Milwaukee Admirals
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Client Web pour la formation
Client Web pour les lignes

Centre de jeu
	Tampa Bay Lightning 14-9-1, 29pts	4	FINAL	2	Nashville Predators 19-6-0, 38pts

Team Stats
L1	Séquence	W1
8-5-0	Fiche domicile	9-4-0
6-4-1	Fiche visiteur	10-2-0
6-4-0	Derniers 10 matchs	9-1-0
3.25	Buts par match	3.32
3.00	Buts contre par match	2.20
18.35%	Pourcentage en avantage numérique	22.92%
82.14%	Pourcentage en désavantage numérique	93.00%

Nashville Predators
19-6-0, 38pts

FINAL

Minnesota Wild
15-8-1, 31pts

Team Stats
W1	Séquence	L1
9-4-0	Fiche domicile	8-2-0
10-2-0	Fiche visiteur	7-6-1
9-1-0	Derniers 10 matchs	7-3-0
3.32	Buts par match	3.63
2.20	Buts contre par match	2.79
22.92%	Pourcentage en avantage numérique	23.64%
93.00%	Pourcentage en désavantage numérique	83.76%

Nashville Predators
19-6-0, 38pts

Jour 62

Toronto Maple Leafs
14-7-3, 31pts

Statistiques d’équipe
W1	Séquence	W4
9-4-0	Fiche domicile	9-4-1
10-2-0	Fiche visiteur	5-3-2
9-1-0	10 derniers matchs	8-2-0
3.32	Buts par match	3.75
2.20	Buts contre par match	3.75
22.92%	Pourcentage en avantage numérique	21.11%
93.00%	Pourcentage en désavantage numérique	78.13%

Nashville Predators
19-6-0, 38pts

Jour 63

Montreal Canadiens
15-7-2, 32pts

Statistiques d’équipe
W1	Séquence	W1
9-4-0	Fiche domicile	11-1-0
10-2-0	Fiche visiteur	4-6-2
9-1-0	10 derniers matchs	5-4-1
3.32	Buts par match	3.75
2.20	Buts contre par match	3.75
22.92%	Pourcentage en avantage numérique	25.00%
93.00%	Pourcentage en désavantage numérique	80.00%

Nashville Predators
19-6-0, 38pts

Jour 65

Ottawa Senators
16-8-0, 32pts

Statistiques d’équipe
W1	Séquence	OTW1
9-4-0	Fiche domicile	7-5-0
10-2-0	Fiche visiteur	9-3-0
9-1-0	10 derniers matchs	8-2-0
3.32	Buts par match	3.88
2.20	Buts contre par match	3.88
22.92%	Pourcentage en avantage numérique	29.09%
93.00%	Pourcentage en désavantage numérique	87.96%

Meneurs d'équipe
	Buts Connor McDavid 16	Passes Alex Pietrangelo 20

	Points Connor McDavid 33	Plus/Moins Adam Pelech 15

	Victoires Connor Hellebuyck 18	Pourcentage d’arrêts Connor Hellebuyck 0.923

Statistiques d’équipe
Buts pour 83 3.32 GFG	Tirs pour 804 32.16 Avg	Pourcentage en avantage numérique 22.9% 22 GF	Début de zone offensive 41.9%
Buts contre 55 2.20 GAA	Tirs contre 702 28.08 Avg	Pourcentage en désavantage numérique 93.0%% 7 GA	Début de la zone défensive 40.6%

Informations de l'équipe
	Directeur général	Kevin Forand
	Entraîneur	Paul Maurice
	Division	Central
	Conférence	Western Conference
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Sommet Center
	Capacité	16,036
	Assistance	14,183
	Billets de saison	6,414
Informations de la formation
	Équipe Pro	22
	Équipe Mineure	3
	Limite contact	25 / 250
	Espoirs	44
Plafond salarial
	Cap Salarial de la Saison estimé	83,604,866$
	Plafond salarial disponible	-104,866$
	Valeur du plafond salarial spécial	7,850,000$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	20,377,567$
	Dépenses annuelles à ce jour	24,377,027$
	Revenus de la saison estimés	43,890,144$
	Dépenses de la saison estimées	56,833,217$
	Compte bancaire actuel	-1,694,206$
	Compte bancaire projeté	-12,641,243$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Scott Laughton	X	X			100.00	78	38	76	71	76	87	90	70	78	73	68	85	69	76	73	66	66	0	0	30	2	2,750,000$
2	Colton Sissons	X	X	X		100.00	76	35	89	68	77	87	90	67	83	69	66	88	65	77	73	55	78	0	0	30	1	2,775,000$
3	Nathan MacKinnon	X		X		100.00	66	35	85	91	74	93	89	90	75	95	91	67	92	78	80	74	78	0	0	29	2	16,500,000$
4	Barclay Goodrow	X	X	X		100.00	76	78	74	67	82	80	90	64	80	65	60	84	62	76	73	34	78	0	0	31	1	850,000$
5	Connor McDavid	X				100.00	72	35	87	92	76	92	89	90	82	95	91	75	92	73	90	78	78	0	0	27	1	13,000,000$
6	Mikko Rantanen	X	X	X		100.00	68	38	74	84	89	93	90	88	82	86	91	67	89	73	75	71	78	0	0	27	1	6,000,000$
7	Miles Wood		X	X		100.00	73	48	71	74	79	81	88	68	55	67	65	66	64	72	71	50	60	0	0	29	1	2,500,000$
8	Eeli Tolvanen		X	X		100.00	79	34	92	74	69	86	87	73	56	71	72	66	74	67	70	75	78	0	0	25	4	1,450,000$
9	Taylor Raddysh			X		100.00	71	37	92	67	83	87	89	64	58	65	66	67	63	68	69	66	45	0	0	26	2	775,000$
10	Tanner Jeannot		X	X		100.00	92	83	65	66	84	82	85	64	57	63	61	74	62	68	70	37	68	0	0	27	2	3,500,000$
11	Noah Cates	X	X			100.00	70	36	95	67	79	89	87	66	74	71	64	87	66	65	68	55	69	0	0	25	1	925,000$
12	Dylan Guenther (R)			X		100.00	65	39	87	73	75	88	80	72	71	69	70	64	73	61	65	86	78	0	0	21	3	925,000$
13	Trevor van Riemsdyk				X	100.00	60	39	94	63	82	89	87	61	30	73	58	86	50	79	73	26	66	0	0	33	3	1,000,000$
14	Robert Bortuzzo				X	100.00	74	72	74	63	90	82	72	58	30	60	55	81	48	79	75	33	60	0	0	35	1	950,000$
15	Alex Pietrangelo				X	100.00	68	37	91	75	86	94	86	73	30	84	68	94	56	87	77	47	78	0	0	34	4	8,000,000$
16	Brendan Smith				X	100.00	76	74	71	62	80	86	83	60	30	68	57	85	49	81	75	41	53	0	0	35	2	1,000,000$
17	Adam Pelech				X	100.00	71	40	83	67	85	91	82	62	30	75	60	90	51	73	71	53	78	0	0	30	2	5,750,000$
18	Olen Zellweger (R)				X	100.00	59	36	91	73	66	90	72	69	30	70	62	63	53	61	64	77	78	0	0	21	3	867,500$
Rayé
1	Lawson Crouse		X	X		88.17	81	77	86	75	89	88	89	74	56	70	75	83	72	71	70	73	48	0	0	27	1	1,350,000$
2	Gustav Forsling				X	77.73	71	38	84	70	73	93	90	69	30	78	71	90	56	70	72	49	66	0	0	28	1	700,000$
Équipe Mineure
1	Jakub Lauko (R)	X				100.00	79	45	74	66	76	78	82	64	67	62	60	63	66	64	65	62	46	0	0	24	2	775,000$
2	Scott Harrington				X	100.00	40	35	40	62	35	80	90	40	20	40	40	40	30	71	73	11	50	0	0	31	2	1,999,999$

	MOYENNE D’ÉQUIPE					98.45	71	47	81	71	78	87	86	68	55	71	67	76	64	72	72	55	67	0

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Connor Hellebuyck	100.00	89	99	89	88	90	95	97	96	97	83	97	82	85	54	81	0	0	31	3	4,500,000$
2	Antti Raanta	100.00	80	94	75	73	81	78	79	79	79	66	83	78	89	43	81	0	0	35	2	1,750,000$
Rayé
Équipe Mineure
1	Anton Forsberg	100.00	74	77	76	82	75	76	76	76	77	63	87	74	85	53	50	0	0	31	2	700,000$

	MOYENNE D’ÉQUIPE	100.00	81	90	80	81	82	83	84	84	84	71	89	78	86	50	71	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Paul Maurice	89	90	92	80	85	79	62	CAN	57	1	3,906,250$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	S1	S2	S3
1	Connor McDavid	Nashville Predators	C	25	16	17	33	3	2	21	77	145	33	81	11.03%	2	505	20.23	3	7	10	24	83	0	0	0	0	0	4	1	53.46%	651	0	0	1.31	1	1	5	4	1
2	Nathan MacKinnon	Nashville Predators	C/RW	25	14	17	31	13	4	23	61	110	32	84	12.73%	2	503	20.16	3	4	7	22	88	0	0	0	1	5	4	1	50.20%	488	0	1	1.23	0	1	1	4	5
3	Alex Pietrangelo	Nashville Predators	D	25	4	20	24	5	12	28	38	49	17	35	8.16%	33	512	20.49	4	7	11	34	82	0	0	0	0	39	1	0	0%	0	0	0	0.94	0	0	2	1	2
4	Mikko Rantanen	Nashville Predators	C/LW/RW	25	13	11	24	10	20	48	42	88	27	72	14.77%	3	496	19.87	5	2	7	20	89	0	0	0	0	3	2	2	54.88%	82	0	1	0.97	0	1	4	0	1
5	Gustav Forsling	Nashville Predators	D	24	4	15	19	12	26	45	33	38	13	29	10.53%	34	528	22.04	3	4	7	20	68	0	1	1	0	71	2	0	0%	0	0	0	0.72	0	0	2	1	1
6	Adam Pelech	Nashville Predators	D	25	4	11	15	15	26	44	35	32	8	14	12.50%	32	567	22.68	1	3	4	15	74	0	1	1	0	93	1	1	0%	0	0	0	0.53	0	0	0	2	1
7	Lawson Crouse	Nashville Predators	LW/RW	14	6	8	14	9	6	33	18	51	18	41	11.76%	6	267	19.13	1	3	4	12	42	0	0	0	2	10	1	0	36.00%	25	0	0	1.05	0	0	0	2	1
8	Eeli Tolvanen	Nashville Predators	LW/RW	25	3	8	11	0	10	23	19	63	8	32	4.76%	1	467	18.71	1	2	3	15	68	0	0	0	0	0	1	0	53.57%	28	0	0	0.47	0	0	0	0	1
9	Trevor van Riemsdyk	Nashville Predators	D	23	2	8	10	-7	10	24	32	17	5	12	11.76%	32	485	21.12	0	0	0	2	4	0	1	1	0	78	0	0	0%	0	0	0	0.41	0	0	0	0	0
10	Colton Sissons	Nashville Predators	C/LW/RW	25	3	5	8	0	10	18	59	51	9	40	5.88%	4	375	15.00	0	1	1	6	42	1	0	1	3	89	0	0	54.68%	481	0	0	0.43	0	0	0	0	1
11	Dylan Guenther	Nashville Predators	RW	25	4	4	8	1	4	17	12	31	7	25	12.90%	2	323	12.93	1	1	2	5	24	0	0	0	0	0	1	0	73.33%	15	0	0	0.49	0	0	0	0	1
12	Noah Cates	Nashville Predators	C/LW	21	4	3	7	8	6	10	25	37	16	23	10.81%	6	354	16.88	0	0	0	0	4	0	1	1	0	66	0	0	48.00%	25	0	0	0.40	0	0	1	0	1
13	Olen Zellweger	Nashville Predators	D	25	0	6	6	2	10	14	7	14	9	10	0%	14	367	14.68	0	3	3	5	82	0	0	0	0	2	0	0	0%	0	0	0	0.33	0	0	0	0	1
14	Scott Laughton	Nashville Predators	C/LW	23	3	1	4	-5	8	22	34	19	5	15	15.79%	3	330	14.35	0	0	0	0	27	0	0	0	0	51	0	0	55.02%	229	1	0	0.24	0	0	1	0	0
15	Brendan Smith	Nashville Predators	D	19	2	2	4	-8	26	56	12	13	4	4	15.38%	21	387	20.37	0	0	0	0	0	0	0	0	0	42	1	0	0%	0	0	0	0.21	0	0	1	1	0
16	Barclay Goodrow	Nashville Predators	C/LW/RW	25	1	2	3	-4	6	24	25	15	5	14	6.67%	2	254	10.16	0	0	0	0	1	1	0	1	2	84	0	0	51.98%	252	0	0	0.24	0	0	0	1	0
17	Miles Wood	Nashville Predators	LW/RW	26	1	2	3	-3	2	10	7	10	4	7	10.00%	0	124	4.78	0	0	0	0	0	0	0	0	0	2	0	0	20.00%	10	0	0	0.48	0	0	0	0	0
18	Robert Bortuzzo	Nashville Predators	D	9	0	2	2	3	12	21	11	6	5	3	0%	16	157	17.46	0	0	0	0	2	0	0	0	0	29	0	0	0%	0	0	0	0.25	0	0	0	0	0
19	Tanner Jeannot	Nashville Predators	LW/RW	25	1	1	2	1	22	40	11	20	9	9	5.00%	0	271	10.85	0	0	0	0	0	0	0	0	1	45	0	0	65.00%	20	0	0	0.15	0	0	0	0	0
20	Jakub Lauko	Milwaukee Admirals (NAS)	C	4	0	0	0	-1	2	3	1	0	0	0	0%	0	16	4.20	0	0	0	0	0	0	0	0	0	0	0	0	47.37%	19	0	0	0	0	0	0	0	0
21	Taylor Raddysh	Nashville Predators	RW	11	0	0	0	-1	0	1	2	3	3	4	0%	0	76	6.92	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	6	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				449	85	143	228	53	224	525	561	812	237	554	10.47%	213	7372	16.42	22	37	59	180	787	2	4	6	9	717	18	5	52.85%	2331	1	2	0.62	1	3	17	16	17

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	PCT	GAA	MP	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Connor Hellebuyck	Nashville Predators	24	18	6	0.923	2.16	1443	2	52	671	3	1	1.000	3	24	1	3	1	2
2	Antti Raanta	Nashville Predators	1	1	0	0.933	2.00	60	0	2	30	0	0	0	0	1	24	0	0	0
Statistiques d’équipe totales ou en moyenne			25	19	6	0.923	2.16	1503	2	54	701	3	1		3	25	25	3	1	2

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	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10	Lien
Adam Pelech	Nashville Predators	D	30	1994-08-16	CAN	No	210 Lbs	6 ft3	No	No	N/A		No	No	2		False	False	Pro & Farm	5,750,000$	3,998,731$	5,750,000$	3,998,731$	No	5,750,000$	-	-	-	-	-	-	-	-	5,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Alex Pietrangelo	Nashville Predators	D	34	1990-01-18	CAN	No	215 Lbs	6 ft3	No	No	Trade	2023-12-23	No	No	4	2023-12-23	False	False	Pro & Farm	8,000,000$	5,563,452$	8,000,000$	5,563,452$	No	8,000,000$	8,000,000$	8,000,000$	-	-	-	-	-	-	8,000,000$	8,000,000$	8,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Antti Raanta	Nashville Predators	G	35	1989-05-12	FIN	No	195 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	1,750,000$	1,217,005$	1,750,000$	1,217,005$	No	1,750,000$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Barclay Goodrow	Nashville Predators	C/LW/RW	31	1993-02-26	CAN	No	209 Lbs	6 ft2	No	No	Trade	2024-02-19	No	No	1		False	False	Pro & Farm	850,000$	591,117$	850,000$	591,117$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Brendan Smith	Nashville Predators	D	35	1989-02-08	CAN	No	200 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	1,000,000$	695,431$	1,000,000$	695,431$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Colton Sissons	Nashville Predators	C/LW/RW	30	1993-11-05	CAN	No	200 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	2,775,000$	1,929,822$	2,775,000$	1,929,822$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Connor Hellebuyck	Nashville Predators	G	31	1993-05-19	USA	No	207 Lbs	6 ft4	No	No	N/A		No	No	3		False	False	Pro & Farm	4,500,000$	3,129,442$	4,500,000$	3,129,442$	No	4,500,000$	4,500,000$	-	-	-	-	-	-	-	4,500,000$	4,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Connor McDavid	Nashville Predators	C	27	1997-01-13	CAN	No	194 Lbs	6 ft1	No	No	Trade	2023-12-30	No	No	1		False	False	Pro & Farm	13,000,000$	9,040,609$	13,000,000$	9,040,609$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Dylan Guenther	Nashville Predators	RW	21	2003-04-10	CAN	Yes	175 Lbs	6 ft2	No	No	Assign Manually		No	No	3	2024-08-20	False	False	Pro & Farm	925,000$	643,274$	925,000$	643,274$	No	925,000$	925,000$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Eeli Tolvanen	Nashville Predators	LW/RW	25	1999-04-22	FIN	No	191 Lbs	5 ft10	No	No	Trade	2024-02-19	No	No	4	2024-05-19	False	False	Pro & Farm	1,450,000$	1,008,376$	1,450,000$	1,008,376$	No	1,450,000$	1,450,000$	1,450,000$	-	-	-	-	-	-	1,450,000$	1,450,000$	1,450,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Gustav Forsling (sur la masse salariale)	Nashville Predators	D	28	1996-06-12	SWE	No	195 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	700,000$	486,802$	0$	0$	Yes	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Lawson Crouse (sur la masse salariale)	Nashville Predators	LW/RW	27	1997-06-23	CAN	No	215 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	1,350,000$	938,832$	0$	0$	Yes	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Mikko Rantanen	Nashville Predators	C/LW/RW	27	1996-10-29	FIN	No	215 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	6,000,000$	4,172,589$	6,000,000$	4,172,589$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Miles Wood	Nashville Predators	LW/RW	29	1995-09-13	USA	No	195 Lbs	6 ft2	No	No	Trade	2024-09-27	No	No	1		False	False	Pro & Farm	2,500,000$	1,738,579$	2,500,000$	1,738,579$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Nathan MacKinnon	Nashville Predators	C/RW	29	1995-09-01	CAN	No	200 Lbs	6 ft0	No	No	N/A		No	No	2	2024-05-20	False	False	Pro & Farm	16,500,000$	11,474,619$	16,500,000$	11,474,619$	No	16,500,000$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Noah Cates	Nashville Predators	C/LW	25	1999-02-05	USA	No	194 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	643,274$	925,000$	643,274$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Olen Zellweger	Nashville Predators	D	21	2003-09-10	CAN	Yes	182 Lbs	5 ft9	No	No	Assign Manually		No	No	3	2024-08-20	False	False	Pro & Farm	867,500$	603,287$	867,500$	603,287$	No	867,500$	867,500$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Robert Bortuzzo	Nashville Predators	D	35	1989-07-28	CAN	No	216 Lbs	6 ft4	No	No	Trade	2024-01-05	No	No	1		False	False	Pro & Farm	950,000$	660,660$	950,000$	660,660$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Scott Laughton	Nashville Predators	C/LW	30	1994-05-30	CAN	No	191 Lbs	6 ft1	No	No	Trade	2024-10-29	No	No	2		False	False	Pro & Farm	2,750,000$	1,912,437$	2,750,000$	1,912,437$	No	2,750,000$	-	-	-	-	-	-	-	-	2,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Tanner Jeannot	Nashville Predators	LW/RW	27	1997-05-29	CAN	No	220 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	3,500,000$	2,434,010$	3,500,000$	2,434,010$	No	3,500,000$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Taylor Raddysh	Nashville Predators	RW	26	1998-02-18	CAN	No	198 Lbs	6 ft3	No	No	Trade	2024-08-14	No	No	2		False	False	Pro & Farm	775,000$	538,959$	775,000$	538,959$	No	775,000$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Trevor van Riemsdyk	Nashville Predators	D	33	1991-07-24	USA	No	191 Lbs	6 ft3	No	No	N/A		No	No	3		False	False	Pro & Farm	1,000,000$	695,431$	1,000,000$	695,431$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	28.91	200 Lbs	6 ft2	1.95	3,537,159$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
77,817,500$	48,767,500$	16,742,500$	9,450,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Noah Cates	Nathan MacKinnon	Mikko Rantanen	38	0	2	3
2	Scott Laughton	Connor McDavid	Eeli Tolvanen	38	0	2	3
3	Tanner Jeannot	Colton Sissons	Dylan Guenther	19	1	3	1
4	Miles Wood	Barclay Goodrow	Taylor Raddysh	5	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brendan Smith	Alex Pietrangelo	33	0	3	2
2	Adam Pelech	Trevor van Riemsdyk	32	0	3	2
3	Robert Bortuzzo	Olen Zellweger	20	0	3	2
4	Brendan Smith	Robert Bortuzzo	15	1	3	1

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Mikko Rantanen	Nathan MacKinnon	Dylan Guenther	55	0	1	4
2	Noah Cates	Connor McDavid	Eeli Tolvanen	45	0	1	4

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Olen Zellweger	Alex Pietrangelo	50	0	2	3
2	Adam Pelech	Trevor van Riemsdyk	50	0	2	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Colton Sissons	Noah Cates	50	1	3	1
2	Barclay Goodrow	Scott Laughton	50	1	3	1

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Robert Bortuzzo	Brendan Smith	50	1	3	1
2	Adam Pelech	Trevor van Riemsdyk	50	1	3	1

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Colton Sissons	50	0	5	0	Robert Bortuzzo	Adam Pelech	50	0	5	0
2	Barclay Goodrow	50	0	5	0	Brendan Smith	Alex Pietrangelo	50	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nathan MacKinnon	Mikko Rantanen	50	0	2	3
2	Connor McDavid	Dylan Guenther	50	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brendan Smith	Alex Pietrangelo	50	1	2	2
2	Olen Zellweger	Robert Bortuzzo	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Mikko Rantanen	Connor McDavid	Nathan MacKinnon	Trevor van Riemsdyk	Alex Pietrangelo

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Noah Cates	Colton Sissons	Barclay Goodrow	Robert Bortuzzo	Adam Pelech

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Connor McDavid, Nathan MacKinnon, Mikko Rantanen	Mikko Rantanen, Connor McDavid	Scott Laughton

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Olen Zellweger, Alex Pietrangelo, Trevor van Riemsdyk	Robert Bortuzzo	Adam Pelech, Robert Bortuzzo

Tirs de pénalité
Nathan MacKinnon, Connor McDavid, Mikko Rantanen, Dylan Guenther, Eeli Tolvanen

Gardien
#1 : Connor Hellebuyck, #2 : Antti Raanta

Lignes d’attaque personnalisées en prolongation
Nathan MacKinnon, Connor McDavid, Mikko Rantanen, Noah Cates, Eeli Tolvanen, Dylan Guenther, Dylan Guenther, Scott Laughton, Colton Sissons, Barclay Goodrow, Tanner Jeannot

Lignes de défense personnalisées en prolongation
Alex Pietrangelo, Trevor van Riemsdyk, Adam Pelech, Robert Bortuzzo, Olen Zellweger

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	Boston Bruins	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	0	1	1	0	34	11	12	11	0	38	14	16	18	2	1	50.00%	8	0	100.00%	0	460	904	50.88%	466	875	53.26%	217	377	57.56%	22	14	24	7	12	6
2	Calgary Flames	1	0	0	0	1	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	5	4	1	2	1.000	5	10	15	0	0	2	1	1	1	37	12	18	6	1	38	10	8	26	3	1	33.33%	3	0	100.00%	0	460	904	50.88%	466	875	53.26%	217	377	57.56%	24	15	22	7	13	6
3	Chicago Blackhawks	1	1	0	0	0	0	0	0	6	1	5	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	1	5	2	1.000	6	9	15	0	0	2	4	0	0	31	11	9	11	0	25	11	6	15	4	2	50.00%	3	0	100.00%	0	460	904	50.88%	466	875	53.26%	217	377	57.56%	26	18	21	7	12	6
4	Colorado Avalanche	2	1	0	0	0	0	1	0	9	7	2	1	1	0	0	0	0	0	0	4	3	1	1	0	0	0	0	0	1	0	5	4	1	4	1.000	9	14	23	0	0	2	3	3	1	63	26	14	17	9	64	17	22	45	8	3	37.50%	9	0	100.00%	1	460	904	50.88%	466	875	53.26%	217	377	57.56%	53	38	46	14	25	13
5	Columbus Blue Jackets	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	1	1	1	0	41	16	11	14	0	33	10	6	13	5	2	40.00%	3	0	100.00%	0	460	904	50.88%	466	875	53.26%	217	377	57.56%	24	18	23	6	11	5
6	Dallas Stars	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	0	1	0	31	15	7	9	0	35	8	8	33	0	0	0%	4	2	50.00%	0	460	904	50.88%	466	875	53.26%	217	377	57.56%	22	15	24	7	12	5
7	Detroit Red Wings	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	4	1	3	4	1.000	7	13	20	0	0	3	2	2	0	60	30	14	16	0	58	16	20	47	9	2	22.22%	9	0	100.00%	0	460	904	50.88%	466	875	53.26%	217	377	57.56%	46	30	46	15	26	12
8	Edmonton Oilers	3	3	0	0	0	0	0	0	16	6	10	2	2	0	0	0	0	0	0	11	4	7	1	1	0	0	0	0	0	0	5	2	3	6	1.000	16	27	43	0	0	7	3	6	0	99	39	28	32	0	76	30	26	63	9	2	22.22%	13	1	92.31%	1	460	904	50.88%	466	875	53.26%	217	377	57.56%	76	52	63	21	40	21
9	Florida Panthers	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	1	2	3	0	0	0	1	0	0	24	3	16	5	0	26	7	10	22	1	0	0.00%	5	1	80.00%	0	460	904	50.88%	466	875	53.26%	217	377	57.56%	24	15	21	7	13	6
10	Los Angeles Kings	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	0	2	1	0	39	17	11	11	0	21	8	10	19	3	1	33.33%	4	0	100.00%	0	460	904	50.88%	466	875	53.26%	217	377	57.56%	25	18	22	6	11	5
11	Minnesota Wild	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	3	5	0	0	1	1	0	0	32	13	6	13	0	23	12	10	17	6	1	16.67%	5	0	100.00%	0	460	904	50.88%	466	875	53.26%	217	377	57.56%	23	16	22	7	13	6
12	New Jersey Devils	1	1	0	0	0	0	0	0	3	0	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	0	3	2	1.000	3	5	8	0	1	2	1	0	0	38	18	11	9	0	26	7	6	23	8	1	12.50%	2	0	100.00%	0	460	904	50.88%	466	875	53.26%	217	377	57.56%	24	17	23	7	11	6
13	Philadelphia Flyers	1	0	0	0	1	0	0	0	2	1	1	1	0	0	0	1	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	3	5	0	0	0	1	0	1	25	11	10	2	2	38	14	18	17	2	0	0.00%	8	1	87.50%	0	460	904	50.88%	466	875	53.26%	217	377	57.56%	20	13	29	8	11	5
14	Seattle Kraken	2	2	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	2	1	1	4	1.000	4	6	10	0	1	2	0	2	0	52	24	15	13	0	40	11	16	57	12	2	16.67%	7	0	100.00%	0	460	904	50.88%	466	875	53.26%	217	377	57.56%	49	34	43	15	26	13
15	Tampa Bay Lightning	2	1	1	0	0	0	0	0	8	5	3	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	6	1	5	2	0.500	8	15	23	1	0	4	2	2	0	68	18	25	25	0	62	14	12	31	12	2	16.67%	6	1	83.33%	0	460	904	50.88%	466	875	53.26%	217	377	57.56%	49	36	46	15	24	11
16	Utah Hockey Club	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	2	4	0	0	0	1	1	0	17	1	8	8	0	30	10	6	17	0	0	0%	3	0	100.00%	0	460	904	50.88%	466	875	53.26%	217	377	57.56%	18	11	26	7	15	7
17	Vancouver Canucks	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	2	1	0	0	30	13	9	8	0	25	4	8	15	2	0	0.00%	3	0	100.00%	0	460	904	50.88%	466	875	53.26%	217	377	57.56%	26	19	22	6	11	5
18	Washington Capitals	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	1	2	0	0	1	0	0	0	41	17	10	14	0	28	5	6	26	3	1	33.33%	3	1	66.67%	0	460	904	50.88%	466	875	53.26%	217	377	57.56%	22	15	25	6	12	6
19	Winnipeg Jets	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	2	1	1	0	42	13	11	18	0	16	5	4	21	7	1	14.29%	2	0	100.00%	0	460	904	50.88%	466	875	53.26%	217	377	57.56%	26	19	20	7	12	7
	Total	25	16	6	0	2	0	1	0	83	55	28	13	8	4	0	1	0	0	0	40	29	11	12	8	2	0	1	0	1	0	43	26	17	38	0.760	83	143	226	1	2	32	26	22	3	804	308	245	242	12	702	213	218	525	96	22	22.92%	100	7	93.00%	2	460	904	50.88%	466	875	53.26%	217	377	57.56%	608	423	576	185	321	162
	_Since Last GM Reset	25	16	6	0	2	0	1	0	83	55	28	13	8	4	0	1	0	0	0	40	29	11	12	8	2	0	1	0	1	0	43	26	17	38	0.760	83	143	226	1	2	32	26	22	3	804	308	245	242	12	702	213	218	525	96	22	22.92%	100	7	93.00%	2	460	904	50.88%	466	875	53.26%	217	377	57.56%	608	423	576	185	321	162
	_Vs Conference	15	11	2	0	1	0	1	0	56	32	24	8	6	2	0	0	0	0	0	28	17	11	7	5	0	0	1	0	1	0	28	15	13	26	0.867	56	94	150	0	1	21	17	16	2	473	184	136	146	10	393	126	124	328	54	13	24.07%	56	3	94.64%	2	460	904	50.88%	466	875	53.26%	217	377	57.56%	372	259	336	110	196	100
	_Vs Division	7	4	2	0	0	0	1	0	25	17	8	4	2	2	0	0	0	0	0	12	11	1	3	2	0	0	0	0	1	0	13	6	7	10	0.714	25	39	64	0	0	8	10	6	1	216	79	55	76	9	193	63	56	148	25	7	28.00%	26	2	92.31%	1	460	904	50.88%	466	875	53.26%	217	377	57.56%	170	118	161	51	92	47

			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
25	38	W1	83	143	226	804	702	213	218	525	1	2

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
25	16	6	2	0	1	0	83	55

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	8	4	1	0	0	0	40	29

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	8	2	1	0	1	0	43	26

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
6	1	2	0	1	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
96	22	22.92%	100	7	93.00%	2

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
308	245	242	12	32	26	22	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
460	904	50.88%	466	875	53.26%	217	377	57.56%

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
608	423	576	185	321	162

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
7	17	Dallas Stars	4	Nashville Predators	2	L			Sommaire du match
9	28	Nashville Predators	4	Detroit Red Wings	1	W			Sommaire du match
12	53	Seattle Kraken	0	Nashville Predators	2	W			Sommaire du match
14	69	Edmonton Oilers	3	Nashville Predators	7	W			Sommaire du match
16	76	Detroit Red Wings	2	Nashville Predators	3	W			Sommaire du match
19	101	Boston Bruins	4	Nashville Predators	2	L			Sommaire du match
22	120	Nashville Predators	6	Chicago Blackhawks	1	W			Sommaire du match
23	131	Columbus Blue Jackets	1	Nashville Predators	3	W			Sommaire du match
25	141	Nashville Predators	6	Tampa Bay Lightning	1	W			Sommaire du match
28	166	Edmonton Oilers	1	Nashville Predators	4	W			Sommaire du match
30	182	Colorado Avalanche	3	Nashville Predators	4	W			Sommaire du match
32	192	Los Angeles Kings	2	Nashville Predators	3	W			Sommaire du match
34	205	Nashville Predators	1	Washington Capitals	4	L			Sommaire du match
35	211	Nashville Predators	1	Florida Panthers	5	L			Sommaire du match
37	232	Utah Hockey Club	3	Nashville Predators	2	L			Sommaire du match
39	243	Nashville Predators	5	Colorado Avalanche	4	W	X	X	Sommaire du match
42	264	Nashville Predators	5	Edmonton Oilers	2	W			Sommaire du match
43	269	Nashville Predators	5	Calgary Flames	4	W	X		Sommaire du match
45	285	Nashville Predators	3	Vancouver Canucks	2	W			Sommaire du match
48	304	Nashville Predators	2	Seattle Kraken	1	W			Sommaire du match
51	329	Winnipeg Jets	1	Nashville Predators	4	W			Sommaire du match
53	336	Nashville Predators	3	New Jersey Devils	0	W			Sommaire du match
55	356	Philadelphia Flyers	1	Nashville Predators	2	W	X		Sommaire du match
57	369	Tampa Bay Lightning	4	Nashville Predators	2	L			Sommaire du match
58	384	Nashville Predators	2	Minnesota Wild	1	W			Sommaire du match
62	406	Nashville Predators	-	Toronto Maple Leafs	-
63	411	Nashville Predators	-	Montreal Canadiens	-
65	431	Nashville Predators	-	Ottawa Senators	-
68	451	Calgary Flames	-	Nashville Predators	-
70	466	Nashville Predators	-	Dallas Stars	-
72	484	Nashville Predators	-	Colorado Avalanche	-
75	502	New York Rangers	-	Nashville Predators	-
77	515	Pittsburgh Penguins	-	Nashville Predators	-
79	528	Los Angeles Kings	-	Nashville Predators	-
81	553	Carolina Hurricanes	-	Nashville Predators	-
85	562	Nashville Predators	-	St. Louis Blues	-
88	587	Nashville Predators	-	Winnipeg Jets	-
89	596	Nashville Predators	-	Minnesota Wild	-
92	619	Nashville Predators	-	Vancouver Canucks	-
93	627	Nashville Predators	-	Calgary Flames	-
96	647	Nashville Predators	-	Winnipeg Jets	-
100	679	Washington Capitals	-	Nashville Predators	-
103	701	Vegas Golden Knights	-	Nashville Predators	-
105	714	Chicago Blackhawks	-	Nashville Predators	-
107	733	Minnesota Wild	-	Nashville Predators	-
110	752	San Jose Sharks	-	Nashville Predators	-
112	771	Nashville Predators	-	San Jose Sharks	-
114	787	Nashville Predators	-	Anaheim Ducks	-
118	810	Vancouver Canucks	-	Nashville Predators	-
120	822	Nashville Predators	-	Buffalo Sabres	-
121	830	Nashville Predators	-	Pittsburgh Penguins	-
123	844	Ottawa Senators	-	Nashville Predators	-
127	873	Nashville Predators	-	Chicago Blackhawks	-
128	885	Buffalo Sabres	-	Nashville Predators	-
142	898	Colorado Avalanche	-	Nashville Predators	-
143	911	New Jersey Devils	-	Nashville Predators	-
145	927	Florida Panthers	-	Nashville Predators	-
147	941	Winnipeg Jets	-	Nashville Predators	-
149	949	Nashville Predators	-	New York Islanders	-
150	965	Nashville Predators	-	New York Rangers	-
152	973	Nashville Predators	-	Boston Bruins	-
154	993	Seattle Kraken	-	Nashville Predators	-
156	1009	Chicago Blackhawks	-	Nashville Predators	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
159	1035	Nashville Predators	-	San Jose Sharks	-
162	1053	Nashville Predators	-	Anaheim Ducks	-
163	1064	Nashville Predators	-	Los Angeles Kings	-
166	1082	St. Louis Blues	-	Nashville Predators	-
168	1096	Anaheim Ducks	-	Nashville Predators	-
170	1114	Toronto Maple Leafs	-	Nashville Predators	-
171	1121	Nashville Predators	-	St. Louis Blues	-
173	1132	Nashville Predators	-	Carolina Hurricanes	-
175	1147	St. Louis Blues	-	Nashville Predators	-
177	1163	Vegas Golden Knights	-	Nashville Predators	-
179	1179	Nashville Predators	-	Philadelphia Flyers	-
180	1185	Nashville Predators	-	Columbus Blue Jackets	-
182	1201	Nashville Predators	-	Dallas Stars	-
185	1228	Montreal Canadiens	-	Nashville Predators	-
187	1241	New York Islanders	-	Nashville Predators	-
189	1257	Nashville Predators	-	Utah Hockey Club	-
191	1274	Nashville Predators	-	Vegas Golden Knights	-
193	1288	Utah Hockey Club	-	Nashville Predators	-
195	1304	Dallas Stars	-	Nashville Predators	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	36	4000	1000
Prix des billets	100	60	31	28	205
Assistance	62,447	64,782	468	44,110	12,566
Attendance PCT	80.06%	99.66%	100.00%	84.83%	96.66%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
28	14183 - 88.44%	1,567,505$	20,377,567$	16036	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
24,377,027$	77,817,500$	56,025,000$	3,906,250$0$	7,850,000$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
384,607$	23,063,707$	0$	20	2

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
43,890,144$	137	414,841$	56,833,217$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
57,073,211$	-1,694,206$	-12,641,243$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
83,604,866$	-104,866$	83,500,000$	21,904,866$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Eeli Tolvanen	AGE:25	PO:75	OV:0
Lawson Crouse	AGE:27	PO:73	OV:0
Mikko Rantanen	AGE:27	PO:71	OV:0
Scott Laughton	AGE:30	PO:66	OV:0
Colton Sissons	AGE:30	PO:55	OV:0
Noah Cates	AGE:25	PO:55	OV:0
Miles Wood	AGE:29	PO:50	OV:0
Tanner Jeannot	AGE:27	PO:37	OV:0
Barclay Goodrow	AGE:31	PO:34	OV:0

Connor McDavid	AGE:27	PO:78	OV:0
Nathan MacKinnon	AGE:29	PO:74	OV:0
Mikko Rantanen	AGE:27	PO:71	OV:0
Scott Laughton	AGE:30	PO:66	OV:0
Jakub Lauko (R)	AGE:24	PO:62	OV:0
Colton Sissons	AGE:30	PO:55	OV:0
Noah Cates	AGE:25	PO:55	OV:0
Barclay Goodrow	AGE:31	PO:34	OV:0

Dylan Guenther (R)	AGE:21	PO:86	OV:0
Eeli Tolvanen	AGE:25	PO:75	OV:0
Nathan MacKinnon	AGE:29	PO:74	OV:0
Lawson Crouse	AGE:27	PO:73	OV:0
Mikko Rantanen	AGE:27	PO:71	OV:0
Taylor Raddysh	AGE:26	PO:66	OV:0
Colton Sissons	AGE:30	PO:55	OV:0
Miles Wood	AGE:29	PO:50	OV:0
Tanner Jeannot	AGE:27	PO:37	OV:0
Barclay Goodrow	AGE:31	PO:34	OV:0

Défense #1

Défense #2

Gardien

Olen Zellweger (R)	AGE:21	PO:77	OV:0
Adam Pelech	AGE:30	PO:53	OV:0
Gustav Forsling	AGE:28	PO:49	OV:0
Alex Pietrangelo	AGE:34	PO:47	OV:0

Brendan Smith	AGE:35	PO:41	OV:0
Robert Bortuzzo	AGE:35	PO:33	OV:0
Trevor van Riemsdyk	AGE:33	PO:26	OV:0
Scott Harrington	AGE:31	PO:11	OV:0

Connor Hellebuyck	AGE:31	PO:54	OV:0
Anton Forsberg	AGE:31	PO:53	OV:0
Antti Raanta	AGE:35	PO:43	OV:0

Espoirs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Information	Date de la Dernière Transaction	Lien
AJ Spellacy	Nashville Predators	0	0
Aaron Huglen	Nashville Predators	0	0
Blake McLaughlin	Nashville Predators	0	0
Brodie Ziemer	Nashville Predators	0	0
Bruno Izdan	Nashville Predators	0	0
Carson Bantle	Nashville Predators	0	0
Carter Savoie	Nashville Predators	0	0
Cole Hutson	Nashville Predators	0	0
Darels Uljanskis	Nashville Predators	0	0
Dylan Peterson	Nashville Predators	0	0
Ethan Haider	Nashville Predators	0	0
Ian Moore	Nashville Predators	0	0
Ilya Pautov	Nashville Predators	0	0
Ilya Protas	Nashville Predators	0	0
Joakim Kemell	Nashville Predators	0	0
Joe Vrbetic	Nashville Predators	0	0
Joni Ikonen	Nashville Predators	0	0
Joona Saarelainen	Nashville Predators	0	0
Jorian Donovan	Nashville Predators	0	0
Kaedan Korczak	Nashville Predators	0	0
Kam Hendrickson	Nashville Predators	0	0
Kasper Puutio	Nashville Predators	0	0
Kevin He	Nashville Predators	0	0
Kieron Walton	Nashville Predators	0	0
Liam Gilmartin	Nashville Predators	0	0
Logan Sawyer	Nashville Predators	0	0
Luke Misa	Nashville Predators	0	0
Mac Swansson	Nashville Predators	0	0
Markus Laponen	Nashville Predators	0	0
Matyas Melovsky	Nashville Predators	0	0
Max Veronneau	Nashville Predators	0	0
Michael Vukojevic	Nashville Predators	0	0
Mitch Miller	Nashville Predators	0	0
Nate Misskey	Nashville Predators	0	0
Oscar Back	Nashville Predators	0	0
Ryder Donovan	Nashville Predators	0	0
Samu Salminen	Nashville Predators	0	0
Sasha Pastujov	Nashville Predators	0	0
Sasha Teleguine	Nashville Predators	0	0
Shai Buium	Nashville Predators	0	0
Tanner Howe	Nashville Predators	0	0
Tomas Mazura	Nashville Predators	0	0
Xavier Veilleux	Nashville Predators	0	0
Zayne Parehk	Nashville Predators	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
22	NAS
23	NAS	NAS	NAS		NAS	NAS	NAS
24	NAS	NAS	NAS	NAS	NAS	NAS	NAS
25	NAS	NAS	NAS	NAS	NAS	NAS	NAS
26	NAS	NAS	NAS	NAS	NAS	NAS	NAS
Choix au repêchage conditionnel

La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.

Nashville Predators Historique de transactions

[10/29/2024 8:17:44 PM] - TRADE : From Nashville Predators to San Jose Sharks : Morgan Barron, Y:22-RND:5-LAK, Y:23-RND:4-NAS.
[10/29/2024 8:17:44 PM] - TRADE : From San Jose Sharks to Nashville Predators : Scott Laughton.
[9/27/2024 8:44:36 PM] - TRADE : From St. Louis Blues to Nashville Predators : Miles Wood.
[9/27/2024 8:44:36 PM] - TRADE : From Nashville Predators to St. Louis Blues : Zach Parise.
[9/14/2024 10:28:57 PM] - TRADE : From Nashville Predators to Philadelphia Flyers : Chase Stillman (P).
[9/14/2024 10:28:57 PM] - TRADE : From Philadelphia Flyers to Nashville Predators : Zach Parise.
[9/12/2024 9:43:58 PM] - Talor Joseph was released.
[9/12/2024 9:43:58 PM] - Nashville Predators paid $0 to release Talor Joseph.
[9/12/2024 9:43:51 PM] - Evgeny Svechnikov was released.
[9/12/2024 9:43:51 PM] - Nashville Predators paid $0 to release Evgeny Svechnikov.
[8/21/2024 9:34:11 PM] - Jean-Gabriel Pageau was released.
[8/21/2024 9:34:11 PM] - Nashville Predators paid $0 to release Jean-Gabriel Pageau.
[8/20/2024 8:50:20 PM] - Jakub Lauko has been deleted from Nashville Predators.
[8/20/2024 8:50:08 PM] - Olen Zellweger has been deleted from Nashville Predators.
[8/20/2024 8:49:59 PM] - Dylan Guenther has been deleted from Nashville Predators.
[8/18/2024 1:11:12 PM] - Jakub Lauko was added to Nashville Predators.
[8/18/2024 1:11:04 PM] - Olen Zellweger was added to Nashville Predators.
[8/18/2024 1:10:58 PM] - Dylan Guenther was added to Nashville Predators.
[8/14/2024 9:49:22 PM] - TRADE : From Vancouver Canucks to Nashville Predators : Taylor Raddysh.
[8/14/2024 9:49:22 PM] - TRADE : From Nashville Predators to Vancouver Canucks : Y:22-RND:5-SEA.
[8/10/2024 10:43:57 PM] - Luke Misa has been added to Nashville Predators.

[11/22/2024 7:32:30 AM] Nashville Predators are expected to be over the salary cap by $104,866!
[11/22/2024 7:32:30 AM] Current fund for Nashville Predators is under $0.
[11/21/2024 7:36:43 AM] Nashville Predators are expected to be over the salary cap by $104,866!
[11/21/2024 7:36:43 AM] Current fund for Nashville Predators is under $0.
[11/21/2024 7:34:01 AM] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased.
[11/20/2024 9:42:19 AM] Nashville Predators are expected to be over the salary cap by $104,866!
[11/20/2024 9:42:19 AM] Current fund for Nashville Predators is under $0.
[11/20/2024 9:39:08 AM] Successfully loaded Nashville Predators lines done with Web Base Client from IP:70.81.109.165 .
[11/19/2024 7:37:16 AM] Nashville Predators are expected to be over the salary cap by $104,866!
[11/19/2024 7:37:16 AM] Current fund for Nashville Predators is under $0.
[11/19/2024 7:37:07 AM] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased. But, Nashville Predators lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/19/2024 7:37:07 AM] Game 369 - Gustav Forsling from Nashville Predators is injured (Broken Right Foot Toe) and is out for 2 weeks.
[11/18/2024 8:06:37 AM] Nashville Predators are expected to be over the salary cap by $605,839!
[11/18/2024 8:06:36 AM] Current fund for Nashville Predators is under $0.
[11/18/2024 8:06:13 AM] Trevor van Riemsdyk from Nashville Predators is back from Bruised Right Shoulder Injury.
[11/18/2024 8:06:01 AM] Successfully loaded Nashville Predators lines done with Web Base Client from IP:70.26.233.47 .
[11/18/2024 8:06:01 AM] Taylor Raddysh of Nashville Predators was sent to pro.
[11/18/2024 8:06:01 AM] Robert Bortuzzo of Nashville Predators was sent to pro.
[11/17/2024 9:46:07 AM] Current fund for Nashville Predators is under $0.
[11/16/2024 10:55:49 AM] Current fund for Nashville Predators is under $0.
[11/16/2024 10:55:40 AM] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased. But, Nashville Predators lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/16/2024 10:55:39 AM] Game 336 - Lawson Crouse from Nashville Predators is injured (Separated Right Shoulder) and is out for 2 weeks.
[11/16/2024 10:55:39 AM] Game 336 - Trevor van Riemsdyk from Nashville Predators is injured (Bruised Right Shoulder) and is out for 5 days.
[11/15/2024 7:37:24 AM] Nashville Predators are expected to be over the salary cap by $347,271!
[11/15/2024 7:37:23 AM] Current fund for Nashville Predators is under $0.
[11/14/2024 8:19:23 AM] Nashville Predators are expected to be over the salary cap by $347,271!
[11/14/2024 8:19:23 AM] Current fund for Nashville Predators is under $0.
[11/13/2024 7:32:56 AM] Nashville Predators are expected to be over the salary cap by $347,271!
[11/13/2024 7:32:56 AM] Current fund for Nashville Predators is under $0.
[11/13/2024 7:30:39 AM] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased.
[11/13/2024 7:30:39 AM] Game 353 - Unknown Player from Milwaukee Admirals is injured (Sprained Right Knee) and is out for 2 weeks.
[11/12/2024 7:19:05 AM] Nashville Predators are expected to be over the salary cap by $347,271!
[11/12/2024 7:19:04 AM] Current fund for Nashville Predators is under $0.
[11/10/2024 9:14:49 AM] Nashville Predators are expected to be over the salary cap by $347,271!
[11/10/2024 9:14:48 AM] Current fund for Nashville Predators is under $0.
[11/10/2024 9:14:28 AM] Successfully loaded Nashville Predators lines done with Web Base Client from IP:70.83.94.134 .
[11/10/2024 9:14:28 AM] Taylor Raddysh of Nashville Predators was sent down to farm.
[11/9/2024 10:25:30 AM] Nashville Predators are expected to be over the salary cap by $937,371!
[11/9/2024 10:25:30 AM] Current fund for Nashville Predators is under $0.
[11/9/2024 10:24:20 AM] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased.
[11/8/2024 7:11:47 AM] Nashville Predators are expected to be over the salary cap by $937,371!
[11/8/2024 7:11:46 AM] Current fund for Nashville Predators is under $0.
[11/8/2024 7:11:38 AM] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased.
[11/7/2024 7:21:52 AM] Nashville Predators are expected to be over the salary cap by $937,371!
[11/7/2024 7:21:51 AM] Current fund for Nashville Predators is under $0.
[11/7/2024 7:20:52 AM] Lawson Crouse from Nashville Predators is back from Dislocated Patella Injury.
[11/6/2024 7:21:31 AM] Current fund for Nashville Predators is under $0.
[11/5/2024 7:14:40 AM] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased. But, Nashville Predators lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/5/2024 7:14:27 AM] Successfully loaded Nashville Predators lines done with Web Base Client from IP:76.71.218.54 .
[11/4/2024 7:14:20 AM] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased. But, Nashville Predators lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.

Lawson Crouse est dehors pour 3 jours à cause de Separated Right Shoulder Injury.
Gustav Forsling est dehors pour 1 semaine à cause de Broken Right Foot Toe Injury.

Nashville Predators Leaders statistiques des joueurs (saison régulière)

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

Nashville Predators Leaders des statistiques des gardiens (saison régulière)

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

Nashville Predators Statistiques de l'Équipe de Carrière

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

Nashville Predators Leaders statistiques des joueurs (séries éliminatoires)

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

Nashville Predators Leaders des statistiques des gardiens (séries éliminatoires)

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

	Nashville Predators
	GP: 25 \| W: 19 \| L: 6 \| OTL: 0 \| P: 38 GF: 83 \| GA: 55 \| PP%: 22.92% \| PK%: 93.00% DG: Kevin Forand \| Morale : 71 \| Moyenne d’équipe : N/A Prochains matchs #406 vs Toronto Maple Leafs