Ligue du Vieux Poele

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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	Joseph Veleno	X				100.00	79	54	90	82	71	66	98	70	76	65	68	72	25	64	64	0	57	70	0	24	3	825,000$
2	Adam Gaudette	X		X		100.00	68	63	78	77	63	79	82	70	80	59	73	67	69	63	63	0	64	69	0	28	1	775,000$
3	Curtis Lazar	X		X		100.00	90	60	82	80	76	62	77	64	65	70	59	76	25	72	74	0	63	69	0	29	3	1,000,000$
4	Michael McCarron	X		X		100.00	85	99	62	69	91	63	76	66	87	62	70	79	25	63	64	0	59	69	0	29	3	2,550,000$
5	Zachary Bolduc (R)		X			100.00	65	41	91	76	65	62	74	69	44	63	72	69	25	46	46	0	59	67	0	21	3	863,333$
6	Tyson Jost	X				100.00	75	43	92	82	67	57	87	64	58	57	58	70	75	69	72	0	64	66	0	26	1	2,000,000$
7	Michael Pezzetta			X		100.00	99	99	73	76	81	50	79	65	38	62	57	67	63	61	61	0	62	66	0	26	3	825,000$
8	Nick Cousins	X	X			100.00	84	64	74	77	67	62	91	66	51	61	59	67	55	72	75	0	61	66	0	31	2	1,100,000$
9	Denis Gurianov		X	X		100.00	71	43	99	85	76	62	61	71	25	56	57	63	25	66	67	0	59	65	0	27	2	850,000$
10	Phillip Di Giuseppe		X			100.00	83	68	80	76	71	62	76	63	34	60	59	71	25	65	66	0	50	65	0	31	3	960,000$
11	Rafael Harvey-Pinard			X		100.00	75	43	95	74	64	63	76	65	38	64	56	81	25	54	54	0	58	65	0	25	2	1,100,000$
12	Jakub Lauko			X		100.00	94	67	84	75	66	55	76	65	38	61	56	70	25	55	56	0	61	64	0	24	2	764,167$
13	Zack Ostapchuk (R)	X				100.00	78	77	80	74	77	70	74	56	70	47	61	64	58	44	44	0	57	62	0	21	3	825,000$
14	Brett Pesce				X	100.00	63	42	90	83	77	80	93	63	25	51	48	87	80	75	78	0	60	70	0	29	1	4,025,000$
15	Troy Stecher				X	100.00	78	43	83	82	66	75	85	63	25	49	47	85	25	69	70	0	57	69	0	30	3	1,700,000$
16	Joel Edmundson				X	100.00	80	56	87	78	84	70	74	63	25	48	47	82	25	71	75	0	52	68	0	31	3	2,250,000$
17	Colin Miller				X	100.00	85	45	83	79	71	67	80	63	25	49	50	71	25	72	73	0	61	67	0	31	2	1,850,000$
18	Jayden Struble				X	100.00	87	57	72	77	75	69	71	63	25	50	48	73	25	50	50	0	60	66	0	23	3	867,500$
19	Callan Foote				X	100.00	78	77	80	74	77	57	59	53	25	46	41	67	39	60	61	0	53	61	0	25	3	800,000$
Rayé
1	Maxime Lajoie				X	100.00	75	72	82	63	72	72	77	53	25	49	41	64	39	54	55	0	46	59	0	27	2	750,000$

	MOYENNE D'ÉQUIPE					100.00	80	61	83	77	73	65	78	64	44	56	56	72	39	62	63	0	58	66

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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	Magnus Hellberg	100.00	52	47	59	82	53	54	53	57	55	55	30	46	46	0	55	54	0
2	Leevi Merilainen (R)	100.00	49	41	51	68	52	51	50	54	53	52	30	44	44	0	63	51	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	51	44	55	75	53	53	52	56	54	54	30	45	45	0	59	53

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Chris Kelly	40	40	40	40	40	40	40	TUR	80	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	GT	FO%	FOT	P/20	PSG	PSS	S1	S2	S3
1	Matthew Benning	Phantom (FLO)	D	8	5	5	10	6	18	22	8	22	5	15	22.73%	7	167	20.89	0	2	2	9	23	1	29	1	0	0.00%	0	1.20	0	0	2	0	1
2	Adam Gaudette	Phantom (FLO)	C/RW	8	2	7	9	8	0	3	19	24	7	15	8.33%	1	139	17.39	1	1	2	7	23	0	0	0	0	61.45%	179	1.29	1	2	0	1	1
3	Michael McCarron	Phantom (FLO)	C/RW	8	4	3	7	7	4	18	8	24	7	16	16.67%	2	156	19.51	0	1	1	3	10	0	35	2	0	59.68%	62	0.90	0	0	0	1	2
4	Joseph Veleno	Phantom (FLO)	C	8	1	5	6	-4	8	12	13	26	1	20	3.85%	0	151	18.97	0	3	3	5	25	0	0	0	0	50.81%	185	0.79	0	0	0	0	0
5	Denis Gurianov	Phantom (FLO)	LW/RW	8	1	5	6	4	0	1	13	23	5	9	4.35%	0	108	13.51	0	0	0	0	1	0	0	0	0	50.00%	8	1.11	0	0	0	0	0
6	Colin Miller	Phantom (FLO)	D	8	2	4	6	6	4	9	4	9	4	2	22.22%	5	114	14.29	1	0	1	1	0	0	0	0	0	0.00%	0	1.05	0	0	1	0	0
7	Curtis Lazar	Phantom (FLO)	C/RW	8	2	4	6	-2	12	28	13	23	6	16	8.70%	1	154	19.31	1	2	3	4	25	1	35	0	0	57.38%	61	0.78	0	0	0	1	0
8	Michael Pezzetta	Phantom (FLO)	RW	8	3	3	6	3	10	27	10	18	3	8	16.67%	0	121	15.16	1	0	1	4	12	0	0	1	2	36.36%	11	0.99	0	0	1	0	1
9	Nick Cousins	Phantom (FLO)	C/LW	8	2	4	6	8	16	10	12	13	3	16	15.38%	3	125	15.74	0	2	2	3	22	0	0	1	0	33.33%	12	0.95	0	0	0	0	0
10	Jayden Struble	Phantom (FLO)	D	8	2	3	5	6	8	16	5	7	3	3	28.57%	3	126	15.75	0	0	0	0	0	0	17	0	0	0.00%	0	0.79	0	0	0	0	0
11	Tyson Jost	Phantom (FLO)	C	8	0	4	4	5	0	0	17	13	8	16	0.00%	2	119	15.00	0	0	0	0	0	0	9	0	0	50.86%	116	0.67	0	2	0	0	0
12	Zachary Bolduc	Phantom (FLO)	LW	8	2	2	4	-2	0	3	3	28	5	18	7.14%	0	112	14.12	2	1	3	6	25	0	2	0	0	27.27%	11	0.71	0	0	0	0	0
13	Joel Edmundson	Phantom (FLO)	D	8	1	3	4	6	2	16	9	11	5	17	9.09%	8	172	21.60	1	0	1	7	22	0	35	0	0	0.00%	0	0.46	0	0	0	1	1
14	Troy Stecher	Phantom (FLO)	D	8	2	0	2	-4	20	23	7	10	3	7	20.00%	6	166	20.87	1	0	1	6	26	0	34	0	1	0.00%	0	0.24	0	0	0	0	0
15	Brett Pesce	Phantom (FLO)	D	8	0	2	2	-4	2	7	17	21	4	11	0.00%	13	201	25.14	0	0	0	15	26	0	42	0	0	0.00%	0	0.20	0	2	0	0	0
16	Jakub Lauko	Phantom (FLO)	RW	8	0	1	1	1	4	5	1	2	0	3	0.00%	1	44	5.58	0	1	1	0	4	0	30	0	0	42.86%	7	0.45	0	0	0	0	0
17	Rafael Harvey-Pinard	Phantom (FLO)	RW	8	1	0	1	-2	0	3	9	10	2	1	10.00%	0	82	10.34	0	0	0	0	0	0	46	0	0	35.71%	14	0.24	0	0	0	0	0
18	Zack Ostapchuk	Phantom (FLO)	C	8	0	0	0	-2	4	4	3	3	0	2	0.00%	0	34	4.31	0	0	0	0	0	0	0	0	0	53.49%	43	0.00	0	0	0	0	0
19	Callan Foote	Phantom (FLO)	D	7	0	0	0	0	4	1	1	1	1	0	0.00%	1	27	3.94	0	0	0	0	0	0	5	0	0	0.00%	0	0.00	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				151	30	55	85	40	116	208	172	288	72	195	10.42%	53	2327	15.41	8	13	21	70	250	2	326	5	3	53.74%	709	0.73	1	6	4	4	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 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	Magnus Hellberg	Phantom (FLO)	8	6	1	1	0.919	2.45	489	0	0	20	248	0	0	0	0.833	6	8	0	1	0	0
Stats d'équipe Total ou en Moyenne			8	6	1	1	0.919	2.45	489	0	0	20	248	0	0	0	0.833	6	8	0	1	0	0

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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
Adam Gaudette	Phantom (FLO)	C/RW	28	1996-10-02	No	169 Lbs	6 ft1	No	No	No	1	Pro & Farm	775,000$	775,000$	0$	0$	No			Lien
Brett Pesce	Phantom (FLO)	D	29	1994-11-14	No	205 Lbs	6 ft3	No	No	No	1	Pro & Farm	4,025,000$	4,025,000$	0$	0$	No			Lien / Lien NHL
Callan Foote	Phantom (FLO)	D	25	1998-12-13	No	209 Lbs	6 ft3	No	No	No	3	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$	800,000$	Lien
Colin Miller	Phantom (FLO)	D	31	1992-10-29	No	194 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,850,000$	1,850,000$	0$	0$	No	1,850,000$		Lien / Lien NHL
Curtis Lazar	Phantom (FLO)	C/RW	29	1995-02-02	No	211 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,000,000$	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	Lien / Lien NHL
Denis Gurianov	Phantom (FLO)	LW/RW	27	1997-06-07	No	200 Lbs	6 ft3	No	No	No	2	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$		Lien / Lien NHL
Jakub Lauko	Phantom (FLO)	RW	24	2000-03-28	No	178 Lbs	6 ft0	No	No	No	2	Pro & Farm	764,167$	764,167$	0$	0$	No	764,167$		Lien
Jayden Struble	Phantom (FLO)	D	23	2001-09-08	No	205 Lbs	6 ft0	No	No	No	3	Pro & Farm	867,500$	867,500$	0$	0$	No	867,500$	867,500$	Lien
Joel Edmundson	Phantom (FLO)	D	31	1993-06-28	No	224 Lbs	6 ft5	No	No	No	3	Pro & Farm	2,250,000$	2,250,000$	0$	0$	No	2,250,000$	2,250,000$	Lien / Lien NHL
Joseph Veleno	Phantom (FLO)	C	24	2000-01-13	No	191 Lbs	6 ft1	No	No	No	3	Pro & Farm	825,000$	825,000$	0$	0$	No	825,000$	825,000$	Lien
Leevi Merilainen	Phantom (FLO)	G	22	2002-08-13	Yes	175 Lbs	6 ft2	No	No	No	2	Pro & Farm	820,000$	820,000$	0$	0$	No	820,000$		Lien
Magnus Hellberg	Phantom (FLO)	G	33	1991-04-04	No	189 Lbs	6 ft5	No	No	No	3	Pro & Farm	1,200,009$	1,200,009$	0$	0$	No	1,200,009$	1,200,009$	Lien
Maxime Lajoie	Phantom (FLO)	D	27	1997-05-11	No	196 Lbs	6 ft1	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$		Lien
Michael McCarron	Phantom (FLO)	C/RW	29	1995-03-07	No	238 Lbs	6 ft5	No	No	No	3	Pro & Farm	2,550,000$	2,550,000$	0$	0$	No	2,550,000$	2,550,000$	Lien / Lien NHL
Michael Pezzetta	Phantom (FLO)	RW	26	1998-03-13	No	218 Lbs	6 ft1	No	No	No	3	Pro & Farm	825,000$	825,000$	0$	0$	No	825,000$	825,000$	Lien / Lien NHL
Nick Cousins	Phantom (FLO)	C/LW	31	1993-07-19	No	183 Lbs	5 ft11	No	No	No	2	Pro & Farm	1,100,000$	1,100,000$	0$	0$	No	1,100,000$		Lien / Lien NHL
Phillip Di Giuseppe	Panthers	LW	31	1993-09-10	No	191 Lbs	6 ft0	No	No	No	3	Pro & Farm	960,000$	960,000$	960,000$	960,000$	No	960,000$	960,000$	Lien
Rafael Harvey-Pinard	Phantom (FLO)	RW	25	1999-01-06	No	183 Lbs	5 ft9	No	No	No	2	Pro & Farm	1,100,000$	1,100,000$	0$	0$	No	1,100,000$		Lien
Troy Stecher	Phantom (FLO)	D	30	1994-04-07	No	185 Lbs	5 ft10	No	No	No	3	Pro & Farm	1,700,000$	1,700,000$	0$	0$	No	1,700,000$	1,700,000$	Lien / Lien NHL
Tyson Jost	Phantom (FLO)	C	26	1998-03-14	No	187 Lbs	5 ft11	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	0$	0$	No			Lien / Lien NHL
Zachary Bolduc	Phantom (FLO)	LW	21	2003-02-24	Yes	174 Lbs	6 ft1	No	No	No	3	Pro & Farm	863,333$	863,333$	0$	0$	No	863,333$	863,333$	Lien
Zack Ostapchuk	Phantom (FLO)	C	21	2003-05-29	Yes	202 Lbs	6 ft4	No	No	No	3	Pro & Farm	825,000$	825,000$	0$	0$	No	825,000$	825,000$	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	26.95	196 Lbs	6 ft1	2.41	1,304,546$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Zachary Bolduc	Joseph Veleno	Curtis Lazar	32	1	2	2
2	Nick Cousins	Adam Gaudette	Michael McCarron	32	1	2	2
3	Denis Gurianov	Tyson Jost	Michael Pezzetta	31	1	2	2
4	Joseph Veleno	Zack Ostapchuk	Rafael Harvey-Pinard	5	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brett Pesce	Troy Stecher	32	1	2	2
2	Joel Edmundson	Matthew Benning	32	1	2	2
3	Colin Miller	Jayden Struble	31	1	2	2
4	Callan Foote	Brett Pesce	5	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Zachary Bolduc	Joseph Veleno	Curtis Lazar	55	1	2	2
2	Nick Cousins	Adam Gaudette	Michael Pezzetta	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brett Pesce	Troy Stecher	55	1	2	2
2	Joel Edmundson	Matthew Benning	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Curtis Lazar	Rafael Harvey-Pinard	55	1	2	2
2	Michael McCarron	Jakub Lauko	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brett Pesce	Troy Stecher	55	1	2	2
2	Joel Edmundson	Matthew Benning	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Rafael Harvey-Pinard	60	1	2	2	Brett Pesce	Troy Stecher	60	1	2	2
2	Michael McCarron	40	1	2	2	Joel Edmundson	Matthew Benning	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Joseph Veleno	Curtis Lazar	55	1	2	2
2	Adam Gaudette	Zachary Bolduc	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brett Pesce	Troy Stecher	55	1	2	2
2	Joel Edmundson	Matthew Benning	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Zachary Bolduc	Joseph Veleno	Curtis Lazar	Brett Pesce	Troy Stecher

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jakub Lauko	Michael McCarron	Rafael Harvey-Pinard	Brett Pesce	Troy Stecher

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jakub Lauko, Michael Pezzetta, Tyson Jost	Jakub Lauko, Michael Pezzetta	Tyson Jost

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Colin Miller, Jayden Struble, Callan Foote	Colin Miller	Jayden Struble, Callan Foote

Tirs de Pénalité
Tyson Jost, Adam Gaudette, Brett Pesce, Michael Pezzetta, Zack Ostapchuk

Gardien
#1 : Magnus Hellberg, #2 : Leevi Merilainen

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	Chiken Wings	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	4	3	1	2	0.500	6	11	17	0	0	8	14	8	1	69	91	89	105	9	54	14	32	50	10	3	30.00%	13	4	69.23%	0	172	303	56.77%	143	284	50.35%	66	122	54.10%	202	140	183	61	103	50
2	Crunch	2	2	0	0	0	0	0	0	11	5	6	1	1	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	5	4	1	4	1.000	11	20	31	0	0	8	14	8	1	110	91	89	105	9	59	9	24	57	12	3	25.00%	9	0	100.00%	0	172	303	56.77%	143	284	50.35%	66	122	54.10%	202	140	183	61	103	50
3	Rockets	2	0	0	0	0	0	1	1	6	6	0	1	0	0	0	0	0	0	1	4	5	-1	1	0	0	0	0	0	1	0	2	1	1	3	0.750	6	10	16	0	0	8	14	8	1	54	91	89	105	9	68	18	32	57	3	0	0.00%	16	1	93.75%	0	172	303	56.77%	143	284	50.35%	66	122	54.10%	202	140	183	61	103	50
4	Sword	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	4	1.000	8	14	22	0	0	8	14	8	1	55	91	89	105	9	67	12	28	45	7	2	28.57%	11	1	90.91%	0	172	303	56.77%	143	284	50.35%	66	122	54.10%	202	140	183	61	103	50
	Total	8	5	1	0	0	0	1	1	31	21	10	4	2	1	0	0	0	0	1	16	11	5	4	3	0	0	0	0	1	0	15	10	5	13	0.813	31	55	86	0	0	8	14	8	1	288	91	89	105	9	248	53	116	209	32	8	25.00%	49	6	87.76%	0	172	303	56.77%	143	284	50.35%	66	122	54.10%	202	140	183	61	103	50
	_Since Last GM Reset	8	5	1	0	0	0	1	1	31	21	10	4	2	1	0	0	0	0	1	16	11	5	4	3	0	0	0	0	1	0	15	10	5	13	0.813	31	55	86	0	0	8	14	8	1	288	91	89	105	9	248	53	116	209	32	8	25.00%	49	6	87.76%	0	172	303	56.77%	143	284	50.35%	66	122	54.10%	202	140	183	61	103	50
	_Vs Conference	8	5	1	0	0	0	1	1	31	21	10	4	2	1	0	0	0	0	1	16	11	5	4	3	0	0	0	0	1	0	15	10	5	13	0.813	31	55	86	0	0	8	14	8	1	288	91	89	105	9	248	53	116	209	32	8	25.00%	49	6	87.76%	0	172	303	56.77%	143	284	50.35%	66	122	54.10%	202	140	183	61	103	50
	_Vs Division	2	5	1	0	0	0	1	1	11	5	6	1	2	1	0	0	0	0	1	6	1	5	1	3	0	0	0	0	1	0	5	4	1	13	3.250	11	20	31	0	0	8	14	8	1	110	91	89	105	9	59	9	24	57	12	3	25.00%	9	0	100.00%	0	172	303	56.77%	143	284	50.35%	66	122	54.10%	202	140	183	61	103	50

			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	13	W4	31	55	86	288	248	53	116	209	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	1	0	0	1	1	31	21

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	1	0	0	0	1	16	11

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	0	0	0	1	0	15	10

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	1	0	0	0	1

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
32	8	25.00%	49	6	87.76%	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
91	89	105	9	8	14	8	1

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
172	303	56.77%	143	284	50.35%	66	122	54.10%

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
202	140	183	61	103	50

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
1 - 2024-09-17	3	Phantom	2	Rockets	1	W	X	X	Sommaire du Match
3 - 2024-09-19	14	Rockets	5	Phantom	4	L	X	X	Sommaire du Match
4 - 2024-09-20	19	Phantom	4	Sword	2	W			Sommaire du Match
7 - 2024-09-23	38	Chiken Wings	3	Phantom	2	L			Sommaire du Match
9 - 2024-09-25	50	Sword	2	Phantom	4	W			Sommaire du Match
11 - 2024-09-27	61	Phantom	5	Crunch	4	W			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
13 - 2024-09-29	70	Crunch	1	Phantom	6	W			Sommaire du Match
14 - 2024-09-30	75	Phantom	4	Chiken Wings	3	W			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	40	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$	2,874,001$	2,431,043$	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	10	6	4	0	0	0	0	0	48	38	10	5	3	2	0	0	0	0	0	23	20	3	5	3	2	0	0	0	0	0	25	18	7	12	48	91	139	0	0	19	17	11	1	397	105	114	114	64	382	126	112	287	56	14	25.00%	52	11	78.85%	1	240	408	58.82%	223	406	54.93%	105	192	54.69%	317	221	258	85	154	79
Total Séries	10	6	4	0	0	0	0	0	48	38	10	5	3	2	0	0	0	0	0	23	20	3	5	3	2	0	0	0	0	0	25	18	7	12	48	91	139	0	0	19	17	11	1	397	105	114	114	64	382	126	112	287	56	14	25.00%	52	11	78.85%	1	240	408	58.82%	223	406	54.93%	105	192	54.69%	317	221	258	85	154	79