LHSRSM - Predators

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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
1	Mika Zibanejad	X				100.00	81	41	84	81	83	87	95	80	84	77	79	76	78	71	73	0	88	74	0
2	Sean Couturier	X				100.00	63	39	82	79	86	88	93	78	88	81	79	84	76	73	72	0	58	74	0
3	Leon Draisaitl	X	X	X		99.00	58	42	80	83	82	89	95	81	83	84	85	69	82	67	69	0	88	74	0
4	Sebastian Aho	X	X			99.00	66	38	85	77	70	86	95	76	79	82	78	71	80	63	69	0	88	72	0
5	Jordan Eberle			X		100.00	58	42	88	77	71	81	91	76	53	74	74	58	75	77	74	0	83	70	0
6	Thomas Vanek		X	X		100.00	58	39	81	74	83	80	78	73	52	75	74	56	77	85	76	0	88	69	0
7	Radek Faksa	X				100.00	76	52	77	70	87	81	94	69	83	68	67	84	71	69	66	0	88	69	0
8	Jesper Fast			X		100.00	83	39	83	67	76	80	79	66	54	68	64	77	65	75	69	0	84	68	0
9	Marcus Foligno		X	X		100.00	89	67	69	64	89	71	95	63	56	65	62	74	63	75	68	0	88	67	0
10	Markus Granlund	X	X	X		100.00	63	37	88	65	70	78	90	64	73	62	66	78	63	71	67	0	88	66	0
11	Drake Caggiula	X	X	X		100.00	86	51	78	66	66	79	73	64	71	63	69	65	67	71	67	0	88	66	0
12	Daniel Carr		X	X		100.00	66	35	93	68	73	78	68	66	58	67	65	63	64	75	68	0	43	65	0
13	Alex Pietrangelo (C)				X	100.00	64	38	86	76	85	91	84	75	30	81	74	89	56	77	86	0	86	74	0
14	Mattias Ekholm				X	100.00	69	45	77	73	88	90	93	71	30	78	69	86	58	77	72	0	83	72	0
15	John Klingberg				X	100.00	59	37	87	78	76	91	79	77	30	88	71	68	63	73	72	0	80	72	0
16	John Moore				X	100.00	81	39	79	65	82	84	74	64	30	70	63	78	52	77	70	0	86	67	0
17	Trevor Daley (A)				X	100.00	55	37	82	66	71	84	57	64	30	67	65	80	53	86	77	0	86	66	0
18	Ryan Graves				X	100.00	80	37	88	65	95	75	70	64	30	63	64	74	52	67	64	0	88	66	0
Rayé
1	Nikolaj Ehlers		X	X		79.94	57	42	86	80	69	81	75	79	53	74	78	61	80	65	67	0	54	70	0

	MOYENNE D'ÉQUIPE					98.84	69	42	83	72	79	83	83	71	56	73	71	73	67	73	71	0	81	70

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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 Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Marc-Andre Fleury	100.00	97	95	93	76	96	95	97	96	95	97	96	85	89	0	67	78	0
2	Jake Allen	98.00	91	91	89	81	90	89	91	90	89	91	90	77	83	0	85	74	0
Rayé

	MOYENNE D'ÉQUIPE	99.00	94	93	91	79	93	92	94	93	92	94	93	81	86	0	76	76

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Paul Maurice	82	86	90	80	78	73	71	CAN	52	3	100,000$

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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	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Mika Zibanejad	Predators	C	79	32	34	66	14	60	0	210	204	304	91	204	10.53%	13	1490	18.87	7	15	22	73	257	0	0	0	2	55	5	2	54.37%	1738	0	0.89	3	8	0	0	0	10	6	5
2	Leon Draisaitl	Predators	C/LW/RW	79	20	45	65	15	14	0	86	155	297	84	245	6.73%	10	1633	20.68	3	14	17	60	297	0	0	0	5	133	1	0	50.71%	493	0	0.80	5	13	0	0	0	1	7	7
3	Alex Pietrangelo	Predators	D	79	18	43	61	-7	57	5	144	132	180	64	111	10.00%	142	1984	25.13	9	14	23	107	290	0	0	0	0	240	2	1	0.00%	0	1	0.61	0	0	0	0	0	6	2	0
4	Sean Couturier	Predators	C	56	21	30	51	10	22	0	101	152	198	48	150	10.61%	15	1174	20.97	3	8	11	33	198	1	0	1	2	136	5	1	52.54%	1494	0	0.87	1	8	0	0	0	6	3	4
5	Mattias Ekholm	Predators	D	77	12	35	47	3	75	15	128	114	126	39	82	9.52%	82	1678	21.80	9	5	14	78	249	0	0	0	0	198	2	1	0.00%	0	0	0.56	0	0	1	0	0	1	0	4
6	Sebastian Aho	Predators	C/LW	79	23	24	47	12	22	0	100	118	212	73	155	10.85%	5	1528	19.35	4	10	14	40	288	0	0	0	0	68	2	1	47.83%	161	0	0.61	2	8	0	0	0	2	4	2
7	Jordan Eberle	Predators	RW	79	14	32	46	23	26	10	48	62	130	42	104	10.77%	6	1387	17.56	4	4	8	25	227	0	0	0	0	17	2	3	42.16%	287	0	0.66	2	5	0	1	1	2	2	1
8	John Klingberg	Predators	D	64	11	32	43	-4	16	0	51	98	108	22	53	10.19%	58	1521	23.77	8	10	18	72	228	0	2	2	1	159	1	1	0.00%	0	0	0.57	0	0	0	0	0	1	1	7
9	John Moore	Predators	D	72	8	28	36	18	61	5	170	76	80	31	53	10.00%	70	1467	20.38	2	8	10	43	229	0	0	0	0	169	3	0	0.00%	0	0	0.49	0	0	0	0	0	0	4	3
10	Nikolaj Ehlers	Predators	LW/RW	53	16	17	33	19	19	5	17	56	148	41	92	10.81%	9	963	18.17	2	4	6	20	170	1	0	1	2	25	5	2	34.52%	84	0	0.69	2	3	0	0	1	2	3	1
11	Radek Faksa	Predators	C	79	15	18	33	-2	34	10	104	158	130	35	110	11.54%	17	1111	14.07	2	5	7	7	74	0	0	0	3	154	5	2	52.63%	1180	0	0.59	1	2	1	1	0	0	6	5
12	Trevor Daley	Predators	D	71	4	28	32	27	16	0	29	70	46	18	36	8.70%	65	1091	15.38	0	1	1	4	17	0	0	0	0	70	1	1	0.00%	0	0	0.59	0	0	0	0	0	3	0	1
13	Jesper Fast	Predators	RW	70	12	10	22	-6	32	0	106	78	106	24	75	11.32%	5	966	13.81	1	2	3	8	51	0	1	1	2	116	2	0	44.78%	67	0	0.46	0	0	0	0	0	0	1	1
14	Markus Granlund	Predators	C/LW/RW	79	11	9	20	3	0	0	10	83	82	20	51	13.41%	12	827	10.47	1	2	3	5	47	0	0	0	1	163	1	1	45.53%	571	0	0.48	0	0	0	0	0	1	1	1
15	Ryan Graves	Predators	D	78	3	17	20	21	58	0	143	41	41	18	23	7.32%	67	1218	15.62	0	0	0	3	37	0	0	0	0	29	0	0	0.00%	0	0	0.33	0	0	0	0	0	0	0	1
16	Thomas Vanek	Predators	LW/RW	79	4	7	11	-8	4	0	16	56	89	34	69	4.49%	0	954	12.08	0	0	0	5	38	0	0	0	0	0	0	0	43.59%	78	0	0.23	0	0	0	0	0	0	1	0
17	Drake Caggiula	Predators	C/LW/RW	79	1	8	9	-2	30	0	56	46	47	13	25	2.13%	1	572	7.24	0	0	0	0	8	0	0	0	0	23	1	0	43.75%	352	0	0.31	0	0	0	0	0	0	1	0
18	Marcus Foligno	Predators	LW/RW	79	5	2	7	2	37	5	81	45	51	11	39	9.80%	4	604	7.65	0	0	0	0	2	0	0	0	1	5	0	0	40.91%	44	0	0.23	0	0	0	0	1	0	0	1
19	Daniel Carr	Predators	LW/RW	36	3	4	7	3	8	0	13	26	31	8	22	9.68%	3	417	11.61	0	0	0	1	11	0	0	0	0	0	1	0	45.45%	88	0	0.34	0	0	0	0	0	1	0	0
20	Joakim Ryan	Admirals (NSH)	D	9	0	2	2	-3	4	0	15	4	2	1	0	0.00%	6	147	16.36	0	0	0	0	2	0	0	0	0	9	0	0	0.00%	0	0	0.27	0	0	0	0	0	0	1	0
21	Adam Erne	Admirals (NSH)	LW/RW	22	0	0	0	1	16	10	35	8	12	3	14	0.00%	2	233	10.62	0	0	0	0	4	0	0	0	0	9	0	0	58.82%	17	0	0.00	0	0	0	1	1	0	0	0
22	Ryan Collins	Admirals (NSH)	D	1	0	0	0	-1	2	0	3	1	0	0	0	0.00%	0	17	17.13	0	0	0	0	2	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1399	233	425	658	138	613	65	1666	1783	2420	720	1713	9.63%	592	22992	16.44	55	102	157	584	2739	2	3	5	19	1787	39	16	50.71%	6654	1	0.57	16	47	2	3	4	36	43	44

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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 Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	PS %	PSA	ST	BG	S1	S2	S3
1	Marc-Andre Fleury	Predators	73	41	22	8	0.901	2.63	4289	10	7	188	1902	2	0.805	41	72	7	9	4	0
2	Jake Allen	Predators	13	6	2	0	0.936	1.50	521	0	3	13	204	0	0.500	2	7	72	2	0	1
Stats d'équipe Total ou en Moyenne			86	47	24	8	0.905	2.51	4810	10	10	201	2106	2	0.791	43	79	79	11	4	1

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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	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Link
Alex Pietrangelo	Predators	D	28	1990-01-18	No	210 Lbs	6 ft3	No	No	No	2	Pro & Farm	6,500,000$	6,500,000$	243,316$	No	6,500,000$						Lien / Lien NHL
Daniel Carr	Predators	LW/RW	26	1991-11-01	No	193 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	750,000$	28,075$	No							Lien / Lien NHL
Drake Caggiula	Predators	C/LW/RW	24	1994-06-20	No	176 Lbs	5 ft10	No	No	No	2	Pro & Farm	1,500,000$	1,500,000$	56,150$	No	1,500,000$						Lien / Lien NHL
Jake Allen	Predators	G	28	1990-08-07	No	203 Lbs	6 ft2	No	No	No	3	Pro & Farm	4,350,000$	4,350,000$	162,834$	No	4,350,000$	4,350,000$					Lien / Lien NHL
Jesper Fast	Predators	RW	26	1991-12-02	No	192 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,850,000$	1,850,000$	69,251$	No	1,850,000$						Lien / Lien NHL
John Klingberg	Predators	D	26	1992-08-14	No	180 Lbs	6 ft2	No	No	No	4	Pro & Farm	4,250,000$	4,250,000$	159,091$	No	4,250,000$	4,250,000$	4,250,000$				Lien / Lien NHL
John Moore	Predators	D	27	1990-11-19	No	210 Lbs	6 ft2	No	No	No	5	Pro & Farm	2,750,000$	2,750,000$	102,941$	No	2,750,000$	2,750,000$	2,750,000$	2,750,000$			Lien / Lien NHL
Jordan Eberle	Predators	RW	28	1990-05-15	No	187 Lbs	5 ft11	No	No	No	1	Pro & Farm	6,000,000$	6,000,000$	224,599$	No							Lien / Lien NHL
Leon Draisaitl	Predators	C/LW/RW	22	1995-10-27	No	208 Lbs	6 ft2	No	No	No	7	Pro & Farm	8,500,000$	8,500,000$	318,182$	No	8,500,000$	8,500,000$	8,500,000$	8,500,000$	8,500,000$	8,500,000$	Lien / Lien NHL
Marc-Andre Fleury	Predators	G	33	1984-11-28	No	180 Lbs	6 ft2	No	No	No	1	Pro & Farm	5,750,000$	5,750,000$	215,241$	No							Lien / Lien NHL
Marcus Foligno	Predators	LW/RW	27	1991-08-10	No	228 Lbs	6 ft3	No	No	No	3	Pro & Farm	2,875,000$	2,875,000$	107,620$	No	2,875,000$	2,875,000$					Lien / Lien NHL
Markus Granlund	Predators	C/LW/RW	25	1993-04-16	No	180 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,475,000$	1,475,000$	55,214$	No							Lien / Lien NHL
Mattias Ekholm	Predators	D	28	1990-05-24	No	215 Lbs	6 ft4	No	No	No	4	Pro & Farm	3,750,000$	3,750,000$	140,374$	No	3,750,000$	3,750,000$	3,750,000$				Lien / Lien NHL
Mika Zibanejad	Predators	C	25	1993-04-18	No	213 Lbs	6 ft2	No	No	No	4	Pro & Farm	5,350,000$	5,350,000$	200,267$	No	5,350,000$	5,350,000$	5,350,000$				Lien / Lien NHL
Nikolaj Ehlers (Sur la Masse Salariale)	Predators	LW/RW	22	1996-02-14	No	172 Lbs	6 ft0	No	No	No	7	Pro & Farm	6,000,000$	0$	0$	Yes	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$	Lien / Lien NHL
Radek Faksa	Predators	C	24	1994-01-09	No	220 Lbs	6 ft3	No	No	No	2	Pro & Farm	2,200,000$	2,200,000$	82,353$	No	2,200,000$						Lien / Lien NHL
Ryan Graves	Predators	D	23	1995-05-21	No	226 Lbs	6 ft5	No	No	No	1	Pro & Farm	650,000$	650,000$	24,332$	No							Lien / Lien NHL
Sean Couturier	Predators	C	25	1992-12-07	No	211 Lbs	6 ft3	No	No	No	4	Pro & Farm	4,333,333$	4,333,333$	162,210$	No	4,333,333$	4,333,333$	4,333,333$				Lien / Lien NHL
Sebastian Aho	Predators	C/LW	21	1997-07-26	No	176 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,775,000$	1,775,000$	66,444$	No							Lien / Lien NHL
Thomas Vanek	Predators	LW/RW	34	1984-01-19	No	214 Lbs	6 ft2	No	No	No	1	Pro & Farm	3,000,000$	3,000,000$	112,299$	No							Lien / Lien NHL
Trevor Daley	Predators	D	35	1983-10-09	No	195 Lbs	5 ft11	No	No	No	2	Pro & Farm	3,166,666$	3,166,666$	118,538$	No	3,166,666$						Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	26.52	199 Lbs	6 ft2	2.76	3,655,952$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
76,774,999$	57,374,999$	42,158,333$	34,933,333$	17,250,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Sebastian Aho	Jordan Eberle	Leon Draisaitl	30	1	1	3
2	Sean Couturier	Mika Zibanejad	Daniel Carr	30	1	1	3
3	Thomas Vanek	Radek Faksa	Jesper Fast	25	1	2	2
4	Marcus Foligno	Drake Caggiula	Markus Granlund	15	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alex Pietrangelo	Mattias Ekholm	32	1	2	2
2	John Klingberg	John Moore	32	1	2	2
3	Trevor Daley	Ryan Graves	25	1	2	2
4	Alex Pietrangelo	John Klingberg	11	0	2	3

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Sebastian Aho	Radek Faksa	Leon Draisaitl	60	0	1	4
2	Jordan Eberle	Mika Zibanejad	Markus Granlund	40	0	1	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alex Pietrangelo	John Klingberg	60	0	1	4
2	Mattias Ekholm	John Moore	40	0	1	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Markus Granlund	Radek Faksa	60	1	3	1
2	Leon Draisaitl	Jesper Fast	40	1	3	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alex Pietrangelo	Mattias Ekholm	60	1	3	1
2	John Klingberg	John Moore	40	1	3	1

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Markus Granlund	60	1	4	0	Alex Pietrangelo	Mattias Ekholm	60	1	4	0
2	Radek Faksa	40	1	4	0	John Klingberg	John Moore	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sebastian Aho	Leon Draisaitl	60	1	2	2
2	Mika Zibanejad	Radek Faksa	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alex Pietrangelo	Mattias Ekholm	60	1	2	2
2	John Klingberg	John Moore	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Sebastian Aho	Jordan Eberle	Leon Draisaitl	Alex Pietrangelo	John Klingberg

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Markus Granlund	Jordan Eberle	Radek Faksa	Alex Pietrangelo	Mattias Ekholm

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Mika Zibanejad, Leon Draisaitl, Thomas Vanek	Sebastian Aho, Mika Zibanejad	Leon Draisaitl

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
John Moore, Trevor Daley, Ryan Graves	John Moore	John Moore, Trevor Daley

Tirs de Pénalité
Leon Draisaitl, Mika Zibanejad, Jordan Eberle, Sebastian Aho, Markus Granlund

Gardien
#1 : Jake Allen, #2 : Marc-Andre Fleury

Lignes d'Attaque Perso. en Prol.
Leon Draisaitl, Mika Zibanejad, Jordan Eberle, Sebastian Aho, Sean Couturier, Markus Granlund, Markus Granlund, Thomas Vanek, Radek Faksa, Jesper Fast, Marcus Foligno

Lignes de Défense Perso. en Prol.
Alex Pietrangelo, Mattias Ekholm, John Klingberg, John Moore, Trevor Daley

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Avalanche	4	1	2	0	1	0	0	0	12	15	-3	2	0	2	0	0	0	0	0	3	11	-8	2	1	0	0	1	0	0	0	9	4	5	4	0.500	12	20	32	0	1	2	4	5	1	123	43	47	32	1	108	36	32	109	16	1	6.25%	15	3	80.00%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	90	61	101	30	50	24
2	Blackhawks	5	1	2	0	1	0	1	0	16	17	-1	2	1	0	0	1	0	0	0	8	6	2	3	0	2	0	0	0	1	0	8	11	-3	6	0.600	16	28	44	0	0	6	5	3	4	162	66	43	49	7	146	45	42	115	14	4	28.57%	21	3	85.71%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	118	81	125	34	61	31
3	Blue Jackets	2	1	1	0	0	0	0	0	4	4	0	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	2	0	2	2	0.500	4	7	11	0	1	1	3	0	0	53	17	19	17	0	71	26	14	39	9	2	22.22%	7	1	85.71%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	44	29	51	14	24	12
4	Blues	4	2	0	0	0	0	2	0	18	7	11	2	1	0	0	0	0	1	0	8	4	4	2	1	0	0	0	0	1	0	10	3	7	8	1.000	18	29	47	0	0	10	2	4	3	137	52	39	39	13	93	17	18	102	21	3	14.29%	8	1	87.50%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	116	84	81	28	52	28
5	Bruins	2	1	0	0	0	0	1	0	5	2	3	1	1	0	0	0	0	0	0	3	1	2	1	0	0	0	0	0	1	0	2	1	1	4	1.000	5	8	13	0	0	1	2	1	2	59	18	25	15	4	48	13	23	43	10	0	0.00%	9	1	88.89%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	52	35	46	14	25	13
6	Canadiens	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	3	4	-1	1	0.500	3	4	7	0	0	0	2	1	0	26	6	11	9	0	28	8	0	27	3	1	33.33%	0	0	0.00%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	24	17	23	6	13	6
7	Canucks	3	1	0	0	0	0	1	1	13	11	2	1	1	0	0	0	0	0	0	6	4	2	2	0	0	0	0	0	1	1	7	7	0	5	0.833	13	24	37	0	0	4	5	3	2	124	41	40	39	11	76	25	20	63	17	2	11.76%	9	3	66.67%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	88	65	62	21	39	19
8	Capitals	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	2	1	1	4	1.000	6	11	17	0	0	2	2	2	0	52	17	19	16	0	56	20	12	35	9	3	33.33%	6	1	83.33%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	48	34	46	14	24	12
9	Coyotes	3	1	2	0	0	0	0	0	9	10	-1	1	0	1	0	0	0	0	0	3	4	-1	2	1	1	0	0	0	0	0	6	6	0	2	0.333	9	17	26	0	0	1	4	4	0	80	26	29	25	0	84	19	31	51	13	3	23.08%	11	4	63.64%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	73	52	68	22	37	19
10	Devils	2	2	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	0	3	4	1.000	6	11	17	0	1	1	3	2	0	62	21	20	21	0	56	14	6	47	10	2	20.00%	3	0	100.00%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	51	37	43	13	24	12
11	Ducks	3	1	2	0	0	0	0	0	8	9	-1	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	2	3	-1	2	0.333	8	15	23	0	0	2	4	2	0	101	30	41	30	0	90	21	16	76	11	1	9.09%	8	2	75.00%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	76	55	65	20	37	18
12	Flames	3	1	0	0	0	1	0	1	9	9	0	2	0	0	0	0	1	0	1	6	8	-2	1	1	0	0	0	0	0	0	3	1	2	4	0.667	9	17	26	0	0	4	2	3	1	84	22	28	30	7	78	21	26	56	10	3	30.00%	12	4	66.67%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	69	47	75	22	41	21
13	Flyers	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	4	0	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	1	2	1	1	0	33	7	13	13	0	19	8	19	19	7	1	14.29%	2	0	100.00%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	26	18	20	7	12	6
14	Golden Knights	3	2	1	0	0	0	0	0	9	5	4	2	1	1	0	0	0	0	0	5	5	0	1	1	0	0	0	0	0	0	4	0	4	4	0.667	9	16	25	0	1	4	3	2	0	88	32	35	21	0	82	22	25	80	5	1	20.00%	10	0	100.00%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	73	50	68	20	37	19
15	Hurricanes	2	1	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	0	3	-3	1	1	0	0	0	0	0	0	2	1	1	2	0.500	2	4	6	0	0	0	2	0	0	65	14	30	21	0	56	15	8	38	12	2	16.67%	3	1	66.67%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	48	34	45	15	26	13
16	Islanders	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	8	15	23	0	0	1	5	2	0	61	18	25	18	0	46	12	19	41	12	2	16.67%	7	2	71.43%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	54	38	39	13	25	13
17	Jets	4	2	1	0	0	0	0	1	10	8	2	2	2	0	0	0	0	0	0	5	1	4	2	0	1	0	0	0	0	1	5	7	-2	5	0.625	10	17	27	0	1	2	2	6	0	125	27	41	54	6	116	38	35	73	16	1	6.25%	14	2	85.71%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	95	65	98	30	51	24
18	Kings	3	1	1	0	0	0	0	1	9	10	-1	1	1	0	0	0	0	0	0	2	0	2	2	0	1	0	0	0	0	1	7	10	-3	3	0.500	9	18	27	0	1	2	5	2	0	121	32	31	52	9	65	17	42	68	15	3	20.00%	10	1	90.00%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	78	57	67	22	38	19
19	Lightning	2	0	1	0	0	1	0	0	5	7	-2	1	0	1	0	0	0	0	0	3	4	-1	1	0	0	0	0	1	0	0	2	3	-1	1	0.250	5	10	15	0	0	1	0	4	0	60	13	12	33	2	45	14	20	44	8	0	0.00%	9	2	77.78%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	51	35	44	14	24	12
20	Maple Leafs	2	1	1	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	4	0	4	2	0.500	5	10	15	0	1	3	0	2	0	65	27	16	22	0	62	16	14	45	5	1	20.00%	7	0	100.00%	1	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	48	32	45	15	26	13
21	Oilers	3	0	1	0	0	0	2	0	10	11	-1	1	0	0	0	0	0	1	0	4	3	1	2	0	1	0	0	0	1	0	6	8	-2	4	0.667	10	15	25	0	0	4	2	2	3	82	22	31	24	15	77	24	28	59	9	1	11.11%	13	1	92.31%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	77	54	73	22	39	19
22	Panthers	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	7	12	19	0	0	1	4	2	0	64	16	31	17	0	65	18	20	46	5	0	0.00%	9	1	88.89%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	46	31	47	15	26	13
23	Penguins	2	1	0	0	1	0	0	0	5	3	2	1	0	0	0	1	0	0	0	3	2	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	5	10	15	0	0	2	1	1	1	33	5	8	17	3	50	16	14	43	3	0	0.00%	7	1	85.71%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	42	28	53	17	27	12
24	Rangers	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	7	14	21	0	0	5	0	2	0	62	26	20	16	0	50	14	10	32	11	2	18.18%	5	0	100.00%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	48	33	45	14	25	13
25	Red Wings	2	2	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	4	0	4	4	1.000	7	11	18	0	1	3	4	0	0	53	20	19	14	0	46	14	23	52	14	3	21.43%	5	0	100.00%	1	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	49	33	46	15	24	13
26	Sabres	2	0	2	0	0	0	0	0	3	9	-6	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	3	5	8	0	0	2	1	0	0	44	11	22	11	0	59	23	20	51	10	2	20.00%	9	4	55.56%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	45	30	50	14	24	12
27	Senateurs	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	6	11	17	0	0	2	4	0	0	65	29	22	14	0	43	17	18	31	9	3	33.33%	9	3	66.67%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	48	32	45	13	26	13
28	Sharks	3	2	1	0	0	0	0	0	7	5	2	2	2	0	0	0	0	0	0	6	2	4	1	0	1	0	0	0	0	0	1	3	-2	4	0.667	7	12	19	0	1	1	2	4	0	94	31	29	34	0	52	20	31	60	9	1	11.11%	13	3	76.92%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	74	52	68	22	37	18
29	Stars	4	2	1	0	0	0	1	0	18	13	5	2	1	1	0	0	0	0	0	9	8	1	2	1	0	0	0	0	1	0	9	5	4	6	0.750	18	32	50	0	0	5	5	7	2	140	40	32	64	7	132	35	40	85	15	5	33.33%	15	6	60.00%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	99	69	95	28	50	26
	Total	79	36	24	0	3	3	8	5	242	206	36	39	21	11	0	2	1	2	2	126	103	23	40	15	13	0	1	2	6	3	116	103	13	102	0.646	242	430	672	0	10	79	82	70	19	2439	765	821	807	93	2106	612	649	1714	327	56	17.13%	265	51	80.75%	2	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	1968	1376	1838	578	1008	514
31	Wild	4	2	1	0	0	0	0	1	11	10	1	2	1	0	0	0	0	0	1	7	6	1	2	1	1	0	0	0	0	0	4	4	0	5	0.625	11	20	31	0	0	5	3	3	0	121	36	43	40	8	107	24	23	84	19	3	15.79%	9	1	88.89%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	104	75	88	29	52	26
	_Since Last GM Reset	79	36	24	0	3	3	8	5	242	206	36	39	21	11	0	2	1	2	2	126	103	23	40	15	13	0	1	2	6	3	116	103	13	102	0.646	242	430	672	0	10	79	82	70	19	2439	765	821	807	93	2106	612	649	1714	327	56	17.13%	265	51	80.75%	2	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	1968	1376	1838	578	1008	514
	_Vs Conference	49	19	15	0	2	1	7	5	159	140	19	24	12	6	0	1	1	2	2	78	68	10	25	7	9	0	1	0	5	3	81	72	9	62	0.633	159	280	439	0	5	52	48	50	16	1582	500	509	533	84	1306	364	409	1081	190	32	16.84%	168	34	79.76%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	1237	872	1139	358	627	318
	_Vs Division	25	10	7	0	2	0	4	2	85	70	15	12	6	3	0	1	0	1	1	40	36	4	13	4	4	0	1	0	3	1	45	34	11	34	0.680	85	146	231	0	2	30	21	28	10	808	264	245	278	42	702	195	190	568	101	17	16.83%	82	16	80.49%	0	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	625	436	590	181	318	162

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
79	102	W4	242	430	672	2439	2106	612	649	1714	0	10

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
79	36	24	3	3	8	5	242	206

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	21	11	2	1	2	2	126	103

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	15	13	1	2	6	3	116	103

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
8	1	0	0	1	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
327	56	17.13%	265	51	80.75%	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
765	821	807	93	79	82	70	19

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
1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%

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
1968	1376	1838	578	1008	514

Derniers Match 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
2 - 2019-10-03	9	Wild	4	Predators	3	L	X	X	Sommaire du Match
4 - 2019-10-05	25	Red Wings	1	Predators	3	W			Sommaire du Match
7 - 2019-10-08	41	Sharks	0	Predators	3	W			Sommaire du Match
9 - 2019-10-10	52	Capitals	2	Predators	4	W			Sommaire du Match
11 - 2019-10-12	63	Predators	4	Kings	5	L	X	X	Sommaire du Match
14 - 2019-10-15	90	Predators	4	Golden Knights	0	W			Sommaire du Match
16 - 2019-10-17	104	Predators	2	Coyotes	4	L			Sommaire du Match
18 - 2019-10-19	121	Panthers	2	Predators	4	W			Sommaire du Match
21 - 2019-10-22	138	Ducks	3	Predators	1	L			Sommaire du Match
23 - 2019-10-24	150	Wild	2	Predators	4	W			Sommaire du Match
25 - 2019-10-26	164	Predators	2	Lightning	3	L	X		Sommaire du Match
28 - 2019-10-29	185	Blackhawks	3	Predators	4	W	X		Sommaire du Match
30 - 2019-10-31	194	Flames	5	Predators	4	L	X		Sommaire du Match
32 - 2019-11-02	205	Rangers	1	Predators	5	W			Sommaire du Match
34 - 2019-11-04	222	Predators	4	Red Wings	0	W			Sommaire du Match
37 - 2019-11-07	244	Predators	5	Avalanche	4	W	X		Sommaire du Match
39 - 2019-11-09	262	Predators	1	Sharks	3	L			Sommaire du Match
42 - 2019-11-12	277	Predators	3	Canucks	4	L	X	X	Sommaire du Match
46 - 2019-11-16	310	Blackhawks	3	Predators	4	W			Sommaire du Match
49 - 2019-11-19	325	Jets	0	Predators	2	W			Sommaire du Match
51 - 2019-11-21	339	Canucks	4	Predators	6	W			Sommaire du Match
53 - 2019-11-23	358	Predators	3	Blues	2	W	X	X	Sommaire du Match
55 - 2019-11-25	370	Blues	2	Predators	3	W	X	X	Sommaire du Match
57 - 2019-11-27	385	Golden Knights	2	Predators	1	L			Sommaire du Match
59 - 2019-11-29	401	Predators	2	Hurricanes	1	W			Sommaire du Match
60 - 2019-11-30	409	Predators	3	Panthers	4	L			Sommaire du Match
63 - 2019-12-03	430	Lightning	4	Predators	3	L			Sommaire du Match
67 - 2019-12-07	460	Devils	2	Predators	3	W			Sommaire du Match
70 - 2019-12-10	475	Sharks	2	Predators	3	W			Sommaire du Match
72 - 2019-12-12	487	Predators	0	Sabres	4	L			Sommaire du Match
74 - 2019-12-14	505	Stars	5	Predators	4	L			Sommaire du Match
76 - 2019-12-16	520	Predators	2	Rangers	5	L			Sommaire du Match
77 - 2019-12-17	527	Predators	3	Islanders	2	W			Sommaire du Match
79 - 2019-12-19	542	Predators	1	Senateurs	5	L			Sommaire du Match
81 - 2019-12-21	556	Predators	2	Bruins	1	W	X	X	Sommaire du Match
83 - 2019-12-23	576	Coyotes	4	Predators	3	L			Sommaire du Match
87 - 2019-12-27	587	Penguins	2	Predators	3	W	X		Sommaire du Match
88 - 2019-12-28	597	Predators	2	Penguins	1	W			Sommaire du Match
92 - 2020-01-01	626	Predators	4	Stars	1	W			Sommaire du Match
95 - 2020-01-04	652	Predators	3	Kings	5	L			Sommaire du Match
96 - 2020-01-05	658	Predators	2	Ducks	3	L			Sommaire du Match
98 - 2020-01-07	671	Bruins	1	Predators	3	W			Sommaire du Match
100 - 2020-01-09	684	Predators	1	Blackhawks	3	L			Sommaire du Match
103 - 2020-01-12	703	Predators	3	Jets	4	L	X	X	Sommaire du Match
105 - 2020-01-14	723	Predators	4	Oilers	3	W	X	X	Sommaire du Match
107 - 2020-01-16	735	Ducks	3	Predators	5	W			Sommaire du Match
109 - 2020-01-18	752	Sabres	5	Predators	3	L			Sommaire du Match
118 - 2020-01-27	770	Maple Leafs	3	Predators	1	L			Sommaire du Match
120 - 2020-01-29	777	Predators	2	Capitals	1	W			Sommaire du Match
121 - 2020-01-30	783	Predators	3	Devils	0	W			Sommaire du Match
123 - 2020-02-01	801	Golden Knights	3	Predators	4	W			Sommaire du Match
126 - 2020-02-04	822	Predators	2	Jets	3	L			Sommaire du Match
128 - 2020-02-06	836	Predators	3	Flames	1	W			Sommaire du Match
130 - 2020-02-08	845	Predators	2	Oilers	5	L			Sommaire du Match
132 - 2020-02-10	864	Predators	4	Canucks	3	W	X	X	Sommaire du Match
135 - 2020-02-13	886	Islanders	3	Predators	5	W			Sommaire du Match
137 - 2020-02-15	896	Predators	7	Blues	1	W			Sommaire du Match
138 - 2020-02-16	910	Blues	2	Predators	5	W			Sommaire du Match
140 - 2020-02-18	925	Hurricanes	3	Predators	0	L			Sommaire du Match
143 - 2020-02-21	943	Predators	3	Blackhawks	5	L			Sommaire du Match
144 - 2020-02-22	955	Blue Jackets	4	Predators	2	L			Sommaire du Match
147 - 2020-02-25	977	Senateurs	2	Predators	5	W			Sommaire du Match
149 - 2020-02-27	991	Flames	3	Predators	2	L	X	X	Sommaire du Match
151 - 2020-02-29	1008	Avalanche	5	Predators	0	L			Sommaire du Match
153 - 2020-03-02	1018	Oilers	3	Predators	4	W	X	X	Sommaire du Match
154 - 2020-03-03	1023	Predators	2	Wild	3	L			Sommaire du Match
156 - 2020-03-05	1039	Stars	3	Predators	5	W			Sommaire du Match
158 - 2020-03-07	1051	Predators	5	Stars	4	W	X	X	Sommaire du Match
161 - 2020-03-10	1071	Predators	3	Canadiens	4	L	X		Sommaire du Match
163 - 2020-03-12	1083	Predators	4	Maple Leafs	0	W			Sommaire du Match
165 - 2020-03-14	1105	Predators	2	Blue Jackets	0	W			Sommaire du Match
166 - 2020-03-15	1116	Predators	2	Wild	1	W			Sommaire du Match
170 - 2020-03-19	1142	Avalanche	6	Predators	3	L			Sommaire du Match
172 - 2020-03-21	1159	Flyers	0	Predators	4	W			Sommaire du Match
173 - 2020-03-22	1167	Predators	4	Blackhawks	3	W	X	X	Sommaire du Match
175 - 2020-03-24	1183	Jets	1	Predators	3	W			Sommaire du Match
177 - 2020-03-26	1197	Kings	0	Predators	2	W			Sommaire du Match
179 - 2020-03-28	1214	Predators	4	Coyotes	2	W			Sommaire du Match
180 - 2020-03-29	1222	Predators	4	Avalanche	0	W			Sommaire du Match
183 - 2020-04-01	1240	Canadiens	-	Predators	-
184 - 2020-04-02	1246	Predators	-	Flyers	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
186 - 2020-04-04	1267	Wild	-	Predators	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	100	60	35	25	200
Assistance	223,769	189,027	74,198	150,092	37,030
Attendance PCT	95.63%	96.94%	95.13%	96.21%	94.95%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
2	17285 - 96.03%	620,811$	24,211,616$	18000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
71,353,913$	70,774,999$	70,774,998$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
70,774,999$	71,257,672$	0$	20	1

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
1,241,621$	7	379,011$	2,653,077$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
2,719,031$	70,774,999$	51,180,683$	49,703,273$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Leon Draisaitl	AGE:22	PO:0	OV:74
Sebastian Aho	AGE:21	PO:0	OV:72
Nikolaj Ehlers	AGE:22	PO:0	OV:70
Thomas Vanek	AGE:34	PO:0	OV:69
Marcus Foligno	AGE:27	PO:0	OV:67
Markus Granlund	AGE:25	PO:0	OV:66
Drake Caggiula	AGE:24	PO:0	OV:66
Adam Erne	AGE:23	PO:0	OV:65
Daniel Carr	AGE:26	PO:0	OV:65
Dillon Dube	AGE:20	PO:0	OV:63
Victor Olofsson	AGE:23	PO:0	OV:63
Dmytro Timashov	AGE:22	PO:0	OV:61
Zac Rinaldo	AGE:28	PO:0	OV:61
Brett Pollock	AGE:22	PO:0	OV:59
Carsen Twarynski	AGE:20	PO:0	OV:59
Axel Jonsson-Fjallby	AGE:20	PO:0	OV:57

Mika Zibanejad	AGE:25	PO:0	OV:74
Sean Couturier	AGE:25	PO:0	OV:74
Leon Draisaitl	AGE:22	PO:0	OV:74
Sebastian Aho	AGE:21	PO:0	OV:72
Radek Faksa	AGE:24	PO:0	OV:69
Markus Granlund	AGE:25	PO:0	OV:66
Drake Caggiula	AGE:24	PO:0	OV:66
Tyler Graovac	AGE:25	PO:0	OV:64
Dillon Dube	AGE:20	PO:0	OV:63
Lukas Sedlak	AGE:25	PO:0	OV:61
Tyler Gaudet	AGE:25	PO:0	OV:61
Colin Greening	AGE:32	PO:0	OV:60
Ryan Tesink	AGE:25	PO:0	OV:58

Leon Draisaitl	AGE:22	PO:0	OV:74
Jordan Eberle	AGE:28	PO:0	OV:70
Nikolaj Ehlers	AGE:22	PO:0	OV:70
Thomas Vanek	AGE:34	PO:0	OV:69
Jesper Fast	AGE:26	PO:0	OV:68
Marcus Foligno	AGE:27	PO:0	OV:67
Markus Granlund	AGE:25	PO:0	OV:66
Drake Caggiula	AGE:24	PO:0	OV:66
Adam Erne	AGE:23	PO:0	OV:65
Daniel Carr	AGE:26	PO:0	OV:65
Victor Olofsson	AGE:23	PO:0	OV:63
Dmytro Timashov	AGE:22	PO:0	OV:61
Nikita Soshnikov	AGE:24	PO:0	OV:60

Défense #1

Défense #2

Gardien

Alex Pietrangelo	AGE:28	PO:0	OV:74
Mattias Ekholm	AGE:28	PO:0	OV:72
John Klingberg	AGE:26	PO:0	OV:72
John Moore	AGE:27	PO:0	OV:67
Trevor Daley	AGE:35	PO:0	OV:66
Ryan Graves	AGE:23	PO:0	OV:66

Joakim Ryan	AGE:25	PO:0	OV:63
Ryan Collins	AGE:22	PO:0	OV:60
Roland McKeown	AGE:22	PO:0	OV:59
Hubert Labrie	AGE:27	PO:0	OV:58
Ryan Culkin	AGE:24	PO:0	OV:58
Luke Green	AGE:20	PO:0	OV:57

Marc-Andre Fleury	AGE:33	PO:0	OV:78
Jake Allen	AGE:28	PO:0	OV:74
Connor Ingram	AGE:21	PO:0	OV:66
Al Montoya	AGE:33	PO:0	OV:64

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total
Andrey Makarov	Predators
Artem Sergeev	Predators
B.J. Crombeen	Predators
Brett Bulmer	Predators
Brian Fahey	Predators
Brian O'Hanley	Predators
Bryan Allen	Predators
Bryan Helmer	Predators
Casey Wellman	Predators
Christian Hanson	Predators
Christophe Lalancette	Predators	2	110
Christopher Paquette	Predators	6	161
Dalton Thrower	Predators	2	50
David Clarkson	Predators
David Legwand	Predators
David Liffiton	Predators
Declan Chisholm	Predators	8	151
Eetu Tuulola	Predators	6	111
Eric Nystrom	Predators
Evgeny Svechnikov	Predators
Fabrice Herzog	Predators	3	70
Filip Berglund	Predators	6	89
Fredric Larsson	Predators	2	80
Greg Zanon	Predators
Ivan Chukarov	Predators	5	168
Jackson Houck	Predators	3	90
Jared Boll	Predators
Jason DeSantis	Predators
Jean-Philippe Cote	Predators
Jesper Pettersson	Predators
Jim Vandermeer	Predators
Joey Dudek	Predators	4	169
Joey Mormina	Predators
Jordan Leopold	Predators
Josh Green	Predators
Kimmo Timonen	Predators
Louis-Marc Aubry	Predators
Luke Stevens	Predators	5	109
Martin Havlat	Predators
Matt Smaby	Predators
Nathan Horton	Predators
Nik Antropov	Predators
Olivier Archambault	Predators
Olle Eriksson-Ek	Predators	7	69
Paul Bissonnette	Predators
Paul Szczechura	Predators
Peter Delmas	Predators
Petr Straka	Predators
Ryan Malone	Predators
Sami Aittokallio	Predators
Scott Hartnell	Predators
Sebastian Collberg	Predators
Sebastien Piche	Predators
Shawn Thornton	Predators
Travis Moen	Predators
Trevor Ludwig	Predators
Tyler Tucker	Predators	8	120
Tyler Weiss	Predators	8	168
Vladimir Bobylev	Predators	6	125

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6
9	NSH		NSH	NSH	NSH	NSH
10	NSH	NSH		NSH	NSH	LAK NSH
11	NSH	NSH	NSH	NSH	NSH	NSH
12	NSH	NSH	NSH	NSH	NSH	NSH
13	NSH	NSH	NSH	NSH	NSH	NSH

[2020-02-02 10:22:23 PM] - TRADE : From Blue Jackets to Predators : Daniel Carr (65).
[2019-09-02 10:27:39 AM] - Predators drafts Tyler Weiss as the #168 overall pick in the Entry Draft of year 8.
[2019-07-28 4:08:30 PM] - Predators drafts Declan Chisholm as the #151 overall pick in the Entry Draft of year 8.
[2019-07-28 4:03:24 PM] - Predators drafts Tyler Tucker as the #120 overall pick in the Entry Draft of year 8.
[2019-06-19 8:54:08 AM] - TRADE : From Predators to Kings : Jonathan Ericsson (65).
[2019-06-19 8:54:08 AM] - TRADE : From Kings to Predators : Y:10-RND:6-LAK.
[2019-05-28 9:04:54 PM] - Ryan Culkin was added to Predators.
[2019-05-28 9:04:54 PM] - Axel Jonsson-Fjallby was added to Predators.
[2019-05-28 9:04:54 PM] - Victor Olofsson was added to Predators.
[2019-05-28 9:04:54 PM] - Luke Green was added to Predators.

[2020-03-24 7:47:42 PM] Lukas Sedlak from Admirals has scored a Hat Trick!
[2020-03-24 7:47:36 PM] Auto Lines Partial Function has been run for Predators.
[2020-03-24 7:47:36 PM] Auto Roster Partial Function has been run for Predators.
[2020-03-22 10:23:02 PM] Game 1167 - Nikolaj Ehlers from Predators is injured (Sports Hernia) and is out for 1 month.
[2020-03-21 7:15:48 PM] Sean Couturier from Predators is back from Left Forearm Injury.
[2020-03-21 7:15:48 PM] Tyler Graovac from Admirals has scored a Hat Trick!
[2020-03-19 9:32:38 PM] Auto Lines Partial Function has been run for Predators.
[2020-03-19 9:32:38 PM] Auto Roster Partial Function has been run for Predators.
[2020-03-17 7:51:54 PM] Last 7 Days Pro Star : 1 - Marc-Andre Fleury of Predators (0.990) / 2 - Zach Parise of Jets (5-0-5) / 3 - Mike Smith of Stars (0.944)
[2020-03-16 7:54:28 PM] Marc-Andre Fleury from Predators is back from Exhaustion.
[2020-03-15 9:58:36 PM] Marc-Andre Fleury from Predators injured (Exhaustion)
[2020-03-10 7:08:19 PM] Auto Lines Partial Function has been run for Predators.
[2020-03-10 7:08:19 PM] Auto Roster Partial Function has been run for Predators.
[2020-03-07 7:32:03 PM] Jordan Eberle from Predators is back from Bruised Left Arm Injury.
[2020-03-07 7:32:02 PM] Nikita Soshnikov from Admirals has scored a Hat Trick!
[2020-03-07 7:32:02 PM] Game 1051 - Jordan Eberle from Predators is injured (Bruised Left Arm) and is out for 5 days.
[2020-03-07 7:32:02 PM] Game 1051 - Sean Couturier from Predators is injured (Left Forearm) and is out for 2 weeks.
[2020-02-27 6:49:31 PM] Lukas Sedlak from Admirals has scored a Hat Trick!

Nikolaj Ehlers est dehors pour 2 semaines à cause de Sports Hernia Injury.

Afficher ou Masquer des Colonnes

	Ligue											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
2	82	29	30	0	4	4	6	9	219	212	7	41	16	14	0	2	2	3	4	109	105	4	41	13	16	0	2	2	3	5	110	107	3	58	219	365	584	1	5	68	79	62	15	2421	758	811	805	102	2423	755	1026	1735	344	52	15.12%	409	55	86.55%	5	1451	2897	50.09%	1475	3003	49.12%	645	1286	50.16%	1970	1349	1988	622	1051	519
3	82	19	46	0	4	4	3	6	156	232	-76	41	10	20	0	3	3	1	4	87	121	-34	41	9	26	0	1	1	2	2	69	111	-42	38	156	267	423	2	6	49	50	50	11	1886	620	614	627	56	2598	756	1153	1880	262	36	13.74%	476	72	84.87%	4	1176	2460	47.80%	1463	3135	46.67%	573	1169	49.02%	1770	1164	2171	643	1044	491
4	82	17	47	0	5	5	3	5	179	269	-90	41	7	24	0	1	4	2	3	87	130	-43	41	10	23	0	4	1	1	2	92	139	-47	34	179	318	497	2	2	71	57	43	15	2012	698	675	613	59	2590	729	504	1838	184	30	16.30%	226	48	78.76%	2	1200	2475	48.48%	1351	2895	46.67%	600	1282	46.80%	1748	1168	2161	623	1071	506
5	82	28	45	0	1	4	1	3	212	275	-63	41	13	22	0	0	4	0	2	104	141	-37	41	15	23	0	1	0	1	1	108	134	-26	56	212	379	591	4	2	74	59	77	3	2259	740	737	768	30	2614	802	568	1723	236	42	17.80%	237	57	75.95%	4	1246	2652	46.98%	1356	2884	47.02%	601	1285	46.77%	1854	1267	2055	610	1042	508
6	82	26	41	0	6	5	2	2	197	246	-49	41	15	19	0	4	2	1	0	102	116	-14	41	11	22	0	2	3	1	2	95	130	-35	52	197	343	540	5	4	69	66	54	10	2440	800	815	797	41	2473	742	613	1882	289	50	17.30%	250	56	77.60%	2	1401	2844	49.26%	1431	2808	50.96%	601	1191	50.46%	2013	1420	1932	583	1019	513
7	82	43	26	0	3	4	2	4	256	216	40	41	25	10	0	2	2	0	2	142	96	46	41	18	16	0	1	2	2	2	114	120	-6	86	256	458	714	1	7	84	94	73	8	2652	889	865	878	40	2357	697	605	1952	270	68	25.19%	258	49	81.01%	3	1536	2931	52.41%	1407	2749	51.18%	709	1312	54.04%	2032	1438	1917	570	1011	514
8	79	36	24	0	3	3	8	5	242	206	36	39	21	11	0	2	1	2	2	126	103	23	40	15	13	0	1	2	6	3	116	103	13	102	242	430	672	0	10	79	82	70	19	2439	765	821	807	93	2106	612	649	1714	327	56	17.13%	265	51	80.75%	2	1456	2825	51.54%	1310	2542	51.53%	608	1183	51.39%	1968	1376	1838	578	1008	514
Total Saison Régulière	571	198	259	0	26	29	25	34	1461	1656	-195	285	107	120	0	14	18	9	17	757	812	-55	286	91	139	0	12	11	16	17	704	844	-140	426	1461	2560	4021	15	36	494	487	429	81	16109	5270	5338	5295	421	17161	5093	5118	12724	1912	334	17.47%	2121	388	81.71%	22	9466	19084	49.60%	9793	20016	48.93%	4337	8708	49.80%	13357	9185	14065	4233	7249	3568
Séries
7	11	5	6	0	0	0	0	0	32	35	-3	6	3	3	0	0	0	0	0	21	21	0	5	2	3	0	0	0	0	0	11	14	-3	10	32	58	90	2	1	12	10	10	0	390	124	137	117	12	333	104	80	262	40	7	17.50%	31	8	74.19%	0	223	426	52.35%	214	392	54.59%	84	176	47.73%	272	193	260	78	141	70
Total Séries	11	5	6	0	0	0	0	0	32	35	-3	6	3	3	0	0	0	0	0	21	21	0	5	2	3	0	0	0	0	0	11	14	-3	10	32	58	90	2	1	12	10	10	0	390	124	137	117	12	333	104	80	262	40	7	17.50%	31	8	74.19%	0	223	426	52.35%	214	392	54.59%	84	176	47.73%	272	193	260	78	141	70