PIFFPACK - Predateurs

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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
1	Vincent Trocheck	X				100.00	76	44	82	95	62	96	95	85	94	81	82	72	76	62	60	64	62	86	0
2	Filip Forsberg		X			100.00	71	43	81	86	75	88	83	82	63	82	80	66	74	63	59	83	62	83	0
3	Wayne Simmonds			X		100.00	75	45	79	86	81	89	91	84	70	61	75	66	75	80	67	54	62	81	0
4	Cam Atkinson			X		100.00	61	41	86	88	57	90	82	76	63	69	80	69	71	67	59	40	62	80	0
5	Bryan Little	X		X		100.00	63	42	84	83	69	87	97	77	86	66	67	69	69	80	65	66	62	74	0
6	Darren Helm		X			100.00	80	42	83	78	70	84	90	68	71	59	64	85	68	72	63	45	62	74	0
7	Valtteri Filppula	X				100.00	59	42	85	80	70	86	98	72	81	62	61	77	67	85	68	33	62	74	0
8	Michael Grabner		X	X		100.00	66	41	86	89	70	82	96	72	66	48	80	72	81	72	63	65	62	73	0
9	Mikkel Boedker		X			100.00	61	41	81	79	74	81	89	72	57	65	68	74	71	74	62	70	62	73	0
10	Ryan Callahan			X		100.00	79	42	78	79	63	82	88	71	69	56	57	78	65	78	73	34	62	73	0
11	Patrick Eaves		X	X		100.00	55	40	89	79	71	86	31	60	50	58	82	75	73	75	71	42	62	72	0
12	Curtis Lazar	X	X	X		100.00	78	42	74	79	74	74	82	72	68	53	53	71	64	59	57	82	62	68	0
13	Marc-Edouard Vlasic				X	100.00	58	41	91	84	75	91	96	77	30	61	61	89	71	85	72	59	62	79	0
14	Brent Seabrook				X	100.00	68	43	86	70	84	85	98	81	30	60	57	84	66	90	85	50	62	78	0
15	Oliver Ekman-Larsson				X	100.00	80	43	86	84	75	94	97	80	30	67	65	79	71	72	74	75	62	78	0
16	Jack Johnson				X	100.00	70	42	90	70	81	84	98	75	30	49	53	84	67	81	72	69	62	76	0
17	Jeff Petry				X	100.00	81	42	88	79	80	94	97	71	30	69	63	74	71	71	67	57	62	76	0
18	Thomas Hickey				X	100.00	69	41	86	71	68	81	85	74	30	64	57	78	67	66	60	72	62	72	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	69	42	84	81	72	86	89	75	57	63	67	76	70	74	67	59	62	76

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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	Corey Crawford	100.00	81	80	91	86	89	92	93	91	95	80	77	81	81	38	62	85	0
2	Cory Schneider	100.00	82	87	95	83	84	85	85	84	84	80	80	78	80	49	62	81	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	82	84	93	85	87	89	89	88	90	80	79	80	81	44	62	83

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Claude Julien	60	75	70	86	90	72	54	CAN	58	4	1,000,000$

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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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	PSG	PSS	S1	S2	S3
1	Filip Forsberg	Predateurs	LW	30	14	25	39	0	26	56	31	139	40	89	10.07%	12	636	21.23	8	13	21	31	130	0	0	0	0	6	2	0	59.26%	54	28	8	1	1.22	2	3	7	0	1
2	Vincent Trocheck	Predateurs	C	30	19	20	39	-1	22	56	49	167	39	106	11.38%	10	630	21.01	7	11	18	27	131	0	0	0	1	1	4	1	52.91%	979	39	16	1	1.24	0	3	2	5	2
3	Cam Atkinson	Predateurs	RW	30	9	15	24	4	10	33	35	89	29	57	10.11%	13	479	15.99	3	5	8	14	101	0	0	0	0	0	1	0	52.17%	23	23	5	0	1.00	0	0	0	3	1
4	Wayne Simmonds	Predateurs	RW	30	8	13	21	0	40	48	28	63	22	57	12.70%	17	625	20.84	4	4	8	18	130	0	0	0	0	0	0	0	45.28%	53	6	12	0	0.67	1	1	1	0	5
5	Brent Seabrook	Predateurs	D	30	2	17	19	5	10	37	51	52	29	28	3.85%	56	746	24.87	2	7	9	12	144	0	0	0	0	98	0	0	0.00%	0	10	25	0	0.51	0	0	0	1	1
6	Bryan Little	Predateurs	C/RW	30	8	11	19	5	16	46	44	73	29	52	10.96%	7	502	16.75	0	4	4	10	101	0	0	0	0	8	1	2	54.13%	412	14	4	0	0.76	0	0	1	0	1
7	Michael Grabner	Predateurs	LW/RW	30	8	5	13	4	8	33	23	67	13	34	11.94%	10	485	16.20	4	0	4	8	101	0	0	0	1	0	1	0	41.67%	24	15	5	0	0.53	0	3	1	0	1
8	Oliver Ekman-Larsson	Predateurs	D	30	3	9	12	-2	24	61	46	59	28	22	5.08%	31	752	25.10	3	3	6	16	143	0	1	1	2	57	1	2	0.00%	0	14	13	0	0.32	0	0	0	0	0
9	Ryan Callahan	Predateurs	RW	30	6	5	11	-1	16	30	22	37	16	27	16.22%	8	351	11.72	0	0	0	0	6	0	0	0	1	36	0	0	30.77%	13	9	6	0	0.63	0	0	0	2	0
10	Valtteri Filppula	Predateurs	C	30	3	8	11	3	8	26	37	60	23	35	5.00%	11	415	13.85	0	0	0	0	0	1	1	2	7	97	0	1	50.14%	349	19	6	0	0.53	0	0	0	0	1
11	Darren Helm	Predateurs	LW	30	6	4	10	3	4	31	31	57	15	26	10.53%	14	417	13.90	0	0	0	0	1	2	0	2	6	98	1	0	52.94%	17	8	7	0	0.48	0	0	0	0	1
12	Marc-Edouard Vlasic	Predateurs	D	30	2	7	9	-4	6	24	56	43	22	23	4.65%	43	813	27.11	1	1	2	3	91	0	1	1	1	98	0	0	0.00%	0	12	30	0	0.22	0	0	1	0	0
13	Curtis Lazar	Predateurs	C/LW/RW	30	3	1	4	-1	6	32	7	28	4	20	10.71%	6	275	9.18	0	0	0	0	6	0	0	0	1	60	2	1	34.07%	91	1	3	0	0.29	0	0	1	0	0
14	Jack Johnson	Predateurs	D	30	0	4	4	3	0	17	35	22	5	9	0.00%	46	530	17.68	0	3	3	3	93	0	0	0	0	67	0	0	0.00%	0	0	18	0	0.15	0	0	0	0	0
15	Jeff Petry	Predateurs	D	30	0	4	4	4	10	23	25	25	6	7	0.00%	35	421	14.05	0	0	0	0	2	0	0	0	0	1	0	0	0.00%	0	3	15	0	0.19	0	0	0	0	0
16	Patrick Eaves	Predateurs	LW/RW	30	3	1	4	-2	6	4	7	18	7	9	16.67%	10	197	6.57	0	0	0	1	4	0	0	0	0	0	1	1	20.00%	5	11	3	0	0.41	0	0	0	0	0
17	Mikkel Boedker	Predateurs	LW	30	1	2	3	-3	2	14	14	44	7	36	2.27%	8	229	7.66	0	0	0	0	0	0	0	0	0	28	0	1	35.00%	20	6	6	0	0.26	0	0	0	0	1
18	Thomas Hickey	Predateurs	D	30	0	2	2	3	6	15	24	12	10	4	0.00%	21	356	11.88	0	0	0	0	1	0	0	0	0	16	0	0	0.00%	0	1	11	0	0.11	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				540	95	153	248	20	220	586	565	1055	344	641	9.00%	358	8867	16.42	32	51	83	143	1191	3	3	6	20	680	14	9	51.27%	2040	219	193	2	0.56	3	10	14	11	15

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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	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2
1	Cory Schneider	Predateurs	14	9	4	0	0.925	2.52	810	2	34	454	220	1	0	1.000	3	13	17	0	3
2	Corey Crawford	Predateurs	17	7	9	1	0.905	3.12	1001	0	52	547	236	3	1	0.714	7	17	13	2	1
Stats d'équipe Total ou en Moyenne			31	16	13	1	0.914	2.85	1811	2	86	1001	456	4	1	0.800	10	30	30	2	4

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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	Status	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
Brent Seabrook	Predateurs	D	32	1985-04-20	No	220 Lbs	6 ft3	No	No	No	5	Sans Restriction	Pro & Farm	6,875,000$	6,875,000$	4,448,529$	No	6,875,000$	6,875,000$	6,875,000$	6,875,000$			Lien
Bryan Little	Predateurs	C/RW	29	1987-11-12	No	191 Lbs	6 ft0	No	No	No	6	Sans Restriction	Pro & Farm	5,291,666$	5,291,666$	3,424,019$	No	5,291,666$	5,291,666$	5,291,666$	5,291,666$	5,291,666$		Lien
Cam Atkinson	Predateurs	RW	28	1989-06-05	No	179 Lbs	5 ft8	No	No	No	7	Sans Restriction	Pro & Farm	5,750,000$	5,750,000$	3,720,588$	No	5,750,000$	5,750,000$	5,750,000$	5,750,000$	5,750,000$	5,750,000$	Lien
Corey Crawford	Predateurs	G	32	1984-12-31	No	216 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$	3,882,353$	No	6,000,000$						Lien
Cory Schneider	Predateurs	G	31	1986-03-18	No	200 Lbs	6 ft3	No	No	No	4	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$	3,882,353$	No	6,000,000$	6,000,000$	6,000,000$				Lien
Curtis Lazar	Predateurs	C/LW/RW	22	1995-02-02	No	209 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	950,000$	950,000$	614,706$	No							Lien
Darren Helm	Predateurs	LW	30	1987-01-21	No	196 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	1,500,000$	1,500,000$	970,588$	No	1,500,000$						Lien
Filip Forsberg	Predateurs	LW	23	1994-08-13	No	205 Lbs	6 ft1	No	No	No	4	Contrat d'Entrée	Pro & Farm	6,000,000$	6,000,000$	3,882,353$	No	6,000,000$	6,000,000$	6,000,000$				Lien
Jack Johnson	Predateurs	D	30	1987-01-13	No	227 Lbs	6 ft1	No	No	No	5	Sans Restriction	Pro & Farm	3,250,000$	3,250,000$	2,102,941$	No	3,250,000$	3,250,000$	3,250,000$	3,250,000$			Lien
Jeff Petry	Predateurs	D	29	1987-12-09	No	208 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	5,500,000$	5,500,000$	3,558,824$	No	5,500,000$	5,500,000$					Lien
Marc-Edouard Vlasic	Predateurs	D	30	1987-03-30	No	205 Lbs	6 ft1	No	No	No	7	Sans Restriction	Pro & Farm	7,000,000$	7,000,000$	4,529,412$	No	7,000,000$	7,000,000$	7,000,000$	7,000,000$	7,000,000$	7,000,000$	Lien
Michael Grabner	Predateurs	LW/RW	29	1987-10-05	No	188 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	1,500,000$	1,500,000$	970,588$	No	1,500,000$						Lien
Mikkel Boedker	Predateurs	LW	27	1989-12-16	No	210 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	4,000,000$	4,000,000$	2,588,235$	No	4,000,000$						Lien
Oliver Ekman-Larsson	Predateurs	D	26	1991-07-17	No	200 Lbs	6 ft2	No	No	No	1	Contrat d'Entrée	Pro & Farm	5,500,000$	5,500,000$	3,558,824$	No							Lien
Patrick Eaves	Predateurs	LW/RW	33	1984-05-01	No	202 Lbs	5 ft10	No	No	No	2	Sans Restriction	Pro & Farm	3,150,000$	3,150,000$	2,038,235$	No	3,150,000$						Lien
Ryan Callahan	Predateurs	RW	32	1985-03-21	No	187 Lbs	5 ft10	No	No	No	1	Sans Restriction	Pro & Farm	750,000$	750,000$	485,294$	No							Lien
Thomas Hickey	Predateurs	D	28	1989-02-08	No	188 Lbs	6 ft0	No	No	No	4	Sans Restriction	Pro & Farm	2,500,000$	2,500,000$	1,617,647$	No	2,500,000$	2,500,000$	2,500,000$				Lien
Valtteri Filppula	Predateurs	C	33	1984-03-20	No	196 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$	647,059$	No							Lien
Vincent Trocheck	Predateurs	C	24	1993-07-11	No	182 Lbs	5 ft10	No	No	No	4	Contrat d'Entrée	Pro & Farm	4,750,000$	4,750,000$	3,073,529$	No	4,750,000$	4,750,000$	4,750,000$				Lien
Wayne Simmonds	Predateurs	RW	29	1988-08-26	No	185 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	3,975,000$	3,975,000$	2,572,059$	No							Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	28.85	200 Lbs	6 ft0	3.20	4,062,083$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
81,241,666$	69,066,666$	52,916,666$	47,416,666$	28,166,666$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Filip Forsberg	Vincent Trocheck	Wayne Simmonds	40	1	2	2
2	Michael Grabner	Bryan Little	Cam Atkinson	30	1	2	2
3	Darren Helm	Valtteri Filppula	Ryan Callahan	20	1	2	2
4	Mikkel Boedker	Curtis Lazar	Patrick Eaves	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Marc-Edouard Vlasic	Oliver Ekman-Larsson	40	1	2	2
2	Brent Seabrook	Jeff Petry	30	1	2	2
3	Jack Johnson	Thomas Hickey	20	1	2	2
4	Marc-Edouard Vlasic	Brent Seabrook	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Filip Forsberg	Vincent Trocheck	Wayne Simmonds	60	1	2	2
2	Michael Grabner	Bryan Little	Cam Atkinson	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brent Seabrook	Oliver Ekman-Larsson	60	1	2	2
2	Marc-Edouard Vlasic	Jack Johnson	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Valtteri Filppula	Darren Helm	60	1	2	2
2	Curtis Lazar	Ryan Callahan	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Marc-Edouard Vlasic	Brent Seabrook	60	1	2	2
2	Jack Johnson	Oliver Ekman-Larsson	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Valtteri Filppula	60	1	2	2	Marc-Edouard Vlasic	Brent Seabrook	60	1	2	2
2	Darren Helm	40	1	2	2	Jack Johnson	Oliver Ekman-Larsson	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Vincent Trocheck	Filip Forsberg	60	1	2	2
2	Bryan Little	Wayne Simmonds	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brent Seabrook	Marc-Edouard Vlasic	60	1	2	2
2	Jack Johnson	Oliver Ekman-Larsson	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Filip Forsberg	Vincent Trocheck	Wayne Simmonds	Brent Seabrook	Marc-Edouard Vlasic

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Darren Helm	Valtteri Filppula	Wayne Simmonds	Brent Seabrook	Marc-Edouard Vlasic

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Michael Grabner, Ryan Callahan, Mikkel Boedker	Michael Grabner, Ryan Callahan	Mikkel Boedker

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jack Johnson, Thomas Hickey, Brent Seabrook	Jack Johnson	Thomas Hickey, Brent Seabrook

Tirs de Pénalité
Michael Grabner, Vincent Trocheck, Filip Forsberg, Wayne Simmonds, Cam Atkinson

Gardien
#1 : Cory Schneider, #2 : Corey Crawford

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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	3	0	0	0	0	0	11	14	-3	1	0	1	0	0	0	0	0	1	3	-2	3	1	2	0	0	0	0	0	10	11	-1	2	0.250	11	18	29	0	0	5	5	1	0	152	52	62	38	0	137	48	28	76	24	6	25.00%	14	5	64.29%	0	420	816	51.47%	372	745	49.93%	254	469	54.16%	88	53	85	34	65	34
2	Blackhawks	4	3	0	0	0	0	1	0	20	11	9	2	1	0	0	0	0	1	0	8	5	3	2	2	0	0	0	0	0	0	12	6	6	8	1.000	20	28	48	0	0	6	6	7	2	132	55	37	40	4	138	48	26	80	27	8	29.63%	13	4	69.23%	0	420	816	51.47%	372	745	49.93%	254	469	54.16%	91	51	85	34	68	35
3	Blues	3	2	1	0	0	0	0	0	9	7	2	2	1	1	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	3	2	1	4	0.667	9	15	24	0	0	1	3	5	0	97	24	39	34	0	96	42	30	68	13	2	15.38%	15	4	73.33%	0	420	816	51.47%	372	745	49.93%	254	469	54.16%	63	36	62	29	54	24
4	Capitals	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	7	11	18	0	0	0	1	6	0	66	23	23	20	0	64	17	18	44	10	2	20.00%	9	4	55.56%	1	420	816	51.47%	372	745	49.93%	254	469	54.16%	44	26	41	19	34	16
5	Ducks	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	0	3	0	0	38	10	13	15	0	26	10	4	14	2	0	0.00%	2	0	100.00%	0	420	816	51.47%	372	745	49.93%	254	469	54.16%	21	13	21	8	17	8
6	Flames	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	3	5	1	0	0	1	1	0	35	9	15	11	0	29	8	6	25	5	0	0.00%	3	1	66.67%	0	420	816	51.47%	372	745	49.93%	254	469	54.16%	21	12	21	9	16	8
7	Golden Knights	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	9	14	0	0	1	2	2	0	35	12	11	12	0	27	5	10	24	5	2	40.00%	5	1	80.00%	0	420	816	51.47%	372	745	49.93%	254	469	54.16%	22	12	19	9	17	8
8	Jets	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	4	6	10	0	0	1	3	0	0	66	22	22	22	0	72	25	26	40	7	1	14.29%	13	3	76.92%	1	420	816	51.47%	372	745	49.93%	254	469	54.16%	42	23	44	18	33	15
9	Lightning	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	1	3	1	0	38	12	17	9	0	31	16	4	21	3	1	33.33%	2	0	100.00%	0	420	816	51.47%	372	745	49.93%	254	469	54.16%	22	13	21	9	16	8
10	Oilers	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	4	6	10	0	0	0	1	3	0	66	14	27	25	0	63	26	14	34	9	2	22.22%	7	1	85.71%	0	420	816	51.47%	372	745	49.93%	254	469	54.16%	43	25	42	18	34	16
11	Panthers	3	1	1	0	0	0	0	1	9	9	0	2	1	0	0	0	0	0	1	8	7	1	1	0	1	0	0	0	0	0	1	2	-1	3	0.500	9	18	27	0	0	4	2	3	0	103	48	19	35	4	79	29	16	60	20	2	10.00%	8	2	75.00%	0	420	816	51.47%	372	745	49.93%	254	469	54.16%	70	39	58	29	55	29
12	Penguins	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	1	0	0	43	8	23	12	0	34	7	8	19	3	0	0.00%	3	0	100.00%	0	420	816	51.47%	372	745	49.93%	254	469	54.16%	21	12	20	9	17	8
13	Senateurs	2	0	1	0	1	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	1	3	-2	1	0	0	0	1	0	0	0	5	4	1	2	0.500	6	10	16	0	0	1	0	4	1	68	19	19	29	1	91	26	18	27	6	2	33.33%	9	2	77.78%	1	420	816	51.47%	372	745	49.93%	254	469	54.16%	41	24	46	17	32	15
14	Sharks	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	4	3	1	2	1.000	4	5	9	0	0	2	1	0	1	35	11	18	6	3	34	23	6	16	5	2	40.00%	3	1	66.67%	0	420	816	51.47%	372	745	49.93%	254	469	54.16%	24	14	21	9	18	9
15	Stars	2	2	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	7	8	15	0	0	1	3	3	0	81	26	27	28	0	81	28	8	38	6	2	33.33%	4	1	75.00%	0	420	816	51.47%	372	745	49.93%	254	469	54.16%	44	27	41	15	33	17
	Total	30	13	13	0	1	0	2	1	97	88	9	14	6	6	0	0	0	1	1	42	40	2	16	7	7	0	1	0	1	0	55	48	7	33	0.550	97	153	250	1	0	23	35	36	4	1055	345	372	336	12	1002	358	222	586	145	32	22.07%	110	29	73.64%	3	420	816	51.47%	372	745	49.93%	254	469	54.16%	665	387	635	274	514	257
	_Since Last GM Reset	30	13	13	0	1	0	2	1	97	88	9	14	6	6	0	0	0	1	1	42	40	2	16	7	7	0	1	0	1	0	55	48	7	33	0.550	97	153	250	1	0	23	35	36	4	1055	345	372	336	12	1002	358	222	586	145	32	22.07%	110	29	73.64%	3	420	816	51.47%	372	745	49.93%	254	469	54.16%	665	387	635	274	514	257
	_Vs Conference	21	10	9	0	0	0	2	0	69	62	7	8	3	4	0	0	0	1	0	24	25	-1	13	7	5	0	0	0	1	0	45	37	8	24	0.571	69	103	172	1	0	17	28	22	3	737	235	271	231	7	703	263	158	415	103	25	24.27%	79	21	73.42%	1	420	816	51.47%	372	745	49.93%	254	469	54.16%	464	271	446	190	359	179
	_Vs Division	15	8	6	0	0	0	1	0	51	45	6	7	3	3	0	0	0	1	0	21	21	0	8	5	3	0	0	0	0	0	30	24	6	18	0.600	51	75	126	0	0	14	20	16	2	528	179	187	162	4	524	191	118	302	77	19	24.68%	59	17	71.19%	1	420	816	51.47%	372	745	49.93%	254	469	54.16%	330	191	319	134	254	128

			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
30	33	W1	97	153	250	1055	1002	358	222	586	1	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	13	13	1	0	2	1	97	88

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	6	6	0	0	1	1	42	40

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	7	7	1	0	1	0	55	48

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

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
145	32	22.07%	110	29	73.64%	3

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
345	372	336	12	23	35	36	4

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
420	816	51.47%	372	745	49.93%	254	469	54.16%

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
665	387	635	274	514	257

Derniers Match Joués

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 - 2018-10-10	6	Blackhawks	3	Predateurs	4	W	X	X	Sommaire du Match
4 - 2018-10-12	16	Predateurs	9	Blackhawks	4	W			Sommaire du Match
7 - 2018-10-15	28	Oilers	4	Predateurs	3	L			Sommaire du Match
10 - 2018-10-18	44	Predateurs	3	Avalanche	4	L			Sommaire du Match
13 - 2018-10-21	56	Jets	4	Predateurs	1	L			Sommaire du Match
15 - 2018-10-23	69	Predateurs	3	Jets	4	L			Sommaire du Match
19 - 2018-10-27	79	Blues	2	Predateurs	4	W			Sommaire du Match
21 - 2018-10-29	90	Predateurs	3	Blackhawks	2	W			Sommaire du Match
23 - 2018-10-31	98	Predateurs	2	Stars	1	W			Sommaire du Match
24 - 2018-11-01	103	Predateurs	3	Blues	2	W			Sommaire du Match
27 - 2018-11-04	116	Stars	4	Predateurs	5	W			Sommaire du Match
31 - 2018-11-08	134	Blackhawks	2	Predateurs	4	W			Sommaire du Match
35 - 2018-11-12	149	Predateurs	5	Avalanche	3	W			Sommaire du Match
37 - 2018-11-14	157	Avalanche	3	Predateurs	1	L			Sommaire du Match
41 - 2018-11-18	170	Predateurs	1	Panthers	2	L			Sommaire du Match
43 - 2018-11-20	181	Panthers	1	Predateurs	3	W			Sommaire du Match
46 - 2018-11-23	197	Predateurs	4	Capitals	5	L			Sommaire du Match
48 - 2018-11-25	204	Capitals	1	Predateurs	3	W			Sommaire du Match
50 - 2018-11-27	210	Predateurs	1	Oilers	3	L			Sommaire du Match
52 - 2018-11-29	220	Predateurs	2	Avalanche	4	L			Sommaire du Match
54 - 2018-12-01	230	Predateurs	5	Golden Knights	3	W			Sommaire du Match
56 - 2018-12-03	237	Blues	3	Predateurs	2	L			Sommaire du Match
62 - 2018-12-09	253	Predateurs	2	Flames	3	L			Sommaire du Match
64 - 2018-12-11	263	Senateurs	3	Predateurs	1	L			Sommaire du Match
69 - 2018-12-16	281	Lightning	1	Predateurs	5	W			Sommaire du Match
72 - 2018-12-19	298	Predateurs	4	Sharks	3	W	X	X	Sommaire du Match
74 - 2018-12-21	304	Panthers	6	Predateurs	5	L	X	X	Sommaire du Match
77 - 2018-12-24	323	Predateurs	5	Senateurs	4	W	X		Sommaire du Match
79 - 2018-12-26	330	Penguins	3	Predateurs	1	L			Sommaire du Match
83 - 2018-12-30	346	Predateurs	3	Ducks	1	W			Sommaire du Match
85 - 2019-01-01	354	Ducks	-	Predateurs	-
87 - 2019-01-03	362	Predateurs	-	Blue Jackets	-
89 - 2019-01-05	370	Predateurs	-	Blackhawks	-
91 - 2019-01-07	380	Blue Jackets	-	Predateurs	-
95 - 2019-01-11	396	Predateurs	-	Flames	-
97 - 2019-01-13	405	Bruins	-	Predateurs	-
99 - 2019-01-15	414	Predateurs	-	Panthers	-
103 - 2019-01-19	427	Blues	-	Predateurs	-
106 - 2019-01-22	443	Predateurs	-	Oilers	-
109 - 2019-01-25	453	Canadiens	-	Predateurs	-
114 - 2019-01-30	474	Flyers	-	Predateurs	-
117 - 2019-02-02	488	Predateurs	-	Golden Knights	-
120 - 2019-02-05	495	Sharks	-	Predateurs	-
122 - 2019-02-07	503	Predateurs	-	Jets	-
125 - 2019-02-10	520	Blackhawks	-	Predateurs	-
127 - 2019-02-12	528	Predateurs	-	Bruins	-
130 - 2019-02-15	543	Predateurs	-	Kings	-
132 - 2019-02-17	547	Stars	-	Predateurs	-
134 - 2019-02-19	560	Predateurs	-	Sharks	-
137 - 2019-02-22	571	Maple Leafs	-	Predateurs	-
140 - 2019-02-25	588	Predateurs	-	Devils	-
143 - 2019-02-28	596	Sharks	-	Predateurs	-
147 - 2019-03-04	618	Predateurs	-	Flyers	-
148 - 2019-03-05	622	Stars	-	Predateurs	-
151 - 2019-03-08	636	Predateurs	-	Kings	-
153 - 2019-03-10	643	Ducks	-	Predateurs	-
155 - 2019-03-12	651	Predateurs	-	Blackhawks	-
158 - 2019-03-15	666	Oilers	-	Predateurs	-
160 - 2019-03-17	676	Predateurs	-	Lightning	-
162 - 2019-03-19	687	Predateurs	-	Blues	-
164 - 2019-03-21	694	Islanders	-	Predateurs	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
167 - 2019-03-24	703	Predateurs	-	Canadiens	-
169 - 2019-03-26	709	Predateurs	-	Maple Leafs	-
170 - 2019-03-27	719	Oilers	-	Predateurs	-
176 - 2019-04-02	742	Avalanche	-	Predateurs	-
180 - 2019-04-06	761	Jets	-	Predateurs	-
183 - 2019-04-09	771	Predateurs	-	Stars	-
186 - 2019-04-12	786	Golden Knights	-	Predateurs	-
189 - 2019-04-15	796	Predateurs	-	Stars	-
191 - 2019-04-17	806	Predateurs	-	Islanders	-
193 - 2019-04-19	814	Golden Knights	-	Predateurs	-
199 - 2019-04-25	837	Kings	-	Predateurs	-
205 - 2019-05-01	856	Avalanche	-	Predateurs	-
207 - 2019-05-03	863	Predateurs	-	Penguins	-
212 - 2019-05-08	880	Kings	-	Predateurs	-
214 - 2019-05-10	893	Predateurs	-	Ducks	-
216 - 2019-05-12	905	Jets	-	Predateurs	-
221 - 2019-05-17	927	Devils	-	Predateurs	-
222 - 2019-05-18	933	Predateurs	-	Jets	-
229 - 2019-05-25	953	Flames	-	Predateurs	-
232 - 2019-05-28	967	Flames	-	Predateurs	-
236 - 2019-06-01	979	Predateurs	-	Blues	-

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	150	100	60	45	200
Assistance	54,477	41,325	18,058	33,513	13,513
Attendance PCT	64.85%	59.04%	64.49%	59.84%	96.52%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
27	11492 - 63.84%	1,508,716$	21,122,026$	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
29,026,452$	81,241,666$	80,532,142$	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
81,241,666$	28,673,568$	0$	20	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
40,735,336$	154	345,553$	53,215,162$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
54,523,618$	81,241,666$	-11,523,446$	-25,311,728$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Filip Forsberg	AGE:23	PO:83	OV:83
Darren Helm	AGE:30	PO:45	OV:74
Mikkel Boedker	AGE:27	PO:70	OV:73
Michael Grabner	AGE:29	PO:65	OV:73
Patrick Eaves	AGE:33	PO:42	OV:72
Curtis Lazar	AGE:22	PO:82	OV:68
Jason Dickinson	AGE:22	PO:79	OV:61
Nick Paul	AGE:22	PO:61	OV:58

Vincent Trocheck	AGE:24	PO:64	OV:86
Bryan Little	AGE:29	PO:66	OV:74
Valtteri Filppula	AGE:33	PO:33	OV:74
Curtis Lazar	AGE:22	PO:82	OV:68
Vladislav Kamenev	AGE:21	PO:74	OV:65
*Aleksi Saarela	AGE:20	PO:44	OV:65
Jason Dickinson	AGE:22	PO:79	OV:61

Wayne Simmonds	AGE:29	PO:54	OV:81
Cam Atkinson	AGE:28	PO:40	OV:80
Bryan Little	AGE:29	PO:66	OV:74
Michael Grabner	AGE:29	PO:65	OV:73
Ryan Callahan	AGE:32	PO:34	OV:73
Patrick Eaves	AGE:33	PO:42	OV:72
Curtis Lazar	AGE:22	PO:82	OV:68
Hudson Fasching	AGE:22	PO:59	OV:61

Défense #1

Défense #2

Gardien

Marc-Edouard Vlasic	AGE:30	PO:59	OV:79
Oliver Ekman-Larsson	AGE:26	PO:75	OV:78
Brent Seabrook	AGE:32	PO:50	OV:78
Jack Johnson	AGE:30	PO:69	OV:76
Jeff Petry	AGE:29	PO:57	OV:76

Thomas Hickey	AGE:28	PO:72	OV:72
Joe Morrow	AGE:24	PO:77	OV:67
Chris Bigras	AGE:22	PO:77	OV:63
Brett Lernout	AGE:22	PO:65	OV:63
Dillon Heatherington	AGE:22	PO:71	OV:61

Corey Crawford	AGE:32	PO:38	OV:85
Cory Schneider	AGE:31	PO:49	OV:81
Al Montoya	AGE:32	PO:52	OV:71
*Mackenzie Blackwood	AGE:20	PO:44	OV:67

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
Alexander Romanov	Predateurs	2018	63
Barret Hayton	Predateurs	2018	8
Jay Obrien	Predateurs	2018	31
Lukas Dostal	Predateurs	2018	103
Martin Fehervary	Predateurs	2018	87
Martin Kaut	Predateurs	2018	13
Mattias Samuelsson	Predateurs	2018	55
Michael McLeod	Predateurs	2016	12
Milos Roman	Predateurs	2018
Riley Tufte	Predateurs	2016	25
Ruslan Iskhakov	Predateurs	2018	79

Choix au Repêchage

Année	R1	R2	R3	R4	R5
3	NHS		NHS		NHS TOR
4	NHS	NHS	NHS	NHS
5	NHS	NHS	NHS		NHS
6	NHS	NHS	NHS	NHS	NHS
7	NHS	NHS	NHS	NHS	NHS

[2018-10-29 21:03:53] - New Record for Team's Most Shots Blocked (23) in 1 Game for Predateurs!
[2018-10-24 23:11:57] - New Record for Team's Most Hits (31) in 1 Game for Predateurs!
[2018-10-15 21:49:24] - New Record for Team's Most Points (23) in 1 Game for Predateurs!
[2018-10-15 21:49:24] - New Record for Team's Most Assists (14) in 1 Game for Predateurs!
[2018-10-15 21:49:24] - New Record for Team's Most Goals (9) in 1 Game for Predateurs!
[2018-10-15 21:49:24] - New Record for Team's Most Goals (9) in 1 Game for Predateurs!
[2018-10-08 20:41:30] - TRADE : From Oilers to Predateurs : Thomas Hickey (72).
[2018-10-08 20:41:30] - TRADE : From Predateurs to Oilers : Y:5-RND:4-NHS.
[2018-10-03 20:44:30] - Ryan Callahan was added to Predateurs.
[2018-10-03 20:44:09] - Valtteri Filppula was added to Predateurs.
[2018-10-02 08:05:53] - TRADE : From Senateurs to Predateurs : Michael Grabner (73).
[2018-10-01 23:39:23] - Darren Helm was added to Predateurs.
[2018-09-25 00:26:09] - Admirals hired Dave Tipett for 1 100 000 $ for 1 year(s).
[2018-09-18 14:23:45] - TRADE : From Predateurs to Golden Knights : Y:4-RND:5-NHS.
[2018-09-18 14:23:45] - TRADE : From Golden Knights to Predateurs : Joe Morrow (68).
[2018-09-13 19:39:35] - Milos Roman has been added to Predateurs.
[2018-09-04 20:52:22] - Lee Stempniak was released.
[2018-09-04 20:52:22] - Predateurs paid 0 $ to release Lee Stempniak.
[2018-09-04 20:52:16] - Kyle Quincey was released.
[2018-09-04 20:52:16] - Predateurs paid 0 $ to release Kyle Quincey.
[2018-09-04 20:52:07] - Kris Versteeg was released.
[2018-09-04 20:52:07] - Predateurs paid 0 $ to release Kris Versteeg.
[2018-09-04 20:51:58] - Daniel Winnik was released.
[2018-09-04 20:51:58] - Predateurs paid 0 $ to release Daniel Winnik.
[2018-08-29 21:48:33] - Mackenzie Blackwood was added to Predateurs.
[2018-08-29 21:48:16] - Aleksi Saarela was added to Predateurs.
[2018-08-29 20:46:30] - Lukas Dostal has been added to Predateurs.
[2018-08-29 20:32:47] - Martin Fehervary has been added to Predateurs.
[2018-08-29 20:32:25] - Ruslan Iskhakov has been added to Predateurs.
[2018-08-29 20:18:03] - Alexander Romanov has been added to Predateurs.
[2018-08-29 20:17:06] - Mattias Samuelsson has been added to Predateurs.
[2018-08-19 21:46:49] - Jay Obrien has been added to Predateurs.
[2018-08-19 21:34:08] - Martin Kaut has been added to Predateurs.
[2018-08-19 21:30:30] - Barret Hayton has been added to Predateurs.
[2018-07-06 22:02:44] - Glen Gulutzan contract with Admirals has ended.
[2018-05-20 12:47:50] - Admirals didn't make playoff for year 1.
[2018-05-20 12:47:50] - Predateurs didn't make playoff for year 1.

[2018-12-10 20:52:52] Current fund for Predateurs is under 0 $.
[2018-12-10 20:51:43] Admirals lines for next game are empty. Current rosters/lines are not erased. But, Predateurs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2018-12-10 12:10:56] Current fund for Predateurs is under 0 $.
[2018-12-10 12:05:49] Current fund for Predateurs is under 0 $.
[2018-12-09 23:09:43] Current fund for Predateurs is under 0 $.
[2018-12-07 22:26:55] Current fund for Predateurs is under 0 $.
[2018-12-06 22:35:03] Current fund for Predateurs is under 0 $.
[2018-12-06 22:34:05] Admirals lines for next game are empty. Current rosters/lines are not erased. But, Predateurs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2018-12-05 21:04:04] Current fund for Predateurs is under 0 $.
[2018-12-05 21:03:25] Admirals lines for next game are empty. Current rosters/lines are not erased. But, Predateurs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2018-12-05 21:03:25] Last 7 Days Farm Star : 1 - Jared McCann of Stars (9-5-14) / 2 - Jason Dickinson of Admirals (8-7-15) / 3 - Patrik Berglund of Stars (3-11-14)
[2018-12-04 23:44:50] Current fund for Predateurs is under 0 $.
[2018-12-04 23:40:41] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2018-12-03 21:39:25] Current fund for Predateurs is under 0 $.
[2018-12-02 22:58:37] Current fund for Predateurs is under 0 $.
[2018-11-30 21:20:08] Current fund for Predateurs is under 0 $.
[2018-11-30 21:19:43] Admirals lines for next game are empty. Current rosters/lines are not erased. But, Predateurs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2018-11-30 21:19:42] Jason Dickinson from Admirals has scored a Hat Trick!
[2018-11-29 22:38:36] Current fund for Predateurs is under 0 $.
[2018-11-29 22:37:33] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2018-11-29 22:37:33] Last 7 Days Farm Star : 1 - Jason Dickinson of Admirals (6-7-13) / 2 - Devante Smith-Pelly of Condors (6-6-12) / 3 - Jussi Jokinen of Rampages (5-6-11)
[2018-11-29 22:37:33] Jason Dickinson from Admirals has scored a Hat Trick!
[2018-11-28 21:17:20] Current fund for Predateurs is under 0 $.
[2018-11-28 21:16:57] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2018-11-27 22:50:17] Current fund for Predateurs is under 0 $.
[2018-11-27 22:49:19] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2018-11-27 22:49:19] Hudson Fasching from Admirals has scored a Hat Trick!
[2018-11-26 20:43:25] Current fund for Predateurs is under 0 $.
[2018-11-25 21:58:51] Current fund for Predateurs is under 0 $.
[2018-11-23 23:36:32] Current fund for Predateurs is under 0 $.
[2018-11-22 22:43:35] Current fund for Predateurs is under 0 $.
[2018-11-22 22:42:50] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2018-11-20 21:26:55] Current fund for Predateurs is under 0 $.
[2018-11-20 21:23:07] Last 7 Days Pro Star : 1 - Filip Forsberg of Predateurs (3-3-6) / 2 - Braden Holtby of Oilers (0,942) / 3 - Vincent Trocheck of Predateurs (3-3-6)
[2018-11-20 21:22:21] Current fund for Predateurs is under 0 $.
[2018-11-20 21:22:20] Successfully loaded Predateurs lines done with STHS Client - 3.1.3.0
[2018-11-20 21:22:13] Current fund for Predateurs is under 0 $.
[2018-11-19 21:57:15] Current fund for Predateurs is under 0 $.
[2018-11-19 21:55:42] Admirals lines for next game are empty. Current rosters/lines are not erased. But, Predateurs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2018-11-16 22:19:48] Current fund for Predateurs is under 0 $.
[2018-11-15 22:24:52] Admirals lines for next game are empty. Current rosters/lines are not erased. But, Predateurs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.

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
2	30	13	13	0	1	0	2	1	97	88	9	14	6	6	0	0	0	1	1	42	40	2	16	7	7	0	1	0	1	0	55	48	7	33	97	153	250	1	0	23	35	36	4	1055	345	372	336	12	1002	358	222	586	145	32	22.07%	110	29	73.64%	3	420	816	51.47%	372	745	49.93%	254	469	54.16%	665	387	635	274	514	257
Total Saison Régulière	30	13	13	0	1	0	2	1	97	88	9	14	6	6	0	0	0	1	1	42	40	2	16	7	7	0	1	0	1	0	55	48	7	33	97	153	250	1	0	23	35	36	4	1055	345	372	336	12	1002	358	222	586	145	32	22.07%	110	29	73.64%	3	420	816	51.47%	372	745	49.93%	254	469	54.16%	665	387	635	274	514	257