Profi League

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Ryan Garbutt		X	X		100.00	76	58	80	77	67	72	83	66	61	42	42	66	50	65	66	0	70	64	0
2	Jared McCann (R)	X				100.00	64	42	66	78	50	59	67	68	85	42	44	61	93	52	52	0	84	59	0
3	Freddie Hamilton	X		X		100.00	85	72	78	74	55	69	68	61	79	37	38	60	50	46	46	0	84	58	0
4	Derek Grant	X	X			100.00	69	45	68	74	59	54	64	63	79	39	38	63	50	47	47	0	78	57	0
5	Andy Andreoff	X	X			100.00	71	99	58	72	59	51	62	60	71	39	44	61	50	54	54	0	69	57	0
6	Mitch Moroz (R)		X			100.00	80	78	57	63	79	63	62	55	66	34	35	55	57	50	50	0	79	56	0
7	Curtis McKenzie		X			100.00	55	72	57	72	55	68	64	62	79	40	41	57	58	47	47	0	83	56	0
8	Luke Gazdic (C)		X	X		100.00	67	99	65	68	60	49	61	62	57	36	41	58	50	59	59	0	76	56	0
9	Alex Broadhurst (R)	X				100.00	69	67	73	60	52	60	61	58	71	38	34	55	50	44	44	0	84	53	0
10	Justin Shugg		X	X		100.00	58	67	60	65	51	66	64	59	71	37	35	56	50	44	44	0	83	53	0
11	Kyle Platzer (R)	X				100.00	64	66	71	67	51	51	60	56	67	32	32	59	50	44	44	0	74	52	0
12	Hunter Smith (R)			X		100.00	59	81	58	63	59	52	60	53	66	28	29	54	50	44	44	0	26	49	0
13	Adam Pelech (R)				X	100.00	72	82	69	59	64	65	67	58	25	42	37	75	50	49	44	0	36	58	0
14	Jarred Tinordi				X	100.00	76	90	66	63	65	63	66	63	25	39	37	73	50	49	50	0	43	58	0
15	Ryan Graves (R)				X	100.00	61	83	66	64	64	62	66	58	25	29	33	61	50	48	48	0	77	54	0
16	Pat Sieloff (R) (A)				X	100.00	61	74	64	69	59	60	64	57	25	33	35	58	55	52	57	0	85	54	0
17	Mat Bodie				X	100.00	55	65	61	58	56	69	71	67	25	37	31	55	50	45	45	0	79	53	0
18	Maxime Fortunus				X	100.00	61	72	68	59	59	68	70	58	25	29	31	61	50	48	48	0	82	53	0
Rayé
1	Sonny Milano (R)		X			100.00	69	67	73	75	52	53	60	58	69	35	36	58	50	44	44	0	58	54	0
2	Ryan Kujawinski (R)	X		X		100.00	60	75	62	67	57	53	60	56	69	32	31	58	50	44	44	0	74	51	0
3	Brady Vail	X				100.00	47	35	80	67	71	45	40	49	32	28	28	50	50	39	43	0	21	47	0
4	Mark Cundari				X	100.00	56	68	62	72	57	64	67	60	25	30	32	55	50	45	45	0	18	53	0
5	Mark Alt				X	100.00	59	77	66	59	62	66	68	60	25	30	30	59	50	47	47	0	43	53	0
6	Christian Djoos (R)				X	100.00	56	58	67	64	55	60	65	66	25	32	33	56	50	45	44	0	19	52	0

	MOYENNE D'ÉQUIPE					100.00	65	71	66	67	59	60	64	60	52	35	35	59	53	48	48	0	64	55

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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	Curtis McElhinney	100.00	66	70	75	79	63	81	72	71	70	61	61	74	74	0	84	69	0
2	Brad Thiessen	100.00	84	76	67	79	70	66	70	71	70	69	57	55	55	0	84	68	0
Rayé
1	Maxime Lagace	100.00	68	74	67	76	67	70	65	69	68	65	46	55	55	0	20	65	0
2	Philippe Desrosiers (R)	100.00	61	70	67	70	66	71	64	67	63	63	48	55	55	0	21	63	0

	MOYENNE D'ÉQUIPE	100.00	70	73	69	76	67	72	68	70	68	65	53	60	60	0	52	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Gerry Fleming	75	66	66	70	60	60	72	CAN	49	5	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	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKA	PKM	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSS
1	Jared McCann	Stars (DAL)		C	4	0	3	3	-1	2	0	7	8	5	11	0.00%	4	23.:.28	0	1	1	0	0	10	0	53.85%	91	19	3	0	0	0.64	0
2	Derek Grant	Stars (DAL)		C/LW	4	1	1	2	0	0	0	15	11	2	12	9.09%	3	20.:.03	1	0	1	0	0	5	0	60.00%	25	7	3	0	0	0.50	0
3	Adam Pelech	Stars (DAL)		D	2	0	1	1	0	0	0	7	0	2	1	0.00%	5	17.:.28	0	1	1	0	0	3	0	0.00%	0	1	4	0	0	0.57	0
4	Ryan Garbutt	Stars (DAL)		LW/RW	2	1	0	1	1	0	0	3	5	3	2	20.00%	4	14.:.14	0	0	0	0	0	3	0	50.00%	2	6	2	0	0	0.70	0
5	Andy Andreoff	Stars (DAL)		C/LW	4	0	1	1	0	27	15	8	19	3	16	0.00%	2	17.:.40	0	0	0	0	0	0	0	57.14%	21	13	4	0	0	0.28	0
6	Justin Shugg	Stars (DAL)		LW/RW	4	1	0	1	0	0	0	2	2	0	3	50.00%	1	13.:.47	0	0	0	0	0	0	0	100.00%	2	0	2	0	0	0.36	0
7	Maxime Fortunus	Stars (DAL)		D	4	0	1	1	1	0	0	2	7	5	1	0.00%	7	17.:.02	0	0	0	0	0	3	0	0.00%	0	0	1	0	0	0.29	0
8	Mark Cundari	Stars (DAL)		D	3	0	0	0	0	0	0	3	1	0	2	0.00%	6	20.:.23	0	0	0	0	0	4	0	0.00%	0	0	3	0	0	0.00	0
9	Mat Bodie	Stars (DAL)		D	4	0	0	0	1	0	0	4	3	3	1	0.00%	6	18.:.27	0	0	0	0	0	0	0	0.00%	0	1	4	0	0	0.00	0
10	Alex Broadhurst	Stars (DAL)		C	4	0	0	0	0	0	0	3	8	1	5	0.00%	1	13.:.08	0	0	0	0	0	3	0	58.06%	31	0	1	0	0	0.00	0
11	Hunter Smith	Stars (DAL)		RW	3	0	0	0	0	11	5	4	1	0	1	0.00%	2	12.:.08	0	0	0	0	0	0	0	50.00%	2	0	0	0	0	0.00	0
12	Kyle Platzer	Stars (DAL)		C	1	0	0	0	0	0	0	1	2	1	2	0.00%	0	12.:.16	0	0	0	0	0	0	0	50.00%	4	3	0	0	0	0.00	0
13	Jarred Tinordi	Stars (DAL)		D	4	0	0	0	-1	35	25	11	6	3	5	0.00%	12	24.:.20	0	0	0	0	0	6	0	0.00%	0	0	9	0	0	0.00	0
14	Ryan Graves	Stars (DAL)		D	4	0	0	0	-1	10	10	4	3	2	3	0.00%	9	21.:.36	0	0	0	0	0	7	0	0.00%	0	1	10	0	0	0.00	0
15	Ryan Kujawinski	Stars (DAL)		C/RW	1	0	0	0	0	5	5	1	1	1	0	0.00%	0	14.:.45	0	0	0	0	0	0	0	100.00%	2	1	0	0	0	0.00	0
16	Sonny Milano	Stars (DAL)		LW	3	0	0	0	0	0	0	2	4	1	7	0.00%	1	11.:.14	0	0	0	0	0	2	0	0.00%	1	10	1	0	0	0.00	0
17	Mitch Moroz	Stars (DAL)		LW	4	0	0	0	0	2	0	8	7	2	7	0.00%	2	16.:.40	0	0	0	0	0	1	0	71.43%	7	1	0	0	0	0.00	0
18	Freddie Hamilton	Stars (DAL)		C/RW	4	0	0	0	-1	0	0	11	8	4	11	0.00%	0	19.:.20	0	0	0	0	0	4	0	50.00%	42	8	2	0	0	0.00	0
19	Mark Alt	Stars (DAL)		D	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.00	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0
20	Curtis McKenzie	Stars (DAL)		LW	4	0	0	0	-1	7	5	4	9	4	4	0.00%	2	15.:.51	0	0	0	0	0	3	0	100.00%	4	6	1	0	0	0.00	0
21	Pat Sieloff	Stars (DAL)		D	4	0	0	0	-2	19	5	4	7	4	3	0.00%	5	24.:.54	0	0	0	0	0	9	0	0.00%	0	1	5	0	0	0.00	0
22	Luke Gazdic	Stars (DAL)		LW/RW	4	0	0	0	-1	39	25	6	13	8	8	0.00%	3	14.:.43	0	0	0	0	0	0	0	60.00%	5	8	3	0	0	0.00	1
Stats d'équipe Total ou en Moyenne			72	3	7	10	-5	157	95	110	104	125	54	105	2.40%	75	1265	17.58	1	2	3	8	81	0	5	69	0	0	56.49%	239	86	58	0	0.16	0	1	6	4	9	0	0	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	Curtis McElhinney	Stars (DAL)	4	0	3	1	94.2%	1.86	258	0	0	8	138	76	0	0	0.0%	0	4	0	0	0	0
Stats d'équipe Total ou en Moyenne		4	0	3	1	0.942	1.86	258	0	0	8	138	76	0	0	0.000	0	4	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	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Salaire Année 8	Salaire Année 9	Salaire Année 10	Link
Adam Pelech	Stars (DAL)	D	22	18.8.1994 14:45:13	Yes	220 Lbs	6 ft3	No	No	3	Contrat d'Entrée	Pro & Farm	1,100,000$	1,100,000$	1,100,000$								Lien
Alex Broadhurst	Stars (DAL)	C	24	7.3.1993	Yes	188 Lbs	5 ft11	No	No	8	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Andy Andreoff	Stars (DAL)	C/LW	26	17.5.1991 10:13:00	No	207 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	1,300,000$	1,300,000$									Lien
Brad Thiessen	Stars (DAL)	G	31	29.1.1986	No	180 Lbs	6 ft0	No	No	1	Sans Restriction	Pro & Farm	800,000$										Lien
Brady Vail	Stars (DAL)	C	23	11.3.1994 4:40:59	No	196 Lbs	6 ft1	No	No	7	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Christian Djoos	Stars (DAL)	D	22	6.8.1994	Yes	159 Lbs	5 ft11	No	No	10	Contrat d'Entrée	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Curtis McElhinney	Stars (DAL)	G	33	23.9.1983	No	205 Lbs	6 ft3	No	No	2	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$									Lien
Curtis McKenzie	Stars (DAL)	LW	26	21.2.1991 4:46:58	No	192 Lbs	6 ft2	No	No	2	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$									Lien
Derek Grant	Stars (DAL)	C/LW	27	20.4.1990	No	206 Lbs	6 ft3	No	No	1	Sans Restriction	Pro & Farm	800,000$										Lien
Freddie Hamilton	Stars (DAL)	C/RW	25	1.1.1992 4:37:16	No	195 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	800,000$	800,000$									Lien
Hunter Smith	Stars (DAL)	RW	21	10.9.1995	Yes	208 Lbs	6 ft7	No	No	10	Contrat d'Entrée	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Jared McCann	Stars (DAL)	C	20	31.5.1996 3:30:33	Yes	179 Lbs	6 ft0	No	No	3	Contrat d'Entrée	Pro & Farm	1,500,000$	1,500,000$	1,500,000$								Lien
Jarred Tinordi	Stars (DAL)	D	25	20.2.1992 17:37:33	No	225 Lbs	6 ft6	No	No	2	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$									Lien
Justin Shugg	Stars (DAL)	LW/RW	25	24.12.1991 10:14:01	No	185 Lbs	5 ft11	No	No	6	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Kyle Platzer	Stars (DAL)	C	22	3.3.1995	Yes	182 Lbs	5 ft11	No	No	10	Contrat d'Entrée	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Luke Gazdic	Stars (DAL)	LW/RW	27	25.7.1989	No	233 Lbs	6 ft4	No	No	1	Sans Restriction	Pro & Farm	700,000$										Lien
Mark Alt	Stars (DAL)	D	25	18.10.1991 4:39:21	No	201 Lbs	6 ft4	No	No	7	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Mark Cundari	Stars (DAL)	D	27	23.4.1990	No	195 Lbs	5 ft9	No	No	5	Sans Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$						Lien
Mat Bodie	Stars (DAL)	D	26	3.7.1990 14:41:49	No	175 Lbs	6 ft0	No	No	8	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Maxime Fortunus	Stars (DAL)	D	33	28.7.1983	No	202 Lbs	5 ft11	No	No	5	Sans Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$						Lien
Maxime Lagace	Stars (DAL)	G	24	11.1.1993	No	185 Lbs	6 ft2	No	No	2	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$									Lien
Mitch Moroz	Stars (DAL)	LW	23	3.5.1994	Yes	214 Lbs	6 ft3	No	No	10	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Pat Sieloff	Stars (DAL)	D	23	15.5.1994	Yes	200 Lbs	6 ft1	No	No	10	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Philippe Desrosiers	Stars (DAL)	G	21	15.8.1995	Yes	195 Lbs	6 ft1	No	No	10	Contrat d'Entrée	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Ryan Garbutt	Stars (DAL)	LW/RW	31	12.8.1985	No	195 Lbs	6 ft0	No	No	1	Sans Restriction	Pro & Farm	1,500,000$										Lien
Ryan Graves	Stars (DAL)	D	22	20.5.1995	Yes	220 Lbs	6 ft4	No	No	10	Contrat d'Entrée	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Ryan Kujawinski	Stars (DAL)	C/RW	22	30.3.1995	Yes	200 Lbs	6 ft2	No	No	10	Contrat d'Entrée	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Sonny Milano	Stars (DAL)	LW	21	11.5.1996	Yes	183 Lbs	6 ft0	No	No	10	Contrat d'Entrée	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
28	24.89	197 Lbs	6 ft1	5.64	503,571$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Ryan Garbutt	Jared McCann	Freddie Hamilton	40	1	2	2
2	Andy Andreoff	Derek Grant	Luke Gazdic	30	1	2	2
3	Mitch Moroz	Alex Broadhurst	Justin Shugg	20	1	2	2
4	Curtis McKenzie	Kyle Platzer	Hunter Smith	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jarred Tinordi	Adam Pelech	40	1	2	2
2	Pat Sieloff	Ryan Graves	30	1	2	2
3	Maxime Fortunus	Mat Bodie	20	1	2	2
4	Jarred Tinordi	Adam Pelech	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Ryan Garbutt	Jared McCann	Freddie Hamilton	60	1	2	2
2	Andy Andreoff	Derek Grant	Luke Gazdic	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jarred Tinordi	Adam Pelech	60	1	2	2
2	Pat Sieloff	Ryan Graves	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ryan Garbutt	Jared McCann	60	1	2	2
2	Freddie Hamilton	Derek Grant	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jarred Tinordi	Adam Pelech	60	1	2	2
2	Pat Sieloff	Ryan Graves	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Garbutt	60	1	2	2	Jarred Tinordi	Adam Pelech	60	1	2	2
2	Jared McCann	40	1	2	2	Pat Sieloff	Ryan Graves	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ryan Garbutt	Jared McCann	60	1	2	2
2	Freddie Hamilton	Derek Grant	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jarred Tinordi	Adam Pelech	60	1	2	2
2	Pat Sieloff	Ryan Graves	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Ryan Garbutt	Jared McCann	Freddie Hamilton	Jarred Tinordi	Adam Pelech

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Ryan Garbutt	Jared McCann	Freddie Hamilton	Jarred Tinordi	Adam Pelech

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Mitch Moroz, Curtis McKenzie, Alex Broadhurst	Mitch Moroz, Curtis McKenzie	Alex Broadhurst

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Maxime Fortunus, Mat Bodie, Pat Sieloff	Maxime Fortunus	Mat Bodie, Pat Sieloff

Tirs de Pénalité
Ryan Garbutt, Jared McCann, Freddie Hamilton, Derek Grant, Andy Andreoff

Gardien
#1 : Curtis McElhinney, #2 : Brad Thiessen

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

#	VS Équipe	GP	L	GF	GA	Diff	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	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	IceCaps	4	4	4	8	-4	4	7	11	2	1	1	140	51	44	33	12	138	77	157	111	9	1	11.11%	12	4	66.67%	42	80	52.50%	62	106	58.49%	32	54	59.26%	95	59	92	37	73	34
	Vs Conference	4	4	4	8	-4	4	7	11	2	1	1	140	51	44	33	12	138	77	157	111	9	1	11.11%	12	4	66.67%	42	80	52.50%	62	106	58.49%	32	54	59.26%	95	59	92	37	73	34
	Since Last GM Reset	4	4	4	8	-4	4	7	11	2	1	1	140	51	44	33	12	138	77	157	111	9	1	11.11%	12	4	66.67%	42	80	52.50%	62	106	58.49%	32	54	59.26%	95	59	92	37	73	34
	Total	4	4	4	8	-4	4	7	11	2	1	1	140	51	44	33	12	138	77	157	111	9	1	11.11%	12	4	66.67%	42	80	52.50%	62	106	58.49%	32	54	59.26%	95	59	92	37	73	34

			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
4	0	OTL1	4	7	11	140	138	77	157	111	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	4	8

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

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

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	3	0	1	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
9	1	11.11%	12	4	66.67%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
51	44	33	12	2	1	1	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
42	80	52.50%	62	106	58.49%	32	54	59.26%

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
95	59	92	37	73	34

Derniers Match Joués

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

Date		Result	Detail
Tue, Apr 22	@	IceCaps2,Stars1	RECAP
Thu, Apr 24	@	IceCaps2,Stars1	RECAP
Sat, Apr 26	@	Stars1,IceCaps2	RECAP
Mon, Apr 28	@	Stars1,IceCaps2 (OT)	RECAP

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
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
39	0 - 0.00%	0$	0$	3000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,410,000$	1,030,000$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour
0$	0$	0$

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

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT