OTHL - Predators

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Alex Killorn		X	X		100.00	73	43	90	84	72	77	92	81	33	77	87	78	38	74	78	83	50	75	0	31	4	7,125,000$
2	Logan Couture	X				100.00	75	44	89	82	75	79	84	79	74	82	82	76	79	76	82	81	50	75	0	32	2	7,250,000$
3	Adam Henrique	X	X			100.00	76	44	90	81	71	74	94	81	95	69	86	68	37	74	76	79	50	73	0	31	4	6,500,000$
4	Sam Reinhart	X		X		100.00	65	42	90	84	71	85	93	89	41	80	83	56	63	66	66	79	50	73	0	25	3	5,500,000$
5	Reilly Smith		X	X		100.00	71	42	90	80	68	77	90	72	32	79	87	72	41	72	75	80	50	72	0	30	3	6,500,000$
6	Adrian Kempe	X	X			100.00	75	54	87	88	74	73	92	80	50	75	70	68	48	61	62	74	50	71	0	24	1	894,167$
7	Dominik Kubalik (R)		X	X		100.00	77	43	91	84	67	67	76	76	35	69	90	63	25	52	52	80	50	69	0	25	3	1,775,000$
8	Andreas Athanasiou	X	X	X		100.00	69	64	84	92	71	72	83	75	44	72	72	62	75	66	67	73	50	69	0	26	1	3,700,000$
9	Brandon Sutter	X				100.00	63	55	83	77	73	68	56	65	78	65	71	88	63	78	80	72	50	68	0	32	1	4,125,000$
10	Ryan Dzingel		X	X		100.00	67	62	86	82	71	67	88	75	35	76	64	63	25	64	65	69	50	67	0	29	2	1,700,000$
11	Danton Heinen		X	X		100.00	65	42	94	80	69	67	89	73	36	69	68	61	25	64	66	70	50	66	0	26	1	995,833$
12	Alex Tuch		X	X		100.00	79	45	93	82	83	68	75	71	36	66	71	56	48	63	65	70	50	66	0	25	1	1,350,000$
13	Oscar Klefbom				X	100.00	69	43	88	86	80	93	79	89	25	72	49	88	25	66	66	70	50	75	0	27	1	5,000,000$
14	Jack Johnson				X	100.00	92	47	88	76	81	78	92	58	25	50	48	84	62	83	85	65	50	72	0	34	1	7,000,000$
15	Erik Cernak				X	100.00	91	56	75	80	76	76	84	59	25	49	49	89	25	62	63	65	50	71	0	24	2	890,000$
16	Deryk Engelland (A)				X	100.00	88	58	78	67	78	72	79	56	25	49	47	89	25	76	79	63	50	69	0	39	1	6,000,000$
17	Kevan Miller				X	100.00	84	93	75	78	80	75	71	58	25	54	47	85	25	65	67	63	50	69	0	33	1	2,850,000$
18	Zach Bogosian				X	100.00	76	45	77	75	82	70	64	59	25	56	48	81	75	75	75	62	50	68	0	31	1	5,060,000$
Rayé
1	Jayson Megna	X		X		100.00	76	72	85	74	72	75	78	66	80	59	67	70	64	60	61	68	50	65	0	31	1	750,000$
2	Gage Quinney	X	X			100.00	79	73	94	62	73	73	76	65	80	60	65	69	62	51	51	67	50	63	0	25	1	715,000$
Équipe Mineure
1	Morgan Frost (R)	X				100.00	59	40	93	85	63	65	77	75	60	70	59	53	25	45	45	64	50	63	0	22	3	863,333$
2	Gaetan Haas (R)	X				100.00	75	43	96	80	64	54	72	63	70	59	59	65	25	50	50	64	50	62	0	29	1	1,562,000$
3	Stefan Matteau		X			100.00	82	84	77	64	84	71	74	61	50	57	60	69	57	51	51	64	50	62	0	27	1	925,000$
4	Justin Dowling	X	X	X		100.00	73	43	90	70	66	57	70	68	52	60	59	69	25	51	52	64	50	62	0	30	1	750,000$
5	Greg Carey	X	X			100.00	76	71	88	63	71	76	81	60	75	53	62	66	59	50	50	64	50	62	0	31	2	800,000$
6	Austin Poganski			X		100.00	80	75	90	65	75	73	77	60	50	59	57	66	54	44	44	64	50	61	0	25	3	750,000$
7	Logan Shaw	X		X		100.00	69	43	99	73	77	46	78	54	54	56	59	66	25	60	61	63	50	61	0	28	2	725,000$
8	J.C. Beaudin (R)	X				100.00	88	75	89	75	71	52	66	58	73	55	55	67	25	46	46	62	50	60	0	24	3	816,667$
9	Lean Bergmann (R)		X	X		100.00	89	46	89	75	76	51	64	51	26	58	55	56	25	45	45	60	50	57	0	22	2	925,000$
10	Nick Lappin		X	X		100.00	74	66	93	67	66	67	72	51	50	47	50	62	48	49	49	57	50	57	0	28	2	725,000$
11	Brandon Gignac (R)	X	X			100.00	69	63	84	63	63	66	69	55	69	55	48	62	46	55	55	57	50	57	0	23	3	921,666$
12	Adam Musil	X				100.00	81	77	90	66	77	69	75	49	61	45	47	64	45	44	44	56	50	57	0	27	3	750,000$
13	Dennis Cholowski				X	100.00	63	41	94	77	64	77	87	80	25	52	48	63	25	55	55	61	50	65	0	23	2	894,166$
14	Kevin Connauton				X	100.00	75	76	74	80	76	63	64	61	25	57	46	69	44	64	65	60	50	65	0	31	1	1,575,000$
15	Julius Bergman				X	100.00	79	75	89	62	75	65	70	47	25	39	39	63	37	45	45	52	50	58	0	25	3	750,000$
16	Stuart Percy				X	100.00	72	69	79	58	69	72	78	52	25	49	41	60	39	44	44	54	50	58	0	28	2	725,000$
17	Dennis Robertson				X	100.00	79	78	81	62	78	60	64	46	25	32	43	64	41	52	52	52	50	58	0	30	3	750,000$
18	Aaron Harstad				X	100.00	73	73	72	63	73	40	40	39	25	47	35	56	33	44	44	1	50	52	0	29	3	750,000$

	MOYENNE D'ÉQUIPE					100.00	75	58	87	75	73	69	77	65	46	60	60	69	42	59	60	65	50	65

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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	Âge	Contrat	Salaire
1	Troy Grosenick	100.00	65	69	86	70	65	68	63	71	66	65	30	44	44	66	50	64	0	31	2	950,000$
Rayé
1	Carey Price	100.00	79	96	93	84	74	83	71	80	79	79	86	77	80	80	50	78	0	33	5	10,000,000$
Équipe Mineure
1	Pheonix Copley	100.00	57	59	74	83	55	58	59	64	59	59	30	46	46	59	50	60	0	29	2	1,250,000$
2	Joseph Woll (R)	100.00	50	64	80	80	45	52	50	55	49	49	30	44	44	52	50	54	0	23	3	800,000$

	MOYENNE D'ÉQUIPE	100.00	63	72	83	79	60	65	61	68	63	63	44	53	54	64	50	64

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Peter Laviolette	60	96	73	77	99	87	82	USA	51	1	3,000,000$

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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

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#	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	PKS	PKM	GW	GT	FO%	FOT	P/20	FW	FL	FT	S1	S2	S3
1	Oscar Klefbom	Predators	D	18	6	13	19	-5	2	0	7	35	31	17	36	19.35%	39	470	26.16	3	7	10	19	50	0	49	0	1	0.00%	0	0.81	0	0	0	2	0	0
2	Reilly Smith	Predators	LW/RW	18	4	11	15	-2	8	0	36	13	58	10	43	6.90%	9	370	20.58	3	5	8	17	47	2	47	0	0	30.30%	33	0.81	0	0	0	1	0	0
3	Alex Killorn	Predators	LW/RW	18	4	8	12	-5	6	0	28	32	75	23	81	5.33%	6	417	23.18	0	4	4	10	50	3	48	0	0	33.33%	30	0.58	0	0	0	0	2	2
4	Logan Couture	Predators	C	18	6	6	12	-5	6	0	24	50	72	16	53	8.33%	3	415	23.09	3	1	4	13	47	0	47	1	0	47.44%	626	0.58	0	0	0	0	1	0
5	Adrian Kempe	Predators	C/LW	18	6	5	11	7	7	5	26	18	43	9	35	13.95%	1	275	15.31	1	2	3	6	44	1	13	0	0	28.15%	135	0.80	0	0	1	1	0	2
6	Dominik Kubalik	Predators	LW/RW	18	1	9	10	-7	10	0	26	19	54	16	42	1.85%	2	356	19.79	0	5	5	9	47	0	1	0	0	30.77%	26	0.56	0	0	0	0	1	0
7	Brandon Sutter	Predators	C	17	3	7	10	5	0	0	7	50	43	13	15	6.98%	5	237	13.98	0	0	0	0	0	1	45	0	0	47.89%	355	0.84	0	0	0	0	1	0
8	Sam Reinhart	Predators	C/RW	18	3	6	9	0	6	0	9	29	52	15	45	5.77%	0	335	18.63	2	0	2	8	50	0	0	1	0	33.33%	12	0.54	0	0	0	0	0	0
9	Erik Cernak	Predators	D	18	3	5	8	4	10	0	49	20	29	5	18	10.34%	27	412	22.93	0	3	3	13	48	0	52	0	0	0.00%	0	0.39	0	0	0	1	0	1
10	Zach Bogosian	Predators	D	18	0	7	7	4	12	0	9	12	11	2	6	0.00%	22	274	15.23	0	0	0	0	1	0	22	0	0	0.00%	0	0.51	0	0	0	0	0	0
11	Adam Henrique	Predators	C/LW	17	6	1	7	-3	8	0	18	35	42	11	23	14.29%	4	269	15.85	1	0	1	3	9	0	4	3	0	52.22%	383	0.52	0	0	0	1	1	0
12	Andreas Athanasiou	Predators	C/LW/RW	16	3	4	7	8	4	0	8	11	17	7	13	17.65%	2	120	7.52	0	0	0	0	1	0	0	1	0	36.70%	109	1.16	0	0	0	0	1	0
13	Ryan Dzingel	Predators	LW/RW	18	2	4	6	4	6	0	11	6	20	3	11	10.00%	2	127	7.09	0	0	0	0	0	0	0	1	0	0.00%	2	0.94	0	0	0	0	0	1
14	Jack Johnson	Predators	D	18	1	4	5	-5	24	0	62	12	19	6	14	5.26%	37	460	25.56	1	1	2	6	50	0	40	0	0	0.00%	0	0.22	0	0	0	0	0	0
15	Deryk Engelland	Predators	D	18	2	3	5	4	36	10	30	16	18	4	7	11.11%	30	293	16.32	0	0	0	1	2	0	45	0	0	0.00%	0	0.34	1	1	0	0	0	0
16	Kevan Miller	Predators	D	18	3	2	5	4	13	5	25	10	32	8	13	9.38%	18	360	20.01	1	0	1	9	49	0	2	1	0	0.00%	0	0.28	0	1	0	0	1	0
17	Danton Heinen	Predators	LW/RW	15	2	2	4	5	2	0	5	3	9	8	12	22.22%	1	102	6.81	0	0	0	0	0	0	0	0	0	20.00%	5	0.78	0	0	0	0	0	0
18	Alex Tuch	Predators	LW/RW	18	0	4	4	1	6	0	20	11	14	12	18	0.00%	1	206	11.49	0	1	1	1	5	0	0	0	0	38.46%	13	0.39	0	0	0	0	0	0
19	Gage Quinney	Predators	C/LW	2	0	0	0	1	0	0	1	4	1	0	0	0.00%	0	16	8.14	0	0	0	0	0	0	2	0	0	50.00%	14	0.00	0	0	0	0	0	0
20	Jayson Megna	Predators	C/RW	5	0	0	0	0	2	0	2	5	3	0	3	0.00%	0	44	8.93	0	0	0	0	0	0	0	0	0	38.78%	49	0.00	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				324	55	101	156	15	168	20	403	391	643	185	488	8.55%	209	5567	17.18	15	29	44	115	507	7	424	8	1	45.15%	1792	0.56	1	2	1	6	8	6

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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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Carey Price	Predators	18	8	7	3	0.928	2.86	1134	0	1	54	747	0	0	1	0.000	0	18	0	4	0	2
Stats d'équipe Total ou en Moyenne			18	8	7	3	0.928	2.86	1134	0	1	54	747	0	0	1	0.000	0	18	0	4	0	2

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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	Link
Adam Henrique	Predators	C/LW	31	1990-02-06	No	195 Lbs	6 ft0	No	No	No	4	Pro & Farm	6,500,000$	6,500,000$	0$	No	6,500,000$	6,500,000$	6,500,000$		Lien / Lien NHL
Adrian Kempe	Predators	C/LW	24	1996-09-13	No	195 Lbs	6 ft2	No	No	No	1	Pro & Farm	894,167$	894,167$	0$	No					Lien / Lien NHL
Alex Killorn	Predators	LW/RW	31	1989-09-14	No	196 Lbs	6 ft1	Yes	No	No	4	Pro & Farm	7,125,000$	7,125,000$	0$	No	7,125,000$	7,125,000$	7,125,000$		Lien / Lien NHL
Alex Tuch	Predators	LW/RW	25	1996-05-10	No	222 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,350,000$	1,350,000$	0$	No					Lien / Lien NHL
Andreas Athanasiou	Predators	C/LW/RW	26	1994-08-05	No	188 Lbs	6 ft2	No	No	No	1	Pro & Farm	3,700,000$	3,700,000$	0$	No					Lien / Lien NHL
Brandon Sutter	Predators	C	32	1989-02-14	No	191 Lbs	6 ft3	No	No	No	1	Pro & Farm	4,125,000$	4,125,000$	0$	No					Lien / Lien NHL
Carey Price	Predators	G	33	1987-08-15	No	215 Lbs	6 ft3	Yes	No	No	5	Pro & Farm	10,000,000$	10,000,000$	0$	No	10,000,000$	10,000,000$	10,000,000$	10,000,000$	Lien / Lien NHL
Danton Heinen	Predators	LW/RW	26	1995-07-05	No	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	995,833$	995,833$	0$	No					Lien / Lien NHL
Deryk Engelland	Predators	D	39	1982-04-03	No	214 Lbs	6 ft2	No	No	No	1	Pro & Farm	6,000,000$	6,000,000$	0$	No					Lien / Lien NHL
Dominik Kubalik	Predators	LW/RW	25	1995-08-21	Yes	179 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,775,000$	1,775,000$	0$	No	1,775,000$	1,775,000$			Lien / Lien NHL
Erik Cernak	Predators	D	24	1997-05-28	No	203 Lbs	6 ft3	No	No	No	2	Pro & Farm	890,000$	890,000$	0$	No	890,000$				Lien / Lien NHL
Gage Quinney	Predators	C/LW	25	1995-07-29	No	201 Lbs	6 ft0	No	No	No	1	Pro & Farm	715,000$	715,000$	0$	No					Lien / Lien NHL
Jack Johnson	Predators	D	34	1987-01-12	No	227 Lbs	6 ft1	No	No	No	1	Pro & Farm	7,000,000$	7,000,000$	0$	No					Lien / Lien NHL
Jayson Megna	Predators	C/RW	31	1990-02-01	No	195 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	No					Lien / Lien NHL
Kevan Miller	Predators	D	33	1987-11-15	No	210 Lbs	6 ft2	No	No	No	1	Pro & Farm	2,850,000$	2,850,000$	0$	No					Lien
Logan Couture	Predators	C	32	1989-03-28	No	205 Lbs	6 ft1	No	No	No	2	Pro & Farm	7,250,000$	7,250,000$	0$	No	7,250,000$				Lien / Lien NHL
Oscar Klefbom	Predators	D	27	1993-07-19	No	215 Lbs	6 ft3	No	No	No	1	Pro & Farm	5,000,000$	5,000,000$	0$	No					Lien / Lien NHL
Reilly Smith	Predators	LW/RW	30	1991-04-01	No	185 Lbs	6 ft0	No	No	No	3	Pro & Farm	6,500,000$	6,500,000$	0$	No	6,500,000$	6,500,000$			Lien / Lien NHL
Ryan Dzingel	Predators	LW/RW	29	1992-03-09	No	190 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,700,000$	1,700,000$	0$	No	1,700,000$				Lien / Lien NHL
Sam Reinhart	Predators	C/RW	25	1995-11-05	No	192 Lbs	6 ft1	No	No	No	3	Pro & Farm	5,500,000$	5,500,000$	0$	No	5,500,000$	5,500,000$			Lien / Lien NHL
Troy Grosenick	Predators	G	31	1989-08-27	No	185 Lbs	6 ft1	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	No	950,000$				Lien / Lien NHL
Zach Bogosian	Predators	D	31	1990-07-15	No	221 Lbs	6 ft3	No	No	No	1	Pro & Farm	5,060,000$	5,060,000$	0$	No					Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	29.27	200 Lbs	6 ft2	1.91	3,937,727$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
86,630,000$	48,190,000$	37,400,000$	23,625,000$	10,000,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Dominik Kubalik	Logan Couture	Alex Killorn	38	0	2	3
2	Reilly Smith	Adam Henrique	Sam Reinhart	32	0	2	3
3	Adrian Kempe	Brandon Sutter	Alex Tuch	25	0	2	3
4	Ryan Dzingel	Andreas Athanasiou	Danton Heinen	5	0	2	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Oscar Klefbom	Jack Johnson	40	0	3	2
2	Erik Cernak	Kevan Miller	31	0	3	2
3	Deryk Engelland	Zach Bogosian	19	0	3	2
4	Oscar Klefbom	Jack Johnson	10	0	3	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Reilly Smith	Logan Couture	Dominik Kubalik	50	0	0	5
2	Alex Killorn	Adrian Kempe	Sam Reinhart	50	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Oscar Klefbom	Jack Johnson	50	0	0	5
2	Erik Cernak	Kevan Miller	50	0	0	5

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Logan Couture	Alex Killorn	50	0	5	0
2	Brandon Sutter	Reilly Smith	50	0	5	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Oscar Klefbom	Jack Johnson	50	0	5	0
2	Deryk Engelland	Erik Cernak	50	0	5	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Logan Couture	50	0	5	0	Oscar Klefbom	Jack Johnson	50	0	5	0
2	Brandon Sutter	50	0	5	0	Deryk Engelland	Erik Cernak	50	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Logan Couture	Alex Killorn	50	0	1	4
2	Adam Henrique	Dominik Kubalik	50	0	1	4

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Oscar Klefbom	Jack Johnson	50	0	2	3
2	Erik Cernak	Kevan Miller	50	0	2	3

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Alex Killorn	Logan Couture	Dominik Kubalik	Oscar Klefbom	Jack Johnson

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Alex Killorn	Logan Couture	Reilly Smith	Oscar Klefbom	Jack Johnson

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Sam Reinhart, Dominik Kubalik, Logan Couture	Adrian Kempe, Alex Tuch	Adrian Kempe

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Deryk Engelland, Jack Johnson, Erik Cernak	Deryk Engelland	Zach Bogosian, Jack Johnson

Tirs de Pénalité
Danton Heinen, Logan Couture, Sam Reinhart, Reilly Smith, Dominik Kubalik

Gardien
#1 : , #2 : Troy Grosenick

Lignes d'Attaque Perso. en Prol.
Logan Couture, Sam Reinhart, Alex Killorn, Brandon Sutter, Reilly Smith, Dominik Kubalik, Dominik Kubalik, Adrian Kempe, Alex Tuch, Ryan Dzingel, Danton Heinen

Lignes de Défense Perso. en Prol.
Oscar Klefbom, Jack Johnson, Kevan Miller, Erik Cernak, Zach Bogosian

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	Canucks	4	0	4	0	0	0	0	0	13	19	-6	2	0	2	0	0	0	0	0	7	9	-2	2	0	2	0	0	0	0	0	6	10	-4	0	0.000	13	23	36	0	0	3	5	5	0	159	38	51	43	27	220	54	32	98	17	6	35.29%	16	6	62.50%	0	306	688	44.48%	371	806	46.03%	132	298	44.30%	105	68	120	38	65	32
2	Oilers	7	4	3	0	0	0	0	0	21	18	3	4	3	1	0	0	0	0	0	12	8	4	3	1	2	0	0	0	0	0	9	10	-1	8	0.571	21	40	61	0	1	10	7	3	1	251	87	81	82	1	248	64	54	158	25	5	20.00%	20	7	65.00%	0	306	688	44.48%	371	806	46.03%	132	298	44.30%	156	106	172	53	91	44
3	Stars	7	4	3	0	0	0	0	0	21	18	3	3	2	1	0	0	0	0	0	10	7	3	4	2	2	0	0	0	0	0	11	11	0	8	0.571	21	38	59	1	0	9	7	4	1	233	77	84	71	1	280	91	82	147	17	4	23.53%	28	5	82.14%	0	306	688	44.48%	371	806	46.03%	132	298	44.30%	158	108	178	52	87	42
	Total	18	8	10	0	0	0	0	0	55	55	0	9	5	4	0	0	0	0	0	29	24	5	9	3	6	0	0	0	0	0	26	31	-5	16	0.444	55	101	156	1	1	22	19	12	2	643	202	216	196	29	748	209	168	403	59	15	25.42%	64	18	71.88%	0	306	688	44.48%	371	806	46.03%	132	298	44.30%	420	284	471	144	244	119
	_Since Last GM Reset	18	8	10	0	0	0	0	0	55	55	0	9	5	4	0	0	0	0	0	29	24	5	9	3	6	0	0	0	0	0	26	31	-5	16	0.444	55	101	156	1	1	22	19	12	2	643	202	216	196	29	748	209	168	403	59	15	25.42%	64	18	71.88%	0	306	688	44.48%	371	806	46.03%	132	298	44.30%	420	284	471	144	244	119
	_Vs Conference	18	8	10	0	0	0	0	0	55	55	0	9	5	4	0	0	0	0	0	29	24	5	9	3	6	0	0	0	0	0	26	31	-5	16	0.444	55	101	156	1	1	22	19	12	2	643	202	216	196	29	748	209	168	403	59	15	25.42%	64	18	71.88%	0	306	688	44.48%	371	806	46.03%	132	298	44.30%	420	284	471	144	244	119
	_Vs Division	7	4	3	0	0	0	0	0	21	18	3	3	2	1	0	0	0	0	0	10	7	3	4	2	2	0	0	0	0	0	11	11	0	8	0.571	21	38	59	1	0	9	7	4	1	233	77	84	71	1	280	91	82	147	17	4	23.53%	28	5	82.14%	0	306	688	44.48%	371	806	46.03%	132	298	44.30%	158	108	178	52	87	42

			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
18	16	L1	55	101	156	643	748	209	168	403	1	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	8	10	0	0	0	0	55	55

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	5	4	0	0	0	0	29	24

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	3	6	0	0	0	0	26	31

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

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
59	15	25.42%	64	18	71.88%	0

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
202	216	196	29	22	19	12	2

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
306	688	44.48%	371	806	46.03%	132	298	44.30%

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
420	284	471	144	244	119

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	Lien
2 - 2020-10-25	6	Predators	3	Stars	4	L		Sommaire du Match
4 - 2020-10-27	14	Predators	3	Stars	2	W	X	Sommaire du Match
6 - 2020-10-29	22	Stars	4	Predators	2	L		Sommaire du Match
8 - 2020-10-31	30	Stars	2	Predators	4	W		Sommaire du Match
10 - 2020-11-02	38	Predators	2	Stars	3	L	X	Sommaire du Match
12 - 2020-11-04	46	Stars	1	Predators	4	W		Sommaire du Match
14 - 2020-11-06	54	Predators	3	Stars	2	W		Sommaire du Match
16 - 2020-11-08	59	Oilers	4	Predators	0	L		Sommaire du Match
18 - 2020-11-10	63	Oilers	0	Predators	4	W		Sommaire du Match
20 - 2020-11-12	67	Predators	4	Oilers	2	W		Sommaire du Match
22 - 2020-11-14	71	Predators	3	Oilers	5	L		Sommaire du Match
24 - 2020-11-16	75	Oilers	1	Predators	4	W		Sommaire du Match
26 - 2020-11-18	79	Predators	2	Oilers	3	L		Sommaire du Match
28 - 2020-11-20	83	Oilers	3	Predators	4	W	X	Sommaire du Match
30 - 2020-11-22	86	Predators	3	Canucks	4	L	X	Sommaire du Match
32 - 2020-11-24	88	Predators	3	Canucks	6	L		Sommaire du Match
34 - 2020-11-26	90	Canucks	4	Predators	3	L	X	Sommaire du Match
36 - 2020-11-28	92	Canucks	5	Predators	4	L		Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	4000	3000	1000
Prix des Billets	225	165	135	100	300
Assistance	42,229	35,888	27,083	20,311	7,965
Attendance PCT	78.20%	79.75%	75.23%	75.23%	88.50%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
32	14831 - 78.06%	2,611,094$	23,499,850$	19000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	86,630,000$	85,590,005$	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
0$	0$	0$	22	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	0$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	175,224,701$	175,224,701$

Cap Salarial de la Saison Éstimé	Cap Salarial Disponible	Cap Salarial Maximum	Au dessus du Plafond Salarial Minimum
0$	81,500,000$	81,500,000$	-60,200,000$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Alex Killorn	AGE:31	PO:83	OV:75
Adam Henrique	AGE:31	PO:79	OV:73
Reilly Smith	AGE:30	PO:80	OV:72
Adrian Kempe	AGE:24	PO:74	OV:71
Dominik Kubalik (R)	AGE:25	PO:80	OV:69
Andreas Athanasiou	AGE:26	PO:73	OV:69
Ryan Dzingel	AGE:29	PO:69	OV:67
Danton Heinen	AGE:26	PO:70	OV:66
Alex Tuch	AGE:25	PO:70	OV:66
Gage Quinney	AGE:25	PO:67	OV:63
Stefan Matteau	AGE:27	PO:64	OV:62
Justin Dowling	AGE:30	PO:64	OV:62
Greg Carey	AGE:31	PO:64	OV:62
Lean Bergmann (R)	AGE:22	PO:60	OV:57
Nick Lappin	AGE:28	PO:57	OV:57
Brandon Gignac (R)	AGE:23	PO:57	OV:57

Logan Couture	AGE:32	PO:81	OV:75
Adam Henrique	AGE:31	PO:79	OV:73
Sam Reinhart	AGE:25	PO:79	OV:73
Adrian Kempe	AGE:24	PO:74	OV:71
Andreas Athanasiou	AGE:26	PO:73	OV:69
Brandon Sutter	AGE:32	PO:72	OV:68
Jayson Megna	AGE:31	PO:68	OV:65
Gage Quinney	AGE:25	PO:67	OV:63
Morgan Frost (R)	AGE:22	PO:64	OV:63
Gaetan Haas (R)	AGE:29	PO:64	OV:62
Justin Dowling	AGE:30	PO:64	OV:62
Greg Carey	AGE:31	PO:64	OV:62
Logan Shaw	AGE:28	PO:63	OV:61
J.C. Beaudin (R)	AGE:24	PO:62	OV:60
Brandon Gignac (R)	AGE:23	PO:57	OV:57
Adam Musil	AGE:27	PO:56	OV:57

Alex Killorn	AGE:31	PO:83	OV:75
Sam Reinhart	AGE:25	PO:79	OV:73
Reilly Smith	AGE:30	PO:80	OV:72
Dominik Kubalik (R)	AGE:25	PO:80	OV:69
Andreas Athanasiou	AGE:26	PO:73	OV:69
Ryan Dzingel	AGE:29	PO:69	OV:67
Danton Heinen	AGE:26	PO:70	OV:66
Alex Tuch	AGE:25	PO:70	OV:66
Jayson Megna	AGE:31	PO:68	OV:65
Justin Dowling	AGE:30	PO:64	OV:62
Austin Poganski	AGE:25	PO:64	OV:61
Logan Shaw	AGE:28	PO:63	OV:61
Lean Bergmann (R)	AGE:22	PO:60	OV:57
Nick Lappin	AGE:28	PO:57	OV:57

Défense #1

Défense #2

Gardien

Oscar Klefbom	AGE:27	PO:70	OV:75
Jack Johnson	AGE:34	PO:65	OV:72
Erik Cernak	AGE:24	PO:65	OV:71
Deryk Engelland	AGE:39	PO:63	OV:69
Kevan Miller	AGE:33	PO:63	OV:69
Zach Bogosian	AGE:31	PO:62	OV:68

Dennis Cholowski	AGE:23	PO:61	OV:65
Kevin Connauton	AGE:31	PO:60	OV:65
Stuart Percy	AGE:28	PO:54	OV:58
Julius Bergman	AGE:25	PO:52	OV:58
Dennis Robertson	AGE:30	PO:52	OV:58
Aaron Harstad	AGE:29	PO:1	OV:52

Carey Price	AGE:33	PO:80	OV:78
Troy Grosenick	AGE:31	PO:66	OV:64
Pheonix Copley	AGE:29	PO:59	OV:60
Joseph Woll (R)	AGE:23	PO:52	OV:54

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
Anton Andersson	Predators	2017	208
Ben McCartney	Predators	2020	210
Blake Heinrich	Predators	2013	185
Brandon Hagel	Predators	2016	149
Brayden Chizen	Predators	2016	209
Brock Faber	Predators	2020	66
Chris Martenet	Predators	2015	99
David Drake	Predators	2013	192
Dustin Wolf	Predators	2019	117
Dylan Cozens	Predators	2019	10
Felix Bibeau	Predators	2019	162
Gage Goncalves	Predators	2020	62
Hayden Hawkey	Predators	2014	174
Jakub Dobes	Predators	2020	186
Jason Kasdorf	Predators	2011	166
Jeremiah Addison	Predators	2015	165
Jesper Pettersson	Predators	2014	204
Lassi Thomson	Predators	2019	17
Matthew Wedman	Predators	2019	171
Nathan Legare	Predators	2019	62
Nils Hoglander	Predators	2019	20
Noel Hoefenmayer	Predators	2017	110
Ozzy Wiesblatt	Predators	2020	31
Spencer Knight	Predators	2019	8
Terrance Amorosa	Predators	2013	159
Tyler Vesel	Predators	2014	178
Tyler Weiss	Predators	2018	126
Ville Heinola	Predators	2019	16
Zachary Bouthillier	Predators	2018	210
Zachary Pochiro	Predators	2013	132

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2021	NSH	NSH	WPG NSH	WSH NSH	NSH	NSH	NSH
2022	NSH	NSH	NSH			NSH	NSH
2023	NSH	NSH	NSH	NSH	NSH	NSH	NSH
2024	NSH	NSH	NSH	NSH	NSH	NSH	NSH
2025	NSH	NSH	NSH	NSH	NSH	NSH	NSH

La base de donnée des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.

[2021-07-08 9:59:51 PM] - Admirals was eliminated at round 3 of year 2020.
[2021-07-07 4:46:44 PM] - Predators was eliminated at round 3 of year 2020.
[2021-05-27 10:10:13 PM] - Kevin Connauton was added to Predators.
[2021-05-27 10:10:13 PM] - Predators claimed Kevin Connauton from waivers by Canadiens for $1,000,000.
[2021-05-27 10:09:32 PM] - Predators show interest in Kevin Connauton from waiver.
[2021-05-26 6:19:05 PM] - Austin Poganski was added to Predators.
[2021-05-26 6:19:05 PM] - Predators claimed Austin Poganski from waivers by Lightning for $1,000,000.
[2021-05-26 6:17:54 PM] - Predators show interest in Austin Poganski from waiver.
[2021-05-16 5:40:23 PM] - Kevin Connauton was added to Predators.
[2021-05-16 5:40:23 PM] - Predators claimed Kevin Connauton from waivers by Canadiens for $1,000,000.
[2021-05-16 5:39:31 PM] - Predators show interest in Kevin Connauton from waiver.
[2021-04-18 9:13:30 PM] - TRADE : From Wild to Predators : Zach Bogosian (68).
[2021-04-18 9:13:30 PM] - TRADE : From Predators to Wild : Y:2022-RND:4-NSH.
[2020-12-16 4:56:09 PM] - New Record for Team's Most Shots (66) in 1 Game for Predators!
[2020-12-08 4:22:53 PM] - TRADE : From Predators to Wild : Y:2021-RND:7-WSH.
[2020-12-08 4:22:53 PM] - TRADE : From Wild to Predators : Troy Grosenick (64).
[2020-11-22 6:58:14 PM] - TRADE : From Predators to Bruins : Joel Kellman (62).
[2020-11-22 6:58:14 PM] - TRADE : From Bruins to Predators : $1,000,000 (Money).
[2020-11-18 2:45:57 PM] - TRADE : From Predators to Hurricanes : Jordan Staal (71), Y:2022-RND:5-NSH.
[2020-11-18 2:45:57 PM] - TRADE : From Hurricanes to Predators : Brandon Sutter (68).
[2020-11-18 2:43:56 PM] - Deryk Engelland has been selected as assistant for Predators.
[2020-11-18 2:43:56 PM] - Unknown Player is no longer as assistant for Predators.
[2020-11-14 7:43:37 PM] - Deven Sideroff was released.
[2020-11-14 7:43:37 PM] - Predators paid $0 to release Deven Sideroff.
[2020-11-14 7:43:23 PM] - Charles Hudon was released.
[2020-11-14 7:43:23 PM] - Predators paid $0 to release Charles Hudon.

[2021-07-09 4:05:30 PM] Carey Price from Predators is back from Exhaustion.
[2021-07-08 9:59:51 PM] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2021-07-07 4:46:44 PM] Admirals lines for next game are empty. Current rosters/lines are not erased. But, Predators lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2021-07-07 4:46:44 PM] Carey Price from Predators injured (Exhaustion)
[2021-07-07 4:46:19 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2021-07-06 7:25:28 PM] Carey Price from Predators is back from Exhaustion.
[2021-07-06 7:25:28 PM] Last 7 Days Farm Star : 1 - Alexandar Georgiev of Comets (0.920) / 2 - Stefan Matteau of Admirals (2-4-6) / 3 - Anthony Cirelli of Condors (2-2-4)
[2021-07-05 4:32:12 PM] Admirals lines for next game are empty. Current rosters/lines are not erased. But, Predators lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2021-07-05 4:32:12 PM] Carey Price from Predators injured (Exhaustion)
[2021-07-03 9:27:30 PM] Admirals lines for next game are empty. Current rosters/lines are not erased. But, Predators lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2021-07-03 9:27:20 PM] Auto Roster Partial Function has been run for Predators.
[2021-07-03 9:27:20 PM] Admirals roster errors : Too many Players available in Farm Team! 18 Dressed. Maximum is 17. Some errors will be automatically fixed.
[2021-06-29 4:36:14 PM] Last 30 Days Pro Star : 1 - Carey Price of Predators (0.934) / 2 - Connor Hellebuyck of Lightning (0.936) / 3 - Pavel Francouz of Bruins (0.940)
[2021-06-29 4:36:10 PM] Auto Roster Partial Function has been run for Predators.
[2021-06-29 4:36:10 PM] Admirals roster errors : Too many Players available in Farm Team! 18 Dressed. Maximum is 17. Some errors will be automatically fixed.
[2021-06-28 4:49:34 PM] Last 7 Days Farm Star : 1 - Justin Dowling of Admirals (3-2-5) / 2 - Greg Carey of Admirals (1-3-4) / 3 - Lean Bergmann of Admirals (2-1-3)
[2021-06-28 4:49:34 PM] Last 7 Days Pro Star : 1 - Adrian Kempe of Predators (3-3-6) / 2 - Blake Coleman of Bruins (3-1-4) / 3 - Ryan Nugent-Hopkins of Oilers (3-4-7)
[2021-06-28 4:49:29 PM] Auto Roster Partial Function has been run for Predators.
[2021-06-28 4:49:29 PM] Admirals roster errors : Too many Players available in Farm Team! 18 Dressed. Maximum is 17. Some errors will be automatically fixed.
[2021-06-28 4:47:19 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2021-06-27 10:35:16 AM] Auto Roster Partial Function has been run for Predators.
[2021-06-27 10:35:16 AM] Admirals roster errors : Too many Players available in Farm Team! 18 Dressed. Maximum is 17. Some errors will be automatically fixed.
[2021-06-25 4:56:16 PM] Auto Roster Partial Function has been run for Predators.
[2021-06-25 4:56:16 PM] Admirals roster errors : Too many Players available in Farm Team! 18 Dressed. Maximum is 17. Some errors will be automatically fixed.
[2021-06-22 10:15:06 PM] Auto Roster Partial Function has been run for Predators.
[2021-06-22 10:15:06 PM] Admirals roster errors : Too many Players available in Farm Team! 18 Dressed. Maximum is 17. Some errors will be automatically fixed.
[2021-06-20 9:03:10 PM] Auto Roster Partial Function has been run for Predators.
[2021-06-20 9:03:10 PM] Admirals roster errors : Too many Players available in Farm Team! 18 Dressed. Maximum is 17. Some errors will be automatically fixed.
[2021-06-18 6:06:38 PM] Auto Roster Partial Function has been run for Predators.
[2021-06-18 6:06:37 PM] Admirals roster errors : Too many Players available in Farm Team! 18 Dressed. Maximum is 17. Some errors will be automatically fixed.
[2021-06-16 4:29:43 PM] Auto Roster Partial Function has been run for Predators.
[2021-06-16 4:29:43 PM] Admirals roster errors : Too many Players available in Farm Team! 18 Dressed. Maximum is 17. Some errors will be automatically fixed.
[2021-06-14 4:27:12 PM] Last 7 Days Pro Star : 1 - Oscar Klefbom of Predators (3-3-6) / 2 - Carey Price of Predators (0.942) / 3 - Tom Wilson of Flames (1-6-7)
[2021-06-12 7:09:44 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2021-06-11 9:54:42 PM] Andreas Athanasiou from Predators is back from Right Hand Injury.
[2021-06-10 4:53:42 PM] Adam Henrique from Predators is back from Right Knee Injury.
[2021-06-10 4:53:31 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2021-06-10 4:52:35 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2021-06-10 4:51:15 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2021-06-10 4:50:26 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2021-06-10 4:50:00 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2021-06-10 4:49:20 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2021-06-08 4:59:04 PM] Brandon Sutter from Predators is back from Right Leg Injury.
[2021-06-08 4:59:03 PM] Game 30 - Adam Henrique from Predators is injured (Right Knee) and is out for 1 week.
[2021-06-08 4:58:58 PM] Auto Roster Partial Function has been run for Predators.
[2021-06-08 4:58:58 PM] Admirals roster errors : Too many Players available in Farm Team! 18 Dressed. Maximum is 17. Some errors will be automatically fixed.
[2021-06-08 4:58:54 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2021-06-08 4:58:35 PM] Admirals roster errors : Too many Players available in Farm Team! 18 Dressed. Maximum is 17. Some errors will be automatically fixed.
[2021-06-08 4:58:27 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2021-06-08 4:58:10 PM] Auto Roster Partial Function has been run for Predators.

Pas de Blessure ou de Suspension.

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
2020	82	36	33	0	3	2	5	3	265	248	17	41	21	13	0	2	0	4	1	142	111	31	41	15	20	0	1	2	1	2	123	137	-14	93	265	472	737	1	5	93	83	81	17	2981	971	967	1006	75	2685	806	662	1748	268	66	24.63%	269	47	82.53%	1	1568	3167	49.51%	1469	2937	50.02%	655	1328	49.32%	1919	1327	2003	604	1046	511
Total Saison Régulière	82	36	33	0	3	2	5	3	265	248	17	41	21	13	0	2	0	4	1	142	111	31	41	15	20	0	1	2	1	2	123	137	-14	93	265	472	737	1	5	93	83	81	17	2981	971	967	1006	75	2685	806	662	1748	268	66	24.63%	269	47	82.53%	1	1568	3167	49.51%	1469	2937	50.02%	655	1328	49.32%	1919	1327	2003	604	1046	511
2020	18	8	10	0	0	0	0	0	55	55	0	9	5	4	0	0	0	0	0	29	24	5	9	3	6	0	0	0	0	0	26	31	-5	16	55	101	156	1	1	22	19	12	2	643	202	216	196	29	748	209	168	403	59	15	25.42%	64	18	71.88%	0	306	688	44.48%	371	806	46.03%	132	298	44.30%	420	284	471	144	244	119
Total Séries	18	8	10	0	0	0	0	0	55	55	0	9	5	4	0	0	0	0	0	29	24	5	9	3	6	0	0	0	0	0	26	31	-5	16	55	101	156	1	1	22	19	12	2	643	202	216	196	29	748	209	168	403	59	15	25.42%	64	18	71.88%	0	306	688	44.48%	371	806	46.03%	132	298	44.30%	420	284	471	144	244	119

	Predators
	GP: 18 \| W: 8 \| L: 10 GF: 55 \| GA: 55 \| PP%: 25.42% \| PK%: 71.88% DG: Tyler W \| Morale : 50 \| Moyenne d'Équipe : 70