Ligue de Hockey Simulé du Saguenay

Blue Jackets
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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Emerson Etem (R)		X			100.00	72	29	80	73	72	73	75	71	67	70	85	64	67	50	46	45	62	70	0	23	1	800,000$
2	Andrew Gordon			X		100.00	62	41	77	64	78	63	66	68	66	77	71	62	69	75	70	18	31	68	0	30	1	850,000$
3	Matt Calvert		X			100.00	66	25	74	72	74	80	71	73	63	63	78	60	74	62	56	33	24	68	0	26	1	900,000$
4	Justin Florek (R)		X			100.00	74	31	76	64	74	73	69	68	71	68	73	60	68	60	59	33	62	67	0	25	1	600,000$
5	Dominik Simon (R)	X				100.00	57	40	83	64	59	75	59	78	74	70	71	57	51	48	48	67	46	66	0	21	2	500,000$
6	Ondrej Kase (R)			X		100.00	71	48	81	69	66	65	71	64	66	73	67	63	71	41	41	66	40	66	0	19	1	500,000$
7	Mitch Marner (R)			X		100.00	60	36	80	63	53	74	70	68	87	84	67	44	60	40	40	94	60	65	0	18	2	500,000$
8	Bobby Farnham			X		100.00	76	69	64	62	80	62	80	63	62	65	63	60	70	68	66	33	53	65	0	26	1	500,000$
9	Jared Knight (R)	X				100.00	62	21	72	62	68	69	71	65	68	70	69	61	64	46	45	41	48	64	0	23	1	600,000$
10	Austin Watson (R)		X			100.00	69	28	76	62	66	66	68	65	66	62	69	60	62	46	45	40	57	63	0	23	2	600,000$
11	Maxim Mamin (R)	X				100.00	56	34	72	68	53	64	66	61	63	58	60	53	58	42	42	59	32	59	0	20	2	500,000$
12	Beau Starrett (R)	X				100.00	44	41	59	48	53	59	54	51	54	53	59	36	45	41	41	52	49	50	0	19	1	500,000$
13	Cameron Hughes (R)	X				100.00	50	26	63	47	61	56	54	53	54	48	47	41	46	42	42	66	21	49	0	19	2	500,000$
14	Roman Josi				X	100.00	71	30	85	73	74	74	77	74	55	68	72	72	62	54	48	40	31	71	0	25	3	900,000$
15	Timothy Kunes				X	100.00	72	31	67	77	74	74	72	74	38	66	65	75	55	64	51	24	20	70	0	28	1	900,000$
16	Shea Theodore (R)				X	100.00	59	37	85	78	55	66	76	75	41	84	69	76	46	46	42	63	59	69	0	20	2	950,000$
17	Aaron Ness (R)				X	100.00	68	38	74	75	70	74	72	70	47	72	69	68	59	53	48	35	52	68	0	25	1	500,000$
18	David Kolomatis				X	100.00	61	29	85	69	71	72	67	66	53	69	60	69	63	63	57	30	62	67	0	26	1	500,000$
19	Dillon Heatherington (R)				X	100.00	66	24	82	60	61	67	71	55	41	60	47	78	49	43	42	55	49	63	0	20	2	500,000$
Rayé
1	Ryan Fitzgerald (R)	X				70.15	62	43	74	60	66	66	64	70	69	57	66	56	62	44	45	54	48	62	0	21	2	550,000$
2	Joakim Nordstrom (R)		X			100.00	81	45	59	62	69	63	75	66	55	65	64	54	53	45	45	44	35	62	0	23	1	350,000$
3	Richard Nejezchleb (R)			X		100.00	52	45	69	58	64	64	60	58	63	62	69	52	55	45	44	45	30	60	0	21	1	350,000$
4	Francis Perron (R)		X			100.00	54	33	65	55	41	52	65	64	66	71	63	34	55	41	41	64	30	56	0	19	1	500,000$
5	Morgan Rielly (R)				X	100.00	70	32	88	65	66	78	75	69	50	77	71	65	63	49	43	62	24	69	0	21	1	925,000$
6	Matt Grzelcyk (R)				X	100.00	61	26	67	76	55	60	65	70	39	70	47	64	53	43	43	52	27	62	0	21	3	600,000$

	MOYENNE D'ÉQUIPE					98.81	64	35	74	65	65	68	69	66	59	67	66	59	59	50	48	49	42	64

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Thomas Greiss	100.00	71	67	70	68	71	71	63	73	68	69	74	70	65	23	61	69	0
2	Eric Comrie	100.00	67	79	66	68	70	70	66	71	74	70	53	44	42	61	55	68	0
Rayé
1	Phoenix Copley	100.00	67	58	63	70	70	61	50	65	70	58	66	53	52	37	19	63	0

	MOYENNE D'ÉQUIPE	100.00	68	68	66	69	70	67	60	70	71	66	64	56	53	40	45	67

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Brent Sutter	90	64	69	87	40	59	56	CAN	49	1	500,000$

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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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	Emerson Etem	Monsters (Clb)	LW	80	68	50	118	-12	54	0	149	145	383	121	209	17.75%	44	1856	23.21	14	20	34	58	296	1	1	2	7	242	7	2	52.47%	566	89	28	1	5	1.27	2	13	0	0	14	5	2
2	Andrew Gordon	Monsters (Clb)	RW	67	34	53	87	3	45	5	86	85	227	58	135	14.98%	38	1332	19.89	11	13	24	41	242	0	0	0	3	132	2	0	47.01%	117	40	37	0	1	1.31	2	9	1	0	2	3	3
3	Shea Theodore	Monsters (Clb)	D	80	11	67	78	-16	24	0	54	155	227	89	101	4.85%	111	1863	23.29	4	14	18	32	273	1	0	1	6	216	0	0	0.00%	0	55	64	0	0	0.84	0	0	0	0	1	3	2
4	Dominik Simon	Monsters (Clb)	C	70	23	41	64	-7	30	0	88	118	207	68	114	11.11%	25	1294	18.49	9	10	19	43	221	1	1	2	3	56	1	0	51.10%	1546	30	17	0	1	0.99	0	4	0	0	2	4	3
5	Matt Calvert	Monsters (Clb)	LW	62	35	27	62	1	24	0	108	79	200	70	118	17.50%	23	1089	17.57	7	5	12	20	182	1	1	2	5	81	5	2	44.74%	76	41	16	0	1	1.14	5	9	0	0	4	5	1
6	Christian Hanson	Blue Jackets	C	42	15	37	52	-7	39	5	62	68	114	38	68	13.16%	28	867	20.66	4	9	13	21	136	0	0	0	4	121	1	2	52.80%	1106	12	14	0	0	1.20	1	5	0	0	0	1	5
7	Justin Florek	Monsters (Clb)	LW	80	24	28	52	-7	28	0	120	75	195	57	103	12.31%	25	1103	13.79	4	7	11	10	129	1	0	1	9	60	4	0	43.94%	132	34	22	0	0	0.94	3	5	0	0	2	1	3
8	Mitch Marner	Monsters (Clb)	RW	80	15	32	47	-5	25	5	76	58	162	45	101	9.26%	17	1015	12.69	0	0	0	1	49	0	0	0	0	4	2	3	68.97%	58	27	12	0	1	0.93	0	0	0	1	1	1	6
9	Roman Josi	Monsters (Clb)	D	70	13	27	40	-30	16	0	102	142	155	61	68	8.39%	140	1841	26.31	6	6	12	25	243	0	2	2	5	204	3	0	0.00%	0	49	67	0	0	0.43	0	0	0	0	0	4	1
10	Jared Knight	Monsters (Clb)	C	71	13	23	36	-5	52	0	96	102	103	27	54	12.62%	20	1004	14.15	1	4	5	7	105	0	0	0	1	16	1	2	47.60%	626	8	18	0	0	0.72	0	0	0	0	1	4	2
11	Ondrej Kase	Monsters (Clb)	RW	69	16	17	33	-17	2	0	94	70	138	44	81	11.59%	27	1025	14.87	3	6	9	18	199	1	0	1	2	49	2	2	47.92%	48	18	15	0	0	0.64	1	1	0	0	0	2	5
12	Aaron Ness	Monsters (Clb)	D	77	6	26	32	-4	42	0	75	92	88	40	40	6.82%	72	1248	16.22	0	2	2	4	133	0	2	2	1	99	0	1	0.00%	0	28	22	0	0	0.51	0	1	0	0	2	1	1
13	Timothy Kunes	Monsters (Clb)	D	37	5	23	28	3	56	0	84	71	79	34	40	6.33%	56	897	24.26	2	6	8	16	143	0	2	2	2	96	0	0	0.00%	0	28	23	0	0	0.62	0	0	0	0	1	2	1
14	Bobby Farnham	Monsters (Clb)	RW	77	10	17	27	-6	32	0	95	49	100	32	60	10.00%	16	844	10.96	1	1	2	4	48	0	0	0	0	9	1	2	22.22%	36	15	15	0	0	0.64	0	0	0	0	0	0	0
15	Austin Watson	Monsters (Clb)	LW	76	13	11	24	6	18	0	84	53	103	25	64	12.62%	13	716	9.43	0	0	0	0	7	0	0	0	0	39	0	1	38.10%	21	8	12	0	0	0.67	0	0	0	0	0	1	0
16	Ryan Fitzgerald	Monsters (Clb)	C	80	8	12	20	0	26	0	50	56	72	27	51	11.11%	21	782	9.79	0	0	0	0	1	0	0	0	0	4	0	0	46.55%	391	8	12	0	0	0.51	0	0	0	0	0	0	0
17	Morgan Rielly	Monsters (Clb)	D	64	4	12	16	3	4	0	76	95	78	26	36	5.13%	60	1313	20.53	1	0	1	11	172	0	1	1	4	158	1	0	0.00%	0	23	34	0	0	0.24	0	1	0	0	0	0	1
18	David Kolomatis	Monsters (Clb)	D	80	2	14	16	-2	4	0	26	79	48	20	34	4.17%	58	1085	13.57	0	0	0	1	53	0	1	1	0	66	0	0	0.00%	0	14	37	0	0	0.29	0	0	0	0	0	0	0
19	Joakim Nordstrom	Monsters (Clb)	LW	54	4	5	9	3	22	0	39	17	24	9	24	16.67%	3	330	6.12	0	0	0	0	22	0	0	0	1	50	1	1	47.06%	51	2	3	0	0	0.54	0	0	0	0	0	1	1
20	Dillon Heatherington	Monsters (Clb)	D	71	0	9	9	2	8	0	34	69	29	12	10	0.00%	55	793	11.18	0	1	1	0	12	0	0	0	0	32	0	0	0.00%	0	1	30	0	0	0.23	0	0	0	0	0	0	0
21	Richard Nejezchleb	Monsters (Clb)	RW	51	4	3	7	9	12	0	11	12	12	3	13	33.33%	4	191	3.75	0	0	0	0	11	0	0	0	0	0	1	0	33.33%	9	5	0	0	0	0.73	0	0	0	0	0	2	0
22	Maxim Mamin	Monsters (Clb)	C	64	4	1	5	6	12	0	10	16	22	7	20	18.18%	3	339	5.31	0	0	0	0	2	0	0	0	0	20	0	0	42.64%	129	2	6	0	0	0.29	0	0	0	0	0	0	0
23	Matt Grzelcyk	Monsters (Clb)	D	51	0	2	2	5	14	0	17	13	7	3	8	0.00%	14	329	6.45	0	0	0	0	2	0	0	0	0	5	0	0	0.00%	0	1	9	0	0	0.12	0	0	0	0	0	0	0
24	Beau Starrett	Monsters (Clb)	C	70	0	1	1	-1	10	0	7	9	1	1	1	0.00%	2	171	2.45	0	0	0	0	3	0	0	0	0	21	0	0	38.10%	63	0	0	0	0	0.12	0	0	0	0	0	0	0
25	Cameron Hughes	Monsters (Clb)	C	31	0	0	0	-1	0	0	0	0	0	0	0	0.00%	1	3	0.13	0	0	0	0	2	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0
26	Francis Perron	Monsters (Clb)	LW	51	0	0	0	2	2	0	1	0	2	0	1	0.00%	0	54	1.06	0	0	0	0	4	0	0	0	0	24	0	0	37.50%	16	0	0	0	0	0.00	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1705	327	538	865	-77	601	15	1644	1728	2776	917	1554	11.78%	876	23397	13.72	67	104	171	312	2700	6	11	17	53	1815	32	18	49.87%	4991	538	513	1	9	0.74	14	48	1	1	30	40	37

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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	A	EG	PS %	PSA	ST	BG	S1	S2
1	Thomas Greiss	Monsters (Clb)	54	24	21	1	0.873	4.19	2838	2	198	1553	793	3	2	0.800	15	51	21	1	0
2	Eric Comrie	Monsters (Clb)	39	13	13	8	0.873	3.94	1996	4	131	1029	530	5	1	0.724	29	30	49	2	1
3	Phoenix Copley	Monsters (Clb)	2	0	1	0	0.864	4.19	43	0	3	22	10	1	0	0.000	0	0	8	0	0
Stats d'équipe Total ou en Moyenne			95	37	35	9	0.873	4.08	4877	6	332	2604	1333	9	3	0.750	44	81	78	3	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	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3
Aaron Ness	Monsters (Clb)	D	25	1990-01-01	Yes	182 Lbs	5 ft10	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Andrew Gordon	Monsters (Clb)	RW	30	1985-01-01	No	194 Lbs	6 ft0	No	No	No	1	Pro & Farm	850,000$	0$	0$	No
Austin Watson	Monsters (Clb)	LW	23	1992-01-01	Yes	193 Lbs	6 ft4	No	No	No	2	Pro & Farm	600,000$	0$	0$	No	600,000$
Beau Starrett	Monsters (Clb)	C	19	1996-01-01	Yes	215 Lbs	6 ft5	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Bobby Farnham	Monsters (Clb)	RW	26	1989-01-01	No	188 Lbs	5 ft10	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Cameron Hughes	Monsters (Clb)	C	19	1996-01-01	Yes	195 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
David Kolomatis	Monsters (Clb)	D	26	1989-01-01	No	196 Lbs	5 ft11	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Dillon Heatherington	Monsters (Clb)	D	20	1995-01-01	Yes	185 Lbs	6 ft4	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Dominik Simon	Monsters (Clb)	C	21	1994-01-01	Yes	190 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Emerson Etem	Monsters (Clb)	LW	23	1992-01-01	Yes	212 Lbs	6 ft1	No	No	No	1	Pro & Farm	800,000$	0$	0$	No
Eric Comrie	Monsters (Clb)	G	20	1995-01-01	No	185 Lbs	6 ft1	No	No	No	3	Pro & Farm	600,000$	0$	0$	No	700,000$	800,000$
Francis Perron	Monsters (Clb)	LW	19	1996-01-01	Yes	178 Lbs	6 ft2	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Jared Knight	Monsters (Clb)	C	23	1992-01-01	Yes	203 Lbs	5 ft11	No	No	No	1	Pro & Farm	600,000$	0$	0$	No
Joakim Nordstrom	Monsters (Clb)	LW	23	1992-01-01	Yes	189 Lbs	6 ft1	No	No	No	1	Pro & Farm	350,000$	0$	0$	No
Justin Florek	Monsters (Clb)	LW	25	1990-01-01	Yes	199 Lbs	6 ft4	No	No	No	1	Pro & Farm	600,000$	0$	0$	No
Matt Calvert	Monsters (Clb)	LW	26	1989-01-01	No	187 Lbs	5 ft10	No	No	No	1	Pro & Farm	900,000$	0$	0$	No
Matt Grzelcyk	Monsters (Clb)	D	21	1994-01-01	Yes	171 Lbs	5 ft9	No	No	No	3	Pro & Farm	600,000$	0$	0$	No	700,000$	800,000$
Maxim Mamin	Monsters (Clb)	C	20	1995-01-01	Yes	185 Lbs	6 ft1	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Mitch Marner	Monsters (Clb)	RW	18	1997-01-01	Yes	175 Lbs	6 ft0	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Morgan Rielly	Monsters (Clb)	D	21	1994-01-01	Yes	200 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	0$	0$	No
Ondrej Kase	Monsters (Clb)	RW	19	1996-01-01	Yes	186 Lbs	5 ft11	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Phoenix Copley	Monsters (Clb)	G	23	1992-01-01	No	196 Lbs	6 ft4	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Richard Nejezchleb	Monsters (Clb)	RW	21	1994-01-01	Yes	187 Lbs	5 ft11	No	No	No	1	Pro & Farm	350,000$	0$	0$	No
Roman Josi	Monsters (Clb)	D	25	1990-01-01	No	198 Lbs	6 ft2	No	No	No	3	Pro & Farm	900,000$	0$	0$	No	1,000,000$	1,000,000$
Ryan Fitzgerald (Sur la Masse Salariale)	Monsters (Clb)	C	21	1994-01-01	Yes	185 Lbs	5 ft10	No	No	No	2	Pro & Farm	550,000$	0$	0$	Yes	550,000$
Shea Theodore	Monsters (Clb)	D	20	1995-01-01	Yes	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	950,000$	0$	0$	No	950,000$
Thomas Greiss	Monsters (Clb)	G	29	1986-01-01	No	210 Lbs	6 ft1	No	No	No	2	Pro & Farm	650,000$	0$	0$	No	650,000$
Timothy Kunes	Monsters (Clb)	D	28	1987-01-01	No	170 Lbs	6 ft1	No	No	No	1	Pro & Farm	900,000$	0$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
28	22.64	191 Lbs	6 ft1	1.54	611,607$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Emerson Etem	Dominik Simon	Mitch Marner	40	1	2	2
2	Matt Calvert	Jared Knight	Andrew Gordon	30	1	2	2
3	Justin Florek		Ondrej Kase	20	1	2	2
4	Austin Watson	Maxim Mamin	Bobby Farnham	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Roman Josi	Timothy Kunes	40	1	2	2
2	Dillon Heatherington	Shea Theodore	30	1	2	2
3	Aaron Ness	David Kolomatis	20	1	2	2
4	Roman Josi	Timothy Kunes	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Emerson Etem	Dominik Simon	Andrew Gordon	60	1	2	2
2	Matt Calvert	Jared Knight	Ondrej Kase	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Roman Josi	Timothy Kunes	60	1	2	2
2	Aaron Ness	Shea Theodore	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Emerson Etem	Andrew Gordon	60	1	2	2
2	Matt Calvert	Justin Florek	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Roman Josi	Timothy Kunes	60	1	2	2
2	David Kolomatis	Shea Theodore	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Emerson Etem	60	1	2	2	Roman Josi	Timothy Kunes	60	1	2	2
2	Andrew Gordon	40	1	2	2	David Kolomatis	Shea Theodore	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Emerson Etem	Andrew Gordon	60	1	2	2
2	Matt Calvert	Justin Florek	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Roman Josi	Timothy Kunes	60	1	2	2
2	Aaron Ness	Shea Theodore	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Emerson Etem	Dominik Simon	Andrew Gordon	Roman Josi	Timothy Kunes

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Emerson Etem	Dominik Simon	Andrew Gordon	Roman Josi	Timothy Kunes

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Beau Starrett, Cameron Hughes, Bobby Farnham	Beau Starrett, Cameron Hughes	Bobby Farnham

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Aaron Ness, David Kolomatis, Timothy Kunes	Aaron Ness	David Kolomatis, Roman Josi

Tirs de Pénalité
Emerson Etem, Andrew Gordon, Matt Calvert, Justin Florek, Dominik Simon

Gardien
#1 : Thomas Greiss, #2 : Eric Comrie

Lignes d'Attaque Perso. en Prol.
Emerson Etem, Andrew Gordon, Matt Calvert, Dominik Simon, Justin Florek, Bobby Farnham, Bobby Farnham, Ondrej Kase, Jared Knight, Beau Starrett, Cameron Hughes

Lignes de Défense Perso. en Prol.
Timothy Kunes, Roman Josi, Shea Theodore, Aaron Ness, David Kolomatis

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	6	2	2	0	1	0	1	0	30	29	1	3	1	1	0	1	0	0	0	14	14	0	3	1	1	0	0	0	1	0	16	15	1	8	0.667	30	45	75	0	0	99	115	106	17	212	936	947	853	69	204	59	55	127	34	7	20.59%	25	7	72.00%	1	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
2	Barracuda	7	0	5	0	0	0	1	1	22	33	-11	3	0	3	0	0	0	0	0	8	15	-7	4	0	2	0	0	0	1	1	14	18	-4	3	0.214	22	36	58	0	0	99	115	106	17	242	936	947	853	69	220	75	46	151	29	6	20.69%	23	4	82.61%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
3	Bears	3	2	1	0	0	0	0	0	19	17	2	2	2	0	0	0	0	0	0	15	11	4	1	0	1	0	0	0	0	0	4	6	-2	4	0.667	19	32	51	0	0	99	115	106	17	113	936	947	853	69	84	26	20	53	11	4	36.36%	10	2	80.00%	1	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
4	Checkers	3	0	2	0	0	0	1	0	8	9	-1	2	0	1	0	0	0	1	0	5	5	0	1	0	1	0	0	0	0	0	3	4	-1	2	0.333	8	12	20	0	0	99	115	106	17	103	936	947	853	69	90	33	28	67	12	1	8.33%	14	1	92.86%	1	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
5	Comets	2	0	1	0	1	0	0	0	8	9	-1	1	0	1	0	0	0	0	0	3	5	-2	1	0	0	0	1	0	0	0	5	4	1	2	0.500	8	11	19	1	0	99	115	106	17	69	936	947	853	69	72	20	6	47	6	0	0.00%	3	0	100.00%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
6	Condors	4	2	2	0	0	0	0	0	19	15	4	2	1	1	0	0	0	0	0	8	9	-1	2	1	1	0	0	0	0	0	11	6	5	4	0.500	19	32	51	0	0	99	115	106	17	136	936	947	853	69	124	45	20	88	19	3	15.79%	9	1	88.89%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
7	Crunch	2	0	1	0	0	0	1	0	11	12	-1	1	0	1	0	0	0	0	0	4	6	-2	1	0	0	0	0	0	1	0	7	6	1	2	0.500	11	18	29	1	0	99	115	106	17	81	936	947	853	69	72	19	18	34	9	2	22.22%	9	1	88.89%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
8	Devils	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	4	3	1	4	1.000	10	17	27	0	0	99	115	106	17	71	936	947	853	69	65	19	10	43	6	1	16.67%	5	3	40.00%	1	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
9	Eagles	2	1	0	0	0	0	0	1	7	6	1	1	1	0	0	0	0	0	0	3	1	2	1	0	0	0	0	0	0	1	4	5	-1	3	0.750	7	11	18	0	0	99	115	106	17	61	936	947	853	69	69	9	18	50	8	0	0.00%	9	2	77.78%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
10	Griffins	3	1	0	0	1	0	0	1	14	11	3	2	1	0	0	1	0	0	0	10	6	4	1	0	0	0	0	0	0	1	4	5	-1	5	0.833	14	25	39	0	0	99	115	106	17	89	936	947	853	69	84	32	16	61	16	1	6.25%	8	4	50.00%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
11	Heat	2	0	2	0	0	0	0	0	6	10	-4	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	5	6	-1	0	0.000	6	9	15	0	0	99	115	106	17	62	936	947	853	69	78	29	14	33	3	1	33.33%	7	1	85.71%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
12	IceHogs	7	3	2	0	0	1	1	0	27	23	4	3	2	0	0	0	0	1	0	17	9	8	4	1	2	0	0	1	0	0	10	14	-4	9	0.643	27	43	70	0	0	99	115	106	17	236	936	947	853	69	204	72	46	162	32	8	25.00%	23	2	91.30%	1	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
13	Influenza	3	1	1	0	0	0	1	0	11	11	0	2	1	0	0	0	0	1	0	8	5	3	1	0	1	0	0	0	0	0	3	6	-3	4	0.667	11	17	28	0	0	99	115	106	17	110	936	947	853	69	107	35	22	58	10	2	20.00%	11	3	72.73%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
14	Little Stars	2	1	0	0	0	0	0	1	6	5	1	1	0	0	0	0	0	0	1	2	3	-1	1	1	0	0	0	0	0	0	4	2	2	3	0.750	6	11	17	0	0	99	115	106	17	68	936	947	853	69	68	16	18	48	3	0	0.00%	9	0	100.00%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
15	Moose	3	1	2	0	0	0	0	0	11	12	-1	2	1	1	0	0	0	0	0	8	8	0	1	0	1	0	0	0	0	0	3	4	-1	2	0.333	11	18	29	0	0	99	115	106	17	83	936	947	853	69	105	37	46	67	9	1	11.11%	23	3	86.96%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
16	Penguins	2	2	0	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	6	5	1	4	1.000	8	15	23	0	0	99	115	106	17	54	936	947	853	69	56	16	12	46	13	3	23.08%	6	0	100.00%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
17	Phantoms	3	2	1	0	0	0	0	0	17	11	6	1	1	0	0	0	0	0	0	6	2	4	2	1	1	0	0	0	0	0	11	9	2	4	0.667	17	24	41	0	0	99	115	106	17	114	936	947	853	69	105	39	21	58	18	5	27.78%	8	2	75.00%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
18	Punishers	2	1	0	0	0	0	1	0	14	7	7	1	0	0	0	0	0	1	0	6	5	1	1	1	0	0	0	0	0	0	8	2	6	4	1.000	14	21	35	0	0	99	115	106	17	80	936	947	853	69	67	20	6	32	8	3	37.50%	3	0	100.00%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
19	Rampage	6	1	3	0	0	1	0	1	21	30	-9	3	1	2	0	0	0	0	0	12	17	-5	3	0	1	0	0	1	0	1	9	13	-4	4	0.333	21	36	57	0	0	99	115	106	17	214	936	947	853	69	197	81	46	127	20	6	30.00%	23	6	73.91%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
20	Reign	3	1	2	0	0	0	0	0	7	10	-3	1	1	0	0	0	0	0	0	3	2	1	2	0	2	0	0	0	0	0	4	8	-4	2	0.333	7	12	19	0	0	99	115	106	17	84	936	947	853	69	100	25	20	51	12	0	0.00%	10	2	80.00%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
21	Rocket	3	1	2	0	0	0	0	0	14	15	-1	1	0	1	0	0	0	0	0	5	6	-1	2	1	1	0	0	0	0	0	9	9	0	2	0.333	14	25	39	1	0	99	115	106	17	120	936	947	853	69	85	30	26	63	21	6	28.57%	14	4	71.43%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
22	Senators	2	1	0	0	0	0	1	0	11	8	3	1	1	0	0	0	0	0	0	8	6	2	1	0	0	0	0	0	1	0	3	2	1	4	1.000	11	18	29	0	0	99	115	106	17	66	936	947	853	69	78	36	20	41	7	2	28.57%	11	2	81.82%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
23	Sound Tigers	3	2	1	0	0	0	0	0	10	9	1	1	1	0	0	0	0	0	0	5	2	3	2	1	1	0	0	0	0	0	5	7	-2	4	0.667	10	18	28	0	0	99	115	106	17	107	936	947	853	69	92	29	49	44	28	2	7.14%	18	4	77.78%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
24	Thunderbirds	3	0	2	0	0	1	0	0	11	17	-6	2	0	1	0	0	1	0	0	6	11	-5	1	0	1	0	0	0	0	0	5	6	-1	1	0.167	11	21	32	0	0	99	115	106	17	112	936	947	853	69	107	46	14	64	8	1	12.50%	7	1	85.71%	0	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
25	Wolfpack	2	1	1	0	0	0	0	0	9	9	0	1	0	1	0	0	0	0	0	4	6	-2	1	1	0	0	0	0	0	0	5	3	2	2	0.500	9	14	23	0	0	99	115	106	17	72	936	947	853	69	64	15	14	38	5	0	0.00%	7	1	85.71%	1	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
	Total	80	28	33	0	3	3	8	5	331	330	1	40	17	15	0	2	1	4	1	169	162	7	40	11	18	0	1	2	4	4	162	168	-6	86	0.538	331	541	872	3	0	99	115	106	17	2759	936	947	853	69	2597	863	611	1653	347	65	18.73%	295	56	81.02%	6	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
	_Since Last GM Reset	80	28	33	0	3	3	8	5	331	330	1	40	17	15	0	2	1	4	1	169	162	7	40	11	18	0	1	2	4	4	162	168	-6	86	0.538	331	541	872	3	0	99	115	106	17	2759	936	947	853	69	2597	863	611	1653	347	65	18.73%	295	56	81.02%	6	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
	_Vs Conference	48	18	21	0	2	1	4	2	201	196	5	23	12	7	0	2	0	2	0	107	89	18	25	6	14	0	0	1	2	2	94	107	-13	51	0.531	201	327	528	1	0	99	115	106	17	1646	936	947	853	69	1514	504	387	983	239	45	18.83%	182	38	79.12%	3	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739
	_Vs Division	20	5	9	0	1	1	3	1	79	85	-6	9	3	4	0	1	0	1	0	39	38	1	11	2	5	0	0	1	2	1	40	47	-7	20	0.500	79	124	203	0	0	99	115	106	17	690	936	947	853	69	628	206	147	440	95	21	22.11%	71	13	81.69%	2	943	1860	50.70%	868	1780	48.76%	678	1351	50.19%	1713	943	1689	763	1469	739

			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	86	L1	331	541	872	2759	2597	863	611	1653	3	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
80	28	33	3	3	8	5	331	330

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	17	15	2	1	4	1	169	162

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	11	18	1	2	4	4	162	168

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	3	0	1	2	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
347	65	18.73%	295	56	81.02%	6

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
936	947	853	69	99	115	106	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
943	1860	50.70%	868	1780	48.76%	678	1351	50.19%

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
1713	943	1689	763	1469	739

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 - 2020-10-10	7	IceHogs	5	Monsters	8	W			Sommaire du Match
4 - 2020-10-12	19	Monsters	3	IceHogs	2	W			Sommaire du Match
7 - 2020-10-15	35	Barracuda	6	Monsters	3	L			Sommaire du Match
9 - 2020-10-17	47	Monsters	3	Barracuda	4	L			Sommaire du Match
10 - 2020-10-18	53	Monsters	3	Rampage	5	L			Sommaire du Match
13 - 2020-10-21	70	Monsters	2	Barracuda	5	L			Sommaire du Match
14 - 2020-10-22	76	Rampage	3	Monsters	8	W			Sommaire du Match
17 - 2020-10-25	91	Admirals	4	Monsters	5	W	X		Sommaire du Match
19 - 2020-10-27	103	Monsters	7	Admirals	6	W	X	X	Sommaire du Match
23 - 2020-10-31	124	Influenza	3	Monsters	5	W			Sommaire du Match
24 - 2020-11-01	133	Monsters	3	IceHogs	6	L			Sommaire du Match
27 - 2020-11-04	147	Monsters	4	Sound Tigers	3	W			Sommaire du Match
28 - 2020-11-05	153	Barracuda	6	Monsters	3	L			Sommaire du Match
31 - 2020-11-08	171	IceHogs	2	Monsters	3	W	X	X	Sommaire du Match
35 - 2020-11-12	192	Monsters	2	IceHogs	3	L			Sommaire du Match
37 - 2020-11-14	202	Condors	4	Monsters	7	W			Sommaire du Match
40 - 2020-11-17	215	Devils	3	Monsters	6	W			Sommaire du Match
44 - 2020-11-21	236	Comets	5	Monsters	3	L			Sommaire du Match
47 - 2020-11-24	257	Monsters	5	Wolfpack	3	W			Sommaire du Match
49 - 2020-11-26	264	Monsters	1	Reign	3	L			Sommaire du Match
51 - 2020-11-28	274	Reign	2	Monsters	3	W			Sommaire du Match
54 - 2020-12-01	292	Phantoms	2	Monsters	6	W			Sommaire du Match
56 - 2020-12-03	303	Monsters	4	Devils	3	W			Sommaire du Match
58 - 2020-12-05	311	Monsters	3	Rampage	4	L	X	X	Sommaire du Match
60 - 2020-12-07	324	Eagles	1	Monsters	3	W			Sommaire du Match
64 - 2020-12-11	343	Monsters	8	Punishers	2	W			Sommaire du Match
65 - 2020-12-12	352	Condors	5	Monsters	1	L			Sommaire du Match
68 - 2020-12-15	361	Monsters	4	Phantoms	6	L			Sommaire du Match
70 - 2020-12-17	372	Monsters	4	Griffins	5	L	X	X	Sommaire du Match
72 - 2020-12-19	382	Checkers	2	Monsters	3	W	X	X	Sommaire du Match
75 - 2020-12-22	399	Barracuda	3	Monsters	2	L			Sommaire du Match
77 - 2020-12-24	409	Monsters	4	Condors	5	L			Sommaire du Match
79 - 2020-12-26	420	Monsters	3	Moose	4	L			Sommaire du Match
81 - 2020-12-28	428	Monsters	5	Heat	6	L			Sommaire du Match
83 - 2020-12-30	437	Moose	5	Monsters	4	L			Sommaire du Match
85 - 2021-01-01	453	Monsters	5	Comets	4	W	X		Sommaire du Match
87 - 2021-01-03	461	Little Stars	3	Monsters	2	L	X	X	Sommaire du Match
89 - 2021-01-05	470	Monsters	2	IceHogs	3	L	X		Sommaire du Match
91 - 2021-01-07	481	Monsters	3	Reign	5	L			Sommaire du Match
93 - 2021-01-09	493	Griffins	4	Monsters	7	W			Sommaire du Match
95 - 2021-01-11	504	Monsters	5	Rocket	3	W			Sommaire du Match
97 - 2021-01-13	513	Monsters	7	Phantoms	3	W			Sommaire du Match
99 - 2021-01-15	520	Griffins	2	Monsters	3	W	X		Sommaire du Match
104 - 2021-01-20	541	Sound Tigers	2	Monsters	5	W			Sommaire du Match
106 - 2021-01-22	548	Monsters	7	Crunch	6	W	X	X	Sommaire du Match
109 - 2021-01-25	564	Monsters	4	Eagles	5	L	X	X	Sommaire du Match
110 - 2021-01-26	571	Moose	3	Monsters	4	W			Sommaire du Match
113 - 2021-01-29	592	Heat	4	Monsters	1	L			Sommaire du Match
115 - 2021-01-31	605	Monsters	4	Little Stars	2	W			Sommaire du Match
118 - 2021-02-03	618	Senators	6	Monsters	8	W			Sommaire du Match
122 - 2021-02-07	640	Monsters	3	Rampage	4	L	X		Sommaire du Match
124 - 2021-02-09	646	Rampage	8	Monsters	3	L			Sommaire du Match
127 - 2021-02-12	668	Penguins	1	Monsters	2	W			Sommaire du Match
129 - 2021-02-14	674	Monsters	1	Sound Tigers	4	L			Sommaire du Match
131 - 2021-02-16	683	Monsters	4	Rocket	6	L			Sommaire du Match
133 - 2021-02-18	696	Bears	6	Monsters	8	W			Sommaire du Match
137 - 2021-02-22	720	Rampage	6	Monsters	1	L			Sommaire du Match
139 - 2021-02-24	728	Monsters	3	Senators	2	W	X	X	Sommaire du Match
143 - 2021-02-28	745	IceHogs	2	Monsters	6	W			Sommaire du Match
147 - 2021-03-04	765	Monsters	6	Penguins	5	W			Sommaire du Match
149 - 2021-03-06	771	Punishers	5	Monsters	6	W	X	X	Sommaire du Match
152 - 2021-03-09	793	Admirals	7	Monsters	3	L			Sommaire du Match
154 - 2021-03-11	797	Monsters	3	Influenza	6	L			Sommaire du Match
157 - 2021-03-14	808	Monsters	5	Thunderbirds	6	L			Sommaire du Match
159 - 2021-03-16	824	Bears	5	Monsters	7	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	841	Monsters	3	Checkers	4	L			Sommaire du Match
164 - 2021-03-21	849	Rocket	6	Monsters	5	L			Sommaire du Match
166 - 2021-03-23	858	Monsters	4	Bears	6	L			Sommaire du Match
169 - 2021-03-26	877	Crunch	6	Monsters	4	L			Sommaire du Match
174 - 2021-03-31	898	Wolfpack	6	Monsters	4	L			Sommaire du Match
175 - 2021-04-01	904	Monsters	3	Barracuda	2	W	X	X	Sommaire du Match
178 - 2021-04-04	921	Monsters	6	Barracuda	7	L	X	X	Sommaire du Match
180 - 2021-04-06	927	Influenza	2	Monsters	3	W	X	X	Sommaire du Match
186 - 2021-04-12	952	Monsters	5	Admirals	3	W			Sommaire du Match
187 - 2021-04-13	958	Thunderbirds	5	Monsters	1	L			Sommaire du Match
190 - 2021-04-16	975	Monsters	4	Admirals	6	L			Sommaire du Match
192 - 2021-04-18	985	Thunderbirds	6	Monsters	5	L	X		Sommaire du Match
194 - 2021-04-20	996	Monsters	7	Condors	1	W			Sommaire du Match
197 - 2021-04-23	1012	Admirals	3	Monsters	6	W			Sommaire du Match
201 - 2021-04-27	1030	Checkers	3	Monsters	2	L			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	40	20
Assistance	54,144	27,389
Assistance PCT	67.68%	68.47%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
0	2038 - 67.94%	71,230$	2,849,217$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,227,748$	1,657,500$	1,637,500$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
8,085$	1,718,112$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	10,524$	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

	Monsters
	GP: 80 \| W: 39 \| L: 33 \| OTL: 8 \| P: 86 GF: 331 \| GA: 330 \| PP%: 18.73% \| PK%: 81.02% DG: Yann Laforest \| Morale : 42 \| Moyenne d'Équipe : 64