Canadian Hockey League

Cyclones
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Formation
Pointeurs
Contrats
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Stats Équipe
Calendrier
Charte
Carrière

Centre de jeu
	Predators 12-9-1, 25pts	2	FINAL	6	Stars 12-12-1, 25pts

Team Stats
W1	Streak	L1
5-5-0	Home Record	8-4-1
7-4-1	Away Record	4-8-0
4-5-1	Last 10 Games	6-4-0
4.23	Goals Per Game	3.16
4.14	Goals Against Per Game	3.40
20.00%	Power Play Percentage	16.19%
79.46%	Penalty Kill Percentage	80.00%

Predators
12-9-1, 25pts

FINAL

GoldenKnights
10-10-3, 23pts

Team Stats
W1	Streak	L1
5-5-0	Home Record	5-6-2
7-4-1	Away Record	5-4-1
4-5-1	Last 10 Games	4-5-1
4.23	Goals Per Game	2.96
4.14	Goals Against Per Game	3.04
20.00%	Power Play Percentage	11.40%
79.46%	Penalty Kill Percentage	81.20%

Canadiens
9-15-1, 19pts

Jour 52

Predators
12-9-1, 25pts

Stats Équipe
L1	Séquence	W1
3-7-0	Fiche domicile	5-5-0
6-8-1	Fiche visiteur	7-4-1
1-8-1	10 derniers matchs	4-5-1
3.20	Buts par match	4.23
4.36	Buts contre par match	4.14
22.22%	Pourcentage en avantage numérique	20.00%
74.60%	Pourcentage en désavantage numérique	79.46%

RedWings
18-6-0, 36pts

Jour 54

Predators
12-9-1, 25pts

Stats Équipe
W1	Séquence	W1
9-3-0	Fiche domicile	5-5-0
9-3-0	Fiche visiteur	7-4-1
8-2-0	10 derniers matchs	4-5-1
4.29	Buts par match	4.23
3.04	Buts contre par match	4.14
21.24%	Pourcentage en avantage numérique	20.00%
81.82%	Pourcentage en désavantage numérique	79.46%

Blues
13-10-3, 29pts

Jour 56

Predators
12-9-1, 25pts

Stats Équipe
W1	Séquence	W1
8-2-2	Fiche domicile	5-5-0
5-8-1	Fiche visiteur	7-4-1
5-3-2	10 derniers matchs	4-5-1
3.27	Buts par match	4.23
3.31	Buts contre par match	4.14
18.85%	Pourcentage en avantage numérique	20.00%
81.31%	Pourcentage en désavantage numérique	79.46%

Meneurs d'équipe
	Buts Tomas Hertl 13	Passes Neal Pionk 21

	Points Tom Wilson 29	Plus/Moins Tomas Hertl 8

	Victoires Adin Hill 10	Pourcentage d’arrêts Eric Comrie 0.898

Stats Équipe
Buts pour 93 4.23 GFG	Tirs pour 825 37.50 Avg	Pourcentage en avantage numérique 20.0% 22 GF	Début de zone offensive 42.8%
Buts contre 91 4.14 GAA	Tirs contre 651 29.59 Avg	Pourcentage en désavantage numérique 79.5% 23 GA	Début de la zone défensive 38.1%

Blessure/Suspension
	Tage Thompson est dehors pour 1 semaine à cause de Back Injury.

Information d’équipe
	Directeur général	Jean-Olivier Guillemette
	Entraîneur	Bruce Cassidy
	Division	Central
	Conférence	Western
	Capitaine	Ryan O'Reilly
	Assistant #1	Tomas Hertl
	Assistant #2	Tom Wilson
Uniformes

Informations de l’aréna
	Nom	Diet Pepsi Arena
	Capacité	25,000
	Assistance	22,529
	Billets de saison	10,000
Information formation
	Équipe Pro	21
	Équipe Mineure	27
	Limite contact	48 / 50
	Espoirs	6
Plafond salarial
	Cap Salarial de la Saison estimé	89,200,094$
	Plafond salarial disponible	799,906$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	18,415,620$
	Dépenses annuelles à ce jour	26,818,492$
	Revenus de la saison estimés	57,088,422$
	Dépenses de la saison estimées	68,381,626$
	Compte bancaire actuel	115,995,547$
	Compte bancaire projeté	101,486,760$
Historique d'équipe
	Saison actuelle	12-9-1 (25PTS)
	Historique	992-527-134 (0.600%)
	Apparitions séries éliminatoires	19
	Historique séries éliminatoires (W-L)	97-110
	Stanley Cup	0

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Tom Wilson (A)			X		100.00	99	69	65	85	82	86	98	78	40	72	83	87	40	84	85	40	30	78	0	31	1	5,500,000$
2	Tomas Hertl (A)	X				100.00	72	56	85	87	77	83	93	79	91	73	86	74	54	86	85	35	28	76	0	32	2	7,500,000$
3	Drake Batherson			X		100.00	83	51	83	88	67	85	99	79	40	82	76	66	73	76	81	60	28	75	0	27	3	6,000,000$
4	Ryan O'Reilly (C)	X				100.00	46	56	84	86	67	86	97	73	91	73	72	81	77	90	88	25	28	74	0	34	2	7,500,000$
5	Kiefer Sherwood		X			100.00	99	49	81	84	58	79	96	66	40	62	70	80	40	82	81	45	28	71	0	30	5	5,757,000$
6	Jordan Martinook		X			100.00	65	51	85	81	67	80	97	64	40	62	66	80	90	88	84	30	28	70	0	33	2	3,901,000$
7	Barrett Hayton	X				100.00	49	52	79	84	63	82	99	68	89	66	70	73	40	72	77	70	37	69	0	25	1	4,000,000$
8	Chris Kreider		X			100.00	67	59	83	78	82	82	89	63	40	50	77	77	65	90	86	25	28	69	0	34	5	5,750,000$
9	Ridly Greig			X		100.00	81	50	75	83	55	83	96	63	90	62	64	78	40	68	76	80	28	69	0	23	1	925,000$
10	Garnet Hathaway			X		100.00	99	59	73	77	71	74	89	58	40	53	62	84	40	90	82	25	28	68	0	34	3	2,500,000$
11	Drew O'Connor		X			100.00	63	55	82	76	74	79	99	57	77	55	60	82	40	76	78	60	47	67	0	27	1	2,000,000$
12	Neal Pionk				X	100.00	79	46	77	87	56	87	90	71	40	74	68	84	40	82	85	45	28	76	0	30	2	5,500,000$
13	Esa Lindell				X	100.00	55	56	87	77	76	87	98	60	40	62	58	92	40	84	86	40	28	74	0	31	2	4,000,000$
14	Jared Spurgeon				X	100.00	59	38	86	88	40	84	88	67	40	71	63	83	40	94	89	15	28	73	0	36	1	6,750,000$
15	Jamie Oleksiak				X	100.00	61	67	82	75	99	81	99	55	40	53	56	80	40	88	85	30	29	72	0	33	2	3,901,000$
16	Artem Zub				X	100.00	64	51	78	76	67	84	81	55	40	56	54	89	40	82	83	45	25	71	0	30	1	3,500,000$
17	Luke Schenn				X	100.00	99	70	78	75	78	76	95	49	40	46	52	76	40	94	85	15	28	71	0	36	1	2,901,000$
18	Damon Severson				X	100.00	54	54	77	79	67	82	91	61	40	62	61	80	71	84	83	40	28	71	0	31	5	5,757,000$
Rayé
1	Tage Thompson		X			84.24	62	62	81	87	83	86	95	84	78	70	97	68	73	78	82	55	17	77	0	28	2	1$
Équipe Mineure
1	Alexey Toropchenko			X		100.00	99	62	84	75	84	76	98	54	40	54	54	69	40	74	75	65	49	65	0	26	1	1,975,000$
2	Sean Kuraly	X				100.00	87	59	80	75	73	74	99	54	89	51	56	71	40	86	80	35	43	65	0	32	1	2,000,000$
3	Mackie Samoskevich		X			100.00	84	42	87	84	49	77	92	63	40	58	67	63	40	68	73	80	43	65	0	23	2	925,000$
4	Alex Steeves		X			100.00	48	44	73	85	59	68	58	68	40	56	70	70	53	74	71	65	43	64	0	26	1	907,500$
5	Cole Koepke		X			100.00	97	54	85	77	67	74	93	55	40	48	61	66	40	76	75	60	43	64	0	27	1	1,000,000$
6	Jack Drury	X				100.00	55	44	84	80	52	76	92	55	93	51	59	73	40	72	74	70	39	63	0	25	2	1,750,000$
7	Alex Limoges		X			100.00	74	70	87	79	64	62	52	59	40	62	56	57	40	78	70	55	21	60	0	28	2	1,000,000$
8	Chris Tierney	X				100.00	49	51	82	77	59	60	50	54	92	53	56	58	60	84	72	40	43	58	0	31	1	950,000$
9	Walker Duehr			X		100.00	88	53	90	75	70	69	60	50	40	43	57	55	40	78	74	55	43	58	0	28	2	1,000,000$
10	Shane Bowers			X		100.00	60	58	82	75	55	74	64	36	40	38	34	50	40	74	74	65	43	51	0	26	1	1,232,000$
11	Bryce Kindopp			X		100.00	70	78	84	75	59	60	50	32	40	26	38	62	40	74	67	65	28	50	0	26	1	847,000$
12	Brayden Pachal				X	100.00	89	61	67	75	66	74	95	52	40	50	55	74	40	74	74	65	43	68	0	26	1	1,200,000$
13	Marc Del Gaizo				X	100.00	76	49	81	79	53	77	75	54	40	52	55	79	40	74	76	65	43	67	0	26	2	975,000$
14	Jacob Moverare				X	100.00	55	54	86	75	72	69	77	52	40	52	53	67	40	76	73	60	43	64	0	27	1	1,017,500$
15	Alex Alexeyev				X	100.00	69	56	87	75	76	55	50	49	40	44	53	70	40	74	65	65	43	62	0	26	2	925,000$
16	Louie Belpedio				X	100.00	71	47	63	75	57	70	65	44	40	49	39	70	40	80	75	50	43	62	0	29	1	2,000,000$
17	Zack Hayes				X	100.00	86	50	68	75	81	55	50	33	40	31	35	67	40	74	65	65	39	60	0	26	1	907,500$
18	Mike Hardman		X			100.00	99	61	84	75	68	66	56	50	40	44	56	70	40	74	70	65	20	60	0	26	1	907,500$
19	Chase Wheatcroft		X			100.00	49	44	82	75	58	76	66	42	40	41	42	62	40	68	72	80	20	54	0	23	2	1,000,000$
20	Jon-Randall Avon		X			100.00	47	46	86	75	48	69	59	37	40	34	40	50	90	66	68	85	20	50	0	22	2	1,000,000$
21	Josh Davies (R)		X			100.00	59	57	60	87	54	60	50	25	40	20	30	52	40	64	62	90	20	46	0	21	1	575,000$
22	Anttoni Honka				X	100.00	44	41	84	77	47	55	50	47	40	53	41	51	40	72	64	70	20	54	0	25	1	825,000$

	MOYENNE D’ÉQUIPE					99.61	71	54	80	79	66	75	80	56	50	54	59	71	47	79	77	54	33	65

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	Adin Hill	100.00	91	91	99	96	81	84	82	85	79	81	90	80	82	50	18	83	0	29	3	5,000,000$
2	Eric Comrie	100.00	84	54	60	86	78	84	84	82	85	85	93	82	83	45	34	79	0	30	2	1,200,000$
Rayé
Équipe Mineure
1	Petr Mrazek	100.00	88	76	77	87	71	74	73	76	73	71	98	88	81	30	48	75	0	33	1	2,000,000$
2	Spencer Martin	100.00	79	58	60	89	62	60	61	60	62	61	99	82	71	45	48	65	0	30	2	1,000,000$
3	Devin Cooley	100.00	81	76	80	93	52	51	53	51	52	53	87	78	65	55	20	62	0	28	2	1,200,000$
4	Keith Kinkaid	100.00	75	50	60	88	50	50	50	50	50	50	40	94	72	15	20	59	0	36	1	1,250,000$
5	Erik Kallgren	100.00	77	50	60	91	50	50	50	50	50	50	40	80	65	50	20	58	0	29	1	2,000,000$

	MOYENNE D’ÉQUIPE	100.00	82	65	71	90	63	65	65	65	64	64	78	83	74	41	30	69

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bruce Cassidy	73	97	95	99	95	86	50	CAN	60	3	6,000,000$

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	PSS	FT	S1	S2	S3
1	Tom Wilson	Predators	RW	22	11	18	29	8	50	10	87	40	92	27	74	11.96%	8	432	19.65	4	7	11	30	87	0	1	1	3	41	3	1	32.14%	28	1	1.34	0	2	5	1	0
2	Neal Pionk	Predators	D	22	7	21	28	-4	46	0	88	26	62	17	26	11.29%	29	493	22.45	5	8	13	39	95	0	0	0	0	20	1	1	0.00%	0	0	1.13	0	0	2	1	2
3	Tage Thompson	Predators	LW	21	12	14	26	3	2	0	1	30	87	28	71	13.79%	2	422	20.14	3	5	8	29	89	0	0	0	2	25	2	0	53.85%	39	0	1.23	1	0	2	3	1
4	Ryan O'Reilly	Predators	C	22	12	13	25	-5	0	0	0	71	86	21	44	13.95%	8	511	23.27	2	3	5	25	80	0	0	0	2	90	1	1	58.38%	764	1	0.98	1	0	1	0	1
5	Tomas Hertl	Predators	C	22	13	12	25	8	6	0	12	54	88	30	70	14.77%	2	487	22.17	2	3	5	21	95	0	0	0	1	42	1	1	54.40%	728	0	1.03	0	0	1	3	2
6	Jared Spurgeon	Predators	D	22	5	15	20	-1	18	0	26	20	57	18	32	8.77%	23	435	19.80	2	1	3	35	83	0	0	0	0	19	0	1	0.00%	0	0	0.92	0	0	1	1	0
7	Drake Batherson	Predators	RW	22	4	16	20	1	6	0	30	22	59	17	38	6.78%	2	379	17.26	0	6	6	22	89	0	0	0	0	0	0	0	45.45%	22	0	1.05	0	0	0	0	1
8	Damon Severson	Predators	D	22	3	13	16	7	14	0	24	19	26	11	13	11.54%	10	385	17.51	1	4	5	19	95	0	0	0	0	26	1	0	0.00%	0	0	0.83	0	0	0	1	0
9	Kiefer Sherwood	Predators	LW	22	5	7	12	3	24	0	60	22	53	14	40	9.43%	4	396	18.04	0	2	2	18	75	0	0	0	0	31	1	0	36.36%	33	0	0.60	0	0	0	2	0
10	Jordan Martinook	Predators	LW	22	2	9	11	-1	4	0	3	30	47	9	30	4.26%	7	300	13.67	1	0	1	1	6	0	0	0	2	9	0	0	36.36%	22	0	0.73	1	0	0	0	0
11	Ridly Greig	Predators	RW	22	6	5	11	-1	6	0	28	46	37	12	28	16.22%	2	339	15.44	0	0	0	0	0	0	0	0	1	58	0	0	50.31%	318	0	0.65	0	0	0	2	1
12	Barrett Hayton	Predators	C	25	3	7	10	3	6	0	13	34	53	11	32	5.66%	2	364	14.59	1	1	2	12	43	0	0	0	0	7	2	0	53.33%	150	0	0.55	0	0	0	0	1
13	Esa Lindell	Predators	D	22	5	5	10	5	0	0	9	18	42	12	19	11.90%	32	490	22.29	2	0	2	28	63	0	0	0	0	86	0	0	0.00%	0	0	0.41	0	0	0	0	1
14	Jamie Oleksiak	Predators	D	22	1	4	5	-4	27	5	42	14	7	2	5	14.29%	30	367	16.69	0	1	1	1	20	1	0	1	1	82	1	0	0.00%	0	0	0.27	0	1	0	0	0
15	Artem Zub	Predators	D	17	2	2	4	1	18	0	38	11	16	2	9	12.50%	22	308	18.13	0	0	0	0	1	0	0	0	0	55	0	0	0.00%	0	0	0.26	0	0	0	0	0
16	Chris Kreider	Predators	LW	22	2	1	3	-3	0	0	1	4	16	3	10	12.50%	0	95	4.33	0	0	0	2	10	0	0	0	0	8	0	0	50.00%	10	0	0.63	0	0	0	0	0
17	Garnet Hathaway	Predators	RW	22	1	2	3	-1	10	0	18	5	11	2	5	9.09%	4	117	5.32	0	0	0	0	0	0	0	0	0	48	0	0	33.33%	9	0	0.51	0	0	0	0	0
18	Drew O'Connor	Predators	LW	1	0	1	1	1	0	0	0	1	3	0	2	0.00%	0	4	4.32	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	0	4.63	0	0	0	0	0
19	Luke Schenn	Predators	D	22	0	1	1	4	20	0	39	3	4	0	4	0.00%	17	164	7.47	0	0	0	0	0	0	0	0	1	69	0	0	0.00%	0	0	0.12	0	0	0	0	0
20	Jack Drury	Cyclones (Nas)	C	5	0	0	0	1	0	0	0	0	0	0	0	0.00%	0	1	0.28	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				399	94	166	260	25	257	15	519	470	846	236	552	11.11%	204	6499	16.29	23	41	64	282	936	1	1	2	13	723	13	5	54.14%	2124	2	0.80	3	3	12	14	10

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	EG	PS %	PSA	ST	BG
1	Adin Hill	Predators	19	10	8	1	0.856	4.23	1063	2	75	521	1	0.667	3	19	3
2	Eric Comrie	Predators	7	2	1	0	0.898	3.01	259	0	13	128	1	0.000	0	3	19
Statistiques d’équipe totales ou en moyenne			26	12	9	1	0.864	3.99	1323	2	88	649	2	0.667	3	22	22

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	Link
Adin Hill	Predators	G	29	1996-05-11	No	190 Lbs	6 ft4	No	No	Yes	3	Pro Only	5,000,000$	5,000,000$	3,567,416$	No	5,000,000$	5,000,000$	UFA			Lien / Lien NHL
Artem Zub	Predators	D	30	1995-10-03	No	200 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	3,500,000$	3,500,000$	2,497,191$	No	UFA					Lien / Lien NHL
Barrett Hayton	Predators	C	25	2000-06-09	No	200 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	4,000,000$	4,000,000$	2,853,933$	No	RFA					Lien / Lien NHL
Chris Kreider	Predators	LW	34	1991-04-30	No	230 Lbs	6 ft3	No	No	Yes	5	Pro Only	5,750,000$	5,750,000$	4,102,528$	No	5,750,000$	5,750,000$	5,750,000$	5,750,000$	UFA	Lien / Lien NHL
Damon Severson	Predators	D	31	1994-08-07	No	204 Lbs	6 ft2	Yes	No	Yes	5	Pro Only	5,757,000$	5,757,000$	4,107,522$	No	5,757,000$	5,757,000$	5,757,000$	5,757,000$	UFA	Lien / Lien NHL
Drake Batherson	Predators	RW	27	1998-04-27	No	200 Lbs	6 ft3	No	No	Yes	3	Pro Only	6,000,000$	6,000,000$	4,280,899$	No	6,000,000$	6,000,000$	UFA			Lien / Lien NHL
Drew O'Connor	Predators	LW	27	1998-06-09	No	209 Lbs	6 ft4	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	1,426,966$	No	UFA					Lien / Lien NHL
Eric Comrie	Predators	G	30	1995-07-06	No	180 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,200,000$	1,200,000$	856,180$	No	1,200,000$	UFA				Lien / Lien NHL
Esa Lindell	Predators	D	31	1994-05-23	No	217 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	4,000,000$	4,000,000$	2,853,933$	No	4,000,000$	UFA				Lien / Lien NHL
Garnet Hathaway	Predators	RW	34	1991-11-23	No	212 Lbs	6 ft2	No	No	Yes	3	Pro & Farm	2,500,000$	2,500,000$	1,783,708$	No	2,500,000$	2,500,000$	UFA			Lien / Lien NHL
Jamie Oleksiak	Predators	D	33	1992-12-21	No	252 Lbs	6 ft7	Yes	No	Yes	2	Pro & Farm	3,901,000$	3,901,000$	2,783,298$	No	3,901,000$	UFA				Lien / Lien NHL
Jared Spurgeon	Predators	D	36	1989-11-29	No	166 Lbs	5 ft9	No	No	Yes	1	Pro Only	6,750,000$	6,750,000$	4,816,011$	No	UFA					Lien / Lien NHL
Jordan Martinook	Predators	LW	33	1992-07-25	No	208 Lbs	6 ft1	Yes	No	Yes	2	Pro & Farm	3,901,000$	3,901,000$	2,783,298$	No	3,901,000$	UFA				Lien / Lien NHL
Kiefer Sherwood	Predators	LW	30	1995-03-31	No	194 Lbs	6 ft0	Yes	No	Yes	5	Pro Only	5,757,000$	5,757,000$	4,107,522$	No	5,757,000$	5,757,000$	5,757,000$	5,757,000$	UFA	Lien / Lien NHL
Luke Schenn	Predators	D	36	1989-11-02	No	225 Lbs	6 ft2	Yes	No	Yes	1	Pro & Farm	2,901,000$	2,901,000$	2,069,815$	No	UFA					Lien / Lien NHL
Neal Pionk	Predators	D	30	1995-07-29	No	190 Lbs	6 ft0	No	No	Yes	2	Pro Only	5,500,000$	5,500,000$	3,924,157$	No	5,500,000$	UFA				Lien / Lien NHL
Ridly Greig	Predators	RW	23	2002-08-08	No	188 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	925,000$	659,972$	No	RFA					Lien / Lien NHL
Ryan O'Reilly	Predators	C	34	1991-02-07	No	207 Lbs	6 ft1	No	No	Yes	2	Pro Only	7,500,000$	7,500,000$	5,351,124$	No	7,500,000$	UFA				Lien / Lien NHL
Tage Thompson (sur la masse salariale)	Predators	LW	28	1997-10-30	No	220 Lbs	6 ft6	Yes	No	Yes	2	Pro Only	1$	1$	1$	No	8,125,000$	UFA				Lien / Lien NHL
Tom Wilson	Predators	RW	31	1994-03-29	No	225 Lbs	6 ft4	No	No	Yes	1	Pro Only	5,500,000$	5,500,000$	3,924,157$	No	UFA					Lien / Lien NHL
Tomas Hertl	Predators	C	32	1993-11-12	No	220 Lbs	6 ft3	No	No	Yes	2	Pro Only	7,500,000$	7,500,000$	5,351,124$	No	7,500,000$	UFA				Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	30.67	207 Lbs	6 ft2	2.24	4,278,191$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
89,842,001$	72,391,000$	30,764,000$	17,264,000$	17,264,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Kiefer Sherwood	Tomas Hertl	Drake Batherson	35	1	2	2
2	Chris Kreider	Ryan O'Reilly	Tom Wilson	31	1	2	2
3	Jordan Martinook	Barrett Hayton	Ridly Greig	26	1	3	1
4	Drew O'Connor	Tomas Hertl	Garnet Hathaway	8	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Neal Pionk	Esa Lindell	37	1	3	1
2	Jared Spurgeon	Damon Severson	33	1	3	1
3	Artem Zub	Jamie Oleksiak	25	1	3	1
4	Luke Schenn	Neal Pionk	5	1	3	1

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Chris Kreider	Tomas Hertl	Tom Wilson	52	1	0	4
2	Kiefer Sherwood	Barrett Hayton	Drake Batherson	48	1	0	4

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Neal Pionk	Damon Severson	52	1	1	3
2	Jared Spurgeon	Esa Lindell	48	1	1	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Ryan O'Reilly	Kiefer Sherwood	52	1	4	0
2	Ridly Greig	Jordan Martinook	48	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Artem Zub	Esa Lindell	52	1	4	0
2	Luke Schenn	Jamie Oleksiak	48	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Ridly Greig	51	1	4	0	Artem Zub	Esa Lindell	51	1	4	0
2	Ryan O'Reilly	49	1	4	0	Luke Schenn	Jamie Oleksiak	49	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Tomas Hertl	Tom Wilson	52	1	2	2
2	Barrett Hayton	Drake Batherson	48	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Neal Pionk	Esa Lindell	52	1	2	2
2	Jared Spurgeon	Artem Zub	48	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Chris Kreider	Tomas Hertl	Drake Batherson	Neal Pionk	Jared Spurgeon

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jordan Martinook	Ryan O'Reilly	Tom Wilson	Artem Zub	Esa Lindell

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Ryan O'Reilly, Kiefer Sherwood, Jordan Martinook	Tom Wilson, Jordan Martinook	Tomas Hertl

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Neal Pionk, Luke Schenn, Artem Zub	Esa Lindell	Damon Severson, Luke Schenn

Tirs de pénalité
Jordan Martinook, Ryan O'Reilly, Drake Batherson, Tomas Hertl, Damon Severson

Gardien
#1 : Adin Hill, #2 : Eric Comrie

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	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	4	7	1	0	3	0	0	0	24	5	9	10	0	37	8	20	22	2	0	0.00%	9	1	88.89%	0	490	901	54.38%	432	801	53.93%	221	401	55.11%	23	15	22	7	13	6
2	Blackhawks	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	6	2	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	12	18	0	0	1	3	2	0	45	16	18	11	0	23	11	13	30	7	1	14.29%	4	0	100.00%	0	490	901	54.38%	432	801	53.93%	221	401	55.11%	26	19	20	8	12	6
3	BlueJackets	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	2	0	3	0	30	3	14	13	0	32	9	33	22	4	2	50.00%	8	1	87.50%	0	490	901	54.38%	432	801	53.93%	221	401	55.11%	19	13	28	6	11	5
4	Blues	1	0	0	0	0	0	0	1	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	5	6	-1	1	0.500	5	8	13	0	0	3	0	2	0	54	18	10	22	7	31	12	4	22	8	2	25.00%	2	1	50.00%	0	490	901	54.38%	432	801	53.93%	221	401	55.11%	27	20	24	7	12	6
5	Canucks	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	1	1	0	0	25	6	7	12	0	40	12	14	25	4	0	0.00%	6	2	66.67%	0	490	901	54.38%	432	801	53.93%	221	401	55.11%	22	14	25	7	12	5
6	Ducks	1	1	0	0	0	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	5	1	2	1.000	6	11	17	0	0	0	3	3	0	48	16	15	17	0	27	9	24	23	5	0	0.00%	4	2	50.00%	0	490	901	54.38%	432	801	53.93%	221	401	55.11%	25	17	21	7	12	6
7	GoldenKnights	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	4	7	0	0	1	2	0	0	49	22	14	13	0	17	10	10	24	4	1	25.00%	5	0	100.00%	0	490	901	54.38%	432	801	53.93%	221	401	55.11%	23	15	22	7	14	7
8	Hurricanes	1	0	1	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	4	7	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	8	12	0	0	1	0	3	0	33	9	8	16	0	31	10	15	19	9	1	11.11%	5	1	80.00%	0	490	901	54.38%	432	801	53.93%	221	401	55.11%	21	15	26	8	11	5
9	Jets	2	2	0	0	0	0	0	0	8	5	3	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	8	5	3	4	1.000	8	15	23	0	0	3	1	4	0	68	20	32	16	0	48	17	24	53	6	1	16.67%	11	2	81.82%	1	490	901	54.38%	432	801	53.93%	221	401	55.11%	45	29	49	16	25	12
10	Kings	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	7	12	19	0	0	2	3	2	0	63	24	16	23	0	78	18	16	50	8	1	12.50%	8	3	62.50%	0	490	901	54.38%	432	801	53.93%	221	401	55.11%	45	30	48	15	26	13
11	MapleLeafs	1	0	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	5	9	14	0	0	3	1	1	0	41	16	15	10	0	45	9	8	24	7	0	0.00%	3	0	100.00%	0	490	901	54.38%	432	801	53.93%	221	401	55.11%	27	20	21	6	11	5
12	Oilers	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	2	2	1	0	30	12	8	10	0	23	11	10	25	3	0	0.00%	5	1	80.00%	0	490	901	54.38%	432	801	53.93%	221	401	55.11%	21	13	24	8	13	7
13	Penguins	2	2	0	0	0	0	0	0	10	8	2	1	1	0	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	10	19	29	0	0	7	2	1	0	109	53	32	24	0	54	15	20	55	15	7	46.67%	9	2	77.78%	0	490	901	54.38%	432	801	53.93%	221	401	55.11%	50	35	45	14	24	11
14	Sabres	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	2	3	5	0	0	0	1	1	0	35	11	10	14	0	31	10	14	23	3	0	0.00%	6	0	100.00%	0	490	901	54.38%	432	801	53.93%	221	401	55.11%	21	15	28	7	10	4
15	Sharks	1	1	0	0	0	0	0	0	6	2	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	2	4	2	1.000	6	10	16	0	0	1	3	2	0	47	16	20	11	0	29	11	15	27	6	1	16.67%	5	0	100.00%	0	490	901	54.38%	432	801	53.93%	221	401	55.11%	22	14	24	8	13	6
16	Stars	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	2	3	5	0	0	0	1	1	0	26	7	11	8	0	34	13	16	21	6	1	16.67%	8	2	75.00%	0	490	901	54.38%	432	801	53.93%	221	401	55.11%	21	12	25	8	13	6
17	Wild	3	1	2	0	0	0	0	0	14	16	-2	1	0	1	0	0	0	0	0	5	7	-2	2	1	1	0	0	0	0	0	9	9	0	2	0.333	14	27	41	1	0	4	6	4	0	98	28	37	33	0	71	18	28	76	13	4	30.77%	14	5	64.29%	0	490	901	54.38%	432	801	53.93%	221	401	55.11%	67	45	74	21	38	19
	Total	22	12	9	0	0	0	0	1	93	91	2	10	5	5	0	0	0	0	0	47	44	3	12	7	4	0	0	0	0	1	46	47	-1	25	0.568	93	166	259	2	0	34	29	30	0	825	282	276	263	7	651	203	284	541	110	22	20.00%	112	23	79.46%	1	490	901	54.38%	432	801	53.93%	221	401	55.11%	513	350	533	166	277	137
	_Since Last GM Reset	22	12	9	0	0	0	0	1	93	91	2	10	5	5	0	0	0	0	0	47	44	3	12	7	4	0	0	0	0	1	46	47	-1	25	0.568	93	166	259	2	0	34	29	30	0	825	282	276	263	7	651	203	284	541	110	22	20.00%	112	23	79.46%	1	490	901	54.38%	432	801	53.93%	221	401	55.11%	513	350	533	166	277	137
	_Vs Conference	16	9	6	0	0	0	0	1	67	61	6	6	3	3	0	0	0	0	0	27	23	4	10	6	3	0	0	0	0	1	40	38	2	19	0.594	67	118	185	2	0	21	25	21	0	577	190	197	186	7	458	150	194	398	72	12	16.67%	81	19	76.54%	1	490	901	54.38%	432	801	53.93%	221	401	55.11%	372	250	384	123	208	104
	_Vs Division	9	4	4	0	0	0	0	1	38	40	-2	3	1	2	0	0	0	0	0	14	14	0	6	3	2	0	0	0	0	1	24	26	-2	9	0.500	38	69	107	2	0	14	11	13	0	315	94	117	100	7	244	79	105	224	42	9	21.43%	48	11	77.08%	1	490	901	54.38%	432	801	53.93%	221	401	55.11%	212	142	217	68	115	58

			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
22	25	W1	93	166	259	825	651	203	284	541	2	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	12	9	0	0	0	1	93	91

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	5	5	0	0	0	0	47	44

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	7	4	0	0	0	1	46	47

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
4	5	0	0	0	1

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
110	22	20.00%	112	23	79.46%	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
282	276	263	7	34	29	30	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
490	901	54.38%	432	801	53.93%	221	401	55.11%

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
513	350	533	166	277	137

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	Lien
1	9	Blackhawks	2	Predators	6	BW			Sommaire du match
3	25	Canucks	3	Predators	2	BL			Sommaire du match
5	35	Predators	2	Sabres	6	AL			Sommaire du match
8	63	BlueJackets	3	Predators	5	BW			Sommaire du match
9	74	Predators	4	Penguins	3	AW			Sommaire du match
13	96	Predators	5	Wild	3	AW			Sommaire du match
15	122	Predators	3	Jets	2	AW			Sommaire du match
17	134	Penguins	5	Predators	6	BW			Sommaire du match
19	146	MapleLeafs	6	Predators	5	BL			Sommaire du match
22	171	Predators	6	Sharks	2	AW			Sommaire du match
24	183	Predators	1	Kings	4	AL			Sommaire du match
26	193	Predators	6	Ducks	5	AW			Sommaire du match
29	219	Hurricanes	7	Predators	4	BL			Sommaire du match
33	250	Wild	7	Predators	5	BL			Sommaire du match
35	259	Predators	4	Wild	6	AL			Sommaire du match
37	281	Predators	5	Jets	3	AW			Sommaire du match
40	301	Predators	5	Blues	6	AL	X	X	Sommaire du match
41	307	Oilers	2	Predators	5	BW			Sommaire du match
43	322	Avalanche	5	Predators	3	BL			Sommaire du match
45	338	Kings	4	Predators	6	BW			Sommaire du match
47	349	Predators	2	Stars	6	AL			Sommaire du match
50	379	Predators	3	GoldenKnights	1	AW			Sommaire du match
52	391	Canadiens	-	Predators	-
54	404	RedWings	-	Predators	-
56	418	Blues	-	Predators	-
57	430	Predators	-	Blues	-
59	445	Stars	-	Predators	-
61	459	Mammoth	-	Predators	-
64	476	Stars	-	Predators	-
65	488	Predators	-	Panthers	-
70	507	Predators	-	GoldenKnights	-
72	513	Predators	-	Avalanche	-
74	529	Panthers	-	Predators	-
76	543	Jets	-	Predators	-
78	557	Capitals	-	Predators	-
80	568	Predators	-	Hurricanes	-
83	591	Predators	-	BlueJackets	-
84	604	Predators	-	Blackhawks	-
86	620	Predators	-	MapleLeafs	-
88	631	Predators	-	Canadiens	-
89	642	Predators	-	RedWings	-
92	659	Flyers	-	Predators	-
93	673	Predators	-	Capitals	-
95	684	Rangers	-	Predators	-
97	697	Stars	-	Predators	-
99	715	Predators	-	Bruins	-
101	737	Predators	-	Flyers	-
103	747	Predators	-	Blackhawks	-
104	759	Predators	-	Senators	-
106	773	Devils	-	Predators	-
108	790	Canucks	-	Predators	-
110	804	Senators	-	Predators	-
113	823	Predators	-	Flames	-
115	842	Predators	-	Canucks	-
118	859	Sabres	-	Predators	-
120	873	Blackhawks	-	Predators	-
122	886	Mammoth	-	Predators	-
124	901	Avalanche	-	Predators	-
126	913	Ducks	-	Predators	-
128	937	Predators	-	Blues	-
129	950	Blues	-	Predators	-
131	958	Lightning	-	Predators	-
133	975	Kings	-	Predators	-
135	987	Predators	-	Mammoth	-
137	1008	Predators	-	Sharks	-
138	1009	Predators	-	Ducks	-
140	1024	Predators	-	Stars	-
143	1047	Predators	-	Avalanche	-
147	1071	Bruins	-	Predators	-
149	1092	Predators	-	Lightning	-
151	1102	GoldenKnights	-	Predators	-
154	1120	Oilers	-	Predators	-
156	1137	Predators	-	Devils	-
158	1148	Sharks	-	Predators	-
161	1160	Predators	-	Oilers	-
162	1171	Predators	-	Flames	-
166	1196	Wild	-	Predators	-
168	1210	Islanders	-	Predators	-
169	1223	Jets	-	Predators	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171	1234	Flames	-	Predators	-
174	1251	Predators	-	Islanders	-
176	1263	Predators	-	Rangers	-

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Tage Thompson

AGE:28
SK:		87
EN:		86
DU:		95
PH:		84
PA:		70
SC:		97
DF:		68
Kiefer Sherwood

AGE:30
SK:		84
EN:		79
DU:		96
PH:		66
PA:		62
SC:		70
DF:		80
Jordan Martinook

AGE:33
SK:		81
EN:		80
DU:		97
PH:		64
PA:		62
SC:		66
DF:		80
Chris Kreider

AGE:34
SK:		78
EN:		82
DU:		89
PH:		63
PA:		50
SC:		77
DF:		77
Drew O'Connor

AGE:27
SK:		76
EN:		79
DU:		99
PH:		57
PA:		55
SC:		60
DF:		82
Mackie Samoskevich

AGE:23
SK:		84
EN:		77
DU:		92
PH:		63
PA:		58
SC:		67
DF:		63
Alex Steeves

AGE:26
SK:		85
EN:		68
DU:		58
PH:		68
PA:		56
SC:		70
DF:		70
Cole Koepke

AGE:27
SK:		77
EN:		74
DU:		93
PH:		55
PA:		48
SC:		61
DF:		66
Mike Hardman

AGE:26
SK:		75
EN:		66
DU:		56
PH:		50
PA:		44
SC:		56
DF:		70
Alex Limoges

AGE:28
SK:		79
EN:		62
DU:		52
PH:		59
PA:		62
SC:		56
DF:		57
Chase Wheatcroft

AGE:23
SK:		75
EN:		76
DU:		66
PH:		42
PA:		41
SC:		42
DF:		62
Jon-Randall Avon

AGE:22
SK:		75
EN:		69
DU:		59
PH:		37
PA:		34
SC:		40
DF:		50
Josh Davies (R)

AGE:21
SK:		87
EN:		60
DU:		50
PH:		25
PA:		20
SC:		30
DF:		52

Tomas Hertl

AGE:32
SK:		87
EN:		83
DU:		93
PH:		79
PA:		73
SC:		86
DF:		74
Ryan O'Reilly

AGE:34
SK:		86
EN:		86
DU:		97
PH:		73
PA:		73
SC:		72
DF:		81
Barrett Hayton

AGE:25
SK:		84
EN:		82
DU:		99
PH:		68
PA:		66
SC:		70
DF:		73
Sean Kuraly

AGE:32
SK:		75
EN:		74
DU:		99
PH:		54
PA:		51
SC:		56
DF:		71
Jack Drury

AGE:25
SK:		80
EN:		76
DU:		92
PH:		55
PA:		51
SC:		59
DF:		73
Chris Tierney

AGE:31
SK:		77
EN:		60
DU:		50
PH:		54
PA:		53
SC:		56
DF:		58

Tom Wilson

AGE:31
SK:		85
EN:		86
DU:		98
PH:		78
PA:		72
SC:		83
DF:		87
Drake Batherson

AGE:27
SK:		88
EN:		85
DU:		99
PH:		79
PA:		82
SC:		76
DF:		66
Ridly Greig

AGE:23
SK:		83
EN:		83
DU:		96
PH:		63
PA:		62
SC:		64
DF:		78
Garnet Hathaway

AGE:34
SK:		77
EN:		74
DU:		89
PH:		58
PA:		53
SC:		62
DF:		84
Alexey Toropchenko

AGE:26
SK:		75
EN:		76
DU:		98
PH:		54
PA:		54
SC:		54
DF:		69
Walker Duehr

AGE:28
SK:		75
EN:		69
DU:		60
PH:		50
PA:		43
SC:		57
DF:		55
Shane Bowers

AGE:26
SK:		75
EN:		74
DU:		64
PH:		36
PA:		38
SC:		34
DF:		50
Bryce Kindopp

AGE:26
SK:		75
EN:		60
DU:		50
PH:		32
PA:		26
SC:		38
DF:		62

Défense #1

Défense #2

Gardien

Neal Pionk

AGE:30
SK:		87
EN:		87
DU:		90
PH:		71
PA:		74
SC:		68
DF:		84
Esa Lindell

AGE:31
SK:		77
EN:		87
DU:		98
PH:		60
PA:		62
SC:		58
DF:		92
Jared Spurgeon

AGE:36
SK:		88
EN:		84
DU:		88
PH:		67
PA:		71
SC:		63
DF:		83
Jamie Oleksiak

AGE:33
SK:		75
EN:		81
DU:		99
PH:		55
PA:		53
SC:		56
DF:		80
Artem Zub

AGE:30
SK:		76
EN:		84
DU:		81
PH:		55
PA:		56
SC:		54
DF:		89
Damon Severson

AGE:31
SK:		79
EN:		82
DU:		91
PH:		61
PA:		62
SC:		61
DF:		80
Luke Schenn

AGE:36
SK:		75
EN:		76
DU:		95
PH:		49
PA:		46
SC:		52
DF:		76

Brayden Pachal

AGE:26
SK:		75
EN:		74
DU:		95
PH:		52
PA:		50
SC:		55
DF:		74
Marc Del Gaizo

AGE:26
SK:		79
EN:		77
DU:		75
PH:		54
PA:		52
SC:		55
DF:		79
Jacob Moverare

AGE:27
SK:		75
EN:		69
DU:		77
PH:		52
PA:		52
SC:		53
DF:		67
Alex Alexeyev

AGE:26
SK:		75
EN:		55
DU:		50
PH:		49
PA:		44
SC:		53
DF:		70
Louie Belpedio

AGE:29
SK:		75
EN:		70
DU:		65
PH:		44
PA:		49
SC:		39
DF:		70
Zack Hayes

AGE:26
SK:		75
EN:		55
DU:		50
PH:		33
PA:		31
SC:		35
DF:		67
Anttoni Honka

AGE:25
SK:		77
EN:		55
DU:		50
PH:		47
PA:		53
SC:		41
DF:		51

Adin Hill

AGE:29
SK:		91
AG:		81
RB:		84
SC:		82
HS:		85
RT:		79
DF:		81
Eric Comrie

AGE:30
SK:		84
AG:		78
RB:		84
SC:		84
HS:		82
RT:		85
DF:		85
Petr Mrazek

AGE:33
SK:		88
AG:		71
RB:		74
SC:		73
HS:		76
RT:		73
DF:		71
Spencer Martin

AGE:30
SK:		79
AG:		62
RB:		60
SC:		61
HS:		60
RT:		62
DF:		61
Devin Cooley

AGE:28
SK:		81
AG:		52
RB:		51
SC:		53
HS:		51
RT:		52
DF:		53
Keith Kinkaid

AGE:36
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Erik Kallgren

AGE:29
SK:		77
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
Arvid Costmar	Predators	2034	123
Bryce Brodzinski	Predators	2034	84
Dru Krebs	Predators	2035	215
Isak Walther	Predators	2035	179
Miroslav Satan	Predators	2038	139
Sean Barnhill	Predators	2039	89

Choix au repêchage

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

Predators 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	David Krejci	897	275	584	859	86	85	307	2302	2578	10.67%	120	16860	18.80	84	247	331	658	1	4	5	12	41	12	54.06%	5	1.02	8	42
2	Martin St-Louis	736	355	474	829	98	187	549	1615	2931	12.11%	200	16016	21.76	106	157	263	642	2	2	4	24	53	21	46.41%	6	1.04	14	81
3	Alexander Edler	1021	167	546	713	267	1498	2547	1063	1829	9.13%	1274	23270	22.79	103	168	271	1087	0	13	13	21	15	7	0.00%	0	0.61	1	1
4	Andy McDonald	1527	264	424	688	33	1188	2008	1900	2822	9.36%	919	25972	17.01	46	72	118	296	7	12	19	86	42	19	52.71%	6	0.53	10	29
5	Alex Goligoski	889	152	522	674	104	701	1053	1020	1438	10.57%	845	18853	21.21	100	186	286	965	0	4	4	6	33	12	0.00%	1	0.71	1	3

Predators 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	Ben Bishop	458	256	145	44	0.902	2.84	26527	36	25	1254	12834	0	16	5	0.650	180
2	Kari Lehtonen	331	195	101	32	0.905	2.62	19778	31	16	864	9134	1035	18	6	0.735	147
3	Adin Hill	174	92	51	12	0.894	3.07	9610	10	6	491	4621	0	1	2	0.740	50
4	Jonathan Quick	120	73	36	8	0.906	2.64	6968	29	13	307	3283	0	6	3	0.625	32
5	Antti Raanta	95	58	25	4	0.894	3.18	5108	16	2	271	2545	0	6	1	0.875	8

Predators 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	36	34	0	1	0	6	5	257	247	10	41	17	17	0	1	0	4	2	111	112	-1	41	19	17	0	0	0	2	3	146	135	11	74	257	416	673	0	4	0	80	88	82	2663	0	873	948	833	2471	803	1154	1894	310	45	14.52%	276	46	83.33%	9	1116	2048	54.49%	1067	2002	53.30%	720	1405	51.25%	1831	1059	1830	821	1481	750
2018	82	36	31	0	1	1	7	6	224	215	9	41	17	14	0	0	1	4	5	119	117	2	41	19	17	0	1	0	3	1	105	98	7	75	224	353	577	0	4	0	65	83	68	2458	0	744	863	837	2452	830	900	1912	234	34	14.53%	210	29	86.19%	3	977	1893	51.61%	1027	1992	51.56%	668	1291	51.74%	1798	1026	1660	741	1528	779
2019	82	39	30	0	2	5	5	1	253	210	43	41	14	20	0	0	1	5	1	121	120	1	41	25	10	0	2	4	0	0	132	90	42	87	253	399	652	3	2	0	59	85	102	2613	0	780	939	874	2488	826	990	1911	223	37	16.59%	232	40	82.76%	7	1067	2058	51.85%	1028	2009	51.17%	647	1211	53.43%	1842	1085	1659	727	1464	739
2020	82	35	33	0	2	1	4	7	247	247	0	41	20	12	0	2	1	2	4	136	116	20	41	15	21	0	0	0	2	3	111	131	-20	75	247	401	648	6	1	0	69	79	93	2652	0	844	859	932	2554	863	1013	1931	255	42	16.47%	231	46	80.09%	1	1033	2112	48.91%	1083	2126	50.94%	638	1239	51.49%	1849	1103	1699	732	1426	718
2021	82	43	26	0	2	3	4	4	239	210	29	41	20	14	0	1	1	3	2	109	105	4	41	23	12	0	1	2	1	2	130	105	25	93	239	428	667	0	4	0	91	64	78	2405	0	756	821	810	2219	647	929	1750	462	69	14.94%	367	71	80.65%	3	1602	3034	52.80%	1432	2870	49.90%	630	1252	50.32%	2133	1512	1823	606	1020	521
2022	82	43	17	0	1	7	6	8	288	215	73	41	27	6	0	0	4	2	2	159	103	56	41	16	11	0	1	3	4	6	129	112	17	95	288	490	778	0	8	0	116	82	83	2679	0	897	859	894	2241	650	992	1704	453	88	19.43%	393	63	83.97%	3	1663	3127	53.18%	1463	2795	52.34%	663	1300	51.00%	2128	1490	1837	608	1035	530
2023	82	47	28	0	1	0	4	2	318	239	79	41	25	15	0	0	0	1	0	160	109	51	41	22	13	0	1	0	3	2	158	130	28	96	318	556	874	0	3	0	122	100	91	2871	0	925	958	975	2181	592	953	1772	492	106	21.54%	373	74	80.16%	8	1700	3274	51.92%	1357	2673	50.77%	712	1380	51.59%	2133	1513	1800	586	1015	524
2024	82	43	25	0	3	4	3	4	306	240	66	41	22	12	0	1	1	1	4	140	112	28	41	21	13	0	2	3	2	0	166	128	38	106	306	539	845	3	7	0	101	110	89	2791	0	874	944	950	2272	693	897	1673	451	87	19.29%	365	73	80.00%	2	1645	3172	51.86%	1435	2786	51.51%	698	1332	52.40%	2119	1492	1827	605	1023	526
2025	82	46	21	0	4	4	4	3	300	206	94	41	24	9	0	2	3	2	1	148	100	48	41	22	12	0	2	1	2	2	152	106	46	115	300	546	846	3	12	0	119	100	73	2557	0	870	828	840	2233	671	878	1697	451	90	19.96%	380	66	82.63%	6	1514	2983	50.75%	1437	2759	52.08%	692	1279	54.10%	2108	1464	1817	612	1047	538
2026	82	50	16	0	3	2	7	4	339	228	111	41	27	7	0	1	1	3	2	176	111	65	41	23	9	0	2	1	4	2	163	117	46	126	339	607	946	0	1	0	132	101	96	2714	0	929	853	900	2340	745	1137	1864	494	118	23.89%	454	72	84.14%	4	1567	3108	50.42%	1489	2979	49.98%	658	1335	49.29%	2048	1416	1900	624	1037	523
2027	82	38	25	0	2	6	6	5	284	245	39	41	18	12	0	2	2	5	2	144	120	24	41	20	13	0	0	4	1	3	140	125	15	103	284	496	780	1	5	0	99	91	86	2582	0	816	913	831	2254	682	1080	1870	425	87	20.47%	433	76	82.45%	2	1655	3089	53.58%	1430	2756	51.89%	748	1371	54.56%	2086	1445	1853	604	1049	535
2030	82	46	24	0	2	2	1	7	272	204	68	41	24	12	0	1	1	0	3	135	95	40	41	22	12	0	1	1	1	4	137	109	28	107	272	493	765	0	4	0	95	89	85	2533	0	798	826	883	2349	658	1042	1791	452	92	20.35%	439	78	82.23%	3	1589	2960	53.68%	1485	2928	50.72%	638	1213	52.60%	2086	1440	1849	612	1035	536
2031	82	48	25	0	1	1	1	6	300	217	83	41	28	9	0	1	0	0	3	165	101	64	41	20	16	0	0	1	1	3	135	116	19	107	300	545	845	3	9	0	121	83	94	2638	0	923	831	867	2483	733	1074	1895	423	94	22.22%	447	75	83.22%	3	1571	3056	51.41%	1543	3065	50.34%	707	1359	52.02%	1996	1365	1907	615	1051	527
2032	82	31	35	0	3	3	4	6	283	273	10	41	16	15	0	1	1	3	5	142	135	7	41	15	20	0	2	2	1	1	141	138	3	85	283	507	790	1	4	0	104	108	64	2791	0	955	901	903	2589	704	1010	1874	390	79	20.26%	417	72	82.73%	2	1582	3107	50.92%	1483	2974	49.87%	672	1320	50.91%	1995	1372	1943	612	1041	518
2033	82	43	29	0	1	2	4	3	289	270	19	41	26	12	0	0	0	1	2	156	131	25	41	17	17	0	1	2	3	1	133	139	-6	101	289	506	795	2	1	0	98	78	108	2898	0	962	909	1015	2537	765	1061	2074	414	88	21.26%	447	89	80.09%	4	1694	3298	51.36%	1524	3020	50.46%	682	1386	49.21%	2021	1404	1915	605	1024	512
2034	82	45	25	0	4	1	2	5	312	249	63	41	23	13	0	0	1	2	2	157	128	29	41	22	12	0	4	0	0	3	155	121	34	108	312	560	872	2	4	0	128	89	89	2955	0	1012	965	947	2331	687	983	1809	422	79	18.72%	431	74	82.83%	8	1850	3256	56.82%	1485	2823	52.60%	695	1321	52.61%	2091	1452	1830	606	1042	536
2035	82	44	26	0	0	1	4	7	310	230	80	41	23	13	0	0	0	3	2	154	114	40	41	21	13	0	0	1	1	5	156	116	40	104	310	553	863	0	8	0	115	101	90	2877	0	961	944	949	2374	708	1012	1896	414	88	21.26%	445	75	83.15%	10	1814	3291	55.12%	1594	2927	54.46%	734	1338	54.86%	2054	1430	1888	615	1035	523
2036	82	57	18	0	2	3	1	1	392	251	141	41	31	6	0	1	2	1	0	210	116	94	41	26	12	0	1	1	0	1	182	135	47	124	392	707	1099	1	0	0	165	124	100	3136	0	1004	1049	1065	2523	762	1152	1919	392	105	26.79%	491	80	83.71%	5	1794	3233	55.49%	1562	2961	52.75%	769	1422	54.08%	1986	1363	1923	607	1035	523
2037	82	46	26	0	4	2	1	3	328	265	63	41	23	15	0	1	2	0	0	162	139	23	41	23	11	0	3	0	1	3	166	126	40	107	328	582	910	0	4	121	111	91	6	2819	953	876	959	43	2436	724	1080	1866	414	92	22.22%	467	81	82.66%	5	1748	3115	56.12%	1616	2982	54.19%	701	1356	51.70%	2017	1392	1904	616	1026	516
2038	82	44	24	0	4	4	3	3	309	242	67	41	22	11	0	1	2	2	3	149	126	23	41	22	13	0	3	2	1	0	160	116	44	109	309	538	847	0	3	108	94	100	12	2951	964	977	982	51	2370	718	998	1763	382	82	21.47%	429	76	82.28%	5	1783	3229	55.22%	1504	2824	53.26%	717	1354	52.95%	2013	1380	1891	613	1051	533
2039	22	12	9	0	0	0	0	1	93	91	2	10	5	5	0	0	0	0	0	47	44	3	12	7	4	0	0	0	0	1	46	47	-1	25	93	166	259	2	0	34	29	30	0	825	282	276	263	7	651	203	284	541	110	22	20.00%	112	23	79.46%	1	490	901	54.38%	432	801	53.93%	221	401	55.11%	513	350	533	166	277	137
Total Saison régulière	1662	872	527	0	43	52	77	91	5943	4794	1149	830	452	249	0	16	24	44	45	3000	2354	646	832	420	278	0	27	28	33	46	2943	2440	503	2022	5943	10388	16331	27	88	263	2113	1876	1589	55408	2199	18052	18414	16406	48348	14664	20619	37406	8063	1624	20.14%	7839	1379	82.41%	94	31454	59344	53.00%	28476	55052	51.73%	14010	26865	52.15%	40858	27563	37298	12941	22755	11553
Séries éliminatoires
2017	13	7	6	0	0	0	0	0	40	35	5	6	5	1	0	0	0	0	0	27	15	12	7	2	5	0	0	0	0	0	13	20	-7	14	40	63	103	0	0	0	11	11	17	385	0	111	125	146	475	153	161	278	38	2	5.26%	21	4	80.95%	1	149	295	50.51%	177	353	50.14%	102	206	49.51%	285	162	2097	939	244	127
2018	22	13	9	0	0	0	0	0	69	58	11	11	7	4	0	0	0	0	0	35	30	5	11	6	5	0	0	0	0	0	34	28	6	26	69	119	188	0	0	0	20	27	19	708	0	247	247	199	678	217	288	482	65	17	26.15%	64	15	76.56%	3	268	545	49.17%	286	551	51.91%	199	366	54.37%	483	287	450	196	392	195
2019	6	2	4	0	0	0	0	0	13	17	-4	3	1	2	0	0	0	0	0	7	9	-2	3	1	2	0	0	0	0	0	6	8	-2	4	13	22	35	0	0	0	4	6	2	181	0	51	69	49	194	50	67	151	7	1	14.29%	21	1	95.24%	0	80	156	51.28%	92	156	58.97%	54	84	64.29%	137	81	127	55	108	52
2021	12	6	6	0	0	0	0	0	34	44	-10	6	4	2	0	0	0	0	0	15	14	1	6	2	4	0	0	0	0	0	19	30	-11	12	34	61	95	0	0	0	19	7	6	394	0	145	123	119	400	116	161	259	63	8	12.70%	63	18	71.43%	2	275	492	55.89%	234	469	49.89%	84	173	48.55%	317	226	272	87	147	75
2022	4	0	4	0	0	0	0	0	9	18	-9	2	0	2	0	0	0	0	0	3	8	-5	2	0	2	0	0	0	0	0	6	10	-4	0	9	15	24	0	0	0	1	4	4	112	0	32	36	44	149	47	34	78	22	2	9.09%	17	6	64.71%	1	81	156	51.92%	92	166	55.42%	39	67	58.21%	98	66	91	31	50	25
2023	6	2	4	0	0	0	0	0	17	19	-2	3	1	2	0	0	0	0	0	9	10	-1	3	1	2	0	0	0	0	0	8	9	-1	4	17	30	47	0	0	0	6	6	5	196	0	54	51	61	178	51	123	150	40	5	12.50%	30	4	86.67%	0	115	242	47.52%	108	220	49.09%	46	105	43.81%	168	116	162	51	86	43
2024	4	0	4	0	0	0	0	0	12	18	-6	2	0	2	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	8	11	-3	0	12	22	34	0	0	0	1	3	8	146	0	27	47	49	137	51	81	82	39	7	17.95%	19	4	78.95%	0	98	183	53.55%	76	152	50.00%	38	76	50.00%	117	83	110	33	56	28
2025	7	3	4	0	0	0	0	0	23	22	1	3	2	1	0	0	0	0	0	13	8	5	4	1	3	0	0	0	0	0	10	14	-4	6	23	43	66	0	0	0	8	10	5	181	0	56	63	62	206	66	76	145	28	2	7.14%	38	7	81.58%	0	97	220	44.09%	122	245	49.80%	56	111	50.45%	168	113	161	53	90	45
2026	9	5	4	0	0	0	0	0	40	37	3	4	2	2	0	0	0	0	0	13	15	-2	5	3	2	0	0	0	0	0	27	22	5	10	40	69	109	0	0	0	17	12	11	267	0	96	91	80	319	70	124	198	39	10	25.64%	43	11	74.42%	0	159	327	48.62%	160	354	45.20%	74	164	45.12%	208	140	218	67	113	55
2027	6	2	4	0	0	0	0	0	19	21	-2	3	1	2	0	0	0	0	0	9	8	1	3	1	2	0	0	0	0	0	10	13	-3	4	19	36	55	1	1	0	6	7	6	202	0	58	87	51	179	43	87	141	33	8	24.24%	36	5	86.11%	0	121	229	52.84%	104	213	48.83%	44	107	41.12%	148	100	144	45	79	40
2030	27	14	13	0	0	0	0	0	88	78	10	14	6	8	0	0	0	0	0	37	38	-1	13	8	5	0	0	0	0	0	51	40	11	28	88	159	247	1	2	0	25	26	36	841	0	272	267	266	804	238	371	595	154	26	16.88%	150	31	79.33%	1	500	1019	49.07%	546	1022	53.42%	232	447	51.90%	686	472	635	211	351	175
2031	5	1	4	0	0	0	0	0	10	16	-6	3	1	2	0	0	0	0	0	8	9	-1	2	0	2	0	0	0	0	0	2	7	-5	2	10	19	29	0	0	0	3	4	3	175	0	65	52	53	155	48	62	117	33	4	12.12%	25	4	84.00%	2	103	219	47.03%	101	191	52.88%	40	78	51.28%	126	85	115	39	64	32
2032	6	2	4	0	0	0	0	0	16	27	-11	3	1	2	0	0	0	0	0	9	10	-1	3	1	2	0	0	0	0	0	7	17	-10	4	16	30	46	0	1	0	6	6	4	166	0	57	58	49	218	68	89	125	29	5	17.24%	40	10	75.00%	0	99	213	46.48%	111	247	44.94%	48	108	44.44%	130	85	159	47	74	35
2033	22	12	10	0	0	0	0	0	68	59	9	11	6	5	0	0	0	0	0	38	30	8	11	6	5	0	0	0	0	0	30	29	1	24	68	119	187	1	2	0	28	19	18	617	0	190	198	217	755	226	294	514	89	22	24.72%	128	17	86.72%	0	351	746	47.05%	427	890	47.98%	157	345	45.51%	484	320	590	171	279	133
2034	10	5	5	0	0	0	0	0	40	34	6	6	2	4	0	0	0	0	0	24	22	2	4	3	1	0	0	0	0	0	16	12	4	10	40	72	112	0	0	0	11	14	15	343	0	88	137	118	338	113	112	204	46	13	28.26%	51	12	76.47%	1	197	361	54.57%	226	384	58.85%	92	173	53.18%	242	167	229	75	127	64
2035	17	10	7	0	0	0	0	0	62	63	-1	8	6	2	0	0	0	0	0	32	22	10	9	4	5	0	0	0	0	0	30	41	-11	20	62	113	175	0	0	0	21	23	17	606	0	177	215	189	541	169	191	405	90	9	10.00%	84	11	86.90%	4	358	679	52.72%	341	649	52.54%	152	295	51.53%	426	296	416	133	221	110
2036	7	3	4	0	0	0	0	0	28	26	2	4	2	2	0	0	0	0	0	21	17	4	3	1	2	0	0	0	0	0	7	9	-2	6	28	51	79	0	0	0	10	11	7	281	0	90	92	96	209	61	93	158	26	7	26.92%	37	6	83.78%	0	159	292	54.45%	135	247	54.66%	63	114	55.26%	174	122	168	50	84	42
2037	11	4	7	0	0	0	0	0	33	39	-6	6	2	4	0	0	0	0	0	19	20	-1	5	2	3	0	0	0	0	0	14	19	-5	8	33	58	91	0	0	11	9	12	1	360	129	117	112	2	386	109	221	254	37	4	10.81%	81	18	77.78%	0	238	414	57.49%	223	435	51.26%	92	172	53.49%	261	179	268	83	138	66
2038	13	6	7	0	0	0	0	0	46	49	-3	7	3	4	0	0	0	0	0	22	23	-1	6	3	3	0	0	0	0	0	24	26	-2	12	46	88	134	1	0	14	14	16	2	482	139	178	161	4	419	119	188	275	74	16	21.62%	72	13	81.94%	0	285	532	53.57%	245	457	53.61%	112	213	52.58%	330	231	292	94	164	83
Total Séries éliminatoires	207	97	110	0	0	0	0	0	667	680	-13	105	52	53	0	0	0	0	0	345	315	30	102	45	57	0	0	0	0	0	322	365	-43	194	667	1189	1856	4	6	25	220	224	186	6643	268	2111	2231	1854	6740	2015	2823	4611	952	168	17.65%	1020	197	80.69%	15	3733	7320	51.00%	3806	7401	51.43%	1724	3404	50.65%	4998	3342	6714	2467	2876	1436

Predators 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	PKG	PKA	PKP	PKS	GW	GT	FO%	P/20
1	David Krejci	124	40	67	107	-12	10	22	376	339	11.80%	22	2423	19.55	5	25	30	71	0	0	0	0	2	3	52.13%	0.88
2	Andy McDonald	234	40	63	103	37	161	278	348	385	10.39%	153	3934	16.82	2	4	6	15	1	2	3	7	7	2	50.12%	0.52
3	Alexander Edler	117	19	69	88	2	203	303	109	195	9.74%	179	2716	23.22	13	21	34	121	1	1	2	3	1	1	0.00%	0.65
4	Chris Kreider	86	28	45	73	10	76	129	90	296	9.46%	10	1444	16.79	10	12	22	68	0	0	0	2	8	0	42.00%	1.01
5	Patric Hornqvist	113	27	42	69	-11	100	253	120	248	10.89%	14	1863	16.49	4	11	15	46	0	0	0	0	3	3	34.18%	0.74

Predators Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG
1	Ben Bishop	82	42	28	9	0.905	2.98	4881	2	5	242	2540	0	4	2
2	Johan Hedberg	24	14	8	2	0.915	2.58	1444	0	0	62	732	312	3	0
3	Adin Hill	24	12	11	1	0.884	3.70	1379	4	0	85	732	0	0	1
4	Kari Lehtonen	22	8	13	1	0.886	3.54	1305	4	0	77	674	0	0	0
5	Miikka Kiprusoff	13	7	5	1	0.926	2.64	797	2	0	35	475	192	1	0