Canadian Hockey League

Remparts
Accueil
Formation
Pointeurs
Contrats
Trios
Stats Équipe
Calendrier
Charte
Carrière

Centre de jeu
	Sharks 7-19-1, 15pts	2	FINAL	3	Canucks 14-13-0, 28pts

Team Stats
L2	Streak	L1
5-9-1	Home Record	12-4-0
2-10-0	Away Record	2-9-0
2-8-0	Last 10 Games	4-6-0
3.04	Goals Per Game	3.78
4.26	Goals Against Per Game	3.26
19.82%	Power Play Percentage	23.84%
80.39%	Penalty Kill Percentage	78.85%

Sharks
7-19-1, 15pts

FINAL

Oilers
14-12-2, 30pts

Team Stats
L2	Streak	W1
5-9-1	Home Record	7-6-1
2-10-0	Away Record	7-6-1
2-8-0	Last 10 Games	5-5-0
3.04	Goals Per Game	3.00
4.26	Goals Against Per Game	2.46
19.82%	Power Play Percentage	11.76%
80.39%	Penalty Kill Percentage	82.47%

Sharks
7-19-1, 15pts

Jour 59

Flames
8-17-3, 19pts

Stats Équipe
L2	Séquence	W1
5-9-1	Fiche domicile	5-7-2
2-10-0	Fiche visiteur	3-10-1
2-8-0	10 derniers matchs	1-8-1
3.04	Buts par match	3.07
4.26	Buts contre par match	4.07
19.82%	Pourcentage en avantage numérique	18.40%
80.39%	Pourcentage en désavantage numérique	74.85%

Sharks
7-19-1, 15pts

Jour 61

Jets
18-9-1, 37pts

Stats Équipe
L2	Séquence	OTW1
5-9-1	Fiche domicile	7-5-0
2-10-0	Fiche visiteur	11-4-1
2-8-0	10 derniers matchs	8-2-0
3.04	Buts par match	3.50
4.26	Buts contre par match	2.86
19.82%	Pourcentage en avantage numérique	17.42%
80.39%	Pourcentage en désavantage numérique	74.07%

Mammoth
9-16-3, 21pts

Jour 64

Sharks
7-19-1, 15pts

Stats Équipe
L1	Séquence	L2
5-9-2	Fiche domicile	5-9-1
4-7-1	Fiche visiteur	2-10-0
3-6-1	10 derniers matchs	2-8-0
2.75	Buts par match	3.04
4.21	Buts contre par match	4.26
27.88%	Pourcentage en avantage numérique	19.82%
80.00%	Pourcentage en désavantage numérique	80.39%

Meneurs d'équipe
	Buts Brett Howden 12	Passes Bowen Byram 21

	Points Bowen Byram 26	Plus/Moins Maxwell Crozier 4

	Victoires Joonas Korpisalo 6	Pourcentage d’arrêts Vitek Vanecek 0.901

Stats Équipe
Buts pour 82 3.04 GFG	Tirs pour 797 29.52 Avg	Pourcentage en avantage numérique 19.8% 22 GF	Début de zone offensive 38.6%
Buts contre 115 4.26 GAA	Tirs contre 972 36.00 Avg	Pourcentage en désavantage numérique 80.4% 30 GA	Début de la zone défensive 43.3%

Blessure/Suspension
Pas de blessure ou de suspension.

Information d’équipe
	Directeur général
	Entraîneur	Drew Bannister
	Division	Pacific
	Conférence	Western
	Capitaine
	Assistant #1	Ryan Strome
	Assistant #2	Kasperi Kapanen
Uniformes

Informations de l’aréna
	Nom	West Coast Arena
	Capacité	25,000
	Assistance	18,768
	Billets de saison	10,000
Information formation
	Équipe Pro	25
	Équipe Mineure	24
	Limite contact	49 / 50
	Espoirs	30
Plafond salarial
	Cap Salarial de la Saison estimé	67,905,200$
	Plafond salarial disponible	22,094,800$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	25
Finance
	Revenu annuel à ce jour	24,798,720$
	Dépenses annuelles à ce jour	22,348,858$
	Revenus de la saison estimés	42,984,448$
	Dépenses de la saison estimées	50,556,360$
	Compte bancaire actuel	21,852,340$
	Compte bancaire projeté	12,972,344$
Historique d'équipe
	Saison actuelle	7-19-1 (15PTS)
	Historique	679-854-133 (0.408%)
	Apparitions séries éliminatoires	4
	Historique séries éliminatoires (W-L)	7-16
	Stanley Cup	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	Fabian Zetterlund		X			99.00	83	52	87	83	69	82	99	65	40	61	69	80	80	74	78	65	13	71	0	26	5	4,000,000$
2	Brett Howden	X				99.00	75	56	79	82	66	79	98	66	88	57	74	78	40	76	78	60	15	70	0	27	3	3,000,000$
3	Patrik Laine		X			100.00	52	54	85	83	73	79	79	71	40	61	82	62	85	76	78	60	13	69	0	27	1	7,500,000$
4	Ryan Strome (A)			X		100.00	55	52	73	83	59	82	99	66	77	71	60	68	61	86	84	35	15	68	0	32	1	5,000,000$
5	Kevin Stenlund	X				100.00	54	55	80	77	74	79	99	59	94	54	64	78	40	80	80	50	15	67	0	29	1	2,000,000$
6	Connor Brown			X		100.00	45	44	88	82	53	78	99	60	40	57	63	76	40	84	81	40	15	66	0	31	1	3,000,000$
7	Jesperi Kotkaniemi	X				100.00	60	57	77	79	69	78	96	62	87	62	63	65	73	72	75	70	15	66	0	25	1	4,235,000$
8	Matej Blumel		X			100.00	48	44	82	85	60	76	66	69	40	60	70	70	40	72	74	70	15	66	0	25	1	825,000$
9	Jakob Pelletier			X		100.00	62	38	86	84	40	74	77	61	40	60	62	75	40	70	72	75	15	64	0	24	1	1,017,500$
10	Kasperi Kapanen (A)		X			100.00	71	48	85	77	60	74	89	54	77	50	57	58	40	80	77	50	9	61	0	29	1	3,000,000$
11	Adam Larsson				X	100.00	70	56	82	78	71	85	99	61	40	61	61	90	40	88	87	30	15	75	0	33	2	4,500,000$
12	Filip Hronek				X	100.00	74	46	77	86	56	89	85	69	40	78	60	81	40	78	84	55	15	74	0	28	6	1$
13	Bowen Byram				X	100.00	61	51	79	83	66	87	99	66	40	71	61	77	40	70	79	75	15	72	0	24	3	6,200,000$
14	Kevin Bahl				X	100.00	75	64	80	75	88	85	93	57	40	59	55	79	40	72	79	70	15	72	0	25	7	2,000,000$
15	Anthony Deangelo				X	100.00	51	42	84	88	49	89	67	70	40	75	64	65	67	82	86	45	16	68	0	30	1	5,000,000$
16	Ty Emberson				X	98.76	79	54	85	76	62	75	95	53	40	52	53	78	40	72	74	70	9	68	0	25	1	1,250,000$
17	David Jiricek				X	100.00	63	53	80	76	71	70	51	57	40	54	60	61	40	66	68	85	17	62	0	22	1	925,000$
18	Maxwell Crozier				X	100.00	69	64	61	76	66	56	51	55	40	59	51	70	99	72	64	70	13	62	0	25	1	632,500$
Rayé
1	Pavel Zacha	X				96.00	58	55	85	82	70	87	99	69	88	73	64	76	51	78	83	55	17	71	0	28	4	5,500,000$
2	Noah Gregor		X			100.00	82	56	79	76	62	73	79	51	40	45	56	65	99	76	75	60	17	61	0	27	1	1,232,000$
3	Filip Zadina			X		100.00	58	46	85	80	56	60	50	58	40	51	65	65	60	74	67	65	13	60	0	26	1	3,025,000$
4	Mikael Pyyhtia		X			100.00	52	42	87	78	49	75	75	51	40	45	57	74	40	70	73	75	19	60	0	24	3	575,000$
Équipe Mineure
1	Florian Xhekaj (R)	X				100.00	76	76	39	81	71	78	68	46	70	33	59	70	40	64	71	90	26	59	0	21	3	925,000$
2	Marian Studenic		X			100.00	58	45	86	78	52	60	50	53	40	57	49	60	40	76	68	60	26	57	0	27	1	1,364,000$
3	Peter Abbandonato	X				100.00	59	57	87	77	54	60	50	49	70	53	45	60	40	76	68	60	26	56	0	27	1	1,001,000$
4	Nathan Smith	X				100.00	99	43	77	75	50	69	59	43	70	43	42	55	90	76	73	60	26	56	0	27	1	770,000$
5	Karl Henriksson		X			100.00	68	57	86	75	43	60	50	40	40	35	44	60	40	70	65	75	26	52	0	24	1	925,000$
6	Reece Newkirk		X			100.00	62	74	73	75	50	60	50	36	40	38	34	63	40	70	65	75	23	51	0	24	1	1,017,500$
7	Timur Ibragimov		X			100.00	48	44	89	75	52	60	50	40	40	36	44	60	40	72	66	70	24	51	0	25	1	907,500$
8	Stelio Mattheos			X		100.00	68	51	69	75	63	60	50	37	40	36	38	50	40	74	67	65	26	50	0	26	3	575,000$
9	Leon Gawanke				X	100.00	67	63	71	79	62	55	50	58	40	61	56	53	40	74	65	65	26	60	0	26	1	1,232,000$
10	Dysin Mayo				X	100.00	87	46	60	75	56	62	57	41	40	36	47	55	40	80	71	50	26	58	0	29	1	575,000$
11	Ryan Johnson				X	100.00	45	48	78	75	61	70	65	34	40	34	34	70	40	70	70	75	26	58	0	24	1	750,000$
12	Cameron Crotty				X	100.00	68	56	73	75	73	68	63	31	40	33	30	53	40	74	71	65	26	57	0	26	1	100,100$
13	Alex Kannok-Leipert				X	100.00	60	58	58	75	61	63	58	34	40	30	38	59	40	72	68	70	26	56	0	25	3	575,000$
14	Axel Andersson				X	100.00	58	56	81	75	59	55	50	32	40	30	34	61	40	72	64	70	26	55	0	25	1	1,119,250$
15	Michael Krutil				X	100.00	79	52	84	75	69	55	50	31	40	32	30	54	40	68	62	80	26	55	0	23	3	575,000$
16	Riley Stillman				X	100.00	78	64	57	75	61	55	50	37	40	34	41	51	40	76	66	60	26	55	0	27	1	575,000$
17	Charlie Wright (R)				X	100.00	58	43	88	87	53	55	50	33	40	36	30	57	40	66	61	85	26	55	0	22	3	575,000$
18	Joey Keane				X	100.00	60	61	77	75	56	55	50	38	40	39	36	50	40	74	65	65	26	53	0	26	3	575,000$
19	Albin Grewe		X			100.00	59	60	79	75	49	60	50	32	40	35	30	50	40	70	65	75	20	48	0	24	3	575,000$
20	Maxim Golod		X			100.00	57	69	83	75	52	60	50	34	40	34	35	50	40	72	66	70	20	48	0	25	3	575,000$
21	Sawyer Boulton (R)		X			100.00	71	77	33	84	66	60	50	27	40	20	35	57	40	64	62	90	20	48	0	21	3	575,000$

	MOYENNE D’ÉQUIPE					99.81	65	54	77	79	61	70	69	50	48	49	51	65	48	74	72	65	20	61

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	Joonas Korpisalo	100.00	82	63	63	91	82	79	79	81	80	79	79	84	82	40	12	78	0	31	2	2,500,000$
2	Vitek Vanecek	100.00	82	60	60	86	73	66	67	67	66	69	96	80	73	50	13	69	0	29	1	2,500,000$
Rayé
1	Dustin Tokarski	100.00	77	50	60	86	50	50	50	50	50	50	50	94	72	15	30	59	0	36	1	575,000$
Équipe Mineure
1	Ilya Konovalov	100.00	76	50	60	85	50	50	50	50	50	50	60	76	63	60	24	57	0	27	1	770,000$
2	Jaxson Stauber	100.00	75	50	60	85	50	50	50	50	50	50	60	74	62	65	32	57	0	26	1	650,000$
3	Hugo Alnefelt	100.00	76	50	60	84	50	50	50	50	50	50	87	70	60	75	20	56	0	24	1	1,017,500$

	MOYENNE D’ÉQUIPE	100.00	78	54	61	86	59	58	58	58	58	58	72	80	69	51	22	63

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Drew Bannister	94	89	87	89	86	50	68	CAN	51	4	5,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	FW	FL	S1	S2	S3
1	Bowen Byram	Sharks	D	27	5	21	26	1	10	0	24	39	41	18	29	12.20%	39	597	22.13	4	5	9	24	83	0	1	1	1	110	2	0	0.00%	0	0	0.87	0	0	0	0	2
2	Brett Howden	Sharks	C	27	12	13	25	0	34	0	75	64	94	24	75	12.77%	12	556	20.61	3	3	6	19	84	1	0	1	1	90	1	0	49.86%	690	0	0.90	0	0	2	3	2
3	Pavel Zacha	Sharks	C	22	6	12	18	-12	6	0	13	66	73	16	41	8.22%	14	560	25.46	2	7	9	15	69	0	0	0	4	125	0	1	47.25%	819	0	0.64	0	0	1	1	2
4	Filip Hronek	Sharks	D	27	3	14	17	-18	42	0	54	40	45	20	29	6.67%	32	655	24.27	2	3	5	34	91	0	0	0	1	117	0	0	0.00%	0	0	0.52	0	0	0	1	0
5	Adam Larsson	Sharks	D	27	5	10	15	-20	32	0	45	32	56	19	36	8.93%	47	676	25.05	4	1	5	33	91	0	0	0	0	117	1	0	0.00%	0	0	0.44	0	0	0	0	1
6	Matej Blumel	Sharks	LW	27	8	7	15	0	10	0	17	43	56	12	37	14.29%	3	372	13.78	1	0	1	3	13	0	0	0	0	19	0	0	48.72%	39	0	0.81	0	0	0	0	1
7	Fabian Zetterlund	Sharks	LW	23	6	8	14	-14	36	0	81	34	59	11	44	10.17%	4	548	23.84	1	4	5	14	73	0	0	0	2	107	1	0	33.33%	171	0	0.51	0	0	1	0	0
8	Connor Brown	Sharks	RW	27	7	7	14	-5	0	0	2	29	66	19	52	10.61%	5	457	16.96	0	4	4	14	86	0	0	0	0	0	1	0	31.03%	29	1	0.61	0	0	1	0	0
9	Ryan Strome	Sharks	RW	27	6	8	14	-18	12	0	22	26	60	17	43	10.00%	3	494	18.33	2	4	6	22	88	0	0	0	0	24	1	0	57.14%	35	0	0.57	0	0	0	0	0
10	Kevin Bahl	Sharks	D	27	2	11	13	0	46	0	74	17	22	9	21	9.09%	29	566	20.99	0	2	2	12	84	0	0	0	0	94	0	0	0.00%	0	0	0.46	0	0	0	1	0
11	Jakob Pelletier	Sharks	RW	27	8	5	13	-2	10	0	31	33	48	11	25	16.67%	2	346	12.82	0	0	0	0	0	0	0	0	0	10	0	1	39.13%	23	0	0.75	0	0	0	1	1
12	Kevin Stenlund	Sharks	C	27	7	6	13	-11	8	0	27	40	43	12	30	16.28%	1	371	13.75	2	2	4	3	21	0	0	0	0	0	0	0	54.06%	431	0	0.70	0	0	1	1	0
13	Patrik Laine	Sharks	LW	27	3	9	12	-11	19	5	24	28	81	18	64	3.70%	5	544	20.15	1	2	3	28	87	0	0	0	3	77	0	0	37.04%	54	0	0.44	0	1	0	2	0
14	Anthony Deangelo	Sharks	D	15	1	3	4	-3	0	0	3	6	8	2	4	12.50%	9	166	11.13	0	0	0	0	0	0	0	0	1	16	0	0	0.00%	0	0	0.48	0	0	0	0	0
15	Ty Emberson	Sharks	D	23	0	4	4	-6	49	5	42	15	13	2	11	0.00%	21	259	11.29	0	0	0	0	1	0	0	0	0	2	0	0	0.00%	0	0	0.31	1	0	0	0	0
16	Maxwell Crozier	Sharks	D	19	1	3	4	4	20	0	23	6	4	1	1	25.00%	14	157	8.28	0	0	0	0	0	0	0	0	0	15	0	0	0.00%	0	0	0.51	0	0	0	0	0
17	Jesperi Kotkaniemi	Sharks	C	27	1	2	3	-3	4	0	7	17	19	3	16	5.26%	3	167	6.20	0	0	0	1	1	0	0	0	1	17	0	0	55.68%	185	0	0.36	0	0	0	0	0
18	David Jiricek	Sharks	D	19	0	2	2	-7	0	0	9	7	3	1	3	0.00%	6	160	8.43	0	0	0	0	0	0	0	0	0	19	0	0	0.00%	0	0	0.25	0	0	0	0	0
19	Kasperi Kapanen	Sharks	LW	12	1	0	1	0	2	0	6	2	2	0	2	50.00%	1	69	5.80	0	0	0	0	0	0	0	0	0	7	0	0	60.00%	5	0	0.29	0	0	0	0	0
20	Filip Zadina	Sharks	RW	8	0	0	0	0	0	0	0	3	0	1	1	0.00%	0	32	4.06	0	0	0	0	1	0	0	0	0	0	0	0	100.00%	1	0	0.00	0	0	0	0	0
21	Noah Gregor	Sharks	LW	17	0	0	0	0	2	0	8	2	4	0	4	0.00%	1	53	3.14	0	0	0	0	0	0	0	0	0	2	0	0	0.00%	5	0	0.00	0	0	0	0	0
22	Mikael Pyyhtia	Sharks	LW	4	0	0	0	0	0	0	0	2	0	0	0	0.00%	0	1	0.39	0	0	0	0	1	0	0	0	0	0	0	0	0.00%	1	0	0.00	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				486	82	145	227	-125	342	10	587	551	797	216	568	10.29%	251	7816	16.08	22	37	59	222	881	1	1	2	14	978	7	2	48.43%	2488	1	0.58	1	1	6	10	9

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	A	EG	ST	BG	S2	S3
1	Joonas Korpisalo	Sharks	24	6	16	1	0.884	4.26	1295	0	92	795	1	0	22	5	1	1
2	Vitek Vanecek	Sharks	8	1	2	0	0.901	3.18	264	2	14	141	0	1	4	20	0	0
3	Dustin Tokarski	Sharks	1	0	1	0	0.794	7.12	59	0	7	34	0	1	1	2	0	0
Statistiques d’équipe totales ou en moyenne			33	7	19	1	0.884	4.19	1619	2	113	970	1	2	27	27	1	1

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	2039	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2040	2041	2042	2043	2044	2045	2046	Link
Adam Larsson	Sharks	D	33	1992-11-12	No	207 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	4,500,000$	4,500,000$	3,033,708$	No	4,500,000$	UFA						Lien / Lien NHL
Anthony Deangelo	Sharks	D	30	1995-10-24	No	180 Lbs	5 ft11	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	3,370,787$	No	UFA							Lien / Lien NHL
Bowen Byram	Sharks	D	24	2001-06-13	No	205 Lbs	6 ft1	No	No	Yes	3	Pro Only	6,200,000$	6,200,000$	4,179,775$	No	6,200,000$	6,200,000$	RFA					Lien / Lien NHL
Brett Howden	Sharks	C	27	1998-03-29	No	201 Lbs	6 ft2	No	No	Yes	3	Pro & Farm	3,000,000$	3,000,000$	2,022,472$	No	3,000,000$	3,000,000$	UFA					Lien / Lien NHL
Connor Brown	Sharks	RW	31	1994-01-14	No	184 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	2,022,472$	No	UFA							Lien / Lien NHL
David Jiricek	Sharks	D	22	2003-11-28	No	204 Lbs	6 ft4	No	No	No	1	Pro & Farm	925,000$	925,000$	623,596$	No	RFA							Lien / Lien NHL
Dustin Tokarski	Sharks	G	36	1989-09-16	No	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	575,000$	575,000$	387,640$	No	UFA							Lien / Lien NHL
Fabian Zetterlund	Sharks	LW	26	1999-08-25	No	220 Lbs	5 ft11	No	No	Yes	5	Pro & Farm	4,000,000$	4,000,000$	2,696,629$	No	4,000,000$	4,000,000$	4,000,000$	4,000,000$	UFA			Lien / Lien NHL
Filip Hronek	Sharks	D	28	1997-11-02	No	190 Lbs	6 ft0	Yes	No	Yes	6	Pro Only	1$	1$	1$	No	7,000,000$	7,000,000$	7,000,000$	7,000,000$	7,000,000$	UFA		Lien / Lien NHL
Filip Zadina	Sharks	RW	26	1999-11-27	No	190 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	3,025,000$	3,025,000$	2,039,326$	No	RFA							Lien / Lien NHL
Jakob Pelletier	Sharks	RW	24	2001-03-07	No	170 Lbs	5 ft9	No	No	No	1	Pro & Farm	1,017,500$	1,017,500$	685,955$	No	RFA							Lien / Lien NHL
Jesperi Kotkaniemi	Sharks	C	25	2000-07-06	No	203 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	4,235,000$	4,235,000$	2,855,056$	No	RFA							Lien / Lien NHL
Joonas Korpisalo	Sharks	G	31	1994-04-28	No	182 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	2,500,000$	2,500,000$	1,685,393$	No	2,500,000$	UFA						Lien / Lien NHL
Kasperi Kapanen	Sharks	LW	29	1996-07-23	No	194 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	2,022,472$	No	UFA							Lien / Lien NHL
Kevin Bahl	Sharks	D	25	2000-06-27	No	230 Lbs	6 ft6	No	No	No	7	Pro & Farm	2,000,000$	2,000,000$	1,348,315$	No	2,000,000$	2,000,000$	2,000,000$	2,000,000$	2,000,000$	2,000,000$	UFA	Lien / Lien NHL
Kevin Stenlund	Sharks	C	29	1996-09-20	No	213 Lbs	6 ft3	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	1,348,315$	No	UFA							Lien / Lien NHL
Matej Blumel	Sharks	LW	25	2000-05-31	No	198 Lbs	6 ft0	No	No	No	1	Pro & Farm	825,000$	825,000$	556,180$	No	RFA							Lien / Lien NHL
Maxwell Crozier	Sharks	D	25	2000-04-19	No	198 Lbs	6 ft3	No	No	No	1	Pro & Farm	632,500$	632,500$	426,404$	No	RFA							Lien / Lien NHL
Mikael Pyyhtia	Sharks	LW	24	2001-12-17	No	176 Lbs	6 ft0	No	No	No	3	Pro & Farm	575,000$	575,000$	387,640$	No	575,000$	575,000$	RFA					Lien / Lien NHL
Noah Gregor	Sharks	LW	27	1998-07-28	No	201 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,232,000$	1,232,000$	830,562$	No	UFA							Lien / Lien NHL
Patrik Laine	Sharks	LW	27	1998-04-19	No	208 Lbs	6 ft4	No	No	Yes	1	Pro Only	7,500,000$	7,500,000$	5,056,180$	No	UFA							Lien / Lien NHL
Pavel Zacha	Sharks	C	28	1997-04-06	No	206 Lbs	6 ft3	No	No	Yes	4	Pro Only	5,500,000$	5,500,000$	3,707,865$	No	5,500,000$	5,500,000$	5,500,000$	UFA				Lien / Lien NHL
Ryan Strome	Sharks	RW	32	1993-07-11	No	192 Lbs	6 ft1	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	3,370,787$	No	UFA							Lien / Lien NHL
Ty Emberson	Sharks	D	25	2000-05-23	No	193 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,250,000$	1,250,000$	842,697$	No	RFA							Lien / Lien NHL
Vitek Vanecek	Sharks	G	29	1996-01-09	No	180 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	2,500,000$	2,500,000$	1,685,393$	No	UFA							Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
25	27.52	197 Lbs	6 ft1	2.04	2,799,680$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
69,992,001$	35,275,000$	28,275,000$	18,500,000$	13,000,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Fabian Zetterlund	Brett Howden	Ryan Strome	40	1	2	2
2	Patrik Laine	Kevin Stenlund	Connor Brown	30	1	2	2
3	Matej Blumel	Jesperi Kotkaniemi	Jakob Pelletier	20	1	2	2
4	Kasperi Kapanen	Fabian Zetterlund	Brett Howden	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Adam Larsson	Filip Hronek	40	1	2	2
2	Kevin Bahl	Bowen Byram	30	1	2	2
3	Ty Emberson	Anthony Deangelo	20	1	2	2
4	Maxwell Crozier	David Jiricek	10	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Fabian Zetterlund	Brett Howden	Ryan Strome	60	1	2	2
2	Patrik Laine	Kevin Stenlund	Connor Brown	40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Adam Larsson	Filip Hronek	60	1	2	2
2	Kevin Bahl	Bowen Byram	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Fabian Zetterlund	Brett Howden	60	1	2	2
2	Patrik Laine	Ryan Strome	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Adam Larsson	Filip Hronek	60	1	2	2
2	Kevin Bahl	Bowen Byram	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Fabian Zetterlund	60	1	2	2	Adam Larsson	Filip Hronek	60	1	2	2
2	Brett Howden	40	1	2	2	Kevin Bahl	Bowen Byram	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Fabian Zetterlund	Brett Howden	60	1	2	2
2	Patrik Laine	Ryan Strome	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Adam Larsson	Filip Hronek	60	1	2	2
2	Kevin Bahl	Bowen Byram	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Fabian Zetterlund	Brett Howden	Ryan Strome	Adam Larsson	Filip Hronek

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Fabian Zetterlund	Brett Howden	Ryan Strome	Adam Larsson	Filip Hronek

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jesperi Kotkaniemi, Matej Blumel, Jakob Pelletier	Jesperi Kotkaniemi, Matej Blumel	Jakob Pelletier

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Ty Emberson, Anthony Deangelo, Maxwell Crozier	Ty Emberson	Anthony Deangelo, Maxwell Crozier

Tirs de pénalité
Fabian Zetterlund, Brett Howden, Patrik Laine, Ryan Strome, Kevin Stenlund

Gardien
#1 : Joonas Korpisalo, #2 : Vitek Vanecek

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Avalanche	2	0	2	0	0	0	0	0	4	10	-6	2	0	2	0	0	0	0	0	4	10	-6	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	8	12	0	0	1	2	1	0	73	26	22	25	0	60	14	22	40	7	1	14.29%	11	2	81.82%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	53	36	39	14	26	14
2	Blackhawks	2	1	0	0	0	1	0	0	7	7	0	2	1	0	0	0	1	0	0	7	7	0	0	0	0	0	0	0	0	0	0	0	0	3	0.750	7	13	20	0	0	2	2	3	0	63	21	17	23	2	74	25	24	52	8	1	12.50%	11	1	90.91%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	45	30	54	15	23	11
3	BlueJackets	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	4	6	0	0	2	0	0	0	31	16	9	6	0	47	5	20	22	5	1	20.00%	9	1	88.89%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	20	13	28	7	11	5
4	Blues	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	3	7	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	0	1	2	0	24	7	5	12	0	32	2	6	14	5	1	20.00%	3	1	66.67%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	24	16	22	7	13	7
5	Bruins	2	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	5	9	14	0	0	1	3	1	0	37	10	17	10	0	71	16	24	37	6	3	50.00%	11	4	63.64%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	43	29	50	15	25	11
6	Canadiens	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	1	0	0	0	26	6	7	13	0	41	8	10	22	5	1	20.00%	5	1	80.00%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	21	14	27	7	11	5
7	Canucks	3	1	2	0	0	0	0	0	8	9	-1	1	1	0	0	0	0	0	0	5	2	3	2	0	2	0	0	0	0	0	3	7	-4	2	0.333	8	15	23	0	0	1	1	6	0	89	31	28	30	0	100	28	38	66	9	1	11.11%	18	5	72.22%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	68	45	74	22	37	18
8	Capitals	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	7	1	6	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	12	19	0	0	1	3	3	0	36	9	10	17	0	28	9	6	29	1	1	100.00%	1	1	0.00%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	26	19	20	6	13	7
9	Ducks	1	1	0	0	0	0	0	0	6	1	5	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	1	5	2	1.000	6	10	16	0	0	2	3	1	0	35	12	15	8	0	34	4	12	19	5	2	40.00%	6	0	100.00%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	24	16	22	7	13	6
10	Flames	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	2	2	0	0	36	8	19	9	0	23	10	8	29	6	1	16.67%	4	1	75.00%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	26	18	20	6	13	7
11	GoldenKnights	2	1	1	0	0	0	0	0	6	6	0	2	1	1	0	0	0	0	0	6	6	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	6	9	15	0	0	2	2	2	0	59	25	14	20	0	88	22	32	49	8	2	25.00%	14	2	85.71%	1	502	959	52.35%	477	1075	44.37%	226	450	50.22%	43	28	52	15	24	11
12	Jets	1	0	1	0	0	0	0	0	3	7	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	7	-4	0	0.000	3	5	8	0	0	2	1	0	0	20	6	6	8	0	44	4	14	19	5	0	0.00%	7	1	85.71%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	19	12	28	7	12	5
13	Kings	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	0	0	2	0	27	12	6	9	0	31	12	8	21	3	0	0.00%	4	0	100.00%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	23	15	23	6	12	6
14	Oilers	2	1	1	0	0	0	0	0	8	9	-1	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	8	9	-1	2	0.500	8	12	20	1	0	3	2	3	0	83	20	16	47	0	60	21	14	48	17	4	23.53%	7	2	71.43%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	47	33	45	15	26	12
15	Panthers	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	0	1	0	18	6	9	3	0	33	12	16	17	2	0	0.00%	7	2	71.43%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	20	13	27	7	11	4
16	Penguins	1	0	1	0	0	0	0	0	6	8	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	6	8	-2	0	0.000	6	9	15	1	0	1	4	1	0	27	5	10	12	0	35	21	12	20	4	1	25.00%	5	2	60.00%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	23	16	23	6	12	6
17	Predators	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	1	0	0	29	5	11	13	0	47	11	17	17	5	0	0.00%	6	1	83.33%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	24	16	22	7	13	7
18	RedWings	2	0	2	0	0	0	0	0	3	9	-6	1	0	1	0	0	0	0	0	0	5	-5	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	0	1	1	1	0	56	20	23	13	0	88	20	45	47	8	1	12.50%	17	1	94.12%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	37	23	57	15	24	11
19	Wild	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	0	0	2	1	0	28	10	13	5	0	36	7	16	19	2	1	50.00%	7	2	71.43%	0	502	959	52.35%	477	1075	44.37%	226	450	50.22%	19	13	28	8	12	4
	Total	27	7	19	0	0	1	0	0	82	115	-33	15	5	9	0	0	1	0	0	43	60	-17	12	2	10	0	0	0	0	0	39	55	-16	15	0.278	82	145	227	2	0	24	30	28	0	797	255	257	283	2	972	251	344	587	111	22	19.82%	153	30	80.39%	1	502	959	52.35%	477	1075	44.37%	226	450	50.22%	614	413	669	202	339	165
	_Since Last GM Reset	27	7	19	0	0	1	0	0	82	115	-33	15	5	9	0	0	1	0	0	43	60	-17	12	2	10	0	0	0	0	0	39	55	-16	15	0.278	82	145	227	2	0	24	30	28	0	797	255	257	283	2	972	251	344	587	111	22	19.82%	153	30	80.39%	1	502	959	52.35%	477	1075	44.37%	226	450	50.22%	614	413	669	202	339	165
	_Vs Conference	18	6	11	0	0	1	0	0	56	72	-16	10	4	5	0	0	1	0	0	31	40	-9	8	2	6	0	0	0	0	0	25	32	-7	13	0.361	56	99	155	1	0	16	19	21	0	566	183	172	209	2	629	160	211	393	80	14	17.50%	98	18	81.63%	1	502	959	52.35%	477	1075	44.37%	226	450	50.22%	420	284	434	136	228	113
	_Vs Division	10	5	5	0	0	0	0	0	34	31	3	4	3	1	0	0	0	0	0	15	10	5	6	2	4	0	0	0	0	0	19	21	-2	10	0.500	34	58	92	1	0	10	10	14	0	329	108	98	123	0	336	97	112	232	48	10	20.83%	53	10	81.13%	1	502	959	52.35%	477	1075	44.37%	226	450	50.22%	233	157	239	74	127	62

			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
27	15	L2	82	145	227	797	972	251	344	587	2	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
27	7	19	0	1	0	0	82	115

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	5	9	0	1	0	0	43	60

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	2	10	0	0	0	0	39	55

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
2	8	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
111	22	19.82%	153	30	80.39%	1

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
255	257	283	2	24	30	28	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
502	959	52.35%	477	1075	44.37%	226	450	50.22%

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
614	413	669	202	339	165

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	Lien
1	13	Avalanche	7	Sharks	2	BL		Sommaire du match
3	22	Sharks	4	Oilers	3	AW		Sommaire du match
5	43	Sharks	1	Canucks	4	AL		Sommaire du match
7	57	Flames	2	Sharks	4	BW		Sommaire du match
8	66	GoldenKnights	4	Sharks	3	BL		Sommaire du match
10	81	Blackhawks	5	Sharks	4	BL	X	Sommaire du match
13	99	RedWings	5	Sharks	0	BL		Sommaire du match
16	123	Sharks	6	Ducks	1	AW		Sommaire du match
17	131	Sharks	2	Kings	4	AL		Sommaire du match
20	153	GoldenKnights	2	Sharks	3	BW		Sommaire du match
22	171	Predators	6	Sharks	2	BL		Sommaire du match
24	188	Panthers	5	Sharks	2	BL		Sommaire du match
26	200	Sharks	3	Jets	7	AL		Sommaire du match
27	204	Sharks	3	Wild	4	AL		Sommaire du match
29	222	Blues	7	Sharks	3	BL		Sommaire du match
31	238	Canadiens	5	Sharks	1	BL		Sommaire du match
35	262	Blackhawks	2	Sharks	3	BW		Sommaire du match
37	280	Avalanche	3	Sharks	2	BL		Sommaire du match
40	295	Sharks	3	Bruins	6	AL		Sommaire du match
42	313	Sharks	3	RedWings	4	AL		Sommaire du match
43	318	Sharks	2	BlueJackets	5	AL		Sommaire du match
45	340	Sharks	6	Penguins	8	AL		Sommaire du match
48	362	Bruins	4	Sharks	2	BL		Sommaire du match
50	377	Canucks	2	Sharks	5	BW		Sommaire du match
52	392	Capitals	1	Sharks	7	BW		Sommaire du match
55	411	Sharks	2	Canucks	3	AL		Sommaire du match
57	424	Sharks	4	Oilers	6	AL		Sommaire du match
59	438	Sharks	-	Flames	-
61	462	Sharks	-	Jets	-
64	481	Mammoth	-	Sharks	-
71	512	Sharks	-	Capitals	-
72	514	Sharks	-	Panthers	-
74	531	Sharks	-	Lightning	-
77	547	Sharks	-	Mammoth	-
78	560	Penguins	-	Sharks	-
81	583	Senators	-	Sharks	-
83	601	Sharks	-	GoldenKnights	-
85	610	Oilers	-	Sharks	-
86	619	Kings	-	Sharks	-
88	634	Lightning	-	Sharks	-
91	653	Sharks	-	Avalanche	-
93	665	Sharks	-	Flames	-
95	680	Sharks	-	Oilers	-
97	700	Ducks	-	Sharks	-
98	711	Mammoth	-	Sharks	-
99	724	Kings	-	Sharks	-
101	739	Jets	-	Sharks	-
103	751	Sharks	-	Wild	-
105	763	Sharks	-	Blackhawks	-
108	791	Stars	-	Sharks	-
111	810	Devils	-	Sharks	-
113	819	Sharks	-	Mammoth	-
114	830	Sharks	-	Stars	-
116	845	Hurricanes	-	Sharks	-
119	863	Sharks	-	Canadiens	-
120	875	Sharks	-	Senators	-
123	895	Sharks	-	MapleLeafs	-
124	896	Sharks	-	Sabres	-
127	925	Sharks	-	GoldenKnights	-
128	936	Canucks	-	Sharks	-
130	955	Oilers	-	Sharks	-
133	979	Blues	-	Sharks	-
135	995	MapleLeafs	-	Sharks	-
137	1008	Predators	-	Sharks	-
139	1016	Flames	-	Sharks	-
141	1033	Sharks	-	Blues	-
142	1039	Sharks	-	Stars	-
144	1054	Wild	-	Sharks	-
147	1074	Flyers	-	Sharks	-
149	1090	BlueJackets	-	Sharks	-
151	1104	Rangers	-	Sharks	-
153	1107	Sharks	-	Ducks	-
155	1125	Sharks	-	Hurricanes	-
158	1148	Sharks	-	Predators	-
161	1166	Islanders	-	Sharks	-
163	1179	Sabres	-	Sharks	-
167	1199	Sharks	-	Devils	-
169	1224	Sharks	-	Rangers	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171	1235	Sharks	-	Flyers	-
172	1240	Sharks	-	Islanders	-
175	1257	Sharks	-	Kings	-
177	1268	Ducks	-	Sharks	-

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Fabian Zetterlund

AGE:26
SK:		83
EN:		82
DU:		99
PH:		65
PA:		61
SC:		69
DF:		80
Patrik Laine

AGE:27
SK:		83
EN:		79
DU:		79
PH:		71
PA:		61
SC:		82
DF:		62
Matej Blumel

AGE:25
SK:		85
EN:		76
DU:		66
PH:		69
PA:		60
SC:		70
DF:		70
Noah Gregor

AGE:27
SK:		76
EN:		73
DU:		79
PH:		51
PA:		45
SC:		56
DF:		65
Kasperi Kapanen

AGE:29
SK:		77
EN:		74
DU:		89
PH:		54
PA:		50
SC:		57
DF:		58
Mikael Pyyhtia

AGE:24
SK:		78
EN:		75
DU:		75
PH:		51
PA:		45
SC:		57
DF:		74
Marian Studenic

AGE:27
SK:		78
EN:		60
DU:		50
PH:		53
PA:		57
SC:		49
DF:		60
Karl Henriksson

AGE:24
SK:		75
EN:		60
DU:		50
PH:		40
PA:		35
SC:		44
DF:		60
Reece Newkirk

AGE:24
SK:		75
EN:		60
DU:		50
PH:		36
PA:		38
SC:		34
DF:		63
Timur Ibragimov

AGE:25
SK:		75
EN:		60
DU:		50
PH:		40
PA:		36
SC:		44
DF:		60
Sawyer Boulton (R)

AGE:21
SK:		84
EN:		60
DU:		50
PH:		27
PA:		20
SC:		35
DF:		57
Albin Grewe

AGE:24
SK:		75
EN:		60
DU:		50
PH:		32
PA:		35
SC:		30
DF:		50
Maxim Golod

AGE:25
SK:		75
EN:		60
DU:		50
PH:		34
PA:		34
SC:		35
DF:		50

Pavel Zacha

AGE:28
SK:		82
EN:		87
DU:		99
PH:		69
PA:		73
SC:		64
DF:		76
Brett Howden

AGE:27
SK:		82
EN:		79
DU:		98
PH:		66
PA:		57
SC:		74
DF:		78
Kevin Stenlund

AGE:29
SK:		77
EN:		79
DU:		99
PH:		59
PA:		54
SC:		64
DF:		78
Jesperi Kotkaniemi

AGE:25
SK:		79
EN:		78
DU:		96
PH:		62
PA:		62
SC:		63
DF:		65
Florian Xhekaj (R)

AGE:21
SK:		81
EN:		78
DU:		68
PH:		46
PA:		33
SC:		59
DF:		70
Peter Abbandonato

AGE:27
SK:		77
EN:		60
DU:		50
PH:		49
PA:		53
SC:		45
DF:		60
Nathan Smith

AGE:27
SK:		75
EN:		69
DU:		59
PH:		43
PA:		43
SC:		42
DF:		55

Ryan Strome

AGE:32
SK:		83
EN:		82
DU:		99
PH:		66
PA:		71
SC:		60
DF:		68
Connor Brown

AGE:31
SK:		82
EN:		78
DU:		99
PH:		60
PA:		57
SC:		63
DF:		76
Jakob Pelletier

AGE:24
SK:		84
EN:		74
DU:		77
PH:		61
PA:		60
SC:		62
DF:		75
Filip Zadina

AGE:26
SK:		80
EN:		60
DU:		50
PH:		58
PA:		51
SC:		65
DF:		65
Stelio Mattheos

AGE:26
SK:		75
EN:		60
DU:		50
PH:		37
PA:		36
SC:		38
DF:		50

Défense #1

Défense #2

Gardien

Adam Larsson

AGE:33
SK:		78
EN:		85
DU:		99
PH:		61
PA:		61
SC:		61
DF:		90
Filip Hronek

AGE:28
SK:		86
EN:		89
DU:		85
PH:		69
PA:		78
SC:		60
DF:		81
Bowen Byram

AGE:24
SK:		83
EN:		87
DU:		99
PH:		66
PA:		71
SC:		61
DF:		77
Kevin Bahl

AGE:25
SK:		75
EN:		85
DU:		93
PH:		57
PA:		59
SC:		55
DF:		79
Ty Emberson

AGE:25
SK:		76
EN:		75
DU:		95
PH:		53
PA:		52
SC:		53
DF:		78
Anthony Deangelo

AGE:30
SK:		88
EN:		89
DU:		67
PH:		70
PA:		75
SC:		64
DF:		65
David Jiricek

AGE:22
SK:		76
EN:		70
DU:		51
PH:		57
PA:		54
SC:		60
DF:		61
Maxwell Crozier

AGE:25
SK:		76
EN:		56
DU:		51
PH:		55
PA:		59
SC:		51
DF:		70
Leon Gawanke

AGE:26
SK:		79
EN:		55
DU:		50
PH:		58
PA:		61
SC:		56
DF:		53

Ryan Johnson

AGE:24
SK:		75
EN:		70
DU:		65
PH:		34
PA:		34
SC:		34
DF:		70
Dysin Mayo

AGE:29
SK:		75
EN:		62
DU:		57
PH:		41
PA:		36
SC:		47
DF:		55
Cameron Crotty

AGE:26
SK:		75
EN:		68
DU:		63
PH:		31
PA:		33
SC:		30
DF:		53
Alex Kannok-Leipert

AGE:25
SK:		75
EN:		63
DU:		58
PH:		34
PA:		30
SC:		38
DF:		59
Charlie Wright (R)

AGE:22
SK:		87
EN:		55
DU:		50
PH:		33
PA:		36
SC:		30
DF:		57
Michael Krutil

AGE:23
SK:		75
EN:		55
DU:		50
PH:		31
PA:		32
SC:		30
DF:		54
Axel Andersson

AGE:25
SK:		75
EN:		55
DU:		50
PH:		32
PA:		30
SC:		34
DF:		61
Riley Stillman

AGE:27
SK:		75
EN:		55
DU:		50
PH:		37
PA:		34
SC:		41
DF:		51
Joey Keane

AGE:26
SK:		75
EN:		55
DU:		50
PH:		38
PA:		39
SC:		36
DF:		50

Joonas Korpisalo

AGE:31
SK:		82
AG:		82
RB:		79
SC:		79
HS:		81
RT:		80
DF:		79
Vitek Vanecek

AGE:29
SK:		82
AG:		73
RB:		66
SC:		67
HS:		67
RT:		66
DF:		69
Dustin Tokarski

AGE:36
SK:		77
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Jaxson Stauber

AGE:26
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Ilya Konovalov

AGE:27
SK:		76
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Hugo Alnefelt

AGE:24
SK:		76
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

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
Adam Jiricek	Sharks	2038	21
Arttu Karki	Sharks	2037	113
Artyom Galimov	Sharks	2034	100
Artyom Gonchar	Sharks	2039	131
Ashton Cumby	Sharks	2039	193
Axel Landen	Sharks	2037	163
Brady Martin	Sharks	2039	7
Chase Cheslock	Sharks	2037	194
Cole Reschny	Sharks	2039	13
Damian Clara	Sharks	2037	65
Daniil Chechelev	Sharks	2034	102
Dominic Basse	Sharks	2033	178
Ian Scott	Sharks	2031	147
Jacob Golden	Sharks	2031	190
Jaromir Pytlik	Sharks	2034	93
Jesse Nurmi	Sharks	2037	145
Jonathan Castagna	Sharks	2037	94
Joshua Ravensbergen	Sharks	2039	38
Julius Miettinen	Sharks	2038	40
Kalan Lind	Sharks	2037	57
Kirill Ustimenko	Sharks	2031	126
Liam Pettersson	Sharks	2039	69
Linus Funck	Sharks	2039	162
Marcus Karlberg	Sharks	2032	96
Paul Fischer	Sharks	2037	168
Sacha Boisvert	Sharks	2038	16
Sean Keohane	Sharks	2037	214
Thimo Nickl	Sharks	2034	124
Tommy Lafreniere	Sharks	2039	100
Visa Vedenpaa	Sharks	2037	209

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7
2040
2041
2042

Sharks Leaders statistiques (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	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Milan Michalek	845	250	314	564	-49	565	897	1403	2371	10.54%	269	16871	19.97	76	121	197	549	2	2	4	58	38	16	34.39%	4	0.67	17	80
2	Alexander Svitov	1338	199	329	528	91	1355	1468	1551	2085	9.54%	693	20293	15.17	27	46	73	177	11	15	26	77	33	11	51.61%	4	0.52	6	27
3	Rich Peverley	649	182	309	491	-19	175	300	1818	1731	10.51%	204	12723	19.60	52	115	167	312	2	6	8	39	17	14	56.01%	3	0.77	6	23
4	Ryan Strome	665	168	281	449	-113	230	483	1447	1569	10.71%	123	12139	18.26	47	88	135	345	1	4	5	37	21	8	51.02%	5	0.74	8	27
5	Braydon Coburn	1161	99	324	423	-118	1730	2238	1125	1341	7.38%	1589	24064	20.73	62	86	148	658	2	10	12	17	8	3	0.00%	0	0.35	0	1

Sharks 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	SAR	A	EG	PS %	PSA
1	Jonas Hiller	506	207	242	41	0.899	3.27	29338	60	7	1597	15753	1467	35	7	0.772	224
2	Vitek Vanecek	248	101	109	17	0.889	3.59	13456	22	7	804	7233	0	2	6	0.727	55
3	Keith Kinkaid	128	50	64	8	0.889	3.83	7043	8	2	449	4058	0	4	4	0.686	35
4	Jose Theodore	92	48	36	5	0.913	2.63	5367	19	3	235	2704	1104	9	0	0.860	50
5	Jose Theodore	81	41	30	9	0.910	2.80	4824	4	3	225	2500	1059	2	0	0.618	34

Sharks 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
2017	82	38	30	0	3	1	3	7	256	242	14	41	21	13	0	1	1	2	3	141	120	21	41	17	17	0	2	0	1	4	115	122	-7	83	256	418	674	0	3	0	59	93	98	2576	0	746	920	890	2584	863	1443	1763	250	44	17.60%	310	50	83.87%	11	1076	2028	53.06%	1043	2018	51.68%	695	1382	50.29%	1676	906	1891	855	1564	773
2018	82	34	34	0	1	2	8	3	228	237	-9	41	18	16	0	1	2	2	2	121	123	-2	41	16	18	0	0	0	6	1	107	114	-7	72	228	359	587	0	4	0	55	83	81	2366	0	684	832	824	2471	866	1487	1625	190	33	17.37%	250	49	80.40%	11	960	1851	51.86%	1094	2062	53.06%	660	1302	50.69%	1623	839	1746	788	1609	805
2019	82	31	34	0	4	2	7	4	223	227	-4	41	16	23	0	0	1	0	1	102	120	-18	41	15	11	0	4	1	7	3	121	107	14	72	223	343	566	2	0	0	44	84	84	2710	0	781	951	950	2599	881	1030	1929	219	44	20.09%	268	51	80.97%	3	1031	2077	49.64%	1023	2118	48.30%	544	1153	47.18%	1709	958	1778	778	1502	722
2020	82	36	31	0	1	3	8	3	263	236	27	41	18	16	0	1	1	5	0	138	110	28	41	18	15	0	0	2	3	3	125	126	-1	77	263	403	666	0	1	0	48	108	98	2839	0	872	1028	923	2620	837	989	2038	243	40	16.46%	213	36	83.10%	8	1122	2253	49.80%	1011	2058	49.13%	618	1231	50.20%	1785	1033	1726	752	1469	722
2021	82	23	43	0	5	2	5	4	230	285	-55	41	12	23	0	2	1	3	0	114	145	-31	41	11	20	0	3	1	2	4	116	140	-24	58	230	409	639	1	2	0	86	68	66	2431	0	837	767	795	2611	748	1062	1877	452	85	18.81%	441	96	78.23%	7	1539	3019	50.98%	1470	3094	47.51%	652	1298	50.23%	1927	1312	2021	626	1034	509
2022	82	29	39	0	0	4	4	6	234	285	-51	41	15	18	0	0	1	4	3	110	133	-23	41	14	21	0	0	3	0	3	124	152	-28	62	234	416	650	1	1	0	82	83	65	2562	0	822	846	867	2748	830	1145	1907	421	84	19.95%	444	91	79.50%	3	1510	3028	49.87%	1520	3258	46.65%	606	1254	48.33%	1898	1287	2050	628	1027	503
2023	82	26	39	0	2	3	5	7	240	287	-47	41	14	18	0	0	3	3	3	128	149	-21	41	12	21	0	2	0	2	4	112	138	-26	59	240	421	661	3	1	0	87	71	75	2180	0	739	694	714	2855	859	1199	2020	381	84	22.05%	545	108	80.18%	2	1383	2728	50.70%	1606	3355	47.87%	658	1292	50.93%	1806	1198	2152	637	1028	489
2024	82	24	48	0	1	1	2	6	213	313	-100	41	13	22	0	0	1	1	4	115	148	-33	41	11	26	0	1	0	1	2	98	165	-67	61	213	364	577	1	0	0	76	73	61	2226	0	730	760	719	2713	806	1258	1901	409	75	18.34%	525	119	77.33%	2	1466	2775	52.83%	1567	3140	49.90%	620	1256	49.36%	1954	1336	1997	616	1012	492
2025	82	21	47	0	2	3	3	6	211	289	-78	41	13	20	0	1	3	1	3	115	148	-33	41	8	27	0	1	0	2	3	96	141	-45	61	211	377	588	2	1	0	78	66	62	2520	0	827	859	807	2693	796	1017	1797	411	70	17.03%	439	90	79.50%	2	1581	3019	52.37%	1606	3079	52.16%	629	1242	50.64%	1955	1336	1990	623	1034	509
2026	82	16	57	0	1	1	3	4	205	340	-135	41	9	27	0	1	0	3	1	104	163	-59	41	7	30	0	0	1	0	3	101	177	-76	45	205	369	574	2	1	0	69	78	54	2414	0	804	833	762	2768	797	1185	1886	423	69	16.31%	461	114	75.27%	3	1440	2966	48.55%	1476	3139	47.02%	637	1371	46.46%	1917	1302	2026	619	1017	499
2027	82	19	49	0	2	2	4	6	224	295	-71	41	8	23	0	2	2	2	4	113	143	-30	41	11	26	0	0	0	2	2	111	152	-41	58	224	384	608	1	4	0	82	75	61	2394	0	809	814	740	2708	821	1022	1931	434	71	16.36%	466	106	77.25%	1	1233	2943	41.90%	1211	3060	39.58%	540	1316	41.03%	1881	1268	2059	623	1035	507
2030	82	28	37	0	1	4	9	3	212	224	-12	41	18	17	0	0	0	5	1	113	106	7	41	10	20	0	1	4	4	2	99	118	-19	83	212	362	574	2	6	0	78	67	57	2492	0	835	838	791	2474	672	973	1803	457	73	15.97%	410	83	79.76%	3	1638	3065	53.44%	1520	2978	51.04%	641	1216	52.71%	1978	1343	1954	638	1055	527
2031	82	23	46	0	0	3	4	6	233	306	-73	41	10	24	0	0	2	3	2	116	154	-38	41	13	22	0	0	1	1	4	117	152	-35	63	233	409	642	4	3	0	79	85	65	2490	0	844	802	819	2786	788	1117	1792	413	70	16.95%	460	94	79.57%	6	1589	2988	53.18%	1557	3167	49.16%	710	1343	52.87%	1890	1270	2050	632	1033	504
2032	82	23	44	0	4	3	4	4	229	317	-88	41	14	16	0	4	2	2	3	131	145	-14	41	9	28	0	0	1	2	1	98	172	-74	69	229	404	633	3	2	0	81	70	70	2375	0	787	750	808	2970	913	1056	1919	367	73	19.89%	447	87	80.54%	2	1404	2904	48.35%	1583	3300	47.97%	655	1332	49.17%	1784	1176	2154	640	1035	496
2033	82	24	48	0	2	3	3	2	247	354	-107	41	12	21	0	1	3	3	1	131	174	-43	41	12	27	0	1	0	0	1	116	180	-64	63	247	436	683	1	0	0	107	71	64	2454	0	825	753	859	2906	827	902	1696	408	81	19.85%	390	90	76.92%	4	1435	2905	49.40%	1498	3093	48.43%	656	1393	47.09%	1799	1194	2094	635	1056	510
2034	82	34	38	0	4	0	4	2	272	280	-8	41	16	22	0	2	0	1	0	127	135	-8	41	18	16	0	2	0	3	2	145	145	0	86	272	484	756	0	4	0	88	90	86	2715	0	876	901	911	2715	768	1026	1911	424	88	20.75%	423	77	81.80%	3	1512	3071	49.23%	1489	3106	47.94%	696	1370	50.80%	1938	1324	1986	616	1031	511
2035	82	31	36	0	3	3	4	5	280	284	-4	41	12	19	0	2	2	2	4	121	146	-25	41	19	17	0	1	1	2	1	159	138	21	84	280	498	778	3	2	0	108	81	84	2688	0	849	919	889	2670	759	895	1802	370	71	19.19%	378	66	82.54%	2	1516	2917	51.97%	1465	3041	48.17%	701	1359	51.58%	1973	1380	1983	607	1023	507
2036	82	22	45	0	8	2	3	2	261	345	-84	41	13	22	0	3	1	1	1	143	162	-19	41	9	23	0	5	1	2	1	118	183	-65	70	261	471	732	1	3	0	91	91	68	2439	0	823	733	857	2645	779	864	1713	391	71	18.16%	359	89	75.21%	5	1433	2789	51.38%	1279	2818	45.39%	688	1367	50.33%	1994	1392	1951	595	1018	513
2037	82	34	39	0	3	4	1	1	274	299	-25	41	16	19	0	2	2	1	1	139	151	-12	41	18	20	0	1	2	0	0	135	148	-13	81	274	498	772	1	2	110	73	87	5	2419	777	854	773	20	2639	861	1102	1810	381	86	22.57%	450	98	78.22%	3	1433	2796	51.25%	1525	3089	49.37%	702	1320	53.18%	1937	1324	1987	611	1022	503
2038	82	20	51	0	3	4	2	2	247	355	-108	41	9	26	0	1	2	2	1	122	176	-54	41	11	25	0	2	2	0	1	125	179	-54	56	247	436	683	2	1	95	76	71	8	2391	798	725	852	33	2822	778	920	1720	379	73	19.26%	405	84	79.26%	3	1549	2816	55.01%	1472	2876	51.18%	772	1384	55.78%	1841	1234	2059	633	1048	507
2039	27	7	19	0	0	1	0	0	82	115	-33	15	5	9	0	0	1	0	0	43	60	-17	12	2	10	0	0	0	0	0	39	55	-16	15	82	145	227	2	0	24	30	28	0	797	255	257	283	2	972	251	344	587	111	22	19.82%	153	30	80.39%	1	502	959	52.35%	477	1075	44.37%	226	450	50.22%	614	413	669	202	339	165
Total Saison régulière	1667	543	854	0	50	51	86	83	4864	5915	-1051	835	282	414	0	24	31	46	38	2487	2911	-424	832	261	440	0	26	20	40	45	2377	3004	-627	1378	4864	8406	13270	32	41	229	1577	1623	1312	50478	1830	16326	16908	14980	54969	16500	22036	37427	7534	1407	18.68%	8237	1708	79.26%	85	28352	55897	50.72%	28492	58924	48.35%	13306	26631	49.96%	37891	24834	40334	13365	22999	11281
Séries éliminatoires
2017	6	2	4	0	0	0	0	0	15	19	-4	3	2	1	0	0	0	0	0	8	6	2	3	0	3	0	0	0	0	0	7	13	-6	4	15	24	39	0	0	0	4	6	5	232	0	58	84	89	178	56	97	151	14	4	28.57%	23	1	95.65%	0	89	174	51.15%	75	143	52.45%	48	103	46.60%	123	69	2025	910	110	53
2018	6	2	4	0	0	0	0	0	17	18	-1	3	1	2	0	0	0	0	0	8	9	-1	3	1	2	0	0	0	0	0	9	9	0	4	17	31	48	0	0	0	2	7	7	165	0	48	62	54	175	61	93	117	14	4	28.57%	19	3	84.21%	0	61	135	45.19%	76	159	47.80%	38	90	42.22%	108	53	139	59	113	56
2020	7	3	4	0	0	0	0	0	17	17	0	3	1	2	0	0	0	0	0	8	9	-1	4	2	2	0	0	0	0	0	9	8	1	6	17	27	44	0	1	0	3	7	7	240	0	60	103	77	218	70	91	166	11	1	9.09%	18	3	83.33%	0	102	184	55.43%	87	183	47.54%	44	92	47.83%	148	86	148	63	122	58
2037	4	0	4	0	0	0	0	0	9	21	-12	2	0	2	0	0	0	0	0	5	12	-7	2	0	2	0	0	0	0	0	4	9	-5	0	9	16	25	0	0	5	3	1	0	126	42	31	39	14	183	40	48	107	26	1	3.85%	19	3	84.21%	0	90	179	50.28%	98	198	49.49%	43	75	57.33%	102	67	117	34	54	26
Total Séries éliminatoires	23	7	16	0	0	0	0	0	58	75	-17	11	4	7	0	0	0	0	0	29	36	-7	12	3	9	0	0	0	0	0	29	39	-10	14	58	98	156	0	1	5	12	21	19	763	42	197	288	234	754	227	329	541	65	10	15.38%	79	10	87.34%	0	342	672	50.89%	336	683	49.19%	173	360	48.06%	482	277	2431	1068	401	195

Sharks Leaders statistiques (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	PKS	GW	GT	FO%	P/20
1	Alexander Svitov	108	15	24	39	-38	97	151	131	232	6.47%	56	1784	16.53	4	8	12	12	8	2	1	50.48%	0.44
2	Milan Michalek	13	5	7	12	10	15	17	20	42	11.90%	7	243	18.73	0	1	1	3	0	1	0	16.67%	0.99
3	Dustin Brown	7	3	7	10	6	27	16	10	34	8.82%	1	147	21.11	0	0	0	5	0	0	0	43.33%	1.35
4	Nikolai Antropov	13	2	7	9	-5	8	14	18	30	6.67%	7	259	19.93	1	2	3	4	1	0	0	38.96%	0.69
5	Sean Avery	6	4	2	6	-3	9	15	6	15	26.67%	5	121	20.28	2	1	3	4	0	0	1	55.56%	0.99

Sharks 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
1	Jonas Hiller	7	3	4	0	0.922	2.43	419	2	1	17	218	82
2	Jose Theodore	6	2	3	1	0.893	3.11	367	4	0	19	178	71
3	Jose Theodore	6	2	4	0	0.897	2.99	361	0	0	18	175	65
4	Joonas Korpisalo	1	0	1	0	0.762	8.57	35	0	0	5	21	0
5	Vitek Vanecek	4	0	2	1	0.901	4.02	239	0	0	16	162	0