LHSDB - Los Angeles Kings

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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	Anze Kopitar	X				100.00	61	39	85	77	88	89	94	82	89	83	78	84	80	80	90	52	50	78	0
2	Elias Pettersson (R)	X	X			100.00	59	36	90	82	76	84	83	80	75	81	82	63	84	61	66	88	50	73	0
3	Max Pacioretty (C)		X			100.00	83	40	80	78	82	84	79	74	55	72	76	67	73	79	82	64	50	72	0
4	Carl Hagelin		X			100.00	79	41	82	80	69	77	72	74	55	70	63	81	69	79	73	38	50	70	0
5	Mats Zuccarello	X		X		100.00	69	40	80	74	65	85	61	73	56	80	71	74	72	80	73	27	50	70	0
6	Brandon Tanev		X			100.00	96	50	82	65	70	77	93	63	52	65	64	88	62	75	68	36	50	69	0
7	Darren Helm		X			100.00	77	38	81	73	74	77	72	69	58	67	66	80	65	80	72	35	50	69	0
8	Leo Komarov			X		100.00	92	40	80	65	74	76	95	63	71	66	64	82	63	80	73	30	50	69	0
9	Brandon Dubinsky	X				100.00	88	51	77	65	81	72	74	64	80	63	62	76	61	82	74	40	50	67	0
10	Mathieu Joseph			X		100.00	84	39	83	68	75	69	83	67	54	66	68	69	65	63	65	59	50	66	0
11	Ryan Reaves			X		100.00	96	59	65	59	82	69	93	58	54	61	59	63	58	80	74	30	50	64	0
12	Dillon Dube (R)	X				100.00	56	37	89	65	72	75	71	64	68	66	61	63	62	61	63	71	50	63	0
13	Ryan Pulock (A)				X	100.00	82	37	88	73	84	89	95	72	30	76	69	71	56	69	68	81	50	73	0
14	Adam Pelech				X	100.00	82	38	85	64	87	84	91	63	30	73	59	84	52	69	65	64	50	72	0
15	Thomas Hickey				X	100.00	73	44	78	64	71	76	63	63	30	74	58	81	53	78	70	71	50	68	0
16	Jakob Chychrun (A)				X	100.00	80	40	81	68	82	86	66	67	30	74	65	62	56	61	63	84	50	67	0
17	Logan Stanley (R)				X	100.00	84	39	81	55	99	94	93	54	30	55	51	62	45	61	63	64	50	66	0
18	Lawrence Pilut				X	100.00	56	39	83	66	68	82	62	64	30	73	57	61	48	67	64	52	50	63	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	78	42	82	69	78	80	80	67	53	70	65	73	62	73	70	55	50	69

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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	James Reimer	97.00	90	85	83	84	89	88	90	89	88	90	89	79	85	48	44	85	0
2	Malcolm Subban	100.00	79	75	73	80	78	77	79	78	77	79	78	71	75	77	50	76	0
Rayé

	MOYENNE D'ÉQUIPE	98.50	85	80	78	82	84	83	85	84	83	85	84	75	80	63	47	81

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Alain Vigneault	78	76	79	83	87	81	59	CAN	58	4	3,500,000$

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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	PKM	GW	FO%	FOT	P/20	S1	S2	S3
1	Anze Kopitar	Los Angeles Kings	C	5	1	3	4	-1	0	2	25	17	2	14	5.88%	1	124	24.98	0	1	1	4	15	14	1	65.24%	187	0.64	0	0	0
2	Leo Komarov	Los Angeles Kings	RW	5	2	2	4	3	6	10	5	11	5	9	18.18%	1	73	14.75	0	1	1	0	13	0	0	33.33%	3	1.08	0	1	0
3	Carl Hagelin	Los Angeles Kings	LW	5	1	2	3	3	0	10	1	11	2	18	9.09%	0	76	15.38	0	0	0	0	0	6	0	30.00%	10	0.78	0	0	1
4	Max Pacioretty	Los Angeles Kings	LW	5	3	0	3	-5	2	5	5	24	5	7	12.50%	3	101	20.26	1	0	1	3	13	4	1	41.67%	12	0.59	1	0	0
5	Mats Zuccarello	Los Angeles Kings	C/RW	5	1	2	3	-1	8	10	4	9	8	13	11.11%	0	89	17.84	1	0	1	3	15	0	0	28.57%	7	0.67	0	0	0
6	Adam Pelech	Los Angeles Kings	D	5	0	3	3	0	4	12	9	6	3	4	0.00%	6	123	24.64	0	2	2	5	16	10	0	0.00%	0	0.49	0	0	0
7	Elias Pettersson	Los Angeles Kings	C/LW	5	2	1	3	-1	0	5	12	16	6	11	12.50%	1	108	21.73	0	1	1	3	15	14	0	52.63%	38	0.55	0	1	0
8	Mathieu Joseph	Los Angeles Kings	RW	5	0	2	2	-5	0	3	4	7	4	2	0.00%	3	84	16.91	0	0	0	0	0	2	0	54.55%	11	0.47	0	0	0
9	Ryan Pulock	Los Angeles Kings	D	5	1	1	2	-1	4	16	3	9	4	3	11.11%	7	122	24.55	1	1	2	5	16	11	0	0.00%	0	0.33	0	0	0
10	Brandon Dubinsky	Los Angeles Kings	C	5	0	1	1	-5	0	7	9	8	2	4	0.00%	3	80	16.07	0	0	0	2	13	0	0	44.44%	99	0.25	0	0	0
11	Jakob Chychrun	Los Angeles Kings	D	5	0	1	1	-2	6	10	4	4	3	1	0.00%	1	99	19.93	0	0	0	3	13	8	0	0.00%	0	0.20	0	0	0
12	Darren Helm	Los Angeles Kings	LW	5	1	0	1	0	0	0	5	6	0	3	16.67%	0	17	3.58	0	0	0	0	1	0	0	60.00%	5	1.12	0	0	0
13	Ryan Reaves	Los Angeles Kings	RW	5	0	1	1	0	2	1	0	1	0	0	0.00%	0	26	5.29	0	0	0	0	0	0	0	50.00%	2	0.76	0	0	0
14	Thomas Hickey	Los Angeles Kings	D	5	0	1	1	-2	0	12	6	3	2	4	0.00%	6	100	20.13	0	0	0	1	13	9	0	0.00%	0	0.20	0	0	0
15	Lawrence Pilut	Los Angeles Kings	D	5	0	1	1	0	0	0	2	0	0	1	0.00%	3	78	15.61	0	0	0	0	0	4	0	0.00%	0	0.26	0	0	0
16	Brandon Tanev	Los Angeles Kings	LW	5	0	0	0	1	0	3	7	4	2	6	0.00%	0	34	6.81	0	0	0	0	0	0	0	66.67%	3	0.00	0	0	0
17	Dillon Dube	Los Angeles Kings	C	5	0	0	0	2	0	0	8	4	1	9	0.00%	1	53	10.63	0	0	0	0	0	0	0	42.00%	50	0.00	0	0	0
18	Logan Stanley	Los Angeles Kings	D	5	0	0	0	-1	2	23	0	0	0	0	0.00%	5	75	15.12	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				90	12	21	33	-15	34	129	109	140	49	109	8.57%	41	1471	16.35	3	6	9	29	149	87	2	53.86%	427	0.45	1	2	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 Gardien	Nom de l'Équipe	GP	W	L	PCT	GAA	MP	PIM	SO	GA	SA	EG	ST	BG	S1
1	James Reimer	Los Angeles Kings	5	2	2	0.882	3.23	260	2	1	14	119	1	5	0	1
2	Malcolm Subban	Los Angeles Kings	1	0	1	0.810	6.15	39	0	0	4	21	0	0	5	0
Stats d'équipe Total ou en Moyenne			6	2	3	0.871	3.61	299	2	1	18	140	1	5	5	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
Adam Pelech	Los Angeles Kings	D	24	1994-08-16	No	218 Lbs	6 ft3	No	No	No	4	Avec Restriction	Pro & Farm	2,500,000$	2,500,000$	2,326,203$	No	Lien
Anze Kopitar	Los Angeles Kings	C	31	1987-08-24	No	225 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	6,500,000$	6,500,000$	6,048,128$	No	Lien
Brandon Dubinsky	Los Angeles Kings	C	33	1986-04-29	No	205 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	4,652,406$	No	Lien
Brandon Tanev	Los Angeles Kings	LW	27	1991-12-31	No	180 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	300,000$	300,000$	279,144$	No	Lien
Carl Hagelin	Los Angeles Kings	LW	30	1988-08-23	No	186 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	2,500,000$	2,500,000$	2,326,203$	No	Lien
Darren Helm	Los Angeles Kings	LW	32	1987-01-21	No	196 Lbs	6 ft0	No	No	No	4	Sans Restriction	Pro & Farm	2,500,000$	2,500,000$	2,326,203$	No	Lien
Dillon Dube	Los Angeles Kings	C	20	1998-07-20	Yes	187 Lbs	5 ft11	No	No	No	4	Contrat d'Entrée	Pro & Farm	500,000$	500,000$	465,241$	No	Lien
Elias Pettersson	Los Angeles Kings	C/LW	20	1998-11-12	Yes	176 Lbs	6 ft2	No	No	No	4	Contrat d'Entrée	Pro & Farm	900,000$	900,000$	837,433$	No	Lien
Jakob Chychrun	Los Angeles Kings	D	21	1998-03-31	No	210 Lbs	6 ft2	No	No	No	2	Contrat d'Entrée	Pro & Farm	900,000$	900,000$	837,433$	No	Lien
James Reimer	Los Angeles Kings	G	31	1988-03-15	No	220 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	4,652,406$	No	Lien
Lawrence Pilut	Los Angeles Kings	D	23	1995-12-30	No	180 Lbs	5 ft11	No	No	No	4	Avec Restriction	Pro & Farm	300,000$	300,000$	279,144$	No	Lien
Leo Komarov	Los Angeles Kings	RW	32	1987-01-23	No	209 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	3,256,684$	No	Lien
Logan Stanley	Los Angeles Kings	D	21	1998-05-26	Yes	228 Lbs	6 ft7	No	No	No	4	Contrat d'Entrée	Pro & Farm	500,000$	500,000$	465,241$	No	Lien
Malcolm Subban	Los Angeles Kings	G	25	1993-12-21	No	200 Lbs	6 ft2	No	No	No	4	Avec Restriction	Pro & Farm	500,000$	500,000$	465,241$	No	Lien
Mathieu Joseph	Los Angeles Kings	RW	22	1997-02-09	No	190 Lbs	6 ft1	No	No	No	3	Contrat d'Entrée	Pro & Farm	500,000$	500,000$	465,241$	No	Lien
Mats Zuccarello	Los Angeles Kings	C/RW	31	1987-09-01	No	184 Lbs	5 ft8	No	No	No	1	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	4,652,406$	No	Lien
Max Pacioretty	Los Angeles Kings	LW	30	1988-11-20	No	206 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	3,256,684$	No	Lien
Ryan Pulock	Los Angeles Kings	D	24	1994-10-06	No	217 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	2,500,000$	2,500,000$	2,326,203$	No	Lien
Ryan Reaves	Los Angeles Kings	RW	32	1987-01-20	No	225 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$	930,481$	No	Lien
Thomas Hickey	Los Angeles Kings	D	30	1989-02-08	No	183 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro & Farm	2,500,000$	2,500,000$	2,326,203$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	26.95	201 Lbs	6 ft1	2.70	2,320,000$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
46,400,000$	35,400,000$	17,200,000$	7,700,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Max Pacioretty	Anze Kopitar	Mathieu Joseph	40	1	2	2
2	Carl Hagelin	Elias Pettersson	Mats Zuccarello	30	1	2	2
3	Brandon Tanev	Brandon Dubinsky	Leo Komarov	20	1	2	2
4	Darren Helm	Dillon Dube	Ryan Reaves	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Pulock	Adam Pelech	40	1	2	2
2	Thomas Hickey	Jakob Chychrun	30	1	2	2
3	Logan Stanley	Lawrence Pilut	20	1	2	2
4	Ryan Pulock	Adam Pelech	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Elias Pettersson	Anze Kopitar	Mats Zuccarello	60	1	2	2
2	Max Pacioretty	Brandon Dubinsky	Leo Komarov	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Pulock	Adam Pelech	60	1	2	2
2	Thomas Hickey	Jakob Chychrun	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Anze Kopitar	Elias Pettersson	60	1	2	2
2	Max Pacioretty	Carl Hagelin	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Pulock	Adam Pelech	60	1	2	2
2	Thomas Hickey	Jakob Chychrun	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Anze Kopitar	60	1	2	2	Ryan Pulock	Adam Pelech	60	1	2	2
2	Elias Pettersson	40	1	2	2	Thomas Hickey	Jakob Chychrun	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Anze Kopitar	Elias Pettersson	60	1	2	2
2	Max Pacioretty	Carl Hagelin	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Pulock	Adam Pelech	60	1	2	2
2	Thomas Hickey	Jakob Chychrun	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Elias Pettersson	Anze Kopitar	Mats Zuccarello	Ryan Pulock	Adam Pelech

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Elias Pettersson	Anze Kopitar	Mats Zuccarello	Ryan Pulock	Adam Pelech

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Darren Helm, Brandon Tanev, Mathieu Joseph	Darren Helm, Brandon Tanev	Mathieu Joseph

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Logan Stanley, Lawrence Pilut, Thomas Hickey	Logan Stanley	Lawrence Pilut, Thomas Hickey

Tirs de Pénalité
Anze Kopitar, Elias Pettersson, Max Pacioretty, Carl Hagelin, Mats Zuccarello

Gardien
#1 : James Reimer, #2 : Malcolm Subban

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

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

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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

	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	Calgary Flames	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	1	0	1	0	1	0	26	7	10	9	0	34	11	12	24	6	1	16.67%	6	1	83.33%	0	90	171	52.63%	93	165	56.36%	47	91	51.65%	22	15	24	7	12	6
2	Edmonton Oilers	1	0	1	0	0	0	0	0	4	8	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	8	-4	0	0.000	4	7	11	0	0	0	3	1	0	25	5	14	6	0	33	4	12	25	3	1	33.33%	6	4	33.33%	0	90	171	52.63%	93	165	56.36%	47	91	51.65%	21	14	25	7	13	6
3	Nashville Predators	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	2	0	1	0	28	14	9	5	0	30	9	6	32	4	1	25.00%	2	1	50.00%	0	90	171	52.63%	93	165	56.36%	47	91	51.65%	25	17	21	7	13	6
	Total	5	2	3	0	0	0	0	0	12	19	-7	2	2	0	0	0	0	0	0	5	2	3	3	0	3	0	0	0	0	0	7	17	-10	4	0.400	12	21	33	1	1	5	4	3	0	140	41	52	47	0	141	41	36	129	20	3	15.00%	16	7	56.25%	0	90	171	52.63%	93	165	56.36%	47	91	51.65%	116	80	118	37	65	31
5	Vancouver Canucks	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	1	2	3	0	0	1	0	0	0	26	6	10	10	0	27	10	6	29	4	0	0.00%	2	1	50.00%	0	90	171	52.63%	93	165	56.36%	47	91	51.65%	22	15	23	7	13	6
6	Vegas Golden Knights	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	3	5	0	1	1	1	0	0	35	9	9	17	0	17	7	0	19	3	0	0.00%	0	0	0.00%	0	90	171	52.63%	93	165	56.36%	47	91	51.65%	24	17	23	7	12	6
	_Since Last GM Reset	5	2	3	0	0	0	0	0	12	19	-7	2	2	0	0	0	0	0	0	5	2	3	3	0	3	0	0	0	0	0	7	17	-10	4	0.400	12	21	33	1	1	5	4	3	0	140	41	52	47	0	141	41	36	129	20	3	15.00%	16	7	56.25%	0	90	171	52.63%	93	165	56.36%	47	91	51.65%	116	80	118	37	65	31
	_Vs Conference	5	2	3	0	0	0	0	0	12	19	-7	2	2	0	0	0	0	0	0	5	2	3	3	0	3	0	0	0	0	0	7	17	-10	4	0.400	12	21	33	1	1	5	4	3	0	140	41	52	47	0	141	41	36	129	20	3	15.00%	16	7	56.25%	0	90	171	52.63%	93	165	56.36%	47	91	51.65%	116	80	118	37	65	31
	_Vs Division	4	1	3	0	0	0	0	0	9	17	-8	1	1	0	0	0	0	0	0	2	0	2	3	0	3	0	0	0	0	0	7	17	-10	2	0.250	9	15	24	1	1	3	4	2	0	112	27	43	42	0	111	32	30	97	16	2	12.50%	14	6	57.14%	0	90	171	52.63%	93	165	56.36%	47	91	51.65%	91	62	96	30	51	25

			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
5	4	W2	12	21	33	140	141	41	36	129	1	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	3	0	0	0	0	12	19

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	5	2

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	7	17

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

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
20	3	15.00%	16	7	56.25%	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
41	52	47	0	5	4	3	0

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
90	171	52.63%	93	165	56.36%	47	91	51.65%

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
116	80	118	37	65	31

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	Lien
4 - 2019-09-05	30	Los Angeles Kings	4	Edmonton Oilers	8	L	Sommaire du Match
7 - 2019-09-08	42	Los Angeles Kings	2	Calgary Flames	4	L	Sommaire du Match
8 - 2019-09-09	46	Los Angeles Kings	1	Vancouver Canucks	5	L	Sommaire du Match
11 - 2019-09-12	63	Nashville Predators	2	Los Angeles Kings	3	W	Sommaire du Match
12 - 2019-09-13	76	Vegas Golden Knights	0	Los Angeles Kings	2	W	Sommaire du Match
14 - 2019-09-15	91	Carolina Hurricanes	-	Los Angeles Kings	-
16 - 2019-09-17	106	Buffalo Sabres	-	Los Angeles Kings	-
18 - 2019-09-19	122	Calgary Flames	-	Los Angeles Kings	-
21 - 2019-09-22	140	Los Angeles Kings	-	Winnipeg Jets	-
23 - 2019-09-24	149	Los Angeles Kings	-	St. Louis Blues	-
25 - 2019-09-26	167	Los Angeles Kings	-	Minnesota Wild	-
26 - 2019-09-27	172	Los Angeles Kings	-	Chicago Blackhawks	-
29 - 2019-09-30	193	Vancouver Canucks	-	Los Angeles Kings	-
32 - 2019-10-03	217	Chicago Blackhawks	-	Los Angeles Kings	-
35 - 2019-10-06	228	Los Angeles Kings	-	Toronto Maple Leafs	-
37 - 2019-10-08	242	Los Angeles Kings	-	Ottawa Senators	-
39 - 2019-10-10	255	Los Angeles Kings	-	Montreal Canadiens	-
42 - 2019-10-13	279	Minnesota Wild	-	Los Angeles Kings	-
44 - 2019-10-15	293	Detroit Red Wings	-	Los Angeles Kings	-
46 - 2019-10-17	312	Vegas Golden Knights	-	Los Angeles Kings	-
48 - 2019-10-19	317	Los Angeles Kings	-	Phoenix Coyotes	-
51 - 2019-10-22	345	Edmonton Oilers	-	Los Angeles Kings	-
53 - 2019-10-24	350	Phoenix Coyotes	-	Los Angeles Kings	-
55 - 2019-10-26	373	San Jose Sharks	-	Los Angeles Kings	-
57 - 2019-10-28	388	New York Islanders	-	Los Angeles Kings	-
59 - 2019-10-30	393	Los Angeles Kings	-	San Jose Sharks	-
60 - 2019-10-31	414	Winnipeg Jets	-	Los Angeles Kings	-
62 - 2019-11-02	423	Los Angeles Kings	-	Anaheim Ducks	-
64 - 2019-11-04	437	Washington Capitals	-	Los Angeles Kings	-
66 - 2019-11-06	450	Los Angeles Kings	-	Edmonton Oilers	-
67 - 2019-11-07	462	Los Angeles Kings	-	Calgary Flames	-
70 - 2019-11-10	483	New York Rangers	-	Los Angeles Kings	-
72 - 2019-11-12	497	Los Angeles Kings	-	Anaheim Ducks	-
74 - 2019-11-14	511	Los Angeles Kings	-	Pittsburgh Penguins	-
75 - 2019-11-15	517	Los Angeles Kings	-	Detroit Red Wings	-
77 - 2019-11-17	524	Los Angeles Kings	-	Boston Bruins	-
79 - 2019-11-19	541	Los Angeles Kings	-	Columbus Blue Jackets	-
81 - 2019-11-21	552	Los Angeles Kings	-	Buffalo Sabres	-
83 - 2019-11-23	581	St. Louis Blues	-	Los Angeles Kings	-
87 - 2019-11-27	592	Los Angeles Kings	-	San Jose Sharks	-
88 - 2019-11-28	599	Los Angeles Kings	-	Vancouver Canucks	-
91 - 2019-12-01	622	Philadelphia Flyers	-	Los Angeles Kings	-
95 - 2019-12-05	652	Nashville Predators	-	Los Angeles Kings	-
97 - 2019-12-07	662	Columbus Blue Jackets	-	Los Angeles Kings	-
99 - 2019-12-09	677	Dallas Stars	-	Los Angeles Kings	-
100 - 2019-12-10	686	Los Angeles Kings	-	Vegas Golden Knights	-
102 - 2019-12-12	697	Los Angeles Kings	-	Carolina Hurricanes	-
105 - 2019-12-15	716	Los Angeles Kings	-	Tampa Bay Lightning	-
107 - 2019-12-17	729	Los Angeles Kings	-	Florida Panthers	-
109 - 2019-12-19	750	Los Angeles Kings	-	Philadelphia Flyers	-
120 - 2019-12-30	779	Tampa Bay Lightning	-	Los Angeles Kings	-
121 - 2019-12-31	784	Los Angeles Kings	-	Phoenix Coyotes	-
123 - 2020-01-02	804	Anaheim Ducks	-	Los Angeles Kings	-
126 - 2020-01-05	817	Los Angeles Kings	-	Washington Capitals	-
128 - 2020-01-07	831	Los Angeles Kings	-	New York Islanders	-
130 - 2020-01-09	849	Los Angeles Kings	-	New Jersey Devils	-
131 - 2020-01-10	857	Los Angeles Kings	-	New York Rangers	-
134 - 2020-01-13	878	Calgary Flames	-	Los Angeles Kings	-
137 - 2020-01-16	902	Los Angeles Kings	-	Colorado Avalanche	-
140 - 2020-01-19	926	Los Angeles Kings	-	Winnipeg Jets	-
142 - 2020-01-21	940	Florida Panthers	-	Los Angeles Kings	-
144 - 2020-01-23	958	Colorado Avalanche	-	Los Angeles Kings	-
145 - 2020-01-24	966	Edmonton Oilers	-	Los Angeles Kings	-
148 - 2020-01-27	983	Pittsburgh Penguins	-	Los Angeles Kings	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
151 - 2020-01-30	1000	New Jersey Devils	-	Los Angeles Kings	-
152 - 2020-01-31	1016	Los Angeles Kings	-	Vegas Golden Knights	-
156 - 2020-02-04	1041	Toronto Maple Leafs	-	Los Angeles Kings	-
158 - 2020-02-06	1052	Minnesota Wild	-	Los Angeles Kings	-
160 - 2020-02-08	1069	Colorado Avalanche	-	Los Angeles Kings	-
162 - 2020-02-10	1082	Ottawa Senators	-	Los Angeles Kings	-
165 - 2020-02-13	1099	Anaheim Ducks	-	Los Angeles Kings	-
168 - 2020-02-16	1131	Montreal Canadiens	-	Los Angeles Kings	-
170 - 2020-02-18	1144	Boston Bruins	-	Los Angeles Kings	-
172 - 2020-02-20	1161	Vancouver Canucks	-	Los Angeles Kings	-
173 - 2020-02-21	1169	Phoenix Coyotes	-	Los Angeles Kings	-
175 - 2020-02-23	1184	Los Angeles Kings	-	Dallas Stars	-
177 - 2020-02-25	1197	Los Angeles Kings	-	Nashville Predators	-
178 - 2020-02-26	1200	Los Angeles Kings	-	St. Louis Blues	-
180 - 2020-02-28	1217	Los Angeles Kings	-	Chicago Blackhawks	-
182 - 2020-03-01	1238	San Jose Sharks	-	Los Angeles Kings	-
185 - 2020-03-04	1256	Los Angeles Kings	-	Anaheim Ducks	-
186 - 2020-03-05	1270	Dallas Stars	-	Los Angeles Kings	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	100	60	35	20	200
Assistance	11,121	9,525	3,919	7,875	1,794
Attendance PCT	92.68%	95.25%	97.98%	98.44%	89.70%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
39	17117 - 95.09%	595,952$	1,191,903$	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
3,468,985$	46,400,000$	16,000,000$	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
46,400,000$	3,225,664$	0$	20	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
23,242,108$	174	266,845$	46,431,030$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
46,568,228$	46,400,000$	80,308,091$	56,981,971$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

*Elias Pettersson	AGE:20	PO:88	OV:73
Max Pacioretty	AGE:30	PO:64	OV:72
Carl Hagelin	AGE:30	PO:38	OV:70
Brandon Tanev	AGE:27	PO:36	OV:69
Darren Helm	AGE:32	PO:35	OV:69

Anze Kopitar	AGE:31	PO:52	OV:78
*Elias Pettersson	AGE:20	PO:88	OV:73
Mats Zuccarello	AGE:31	PO:27	OV:70
Brandon Dubinsky	AGE:33	PO:40	OV:67
*Dillon Dube	AGE:20	PO:71	OV:63
Cole Bardreau	AGE:25	PO:59	OV:57

Mats Zuccarello	AGE:31	PO:27	OV:70
Leo Komarov	AGE:32	PO:30	OV:69
Mathieu Joseph	AGE:22	PO:59	OV:66
Ryan Reaves	AGE:32	PO:30	OV:64
John Hayden	AGE:24	PO:59	OV:63
*Carl Grundstrom	AGE:21	PO:78	OV:62
Jordan Schroeder	AGE:28	PO:66	OV:61
Darren Archibald	AGE:29	PO:46	OV:61

Défense #1

Défense #2

Gardien

Ryan Pulock	AGE:24	PO:81	OV:73
Adam Pelech	AGE:24	PO:64	OV:72
Thomas Hickey	AGE:30	PO:71	OV:68
Jakob Chychrun	AGE:21	PO:84	OV:67
*Logan Stanley	AGE:21	PO:64	OV:66

Lawrence Pilut	AGE:23	PO:52	OV:63
Rob O'Gara	AGE:25	PO:59	OV:62
Sebastien Aho	AGE:23	PO:56	OV:62
Tucker Poolman	AGE:26	PO:55	OV:62
Jesse Graham	AGE:25	PO:63	OV:59

James Reimer	AGE:31	PO:48	OV:85
Malcolm Subban	AGE:25	PO:77	OV:76
*Ilya Samsonov	AGE:22	PO:84	OV:72
Dan Vladar	AGE:21	PO:74	OV:71

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
Aarne Talvitie	Los Angeles Kings	13	119
Adam Boqvist	Los Angeles Kings	14	5
Anthony Peters	Los Angeles Kings
Bode Wilde	Los Angeles Kings	14	26
David Noel	Los Angeles Kings	13	135
Filip Johansson	Los Angeles Kings	14	84
Ian Scott	Los Angeles Kings	13	146
Jack Drury	Los Angeles Kings	14	45
Jan Jenik	Los Angeles Kings	14	64
Matthew Bradley	Los Angeles Kings	11	106
Maxim Mamin	Los Angeles Kings
Rodrigo Abols	Los Angeles Kings	12	134
Ruslan Iskhakov	Los Angeles Kings	14	33
Sebastian AhoD	Los Angeles Kings
Todd Burgess	Los Angeles Kings	12	118
Victor Berglund	Los Angeles Kings	13	156
Wade Allison	Los Angeles Kings	12	53

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6
15	Los NYR Bos	Los MTL Flo	Los Dal VGK	Bos Dal Pit	NYI Los	New Los PHX
16	Los PHX	Bos Tor Los	Los Bos	Los	Los Bos	Los
17	Los	Los	Los		Los	Los MTL PHX
18	Los	Los	Los	Los	Los	MTL Los
19	Los	Los		Los	Los MTL	Los

[2019-09-14 12:44:50] - TRADE : From Los Angeles Kings to Montreal Canadiens : Jamie McGinn (64), Y:19-RND:3-Los, Y:17-RND:3-Tor.
[2019-09-14 12:44:50] - TRADE : From Montreal Canadiens to Los Angeles Kings : James Reimer (84), John Hayden (64), Y:19-RND:5-MTL.
[2019-08-02 11:40:45] - Lawrence Pilut was added to Los Angeles Kings.
[2019-07-28 16:43:31] - TRADE : From Los Angeles Kings to New Jersey Devils : Richard Bachman (73).
[2019-07-28 16:42:34] - TRADE : From Los Angeles Kings to Tampa Bay Lightning : Nicolas Deslauriers (64).
[2019-07-17 08:58:11] - TRADE : From New York Rangers to Los Angeles Kings : Y:15-RND:4-Bos, Y:15-RND:6-New.
[2019-07-17 08:58:11] - TRADE : From Los Angeles Kings to New York Rangers : Y:14-RND:5-Col, Y:14-RND:6-Los.
[2019-07-04 11:16:37] - TRADE : From Los Angeles Kings to Boston Bruins : Y:14-RND:5-Los.
[2019-07-04 11:16:37] - TRADE : From Boston Bruins to Los Angeles Kings : Y:15-RND:5-NYI.
[2019-06-27 19:56:44] - Steve Moses has been deleted from Los Angeles Kings.
[2019-06-27 19:56:40] - Scott Glennie has been deleted from Los Angeles Kings.
[2019-06-27 19:56:35] - Mattias Elfstrom has been deleted from Los Angeles Kings.
[2019-06-27 19:56:31] - Mark Fayne has been deleted from Los Angeles Kings.
[2019-06-27 19:56:28] - Casey Bailey has been deleted from Los Angeles Kings.
[2019-06-27 19:56:25] - James Wisniewski has been deleted from Los Angeles Kings.
[2019-06-27 19:56:23] - Daniel Pribyl has been deleted from Los Angeles Kings.
[2019-06-27 19:56:18] - Zach Sill has been deleted from Los Angeles Kings.
[2019-06-22 09:21:49] - Los Angeles Kings drafts Filip Johansson as the #84 overall pick in the Entry Draft of year 14.
[2019-06-20 20:18:22] - Sebastien Aho was added to Los Angeles Kings.

[2019-10-10 07:43:06] Successfully loaded Los Angeles Kings lines done with STHS Client - 3.1.9.9
[2019-09-25 08:55:45] Successfully loaded Los Angeles Kings lines done with STHS Client - 3.1.9.9
[2019-09-25 08:55:45] Ilya Samsonov of Los Angeles Kings was sent to farm.
[2019-09-25 08:55:45] James Reimer of Los Angeles Kings was sent to pro.
[2019-09-25 08:55:45] Dan Vladar of Los Angeles Kings was sent to farm.
[2019-09-25 08:55:45] Sebastien Aho of Los Angeles Kings was sent down to farm.
[2019-09-25 08:55:45] Carl Grundstrom of Los Angeles Kings was sent down to farm.
[2019-09-25 08:55:45] Tucker Poolman of Los Angeles Kings was sent down to farm.
[2019-09-25 08:55:45] Rob O'Gara of Los Angeles Kings was sent down to farm.
[2019-09-25 08:55:45] Darren Archibald of Los Angeles Kings was sent down to farm.
[2019-09-25 08:55:45] Mathieu Joseph of Los Angeles Kings was sent to pro.
[2019-09-25 08:55:45] John Hayden of Los Angeles Kings was sent down to farm.
[2019-09-24 09:17:37] Anze Kopitar from Los Angeles Kings has scored a Hat Trick!
[2019-09-15 07:27:53] Auto Lines Partial Function has been run for Los Angeles Kings.
[2019-09-15 07:27:53] Auto Roster Partial Function has been run for Los Angeles Kings.
[2019-09-14 12:44:50] TRADE : From Los Angeles Kings to Montreal Canadiens : Jamie McGinn (64), Y:19-RND:3-Los, Y:17-RND:3-Tor.
[2019-09-14 12:44:50] TRADE : From Montreal Canadiens to Los Angeles Kings : James Reimer (84), John Hayden (64), Y:19-RND:5-MTL.

Pas de Blessure ou de Suspension.

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	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
14	5	2	3	0	0	0	0	0	12	19	-7	2	2	0	0	0	0	0	0	5	2	3	3	0	3	0	0	0	0	0	7	17	-10	4	12	21	33	1	1	5	4	3	0	140	41	52	47	0	141	41	36	129	20	3	15.00%	16	7	56.25%	0	90	171	52.63%	93	165	56.36%	47	91	51.65%	116	80	118	37	65	31
Total Saison Régulière	5	2	3	0	0	0	0	0	12	19	-7	2	2	0	0	0	0	0	0	5	2	3	3	0	3	0	0	0	0	0	7	17	-10	4	12	21	33	1	1	5	4	3	0	140	41	52	47	0	141	41	36	129	20	3	15.00%	16	7	56.25%	0	90	171	52.63%	93	165	56.36%	47	91	51.65%	116	80	118	37	65	31