Profi League - Checkers

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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	Erik Condra		X	X		100.00	59	41	66	77	81	72	69	67	61	41	43	68	50	67	69	0	71	62	0
2	Dustin Jeffrey	X	X			100.00	75	75	78	60	57	67	70	66	85	44	41	65	56	59	59	0	62	60	0
3	Austin Watson	X		X		100.00	69	66	66	77	57	52	72	64	58	41	39	65	50	51	51	0	78	58	0
4	Bobby Farnham		X	X		100.00	74	99	58	72	54	52	69	66	60	38	43	60	50	51	51	0	77	57	0
5	Corey Tropp (R)		X	X		100.00	58	68	60	73	52	67	66	59	71	36	36	57	50	60	61	0	67	55	0
6	Chris Bourque		X			100.00	55	60	59	67	49	71	66	63	69	43	42	57	59	49	49	0	60	55	0
7	John Albert	X				100.00	75	69	75	64	53	67	66	59	71	35	35	58	50	45	45	0	81	55	0
8	Eric O'Dell	X				100.00	71	54	53	64	54	51	66	65	56	37	40	60	47	57	63	0	71	55	0
9	Adrian Kempe (R)		X	X		100.00	66	75	72	72	57	53	60	56	73	34	35	62	50	44	44	0	84	54	0
10	Brian Ferlin			X		100.00	61	76	63	63	58	60	61	58	76	34	35	60	50	44	44	0	69	53	0
11	Mario Lucia (R)		X			100.00	73	73	75	61	56	64	63	54	65	28	33	55	50	50	50	0	42	53	0
12	Justin Vaive		X			100.00	65	78	63	62	59	66	64	55	66	28	34	58	50	44	44	0	67	52	0
13	Derek Forbort				X	100.00	65	88	69	77	79	55	76	64	25	39	40	70	50	59	59	0	85	62	0
14	Michal Jordan				X	100.00	67	43	85	78	69	69	74	64	25	38	39	72	50	53	53	0	72	61	0
15	Michael Kostka				X	100.00	64	42	87	67	73	69	83	57	25	39	37	71	90	55	56	0	81	60	0
16	Matt Taormina				X	100.00	70	65	89	71	66	85	84	52	25	40	36	61	50	50	50	0	81	60	0
17	Gustav Olofsson (R)				X	100.00	61	74	69	74	60	60	64	60	25	33	29	63	50	55	55	0	65	55	0
18	Rasmus Rissanen				X	100.00	60	80	66	73	63	66	69	58	25	29	29	59	50	47	47	0	74	54	0
Rayé
1	Emile Poirier (R)		X	X		100.00	58	69	60	68	53	66	63	57	69	33	35	56	50	44	44	0	57	52	0
2	Brennan Evans				X	100.00	60	83	66	59	64	63	67	53	25	24	26	59	50	47	47	0	42	51	0

	MOYENNE D'ÉQUIPE					100.00	65	69	69	69	61	64	69	60	53	36	36	62	53	52	52	0	69	56

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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	Michael Hutchinson	100.00	69	76	86	79	68	84	69	70	72	83	50	72	66	0	80	72	0
2	Michael Leighton	100.00	73	86	79	77	80	71	65	69	64	75	54	55	55	0	81	69	0
Rayé
1	Patrick Killeen	100.00	60	50	56	86	72	65	61	60	60	63	71	47	63	0	19	63	0

	MOYENNE D'ÉQUIPE	100.00	67	71	74	81	73	73	65	66	65	74	58	58	61	0	60	68

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bill Peters	92	77	73	88	73	72	70	CAN	50	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

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#	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	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSS
1	Michal Jordan	Checkers (CAR)		D	7	2	5	7	-7	4	0	15	24	13	5	8.33%	32	26.:.50	0	1	1	0	3	3	17	1	0	0.00%	0	10	18	0	0	0.74	0
2	Austin Watson	Checkers (CAR)		C/RW	7	2	5	7	-3	2	0	17	23	5	19	8.70%	6	20.:.17	0	1	1	2	1	3	13	0	0	48.75%	80	24	5	0	0	0.99	0
3	Michael Kostka	Checkers (CAR)		D	7	0	6	6	1	0	0	3	24	6	7	0.00%	20	21.:.42	0	3	3	0	1	1	12	0	0	0.00%	0	5	15	0	0	0.79	0
4	Matt Taormina	Checkers (CAR)		D	7	2	2	4	0	0	0	4	9	4	4	22.22%	12	23.:.15	0	1	1	1	0	1	12	0	0	0.00%	0	2	7	0	0	0.49	0
5	Dustin Jeffrey	Checkers (CAR)		C/LW	6	2	2	4	-4	0	0	14	22	4	7	9.09%	4	21.:.48	0	1	1	1	0	1	20	1	0	50.82%	122	2	11	0	0	0.61	0
6	Eric O'Dell	Checkers (CAR)		C	7	4	0	4	-5	8	0	17	30	8	27	13.33%	3	17.:.34	3	0	3	0	0	0	4	0	1	52.48%	101	13	5	0	1	0.65	0
7	Corey Tropp	Checkers (CAR)		LW/RW	7	1	2	3	-5	2	0	7	15	5	14	6.67%	1	18.:.00	1	2	3	0	0	0	0	0	0	80.00%	5	17	2	0	0	0.48	0
8	Chris Bourque	Checkers (CAR)		LW	7	3	0	3	-1	4	0	8	20	7	16	15.00%	2	15.:.03	0	0	0	0	0	0	0	0	0	40.00%	5	21	3	0	0	0.57	0
9	John Albert	Checkers (CAR)		C	7	0	3	3	3	0	0	12	11	6	8	0.00%	4	16.:.21	0	0	0	0	1	1	7	0	0	58.97%	78	2	1	0	0	0.52	0
10	Bobby Farnham	Checkers (CAR)		LW/RW	7	2	1	3	-5	86	50	18	15	11	15	13.33%	1	16.:.14	1	1	2	0	0	0	3	1	0	60.00%	5	13	2	0	0	0.53	0
11	Erik Condra	Checkers (CAR)		LW/RW	4	1	2	3	-3	0	0	8	14	8	12	7.14%	2	21.:.16	1	1	2	0	1	1	13	0	0	54.17%	24	13	3	0	0	0.71	1
12	Derek Forbort	Checkers (CAR)		D	7	0	2	2	-7	63	25	6	10	14	11	0.00%	25	22.:.55	0	0	0	0	0	0	12	0	0	0.00%	0	12	13	0	0	0.25	0
13	Brian Ferlin	Checkers (CAR)		RW	7	0	1	1	-1	5	5	10	8	5	4	0.00%	3	11.:.36	0	0	0	0	0	0	0	0	0	0.00%	1	2	4	0	0	0.25	0
14	Adrian Kempe	Checkers (CAR)		LW/RW	7	0	1	1	-1	15	15	11	7	4	4	0.00%	3	15.:.17	0	0	0	0	0	0	0	0	0	33.33%	3	8	5	0	0	0.19	0
15	Gustav Olofsson	Checkers (CAR)		D	7	0	1	1	-3	0	0	5	6	3	7	0.00%	6	16.:.35	0	0	0	0	0	0	0	0	0	0.00%	0	2	8	0	0	0.17	0
16	Justin Vaive	Checkers (CAR)		LW	5	0	0	0	0	0	0	3	4	1	3	0.00%	2	07.:.43	0	0	0	0	0	0	0	0	0	50.00%	4	1	3	0	0	0.00	0
17	Rasmus Rissanen	Checkers (CAR)		D	7	0	0	0	0	37	35	7	7	3	4	0.00%	8	14.:.55	0	0	0	0	0	0	7	0	0	0.00%	0	2	1	0	0	0.00	0
18	Emile Poirier	Checkers (CAR)		LW/RW	6	0	0	0	0	5	5	7	5	3	9	0.00%	1	10.:.19	0	0	0	0	0	0	0	0	0	33.33%	3	8	1	0	0	0.00	0
19	Mario Lucia	Checkers (CAR)		LW	7	0	0	0	-3	0	0	5	5	1	6	0.00%	0	08.:.55	0	0	0	0	0	0	0	0	0	100.00%	1	1	0	0	0	0.00	0
Stats d'équipe Total ou en Moyenne			126	19	33	52	-44	231	135	177	166	259	111	182	7.34%	135	2175	17.27	6	11	17	32	178	4	7	11	8	126	3	1	52.55%	432	158	107	1	0.48	0	1	13	6	8	2	2	4

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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

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#	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	Michael Hutchinson	Checkers (CAR)	7	3	4	0	90.4%	3.54	441	0	0	26	270	153	0	0	0.0%	0	7	0	1	0	0
Stats d'équipe Total ou en Moyenne		7	3	4	0	0.904	3.54	441	0	0	26	270	153	0	0	0.000	0	7	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	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
Adrian Kempe	Checkers (CAR)	LW/RW	20	13.9.1996	Yes	203 Lbs	6 ft2	No	No	9	Contrat d'Entrée	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Austin Watson	Checkers (CAR)	C/RW	25	13.1.1992 4:27:35	No	193 Lbs	6 ft4	No	No	2	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$									Lien
Bobby Farnham	Checkers (CAR)	LW/RW	28	21.1.1989	No	190 Lbs	5 ft10	No	No	1	Sans Restriction	Pro & Farm	800,000$										Lien
Brennan Evans	Checkers (CAR)	D	35	6.1.1982	No	223 Lbs	6 ft4	No	No	5	Sans Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$						Lien
Brian Ferlin	Checkers (CAR)	RW	24	3.6.1992 0:52:08	No	209 Lbs	6 ft2	No	No	1	Avec Restriction	Pro & Farm	900,000$										Lien
Chris Bourque	Checkers (CAR)	LW	31	29.1.1986	No	174 Lbs	5 ft8	No	No	1	Sans Restriction	Pro & Farm	700,000$										Lien
Corey Tropp	Checkers (CAR)	LW/RW	27	25.7.1989	Yes	185 Lbs	6 ft0	No	No	2	Sans Restriction	Pro & Farm	900,000$	900,000$									Lien
Derek Forbort	Checkers (CAR)	D	25	4.3.1992 2:35:10	No	212 Lbs	6 ft4	No	No	1	Avec Restriction	Pro & Farm	1,300,000$										Lien
Dustin Jeffrey	Checkers (CAR)	C/LW	29	27.2.1988	No	205 Lbs	6 ft1	No	No	1	Sans Restriction	Pro & Farm	800,000$										Lien
Emile Poirier	Checkers (CAR)	LW/RW	22	14.12.1994 0:53:48	Yes	185 Lbs	6 ft1	No	No	2	Contrat d'Entrée	Pro & Farm	800,000$	800,000$									Lien
Eric O'Dell	Checkers (CAR)	C	25	21.6.1991 18:51:31	No	185 Lbs	6 ft0	No	No	2	Avec Restriction	Pro & Farm	700,000$	700,000$									Lien
Erik Condra	Checkers (CAR)	LW/RW	30	6.8.1986	No	190 Lbs	6 ft0	No	No	2	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$									Lien
Gustav Olofsson	Checkers (CAR)	D	22	30.11.1994	Yes	191 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
John Albert	Checkers (CAR)	C	28	19.1.1989 5:01:18	No	190 Lbs	5 ft11	No	No	2	Sans Restriction	Pro & Farm	900,000$	900,000$									Lien
Justin Vaive	Checkers (CAR)	LW	27	8.7.1989 23:57:27	No	209 Lbs	6 ft4	No	No	6	Sans Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Mario Lucia	Checkers (CAR)	LW	23	25.8.1993 23:56:43	Yes	205 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$
Matt Taormina	Checkers (CAR)	D	30	20.10.1986	No	182 Lbs	5 ft10	No	No	2	Sans Restriction	Pro & Farm	800,000$	800,000$									Lien
Michael Hutchinson (Contrat à 1 Volet)	Checkers (CAR)	G	27	2.3.1990	No	202 Lbs	6 ft3	No	No	2	Sans Restriction	Pro & Farm	1,700,000$	1,700,000$									Lien
Michael Kostka	Checkers (CAR)	D	31	28.11.1985	No	210 Lbs	6 ft1	No	No	2	Sans Restriction	Pro & Farm	1,100,000$	1,100,000$									Lien
Michael Leighton	Checkers (CAR)	G	36	19.1.1981	No	186 Lbs	6 ft3	No	No	1	Sans Restriction	Pro & Farm	700,000$										Lien
Michal Jordan	Checkers (CAR)	D	26	17.7.1990	No	195 Lbs	6 ft1	No	No	1	Avec Restriction	Pro & Farm	1,500,000$										Lien
Patrick Killeen	Checkers (CAR)	G	27	15.4.1990 15:04:03	No	205 Lbs	6 ft4	No	No	5	Sans Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$
Rasmus Rissanen	Checkers (CAR)	D	25	13.7.1991 9:01:01	No	217 Lbs	6 ft3	No	No	1	Avec Restriction	Pro & Farm	900,000$										Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	27.09	198 Lbs	6 ft2	3.09	743,478$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Erik Condra	Dustin Jeffrey	Austin Watson	40	1	2	2
2	Bobby Farnham	Eric O'Dell	Corey Tropp	30	1	2	2
3	Chris Bourque	John Albert	Adrian Kempe	20	1	2	2
4	Mario Lucia	Erik Condra	Brian Ferlin	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Derek Forbort	Michal Jordan	40	1	2	2
2	Matt Taormina	Michael Kostka	30	1	2	2
3	Gustav Olofsson	Rasmus Rissanen	20	1	2	2
4	Derek Forbort	Michal Jordan	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Erik Condra	Dustin Jeffrey	Austin Watson	60	1	2	2
2	Bobby Farnham	Eric O'Dell	Corey Tropp	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Derek Forbort	Michal Jordan	60	1	2	2
2	Matt Taormina	Michael Kostka	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Erik Condra	Dustin Jeffrey	60	1	2	2
2	Austin Watson	Bobby Farnham	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Derek Forbort	Michal Jordan	60	1	2	2
2	Matt Taormina	Michael Kostka	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Erik Condra	60	1	2	2	Derek Forbort	Michal Jordan	60	1	2	2
2	Dustin Jeffrey	40	1	2	2	Matt Taormina	Michael Kostka	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Erik Condra	Dustin Jeffrey	60	1	2	2
2	Austin Watson	Bobby Farnham	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Derek Forbort	Michal Jordan	60	1	2	2
2	Matt Taormina	Michael Kostka	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Erik Condra	Dustin Jeffrey	Austin Watson	Derek Forbort	Michal Jordan

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Erik Condra	Dustin Jeffrey	Austin Watson	Derek Forbort	Michal Jordan

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Justin Vaive, Chris Bourque, John Albert	Justin Vaive, Chris Bourque	John Albert

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Gustav Olofsson, Rasmus Rissanen, Matt Taormina	Gustav Olofsson	Rasmus Rissanen, Matt Taormina

Tirs de Pénalité
Erik Condra, Dustin Jeffrey, Austin Watson, Bobby Farnham, Corey Tropp

Gardien
#1 : Michael Hutchinson, #2 : Michael Leighton

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

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#	VS Équipe	GP	W	L	GF	GA	Diff	P	PCT	G	A	TP	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	Senators	7	3	4	19	26	-7	6	0.429	19	33	52	7	8	3	1	259	98	79	72	10	270	135	231	177	22	6	27.27%	19	5	73.68%	4	88	164	53.66%	89	171	52.05%	50	97	51.55%	157	94	169	59	114	58
	Vs Division	7	3	4	19	26	-7	6	0.429	19	33	52	7	8	3	1	259	98	79	72	10	270	135	231	177	22	6	27.27%	19	5	73.68%	4	88	164	53.66%	89	171	52.05%	50	97	51.55%	157	94	169	59	114	58
	Vs Conference	7	3	4	19	26	-7	6	0.429	19	33	52	7	8	3	1	259	98	79	72	10	270	135	231	177	22	6	27.27%	19	5	73.68%	4	88	164	53.66%	89	171	52.05%	50	97	51.55%	157	94	169	59	114	58
	Since Last GM Reset	7	3	4	19	26	-7	6	0.429	19	33	52	7	8	3	1	259	98	79	72	10	270	135	231	177	22	6	27.27%	19	5	73.68%	4	88	164	53.66%	89	171	52.05%	50	97	51.55%	157	94	169	59	114	58
	Total	7	3	4	19	26	-7	6	0.429	19	33	52	7	8	3	1	259	98	79	72	10	270	135	231	177	22	6	27.27%	19	5	73.68%	4	88	164	53.66%	89	171	52.05%	50	97	51.55%	157	94	169	59	114	58

			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
7	6	L2	19	33	52	259	270	135	231	177	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	19	26

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	10	12

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	9	14

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	4	1	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
22	6	27.27%	19	5	73.68%	4

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
98	79	72	10	7	8	3	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
88	164	53.66%	89	171	52.05%	50	97	51.55%

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
157	94	169	59	114	58

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

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Date	Matchup		Result	Detail
Tue, Jun 30	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-Playoffs/ScheduleSub.php on line 29	@	Senators5,Checkers3	RECAP
Thu, Jul 2	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-Playoffs/ScheduleSub.php on line 29	@	Senators1,Checkers2 (OT)	RECAP
Sat, Jul 4	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-Playoffs/ScheduleSub.php on line 29	@	Checkers2,Senators4	RECAP
Mon, Jul 6	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-Playoffs/ScheduleSub.php on line 29	@	Checkers4,Senators3	RECAP
Wed, Jul 8	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-Playoffs/ScheduleSub.php on line 29	@	Senators3,Checkers4	RECAP
Fri, Jul 10	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-Playoffs/ScheduleSub.php on line 29	@	Checkers3,Senators7	RECAP
Sun, Jul 12	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-Playoffs/ScheduleSub.php on line 29	@	Senators3,Checkers1	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
37	0 - 0.00%	0$	0$	3000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,540,000$	780,000$	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