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	Filip Forsberg		X			95.00	78	38	84	82	79	84	77	80	55	74	83	76	82	69	76	82	49	82	0
2	Evgeny Kuznetsov	X				98.00	59	42	74	83	81	86	89	82	78	86	74	56	80	73	70	68	50	81	0
3	Patrick Marleau	X				98.00	69	38	84	78	84	81	95	68	72	70	68	63	68	90	83	32	50	78	0
4	J.T. Miller	X	X	X		99.00	81	39	82	74	81	77	88	73	75	78	67	59	72	71	68	79	50	77	0
5	Ondrej Palat		X			100.00	82	38	85	73	72	77	78	70	52	77	64	62	68	75	69	41	50	76	0
6	Wayne Simmonds			X		100.00	83	61	62	74	78	80	92	73	54	66	71	62	70	79	73	52	50	76	0
7	Colin Wilson	X	X	X		100.00	67	36	91	68	82	74	78	67	70	69	68	59	68	78	72	69	50	74	0
8	Mikkel Boedker		X			100.00	64	35	93	80	76	78	84	68	53	76	61	53	65	78	71	69	50	74	0
9	Bryan Little	X		X		100.00	64	38	85	74	73	81	95	72	80	73	67	71	70	80	77	52	50	73	0
10	Sam Gagner	X	X	X		100.00	61	38	86	69	72	82	65	68	77	70	66	58	69	78	71	68	50	73	0
11	Aleksi Saarela		X			100.00	52	35	93	63	61	93	91	62	63	58	63	55	63	65	62	63	54	67	0
12	Jeff Petry				X	95.00	86	38	84	73	82	89	95	71	30	80	72	74	58	80	73	58	49	77	0
13	Jack Johnson				X	98.00	92	45	79	64	83	85	95	63	30	70	52	83	51	80	72	56	49	76	0
14	Oliver Ekman-Larsson				X	97.00	85	42	74	78	80	90	94	76	30	79	74	68	61	75	85	73	50	76	0
15	Marc-Edouard Vlasic				X	100.00	54	36	91	66	78	87	83	65	30	77	57	80	52	80	72	47	50	73	0
16	Thomas Hickey				X	100.00	64	44	82	67	71	76	63	66	30	72	62	79	51	78	70	71	50	72	0
17	Maxime Lajoie				X	100.00	58	38	84	69	74	85	71	68	30	70	70	69	56	63	62	58	50	68	0
Rayé
1	Cam Atkinson			X		94.00	55	37	87	78	64	85	93	77	56	75	87	74	82	78	80	53	50	83	0

	MOYENNE D'ÉQUIPE					98.56	70	40	83	73	76	83	85	71	54	73	68	67	66	76	73	61	50	75

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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	Semyon Varlamov	96.00	88	93	91	81	87	86	88	87	86	88	87	79	85	63	50	84	0
2	Corey Crawford	99.00	87	83	81	84	86	85	87	86	85	87	86	85	89	37	50	83	0
Rayé

	MOYENNE D'ÉQUIPE	97.50	88	88	86	83	87	86	88	87	86	88	87	82	87	50	50	84

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Claude Julien	88	87	85	83	87	81	59	CAN	58	3	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	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	PSG	PSS	S1	S2	S3
1	Evgeny Kuznetsov	Predateurs	C	8	2	4	6	-5	14	8	17	31	9	17	6.45%	2	162	20.34	0	4	4	4	27	2	15	0	1	53.33%	240	6	2	0.74	0	1	1	0	0
2	Filip Forsberg	Predateurs	LW	8	2	4	6	-5	6	11	12	26	15	27	7.69%	8	183	22.98	2	2	4	4	27	2	33	0	0	34.62%	26	12	5	0.65	0	1	0	0	0
3	Cam Atkinson	Predateurs	RW	7	3	1	4	-1	6	17	13	24	8	11	12.50%	5	182	26.01	0	0	0	1	24	0	29	1	0	37.68%	69	14	4	0.44	1	1	0	1	0
4	Patrick Marleau	Predateurs	C	8	1	3	4	0	0	10	13	16	9	18	6.25%	6	151	18.88	0	1	1	0	20	1	18	0	0	47.54%	122	4	4	0.53	0	1	0	1	0
5	Bryan Little	Predateurs	C/RW	8	2	1	3	1	4	6	7	19	7	12	10.53%	4	96	12.00	0	0	0	0	1	0	5	0	0	50.00%	6	2	3	0.62	0	1	0	0	0
6	J.T. Miller	Predateurs	C/LW/RW	8	1	2	3	-1	2	13	3	19	9	16	5.26%	5	139	17.39	0	1	1	3	21	0	6	0	0	37.50%	8	2	2	0.43	0	1	0	0	1
7	Oliver Ekman-Larsson	Predateurs	D	8	2	1	3	3	6	13	11	12	3	4	16.67%	6	180	22.50	1	1	2	1	22	0	27	0	0	0.00%	0	6	10	0.33	0	0	0	0	0
8	Colin Wilson	Predateurs	C/LW/RW	8	1	1	2	0	2	8	5	10	3	3	10.00%	1	110	13.83	0	0	0	0	0	1	15	0	0	37.70%	61	1	0	0.36	1	1	0	0	0
9	Jack Johnson	Predateurs	D	8	1	1	2	-3	8	17	19	10	2	3	10.00%	13	214	26.87	1	1	2	1	27	0	32	0	0	0.00%	0	0	5	0.19	0	0	0	0	0
10	Jeff Petry	Predateurs	D	8	0	2	2	-1	6	14	12	16	8	9	0.00%	23	231	28.94	0	0	0	3	31	0	33	0	0	0.00%	0	9	6	0.17	0	0	0	0	0
11	Mikkel Boedker	Predateurs	LW	8	0	2	2	3	0	6	0	10	2	7	0.00%	1	53	6.68	0	0	0	0	0	0	1	0	0	0.00%	2	1	1	0.75	0	0	0	0	0
12	Sam Gagner	Predateurs	C/LW/RW	8	0	2	2	3	4	0	3	3	3	6	0.00%	0	50	6.28	0	0	0	0	0	0	0	0	0	50.00%	22	0	1	0.80	0	1	0	0	0
13	Wayne Simmonds	Predateurs	RW	8	2	0	2	0	16	19	6	15	5	4	13.33%	0	129	16.16	1	0	1	1	20	0	0	1	0	0.00%	5	3	2	0.31	0	1	0	0	1
14	Marc-Edouard Vlasic	Predateurs	D	8	0	1	1	1	0	5	13	7	4	1	0.00%	5	164	20.57	0	0	0	0	18	0	27	0	0	0.00%	0	1	6	0.12	0	0	0	0	0
15	Ondrej Palat	Predateurs	LW	8	0	1	1	1	2	11	6	21	4	12	0.00%	5	98	12.26	0	0	0	2	3	0	0	0	0	40.00%	5	3	3	0.20	0	0	0	0	0
16	Thomas Hickey	Predateurs	D	8	0	1	1	-1	0	4	7	5	1	1	0.00%	3	84	10.62	0	0	0	0	0	0	0	0	0	0.00%	0	1	2	0.24	0	0	0	0	0
17	Maxime Lajoie	Predateurs	D	8	0	1	1	-1	2	4	11	10	3	3	0.00%	6	93	11.74	0	0	0	0	0	0	8	0	0	0.00%	0	0	3	0.21	0	0	0	0	0
18	Darren Helm	Admirals (NHS)	LW	2	0	0	0	0	0	0	0	1	0	0	0.00%	0	8	4.23	0	0	0	0	0	0	0	0	0	0.00%	1	0	1	0.00	0	0	0	0	0
19	Aleksi Saarela	Predateurs	LW	7	0	0	0	1	0	0	1	0	0	0	0.00%	0	13	1.96	0	0	0	0	1	0	0	0	0	0.00%	2	0	0	0.00	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				144	17	28	45	-5	78	166	159	255	95	154	6.67%	93	2348	16.31	5	10	15	20	248	6	258	2	1	46.22%	569	65	60	0.38	2	9	1	2	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 Gardien	Nom de l'Équipe	GP	W	L	PCT	GAA	MP	SO	GA	SA	SAR	A	PS %	PSA	ST	BG	S1
1	Semyon Varlamov	Predateurs	7	3	4	0.927	2.55	424	1	18	246	110	1	0.889	9	7	1	2
2	Corey Crawford	Predateurs	1	0	1	0.927	3.05	59	0	3	41	22	1	0.000	0	1	7	0
Stats d'équipe Total ou en Moyenne			8	3	5	0.927	2.61	483	1	21	287	132	2	0.889	9	8	8	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	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Aleksi Saarela	Predateurs	LW	20	1997-01-07	No	198 Lbs	5 ft1	No	No	No	1	Contrat d'Entrée	Pro & Farm	753,333$	753,333$	693,545$	No	Lien
Bryan Little	Predateurs	C/RW	29	1987-11-12	No	191 Lbs	6 ft0	No	No	No	5	Sans Restriction	Pro & Farm	5,291,666$	5,291,666$	4,871,693$	No	Lien
Cam Atkinson (Sur la Masse Salariale)	Predateurs	RW	28	1989-06-05	No	179 Lbs	5 ft8	No	No	No	6	Sans Restriction	Pro & Farm	5,750,000$	5,750,000$	5,293,651$	No	Lien
Colin Wilson	Predateurs	C/LW/RW	27	1989-10-20	No	221 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	800,000$	800,000$	736,508$	No	Lien
Corey Crawford	Predateurs	G	32	1984-12-31	No	216 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$	5,523,810$	No	Lien
Evgeny Kuznetsov	Predateurs	C	25	1992-05-19	No	204 Lbs	6 ft2	No	No	No	6	Contrat d'Entrée	Pro & Farm	7,800,000$	7,800,000$	7,180,952$	No	Lien
Filip Forsberg (Sur la Masse Salariale)	Predateurs	LW	23	1994-08-13	No	205 Lbs	6 ft1	No	No	No	3	Contrat d'Entrée	Pro & Farm	6,000,000$	6,000,000$	5,523,810$	No	Lien
J.T. Miller	Predateurs	C/LW/RW	24	1993-03-14	No	218 Lbs	6 ft1	No	No	No	4	Contrat d'Entrée	Pro & Farm	5,250,000$	5,250,000$	4,833,333$	No	Lien
Jack Johnson	Predateurs	D	30	1987-01-13	No	227 Lbs	6 ft1	No	No	No	4	Sans Restriction	Pro & Farm	3,250,000$	3,250,000$	2,992,063$	No	Lien
Jeff Petry (Sur la Masse Salariale)	Predateurs	D	29	1987-12-09	No	197 Lbs	6 ft3	No	No	No	2	Sans Restriction	Pro & Farm	5,500,000$	5,500,000$	5,063,492$	No	Lien
Marc-Edouard Vlasic	Predateurs	D	30	1987-03-30	No	205 Lbs	6 ft1	No	No	No	6	Sans Restriction	Pro & Farm	7,000,000$	7,000,000$	6,444,444$	No	Lien
Maxime Lajoie	Predateurs	D	19	1997-11-05	No	183 Lbs	6 ft1	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	750,000$	690,476$	No	Lien
Mikkel Boedker	Predateurs	LW	27	1989-12-16	No	210 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	4,000,000$	4,000,000$	3,682,540$	No	Lien
Oliver Ekman-Larsson	Predateurs	D	26	1991-07-17	No	200 Lbs	6 ft2	No	No	No	8	Contrat d'Entrée	Pro & Farm	8,250,000$	8,250,000$	7,595,238$	No	Lien
Ondrej Palat	Predateurs	LW	26	1991-03-28	No	188 Lbs	6 ft0	No	No	No	3	Contrat d'Entrée	Pro & Farm	5,300,000$	5,300,000$	4,879,365$	No	Lien
Patrick Marleau	Predateurs	C	38	1979-09-15	No	218 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	6,250,000$	6,250,000$	5,753,968$	No	Lien
Sam Gagner	Predateurs	C/LW/RW	28	1989-08-10	No	200 Lbs	5 ft11	No	No	No	2	Sans Restriction	Pro & Farm	1,125,000$	1,125,000$	1,035,714$	No	Lien
Semyon Varlamov	Predateurs	G	29	1988-04-27	No	205 Lbs	6 ft2	No	No	No	4	Sans Restriction	Pro & Farm	800,000$	800,000$	736,508$	No	Lien
Thomas Hickey	Predateurs	D	28	1989-02-08	No	183 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro & Farm	2,500,000$	2,500,000$	2,301,587$	No	Lien
Wayne Simmonds	Predateurs	RW	29	1988-08-26	No	185 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	4,603,175$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	27.35	202 Lbs	6 ft0	3.20	4,368,500$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
87,369,999$	64,616,666$	57,191,666$	43,391,666$	34,091,666$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Filip Forsberg	Evgeny Kuznetsov		40	1	2	2
2	J.T. Miller	Patrick Marleau	Wayne Simmonds	30	1	2	2
3	Ondrej Palat	Colin Wilson	Bryan Little	20	1	2	2
4	Mikkel Boedker	Sam Gagner		10	1	2	2

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

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Filip Forsberg	Evgeny Kuznetsov		60	1	2	2
2	J.T. Miller	Patrick Marleau	Wayne Simmonds	40	1	2	2

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

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Filip Forsberg	60	1	2	2
2	Evgeny Kuznetsov	Patrick Marleau	40	1	2	2

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

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2	Oliver Ekman-Larsson	Jeff Petry	60	1	2	2
2	Filip Forsberg	40	1	2	2	Jack Johnson	Marc-Edouard Vlasic	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Filip Forsberg	60	1	2	2
2	Evgeny Kuznetsov	Patrick Marleau	40	1	2	2

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

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Filip Forsberg	Evgeny Kuznetsov		Oliver Ekman-Larsson	Jeff Petry

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Filip Forsberg	Evgeny Kuznetsov		Oliver Ekman-Larsson	Jeff Petry

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Aleksi Saarela, Ondrej Palat, Colin Wilson	Aleksi Saarela, Ondrej Palat	Colin Wilson

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Thomas Hickey, Maxime Lajoie, Jack Johnson	Thomas Hickey	Maxime Lajoie, Jack Johnson

Tirs de Pénalité
, Filip Forsberg, Evgeny Kuznetsov, Patrick Marleau, J.T. Miller

Gardien
#1 : Corey Crawford, #2 : Semyon Varlamov

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	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	1	2	0	0	0	1	0	0	36	4	19	13	0	36	20	8	19	1	0	0.00%	4	1	75.00%	0	104	224	46.43%	103	242	42.56%	56	101	55.45%	19	10	23	9	16	8
2	Blackhawks	2	2	0	0	0	0	0	0	8	2	6	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	3	0	3	4	1.000	8	12	20	0	1	3	3	2	0	65	26	17	22	0	52	13	10	47	12	1	8.33%	5	1	80.00%	0	104	224	46.43%	103	242	42.56%	56	101	55.45%	42	23	41	20	35	18
3	Blues	2	0	2	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	5	9	14	0	0	0	2	3	0	69	19	16	34	0	83	27	24	35	9	3	33.33%	12	3	75.00%	0	104	224	46.43%	103	242	42.56%	56	101	55.45%	40	22	47	18	32	16
4	Flames	1	0	1	0	0	0	0	0	0	3	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	3	-3	0	0.000	0	0	0	0	0	0	0	0	0	21	8	6	7	0	44	11	12	17	4	0	0.00%	6	2	66.67%	0	104	224	46.43%	103	242	42.56%	56	101	55.45%	16	8	26	8	16	8
5	Stars	2	0	1	0	0	0	1	0	4	4	0	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	0	0	1	0	2	1	1	2	0.500	4	6	10	0	0	1	0	2	2	64	13	26	22	12	72	22	24	48	5	1	20.00%	12	1	91.67%	0	104	224	46.43%	103	242	42.56%	56	101	55.45%	41	21	47	19	36	17
	Total	8	2	5	0	0	0	1	0	18	21	-3	3	1	2	0	0	0	0	0	10	11	-1	5	1	3	0	0	0	1	0	8	10	-2	6	0.375	18	28	46	0	1	4	6	7	2	255	70	84	98	12	287	93	78	166	31	5	16.13%	39	8	79.49%	0	104	224	46.43%	103	242	42.56%	56	101	55.45%	160	86	186	75	138	68
	_Since Last GM Reset	8	2	5	0	0	0	1	0	18	21	-3	3	1	2	0	0	0	0	0	10	11	-1	5	1	3	0	0	0	1	0	8	10	-2	6	0.375	18	28	46	0	1	4	6	7	2	255	70	84	98	12	287	93	78	166	31	5	16.13%	39	8	79.49%	0	104	224	46.43%	103	242	42.56%	56	101	55.45%	160	86	186	75	138	68
	_Vs Conference	8	2	5	0	0	0	1	0	18	21	-3	3	1	2	0	0	0	0	0	10	11	-1	5	1	3	0	0	0	1	0	8	10	-2	6	0.375	18	28	46	0	1	4	6	7	2	255	70	84	98	12	287	93	78	166	31	5	16.13%	39	8	79.49%	0	104	224	46.43%	103	242	42.56%	56	101	55.45%	160	86	186	75	138	68
	_Vs Division	7	2	4	0	0	0	1	0	18	18	0	3	1	2	0	0	0	0	0	10	11	-1	4	1	2	0	0	0	1	0	8	7	1	6	0.429	18	28	46	0	1	4	6	7	2	234	62	78	91	12	243	82	66	149	27	5	18.52%	33	6	81.82%	0	104	224	46.43%	103	242	42.56%	56	101	55.45%	143	78	159	67	121	60

			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
8	6	L2	18	28	46	255	287	93	78	166	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	2	5	0	0	1	0	18	21

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	10	11

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	3	0	0	1	0	8	10

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	5	0	0	1	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
31	5	16.13%	39	8	79.49%	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
70	84	98	12	4	6	7	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
104	224	46.43%	103	242	42.56%	56	101	55.45%

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
160	86	186	75	138	68

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
1 - 2019-10-04	6	Predateurs	0	Flames	3	L			Sommaire du Match
3 - 2019-10-06	16	Blues	6	Predateurs	3	L			Sommaire du Match
6 - 2019-10-09	27	Predateurs	3	Blackhawks	0	W			Sommaire du Match
8 - 2019-10-11	39	Blackhawks	2	Predateurs	5	W			Sommaire du Match
10 - 2019-10-13	47	Predateurs	1	Avalanche	3	L			Sommaire du Match
12 - 2019-10-15	59	Predateurs	2	Stars	1	W	X	X	Sommaire du Match
14 - 2019-10-17	68	Predateurs	2	Blues	3	L			Sommaire du Match
15 - 2019-10-18	71	Stars	3	Predateurs	2	L			Sommaire du Match
19 - 2019-10-22	96	Jets	-	Predateurs	-
21 - 2019-10-24	105	Predateurs	-	Jets	-
24 - 2019-10-27	119	Avalanche	-	Predateurs	-
26 - 2019-10-29	131	Predateurs	-	Stars	-
27 - 2019-10-30	140	Oilers	-	Predateurs	-
30 - 2019-11-02	156	Predateurs	-	Jets	-
31 - 2019-11-03	165	Ducks	-	Predateurs	-
34 - 2019-11-06	180	Flames	-	Predateurs	-
37 - 2019-11-09	196	Sharks	-	Predateurs	-
39 - 2019-11-11	202	Predateurs	-	Oilers	-
44 - 2019-11-16	222	Lightning	-	Predateurs	-
47 - 2019-11-19	237	Predateurs	-	Panthers	-
49 - 2019-11-21	250	Oilers	-	Predateurs	-
52 - 2019-11-24	266	Predateurs	-	Golden Knights	-
54 - 2019-11-26	272	Jets	-	Predateurs	-
56 - 2019-11-28	287	Predateurs	-	Devils	-
57 - 2019-11-29	295	Flames	-	Predateurs	-
60 - 2019-12-02	308	Predateurs	-	Flyers	-
63 - 2019-12-05	322	Devils	-	Predateurs	-
65 - 2019-12-07	330	Predateurs	-	Jets	-
67 - 2019-12-09	344	Jets	-	Predateurs	-
70 - 2019-12-12	356	Predateurs	-	Sharks	-
72 - 2019-12-14	370	Capitals	-	Predateurs	-
75 - 2019-12-17	386	Predateurs	-	Golden Knights	-
77 - 2019-12-19	392	Predateurs	-	Avalanche	-
78 - 2019-12-20	399	Blues	-	Predateurs	-
80 - 2019-12-22	416	Predateurs	-	Flames	-
82 - 2019-12-24	422	Canadiens	-	Predateurs	-
85 - 2019-12-27	439	Predateurs	-	Oilers	-
87 - 2019-12-29	448	Penguins	-	Predateurs	-
89 - 2019-12-31	462	Predateurs	-	Panthers	-
90 - 2020-01-01	471	Blues	-	Predateurs	-
93 - 2020-01-04	486	Predateurs	-	Penguins	-
94 - 2020-01-05	495	Flyers	-	Predateurs	-
97 - 2020-01-08	511	Sharks	-	Predateurs	-
99 - 2020-01-10	521	Predateurs	-	Maple Leafs	-
101 - 2020-01-12	529	Predateurs	-	Canadiens	-
102 - 2020-01-13	540	Ducks	-	Predateurs	-
105 - 2020-01-16	557	Predateurs	-	Blackhawks	-
106 - 2020-01-17	563	Panthers	-	Predateurs	-
110 - 2020-01-21	577	Predateurs	-	Blue Jackets	-
112 - 2020-01-23	587	Blackhawks	-	Predateurs	-
115 - 2020-01-26	607	Predateurs	-	Kings	-
117 - 2020-01-28	613	Avalanche	-	Predateurs	-
120 - 2020-01-31	631	Islanders	-	Predateurs	-
122 - 2020-02-02	646	Predateurs	-	Ducks	-
124 - 2020-02-04	654	Stars	-	Predateurs	-
126 - 2020-02-06	667	Predateurs	-	Blues	-
128 - 2020-02-08	676	Predateurs	-	Avalanche	-
130 - 2020-02-10	685	Avalanche	-	Predateurs	-
132 - 2020-02-12	698	Predateurs	-	Kings	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
135 - 2020-02-15	709	Predateurs	-	Senateurs	-
136 - 2020-02-16	716	Oilers	-	Predateurs	-
139 - 2020-02-19	731	Kings	-	Predateurs	-
141 - 2020-02-21	740	Predateurs	-	Blackhawks	-
143 - 2020-02-23	754	Predateurs	-	Flames	-
144 - 2020-02-24	763	Senateurs	-	Predateurs	-
147 - 2020-02-27	772	Predateurs	-	Lightning	-
149 - 2020-02-29	786	Kings	-	Predateurs	-
151 - 2020-03-02	798	Predateurs	-	Sharks	-
153 - 2020-03-04	806	Predateurs	-	Bruins	-
154 - 2020-03-05	815	Blue Jackets	-	Predateurs	-
158 - 2020-03-09	829	Predateurs	-	Blues	-
159 - 2020-03-10	838	Senateurs	-	Predateurs	-
163 - 2020-03-14	859	Stars	-	Predateurs	-
166 - 2020-03-17	875	Maple Leafs	-	Predateurs	-
168 - 2020-03-19	885	Predateurs	-	Ducks	-
170 - 2020-03-21	899	Blackhawks	-	Predateurs	-
174 - 2020-03-25	918	Bruins	-	Predateurs	-
176 - 2020-03-27	928	Predateurs	-	Capitals	-
180 - 2020-03-31	945	Golden Knights	-	Predateurs	-
183 - 2020-04-03	957	Predateurs	-	Stars	-
185 - 2020-04-05	968	Golden Knights	-	Predateurs	-
186 - 2020-04-06	976	Predateurs	-	Islanders	-

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	10,504	8,525	3,897	8,410	2,808
Attendance PCT	58.36%	56.83%	64.95%	70.08%	93.60%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
38	11381 - 63.23%	1,566,611$	4,699,834$	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
6,953,933$	81,619,999$	81,191,725$	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
81,619,999$	6,874,568$	0$	19	1

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
59,531,231$	174	437,143$	76,062,882$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
77,352,962$	81,619,999$	-14,560,993$	-32,382,724$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Filip Forsberg	AGE:23	PO:82	OV:82
J.T. Miller	AGE:24	PO:79	OV:77
Ondrej Palat	AGE:26	PO:41	OV:76
Colin Wilson	AGE:27	PO:69	OV:74
Mikkel Boedker	AGE:27	PO:69	OV:74
Sam Gagner	AGE:28	PO:68	OV:73
Darren Helm	AGE:30	PO:35	OV:71
Aleksi Saarela	AGE:20	PO:63	OV:67
Nick Paul	AGE:22	PO:66	OV:64

Evgeny Kuznetsov	AGE:25	PO:68	OV:81
Patrick Marleau	AGE:38	PO:32	OV:78
J.T. Miller	AGE:24	PO:79	OV:77
Colin Wilson	AGE:27	PO:69	OV:74
Sam Gagner	AGE:28	PO:68	OV:73
Bryan Little	AGE:29	PO:52	OV:73
Jason Dickinson	AGE:22	PO:77	OV:70
Curtis Lazar	AGE:22	PO:81	OV:65

Cam Atkinson	AGE:28	PO:53	OV:83
J.T. Miller	AGE:24	PO:79	OV:77
Wayne Simmonds	AGE:29	PO:52	OV:76
Colin Wilson	AGE:27	PO:69	OV:74
Sam Gagner	AGE:28	PO:68	OV:73
Bryan Little	AGE:29	PO:52	OV:73
Hudson Fasching	AGE:22	PO:56	OV:63

Défense #1

Défense #2

Gardien

Jeff Petry	AGE:29	PO:58	OV:77
Oliver Ekman-Larsson	AGE:26	PO:73	OV:76
Jack Johnson	AGE:30	PO:56	OV:76
Marc-Edouard Vlasic	AGE:30	PO:47	OV:73
Thomas Hickey	AGE:28	PO:71	OV:72

Maxime Lajoie	AGE:19	PO:58	OV:68
Brett Lernout	AGE:22	PO:59	OV:65
Dillon Heatherington	AGE:22	PO:69	OV:64
Joe Morrow	AGE:24	PO:69	OV:64
Chris Bigras	AGE:22	PO:76	OV:63

Semyon Varlamov	AGE:29	PO:63	OV:84
Corey Crawford	AGE:32	PO:37	OV:83
Mackenzie Blackwood	AGE:20	PO:76	OV:78

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
Anttoni Honka	Predateurs	3	112
Barret Hayton	Predateurs	2018	8
Jakob Pelletier	Predateurs	3	20
Jay Obrien	Predateurs	2018	31
Lukas Dostal	Predateurs	2018	103
Martin Fehervary	Predateurs	2018	87
Mattias Samuelsson	Predateurs	2018	55
Michael McLeod	Predateurs	2016	12
Milos Roman	Predateurs	2018
Riley Tufte	Predateurs	2016	25
Ruslan Iskhakov	Predateurs	2018	79
Viktor Lodin	Predateurs	3	114

Choix au Repêchage

Année	R1	R2	R3	R4	R5
4				NHS
5	NHS	NHS	NHS
6	NHS	NHS	NHS	NHS	NHS
7	NHS	NHS	NHS	NHS	NHS
8	NHS	NHS	NHS	NHS	NHS

[2019-10-01 23:08:02] - Patrick Eaves was released.
[2019-10-01 23:08:02] - Predateurs paid 0 $ to release Patrick Eaves.
[2019-09-30 22:25:47] - Admirals hired Lindy Ruff for 500 000 $ for 2 year(s).
[2019-09-30 22:25:13] - General Manager Change : Predateurs hired general manager Rock Toussaint
[2019-09-30 22:25:13] - General Manager Change : Predateurs fired general manager Martin Renaud
[2019-09-30 21:41:50] - TRADE : From Predateurs to Bruins : Vladislav Kamenev (61), Martin Kaut (P), Y:4-RND:2-NHS.
[2019-09-30 21:41:50] - TRADE : From Bruins to Predateurs : Ondrej Palat (76).
[2019-09-25 21:41:53] - TRADE : From Predateurs to Maple Leafs : Y:5-RND:5-NHS.
[2019-09-25 21:41:53] - TRADE : From Maple Leafs to Predateurs : Colin Wilson (74).
[2019-09-24 20:17:11] - TRADE : From Maple Leafs to Predateurs : Sam Gagner (73), J.T. Miller (77).
[2019-09-24 20:17:11] - TRADE : From Predateurs to Maple Leafs : Jeff Skinner (82), Michael Grabner (73).
[2019-09-20 21:39:10] - Semyon Varlamov was added to Predateurs.
[2019-09-18 07:19:14] - TRADE : From Maple Leafs to Predateurs : Evgeny Kuznetsov (81), Patrick Marleau (78).
[2019-09-18 07:19:14] - TRADE : From Predateurs to Maple Leafs : Vincent Trocheck (74), Y:4-RND:3-NHS.
[2019-09-18 07:17:53] - Cory Schneider was released.
[2019-09-18 07:17:53] - Predateurs paid 0 $ to release Cory Schneider.
[2019-09-16 19:41:01] - Ryan Callahan was released.
[2019-09-16 19:41:01] - Predateurs paid 0 $ to release Ryan Callahan.
[2019-09-16 19:40:55] - Valtteri Filppula was released.
[2019-09-16 19:40:55] - Predateurs paid 0 $ to release Valtteri Filppula.
[2019-09-16 19:40:25] - Al Montoya was released.
[2019-09-16 19:40:25] - Predateurs paid 0 $ to release Al Montoya.
[2019-08-26 22:52:51] - Predateurs drafts Viktor Lodin as the #114 overall pick in the Entry Draft of year 3.
[2019-08-26 22:52:16] - Predateurs drafts Anttoni Honka as the #112 overall pick in the Entry Draft of year 3.
[2019-07-12 23:16:48] - Maxime Lajoie was added to Predateurs.
[2019-07-12 23:16:00] - Maxime Lajoie has been deleted from Predateurs.
[2019-07-12 23:06:19] - Predateurs drafts Maxime Lajoie as the #64 overall pick in the Entry Draft of year 3.
[2019-07-01 16:31:00] - TRADE : From Senateurs to Predateurs : Jeff Skinner (82).
[2019-07-01 16:31:00] - TRADE : From Predateurs to Senateurs : Brent Seabrook (77), Y:4-RND:1-NHS.
[2019-07-01 16:04:32] - Predateurs drafts Jakob Pelletier as the #20 overall pick in the Entry Draft of year 3.
[2019-05-26 21:53:43] - Dave Tipett contract with Admirals has ended.
[2019-05-08 20:58:35] - Predateurs was eliminated at round 2 of year 2.
[2019-05-02 21:03:43] - Admirals was eliminated at round 2 of year 2.
[2019-01-30 22:25:42] - New Record for Team's Most Shots (50) in 1 Game for Predateurs!

[2019-10-16 23:49:06] Current fund for Predateurs is under 0 $.
[2019-10-16 22:04:50] Darren Helm of Predateurs was sent to farm.
[2019-10-16 21:57:30] Current fund for Predateurs is under 0 $.
[2019-10-16 21:57:13] Auto Lines Function has been run for Predateurs.
[2019-10-16 21:57:13] Auto Roster Partial Function has been run for Predateurs.
[2019-10-16 21:57:13] Darren Helm of Predateurs was sent to pro.
[2019-10-16 21:32:30] Current fund for Predateurs is under 0 $.
[2019-10-16 21:32:08] 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.
[2019-10-16 21:32:07] Cam Atkinson from Predateurs is injured from Exhaustion.
[2019-10-16 21:31:54] Auto Lines Function has been run for Predateurs.
[2019-10-16 21:31:46] Auto Roster Function has been run for Predateurs.
[2019-10-16 21:31:41] Current fund for Predateurs is under 0 $.
[2019-10-16 21:31:27] Auto Lines Function has been run for Predateurs.
[2019-10-16 21:31:27] Auto Roster Partial Function has been run for Predateurs.
[2019-10-15 21:28:17] Current fund for Predateurs is under 0 $.
[2019-10-15 21:27:52] Cam Atkinson from Predateurs is back from Exhaustion.
[2019-10-15 21:27:52] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-10-14 21:50:05] Current fund for Predateurs is under 0 $.
[2019-10-14 21:49:20] Cam Atkinson from Predateurs is injured from Exhaustion.
[2019-10-13 21:27:55] Current fund for Predateurs is under 0 $.
[2019-10-13 20:52:12] Current fund for Predateurs is under 0 $.
[2019-10-13 20:51:48] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-10-11 20:37:49] Current fund for Predateurs is under 0 $.
[2019-10-10 20:42:35] Current fund for Predateurs is under 0 $.
[2019-10-09 21:18:36] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-10-08 20:55:56] Current fund for Predateurs is under 0 $.
[2019-10-08 12:35:39] Current fund for Predateurs is under 0 $.
[2019-10-07 21:49:03] Current fund for Predateurs is under 0 $.
[2019-10-07 21:48:40] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-10-07 16:35:00] Current fund for Predateurs is under 0 $.
[2019-10-06 20:44:18] Current fund for Predateurs is under 0 $.
[2019-10-06 11:06:06] Current fund for Predateurs is under 0 $.
[2019-10-06 11:05:39] 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.
[2019-10-04 21:28:51] Current fund for Predateurs is under 0 $.
[2019-10-04 21:28:31] Auto Lines Function has been run for Predateurs.
[2019-10-04 21:28:22] Aleksi Saarela of Predateurs was sent to pro.
[2019-10-04 21:28:05] Darren Helm of Predateurs was sent down to farm.
[2019-10-04 21:27:39] Predateurs are expected to be over the salary cap by 116 666 $!
[2019-10-04 21:27:39] Current fund for Predateurs is under 0 $.
[2019-10-04 21:27:25] Predateurs are expected to be over the salary cap by 116 666 $!
[2019-10-04 21:27:22] Current fund for Predateurs is under 0 $.
[2019-10-04 21:26:06] Auto Lines Function has been run for Predateurs.
[2019-10-04 21:25:56] Auto Roster Function has been run for Predateurs.
[2019-10-04 21:25:56] Jason Dickinson of Predateurs was sent to farm.
[2019-10-04 21:25:56] Brett Lernout of Predateurs was sent to farm.
[2019-10-04 21:25:54] Predateurs are expected to be over the salary cap by 2 366 666 $!
[2019-10-04 21:25:52] Current fund for Predateurs is under 0 $.
[2019-10-04 21:25:02] Predateurs are expected to be over the salary cap by 2 366 666 $!
[2019-10-04 21:25:01] Current fund for Predateurs is under 0 $.
[2019-10-04 21:23:17] Predateurs are expected to be over the salary cap by 2 366 666 $!

Cam Atkinson est dehors pour 1 jours à cause de Exhaustion.

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
3	8	2	5	0	0	0	1	0	18	21	-3	3	1	2	0	0	0	0	0	10	11	-1	5	1	3	0	0	0	1	0	8	10	-2	6	18	28	46	0	1	4	6	7	2	255	70	84	98	12	287	93	78	166	31	5	16.13%	39	8	79.49%	0	104	224	46.43%	103	242	42.56%	56	101	55.45%	160	86	186	75	138	68
Total Saison Régulière	8	2	5	0	0	0	1	0	18	21	-3	3	1	2	0	0	0	0	0	10	11	-1	5	1	3	0	0	0	1	0	8	10	-2	6	18	28	46	0	1	4	6	7	2	255	70	84	98	12	287	93	78	166	31	5	16.13%	39	8	79.49%	0	104	224	46.43%	103	242	42.56%	56	101	55.45%	160	86	186	75	138	68
Séries
2	11	6	5	0	0	0	0	0	30	27	3	6	3	3	0	0	0	0	0	15	12	3	5	3	2	0	0	0	0	0	15	15	0	12	30	47	77	0	0	5	13	11	1	423	132	147	131	13	350	104	91	228	56	12	21.43%	39	4	89.74%	1	178	345	51.59%	158	281	56.23%	70	142	49.30%	258	155	230	99	188	94
Total Séries	11	6	5	0	0	0	0	0	30	27	3	6	3	3	0	0	0	0	0	15	12	3	5	3	2	0	0	0	0	0	15	15	0	12	30	47	77	0	0	5	13	11	1	423	132	147	131	13	350	104	91	228	56	12	21.43%	39	4	89.74%	1	178	345	51.59%	158	281	56.23%	70	142	49.30%	258	155	230	99	188	94

Année	R1	R2	R3	R4	R5
4				NHS
5	NHS	NHS	NHS
6	NHS	NHS	NHS	NHS	NHS
7	NHS	NHS	NHS	NHS	NHS
8	NHS	NHS	NHS	NHS	NHS

Année	R1	R2	R3	R4	R5
4				NHS
5	NHS	NHS	NHS
6	NHS	NHS	NHS	NHS	NHS
7	NHS	NHS	NHS	NHS	NHS
8	NHS	NHS	NHS	NHS	NHS

Année	R1	R2	R3	R4	R5
4				NHS
5	NHS	NHS	NHS
6	NHS	NHS	NHS	NHS	NHS
7	NHS	NHS	NHS	NHS	NHS
8	NHS	NHS	NHS	NHS	NHS