Lillehammer IK
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Statistiques d’équipe en carrière

Centre de jeu
	Detroit Red Wings 4-6-0, 8pts	7	FINAL	5	Columbus Blue Jackets 2-4-0, 4pts

Team Stats
L4	Séquence	L2
1-4-0	Fiche domicile	0-3-0
3-2-0	Fiche visiteur	2-1-0
4-6-0	Derniers 10 matchs	2-4-0
3.90	Buts par match	4.33
4.80	Buts contre par match	4.50
15.56%	Pourcentage en avantage numérique	0.00%
96.55%	Pourcentage en désavantage numérique	80.00%

Columbus Blue Jackets
2-4-0, 4pts

FINAL

Detroit Red Wings
4-6-0, 8pts

Team Stats
L2	Séquence	L4
0-3-0	Fiche domicile	1-4-0
2-1-0	Fiche visiteur	3-2-0
2-4-0	Derniers 10 matchs	4-6-0
4.33	Buts par match	3.90
4.50	Buts contre par match	4.80
0.00%	Pourcentage en avantage numérique	15.56%
80.00%	Pourcentage en désavantage numérique	96.55%

Meneurs d'équipe
	Buts Aleksander Barkov 4	Passes Aleksander Barkov 10

	Points Aleksander Barkov 14	Plus/Moins Aleksander Barkov 5

	Victoires Linus Ullmark 2	Pourcentage d’arrêts Linus Ullmark 0.86

Statistiques d’équipe
Buts pour 26 4.33 GFG	Tirs pour 174 29.00 Avg	Pourcentage en avantage numérique 0.0% 0 GF	Début de zone offensive 36.2%
Buts contre 27 4.50 GAA	Tirs contre 189 31.50 Avg	Pourcentage en désavantage numérique 80.0%% 6 GA	Début de la zone défensive 38.8%

Informations de l'équipe
	Directeur général	Franz Fedigan
	Entraîneur	Alexei Kovalev
	Division	Gretzky
	Conférence	Clarence Campbell
	Capitaine	Claude Giroux
	Assistant #1	Aleksander Barkov
	Assistant #2
Informations de l’aréna
	Nom	Nationwide Arena
	Capacité	18,000
	Assistance	0
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	37
	Limite contact	60 / 250
	Espoirs	11
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	999,999,999$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	100,000,000$
	Compte bancaire projeté	100,000,000$
Historique d'équipe
	Saison actuelle	2-4
	Historique	0-0-0

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 joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Aleksander Barkov (A)	0	X				100.00	70	43	88	83	86	90	88	91	85	87	83	83	86	84	86	1	78	81	0	28	24	750,000$
2	Claude Giroux (C)	0	X		X		100.00	72	50	76	86	73	90	94	91	91	84	86	75	88	91	89	1	78	81	0	35	24	750,000$
3	Tage Thompson	0	X	X	X		100.00	72	54	73	83	90	87	86	94	67	83	93	73	90	74	64	1	77	80	0	26	24	750,000$
4	Mats Zuccarello	0		X	X		100.00	71	50	80	83	69	88	93	89	52	85	79	71	84	88	78	1	78	78	0	36	24	750,000$
5	Jonathan Huberdeau	0	X	X			100.00	73	50	73	79	80	87	91	88	50	87	78	74	82	86	82	1	78	78	0	30	24	750,000$
6	Evgeni Malkin	0	X		X		100.00	68	52	65	75	78	87	90	89	72	85	82	67	82	92	88	1	77	77	0	37	24	750,000$
7	Anders Lee	0	X	X			100.00	76	58	71	74	88	86	91	87	60	77	84	70	82	86	88	1	78	77	0	33	24	750,000$
8	Rickard Rakell	0	X	X	X		100.00	77	47	90	81	78	87	91	89	50	79	82	70	84	86	76	1	75	77	0	30	24	750,000$
9	Viktor Arvidsson	0		X			100.00	65	47	81	84	73	86	88	89	52	80	81	70	84	82	72	1	77	76	0	30	24	750,000$
10	Oliver Bjorkstrand	0		X	X		100.00	74	47	89	85	72	86	88	87	50	78	80	71	84	79	71	1	76	76	0	28	24	750,000$
11	Patrik Laine	0			X		100.00	67	47	84	75	87	87	85	87	50	79	80	66	81	77	67	1	78	75	0	25	24	750,000$
12	Tom Wilson	0			X		100.00	75	79	57	74	87	87	83	79	50	72	75	73	76	84	76	1	79	73	0	29	24	750,000$
13	Adam Larsson	0				X	100.00	77	54	70	85	84	92	92	84	40	77	72	94	80	87	83	1	77	82	0	31	24	750,000$
14	Erik Karlsson	0				X	100.00	66	50	76	84	75	92	92	92	40	91	83	73	86	89	85	1	75	79	0	33	24	750,000$
15	Mattias Ekholm	0				X	100.00	71	50	76	78	85	90	92	84	40	78	72	90	78	87	79	1	78	79	0	33	24	750,000$
16	Jonas Brodin	0				X	100.00	67	50	77	83	80	90	89	79	40	73	66	92	76	86	76	1	78	79	0	30	24	750,000$
17	Kris Letang	0				X	100.00	78	50	72	79	77	93	92	88	40	82	76	80	81	92	88	1	79	79	0	36	24	750,000$
18	John Carlson	0				X	100.00	64	47	80	77	84	91	87	85	40	80	75	80	79	89	85	1	77	77	0	33	24	750,000$
19	Tyler Myers	0				X	100.00	73	62	66	72	90	91	94	77	40	75	62	86	70	89	79	1	77	77	0	33	24	750,000$
20	Torey Krug	0				X	100.00	67	54	68	76	74	88	90	84	40	79	71	72	77	87	77	1	76	74	0	32	24	750,000$
Rayé
1	Bryan Rust	0		X	X		100.00	73	54	78	81	75	88	88	87	44	79	79	73	82	82	72	1	20	76	0	31	24	750,000$
Équipe Mineure
1	Jamie Benn	0	X	X	X		100.00	78	65	71	83	81	87	94	89	91	83	84	79	85	89	91	1	77	80	0	34	24	750,000$
2	Mikael Backlund	0	X				100.00	74	50	74	81	79	88	95	89	76	81	76	84	82	90	86	1	67	78	0	34	24	750,000$
3	Jordan Staal	0	X				100.00	81	50	78	75	85	87	93	83	86	76	76	80	78	92	94	1	72	77	0	35	24	750,000$
4	William Karlsson	0	X				100.00	71	43	92	85	76	87	88	85	82	81	73	83	81	82	72	1	65	77	0	30	24	750,000$
5	Conor Sheary	0		X	X		100.00	73	47	86	86	71	85	88	84	54	77	76	76	82	79	69	1	44	75	0	31	24	750,000$
6	Tomas Tatar	0	X	X	X		100.00	74	50	78	84	70	85	93	85	50	78	77	72	82	88	78	1	46	75	0	33	24	750,000$
7	Josh Anderson	0			X		100.00	78	59	64	74	87	86	87	84	50	72	78	72	79	82	72	1	66	74	0	29	24	750,000$
8	Lars Eller	0	X				100.00	77	50	72	75	80	85	94	80	79	74	71	76	75	89	79	1	67	74	0	34	24	750,000$
9	Nick Bjugstad	0	X				100.00	81	50	77	74	85	85	90	80	76	70	73	76	76	86	76	1	44	73	0	31	24	750,000$
10	Jakob Silfverberg	0			X		100.00	63	50	73	74	81	86	89	79	50	75	69	74	74	86	82	1	44	72	0	33	24	750,000$
11	Oskar Lindblom	0		X			100.00	76	47	86	76	79	82	86	76	50	71	68	72	74	74	64	1	44	70	0	27	24	750,000$
12	Nikita Zadorov	0				X	100.00	79	60	64	73	93	89	90	83	40	70	75	79	77	84	74	1	72	76	0	28	24	750,000$
13	Erik Gudbranson	0				X	100.00	75	70	68	73	87	90	92	77	40	72	64	82	72	87	77	1	72	76	0	31	24	750,000$
14	Tyson Barrie	0				X	100.00	68	50	77	79	76	87	92	88	40	82	76	76	81	87	77	1	63	76	0	32	24	750,000$
15	John Klingberg	0				X	100.00	67	50	73	75	79	88	87	85	40	80	73	68	77	82	74	1	67	73	0	31	24	750,000$
16	Ilya Lyubushkin	0				X	100.00	77	50	70	75	82	85	83	73	40	72	63	85	71	69	59	1	67	73	0	29	24	750,000$
17	Calvin de Haan	0				X	100.00	74	47	77	74	77	85	88	73	40	68	64	75	71	87	77	1	70	72	0	32	24	750,000$
18	Niko Mikkola	0				X	100.00	75	58	67	74	85	87	81	72	40	67	63	80	69	64	54	1	67	71	0	27	24	750,000$
19	Christian Dvorak	0	X	X			100.00	63	43	87	75	79	87	85	79	81	76	70	73	75	77	67	1	19	71	0	27	24	750,000$
20	Teddy Blueger	0	X				100.00	77	50	78	77	75	84	82	75	79	73	66	77	73	69	59	1	33	70	0	29	24	750,000$
21	Jonathan Drouin	0	X	X	X		100.00	67	47	80	73	79	85	84	75	63	78	63	66	70	82	72	1	20	69	0	28	24	750,000$
22	Joel Armia	0			X		100.00	72	47	80	72	85	84	85	74	43	67	67	71	71	82	72	1	20	69	0	30	24	750,000$
23	Connor Brown	0		X	X		100.00	58	43	80	75	74	87	77	70	46	66	63	68	69	79	71	1	20	67	0	29	24	750,000$
24	Elmer Soderblom (R)	0		X			100.00	66	40	76	66	89	77	64	68	40	62	64	64	66	51	50	1	20	63	0	22	24	750,000$
25	Alexander Gordin (R)	0			X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	20	49	0	22	24	750,000$
26	Ryan Lindgren	0				X	100.00	70	54	70	86	78	88	83	76	40	75	63	91	75	69	59	1	19	75	0	25	24	750,000$
27	Urho Vaakanainen (R)	0				X	100.00	61	43	83	73	84	85	74	68	40	63	60	67	67	69	59	1	20	66	0	24	24	750,000$
28	Tobias Bjornfot (R)	0				X	100.00	65	43	79	70	71	68	67	64	40	58	57	67	63	53	50	1	20	62	0	22	24	750,000$
29	Michael Kesselring (R)	0				X	100.00	66	57	64	69	67	63	63	66	40	58	60	68	65	51	50	1	20	61	0	23	24	750,000$
30	Elias Pettersson D (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	1	20	49	0	19	24	750,000$
31	Guillaume Richard (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	20	49	0	20	24	750,000$

	MOYENNE D’ÉQUIPE						100.00	71	52	76	80	80	89	90	87	52	80	78	76	82	86	79	1	75	78

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	Linus Ullmark	0	100.00	93	90	91	90	92	93	92	93	93	92	85	79	72	1	78	88	0	30	24	750,000$
2	Tristan Jarry	0	100.00	93	90	92	80	93	91	89	90	90	93	85	77	70	1	78	86	0	28	24	750,000$
Rayé
Équipe Mineure
1	Filip Gustavsson (R)	0	100.00	90	81	81	78	87	87	86	87	87	86	82	59	52	1	69	80	0	25	24	750,000$
2	Kaapo Kahkonen	0	100.00	82	86	87	90	90	83	78	78	80	86	83	64	57	1	82	79	0	27	24	750,000$
3	Cal Petersen	0	100.00	85	79	78	77	80	79	77	78	78	81	75	69	62	1	20	75	0	29	24	750,000$
4	Magnus Hellberg	0	100.00	73	78	77	91	75	73	70	73	73	75	74	84	77	1	20	74	0	32	24	750,000$
5	Mads Sogaard (R)	0	100.00	76	71	71	82	74	74	73	75	74	74	73	56	51	1	20	70	0	23	24	750,000$
6	Denis Hildeby (R)	0	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	20	49	0	22	24	750,000$

	MOYENNE D’ÉQUIPE		100.00	93	90	92	85	93	92	91	92	92	93	85	78	71	1	78	87

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Alexei Kovalev	80	80	80	80	80	80	80	RUS	57	9	1,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPS	PPM	PKS	PKM	GW	FO%	FOT	GA	TA	P/20	FW	FL	FT	S1	S2	S3
1	Aleksander Barkov	Columbus Blue Jackets	C	6	4	10	14	5	0	0	7	14	18	1	17	22.22%	3	147	24.66	2	20	0	28	1	52.99%	251	4	5	1.89	0	0	0	2	0	0
2	Jonathan Huberdeau	Columbus Blue Jackets	C/LW	6	4	7	11	5	5	5	4	7	21	8	13	19.05%	4	143	23.98	2	18	0	29	0	38.46%	13	5	4	1.53	0	0	1	0	1	2
3	Tage Thompson	Columbus Blue Jackets	C/LW/RW	6	2	5	7	4	4	0	13	6	17	2	14	11.76%	0	106	17.79	2	13	1	14	0	49.21%	63	4	2	1.31	0	0	0	0	1	0
4	Rickard Rakell	Columbus Blue Jackets	C/LW/RW	6	4	2	6	4	10	10	5	9	13	3	12	30.77%	1	89	15.00	2	13	0	0	0	33.33%	6	2	4	1.33	0	1	1	0	0	0
5	John Carlson	Columbus Blue Jackets	D	6	0	5	5	1	5	5	7	11	10	3	2	0%	13	160	26.73	2	21	0	29	0	0%	0	2	7	0.62	0	1	0	0	0	0
6	Claude Giroux	Columbus Blue Jackets	C/RW	6	4	1	5	-2	4	0	5	3	17	3	7	23.53%	0	65	10.85	0	1	0	0	0	56.25%	32	3	2	1.54	0	0	0	0	0	1
7	Mattias Ekholm	Columbus Blue Jackets	D	6	1	3	4	-1	6	0	8	3	8	3	2	12.50%	4	114	19.09	1	11	0	18	0	0%	0	1	5	0.70	0	0	0	0	0	0
8	Evgeni Malkin	Columbus Blue Jackets	C/RW	6	1	2	3	4	6	0	7	7	5	3	3	20.00%	4	92	15.42	0	13	0	0	0	66.67%	3	2	1	0.65	0	0	0	0	0	0
9	Mats Zuccarello	Columbus Blue Jackets	LW/RW	6	1	2	3	-3	0	0	3	11	13	0	9	7.69%	3	90	15.05	2	20	1	15	0	0%	7	4	2	0.66	0	0	0	0	0	0
10	Viktor Arvidsson	Columbus Blue Jackets	LW	6	0	2	2	-2	0	0	7	0	6	2	2	0%	2	49	8.23	0	0	0	5	0	100.00%	1	1	0	0.81	0	0	0	0	0	0
11	Tom Wilson	Columbus Blue Jackets	RW	6	2	0	2	4	44	20	10	8	10	3	2	20.00%	3	94	15.77	0	1	0	0	0	36.36%	11	0	3	0.42	2	1	1	0	1	0
12	Patrik Laine	Columbus Blue Jackets	RW	6	0	2	2	-1	0	0	1	2	2	1	7	0%	0	61	10.31	0	0	0	7	0	20.00%	5	1	2	0.65	0	0	0	0	0	0
13	Kris Letang	Columbus Blue Jackets	D	6	1	1	2	1	28	10	5	11	10	4	2	10.00%	7	152	25.35	3	20	0	24	0	0%	0	3	8	0.26	0	0	2	0	0	0
14	Oliver Bjorkstrand	Columbus Blue Jackets	LW/RW	6	1	0	1	-1	17	5	1	1	4	2	2	25.00%	2	42	7.09	0	0	0	0	0	0%	0	1	0	0.47	0	1	0	0	0	0
15	Anders Lee	Columbus Blue Jackets	C/LW	6	1	0	1	-2	0	0	3	2	6	3	1	16.67%	5	42	7.03	0	0	0	0	1	30.00%	20	0	0	0.47	0	0	0	0	0	0
16	Tyler Myers	Columbus Blue Jackets	D	6	0	1	1	-1	8	0	3	8	6	3	1	0%	4	113	18.86	1	11	0	17	0	0%	0	1	2	0.18	0	0	0	0	0	0
17	Adam Larsson	Columbus Blue Jackets	D	6	0	1	1	1	4	0	1	1	0	0	1	0%	3	34	5.74	0	2	0	0	0	0%	0	1	2	0.58	0	0	0	0	0	0
18	Jonas Brodin	Columbus Blue Jackets	D	6	0	1	1	1	0	0	0	2	2	1	0	0%	1	26	4.42	0	0	0	0	0	0%	0	0	0	0.75	0	0	0	0	0	0
19	Torey Krug	Columbus Blue Jackets	D	6	0	0	0	4	7	5	3	2	1	2	2	0%	5	56	9.38	0	1	0	1	0	0%	0	0	0	0	0	1	0	0	0	0
20	Erik Karlsson	Columbus Blue Jackets	D	6	0	0	0	4	7	5	1	1	5	0	2	0%	4	63	10.66	0	0	0	8	0	0%	0	0	0	0	0	1	0	0	0	0
Statistiques d’équipe totales ou en moyenne				120	26	45	71	25	155	65	94	109	174	47	101	14.94%	68	1748	14.57	17	173	2	200	2	49.27%	412	35	49	0.81	2	6	5	2	3	3

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	PCT	GAA	MP	GA	SA	SAR	PS %	ST	BG
1	Linus Ullmark	Columbus Blue Jackets	6	2	4	0.860	4.47	322	24	172	70	0	6	0
2	Tristan Jarry	Columbus Blue Jackets	1	0	0	0.824	4.87	37	3	17	6	0	0	6
Statistiques d’équipe totales ou en moyenne			7	2	4	0.857	4.50	360	27	189	76		6	6

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	Ballotage forcé	Waiver Possible	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
Adam Larsson	Columbus Blue Jackets	D	31	11/12/1992	No	209 Lbs	6 ft3	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Aleksander Barkov	Columbus Blue Jackets	C	28	9/2/1995	No	215 Lbs	6 ft3	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Anders Lee	Columbus Blue Jackets	C/LW	33	7/3/1990	No	235 Lbs	6 ft3	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Bryan Rust	Columbus Blue Jackets	LW/RW	31	5/11/1992	No	192 Lbs	5 ft11	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Claude Giroux	Columbus Blue Jackets	C/RW	35	1/12/1988	No	190 Lbs	5 ft11	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Erik Karlsson	Columbus Blue Jackets	D	33	5/31/1990	No	190 Lbs	6 ft0	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Evgeni Malkin	Columbus Blue Jackets	C/RW	37	7/31/1986	No	195 Lbs	6 ft3	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
John Carlson	Columbus Blue Jackets	D	33	1/10/1990	No	215 Lbs	6 ft3	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Jonas Brodin	Columbus Blue Jackets	D	30	7/12/1993	No	196 Lbs	6 ft2	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Jonathan Huberdeau	Columbus Blue Jackets	C/LW	30	6/4/1993	No	200 Lbs	6 ft1	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Kris Letang	Columbus Blue Jackets	D	36	4/24/1987	No	201 Lbs	6 ft0	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Linus Ullmark	Columbus Blue Jackets	G	30	7/31/1993	No	212 Lbs	6 ft5	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Mats Zuccarello	Columbus Blue Jackets	LW/RW	36	9/1/1987	No	181 Lbs	5 ft8	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Mattias Ekholm	Columbus Blue Jackets	D	33	5/24/1990	No	215 Lbs	6 ft4	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Oliver Bjorkstrand	Columbus Blue Jackets	LW/RW	28	4/10/1995	No	175 Lbs	6 ft0	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Patrik Laine	Columbus Blue Jackets	RW	25	4/19/1998	No	205 Lbs	6 ft5	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Rickard Rakell	Columbus Blue Jackets	C/LW/RW	30	5/5/1993	No	195 Lbs	6 ft1	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Tage Thompson	Columbus Blue Jackets	C/LW/RW	26	10/30/1997	No	220 Lbs	6 ft6	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Tom Wilson	Columbus Blue Jackets	RW	29	3/29/1994	No	220 Lbs	6 ft4	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Torey Krug	Columbus Blue Jackets	D	32	4/12/1991	No	194 Lbs	5 ft9	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Tristan Jarry	Columbus Blue Jackets	G	28	4/29/1995	No	194 Lbs	6 ft2	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Tyler Myers	Columbus Blue Jackets	D	33	2/1/1990	No	229 Lbs	6 ft8	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Viktor Arvidsson	Columbus Blue Jackets	LW	30	4/8/1993	No	185 Lbs	5 ft10	No	No	N/A	No	No	24	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	No	No	No	No	Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	31.17	203 Lbs	6 ft2	24.00	750,000$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
17,250,000$	17,250,000$	17,250,000$	17,250,000$	17,250,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jonathan Huberdeau	Aleksander Barkov	Tom Wilson	40	1	2	2
2	Rickard Rakell	Tage Thompson	Evgeni Malkin	30	1	2	2
3	Mats Zuccarello	Claude Giroux	Patrik Laine	20	1	2	2
4	Viktor Arvidsson	Anders Lee	Oliver Bjorkstrand	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Kris Letang	John Carlson	40	1	2	2
2	Tyler Myers	Mattias Ekholm	30	1	2	2
3	Erik Karlsson	Torey Krug	20	1	2	2
4	Jonas Brodin	Adam Larsson	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jonathan Huberdeau	Aleksander Barkov	Mats Zuccarello	60	1	2	2
2	Rickard Rakell	Tage Thompson	Evgeni Malkin	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Kris Letang	John Carlson	60	1	2	2
2	Tyler Myers	Mattias Ekholm	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Aleksander Barkov	Jonathan Huberdeau	60	1	2	2
2	Mats Zuccarello	Tage Thompson	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Kris Letang	John Carlson	60	1	2	2
2	Tyler Myers	Mattias Ekholm	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Aleksander Barkov	60	1	2	2	Kris Letang	John Carlson	60	1	2	2
2	Jonathan Huberdeau	40	1	2	2	Tyler Myers	Mattias Ekholm	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Aleksander Barkov	Jonathan Huberdeau	60	1	2	2
2	Mats Zuccarello	Tage Thompson	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Kris Letang	John Carlson	60	1	2	2
2	Tyler Myers	Mattias Ekholm	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jonathan Huberdeau	Aleksander Barkov	Mats Zuccarello	Kris Letang	John Carlson

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jonathan Huberdeau	Aleksander Barkov	Mats Zuccarello	Kris Letang	John Carlson

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Claude Giroux, Tom Wilson, Patrik Laine	Claude Giroux, Tom Wilson	Patrik Laine

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Adam Larsson, Erik Karlsson, Torey Krug	Adam Larsson	Erik Karlsson, Torey Krug

Tirs de pénalité
Aleksander Barkov, Jonathan Huberdeau, Mats Zuccarello, Tage Thompson, Patrik Laine

Gardien
#1 : Linus Ullmark, #2 : Tristan Jarry

Lignes d’attaque personnalisées en prolongation
Aleksander Barkov, Jonathan Huberdeau, Mats Zuccarello, Tage Thompson, Rickard Rakell, Evgeni Malkin, Evgeni Malkin, Claude Giroux, Tom Wilson, Patrik Laine, Oliver Bjorkstrand

Lignes de défense personnalisées en prolongation
Kris Letang, John Carlson, Tyler Myers, Mattias Ekholm, Erik Karlsson

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	Detroit Red Wings	6	2	4	0	0	0	0	0	26	27	-1	3	0	3	0	0	0	0	0	10	18	-8	3	2	1	0	0	0	0	0	16	9	7	4	0.333	26	45	71	0	0	5	6	15	0	174	57	53	64	0	189	68	155	94	18	0	0.00%	30	6	80.00%	0	67	149	44.97%	84	160	52.50%	52	103	50.49%	118	67	138	55	103	48
	Total	6	2	4	0	0	0	0	0	26	27	-1	3	0	3	0	0	0	0	0	10	18	-8	3	2	1	0	0	0	0	0	16	9	7	4	0.333	26	45	71	0	0	5	6	15	0	174	57	53	64	0	189	68	155	94	18	0	0.00%	30	6	80.00%	0	67	149	44.97%	84	160	52.50%	52	103	50.49%	118	67	138	55	103	48
	_Since Last GM Reset	6	2	4	0	0	0	0	0	26	27	-1	3	0	3	0	0	0	0	0	10	18	-8	3	2	1	0	0	0	0	0	16	9	7	4	0.333	26	45	71	0	0	5	6	15	0	174	57	53	64	0	189	68	155	94	18	0	0.00%	30	6	80.00%	0	67	149	44.97%	84	160	52.50%	52	103	50.49%	118	67	138	55	103	48
	_Vs Conference	6	2	4	0	0	0	0	0	26	27	-1	3	0	3	0	0	0	0	0	10	18	-8	3	2	1	0	0	0	0	0	16	9	7	4	0.333	26	45	71	0	0	5	6	15	0	174	57	53	64	0	189	68	155	94	18	0	0.00%	30	6	80.00%	0	67	149	44.97%	84	160	52.50%	52	103	50.49%	118	67	138	55	103	48
	_Vs Division	6	2	4	0	0	0	0	0	26	27	-1	3	0	3	0	0	0	0	0	10	18	-8	3	2	1	0	0	0	0	0	16	9	7	4	0.333	26	45	71	0	0	5	6	15	0	174	57	53	64	0	189	68	155	94	18	0	0.00%	30	6	80.00%	0	67	149	44.97%	84	160	52.50%	52	103	50.49%	118	67	138	55	103	48

			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
6	4	L2	26	45	71	174	189	68	155	94	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	4	0	0	0	0	26	27

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	10	18

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	16	9

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
2	4	0	0	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
18	0	0.00%	30	6	80.00%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
57	53	64	0	5	6	15	0

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
67	149	44.97%	84	160	52.50%	52	103	50.49%

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
118	67	138	55	103	48

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	Lien
1	4	Detroit Red Wings	4	Columbus Blue Jackets	3	BL	Sommaire du match
2	8	Detroit Red Wings	7	Columbus Blue Jackets	2	BL	Sommaire du match
3	12	Columbus Blue Jackets	6	Detroit Red Wings	4	AW	Sommaire du match
4	16	Columbus Blue Jackets	9	Detroit Red Wings	2	AW	Sommaire du match
5	20	Detroit Red Wings	7	Columbus Blue Jackets	5	BL	Sommaire du match
6	24	Columbus Blue Jackets	1	Detroit Red Wings	3	AL	Sommaire du match

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	100	60	35	25	200
Assistance	0	0	0	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
38	0 - 0.00%	0$	0$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	17,250,000$	132,156,110$	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
0$	0$	0$	23	0

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

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	100,000,000$	100,000,000$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	999,999,999$	999,999,999$	-750,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Jamie Benn	AGE:34	PO:1	OV:80
Tage Thompson	AGE:26	PO:1	OV:80
Mats Zuccarello	AGE:36	PO:1	OV:78
Jonathan Huberdeau	AGE:30	PO:1	OV:78
Anders Lee	AGE:33	PO:1	OV:77
Rickard Rakell	AGE:30	PO:1	OV:77
Viktor Arvidsson	AGE:30	PO:1	OV:76
Oliver Bjorkstrand	AGE:28	PO:1	OV:76
Bryan Rust	AGE:31	PO:1	OV:76
Conor Sheary	AGE:31	PO:1	OV:75
Tomas Tatar	AGE:33	PO:1	OV:75
Christian Dvorak	AGE:27	PO:1	OV:71
Oskar Lindblom	AGE:27	PO:1	OV:70
Jonathan Drouin	AGE:28	PO:1	OV:69
Connor Brown	AGE:29	PO:1	OV:67
Elmer Soderblom (R)	AGE:22	PO:1	OV:63

Aleksander Barkov	AGE:28	PO:1	OV:81
Claude Giroux	AGE:35	PO:1	OV:81
Jamie Benn	AGE:34	PO:1	OV:80
Tage Thompson	AGE:26	PO:1	OV:80
Mikael Backlund	AGE:34	PO:1	OV:78
Jonathan Huberdeau	AGE:30	PO:1	OV:78
Evgeni Malkin	AGE:37	PO:1	OV:77
Anders Lee	AGE:33	PO:1	OV:77
Jordan Staal	AGE:35	PO:1	OV:77
Rickard Rakell	AGE:30	PO:1	OV:77
William Karlsson	AGE:30	PO:1	OV:77
Tomas Tatar	AGE:33	PO:1	OV:75
Lars Eller	AGE:34	PO:1	OV:74
Nick Bjugstad	AGE:31	PO:1	OV:73
Christian Dvorak	AGE:27	PO:1	OV:71
Teddy Blueger	AGE:29	PO:1	OV:70
Jonathan Drouin	AGE:28	PO:1	OV:69

Claude Giroux	AGE:35	PO:1	OV:81
Jamie Benn	AGE:34	PO:1	OV:80
Tage Thompson	AGE:26	PO:1	OV:80
Mats Zuccarello	AGE:36	PO:1	OV:78
Evgeni Malkin	AGE:37	PO:1	OV:77
Rickard Rakell	AGE:30	PO:1	OV:77
Oliver Bjorkstrand	AGE:28	PO:1	OV:76
Bryan Rust	AGE:31	PO:1	OV:76
Conor Sheary	AGE:31	PO:1	OV:75
Patrik Laine	AGE:25	PO:1	OV:75
Tomas Tatar	AGE:33	PO:1	OV:75
Josh Anderson	AGE:29	PO:1	OV:74
Tom Wilson	AGE:29	PO:1	OV:73
Jakob Silfverberg	AGE:33	PO:1	OV:72
Jonathan Drouin	AGE:28	PO:1	OV:69
Joel Armia	AGE:30	PO:1	OV:69
Connor Brown	AGE:29	PO:1	OV:67
Alexander Gordin (R)	AGE:22	PO:50	OV:49

Défense #1

Défense #2

Gardien

Adam Larsson	AGE:31	PO:1	OV:82
Erik Karlsson	AGE:33	PO:1	OV:79
Mattias Ekholm	AGE:33	PO:1	OV:79
Jonas Brodin	AGE:30	PO:1	OV:79
Kris Letang	AGE:36	PO:1	OV:79
John Carlson	AGE:33	PO:1	OV:77
Tyler Myers	AGE:33	PO:1	OV:77
Nikita Zadorov	AGE:28	PO:1	OV:76
Erik Gudbranson	AGE:31	PO:1	OV:76
Tyson Barrie	AGE:32	PO:1	OV:76
Ryan Lindgren	AGE:25	PO:1	OV:75

Torey Krug	AGE:32	PO:1	OV:74
John Klingberg	AGE:31	PO:1	OV:73
Ilya Lyubushkin	AGE:29	PO:1	OV:73
Calvin de Haan	AGE:32	PO:1	OV:72
Niko Mikkola	AGE:27	PO:1	OV:71
Urho Vaakanainen (R)	AGE:24	PO:1	OV:66
Tobias Bjornfot (R)	AGE:22	PO:1	OV:62
Michael Kesselring (R)	AGE:23	PO:1	OV:61
Guillaume Richard (R)	AGE:20	PO:50	OV:49
Elias Pettersson D (R)	AGE:19	PO:1	OV:49

Linus Ullmark	AGE:30	PO:1	OV:88
Tristan Jarry	AGE:28	PO:1	OV:86
Filip Gustavsson (R)	AGE:25	PO:1	OV:80
Kaapo Kahkonen	AGE:27	PO:1	OV:79
Cal Petersen	AGE:29	PO:1	OV:75
Magnus Hellberg	AGE:32	PO:1	OV:74
Mads Sogaard (R)	AGE:23	PO:1	OV:70
Denis Hildeby (R)	AGE:22	PO:50	OV:49

Espoirs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Lien
Andrew Strathmann	Columbus Blue Jackets	2023	65	Lien
Anton Wahlberg	Columbus Blue Jackets	2023	53	Lien
Brandon Svoboda	Columbus Blue Jackets	2023	21	Lien
Damian Clara	Columbus Blue Jackets	2023	76	Lien
Ethan Gauthier	Columbus Blue Jackets	2023	19	Lien
Felix Unger Sorum	Columbus Blue Jackets	2023	44	Lien
Gabe Perreault	Columbus Blue Jackets	2023	17	Lien
Maxim Strbak	Columbus Blue Jackets	2023	57	Lien
Rasmus Kumpulainen	Columbus Blue Jackets	2023	69	Lien
Vilmer Alriksson	Columbus Blue Jackets	2023	85	Lien
Zach Nehring	Columbus Blue Jackets	2023	92	Lien

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
3
4
5
6
7
Choix au repêchage conditionnel

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

Columbus Blue Jackets Historique de transactions

[12/16/2023 9:17:03 PM] - Columbus Blue Jackets was eliminated at round 1 of year 2.
[12/10/2023 7:32:15 AM] - Lillehammer IK didn't make playoff for year 2.
[11/30/2023 4:33:03 PM] - New Record for Team's Most Shots Blocked (23) in 1 Game for Columbus Blue Jackets!
[11/12/2023 6:21:16 PM] - Team Name Change : Lillehammer IK changed name to Lillehammer IK
[8/15/2023 8:47:47 PM] - New Record for Team's Most Penalties Minutes (49) in 1 Game for Columbus Blue Jackets!
[8/9/2023 5:48:35 PM] - New Record for Team's Most Points (26) in 1 Game for Columbus Blue Jackets!
[8/9/2023 5:48:35 PM] - New Record for Team's Most Assists (16) in 1 Game for Columbus Blue Jackets!
[8/9/2023 5:48:35 PM] - New Record for Team's Most Goals (10) in 1 Game for Columbus Blue Jackets!
[8/2/2023 3:28:27 PM] - New Record for Team's Most Penalties Minutes (32) in 1 Game for Columbus Blue Jackets!
[8/2/2023 3:28:27 PM] - New Record for Team's Most Shots Blocked (22) in 1 Game for Columbus Blue Jackets!

[12/16/2023 9:17:03 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[12/15/2023 12:27:31 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[12/14/2023 11:13:30 AM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[12/13/2023 9:20:52 AM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[12/12/2023 12:16:48 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[12/11/2023 9:27:06 AM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[12/2/2023 7:17:39 AM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[12/2/2023 7:17:36 AM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[12/1/2023 2:22:04 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[11/30/2023 4:33:06 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[11/30/2023 4:33:03 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[11/30/2023 4:33:03 PM] New Record for Team's Most Shots Blocked (23) in 1 Game for Columbus Blue Jackets!
[11/29/2023 9:30:18 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[11/28/2023 9:51:17 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[11/28/2023 9:51:12 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[11/27/2023 9:59:11 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[11/26/2023 11:26:07 AM] Lillehammer IK lines for next game are empty. Current rosters/lines are not erased.
[11/26/2023 11:26:04 AM] Both Columbus Blue Jackets and Lillehammer IK lines for next game are empty. Current rosters/lines are not erased.
[11/25/2023 7:56:59 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[11/24/2023 8:23:09 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[11/24/2023 8:23:05 PM] Lillehammer IK lines for next game are empty. Current rosters/lines are not erased.
[11/22/2023 10:24:23 PM] Both Columbus Blue Jackets and Lillehammer IK lines for next game are empty. Current rosters/lines are not erased.
[11/22/2023 10:24:22 PM] Pro Game #557 - Mats Zuccarello from Columbus Blue Jackets has scored a Hat Trick!
[11/22/2023 10:24:20 PM] Lillehammer IK lines for next game are empty. Current rosters/lines are not erased.
[11/21/2023 10:04:07 PM] Both Columbus Blue Jackets and Lillehammer IK lines for next game are empty. Current rosters/lines are not erased.
[11/21/2023 10:04:00 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[11/20/2023 7:01:40 PM] Lillehammer IK lines for next game are empty. Current rosters/lines are not erased.
[11/20/2023 7:01:36 PM] Both Columbus Blue Jackets and Lillehammer IK lines for next game are empty. Current rosters/lines are not erased.
[11/19/2023 7:41:58 PM] Both Columbus Blue Jackets and Lillehammer IK lines for next game are empty. Current rosters/lines are not erased.
[11/19/2023 7:41:51 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[11/19/2023 12:40:06 AM] Lillehammer IK lines for next game are empty. Current rosters/lines are not erased.
[11/19/2023 12:40:02 AM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[11/19/2023 12:40:02 AM] Last 7 Days Pro Star : 1 - Aleksander Barkov of Columbus Blue Jackets (6-8-14) / 2 - Jonathan Huberdeau of Columbus Blue Jackets (4-5-9) / 3 - Patrice Bergeron of Detroit Red Wings (5-5-10)
[11/19/2023 12:40:01 AM] Pro Game #510 - Aleksander Barkov from Columbus Blue Jackets has scored a Hat Trick!
[11/18/2023 12:17:35 AM] Both Columbus Blue Jackets and Lillehammer IK lines for next game are empty. Current rosters/lines are not erased.
[11/18/2023 12:17:29 AM] Lillehammer IK lines for next game are empty. Current rosters/lines are not erased.
[11/15/2023 8:44:15 PM] Both Columbus Blue Jackets and Lillehammer IK lines for next game are empty. Current rosters/lines are not erased.
[11/15/2023 8:44:14 PM] Pro Game #495 - Jonathan Huberdeau from Columbus Blue Jackets has scored a Hat Trick!
[11/14/2023 9:22:36 PM] Both Columbus Blue Jackets and Lillehammer IK lines for next game are empty. Current rosters/lines are not erased.
[11/14/2023 9:22:31 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[11/13/2023 7:00:33 PM] Both Columbus Blue Jackets and Lillehammer IK lines for next game are empty. Current rosters/lines are not erased.
[11/13/2023 7:00:33 PM] Last 7 Days Pro Star : 1 - Roope Hintz of Portland Winterhawks (7-3-10) / 2 - Auston Matthews of Kansas City Scouts (7-5-12) / 3 - Rickard Rakell of Columbus Blue Jackets (4-6-10)
[11/13/2023 7:00:24 PM] Lillehammer IK lines for next game are empty. Current rosters/lines are not erased.

Pas de blessure ou de suspension.

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: 6 \| W: 2 \| L: 4 GF: 26 \| GA: 27 \| PP%: 0.00% \| PK%: 80.00% DG: Franz Fedigan \| Morale : 99 \| Moyenne d’équipe : 78