Cleveland
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
	Floride 53-25-4, 110pts	6	FINAL	5	Columbus 40-35-7, 87pts

Team Stats
W5	Séquence	W1
28-13-0	Fiche domicile	19-17-5
25-12-4	Fiche visiteur	21-18-2
7-1-2	Derniers 10 matchs	7-3-0
3.89	Buts par match	3.26
3.24	Buts contre par match	3.27
22.12%	Pourcentage en avantage numérique	18.35%
77.01%	Pourcentage en désavantage numérique	80.22%

NYRangers
40-33-9, 89pts

FINAL

Columbus
40-35-7, 87pts

Team Stats
L1	Séquence	W1
24-13-4	Fiche domicile	19-17-5
16-20-5	Fiche visiteur	21-18-2
3-6-1	Derniers 10 matchs	7-3-0
3.13	Buts par match	3.26
3.48	Buts contre par match	3.27
19.43%	Pourcentage en avantage numérique	18.35%
76.75%	Pourcentage en désavantage numérique	80.22%

Meneurs d'équipe
	Buts Clayton Keller 36	Passes Mikko Rantanen 49

	Points Mikko Rantanen 76	Plus/Moins Jordan Kyrou 27

	Victoires John Gibson 39	Pourcentage d’arrêts John Gibson 0.923

Statistiques d’équipe
Buts pour 267 3.26 GFG	Tirs pour 2833 34.55 Avg	Pourcentage en avantage numérique 18.4% 58 GF	Début de zone offensive 41.9%
Buts contre 268 3.27 GAA	Tirs contre 2898 35.34 Avg	Pourcentage en désavantage numérique 80.2%% 73 GA	Début de la zone défensive 41.2%

Informations de l'équipe
	Directeur général	Dany Bourdeau
	Entraîneur	Claude Julien
	Division	Metropolitaine
	Conférence	Conference Est
	Capitaine
	Assistant #1	Mikko Rantanen
	Assistant #2	Mikhail Sergachev
Informations de l’aréna
	Nom	Nationwide Arena
	Capacité	22,778
	Assistance	20,458
	Billets de saison	9,111
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	19
	Limite contact	40 / 50
	Espoirs	26
Plafond salarial
	Cap Salarial de la Saison estimé	64,419,000$
	Plafond salarial disponible	581,000$
	Valeur du plafond salarial spécial	4,575,000$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	69,965,642$
	Dépenses annuelles à ce jour	68,806,200$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	22,744,182$
	Compte bancaire projeté	22,732,061$
Historique d'équipe
	Saison actuelle	40-35-7 (87PTS)
	Historique	115-112-22 (0.462%)
	Apparitions en séries éliminatoires	1
	Historique en séries éliminatoires (W-L)	0-0
	Coupe Stanley	0

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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

#	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 moyen
1	Bryan Rust			X		100.00	83	35	91	82	81	86	99	71	70	70	72	73	99	67	67	52	50	0	0	30	2	725,000$
2	Dillon Dube (R)		X	X		100.00	73	35	88	89	84	85	92	75	74	72	77	65	87	42	38	64	50	0	0	23	1	800,000$
3	Mason Appleton			X		100.00	79	31	85	83	86	84	96	77	74	74	77	66	79	49	45	67	50	0	0	26	1	1,800,000$
4	Alex DeBrincat		X	X		100.00	82	36	95	99	81	98	99	81	79	80	84	62	88	44	42	79	50	0	0	24	3	4,200,000$
5	Riley Nash	X	X	X		100.00	68	22	99	60	79	79	90	66	93	62	72	73	85	70	65	32	50	0	0	33	2	650,000$
6	J.T. Compher	X		X		100.00	74	33	99	85	84	90	83	74	91	73	75	73	81	56	46	59	50	0	0	27	1	2,100,000$
7	Jordan Kyrou		X	X		100.00	59	27	99	99	79	89	88	86	72	84	83	67	82	46	42	82	50	0	0	24	1	800,000$
8	Evgeny Kuznetsov	X				100.00	91	36	85	83	75	88	99	81	86	76	81	63	84	63	60	56	50	0	0	30	3	4,100,000$
9	Clayton Keller	X	X	X		100.00	76	35	99	99	85	99	99	92	95	89	89	66	96	42	35	81	50	0	0	23	2	8,200,000$
10	Rem Pitlick (R)	X	X	X		100.00	70	27	90	86	81	84	87	76	82	75	74	70	93	48	47	67	50	0	0	25	1	700,000$
11	Alexander Wennberg	X	X	X		100.00	79	35	94	90	90	90	94	82	92	81	80	68	84	55	54	65	50	0	0	27	1	2,800,000$
12	Mikko Rantanen (A)			X		100.00	80	40	89	99	97	99	99	87	79	88	82	65	84	48	36	73	50	0	0	25	2	7,500,000$
13	Alexander Barabanov		X	X		100.00	73	30	94	77	80	86	87	70	70	73	70	64	77	60	60	50	50	0	0	28	1	650,000$
14	Derek Forbort				X	100.00	80	42	72	75	92	89	97	56	50	53	55	90	78	65	58	53	50	0	0	30	3	1,300,000$
15	Erik Karlsson				X	100.00	68	44	77	80	73	98	88	72	50	72	67	89	66	70	67	53	50	0	0	32	1	5,500,000$
16	John Carlson				X	100.00	71	40	70	72	84	96	97	67	50	68	62	93	80	70	58	59	50	0	0	32	1	2,548,000$
17	Oliver Ekman-Larsson				X	100.00	84	56	53	81	82	95	97	73	25	72	71	97	80	67	55	52	50	0	0	30	3	5,500,000$
18	Mikhail Sergachev (A)				X	100.00	86	40	71	99	95	98	96	72	56	72	66	91	88	44	45	78	50	0	0	24	4	5,450,000$
19	Kevin Shattenkirk				X	100.00	73	34	79	79	75	85	86	62	50	64	60	91	73	83	72	45	50	0	0	33	3	2,200,000$
Rayé
Équipe Mineure
1	Byron Froese	X		X		100.00	62	29	89	67	76	69	89	67	80	65	68	64	74	67	58	38	50	0	0	31	1	750,000$
2	Zach Parise		X	X		100.00	83	30	92	75	80	83	99	71	70	69	76	69	90	95	95	14	50	0	0	37	2	1,510,000$
3	Ryan Dzingel		X	X		100.00	75	35	89	81	82	85	92	70	69	68	71	57	80	65	53	59	50	0	0	30	2	1,100,000$
4	Frank Vatrano		X	X		100.00	83	38	93	77	82	82	92	72	72	69	76	61	83	56	59	57	50	0	0	28	1	1,100,000$
5	Ilya Zubov		X	X		100.00	64	30	95	56	71	66	86	66	73	64	66	63	78	87	82	15	50	0	0	36	1	1,300,000$
6	Dave Bolland	X				100.00	59	17	92	55	77	69	59	70	73	70	69	71	84	81	84	20	50	0	0	36	2	980,000$
7	Vinnie Hinostroza		X	X		100.00	77	31	91	83	76	82	90	74	75	69	76	62	87	54	53	54	50	0	0	28	2	975,000$
8	Dustin Brown		X	X		100.00	77	21	88	66	80	77	99	72	70	74	69	66	84	85	99	26	50	0	0	37	2	1,100,000$
9	Carl Soderberg	X	X	X		100.00	61	34	87	55	83	66	90	69	71	66	68	67	75	83	75	24	50	0	0	36	1	1,110,000$
10	Zach Sanford		X			100.00	71	35	95	74	96	79	88	67	71	65	72	63	77	52	51	28	50	0	0	27	2	600,000$
11	Luke Kunin	X		X		100.00	86	46	74	90	82	88	87	78	83	75	78	67	85	45	45	71	50	0	0	24	1	900,000$
12	Robert Bortuzzo				X	100.00	70	31	85	66	95	76	82	49	50	52	49	91	71	74	72	21	50	0	0	33	2	975,000$
13	Cody Goloubef				X	100.00	72	32	63	65	78	74	79	50	50	50	47	87	77	65	61	38	50	0	0	32	1	600,000$
14	Kevan Miller				X	100.00	61	35	85	53	90	75	81	51	50	49	50	90	66	72	59	17	50	0	0	34	1	900,000$
15	Matthew Benning				X	100.00	73	38	60	77	80	87	89	57	53	57	53	87	74	56	48	51	50	0	0	28	1	600,000$
16	Nick Holden				X	100.00	65	32	92	63	94	77	88	50	50	45	47	86	73	79	73	15	50	0	0	35	1	901,000$
17	Nicolas Hague (R)				X	100.00	84	38	71	84	98	86	91	58	52	62	53	91	77	42	39	70	50	0	0	23	2	800,000$

	MOYENNE D’ÉQUIPE					100.00	76	36	86	85	83	90	93	75	70	74	74	75	83	57	52	61	50	0

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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

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire moyen
1	Adin Hill	100.00	69	87	80	82	77	85	85	87	86	83	79	50	50	68	50	0	0	26	1	750,000$
2	John Gibson	100.00	69	91	90	84	80	92	92	91	91	86	84	63	62	63	50	0	0	28	1	1,960,000$
Rayé
Équipe Mineure
1	Dustin Tokarski	100.00	61	87	77	76	70	83	86	81	85	78	70	65	64	35	50	0	0	32	1	701,000$
2	Chad Johnson	100.00	59	90	82	81	72	83	80	83	84	78	73	91	90	10	50	0	0	36	1	525,000$

	MOYENNE D’ÉQUIPE	100.00	69	89	85	83	79	89	89	89	89	85	82	57	56	66	50	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Claude Julien	98	87	97	95	99	99	36	CAN	63	3	6,600,000$

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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

#	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	Mikko Rantanen	Columbus	RW	82	27	49	76	7	31	5	106	109	333	104	230	8.11%	9	1596	19.48	4	17	21	68	282	0	0	0	0	0	5	1	50.00%	130	0	1	0.95	0	0	0	1	3	3	4
2	Clayton Keller	Columbus	C/LW/RW	82	36	35	71	19	26	0	75	147	264	82	186	13.64%	7	1594	19.44	3	10	13	50	274	0	0	0	0	20	5	2	51.50%	1767	1	0	0.89	3	5	0	0	4	4	3
3	Jordan Kyrou	Columbus	LW/RW	82	24	43	67	27	2	0	11	103	335	94	251	7.16%	12	1474	17.98	3	8	11	62	231	0	0	0	0	4	6	0	38.84%	121	0	0	0.91	0	0	0	0	3	2	7
4	Mikhail Sergachev	Columbus	D	82	14	49	63	18	80	0	137	76	210	70	131	6.67%	132	1929	23.53	9	8	17	117	272	0	1	1	4	272	2	2	0%	0	0	0	0.65	0	1	0	0	2	4	1
5	Alex DeBrincat	Columbus	LW/RW	82	24	38	62	7	22	0	63	84	271	84	206	8.86%	3	1468	17.91	4	15	19	70	279	0	0	0	0	1	5	2	46.46%	127	0	1	0.84	0	2	0	0	3	1	5
6	Alexander Wennberg	Columbus	C/LW/RW	83	28	34	62	12	28	0	64	89	235	60	174	11.91%	11	1542	18.59	6	7	13	57	232	0	0	0	0	14	5	2	50.08%	637	0	0	0.80	0	1	0	0	4	2	4
7	Evgeny Kuznetsov	Columbus	C	83	24	37	61	-13	64	10	201	153	208	49	153	11.54%	11	1506	18.14	3	12	15	36	249	0	0	0	2	85	3	3	50.93%	2048	0	0	0.81	0	0	0	2	2	4	2
8	Oliver Ekman-Larsson	Columbus	D	83	20	41	61	11	119	15	208	91	186	55	132	10.75%	152	1923	23.17	11	12	23	98	288	0	2	2	1	268	2	1	0%	0	0	0	0.63	0	0	1	2	2	2	7
9	Erik Karlsson	Columbus	D	78	17	33	50	-4	59	15	61	80	131	45	101	12.98%	121	1741	22.33	11	6	17	65	256	0	1	1	7	234	1	0	0%	0	0	0	0.57	0	0	0	3	2	2	4
10	Rem Pitlick	Columbus	C/LW/RW	82	11	24	35	-7	14	0	46	128	147	38	91	7.48%	17	1223	14.92	0	0	0	0	0	2	1	3	7	264	2	1	49.21%	1205	0	0	0.57	4	6	0	0	0	1	3
11	John Carlson	Columbus	D	82	9	23	32	4	86	0	103	68	121	41	96	7.44%	151	1832	22.35	5	3	8	64	261	0	0	0	2	269	2	2	0%	0	0	0	0.35	0	0	0	0	1	0	2
12	Mason Appleton	Columbus	RW	82	11	16	27	-13	38	0	90	47	133	37	91	8.27%	5	990	12.08	0	0	0	1	13	0	0	0	0	0	0	0	37.25%	102	0	0	0.55	0	0	0	0	1	1	2
13	Derek Forbort	Columbus	D	82	7	19	26	12	90	10	117	58	63	21	38	11.11%	110	1305	15.93	0	0	0	1	3	0	4	4	1	193	1	1	0%	0	0	0	0.40	0	0	1	0	0	0	1
14	Dillon Dube	Columbus	LW/RW	82	10	15	25	-6	22	0	44	48	115	36	105	8.70%	5	976	11.90	0	0	0	1	1	0	0	0	0	19	2	1	42.19%	64	0	0	0.51	0	0	0	0	1	2	0
15	Kevin Shattenkirk	Columbus	D	79	4	20	24	-4	34	0	51	53	62	25	45	6.45%	96	1223	15.48	2	1	3	15	85	0	0	0	1	13	0	1	0%	0	0	0	0.39	0	0	0	0	0	1	1
16	J.T. Compher	Columbus	C/RW	77	9	11	20	-19	14	0	28	95	143	35	82	6.29%	11	951	12.36	2	1	3	6	28	1	0	1	4	133	0	0	52.02%	1065	0	0	0.42	0	0	0	0	1	0	0
17	Bryan Rust	Columbus	RW	82	5	3	8	2	20	0	54	42	64	18	54	7.81%	13	670	8.18	0	0	0	0	6	1	0	1	6	291	1	0	50.79%	63	0	0	0.24	0	7	0	0	0	2	1
18	Riley Nash	Columbus	C/LW/RW	82	4	3	7	1	0	0	8	88	23	9	12	17.39%	9	599	7.31	0	0	0	0	0	1	0	1	4	328	0	0	53.49%	974	0	0	0.23	0	0	0	0	0	1	0
19	Alexander Barabanov	Columbus	LW/RW	82	4	2	6	-2	8	0	24	13	40	15	23	10.00%	2	340	4.15	0	0	0	0	0	0	0	0	0	0	0	0	41.18%	34	0	0	0.35	0	0	0	0	0	0	0
20	Nicolas Hague	Cleveland (CLB)	D	8	1	2	3	1	14	0	20	5	6	2	5	16.67%	12	165	20.71	1	0	1	4	20	0	0	0	0	18	0	0	0%	0	0	0	0.36	0	0	0	0	0	0	1
21	Matthew Benning	Cleveland (CLB)	D	1	0	0	0	-2	0	0	0	1	0	1	1	0%	0	13	13.30	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1558	289	497	786	51	771	55	1511	1578	3090	921	2207	9.35%	889	25069	16.09	64	100	164	715	2787	5	9	14	39	2434	42	19	50.64%	8337	1	2	0.63	7	22	2	8	29	32	48

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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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	John Gibson	Columbus	65	39	19	6	0.923	2.77	3878	3	179	2311	1	3	0.500	12	65	17	12	5	4
2	Adin Hill	Columbus	19	6	11	1	0.906	3.30	1074	1	59	626	0	2	1.000	5	16	66	2	1	0
Statistiques d’équipe totales ou en moyenne			84	45	30	7	0.919	2.88	4952	4	238	2937	1	5		17	81	83	14	6	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	Ballotage forcé	Waiver Possible	Contrat	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Lien
Adin Hill (contrat à 1 volet)	Columbus	G	26	1996-05-11 05:55:17	No	204 Lbs	6 ft6	No	No	Yes	Yes	1	Pro & Farm	750,000$	750,000$	0$	No				Lien
Alex DeBrincat (contrat à 1 volet)	Columbus	LW/RW	24	1997-12-18	No	169 Lbs	5 ft7	No	No	Yes	Yes	3	Pro & Farm	4,200,000$	4,200,000$	0$	No	4,200,000$	4,200,000$		Lien
Alexander Barabanov (contrat à 1 volet)	Columbus	LW/RW	28	1994-06-17 16:10:26	No	195 Lbs	5 ft10	No	No	No	Yes	1	Pro & Farm	650,000$	650,000$	0$	No
Alexander Wennberg (contrat à 1 volet)	Columbus	C/LW/RW	27	1994-09-22	No	200 Lbs	6 ft2	No	No	Yes	Yes	1	Pro & Farm	2,800,000$	2,800,000$	0$	No				Lien
Bryan Rust (contrat à 1 volet)	Columbus	RW	30	1992-05-11	No	192 Lbs	5 ft11	No	No	No	Yes	2	Pro & Farm	725,000$	725,000$	0$	No	725,000$			Lien
Clayton Keller (contrat à 1 volet)	Columbus	C/LW/RW	23	1998-07-29	No	178 Lbs	5 ft11	No	No	Yes	Yes	2	Pro & Farm	8,200,000$	8,200,000$	0$	No	8,200,000$			Lien
Derek Forbort (contrat à 1 volet)	Columbus	D	30	1992-03-04	No	223 Lbs	6 ft4	No	No	Yes	Yes	3	Pro & Farm	1,300,000$	1,300,000$	0$	No	1,300,000$	1,300,000$		Lien
Dillon Dube	Columbus	LW/RW	23	1998-07-20	Yes	190 Lbs	5 ft11	No	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	No				Lien
Erik Karlsson (contrat à 1 volet)	Columbus	D	32	1990-01-01	No	189 Lbs	6 ft0	No	No	Yes	Yes	1	Pro & Farm	5,500,000$	5,500,000$	0$	No				Lien
Evgeny Kuznetsov (contrat à 1 volet)	Columbus	C	30	1992-05-19	No	199 Lbs	6 ft0	No	No	Yes	Yes	3	Pro & Farm	4,100,000$	4,100,000$	0$	No	4,100,000$	4,100,000$		Lien
J.T. Compher (contrat à 1 volet)	Columbus	C/RW	27	1995-04-08	No	196 Lbs	6 ft0	No	No	Yes	Yes	1	Pro & Farm	2,100,000$	2,100,000$	0$	No				Lien
John Carlson (contrat à 1 volet)	Columbus	D	32	1990-01-10	No	219 Lbs	6 ft3	No	No	Yes	Yes	1	Pro & Farm	2,548,000$	2,548,000$	0$	No				Lien
John Gibson (contrat à 1 volet)	Columbus	G	28	1993-07-14 09:31:55	No	234 Lbs	6 ft3	No	No	Yes	Yes	1	Pro & Farm	1,960,000$	1,960,000$	0$	No				Lien
Jordan Kyrou	Columbus	LW/RW	24	1998-05-05 05:29:11	No	195 Lbs	6 ft0	No	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	No				Lien
Kevin Shattenkirk (contrat à 1 volet)	Columbus	D	33	1989-01-29	No	225 Lbs	5 ft11	No	No	Yes	Yes	3	Pro & Farm	2,200,000$	2,200,000$	0$	No	2,200,000$	2,200,000$		Lien
Mason Appleton (contrat à 1 volet)	Columbus	RW	26	1996-01-15	No	195 Lbs	6 ft2	No	No	Yes	Yes	1	Pro & Farm	1,800,000$	1,800,000$	0$	No				Lien
Mikhail Sergachev (contrat à 1 volet)	Columbus	D	24	1998-06-25	No	217 Lbs	6 ft3	No	No	Yes	Yes	4	Pro & Farm	5,450,000$	5,450,000$	0$	No	5,450,000$	5,450,000$	5,450,000$	Lien
Mikko Rantanen (contrat à 1 volet)	Columbus	RW	25	1996-10-29	No	217 Lbs	6 ft4	No	No	Yes	Yes	2	Pro & Farm	7,500,000$	7,500,000$	0$	No	7,500,000$			Lien
Oliver Ekman-Larsson (contrat à 1 volet)	Columbus	D	30	1991-07-17	No	199 Lbs	6 ft2	No	No	Yes	Yes	3	Pro & Farm	5,500,000$	5,500,000$	0$	No	5,500,000$	5,500,000$		Lien
Rem Pitlick	Columbus	C/LW/RW	25	1997-04-02 04:42:28	Yes	196 Lbs	5 ft11	No	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	No				Lien
Riley Nash (contrat à 1 volet)	Columbus	C/LW/RW	33	1989-05-09	No	208 Lbs	6 ft1	No	No	Yes	Yes	2	Pro & Farm	650,000$	650,000$	0$	No	650,000$			Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	27.62	202 Lbs	6 ft1	1.81	2,868,238$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
60,233,000$	39,825,000$	22,750,000$	5,450,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jordan Kyrou	Clayton Keller	Alex DeBrincat	33	0	0	5
2	Alexander Wennberg	Evgeny Kuznetsov	Mikko Rantanen	32	1	1	3
3	Dillon Dube	Rem Pitlick	Mason Appleton	25	1	2	2
4	Alexander Barabanov	J.T. Compher	Bryan Rust	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Oliver Ekman-Larsson	Mikhail Sergachev	37	1	2	2
2	John Carlson	Erik Karlsson	36	1	2	2
3	Kevin Shattenkirk	Derek Forbort	20	1	2	2
4	Oliver Ekman-Larsson	Mikhail Sergachev	7	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alex DeBrincat	Clayton Keller	Mikko Rantanen	50	0	0	5
2	Jordan Kyrou	Evgeny Kuznetsov	Alexander Wennberg	50	0	0	5

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Oliver Ekman-Larsson	Mikhail Sergachev	50	0	0	5
2	John Carlson	Erik Karlsson	50	0	0	5

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Riley Nash	Bryan Rust	50	1	3	1
2	J.T. Compher	Rem Pitlick	50	1	3	1

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Oliver Ekman-Larsson	Mikhail Sergachev	50	1	4	0
2	John Carlson	Erik Karlsson	50	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	J.T. Compher	50	0	5	0	Oliver Ekman-Larsson	Mikhail Sergachev	50	0	5	0
2	Rem Pitlick	50	0	5	0	John Carlson	Erik Karlsson	50	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Clayton Keller	Mikko Rantanen	50	1	2	2
2	Alexander Wennberg	Jordan Kyrou	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Oliver Ekman-Larsson	Mikhail Sergachev	50	1	2	2
2	John Carlson	Erik Karlsson	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jordan Kyrou	Clayton Keller	Mikko Rantanen	Oliver Ekman-Larsson	Mikhail Sergachev

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jordan Kyrou	Clayton Keller	Mikko Rantanen	Oliver Ekman-Larsson	Mikhail Sergachev

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Mason Appleton, Bryan Rust, Rem Pitlick	Mason Appleton, Bryan Rust	Rem Pitlick

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Kevin Shattenkirk, Derek Forbort, John Carlson	Kevin Shattenkirk	Derek Forbort, John Carlson

Tirs de pénalité
Clayton Keller, Bryan Rust, Rem Pitlick, Alex DeBrincat, Mikhail Sergachev

Gardien
#1 : John Gibson, #2 : Adin Hill

Lignes d’attaque personnalisées en prolongation
Clayton Keller, Mikko Rantanen, Evgeny Kuznetsov, Jordan Kyrou, Alexander Wennberg, Alex DeBrincat, Alex DeBrincat, Mason Appleton, Bryan Rust, Rem Pitlick, Dillon Dube

Lignes de défense personnalisées en prolongation
Oliver Ekman-Larsson, Mikhail Sergachev, John Carlson, Erik Karlsson, Kevin Shattenkirk

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	3	0	2	0	0	1	0	0	9	14	-5	2	0	1	0	0	1	0	0	7	9	-2	1	0	1	0	0	0	0	0	2	5	-3	1	0.167	9	14	23	0	0	5	4	0	0	107	35	31	39	2	111	22	28	53	10	0	0.00%	13	4	69.23%	1	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	72	49	71	21	37	18
2	Boston	4	2	2	0	0	0	0	0	12	13	-1	2	1	1	0	0	0	0	0	6	6	0	2	1	1	0	0	0	0	0	6	7	-1	4	0.500	12	22	34	1	0	5	5	2	0	145	42	54	49	0	120	38	26	102	10	2	20.00%	13	3	76.92%	0	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	93	67	98	26	47	23
3	Buffalo	4	1	2	0	0	0	1	0	16	16	0	2	1	1	0	0	0	0	0	9	8	1	2	0	1	0	0	0	1	0	7	8	-1	4	0.500	16	26	42	0	0	8	6	1	1	143	54	42	43	7	134	38	40	77	6	3	50.00%	19	2	89.47%	0	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	99	68	92	28	53	26
4	Chicago	3	2	1	0	0	0	0	0	10	9	1	1	0	1	0	0	0	0	0	2	4	-2	2	2	0	0	0	0	0	0	8	5	3	4	0.667	10	20	30	0	0	1	6	3	0	89	32	31	26	0	115	40	26	46	9	2	22.22%	13	2	84.62%	0	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	66	47	78	21	34	16
5	Colorado	2	1	0	0	0	1	0	0	8	6	2	1	0	0	0	0	1	0	0	4	5	-1	1	1	0	0	0	0	0	0	4	1	3	3	0.750	8	14	22	0	0	4	1	3	0	76	19	22	33	2	71	17	10	33	8	2	25.00%	5	1	80.00%	0	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	55	42	42	13	23	12
6	Dallas	2	0	1	0	0	0	0	1	3	8	-5	1	0	0	0	0	0	0	1	1	2	-1	1	0	1	0	0	0	0	0	2	6	-4	1	0.250	3	5	8	0	0	3	0	0	1	62	24	19	17	4	70	15	30	30	7	0	0.00%	10	3	70.00%	0	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	54	37	44	14	26	13
7	Detroit	4	2	1	0	1	0	0	0	17	14	3	2	1	0	0	1	0	0	0	6	3	3	2	1	1	0	0	0	0	0	11	11	0	6	0.750	17	31	48	1	0	1	11	4	1	130	36	51	42	1	156	44	40	63	10	3	30.00%	19	5	73.68%	1	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	97	67	93	28	51	26
8	Edmonton	2	1	1	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	4	6	-2	1	1	0	0	0	0	0	0	3	0	3	2	0.500	7	13	20	1	1	4	2	1	0	53	21	13	19	0	71	15	18	33	6	1	16.67%	9	1	88.89%	0	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	48	33	47	15	23	11
9	Floride	4	2	1	0	1	0	0	0	20	16	4	2	0	1	0	1	0	0	0	11	11	0	2	2	0	0	0	0	0	0	9	5	4	6	0.750	20	37	57	0	0	7	4	8	1	177	54	62	60	1	169	44	41	89	16	5	31.25%	13	5	61.54%	0	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	100	73	90	25	49	25
10	LosAngeles	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	6	9	15	0	0	3	2	1	0	64	17	20	27	0	67	15	22	31	4	1	25.00%	11	2	81.82%	0	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	48	33	48	14	23	11
11	Minnesota	2	1	0	0	1	0	0	0	10	5	5	1	0	0	0	1	0	0	0	4	3	1	1	1	0	0	0	0	0	0	6	2	4	4	1.000	10	18	28	0	0	3	1	5	1	90	22	32	34	2	56	16	14	44	8	1	12.50%	7	1	85.71%	0	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	56	41	40	14	25	13
12	Montreal	4	3	1	0	0	0	0	0	10	6	4	2	2	0	0	0	0	0	0	6	2	4	2	1	1	0	0	0	0	0	4	4	0	6	0.750	10	19	29	0	2	3	4	3	0	154	38	52	64	0	113	31	37	69	14	3	21.43%	15	2	86.67%	1	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	102	71	87	29	50	26
13	NYIslanders	6	3	1	0	0	0	1	1	23	21	2	3	2	0	0	0	0	1	0	13	9	4	3	1	1	0	0	0	0	1	10	12	-2	9	0.750	23	40	63	0	0	8	7	7	3	204	66	80	54	11	232	71	66	107	28	4	14.29%	26	3	88.46%	0	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	144	96	146	47	78	39
14	NYRangers	6	2	4	0	0	0	0	0	18	20	-2	3	2	1	0	0	0	0	0	11	9	2	3	0	3	0	0	0	0	0	7	11	-4	4	0.333	18	33	51	0	0	10	3	5	0	197	74	65	58	0	196	64	49	111	22	4	18.18%	20	4	80.00%	1	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	145	102	139	41	74	37
15	Philadelphie	6	1	5	0	0	0	0	0	15	22	-7	3	1	2	0	0	0	0	0	7	9	-2	3	0	3	0	0	0	0	0	8	13	-5	2	0.167	15	28	43	1	0	2	7	6	0	164	62	49	53	0	216	79	72	91	22	4	18.18%	31	4	87.10%	1	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	139	96	147	43	72	36
16	Pittsburgh	6	3	2	0	0	1	0	0	22	20	2	3	1	2	0	0	0	0	0	10	9	1	3	2	0	0	0	1	0	0	12	11	1	7	0.583	22	40	62	0	0	10	5	7	0	243	80	78	83	2	195	47	77	137	48	8	16.67%	33	7	78.79%	0	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	154	108	136	47	72	36
17	San Jose	2	0	1	0	0	0	0	1	3	9	-6	1	0	0	0	0	0	0	1	2	3	-1	1	0	1	0	0	0	0	0	1	6	-5	1	0.250	3	5	8	0	0	1	0	2	0	59	15	17	23	7	75	24	18	45	4	0	0.00%	9	2	77.78%	0	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	46	30	50	16	27	12
18	Seattle	4	2	2	0	0	0	0	0	12	8	4	2	1	1	0	0	0	0	0	6	4	2	2	1	1	0	0	0	0	0	6	4	2	4	0.500	12	20	32	1	1	7	3	2	0	152	68	40	44	0	134	50	35	63	20	2	10.00%	14	3	78.57%	0	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	95	66	98	28	46	23
19	St. Louis	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	4	2	2	2	0.500	6	11	17	0	0	3	1	2	0	71	24	21	26	0	75	24	11	26	7	1	14.29%	2	1	50.00%	0	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	52	38	43	14	24	12
20	Tampa Bay	4	3	1	0	0	0	0	0	15	12	3	2	1	1	0	0	0	0	0	8	7	1	2	2	0	0	0	0	0	0	7	5	2	6	0.750	15	30	45	0	0	3	5	7	0	124	45	32	47	0	124	35	53	68	12	3	25.00%	20	3	85.00%	1	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	98	67	90	28	51	25
21	Vancouver	2	0	1	0	1	0	0	0	7	8	-1	1	0	1	0	0	0	0	0	4	6	-2	1	0	0	0	1	0	0	0	3	2	1	2	0.500	7	12	19	1	0	1	3	2	1	61	17	21	20	3	89	39	26	41	6	1	16.67%	13	4	69.23%	0	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	42	28	52	13	25	12
22	Washington	6	1	5	0	0	0	0	0	14	22	-8	3	1	2	0	0	0	0	0	9	12	-3	3	0	3	0	0	0	0	0	5	10	-5	2	0.167	14	25	39	0	0	5	6	3	0	201	77	81	43	0	243	64	107	136	33	6	18.18%	45	10	77.78%	0	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	146	102	142	43	71	33
23	Winnipeg	2	0	0	0	0	0	1	1	4	4	0	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	1	0	2	1	1	3	0.750	4	6	10	0	0	0	1	2	2	67	15	21	27	10	66	16	23	40	6	2	33.33%	9	1	88.89%	0	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	53	38	50	15	25	12
	Total	82	33	35	0	4	3	3	4	267	268	-1	41	15	17	0	3	2	1	3	137	135	2	41	18	18	0	1	1	2	1	130	133	-3	87	0.530	267	478	745	6	4	97	87	76	11	2833	937	934	931	52	2898	848	869	1535	316	58	18.35%	369	73	80.22%	6	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	2016	1409	1935	594	1016	508
	_Since Last GM Reset	82	33	35	0	4	3	3	4	267	268	-1	41	15	17	0	3	2	1	3	137	135	2	41	18	18	0	1	1	2	1	130	133	-3	87	0.530	267	478	745	6	4	97	87	76	11	2833	937	934	931	52	2898	848	869	1535	316	58	18.35%	369	73	80.22%	6	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	2016	1409	1935	594	1016	508
	_Vs Conference	54	23	25	0	2	1	2	1	182	182	0	27	13	11	0	2	0	1	0	96	85	11	27	10	14	0	0	1	1	1	86	97	-11	56	0.519	182	331	513	3	2	62	63	53	6	1882	628	646	596	22	1898	555	608	1050	221	45	20.36%	254	48	81.10%	5	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	1323	922	1266	391	672	337
	_Vs Division	30	10	17	0	0	1	1	1	92	105	-13	15	7	7	0	0	0	1	0	50	48	2	15	3	10	0	0	1	0	1	42	57	-15	24	0.400	92	166	258	1	0	35	28	28	3	1009	359	353	291	13	1082	325	371	582	153	26	16.99%	155	28	81.94%	2	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	731	506	712	223	369	183

			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	87	W1	267	478	745	2833	2898	848	869	1535	6	4

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	33	35	4	3	3	4	267	268

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	15	17	3	2	1	3	137	135

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	18	1	1	2	1	130	133

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
7	3	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
316	58	18.35%	369	73	80.22%	6

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
937	934	931	52	97	87	76	11

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
1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%

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
2016	1409	1935	594	1016	508

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	RI	Lien
2	12	Washington	2	Columbus	1	BL			R5	Sommaire du match
4	26	NYRangers	2	Columbus	5	BW				Sommaire du match
5	35	Columbus	4	NYIslanders	5	AL	X	X		Sommaire du match
7	46	Columbus	2	Washington	5	AL			R5	Sommaire du match
9	56	Columbus	6	Buffalo	5	AW	X	X		Sommaire du match
11	67	NYIslanders	3	Columbus	4	BW				Sommaire du match
13	79	Columbus	3	Pittsburgh	4	AL	X		R5	Sommaire du match
15	91	Philadelphie	5	Columbus	3	BL				Sommaire du match
17	105	Philadelphie	2	Columbus	1	BL				Sommaire du match
19	117	Columbus	3	Philadelphie	5	AL				Sommaire du match
21	128	Columbus	3	NYIslanders	5	AL				Sommaire du match
23	141	Detroit	1	Columbus	3	BW				Sommaire du match
26	158	Pittsburgh	4	Columbus	3	BL			R5	Sommaire du match
27	166	Columbus	2	Dallas	6	AL				Sommaire du match
30	179	Floride	5	Columbus	6	BW	X			Sommaire du match
31	189	Columbus	5	Detroit	7	AL				Sommaire du match
33	199	Montreal	2	Columbus	3	BW				Sommaire du match
36	217	Philadelphie	2	Columbus	3	BW				Sommaire du match
37	223	Columbus	5	Pittsburgh	4	AW			R5	Sommaire du match
40	240	Edmonton	6	Columbus	4	BL				Sommaire du match
42	248	Columbus	1	Philadelphie	3	AL				Sommaire du match
44	262	Columbus	4	Chicago	2	AW				Sommaire du match
45	271	Pittsburgh	4	Columbus	2	BL			R5	Sommaire du match
47	283	Columbus	2	Winnipeg	1	AW	X	X		Sommaire du match
49	295	Colorado	5	Columbus	4	BL	X			Sommaire du match
51	309	Columbus	2	Anaheim	5	AL				Sommaire du match
52	318	LosAngeles	1	Columbus	3	BW				Sommaire du match
55	335	Columbus	6	Minnesota	2	AW				Sommaire du match
56	340	Columbus	1	Montreal	4	AL				Sommaire du match
58	351	Winnipeg	3	Columbus	2	BL	X	X		Sommaire du match
60	364	Columbus	3	Montreal	0	AW				Sommaire du match
62	376	Vancouver	6	Columbus	4	BL				Sommaire du match
64	388	Columbus	1	Washington	2	AL			R5	Sommaire du match
65	396	Columbus	4	Chicago	3	AW				Sommaire du match
67	406	Chicago	4	Columbus	2	BL				Sommaire du match
70	425	Columbus	4	Philadelphie	5	AL				Sommaire du match
71	432	Dallas	2	Columbus	1	BL	X	X		Sommaire du match
73	443	Columbus	3	NYIslanders	2	AW				Sommaire du match
74	454	Montreal	0	Columbus	3	BW				Sommaire du match
76	468	Anaheim	2	Columbus	1	BL				Sommaire du match
79	481	Columbus	3	Edmonton	0	AW				Sommaire du match
81	495	NYIslanders	4	Columbus	5	BW	X	X		Sommaire du match
82	507	Columbus	4	Floride	3	AW				Sommaire du match
84	518	Columbus	2	NYRangers	4	AL				Sommaire du match
86	527	Anaheim	7	Columbus	6	BL	X			Sommaire du match
89	543	Detroit	2	Columbus	3	BW	X			Sommaire du match
91	556	Columbus	1	Buffalo	3	AL				Sommaire du match
92	565	Columbus	4	Seattle	1	AW				Sommaire du match
94	577	San Jose	3	Columbus	2	BL	X	X		Sommaire du match
96	591	Buffalo	1	Columbus	3	BW				Sommaire du match
99	607	Columbus	6	Detroit	4	AW				Sommaire du match
101	615	Columbus	2	Seattle	3	AL				Sommaire du match
102	622	Pittsburgh	1	Columbus	5	BW			R5	Sommaire du match
104	639	St. Louis	4	Columbus	2	BL				Sommaire du match
106	653	Columbus	1	San Jose	6	AL				Sommaire du match
109	666	Boston	1	Columbus	4	BW				Sommaire du match
110	679	Columbus	2	NYRangers	3	AL				Sommaire du match
112	689	Columbus	4	St. Louis	2	AW				Sommaire du match
113	695	Tampa Bay	4	Columbus	6	BW				Sommaire du match
115	708	Washington	4	Columbus	5	BW			R5	Sommaire du match
118	728	Tampa Bay	3	Columbus	2	BL				Sommaire du match
120	738	Columbus	5	Floride	2	AW				Sommaire du match
122	751	Columbus	2	Washington	3	AL			R5	Sommaire du match
123	759	Minnesota	3	Columbus	4	BW	X			Sommaire du match
125	776	Seattle	4	Columbus	2	BL				Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
129	794	NYRangers	5	Columbus	2	BL				Sommaire du match
130	803	Columbus	3	NYRangers	4	AL				Sommaire du match
132	815	Columbus	3	Vancouver	2	AW	X			Sommaire du match
134	825	Boston	5	Columbus	2	BL				Sommaire du match
135	832	Columbus	3	LosAngeles	2	AW				Sommaire du match
138	845	Columbus	4	Pittsburgh	3	AW			R5	Sommaire du match
140	854	Columbus	2	Boston	4	AL				Sommaire du match
141	862	Washington	6	Columbus	3	BL			R5	Sommaire du match
144	879	NYIslanders	2	Columbus	4	BW				Sommaire du match
146	895	Buffalo	7	Columbus	6	BL				Sommaire du match
149	909	Columbus	3	Tampa Bay	2	AW				Sommaire du match
151	919	Seattle	0	Columbus	4	BW				Sommaire du match
152	923	Columbus	4	Boston	3	AW				Sommaire du match
155	937	Columbus	4	Tampa Bay	3	AW				Sommaire du match
157	950	Columbus	4	Colorado	1	AW				Sommaire du match
159	960	Floride	6	Columbus	5	BL				Sommaire du match
163	982	NYRangers	2	Columbus	4	BW				Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6500	6944	2778	5556	1000
Prix des billets	85	58	45	25	180
Assistance	258,745	233,739	103,467	207,012	35,805
Attendance PCT	97.09%	82.10%	90.84%	90.88%	87.33%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
0	20458 - 89.81%	1,706,479$	69,965,642$	22778	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
68,806,200$	61,933,000$	61,933,000$	0$	4,575,000$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
365,152$	59,844,000$	0$	23	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	415,352$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
12,121$	22,744,182$	22,732,061$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
64,419,000$	581,000$	65,000,000$	24,419,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Jordan Kyrou	AGE:24	PO:82	OV:0
Clayton Keller	AGE:23	PO:81	OV:0
Alex DeBrincat	AGE:24	PO:79	OV:0
Rem Pitlick (R)	AGE:25	PO:67	OV:0
Alexander Wennberg	AGE:27	PO:65	OV:0
Dillon Dube (R)	AGE:23	PO:64	OV:0
Ryan Dzingel	AGE:30	PO:59	OV:0
Frank Vatrano	AGE:28	PO:57	OV:0
Vinnie Hinostroza	AGE:28	PO:54	OV:0
Alexander Barabanov	AGE:28	PO:50	OV:0
Riley Nash	AGE:33	PO:32	OV:0
Zach Sanford	AGE:27	PO:28	OV:0
Dustin Brown	AGE:37	PO:26	OV:0
Carl Soderberg	AGE:36	PO:24	OV:0
Ilya Zubov	AGE:36	PO:15	OV:0
Zach Parise	AGE:37	PO:14	OV:0

Clayton Keller	AGE:23	PO:81	OV:0
Luke Kunin	AGE:24	PO:71	OV:0
Rem Pitlick (R)	AGE:25	PO:67	OV:0
Alexander Wennberg	AGE:27	PO:65	OV:0
J.T. Compher	AGE:27	PO:59	OV:0
Evgeny Kuznetsov	AGE:30	PO:56	OV:0
Byron Froese	AGE:31	PO:38	OV:0
Riley Nash	AGE:33	PO:32	OV:0
Carl Soderberg	AGE:36	PO:24	OV:0
Dave Bolland	AGE:36	PO:20	OV:0

Jordan Kyrou	AGE:24	PO:82	OV:0
Clayton Keller	AGE:23	PO:81	OV:0
Alex DeBrincat	AGE:24	PO:79	OV:0
Mikko Rantanen	AGE:25	PO:73	OV:0
Luke Kunin	AGE:24	PO:71	OV:0
Mason Appleton	AGE:26	PO:67	OV:0
Rem Pitlick (R)	AGE:25	PO:67	OV:0
Alexander Wennberg	AGE:27	PO:65	OV:0
Dillon Dube (R)	AGE:23	PO:64	OV:0
J.T. Compher	AGE:27	PO:59	OV:0
Ryan Dzingel	AGE:30	PO:59	OV:0
Frank Vatrano	AGE:28	PO:57	OV:0
Vinnie Hinostroza	AGE:28	PO:54	OV:0
Bryan Rust	AGE:30	PO:52	OV:0
Alexander Barabanov	AGE:28	PO:50	OV:0
Byron Froese	AGE:31	PO:38	OV:0
Riley Nash	AGE:33	PO:32	OV:0
Dustin Brown	AGE:37	PO:26	OV:0
Carl Soderberg	AGE:36	PO:24	OV:0
Ilya Zubov	AGE:36	PO:15	OV:0
Zach Parise	AGE:37	PO:14	OV:0

Défense #1

Défense #2

Gardien

Mikhail Sergachev	AGE:24	PO:78	OV:0
Nicolas Hague (R)	AGE:23	PO:70	OV:0
John Carlson	AGE:32	PO:59	OV:0
Derek Forbort	AGE:30	PO:53	OV:0
Erik Karlsson	AGE:32	PO:53	OV:0
Oliver Ekman-Larsson	AGE:30	PO:52	OV:0

Matthew Benning	AGE:28	PO:51	OV:0
Kevin Shattenkirk	AGE:33	PO:45	OV:0
Cody Goloubef	AGE:32	PO:38	OV:0
Robert Bortuzzo	AGE:33	PO:21	OV:0
Kevan Miller	AGE:34	PO:17	OV:0
Nick Holden	AGE:35	PO:15	OV:0

Adin Hill	AGE:26	PO:68	OV:0
John Gibson	AGE:28	PO:63	OV:0
Dustin Tokarski	AGE:32	PO:35	OV:0
Chad Johnson	AGE:36	PO:10	OV:0

Espoirs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total
Alenxander Yakovenko*	Columbus	17	161
Andreas Englund	Columbus	13	52
Christian Kyrou	Columbus	21	28
Cruz Lucius	Columbus	21	95
Domenick Fensore	Columbus	18	147
Egor Sokolov*	Columbus	18	35
Ivan Prosvetov	Columbus	17	137
James Hamblin*	Columbus	18	148
Joseph Woll	Columbus	15	65
Justin Kirkland	Columbus	13	56
Kim Nousiainen	Columbus	18	109
Mark Friedman	Columbus	13	81
Mathias Laferriere	Columbus	17	135
Matty Beniers	Columbus	20	1
Matyas Sapovaliv	Columbus	21	60
Nathan Smith*	Columbus	16	134
Nick Abruzzese*	Columbus	17	123
Nick Malik	Columbus	21	106
Nikita Alexandrov	Columbus	18	85
Patrik Puistola	Columbus	18	45
Petr Hauser	Columbus	21	124
Riley McCourt*	Columbus	18	91
Ronnie Attard*	Columbus	17	113
Scott Perunovich*	Columbus	16	43
Tanner Laczynski	Columbus	15	146
Vitali Kravtsov	Columbus	17	8

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
22
23
24
25
26

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

Columbus Historique de transactions

[2024-03-20 18:36:54] - New Record for Team's Most Shots Blocked (25) in 1 Game for Columbus!
[2024-03-12 00:40:55] - TRADE : From Columbus to Pittsburgh : Brendan Leipsic, Y:22-RND:4-ANA.
[2024-03-12 00:40:55] - TRADE : From Pittsburgh to Columbus : J.T. Compher.
[2024-03-12 00:32:20] - TRADE : From Columbus to Boston : Evgeni Malkin, Y:22-RND:4-CLB.
[2024-03-12 00:32:20] - TRADE : From Boston to Columbus : Evgeny Kuznetsov.
[2023-12-29 16:57:21] - Evgeni Malkin has been selected as captain for Columbus.
[2023-12-29 16:57:21] - Unknown Player is no longer captain for Columbus.
[2023-12-28 04:52:00] - TRADE : From Columbus to Boston : Darnell Nurse.
[2023-12-28 04:52:00] - TRADE : From Boston to Columbus : Oliver Ekman-Larsson.
[2023-12-21 02:24:12] - TRADE : From Columbus to Boston : Esa Lindell, Y:23-RND:2-BOS.
[2023-12-21 02:24:12] - TRADE : From Boston to Columbus : John Carlson.
[2023-12-09 08:11:41] - TRADE : From Washington to Columbus : John Gibson, Y:22-RND:2-VAN.
[2023-12-09 08:11:41] - TRADE : From Columbus to Washington : Cory Schneider, Alex Bump (P), David Spacek (P), Y:23-RND:1-CLB.
[2023-12-01 17:41:39] - Claude Giroux is no longer captain for Columbus.
[2023-12-01 17:29:49] - Claude Giroux has been selected as captain for Columbus.
[2023-12-01 17:29:49] - Unknown Player is no longer captain for Columbus.
[2023-12-01 13:48:14] - TRADE : From Edmonton to Columbus : Clayton Keller, Jordan Kyrou.
[2023-12-01 13:48:14] - TRADE : From Columbus to Edmonton : Claude Giroux, Vincent Trocheck, Barrett Hayton (P), Logan Cooley (P), Luca Delbelbelluz (P), Y:22-RND:1-CLB, Y:22-RND:2-CLB.
[2023-11-17 17:32:27] - New Record for Team's Most Shots (61) in 1 Game for Columbus!
[2023-11-14 04:32:25] - Victor Ejdsell* has been deleted from Columbus.
[2023-11-14 04:32:19] - Reid Duke has been deleted from Columbus.
[2023-11-14 04:32:11] - Patrick Sieloff has been deleted from Columbus.
[2023-11-14 04:32:08] - Patrick Harper has been deleted from Columbus.
[2023-11-14 04:32:01] - Mitchell Heard has been deleted from Columbus.
[2023-11-14 04:31:47] - Julius Mattila* has been deleted from Columbus.
[2023-11-14 04:31:42] - Joshua Jacobs has been deleted from Columbus.
[2023-11-14 04:31:38] - Jordan Schmaltz has been deleted from Columbus.
[2023-11-14 04:31:33] - Jasper Weatherby* has been deleted from Columbus.
[2023-11-14 04:31:24] - Damien Riat has been deleted from Columbus.
[2023-11-09 05:43:31] - TRADE : From Pittsburgh to Columbus : Alexander Wennberg, Evgeni Malkin.
[2023-11-09 05:43:31] - TRADE : From Columbus to Pittsburgh : Jonathan Toews, Zach Hyman, Simon Nemec (P), $2,000,000 (Money).
[2023-10-15 19:57:48] - Mikko Rantanen has been selected as assistant for Columbus.
[2023-10-15 19:57:48] - Unknown Player is no longer as assistant for Columbus.
[2023-10-13 04:28:25] - TRADE : From NYIslanders to Columbus : Y:22-RND:5-DET, Y:23-RND:7-NYI.
[2023-10-13 04:28:25] - TRADE : From Columbus to NYIslanders : Blake Coleman, Paul Byron.
[2023-10-07 10:50:50] - Zach Parise signed with Columbus for 1 510 000 $ for 2 year(s).
[2023-10-07 10:50:50] - Zach Parise was added to Columbus.

[2024-04-26 17:52:58] Successfully loaded Columbus lines done with STHS Client - 3.3.9.9
[2024-04-26 17:52:58] Nicolas Hague of Columbus was sent down to farm.
[2024-04-19 18:40:49] Erik Karlsson from Columbus is back from Bruised Left Leg Injury.
[2024-04-17 19:32:41] Successfully loaded Columbus lines done with STHS Client - 3.3.9.9
[2024-04-17 19:32:41] Nicolas Hague of Columbus was sent to pro.
[2024-04-12 19:15:42] Auto Lines Function has been run for Columbus.
[2024-04-12 19:15:42] Columbus lines errors : Normal line # 2 Defense #2 is empty.
[2024-04-12 19:15:40] Columbus lines errors : Normal line # 2 Defense #2 is empty. PP line 2 Defense #2 is empty. PK line 2 Defense #2 is empty. 4 vs 4 line 2 Defense #2 is empty. PK3 line 2 Defense #2 is empty. OT Defense #4 is empty.
[2024-04-12 19:14:34] Pro Game #919 - Mikko Rantanen from Columbus has scored a Hat Trick!
[2024-04-12 19:14:34] Game 919 - Erik Karlsson from Columbus is injured (Bruised Left Leg) and is out for 1 week.
[2024-04-12 19:14:08] Successfully loaded Columbus lines done with STHS Client - 3.3.9.9
[2024-04-10 19:11:13] Successfully loaded Columbus lines done with STHS Client - 3.3.9.9
[2024-04-08 22:14:31] Robert Bortuzzo from Cleveland is back from Exhaustion.
[2024-04-08 22:11:49] Successfully loaded Columbus lines done with STHS Client - 3.3.9.9
[2024-04-05 19:22:59] Robert Bortuzzo from Cleveland is injured from Exhaustion.
[2024-04-05 18:58:37] Successfully loaded Columbus lines done with STHS Client - 3.4.1.1
[2024-04-03 18:52:52] Chad Johnson from Cleveland is back from Exhaustion.
[2024-04-03 18:52:52] Dustin Brown from Cleveland is back from Exhaustion.

Pas de blessure ou de suspension.

Columbus Leaders statistiques des joueurs (saison régulière)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Mikhail Sergachev	241	41	140	181	22	256	409	264	591	6.94%	385	5746	23.85	25	28	53	349	2	2	9	7	4	0%	0	0.63	0	2
2	Erik Karlsson	237	51	103	154	-41	193	190	297	416	12.26%	381	5374	22.68	35	23	58	227	2	2	15	3	0	0%	0	0.57	0	0
3	Mikko Rantanen	164	54	98	152	14	62	212	218	666	8.11%	18	3193	19.48	8	34	42	136	0	0	0	10	2	50.00%	2	0.95	0	0
4	Clayton Keller	164	72	70	142	38	52	150	294	528	13.64%	14	3188	19.44	6	20	26	100	0	0	0	10	4	51.50%	0	0.89	6	10
5	Jordan Kyrou	164	48	86	134	54	4	22	206	670	7.16%	24	2948	17.98	6	16	22	124	0	0	0	12	0	38.84%	0	0.91	0	0

Columbus Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	John Gibson	130	78	38	12	0.923	2.77	7756	0	6	358	4622	2	6	0.500	24
2	Cory Schneider	56	27	27	2	0.906	3.10	3288	6	3	170	1814	3	0	0.737	19
3	Adin Hill	38	12	22	2	0.906	3.30	2149	0	2	118	1252	0	4	1.000	10
4	Keith Kinkaid	4	2	0	0	0.926	2.08	173	0	0	6	81	0	0	0.800	5
5	Dustin Tokarski	11	0	8	1	0.881	3.89	540	2	0	35	293	0	0	0.500	2

Columbus Statistiques de l'Équipe de Carrière

Afficher ou masquer des colonnes

	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Saison régulière
20	82	29	42	0	2	1	4	4	219	262	-43	41	16	21	0	1	0	2	1	109	134	-25	41	13	21	0	1	1	2	3	110	128	-18	75	219	373	592	0	4	81	64	68	10	2371	774	745	832	51	2674	789	902	1508	320	54	16.88%	360	70	80.56%	1	1447	2848	50.81%	1558	3191	48.82%	635	1291	49.19%	1891	1285	2037	618	1039	508
21	82	33	35	0	4	3	3	4	267	268	-1	41	15	17	0	3	2	1	3	137	135	2	41	18	18	0	1	1	2	1	130	133	-3	87	267	478	745	6	4	97	87	76	11	2833	937	934	931	52	2898	848	869	1535	316	58	18.35%	369	73	80.22%	6	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	2016	1409	1935	594	1016	508
21	82	33	35	0	4	3	3	4	267	268	-1	41	15	17	0	3	2	1	3	137	135	2	41	18	18	0	1	1	2	1	130	133	-3	87	267	478	745	6	4	97	87	76	11	2833	937	934	931	52	2898	848	869	1535	316	58	18.35%	369	73	80.22%	6	1664	3217	51.73%	1671	3164	52.81%	696	1291	53.91%	2016	1409	1935	594	1016	508
Total Saison régulière	246	95	112	0	10	7	10	12	753	798	-45	123	46	55	0	7	4	4	7	383	404	-21	123	49	57	0	3	3	6	5	370	394	-24	249	753	1329	2082	12	12	275	238	220	32	8037	2648	2613	2694	155	8470	2485	2640	4578	952	170	17.86%	1098	216	80.33%	13	4775	9282	51.44%	4900	9519	51.48%	2027	3873	52.34%	5925	4104	5908	1808	3073	1525
Séries éliminatoires
Total Séries éliminatoires	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

Columbus Leaders statistiques des joueurs (séries éliminatoires)

Afficher ou masquer des colonnes

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

Columbus Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

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

	Columbus
	GP: 82 \| W: 40 \| L: 35 \| OTL: 7 \| P: 87 GF: 267 \| GA: 268 \| PP%: 18.35% \| PK%: 80.22% DG: Dany Bourdeau \| Morale : 50 \| Moyenne d’équipe : N/A