LHSRSM - Avalanche

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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	Steven Stamkos (C)	X				100.00	67	44	73	87	76	83	95	85	79	86	84	67	89	77	88	0	81	76	0
2	Elias Lindholm	X		X		100.00	74	38	88	79	77	85	94	78	80	82	74	81	76	69	70	0	90	73	0
3	Ryan O'Reilly (A)	X				99.50	57	36	93	78	81	87	95	77	90	81	76	83	73	75	73	0	86	73	0
4	Alex DeBrincat		X	X		100.00	57	41	92	81	62	83	95	79	56	75	82	58	80	63	65	0	85	71	0
5	Jakob Silfverberg			X		100.00	59	39	85	76	78	82	86	73	56	71	74	80	72	77	73	0	80	71	0
6	Tyler Toffoli		X	X		100.00	62	43	88	76	74	83	95	74	56	71	73	66	75	73	70	0	81	70	0
7	Andreas Johnsson		X	X		100.00	64	39	83	76	67	75	86	73	53	72	74	65	71	69	68	0	90	69	0
8	Jared McCann	X	X			100.00	66	44	82	73	74	77	92	72	83	71	68	74	70	65	68	0	90	68	0
9	Ondrej Kase			X		100.00	57	35	90	76	70	80	50	74	53	72	77	62	73	67	66	0	85	68	0
10	Alexander Kerfoot	X	X			100.00	56	40	82	74	65	77	91	73	76	74	70	58	72	71	66	0	85	67	0
11	Oskar Sundqvist	X				100.00	79	38	85	66	85	75	87	64	75	65	63	76	63	69	67	0	91	67	0
12	Scott Laughton	X	X			100.00	82	47	76	68	75	78	95	67	78	66	64	73	65	69	66	0	86	67	0
13	Tyler Myers				X	100.00	73	48	73	67	99	86	93	65	30	77	66	82	53	77	72	0	85	70	0
14	David Savard				X	100.00	82	39	80	65	86	85	95	63	30	72	64	83	54	77	70	0	87	69	0
15	Ben Lovejoy				X	100.00	79	45	80	62	78	82	84	59	30	66	58	84	51	85	75	0	90	66	0
16	Thomas Hickey				X	100.00	73	44	78	64	71	76	63	63	30	74	58	81	53	78	70	0	90	66	0
17	Oscar Fantenberg				X	100.00	81	43	85	62	76	81	74	61	30	67	59	68	53	75	68	0	51	65	0
18	Mirco Mueller				X	100.00	74	43	87	62	85	83	66	61	30	72	54	77	52	67	64	0	38	65	0
Rayé
1	Jayson Megna	X				100.00	62	37	88	60	76	94	92	59	62	58	57	59	58	77	69	0	39	62	0
2	Shea Weber				X	95.53	88	40	79	74	92	90	71	73	30	77	78	82	51	84	92	0	84	75	0
3	Cam Fowler (A)				X	90.53	58	38	83	75	82	90	69	74	30	76	67	78	59	75	78	0	78	70	0

	MOYENNE D'ÉQUIPE					99.31	69	41	83	71	78	82	84	70	54	73	69	73	65	73	71	0	80	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	Tuukka Rask	100.00	95	91	89	79	94	93	95	94	93	95	94	80	86	0	85	77	0
2	Anders Nilsson	100.00	84	84	82	98	83	82	84	83	82	84	83	77	83	0	89	72	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	90	88	86	89	89	88	90	89	88	90	89	79	85	0	87	75

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dave Hakstol	76	73	79	76	75	70	75	CAN	50	3	100,000$

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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	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	FT	S1	S2	S3
1	Elias Lindholm	Avalanche	C/RW	20	8	15	23	4	22	0	46	57	55	16	41	14.55%	7	418	20.91	2	5	7	16	79	0	49	1	1	51.31%	382	0	1	1.10	0	1	0	1
2	Steven Stamkos	Avalanche	C	20	9	9	18	2	16	0	49	41	89	20	49	10.11%	3	376	18.81	3	4	7	15	77	0	0	3	0	50.00%	154	0	0	0.96	0	2	1	2
3	Ryan O'Reilly	Avalanche	C	20	4	9	13	3	4	0	16	65	76	16	47	5.26%	7	453	22.65	1	2	3	17	65	3	94	0	0	53.01%	664	0	0	0.57	0	1	0	1
4	Jakob Silfverberg	Avalanche	RW	20	3	10	13	3	27	5	9	25	69	16	34	4.35%	3	362	18.11	0	3	3	22	63	2	33	0	0	40.74%	27	0	0	0.72	1	0	0	0
5	Alex DeBrincat	Avalanche	LW/RW	20	5	7	12	3	6	0	18	21	56	9	35	8.93%	2	390	19.51	0	3	3	10	65	2	12	1	0	24.14%	29	0	1	0.62	0	1	1	2
6	Tyler Myers	Avalanche	D	20	3	9	12	1	37	5	25	28	26	6	17	11.54%	24	477	23.89	2	2	4	16	75	0	67	0	2	0.00%	0	0	0	0.50	1	0	0	0
7	Tyler Toffoli	Avalanche	LW/RW	20	6	6	12	3	5	5	19	25	40	14	26	15.00%	1	354	17.74	1	2	3	11	78	0	0	2	0	44.44%	18	0	0	0.68	1	0	1	0
8	Cam Fowler	Avalanche	D	15	4	7	11	1	4	0	6	19	24	8	15	16.67%	9	297	19.84	3	2	5	14	61	0	7	0	0	0.00%	0	0	0	0.74	0	0	0	2
9	Andreas Johnsson	Avalanche	LW/RW	20	2	7	9	4	2	0	29	21	35	9	28	5.71%	4	391	19.59	1	2	3	9	64	1	87	2	0	37.04%	54	0	0	0.46	0	0	0	3
10	Shea Weber	Avalanche	D	14	2	7	9	3	22	0	30	20	26	15	20	7.69%	23	325	23.27	1	2	3	17	47	0	46	1	0	0.00%	0	0	0	0.55	0	0	1	0
11	Jared McCann	Avalanche	C/LW	20	4	4	8	3	10	0	25	17	33	13	24	12.12%	5	225	11.27	0	0	0	0	0	0	1	1	0	52.63%	19	1	0	0.71	0	1	1	0
12	Alexander Kerfoot	Avalanche	C/LW	20	3	4	7	3	4	0	10	32	20	2	19	15.00%	1	242	12.15	0	0	0	0	2	1	13	0	0	41.75%	309	0	0	0.58	0	1	1	0
13	Oskar Sundqvist	Avalanche	C	20	3	2	5	-1	6	0	10	15	20	7	9	15.00%	4	174	8.72	0	0	0	0	0	0	0	0	0	42.94%	163	0	0	0.57	0	1	0	0
14	Thomas Hickey	Avalanche	D	20	0	5	5	2	10	0	26	21	10	3	10	0.00%	33	380	19.03	0	0	0	4	15	0	42	0	0	0.00%	0	0	0	0.26	0	0	1	0
15	David Savard	Avalanche	D	20	0	4	4	-1	20	0	55	19	15	2	12	0.00%	26	417	20.86	0	0	0	2	17	1	63	0	0	0.00%	0	0	0	0.19	0	0	0	0
16	Ben Lovejoy	Avalanche	D	20	2	1	3	12	21	5	39	20	11	5	6	18.18%	37	399	19.99	0	0	0	0	5	1	56	1	0	0.00%	0	0	0	0.15	1	0	0	0
17	Ondrej Kase	Avalanche	RW	20	2	1	3	-1	0	0	0	14	22	7	21	9.09%	0	176	8.83	0	0	0	0	0	0	0	2	0	45.45%	11	0	0	0.34	0	0	1	0
18	Oscar Fantenberg	Avalanche	D	4	0	2	2	2	4	0	3	3	0	0	1	0.00%	3	63	15.99	0	0	0	0	0	0	3	0	0	0.00%	0	0	0	0.63	0	0	0	0
19	Mirco Mueller	Avalanche	D	7	1	1	2	-2	4	0	10	9	1	1	3	100.00%	8	119	17.04	0	0	0	0	0	0	4	0	0	0.00%	0	0	0	0.34	0	0	0	0
20	Scott Laughton	Avalanche	C/LW	20	0	1	1	-1	6	0	18	9	18	4	11	0.00%	7	174	8.72	0	0	0	0	0	0	0	0	0	33.33%	9	0	0	0.11	0	0	0	0
Stats d'équipe Total ou en Moyenne				360	61	111	172	43	230	20	443	481	646	173	428	9.44%	207	6222	17.28	14	27	41	153	722	11	583	14	3	48.29%	1839	1	2	0.55	4	8	8	11

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	A	EG	ST	BG	S1	S2	S3
1	Tuukka Rask	Avalanche	20	14	5	1	0.913	2.53	1232	2	52	601	1	1	20	0	3	1	1
2	Anders Nilsson	Avalanche	1	0	0	0	0.952	1.36	44	0	1	21	0	0	0	20	0	0	0
Stats d'équipe Total ou en Moyenne			21	14	5	1	0.915	2.49	1277	2	53	622	1	1	20	20	3	1	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	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Salaire Année 8	Link
Alex DeBrincat	Avalanche	LW/RW	20	1997-12-18	No	165 Lbs	5 ft7	No	No	No	2	Pro & Farm	894,166$	894,166$	36,497$	No	894,166$							Lien / Lien NHL
Alexander Kerfoot	Avalanche	C/LW	24	1994-08-11	No	175 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,137,500$	1,137,500$	46,429$	No								Lien / Lien NHL
Anders Nilsson	Avalanche	G	28	1990-03-19	No	232 Lbs	6 ft6	No	No	No	1	Pro & Farm	2,500,000$	2,500,000$	102,041$	No								Lien / Lien NHL
Andreas Johnsson	Avalanche	LW/RW	23	1994-11-21	No	181 Lbs	5 ft10	No	No	No	1	Pro & Farm	787,500$	787,500$	32,143$	No								Lien / Lien NHL
Ben Lovejoy	Avalanche	D	34	1984-02-20	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,666,667$	2,666,667$	108,844$	No								Lien / Lien NHL
Cam Fowler (Sur la Masse Salariale)	Avalanche	D	26	1991-12-05	No	206 Lbs	6 ft2	No	No	No	8	Pro & Farm	6,500,000$	0$	0$	Yes	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	Lien / Lien NHL
David Savard	Avalanche	D	27	1990-10-22	No	227 Lbs	6 ft2	No	No	No	3	Pro & Farm	4,250,000$	4,250,000$	173,469$	No	4,250,000$	4,250,000$						Lien / Lien NHL
Elias Lindholm	Avalanche	C/RW	23	1994-12-02	No	195 Lbs	6 ft1	No	No	No	6	Pro & Farm	4,850,000$	4,850,000$	197,959$	No	4,850,000$	4,850,000$	4,850,000$	4,850,000$	4,850,000$			Lien / Lien NHL
Jakob Silfverberg	Avalanche	RW	27	1990-10-13	No	204 Lbs	6 ft1	No	No	No	1	Pro & Farm	3,750,000$	3,750,000$	153,061$	No								Lien / Lien NHL
Jared McCann	Avalanche	C/LW	22	1996-05-31	No	185 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,250,000$	1,250,000$	51,020$	No	1,250,000$							Lien / Lien NHL
Jayson Megna	Avalanche	C	28	1990-02-01	No	195 Lbs	6 ft1	No	No	No	1	Pro & Farm	650,000$	650,000$	26,531$	No								Lien / Lien NHL
Mirco Mueller	Avalanche	D	23	1995-03-21	No	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	850,000$	850,000$	34,694$	No								Lien / Lien NHL
Ondrej Kase	Avalanche	RW	22	1995-11-08	No	186 Lbs	5 ft11	No	No	No	3	Pro & Farm	2,600,000$	2,600,000$	106,122$	No	2,600,000$	2,600,000$						Lien / Lien NHL
Oscar Fantenberg	Avalanche	D	27	1991-10-07	No	206 Lbs	6 ft0	No	No	No	1	Pro & Farm	650,000$	650,000$	26,531$	No								Lien / Lien NHL
Oskar Sundqvist	Avalanche	C	24	1994-03-23	No	209 Lbs	6 ft3	No	No	No	1	Pro & Farm	700,000$	700,000$	28,571$	No								Lien / Lien NHL
Ryan O'Reilly	Avalanche	C	27	1991-02-07	No	216 Lbs	6 ft1	No	No	No	5	Pro & Farm	7,500,000$	7,500,000$	306,122$	No	7,500,000$	7,500,000$	7,500,000$	7,500,000$				Lien / Lien NHL
Scott Laughton	Avalanche	C/LW	24	1994-05-30	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	962,500$	962,500$	39,286$	No								Lien / Lien NHL
Shea Weber	Avalanche	D	33	1985-08-14	No	229 Lbs	6 ft4	No	No	No	6	Pro & Farm	7,857,000$	7,857,000$	320,694$	No	7,857,000$	7,857,000$	7,857,000$	7,857,000$	7,857,000$			Lien / Lien NHL
Steven Stamkos	Avalanche	C	28	1990-02-07	No	194 Lbs	6 ft1	No	No	No	6	Pro & Farm	8,500,000$	8,500,000$	346,939$	No	8,500,000$	8,500,000$	8,500,000$	8,500,000$	8,500,000$			Lien / Lien NHL
Thomas Hickey	Avalanche	D	29	1989-02-08	No	183 Lbs	6 ft0	No	No	No	4	Pro & Farm	2,500,000$	2,500,000$	102,041$	No	2,500,000$	2,500,000$	2,500,000$					Lien / Lien NHL
Tuukka Rask	Avalanche	G	31	1987-03-10	No	176 Lbs	6 ft3	No	No	No	2	Pro & Farm	7,000,000$	7,000,000$	285,714$	No	7,000,000$							Lien / Lien NHL
Tyler Myers	Avalanche	D	28	1990-02-01	No	229 Lbs	6 ft8	No	No	No	1	Pro & Farm	5,500,000$	5,500,000$	224,490$	No								Lien / Lien NHL
Tyler Toffoli	Avalanche	LW/RW	26	1992-04-24	No	197 Lbs	6 ft0	No	No	No	2	Pro & Farm	4,600,000$	4,600,000$	187,755$	No	4,600,000$							Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	26.26	200 Lbs	6 ft1	2.61	3,411,101$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
78,455,333$	58,301,166$	44,557,000$	37,707,000$	35,207,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Alex DeBrincat	Ryan O'Reilly	Steven Stamkos	33	0	2	3
2	Tyler Toffoli	Elias Lindholm	Jakob Silfverberg	30	0	2	3
3	Jared McCann	Alexander Kerfoot	Andreas Johnsson	25	0	2	3
4	Scott Laughton	Oskar Sundqvist	Ondrej Kase	12	0	3	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	David Savard	Tyler Myers	30	1	2	2
2	Mirco Mueller	Thomas Hickey	30	1	2	2
3	Oscar Fantenberg	Ben Lovejoy	25	1	2	2
4	David Savard	Tyler Myers	15	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Elias Lindholm	Steven Stamkos	Tyler Toffoli	60	1	2	2
2	Andreas Johnsson	Ryan O'Reilly	Alex DeBrincat	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Myers	Thomas Hickey	60	1	2	2
2	Jakob Silfverberg	David Savard	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ryan O'Reilly	Andreas Johnsson	60	1	2	2
2	Elias Lindholm	Jakob Silfverberg	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Myers	Thomas Hickey	60	1	2	2
2	David Savard	Ben Lovejoy	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan O'Reilly	60	1	2	2	Ben Lovejoy	Tyler Myers	60	1	2	2
2	Elias Lindholm	40	1	2	2	Thomas Hickey	David Savard	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Andreas Johnsson	Elias Lindholm	60	1	2	2
2	Steven Stamkos	Alex DeBrincat	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Myers	David Savard	60	1	2	2
2	Ben Lovejoy	Thomas Hickey	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Alex DeBrincat	Steven Stamkos	Elias Lindholm	Tyler Myers	David Savard

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Alex DeBrincat	Steven Stamkos	Elias Lindholm	Tyler Myers	David Savard

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Alex DeBrincat, Andreas Johnsson, Elias Lindholm	Andreas Johnsson, Elias Lindholm	Elias Lindholm

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ben Lovejoy, David Savard, Tyler Myers	Tyler Myers	David Savard, Thomas Hickey

Tirs de Pénalité
Steven Stamkos, Ryan O'Reilly, Elias Lindholm, Jakob Silfverberg, Alex DeBrincat

Gardien
#1 : Tuukka Rask, #2 : Anders Nilsson

Lignes d'Attaque Perso. en Prol.
Alex DeBrincat, Alexander Kerfoot, Oskar Sundqvist, Scott Laughton, Elias Lindholm, Jakob Silfverberg, Jakob Silfverberg, Steven Stamkos, Jared McCann, Ondrej Kase, Andreas Johnsson

Lignes de Défense Perso. en Prol.
Ben Lovejoy, Oscar Fantenberg, Tyler Myers, David Savard, Thomas Hickey

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	Blackhawks	4	4	0	0	0	0	0	0	17	13	4	2	2	0	0	0	0	0	0	10	8	2	2	2	0	0	0	0	0	0	7	5	2	8	1.000	17	32	49	0	0	3	7	6	1	159	46	52	38	23	133	42	38	97	24	8	33.33%	19	2	89.47%	0	365	759	48.09%	357	752	47.47%	166	328	50.61%	111	77	113	34	58	30
2	Ducks	6	4	2	0	0	0	0	0	16	16	0	3	2	1	0	0	0	0	0	8	10	-2	3	2	1	0	0	0	0	0	8	6	2	8	0.667	16	27	43	0	0	8	2	5	1	166	57	43	64	2	204	56	64	138	13	1	7.69%	27	8	70.37%	0	365	759	48.09%	357	752	47.47%	166	328	50.61%	136	93	150	44	73	35
3	Flames	5	4	1	0	0	0	0	0	13	11	2	2	1	1	0	0	0	0	0	4	5	-1	3	3	0	0	0	0	0	0	9	6	3	8	0.800	13	25	38	1	0	4	6	1	2	171	52	58	45	16	135	61	47	96	29	3	10.34%	20	3	85.00%	0	365	759	48.09%	357	752	47.47%	166	328	50.61%	132	92	125	38	66	34
4	Flyers	5	2	3	0	0	0	0	0	15	14	1	2	1	1	0	0	0	0	0	8	8	0	3	1	2	0	0	0	0	0	7	6	1	4	0.400	15	27	42	0	0	7	3	5	0	150	54	57	38	1	151	48	83	112	19	2	10.53%	22	3	86.36%	0	365	759	48.09%	357	752	47.47%	166	328	50.61%	117	80	123	37	67	34
	Total	20	14	6	0	0	0	0	0	61	54	7	9	6	3	0	0	0	0	0	30	31	-1	11	8	3	0	0	0	0	0	31	23	8	28	0.700	61	111	172	1	0	22	18	17	4	646	209	210	185	42	623	207	232	443	85	14	16.47%	88	16	81.82%	0	365	759	48.09%	357	752	47.47%	166	328	50.61%	497	343	513	154	266	134
	_Since Last GM Reset	20	14	6	0	0	0	0	0	61	54	7	9	6	3	0	0	0	0	0	30	31	-1	11	8	3	0	0	0	0	0	31	23	8	28	0.700	61	111	172	1	0	22	18	17	4	646	209	210	185	42	623	207	232	443	85	14	16.47%	88	16	81.82%	0	365	759	48.09%	357	752	47.47%	166	328	50.61%	497	343	513	154	266	134
	_Vs Conference	15	12	3	0	0	0	0	0	46	40	6	7	5	2	0	0	0	0	0	22	23	-1	8	7	1	0	0	0	0	0	24	17	7	24	0.800	46	84	130	1	0	15	15	12	4	496	155	153	147	41	472	159	149	331	66	12	18.18%	66	13	80.30%	0	365	759	48.09%	357	752	47.47%	166	328	50.61%	380	263	389	116	198	100
	_Vs Division	4	4	0	0	0	0	0	0	17	13	4	2	2	0	0	0	0	0	0	10	8	2	2	2	0	0	0	0	0	0	7	5	2	8	1.000	17	32	49	0	0	3	7	6	1	159	46	52	38	23	133	42	38	97	24	8	33.33%	19	2	89.47%	0	365	759	48.09%	357	752	47.47%	166	328	50.61%	111	77	113	34	58	30

			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
20	28	W1	61	111	172	646	623	207	232	443	1	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	14	6	0	0	0	0	61	54

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	6	3	0	0	0	0	30	31

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	8	3	0	0	0	0	31	23

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	2	2	1	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
85	14	16.47%	88	16	81.82%	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
209	210	185	42	22	18	17	4

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
365	759	48.09%	357	752	47.47%	166	328	50.61%

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
497	343	513	154	266	134

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	Lien
2 - 2020-04-06	5	Avalanche	1	Ducks	3	L		Sommaire du Match
4 - 2020-04-08	13	Avalanche	5	Ducks	2	W		Sommaire du Match
6 - 2020-04-10	21	Ducks	6	Avalanche	1	L		Sommaire du Match
8 - 2020-04-12	29	Ducks	3	Avalanche	4	W		Sommaire du Match
10 - 2020-04-14	37	Avalanche	2	Ducks	1	W	X	Sommaire du Match
12 - 2020-04-16	45	Ducks	1	Avalanche	3	W		Sommaire du Match
16 - 2020-04-20	59	Avalanche	2	Flames	1	W		Sommaire du Match
18 - 2020-04-22	63	Avalanche	4	Flames	3	W	X	Sommaire du Match
20 - 2020-04-24	67	Flames	3	Avalanche	1	L		Sommaire du Match
22 - 2020-04-26	71	Flames	2	Avalanche	3	W		Sommaire du Match
24 - 2020-04-28	75	Avalanche	3	Flames	2	W	X	Sommaire du Match
30 - 2020-05-04	86	Avalanche	3	Blackhawks	2	W	X	Sommaire du Match
32 - 2020-05-06	88	Avalanche	4	Blackhawks	3	W		Sommaire du Match
34 - 2020-05-08	90	Blackhawks	4	Avalanche	5	W		Sommaire du Match
36 - 2020-05-10	92	Blackhawks	4	Avalanche	5	W		Sommaire du Match
43 - 2020-05-17	99	Avalanche	2	Flyers	3	L		Sommaire du Match
44 - 2020-05-18	100	Avalanche	1	Flyers	2	L	X	Sommaire du Match
45 - 2020-05-19	101	Flyers	3	Avalanche	5	W		Sommaire du Match
46 - 2020-05-20	102	Flyers	5	Avalanche	3	L		Sommaire du Match
47 - 2020-05-21	103	Avalanche	4	Flyers	1	W		Sommaire du Match
48 - 2020-05-22	104	Flyers	-	Avalanche	-
49 - 2020-05-23	105	Avalanche	-	Flyers	-

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	25	200
Assistance	54,000	45,000	18,000	36,000	9,000
Attendance PCT	100.00%	100.00%	100.00%	100.00%	100.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
32	18000 - 100.00%	647,700$	5,829,300$	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
0$	71,955,333$	71,955,333$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0$	22	1

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	2	0$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	53,201,586$	53,201,586$

Cap Salarial de la Saison Éstimé	Cap Salarial Disponible	Cap Salarial Maximum	Au dessus du Plafond Salarial Minimum
0$	79,500,000$	79,500,000$	-58,800,000$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Alex DeBrincat	AGE:20	PO:0	OV:71
Tyler Toffoli	AGE:26	PO:0	OV:70
Andreas Johnsson	AGE:23	PO:0	OV:69
Jared McCann	AGE:22	PO:0	OV:68
Alexander Kerfoot	AGE:24	PO:0	OV:67
Scott Laughton	AGE:24	PO:0	OV:67
Boo Nieves	AGE:24	PO:0	OV:63
Jonny Brodzinski	AGE:25	PO:0	OV:60

Steven Stamkos	AGE:28	PO:0	OV:76
Elias Lindholm	AGE:23	PO:0	OV:73
Ryan O'Reilly	AGE:27	PO:0	OV:73
Jared McCann	AGE:22	PO:0	OV:68
Alexander Kerfoot	AGE:24	PO:0	OV:67
Oskar Sundqvist	AGE:24	PO:0	OV:67
Scott Laughton	AGE:24	PO:0	OV:67
Boo Nieves	AGE:24	PO:0	OV:63
Justin Dowling	AGE:28	PO:0	OV:62
Jayson Megna	AGE:28	PO:0	OV:62
Cooper Marody	AGE:21	PO:0	OV:61
Calvin Thurkauf	AGE:21	PO:0	OV:60
Danny O'Regan	AGE:24	PO:0	OV:60
Anthony Richard	AGE:21	PO:0	OV:59
Jim O'Brien	AGE:29	PO:0	OV:59
Jonne Tammela	AGE:21	PO:0	OV:57

Elias Lindholm	AGE:23	PO:0	OV:73
Alex DeBrincat	AGE:20	PO:0	OV:71
Jakob Silfverberg	AGE:27	PO:0	OV:71
Tyler Toffoli	AGE:26	PO:0	OV:70
Andreas Johnsson	AGE:23	PO:0	OV:69
Ondrej Kase	AGE:22	PO:0	OV:68
Jake Virtanen	AGE:22	PO:0	OV:66

Défense #1

Défense #2

Gardien

Shea Weber	AGE:33	PO:0	OV:75
Cam Fowler	AGE:26	PO:0	OV:70
Tyler Myers	AGE:28	PO:0	OV:70
David Savard	AGE:27	PO:0	OV:69
Ben Lovejoy	AGE:34	PO:0	OV:66
Thomas Hickey	AGE:29	PO:0	OV:66
Oscar Fantenberg	AGE:27	PO:0	OV:65

Mirco Mueller	AGE:23	PO:0	OV:65
Connor Carrick	AGE:24	PO:0	OV:64
Zach Redmond	AGE:30	PO:0	OV:64
*Erik Brannstrom	AGE:19	PO:0	OV:61
Alexandre Carrier	AGE:22	PO:0	OV:59
Dominik Masin	AGE:22	PO:0	OV:59

Tuukka Rask	AGE:31	PO:0	OV:77
Anders Nilsson	AGE:28	PO:0	OV:72
Scott Wedgewood	AGE:26	PO:0	OV:66
Kasimir Kaskisuo	AGE:25	PO:0	OV:65
Brandon Halverson	AGE:22	PO:0	OV:63

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
Arnaud Durandeau	Avalanche	7	147
Beau Bennett	Avalanche
Brendan Ranford	Avalanche
Bryan Lerg	Avalanche
Cole Guttman	Avalanche	7	167
Conor Allen	Avalanche
Daniel Gunnarsson	Avalanche	2	136
Emilio Pettersen	Avalanche	8	61
Grant Besse	Avalanche
Jacob Bryson	Avalanche	7	125
Jacob Paquette	Avalanche	7	178
Jaromir Jagr	Avalanche
Jeff Jakaitis	Avalanche
Jerome Leduc	Avalanche
Jimmy Lodge	Avalanche
Karel Vejmelka	Avalanche	5	122
Kevin Goumas	Avalanche
Kevin Poulin	Avalanche
Kirill Kabanov	Avalanche
Kirill Kaprizov	Avalanche	5	114
Liam Kirk	Avalanche	8	185
Linus Hogberg	Avalanche	6	123
Linus Weissbach	Avalanche	7	105
Mason McDonald	Avalanche	4	93
Mat Bodie	Avalanche
Matt Frattin	Avalanche
Max Gildon	Avalanche	7	74
Michael Brodzinski	Avalanche
Myles Bell	Avalanche	3	101
Nick Ebert	Avalanche
Nikita Korostelev	Avalanche	5	145
Nikita Nesterov	Avalanche
Patrick Cullity	Avalanche
Riley Stotts	Avalanche	8	123
Ronalds Kenins	Avalanche
Scott Reedy	Avalanche	7	116
Tim Soderlund	Avalanche	7	85
Zachary Stepan	Avalanche	2	54

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6
9		COL PHI	PIT OTT COL		COL	TBL PHI CGY COL
10	COL	COL PHI	COL	COL	COL	COL
11	COL	COL	COL	COL	COL	COL
12	COL	COL	COL	COL	COL	COL
13	COL	COL	COL	COL	COL	COL

[2020-04-21 8:45:18 PM] - Eagles was eliminated at round 1 of year 8.
[2020-02-25 5:49:15 PM] - TRADE : From Avalanche to Wild : Jason Dickinson (66).
[2020-02-25 5:49:15 PM] - TRADE : From Wild to Avalanche : Mirco Mueller (65).
[2020-02-24 9:57:35 PM] - TRADE : From Avalanche to Lightning : Brett Connolly (68).
[2020-02-24 9:57:35 PM] - TRADE : From Lightning to Avalanche : Y:9-RND:2-PHI.
[2019-11-03 9:26:14 PM] - TRADE : From Blue Jackets to Avalanche : Y:9-RND:2-COL.
[2019-11-03 9:26:14 PM] - TRADE : From Avalanche to Blue Jackets : Y:9-RND:1-COL.
[2019-11-02 10:16:15 PM] - TRADE : From Blue Jackets to Avalanche : Tuukka Rask (77).
[2019-11-02 10:16:15 PM] - TRADE : From Avalanche to Blue Jackets : Jeff Carter (71), Kale Clague (59), Adam Brooks (60), Mikhail Berdin (65), Y:9-RND:2-COL.
[2019-09-02 10:56:00 AM] - TRADE : From Golden Knights to Avalanche : Tyler Toffoli (70), James Reimer (74).
[2019-09-02 10:56:00 AM] - TRADE : From Avalanche to Golden Knights : Jake Gardiner (68), Cory Schneider (71), Y:9-RND:4-COL.
[2019-09-02 10:29:52 AM] - Avalanche drafts Liam Kirk as the #185 overall pick in the Entry Draft of year 8.
[2019-07-28 4:04:50 PM] - Avalanche drafts Riley Stotts as the #123 overall pick in the Entry Draft of year 8.
[2019-06-19 9:00:30 AM] - Avalanche drafts Emilio Pettersen as the #61 overall pick in the Entry Draft of year 8.
[2019-06-06 10:51:52 PM] - Team Name Change : Rampage changed name to Eagles

[2020-05-28 9:31:32 PM] Shea Weber from Avalanche is back from Torn Left MCL Injury.
[2020-05-24 9:32:39 PM] Successfully loaded Avalanche lines done with STHS Client - 3.2.0.5
[2020-05-24 9:32:39 PM] Oscar Fantenberg of Avalanche was sent to pro.
[2020-05-23 9:05:07 PM] Game 99 - Cam Fowler from Avalanche is injured (Broken Bone (Right Foot)) and is out for 2 weeks.
[2020-05-15 7:28:17 PM] Successfully loaded Avalanche lines done with STHS Client - 3.2.0.5
[2020-05-14 8:58:31 PM] Last 7 Days Pro Star : 1 - Alex DeBrincat of Avalanche (3-2-5) / 2 - Ben Bishop of Bruins (0.911) / 3 - Steven Stamkos of Avalanche (3-3-6)
[2020-05-13 10:24:18 PM] Alex DeBrincat from Avalanche has scored a Hat Trick!
[2020-05-13 10:24:18 PM] Game 90 - Shea Weber from Avalanche is injured (Torn Left MCL) and is out for 3 weeks.
[2020-04-24 10:34:57 PM] Alexander Kerfoot from Avalanche is back from Strained Left Knee Injury.
[2020-04-24 10:34:57 PM] Game 59 - Alexander Kerfoot from Avalanche is injured (Strained Left Knee) and is out for 4 days.
[2020-04-21 8:45:18 PM] Last 7 Days Farm Star : 1 - Scott Wedgewood of Eagles (0.949) / 2 - Jake Virtanen of Eagles (2-5-7) / 3 - Adin Hill of Roadrunners (0.939)
[2020-04-21 8:45:18 PM] Last 7 Days Pro Star : 1 - Robin Lehner of Flames (0.951) / 2 - Seth Jones of Flames (3-2-5) / 3 - Tuukka Rask of Avalanche (0.949)
[2020-04-11 9:35:49 PM] Elias Lindholm from Avalanche has scored a Hat Trick!
[2020-04-11 9:35:30 PM] Successfully loaded Avalanche lines done with STHS Client - 3.2.0.5
[2020-04-09 7:51:23 PM] David Savard from Avalanche is back from Left Knee Injury.
[2020-04-09 7:51:22 PM] Game 5 - David Savard from Avalanche is injured (Left Knee) and is out for 3 days.
[2020-04-05 11:48:32 AM] Cam Fowler from Avalanche is back from Lower Body Injury.
[2020-04-02 10:31:35 PM] Successfully loaded Avalanche lines done with STHS Client - 3.2.0.5
[2020-03-31 10:44:39 PM] Last 7 Days Farm Star : 1 - Sam Bennett of Gulls (5-7-12) / 2 - Sonny Milano of Gulls (7-4-11) / 3 - Jake Virtanen of Eagles (7-1-8)
[2020-03-31 10:44:38 PM] Game 1235 - Cam Fowler from Avalanche is injured (Lower Body) and is out for 1 week.
[2020-03-30 8:32:11 PM] Successfully loaded Avalanche lines done with STHS Client - 3.2.0.5
[2020-03-26 8:55:20 PM] Ryan O'Reilly from Avalanche is back from Sprained Right Knee Injury.
[2020-03-25 7:51:25 PM] Jake Virtanen from Eagles has scored a Hat Trick!
[2020-03-25 7:49:28 PM] Successfully loaded Avalanche lines done with STHS Client - 3.2.0.5
[2020-03-23 8:27:00 PM] Game 1172 - Ryan O'Reilly from Avalanche is injured (Sprained Right Knee) and is out for 1 week.
[2020-03-19 9:32:38 PM] Successfully loaded Avalanche lines done with STHS Client - 3.2.0.5
[2020-03-14 7:44:17 PM] Tyler Toffoli from Avalanche is back from Bruised Right Arm Injury.
[2020-03-13 9:26:55 PM] Erik Brannstrom from Eagles has scored a Hat Trick!
[2020-03-11 7:33:32 PM] Successfully loaded Avalanche lines done with STHS Client - 3.2.0.5
[2020-03-11 7:33:32 PM] Jayson Megna of Avalanche was sent to pro.
[2020-03-10 7:08:26 PM] Steven Stamkos from Avalanche is back from Exhaustion.
[2020-03-09 7:08:28 PM] Steven Stamkos from Avalanche is injured from Exhaustion.
[2020-03-09 7:08:28 PM] Game 1069 - Tyler Toffoli from Avalanche is injured (Bruised Right Arm) and is out for 1 week.

Cam Fowler est dehors pour 4 jours à cause de Broken Bone (Right Foot) Injury.

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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
Saison Régulière
2	82	32	34	0	4	3	4	5	243	238	5	41	14	15	0	4	2	3	3	127	130	-3	41	18	19	0	0	1	1	2	116	108	8	64	243	417	660	0	5	81	82	72	16	2541	833	882	788	73	2466	784	893	1566	355	75	21.13%	330	64	80.61%	3	1514	2964	51.08%	1375	2873	47.86%	613	1268	48.34%	1933	1328	2010	602	1033	514
3	82	37	25	0	6	5	4	5	228	188	40	41	23	9	0	2	2	2	3	124	80	44	41	14	16	0	4	3	2	2	104	108	-4	74	228	405	633	2	8	84	76	58	13	2206	722	761	692	61	2235	640	806	1541	302	50	16.56%	292	47	83.90%	1	1311	2710	48.38%	1268	2690	47.14%	576	1218	47.29%	2044	1434	1909	590	1032	526
4	82	45	21	0	4	0	5	7	258	203	55	41	23	11	0	2	0	2	3	127	100	27	41	22	10	0	2	0	3	4	131	103	28	90	258	465	723	2	7	110	71	68	16	2480	827	804	826	66	2255	672	429	1734	247	47	19.03%	177	37	79.10%	1	1361	2828	48.13%	1293	2625	49.26%	655	1296	50.54%	2041	1444	1892	582	1051	535
5	82	30	33	0	4	3	6	6	189	201	-12	41	15	14	0	2	2	4	4	101	95	6	41	15	19	0	2	1	2	2	88	106	-18	60	189	329	518	3	6	58	56	65	13	2438	777	824	795	79	2252	703	445	1649	250	34	13.60%	184	24	86.96%	1	1387	2860	48.50%	1282	2664	48.12%	586	1210	48.43%	2074	1459	1879	587	1049	537
6	82	42	31	0	3	3	2	1	230	206	24	41	24	12	0	2	1	1	1	119	96	23	41	18	19	0	1	2	1	0	111	110	1	84	230	418	648	2	4	78	80	67	6	2561	856	864	821	36	2458	702	600	1906	313	56	17.89%	250	44	82.40%	4	1540	2951	52.19%	1392	2829	49.20%	608	1215	50.04%	2046	1460	1894	576	1009	515
7	82	38	29	0	7	2	3	3	225	201	24	41	19	15	0	3	1	1	2	113	106	7	41	19	14	0	4	1	2	1	112	95	17	76	225	406	631	1	4	73	73	69	11	2513	800	863	810	61	2267	694	552	1854	279	51	18.28%	234	57	75.64%	4	1494	2876	51.95%	1351	2729	49.51%	619	1223	50.61%	2063	1481	1908	568	996	503
8	82	34	32	0	2	6	5	3	215	190	25	41	20	13	0	2	3	3	0	124	93	31	41	14	19	0	0	3	2	3	91	97	-6	91	215	374	589	2	5	66	86	56	9	2302	727	796	752	54	2180	618	692	1725	335	47	14.03%	310	52	83.23%	4	1419	2858	49.65%	1295	2660	48.68%	619	1200	51.58%	2046	1431	1897	597	1032	521
8	82	34	32	0	2	6	5	3	215	190	25	41	20	13	0	2	3	3	0	124	93	31	41	14	19	0	0	3	2	3	91	97	-6	91	215	374	589	2	5	66	86	56	9	2302	727	796	752	54	2180	618	692	1725	335	47	14.03%	310	52	83.23%	4	1419	2858	49.65%	1295	2660	48.68%	619	1200	51.58%	2046	1431	1897	597	1032	521
Total Saison Régulière	656	292	237	0	32	28	34	33	1803	1617	186	328	158	102	0	19	14	19	16	959	793	166	328	134	135	0	13	14	15	17	844	824	20	630	1803	3188	4991	14	44	616	610	511	93	19343	6269	6590	6236	484	18293	5431	5109	13700	2416	407	16.85%	2087	377	81.94%	22	11445	22905	49.97%	10551	21730	48.55%	4895	9830	49.80%	16296	11472	15289	4701	8236	4177
Séries
3	12	7	5	0	0	0	0	0	30	29	1	5	2	3	0	0	0	0	0	10	12	-2	7	5	2	0	0	0	0	0	20	17	3	14	30	56	86	0	0	8	8	13	1	317	103	100	113	1	376	87	134	253	50	8	16.00%	55	9	83.64%	0	164	394	41.62%	195	476	40.97%	59	158	37.34%	281	192	291	91	149	74
4	9	4	5	0	0	0	0	0	25	24	1	5	3	2	0	0	0	0	0	17	11	6	4	1	3	0	0	0	0	0	8	13	-5	8	25	44	69	0	0	13	4	8	0	259	82	80	75	22	282	75	64	194	22	6	27.27%	31	5	83.87%	0	161	306	52.61%	157	310	50.65%	75	157	47.77%	231	159	219	70	126	61
5	13	6	7	0	0	0	0	0	28	30	-2	6	2	4	0	0	0	0	0	9	11	-2	7	4	3	0	0	0	0	0	19	19	0	12	28	49	77	0	0	11	11	6	0	345	114	121	109	1	406	125	93	234	34	6	17.65%	42	4	90.48%	0	208	441	47.17%	247	490	50.41%	91	184	49.46%	311	214	308	94	162	82
6	4	0	4	0	0	0	0	0	6	11	-5	2	0	2	0	0	0	0	0	4	6	-2	2	0	2	0	0	0	0	0	2	5	-3	0	6	11	17	0	0	3	2	1	0	127	40	44	43	0	131	38	51	98	12	0	0.00%	17	2	88.24%	0	76	141	53.90%	61	145	42.07%	25	53	47.17%	97	70	96	28	45	22
7	22	13	9	0	0	0	0	0	81	77	4	10	7	3	0	0	0	0	0	37	30	7	12	6	6	0	0	0	0	0	44	47	-3	26	81	147	228	1	0	23	24	33	1	653	216	197	231	9	731	206	159	522	68	16	23.53%	74	19	74.32%	1	357	752	47.47%	377	788	47.84%	182	384	47.40%	529	371	543	156	281	140
8	20	14	6	0	0	0	0	0	61	54	7	9	6	3	0	0	0	0	0	30	31	-1	11	8	3	0	0	0	0	0	31	23	8	28	61	111	172	1	0	22	18	17	4	646	209	210	185	42	623	207	232	443	85	14	16.47%	88	16	81.82%	0	365	759	48.09%	357	752	47.47%	166	328	50.61%	497	343	513	154	266	134
Total Séries	80	44	36	0	0	0	0	0	231	225	6	37	20	17	0	0	0	0	0	107	101	6	43	24	19	0	0	0	0	0	124	124	0	88	231	418	649	2	0	80	67	78	6	2347	764	752	756	75	2549	738	733	1744	271	50	18.45%	307	55	82.08%	1	1331	2793	47.65%	1394	2961	47.08%	598	1264	47.31%	1948	1352	1973	596	1031	516