Ligue Canadienne de Hockey Simulé

Ducks
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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	Elias Pettersson (R)	X				100.00	62	35	79	81	76	89	84	80	79	78	77	79	71	53	56	88	70	73	0
2	Phillip Danault (R)	X				100.00	69	41	74	75	77	88	94	78	90	79	72	82	61	70	58	76	70	73	0
3	Travis Konecny (R)		X			100.00	64	41	73	79	65	80	97	81	60	77	78	65	56	75	56	78	69	71	0
4	Cory Emmerton (R)	X				100.00	33	28	99	65	73	73	81	91	89	71	74	80	64	84	79	37	68	71	0
5	Kaspars Daugavins			X		100.00	77	66	67	57	77	68	80	86	75	80	68	71	62	86	81	26	60	70	0
6	Matt Nieto (R)			X		100.00	60	42	85	72	71	76	89	72	63	67	71	78	63	75	61	67	63	68	0
7	Jakub Vrana (R)		X			100.00	62	38	72	73	74	81	95	72	64	70	72	72	66	57	52	84	64	68	0
8	Jeremy Williams			X		100.00	13	1	99	63	73	55	57	76	35	65	88	77	83	99	99	54	53	67	0
9	Chris Thorburn			X		100.00	99	99	31	56	82	94	99	46	49	48	44	87	54	99	98	57	29	64	0
10	Brandon McMillan	X				100.00	71	29	91	65	73	49	52	69	62	81	60	61	58	81	77	46	43	64	0
11	Kalle Kossila (R)		X			100.00	55	42	74	67	68	69	94	66	67	66	63	61	50	67	53	39	60	63	0
12	Nikita Soshnikov (R)		X			100.00	53	41	78	71	71	77	67	65	62	61	60	68	61	65	61	45	56	63	0
13	Keaton Ellerby (R)				X	100.00	99	54	64	60	82	65	74	70	49	59	53	82	57	85	84	49	33	70	0
14	Marcus Pettersson (R)				X	100.00	70	47	68	68	79	80	95	68	30	72	61	69	54	66	51	75	69	68	0
15	Connor Carrick (R)				X	100.00	62	44	77	69	73	75	69	76	30	70	77	69	56	72	56	52	61	67	0
16	Anthony DeAngelo (R)				X	100.00	66	50	64	72	68	83	74	71	30	77	63	67	55	63	57	81	61	66	0
17	Ian McCoshen (R)				X	100.00	72	40	84	62	78	75	65	67	30	61	74	77	51	68	54	75	58	66	0
18	Jaycob Megna (R)				X	100.00	68	35	73	64	97	61	64	64	30	57	56	78	52	57	51	42	33	65	0
19	Filip Hronek (R)				X	100.00	63	35	73	71	68	71	90	70	30	68	62	64	56	52	56	71	31	64	0
20	Cody Goloubef (R)				X	100.00	71	52	57	66	73	64	64	70	30	56	55	71	50	74	63	45	24	64	0
Rayé
1	Justin Bailey (R)			X		100.00	62	35	67	68	89	53	55	67	50	63	62	66	53	63	53	51	27	61	0
2	A.J. Greer (R)		X			100.00	60	35	62	69	85	54	57	69	53	64	65	66	55	51	50	75	24	61	0
3	Tyler Graovac (R)	X				100.00	59	37	80	65	79	57	87	58	74	55	56	62	59	66	68	44	25	60	0
4	Antti Suomela (R)	X				100.00	54	35	72	67	70	60	63	67	70	59	59	60	55	51	50	42	25	59	0
5	Kristian Vesalainen (R)		X			100.00	57	35	72	65	85	54	52	65	50	56	56	57	51	50	50	83	24	57	0
6	Jordan Schmaltz (R)				X	100.00	53	35	72	60	78	57	60	60	30	63	58	63	52	62	51	77	25	58	0
7	Jake Bean (R)				X	100.00	51	35	67	69	75	51	51	69	30	57	57	54	50	57	50	85	25	57	0
8	Robbie Russo (R)				X	100.00	41	23	91	67	72	44	55	46	23	45	44	75	50	63	53	70	25	57	0

	MOYENNE D'ÉQUIPE					100.00	62	40	74	67	76	68	74	69	51	65	64	70	57	68	62	61	46	65

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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	Viktor Fasth	100.00	72	80	72	75	71	97	97	97	97	80	91	99	99	1	62	83	0
2	Richard Bachman (R)	100.00	71	58	95	67	70	76	79	84	83	72	76	82	81	58	63	73	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	72	69	84	71	71	87	88	91	90	76	84	91	90	30	63	78

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Glen Gulutzan	62	77	69	54	76	70	63	CAN	48	3	600,000$

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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	GA	TA	P/20	PSS	FT	S1	S2	S3
1	Travis Konecny	Ducks (ANA)	LW	6	3	6	9	3	11	5	10	8	21	13	22	14.29%	2	114	19.10	1	1	2	4	21	1	9	1	0	50.00%	4	5	0	1.57	0	1	1	0	0
2	Elias Pettersson	Ducks (ANA)	C	6	3	3	6	3	0	0	10	15	24	8	16	12.50%	2	127	21.20	0	2	2	4	21	2	18	0	0	45.03%	151	10	5	0.94	0	0	0	1	0
3	Matt Nieto	Ducks (ANA)	RW	6	2	2	4	-5	0	0	11	10	19	3	9	10.53%	0	104	17.47	0	0	0	0	15	0	0	0	0	33.33%	3	4	1	0.76	0	0	0	0	0
4	Cory Emmerton	Ducks (ANA)	C	6	2	2	4	3	0	0	2	11	19	4	15	10.53%	0	80	13.37	0	0	0	0	0	1	9	0	2	53.06%	49	5	1	1.00	0	0	0	1	0
5	Jeremy Williams	Ducks (ANA)	RW	6	2	2	4	3	0	0	0	6	16	8	11	12.50%	2	74	12.36	0	0	0	0	0	0	0	0	0	66.67%	3	1	0	1.08	0	0	0	0	1
6	Kaspars Daugavins	Ducks (ANA)	RW	6	3	1	4	3	8	0	17	5	10	2	6	30.00%	5	105	17.52	1	0	1	3	21	0	0	1	0	50.00%	12	2	1	0.76	0	0	1	0	0
7	Jakub Vrana	Ducks (ANA)	LW	6	0	4	4	-5	4	0	18	6	17	8	9	0.00%	2	104	17.45	0	1	1	2	15	0	0	0	0	28.57%	7	3	2	0.76	0	0	0	0	0
8	Phillip Danault	Ducks (ANA)	C	6	2	1	3	-5	4	0	15	21	18	5	17	11.11%	3	120	20.06	1	0	1	1	15	1	17	0	0	50.00%	110	7	2	0.50	0	0	0	0	0
9	Ian McCoshen	Ducks (ANA)	D	6	0	3	3	4	0	0	9	11	2	3	3	0.00%	2	89	14.98	0	0	0	0	0	0	0	0	0	0.00%	0	0	2	0.67	1	0	0	0	0
10	Chris Thorburn	Ducks (ANA)	RW	1	0	1	1	0	2	0	2	2	0	0	0	0.00%	0	8	8.20	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	2.44	0	0	0	0	0
11	Marcus Pettersson	Ducks (ANA)	D	6	0	1	1	-1	4	0	11	5	8	3	1	0.00%	5	143	23.89	0	1	1	1	21	2	17	0	0	0.00%	0	3	4	0.14	0	0	0	0	0
12	Keaton Ellerby	Ducks (ANA)	D	6	0	1	1	-1	8	0	15	14	5	4	2	0.00%	13	142	23.68	0	0	0	1	21	0	17	0	0	0.00%	0	0	6	0.14	0	0	0	0	0
13	Kalle Kossila	Ducks (ANA)	LW	6	0	1	1	3	0	0	7	1	3	0	4	0.00%	2	75	12.60	0	0	0	0	0	0	7	0	0	33.33%	6	2	2	0.26	0	0	0	0	0
14	Connor Carrick	Ducks (ANA)	D	6	0	1	1	-2	0	0	6	8	9	1	2	0.00%	4	127	21.19	0	0	0	0	15	0	11	0	0	0.00%	0	0	3	0.16	0	0	0	0	0
15	Anthony DeAngelo	Ducks (ANA)	D	6	0	1	1	-2	8	0	12	9	3	1	0	0.00%	10	124	20.70	0	0	0	0	15	0	9	0	0	0.00%	0	2	1	0.16	0	0	0	0	0
16	Filip Hronek	Ducks (ANA)	D	6	0	0	0	4	2	0	8	2	3	0	0	0.00%	4	97	16.21	0	0	0	0	0	0	7	0	0	0.00%	0	3	0	0.00	0	0	0	0	0
17	Brandon McMillan	Ducks (ANA)	C	6	0	0	0	0	0	0	7	4	2	0	1	0.00%	1	45	7.66	0	0	0	0	0	0	2	0	0	50.00%	16	1	1	0.00	0	0	0	0	0
18	Justin Bailey	Ducks (ANA)	RW	5	0	0	0	0	0	0	7	1	3	2	3	0.00%	0	35	7.00	0	0	0	0	0	0	0	0	0	0.00%	0	1	1	0.00	0	0	0	0	0
19	Nikita Soshnikov	Ducks (ANA)	LW	6	0	0	0	0	0	0	4	3	4	2	0	0.00%	2	49	8.22	0	0	0	0	0	0	0	0	0	0.00%	0	1	0	0.00	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				108	17	30	47	5	51	5	171	142	186	67	121	9.14%	59	1769	16.38	3	5	8	16	187	7	130	2	2	47.65%	361	50	32	0.53	1	1	2	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	OTL	PCT	GAA	MP	GA	SA	SAR	ST	BG
1	Viktor Fasth	Ducks (ANA)	6	2	2	2	0.865	3.71	340	21	155	60	6	0
2	Richard Bachman	Ducks (ANA)	1	0	0	0	1.000	0.00	19	0	9	5	0	6
Stats d'équipe Total ou en Moyenne			7	2	2	2	0.872	3.50	360	21	164	65	6	6

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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
A.J. Greer	Ducks (ANA)	LW	23	1996-12-14 05:26:22	Yes	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	741,667$	0$	0$	No
Anthony DeAngelo	Ducks (ANA)	D	24	1995-10-24 05:28:36	Yes	180 Lbs	5 ft11	No	No	No	1	Pro & Farm	863,333$	0$	0$	No
Antti Suomela	Ducks (ANA)	C	26	1994-03-17 04:05:06	Yes	180 Lbs	6 ft0	No	No	No	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$
Brandon McMillan	Ducks (ANA)	C	30	1990-03-22 05:11:13	No	198 Lbs	5 ft11	No	No	No	1	Pro & Farm	575,000$	0$	0$	No
Chris Thorburn	Ducks (ANA)	RW	37	1983-06-03 23:11:13	No	235 Lbs	6 ft3	No	No	No	1	Pro & Farm	800,000$	0$	0$	No
Cody Goloubef	Ducks (ANA)	D	30	1989-11-30 11:11:13	Yes	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	575,000$	0$	0$	No
Connor Carrick	Ducks (ANA)	D	26	1994-04-13 07:33:19	Yes	192 Lbs	5 ft11	No	No	No	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$
Cory Emmerton	Ducks (ANA)	C	32	1988-06-01 23:11:13	Yes	198 Lbs	6 ft0	No	No	No	2	Pro & Farm	900,000$	0$	0$	No	900,000$
Elias Pettersson	Ducks (ANA)	C	21	1998-11-12 09:10:05	Yes	176 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$
Filip Hronek	Ducks (ANA)	D	22	1997-11-02 09:04:15	Yes	170 Lbs	6 ft0	No	No	No	3	Pro & Farm	714,166$	0$	0$	No	714,166$	714,166$
Ian McCoshen	Ducks (ANA)	D	24	1995-08-05 05:30:04	Yes	217 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	0$	0$	No
Jake Bean	Ducks (ANA)	D	21	1998-06-09 09:01:27	Yes	186 Lbs	6 ft1	No	No	No	3	Pro & Farm	863,333$	0$	0$	No	863,333$	863,333$
Jakub Vrana	Ducks (ANA)	LW	24	1996-02-28 05:33:25	Yes	197 Lbs	6 ft0	No	No	No	1	Pro & Farm	863,333$	0$	0$	No
Jaycob Megna	Ducks (ANA)	D	27	1992-12-10 13:13:17	Yes	221 Lbs	6 ft6	No	No	No	1	Pro & Farm	650,000$	0$	0$	No
Jeremy Williams	Ducks (ANA)	RW	36	1984-01-26 05:11:13	No	198 Lbs	5 ft11	No	No	No	3	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$
Jordan Schmaltz	Ducks (ANA)	D	26	1993-10-08 05:35:31	Yes	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	0$	0$	No
Justin Bailey	Ducks (ANA)	RW	24	1995-07-01 17:55:47	Yes	214 Lbs	6 ft4	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$
Kalle Kossila	Ducks (ANA)	LW	27	1993-04-14 05:57:50	Yes	185 Lbs	5 ft10	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$
Kaspars Daugavins	Ducks (ANA)	RW	32	1988-05-18 05:11:13	No	222 Lbs	5 ft11	No	No	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$
Keaton Ellerby	Ducks (ANA)	D	31	1988-11-05 23:11:13	Yes	228 Lbs	6 ft5	No	No	No	3	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$	1,250,000$
Kristian Vesalainen	Ducks (ANA)	LW	21	1999-06-01 09:07:20	Yes	207 Lbs	6 ft3	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$
Marcus Pettersson	Ducks (ANA)	D	24	1996-05-08 06:03:21	Yes	177 Lbs	6 ft3	No	No	No	2	Pro & Farm	894,167$	0$	0$	No	894,167$
Matt Nieto	Ducks (ANA)	RW	27	1992-11-05 05:11:13	Yes	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	600,000$	0$	0$	No
Nikita Soshnikov	Ducks (ANA)	LW	26	1993-10-14 07:27:33	Yes	187 Lbs	5 ft11	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$
Phillip Danault	Ducks (ANA)	C	27	1993-02-24 11:11:13	Yes	198 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$
Richard Bachman	Ducks (ANA)	G	32	1987-07-25 23:11:14	Yes	183 Lbs	5 ft10	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$
Robbie Russo	Ducks (ANA)	D	27	1993-02-15 05:37:48	Yes	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	575,000$	0$	0$	No
Travis Konecny	Ducks (ANA)	LW	23	1997-03-11 08:19:19	Yes	175 Lbs	5 ft10	No	No	No	1	Pro & Farm	894,167$	0$	0$	No
Tyler Graovac	Ducks (ANA)	C	27	1993-04-26 20:00:54	Yes	208 Lbs	6 ft5	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$
Viktor Fasth	Ducks (ANA)	G	37	1982-08-08 17:11:14	No	193 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,850,000$	0$	0$	No	1,850,000$	1,850,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
30	27.13	197 Lbs	6 ft1	2.00	816,972$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Travis Konecny	Elias Pettersson	Kaspars Daugavins	40	1	2	2
2	Jakub Vrana	Phillip Danault	Matt Nieto	30	1	2	2
3	Kalle Kossila	Cory Emmerton	Jeremy Williams	20	1	2	2
4	Nikita Soshnikov	Brandon McMillan	Chris Thorburn	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Connor Carrick	Ian McCoshen	40	1	2	2
2	Anthony DeAngelo	Jaycob Megna	30	1	2	2
3	Filip Hronek	Cody Goloubef	20	1	2	2
4	Connor Carrick	Ian McCoshen	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Travis Konecny	Elias Pettersson	Kaspars Daugavins	60	1	2	2
2	Jakub Vrana	Phillip Danault	Matt Nieto	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Connor Carrick	Ian McCoshen	60	1	2	2
2	Anthony DeAngelo	Jaycob Megna	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Elias Pettersson	Phillip Danault	60	1	2	2
2	Cory Emmerton	Travis Konecny	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Connor Carrick	Ian McCoshen	60	1	2	2
2	Anthony DeAngelo	Jaycob Megna	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Elias Pettersson	60	1	2	2	Connor Carrick	Ian McCoshen	60	1	2	2
2	Phillip Danault	40	1	2	2	Anthony DeAngelo	Jaycob Megna	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Elias Pettersson	Phillip Danault	60	1	2	2
2	Cory Emmerton	Travis Konecny	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Connor Carrick	Ian McCoshen	60	1	2	2
2	Anthony DeAngelo	Jaycob Megna	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Travis Konecny	Elias Pettersson	Kaspars Daugavins	Connor Carrick	Ian McCoshen

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Travis Konecny	Elias Pettersson	Kaspars Daugavins	Connor Carrick	Ian McCoshen

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jeremy Williams, Chris Thorburn, Brandon McMillan	Jeremy Williams, Chris Thorburn	Brandon McMillan

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Filip Hronek, Cody Goloubef, Anthony DeAngelo	Filip Hronek	Cody Goloubef, Anthony DeAngelo

Tirs de Pénalité
Elias Pettersson, Phillip Danault, Cory Emmerton, Travis Konecny, Kaspars Daugavins

Gardien
#1 : Viktor Fasth, #2 : Richard Bachman

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
	Total	6	2	4	0	0	0	0	0	17	21	-4	3	1	2	0	0	0	0	0	8	9	-1	3	1	2	0	0	0	0	0	9	12	-3	4	0.333	17	30	47	0	0	6	9	2	0	186	59	62	64	1	164	59	51	171	22	3	13.64%	24	8	66.67%	0	81	156	51.92%	59	125	47.20%	32	80	40.00%	129	75	126	56	105	49
2	Wild	6	2	4	0	0	0	0	0	17	21	-4	3	1	2	0	0	0	0	0	8	9	-1	3	1	2	0	0	0	0	0	9	12	-3	4	0.333	17	30	47	0	0	6	9	2	0	186	59	62	64	1	164	59	51	171	22	3	13.64%	24	8	66.67%	0	81	156	51.92%	59	125	47.20%	32	80	40.00%	129	75	126	56	105	49
	_Since Last GM Reset	6	2	4	0	0	0	0	0	17	21	-4	3	1	2	0	0	0	0	0	8	9	-1	3	1	2	0	0	0	0	0	9	12	-3	4	0.333	17	30	47	0	0	6	9	2	0	186	59	62	64	1	164	59	51	171	22	3	13.64%	24	8	66.67%	0	81	156	51.92%	59	125	47.20%	32	80	40.00%	129	75	126	56	105	49
	_Vs Conference	6	2	4	0	0	0	0	0	17	21	-4	3	1	2	0	0	0	0	0	8	9	-1	3	1	2	0	0	0	0	0	9	12	-3	4	0.333	17	30	47	0	0	6	9	2	0	186	59	62	64	1	164	59	51	171	22	3	13.64%	24	8	66.67%	0	81	156	51.92%	59	125	47.20%	32	80	40.00%	129	75	126	56	105	49

			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
6	4	L1	17	30	47	186	164	59	51	171	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	4	0	0	0	0	17	21

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	8	9

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	9	12

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	2	0	2	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
22	3	13.64%	24	8	66.67%	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
59	62	64	1	6	9	2	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
81	156	51.92%	59	125	47.20%	32	80	40.00%

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
129	75	126	56	105	49

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	RI	Lien
2 - 2019-10-07	5	Ducks	2	Wild	5	L		R2	Sommaire du Match
4 - 2019-10-09	13	Ducks	3	Wild	4	L	X		Sommaire du Match
6 - 2019-10-11	21	Wild	3	Ducks	2	L	X	R2	Sommaire du Match
8 - 2019-10-13	29	Wild	2	Ducks	4	W			Sommaire du Match
10 - 2019-10-15	37	Ducks	4	Wild	3	W		R2	Sommaire du Match
12 - 2019-10-17	45	Wild	4	Ducks	2	L			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	25
Assistance	5,980	3,000
Assistance PCT	99.67%	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
38	2993 - 99.78%	104,243$	312,730$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	2,450,917$	1,548,417$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0	0

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

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
14	6	2	4	0	0	0	0	0	17	21	-4	3	1	2	0	0	0	0	0	8	9	-1	3	1	2	0	0	0	0	0	9	12	-3	4	17	30	47	0	0	6	9	2	0	186	59	62	64	1	164	59	51	171	22	3	13.64%	24	8	66.67%	0	81	156	51.92%	59	125	47.20%	32	80	40.00%	129	75	126	56	105	49
Total Séries	6	2	4	0	0	0	0	0	17	21	-4	3	1	2	0	0	0	0	0	8	9	-1	3	1	2	0	0	0	0	0	9	12	-3	4	17	30	47	0	0	6	9	2	0	186	59	62	64	1	164	59	51	171	22	3	13.64%	24	8	66.67%	0	81	156	51.92%	59	125	47.20%	32	80	40.00%	129	75	126	56	105	49