Association Québécoise de Hockey Simulé

Association Québécoise de Hockey Simulé - Saguenéens

Saguenéens

GP: 17 | W: 6 | L: 7 | OTL: 4 | P: 16
GF: 53 | GA: 53 | PP%: 21.05% | PK%: 81.63%
DG: Nicolas Gagnon | Morale : 90 | Moyenne d'Équipe : 60
Prochain matchs #274 vs Predateurs

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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 Johansen	X				100.00	66	45	79	82	81	79	66	66	89	64	68	56	86	90	83	0	90	69	0
2	Mason Marchment		X			100.00	75	51	63	82	79	79	82	64	30	63	64	59	69	87	80	0	90	67	0
3	Matt Martin		X			100.00	99	66	74	76	82	56	98	55	30	52	57	61	66	93	81	0	90	64	0
4	Michael Eyssimont (R)	X				100.00	91	54	63	82	56	61	65	56	30	55	58	67	67	86	75	0	90	62	0
5	Jordan Greenway		X			100.00	85	45	84	74	93	68	75	52	30	47	58	62	66	86	77	0	90	62	0
6	Andrew Agozzino	X				100.00	59	45	95	79	55	82	40	51	30	48	54	72	65	92	85	0	90	60	0
7	Tanner Laczynski (R)	X				100.00	67	45	93	78	63	50	40	50	82	45	55	64	65	85	72	0	90	59	0
8	Jonny Brodzinski	X				100.00	56	45	84	75	72	50	40	49	83	44	54	62	50	89	76	0	90	59	0
9	Ben Meyers		X			100.00	60	45	91	78	61	50	47	49	81	40	58	57	50	84	71	0	90	58	0
10	Nathan Smith (R)			X		100.00	52	45	90	79	54	50	40	45	30	40	50	63	50	84	71	0	90	54	0
11	Justin Bailey			X		100.00	50	45	95	74	81	50	40	45	30	40	50	55	50	88	75	0	90	54	0
12	Dominic Toninato			X		100.00	52	45	92	76	70	50	40	47	30	44	50	57	50	89	76	0	90	54	0
13	Jon Merrill				X	100.00	60	45	81	78	69	63	88	52	30	51	53	75	66	91	80	0	90	67	0
14	Nick Blankenburg (R)				X	100.00	85	45	83	88	43	80	43	63	30	63	64	72	69	84	77	0	90	67	0
15	Michael Stone				X	100.00	71	48	75	79	72	55	58	57	30	49	65	69	67	92	80	0	90	66	0
16	Gavin Bayreuther (A)				X	100.00	70	48	83	82	61	66	62	57	30	59	55	70	67	88	78	0	90	66	0
17	Chase Priskie (R)				X	100.00	50	45	95	78	53	50	40	45	30	40	50	55	50	87	74	0	90	56	0
Rayé
1	Fredrik Olofsson		X			100.00	72	45	93	78	65	51	40	51	30	49	53	55	65	86	73	0	90	56	0
2	Luke Philp	X				100.00	50	45	92	78	52	58	40	47	30	44	50	62	50	87	76	0	90	55	0
3	Gabriel Landeskog		X			100.00	50	45	95	74	76	50	40	45	30	40	50	55	50	91	78	0	90	54	0
4	Alexander Chmelevski			X		100.00	50	45	95	77	60	50	40	45	30	40	50	55	50	84	71	0	90	53	0
5	Mitchell Chaffee (R)			X		100.00	50	45	95	76	69	50	40	45	30	40	50	55	50	85	72	0	90	53	0
6	Chase De Leo	X				100.00	50	45	95	78	53	50	40	45	30	40	50	55	50	88	75	0	90	53	0
7	Rocco Grimaldi		X			100.00	50	45	95	78	44	50	40	45	30	40	50	55	50	90	77	0	90	52	0

	MOYENNE D'ÉQUIPE					100.00	63	47	87	78	65	58	52	51	39	47	55	61	59	88	76	0	90	59

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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	David Rittich	100.00	75	55	72	89	77	74	75	74	77	72	99	90	81	0	90	67	0
2	Kevin Mandolese (R)	100.00	70	50	76	83	70	70	70	70	70	70	99	82	70	0	90	63	0
Rayé
1	Matthew Murray (R)	100.00	70	50	61	85	70	70	70	70	70	70	70	88	76	0	90	62	0
2	Calvin Pickard	100.00	70	40	40	89	65	65	65	65	65	65	65	89	76	0	90	59	0
3	Josef Korenar (R)	100.00	70	40	40	83	65	65	65	65	65	65	65	84	71	0	90	58	0

	MOYENNE D'ÉQUIPE	100.00	71	47	58	86	69	69	69	69	69	68	80	87	75	0	90	62

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Gerard Gallant	89	96	88	95	94	73	52	CAN	60	4	1,200,000$

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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	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	PSS	FW	FL	FT	S1	S2	S3
1	Andrew Agozzino	Saguenéens (CHI)	C	17	4	13	17	6	0	0	22	24	44	14	29	9.09%	4	305	17.96	0	1	1	1	15	0	10	2	1	41.18%	204	12	11	1.11	0	0	0	0	0	2	1
2	Mason Marchment	Saguenéens (CHI)	LW	13	6	10	16	-3	12	0	30	16	58	17	42	10.34%	6	285	21.99	1	2	3	8	26	0	24	0	0	45.10%	51	24	10	1.12	2	0	0	0	1	0	1
3	Michael Eyssimont	Saguenéens (CHI)	C	17	3	12	15	-2	12	0	44	23	67	28	43	4.48%	6	306	18.04	0	4	4	11	29	0	12	0	0	43.75%	320	15	6	0.98	0	0	0	0	1	1	0
4	Ryan Johansen	Saguenéens (CHI)	C	6	6	6	12	5	2	0	6	13	23	5	10	26.09%	1	132	22.16	1	0	1	3	11	0	12	0	0	65.41%	133	14	1	1.80	1	0	0	0	1	1	0
5	Jordan Greenway	Saguenéens (CHI)	LW	17	7	3	10	0	8	0	37	17	44	20	25	15.91%	3	265	15.61	0	0	0	0	0	0	23	0	0	29.17%	24	9	9	0.75	1	0	0	0	1	0	2
6	Justin Bailey	Saguenéens (CHI)	RW	17	4	4	8	9	5	5	14	24	14	2	12	28.57%	4	285	16.78	2	0	2	2	26	0	0	0	0	41.67%	12	7	3	0.56	0	0	0	1	0	0	0
7	Jonny Brodzinski	Saguenéens (CHI)	C	17	3	5	8	1	6	0	21	14	37	7	26	8.11%	2	282	16.64	0	0	0	0	4	0	4	0	0	61.97%	142	3	10	0.57	0	0	0	0	0	1	0
8	Jon Merrill	Saguenéens (CHI)	D	9	1	5	6	4	6	0	7	19	14	5	3	7.14%	10	221	24.60	0	0	0	1	17	0	23	0	0	0.00%	0	6	11	0.54	0	0	0	0	0	0	0
9	Matt Martin	Saguenéens (CHI)	LW	13	3	3	6	-2	6	0	23	15	38	6	18	7.89%	6	255	19.64	0	1	1	3	19	0	25	0	0	58.82%	17	5	7	0.47	2	0	0	0	1	0	0
10	Gavin Bayreuther	Saguenéens (CHI)	D	13	0	6	6	4	2	0	15	9	14	10	10	0.00%	14	304	23.46	0	1	1	2	25	1	30	0	0	0.00%	0	6	12	0.39	0	0	0	0	0	0	1
11	Nathan Smith	Saguenéens (CHI)	RW	17	2	3	5	0	0	0	7	16	15	6	6	13.33%	3	247	14.56	0	0	0	0	3	0	0	0	0	60.00%	10	3	10	0.40	0	0	0	0	0	1	0
12	Dominic Toninato	Saguenéens (CHI)	RW	17	3	2	5	-1	10	10	13	17	29	16	24	10.34%	7	284	16.73	2	1	3	4	28	0	0	0	0	40.00%	15	1	6	0.35	0	1	0	1	1	1	0
13	Michael Stone	Saguenéens (CHI)	D	17	0	3	3	2	14	0	22	23	26	8	5	0.00%	20	326	19.22	0	0	0	1	19	0	24	0	0	0.00%	0	11	24	0.18	0	0	0	0	0	0	0
14	Tanner Laczynski	Saguenéens (CHI)	C	12	1	1	2	-7	0	0	11	9	8	4	5	12.50%	6	146	12.21	0	0	0	0	0	0	3	1	0	55.56%	18	4	5	0.27	0	0	0	0	0	1	0
15	Ben Meyers	Saguenéens (CHI)	LW	15	1	0	1	-8	7	5	11	16	9	7	9	11.11%	6	221	14.79	0	0	0	0	0	0	8	1	0	0.00%	0	6	9	0.09	0	0	1	0	0	0	0
16	Mitchell Chaffee	Saguenéens (CHI)	RW	2	1	0	1	1	0	0	1	1	2	0	0	50.00%	0	22	11.15	0	0	0	0	0	0	0	0	0	0.00%	1	0	0	0.90	0	0	0	0	0	0	0
17	Chase Priskie	Saguenéens (CHI)	D	16	1	0	1	0	0	0	6	13	11	2	1	9.09%	15	264	16.51	1	0	1	2	11	0	16	0	0	0.00%	0	2	10	0.08	0	0	0	0	0	0	1
18	Nick Blankenburg	Saguenéens (CHI)	D	5	0	1	1	1	0	0	7	12	11	5	9	0.00%	4	132	26.55	0	0	0	2	10	1	12	0	0	0.00%	0	6	3	0.15	0	0	0	0	0	0	0
19	Gabriel Landeskog	Saguenéens (CHI)	LW	2	0	0	0	1	0	0	1	3	1	0	2	0.00%	0	17	8.87	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0.00	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				242	46	77	123	11	90	20	298	284	465	162	279	9.89%	117	4309	17.81	7	10	17	40	250	2	232	4	1	49.26%	948	134	147	0.57	6	1	1	2	6	8	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	GA	SA	SAR	PS %	PSA	ST	BG	S2	S3
1	David Rittich	Saguenéens (CHI)	12	4	4	4	0.915	2.80	730	2	34	402	187	0.600	5	12	0	2	1
2	Kevin Mandolese	Saguenéens (CHI)	5	2	3	0	0.888	3.42	298	0	17	152	71	0.000	0	5	17	0	0
Stats d'équipe Total ou en Moyenne			17	6	7	4	0.908	2.98	1028	2	51	554	258	0.600	5	17	17	2	1

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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	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial
Alexander Chmelevski	Saguenéens (CHI)	RW	24	1999-06-09	No	188 Lbs	6 ft0	No	No	No	3	Avec Restriction	Pro & Farm	750,000$	0$	0$	No
Andrew Agozzino	Saguenéens (CHI)	C	32	1991-01-03	No	187 Lbs	5 ft10	No	No	No	3	Sans Restriction	Pro & Farm	750,000$	0$	0$	No
Ben Meyers	Saguenéens (CHI)	LW	24	1998-11-15	No	194 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	950,000$	0$	0$	No
Calvin Pickard	Saguenéens (CHI)	G	31	1992-04-15	No	210 Lbs	6 ft1	No	No	No	5	Sans Restriction	Pro & Farm	1,385,000$	0$	0$	No
Chase De Leo	Saguenéens (CHI)	C	27	1995-10-25	No	185 Lbs	5 ft9	No	No	No	3	Avec Restriction	Pro & Farm	926,000$	0$	0$	No
Chase Priskie	Saguenéens (CHI)	D	27	1996-03-19	Yes	185 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	750,000$	0$	0$	No
David Rittich	Saguenéens (CHI)	G	31	1992-08-19	No	205 Lbs	6 ft4	No	No	No	3	Sans Restriction	Pro & Farm	1,500,000$	0$	0$	No
Dominic Toninato	Saguenéens (CHI)	RW	29	1994-03-09	No	201 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	825,000$	0$	0$	No
Fredrik Olofsson	Saguenéens (CHI)	LW	27	1996-05-27	No	190 Lbs	6 ft2	No	No	No	4	Avec Restriction	Pro & Farm	775,000$	0$	0$	No
Gabriel Landeskog	Saguenéens (CHI)	LW	30	1992-11-23	No	215 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	8,000,000$	0$	0$	No
Gavin Bayreuther	Saguenéens (CHI)	D	29	1994-05-12	No	196 Lbs	6 ft1	No	No	No	4	Sans Restriction	Pro & Farm	950,000$	0$	0$	No
Jon Merrill	Saguenéens (CHI)	D	31	1992-02-03	No	204 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	1,025,000$	0$	0$	No
Jonny Brodzinski	Saguenéens (CHI)	C	30	1993-06-19	No	212 Lbs	6 ft0	No	No	No	5	Sans Restriction	Pro & Farm	950,000$	0$	0$	No
Jordan Greenway	Saguenéens (CHI)	LW	26	1997-02-16	No	231 Lbs	6 ft6	No	No	No	4	Avec Restriction	Pro & Farm	1,250,000$	0$	0$	No
Josef Korenar	Saguenéens (CHI)	G	25	1998-01-31	Yes	185 Lbs	6 ft1	No	No	No	3	Avec Restriction	Pro & Farm	750,000$	0$	0$	No
Justin Bailey	Saguenéens (CHI)	RW	28	1995-07-01	No	214 Lbs	6 ft4	No	No	No	3	Sans Restriction	Pro & Farm	900,000$	0$	0$	No
Kevin Mandolese	Saguenéens (CHI)	G	23	2000-08-22	Yes	180 Lbs	6 ft4	No	No	No	4	Avec Restriction	Pro & Farm	775,000$	0$	0$	No
Luke Philp	Saguenéens (CHI)	C	27	1995-11-06	No	181 Lbs	5 ft10	No	No	No	4	Avec Restriction	Pro & Farm	775,000$	0$	0$	No
Mason Marchment	Saguenéens (CHI)	LW	28	1995-06-18	No	210 Lbs	6 ft4	No	No	No	3	Sans Restriction	Pro & Farm	3,750,000$	0$	0$	No
Matt Martin	Saguenéens (CHI)	LW	34	1989-05-08	No	220 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	1,025,000$	0$	0$	No
Matthew Murray	Saguenéens (CHI)	G	25	1998-02-02	Yes	200 Lbs	6 ft1	No	No	No	4	Avec Restriction	Pro & Farm	775,000$	0$	0$	No
Michael Eyssimont	Saguenéens (CHI)	C	27	1996-09-09	Yes	180 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	850,000$	0$	0$	No
Michael Stone	Saguenéens (CHI)	D	33	1990-06-07	No	210 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	950,000$	0$	0$	No
Mitchell Chaffee	Saguenéens (CHI)	RW	25	1998-01-26	Yes	201 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	800,000$	0$	0$	No
Nathan Smith	Saguenéens (CHI)	RW	24	1998-10-19	Yes	177 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	800,000$	0$	0$	No
Nick Blankenburg	Saguenéens (CHI)	D	25	1998-05-12	Yes	177 Lbs	5 ft9	No	No	No	5	Avec Restriction	Pro & Farm	950,000$	0$	0$	No
Rocco Grimaldi	Saguenéens (CHI)	LW	30	1993-02-08	No	180 Lbs	5 ft6	No	No	No	3	Sans Restriction	Pro & Farm	982,000$	0$	0$	No
Ryan Johansen	Saguenéens (CHI)	C	31	1992-07-31	No	218 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	1,025,000$	0$	0$	No
Tanner Laczynski	Saguenéens (CHI)	C	26	1997-06-01	Yes	190 Lbs	6 ft1	No	No	No	3	Avec Restriction	Pro & Farm	950,000$	0$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
29	27.90	197 Lbs	6 ft1	3.07	1,270,448$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Mason Marchment	Ryan Johansen	Justin Bailey	35	1	2	2
2	Matt Martin	Michael Eyssimont	Dominic Toninato	30	1	2	2
3	Jordan Greenway	Andrew Agozzino	Nathan Smith	25	1	2	2
4		Jonny Brodzinski		10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nick Blankenburg	Jon Merrill	35	1	2	2
2	Michael Stone	Gavin Bayreuther	30	1	2	2
3	Chase Priskie	Jonny Brodzinski	25	1	2	2
4	Nick Blankenburg	Jon Merrill	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Mason Marchment	Ryan Johansen	Justin Bailey	55	1	2	2
2	Matt Martin	Michael Eyssimont	Dominic Toninato	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nick Blankenburg	Jon Merrill	55	1	2	2
2	Michael Stone	Gavin Bayreuther	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ryan Johansen	Mason Marchment	55	1	2	2
2	Matt Martin	Jordan Greenway	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nick Blankenburg	Jon Merrill	55	1	2	2
2	Michael Stone	Gavin Bayreuther	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Johansen	55	1	2	2	Nick Blankenburg	Jon Merrill	55	1	2	2
2	Mason Marchment	45	1	2	2	Michael Stone	Gavin Bayreuther	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ryan Johansen	Mason Marchment	55	1	2	2
2	Matt Martin	Jordan Greenway	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nick Blankenburg	Jon Merrill	55	1	2	2
2	Michael Stone	Gavin Bayreuther	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Mason Marchment	Ryan Johansen	Justin Bailey	Nick Blankenburg	Jon Merrill

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Mason Marchment	Ryan Johansen	Justin Bailey	Nick Blankenburg	Jon Merrill

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Andrew Agozzino, Nathan Smith,	Andrew Agozzino, Nathan Smith

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Chase Priskie, Michael Stone, Gavin Bayreuther	Chase Priskie	Michael Stone, Gavin Bayreuther

Tirs de Pénalité
Ryan Johansen, Mason Marchment, Matt Martin, Jordan Greenway, Michael Eyssimont

Gardien
#1 : David Rittich, #2 : Kevin Mandolese

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	Bandits	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	6	2	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	10	16	0	0	9	30	14	0	33	134	212	155	9	36	9	2	28	2	1	50.00%	1	1	0.00%	0	167	343	48.69%	192	378	50.79%	118	242	48.76%	339	181	366	152	324	165
2	Chiwawa	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	3	5	0	0	9	30	14	0	26	134	212	155	9	41	18	8	23	0	0	0.00%	4	1	75.00%	0	167	343	48.69%	192	378	50.79%	118	242	48.76%	339	181	366	152	324	165
3	Outlaws	1	0	1	0	0	0	0	0	0	3	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	3	-3	0	0.000	0	0	0	0	0	9	30	14	0	20	134	212	155	9	39	8	6	12	3	0	0.00%	3	0	100.00%	0	167	343	48.69%	192	378	50.79%	118	242	48.76%	339	181	366	152	324	165
4	Raptors	2	0	1	0	0	0	0	1	6	10	-4	1	0	1	0	0	0	0	0	2	5	-3	1	0	0	0	0	0	0	1	4	5	-1	1	0.250	6	11	17	0	0	9	30	14	0	47	134	212	155	9	80	18	18	50	2	1	50.00%	9	1	88.89%	0	167	343	48.69%	192	378	50.79%	118	242	48.76%	339	181	366	152	324	165
5	Scorpions	2	0	1	0	0	1	0	0	2	6	-4	1	0	1	0	0	0	0	0	1	4	-3	1	0	0	0	0	1	0	0	1	2	-1	1	0.250	2	3	5	0	0	9	30	14	0	59	134	212	155	9	68	15	16	41	5	0	0.00%	8	2	75.00%	0	167	343	48.69%	192	378	50.79%	118	242	48.76%	339	181	366	152	324	165
6	Snowbirds	2	0	2	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	5	8	13	0	0	9	30	14	0	85	134	212	155	9	54	27	14	27	4	1	25.00%	7	2	71.43%	0	167	343	48.69%	192	378	50.79%	118	242	48.76%	339	181	366	152	324	165
7	Spartans	2	2	0	0	0	0	0	0	12	4	8	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	7	2	5	4	1.000	12	18	30	0	0	9	30	14	0	69	134	212	155	9	57	20	18	38	7	3	42.86%	4	0	100.00%	0	167	343	48.69%	192	378	50.79%	118	242	48.76%	339	181	366	152	324	165
8	Supreme	2	0	1	0	0	1	0	0	4	6	-2	1	0	0	0	0	1	0	0	0	1	-1	1	0	1	0	0	0	0	0	4	5	-1	1	0.250	4	6	10	0	0	9	30	14	0	44	134	212	155	9	63	15	6	36	7	1	14.29%	3	0	100.00%	0	167	343	48.69%	192	378	50.79%	118	242	48.76%	339	181	366	152	324	165
9	Thugs	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	6	11	17	0	0	9	30	14	0	54	134	212	155	9	70	10	18	42	6	0	0.00%	4	1	75.00%	0	167	343	48.69%	192	378	50.79%	118	242	48.76%	339	181	366	152	324	165
	Total	17	6	7	0	0	2	0	2	53	53	0	8	4	3	0	0	1	0	0	25	22	3	9	2	4	0	0	1	0	2	28	31	-3	16	0.471	53	87	140	0	0	9	30	14	0	504	134	212	155	9	554	155	123	337	38	8	21.05%	49	9	81.63%	0	167	343	48.69%	192	378	50.79%	118	242	48.76%	339	181	366	152	324	165
11	Warriors	2	2	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	3	2	4	1.000	10	17	27	0	0	9	30	14	0	67	134	212	155	9	46	15	17	40	2	1	50.00%	6	1	83.33%	0	167	343	48.69%	192	378	50.79%	118	242	48.76%	339	181	366	152	324	165
	_Since Last GM Reset	17	6	7	0	0	2	0	2	53	53	0	8	4	3	0	0	1	0	0	25	22	3	9	2	4	0	0	1	0	2	28	31	-3	16	0.471	53	87	140	0	0	9	30	14	0	504	134	212	155	9	554	155	123	337	38	8	21.05%	49	9	81.63%	0	167	343	48.69%	192	378	50.79%	118	242	48.76%	339	181	366	152	324	165
	_Vs Conference	14	3	7	0	0	2	0	2	37	46	-9	6	2	3	0	0	1	0	0	14	18	-4	8	1	4	0	0	1	0	2	23	28	-5	10	0.357	37	60	97	0	0	9	30	14	0	404	134	212	155	9	472	131	104	269	34	6	17.65%	42	7	83.33%	0	167	343	48.69%	192	378	50.79%	118	242	48.76%	339	181	366	152	324	165
	_Vs Division	13	3	6	0	0	2	0	2	37	43	-6	6	2	3	0	0	1	0	0	14	18	-4	7	1	3	0	0	1	0	2	23	25	-2	10	0.385	37	60	97	0	0	9	30	14	0	384	134	212	155	9	433	123	98	257	31	6	19.35%	39	7	82.05%	0	167	343	48.69%	192	378	50.79%	118	242	48.76%	339	181	366	152	324	165

			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
17	16	W1	53	87	140	504	554	155	123	337	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
17	6	7	0	2	0	2	53	53

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	4	3	0	1	0	0	25	22

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	2	4	0	1	0	2	28	31

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	6	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
38	8	21.05%	49	9	81.63%	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
134	212	155	9	9	30	14	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
167	343	48.69%	192	378	50.79%	118	242	48.76%

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
339	181	366	152	324	165

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
2 - 2024-04-07	15	Saguenéens	4	Raptors	5	L	X	X	Sommaire du Match
3 - 2024-04-08	27	Saguenéens	1	Scorpions	2	L	X		Sommaire du Match
4 - 2024-04-09	34	Thugs	2	Saguenéens	3	W			Sommaire du Match
6 - 2024-04-11	58	Warriors	2	Saguenéens	5	W			Sommaire du Match
8 - 2024-04-13	71	Raptors	5	Saguenéens	2	L			Sommaire du Match
9 - 2024-04-14	94	Supreme	1	Saguenéens	0	L	X		Sommaire du Match
10 - 2024-04-15	103	Saguenéens	7	Spartans	2	W			Sommaire du Match
12 - 2024-04-17	124	Saguenéens	2	Chiwawa	3	L	X	X	Sommaire du Match
13 - 2024-04-18	134	Scorpions	4	Saguenéens	1	L			Sommaire du Match
14 - 2024-04-19	145	Saguenéens	3	Thugs	5	L			Sommaire du Match
15 - 2024-04-20	157	Saguenéens	4	Supreme	5	L			Sommaire du Match
17 - 2024-04-22	177	Saguenéens	5	Warriors	3	W			Sommaire du Match
18 - 2024-04-23	185	Spartans	2	Saguenéens	5	W			Sommaire du Match
20 - 2024-04-25	209	Snowbirds	4	Saguenéens	3	L			Sommaire du Match
21 - 2024-04-26	223	Saguenéens	2	Snowbirds	3	L			Sommaire du Match
23 - 2024-04-28	241	Saguenéens	0	Outlaws	3	L			Sommaire du Match
24 - 2024-04-29	248	Bandits	2	Saguenéens	6	W			Sommaire du Match
26 - 2024-05-01	274	Predateurs	-	Saguenéens	-
27 - 2024-05-02	287	Saguenéens	-	Thugs	-
29 - 2024-05-04	302	Xpress	-	Saguenéens	-
30 - 2024-05-05	322	Vipers	-	Saguenéens	-
32 - 2024-05-07	338	Saguenéens	-	Chiwawa	-
33 - 2024-05-08	350	Saguenéens	-	Spartans	-
34 - 2024-05-09	366	Warriors	-	Saguenéens	-
36 - 2024-05-11	383	Saguenéens	-	Scorpions	-
37 - 2024-05-12	397	Outlaws	-	Saguenéens	-
39 - 2024-05-14	413	Saguenéens	-	Warriors	-
40 - 2024-05-15	426	Raptors	-	Saguenéens	-
42 - 2024-05-17	444	Scorpions	-	Saguenéens	-
44 - 2024-05-19	461	Saguenéens	-	TigersCats	-
45 - 2024-05-20	476	Saguenéens	-	CoolFm	-
46 - 2024-05-21	491	Farmers	-	Saguenéens	-
48 - 2024-05-23	511	TigersCats	-	Saguenéens	-
50 - 2024-05-25	530	Smirnoff Ice	-	Saguenéens	-
51 - 2024-05-26	549	Saguenéens	-	Raptors	-
52 - 2024-05-27	562	Twins	-	Saguenéens	-
53 - 2024-05-28	575	Saguenéens	-	Marlies	-
55 - 2024-05-30	592	Saguenéens	-	Supreme	-
57 - 2024-06-01	604	Wolves	-	Saguenéens	-
59 - 2024-06-03	622	Saguenéens	-	Bandits	-
60 - 2024-06-04	635	Marlies	-	Saguenéens	-
62 - 2024-06-06	656	Vandals	-	Saguenéens	-
63 - 2024-06-07	670	Saguenéens	-	Hunters	-
64 - 2024-06-08	685	Rockets	-	Saguenéens	-
66 - 2024-06-10	704	Saguenéens	-	Farmers	-
67 - 2024-06-11	716	Hunters	-	Saguenéens	-
68 - 2024-06-12	726	Saguenéens	-	Igloos	-
70 - 2024-06-14	747	CoolFm	-	Saguenéens	-
71 - 2024-06-15	763	Saguenéens	-	Goons	-
72 - 2024-06-16	779	Igloos	-	Saguenéens	-
73 - 2024-06-17	792	Saguenéens	-	Bayou	-
74 - 2024-06-18	807	Bayou	-	Saguenéens	-
76 - 2024-06-20	825	Saguenéens	-	Vandals	-
77 - 2024-06-21	840	Marmots	-	Saguenéens	-
79 - 2024-06-23	859	Saguenéens	-	Predateurs	-
80 - 2024-06-24	869	Saguenéens	-	Snowbirds	-
81 - 2024-06-25	884	Grizzlies	-	Saguenéens	-
83 - 2024-06-27	894	Saguenéens	-	Husky	-
84 - 2024-06-28	910	Goons	-	Saguenéens	-
86 - 2024-06-30	933	Saguenéens	-	Barracudas	-
88 - 2024-07-02	946	Spartans	-	Saguenéens	-
89 - 2024-07-03	963	Barracudas	-	Saguenéens	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
91 - 2024-07-05	985	Saguenéens	-	Vipers	-
92 - 2024-07-06	997	Snowbirds	-	Saguenéens	-
93 - 2024-07-07	1010	Saguenéens	-	Smirnoff Ice	-
95 - 2024-07-09	1023	Saguenéens	-	Rockets	-
96 - 2024-07-10	1039	Supreme	-	Saguenéens	-
99 - 2024-07-13	1059	Chiwawa	-	Saguenéens	-
100 - 2024-07-14	1072	Saguenéens	-	Grizzlies	-
101 - 2024-07-15	1086	Saguenéens	-	Wolves	-
103 - 2024-07-17	1100	Saguenéens	-	Twins	-
104 - 2024-07-18	1103	Husky	-	Saguenéens	-
105 - 2024-07-19	1112	Saguenéens	-	Marmots	-
107 - 2024-07-21	1136	Chiwawa	-	Saguenéens	-
110 - 2024-07-24	1157	Saguenéens	-	Xpress	-
112 - 2024-07-26	1173	Thugs	-	Saguenéens	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	80	30
Assistance	16,000	8,000
Assistance PCT	100.00%	100.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
30	3000 - 100.00%	228,000$	1,824,000$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,066,995$	3,684,300$	3,595,800$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	801,495$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
6,840,000$	88	43,224$	3,803,712$

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	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
Saison Régulière
45	82	31	30	0	5	5	8	3	300	290	10	41	20	12	0	2	2	3	2	156	135	21	41	11	18	0	3	3	5	1	144	155	-11	96	300	486	786	2	2	50	121	116	17	2500	576	948	951	65	2445	758	457	1385	232	75	32.33%	201	44	78.11%	4	952	1644	57.91%	900	1639	54.91%	786	1313	59.86%	1562	857	2022	693	1399	714
46	82	42	20	0	5	5	5	5	338	263	75	41	21	10	0	2	4	3	1	173	130	43	41	21	10	0	3	1	2	4	165	133	32	114	338	558	896	2	3	69	123	136	16	2596	661	925	986	69	2425	773	630	1304	252	92	36.51%	212	50	76.42%	10	903	1748	51.66%	859	1667	51.53%	656	1297	50.58%	1645	945	1919	701	1416	717
47	17	6	7	0	0	2	0	2	53	53	0	8	4	3	0	0	1	0	0	25	22	3	9	2	4	0	0	1	0	2	28	31	-3	16	53	87	140	0	0	9	30	14	0	504	134	212	155	9	554	155	123	337	38	8	21.05%	49	9	81.63%	0	167	343	48.69%	192	378	50.79%	118	242	48.76%	339	181	366	152	324	165
Total Saison Régulière	181	79	57	0	10	12	13	10	691	606	85	90	45	25	0	4	7	6	3	354	287	67	91	34	32	0	6	5	7	7	337	319	18	226	691	1131	1822	4	5	128	274	266	33	5600	1371	2085	2092	143	5424	1686	1210	3026	522	175	33.52%	462	103	77.71%	14	2022	3735	54.14%	1951	3684	52.96%	1560	2852	54.70%	3548	1983	4308	1547	3140	1598
Séries
45	6	2	4	0	0	0	0	0	24	26	-2	3	1	2	0	0	0	0	0	14	16	-2	3	1	2	0	0	0	0	0	10	10	0	4	24	39	63	0	0	6	8	10	0	166	45	67	52	2	195	67	30	126	17	5	29.41%	15	2	86.67%	0	64	117	54.70%	61	130	46.92%	48	93	51.61%	115	54	119	59	129	67
Total Séries	6	2	4	0	0	0	0	0	24	26	-2	3	1	2	0	0	0	0	0	14	16	-2	3	1	2	0	0	0	0	0	10	10	0	4	24	39	63	0	0	6	8	10	0	166	45	67	52	2	195	67	30	126	17	5	29.41%	15	2	86.67%	0	64	117	54.70%	61	130	46.92%	48	93	51.61%	115	54	119	59	129	67

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