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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	Jayson Megna	X	X	X		98.00	78	72	91	77	72	79	83	66	80	62	62	72	59	64	64	0	52	68	0	34	2	775,000$
2	Alex Laferriere			X		98.00	79	56	83	80	64	64	78	68	50	62	68	63	25	55	55	0	54	67	0	22	3	875,000$
3	Nicolas Petan	X	X	X		100.00	69	61	86	70	61	76	79	66	80	64	61	66	58	61	61	0	49	65	0	29	3	1,111,111$
4	Chris Tierney	X				98.00	63	53	87	80	71	53	71	63	70	62	58	71	25	76	76	0	58	65	0	30	2	3,500,000$
5	Jacob Peterson	X	X			100.00	71	63	91	81	63	69	72	60	75	57	59	62	56	45	46	0	56	64	0	25	1	842,500$
6	Samuel Poulin (R)	X	X			100.00	75	75	75	64	75	55	53	64	80	59	65	65	62	44	44	0	58	64	0	23	2	863,333$
7	Daniil Gushchin (R)		X			100.00	67	58	87	67	58	78	81	67	50	65	65	61	62	44	44	0	46	64	0	22	3	828,333$
8	Mackie Samoskevich (R)			X		100.00	73	67	87	66	67	70	71	65	50	63	64	64	61	44	44	0	55	64	0	21	3	925,000$
9	Mackenzie Entwistle	X	X			100.00	86	75	80	70	71	59	84	64	64	59	58	74	25	62	62	0	55	64	0	25	1	811,667$
10	Ryan Reaves			X		100.00	99	99	72	73	84	51	78	63	25	54	58	64	25	80	85	0	48	63	0	37	2	1,750,000$
11	Jan Jenik	X				100.00	70	68	76	74	68	63	64	62	78	59	60	62	57	46	46	0	58	63	0	24	1	795,000$
12	Olli Maatta				X	100.00	69	43	93	82	76	69	92	61	25	54	48	76	25	74	75	0	53	68	0	30	1	3,333,225$
13	Urho Vaakanainen				X	100.00	71	43	88	78	73	72	64	64	25	54	47	85	25	59	59	0	58	68	0	25	2	850,000$
14	Vincent Desharnais				X	100.00	82	78	80	70	82	67	81	62	25	50	47	85	25	57	58	0	55	67	0	28	3	925,000$
15	Yegor Zamula				X	100.00	67	42	85	73	65	69	79	74	25	58	49	69	25	55	55	0	36	67	0	24	1	756,667$
16	Declan Chisholm				X	100.00	63	41	83	75	69	70	65	76	25	54	50	71	25	47	47	0	55	66	0	24	3	775,000$
17	David Jiricek (R)				X	100.00	65	42	85	76	71	65	80	61	25	55	47	67	25	48	48	0	54	64	0	20	2	950,000$
Rayé
1	Tanner Jeannot		X	X		99.00	99	99	63	81	80	62	83	71	39	61	64	64	25	64	65	0	47	68	0	27	1	800,000$
2	Georgi Merkulov		X			100.00	73	66	90	75	66	70	71	66	50	63	66	64	63	44	44	0	38	66	0	23	3	925,000$
3	Justin Sourdif (R)	X				100.00	65	63	70	65	63	69	71	61	76	60	58	59	55	44	44	0	56	61	0	22	3	847,500$
4	Taro Hirose		X			100.00	70	59	94	60	59	75	79	62	50	62	56	63	53	50	50	0	42	60	0	28	3	850,000$
5	Zac Dalpe	X				100.00	74	72	78	61	72	75	80	59	74	49	61	67	58	60	61	0	50	60	0	34	2	775,000$
6	Rasmus Kupari	X	X	X		100.00	79	70	80	77	70	64	70	45	58	56	53	59	42	60	61	0	44	60	0	24	0	0$
7	Zach Dean (R)	X				100.00	71	65	85	75	65	62	65	53	66	45	56	60	53	44	44	0	46	58	0	21	3	852,500$
8	Jalen Chatfield				X	100.00	71	43	89	68	69	66	92	61	25	54	51	70	25	64	65	0	51	64	0	28	2	750,000$
9	Victor Soderstrom				X	100.00	72	67	83	78	67	80	86	56	25	48	49	62	47	49	49	0	51	63	0	23	1	863,333$
10	Dennis Cholowski				X	100.00	80	73	96	65	73	77	84	54	25	47	43	68	41	58	58	0	42	61	0	26	1	900,000$

	MOYENNE D'ÉQUIPE					99.74	74	63	84	73	69	68	76	63	50	57	56	67	42	55	56	0	51	64

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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
Rayé

	MOYENNE D'ÉQUIPE	0.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Andrew Meloche	40	40	40	40	40	40	40	TUR	80	3	100,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	S1	S2	S3
1	Vincent Desharnais	IceHogs (CHI)	D	8	4	6	10	1	10	24	12	22	6	12	18.18%	19	165	20.64	2	0	2	13	29	0	25	1	0	0.00%	0	0	0	1.21	0	0	2	0	2
2	Jayson Megna	IceHogs (CHI)	C/LW/RW	8	7	2	9	-1	2	14	27	44	13	22	15.91%	4	172	21.60	3	2	5	14	35	0	19	1	0	42.86%	28	0	1	1.04	1	1	2	0	0
3	Olli Maatta	IceHogs (CHI)	D	8	1	5	6	-1	8	20	11	15	5	11	6.67%	22	174	21.81	1	1	2	11	35	0	31	0	0	0.00%	0	0	0	0.69	0	0	0	1	0
4	Tanner Jeannot	IceHogs (CHI)	LW/RW	6	1	5	6	0	16	26	9	21	11	11	4.76%	4	134	22.39	0	2	2	4	24	0	22	0	0	30.77%	13	0	0	0.89	0	1	0	2	0
5	Ryan Reaves	IceHogs (CHI)	RW	8	3	3	6	4	10	10	12	12	5	11	25.00%	2	99	12.40	0	0	0	0	0	0	0	0	0	75.00%	4	0	0	1.21	0	0	0	0	0
6	Chris Tierney	IceHogs (CHI)	C	8	4	1	5	-3	0	3	34	22	4	18	18.18%	2	143	17.90	0	0	0	7	29	0	0	0	0	53.44%	189	1	0	0.70	0	0	0	1	0
7	Mackenzie Entwistle	IceHogs (CHI)	C/LW	8	3	2	5	4	4	6	17	19	4	16	15.79%	2	114	14.36	0	0	0	0	0	1	15	0	1	56.92%	130	0	0	0.87	0	0	0	0	0
8	David Jiricek	IceHogs (CHI)	D	8	0	4	4	1	4	16	8	7	2	4	0.00%	5	99	12.44	0	1	1	2	2	0	0	0	0	0.00%	0	0	0	0.80	0	0	0	0	0
9	Jan Jenik	IceHogs (CHI)	C	8	0	4	4	5	2	2	14	16	7	12	0.00%	0	107	13.38	0	0	0	0	0	0	0	0	0	50.00%	18	0	0	0.75	0	0	0	0	0
10	Alex Laferriere	IceHogs (CHI)	RW	8	1	2	3	-3	4	23	10	19	6	15	5.26%	1	157	19.75	0	1	1	6	29	0	12	0	0	66.67%	9	0	0	0.38	0	0	0	0	0
11	Nicklas Backstrom	Blackhawks	C	4	1	2	3	-1	0	0	10	11	4	4	9.09%	2	98	24.54	0	0	0	6	19	0	23	1	0	58.28%	163	0	0	0.61	0	0	0	0	1
12	Jalen Chatfield	IceHogs (CHI)	D	7	0	3	3	0	6	5	6	7	3	5	0.00%	10	145	20.81	0	0	0	5	25	0	25	0	0	0.00%	0	0	0	0.41	0	0	0	0	0
13	Nick Jensen	Blackhawks	D	4	0	2	2	-3	12	5	6	9	3	5	0.00%	10	96	24.14	0	1	1	7	21	0	16	0	0	0.00%	0	0	0	0.41	0	0	0	0	0
14	Jacob Peterson	IceHogs (CHI)	C/LW	8	0	1	1	-3	4	6	13	17	4	6	0.00%	0	145	18.24	0	1	1	5	29	0	2	0	0	63.64%	11	0	0	0.14	0	0	0	0	0
15	Justin Sourdif	IceHogs (CHI)	C	4	0	1	1	0	0	0	0	0	0	0	0.00%	0	5	1.37	0	1	1	0	2	0	2	0	0	33.33%	3	0	0	3.65	0	0	0	0	0
16	Victor Soderstrom	IceHogs (CHI)	D	4	0	1	1	1	4	7	4	2	0	4	0.00%	3	55	13.99	0	0	0	1	0	0	6	0	0	0.00%	0	0	0	0.36	0	0	0	0	0
17	Zac Dalpe	IceHogs (CHI)	C	4	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.21	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				113	25	44	69	1	86	167	193	243	77	156	10.29%	86	1917	16.96	6	10	16	81	288	1	203	3	1	54.93%	568	1	1	0.72	1	2	4	4	3

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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	Samuel Ersson	Blackhawks	6	2	3	1	0.873	4.17	302	0	0	21	165	0	0	0	0.333	3	6	0	0	0	0
Stats d'équipe Total ou en Moyenne			6	2	3	1	0.873	4.17	302	0	0	21	165	0	0	0	0.333	3	6	0	0	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
Alex Laferriere	IceHogs (CHI)	RW	22	2001-10-28	No	172 Lbs	6 ft0	No	No	No	3	Pro & Farm	875,000$	875,000$	0$	0$	No	875,000$	875,000$	Lien
Chris Tierney	IceHogs (CHI)	C	30	1994-06-30	No	194 Lbs	6 ft1	No	No	No	2	Pro & Farm	3,500,000$	3,500,000$	0$	0$	No	3,500,000$		Lien / Lien NHL
Daniil Gushchin	IceHogs (CHI)	LW	22	2002-06-02	Yes	165 Lbs	5 ft8	No	No	No	3	Pro & Farm	828,333$	828,333$	0$	0$	No	828,333$	828,333$	Lien
David Jiricek	IceHogs (CHI)	D	20	2003-11-28	Yes	189 Lbs	6 ft3	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$		Lien
Declan Chisholm	IceHogs (CHI)	D	24	2000-01-12	No	185 Lbs	6 ft1	No	No	No	3	Pro & Farm	775,000$	775,000$	0$	0$	No	775,000$	775,000$	Lien
Dennis Cholowski	IceHogs (CHI)	D	26	1998-02-15	No	197 Lbs	6 ft2	No	No	No	1	Pro & Farm	900,000$	900,000$	0$	0$	No			Lien / Lien NHL
Georgi Merkulov	IceHogs (CHI)	LW	23	2000-10-10	No	180 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$	Lien
Jacob Peterson	IceHogs (CHI)	C/LW	25	1999-07-19	No	169 Lbs	6 ft1	No	No	No	1	Pro & Farm	842,500$	842,500$	0$	0$	No			Lien
Jalen Chatfield	IceHogs (CHI)	D	28	1996-05-15	No	187 Lbs	6 ft1	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$		Lien / Lien NHL
Jan Jenik	IceHogs (CHI)	C	24	2000-09-15	No	172 Lbs	6 ft1	No	No	No	1	Pro & Farm	795,000$	795,000$	0$	0$	No			Lien
Jayson Megna	IceHogs (CHI)	C/LW/RW	34	1990-02-01	No	195 Lbs	6 ft1	No	No	No	2	Pro & Farm	775,000$	775,000$	0$	0$	No	775,000$		Lien / Lien NHL
Justin Sourdif	IceHogs (CHI)	C	22	2002-03-24	Yes	172 Lbs	5 ft11	No	No	No	3	Pro & Farm	847,500$	847,500$	0$	0$	No	847,500$	847,500$	Lien
Mackenzie Entwistle	IceHogs (CHI)	C/LW	25	1999-07-13	No	180 Lbs	6 ft3	No	No	No	1	Pro & Farm	811,667$	811,667$	0$	0$	No			Lien / Lien NHL
Mackie Samoskevich	IceHogs (CHI)	RW	21	2002-11-15	Yes	189 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$	Lien
Nicolas Petan	IceHogs (CHI)	C/LW/RW	29	1995-03-22	No	174 Lbs	5 ft9	No	No	No	3	Pro & Farm	1,111,111$	1,111,111$	0$	0$	No	1,111,111$	1,111,111$	Lien
Olli Maatta	IceHogs (CHI)	D	30	1994-08-22	No	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	3,333,225$	3,333,225$	0$	0$	No			Lien / Lien NHL
Rasmus Kupari	IceHogs (CHI)	C/LW/RW	24	2000-03-15	No	189 Lbs	6 ft2	No	No	No	0	Pro & Farm			0$	0$	No			Lien / Lien NHL
Ryan Reaves	IceHogs (CHI)	RW	37	1987-01-20	No	224 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,750,000$	1,750,000$	0$	0$	No	1,750,000$		Lien / Lien NHL
Samuel Poulin	IceHogs (CHI)	C/LW	23	2001-02-25	Yes	207 Lbs	6 ft1	No	No	No	2	Pro & Farm	863,333$	863,333$	0$	0$	No	863,333$		Lien
Tanner Jeannot	IceHogs (CHI)	LW/RW	27	1997-05-29	No	207 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	0$	No			Lien / Lien NHL
Taro Hirose	IceHogs (CHI)	LW	28	1996-06-30	No	162 Lbs	5 ft10	No	No	No	3	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$	850,000$	Lien / Lien NHL
Urho Vaakanainen	IceHogs (CHI)	D	25	1999-01-01	No	196 Lbs	6 ft2	No	No	No	2	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$		Lien / Lien NHL
Victor Soderstrom	IceHogs (CHI)	D	23	2001-02-26	No	183 Lbs	6 ft0	No	No	No	1	Pro & Farm	863,333$	863,333$	0$	0$	No			Lien
Vincent Desharnais	IceHogs (CHI)	D	28	1996-05-29	No	209 Lbs	6 ft6	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$	Lien
Yegor Zamula	IceHogs (CHI)	D	24	2000-03-30	No	169 Lbs	6 ft3	No	No	No	1	Pro & Farm	756,667$	756,667$	0$	0$	No			Lien
Zac Dalpe	IceHogs (CHI)	C	34	1989-11-01	No	194 Lbs	6 ft2	No	No	No	2	Pro & Farm	775,000$	775,000$	0$	0$	No	775,000$		Lien / Lien NHL
Zach Dean	IceHogs (CHI)	C	21	2003-01-04	Yes	176 Lbs	6 ft0	No	No	No	3	Pro & Farm	852,500$	852,500$	0$	0$	No	852,500$	852,500$	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
27	25.89	187 Lbs	6 ft1	2.00	1,045,562$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1			Jayson Megna	35	1	2	2
2	Jacob Peterson	Chris Tierney	Alex Laferriere	35	1	2	2
3	Jan Jenik	Mackenzie Entwistle	Ryan Reaves	25	1	2	2
4		Jan Jenik		5	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Olli Maatta	35	1	2	2
2	Vincent Desharnais		35	1	2	2
3	David Jiricek		25	1	2	2
4			5	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1			Jayson Megna	60	1	2	2
2	Jacob Peterson	Chris Tierney	Alex Laferriere	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Olli Maatta	60	1	2	2
2	Vincent Desharnais		40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2	Jayson Megna	Alex Laferriere	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Olli Maatta	60	1	2	2
2	Vincent Desharnais		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		Olli Maatta	60	1	2	2
2		40	1	2	2	Vincent Desharnais		40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2	Jayson Megna	Alex Laferriere	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Olli Maatta	60	1	2	2
2	Vincent Desharnais		40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
		Jayson Megna		Olli Maatta

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
		Jayson Megna		Olli Maatta

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, , Mackenzie Entwistle	,	Mackenzie Entwistle

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
David Jiricek, ,	David Jiricek	,

Tirs de Pénalité
, , Jayson Megna, Alex Laferriere, Chris Tierney

Gardien
#1 : , #2 :

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	Drag	2	1	0	0	0	0	0	1	8	7	1	1	1	0	0	0	0	0	0	6	4	2	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	8	12	20	0	0	8	9	9	1	59	77	70	102	4	80	25	14	49	9	2	22.22%	7	2	71.43%	0	139	265	52.45%	160	326	49.08%	65	135	48.15%	178	119	205	62	101	49
2	Checkers	2	1	1	0	0	0	0	0	8	8	0	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	8	13	21	0	0	8	9	9	1	75	77	70	102	4	67	17	22	53	9	2	22.22%	10	3	70.00%	0	139	265	52.45%	160	326	49.08%	65	135	48.15%	178	119	205	62	101	49
3	Hurricanes	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	6	12	18	0	0	8	9	9	1	69	77	70	102	4	70	30	26	39	10	1	10.00%	12	3	75.00%	0	139	265	52.45%	160	326	49.08%	65	135	48.15%	178	119	205	62	101	49
	Total	8	3	4	0	0	0	0	1	26	32	-6	4	3	1	0	0	0	0	0	18	15	3	4	0	3	0	0	0	0	1	8	17	-9	7	0.438	26	45	71	0	0	8	9	9	1	250	77	70	102	4	308	101	88	194	39	6	15.38%	42	11	73.81%	0	139	265	52.45%	160	326	49.08%	65	135	48.15%	178	119	205	62	101	49
4	Wilkes-Barre	2	0	2	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	4	8	12	0	0	8	9	9	1	47	77	70	102	4	91	29	26	53	11	1	9.09%	13	3	76.92%	0	139	265	52.45%	160	326	49.08%	65	135	48.15%	178	119	205	62	101	49
	_Since Last GM Reset	8	3	4	0	0	0	0	1	26	32	-6	4	3	1	0	0	0	0	0	18	15	3	4	0	3	0	0	0	0	1	8	17	-9	7	0.438	26	45	71	0	0	8	9	9	1	250	77	70	102	4	308	101	88	194	39	6	15.38%	42	11	73.81%	0	139	265	52.45%	160	326	49.08%	65	135	48.15%	178	119	205	62	101	49
	_Vs Conference	8	3	4	0	0	0	0	1	26	32	-6	4	3	1	0	0	0	0	0	18	15	3	4	0	3	0	0	0	0	1	8	17	-9	7	0.438	26	45	71	0	0	8	9	9	1	250	77	70	102	4	308	101	88	194	39	6	15.38%	42	11	73.81%	0	139	265	52.45%	160	326	49.08%	65	135	48.15%	178	119	205	62	101	49
	_Vs Division	6	3	4	0	0	0	0	1	22	22	0	3	3	1	0	0	0	0	0	16	10	6	3	0	3	0	0	0	0	1	6	12	-6	7	0.583	22	37	59	0	0	8	9	9	1	203	77	70	102	4	217	72	62	141	28	5	17.86%	29	8	72.41%	0	139	265	52.45%	160	326	49.08%	65	135	48.15%	178	119	205	62	101	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
8	7	W1	26	45	71	250	308	101	88	194	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	3	4	0	0	0	1	26	32

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	18	15

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	3	0	0	0	1	8	17

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	4	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
39	6	15.38%	42	11	73.81%	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	70	102	4	8	9	9	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
139	265	52.45%	160	326	49.08%	65	135	48.15%

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
178	119	205	62	101	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	SO	Lien
3 - 2024-09-19	10	Wilkes-Barre	5	IceHogs	2	L			Sommaire du Match
4 - 2024-09-20	21	IceHogs	3	Checkers	5	L			Sommaire du Match
6 - 2024-09-22	31	Hurricanes	3	IceHogs	5	W			Sommaire du Match
7 - 2024-09-23	39	IceHogs	1	Hurricanes	4	L			Sommaire du Match
9 - 2024-09-25	48	Checkers	3	IceHogs	5	W			Sommaire du Match
10 - 2024-09-26	56	IceHogs	2	Drag	3	L	X	X	Sommaire du Match
11 - 2024-09-27	63	IceHogs	2	Wilkes-Barre	5	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	74	Drag	4	IceHogs	6	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	20	10
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$	2,823,016$	2,178,527$	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	5	1	4	0	0	0	0	0	17	23	-6	3	0	3	0	0	0	0	0	9	16	-7	2	1	1	0	0	0	0	0	8	7	1	2	17	31	48	0	0	8	6	3	0	181	72	53	50	6	215	78	52	129	22	6	27.27%	26	10	61.54%	0	107	192	55.73%	100	214	46.73%	46	82	56.10%	129	90	123	36	61	32
Total Séries	5	1	4	0	0	0	0	0	17	23	-6	3	0	3	0	0	0	0	0	9	16	-7	2	1	1	0	0	0	0	0	8	7	1	2	17	31	48	0	0	8	6	3	0	181	72	53	50	6	215	78	52	129	22	6	27.27%	26	10	61.54%	0	107	192	55.73%	100	214	46.73%	46	82	56.10%	129	90	123	36	61	32