Ligue du Vieux Poele

Canucks
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Stats d'équipe en Carrière
Client Web pour Lignes

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

#	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	Âge	Contrat	Salaire
1	Miles Wood		X			97.00	79	54	72	89	72	65	92	67	36	68	62	80	25	71	72	0	62	70	0	29	1	2,750,000$
2	Luke Evangelista			X		100.00	63	41	92	81	61	66	94	79	31	74	72	60	25	56	56	0	56	70	0	22	2	797,500$
3	Sean Kuraly	X	X			99.00	90	46	81	76	78	65	84	66	77	62	68	82	25	69	72	0	61	70	0	31	2	2,500,000$
4	Sonny Milano			X		100.00	63	41	93	84	70	62	76	68	25	63	82	64	53	64	64	0	63	70	0	28	3	750,000$
5	Kiefer Sherwood			X		100.00	99	77	82	72	71	62	88	67	42	70	68	72	25	62	63	0	60	69	0	29	2	2,255,000$
6	Hendrix Lapierre (R)	X				98.00	65	41	97	77	65	59	83	68	60	72	70	64	25	50	50	0	60	68	0	22	3	863,333$
7	Dominic Toninato	X	X			100.00	82	45	87	76	72	56	70	64	73	72	58	66	25	64	65	0	64	67	0	30	2	750,000$
8	Tanner Pearson (A)		X			99.00	73	55	88	79	76	63	56	72	33	62	59	74	41	73	73	0	58	67	0	32	2	3,250,000$
9	Jiri Kulich (R)	X	X			100.00	71	64	86	73	64	73	75	65	80	57	69	63	66	44	44	0	57	66	0	20	3	918,333$
10	Zachary Sanford			X		100.00	71	43	92	77	78	57	77	66	53	66	55	67	25	67	69	0	56	65	0	30	1	1,500,000$
11	Anthony Richard			X		100.00	71	66	82	63	66	82	86	68	50	61	68	67	65	57	57	0	56	65	0	27	1	650,000$
12	Ivan Miroshnichenko (R)		X			100.00	89	45	90	78	69	62	71	66	25	65	59	59	25	45	45	0	60	65	0	20	3	950,000$
13	Ryan Suter				X	100.00	75	44	89	80	76	76	99	63	25	53	47	81	25	96	99	0	62	70	0	39	3	3,100,001$
14	Ryan Lindgren				X	100.00	80	44	86	79	70	78	87	61	25	53	48	86	25	67	69	0	64	70	0	26	3	3,000,000$
15	Carson Soucy				X	100.00	81	45	90	74	79	72	76	65	25	49	48	87	25	68	70	0	58	69	0	30	3	3,250,000$
16	Philip Broberg				X	100.00	61	42	99	83	76	57	74	64	25	52	47	76	25	55	56	0	58	66	0	23	1	863,333$
17	Joel Hanley				X	100.00	76	74	80	72	69	63	56	63	25	49	47	74	25	63	64	0	60	64	0	33	2	787,500$
18	Logan Mailloux (R)				X	100.00	77	82	66	64	82	70	73	60	25	52	53	65	50	44	44	0	61	62	0	21	3	875,000$
Rayé
1	Corey Perry			X		100.00	71	90	76	76	80	65	85	77	25	65	73	61	61	95	99	0	41	70	0	39	3	1,255,000$
2	Brock McGinn			X		100.00	80	44	94	76	68	58	67	65	38	58	56	77	75	72	75	0	49	65	0	30	3	955,000$
3	Aatu Raty (R)	X				100.00	76	70	91	60	70	80	85	64	80	62	62	65	59	45	45	0	51	64	0	21	2	836,667$
4	Steven Lorentz	X	X	X		100.00	83	45	91	73	73	52	76	63	58	55	56	71	25	64	65	0	45	63	0	28	3	1,050,000$
5	Ruslan Iskhakov	X				100.00	63	53	87	64	53	81	86	63	79	61	62	58	59	44	44	0	49	62	0	24	3	855,000$
6	Lucas Condotta	X	X			100.00	78	76	81	63	76	79	86	51	64	47	51	63	48	44	44	0	46	57	0	27	1	650,000$
7	Spencer Stastney				X	100.00	57	40	93	75	65	68	81	62	25	49	50	84	25	46	46	0	48	65	0	24	3	1,255,000$
8	Calle Rosen				X	100.00	76	69	92	70	69	73	78	55	25	51	40	67	38	61	62	0	44	62	0	30	2	762,500$
9	Steven Santini				X	100.00	80	76	89	65	76	74	81	49	25	40	41	66	39	55	56	0	37	59	0	29	1	800,000$
10	Robert Hagg				X	100.00	76	76	77	75	76	59	63	50	25	39	41	67	39	65	65	0	44	59	0	29	3	775,000$

	MOYENNE D'ÉQUIPE					99.75	75	57	87	74	71	67	79	64	42	58	58	70	38	61	62	0	55	66

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Arturs Silovs (R)	100.00	56	56	70	83	57	62	53	60	60	59	30	44	44	0	64	59	0
2	Jesper Wallstedt (R)	100.00	57	52	65	83	59	59	54	61	59	58	30	44	44	0	62	58	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	57	54	68	83	58	61	54	61	60	59	30	44	44	0	63	59

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Brett McLean	40	40	40	40	40	40	40	CAN	40	2	1,000,000$

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	P/20	PSG	PSS	S1	S2	S3
1	Luke Evangelista	Comets (Van)	RW	8	4	9	13	-1	2	0	18	24	10	24	16.67%	2	138	17.36	3	2	5	12	42	0	0	0	1	33.33%	12	1.87	1	1	1	1	0
2	Miles Wood	Comets (Van)	LW	8	2	8	10	0	2	11	21	23	6	17	8.70%	2	172	21.55	1	2	3	8	41	0	32	1	0	27.78%	18	1.16	0	1	0	2	0
3	Hendrix Lapierre	Comets (Van)	C	8	4	6	10	5	6	7	20	17	6	8	23.53%	2	155	19.48	0	2	2	2	37	0	18	0	0	39.71%	204	1.28	0	0	1	0	1
4	Tanner Pearson	Comets (Van)	LW	8	2	7	9	5	2	20	14	17	4	19	11.76%	5	154	19.36	0	1	1	7	37	0	18	0	0	33.33%	3	1.16	0	0	1	0	1
5	Sean Kuraly	Comets (Van)	C/LW	8	3	5	8	-1	6	13	28	29	4	23	10.34%	3	169	21.22	0	2	2	7	42	2	28	0	0	61.29%	248	0.94	0	1	0	0	1
6	Sonny Milano	Comets (Van)	RW	8	2	5	7	5	4	4	9	24	5	14	8.33%	0	134	16.77	0	2	2	4	37	0	0	0	1	16.67%	12	1.04	1	1	0	0	1
7	Ryan Lindgren	Comets (Van)	D	8	1	5	6	-3	6	18	8	13	6	8	7.69%	7	187	23.38	1	3	4	10	43	0	26	0	0	0.00%	0	0.64	0	0	0	0	1
8	Carson Soucy	Comets (Van)	D	8	4	2	6	1	10	19	8	22	2	6	18.18%	9	167	20.95	2	0	2	11	36	1	23	0	0	0.00%	0	0.72	0	0	1	1	0
9	Joel Hanley	Comets (Van)	D	7	2	4	6	2	8	7	5	6	0	1	33.33%	5	110	15.81	0	0	0	0	1	0	7	0	0	0.00%	0	1.08	0	0	0	0	0
10	Dominic Toninato	Comets (Van)	C/LW	8	1	4	5	0	0	2	10	5	2	3	20.00%	0	60	7.55	0	1	1	0	2	0	7	1	0	55.17%	58	1.66	0	0	0	0	0
11	Ryan Suter	Comets (Van)	D	8	2	3	5	-3	4	13	11	14	2	9	14.29%	10	187	23.41	2	1	3	12	43	0	27	0	0	0.00%	0	0.53	0	0	0	0	0
12	Kiefer Sherwood	Comets (Van)	RW	8	3	1	4	-2	6	18	11	15	3	16	20.00%	2	109	13.68	0	0	0	0	3	0	9	0	1	66.67%	18	0.73	0	1	1	0	0
13	Anthony Richard	Comets (Van)	RW	8	2	1	3	0	2	4	1	4	1	3	50.00%	0	51	6.42	0	0	0	0	2	0	0	2	0	50.00%	2	1.17	0	0	0	1	1
14	Ivan Miroshnichenko	Comets (Van)	LW	8	0	3	3	-2	0	5	3	12	1	4	0.00%	0	95	11.94	0	0	0	0	0	0	0	0	0	40.00%	5	0.63	0	0	0	0	0
15	Jiri Kulich	Comets (Van)	C/LW	8	2	1	3	-2	0	0	13	14	1	3	14.29%	0	97	12.13	0	0	0	0	0	0	1	0	0	58.82%	102	0.62	1	1	0	0	0
16	Philip Broberg	Comets (Van)	D	8	1	2	3	1	0	1	5	12	6	10	8.33%	9	171	21.41	0	0	0	7	35	0	28	0	0	0.00%	0	0.35	0	0	0	1	0
17	Zachary Sanford	Comets (Van)	RW	8	0	1	1	0	0	2	6	5	1	6	0.00%	0	49	6.16	0	0	0	0	0	0	0	0	0	66.67%	3	0.41	0	0	0	0	0
18	Logan Mailloux	Comets (Van)	D	7	1	0	1	2	8	19	4	2	1	0	50.00%	4	105	15.00	0	0	0	0	1	0	1	1	0	0.00%	0	0.19	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				142	36	67	103	7	66	163	195	258	61	174	13.95%	60	2317	16.32	9	16	25	80	408	3	232	5	3	51.68%	685	0.89	3	6	5	6	6

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Arturs Silovs	Comets (Van)	8	6	2	0	0.873	3.60	484	0	0	29	228	0	0	0	0.667	6	8	0	0	0	0
Stats d'équipe Total ou en Moyenne			8	6	2	0	0.873	3.60	484	0	0	29	228	0	0	0	0.667	6	8	0	0	0	0

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

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	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Aatu Raty	Comets (Van)	C	21	2002-11-14	Yes	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	836,667$	836,667$	0$	0$	No	836,667$		Lien
Anthony Richard	Comets (Van)	RW	27	1996-12-20	No	185 Lbs	5 ft10	No	No	No	1	Pro & Farm	650,000$	650,000$	0$	0$	No			Lien
Arturs Silovs	Comets (Van)	G	23	2001-03-21	Yes	202 Lbs	6 ft4	No	No	No	2	Pro & Farm	786,111$	786,111$	0$	0$	No	786,111$		Lien
Brock McGinn	Comets (Van)	RW	30	1994-02-01	No	189 Lbs	6 ft0	No	No	No	3	Pro & Farm	955,000$	955,000$	0$	0$	No	955,000$	955,000$	Lien / Lien NHL
Calle Rosen	Comets (Van)	D	30	1994-02-01	No	185 Lbs	6 ft1	No	No	No	2	Pro & Farm	762,500$	762,500$	0$	0$	No	762,500$		Lien / Lien NHL
Carson Soucy	Comets (Van)	D	30	1994-07-26	No	209 Lbs	6 ft5	No	No	No	3	Pro & Farm	3,250,000$	3,250,000$	0$	0$	No	3,250,000$	3,250,000$	Lien / Lien NHL
Corey Perry	Comets (Van)	RW	39	1985-05-16	No	205 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,255,000$	1,255,000$	0$	0$	No	1,255,000$	1,255,000$	Lien / Lien NHL
Dominic Toninato	Comets (Van)	C/LW	30	1994-03-09	No	191 Lbs	6 ft2	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$		Lien / Lien NHL
Hendrix Lapierre	Comets (Van)	C	22	2002-09-02	Yes	178 Lbs	6 ft0	No	No	No	3	Pro & Farm	863,333$	863,333$	0$	0$	No	863,333$	863,333$	Lien
Ivan Miroshnichenko	Comets (Van)	LW	20	2004-02-04	Yes	185 Lbs	6 ft1	No	No	No	3	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	950,000$	Lien
Jesper Wallstedt	Comets (Van)	G	21	2002-11-14	Yes	213 Lbs	6 ft3	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$	Lien
Jiri Kulich	Comets (Van)	C/LW	20	2004-04-14	Yes	178 Lbs	5 ft11	No	No	No	3	Pro & Farm	918,333$	918,333$	0$	0$	No	918,333$	918,333$	Lien
Joel Hanley	Comets (Van)	D	33	1991-06-08	No	189 Lbs	5 ft11	No	No	No	2	Pro & Farm	787,500$	787,500$	0$	0$	No	787,500$		Lien / Lien NHL
Kiefer Sherwood	Comets (Van)	RW	29	1995-03-31	No	194 Lbs	6 ft0	No	No	No	2	Pro & Farm	2,255,000$	2,255,000$	0$	0$	No	2,255,000$		Lien / Lien NHL
Logan Mailloux	Comets (Van)	D	21	2003-04-15	Yes	220 Lbs	6 ft3	No	No	No	3	Pro & Farm	875,000$	875,000$	0$	0$	No	875,000$	875,000$	Lien
Lucas Condotta	Comets (Van)	C/LW	27	1997-06-11	No	209 Lbs	6 ft2	No	No	No	1	Pro & Farm	650,000$	650,000$	0$	0$	No			Lien
Luke Evangelista	Comets (Van)	RW	22	2002-02-21	No	165 Lbs	5 ft11	No	No	No	2	Pro & Farm	797,500$	797,500$	0$	0$	No	797,500$		Lien
Miles Wood	Comets (Van)	LW	29	1995-09-13	No	194 Lbs	6 ft2	No	No	No	1	Pro & Farm	2,750,000$	2,750,000$	0$	0$	No			Lien
Philip Broberg	Comets (Van)	D	23	2001-06-25	No	200 Lbs	6 ft3	No	No	No	1	Pro & Farm	863,333$	863,333$	0$	0$	No			Lien
Robert Hagg	Comets (Van)	D	29	1995-02-08	No	205 Lbs	6 ft2	No	No	No	3	Pro & Farm	775,000$	775,000$	0$	0$	No	775,000$	775,000$	Lien / Lien NHL
Ruslan Iskhakov	Comets (Van)	C	24	2000-07-22	No	152 Lbs	5 ft7	No	No	No	3	Pro & Farm	855,000$	855,000$	0$	0$	No	855,000$	855,000$	Lien
Ryan Lindgren	Comets (Van)	D	26	1998-02-11	No	191 Lbs	6 ft0	No	No	No	3	Pro & Farm	3,000,000$	3,000,000$	0$	0$	No	3,000,000$	3,000,000$	Lien / Lien NHL
Ryan Suter	Comets (Van)	D	39	1985-01-21	No	205 Lbs	6 ft2	No	No	No	3	Pro & Farm	3,100,001$	3,100,001$	0$	0$	No	3,100,001$	3,100,001$	Lien / Lien NHL
Sean Kuraly	Comets (Van)	C/LW	31	1993-01-20	No	213 Lbs	6 ft2	No	No	No	2	Pro & Farm	2,500,000$	2,500,000$	0$	0$	No	2,500,000$		Lien / Lien NHL
Sonny Milano	Comets (Van)	RW	28	1996-05-12	No	194 Lbs	6 ft0	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Spencer Stastney	Comets (Van)	D	24	2000-04-01	No	180 Lbs	5 ft10	No	No	No	3	Pro & Farm	1,255,000$	1,255,000$	0$	0$	No	1,255,000$	1,255,000$	Lien
Steven Lorentz	Comets (Van)	C/LW/RW	28	1996-04-13	No	191 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,050,000$	1,050,000$	0$	0$	No	1,050,000$	1,050,000$	Lien / Lien NHL
Steven Santini	Comets (Van)	D	29	1995-03-07	No	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	0$	No			Lien
Tanner Pearson	Comets (Van)	LW	32	1992-08-10	No	207 Lbs	6 ft1	No	No	No	2	Pro & Farm	3,250,000$	3,250,000$	0$	0$	No	3,250,000$		Lien / Lien NHL
Zachary Sanford	Comets (Van)	RW	30	1994-09-11	No	207 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,500,000$	1,500,000$	0$	0$	No			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
30	27.23	194 Lbs	6 ft1	2.30	1,357,176$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Miles Wood	Sean Kuraly	Luke Evangelista	35	1	2	2
2	Tanner Pearson	Hendrix Lapierre	Sonny Milano	35	1	2	2
3	Ivan Miroshnichenko	Jiri Kulich	Kiefer Sherwood	25	1	2	2
4	Anthony Richard	Dominic Toninato	Zachary Sanford	5	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Ryan Lindgren	35	1	2	2
2	Carson Soucy	Philip Broberg	35	1	2	2
3	Joel Hanley	Logan Mailloux	25	1	2	2
4	Ryan Suter	Ryan Lindgren	5	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Miles Wood	Sean Kuraly	Luke Evangelista	60	1	2	2
2	Tanner Pearson	Hendrix Lapierre	Sonny Milano	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Ryan Lindgren	60	1	2	2
2	Carson Soucy	Philip Broberg	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sean Kuraly	Miles Wood	60	1	2	2
2	Hendrix Lapierre	Tanner Pearson	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Ryan Lindgren	60	1	2	2
2	Carson Soucy	Philip Broberg	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Sean Kuraly	60	1	2	2	Ryan Suter	Ryan Lindgren	60	1	2	2
2	Hendrix Lapierre	40	1	2	2	Carson Soucy	Philip Broberg	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sean Kuraly	Miles Wood	60	1	2	2
2	Hendrix Lapierre	Tanner Pearson	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Ryan Lindgren	60	1	2	2
2	Carson Soucy	Philip Broberg	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Miles Wood	Sean Kuraly	Luke Evangelista	Ryan Suter	Ryan Lindgren

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Miles Wood	Sean Kuraly	Luke Evangelista	Ryan Suter	Ryan Lindgren

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Kiefer Sherwood, Hendrix Lapierre, Dominic Toninato	Kiefer Sherwood, Hendrix Lapierre	Kiefer Sherwood

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Philip Broberg, Joel Hanley, Logan Mailloux	Philip Broberg	Philip Broberg, Joel Hanley

Tirs de Pénalité
Luke Evangelista, Sonny Milano, Sean Kuraly, Miles Wood, Kiefer Sherwood

Gardien
#1 : Arturs Silovs, #2 : Jesper Wallstedt

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

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

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Bulls	2	1	1	0	0	0	0	0	9	8	1	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	9	17	26	0	0	11	13	12	3	75	77	78	101	8	49	12	12	36	16	3	18.75%	6	1	83.33%	0	145	274	52.92%	133	262	50.76%	76	149	51.01%	193	130	181	63	109	56
2	Lumberjacks	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	4	2	2	2	0.500	6	12	18	0	0	11	13	12	3	65	77	78	101	8	56	19	12	43	12	1	8.33%	6	0	100.00%	0	145	274	52.92%	133	262	50.76%	76	149	51.01%	193	130	181	63	109	56
3	Moose	2	1	0	0	0	0	1	0	11	9	2	1	1	0	0	0	0	0	0	6	5	1	1	0	0	0	0	0	1	0	5	4	1	4	1.000	11	20	31	0	0	11	13	12	3	60	77	78	101	8	57	14	16	43	12	1	8.33%	7	1	85.71%	0	145	274	52.92%	133	262	50.76%	76	149	51.01%	193	130	181	63	109	56
4	Oildogs	2	2	0	0	0	0	0	0	11	6	5	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	2	2	4	1.000	11	18	29	0	0	11	13	12	3	58	77	78	101	8	66	16	26	43	12	4	33.33%	13	2	84.62%	0	145	274	52.92%	133	262	50.76%	76	149	51.01%	193	130	181	63	109	56
	Total	8	5	2	0	0	0	1	0	37	29	8	4	3	1	0	0	0	0	0	20	15	5	4	2	1	0	0	0	1	0	17	14	3	12	0.750	37	67	104	0	0	11	13	12	3	258	77	78	101	8	228	61	66	165	52	9	17.31%	32	4	87.50%	0	145	274	52.92%	133	262	50.76%	76	149	51.01%	193	130	181	63	109	56
	_Since Last GM Reset	8	5	2	0	0	0	1	0	37	29	8	4	3	1	0	0	0	0	0	20	15	5	4	2	1	0	0	0	1	0	17	14	3	12	0.750	37	67	104	0	0	11	13	12	3	258	77	78	101	8	228	61	66	165	52	9	17.31%	32	4	87.50%	0	145	274	52.92%	133	262	50.76%	76	149	51.01%	193	130	181	63	109	56
	_Vs Conference	8	5	2	0	0	0	1	0	37	29	8	4	3	1	0	0	0	0	0	20	15	5	4	2	1	0	0	0	1	0	17	14	3	12	0.750	37	67	104	0	0	11	13	12	3	258	77	78	101	8	228	61	66	165	52	9	17.31%	32	4	87.50%	0	145	274	52.92%	133	262	50.76%	76	149	51.01%	193	130	181	63	109	56
	_Vs Division	4	5	2	0	0	0	1	0	20	14	6	2	3	1	0	0	0	0	0	12	6	6	2	2	1	0	0	0	1	0	8	8	0	12	1.500	20	35	55	0	0	11	13	12	3	133	77	78	101	8	115	28	38	79	28	7	25.00%	19	3	84.21%	0	145	274	52.92%	133	262	50.76%	76	149	51.01%	193	130	181	63	109	56

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
8	12	W1	37	67	104	258	228	61	66	165	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	2	0	0	1	0	37	29

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	20	15

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	1	0	0	1	0	17	14

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	2	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
52	9	17.31%	32	4	87.50%	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
77	78	101	8	11	13	12	3

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
145	274	52.92%	133	262	50.76%	76	149	51.01%

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
193	130	181	63	109	56

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	Lien
2 - 2024-09-18	7	Comets	4	Bulls	6	L			Sommaire du Match
3 - 2024-09-19	16	Oildogs	4	Comets	7	W			Sommaire du Match
5 - 2024-09-21	27	Bulls	2	Comets	5	W			Sommaire du Match
6 - 2024-09-22	35	Comets	4	Oildogs	2	W			Sommaire du Match
7 - 2024-09-23	42	Comets	4	Lumberjacks	2	W			Sommaire du Match
9 - 2024-09-25	53	Moose	5	Comets	6	W			Sommaire du Match
12 - 2024-09-28	66	Lumberjacks	4	Comets	2	L			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
15 - 2024-10-01	76	Comets	5	Moose	4	W	X	X	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	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	4,071,527$	3,310,527$	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$	1	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
Séries
2021	11	6	5	0	0	0	0	0	39	46	-7	5	2	3	0	0	0	0	0	18	23	-5	6	4	2	0	0	0	0	0	21	23	-2	12	39	67	106	1	0	11	13	14	1	401	130	134	126	11	404	123	110	291	55	13	23.64%	45	7	84.44%	0	190	410	46.34%	174	418	41.63%	71	185	38.38%	247	166	285	89	141	67
Total Séries	11	6	5	0	0	0	0	0	39	46	-7	5	2	3	0	0	0	0	0	18	23	-5	6	4	2	0	0	0	0	0	21	23	-2	12	39	67	106	1	0	11	13	14	1	401	130	134	126	11	404	123	110	291	55	13	23.64%	45	7	84.44%	0	190	410	46.34%	174	418	41.63%	71	185	38.38%	247	166	285	89	141	67