
3	Vancouver Canucks	Chicago Blackhawks	Philadelphia Flyers - (ANA) ↓2
4	Winnipeg Jets	San Jose Sharks	Pittsburgh Penguins - (CBJ) ↓2
5	Columbus Blue Jackets	Montreal Canadiens	Winnipeg Jets (SJS) - ↓1
6	Arizona Coyotes	Arizona Coyotes	Arizona Coyotes
7	Montreal Canadiens	Philadelphia Flyers	Montreal Canadiens
8	Las Vegas Golden Knights	Washington Capitals	Las Vegas Golden Knights
9	Nashville Predators	Detroit Red Wings	Nashville Predators
10	Chicago Blackhawks	St. Louis Blues	Chicago Blackhawks
11	Tampa Bay Lightning	Vancouver Canucks	Tampa Bay Lightning
12	Detroit Red Wings	Ottawa Senators	Detroit Red Wings
13	Boston Bruins	Buffalo Sabres	Boston Bruins
14	Minnesota Wild	Pittsburgh Penguins	Minnesota Wild
15	Florida Panthers	Nashville Preditors	Florida Panthers
16		Calgary Flames

In this case I ran the Tankathon simulator only once and came up with these results. If we had used this system for the Bedard sweepstakes this year. The Columbus Blue Jackets would have won the lottery this year jumping 2 spots. In the redraw for the second overall pick the Vancouver Canucks would have scored with a 2 spot jump as well. I look forward to your thoughts.

Gabe Whiddon - Hartford Whalers

Voir commentaires (3)

Alec McMillan (

Oilers) Le 21st June / 12:20am :

I do not mind changing the setting for future.... if someone wants to put a poll up on the forums server maybe? Looks like sim now support multiple lottery winners (up to 3) and 16 teams so we can implement this.

Mark Budey (

Capitals) Le 21st June / 1:33pm :

I like this idea

Jesse OReilly (

Blues) Le 24th June / 1:43am :

I like this!!

Nouveau commentaire

Blues Historique de transactions

[5/4/2026 9:54:10 PM] TRADE : From Wild to Blues : Lukas Dostal (73), Noah Hanifin (74).
[5/4/2026 9:54:10 PM] TRADE : From Blues to Wild : Kevin Lankinen (69), Sean Walker (71), Petteri Rimpinen (P), Y:2026-RND:1-STL, Y:2027-RND:3-STL.
[4/29/2026 6:17:09 PM] New Record for Team's Most Shots (60) in 1 Game for 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

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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: 72 \| W: 38 \| L: 27 \| OTL: 7 \| P: 83 GF: 326 \| GA: 301 \| PP%: 19.31% \| PK%: 85.48% DG: Jesse OReilly \| Morale : 53 \| Moyenne d’équipe : 73 Prochains matchs #1126 vs Senators