Barracuda
Accueil
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension

Centre de jeu
	Panthers 29-38-13, 71pts	1	FINAL	4	Sharks 40-32-8, 88pts

Team Stats
L5	Streak	L1
16-18-6	Home Record	21-15-4
13-20-7	Away Record	19-17-4
0-8-2	Last 10 Games	6-4-0
3.19	Buts par match	3.56
3.93	Buts contre par match	3.43
17.58%	Pourcentage en avantage numérique	17.26%
79.79%	Pourcentage en désavantage numérique	77.81%

Sharks
40-32-8, 88pts

FINAL

Flyers
36-34-10, 82pts

Team Stats
L1	Streak	SOL1
21-15-4	Home Record	20-18-2
19-17-4	Away Record	16-16-8
6-4-0	Last 10 Games	6-3-1
3.56	Buts par match	3.19
3.43	Buts contre par match	3.29
17.26%	Pourcentage en avantage numérique	16.12%
77.81%	Pourcentage en désavantage numérique	82.06%

Meneurs d'équipe
	Buts Brandon Dubinsky 34	Passes Drew Doughty 72

	Points Drew Doughty 92	Plus/Moins Tyler Cuma 25

	Victoires Philipp Grubauer 33	Pourcentage d’arrêts Malcolm Subban 0.906

Statistiques d’équipe
Buts pour 285 3.56 GFG	Tirs pour 2488 31.10 Avg	Pourcentage en avantage numérique 17.3% 53 GF	Début de zone offensive 36.7%
Buts contre 274 3.43 GAA	Tirs contre 2550 31.88 Avg	Pourcentage en désavantage numérique 77.8%% 77 GA	Début de la zone défensive 38.4%

Informations de l'équipe
	Directeur général	Roland Roberge
	Entraîneur	Patrick Roy
	Division	Stein
	Conférence	Prince de Galles
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	SAP Center
	Capacité	18,000
	Assistance	17,213
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	31
	Limite contact	54 / 250
	Espoirs	0
Plafond salarial
	Cap Salarial de la Saison estimé	57,841,239$
	Plafond salarial disponible	7,327,405$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	55,730,357$
	Dépenses annuelles à ce jour	59,291,437$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	2,168,644$
	Compte bancaire projeté	2,168,644$

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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
1	Joe Pavelski			X		100.00	71	47	76	75	81	79	77	81	77	76	78	77	74	90	95	18	48	77	1	33	1	2,500,000$
2	Brandon Dubinsky	X				100.00	81	39	83	76	76	81	73	81	72	78	81	65	67	81	73	20	57	76	0	31	1	3,750,000$
3	Daniel Carcillo		X			100.00	77	36	72	83	82	68	82	77	62	76	75	79	71	78	73	16	55	75	0	32	2	1,750,000$
4	Ronalds Kenins		X			100.00	81	30	74	81	82	75	73	78	70	78	78	73	70	63	58	35	57	75	0	26	1	2,500,000$
5	Wayne Simmonds			X		100.00	80	44	79	75	79	67	82	79	72	78	77	77	71	74	63	26	47	75	0	29	1	3,750,000$
6	Zach Parise		X			100.00	66	57	69	77	76	81	73	76	70	77	76	73	70	91	96	18	70	75	1	33	3	3,000,000$
7	Conor Sheary			X		100.00	72	50	82	80	77	79	83	78	72	77	85	67	73	56	52	45	56	75	0	25	3	4,000,000$
8	Marek Svatos			X		100.00	72	48	81	78	75	74	69	76	69	68	80	65	74	86	91	12	14	74	0	35	2	800,000$
9	Andreas Martinsen		X			100.00	78	35	75	73	73	74	78	74	69	75	78	72	70	77	69	30	49	73	0	27	1	1,200,000$
10	Oscar Sundqvist	X				100.00	73	36	78	75	74	80	78	73	74	78	79	72	74	56	50	46	51	73	0	23	1	1,100,000$
11	Brendan Gaunce (R)	X				100.00	64	35	76	79	73	77	77	76	80	81	75	61	67	61	51	49	55	72	0	23	1	1,100,000$
12	Gustav Nyquist		X			100.00	74	26	75	72	78	73	83	76	77	78	77	68	62	63	60	27	52	72	0	28	1	1,500,000$
13	Drew Doughty				X	100.00	77	30	84	87	90	82	88	94	58	92	79	83	71	88	74	34	59	83	2	28	1	8,000,000$
14	Mike Lundin				X	100.00	72	33	75	78	83	77	82	80	55	78	78	91	59	90	74	14	41	79	1	33	2	3,500,000$
15	Dion Phaneuf				X	100.00	77	57	73	81	85	80	72	70	59	81	79	80	73	93	73	19	52	78	1	32	2	5,000,000$
16	Tyler Cuma				X	100.00	76	23	82	84	77	84	81	81	61	88	70	79	72	80	53	31	54	78	1	27	1	2,750,000$
17	Karl Alzner				X	100.00	76	31	81	79	79	75	79	77	63	81	68	79	72	80	63	25	48	76	1	29	1	3,000,000$
18	Markus Nutivaara (R)				X	100.00	68	35	77	79	71	63	76	89	42	93	64	75	56	62	48	54	57	74	0	23	4	1,000,000$
Rayé
1	Boone Jenner	X				99.93	78	28	82	78	87	74	78	73	76	76	80	68	75	54	49	46	35	74	0	24	1	1,500,000$
2	Arturs Kulda				X	100.00	73	36	73	78	75	81	60	73	58	74	62	82	65	69	55	23	19	73	0	29	3	1,100,000$
3	MacKenzie Weegar (R)				X	100.00	55	34	86	87	56	67	72	84	42	79	59	83	48	49	48	53	19	71	0	23	4	1,500,000$
Équipe Mineure
1	Brandon Kozun			X		100.00	69	24	77	71	71	78	78	74	73	75	72	62	68	65	58	26	45	70	0	27	2	950,000$
2	William Carrier (R)		X			100.00	80	40	76	71	70	67	76	74	68	78	67	65	68	56	47	39	45	69	0	23	3	980,000$
3	Emil Pettersson (R)	X				100.00	64	28	81	68	69	64	73	71	75	76	70	57	65	54	47	37	45	67	0	23	3	800,000$
4	Kurtis Macdermid (R)		X			100.00	79	61	73	62	73	63	76	64	51	69	52	72	55	50	52	49	67	66	0	23	1	500,000$
5	Cole Ully (R)		X			100.00	62	37	79	66	60	72	69	70	70	79	66	47	65	46	44	44	45	65	0	22	2	725,000$
6	Justin Shugg			X		100.00	67	32	77	60	70	75	70	69	70	63	69	60	65	54	47	33	45	65	0	25	1	600,000$
7	Theodor Blueger (R)	X				100.00	66	35	81	67	63	67	68	73	59	68	70	56	65	47	47	41	27	65	0	23	3	800,000$
8	Chris Wagner			X		100.00	63	26	76	70	58	72	73	71	63	64	65	55	64	53	55	26	45	64	0	26	1	725,000$
9	Alex Henriksson (R)		X			100.00	69	32	73	64	58	60	72	68	59	70	66	56	69	46	46	40	45	63	0	22	2	700,000$
10	Kyle Platzer (R)	X				100.00	45	38	70	69	46	68	55	75	62	69	63	62	81	44	44	38	21	63	0	22	3	500,000$
11	Mario Lucia (R)			X		100.00	61	37	68	62	69	66	62	68	63	56	80	50	60	48	48	34	45	63	0	24	1	700,000$
12	Noah Gregor (R)	X				100.00	56	33	76	69	56	57	58	59	62	58	68	59	62	41	42	70	35	60	0	19	1	500,000$
13	Eric Gustafsson				X	100.00	67	27	80	78	68	71	77	83	50	79	56	71	54	66	52	36	45	71	0	25	3	990,000$
14	Scott Harrington (R)				X	100.00	71	33	75	71	75	77	74	71	57	75	58	78	65	60	50	41	68	71	0	24	2	900,000$
15	Samuel Groulx				X	100.00	62	35	69	73	70	78	68	69	49	71	64	76	52	64	54	26	26	69	0	27	2	975,000$
16	Robin Norell (R)				X	100.00	69	33	80	65	62	70	64	62	38	69	47	79	56	46	46	40	32	66	0	22	1	500,000$
17	Logan Stanley (R)				X	100.00	80	43	66	72	78	81	50	55	38	64	52	67	50	42	42	72	41	66	0	19	1	500,000$
18	Jerome Gauthier-Leduc				X	100.00	61	43	79	68	62	68	64	67	37	64	52	73	54	50	51	30	45	65	0	25	1	500,000$
19	Aleksi Heponiemi (R)	X				100.00	51	31	69	60	55	59	64	61	74	73	63	43	48	40	40	79	23	59	0	18	2	500,000$
20	Thomas Gobeil (R)			X		100.00	64	39	62	57	60	59	69	66	63	61	56	49	64	47	46	36	19	58	0	23	2	650,000$
21	Drew O'Connor (R)		X			100.00	73	40	59	57	78	51	75	59	53	63	58	45	44	41	41	66	19	57	0	19	1	500,000$
22	Ben Jones (R)	X				100.00	63	27	71	48	67	57	57	53	61	61	66	42	60	40	40	68	19	56	0	18	2	500,000$
23	Jacob Peterson (R)	X				100.00	57	32	63	46	68	61	65	62	54	59	69	37	58	40	40	70	19	56	0	18	2	500,000$
24	Jaedon Descheneau (R)			X		100.00	43	42	65	56	52	62	62	57	66	64	66	37	47	44	46	32	20	56	0	22	2	500,000$
25	Scott Reedy (R)	X				100.00	50	29	69	59	61	61	57	61	53	53	64	35	57	40	40	72	20	55	0	18	2	500,000$
26	Alexei Toropchenko (R)			X		100.00	56	28	56	48	57	48	52	53	47	53	67	43	61	40	40	68	20	52	0	18	2	500,000$
27	Jordan Gross (R)				X	100.00	68	28	66	62	62	63	66	64	40	66	62	62	47	46	50	37	20	62	0	22	1	600,000$
28	Alex Lintuniemi (R)				X	100.00	53	32	68	64	56	57	54	72	25	67	51	59	43	43	43	52	23	58	0	21	2	700,000$
29	Dennis Cholowski (R)				X	100.00	58	35	76	47	54	67	68	56	26	65	60	50	53	41	41	73	19	57	0	19	1	500,000$

	MOYENNE D’ÉQUIPE					100.00	67	36	74	70	70	70	71	71	60	72	68	64	63	59	54	40	40	68

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	Philipp Grubauer	100.00	75	92	75	83	82	80	82	82	83	79	73	72	64	30	56	80	2	26	3	4,500,000$
2	Malcolm Subban	100.00	69	76	86	71	70	81	86	69	71	89	70	60	54	43	57	75	0	24	3	1,250,000$
Rayé
Équipe Mineure
1	Joni Ortio	99.00	65	79	71	73	75	74	74	79	73	68	64	56	52	34	58	72	0	26	1	600,000$
2	Joacim Eriksson	100.00	72	71	70	78	70	60	65	73	69	62	68	56	53	25	43	67	0	27	2	800,000$

	MOYENNE D’ÉQUIPE	99.75	70	80	76	76	74	74	77	76	74	75	69	61	56	33	54	74

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Patrick Roy	79	85	67	58	37	80	59	Can	51	2	900,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FT	S1	S2	S3
1	Drew Doughty	Sharks	D	84	20	72	92	18	32	0	118	176	275	112	93	7.27%	131	2379	28.33	9	17	26	55	276	0	2	2	6	347	4	2	0.00%	0	91	84	0	0	0.77	0	0	0	6	3	6
2	Brandon Dubinsky	Sharks	C	80	34	50	84	-1	28	0	146	179	262	65	157	12.98%	48	1850	23.13	8	15	23	43	274	2	3	5	9	300	2	2	47.73%	2638	38	24	0	0	0.91	3	10	0	4	8	2
3	Ronalds Kenins	Sharks	LW	80	34	35	69	23	56	0	107	95	233	74	112	14.59%	25	1450	18.14	5	8	13	26	220	3	1	4	8	121	3	1	47.56%	82	43	24	0	1	0.95	1	1	0	6	3	8
4	Joe Pavelski	Sharks	RW	81	21	37	58	-2	62	0	102	96	182	68	137	11.54%	46	1473	18.19	3	11	14	29	197	0	0	0	1	98	3	1	53.39%	236	30	28	1	0	0.79	1	7	0	2	3	4
5	Boone Jenner	Sharks	C	76	14	29	43	8	30	0	99	124	126	39	82	11.11%	23	1325	17.44	3	6	9	19	201	0	1	1	4	141	3	2	50.63%	946	31	22	0	0	0.65	0	0	0	3	1	0
6	Wayne Simmonds	Sharks	RW	80	23	18	41	17	36	0	85	82	153	45	79	15.03%	25	1191	14.90	2	4	6	7	160	0	0	0	2	35	3	1	50.00%	52	20	18	0	0	0.69	2	7	0	2	3	2
7	Tyler Cuma	Sharks	D	78	4	36	40	25	26	0	83	124	99	42	38	4.04%	74	1725	22.12	2	2	4	15	208	0	2	2	1	236	0	0	0.00%	0	36	55	0	0	0.46	0	0	0	0	1	0
8	Daniel Carcillo	Sharks	LW	84	19	20	39	-3	68	0	115	83	175	67	91	10.86%	35	1264	15.06	6	2	8	16	138	2	1	3	5	164	3	2	43.96%	91	30	15	0	0	0.62	0	0	0	3	2	1
9	Conor Sheary	Sharks	RW	82	19	20	39	-1	10	0	85	57	148	52	107	12.84%	31	1020	12.45	1	2	3	5	37	0	0	0	0	28	1	1	54.55%	44	23	8	0	0	0.76	1	4	0	2	2	4
10	Zach Parise	Sharks	LW	79	11	25	36	-2	44	0	88	93	151	56	104	7.28%	23	1040	13.17	1	2	3	6	32	0	0	0	1	31	5	0	56.14%	57	28	25	0	1	0.69	0	0	0	1	1	1
11	Mike Lundin	Sharks	D	68	7	27	34	15	102	0	102	117	119	45	35	5.88%	114	1849	27.20	4	6	10	21	258	0	1	1	5	208	2	0	0.00%	0	31	59	0	0	0.37	0	0	0	0	0	1
12	Oscar Sundqvist	Sharks	C	80	18	13	31	11	32	0	70	82	131	38	64	13.74%	15	936	11.70	0	0	0	0	10	1	0	1	1	8	1	1	49.89%	457	23	8	0	0	0.66	0	0	0	3	1	3
13	Brendan Gaunce	Sharks	C	77	13	15	28	15	10	0	34	33	105	27	51	12.38%	5	586	7.61	0	0	0	1	6	1	1	2	1	21	0	1	50.45%	222	16	9	0	0	0.96	0	0	0	2	2	1
14	Gustav Nyquist	Sharks	LW	75	12	11	23	14	22	0	33	32	68	17	30	17.65%	9	545	7.28	0	0	0	0	2	1	1	2	2	25	2	0	42.86%	14	11	5	0	0	0.84	1	1	0	2	1	1
15	Andreas Martinsen	Sharks	LW	78	8	13	21	6	32	0	105	50	79	27	54	10.13%	21	867	11.12	1	1	2	2	40	0	0	0	1	111	2	1	36.84%	19	14	14	0	0	0.48	0	0	0	0	1	2
16	Dion Phaneuf	Sharks	D	75	5	15	20	17	82	10	100	97	75	33	33	6.67%	74	1529	20.40	0	3	3	8	178	0	0	0	6	185	1	0	0.00%	0	32	52	0	0	0.26	0	0	2	0	0	0
17	Karl Alzner	Sharks	D	71	0	15	15	3	12	0	54	57	29	21	15	0.00%	55	983	13.85	0	0	0	0	32	0	1	1	0	86	0	0	0.00%	0	11	36	0	0	0.31	0	0	0	0	0	0
18	Markus Nutivaara	Sharks	D	80	2	12	14	-5	28	0	26	49	57	26	21	3.51%	50	945	11.82	0	0	0	0	4	0	0	0	0	15	0	0	0.00%	0	14	26	0	0	0.30	0	0	0	0	1	0
19	Marek Svatos	Sharks	RW	26	1	2	3	1	8	0	8	15	26	9	13	3.85%	4	193	7.44	0	0	0	0	2	0	0	0	1	16	0	0	35.71%	14	7	2	0	0	0.31	0	0	0	0	0	0
20	MacKenzie Weegar	Sharks	D	20	0	1	1	-1	0	0	3	16	7	2	6	0.00%	4	193	9.67	0	0	0	0	0	0	0	0	0	14	0	0	0.00%	0	4	6	0	0	0.10	0	0	0	0	0	0
21	Arturs Kulda	Sharks	D	8	0	0	0	0	0	0	1	5	1	0	0	0.00%	0	29	3.64	0	0	0	0	0	0	0	0	0	2	0	0	0.00%	0	0	2	0	0	0.00%	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1462	265	466	731	158	720	10	1564	1662	2501	865	1322	10.60%	812	23382	15.99	45	79	124	253	2284	10	14	24	54	2202	35	15	48.91%	4872	533	522	1	2	0.63	9	30	2	36	33	36

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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Philipp Grubauer	Sharks	63	33	22	6	0.892	3.39	3663	2	207	1913	929	9	1	0.731	26	63	17	3	0	7
2	Malcolm Subban	Sharks	23	7	10	2	0.906	3.05	1181	0	60	635	286	0	1	0.750	8	17	63	0	1	4
Statistiques d’équipe totales ou en moyenne			86	40	32	8	0.895	3.31	4844	2	267	2548	1215	9	2		34	80	80	3	1	11

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	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Link
Andreas Martinsen	Sharks	LW	27	1990-01-01	No	220 Lbs	6 ft3	No	No	No	1	Pro Only	1,200,000$	1,200,000$	0$	No
Arturs Kulda	Sharks	D	29	1988-01-01	No	215 Lbs	6 ft2	No	No	No	3	Pro Only	1,100,000$	1,100,000$	0$	No	1,100,000$	1,100,000$
Boone Jenner	Sharks	C	24	1993-01-01	No	215 Lbs	6 ft2	No	No	No	1	Pro Only	1,500,000$	1,500,000$	0$	No
Brandon Dubinsky	Sharks	C	31	1986-01-01	No	205 Lbs	6 ft1	No	No	No	1	Pro Only	3,750,000$	3,750,000$	0$	No
Brendan Gaunce	Sharks	C	23	1994-01-01	Yes	207 Lbs	6 ft3	No	No	No	1	Pro Only	1,100,000$	1,100,000$	0$	No				Lien
Conor Sheary	Sharks	RW	25	1992-01-01	No	176 Lbs	5 ft8	No	No	No	3	Pro Only	4,000,000$	4,000,000$	0$	No	4,500,000$	4,500,000$		Lien
Daniel Carcillo	Sharks	LW	32	1985-01-01	No	205 Lbs	6 ft0	No	No	No	2	Pro Only	1,750,000$	1,750,000$	0$	No	1,000,000$
Dion Phaneuf	Sharks	D	32	1985-01-01	No	214 Lbs	6 ft3	No	No	No	2	Pro Only	5,000,000$	5,000,000$	0$	No	4,500,000$
Drew Doughty	Sharks	D	28	1989-01-01	No	212 Lbs	6 ft0	No	No	No	1	Pro Only	8,000,000$	8,000,000$	0$	No
Gustav Nyquist	Sharks	LW	28	1989-01-01	No	185 Lbs	5 ft11	No	No	No	1	Pro Only	1,500,000$	1,500,000$	0$	No
Joe Pavelski	Sharks	RW	33	1984-01-01	No	190 Lbs	5 ft11	No	No	No	1	Pro Only	2,500,000$	2,500,000$	0$	No
Karl Alzner	Sharks	D	29	1988-01-01	No	210 Lbs	6 ft2	No	No	No	1	Pro Only	3,000,000$	3,000,000$	0$	No
MacKenzie Weegar	Sharks	D	23	1994-01-01	Yes	200 Lbs	6 ft0	No	No	No	4	Pro Only	1,500,000$	1,500,000$	0$	No	2,500,000$	3,000,000$	3,500,000$	Lien
Malcolm Subban	Sharks	G	24	1993-01-01	No	195 Lbs	6 ft1	No	No	No	3	Pro Only	1,250,000$	1,250,000$	0$	No	1,500,000$	1,750,000$		Lien
Marek Svatos	Sharks	RW	35	1982-01-01	No	185 Lbs	5 ft10	No	No	No	2	Pro Only	800,000$	800,000$	0$	No	800,000$
Markus Nutivaara	Sharks	D	23	1994-01-01	Yes	187 Lbs	6 ft1	No	No	No	4	Pro Only	1,000,000$	1,000,000$	0$	No	1,750,000$	2,500,000$	3,250,000$	Lien
Mike Lundin	Sharks	D	33	1984-01-01	No	197 Lbs	6 ft2	No	No	No	2	Pro Only	3,500,000$	3,500,000$	0$	No	3,500,000$
Oscar Sundqvist	Sharks	C	23	1994-01-01	No	172 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,100,000$	1,100,000$	0$	No				Lien
Philipp Grubauer	Sharks	G	26	1991-01-01	No	184 Lbs	6 ft1	No	No	No	3	Pro Only	4,500,000$	4,500,000$	0$	No	4,500,000$	4,500,000$
Ronalds Kenins	Sharks	LW	26	1991-01-01	No	201 Lbs	6 ft0	No	No	No	1	Pro Only	2,500,000$	2,500,000$	0$	No
Tyler Cuma	Sharks	D	27	1990-01-01	No	180 Lbs	6 ft2	No	No	No	1	Pro Only	2,750,000$	2,750,000$	0$	No
Wayne Simmonds	Sharks	RW	29	1988-01-01	No	175 Lbs	6 ft2	No	No	No	1	Pro Only	3,750,000$	3,750,000$	0$	No
Zach Parise	Sharks	LW	33	1984-01-01	No	190 Lbs	5 ft11	No	No	No	3	Pro Only	3,000,000$	3,000,000$	0$	No	3,000,000$	1,500,000$

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	27.96	197 Lbs	6 ft1	1.87	2,610,870$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
60,050,000$	28,650,000$	18,850,000$	6,750,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Daniel Carcillo	Brandon Dubinsky	Joe Pavelski	40	0	2	3
2	Ronalds Kenins	Oscar Sundqvist	Wayne Simmonds	30	0	2	3
3	Zach Parise	Brendan Gaunce	Conor Sheary	20	0	2	3
4	Andreas Martinsen	Brandon Dubinsky	Joe Pavelski	10	0	3	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Drew Doughty	Mike Lundin	40	0	2	3
2	Dion Phaneuf	Tyler Cuma	30	0	2	3
3	Karl Alzner	Markus Nutivaara	20	0	3	2
4	Drew Doughty	Mike Lundin	10	0	3	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Daniel Carcillo	Brandon Dubinsky	Joe Pavelski	60	0	2	3
2	Ronalds Kenins	Oscar Sundqvist	Wayne Simmonds	40	0	2	3

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Drew Doughty	Mike Lundin	60	0	2	3
2	Dion Phaneuf	Tyler Cuma	40	0	2	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Brandon Dubinsky	Daniel Carcillo	60	1	4	0
2	Oscar Sundqvist	Ronalds Kenins	40	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Drew Doughty	Mike Lundin	60	1	4	0
2	Dion Phaneuf	Tyler Cuma	40	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Brandon Dubinsky	60	1	4	0	Drew Doughty	Mike Lundin	60	1	4	0
2	Oscar Sundqvist	40	1	4	0	Dion Phaneuf	Tyler Cuma	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Brandon Dubinsky	Daniel Carcillo	60	0	2	3
2	Oscar Sundqvist	Ronalds Kenins	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Drew Doughty	Mike Lundin	60	0	3	2
2	Dion Phaneuf	Tyler Cuma	40	0	3	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Daniel Carcillo	Brandon Dubinsky	Joe Pavelski	Drew Doughty	Mike Lundin

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Daniel Carcillo	Brandon Dubinsky	Joe Pavelski	Drew Doughty	Mike Lundin

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Daniel Carcillo, Ronalds Kenins, Zach Parise	Daniel Carcillo, Ronalds Kenins	Daniel Carcillo

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Tyler Cuma, Karl Alzner, Markus Nutivaara	Tyler Cuma	Tyler Cuma, Karl Alzner

Tirs de pénalité
Joe Pavelski, Brandon Dubinsky, Wayne Simmonds, Conor Sheary, Daniel Carcillo

Gardien
#1 : Philipp Grubauer, #2 : Malcolm Subban

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	1	0	0	1	0	0	5	9	-4	1	0	1	0	0	0	0	0	1	4	-3	1	0	0	0	0	1	0	0	4	5	-1	1	0.250	5	10	15	0	0	1	1	3	0	61	27	21	13	0	64	19	27	23	5	0	0.00%	11	3	72.73%	1	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	40	21	43	19	37	18
2	Blackhawks	3	1	2	0	0	0	0	0	7	11	-4	1	0	1	0	0	0	0	0	3	4	-1	2	1	1	0	0	0	0	0	4	7	-3	2	0.333	7	12	19	0	0	2	1	4	0	83	24	29	30	0	77	30	14	66	17	3	17.65%	7	1	85.71%	0	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	66	35	58	27	54	28
3	Blue Jackets	3	2	0	0	0	0	1	0	12	7	5	2	2	0	0	0	0	0	0	9	5	4	1	0	0	0	0	0	1	0	3	2	1	6	1.000	12	20	32	0	0	4	2	5	1	102	35	34	32	4	86	27	34	58	9	2	22.22%	17	5	70.59%	2	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	66	38	65	29	53	25
4	Blues	3	1	1	0	1	0	0	0	13	13	0	2	1	0	0	1	0	0	0	9	7	2	1	0	1	0	0	0	0	0	4	6	-2	4	0.667	13	21	34	0	0	5	4	3	1	92	37	24	30	1	105	29	24	60	13	3	23.08%	12	3	75.00%	0	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	65	38	65	26	50	25
5	Bruins	3	0	1	0	0	0	0	2	7	14	-7	1	0	0	0	0	0	0	1	2	3	-1	2	0	1	0	0	0	0	1	5	11	-6	2	0.333	7	12	19	0	0	0	2	5	1	120	36	35	42	14	113	25	26	64	17	2	11.76%	13	5	61.54%	0	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	70	40	64	28	54	27
6	Canadiens	6	3	3	0	0	0	0	0	21	21	0	3	1	2	0	0	0	0	0	11	12	-1	3	2	1	0	0	0	0	0	10	9	1	6	0.500	21	31	52	0	0	7	6	8	0	186	74	56	56	0	180	48	64	113	28	4	14.29%	32	8	75.00%	1	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	128	70	125	58	106	52
7	Canucks	2	0	2	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	3	5	8	0	0	2	1	0	0	59	20	18	21	0	65	24	10	34	5	0	0.00%	5	0	100.00%	0	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	39	21	47	18	33	16
8	Capitals	2	1	0	0	0	0	1	0	6	3	3	1	0	0	0	0	0	1	0	3	2	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	6	8	14	0	0	1	2	2	1	58	9	22	26	4	69	19	16	46	4	0	0.00%	8	1	87.50%	0	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	42	23	46	18	36	17
9	Devils	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	4	8	12	0	0	1	2	1	0	67	17	27	23	0	62	18	12	33	3	0	0.00%	6	0	100.00%	0	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	41	23	43	18	34	16
10	Flames	3	1	2	0	0	0	0	0	10	11	-1	2	1	1	0	0	0	0	0	8	7	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	10	18	28	1	0	3	4	3	0	97	32	37	28	0	89	32	28	61	11	0	0.00%	13	3	76.92%	0	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	62	33	64	29	53	26
11	Flyers	3	1	1	0	0	0	1	0	11	11	0	1	0	0	0	0	0	1	0	4	3	1	2	1	1	0	0	0	0	0	7	8	-1	4	0.667	11	18	29	0	0	5	0	5	2	65	21	17	26	7	99	32	26	73	9	1	11.11%	13	1	92.31%	1	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	60	30	65	28	58	30
12	Golden Knights	2	0	2	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	4	8	12	0	0	1	3	0	0	51	19	20	12	0	69	28	28	34	4	0	0.00%	14	6	57.14%	0	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	37	20	48	18	34	15
13	Islanders	2	1	0	0	0	0	0	1	8	7	1	1	0	0	0	0	0	0	1	3	4	-1	1	1	0	0	0	0	0	0	5	3	2	3	0.750	8	15	23	0	0	2	3	3	0	65	21	22	22	3	62	18	12	38	8	2	25.00%	6	1	83.33%	0	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	45	25	42	18	37	19
14	Jets	6	1	4	0	0	0	0	1	21	24	-3	3	1	2	0	0	0	0	0	13	11	2	3	0	2	0	0	0	0	1	8	13	-5	3	0.250	21	34	55	0	0	9	6	6	0	183	62	61	59	4	208	55	70	109	31	7	22.58%	35	7	80.00%	0	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	123	68	137	57	103	51
15	Kings	3	0	2	0	0	0	1	0	9	11	-2	1	0	1	0	0	0	0	0	4	5	-1	2	0	1	0	0	0	1	0	5	6	-1	2	0.333	9	14	23	0	0	1	4	3	2	91	27	33	29	6	92	25	24	69	8	3	37.50%	12	2	83.33%	0	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	64	36	64	28	55	26
16	Lightning	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	6	4	2	4	1.000	9	17	26	0	0	3	1	5	0	69	20	23	26	0	75	20	28	43	4	1	25.00%	14	3	78.57%	0	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	42	25	43	16	33	16
17	Maple Leafs	4	3	1	0	0	0	0	0	16	14	2	1	1	0	0	0	0	0	0	7	4	3	3	2	1	0	0	0	0	0	9	10	-1	6	0.750	16	27	43	0	0	6	4	6	0	115	28	30	57	0	130	41	34	75	16	2	12.50%	17	3	82.35%	0	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	79	42	89	38	71	35
18	Oilers	6	1	4	0	0	1	0	0	20	24	-4	3	0	2	0	0	1	0	0	7	12	-5	3	1	2	0	0	0	0	0	13	12	1	3	0.250	20	32	52	1	0	4	9	7	0	182	54	71	57	0	192	57	44	108	20	3	15.00%	22	7	68.18%	0	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	129	73	125	54	105	53
19	Panthers	3	3	0	0	0	0	0	0	16	4	12	2	2	0	0	0	0	0	0	12	3	9	1	1	0	0	0	0	0	0	4	1	3	6	1.000	16	27	43	0	0	5	4	7	0	97	30	37	30	0	83	47	17	63	16	3	18.75%	6	1	83.33%	0	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	65	36	60	26	54	28
20	Penguins	2	1	0	0	0	0	1	0	8	4	4	1	0	0	0	0	0	1	0	3	2	1	1	1	0	0	0	0	0	0	5	2	3	4	1.000	8	13	21	0	0	3	3	1	2	56	16	26	14	2	64	24	10	32	9	2	22.22%	5	0	100.00%	0	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	43	24	45	19	36	18
21	Predators	4	3	1	0	0	0	0	0	12	6	6	2	2	0	0	0	0	0	0	9	3	6	2	1	1	0	0	0	0	0	3	3	0	6	0.750	12	21	33	0	0	3	4	5	0	124	46	36	42	0	127	33	30	74	10	3	30.00%	15	1	93.33%	1	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	79	46	91	36	68	32
22	Rangers	2	2	0	0	0	0	0	0	10	7	3	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	6	4	2	4	1.000	10	16	26	0	0	2	3	5	0	70	18	26	26	0	73	21	10	41	8	3	37.50%	5	2	60.00%	1	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	43	26	43	16	33	16
23	Red Wings	6	1	2	0	1	1	0	1	23	26	-3	3	0	1	0	1	0	0	1	12	14	-2	3	1	1	0	0	1	0	0	11	12	-1	6	0.500	23	39	62	0	0	8	7	7	1	190	58	75	54	5	172	66	64	136	28	3	10.71%	33	9	72.73%	0	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	128	69	127	58	112	56
24	Senateurs	3	3	0	0	0	0	0	0	14	6	8	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	6	1	5	6	1.000	14	25	39	0	0	4	2	8	0	99	41	28	30	0	99	25	28	55	13	4	30.77%	14	1	92.86%	1	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	58	32	68	29	52	25
25	Stars	3	2	1	0	0	0	0	0	16	12	4	2	1	1	0	0	0	0	0	11	9	2	1	1	0	0	0	0	0	0	5	3	2	4	0.667	16	30	46	0	0	5	6	5	0	106	24	49	33	0	95	39	24	56	11	2	18.18%	12	4	66.67%	2	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	67	40	63	25	49	25
	Total	80	33	32	0	2	3	5	5	285	274	11	40	16	15	0	2	1	3	3	153	136	17	40	17	17	0	0	2	2	2	132	138	-6	88	0.550	285	481	766	2	0	87	84	107	11	2488	796	857	818	50	2550	802	704	1564	307	53	17.26%	347	77	77.81%	10	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	1690	946	1744	749	1421	709
	_Since Last GM Reset	80	33	32	0	2	3	5	5	285	274	11	40	16	15	0	2	1	3	3	153	136	17	40	17	17	0	0	2	2	2	132	138	-6	88	0.550	285	481	766	2	0	87	84	107	11	2488	796	857	818	50	2550	802	704	1564	307	53	17.26%	347	77	77.81%	10	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	1690	946	1744	749	1421	709
	_Vs Conference	50	20	22	0	1	2	3	2	176	172	4	24	10	10	0	1	1	1	1	95	85	10	26	10	12	0	0	1	2	1	81	87	-6	52	0.520	176	291	467	2	0	56	49	67	6	1517	502	507	500	26	1551	471	460	997	200	35	17.50%	230	48	79.13%	6	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	1048	577	1084	476	896	445
	_Vs Division	24	6	13	0	1	2	0	2	85	95	-10	12	2	7	0	1	1	0	1	43	49	-6	12	4	6	0	0	1	0	1	42	46	-4	18	0.375	85	136	221	1	0	28	28	28	1	741	248	263	226	9	752	226	242	466	107	17	15.89%	122	31	74.59%	1	884	1815	48.71%	925	1897	48.76%	623	1231	50.61%	509	281	516	228	428	214

			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
80	88	L1	285	481	766	2488	2550	802	704	1564	2	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
80	33	32	2	3	5	5	285	274

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	16	15	2	1	3	3	153	136

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	17	17	0	2	2	2	132	138

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
5	4	0	0	1	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
307	53	17.26%	347	77	77.81%	10

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
796	857	818	50	87	84	107	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
884	1815	48.71%	925	1897	48.76%	623	1231	50.61%

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
1690	946	1744	749	1421	709

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 - 2022-10-28	7	Sharks	3	Oilers	5	AL			R1	Sommaire du match
3 - 2022-10-29	18	Sharks	3	Red Wings	2	AW			R1	Sommaire du match
5 - 2022-10-31	25	Jets	2	Sharks	6	BW				Sommaire du match
8 - 2022-11-03	40	Canadiens	4	Sharks	6	BW				Sommaire du match
13 - 2022-11-08	65	Red Wings	6	Sharks	5	BL	X	X	R1	Sommaire du match
17 - 2022-11-12	83	Oilers	5	Sharks	4	BL	X			Sommaire du match
21 - 2022-11-16	106	Stars	5	Sharks	4	BL				Sommaire du match
22 - 2022-11-17	111	Sharks	4	Maple Leafs	2	AW				Sommaire du match
25 - 2022-11-20	131	Canadiens	4	Sharks	2	BL				Sommaire du match
26 - 2022-11-21	134	Sharks	5	Jets	6	AL	X	X		Sommaire du match
27 - 2022-11-22	142	Sharks	1	Canadiens	3	AL				Sommaire du match
31 - 2022-11-26	164	Senateurs	2	Sharks	4	BW				Sommaire du match
32 - 2022-11-27	172	Sharks	3	Red Wings	4	AL			R1	Sommaire du match
35 - 2022-11-30	188	Red Wings	3	Sharks	1	BL				Sommaire du match
37 - 2022-12-02	193	Sharks	0	Maple Leafs	6	AL				Sommaire du match
40 - 2022-12-05	213	Oilers	2	Sharks	1	BL			R1	Sommaire du match
43 - 2022-12-08	226	Sharks	4	Avalanche	5	AL	X			Sommaire du match
46 - 2022-12-11	239	Islanders	4	Sharks	3	BL	X	X		Sommaire du match
48 - 2022-12-13	247	Sharks	2	Golden Knights	5	AL				Sommaire du match
51 - 2022-12-16	265	Maple Leafs	4	Sharks	7	BW				Sommaire du match
55 - 2022-12-20	287	Golden Knights	5	Sharks	2	BL				Sommaire du match
59 - 2022-12-24	306	Sharks	5	Islanders	3	AW				Sommaire du match
60 - 2022-12-25	314	Avalanche	4	Sharks	1	BL				Sommaire du match
63 - 2022-12-28	328	Sharks	1	Predators	2	AL				Sommaire du match
66 - 2022-12-31	341	Rangers	3	Sharks	4	BW				Sommaire du match
68 - 2023-01-02	352	Sharks	3	Jets	5	AL				Sommaire du match
70 - 2023-01-04	366	Blackhawks	4	Sharks	3	BL				Sommaire du match
73 - 2023-01-07	383	Sharks	5	Red Wings	6	AL	X		R1	Sommaire du match
75 - 2023-01-09	391	Bruins	3	Sharks	2	BL	X	X		Sommaire du match
77 - 2023-01-11	404	Sharks	6	Rangers	4	AW				Sommaire du match
79 - 2023-01-13	416	Sharks	4	Panthers	1	AW				Sommaire du match
81 - 2023-01-15	424	Red Wings	5	Sharks	6	BW	X		R1	Sommaire du match
84 - 2023-01-18	442	Sharks	3	Canadiens	2	AW				Sommaire du match
86 - 2023-01-20	449	Flames	2	Sharks	5	BW				Sommaire du match
88 - 2023-01-22	459	Sharks	3	Blue Jackets	2	AW	X	X		Sommaire du match
90 - 2023-01-24	464	Sharks	4	Blues	6	AL				Sommaire du match
92 - 2023-01-26	478	Penguins	2	Sharks	3	BW	X	X		Sommaire du match
94 - 2023-01-28	495	Sharks	0	Jets	2	AL				Sommaire du match
96 - 2023-01-30	504	Blue Jackets	3	Sharks	5	BW				Sommaire du match
100 - 2023-02-03	526	Canadiens	4	Sharks	3	BL				Sommaire du match
103 - 2023-02-06	541	Sharks	3	Capitals	1	AW				Sommaire du match
104 - 2023-02-07	550	Blue Jackets	2	Sharks	4	BW				Sommaire du match
108 - 2023-02-11	568	Sharks	1	Canucks	2	AL				Sommaire du match
110 - 2023-02-13	576	Kings	5	Sharks	4	BL				Sommaire du match
113 - 2023-02-16	590	Sharks	4	Oilers	5	AL			R1	Sommaire du match
115 - 2023-02-18	604	Flyers	3	Sharks	4	BW	X	X		Sommaire du match
117 - 2023-02-20	615	Sharks	6	Oilers	2	AW			R1	Sommaire du match
119 - 2023-02-22	624	Sharks	5	Penguins	2	AW				Sommaire du match
121 - 2023-02-24	633	Sharks	4	Bruins	5	AL	X	X		Sommaire du match
122 - 2023-02-25	641	Canucks	3	Sharks	2	BL				Sommaire du match
126 - 2023-03-01	660	Devils	4	Sharks	3	BL				Sommaire du match
129 - 2023-03-04	679	Sharks	2	Flames	4	AL				Sommaire du match
131 - 2023-03-06	687	Lightning	2	Sharks	3	BW				Sommaire du match
133 - 2023-03-08	700	Sharks	6	Senateurs	1	AW				Sommaire du match
135 - 2023-03-10	712	Stars	4	Sharks	7	BW				Sommaire du match
137 - 2023-03-12	726	Sharks	6	Canadiens	4	AW				Sommaire du match
139 - 2023-03-14	739	Blues	4	Sharks	5	BW	X			Sommaire du match
140 - 2023-03-15	745	Sharks	2	Predators	1	AW				Sommaire du match
143 - 2023-03-18	762	Sharks	1	Bruins	6	AL				Sommaire du match
145 - 2023-03-20	771	Capitals	2	Sharks	3	BW	X	X		Sommaire du match
147 - 2023-03-22	782	Sharks	6	Lightning	4	AW				Sommaire du match
150 - 2023-03-25	794	Flames	5	Sharks	3	BL				Sommaire du match
153 - 2023-03-28	814	Sharks	2	Kings	4	AL				Sommaire du match
155 - 2023-03-30	821	Jets	5	Sharks	4	BL				Sommaire du match
158 - 2023-04-02	835	Sharks	5	Stars	3	AW				Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
160 - 2023-04-04	847	Blues	3	Sharks	4	BW				Sommaire du match
162 - 2023-04-06	859	Sharks	5	Maple Leafs	2	AW				Sommaire du match
165 - 2023-04-09	873	Oilers	5	Sharks	2	BL			R1	Sommaire du match
169 - 2023-04-13	893	Predators	1	Sharks	4	BW				Sommaire du match
172 - 2023-04-16	908	Sharks	2	Blackhawks	1	AW				Sommaire du match
175 - 2023-04-19	922	Jets	4	Sharks	3	BL				Sommaire du match
178 - 2023-04-22	939	Predators	2	Sharks	5	BW				Sommaire du match
180 - 2023-04-24	945	Sharks	3	Kings	2	AW	X	X		Sommaire du match
182 - 2023-04-26	957	Sharks	2	Blackhawks	6	AL				Sommaire du match
184 - 2023-04-28	970	Senateurs	3	Sharks	4	BW				Sommaire du match
185 - 2023-04-29	975	Sharks	1	Devils	4	AL				Sommaire du match
190 - 2023-05-04	997	Sharks	3	Flyers	2	AW				Sommaire du match
192 - 2023-05-06	1006	Panthers	2	Sharks	8	BW				Sommaire du match
195 - 2023-05-09	1020	Panthers	1	Sharks	4	BW				Sommaire du match
196 - 2023-05-10	1025	Sharks	4	Flyers	6	AL				Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	100	60	35	25	200
Assistance	229,750	190,272	76,416	154,388	37,678
Attendance PCT	95.73%	95.14%	95.52%	96.49%	94.20%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
0	17213 - 95.63%	1,393,259$	55,730,357$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
59,291,437$	60,050,000$	48,200,000$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
301,759$	57,841,239$	0$	23	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	306,281$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	2,168,644$	2,168,644$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
57,841,239$	7,327,405$	65,168,644$	22,841,239$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Ronalds Kenins	AGE:26	PO:35	OV:75
Zach Parise	AGE:33	PO:18	OV:75
Daniel Carcillo	AGE:32	PO:16	OV:75
Andreas Martinsen	AGE:27	PO:30	OV:73
Gustav Nyquist	AGE:28	PO:27	OV:72
William Carrier (R)	AGE:23	PO:39	OV:69
Kurtis Macdermid (R)	AGE:23	PO:49	OV:66
Cole Ully (R)	AGE:22	PO:44	OV:65
Alex Henriksson (R)	AGE:22	PO:40	OV:63
Drew O'Connor (R)	AGE:19	PO:66	OV:57

Brandon Dubinsky	AGE:31	PO:20	OV:76
Boone Jenner	AGE:24	PO:46	OV:74
Oscar Sundqvist	AGE:23	PO:46	OV:73
Brendan Gaunce (R)	AGE:23	PO:49	OV:72
Emil Pettersson (R)	AGE:23	PO:37	OV:67
Theodor Blueger (R)	AGE:23	PO:41	OV:65
Kyle Platzer (R)	AGE:22	PO:38	OV:63
Noah Gregor (R)	AGE:19	PO:70	OV:60
Aleksi Heponiemi (R)	AGE:18	PO:79	OV:59
Jacob Peterson (R)	AGE:18	PO:70	OV:56
Ben Jones (R)	AGE:18	PO:68	OV:56
Scott Reedy (R)	AGE:18	PO:72	OV:55

Joe Pavelski	AGE:33	PO:18	OV:77
Conor Sheary	AGE:25	PO:45	OV:75
Wayne Simmonds	AGE:29	PO:26	OV:75
Marek Svatos	AGE:35	PO:12	OV:74
Brandon Kozun	AGE:27	PO:26	OV:70
Justin Shugg	AGE:25	PO:33	OV:65
Chris Wagner	AGE:26	PO:26	OV:64
Mario Lucia (R)	AGE:24	PO:34	OV:63
Thomas Gobeil (R)	AGE:23	PO:36	OV:58
Jaedon Descheneau (R)	AGE:22	PO:32	OV:56
Alexei Toropchenko (R)	AGE:18	PO:68	OV:52

Défense #1

Défense #2

Gardien

Drew Doughty	AGE:28	PO:34	OV:83
Mike Lundin	AGE:33	PO:14	OV:79
Tyler Cuma	AGE:27	PO:31	OV:78
Dion Phaneuf	AGE:32	PO:19	OV:78
Karl Alzner	AGE:29	PO:25	OV:76
Markus Nutivaara (R)	AGE:23	PO:54	OV:74
Arturs Kulda	AGE:29	PO:23	OV:73
MacKenzie Weegar (R)	AGE:23	PO:53	OV:71
Scott Harrington (R)	AGE:24	PO:41	OV:71

Eric Gustafsson	AGE:25	PO:36	OV:71
Samuel Groulx	AGE:27	PO:26	OV:69
Logan Stanley (R)	AGE:19	PO:72	OV:66
Robin Norell (R)	AGE:22	PO:40	OV:66
Jerome Gauthier-Leduc	AGE:25	PO:30	OV:65
Jordan Gross (R)	AGE:22	PO:37	OV:62
Alex Lintuniemi (R)	AGE:21	PO:52	OV:58
Dennis Cholowski (R)	AGE:19	PO:73	OV:57

Philipp Grubauer	AGE:26	PO:30	OV:80
Malcolm Subban	AGE:24	PO:43	OV:75
Joni Ortio	AGE:26	PO:34	OV:72
Joacim Eriksson	AGE:27	PO:25	OV:67

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	Information	Lien

Choix au repêchage

Année	R1	R2	R3	R4	R5
3
4
5
6
7

Sharks Historique de transactions

[2023-05-23 8:52:03 PM] - New Record for Team's Most Shots Blocked (21) in 1 Game for Sharks!
[2023-05-23 8:52:03 PM] - New Record for Team's Most Points (22) in 1 Game for Sharks!
[2023-05-23 8:52:03 PM] - New Record for Team's Most Assists (14) in 1 Game for Sharks!
[2023-05-23 8:52:03 PM] - New Record for Team's Most Goals (8) in 1 Game for Sharks!
[2023-03-24 7:07:15 PM] - New Record for Team's Most Points (20) in 1 Game for Sharks!
[2023-03-24 7:07:15 PM] - New Record for Team's Most Assists (13) in 1 Game for Sharks!
[2023-03-13 10:15:30 PM] - TRADE : From Canucks to Sharks : Andreas Martinsen (73).
[2023-03-13 10:15:30 PM] - TRADE : From Sharks to Canucks : Kevin Lankinen (63), Loui Eriksson (74).
[2023-03-06 7:28:40 PM] - TRADE : From Sharks to Kings : Oscar Dansk (64).
[2023-03-06 7:28:40 PM] - TRADE : From Kings to Sharks : Joni Ortio (72).
[2023-02-09 9:51:21 PM] - TRADE : From Sharks to Bruins : David Booth (75).
[2023-02-09 9:51:21 PM] - TRADE : From Bruins to Sharks : Zach Parise (75), Y:3-RND:4-Bos.
[2023-01-29 9:50:19 AM] - TRADE : From Sharks to Canucks : Andreas Martinsen (73), Gustav Lindstrom (61).
[2023-01-29 9:50:19 AM] - TRADE : From Canucks to Sharks : Daniel Carcillo (75), Kurtis Macdermid (66), Scott Harrington (71).
[2023-01-25 7:41:38 PM] - TRADE : From Sharks to Canucks : Ben Smith (78), Brandon Gormley (78), Y:5-RND:1-S.J.
[2023-01-25 7:41:38 PM] - TRADE : From Canucks to Sharks : Drew Doughty (83).
[2023-01-19 7:13:03 PM] - New Record for Team's Most Shots (47) in 1 Game for Sharks!
[2022-12-28 10:02:38 PM] - Marek Svatos was added to Sharks.
[2022-12-28 10:02:38 PM] - Sharks claimed Marek Svatos from waivers by Panthers for $0.
[2022-12-28 10:02:27 PM] - Sharks show interest in Marek Svatos from waiver.
[2022-12-18 7:11:01 PM] - TRADE : From Sharks to Canucks : Ben Lovejoy (76).
[2022-12-18 7:11:01 PM] - TRADE : From Canucks to Sharks : Joe Pavelski (77).
[2022-11-21 10:24:24 AM] - TRADE : From Sharks to Capitals : Y:4-RND:3-Was.
[2022-11-18 2:57:45 PM] - Zack Hamill was released.
[2022-11-18 2:57:45 PM] - Sharks paid $0 to release Zack Hamill.
[2022-11-16 8:17:00 PM] - TRADE : From Sharks to Capitals : Dmitrij Jaskin (71).
[2022-11-16 8:17:00 PM] - TRADE : From Capitals to Sharks : Conor Sheary (75).
[2022-10-26 8:14:20 PM] - Kyle Platzer signed with Sharks for $500,000 for 3 year(s).
[2022-10-26 8:14:20 PM] - Kyle Platzer was added to Sharks.
[2022-10-24 6:17:15 PM] - TRADE : From Canucks to Sharks : Y:3-RND:3-Flo, Y:4-RND:3-Was.

[2023-06-04 10:08:45 PM] Boone Jenner from Sharks is back from Broken Left Foot Toe Injury.
[2023-05-29 7:44:14 PM] Last 7 Days Pro Star : 1 - Artemi Panarin of Lightning (5-4-9) / 2 - Ronalds Kenins of Sharks (4-2-6) / 3 - Drew Doughty of Sharks (1-6-7)
[2023-05-27 9:32:44 PM] Successfully loaded Sharks lines done with Web Base Client and SQLite Database.
[2023-05-23 8:52:04 PM] Karl Alzner from Sharks is back from Bruised Right Shoulder Injury.
[2023-05-23 8:52:03 PM] New Record for Team's Most Shots Blocked (21) in 1 Game for Sharks!
[2023-05-23 8:52:03 PM] New Record for Team's Most Points (22) in 1 Game for Sharks!
[2023-05-23 8:52:03 PM] New Record for Team's Most Assists (14) in 1 Game for Sharks!
[2023-05-23 8:52:03 PM] New Record for Team's Most Goals (8) in 1 Game for Sharks!
[2023-05-23 8:52:03 PM] Game 1006 - Boone Jenner from Sharks is injured (Broken Left Foot Toe) and is out for 3 weeks.
[2023-05-23 8:52:03 PM] Game 1006 - Karl Alzner from Sharks is injured (Bruised Right Shoulder) and is out for 4 days.
[2023-05-22 11:49:55 AM] Successfully loaded Sharks lines done with Web Base Client and SQLite Database.
[2023-05-18 10:46:23 PM] Boone Jenner from Sharks is back from Bruised Left Arm Injury.
[2023-05-17 9:52:21 PM] Successfully loaded Sharks lines done with Web Base Client and SQLite Database.
[2023-05-16 9:10:43 PM] Joni Ortio from Barracuda is back from Exhaustion.
[2023-05-16 9:10:15 PM] Auto Lines Function has been run for Sharks.
[2023-05-15 8:09:50 PM] There's not enough Goalie players to make a roster for Barracuda.
[2023-05-15 8:09:32 PM] There's not enough Goalie players to make a roster for Barracuda.
[2023-05-15 8:07:47 PM] Joni Ortio from Barracuda injured (Exhaustion)
[2023-05-14 8:58:16 PM] Last 7 Days Farm Star : 1 - Miikka Salomaki of Devils (3-4-7) / 2 - William Carrier of Barracuda (3-5-8) / 3 - Alan Quine of Devils (3-3-6)
[2023-05-14 8:58:15 PM] Game 957 - Boone Jenner from Sharks is injured (Bruised Left Arm) and is out for 1 week.
[2023-05-11 7:20:12 PM] Samuel Groulx from Barracuda is back from Head Injury.
[2023-05-08 7:05:56 PM] Kyle Platzer from Barracuda is back from Left Forearm Injury.
[2023-05-03 7:31:36 PM] Auto Lines Function has been run for Barracuda.
[2023-05-02 7:19:32 PM] Successfully loaded Sharks lines done with Web Base Client and SQLite Database.
[2023-05-02 7:17:48 PM] Successfully loaded Sharks lines done with Web Base Client and SQLite Database.
[2023-05-01 7:19:06 PM] Auto Lines Function has been run for Barracuda.
[2023-04-29 9:55:36 PM] $2,000,000 was added to Sharks bank account.
[2023-04-29 11:32:09 AM] Game 854 - Kyle Platzer from Barracuda is injured (Left Forearm) and is out for 2 weeks.
[2023-04-29 11:30:51 AM] Auto Lines Function has been run for Barracuda.
[2023-04-29 11:30:50 AM] Auto Lines Function has been run for Sharks.
[2023-04-29 11:30:50 AM] Auto Roster Partial Function has been run for Sharks.
[2023-04-26 8:05:18 PM] Game 846 - Samuel Groulx from Barracuda is injured (Head) and is out for 3 weeks.
[2023-04-25 8:00:41 PM] Farm Game #842 - Emil Pettersson from Barracuda has scored a Hat Trick!

Pas de blessure ou de suspension.

Sharks Leaders statistiques (saison régulière)

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

Sharks Leaders des statistiques des gardiens (saison régulière)

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

Sharks Statistiques de l'Équipe de Carrière

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	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Sharks Leaders statistiques (séries éliminatoires)

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

Sharks Leaders des statistiques des gardiens (séries éliminatoires)

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

	Sharks
	GP: 80 \| W: 40 \| L: 32 \| OTL: 8 \| P: 88 GF: 285 \| GA: 274 \| PP%: 17.26% \| PK%: 77.81% DG: Roland Roberge \| Morale : 37 \| Moyenne d’équipe : 75