Cleveland Monsters
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Client Web pour la formation
Client Web pour les lignes

Centre de jeu
	Columbus Blue Jackets 62-14-6, 130pts	3	FINAL	5	Nashville Predators 55-22-5, 115pts

Team Stats
W1	Séquence	OTW1
30-7-4	Fiche domicile	30-7-4
32-7-2	Fiche visiteur	25-15-1
5-3-2	Derniers 10 matchs	6-3-1
4.07	Buts par match	3.79
2.74	Buts contre par match	2.93
25.14%	Pourcentage en avantage numérique	20.33%
83.12%	Pourcentage en désavantage numérique	82.63%

Carolina Hurricanes
22-54-6, 50pts

FINAL

Columbus Blue Jackets
62-14-6, 130pts

Team Stats
L2	Séquence	W1
13-26-2	Fiche domicile	30-7-4
9-28-4	Fiche visiteur	32-7-2
1-7-2	Derniers 10 matchs	5-3-2
2.57	Buts par match	4.07
4.16	Buts contre par match	2.74
16.15%	Pourcentage en avantage numérique	25.14%
71.77%	Pourcentage en désavantage numérique	83.12%

Meneurs d'équipe
	Buts Alex Tuch 46	Passes Cale Makar 61

	Points Elias Pettersson 99	Plus/Moins Roope Hintz 48

	Victoires Andrei Vasilevskiy 42	Pourcentage d’arrêts Cale Morris 0.938

Statistiques d’équipe
Buts pour 334 4.07 GFG	Tirs pour 2864 34.93 Avg	Pourcentage en avantage numérique 25.1% 89 GF	Début de zone offensive 43.0%
Buts contre 225 2.74 GAA	Tirs contre 2286 27.88 Avg	Pourcentage en désavantage numérique 83.1%% 40 GA	Début de la zone défensive 38.0%

Informations de l'équipe
	Directeur général	Alexandre Fyfe
	Entraîneur	Bruce Cassidy
	Division	Metropolitan
	Conférence	Eastern Conference
	Capitaine	Elias Pettersson
	Assistant #1	David Pastrnak
	Assistant #2
Informations de l’aréna
	Nom	Nationwide Arena
	Capacité	20,000
	Assistance	18,831
	Billets de saison	8,000
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	22
	Limite contact	43 / 250
	Espoirs	15
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	69,820,893$
	Plafond salarial disponible	12,679,107$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	75,093,143$
	Dépenses annuelles à ce jour	74,969,583$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	122,704,862$
	Compte bancaire projeté	122,704,862$

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	Andrew Cogliano	X	X	X		100.00	66	33	87	71	66	81	89	64	62	63	60	83	62	90	76	39	87	0		0	36	3	1,000,000$
2	David Pastrnak (A)		X	X		100.00	65	35	88	85	76	90	89	87	59	82	93	63	90	72	77	69	81	0		0	27	2	4,000,000$
3	Mark Stone			X		100.00	59	37	93	76	87	89	74	84	58	81	77	82	75	76	88	38	79	0		0	31	5	4,000,000$
4	Matt Nieto		X	X		100.00	64	37	93	67	72	83	89	65	59	63	62	76	64	78	72	56	91	0	N	0	30	4	2,750,000$
5	Chandler Stephenson	X	X			100.00	63	35	90	80	78	92	90	76	85	82	71	82	70	72	73	53	66	0		0	29	1	3,025,000$
6	Elias Pettersson (C)	X	X	X		100.00	61	35	95	85	76	92	90	86	74	84	83	84	83	67	77	85	80	0		0	24	4	7,800,000$
7	Alex Tuch		X	X		100.00	60	38	92	83	90	89	83	79	56	82	80	84	78	69	72	71	91	0		0	27	3	4,750,000$
8	J.T. Compher	X	X	X		100.00	56	40	88	74	72	91	89	73	80	74	71	85	69	71	70	63	83	0		0	28	3	3,500,000$
9	Alex Iafallo	X	X			100.00	57	35	94	73	75	88	86	72	58	73	71	84	70	73	74	35	91	0		0	29	2	2,450,000$
10	Roope Hintz	X	X			100.00	62	37	88	87	86	88	89	84	83	79	86	76	82	69	73	61	89	0		0	26	4	4,450,000$
11	Kirby Dach	X		X		100.00	62	44	79	76	89	87	84	75	70	73	67	71	75	63	65	89	87	0		0	22	2	2,500,000$
12	Cole Sillinger (R)	X				100.00	71	41	85	68	78	83	89	66	75	63	62	64	67	62	63	87	47	0		0	20	1	925,000$
13	Ryan Suter				X	100.00	61	36	87	67	78	93	90	65	30	76	60	77	52	92	79	36	86	0		0	38	4	2,000,000$
14	Charlie McAvoy				X	100.00	76	42	74	79	81	94	87	76	30	87	69	83	58	68	70	80	85	0		0	25	3	7,300,000$
15	Jake Walman (R)				X	100.00	66	39	80	74	81	90	81	71	30	71	74	89	58	68	71	98	68	0		0	27	3	750,000$
16	Ilya Lyubushkin				X	100.00	81	39	80	65	80	89	87	63	30	72	55	83	49	70	72	36	49	0		0	29	2	2,000,000$
17	Moritz Seider				X	100.00	84	37	86	77	87	94	90	74	30	82	62	86	54	62	65	88	84	0		0	22	1	925,000$
18	Cale Makar				X	100.00	68	34	87	85	70	95	86	80	30	92	83	84	63	66	71	86	78	0		0	24	4	9,000,000$
Rayé
1	Jake Sanderson (R)				X	69.51	57	36	95	71	82	92	74	68	30	72	57	84	52	60	61	88	74	0		0	21	2	925,000$
Équipe Mineure
1	Drew Stafford		X	X		100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0		0	37	1	750,000$
2	Nathan Gerbe	X				100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0		0	36	1	750,000$
3	Brandon Pirri	X	X	X		100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0		0	33	1	775,000$
4	Tye McGinn		X			100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0		0	33	1	750,000$
5	Jordan Szwarz			X		100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0		0	32	1	750,000$
6	Paul Carey	X				100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0		0	35	1	750,000$
7	Danick Martel		X			100.00	57	39	71	58	66	90	78	57	61	59	57	56	60	69	71	36	50	0		0	28	3	950,000$
8	Austin Czarnik	X		X		100.00	61	35	94	65	63	80	84	67	71	66	63	62	64	71	73	34	44	0		0	30	2	1,500,000$
9	Phillip Di Giuseppe		X			100.00	74	39	77	67	73	88	80	69	66	67	68	70	69	71	72	60	37	0		0	29	1	700,000$
10	Michael Pezzetta		X			100.00	90	78	64	65	79	73	83	64	57	61	62	56	60	65	67	47	48	0		0	25	1	750,000$
11	Vasily Podkolzin (R)			X		100.00	67	38	90	68	75	80	88	66	63	62	64	61	67	62	64	86	46	0		0	22	1	925,000$
12	Brandon Davidson				X	100.00	73	42	71	54	82	65	70	53	30	55	54	56	46	72	74	30	50	0		0	32	1	750,000$
13	Chad Ruhwedel				X	100.00	80	34	92	63	71	86	83	59	30	67	57	79	49	75	73	26	46	0		0	33	1	700,000$
14	Andreas Englund (R)				X	100.00	80	53	62	60	81	78	82	59	30	61	58	64	49	67	69	64	35	0		0	27	2	700,000$
15	Dennis Cholowski (R)				X	100.00	69	38	90	67	82	83	81	65	30	68	58	61	50	65	67	79	50	0		0	25	2	750,000$
16	Gustav Lindstrom				X	100.00	65	36	87	65	78	86	78	63	30	72	54	66	49	65	67	72	35	0		0	24	3	850,000$
17	Jordan Spence (R)				X	100.00	63	37	85	66	67	90	85	64	30	69	60	62	51	62	64	65	15	0		0	22	2	750,000$
18	Alexander Petrovic				X	100.00	81	71	72	59	90	68	86	58	30	57	55	61	47	71	73	59	50	0		0	31	3	900,000$
19	Zach Trotman				X	100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0		0	33	1	750,000$
20	Luke Witkowski				X	100.00	71	41	67	56	82	71	76	54	30	52	50	56	45	73	75	29	50	0		0	35	1	750,000$

	MOYENNE D’ÉQUIPE					98.40	65	37	87	76	79	89	86	74	54	76	71	80	67	71	72	66	79	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	Andrei Vasilevskiy	100.00	83	98	90	92	86	93	94	94	94	80	95	78	83	99	85	0	0	29	1	4,000,000$
2	Joonas Korpisalo	100.00	72	79	84	82	75	79	81	81	82	66	83	72	83	99	79	0	0	29	3	1,300,000$
Rayé
Équipe Mineure
1	Scott Wedgewood	100.00	71	89	75	81	74	78	80	80	81	67	81	72	85	99	24	0	0	31	2	700,000$
2	Cale Morris (R)	100.00	52	85	57	75	53	55	55	56	56	44	61	68	77	37	46	0	0	27	2	750,000$

	MOYENNE D’ÉQUIPE	100.00	78	89	87	87	81	86	88	88	88	73	89	75	83	99	82	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bruce Cassidy	85	91	88	82	87	81	60	CAN	58	3	4,200,000$

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	EG	HT	P/20	PSG	PSS	FW	FT	S1	S2	S3
1	Elias Pettersson	Columbus Blue Jackets	C/LW/RW	71	43	56	99	41	20	0	69	118	343	101	282	12.54%	11	1407	19.82	10	22	32	65	264	0	0	0	0	1	8	2	55.22%	134	0	0	1.41	0	2	0	0	7	11	6
2	Roope Hintz	Columbus Blue Jackets	C/LW	74	44	49	93	48	22	0	100	182	323	76	236	13.62%	10	1506	20.35	9	13	22	77	274	0	0	0	2	43	8	4	55.45%	2020	0	0	1.24	0	3	0	0	10	6	7
3	Alex Tuch	Columbus Blue Jackets	LW/RW	82	46	45	91	15	33	5	74	122	309	83	244	14.89%	16	1452	17.72	12	16	28	66	248	0	0	0	0	1	12	3	42.57%	101	0	1	1.25	0	3	1	0	11	6	2
4	Cale Makar	Columbus Blue Jackets	D	61	12	61	73	17	34	0	114	90	136	42	102	8.82%	75	1459	23.93	3	18	21	69	217	1	0	1	1	97	2	1	0%	0	0	0	1.00	0	0	0	0	8	5	5
5	David Pastrnak	Columbus Blue Jackets	LW/RW	72	34	37	71	19	36	0	113	77	239	67	165	14.23%	3	1301	18.07	9	11	20	43	231	0	0	0	0	9	6	3	40.00%	130	0	2	1.09	0	3	0	0	6	5	2
6	Mark Stone	Columbus Blue Jackets	RW	78	29	39	68	5	10	0	66	91	276	78	193	10.51%	13	1185	15.19	10	10	20	68	235	0	0	0	3	54	6	2	42.71%	192	0	1	1.15	1	2	0	0	3	4	5
7	Moritz Seider	Columbus Blue Jackets	D	74	19	45	64	16	73	5	139	68	134	34	76	14.18%	88	1641	22.18	12	15	27	83	226	0	0	0	1	158	3	1	0%	0	0	0	0.78	0	0	0	0	3	3	4
8	Chandler Stephenson	Columbus Blue Jackets	C/LW	71	22	41	63	16	26	0	80	155	190	52	129	11.58%	15	1359	19.15	9	14	23	39	208	0	0	0	0	51	2	2	53.46%	1691	0	0	0.93	1	1	0	0	3	1	8
9	Charlie McAvoy	Columbus Blue Jackets	D	70	11	48	59	9	46	0	104	73	94	34	76	11.70%	66	1508	21.55	7	23	30	59	257	0	0	0	1	53	2	0	0%	0	0	0	0.78	0	0	0	0	1	3	3
10	Ryan Suter	Columbus Blue Jackets	D	80	4	33	37	14	33	5	55	52	53	26	50	7.55%	82	1591	19.90	4	7	11	22	245	0	1	1	0	184	1	0	0%	0	0	0	0.46	0	0	0	1	0	1	1
11	Jake Walman	Columbus Blue Jackets	D	63	10	26	36	5	20	0	50	47	66	19	48	15.15%	75	1075	17.07	4	4	8	28	110	0	0	0	0	97	1	2	0%	0	0	0	0.67	0	0	0	0	1	4	2
12	Alex Iafallo	Columbus Blue Jackets	C/LW	82	16	18	34	7	12	0	41	85	169	53	120	9.47%	16	1211	14.78	0	0	0	6	29	0	0	0	7	248	4	0	41.41%	99	2	0	0.56	0	0	0	0	0	5	2
13	Kirby Dach	Columbus Blue Jackets	C/RW	82	10	23	33	44	29	5	130	65	145	28	100	6.90%	6	1402	17.10	3	4	7	24	105	0	0	0	0	5	2	2	45.65%	138	0	0	0.47	1	1	0	1	1	3	1
14	J.T. Compher	Columbus Blue Jackets	C/LW/RW	77	10	16	26	-9	10	0	30	130	134	34	86	7.46%	23	1002	13.02	1	1	2	3	31	0	0	0	6	207	1	1	50.31%	1135	1	0	0.52	0	0	0	0	1	0	1
15	Jake Sanderson	Columbus Blue Jackets	D	64	4	22	26	29	39	5	34	70	53	12	23	7.55%	86	1300	20.32	0	0	0	2	22	0	0	0	0	140	1	0	0%	0	0	0	0.40	0	0	0	1	0	0	0
16	Jordan Spence	Cleveland Monsters (CBJ)	D	62	4	18	22	-14	24	0	56	37	55	16	29	7.27%	51	1100	17.75	1	4	5	19	154	0	1	1	0	51	0	0	0%	0	0	0	0.40	0	0	0	0	1	0	0
17	Chad Ruhwedel	Cleveland Monsters (CBJ)	D	43	3	14	17	20	20	0	55	25	21	3	19	14.29%	41	642	14.95	1	2	3	4	28	0	1	1	0	68	0	0	0%	0	0	0	0.53	0	0	0	0	2	0	2
18	Ilya Lyubushkin	Columbus Blue Jackets	D	66	2	12	14	11	58	0	112	51	24	10	20	8.33%	80	1132	17.16	0	0	0	1	20	0	1	1	0	144	0	0	0%	0	0	0	0.25	0	0	0	0	0	1	1
19	Matt Nieto	Columbus Blue Jackets	LW/RW	82	6	6	12	-4	14	0	32	44	47	11	44	12.77%	7	672	8.20	0	0	0	2	12	0	1	1	2	131	2	0	47.06%	34	0	0	0.36	0	0	0	0	0	0	0
20	Andrew Cogliano	Columbus Blue Jackets	C/LW/RW	80	4	6	10	-9	16	0	59	58	77	23	50	5.19%	11	743	9.30	0	1	1	2	24	0	0	0	0	64	0	0	48.26%	172	0	0	0.27	0	0	0	0	0	0	1
21	Vasily Podkolzin	Columbus Blue Jackets	RW	12	2	3	5	3	2	0	20	1	18	2	10	11.11%	1	179	14.93	0	0	0	1	14	1	0	1	2	3	2	0	28.57%	14	0	0	0.56	0	0	0	0	0	0	1
22	Phillip Di Giuseppe	Cleveland Monsters (CBJ)	LW	11	3	1	4	3	0	0	12	8	10	2	4	30.00%	0	84	7.66	0	0	0	0	1	0	0	0	0	0	0	1	45.45%	22	0	0	0.95	0	0	0	0	0	2	1
23	Cole Sillinger	Columbus Blue Jackets	C	16	1	3	4	3	2	0	14	24	17	4	13	5.88%	2	208	13.03	0	0	0	1	25	0	0	0	0	0	0	0	53.21%	265	0	0	0.38	0	0	0	0	0	0	0
24	Austin Czarnik	Cleveland Monsters (CBJ)	C/RW	18	1	1	2	-2	0	0	13	16	14	6	8	7.14%	0	199	11.08	0	0	0	0	14	0	0	0	1	11	1	0	41.89%	148	0	0	0.20	0	0	0	0	0	0	1
25	Gustav Lindstrom	Cleveland Monsters (CBJ)	D	12	0	2	2	4	10	0	12	4	3	1	4	0%	13	214	17.90	0	0	0	2	28	0	0	0	0	3	0	0	0%	0	0	0	0.19	0	0	0	0	0	0	0
26	Andreas Englund	Cleveland Monsters (CBJ)	D	7	0	1	1	0	8	0	17	3	0	0	0	0%	5	127	18.23	0	0	0	0	0	0	1	1	0	12	0	0	0%	0	0	0	0.16	0	0	0	0	0	0	0
27	Michael Pezzetta	Cleveland Monsters (CBJ)	LW	8	1	0	1	0	10	0	21	3	3	0	1	33.33%	0	74	9.30	0	0	0	0	0	0	0	0	0	0	0	0	43.08%	65	0	0	0.27	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1518	341	626	967	291	607	25	1622	1699	2953	817	2132	11.55%	796	25785	16.99	95	165	260	686	3036	2	6	8	26	1847	64	24	51.79%	6360	3	4	0.75	3	15	1	3	58	60	56

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Andrei Vasilevskiy	Columbus Blue Jackets	63	42	7	5	0.905	2.63	3513	0	4	154	1622	1	0	0.733	15	58	24	5	1	1
2	Joonas Korpisalo	Columbus Blue Jackets	30	20	6	1	0.898	2.80	1413	2	1	66	646	5	1	0	0	24	57	1	0	3
3	Scott Wedgewood	Cleveland Monsters (CBJ)	7	0	1	0	0.871	4.72	229	0	0	18	139	0	0	0	0	2	17	0	0	0
4	Cale Morris	Cleveland Monsters (CBJ)	1	0	1	0	0.938	2.40	25	0	0	1	16	0	1	0	0	0	1	0	0	0
Statistiques d’équipe totales ou en moyenne			101	62	15	6	0.901	2.77	5180	2	5	239	2423	6	2		15	84	99	6	1	4

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	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	Type	Salaire actuel	Plafond salarial Non Activé	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Salaire annuel 9	Salaire annuel 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
Alex Iafallo	Columbus Blue Jackets	C/LW	29	12/21/1993	No	200 Lbs	6 ft0	No	No	N/A		No	Yes	2		Pro & Farm	2,450,000$	2,450,000$	0$	No	2,450,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Alex Tuch	Columbus Blue Jackets	LW/RW	27	5/10/1996	No	219 Lbs	6 ft4	No	No	N/A		No	Yes	3		Pro & Farm	4,750,000$	4,750,000$	0$	No	4,750,000$	4,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Andrei Vasilevskiy	Columbus Blue Jackets	G	29	7/25/1994	No	220 Lbs	6 ft4	No	No	N/A		No	No	1		Pro & Farm	4,000,000$	4,000,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Andrew Cogliano	Columbus Blue Jackets	C/LW/RW	36	7/28/1987	No	179 Lbs	5 ft10	No	No	N/A		No	No	3		Pro Only	1,000,000$	1,000,000$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Cale Makar	Columbus Blue Jackets	D	24	10/30/1998	No	187 Lbs	5 ft11	No	No	N/A		No	No	4		Pro & Farm	9,000,000$	9,000,000$	0$	No	9,000,000$	9,000,000$	9,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Chandler Stephenson	Columbus Blue Jackets	C/LW	29	4/22/1994	No	209 Lbs	6 ft0	No	No	N/A		No	No	1		Pro & Farm	3,025,000$	3,025,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Charlie McAvoy	Columbus Blue Jackets	D	25	12/21/1997	No	209 Lbs	6 ft1	No	No	N/A		No	No	3		Pro & Farm	7,300,000$	7,300,000$	0$	No	7,300,000$	7,300,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Cole Sillinger	Columbus Blue Jackets	C	20	5/16/2003	Yes	201 Lbs	6 ft1	No	No	N/A		No	No	1		Pro & Farm	925,000$	925,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
David Pastrnak	Columbus Blue Jackets	LW/RW	27	5/25/1996	No	195 Lbs	6 ft1	No	No	N/A		No	No	2		Pro & Farm	4,000,000$	4,000,000$	0$	No	4,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Elias Pettersson	Columbus Blue Jackets	C/LW/RW	24	11/12/1998	No	176 Lbs	6 ft2	No	No	N/A		No	No	4		Pro & Farm	7,800,000$	7,800,000$	0$	No	7,800,000$	7,800,000$	7,800,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Ilya Lyubushkin	Columbus Blue Jackets	D	29	4/6/1994	No	200 Lbs	6 ft2	No	No	Trade	1/29/2024	No	No	2	1/29/2024	Pro & Farm	2,000,000$	2,000,000$	0$	No	2,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
J.T. Compher	Columbus Blue Jackets	C/LW/RW	28	4/8/1995	No	190 Lbs	6 ft0	No	No	N/A		No	No	3		Pro & Farm	3,500,000$	3,500,000$	0$	No	3,500,000$	3,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Jake Sanderson (sur la masse salariale)	Columbus Blue Jackets	D	21	7/8/2002	Yes	195 Lbs	6 ft3	No	No	N/A		No	No	2		Pro & Farm	925,000$	0$	0$	Yes	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Jake Walman	Columbus Blue Jackets	D	27	2/20/1996	Yes	215 Lbs	6 ft2	No	No	N/A		No	No	3		Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Joonas Korpisalo	Columbus Blue Jackets	G	29	4/28/1994	No	193 Lbs	6 ft3	No	No	N/A		No	No	3		Pro & Farm	1,300,000$	1,300,000$	0$	No	1,300,000$	1,300,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Kirby Dach	Columbus Blue Jackets	C/RW	22	1/21/2001	No	212 Lbs	6 ft4	No	No	N/A		No	Yes	2		Pro & Farm	2,500,000$	2,500,000$	0$	No	2,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Mark Stone	Columbus Blue Jackets	RW	31	5/13/1992	No	217 Lbs	6 ft3	No	No	N/A		No	No	5		Pro & Farm	4,000,000$	4,000,000$	0$	No	8,000,000$	8,000,000$	8,000,000$	8,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien
Matt Nieto	Columbus Blue Jackets	LW/RW	30	11/5/1992	No	187 Lbs	5 ft11	Yes	No	N/A		No	Yes	4		Pro & Farm	2,750,000$	2,750,000$	0$	No	2,750,000$	2,750,000$	2,750,000$	-	-	-	-	-	-	Yes	Yes	Yes	-	-	-	-	-	-	Lien
Moritz Seider	Columbus Blue Jackets	D	22	4/6/2001	No	204 Lbs	6 ft4	No	No	N/A		No	No	1		Pro & Farm	925,000$	925,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Roope Hintz	Columbus Blue Jackets	C/LW	26	11/17/1996	No	215 Lbs	6 ft3	No	No	N/A		No	No	4		Pro & Farm	4,450,000$	4,450,000$	0$	No	4,450,000$	4,450,000$	4,450,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Ryan Suter	Columbus Blue Jackets	D	38	7/28/1985	No	205 Lbs	6 ft1	No	No	N/A		No	No	4		Pro & Farm	2,000,000$	2,000,000$	0$	No	2,000,000$	2,000,000$	2,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	27.29	201 Lbs	6 ft2	2.71	3,302,381$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
69,350,000$	64,475,000$	52,600,000$	34,000,000$	8,000,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Andrew Cogliano	J.T. Compher	Kirby Dach	36	0	2	3
2	Alex Iafallo		Vasily Podkolzin	36	0	2	3
3	Matt Nieto	Cole Sillinger		23	0	3	2
4	Alex Tuch	Mark Stone	David Pastrnak	5	0	4	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ilya Lyubushkin		38	0	3	2
2		Ryan Suter	32	0	3	2
3		Charlie McAvoy	24	0	4	1
4			6	0	3	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alex Tuch		David Pastrnak	65	0	1	4
2	Alex Iafallo	J.T. Compher	Mark Stone	35	0	1	4

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1			65	0	2	3
2	Charlie McAvoy	Ryan Suter	35	0	2	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Andrew Cogliano	Matt Nieto	60	1	4	0
2		Alex Iafallo	40	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Suter	Ilya Lyubushkin	55	1	4	0
2			45	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Andrew Cogliano	55	1	4	0	Ilya Lyubushkin		55	1	4	0
2	Matt Nieto	45	1	4	0		Ryan Suter	45	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Cole Sillinger	Matt Nieto	60	0	1	4
2	Andrew Cogliano	Vasily Podkolzin	40	0	1	4

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Ilya Lyubushkin	60	0	3	2
2		Ryan Suter	40	0	3	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Alex Iafallo	Cole Sillinger	Vasily Podkolzin

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Matt Nieto	J.T. Compher	Andrew Cogliano	Ilya Lyubushkin

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Alex Tuch, Cole Sillinger, Matt Nieto	Matt Nieto, Alex Iafallo	Vasily Podkolzin

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Ilya Lyubushkin, ,	Ryan Suter	Jake Walman,

Tirs de pénalité
Cole Sillinger, Vasily Podkolzin, J.T. Compher, Alex Tuch, Alex Iafallo

Gardien
#1 : Andrei Vasilevskiy, #2 : Joonas Korpisalo

Lignes d’attaque personnalisées en prolongation
Cole Sillinger, Vasily Podkolzin, Alex Tuch, , Andrew Cogliano, Alex Iafallo, Alex Iafallo, Matt Nieto, Kirby Dach, , J.T. Compher

Lignes de défense personnalisées en prolongation
Ilya Lyubushkin, , , Ryan Suter, Jake Walman

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	Anaheim Ducks	2	1	0	0	0	0	1	0	12	9	3	1	0	0	0	0	0	1	0	4	3	1	1	1	0	0	0	0	0	0	8	6	2	4	1.000	12	20	32	0	0	2	4	5	2	71	22	24	25	6	50	17	14	29	15	6	40.00%	7	2	71.43%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	52	38	47	14	25	13
2	Arizona Coyotes	2	1	0	0	1	0	0	0	7	5	2	1	0	0	0	1	0	0	0	5	4	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	7	12	19	0	0	1	3	2	1	61	12	25	22	2	72	16	10	32	9	1	11.11%	5	1	80.00%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	48	33	47	15	25	12
3	Boston Bruins	3	3	0	0	0	0	0	0	16	8	8	2	2	0	0	0	0	0	0	11	7	4	1	1	0	0	0	0	0	0	5	1	4	6	1.000	16	29	45	0	0	5	4	7	0	101	26	30	45	0	69	12	14	65	11	5	45.45%	5	1	80.00%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	81	58	60	19	38	20
4	Buffalo Sabres	3	2	0	0	1	0	0	0	11	3	8	1	0	0	0	1	0	0	0	2	1	1	2	2	0	0	0	0	0	0	9	2	7	6	1.000	11	16	27	0	1	3	6	1	1	106	33	42	27	4	63	18	20	44	18	4	22.22%	10	0	100.00%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	81	57	61	22	38	20
5	Calgary Flames	2	1	1	0	0	0	0	0	7	7	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	5	4	1	2	0.500	7	12	19	0	0	3	2	2	0	72	17	29	26	0	62	12	10	38	9	2	22.22%	5	1	80.00%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	49	33	44	14	26	14
6	Carolina Hurricanes	4	3	0	0	1	0	0	0	20	11	9	2	2	0	0	0	0	0	0	9	4	5	2	1	0	0	1	0	0	0	11	7	4	8	1.000	20	35	55	0	0	10	2	7	1	154	58	35	60	1	103	26	22	74	12	3	25.00%	11	1	90.91%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	109	78	84	27	49	26
7	Chicago Blackhawks	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	3	2	1	4	1.000	10	19	29	0	0	4	1	5	0	66	22	24	20	0	42	13	8	39	16	5	31.25%	4	1	75.00%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	56	41	39	14	24	12
8	Colorado Avalanche	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	3	2	4	1.000	10	18	28	0	0	4	2	4	0	87	30	30	27	0	61	21	4	26	12	4	33.33%	2	0	100.00%	1	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	56	42	38	12	24	13
9	Dallas Stars	2	1	1	0	0	0	0	0	7	8	-1	1	0	1	0	0	0	0	0	4	6	-2	1	1	0	0	0	0	0	0	3	2	1	2	0.500	7	12	19	0	0	4	3	0	0	45	18	16	11	0	58	17	14	50	4	1	25.00%	7	1	85.71%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	45	30	47	14	26	13
10	Detroit Red Wings	3	2	1	0	0	0	0	0	12	6	6	1	0	1	0	0	0	0	0	3	5	-2	2	2	0	0	0	0	0	0	9	1	8	4	0.667	12	21	33	0	1	4	3	5	0	111	32	31	48	0	81	37	22	62	17	5	29.41%	9	1	88.89%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	80	58	65	20	34	18
11	Edmonton Oilers	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	6	3	3	4	1.000	10	18	28	0	0	5	2	3	0	92	37	28	27	0	52	7	10	42	11	4	36.36%	4	0	100.00%	1	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	55	41	39	14	24	12
12	Florida Panthers	3	2	0	0	0	1	0	0	16	13	3	1	1	0	0	0	0	0	0	7	5	2	2	1	0	0	0	1	0	0	9	8	1	5	0.833	16	26	42	0	0	4	6	6	0	101	32	28	38	3	92	20	12	57	9	3	33.33%	6	0	100.00%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	72	50	69	22	39	19
13	Los Angeles Kings	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	3	1	2	2	0.500	5	10	15	1	0	3	1	1	0	80	17	30	33	0	50	17	10	37	5	0	0.00%	4	1	75.00%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	56	41	38	12	25	13
14	Minnesota Wild	2	2	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	2	0	2	4	1.000	5	9	14	0	1	2	2	1	0	73	33	26	14	0	50	13	24	38	15	1	6.67%	10	0	100.00%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	52	37	44	13	22	11
15	Montreal Canadiens	3	3	0	0	0	0	0	0	16	5	11	1	1	0	0	0	0	0	0	4	2	2	2	2	0	0	0	0	0	0	12	3	9	6	1.000	16	30	46	0	0	3	7	6	0	100	37	33	30	0	77	32	30	61	11	6	54.55%	14	1	92.86%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	77	55	64	21	38	19
16	Nashville Predators	2	0	2	0	0	0	0	0	7	10	-3	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	7	13	20	0	0	1	4	2	0	64	13	23	28	0	66	37	18	35	12	3	25.00%	9	3	66.67%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	47	32	47	15	25	12
17	New Jersey Devils	4	3	1	0	0	0	0	0	13	9	4	2	2	0	0	0	0	0	0	6	2	4	2	1	1	0	0	0	0	0	7	7	0	6	0.750	13	25	38	1	1	2	6	5	0	154	52	47	55	0	117	35	26	79	17	3	17.65%	11	2	81.82%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	107	78	84	27	48	25
18	New York Islanders	3	1	1	0	1	0	0	0	10	10	0	2	0	1	0	1	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	4	2	2	4	0.667	10	18	28	0	0	4	3	2	1	78	23	32	22	1	90	25	39	54	9	2	22.22%	10	1	90.00%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	67	47	74	23	38	18
19	New York Rangers	4	4	0	0	0	0	0	0	18	12	6	2	2	0	0	0	0	0	0	7	5	2	2	2	0	0	0	0	0	0	11	7	4	8	1.000	18	30	48	0	0	3	7	8	0	159	46	50	63	0	121	45	33	80	18	6	33.33%	14	3	78.57%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	101	70	85	28	52	27
20	Ottawa Senators	3	3	0	0	0	0	0	0	13	8	5	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	4	2	2	6	1.000	13	24	37	0	0	5	4	4	0	83	32	25	26	0	104	28	20	63	7	1	14.29%	10	2	80.00%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	75	51	66	23	38	18
21	Philadelphia Flyers	4	3	1	0	0	0	0	0	16	9	7	2	2	0	0	0	0	0	0	8	3	5	2	1	1	0	0	0	0	0	8	6	2	6	0.750	16	28	44	0	0	8	6	2	0	118	45	40	33	0	101	41	35	70	15	5	33.33%	9	3	66.67%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	94	66	95	28	50	24
22	Pittsburgh Penguins	4	3	0	0	0	1	0	0	15	7	8	2	1	0	0	0	1	0	0	6	4	2	2	2	0	0	0	0	0	0	9	3	6	7	0.875	15	29	44	0	0	6	5	4	0	147	54	47	46	0	99	14	22	64	23	3	13.04%	11	3	72.73%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	105	75	85	29	49	26
23	San Jose Sharks	2	1	1	0	0	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	0	4	-4	2	0.500	6	11	17	0	0	2	1	3	0	94	25	32	37	0	62	9	10	46	15	2	13.33%	5	3	40.00%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	52	36	42	15	25	13
24	Seattle Kraken	2	2	0	0	0	0	0	0	10	3	7	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	6	3	3	4	1.000	10	20	30	0	1	3	4	3	0	88	23	34	31	0	44	6	6	33	16	3	18.75%	3	0	100.00%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	55	38	37	15	27	14
25	St. Louis Blues	2	0	0	0	1	0	0	1	4	4	0	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	1	0	0	0	2	1	1	3	0.750	4	8	12	0	0	1	2	0	2	78	19	21	30	13	55	8	14	23	7	0	0.00%	7	1	85.71%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	53	38	45	16	27	14
26	Tampa Bay Lightning	3	0	1	0	2	0	0	0	13	13	0	2	0	0	0	2	0	0	0	10	8	2	1	0	1	0	0	0	0	0	3	5	-2	4	0.667	13	24	37	0	0	3	2	6	2	83	25	20	32	6	107	31	18	67	6	1	16.67%	9	1	88.89%	1	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	72	51	75	20	36	17
27	Toronto Maple Leafs	3	1	1	0	0	1	0	0	9	10	-1	2	0	1	0	0	1	0	0	4	6	-2	1	1	0	0	0	0	0	0	5	4	1	3	0.500	9	14	23	0	0	4	4	1	0	91	33	28	29	1	99	29	16	57	7	2	28.57%	6	1	83.33%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	74	53	71	21	35	18
28	Vancouver Canucks	2	2	0	0	0	0	0	0	10	3	7	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	1	4	4	1.000	10	18	28	0	0	5	2	3	0	73	21	27	25	0	40	7	12	34	6	2	33.33%	6	1	83.33%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	56	41	38	12	24	13
29	Vegas Golden Knights	2	1	0	0	0	0	0	1	10	9	1	1	0	0	0	0	0	0	1	5	6	-1	1	1	0	0	0	0	0	0	5	3	2	3	0.750	10	18	28	0	0	4	3	3	0	78	28	21	28	5	57	14	10	42	8	2	25.00%	5	2	60.00%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	50	35	47	15	26	13
30	Washington Capitals	3	1	1	0	0	1	0	0	10	9	1	1	1	0	0	0	0	0	0	5	2	3	2	0	1	0	0	1	0	0	5	7	-2	3	0.500	10	18	28	0	0	5	2	3	0	94	29	31	34	0	84	31	35	50	6	1	16.67%	12	2	83.33%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	73	51	70	22	38	19
31	Winnipeg Jets	2	1	1	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	6	11	17	0	0	2	2	2	0	62	21	24	17	0	58	26	16	43	8	3	37.50%	7	1	85.71%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	49	33	45	13	25	13
	Total	82	54	14	0	7	4	1	2	334	225	109	41	24	7	0	5	2	1	2	163	118	45	41	30	7	0	2	2	0	0	171	107	64	130	0.793	334	596	930	2	5	115	105	106	10	2864	915	933	989	42	2286	664	554	1534	354	89	25.14%	237	40	83.12%	3	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	2114	1502	1808	589	1033	533
	_Since Last GM Reset	82	54	14	0	7	4	1	2	334	225	109	41	24	7	0	5	2	1	2	163	118	45	41	30	7	0	2	2	0	0	171	107	64	130	0.793	334	596	930	2	5	115	105	106	10	2864	915	933	989	42	2286	664	554	1534	354	89	25.14%	237	40	83.12%	3	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	2114	1502	1808	589	1033	533
	_Vs Conference	50	34	7	0	5	4	0	0	208	133	75	25	16	3	0	4	2	0	0	97	68	29	25	18	4	0	1	2	0	0	111	65	46	82	0.820	208	367	575	1	3	69	67	67	5	1680	557	519	588	16	1407	424	364	947	186	50	26.88%	147	22	85.03%	1	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	1274	906	1117	358	626	320
	_Vs Division	26	18	4	0	2	2	0	0	102	67	35	13	10	1	0	1	1	0	0	47	28	19	13	8	3	0	1	1	0	0	55	39	16	42	0.808	102	183	285	1	1	38	31	31	2	904	307	282	313	2	715	217	212	471	100	23	23.00%	78	15	80.77%	0	1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%	659	468	581	187	326	167

			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
82	130	W1	334	596	930	2864	2286	664	554	1534	2	5

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	54	14	7	4	1	2	334	225

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	24	7	5	2	1	2	163	118

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	30	7	2	2	0	0	171	107

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
4	3	1	2	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
354	89	25.14%	237	40	83.12%	3

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
915	933	989	42	115	105	106	10

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
1630	3058	53.30%	1372	2704	50.74%	683	1346	50.74%

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
2114	1502	1808	589	1033	533

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
3	11	Philadelphia Flyers	2	Columbus Blue Jackets	5	BW			Sommaire du match
5	22	New York Rangers	3	Columbus Blue Jackets	4	BW			Sommaire du match
7	35	Detroit Red Wings	5	Columbus Blue Jackets	3	BL			Sommaire du match
11	63	Calgary Flames	3	Columbus Blue Jackets	2	BL			Sommaire du match
12	73	Columbus Blue Jackets	2	Minnesota Wild	0	AW			Sommaire du match
15	84	Anaheim Ducks	3	Columbus Blue Jackets	4	BW	X	X	Sommaire du match
17	103	Columbus Blue Jackets	8	Montreal Canadiens	1	AW			Sommaire du match
19	121	New York Islanders	4	Columbus Blue Jackets	5	BW	X		Sommaire du match
21	136	Columbus Blue Jackets	3	Dallas Stars	2	AW			Sommaire du match
24	146	Tampa Bay Lightning	4	Columbus Blue Jackets	5	BW	X		Sommaire du match
26	166	Columbus Blue Jackets	3	Washington Capitals	4	AL	X		Sommaire du match
28	176	Columbus Blue Jackets	5	Florida Panthers	3	AW			Sommaire du match
31	194	Dallas Stars	6	Columbus Blue Jackets	4	BL			Sommaire du match
33	210	Columbus Blue Jackets	4	Detroit Red Wings	0	AW			Sommaire du match
34	225	Columbus Blue Jackets	6	New York Rangers	5	AW			Sommaire du match
36	230	Pittsburgh Penguins	2	Columbus Blue Jackets	5	BW			Sommaire du match
38	243	Arizona Coyotes	4	Columbus Blue Jackets	5	BW	X		Sommaire du match
40	263	Columbus Blue Jackets	2	Washington Capitals	3	AL			Sommaire du match
41	268	Columbus Blue Jackets	5	Philadelphia Flyers	2	AW			Sommaire du match
44	280	Chicago Blackhawks	2	Columbus Blue Jackets	7	BW			Sommaire du match
46	297	Columbus Blue Jackets	4	New Jersey Devils	6	AL			Sommaire du match
48	318	Columbus Blue Jackets	5	Carolina Hurricanes	2	AW			Sommaire du match
49	321	Boston Bruins	4	Columbus Blue Jackets	6	BW			Sommaire du match
51	337	Montreal Canadiens	2	Columbus Blue Jackets	4	BW			Sommaire du match
53	354	Ottawa Senators	2	Columbus Blue Jackets	4	BW			Sommaire du match
55	371	Columbus Blue Jackets	5	Boston Bruins	1	AW			Sommaire du match
57	381	Los Angeles Kings	4	Columbus Blue Jackets	2	BL			Sommaire du match
59	397	Columbus Blue Jackets	4	New York Islanders	2	AW			Sommaire du match
60	405	St. Louis Blues	3	Columbus Blue Jackets	2	BL	X	X	Sommaire du match
62	420	Florida Panthers	5	Columbus Blue Jackets	7	BW			Sommaire du match
66	449	Columbus Blue Jackets	5	Toronto Maple Leafs	4	AW			Sommaire du match
68	464	New Jersey Devils	0	Columbus Blue Jackets	2	BW			Sommaire du match
71	485	Columbus Blue Jackets	2	Buffalo Sabres	0	AW			Sommaire du match
73	499	Washington Capitals	2	Columbus Blue Jackets	5	BW			Sommaire du match
75	518	Toronto Maple Leafs	2	Columbus Blue Jackets	1	BL	X		Sommaire du match
79	528	Columbus Blue Jackets	3	New Jersey Devils	1	AW			Sommaire du match
81	546	Toronto Maple Leafs	4	Columbus Blue Jackets	3	BL			Sommaire du match
82	556	Columbus Blue Jackets	7	Buffalo Sabres	2	AW			Sommaire du match
85	574	Boston Bruins	3	Columbus Blue Jackets	5	BW			Sommaire du match
87	592	Columbus Blue Jackets	3	Philadelphia Flyers	4	AL			Sommaire du match
89	610	Minnesota Wild	2	Columbus Blue Jackets	3	BW			Sommaire du match
92	631	Columbus Blue Jackets	2	Winnipeg Jets	3	AL			Sommaire du match
96	659	Seattle Kraken	0	Columbus Blue Jackets	4	BW			Sommaire du match
98	673	Vancouver Canucks	2	Columbus Blue Jackets	5	BW			Sommaire du match
102	703	New Jersey Devils	2	Columbus Blue Jackets	4	BW			Sommaire du match
106	736	Columbus Blue Jackets	6	Edmonton Oilers	3	AW			Sommaire du match
108	753	Columbus Blue Jackets	5	Calgary Flames	4	AW			Sommaire du match
110	771	Columbus Blue Jackets	5	Vancouver Canucks	1	AW			Sommaire du match
111	774	Columbus Blue Jackets	6	Seattle Kraken	3	AW			Sommaire du match
113	776	Columbus Blue Jackets	2	St. Louis Blues	1	AW	X		Sommaire du match
124	812	Tampa Bay Lightning	4	Columbus Blue Jackets	5	BW	X		Sommaire du match
127	826	Columbus Blue Jackets	4	Ottawa Senators	2	AW			Sommaire du match
131	861	Columbus Blue Jackets	0	San Jose Sharks	4	AL			Sommaire du match
134	883	Columbus Blue Jackets	3	Los Angeles Kings	1	AW			Sommaire du match
135	886	Columbus Blue Jackets	8	Anaheim Ducks	6	AW			Sommaire du match
137	900	Buffalo Sabres	1	Columbus Blue Jackets	2	BW	X		Sommaire du match
139	921	New York Rangers	2	Columbus Blue Jackets	3	BW			Sommaire du match
142	939	Columbus Blue Jackets	5	New York Rangers	2	AW			Sommaire du match
143	942	Carolina Hurricanes	1	Columbus Blue Jackets	5	BW			Sommaire du match
145	965	Columbus Blue Jackets	3	Chicago Blackhawks	2	AW			Sommaire du match
147	975	Vegas Golden Knights	6	Columbus Blue Jackets	5	BL	X	X	Sommaire du match
148	983	Columbus Blue Jackets	6	Pittsburgh Penguins	2	AW			Sommaire du match
150	995	Edmonton Oilers	3	Columbus Blue Jackets	4	BW			Sommaire du match
152	1010	Nashville Predators	5	Columbus Blue Jackets	4	BL			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155	1033	Columbus Blue Jackets	4	Montreal Canadiens	2	AW			Sommaire du match
157	1047	Ottawa Senators	4	Columbus Blue Jackets	5	BW			Sommaire du match
159	1066	San Jose Sharks	4	Columbus Blue Jackets	6	BW			Sommaire du match
160	1076	Winnipeg Jets	2	Columbus Blue Jackets	4	BW			Sommaire du match
162	1083	Columbus Blue Jackets	5	Detroit Red Wings	1	AW			Sommaire du match
165	1111	Columbus Blue Jackets	5	Colorado Avalanche	3	AW			Sommaire du match
166	1123	Columbus Blue Jackets	5	Vegas Golden Knights	3	AW			Sommaire du match
169	1145	Columbus Blue Jackets	2	Arizona Coyotes	1	AW			Sommaire du match
171	1154	Columbus Blue Jackets	3	Pittsburgh Penguins	1	AW			Sommaire du match
173	1172	Pittsburgh Penguins	2	Columbus Blue Jackets	1	BL	X		Sommaire du match
175	1181	Colorado Avalanche	1	Columbus Blue Jackets	5	BW			Sommaire du match
178	1203	New York Islanders	4	Columbus Blue Jackets	1	BL			Sommaire du match
180	1222	Philadelphia Flyers	1	Columbus Blue Jackets	3	BW			Sommaire du match
181	1230	Columbus Blue Jackets	6	Carolina Hurricanes	5	AW	X		Sommaire du match
183	1245	Columbus Blue Jackets	3	Tampa Bay Lightning	5	AL			Sommaire du match
185	1256	Columbus Blue Jackets	4	Florida Panthers	5	AL	X		Sommaire du match
187	1278	Columbus Blue Jackets	3	Nashville Predators	5	AL			Sommaire du match
190	1296	Carolina Hurricanes	3	Columbus Blue Jackets	4	BW			Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5100	3000	4500	1400
Prix des billets	100	60	35	20	200
Assistance	210,818	207,942	123,000	180,527	49,799
Attendance PCT	85.70%	99.45%	100.00%	97.85%	86.76%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
0	18831 - 94.16%	1,831,540$	75,093,143$	20000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
74,969,583$	69,350,000$	71,150,000$	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
361,198$	69,820,893$	0$	21	1

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	383,073$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	122,704,862$	122,704,862$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
69,820,893$	12,679,107$	82,500,000$	8,820,893$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Elias Pettersson	AGE:24	PO:85	OV:0
Alex Tuch	AGE:27	PO:71	OV:0
David Pastrnak	AGE:27	PO:69	OV:0
J.T. Compher	AGE:28	PO:63	OV:0
Roope Hintz	AGE:26	PO:61	OV:0
Phillip Di Giuseppe	AGE:29	PO:60	OV:0
Matt Nieto	AGE:30	PO:56	OV:0
Chandler Stephenson	AGE:29	PO:53	OV:0
Michael Pezzetta	AGE:25	PO:47	OV:0
Andrew Cogliano	AGE:36	PO:39	OV:0
Danick Martel	AGE:28	PO:36	OV:0
Alex Iafallo	AGE:29	PO:35	OV:0
Drew Stafford	AGE:37	PO:11	OV:0
Brandon Pirri	AGE:33	PO:11	OV:0
Tye McGinn	AGE:33	PO:11	OV:0

Kirby Dach	AGE:22	PO:89	OV:0
Cole Sillinger (R)	AGE:20	PO:87	OV:0
Elias Pettersson	AGE:24	PO:85	OV:0
J.T. Compher	AGE:28	PO:63	OV:0
Roope Hintz	AGE:26	PO:61	OV:0
Chandler Stephenson	AGE:29	PO:53	OV:0
Andrew Cogliano	AGE:36	PO:39	OV:0
Alex Iafallo	AGE:29	PO:35	OV:0
Austin Czarnik	AGE:30	PO:34	OV:0
Nathan Gerbe	AGE:36	PO:11	OV:0
Brandon Pirri	AGE:33	PO:11	OV:0
Paul Carey	AGE:35	PO:11	OV:0

Kirby Dach	AGE:22	PO:89	OV:0
Vasily Podkolzin (R)	AGE:22	PO:86	OV:0
Elias Pettersson	AGE:24	PO:85	OV:0
Alex Tuch	AGE:27	PO:71	OV:0
David Pastrnak	AGE:27	PO:69	OV:0
J.T. Compher	AGE:28	PO:63	OV:0
Matt Nieto	AGE:30	PO:56	OV:0
Andrew Cogliano	AGE:36	PO:39	OV:0
Mark Stone	AGE:31	PO:38	OV:0
Austin Czarnik	AGE:30	PO:34	OV:0
Drew Stafford	AGE:37	PO:11	OV:0
Brandon Pirri	AGE:33	PO:11	OV:0
Jordan Szwarz	AGE:32	PO:11	OV:0

Défense #1

Défense #2

Gardien

Jake Walman (R)	AGE:27	PO:98	OV:0
Moritz Seider	AGE:22	PO:88	OV:0
Jake Sanderson (R)	AGE:21	PO:88	OV:0
Cale Makar	AGE:24	PO:86	OV:0
Charlie McAvoy	AGE:25	PO:80	OV:0
Dennis Cholowski (R)	AGE:25	PO:79	OV:0
Gustav Lindstrom	AGE:24	PO:72	OV:0
Jordan Spence (R)	AGE:22	PO:65	OV:0

Andreas Englund (R)	AGE:27	PO:64	OV:0
Alexander Petrovic	AGE:31	PO:59	OV:0
Ryan Suter	AGE:38	PO:36	OV:0
Ilya Lyubushkin	AGE:29	PO:36	OV:0
Brandon Davidson	AGE:32	PO:30	OV:0
Luke Witkowski	AGE:35	PO:29	OV:0
Chad Ruhwedel	AGE:33	PO:26	OV:0
Zach Trotman	AGE:33	PO:11	OV:0

Andrei Vasilevskiy	AGE:29	PO:99	OV:0
Scott Wedgewood	AGE:31	PO:99	OV:0
Joonas Korpisalo	AGE:29	PO:99	OV:0
Cale Morris (R)	AGE:27	PO:37	OV:0

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	Information	Date de la Dernière Transaction	Lien
Alexander Holtz	Columbus Blue Jackets	0	0
Anton Burdasov	Columbus Blue Jackets	0	0
Charlie Stramel	Columbus Blue Jackets	0	0
Chaz Lucius	Columbus Blue Jackets	0	0
Danila Yurov	Columbus Blue Jackets	0	0
Dmitri Simashev	Columbus Blue Jackets	0	0
Dylan Holloway	Columbus Blue Jackets	0	0
Filip Mesar	Columbus Blue Jackets	0	0
Jonathan Lekkerimaki	Columbus Blue Jackets	0	0
Juraj Slafkovsky	Columbus Blue Jackets	0	0
Kari Lehtonen	Columbus Blue Jackets	0	0
Liam Ohgren	Columbus Blue Jackets	0	0
Linus Nassen	Columbus Blue Jackets	0	0
Mirco Mueller	Columbus Blue Jackets	0	0
Pavel Mintyukov	Columbus Blue Jackets	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
21	SJS CBJ
22	CBJ	CBJ	CBJ			CBJ
23	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
24	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
25	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
Choix au repêchage conditionnel	MTL - Y:21 - R:1 /

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 ou du STHS.

Columbus Blue Jackets Historique de transactions

[2/19/2024 9:26:25 PM] - TRADE : From Columbus Blue Jackets to Toronto Maple Leafs : Tomas Hertl.
[2/19/2024 9:26:25 PM] - TRADE : From Toronto Maple Leafs to Columbus Blue Jackets : Jordan Spence, Y:21-RND:1-SJS.
[2/19/2024 8:55:52 PM] - TRADE : From Columbus Blue Jackets to Detroit Red Wings : Anthony Cirelli.
[2/19/2024 8:55:52 PM] - TRADE : From Detroit Red Wings to Columbus Blue Jackets : Tomas Hertl.
[1/29/2024 8:35:10 PM] - TRADE : From Columbus Blue Jackets to Edmonton Oilers : Jan Mysak (P).
[1/29/2024 8:35:10 PM] - TRADE : From Edmonton Oilers to Columbus Blue Jackets : Ilya Lyubushkin.
[1/28/2024 8:20:37 PM] - TRADE : From Edmonton Oilers to Columbus Blue Jackets : Jan Mysak (P).
[1/28/2024 8:20:37 PM] - TRADE : From Columbus Blue Jackets to Edmonton Oilers : Ilya Lyubushkin.
[1/28/2024 8:17:54 PM] - TRADE : From Columbus Blue Jackets to Edmonton Oilers : Jan Mysak (P).
[1/28/2024 8:17:54 PM] - TRADE : From Edmonton Oilers to Columbus Blue Jackets : Ilya Lyubushkin.
[12/13/2023 8:12:09 PM] - TRADE : From Columbus Blue Jackets to Minnesota Wild : Dylan Strome, Nikita Alexandrov, Elias Pettersson (P).
[12/13/2023 8:12:09 PM] - TRADE : From Minnesota Wild to Columbus Blue Jackets : J.T. Compher, Jonathan Lekkerimaki (P).
[11/24/2023 8:19:17 PM] - TRADE : From Columbus Blue Jackets to Minnesota Wild : Y:22-RND:5-CBJ, Y:22-RND:7-CBJ.
[11/24/2023 8:19:17 PM] - TRADE : From Minnesota Wild to Columbus Blue Jackets : Gustav Lindstrom, Alexander Petrovic.
[11/16/2023 8:41:47 PM] - TRADE : From Columbus Blue Jackets to Carolina Hurricanes : Y:22-RND:4-CBJ.
[11/16/2023 8:41:47 PM] - TRADE : From Carolina Hurricanes to Columbus Blue Jackets : Scott Wedgewood.
[11/5/2023 9:30:11 PM] - TRADE : From Columbus Blue Jackets to Colorado Avalanche : Calen Addison, Nicholas Robertson, Jordie Benn, Y:21-RND:2-BOS, Y:21-RND:5-CAR, Y:21-RND:7-CBJ.
[11/5/2023 9:30:11 PM] - TRADE : From Colorado Avalanche to Columbus Blue Jackets : Mark Stone, Jake Walman.
[11/5/2023 9:28:56 PM] - TRADE : From Columbus Blue Jackets to Seattle Kraken : Y:21-RND:7-LAK.
[11/5/2023 9:28:56 PM] - TRADE : From Seattle Kraken to Columbus Blue Jackets : Jordie Benn.
[10/4/2023 5:33:43 PM] - TRADE : From Columbus Blue Jackets to Boston Bruins : Christian Dvorak, Dante Fabbro.
[10/4/2023 5:33:43 PM] - TRADE : From Boston Bruins to Columbus Blue Jackets : Nicholas Robertson, Y:21-RND:2-BOS.
[10/3/2023 3:42:40 PM] - Joe Veleno has been deleted from Columbus Blue Jackets.
[10/3/2023 3:42:36 PM] - Michael Pezzetta has been deleted from Columbus Blue Jackets.
[10/3/2023 3:42:30 PM] - Jake Sanderson has been deleted from Columbus Blue Jackets.
[10/3/2023 3:42:25 PM] - Cale Morris has been deleted from Columbus Blue Jackets.
[10/3/2023 3:42:20 PM] - Vasili Podkolzin has been deleted from Columbus Blue Jackets.
[10/3/2023 3:42:15 PM] - Cole Sillinger has been deleted from Columbus Blue Jackets.
[10/1/2023 2:13:15 PM] - Joakim Nordstrom was released.
[10/1/2023 2:13:15 PM] - Emerson Etem was released.

[4/1/2024 6:50:08 PM] Auto Lines Farm Function has been run for Cleveland Monsters.
[4/1/2024 6:50:08 PM] Auto Roster Farm Only Function has been run for Columbus Blue Jackets.
[4/1/2024 6:49:48 PM] Chandler Stephenson from Columbus Blue Jackets is back from Bruised Right Foot Injury.
[4/1/2024 6:49:40 PM] Auto Lines Farm Function has been run for Cleveland Monsters.
[4/1/2024 6:49:39 PM] Auto Roster Farm Only Function has been run for Columbus Blue Jackets.
[3/31/2024 6:18:19 PM] Auto Lines Farm Function has been run for Cleveland Monsters.
[3/31/2024 6:18:19 PM] Auto Roster Farm Only Function has been run for Columbus Blue Jackets.
[3/31/2024 6:17:55 PM] Jordan Spence of Columbus Blue Jackets was sent down to farm.
[3/31/2024 6:17:55 PM] Gustav Lindstrom of Columbus Blue Jackets was sent down to farm.
[3/31/2024 6:17:55 PM] Moritz Seider of Columbus Blue Jackets was sent to pro.
[3/31/2024 6:17:55 PM] Austin Czarnik of Columbus Blue Jackets was sent down to farm.
[3/28/2024 7:05:31 PM] Game 1296 - Chandler Stephenson from Columbus Blue Jackets is injured (Bruised Right Foot) and is out for 1 week.
[3/28/2024 7:04:57 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:24.200.177.238 .
[3/28/2024 7:04:23 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:24.200.177.238 .
[3/28/2024 7:04:23 PM] Andreas Englund of Columbus Blue Jackets was sent down to farm.
[3/28/2024 7:04:23 PM] Chad Ruhwedel of Columbus Blue Jackets was sent down to farm.
[3/27/2024 7:01:32 PM] Maximum Pro Players Limit Reached for Columbus Blue Jackets!
[3/26/2024 6:05:46 PM] Maximum Pro Players Limit Reached for Columbus Blue Jackets!
[3/26/2024 6:05:07 PM] Ryan Suter from Columbus Blue Jackets is back from Bruised Right Foot Injury.
[3/25/2024 6:34:31 PM] Maximum Pro Players Limit Reached for Columbus Blue Jackets!
[3/25/2024 6:34:11 PM] Vasily Podkolzin of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:34:11 PM] Jordan Spence of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:34:11 PM] Cole Sillinger of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:34:11 PM] Gustav Lindstrom of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:34:11 PM] Moritz Seider of Columbus Blue Jackets was sent to farm.
[3/25/2024 6:34:11 PM] Phillip Di Giuseppe of Columbus Blue Jackets was sent to farm.
[3/25/2024 6:34:11 PM] Andreas Englund of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:34:11 PM] Austin Czarnik of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:34:11 PM] Farm Game #1094 - Danick Martel from Cleveland Monsters has scored a Hat Trick!
[3/25/2024 6:34:06 PM] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[3/25/2024 6:34:06 PM] Auto Roster Function has been run for Columbus Blue Jackets.
[3/25/2024 6:34:06 PM] Gustav Lindstrom of Columbus Blue Jackets was sent to farm.
[3/25/2024 6:34:06 PM] Cole Sillinger of Columbus Blue Jackets was sent to farm.
[3/25/2024 6:34:06 PM] Vasily Podkolzin of Columbus Blue Jackets was sent to farm.
[3/25/2024 6:34:06 PM] Austin Czarnik of Columbus Blue Jackets was sent to farm.
[3/25/2024 6:34:06 PM] Jordan Spence of Columbus Blue Jackets was sent to farm.
[3/25/2024 6:34:06 PM] Andreas Englund of Columbus Blue Jackets was sent to farm.
[3/25/2024 6:34:06 PM] Phillip Di Giuseppe of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:34:06 PM] Moritz Seider of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:34:06 PM] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[3/25/2024 6:34:02 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:23.233.174.146 .
[3/25/2024 6:33:49 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:23.233.174.146 .
[3/25/2024 6:33:49 PM] Vasily Podkolzin of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:33:49 PM] Jordan Spence of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:33:49 PM] Cole Sillinger of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:33:49 PM] Gustav Lindstrom of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:33:49 PM] Moritz Seider of Columbus Blue Jackets was sent down to farm.
[3/25/2024 6:33:49 PM] Phillip Di Giuseppe of Columbus Blue Jackets was sent down to farm.
[3/25/2024 6:33:49 PM] Andreas Englund of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:33:49 PM] Austin Czarnik of Columbus Blue Jackets was sent to pro.

Jake Sanderson est dehors pour 2 semaines à cause de Sprained Right Knee Injury.

Columbus Blue Jackets 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

Columbus Blue Jackets 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

Columbus Blue Jackets 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

Columbus Blue Jackets 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

Columbus Blue Jackets 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

	Columbus Blue Jackets
	GP: 82 \| W: 62 \| L: 14 \| OTL: 6 \| P: 130 GF: 334 \| GA: 225 \| PP%: 25.14% \| PK%: 83.12% DG: Alexandre Fyfe \| Morale : 95 \| Moyenne d’équipe : N/A