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				98.00	76	44	82	95	62	96	95	85	94	81	82	72	76	62	60	64	75	86	0
2	Filip Forsberg		X			98.00	71	43	81	86	75	88	83	82	63	82	80	66	74	63	59	83	78	83	0
3	Wayne Simmonds			X		99.00	75	45	79	86	81	89	91	84	70	61	75	66	75	80	67	54	75	81	0
4	Cam Atkinson			X		100.00	61	41	86	88	57	90	82	76	63	69	80	69	71	67	59	40	75	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	75	75	0
6	Valtteri Filppula	X				100.00	59	42	85	80	70	86	98	72	81	62	61	77	67	85	68	33	75	75	0
7	Darren Helm		X			100.00	80	42	83	78	70	84	90	68	71	59	64	85	68	72	63	45	75	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	75	74	0
9	Mikkel Boedker		X			100.00	61	41	81	79	74	81	89	72	57	65	68	74	71	74	62	70	75	73	0
10	Ryan Callahan			X		100.00	79	42	78	79	63	82	88	71	69	56	57	78	65	78	73	34	75	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	75	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	75	68	0
13	Brent Seabrook				X	98.00	68	43	86	70	84	85	98	81	30	60	57	84	66	90	85	50	75	79	0
14	Marc-Edouard Vlasic				X	98.00	58	41	91	84	75	91	96	77	30	61	61	89	71	85	72	59	75	79	0
15	Oliver Ekman-Larsson				X	100.00	80	43	86	84	75	94	97	80	30	67	65	79	71	72	74	75	75	78	0
16	Jack Johnson				X	100.00	70	42	90	70	81	84	98	75	30	49	53	84	67	81	72	69	75	76	0
17	Jeff Petry				X	100.00	81	42	88	79	80	94	97	71	30	69	63	74	71	71	67	57	71	76	0
18	Thomas Hickey				X	100.00	69	41	86	71	68	81	85	74	30	64	57	78	67	66	60	72	75	72	0
Rayé

	MOYENNE D'ÉQUIPE					99.50	69	42	84	81	72	86	89	75	57	63	67	76	70	74	67	59	75	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	98.00	81	80	91	86	89	92	93	91	95	80	77	81	81	38	75	85	0
2	Cory Schneider	100.00	82	87	95	83	84	85	85	84	84	80	80	78	80	49	74	81	0
Rayé

	MOYENNE D'ÉQUIPE	99.00	82	84	93	85	87	89	89	88	90	80	79	80	81	44	75	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	PIM5	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	EG	HT	P/20	PSG	PSS	FW	S1	S2	S3
1	Vincent Trocheck	Predateurs	C	66	37	47	84	3	64	0	113	109	335	93	196	11.04%	26	1386	21.01	14	22	36	55	246	0	0	0	2	25	6	3	54.82%	2147	82	29	0	1	1.21	1	10	0	2	10	4
2	Filip Forsberg	Predateurs	LW	66	29	47	76	3	75	5	120	63	336	96	191	8.63%	35	1408	21.34	14	23	37	62	244	0	0	0	2	40	3	2	46.49%	114	71	21	0	2	1.08	4	9	1	10	1	6
3	Cam Atkinson	Predateurs	RW	66	18	30	48	12	30	0	77	77	192	64	112	9.38%	25	1140	17.28	6	9	15	27	189	0	0	0	0	8	3	0	47.37%	76	36	20	0	1	0.84	1	1	0	2	4	1
4	Wayne Simmonds	Predateurs	RW	66	23	19	42	6	64	0	116	77	183	60	138	12.57%	32	1253	19.00	7	7	14	31	244	0	0	0	0	6	1	0	45.56%	90	18	17	0	0	0.67	1	2	0	5	1	6
5	Bryan Little	Predateurs	C/RW	66	14	24	38	12	26	0	96	90	169	56	115	8.28%	15	1079	16.36	1	6	7	15	172	0	0	0	0	32	2	3	56.33%	877	37	15	0	0	0.70	0	0	0	1	1	3
6	Brent Seabrook	Predateurs	D	66	3	32	35	5	26	0	78	96	102	50	49	2.94%	124	1670	25.32	2	17	19	16	267	0	1	1	6	235	1	0	0.00%	0	15	65	1	0	0.42	0	1	0	0	1	1
7	Marc-Edouard Vlasic	Predateurs	D	66	11	23	34	7	18	0	51	118	126	46	60	8.73%	109	1804	27.35	6	3	9	12	178	0	2	2	2	235	2	1	0.00%	0	32	77	0	0	0.38	0	0	0	5	0	1
8	Valtteri Filppula	Predateurs	C	66	12	18	30	2	22	0	62	91	135	51	75	8.89%	29	942	14.28	0	3	3	4	17	3	1	4	14	203	0	1	50.69%	797	37	14	0	0	0.64	0	0	0	1	1	2
9	Oliver Ekman-Larsson	Predateurs	D	66	6	20	26	10	42	0	117	88	127	54	49	4.72%	75	1602	24.28	6	4	10	20	259	0	1	1	2	137	2	2	0.00%	0	30	33	0	0	0.32	0	0	0	0	2	0
10	Ryan Callahan	Predateurs	RW	66	10	14	24	-8	34	0	71	45	96	36	59	10.42%	21	769	11.66	0	0	0	0	9	0	0	0	4	73	2	0	40.00%	25	21	19	0	0	0.62	0	0	0	0	4	2
11	Michael Grabner	Predateurs	LW/RW	66	11	10	21	13	18	0	66	54	127	30	55	8.66%	26	1016	15.40	6	2	8	17	189	0	0	0	1	1	1	0	40.00%	60	32	13	0	0	0.41	3	10	0	2	0	2
12	Darren Helm	Predateurs	LW	66	9	9	18	-2	12	0	73	69	116	49	64	7.76%	32	920	13.95	0	0	0	0	1	2	1	3	7	205	1	0	51.28%	39	23	17	0	0	0.39	0	0	0	0	0	1
13	Mikkel Boedker	Predateurs	LW	66	7	5	12	-2	12	0	40	30	107	28	68	6.54%	16	530	8.04	0	0	0	0	0	0	0	0	0	75	1	2	34.15%	41	19	15	0	0	0.45	0	0	0	0	1	2
14	Patrick Eaves	Predateurs	LW/RW	66	4	8	12	2	8	0	13	24	54	18	37	7.41%	20	478	7.26	0	0	0	1	4	0	0	0	0	0	1	1	20.00%	15	17	7	0	0	0.50	0	0	0	0	1	0
15	Jack Johnson	Predateurs	D	66	0	11	11	4	2	0	46	74	57	18	22	0.00%	91	1184	17.94	0	3	3	5	173	0	0	0	0	155	0	0	0.00%	0	4	42	0	0	0.19	0	0	0	0	0	0
16	Curtis Lazar	Predateurs	C/LW/RW	66	5	3	8	0	24	0	69	27	64	10	33	7.81%	17	617	9.35	0	0	0	0	7	0	0	0	5	128	2	1	38.28%	209	4	8	0	0	0.26	0	0	0	1	0	0
17	Jeff Petry	Predateurs	D	66	2	5	7	3	35	5	54	48	55	16	17	3.64%	62	914	13.86	0	0	0	0	3	0	0	0	0	6	1	0	0.00%	0	10	26	0	0	0.15	0	0	0	0	0	2
18	Thomas Hickey	Predateurs	D	66	0	3	3	1	20	0	30	50	36	17	12	0.00%	52	805	12.21	0	0	0	0	1	0	0	0	0	41	0	0	0.00%	0	1	21	0	0	0.07	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1188	201	328	529	71	532	10	1292	1230	2417	792	1352	8.32%	807	19528	16.44	62	99	161	265	2210	5	6	11	45	1612	29	16	52.47%	4490	489	459	1	4	0.54	10	33	1	29	27	33

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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	Cory Schneider	Predateurs	44	24	16	3	0.922	2.61	2574	8	0	112	1431	665	2	1	0.696	23	43	23	3	5	1
2	Corey Crawford	Predateurs	25	11	11	1	0.911	2.85	1430	0	1	68	764	330	3	2	0.714	7	23	43	3	1	0
Stats d'équipe Total ou en Moyenne			69	35	27	4	0.918	2.70	4004	8	1	180	2195	995	5	3	0.700	30	66	66	6	6	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	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	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$	1,675,420$	No	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$	1,289,566$	No	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$	1,401,261$	No	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$	1,462,185$	No	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$	1,462,185$	No	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$	231,513$	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$	365,546$	No	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$	1,462,185$	No	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$	792,017$	No	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$	1,340,336$	No	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$	1,705,882$	No	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$	365,546$	No	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$	974,790$	No	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$	1,340,336$	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$	767,647$	No	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$	182,773$	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$	609,244$	No	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$	243,697$	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$	1,157,563$	No	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$	968,697$	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	Valtteri Filppula	Cam Atkinson	30	1	2	2
3	Darren Helm	Bryan Little	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	Brent Seabrook	40	1	2	2
2	Oliver Ekman-Larsson	Jack Johnson	30	1	2	2
3	Jeff Petry	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	Valtteri Filppula	Cam Atkinson	40	1	2	2

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

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Vincent Trocheck	Filip Forsberg	60	1	2	2
2	Wayne Simmonds	Cam Atkinson	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	Oliver Ekman-Larsson	Jack Johnson	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Vincent Trocheck	60	1	2	2	Marc-Edouard Vlasic	Brent Seabrook	60	1	2	2
2	Filip Forsberg	40	1	2	2	Oliver Ekman-Larsson	Jack Johnson	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	Wayne Simmonds	Cam Atkinson	40	1	2	2

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

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

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

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Bryan Little, Darren Helm, Mikkel Boedker	Bryan Little, Darren Helm	Mikkel Boedker

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jeff Petry, Thomas Hickey, Oliver Ekman-Larsson	Jeff Petry	Thomas Hickey, Oliver Ekman-Larsson

Tirs de Pénalité
Vincent Trocheck, Filip Forsberg, Wayne Simmonds, Cam Atkinson, Valtteri Filppula

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

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	5	2	3	0	0	0	0	0	14	16	-2	2	1	1	0	0	0	0	0	4	5	-1	3	1	2	0	0	0	0	0	10	11	-1	4	0.400	14	23	37	0	0	6	5	3	0	185	63	69	53	0	168	60	40	97	29	6	20.69%	20	6	70.00%	0	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	111	66	106	44	82	42
2	Blackhawks	7	3	1	0	0	0	2	1	28	20	8	3	1	1	0	0	0	1	0	10	8	2	4	2	0	0	0	0	1	1	18	12	6	11	0.786	28	40	68	0	0	7	7	12	4	238	87	60	90	13	251	84	50	139	39	10	25.64%	25	5	80.00%	0	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	158	89	152	63	123	63
3	Blue Jackets	2	1	0	0	0	0	0	1	8	8	0	1	1	0	0	0	0	0	0	5	4	1	1	0	0	0	0	0	0	1	3	4	-1	3	0.750	8	13	21	0	0	1	3	4	0	83	20	30	29	7	53	22	14	30	8	1	12.50%	6	0	100.00%	0	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	42	24	44	20	37	17
4	Blues	5	2	3	0	0	0	0	0	12	14	-2	3	1	2	0	0	0	0	0	8	8	0	2	1	1	0	0	0	0	0	4	6	-2	4	0.400	12	18	30	0	0	4	3	5	0	179	48	67	64	0	163	77	48	109	16	3	18.75%	24	8	66.67%	0	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	104	62	108	47	87	40
5	Bruins	2	1	0	0	0	0	1	0	6	2	4	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	0	0	1	0	2	1	1	4	1.000	6	10	16	0	0	1	2	2	1	90	27	36	27	3	66	21	12	37	8	3	37.50%	6	0	100.00%	0	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	45	27	42	19	37	18
6	Canadiens	2	1	1	0	0	0	0	0	7	7	0	1	0	1	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	6	2	4	2	0.500	7	13	20	0	0	2	4	1	0	77	21	31	25	0	65	27	12	38	6	2	33.33%	6	2	66.67%	0	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	47	30	42	16	30	15
7	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	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	44	26	41	19	34	16
8	Devils	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	5	8	0	0	0	1	1	1	32	15	11	5	1	28	11	8	27	3	0	0.00%	4	2	50.00%	0	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	23	14	22	9	18	9
9	Ducks	3	1	2	0	0	0	0	0	5	6	-1	2	0	2	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	3	1	2	2	0.333	5	9	14	1	0	1	3	1	0	127	44	36	47	0	95	28	20	53	4	0	0.00%	10	1	90.00%	0	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	63	39	66	26	50	23
10	Flames	2	1	1	0	0	0	0	0	8	6	2	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	8	6	2	2	0.500	8	13	21	1	0	1	4	3	0	74	23	31	20	0	62	17	18	42	12	1	8.33%	9	4	55.56%	0	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	43	24	42	19	34	17
11	Flyers	2	2	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	5	7	12	0	0	2	1	2	0	74	33	22	19	0	69	31	12	52	8	1	12.50%	6	0	100.00%	0	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	45	27	41	17	33	16
12	Golden Knights	2	1	1	0	0	0	0	0	7	6	1	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	7	6	1	2	0.500	7	11	18	0	0	2	3	2	0	73	22	26	25	0	65	11	24	41	8	2	25.00%	12	3	75.00%	1	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	43	25	42	18	33	15
13	Islanders	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	0	1	1	0	32	12	14	6	0	32	7	12	19	6	2	33.33%	6	2	66.67%	0	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	20	11	22	9	17	8
14	Jets	4	0	4	0	0	0	0	0	9	19	-10	2	0	2	0	0	0	0	0	4	10	-6	2	0	2	0	0	0	0	0	5	9	-4	0	0.000	9	13	22	1	0	1	7	1	0	140	40	60	40	0	145	51	48	78	13	4	30.77%	24	4	83.33%	1	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	85	47	86	36	67	32
15	Kings	2	0	1	0	0	0	1	0	7	7	0	0	0	0	0	0	0	0	0	0	0	0	2	0	1	0	0	0	1	0	7	7	0	2	0.500	7	10	17	0	0	3	2	1	1	63	29	21	13	3	77	28	24	35	5	1	20.00%	12	3	75.00%	1	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	43	26	49	18	32	15
16	Lightning	2	2	0	0	0	0	0	0	12	6	6	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	7	5	2	4	1.000	12	19	31	0	0	5	6	1	0	77	30	31	16	0	73	31	12	36	9	5	55.56%	6	3	50.00%	0	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	44	27	43	17	32	15
17	Maple Leafs	2	1	1	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	4	2	2	2	0.500	6	11	17	0	0	3	1	2	0	61	22	13	26	0	51	28	27	49	8	2	25.00%	7	1	85.71%	0	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	42	23	41	18	36	17
18	Oilers	5	2	2	0	0	0	1	0	15	10	5	3	2	1	0	0	0	0	0	11	5	6	2	0	1	0	0	0	1	0	4	5	-1	6	0.600	15	25	40	0	1	2	7	5	3	170	55	63	50	5	150	55	33	95	25	6	24.00%	14	1	92.86%	0	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	109	64	106	45	88	43
19	Panthers	4	1	1	0	0	0	0	2	10	11	-1	2	1	0	0	0	0	0	1	8	7	1	2	0	1	0	0	0	0	1	2	4	-2	4	0.500	10	20	30	0	0	5	2	3	0	132	60	29	42	6	117	47	30	81	21	2	9.52%	15	2	86.67%	0	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	90	48	84	39	75	38
20	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	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	21	12	20	9	17	8
21	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	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	41	24	46	17	32	15
22	Sharks	4	2	1	0	0	0	1	0	15	9	6	2	1	1	0	0	0	0	0	6	5	1	2	1	0	0	0	0	1	0	9	4	5	6	0.750	15	23	38	0	0	6	2	6	1	158	55	59	44	3	128	59	30	71	16	4	25.00%	16	3	81.25%	0	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	93	57	82	34	68	35
23	Stars	4	3	1	0	0	0	0	0	14	11	3	3	2	1	0	0	0	0	0	12	10	2	1	1	0	0	0	0	0	0	2	1	1	6	0.750	14	19	33	0	0	4	6	4	0	175	52	61	62	0	151	62	22	73	14	3	21.43%	11	4	63.64%	0	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	93	58	80	31	65	34
	Total	66	27	27	0	2	0	6	4	207	187	20	32	14	16	0	0	0	1	1	92	89	3	34	13	11	0	2	0	5	3	115	98	17	74	0.561	207	328	535	3	1	57	72	70	12	2417	808	835	764	42	2198	807	540	1292	277	62	22.38%	260	60	76.92%	5	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	1460	859	1417	598	1135	563
	_Since Last GM Reset	66	27	27	0	2	0	6	4	207	187	20	32	14	16	0	0	0	1	1	92	89	3	34	13	11	0	2	0	5	3	115	98	17	74	0.561	207	328	535	3	1	57	72	70	12	2417	808	835	764	42	2198	807	540	1292	277	62	22.38%	260	60	76.92%	5	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	1460	859	1417	598	1135	563
	_Vs Conference	43	17	20	0	0	0	5	1	134	124	10	20	8	11	0	0	0	1	0	57	56	1	23	9	9	0	0	0	4	1	77	68	9	45	0.523	134	204	338	3	1	37	49	43	9	1582	518	553	508	24	1455	532	357	833	181	40	22.10%	177	42	76.27%	3	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	950	560	924	386	734	364
	_Vs Division	25	10	12	0	0	0	2	1	77	80	-3	13	5	7	0	0	0	1	0	38	41	-3	12	5	5	0	0	0	1	1	39	39	0	25	0.500	77	113	190	1	0	22	28	25	4	917	290	317	309	13	878	334	208	496	111	26	23.42%	104	27	74.04%	1	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	553	322	534	223	426	213

			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
66	74	L1	207	328	535	2417	2198	807	540	1292	3	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
66	27	27	2	0	6	4	207	187

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	14	16	0	0	1	1	92	89

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
34	13	11	2	0	5	3	115	98

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	3	0	0	0	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
277	62	22.38%	260	60	76.92%	5

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
808	835	764	42	57	72	70	12

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
966	1829	52.82%	867	1664	52.10%	523	967	54.08%

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
1460	859	1417	598	1135	563

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 - 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	3	Predateurs	1	L			Sommaire du Match
87 - 2019-01-03	362	Predateurs	3	Blue Jackets	4	L	X	X	Sommaire du Match
89 - 2019-01-05	370	Predateurs	3	Blackhawks	2	W	X	X	Sommaire du Match
91 - 2019-01-07	380	Blue Jackets	4	Predateurs	5	W			Sommaire du Match
95 - 2019-01-11	396	Predateurs	6	Flames	3	W			Sommaire du Match
97 - 2019-01-13	405	Bruins	1	Predateurs	4	W			Sommaire du Match
99 - 2019-01-15	414	Predateurs	1	Panthers	2	L	X	X	Sommaire du Match
103 - 2019-01-19	427	Blues	3	Predateurs	2	L			Sommaire du Match
106 - 2019-01-22	443	Predateurs	3	Oilers	2	W	X	X	Sommaire du Match
109 - 2019-01-25	453	Canadiens	5	Predateurs	1	L			Sommaire du Match
114 - 2019-01-30	474	Flyers	2	Predateurs	3	W			Sommaire du Match
117 - 2019-02-02	488	Predateurs	2	Golden Knights	3	L			Sommaire du Match
120 - 2019-02-05	495	Sharks	2	Predateurs	4	W			Sommaire du Match
122 - 2019-02-07	503	Predateurs	2	Jets	5	L			Sommaire du Match
125 - 2019-02-10	520	Blackhawks	3	Predateurs	2	L			Sommaire du Match
127 - 2019-02-12	528	Predateurs	2	Bruins	1	W	X	X	Sommaire du Match
130 - 2019-02-15	543	Predateurs	4	Kings	3	W	X	X	Sommaire du Match
132 - 2019-02-17	547	Stars	3	Predateurs	2	L			Sommaire du Match
134 - 2019-02-19	560	Predateurs	5	Sharks	1	W			Sommaire du Match
137 - 2019-02-22	571	Maple Leafs	3	Predateurs	2	L			Sommaire du Match
140 - 2019-02-25	588	Predateurs	3	Devils	2	W	X		Sommaire du Match
143 - 2019-02-28	596	Sharks	3	Predateurs	2	L			Sommaire du Match
147 - 2019-03-04	618	Predateurs	2	Flyers	1	W			Sommaire du Match
148 - 2019-03-05	622	Stars	3	Predateurs	5	W			Sommaire du Match
151 - 2019-03-08	636	Predateurs	3	Kings	4	L			Sommaire du Match
153 - 2019-03-10	643	Ducks	2	Predateurs	1	L			Sommaire du Match
155 - 2019-03-12	651	Predateurs	3	Blackhawks	4	L	X	X	Sommaire du Match
158 - 2019-03-15	666	Oilers	1	Predateurs	7	W			Sommaire du Match
160 - 2019-03-17	676	Predateurs	7	Lightning	5	W			Sommaire du Match
162 - 2019-03-19	687	Predateurs	1	Blues	4	L			Sommaire du Match
164 - 2019-03-21	694	Islanders	3	Predateurs	2	L			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
167 - 2019-03-24	703	Predateurs	6	Canadiens	2	W			Sommaire du Match
169 - 2019-03-26	709	Predateurs	4	Maple Leafs	2	W			Sommaire du Match
170 - 2019-03-27	719	Oilers	0	Predateurs	1	W			Sommaire du Match
176 - 2019-04-02	742	Avalanche	2	Predateurs	3	W			Sommaire du Match
180 - 2019-04-06	761	Jets	6	Predateurs	3	L			Sommaire du Match
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	95	55	35	200
Assistance	115,604	92,345	40,299	81,735	30,850
Attendance PCT	60.21%	57.72%	62.97%	63.86%	96.41%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
9	11276 - 62.64%	1,529,424$	48,941,572$	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
62,174,330$	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$	61,418,149$	0$	20	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
13,764,817$	58	345,553$	20,042,074$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
20,529,538$	81,241,666$	-17,672,454$	-24,437,175$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Filip Forsberg	AGE:23	PO:83	OV:83
Michael Grabner	AGE:29	PO:65	OV:74
Darren Helm	AGE:30	PO:45	OV:74
Mikkel Boedker	AGE:27	PO:70	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:62
Nick Paul	AGE:22	PO:61	OV:58

Vincent Trocheck	AGE:24	PO:64	OV:86
Bryan Little	AGE:29	PO:66	OV:75
Valtteri Filppula	AGE:33	PO:33	OV:75
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:62

Wayne Simmonds	AGE:29	PO:54	OV:81
Cam Atkinson	AGE:28	PO:40	OV:80
Bryan Little	AGE:29	PO:66	OV:75
Michael Grabner	AGE:29	PO:65	OV:74
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
Brent Seabrook	AGE:32	PO:50	OV:79
Oliver Ekman-Larsson	AGE:26	PO:75	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

[2019-01-30 22:25:42] - New Record for Team's Most Shots (50) in 1 Game for Predateurs!
[2018-12-25 23:38:03] - New Record for Team's Most Shots (49) in 1 Game for Predateurs!
[2018-12-19 22:45:15] - New Record for Team's Most Shots (48) in 1 Game for Predateurs!
[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.

[2019-02-21 20:00:32] Current fund for Predateurs is under 0 $.
[2019-02-21 20:00:11] Predateurs lines for next game are empty. Current rosters/lines are not erased.
[2019-02-20 21:03:44] Current fund for Predateurs is under 0 $.
[2019-02-19 21:54:21] Current fund for Predateurs is under 0 $.
[2019-02-19 21:53:45] Both Predateurs and Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-18 23:15:58] Current fund for Predateurs is under 0 $.
[2019-02-15 21:18:41] Current fund for Predateurs is under 0 $.
[2019-02-15 21:08:19] Current fund for Predateurs is under 0 $.
[2019-02-15 21:06:44] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-15 21:06:43] Nick Paul from Admirals has scored a Hat Trick!
[2019-02-14 21:50:05] Predateurs lines for next game are empty. Current rosters/lines are not erased.
[2019-02-14 21:49:38] Both Predateurs and Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-14 00:07:31] Current fund for Predateurs is under 0 $.
[2019-02-14 00:06:47] Predateurs lines for next game are empty. Current rosters/lines are not erased.
[2019-02-12 21:15:10] Current fund for Predateurs is under 0 $.
[2019-02-12 18:28:45] Current fund for Predateurs is under 0 $.
[2019-02-12 17:57:38] Current fund for Predateurs is under 0 $.
[2019-02-12 17:40:06] Current fund for Predateurs is under 0 $.
[2019-02-12 10:45:43] Current fund for Predateurs is under 0 $.
[2019-02-11 22:53:20] Current fund for Predateurs is under 0 $.
[2019-02-11 22:52:43] Both Predateurs and Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-11 22:52:23] Auto Lines Function has been run for Predateurs.
[2019-02-11 22:52:23] Auto Roster Partial Function has been run for Predateurs.
[2019-02-11 22:52:21] Cory Schneider from Predateurs is back from Exhaustion.
[2019-02-11 22:52:21] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-08 21:02:12] Current fund for Predateurs is under 0 $.
[2019-02-08 21:00:29] Predateurs lines for next game are empty. Current rosters/lines are not erased.
[2019-02-08 21:00:29] Cory Schneider from Predateurs injured (Exhaustion)
[2019-02-08 21:00:01] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-08 21:00:01] Last 7 Days Pro Star : 1 - Vincent Trocheck of Predateurs (2-8-10) / 2 - Filip Forsberg of Predateurs (5-5-10) / 3 - Patrik Laine of Lightning (4-5-9)
[2019-02-07 21:45:06] Current fund for Predateurs is under 0 $.
[2019-02-07 21:41:46] Predateurs lines for next game are empty. Current rosters/lines are not erased.
[2019-02-07 21:41:46] Filip Forsberg from Predateurs has scored a Hat Trick!
[2019-02-07 21:41:32] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-06 20:59:19] Current fund for Predateurs is under 0 $.
[2019-02-06 20:58:54] Predateurs lines for next game are empty. Current rosters/lines are not erased.
[2019-02-06 20:58:54] Cam Atkinson from Predateurs has scored a Hat Trick!
[2019-02-06 20:58:31] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-06 13:19:35] Current fund for Predateurs is under 0 $.
[2019-02-05 21:08:06] Current fund for Predateurs is under 0 $.
[2019-02-05 21:05:28] Mackenzie Blackwood from Admirals is back from Exhaustion.
[2019-02-05 21:05:28] Predateurs lines for next game are empty. Current rosters/lines are not erased.
[2019-02-04 21:01:49] Current fund for Predateurs is under 0 $.
[2019-02-04 21:01:27] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-04 21:01:27] Last 7 Days Farm Star : 1 - Mark Borowiecki of Stars (8-3-11) / 2 - Jason Dickinson of Admirals (9-2-11) / 3 - Ben Chiarot of Stars (2-10-12)
[2019-02-04 21:01:27] Mackenzie Blackwood from Admirals injured (Exhaustion)
[2019-02-04 21:01:27] Jason Dickinson from Admirals has scored a Hat Trick!
[2019-02-04 21:01:07] Predateurs lines for next game are empty. Current rosters/lines are not erased.
[2019-02-01 20:08:08] Current fund for Predateurs is under 0 $.

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	66	27	27	0	2	0	6	4	207	187	20	32	14	16	0	0	0	1	1	92	89	3	34	13	11	0	2	0	5	3	115	98	17	74	207	328	535	3	1	57	72	70	12	2417	808	835	764	42	2198	807	540	1292	277	62	22.38%	260	60	76.92%	5	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	1460	859	1417	598	1135	563
Total Saison Régulière	66	27	27	0	2	0	6	4	207	187	20	32	14	16	0	0	0	1	1	92	89	3	34	13	11	0	2	0	5	3	115	98	17	74	207	328	535	3	1	57	72	70	12	2417	808	835	764	42	2198	807	540	1292	277	62	22.38%	260	60	76.92%	5	966	1829	52.82%	867	1664	52.10%	523	967	54.08%	1460	859	1417	598	1135	563