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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	Âge	Contrat	Salaire
1	Cal Clutterbuck			X		99.00	98	47	88	77	76	61	83	65	36	62	59	83	45	88	92	0	45	68	0	36	2	1,255,099$
2	Aliaksei Protas	X	X	X		98.00	63	43	96	76	85	65	89	66	41	74	58	79	25	61	61	0	45	68	0	23	1	789,167$
3	Alexey Toropchenko		X	X		99.00	85	45	88	82	71	63	95	65	25	59	70	75	25	60	61	0	48	68	0	25	3	1,150,110$
4	Kevin Stenlund	X		X		99.00	75	44	78	75	78	63	94	64	86	55	66	86	25	63	64	0	45	67	0	28	1	655,552$
5	Cole Guttman	X				100.00	63	62	91	66	60	63	77	79	64	62	68	69	25	47	47	0	45	66	0	25	3	725,255$
6	Devin Shore	X		X		100.00	78	44	93	79	75	50	73	62	52	62	57	61	75	69	70	0	45	65	0	30	3	650,058$
7	Matt Martin			X		100.00	91	97	79	73	84	54	86	65	36	57	58	68	25	83	87	0	45	65	0	35	2	1,500,000$
8	David Gustafsson	X	X			99.00	71	43	99	68	73	54	63	65	74	60	58	75	25	57	58	0	45	64	0	24	1	775,000$
9	Mathieu Olivier			X		100.00	95	99	65	65	80	59	77	65	33	61	59	72	25	61	62	0	45	64	0	27	2	1,255,030$
10	Benoit-Olivier Groulx	X				100.00	87	45	85	69	73	62	71	64	65	54	55	78	25	51	51	0	45	63	0	24	1	822,500$
11	Mikhail Maltsev	X	X			100.00	78	74	88	64	74	52	50	62	78	62	57	67	54	50	50	0	45	62	0	26	3	656,057$
12	Alec Martinez				X	99.00	65	42	96	77	75	77	83	67	25	58	49	83	25	78	85	0	45	70	0	37	3	676,050$
13	Kyle Burroughs				X	99.00	97	71	73	69	72	77	78	66	25	47	48	84	25	61	61	0	45	68	0	29	1	666,666$
14	Parker Wotherspoon (R)				X	99.00	85	89	78	67	66	72	67	64	25	54	47	88	25	49	49	0	45	67	0	27	3	657,010$
15	Marcus Bjork (R)				X	100.00	79	76	85	65	76	74	80	55	25	49	45	65	43	47	47	0	45	61	0	26	3	1,175,005$
16	Jordan Gross (R)				X	100.00	71	66	83	65	66	67	71	55	25	49	45	61	43	46	46	0	45	59	0	29	1	666,666$
17	Vladislav Kolyachonok				X	100.00	74	69	87	77	69	68	73	52	25	34	54	62	51	47	47	0	45	59	0	23	1	789,167$
Rayé
1	Cam Atkinson		X	X		99.00	65	51	88	78	60	72	72	80	41	66	71	71	25	52	52	0	46	69	0	35	1	5,875,000$
2	Justin Brazeau			X		100.00	88	47	96	65	84	58	83	71	35	60	77	66	25	45	45	0	48	67	0	26	3	2,266,005$
3	Nils aman	X				100.00	69	42	93	75	67	56	89	61	55	59	58	71	25	57	57	0	48	63	0	24	3	675,855$
4	Sam Malinski				X	100.00	67	42	91	75	67	64	71	67	25	64	54	74	25	46	46	0	48	68	0	26	3	826,555$
5	Nikita Okhotiuk				X	100.00	93	46	74	74	71	68	62	63	25	51	47	80	25	52	52	0	48	67	0	24	3	683,005$

	MOYENNE D'ÉQUIPE					99.55	79	58	86	72	73	64	77	65	42	57	57	74	32	58	59	0	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	Daniil Tarasov	100.00	73	56	55	63	79	66	69	72	78	73	75	48	48	0	45	68	0
2	Darcy Kuemper	99.00	62	75	74	89	65	58	69	61	65	62	60	68	70	0	45	66	0
Rayé
1	Antti Raanta	100.00	61	55	57	71	65	56	69	60	65	61	60	65	67	0	42	61	0

	MOYENNE D'ÉQUIPE	99.67	65	62	62	74	70	60	69	64	69	65	65	60	62	0	44	65

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Charlie Huddy	67	74	70	70	92	85	53	CAN	63	2	500,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	P/20	S1	S2	S3
1	Alexey Toropchenko	Bulls (Los)	LW/RW	7	2	5	7	-1	4	21	8	24	8	13	8.33%	2	141	20.19	0	2	2	4	25	0	17	0	45.45%	11	0.99	1	0	0
2	David Gustafsson	Bulls (Los)	C/LW	8	2	3	5	-3	0	7	9	15	2	9	13.33%	3	136	17.09	0	0	0	3	24	0	1	0	80.00%	5	0.73	0	1	0
3	Cam Atkinson	Bulls (Los)	LW/RW	6	1	3	4	2	0	2	14	19	7	22	5.26%	0	142	23.79	0	1	1	5	23	0	24	1	34.72%	72	0.56	0	0	0
4	Cole Guttman	Bulls (Los)	C	8	3	1	4	-6	0	0	20	22	6	17	13.64%	4	107	13.42	0	0	0	0	2	0	3	0	45.05%	111	0.75	0	0	0
5	Aliaksei Protas	Bulls (Los)	C/LW/RW	8	3	1	4	0	2	0	13	22	5	12	13.64%	4	157	19.74	2	0	2	10	30	0	23	0	41.45%	193	0.51	0	0	0
6	Matt Martin	Bulls (Los)	RW	8	2	2	4	2	2	8	3	7	1	2	28.57%	1	56	7.00	0	0	0	0	0	0	0	0	50.00%	4	1.43	1	0	0
7	Alec Martinez	Bulls (Los)	D	8	0	3	3	-3	0	0	10	13	7	4	0.00%	11	191	23.95	0	0	0	7	31	0	32	0	0.00%	0	0.31	0	0	0
8	Kevin Stenlund	Bulls (Los)	C/RW	8	2	1	3	-2	4	7	22	22	5	20	9.09%	2	140	17.62	1	0	1	8	26	0	4	0	58.38%	173	0.43	0	0	0
9	Vladislav Kolyachonok	Bulls (Los)	D	8	0	3	3	-4	6	18	3	5	3	0	0.00%	7	121	15.20	0	0	0	0	0	0	14	0	0.00%	0	0.49	0	0	0
10	Cal Clutterbuck	Bulls (Los)	RW	8	2	0	2	1	8	34	16	9	4	19	22.22%	1	161	20.15	0	0	0	3	30	0	28	0	25.00%	20	0.25	0	0	1
11	Devin Shore	Bulls (Los)	C/RW	8	0	2	2	-6	2	12	13	13	4	6	0.00%	0	113	14.14	0	0	0	0	4	0	9	0	30.00%	10	0.35	0	0	0
12	Mikhail Maltsev	Bulls (Los)	C/LW	8	1	1	2	-6	8	14	11	9	3	6	11.11%	2	97	12.17	0	0	0	0	0	0	0	0	100.00%	5	0.41	0	0	0
13	Kyle Burroughs	Bulls (Los)	D	8	0	2	2	-3	8	32	8	8	5	5	0.00%	14	187	23.44	0	0	0	3	31	1	29	0	0.00%	0	0.21	0	0	0
14	Benoit-Olivier Groulx	Bulls (Los)	C	8	1	1	2	1	0	2	9	2	1	4	50.00%	0	41	5.23	0	0	0	0	0	0	0	0	47.46%	59	0.96	0	0	1
15	Marcus Bjork	Bulls (Los)	D	8	0	1	1	1	12	11	3	5	0	5	0.00%	9	172	21.60	0	0	0	2	26	0	24	0	0.00%	0	0.12	0	0	0
16	Parker Wotherspoon	Bulls (Los)	D	8	0	1	1	1	18	22	6	13	1	5	0.00%	16	170	21.33	0	0	0	9	25	0	21	0	0.00%	0	0.12	0	0	0
17	Tyler Motte	Kings	C/LW/RW	1	0	0	0	0	0	2	1	2	1	0	0.00%	0	15	15.83	0	0	0	0	1	0	1	0	0.00%	1	0.00	0	0	0
18	Jordan Gross	Bulls (Los)	D	8	0	0	0	-4	6	20	4	1	0	0	0.00%	5	114	14.37	0	0	0	0	1	0	4	0	0.00%	0	0.00	0	0	0
19	Mathieu Olivier	Bulls (Los)	RW	8	0	0	0	-1	6	4	2	2	0	1	0.00%	0	26	3.27	0	0	0	1	2	0	3	0	12.50%	8	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				142	19	30	49	-31	86	216	175	213	63	150	8.92%	81	2297	16.18	3	3	6	55	288	1	245	1	45.98%	672	0.43	2	1	2

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	PCT	GAA	MP	GA	SA	ST	BG
1	Daniil Tarasov	Bulls (Los)	4	1	3	0.892	3.77	239	15	139	4	4
2	Darcy Kuemper	Bulls (Los)	4	0	4	0.860	4.52	239	18	129	4	4
Stats d'équipe Total ou en Moyenne			8	1	7	0.877	4.13	479	33	268	8	8

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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	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Alec Martinez	Bulls (Los)	D	37	1987-07-25	No	209 Lbs	6 ft1	No	No	No	3	Pro & Farm	676,050$	676,050$	0$	0$	No	676,050$	676,050$	Lien / Lien NHL
Alexey Toropchenko	Bulls (Los)	LW/RW	25	1999-06-25	No	187 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,150,110$	1,150,110$	0$	0$	No	1,150,110$	1,150,110$	Lien
Aliaksei Protas	Bulls (Los)	C/LW/RW	23	2001-01-06	No	224 Lbs	6 ft6	No	No	No	1	Pro & Farm	789,167$	789,167$	0$	0$	No			Lien
Antti Raanta	Bulls (Los)	G	35	1989-05-11	No	194 Lbs	6 ft0	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	0$	0$	No			Lien / Lien NHL
Benoit-Olivier Groulx	Bulls (Los)	C	24	2000-02-05	No	198 Lbs	6 ft2	No	No	No	1	Pro & Farm	822,500$	822,500$	0$	0$	No			Lien
Cal Clutterbuck	Bulls (Los)	RW	36	1987-11-17	No	216 Lbs	5 ft11	No	No	No	2	Pro & Farm	1,255,099$	1,255,099$	0$	0$	No	1,255,099$		Lien / Lien NHL
Cam Atkinson	Bulls (Los)	LW/RW	35	1989-06-05	No	174 Lbs	5 ft8	No	No	No	1	Pro & Farm	5,875,000$	5,875,000$	0$	0$	No			Lien
Cole Guttman	Bulls (Los)	C	25	1999-06-04	No	163 Lbs	5 ft10	No	No	No	3	Pro & Farm	725,255$	725,255$	0$	0$	No	725,255$	725,255$	Lien
Daniil Tarasov	Bulls (Los)	G	25	1999-03-27	No	154 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,050,000$	1,050,000$	0$	0$	No			Lien
Darcy Kuemper	Bulls (Los)	G	34	1990-05-04	No	216 Lbs	6 ft5	No	No	No	3	Pro & Farm	5,250,000$	5,250,000$	0$	0$	No	5,250,000$	5,250,000$	Lien / Lien NHL
David Gustafsson	Bulls (Los)	C/LW	24	2000-04-11	No	196 Lbs	6 ft2	No	No	No	1	Pro & Farm	775,000$	775,000$	0$	0$	No			Lien / Lien NHL
Devin Shore	Bulls (Los)	C/RW	30	1994-07-19	No	205 Lbs	6 ft1	No	No	No	3	Pro & Farm	650,058$	650,058$	0$	0$	No	650,058$	650,058$	Lien / Lien NHL
Jordan Gross	Bulls (Los)	D	29	1995-05-09	Yes	185 Lbs	5 ft10	No	No	No	1	Pro & Farm	666,666$	666,666$	0$	0$	No			Lien / Lien NHL
Justin Brazeau	Bulls (Los)	RW	26	1998-02-02	No	220 Lbs	6 ft5	No	No	No	3	Pro & Farm	2,266,005$	2,266,005$	0$	0$	No	2,266,005$	2,266,005$	Lien
Kevin Stenlund	Bulls (Los)	C/RW	28	1996-09-20	No	209 Lbs	6 ft4	No	No	No	1	Pro & Farm	655,552$	655,552$	0$	0$	No			Lien / Lien NHL
Kyle Burroughs	Bulls (Los)	D	29	1995-07-12	No	198 Lbs	6 ft0	No	No	No	1	Pro & Farm	666,666$	666,666$	0$	0$	No			Lien / Lien NHL
Marcus Bjork	Bulls (Los)	D	26	1997-11-24	Yes	203 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,175,005$	1,175,005$	0$	0$	No	1,175,005$	1,175,005$	Lien
Mathieu Olivier	Bulls (Los)	RW	27	1997-02-11	No	209 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,255,030$	1,255,030$	0$	0$	No	1,255,030$		Lien / Lien NHL
Matt Martin	Bulls (Los)	RW	35	1989-05-08	No	220 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,500,000$	1,500,000$	0$	0$	No	1,500,000$		Lien / Lien NHL
Mikhail Maltsev	Bulls (Los)	C/LW	26	1998-03-12	No	198 Lbs	6 ft3	No	No	No	3	Pro & Farm	656,057$	656,057$	0$	0$	No	656,057$	656,057$	Lien / Lien NHL
Nikita Okhotiuk	Bulls (Los)	D	24	2000-04-12	No	198 Lbs	6 ft0	No	No	No	3	Pro & Farm	683,005$	683,005$	0$	0$	No	683,005$	683,005$	Lien
Nils aman	Bulls (Los)	C	24	2000-07-02	No	178 Lbs	6 ft2	No	No	No	3	Pro & Farm	675,855$	675,855$	0$	0$	No	675,855$	675,855$	Lien
Parker Wotherspoon	Bulls (Los)	D	27	1997-08-24	Yes	172 Lbs	6 ft0	No	No	No	3	Pro & Farm	657,010$	657,010$	0$	0$	No	657,010$	657,010$	Lien
Sam Malinski	Bulls (Los)	D	26	1998-07-27	No	189 Lbs	5 ft11	No	No	No	3	Pro & Farm	826,555$	826,555$	0$	0$	No	826,555$	826,555$	Lien
Vladislav Kolyachonok	Bulls (Los)	D	23	2001-05-26	No	189 Lbs	6 ft1	No	No	No	1	Pro & Farm	789,167$	789,167$	0$	0$	No			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
25	28.12	196 Lbs	6 ft1	2.08	1,339,632$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1		Aliaksei Protas	Cal Clutterbuck	35	1	2	2
2	David Gustafsson	Kevin Stenlund	Alexey Toropchenko	35	1	2	2
3	Mikhail Maltsev	Cole Guttman	Devin Shore	25	1	2	2
4		Benoit-Olivier Groulx	Matt Martin	5	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alec Martinez	Kyle Burroughs	35	1	2	2
2	Parker Wotherspoon	Marcus Bjork	35	1	2	2
3	Jordan Gross	Vladislav Kolyachonok	25	1	2	2
4	Alec Martinez	Kyle Burroughs	5	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1		Aliaksei Protas	Cal Clutterbuck	60	1	2	2
2	David Gustafsson	Kevin Stenlund	Alexey Toropchenko	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alec Martinez	Kyle Burroughs	60	1	2	2
2	Parker Wotherspoon	Marcus Bjork	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Cal Clutterbuck	60	1	2	2
2	Aliaksei Protas	Alexey Toropchenko	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alec Martinez	Kyle Burroughs	60	1	2	2
2	Parker Wotherspoon	Marcus Bjork	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2	Alec Martinez	Kyle Burroughs	60	1	2	2
2	Cal Clutterbuck	40	1	2	2	Parker Wotherspoon	Marcus Bjork	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Cal Clutterbuck	60	1	2	2
2	Aliaksei Protas	Alexey Toropchenko	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alec Martinez	Kyle Burroughs	60	1	2	2
2	Parker Wotherspoon	Marcus Bjork	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
	Aliaksei Protas	Cal Clutterbuck	Alec Martinez	Kyle Burroughs

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
	Aliaksei Protas	Cal Clutterbuck	Alec Martinez	Kyle Burroughs

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Mathieu Olivier, Cole Guttman, Devin Shore	Mathieu Olivier, Cole Guttman	Devin Shore

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jordan Gross, Vladislav Kolyachonok, Parker Wotherspoon	Jordan Gross	Vladislav Kolyachonok, Parker Wotherspoon

Tirs de Pénalité
, Cal Clutterbuck, Aliaksei Protas, Alexey Toropchenko, Kevin Stenlund

Gardien
#1 : Daniil Tarasov, #2 : Darcy Kuemper

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	Comets	2	1	1	0	0	0	0	0	8	9	-1	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	8	12	20	0	0	8	8	3	0	49	82	71	60	0	75	21	32	54	6	1	16.67%	16	3	81.25%	0	129	269	47.96%	113	274	41.24%	71	144	49.31%	175	112	197	63	106	51
2	Lumberjacks	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	3	4	7	0	0	8	8	3	0	45	82	71	60	0	70	21	12	58	5	1	20.00%	5	2	60.00%	0	129	269	47.96%	113	274	41.24%	71	144	49.31%	175	112	197	63	106	51
3	Moose	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	4	7	11	0	0	8	8	3	0	73	82	71	60	0	50	20	16	45	15	1	6.67%	7	2	71.43%	0	129	269	47.96%	113	274	41.24%	71	144	49.31%	175	112	197	63	106	51
4	Oildogs	2	0	2	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	4	7	11	0	0	8	8	3	0	46	82	71	60	0	73	19	26	59	8	0	0.00%	13	4	69.23%	0	129	269	47.96%	113	274	41.24%	71	144	49.31%	175	112	197	63	106	51
	Total	8	1	7	0	0	0	0	0	19	33	-14	4	1	3	0	0	0	0	0	9	16	-7	4	0	4	0	0	0	0	0	10	17	-7	2	0.125	19	30	49	0	0	8	8	3	0	213	82	71	60	0	268	81	86	216	34	3	8.82%	41	11	73.17%	0	129	269	47.96%	113	274	41.24%	71	144	49.31%	175	112	197	63	106	51
	_Since Last GM Reset	8	1	7	0	0	0	0	0	19	33	-14	4	1	3	0	0	0	0	0	9	16	-7	4	0	4	0	0	0	0	0	10	17	-7	2	0.125	19	30	49	0	0	8	8	3	0	213	82	71	60	0	268	81	86	216	34	3	8.82%	41	11	73.17%	0	129	269	47.96%	113	274	41.24%	71	144	49.31%	175	112	197	63	106	51
	_Vs Conference	8	1	7	0	0	0	0	0	19	33	-14	4	1	3	0	0	0	0	0	9	16	-7	4	0	4	0	0	0	0	0	10	17	-7	2	0.125	19	30	49	0	0	8	8	3	0	213	82	71	60	0	268	81	86	216	34	3	8.82%	41	11	73.17%	0	129	269	47.96%	113	274	41.24%	71	144	49.31%	175	112	197	63	106	51
	_Vs Division	4	1	7	0	0	0	0	0	12	19	-7	2	1	3	0	0	0	0	0	7	10	-3	2	0	4	0	0	0	0	0	5	9	-4	2	0.250	12	19	31	0	0	8	8	3	0	95	82	71	60	0	148	40	58	113	14	1	7.14%	29	7	75.86%	0	129	269	47.96%	113	274	41.24%	71	144	49.31%	175	112	197	63	106	51

			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	2	L7	19	30	49	213	268	81	86	216	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	1	7	0	0	0	0	19	33

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	9	16

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	10	17

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	7	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
34	3	8.82%	41	11	73.17%	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
82	71	60	0	8	8	3	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
129	269	47.96%	113	274	41.24%	71	144	49.31%

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
175	112	197	63	106	51

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	Lien
2 - 2024-09-18	7	Comets	4	Bulls	6	W	Sommaire du Match
4 - 2024-09-20	18	Bulls	3	Moose	4	L	Sommaire du Match
5 - 2024-09-21	27	Bulls	2	Comets	5	L	Sommaire du Match
7 - 2024-09-23	37	Oildogs	6	Bulls	1	L	Sommaire du Match
9 - 2024-09-25	51	Lumberjacks	3	Bulls	1	L	Sommaire du Match
11 - 2024-09-27	62	Moose	3	Bulls	1	L	Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
14 - 2024-09-30	72	Bulls	2	Lumberjacks	4	L	Sommaire du Match
16 - 2024-10-02	80	Bulls	3	Oildogs	4	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	50	20
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$	3,349,083$	3,603,332$	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	6	2	4	0	0	0	0	0	14	19	-5	3	1	2	0	0	0	0	0	8	11	-3	3	1	2	0	0	0	0	0	6	8	-2	4	14	22	36	0	0	6	2	4	2	180	55	60	59	6	269	66	83	162	15	2	13.33%	36	6	83.33%	0	91	209	43.54%	126	282	44.68%	31	82	37.80%	128	82	176	50	79	37
Total Séries	6	2	4	0	0	0	0	0	14	19	-5	3	1	2	0	0	0	0	0	8	11	-3	3	1	2	0	0	0	0	0	6	8	-2	4	14	22	36	0	0	6	2	4	2	180	55	60	59	6	269	66	83	162	15	2	13.33%	36	6	83.33%	0	91	209	43.54%	126	282	44.68%	31	82	37.80%	128	82	176	50	79	37