Canadian Hockey League

Cyclones
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Stats Équipe
Calendrier
Charte
Carrière

Centre de jeu
	Predators 8-4-2, 18pts	3	FINAL	2	Lightning 1-12-2, 4pts

Team Stats
W1	Streak	L3
4-3-1	Home Record	0-6-2
4-1-1	Away Record	1-6-0
5-3-2	Last 10 Games	1-8-1
3.36	Goals Per Game	2.47
3.00	Goals Against Per Game	5.60
21.43%	Power Play Percentage	14.06%
76.32%	Penalty Kill Percentage	67.61%

Bruins
6-6-2, 14pts

FINAL

Predators
8-4-2, 18pts

Team Stats
L4	Streak	W1
1-3-2	Home Record	4-3-1
5-3-0	Away Record	4-1-1
4-6-0	Last 10 Games	5-3-2
3.21	Goals Per Game	3.36
3.36	Goals Against Per Game	3.00
21.88%	Power Play Percentage	21.43%
77.50%	Penalty Kill Percentage	76.32%

Predators
8-4-2, 18pts

Jour 35

Avalanche
3-11-0, 6pts

Stats Équipe
W1	Séquence	L1
4-3-1	Fiche domicile	2-3-0
4-1-1	Fiche visiteur	1-8-0
5-3-2	10 derniers matchs	3-7-0
3.36	Buts par match	2.64
3.00	Buts contre par match	4.00
21.43%	Pourcentage en avantage numérique	13.85%
76.32%	Pourcentage en désavantage numérique	85.94%

Predators
8-4-2, 18pts

Jour 38

Stars
10-4-1, 21pts

Stats Équipe
W1	Séquence	W3
4-3-1	Fiche domicile	5-2-0
4-1-1	Fiche visiteur	5-2-1
5-3-2	10 derniers matchs	6-4-0
3.36	Buts par match	3.93
3.00	Buts contre par match	2.73
21.43%	Pourcentage en avantage numérique	27.27%
76.32%	Pourcentage en désavantage numérique	77.92%

Predators
8-4-2, 18pts

Jour 40

Ducks
8-8-0, 16pts

Stats Équipe
W1	Séquence	L2
4-3-1	Fiche domicile	5-3-0
4-1-1	Fiche visiteur	3-5-0
5-3-2	10 derniers matchs	6-4-0
3.36	Buts par match	4.00
3.00	Buts contre par match	4.19
21.43%	Pourcentage en avantage numérique	20.29%
76.32%	Pourcentage en désavantage numérique	72.60%

Meneurs d'équipe
	Buts Ryan O'Reilly 12	Passes Ryan O'Reilly 12

	Points Ryan O'Reilly 24	Plus/Moins Ryan O'Reilly 12

	Victoires Adin Hill 8	Pourcentage d’arrêts Adin Hill 0.91

Stats Équipe
Buts pour 47 3.36 GFG	Tirs pour 492 35.14 Avg	Pourcentage en avantage numérique 21.4% 15 GF	Début de zone offensive 45.3%
Buts contre 42 3.00 GAA	Tirs contre 403 28.79 Avg	Pourcentage en désavantage numérique 76.3% 18 GA	Début de la zone défensive 37.9%

Blessure/Suspension
	Tomas Hertl est dehors pour 1 mois à cause de Sprained Right Ankle Injury.
	Sean Kuraly est dehors pour 2 jours à cause de Right Knee Injury.

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

Informations de l’aréna
	Nom	Diet Pepsi Arena
	Capacité	25,000
	Assistance	22,537
	Billets de saison	10,000
Information formation
	Équipe Pro	23
	Équipe Mineure	26
	Limite contact	49 / 50
	Espoirs	5
Plafond salarial
	Cap Salarial de la Saison estimé	77,203,921$
	Plafond salarial disponible	7,796,079$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	14,759,070$
	Dépenses annuelles à ce jour	16,147,465$
	Revenus de la saison estimés	60,881,164$
	Dépenses de la saison estimées	67,056,561$
	Compte bancaire actuel	126,207,056$
	Compte bancaire projeté	116,637,930$
Historique d'équipe
	Saison actuelle	8-4-2 (18PTS)
	Historique	937-498-129 (0.599%)
	Apparitions séries éliminatoires	18
	Historique séries éliminatoires (W-L)	91-103
	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	Chris Kreider (C)		X			100.00	68	60	84	88	84	86	99	83	72	76	89	82	65	90	88	25	25	79	0	33	1	5,500,000$
2	Ryan O'Reilly	X				100.00	47	51	86	89	67	87	99	80	89	83	76	84	77	90	89	25	39	77	0	33	3	7,500,000$
3	Tage Thompson			X		100.00	66	62	78	83	83	85	92	77	78	71	83	77	82	78	82	55	29	75	0	27	3	1$
4	Ryan Hartman			X		100.00	64	48	71	86	60	82	94	70	82	67	73	80	40	84	83	40	30	72	0	30	3	4,750,000$
5	Tom Wilson (A)			X		100.00	99	71	54	78	79	85	94	64	40	59	70	85	40	84	85	40	18	72	0	30	2	5,500,000$
6	Anthony Duclair		X			100.00	56	47	81	86	58	81	93	69	40	60	77	75	60	82	82	45	32	70	0	29	1	5,000,000$
7	Tommy Novak		X			100.00	42	44	88	87	53	79	92	71	77	71	71	73	90	78	79	55	29	70	0	27	3	3,000,000$
8	Drew O'Connor		X			100.00	56	51	85	79	67	81	97	62	40	58	67	87	40	76	79	60	29	69	0	26	2	2,000,000$
9	Calle Jarnkrok	X				100.00	65	46	83	82	56	80	79	62	84	57	66	79	62	90	85	25	29	68	0	33	4	3,500,000$
10	Garnet Hathaway			X		100.00	99	63	58	75	71	75	99	54	40	50	57	82	40	90	83	25	23	67	0	33	1	2,750,000$
11	Justin Danforth	X				100.00	76	41	83	83	47	79	92	60	84	58	62	76	40	86	83	35	32	67	0	31	2	900,000$
12	Artem Zub				X	100.00	87	52	81	79	69	85	90	61	40	64	59	85	40	82	84	45	29	74	0	29	2	3,500,000$
13	Esa Lindell				X	100.00	61	55	87	77	75	84	99	59	40	61	58	90	40	84	84	40	29	74	0	30	3	4,000,000$
14	Neal Pionk				X	100.00	99	48	75	83	56	84	99	63	40	68	58	75	40	82	83	45	17	73	0	29	3	5,500,000$
15	Jan Rutta				X	100.00	63	52	79	77	69	82	90	58	40	57	59	83	40	92	87	20	29	72	0	34	1	2,750,000$
16	Jared Spurgeon				X	100.00	61	38	88	83	40	89	54	58	40	66	50	91	40	94	92	15	29	71	0	35	2	6,750,000$
17	William Borgen				X	100.00	96	60	74	77	69	79	99	58	40	62	55	73	40	80	80	50	27	71	0	28	2	2,500,000$
18	Louie Belpedio				X	100.00	71	47	90	83	58	72	51	62	40	54	71	83	40	80	76	50	29	69	0	28	2	2,000,000$
Rayé
1	Tomas Hertl (A)	X				63.18	66	55	82	84	75	89	80	74	93	72	76	87	54	86	88	35	15	75	0	31	3	7,500,000$
2	Sean Kuraly	X				93.87	99	54	77	77	73	77	85	57	83	52	62	77	40	86	82	35	16	67	0	31	2	2,000,000$
3	Nick Perbix				X	100.00	64	52	87	77	68	78	96	58	40	63	53	79	40	76	77	60	24	70	0	26	2	2,600,000$
Équipe Mineure
1	Alexey Toropchenko			X		100.00	87	60	83	75	84	76	99	56	40	47	64	75	40	74	75	65	24	66	0	25	2	1,975,000$
2	Alex Limoges		X			100.00	74	70	84	80	65	71	61	59	40	56	62	70	40	78	75	55	23	63	0	27	3	1,000,000$
3	Alex Steeves		X			100.00	48	44	82	81	59	74	64	61	40	58	64	60	40	74	74	65	23	62	0	25	1	825,000$
4	Chris Tierney	X				100.00	49	51	82	77	59	70	79	54	92	53	56	68	60	84	77	40	23	62	0	30	2	950,000$
5	Cole Koepke		X			100.00	84	48	85	77	65	62	52	55	40	49	61	70	40	76	69	60	23	61	0	26	1	700,000$
6	Walker Duehr			X		100.00	79	53	87	75	70	68	70	52	40	50	54	60	40	78	73	55	23	60	0	27	3	1,000,000$
7	Mike Hardman		X			100.00	99	61	83	75	68	72	62	49	40	40	59	61	40	74	73	65	19	59	0	25	1	825,000$
8	Denis Malgin	X				100.00	65	41	88	82	46	60	50	58	40	50	56	57	40	78	69	55	23	58	0	27	1	1,700,000$
9	Filip Chlapik			X		100.00	94	49	84	76	62	60	50	53	40	48	50	50	40	78	69	55	23	56	0	27	1	1,700,000$
10	Chase Wheatcroft (R)		X			100.00	49	44	78	86	53	60	50	39	40	43	35	55	40	68	64	80	20	51	0	22	3	1,000,000$
11	Jon-Randall Avon (R)		X			100.00	47	46	84	89	48	74	64	36	40	31	41	50	40	66	70	85	20	51	0	21	3	1,000,000$
12	Bryce Kindopp			X		100.00	70	78	84	75	59	60	50	32	40	26	38	62	40	74	67	65	23	50	0	25	1	770,000$
13	Trevor vanRiemsdyk				X	100.00	47	49	85	75	63	81	91	53	40	56	50	79	40	90	86	25	23	68	0	33	1	1,000,000$
14	Brayden Pachal				X	100.00	99	55	70	75	66	74	77	52	40	48	55	70	40	74	74	65	23	67	0	25	1	850,000$
15	Jacob Moverare				X	100.00	52	54	85	75	72	67	60	48	40	40	55	65	40	76	72	60	23	61	0	26	1	925,000$
16	Calle Rosen				X	100.00	48	46	86	75	56	72	67	46	40	57	34	50	40	84	78	40	23	58	0	30	1	850,000$
17	Anttoni Honka (R)				X	100.00	44	41	84	77	47	55	50	47	40	53	41	51	40	72	64	70	23	54	0	24	1	750,000$
18	Nathan Noel	X				100.00	58	59	66	75	46	60	50	30	70	27	34	57	40	78	69	55	23	48	0	27	1	1,350,000$
19	Marc Del Gaizo				X	100.00	50	49	79	78	54	64	59	51	40	56	46	70	40	74	69	65	35	61	0	25	3	975,000$
20	Zack Hayes				X	100.00	86	50	77	75	83	55	50	34	40	30	39	50	40	74	65	65	24	56	0	25	1	825,000$

	MOYENNE D’ÉQUIPE					98.93	69	52	81	80	63	74	76	57	51	55	58	72	46	80	78	49	25	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	73	74	96	80	79	84	85	78	80	96	80	80	50	32	80	0	28	4	5,000,000$
2	Petr Mrazek	100.00	90	98	99	87	73	74	78	78	75	72	99	88	81	30	27	79	0	32	2	2,000,000$
Rayé
Équipe Mineure
1	Kevin Lankinen	100.00	90	59	60	87	74	78	74	81	76	73	99	82	80	45	19	75	0	29	1	2,000,000$
2	Spencer Martin	100.00	79	53	60	89	62	60	63	59	62	60	94	82	71	45	23	65	0	29	3	1,000,000$
3	Keith Kinkaid	100.00	75	50	60	88	50	50	50	50	50	50	40	94	72	15	20	59	0	35	2	1,250,000$
4	Eric Comrie	100.00	76	50	60	86	50	50	50	50	50	50	87	82	66	45	20	58	0	29	3	1,200,000$
5	Erik Kallgren	100.00	77	50	60	91	50	50	50	50	50	50	40	80	65	50	20	58	0	28	2	2,000,000$
6	Devin Cooley (R)	100.00	81	50	60	93	50	50	50	50	50	50	50	78	64	55	20	58	0	27	3	1,200,000$

	MOYENNE D’ÉQUIPE	100.00	82	60	67	90	61	61	62	63	61	61	76	83	72	42	23	67

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bruce Cassidy	92	89	87	96	89	86	52	CAN	59	4	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	P/20	PSS	FL	FT	S1	S2	S3
1	Ryan O'Reilly	Predators	C	14	12	12	24	12	4	0	7	40	47	22	24	25.53%	2	288	20.61	4	5	9	13	61	0	0	0	0	26	1	1	57.07%	382	1.66	1	0	0	2	3	1
2	Chris Kreider	Predators	LW	14	9	10	19	9	15	5	23	33	68	23	61	13.24%	1	299	21.38	3	2	5	16	48	0	0	0	2	32	3	1	52.13%	94	1.27	0	0	0	3	1	3
3	Tage Thompson	Predators	RW	14	4	9	13	8	14	0	34	20	45	19	44	8.89%	5	282	20.18	0	7	7	11	53	0	0	0	1	19	2	0	52.78%	36	0.92	0	0	0	1	2	1
4	Esa Lindell	Predators	D	14	5	6	11	7	0	0	9	24	28	12	11	17.86%	27	331	23.69	2	2	4	12	54	0	0	0	1	64	2	0	0.00%	0	0.66	0	0	0	1	0	1
5	Anthony Duclair	Predators	LW	14	3	8	11	3	11	5	11	18	45	11	38	6.67%	2	269	19.23	1	3	4	20	61	0	0	0	1	13	0	0	43.48%	23	0.82	0	1	0	0	1	1
6	Artem Zub	Predators	D	14	1	8	9	7	26	0	56	16	10	8	11	10.00%	16	317	22.65	0	3	3	2	25	0	0	0	0	53	0	0	0.00%	0	0.57	0	0	0	0	0	1
7	Ryan Hartman	Predators	RW	14	2	6	8	-2	17	5	32	17	43	13	31	4.65%	4	268	19.20	1	2	3	7	49	0	0	0	0	23	0	0	48.00%	25	0.60	0	0	1	0	1	0
8	Tommy Novak	Predators	LW	14	3	5	8	2	0	0	1	19	29	8	30	10.34%	1	208	14.91	2	1	3	5	24	0	0	0	0	0	0	0	41.67%	12	0.77	0	0	0	0	0	1
9	Calle Jarnkrok	Predators	C	14	1	5	6	-4	6	0	9	35	39	9	23	2.56%	1	262	18.75	0	1	1	8	29	0	0	0	0	48	0	0	51.41%	354	0.46	0	0	0	0	0	0
10	Jared Spurgeon	Predators	D	14	2	3	5	3	6	0	10	14	21	2	10	9.52%	15	259	18.54	1	2	3	8	19	0	1	1	0	42	0	0	0.00%	0	0.39	0	0	0	0	0	1
11	Tom Wilson	Predators	RW	13	3	2	5	-2	20	0	30	22	32	7	21	9.38%	4	180	13.91	0	1	1	0	9	0	0	0	0	28	0	0	30.00%	10	0.55	0	0	0	0	0	0
12	Tomas Hertl	Predators	C	7	2	3	5	1	10	0	8	20	24	7	24	8.33%	0	132	18.86	2	0	2	10	24	0	0	0	0	1	0	0	56.67%	150	0.76	0	0	0	1	0	0
13	Louie Belpedio	Predators	D	14	2	2	4	0	10	0	6	9	12	5	6	16.67%	4	150	10.73	1	1	2	5	35	0	0	0	0	5	0	0	0.00%	0	0.53	0	0	0	0	1	0
14	Jan Rutta	Predators	D	14	0	3	3	-1	8	0	9	14	11	3	6	0.00%	13	239	17.14	0	0	0	2	16	0	1	1	0	54	0	0	0.00%	0	0.25	0	0	0	1	0	0
15	Nick Perbix	Predators	D	10	0	3	3	4	2	0	7	4	9	2	8	0.00%	5	137	13.71	0	1	1	4	19	0	0	0	0	12	0	0	0.00%	0	0.44	0	0	0	0	0	0
16	Drew O'Connor	Predators	LW	14	2	0	2	-1	0	0	1	9	20	5	11	10.00%	1	162	11.58	0	0	0	0	2	1	0	1	4	33	0	0	56.25%	16	0.25	0	0	0	0	0	0
17	Garnet Hathaway	Predators	RW	12	1	0	1	3	13	5	9	2	3	1	4	33.33%	0	41	3.44	0	0	0	2	0	0	0	0	0	0	1	0	0.00%	3	0.48	0	0	1	0	0	0
18	Sean Kuraly	Predators	C	11	1	0	1	4	2	0	4	6	5	4	0	20.00%	0	62	5.65	0	0	0	0	0	0	0	0	0	29	0	1	60.27%	73	0.32	0	0	0	0	0	0
19	Neal Pionk	Predators	D	10	1	0	1	-5	20	0	32	8	11	6	2	9.09%	10	162	16.21	0	0	0	5	30	0	0	0	0	8	0	0	0.00%	0	0.12	0	0	0	0	0	0
20	Justin Danforth	Predators	C	7	0	1	1	0	0	0	4	12	11	0	6	0.00%	0	71	10.21	0	0	0	0	0	0	0	0	0	0	0	0	43.02%	86	0.28	0	0	0	0	0	0
21	William Borgen	Predators	D	6	0	1	1	0	12	0	9	3	5	3	3	0.00%	0	79	13.26	0	0	0	3	14	0	0	0	0	7	0	0	0.00%	0	0.25	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				258	54	87	141	48	196	20	311	345	518	170	374	10.42%	111	4206	16.30	17	31	48	133	582	1	2	3	9	504	9	3	53.24%	1264	0.67	1	1	2	9	9	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	SO	GA	SA	ST	BG	S1
1	Adin Hill	Predators	13	8	2	2	0.910	2.59	764	1	33	367	12	2	1
2	Petr Mrazek	Predators	2	0	2	0	0.750	6.92	78	0	9	36	2	12	0
Statistiques d’équipe totales ou en moyenne			15	8	4	2	0.896	2.99	843	1	42	403	14	14	1

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	2038	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2039	2040	2041	2042	Link
Adin Hill	Predators	G	28	1996-05-11	No	190 Lbs	6 ft4	No	No	Yes	4	Pro Only	5,000,000$	5,000,000$	4,039,548$	No	5,000,000$	5,000,000$	5,000,000$	UFA	Lien / Lien NHL
Anthony Duclair	Predators	LW	29	1995-08-26	No	197 Lbs	5 ft11	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	4,039,548$	No	UFA				Lien / Lien NHL
Artem Zub	Predators	D	29	1995-10-03	No	204 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	3,500,000$	3,500,000$	2,827,684$	No	3,500,000$	UFA			Lien / Lien NHL
Calle Jarnkrok	Predators	C	33	1991-09-25	No	190 Lbs	6 ft0	Yes	No	Yes	4	Pro & Farm	3,500,000$	3,500,000$	2,827,684$	No	3,500,000$	3,500,000$	3,500,000$	UFA	Lien / Lien NHL
Chris Kreider	Predators	LW	33	1991-04-30	No	233 Lbs	6 ft3	No	No	Yes	1	Pro Only	5,500,000$	5,500,000$	4,443,503$	No	UFA				Lien / Lien NHL
Drew O'Connor	Predators	LW	26	1998-06-09	No	200 Lbs	6 ft3	No	No	No	2	Pro & Farm	2,000,000$	2,000,000$	1,615,819$	No	2,000,000$	UFA			Lien / Lien NHL
Esa Lindell	Predators	D	30	1994-05-23	No	216 Lbs	6 ft3	No	No	Yes	3	Pro & Farm	4,000,000$	4,000,000$	3,231,638$	No	4,000,000$	4,000,000$	UFA		Lien / Lien NHL
Garnet Hathaway	Predators	RW	33	1991-11-23	No	212 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	2,750,000$	2,750,000$	2,221,751$	No	UFA				Lien / Lien NHL
Jan Rutta	Predators	D	34	1990-07-29	No	204 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	2,750,000$	2,750,000$	2,221,751$	No	UFA				Lien / Lien NHL
Jared Spurgeon	Predators	D	35	1989-11-29	No	166 Lbs	5 ft9	No	No	Yes	2	Pro Only	6,750,000$	6,750,000$	5,453,390$	No	6,750,000$	UFA			Lien / Lien NHL
Justin Danforth	Predators	C	31	1993-03-15	No	188 Lbs	5 ft8	No	No	No	2	Pro & Farm	900,000$	900,000$	727,119$	No	900,000$	UFA			Lien / Lien NHL
Louie Belpedio	Predators	D	28	1996-05-14	No	197 Lbs	5 ft11	Yes	No	No	2	Pro & Farm	2,000,000$	2,000,000$	1,615,819$	No	2,000,000$	UFA			Lien / Lien NHL
Neal Pionk	Predators	D	29	1995-07-29	No	190 Lbs	6 ft0	No	No	Yes	3	Pro Only	5,500,000$	5,500,000$	4,443,503$	No	5,500,000$	5,500,000$	UFA		Lien / Lien NHL
Nick Perbix	Predators	D	26	1998-06-15	No	202 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	2,600,000$	2,600,000$	2,100,565$	No	2,600,000$	UFA			Lien / Lien NHL
Petr Mrazek	Predators	G	32	1992-02-14	No	187 Lbs	6 ft1	No	No	No	2	Pro & Farm	2,000,000$	2,000,000$	1,615,819$	No	2,000,000$	UFA			Lien / Lien NHL
Ryan Hartman	Predators	RW	30	1994-09-20	No	197 Lbs	6 ft0	No	No	Yes	3	Pro & Farm	4,750,000$	4,750,000$	3,837,571$	No	4,750,000$	4,750,000$	UFA		Lien / Lien NHL
Ryan O'Reilly	Predators	C	33	1991-02-07	No	207 Lbs	6 ft1	No	No	Yes	3	Pro Only	7,500,000$	7,500,000$	6,059,322$	No	7,500,000$	7,500,000$	UFA		Lien / Lien NHL
Sean Kuraly (sur la masse salariale)	Predators	C	31	1993-01-20	No	215 Lbs	6 ft2	Yes	No	No	2	Pro & Farm	2,000,000$	2,000,000$	1,615,819$	No	2,000,000$	UFA			Lien / Lien NHL
Tage Thompson	Predators	RW	27	1997-10-30	No	220 Lbs	6 ft6	Yes	No	Yes	3	Pro Only	1$	1$	1$	No	8,125,000$	8,125,000$	UFA		Lien / Lien NHL
Tom Wilson	Predators	RW	30	1994-03-29	No	220 Lbs	6 ft4	No	No	Yes	2	Pro Only	5,500,000$	5,500,000$	4,443,503$	No	5,500,000$	UFA			Lien / Lien NHL
Tomas Hertl (sur la masse salariale)	Predators	C	31	1993-11-12	No	215 Lbs	6 ft3	No	No	Yes	3	Pro Only	7,500,000$	7,500,000$	6,059,322$	No	7,500,000$	7,500,000$	UFA		Lien / Lien NHL
Tommy Novak	Predators	LW	27	1997-04-28	No	179 Lbs	6 ft1	No	No	Yes	3	Pro & Farm	3,000,000$	3,000,000$	2,423,729$	No	3,000,000$	3,000,000$	UFA		Lien / Lien NHL
William Borgen	Predators	D	28	1996-12-19	No	204 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	2,500,000$	2,500,000$	2,019,774$	No	2,500,000$	UFA			Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	30.13	201 Lbs	6 ft2	2.30	3,760,870$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
86,500,001$	78,625,000$	48,875,000$	8,500,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Chris Kreider	Ryan O'Reilly	Tage Thompson	36	0	2	3
2	Anthony Duclair	Calle Jarnkrok	Ryan Hartman	32	0	2	3
3	Tommy Novak	Justin Danforth	Tom Wilson	25	1	3	1
4	Drew O'Connor	Ryan Hartman	Garnet Hathaway	7	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Artem Zub	Esa Lindell	37	1	2	2
2	Louie Belpedio	Jared Spurgeon	33	1	2	2
3	Jan Rutta	Neal Pionk	24	1	2	2
4	Louie Belpedio	Artem Zub	6	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Chris Kreider	Ryan O'Reilly	Tage Thompson	55	1	1	3
2	Anthony Duclair	Calle Jarnkrok	Ryan Hartman	45	1	1	3

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Louie Belpedio	Esa Lindell	55	1	1	3
2	Jared Spurgeon	Neal Pionk	45	1	1	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Calle Jarnkrok	Ryan Hartman	55	1	4	0
2	Tage Thompson	Drew O'Connor	45	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Artem Zub	Esa Lindell	55	1	4	0
2	Jared Spurgeon	Jan Rutta	45	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Calle Jarnkrok	55	1	4	0	Artem Zub	Esa Lindell	55	1	4	0
2	Tage Thompson	45	1	4	0	Jared Spurgeon	Jan Rutta	45	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Chris Kreider	Tage Thompson	55	1	2	2
2	Calle Jarnkrok	Anthony Duclair	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Artem Zub	Esa Lindell	55	1	2	2
2	Jared Spurgeon	Jan Rutta	45	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Chris Kreider	Ryan O'Reilly	Tage Thompson	Louie Belpedio	Esa Lindell

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Drew O'Connor	Calle Jarnkrok	Tom Wilson	Artem Zub	Jared Spurgeon

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Ryan O'Reilly, Drew O'Connor, Calle Jarnkrok	Tom Wilson, Drew O'Connor	Calle Jarnkrok

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Neal Pionk, Louie Belpedio, Jared Spurgeon	Artem Zub	Louie Belpedio, Neal Pionk

Tirs de pénalité
Chris Kreider, Tage Thompson, Anthony Duclair, Ryan O'Reilly, Ryan Hartman

Gardien
#1 : Adin Hill, #2 : Petr Mrazek

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	Bruins	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	8	13	0	0	2	1	2	0	26	9	5	12	0	40	2	22	26	6	2	33.33%	5	0	100.00%	0	306	552	55.43%	246	462	53.25%	114	204	55.88%	23	15	24	6	12	6
2	Devils	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	1	4	2	1.000	5	9	14	0	0	1	1	3	0	40	17	11	12	0	16	9	10	21	7	2	28.57%	5	1	80.00%	0	306	552	55.43%	246	462	53.25%	114	204	55.88%	25	16	20	7	13	7
3	Flames	2	2	0	0	0	0	0	0	10	3	7	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	1	4	4	1.000	10	18	28	0	0	4	2	4	0	81	33	21	27	0	46	18	16	34	10	2	20.00%	8	2	75.00%	1	306	552	55.43%	246	462	53.25%	114	204	55.88%	57	40	36	13	26	13
4	GoldenKnights	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	2	1	0	0	40	8	17	15	0	24	7	9	21	7	0	0.00%	2	0	100.00%	0	306	552	55.43%	246	462	53.25%	114	204	55.88%	26	18	21	7	12	6
5	Islanders	2	0	0	0	1	1	0	0	5	5	0	1	0	0	0	0	1	0	0	1	2	-1	1	0	0	0	1	0	0	0	4	3	1	3	0.750	5	8	13	0	0	2	0	2	1	68	25	24	17	2	46	10	16	36	8	2	25.00%	8	2	75.00%	0	306	552	55.43%	246	462	53.25%	114	204	55.88%	53	38	43	14	25	12
6	Jets	1	0	0	0	1	0	0	0	1	0	1	1	0	0	0	1	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	1	2	3	0	1	0	0	0	1	40	16	17	5	2	28	5	14	23	3	0	0.00%	6	0	100.00%	0	306	552	55.43%	246	462	53.25%	114	204	55.88%	28	20	20	7	12	6
7	Lightning	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	4	7	0	0	0	2	0	1	34	15	12	6	1	28	11	20	26	3	0	0.00%	9	1	88.89%	0	306	552	55.43%	246	462	53.25%	114	204	55.88%	25	17	22	7	12	5
8	Oilers	2	0	1	0	0	1	0	0	6	9	-3	1	0	1	0	0	0	0	0	3	5	-2	1	0	0	0	0	1	0	0	3	4	-1	1	0.250	6	9	15	0	0	1	3	2	0	71	25	25	21	0	42	21	41	33	13	3	23.08%	14	5	64.29%	0	306	552	55.43%	246	462	53.25%	114	204	55.88%	46	31	48	15	25	12
9	Rangers	1	0	1	0	0	0	0	0	1	6	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	1	2	3	0	0	1	0	0	0	25	7	7	11	0	52	20	20	24	3	1	33.33%	10	3	70.00%	0	306	552	55.43%	246	462	53.25%	114	204	55.88%	21	12	26	7	12	6
10	Sharks	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	9	15	0	0	2	1	3	0	38	13	7	18	0	26	3	6	31	5	1	20.00%	2	1	50.00%	0	306	552	55.43%	246	462	53.25%	114	204	55.88%	28	20	18	6	12	7
11	Wild	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	1	0	0	29	11	10	8	0	55	5	14	24	5	2	40.00%	7	3	57.14%	0	306	552	55.43%	246	462	53.25%	114	204	55.88%	20	13	27	7	12	6
	Total	14	5	4	0	3	2	0	0	47	42	5	8	3	3	0	1	1	0	0	26	25	1	6	2	1	0	2	1	0	0	21	17	4	18	0.643	47	79	126	0	1	16	12	16	3	492	179	156	152	5	403	111	188	299	70	15	21.43%	76	18	76.32%	1	306	552	55.43%	246	462	53.25%	114	204	55.88%	357	246	308	102	178	92
	_Since Last GM Reset	14	5	4	0	3	2	0	0	47	42	5	8	3	3	0	1	1	0	0	26	25	1	6	2	1	0	2	1	0	0	21	17	4	18	0.643	47	79	126	0	1	16	12	16	3	492	179	156	152	5	403	111	188	299	70	15	21.43%	76	18	76.32%	1	306	552	55.43%	246	462	53.25%	114	204	55.88%	357	246	308	102	178	92
	_Vs Conference	8	3	3	0	1	1	0	0	28	25	3	6	2	3	0	1	0	0	0	20	20	0	2	1	0	0	0	1	0	0	8	5	3	9	0.563	28	48	76	0	1	10	8	9	1	299	106	97	94	2	221	59	100	166	43	8	18.60%	39	11	71.79%	1	306	552	55.43%	246	462	53.25%	114	204	55.88%	208	145	171	57	101	53
	_Vs Division	2	0	1	0	1	0	0	0	3	6	-3	2	0	1	0	1	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	2	0.500	3	6	9	0	1	1	1	0	1	69	27	27	13	2	83	10	28	47	8	2	25.00%	13	3	76.92%	0	306	552	55.43%	246	462	53.25%	114	204	55.88%	48	34	47	14	24	12

			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
14	18	W1	47	79	126	492	403	111	188	299	0	1

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	5	4	3	2	0	0	47	42

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	3	3	1	1	0	0	26	25

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	1	2	1	0	0	21	17

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
4	3	1	2	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
70	15	21.43%	76	18	76.32%	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
179	156	152	5	16	12	16	3

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
306	552	55.43%	246	462	53.25%	114	204	55.88%

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
357	246	308	102	178	92

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	Lien
2	10	Predators	1	Rangers	6	AL		Sommaire du match
4	24	Predators	4	Islanders	3	AW	X	Sommaire du match
7	39	Flames	2	Predators	5	BW		Sommaire du match
9	52	Jets	0	Predators	1	BW	X	Sommaire du match
10	65	Islanders	2	Predators	1	BL	X	Sommaire du match
12	75	Wild	6	Predators	2	BL		Sommaire du match
16	99	Predators	5	Flames	1	AW		Sommaire du match
17	104	Predators	3	Oilers	4	AL	X	Sommaire du match
20	127	Sharks	3	Predators	6	BW		Sommaire du match
22	142	Predators	5	Devils	1	AW		Sommaire du match
24	154	Oilers	5	Predators	3	BL		Sommaire du match
27	174	GoldenKnights	4	Predators	3	BL		Sommaire du match
29	190	Predators	3	Lightning	2	AW	X	Sommaire du match
31	200	Bruins	3	Predators	5	BW		Sommaire du match
35	225	Predators	-	Avalanche	-
38	246	Predators	-	Stars	-
40	260	Predators	-	Ducks	-
41	272	Predators	-	Sharks	-
43	277	Predators	-	Coyotes	-
45	297	Kings	-	Predators	-
47	310	Lightning	-	Predators	-
49	327	Blues	-	Predators	-
50	343	Predators	-	Blues	-
52	360	Ducks	-	Predators	-
54	372	Avalanche	-	Predators	-
56	385	Coyotes	-	Predators	-
58	402	Blackhawks	-	Predators	-
60	415	Sabres	-	Predators	-
63	438	Predators	-	Canucks	-
65	448	Predators	-	Flames	-
68	471	Senators	-	Predators	-
70	483	Canucks	-	Predators	-
72	500	Devils	-	Predators	-
74	515	Predators	-	Senators	-
75	519	Predators	-	Blackhawks	-
77	536	Predators	-	Flyers	-
79	546	Predators	-	Bruins	-
81	571	Stars	-	Predators	-
83	592	Rangers	-	Predators	-
85	611	Predators	-	Capitals	-
86	613	Flyers	-	Predators	-
89	634	Predators	-	RedWings	-
90	639	Predators	-	Canadiens	-
92	656	Predators	-	MapleLeafs	-
94	670	Predators	-	Blackhawks	-
95	672	Predators	-	BlueJacket	-
98	699	Predators	-	Hurricanes	-
100	716	Capitals	-	Predators	-
102	729	Jets	-	Predators	-
104	747	Panthers	-	Predators	-
106	756	Predators	-	Avalanche	-
108	770	Predators	-	GoldenKnights	-
113	785	Predators	-	Panthers	-
114	794	Stars	-	Predators	-
117	816	Coyotes	-	Predators	-
119	832	Stars	-	Predators	-
121	847	Predators	-	Blues	-
122	857	Blues	-	Predators	-
124	869	RedWings	-	Predators	-
126	883	Canadiens	-	Predators	-
128	902	Predators	-	GoldenKnights	-
131	917	Predators	-	Stars	-
133	934	Kings	-	Predators	-
135	950	Avalanche	-	Predators	-
137	964	Oilers	-	Predators	-
138	975	Predators	-	Blues	-
141	998	Predators	-	Jets	-
143	1012	Predators	-	Wild	-
145	1025	Wild	-	Predators	-
149	1054	Hurricanes	-	Predators	-
152	1072	Predators	-	Ducks	-
154	1086	Predators	-	Kings	-
156	1108	Predators	-	Sharks	-
159	1127	MapleLeafs	-	Predators	-
161	1145	Penguins	-	Predators	-
163	1163	Predators	-	Jets	-
165	1170	Predators	-	Wild	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
169	1201	Predators	-	Penguins	-
170	1208	BlueJacket	-	Predators	-
173	1230	Predators	-	Sabres	-
175	1248	Canucks	-	Predators	-
177	1265	Blackhawks	-	Predators	-

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Chris Kreider

AGE:33
SK:		88
EN:		86
DU:		99
PH:		83
PA:		76
SC:		89
DF:		82
Tommy Novak

AGE:27
SK:		87
EN:		79
DU:		92
PH:		71
PA:		71
SC:		71
DF:		73
Anthony Duclair

AGE:29
SK:		86
EN:		81
DU:		93
PH:		69
PA:		60
SC:		77
DF:		75
Drew O'Connor

AGE:26
SK:		79
EN:		81
DU:		97
PH:		62
PA:		58
SC:		67
DF:		87
Alex Limoges

AGE:27
SK:		80
EN:		71
DU:		61
PH:		59
PA:		56
SC:		62
DF:		70
Alex Steeves

AGE:25
SK:		81
EN:		74
DU:		64
PH:		61
PA:		58
SC:		64
DF:		60
Cole Koepke

AGE:26
SK:		77
EN:		62
DU:		52
PH:		55
PA:		49
SC:		61
DF:		70
Mike Hardman

AGE:25
SK:		75
EN:		72
DU:		62
PH:		49
PA:		40
SC:		59
DF:		61
Jon-Randall Avon (R)

AGE:21
SK:		89
EN:		74
DU:		64
PH:		36
PA:		31
SC:		41
DF:		50
Chase Wheatcroft (R)

AGE:22
SK:		86
EN:		60
DU:		50
PH:		39
PA:		43
SC:		35
DF:		55

Ryan O'Reilly

AGE:33
SK:		89
EN:		87
DU:		99
PH:		80
PA:		83
SC:		76
DF:		84
Tomas Hertl

AGE:31
SK:		84
EN:		89
DU:		80
PH:		74
PA:		72
SC:		76
DF:		87
Calle Jarnkrok

AGE:33
SK:		82
EN:		80
DU:		79
PH:		62
PA:		57
SC:		66
DF:		79
Sean Kuraly

AGE:31
SK:		77
EN:		77
DU:		85
PH:		57
PA:		52
SC:		62
DF:		77
Justin Danforth

AGE:31
SK:		83
EN:		79
DU:		92
PH:		60
PA:		58
SC:		62
DF:		76
Chris Tierney

AGE:30
SK:		77
EN:		70
DU:		79
PH:		54
PA:		53
SC:		56
DF:		68
Denis Malgin

AGE:27
SK:		82
EN:		60
DU:		50
PH:		58
PA:		50
SC:		56
DF:		57
Nathan Noel

AGE:27
SK:		75
EN:		60
DU:		50
PH:		30
PA:		27
SC:		34
DF:		57

Tage Thompson

AGE:27
SK:		83
EN:		85
DU:		92
PH:		77
PA:		71
SC:		83
DF:		77
Ryan Hartman

AGE:30
SK:		86
EN:		82
DU:		94
PH:		70
PA:		67
SC:		73
DF:		80
Tom Wilson

AGE:30
SK:		78
EN:		85
DU:		94
PH:		64
PA:		59
SC:		70
DF:		85
Garnet Hathaway

AGE:33
SK:		75
EN:		75
DU:		99
PH:		54
PA:		50
SC:		57
DF:		82
Alexey Toropchenko

AGE:25
SK:		75
EN:		76
DU:		99
PH:		56
PA:		47
SC:		64
DF:		75
Walker Duehr

AGE:27
SK:		75
EN:		68
DU:		70
PH:		52
PA:		50
SC:		54
DF:		60
Filip Chlapik

AGE:27
SK:		76
EN:		60
DU:		50
PH:		53
PA:		48
SC:		50
DF:		50
Bryce Kindopp

AGE:25
SK:		75
EN:		60
DU:		50
PH:		32
PA:		26
SC:		38
DF:		62

Défense #1

Défense #2

Gardien

Artem Zub

AGE:29
SK:		79
EN:		85
DU:		90
PH:		61
PA:		64
SC:		59
DF:		85
Esa Lindell

AGE:30
SK:		77
EN:		84
DU:		99
PH:		59
PA:		61
SC:		58
DF:		90
Neal Pionk

AGE:29
SK:		83
EN:		84
DU:		99
PH:		63
PA:		68
SC:		58
DF:		75
Jan Rutta

AGE:34
SK:		77
EN:		82
DU:		90
PH:		58
PA:		57
SC:		59
DF:		83
William Borgen

AGE:28
SK:		77
EN:		79
DU:		99
PH:		58
PA:		62
SC:		55
DF:		73
Jared Spurgeon

AGE:35
SK:		83
EN:		89
DU:		54
PH:		58
PA:		66
SC:		50
DF:		91
Nick Perbix

AGE:26
SK:		77
EN:		78
DU:		96
PH:		58
PA:		63
SC:		53
DF:		79
Louie Belpedio

AGE:28
SK:		83
EN:		72
DU:		51
PH:		62
PA:		54
SC:		71
DF:		83

Trevor vanRiemsdyk

AGE:33
SK:		75
EN:		81
DU:		91
PH:		53
PA:		56
SC:		50
DF:		79
Brayden Pachal

AGE:25
SK:		75
EN:		74
DU:		77
PH:		52
PA:		48
SC:		55
DF:		70
Marc Del Gaizo

AGE:25
SK:		78
EN:		64
DU:		59
PH:		51
PA:		56
SC:		46
DF:		70
Jacob Moverare

AGE:26
SK:		75
EN:		67
DU:		60
PH:		48
PA:		40
SC:		55
DF:		65
Calle Rosen

AGE:30
SK:		75
EN:		72
DU:		67
PH:		46
PA:		57
SC:		34
DF:		50
Zack Hayes

AGE:25
SK:		75
EN:		55
DU:		50
PH:		34
PA:		30
SC:		39
DF:		50
Anttoni Honka (R)

AGE:24
SK:		77
EN:		55
DU:		50
PH:		47
PA:		53
SC:		41
DF:		51

Adin Hill

AGE:28
SK:		91
AG:		80
RB:		79
SC:		84
HS:		85
RT:		78
DF:		80
Petr Mrazek

AGE:32
SK:		90
AG:		73
RB:		74
SC:		78
HS:		78
RT:		75
DF:		72
Kevin Lankinen

AGE:29
SK:		90
AG:		74
RB:		78
SC:		74
HS:		81
RT:		76
DF:		73
Spencer Martin

AGE:29
SK:		79
AG:		62
RB:		60
SC:		63
HS:		59
RT:		62
DF:		60
Keith Kinkaid

AGE:35
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Devin Cooley (R)

AGE:27
SK:		81
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Erik Kallgren

AGE:28
SK:		77
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Eric Comrie

AGE:29
SK:		76
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

Espoirs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total
Arvid Costmar	Predators	2034	123
Bryce Brodzinski	Predators	2034	84
Dru Krebs	Predators	2035	215
Isak Walther	Predators	2035	179
Josh Davies	Predators	2036	215

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7
2039
2040
2041

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	Jonathan Quick	120	73	36	8	0.906	2.64	6968	29	13	307	3283	0	6	3	0.625	32
4	Antti Raanta	95	58	25	4	0.894	3.18	5108	16	2	271	2545	0	6	1	0.875	8
5	Johan Hedberg	106	52	41	10	0.913	2.59	6270	8	5	271	3127	1260	5	0	0.800	70

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	14	5	4	0	3	2	0	0	47	42	5	8	3	3	0	1	1	0	0	26	25	1	6	2	1	0	2	1	0	0	21	17	4	18	47	79	126	0	1	16	12	16	3	492	179	156	152	5	403	111	188	299	70	15	21.43%	76	18	76.32%	1	306	552	55.43%	246	462	53.25%	114	204	55.88%	357	246	308	102	178	92
Total Saison régulière	1572	821	498	0	42	50	74	87	5588	4503	1085	787	428	236	0	16	23	42	42	2830	2209	621	785	393	262	0	26	27	32	45	2758	2294	464	1906	5588	9763	15351	25	86	137	2002	1762	1580	52124	1132	16955	17321	16353	45730	13854	19525	35401	7641	1535	20.09%	7374	1298	82.40%	89	29487	55766	52.88%	26786	51889	51.62%	13186	25314	52.09%	38688	26079	35181	12263	21604	10974
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
Total Séries éliminatoires	194	91	103	0	0	0	0	0	621	631	-10	98	49	49	0	0	0	0	0	323	292	31	96	42	54	0	0	0	0	0	298	339	-41	182	621	1101	1722	3	6	11	206	208	184	6161	129	1933	2070	1850	6321	1896	2635	4336	878	152	17.31%	948	184	80.59%	15	3448	6788	50.80%	3561	6944	51.28%	1612	3191	50.52%	4668	3110	6422	2372	2711	1352

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%	HT	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	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	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	0.65
4	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	0.74
5	Martin St-Louis	70	23	45	68	0	19	48	141	243	9.47%	22	1552	22.17	7	14	21	53	0	2	2	1	7	2	46.27%	1	0.88

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	Kari Lehtonen	22	8	13	1	0.886	3.54	1305	4	0	77	674	0	0	0
4	Miikka Kiprusoff	13	7	5	1	0.926	2.64	797	2	0	35	475	192	1	0
5	Adin Hill	12	6	5	1	0.880	3.85	654	2	0	42	349	0	0	0