Ligue de Hockey Simulé du Saguenay

Jets
Formation
Points
Informations Joueurs
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Statistiques d'Équipe
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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

#	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	Dwight King		X			100.00	81	31	72	76	80	73	85	73	67	76	75	61	68	63	51	32	33	71	0	26	1	950,000$
2	Iiro Pakarinen (R) (C)			X		100.00	72	34	69	74	69	76	72	74	77	77	73	59	67	61	60	41	36	70	0	24	2	625,000$
3	Jordan Martinook (R) (A)		X			100.00	83	55	72	75	79	72	77	74	60	73	70	65	58	49	47	50	61	70	0	23	2	800,000$
4	Vince Hinostroza (R)			X		100.00	70	30	76	72	73	59	81	73	57	70	74	69	57	44	43	55	44	68	0	21	2	600,000$
5	Frank Vatrano (R)			X		100.00	88	45	65	74	73	61	76	73	57	71	63	65	61	46	46	67	45	67	0	21	2	500,000$
6	Nikolaj Ehlers (R)			X		100.00	59	30	82	70	65	74	74	71	83	86	68	50	62	46	41	70	72	67	0	19	1	500,000$
7	Cedric Paquette (R)	X				100.00	86	64	82	61	77	57	83	72	60	64	64	56	62	45	44	50	44	65	0	22	2	750,000$
8	Nicolas Petan (R)	X				100.00	61	36	78	65	62	69	63	68	80	74	63	52	57	42	42	62	33	64	0	20	2	500,000$
9	Dominik Kahun (R)	X				100.00	50	30	77	62	52	71	69	69	82	79	64	49	55	45	42	68	66	63	0	20	2	500,000$
10	Brendan Perlini (R)		X			100.00	61	22	78	70	73	64	69	62	58	60	79	49	68	42	41	66	34	63	0	19	1	500,000$
11	Oskar Lindblom (R)		X			100.00	66	41	75	63	57	64	63	66	70	60	67	49	66	41	41	68	18	61	0	19	1	500,000$
12	Mitchell Stephens (R)	X				100.00	45	23	87	66	63	74	60	43	66	60	53	57	42	40	40	76	19	57	0	18	2	500,000$
13	Troy Stetcher (R)				X	100.00	61	32	72	86	65	51	73	81	38	86	53	69	47	46	43	61	53	68	0	21	2	500,000$
14	Vladislav Gavrikov (R)				X	100.00	64	45	81	58	65	67	63	63	50	71	57	70	54	44	44	64	44	65	0	20	2	500,000$
15	Ludwig Bystrom (R)				X	100.00	65	23	73	75	65	62	68	72	42	67	51	71	50	44	43	50	66	65	0	21	2	500,000$
16	Matthew Benning (R)				X	100.00	62	22	78	63	61	66	59	58	42	65	54	67	49	43	43	55	22	62	0	21	2	400,000$
17	Alexandre Carrier (R)				X	100.00	45	31	77	73	55	52	66	76	33	68	60	67	43	43	41	71	66	61	0	19	2	500,000$
18	Jesse Graham (R)				X	100.00	53	37	67	75	62	53	64	65	43	64	56	67	44	43	43	50	18	61	0	21	1	600,000$
Rayé
1	Nathan Walker (R) (A)		X			94.96	65	31	68	75	64	74	65	76	68	70	68	58	73	43	46	60	60	66	0	21	1	500,000$
2	Nikolay Goldobin (R)			X		100.00	57	37	78	71	62	61	49	77	58	65	65	62	76	41	41	67	38	64	0	19	1	500,000$
3	Nicklas Jensen (R)			X		100.00	59	51	77	63	64	66	70	69	66	65	63	54	62	44	44	51	18	63	0	22	2	550,000$
4	Mackenzie MacEachern (R)		X			100.00	56	29	68	66	56	66	58	74	66	59	68	50	73	43	43	45	17	61	0	21	1	350,000$
5	Jeremy Bracco (R)			X		100.00	53	30	70	61	49	62	68	68	80	76	63	39	52	40	40	71	17	60	0	18	2	500,000$
6	Colin White (R)	X				100.00	56	24	81	61	66	72	60	46	56	62	44	57	55	40	40	70	20	57	0	18	2	500,000$
7	John Hayden (R)	X				100.00	57	40	76	59	60	66	61	57	65	61	57	47	53	42	42	55	20	57	0	20	1	350,000$
8	Jayce Hawryluk (R)			X		100.00	73	45	57	62	61	50	68	53	42	55	52	52	43	41	41	60	20	54	0	19	1	500,000$
9	David Kase (R)			X		100.00	59	28	57	55	52	54	61	54	57	53	59	41	58	40	40	62	20	53	0	18	2	500,000$
10	Jansen Harkins (R)	X				100.00	45	27	65	50	43	42	47	53	59	51	57	39	37	40	40	62	20	49	0	18	1	350,000$
11	Mirco Mueller (R)				X	94.80	66	22	78	64	68	70	70	66	48	68	56	77	48	44	42	60	17	66	0	20	2	600,000$
12	John Marino (R)				X	100.00	64	43	73	61	58	65	64	63	46	68	57	56	46	40	40	71	17	60	0	18	2	500,000$
13	Sami Niku (R)				X	100.00	50	35	61	73	51	53	72	68	29	67	60	51	31	43	42	64	17	59	0	19	2	500,000$
14	William Lagesson (R)				X	100.00	51	25	71	72	54	49	58	66	24	66	49	59	47	41	41	66	18	58	0	19	1	500,000$
15	Ryan Collins (R)				X	100.00	50	31	60	55	59	54	57	53	40	62	51	56	46	41	41	60	20	54	0	19	1	500,000$

	MOYENNE D'ÉQUIPE					99.69	62	34	73	67	63	63	66	66	57	67	61	57	55	44	43	60	34	62

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Magnus Hellberg	99.00	75	61	71	80	74	66	67	73	73	70	76	60	56	37	66	70	0
2	Joey Daccord (R)	100.00	62	62	62	43	46	70	71	50	48	62	48	42	41	70	19	56	0
Rayé
1	Philippe Desrosiers	100.00	66	45	62	74	70	55	47	59	58	50	70	42	42	59	17	58	0

	MOYENNE D'ÉQUIPE	99.67	68	56	65	66	63	64	62	61	60	61	65	48	46	55	34	61

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Adams Oates	53	56	85	72	37	59	54	CAN	51	3	950,000$

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

#	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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FT	S1	S2	S3
1	Iiro Pakarinen	Moose (Win)	RW	81	22	54	76	-18	56	0	200	97	240	94	163	9.17%	43	1494	18.45	5	11	16	25	242	0	0	0	0	51	3	1	61.54%	104	59	30	0	0	1.02	3	5	0	3	4	2
2	Nikolaj Ehlers	Moose (Win)	RW	69	33	40	73	-4	16	0	75	91	232	83	134	14.22%	23	1340	19.43	9	17	26	32	237	0	0	0	1	17	2	3	53.98%	113	50	13	0	1	1.09	1	2	0	4	5	6
3	Jordan Martinook	Moose (Win)	LW	76	30	25	55	4	37	5	152	87	184	56	115	16.30%	21	1136	14.95	3	3	6	8	76	2	0	2	3	108	5	2	46.60%	103	39	18	1	0	0.97	1	2	0	3	4	4
4	Vince Hinostroza	Moose (Win)	RW	60	27	28	55	2	22	0	114	86	167	36	111	16.17%	30	1162	19.38	6	7	13	18	180	1	0	1	6	70	6	1	41.41%	99	35	21	0	0	0.95	1	1	0	2	2	2
5	Troy Stetcher	Moose (Win)	D	65	8	41	49	-18	33	5	78	122	173	66	56	4.62%	114	1626	25.03	7	15	22	28	259	0	0	0	3	101	0	0	0.00%	0	39	41	0	0	0.60	0	0	1	1	1	1
6	Josh Bailey	Jets	RW	57	22	24	46	-2	14	0	106	54	154	53	93	14.29%	16	861	15.12	4	5	9	22	108	0	1	1	4	72	2	2	40.00%	45	34	16	1	1	1.07	1	3	0	3	1	6
7	Dwight King	Moose (Win)	LW	46	18	24	42	-7	14	0	135	78	114	40	85	15.79%	25	897	19.50	7	5	12	22	139	0	0	0	1	69	3	2	48.51%	134	33	17	0	1	0.94	1	3	0	5	2	1
8	Miro Aaltonen	Jets	C	20	18	23	41	2	4	0	31	45	76	36	50	23.68%	11	414	20.70	7	8	15	15	65	1	0	1	1	27	1	0	51.37%	584	17	8	0	0	1.98	0	0	0	4	0	0
9	Frank Vatrano	Moose (Win)	RW	66	11	29	40	-3	44	0	129	83	149	49	90	7.38%	33	942	14.29	0	2	2	0	63	0	0	0	4	71	1	0	39.56%	91	35	21	0	0	0.85	0	0	0	0	2	1
10	Nathan Walker	Moose (Win)	LW	77	20	18	38	-2	14	0	95	56	162	34	80	12.35%	14	751	9.76	3	1	4	8	79	0	0	0	0	1	2	0	76.92%	13	31	4	0	0	1.01	2	7	0	4	1	2
11	Dominik Kahun	Moose (Win)	C	79	9	28	37	8	12	0	51	95	84	24	56	10.71%	15	1067	13.51	1	6	7	13	117	0	0	0	1	21	1	2	56.13%	955	11	10	0	0	0.69	0	0	0	0	0	1
12	Cedric Paquette	Moose (Win)	C	84	13	22	35	-8	11	5	103	81	107	40	68	12.15%	21	955	11.37	2	2	4	3	24	0	0	0	1	122	0	0	44.13%	571	16	11	0	0	0.73	1	2	1	0	1	2
13	Ludwig Bystrom	Moose (Win)	D	80	5	28	33	3	38	0	95	135	113	36	35	4.42%	89	1696	21.21	1	5	6	14	244	1	1	2	2	126	3	0	0.00%	0	20	48	1	0	0.39	0	0	0	1	2	0
14	Brendan Perlini	Moose (Win)	LW	78	15	16	31	-11	20	0	76	51	108	31	67	13.89%	24	904	11.60	0	2	2	1	44	0	0	0	0	4	0	2	48.39%	31	35	17	0	0	0.69	0	2	0	0	2	2
15	Noel Acciari	Jets	C	19	6	21	27	-2	10	0	35	41	70	17	43	8.57%	8	416	21.93	2	5	7	5	77	0	1	1	2	31	0	0	55.61%	633	14	8	0	0	1.30	1	1	0	0	2	3
16	Mirco Mueller	Moose (Win)	D	66	5	18	23	17	14	0	70	118	59	22	32	8.47%	82	1293	19.60	1	0	1	1	27	0	0	0	3	163	1	1	0.00%	0	11	51	0	0	0.36	0	0	0	1	1	1
17	Vladislav Gavrikov	Moose (Win)	D	78	5	15	20	-14	13	5	76	105	77	28	30	6.49%	86	1690	21.68	2	3	5	9	237	0	1	1	1	149	0	1	0.00%	1	12	50	0	0	0.24	0	0	1	0	2	2
18	Nicolas Petan	Moose (Win)	C	59	11	9	20	-15	16	0	46	56	65	25	24	16.92%	12	762	12.92	1	3	4	5	96	0	0	0	0	5	1	0	56.67%	457	13	8	0	0	0.52	0	0	0	2	0	0
19	Alexandre Carrier	Moose (Win)	D	80	3	16	19	-13	8	0	21	81	72	28	40	4.17%	64	1252	15.66	1	1	2	7	165	0	0	0	0	27	1	0	0.00%	0	18	24	0	0	0.30	0	0	0	0	0	0
20	Nikolay Goldobin	Moose (Win)	RW	56	11	8	19	-8	6	0	33	31	73	17	57	15.07%	8	476	8.51	0	0	0	0	0	0	0	0	1	43	2	0	8.33%	24	15	13	0	0	0.80	1	4	0	2	1	0
21	Matthew Benning	Moose (Win)	D	43	1	6	7	1	16	0	34	39	30	21	12	3.33%	27	670	15.59	0	1	1	0	43	0	0	0	1	51	0	0	0.00%	0	2	20	0	0	0.21	0	0	0	0	0	0
22	John Marino	Moose (Win)	D	38	1	4	5	-8	6	0	31	27	10	3	5	10.00%	14	458	12.06	0	0	0	0	23	0	0	0	0	3	0	0	0.00%	0	2	8	0	0	0.22	0	0	0	0	0	0
23	Robert Hagg	Jets	D	10	1	4	5	9	2	0	7	16	6	0	4	16.67%	9	213	21.35	0	0	0	0	0	0	0	0	0	22	0	0	0.00%	0	2	6	0	0	0.47	0	0	0	0	0	0
24	Jesse Graham	Moose (Win)	D	18	2	2	4	-5	13	5	9	10	12	2	2	16.67%	14	199	11.07	0	0	0	0	0	0	0	0	0	2	0	0	0.00%	0	1	7	0	0	0.40	0	0	0	0	0	0
25	Mitchell Stephens	Moose (Win)	C	21	1	1	2	-3	0	0	3	11	4	2	3	25.00%	6	179	8.54	0	0	0	0	0	0	0	0	0	0	0	0	47.83%	69	0	2	0	0	0.22	0	0	0	0	0	0
26	Jeremy Bracco	Moose (Win)	RW	28	0	1	1	-10	6	0	11	9	16	7	8	0.00%	2	201	7.20	0	0	0	0	4	0	0	0	0	0	0	0	60.00%	5	4	1	0	0	0.10	0	0	0	0	0	0
27	Michael Matheson	Jets	D	4	1	0	1	-7	0	0	2	7	1	0	3	100.00%	6	88	22.24	0	0	0	0	12	0	0	0	0	0	0	0	0.00%	0	1	3	0	0	0.22	0	0	0	0	0	0
28	Nicklas Jensen	Moose (Win)	RW	13	0	0	0	3	0	0	3	2	3	1	1	0.00%	0	19	1.48	0	0	0	0	1	0	0	0	0	3	0	0	50.00%	2	0	0	0	0	0.00	0	0	0	0	0	0
29	Colin White	Moose (Win)	C	12	0	0	0	1	0	0	2	3	1	1	3	0.00%	1	36	3.01	0	0	0	0	0	0	0	0	0	9	0	0	47.37%	19	0	0	0	0	0.00	0	0	0	0	0	0
30	Sami Niku	Moose (Win)	D	7	0	0	0	-2	0	0	4	0	0	0	0	0.00%	0	50	7.15	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0	0	0	0.00	0	0	0	0	0	0
31	Mackenzie MacEachern	Moose (Win)	LW	12	0	0	0	0	0	0	0	0	0	0	1	0.00%	0	8	0.69	0	0	0	0	0	0	0	0	0	7	0	0	33.33%	3	0	0	0	0	0.00	0	0	0	0	0	0
32	Oskar Lindblom	Moose (Win)	LW	17	0	0	0	-8	4	0	8	3	8	1	4	0.00%	0	69	4.07	0	0	0	0	0	0	0	0	0	0	0	0	20.00%	5	1	0	0	0	0.00	0	0	0	0	0	0
33	William Lagesson	Moose (Win)	D	3	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0.46	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1522	299	505	804	-118	449	25	1835	1720	2570	853	1475	11.63%	818	23339	15.33	62	102	164	236	2575	5	4	9	35	1388	34	17	51.88%	4061	551	476	3	3	0.69	13	32	3	35	33	36

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S2	S3
1	Magnus Hellberg	Moose (Win)	50	22	15	4	0.892	3.37	2543	4	143	1321	691	3	2	0.636	22	40	40	3	2
2	Joey Daccord	Moose (Win)	8	2	5	0	0.821	5.77	364	0	35	196	101	0	0	0.000	0	7	16	0	0
3	Philippe Desrosiers	Moose (Win)	2	0	0	0	0.724	14.12	34	0	8	29	16	0	0	0.000	0	2	3	0	0
Stats d'équipe Total ou en Moyenne			60	24	20	4	0.880	3.79	2942	4	186	1546	808	3	2	0.636	22	49	59	3	2

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

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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3
Alexandre Carrier	Moose (Win)	D	19	1996-01-01	Yes	174 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Brendan Perlini	Moose (Win)	LW	19	1996-01-01	Yes	211 Lbs	6 ft3	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Cedric Paquette	Moose (Win)	C	22	1993-01-01	Yes	180 Lbs	6 ft0	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	900,000$
Colin White	Moose (Win)	C	18	1997-01-01	Yes	191 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
David Kase	Moose (Win)	RW	18	1997-01-01	Yes	169 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Dominik Kahun	Moose (Win)	C	20	1995-01-01	Yes	175 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Dwight King	Moose (Win)	LW	26	1989-01-01	No	227 Lbs	6 ft3	No	No	No	1	Pro & Farm	950,000$	0$	0$	No
Frank Vatrano	Moose (Win)	RW	21	1994-01-01	Yes	197 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Iiro Pakarinen	Moose (Win)	RW	24	1991-01-01	Yes	215 Lbs	6 ft1	No	No	No	2	Pro & Farm	625,000$	0$	0$	No	650,000$
Jansen Harkins	Moose (Win)	C	18	1997-01-01	Yes	182 Lbs	6 ft1	No	No	No	1	Farm Only	350,000$	0$	0$	No
Jayce Hawryluk	Moose (Win)	RW	19	1996-01-01	Yes	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Jeremy Bracco	Moose (Win)	RW	18	1997-01-01	Yes	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Jesse Graham	Moose (Win)	D	21	1994-01-01	Yes	170 Lbs	5 ft11	No	No	No	1	Pro & Farm	600,000$	0$	0$	No
Joey Daccord	Moose (Win)	G	19	1996-01-01	Yes	197 Lbs	6 ft2	No	No	No	3	Pro & Farm	500,000$	0$	0$	No	550,000$	600,000$
John Hayden	Moose (Win)	C	20	1995-01-01	Yes	185 Lbs	6 ft3	No	No	No	1	Farm Only	350,000$	0$	0$	No
John Marino	Moose (Win)	D	18	1997-01-01	Yes	181 Lbs	6 ft1	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Jordan Martinook	Moose (Win)	LW	23	1992-01-01	Yes	202 Lbs	5 ft11	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	900,000$
Ludwig Bystrom	Moose (Win)	D	21	1994-01-01	Yes	169 Lbs	6 ft0	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	600,000$
Mackenzie MacEachern	Moose (Win)	LW	21	1994-01-01	Yes	180 Lbs	6 ft2	No	No	No	1	Pro & Farm	350,000$	0$	0$	No
Magnus Hellberg	Moose (Win)	G	24	1991-01-01	No	185 Lbs	6 ft5	No	No	No	1	Pro & Farm	750,000$	0$	0$	No
Matthew Benning	Moose (Win)	D	21	1994-01-01	Yes	180 Lbs	6 ft0	No	No	No	2	Pro & Farm	400,000$	0$	0$	No	400,000$
Mirco Mueller (Sur la Masse Salariale)	Moose (Win)	D	20	1995-01-01	Yes	185 Lbs	6 ft4	No	No	No	2	Pro & Farm	600,000$	0$	0$	Yes	700,000$
Mitchell Stephens	Moose (Win)	C	18	1997-01-01	Yes	193 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Nathan Walker	Moose (Win)	LW	21	1994-01-01	Yes	186 Lbs	5 ft9	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Nicklas Jensen	Moose (Win)	RW	22	1993-01-01	Yes	186 Lbs	6 ft3	No	No	No	2	Pro & Farm	550,000$	0$	0$	No	550,000$
Nicolas Petan	Moose (Win)	C	20	1995-01-01	Yes	185 Lbs	5 ft9	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	525,000$
Nikolaj Ehlers	Moose (Win)	RW	19	1996-01-01	Yes	172 Lbs	6 ft0	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Nikolay Goldobin	Moose (Win)	RW	19	1996-01-01	Yes	196 Lbs	5 ft11	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Oskar Lindblom	Moose (Win)	LW	19	1996-01-01	Yes	191 Lbs	6 ft1	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Philippe Desrosiers	Moose (Win)	G	20	1995-01-01	No	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	400,000$	0$	0$	No
Ryan Collins	Moose (Win)	D	19	1996-01-01	Yes	204 Lbs	6 ft5	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Sami Niku	Moose (Win)	D	19	1996-01-01	Yes	176 Lbs	6 ft1	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Troy Stetcher	Moose (Win)	D	21	1994-01-01	Yes	186 Lbs	5 ft10	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Vince Hinostroza	Moose (Win)	RW	21	1994-01-01	Yes	158 Lbs	5 ft9	No	No	No	2	Pro & Farm	600,000$	0$	0$	No	750,000$
Vladislav Gavrikov	Moose (Win)	D	20	1995-01-01	Yes	213 Lbs	6 ft3	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
William Lagesson	Moose (Win)	D	19	1996-01-01	Yes	207 Lbs	6 ft2	No	No	No	1	Pro & Farm	500,000$	0$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
36	20.19	188 Lbs	6 ft1	1.61	529,861$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Dwight King	Dominik Kahun	Nikolaj Ehlers	40	1	2	2
2	Jordan Martinook	Nicolas Petan	Vince Hinostroza	30	1	2	2
3	Brendan Perlini	Cedric Paquette	Iiro Pakarinen	20	1	2	2
4	Oskar Lindblom	Mitchell Stephens	Frank Vatrano	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Vladislav Gavrikov	Troy Stetcher	40	1	2	2
2	Matthew Benning	Ludwig Bystrom	35	1	2	2
3	Alexandre Carrier	Jesse Graham	25	1	2	2
4	Troy Stetcher	Matthew Benning	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jordan Martinook	Dominik Kahun	Nikolaj Ehlers	60	0	1	4
2	Dwight King	Nicolas Petan	Vince Hinostroza	40	0	1	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ludwig Bystrom	Troy Stetcher	60	0	1	4
2	Vladislav Gavrikov	Alexandre Carrier	40	0	1	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Cedric Paquette	Vince Hinostroza	60	1	3	1
2	Jordan Martinook	Frank Vatrano	40	1	3	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matthew Benning	Ludwig Bystrom	60	1	4	0
2	Vladislav Gavrikov	Troy Stetcher	40	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Frank Vatrano	60	0	4	1	Matthew Benning	Vladislav Gavrikov	60	1	3	1
2	Vince Hinostroza	40	0	4	1	Troy Stetcher	Ludwig Bystrom	40	1	3	1

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Dominik Kahun	Nikolaj Ehlers	60	1	2	2
2	Cedric Paquette	Vince Hinostroza	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Troy Stetcher	Ludwig Bystrom	60	1	2	2
2	Matthew Benning	Vladislav Gavrikov	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Dwight King	Dominik Kahun	Iiro Pakarinen	Ludwig Bystrom	Troy Stetcher

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jordan Martinook	Cedric Paquette	Vince Hinostroza	Vladislav Gavrikov	Troy Stetcher

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jordan Martinook, Iiro Pakarinen, Vince Hinostroza	Iiro Pakarinen, Brendan Perlini	Dwight King

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Alexandre Carrier, Vladislav Gavrikov, Ludwig Bystrom	Alexandre Carrier	Ludwig Bystrom, Vladislav Gavrikov

Tirs de Pénalité
Iiro Pakarinen, Brendan Perlini, Oskar Lindblom, Frank Vatrano, Cedric Paquette

Gardien
#1 : Magnus Hellberg, #2 : Joey Daccord

Lignes d'Attaque Perso. en Prol.
, , , , , , , , Dominik Kahun, ,

Lignes de Défense Perso. en Prol.
, Alexandre Carrier, , Ludwig Bystrom,

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	Admirals	3	1	2	0	0	0	0	0	10	14	-4	2	1	1	0	0	0	0	0	8	8	0	1	0	1	0	0	0	0	0	2	6	-4	2	0.333	10	17	27	1	0	96	105	99	17	96	865	872	813	41	102	35	18	62	14	4	28.57%	9	1	88.89%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
2	Barracuda	4	2	2	0	0	0	0	0	16	18	-2	3	2	1	0	0	0	0	0	12	10	2	1	0	1	0	0	0	0	0	4	8	-4	4	0.500	16	25	41	0	0	96	105	99	17	119	865	872	813	41	148	35	24	102	19	3	15.79%	7	2	71.43%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
3	Bears	3	2	1	0	0	0	0	0	13	7	6	1	1	0	0	0	0	0	0	5	1	4	2	1	1	0	0	0	0	0	8	6	2	4	0.667	13	21	34	0	0	96	105	99	17	113	865	872	813	41	61	26	16	75	11	3	27.27%	8	4	50.00%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
4	Checkers	2	1	1	0	0	0	0	0	8	6	2	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	6	2	4	2	0.500	8	14	22	1	0	96	105	99	17	65	865	872	813	41	55	23	4	56	12	3	25.00%	2	0	100.00%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
5	Comets	2	0	1	0	0	0	1	0	10	11	-1	1	0	0	0	0	0	1	0	5	4	1	1	0	1	0	0	0	0	0	5	7	-2	2	0.500	10	15	25	0	0	96	105	99	17	62	865	872	813	41	70	21	14	49	11	2	18.18%	7	2	71.43%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
6	Condors	7	1	4	0	0	1	1	0	22	30	-8	4	1	2	0	0	0	1	0	13	15	-2	3	0	2	0	0	1	0	0	9	15	-6	5	0.357	22	42	64	0	0	96	105	99	17	226	865	872	813	41	236	69	65	140	32	7	21.88%	26	6	76.92%	1	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
7	Crunch	2	1	0	0	1	0	0	0	7	5	2	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	1	0	0	0	4	3	1	4	1.000	7	11	18	0	0	96	105	99	17	68	865	872	813	41	52	16	12	40	5	3	60.00%	6	1	83.33%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
8	Devils	4	3	1	0	0	0	0	0	20	15	5	2	1	1	0	0	0	0	0	7	5	2	2	2	0	0	0	0	0	0	13	10	3	6	0.750	20	37	57	0	0	96	105	99	17	152	865	872	813	41	117	34	20	90	13	3	23.08%	10	3	70.00%	2	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
9	Eagles	2	0	1	0	0	0	0	1	5	7	-2	1	0	0	0	0	0	0	1	2	3	-1	1	0	1	0	0	0	0	0	3	4	-1	1	0.250	5	8	13	0	0	96	105	99	17	54	865	872	813	41	50	26	8	61	9	2	22.22%	4	1	75.00%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
10	Griffins	6	5	1	0	0	0	0	0	24	18	6	3	2	1	0	0	0	0	0	12	10	2	3	3	0	0	0	0	0	0	12	8	4	10	0.833	24	40	64	0	0	96	105	99	17	173	865	872	813	41	191	53	22	128	23	4	17.39%	11	2	81.82%	1	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
11	Heat	2	1	0	0	0	0	0	1	6	6	0	1	1	0	0	0	0	0	0	4	3	1	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	6	9	15	0	0	96	105	99	17	69	865	872	813	41	66	16	6	44	5	0	0.00%	3	0	100.00%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
12	IceHogs	3	2	1	0	0	0	0	0	11	11	0	1	0	1	0	0	0	0	0	2	5	-3	2	2	0	0	0	0	0	0	9	6	3	4	0.667	11	19	30	0	0	96	105	99	17	89	865	872	813	41	98	36	14	67	20	1	5.00%	7	2	71.43%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
13	Influenza	3	2	1	0	0	0	0	0	11	11	0	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	4	3	1	4	0.667	11	18	29	0	0	96	105	99	17	80	865	872	813	41	107	31	12	67	19	3	15.79%	6	2	66.67%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
14	Little Stars	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	2	6	-4	2	0.500	7	10	17	0	0	96	105	99	17	67	865	872	813	41	74	19	8	49	3	1	33.33%	4	0	100.00%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
15	Monsters	3	2	1	0	0	0	0	0	12	11	1	1	1	0	0	0	0	0	0	4	3	1	2	1	1	0	0	0	0	0	8	8	0	4	0.667	12	22	34	0	0	96	105	99	17	105	865	872	813	41	83	32	18	69	23	3	13.04%	9	1	88.89%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
16	Penguins	2	1	0	0	0	0	0	1	7	6	1	1	1	0	0	0	0	0	0	5	3	2	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	7	11	18	0	0	96	105	99	17	60	865	872	813	41	62	32	8	45	6	0	0.00%	4	0	100.00%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
17	Phantoms	6	1	4	0	0	0	1	0	22	25	-3	3	1	2	0	0	0	0	0	11	11	0	3	0	2	0	0	0	1	0	11	14	-3	4	0.333	22	34	56	1	0	96	105	99	17	193	865	872	813	41	176	67	34	144	38	8	21.05%	17	4	76.47%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
18	Punishers	3	0	2	0	1	0	0	0	8	13	-5	2	0	2	0	0	0	0	0	4	10	-6	1	0	0	0	1	0	0	0	4	3	1	2	0.333	8	14	22	0	0	96	105	99	17	103	865	872	813	41	99	39	12	54	9	2	22.22%	6	1	83.33%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
19	Rampage	3	0	2	0	0	1	0	0	10	15	-5	1	0	1	0	0	0	0	0	4	6	-2	2	0	1	0	0	1	0	0	6	9	-3	1	0.167	10	18	28	0	0	96	105	99	17	99	865	872	813	41	118	33	10	55	7	0	0.00%	5	2	60.00%	1	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
20	Reign	3	1	1	0	0	1	0	0	14	17	-3	1	0	0	0	0	1	0	0	6	7	-1	2	1	1	0	0	0	0	0	8	10	-2	3	0.500	14	26	40	0	0	96	105	99	17	111	865	872	813	41	101	28	9	81	12	3	25.00%	4	0	100.00%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
21	Rocket	6	2	2	0	1	0	1	0	27	26	1	3	1	1	0	0	0	1	0	14	10	4	3	1	1	0	1	0	0	0	13	16	-3	8	0.667	27	46	73	0	0	96	105	99	17	195	865	872	813	41	183	51	33	142	25	5	20.00%	14	1	92.86%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
22	Senators	2	1	0	0	0	0	1	0	10	8	2	1	1	0	0	0	0	0	0	6	5	1	1	0	0	0	0	0	1	0	4	3	1	4	1.000	10	16	26	0	0	96	105	99	17	67	865	872	813	41	76	11	6	49	8	1	12.50%	3	0	100.00%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
23	Sound Tigers	3	2	1	0	0	0	0	0	16	10	6	1	0	1	0	0	0	0	0	1	2	-1	2	2	0	0	0	0	0	0	15	8	7	4	0.667	16	27	43	0	0	96	105	99	17	72	865	872	813	41	90	31	24	73	23	5	21.74%	12	4	66.67%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
24	Thunderbirds	2	0	1	0	1	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	1	4	-3	1	0	0	0	1	0	0	0	2	1	1	2	0.500	3	6	9	0	0	96	105	99	17	50	865	872	813	41	62	18	12	47	4	0	0.00%	6	1	83.33%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
25	Wolfpack	2	1	1	0	0	0	0	0	10	9	1	1	0	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	5	3	2	2	0.500	10	17	27	0	0	96	105	99	17	71	865	872	813	41	63	24	12	38	9	3	33.33%	6	3	50.00%	0	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
	Total	80	33	32	0	4	3	5	3	309	312	-3	40	17	18	0	0	1	3	1	148	147	1	40	16	14	0	4	2	2	2	161	165	-4	90	0.563	309	523	832	3	0	96	105	99	17	2559	865	872	813	41	2540	806	421	1827	360	69	19.17%	196	43	78.06%	5	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
	_Since Last GM Reset	80	33	32	0	4	3	5	3	309	312	-3	40	17	18	0	0	1	3	1	148	147	1	40	16	14	0	4	2	2	2	161	165	-4	90	0.563	309	523	832	3	0	96	105	99	17	2559	865	872	813	41	2540	806	421	1827	360	69	19.17%	196	43	78.06%	5	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
	_Vs Conference	50	23	21	0	1	2	3	0	198	198	0	25	11	11	0	0	1	2	0	95	90	5	25	12	10	0	1	1	1	0	103	108	-5	56	0.560	198	337	535	2	0	96	105	99	17	1572	865	872	813	41	1576	494	289	1150	259	49	18.92%	130	29	77.69%	2	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750
	_Vs Division	25	9	11	0	1	1	3	0	95	99	-4	13	5	6	0	0	0	2	0	50	46	4	12	4	5	0	1	1	1	0	45	53	-8	27	0.540	95	162	257	1	0	96	105	99	17	787	865	872	813	41	786	240	154	554	118	24	20.34%	68	13	80.88%	2	955	1837	51.99%	830	1614	51.43%	677	1302	52.00%	1766	992	1629	739	1455	750

			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
80	90	OTL1	309	523	832	2559	2540	806	421	1827	3	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
80	33	32	4	3	5	3	309	312

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	17	18	0	1	3	1	148	147

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	16	14	4	2	2	2	161	165

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	5	1	1	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
360	69	19.17%	196	43	78.06%	5

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
865	872	813	41	96	105	99	17

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
955	1837	51.99%	830	1614	51.43%	677	1302	52.00%

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
1766	992	1629	739	1455	750

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	RI	Lien
1 - 2020-10-09	3	Condors	5	Moose	4	L			R1	Sommaire du Match
4 - 2020-10-12	23	Moose	4	Griffins	3	W				Sommaire du Match
6 - 2020-10-14	33	Rocket	3	Moose	9	W				Sommaire du Match
11 - 2020-10-19	55	Barracuda	2	Moose	4	W				Sommaire du Match
13 - 2020-10-21	68	Moose	4	Rocket	3	W				Sommaire du Match
15 - 2020-10-23	83	Griffins	5	Moose	6	W				Sommaire du Match
16 - 2020-10-24	84	Moose	4	Phantoms	5	L				Sommaire du Match
20 - 2020-10-28	107	Moose	3	Phantoms	2	W	X	X		Sommaire du Match
21 - 2020-10-29	115	Moose	2	Condors	5	L			R1	Sommaire du Match
23 - 2020-10-31	127	Condors	1	Moose	2	W				Sommaire du Match
26 - 2020-11-03	140	Phantoms	2	Moose	6	W				Sommaire du Match
28 - 2020-11-05	154	Moose	6	Bears	2	W				Sommaire du Match
30 - 2020-11-07	165	Moose	6	Devils	5	W				Sommaire du Match
32 - 2020-11-09	173	Barracuda	5	Moose	6	W				Sommaire du Match
34 - 2020-11-11	185	Moose	4	Rampage	5	L	X			Sommaire du Match
36 - 2020-11-13	198	Devils	2	Moose	1	L				Sommaire du Match
41 - 2020-11-18	220	Barracuda	3	Moose	2	L				Sommaire du Match
43 - 2020-11-20	231	Moose	4	Phantoms	7	L				Sommaire du Match
45 - 2020-11-22	246	Bears	1	Moose	5	W				Sommaire du Match
47 - 2020-11-24	254	Moose	4	Barracuda	8	L				Sommaire du Match
50 - 2020-11-27	269	Heat	3	Moose	4	W				Sommaire du Match
54 - 2020-12-01	288	Moose	2	Bears	4	L				Sommaire du Match
55 - 2020-12-02	299	Wolfpack	6	Moose	5	L				Sommaire du Match
59 - 2020-12-06	317	Checkers	4	Moose	2	L				Sommaire du Match
62 - 2020-12-09	331	Moose	4	Senators	3	W	X	X		Sommaire du Match
64 - 2020-12-11	342	Devils	3	Moose	6	W				Sommaire du Match
66 - 2020-12-13	357	Moose	9	Sound Tigers	5	W			R2	Sommaire du Match
69 - 2020-12-16	368	Moose	2	Thunderbirds	1	W	X			Sommaire du Match
71 - 2020-12-18	377	Rocket	3	Moose	4	W	X	X		Sommaire du Match
74 - 2020-12-21	394	Sound Tigers	2	Moose	1	L			R2	Sommaire du Match
76 - 2020-12-23	400	Moose	2	Admirals	6	L				Sommaire du Match
79 - 2020-12-26	420	Monsters	3	Moose	4	W			R2	Sommaire du Match
83 - 2020-12-30	437	Moose	5	Monsters	4	W				Sommaire du Match
85 - 2021-01-01	450	Penguins	3	Moose	5	W			R1	Sommaire du Match
89 - 2021-01-05	472	Reign	7	Moose	6	L	X			Sommaire du Match
93 - 2021-01-09	492	Moose	3	Eagles	4	L			R1	Sommaire du Match
94 - 2021-01-10	498	Phantoms	4	Moose	2	L				Sommaire du Match
98 - 2021-01-14	515	Moose	5	Comets	7	L				Sommaire du Match
100 - 2021-01-16	523	Little Stars	2	Moose	5	W				Sommaire du Match
102 - 2021-01-18	535	Moose	6	Checkers	2	W				Sommaire du Match
106 - 2021-01-22	547	Moose	5	IceHogs	4	W			R2	Sommaire du Match
107 - 2021-01-23	557	Senators	5	Moose	6	W				Sommaire du Match
110 - 2021-01-26	571	Moose	3	Monsters	4	L			R2	Sommaire du Match
111 - 2021-01-27	582	Rampage	6	Moose	4	L				Sommaire du Match
114 - 2021-01-30	599	Moose	7	Devils	5	W				Sommaire du Match
116 - 2021-02-01	607	Griffins	3	Moose	6	W				Sommaire du Match
120 - 2021-02-05	625	Moose	4	Crunch	3	W	X			Sommaire du Match
121 - 2021-02-06	634	Phantoms	5	Moose	3	L				Sommaire du Match
124 - 2021-02-09	652	Punishers	6	Moose	3	L				Sommaire du Match
128 - 2021-02-13	671	Moose	2	Rampage	4	L				Sommaire du Match
130 - 2021-02-15	680	Moose	4	Influenza	3	W				Sommaire du Match
131 - 2021-02-16	687	Comets	4	Moose	5	W	X	X		Sommaire du Match
135 - 2021-02-20	702	Moose	6	Sound Tigers	3	W			R2	Sommaire du Match
136 - 2021-02-21	712	Condors	3	Moose	4	W	X	X	R1	Sommaire du Match
140 - 2021-02-25	733	Griffins	2	Moose	0	L				Sommaire du Match
142 - 2021-02-27	741	Moose	2	Penguins	3	L	X	X	R1	Sommaire du Match
146 - 2021-03-03	758	Moose	4	Punishers	3	W	X			Sommaire du Match
147 - 2021-03-04	763	Crunch	2	Moose	3	W				Sommaire du Match
150 - 2021-03-07	782	Influenza	2	Moose	4	W				Sommaire du Match
152 - 2021-03-09	789	Moose	4	IceHogs	2	W			R2	Sommaire du Match
157 - 2021-03-14	810	Rocket	4	Moose	1	L				Sommaire du Match
159 - 2021-03-16	822	Moose	5	Wolfpack	3	W				Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
162 - 2021-03-19	836	Condors	6	Moose	3	L			R1	Sommaire du Match
167 - 2021-03-24	862	IceHogs	5	Moose	2	L				Sommaire du Match
168 - 2021-03-25	866	Moose	2	Little Stars	6	L				Sommaire du Match
172 - 2021-03-29	887	Admirals	3	Moose	5	W				Sommaire du Match
175 - 2021-04-01	900	Moose	2	Heat	3	L	X	X		Sommaire du Match
177 - 2021-04-03	913	Influenza	6	Moose	3	L				Sommaire du Match
179 - 2021-04-05	925	Moose	3	Griffins	1	W				Sommaire du Match
183 - 2021-04-09	939	Punishers	4	Moose	1	L				Sommaire du Match
188 - 2021-04-14	964	Admirals	5	Moose	3	L				Sommaire du Match
189 - 2021-04-15	968	Moose	3	Rocket	8	L				Sommaire du Match
191 - 2021-04-17	978	Moose	2	Condors	4	L			R1	Sommaire du Match
193 - 2021-04-19	990	Eagles	3	Moose	2	L	X	X	R1	Sommaire du Match
194 - 2021-04-20	992	Moose	6	Rocket	5	W	X			Sommaire du Match
195 - 2021-04-21	999	Moose	4	Reign	3	W				Sommaire du Match
197 - 2021-04-23	1009	Moose	5	Griffins	4	W				Sommaire du Match
198 - 2021-04-24	1017	Moose	4	Reign	7	L				Sommaire du Match
201 - 2021-04-27	1025	Thunderbirds	4	Moose	1	L				Sommaire du Match
202 - 2021-04-28	1034	Moose	5	Condors	6	L	X		R1	Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	25	13
Assistance	78,038	38,789
Assistance PCT	97.55%	96.97%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
0	2921 - 97.36%	64,449$	2,577,967$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
3,183,321$	1,907,500$	1,837,500$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
9,012$	2,219,221$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	13,939$	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

	Moose
	GP: 80 \| W: 42 \| L: 32 \| OTL: 6 \| P: 90 GF: 309 \| GA: 312 \| PP%: 19.17% \| PK%: 78.06% DG: Pascal Verret \| Morale : 46 \| Moyenne d'Équipe : 62