Ligue de hockey Simulée Ste-Flanelle

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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 Moyen
1	Ross Colton	X	X			100.00	73	74	72	65	74	77	81	62	78	64	57	63	54	44	44	0	50	61	0	23	2	650,000$
2	Tyler Sheehy (R)	X	X	X		100.00	46	40	96	72	65	73	87	64	63	60	57	48	60	64	64	0	50	60	0	23	4	525,000$
3	Barrett Hayton (R)	X	X			100.00	69	42	80	84	71	58	54	61	49	62	57	52	25	45	45	0	50	58	0	19	4	894,169$
4	Nathan Walker		X			100.00	71	65	80	64	62	71	73	58	50	54	63	62	63	44	45	0	50	58	0	25	4	1,000,000$
5	Zach Gallant (R)	X				100.00	61	56	60	68	71	74	95	57	59	47	57	55	60	54	54	0	50	58	0	20	4	525,000$
6	Morgan Klimchuk		X			100.00	75	69	86	66	68	63	62	58	50	53	58	63	57	44	44	0	50	57	0	24	2	925,000$
7	Jack Kopacka		X			100.00	80	72	98	62	72	56	56	56	50	50	57	65	54	44	44	0	50	56	0	21	2	742,500$
8	Connor Dewar (R)	X	X			100.00	70	63	87	65	63	69	73	54	68	53	50	60	48	44	44	0	50	56	0	20	4	825,834$
9	Jonathan Ang	X				100.00	68	61	85	60	61	74	79	57	71	56	53	59	50	44	44	0	50	56	0	21	2	742,500$
10	Ben Thomson (R)		X	X		100.00	48	35	63	62	72	42	29	31	35	31	31	66	45	35	32	0	50	43	0	26	3	1,000,000$
11	Zach Redmond				X	100.00	79	76	85	65	76	72	76	56	25	50	44	68	39	59	59	0	50	62	0	31	1	1,560,000$
12	Jacob MacDonald				X	100.00	77	71	88	67	74	77	82	58	25	50	52	66	52	49	49	0	50	62	0	26	2	800,000$
13	Jeremy Lauzon				X	100.00	80	71	68	65	75	66	72	56	25	42	46	77	25	53	53	0	50	62	0	22	1	825,000$
14	Paul Ladue				X	100.00	77	65	84	77	75	61	61	58	25	48	50	62	49	50	51	0	50	60	0	27	1	925,000$
15	Nelson Nogier				X	100.00	74	71	80	65	72	70	84	46	25	36	38	63	37	44	44	0	50	58	0	23	2	725,000$
16	Josh Brook (R)				X	100.00	73	71	79	69	71	73	80	47	25	37	41	59	39	44	44	0	50	57	0	20	4	795,000$
17	Nicolas Meloche				X	100.00	76	76	75	68	76	64	65	47	25	38	39	61	37	44	44	0	50	57	0	22	1	825,000$
Rayé
1	Oscar Lindberg	X	X	X		100.00	63	35	83	68	70	59	69	53	80	48	58	60	44	47	40	0	50	56	0	27	0	0$
2	Kyle Criscuolo	X				100.00	70	63	89	62	60	64	63	58	73	56	54	61	53	44	44	0	50	56	0	27	1	450,000$
3	Mark McNeill	X		X		100.00	46	35	92	64	74	48	29	31	35	31	31	64	45	37	34	0	50	44	0	26	0	0$
4	Julius Nattinen (R)	X				100.00	39	45	45	45	66	36	36	39	45	39	39	45	42	32	30	0	50	41	0	22	1	825,000$
5	Matt Iacopelli (R)		X	X		100.00	35	43	43	43	65	33	33	35	43	35	35	43	39	32	30	0	50	38	0	25	2	710,000$
6	Conor Timmins (R)				X	100.00	71	69	74	65	69	49	47	57	25	58	41	61	39	44	44	0	50	55	0	21	4	925,000$
7	Andrei Mironov				X	100.00	52	35	66	60	64	46	32	45	35	44	46	64	46	35	32	0	50	50	0	25	1	650,000$

	MOYENNE D'ÉQUIPE					100.00	66	58	77	65	69	61	63	52	45	48	48	60	46	45	44	0	50	55

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Cayden Primeau (R)	100.00	60	65	81	73	58	65	59	65	63	62	30	44	44	0	50	61	0
2	Peyton Jones (R)	100.00	52	70	68	73	48	54	48	51	48	50	50	62	62	0	50	55	0
Rayé
1	Chase Perry (R)	100.00	32	37	34	69	32	31	31	31	31	31	29	32	30	0	50	36	0

	MOYENNE D'ÉQUIPE	100.00	48	57	61	72	46	50	46	49	47	48	36	46	45	0	50	51

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

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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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Nathan Walker	Bruins (Bos)	LW	82	35	42	77	-1	40	0	157	122	346	103	266	10.12%	15	1694	20.67	10	12	22	54	199	0	2	2	5	129	8	1	46.85%	222	0	0	0.91	1	8	0	0	0	5	6	4
2	Jeremy Lauzon	Bruins (Bos)	D	79	26	45	71	-18	87	15	220	98	196	68	132	13.27%	130	1699	21.52	15	18	33	109	199	1	1	2	5	190	2	2	0.00%	0	1	0	0.84	0	0	0	1	2	5	6	4
3	Zach Gallant	Bruins (Bos)	C	81	24	41	65	2	22	0	143	185	232	58	158	10.34%	13	1690	20.86	5	12	17	32	192	1	1	2	9	165	1	1	53.19%	1989	0	2	0.77	2	7	0	0	0	5	1	3
4	Jacob MacDonald	Bruins (Bos)	D	82	16	41	57	-10	85	25	95	115	193	71	133	8.29%	139	1769	21.58	7	16	23	90	206	0	0	0	3	212	2	0	0.00%	0	0	0	0.64	0	0	2	2	1	1	2	3
5	Tyler Sheehy	Bruins (Bos)	C/LW/RW	71	22	28	50	-13	4	0	4	142	292	69	173	7.53%	9	1665	23.46	8	7	15	53	177	0	0	0	10	239	3	1	53.91%	690	0	0	0.60	5	9	0	0	0	0	2	0
6	Barrett Hayton	Bruins (Bos)	C/LW	74	17	32	49	1	42	0	109	176	210	60	178	8.10%	5	1247	16.86	2	5	7	22	77	0	0	0	4	46	3	0	47.76%	959	0	0	0.79	1	4	0	0	0	0	2	6
7	Jack Kopacka	Bruins (Bos)	LW	82	18	27	45	11	51	5	124	97	212	56	159	8.49%	20	1249	15.24	3	6	9	18	75	0	0	0	0	26	2	1	49.02%	102	0	1	0.72	0	2	0	0	1	1	5	1
8	Kyle Criscuolo	Bruins (Bos)	C	81	15	30	45	-2	22	0	114	133	198	54	159	7.58%	15	1425	17.60	0	3	3	16	91	0	0	0	1	16	3	2	54.05%	655	0	0	0.63	0	1	0	0	0	1	1	2
9	Jonathan Ang	Bruins (Bos)	C	82	16	27	43	-2	26	0	110	93	198	64	151	8.08%	20	1364	16.64	3	8	11	26	122	0	0	0	0	25	2	2	56.19%	210	0	0	0.63	0	0	0	0	0	2	4	3
10	Morgan Klimchuk	Bruins (Bos)	LW	61	22	19	41	5	24	0	98	94	178	51	146	12.36%	10	991	16.25	1	0	1	4	15	0	0	0	1	59	3	4	45.45%	121	0	0	0.83	0	2	0	0	0	4	1	4
11	Paul Ladue	Bruins (Bos)	D	82	12	26	38	-8	48	0	141	67	141	39	92	8.51%	114	1572	19.17	5	10	15	60	160	0	0	0	1	172	1	1	0.00%	0	0	0	0.48	0	0	0	0	0	1	1	1
12	Ross Colton	Bruins (Bos)	C/LW	63	13	24	37	3	37	5	125	137	205	53	150	6.34%	11	915	14.53	0	1	1	7	36	0	0	0	3	66	2	0	60.08%	794	0	0	0.81	2	3	0	0	1	1	0	3
13	Connor Dewar	Bruins (Bos)	C/LW	82	13	14	27	5	12	0	90	85	137	47	118	9.49%	9	1056	12.88	2	4	6	21	77	0	0	0	2	18	1	2	59.86%	147	0	0	0.51	0	0	0	0	0	0	1	1
14	Zach Redmond	Bruins (Bos)	D	58	2	25	27	0	37	5	121	63	81	26	92	2.47%	92	1202	20.73	0	10	10	36	136	0	0	0	2	144	0	0	0.00%	0	0	0	0.45	0	0	0	1	0	0	0	3
15	Logan Shaw	Boston	C/RW	28	13	12	25	1	22	0	56	103	108	22	83	12.04%	19	623	22.25	3	5	8	18	69	0	0	0	4	72	1	1	55.51%	917	0	1	0.80	0	2	0	0	0	3	1	2
16	Brett Kulak	Boston	D	31	2	18	20	-7	8	0	42	43	62	27	59	3.23%	38	755	24.38	0	3	3	18	92	0	0	0	0	84	0	0	0.00%	0	0	0	0.53	0	0	0	0	0	1	1	1
17	Nelson Nogier	Bruins (Bos)	D	82	3	17	20	18	66	10	121	31	60	20	42	5.00%	83	1134	13.83	0	0	0	2	19	0	0	0	0	24	2	0	0.00%	0	0	0	0.35	0	0	0	1	0	0	1	0
18	Sam Anas	Boston	C/RW	13	5	11	16	4	2	0	20	51	65	23	49	7.69%	3	328	25.29	2	1	3	12	34	0	0	0	3	41	0	0	58.16%	478	0	0	0.97	0	2	0	0	0	1	0	0
19	Josh Brook	Bruins (Bos)	D	73	4	9	13	6	18	0	72	19	29	8	21	13.79%	51	767	10.52	0	0	0	1	3	0	0	0	0	57	0	0	0.00%	0	0	0	0.34	0	0	0	0	0	0	1	1
20	Nicolas Meloche	Bruins (Bos)	D	81	1	12	13	13	36	10	75	35	30	12	29	3.33%	44	749	9.25	0	0	0	0	4	0	0	0	0	56	0	0	0.00%	0	0	0	0.35	0	0	1	1	0	0	0	0
21	Conor Timmins	Bruins (Bos)	D	38	1	9	10	4	6	0	23	17	18	4	7	5.56%	17	258	6.80	0	0	0	0	0	0	0	0	0	2	0	0	50.00%	2	0	0	0.77	0	0	0	0	0	0	0	0
22	Ben Thomson	Bruins (Bos)	LW/RW	16	1	0	1	-6	2	0	12	7	21	6	16	4.76%	7	304	19.03	0	0	0	7	48	0	0	0	0	0	0	0	32.14%	28	0	0	0.07	0	0	0	0	0	0	0	0
23	Andrei Mironov	Bruins (Bos)	D	3	0	0	0	-1	0	0	0	2	0	2	0	0.00%	2	17	5.93	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1425	281	509	790	5	697	75	2072	1915	3212	943	2413	8.75%	866	24484	17.18	66	121	187	606	2041	2	4	6	53	1853	36	18	53.75%	7314	1	4	0.65	11	40	3	6	5	31	36	42

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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	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Cayden Primeau	Bruins (Bos)	82	38	34	10	0.914	3.18	4850	10	257	2994	4	3	0.690	42	82	0	8	7	3
2	Peyton Jones	Bruins (Bos)	4	0	0	0	0.958	1.54	117	0	3	72	0	0	0.000	0	0	82	0	0	0
Stats d'équipe Total ou en Moyenne			86	38	34	10	0.915	3.14	4968	10	260	3066	4	3	0.690	42	82	82	8	7	3

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Astuces sur les Filtres (Anglais seulement)

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

Nom du 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	Salaire Année 4	Link
Andrei Mironov	Bruins (Bos)	D	25	1994-07-29	No	194 Lbs	6 ft3	No	No	No	1	Pro & Farm	650,000$	65,000$	0$	No				Lien
Barrett Hayton	Bruins (Bos)	C/LW	19	2000-06-08	Yes	190 Lbs	6 ft1	No	No	No	4	Pro & Farm	894,169$	89,417$	0$	No	894,169$	894,169$	894,169$	Lien
Ben Thomson	Bruins (Bos)	LW/RW	26	1993-01-16	Yes	205 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,000,000$	100,000$	0$	No	1,000,000$	1,000,000$		Lien
Cayden Primeau	Bruins (Bos)	G	20	1999-08-11	Yes	181 Lbs	6 ft3	No	No	No	3	Pro & Farm	880,833$	88,083$	0$	No	880,833$	880,833$		Lien
Chase Perry	Bruins (Bos)	G	23	1996-02-08	Yes	189 Lbs	6 ft2	No	No	No	1	Pro & Farm	560,000$	56,000$	0$	No				Lien
Connor Dewar	Bruins (Bos)	C/LW	20	1999-06-26	Yes	176 Lbs	5 ft10	No	No	No	4	Pro & Farm	825,834$	82,583$	0$	No	825,834$	825,834$	825,834$	Lien
Conor Timmins	Bruins (Bos)	D	21	1998-09-18	Yes	184 Lbs	6 ft2	No	No	No	4	Pro & Farm	925,000$	92,500$	0$	No	925,000$	925,000$	925,000$	Lien
Jack Kopacka	Bruins (Bos)	LW	21	1998-05-05	No	192 Lbs	6 ft2	No	No	No	2	Pro & Farm	742,500$	74,250$	0$	No	742,500$			Lien
Jacob MacDonald	Bruins (Bos)	D	26	1993-02-26	No	207 Lbs	6 ft0	No	No	No	2	Pro & Farm	800,000$	80,000$	0$	No	800,000$			Lien
Jeremy Lauzon	Bruins (Bos)	D	22	1997-04-28	No	204 Lbs	6 ft1	No	No	No	1	Pro & Farm	825,000$	82,500$	0$	No				Lien
Jonathan Ang	Bruins (Bos)	C	21	1998-01-31	No	165 Lbs	5 ft11	No	No	No	2	Pro & Farm	742,500$	74,250$	0$	No	742,500$			Lien
Josh Brook	Bruins (Bos)	D	20	1999-06-17	Yes	192 Lbs	6 ft1	No	No	No	4	Pro & Farm	795,000$	79,500$	0$	No	795,000$	795,000$	795,000$	Lien
Julius Nattinen	Bruins (Bos)	C	22	1997-01-14	Yes	192 Lbs	6 ft2	No	No	No	1	Pro & Farm	825,000$	82,500$	0$	No				Lien
Kyle Criscuolo	Bruins (Bos)	C	27	1992-05-05	No	170 Lbs	5 ft8	No	No	No	1	Pro & Farm	450,000$	45,000$	0$	No				Lien
Mark McNeill	Bruins (Bos)	C/RW	26	1993-02-22	No	214 Lbs	6 ft2	No	No	No	0	Pro & Farm		0$	0$	No				Lien
Matt Iacopelli	Bruins (Bos)	LW/RW	25	1994-05-15	Yes	192 Lbs	6 ft1	No	No	No	2	Pro & Farm	710,000$	71,000$	0$	No	710,000$			Lien
Morgan Klimchuk	Bruins (Bos)	LW	24	1995-03-01	No	185 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	92,500$	0$	No	925,000$			Lien
Nathan Walker	Bruins (Bos)	LW	25	1994-02-06	No	175 Lbs	5 ft9	No	No	No	4	Pro & Farm	1,000,000$	100,000$	0$	No	1,000,000$	1,000,000$	1,000,000$	Lien
Nelson Nogier	Bruins (Bos)	D	23	1996-05-26	No	191 Lbs	6 ft2	No	No	No	2	Pro & Farm	725,000$	72,500$	0$	No	725,000$			Lien
Nicolas Meloche	Bruins (Bos)	D	22	1997-07-18	No	204 Lbs	6 ft3	No	No	No	1	Pro & Farm	825,000$	82,500$	0$	No				Lien
Oscar Lindberg	Bruins (Bos)	C/LW/RW	27	1991-10-29	No	202 Lbs	6 ft1	No	No	No	0	Pro & Farm		0$	0$	No				Lien
Paul Ladue	Bruins (Bos)	D	27	1992-09-06	No	201 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	92,500$	0$	No				Lien
Peyton Jones	Bruins (Bos)	G	23	1996-02-14	Yes	198 Lbs	6 ft3	No	No	No	4	Pro & Farm	525,000$	52,500$	0$	No	525,000$	525,000$	525,000$	Lien
Ross Colton	Bruins (Bos)	C/LW	23	1996-09-11	No	209 Lbs	6 ft0	No	No	No	2	Pro & Farm	650,000$	65,000$	0$	No	650,000$			Lien
Tyler Sheehy	Bruins (Bos)	C/LW/RW	23	1995-11-20	Yes	185 Lbs	5 ft10	No	No	No	4	Pro & Farm	525,000$	52,500$	0$	No	525,000$	525,000$	525,000$	Lien
Zach Gallant	Bruins (Bos)	C	20	1999-03-06	Yes	193 Lbs	6 ft2	No	No	No	4	Pro & Farm	525,000$	52,500$	0$	No	525,000$	525,000$	525,000$	Lien
Zach Redmond	Bruins (Bos)	D	31	1988-07-25	No	208 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,560,000$	156,000$	0$	No				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
27	23.41	193 Lbs	6 ft1	2.22	733,735$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Tyler Sheehy	Ross Colton		40	1	2	2
2	Nathan Walker	Zach Gallant	Jonathan Ang	30	1	2	2
3	Connor Dewar	Barrett Hayton	Jack Kopacka	20	1	2	2
4	Jack Kopacka		Ross Colton	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob MacDonald	Jeremy Lauzon	40	1	2	2
2	Zach Redmond	Paul Ladue	30	1	2	2
3	Nelson Nogier	Nicolas Meloche	20	1	2	2
4	Josh Brook		10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Tyler Sheehy	Ross Colton		60	1	2	2
2	Nathan Walker	Zach Gallant	Jonathan Ang	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob MacDonald	Jeremy Lauzon	60	1	2	2
2	Zach Redmond	Paul Ladue	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ross Colton	Tyler Sheehy	60	1	2	2
2	Zach Gallant	Nathan Walker	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob MacDonald	Jeremy Lauzon	60	1	2	2
2	Zach Redmond	Paul Ladue	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Ross Colton	60	1	2	2	Jacob MacDonald	Jeremy Lauzon	60	1	2	2
2	Tyler Sheehy	40	1	2	2	Zach Redmond	Paul Ladue	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ross Colton	Tyler Sheehy	60	1	2	2
2	Zach Gallant	Nathan Walker	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob MacDonald	Jeremy Lauzon	60	1	2	2
2	Zach Redmond	Paul Ladue	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Tyler Sheehy	Ross Colton		Jacob MacDonald	Jeremy Lauzon

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Tyler Sheehy	Ross Colton		Jacob MacDonald	Jeremy Lauzon

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Barrett Hayton, Connor Dewar, Jonathan Ang	Barrett Hayton, Connor Dewar	Jonathan Ang

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Nelson Nogier, Nicolas Meloche, Josh Brook	Nelson Nogier	Nicolas Meloche, Josh Brook

Tirs de Pénalité
Ross Colton, Tyler Sheehy, Zach Gallant, Nathan Walker, Barrett Hayton

Gardien
#1 : Cayden Primeau, #2 : Peyton Jones

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	Admirals	2	1	1	0	0	0	0	0	3	6	-3	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	3	5	8	0	0	99	80	93	11	92	984	1003	1083	71	70	19	11	40	5	0	0.00%	3	0	100.00%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
2	Baby Hawks	2	1	1	0	0	0	0	0	8	7	1	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	5	3	2	2	0.500	8	14	22	0	0	99	80	93	11	65	984	1003	1083	71	82	25	18	47	9	4	44.44%	7	1	85.71%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
3	Bears	3	1	0	0	0	0	1	1	12	11	1	2	1	0	0	0	0	1	0	7	5	2	1	0	0	0	0	0	0	1	5	6	-1	5	0.833	12	18	30	0	0	99	80	93	11	130	984	1003	1083	71	126	32	22	95	11	4	36.36%	10	1	90.00%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
4	Cabaret Lady Mary Ann	4	3	0	0	0	0	0	1	21	10	11	2	2	0	0	0	0	0	0	13	3	10	2	1	0	0	0	0	0	1	8	7	1	7	0.875	21	36	57	0	0	99	80	93	11	218	984	1003	1083	71	164	42	26	101	7	3	42.86%	12	2	83.33%	1	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
5	Caroline	3	2	1	0	0	0	0	0	11	7	4	2	1	1	0	0	0	0	0	5	5	0	1	1	0	0	0	0	0	0	6	2	4	4	0.667	11	19	30	0	0	99	80	93	11	107	984	1003	1083	71	114	31	40	59	11	4	36.36%	10	2	80.00%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
6	Chiefs	2	1	1	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	6	12	18	0	0	99	80	93	11	52	984	1003	1083	71	74	29	25	50	8	2	25.00%	10	3	70.00%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
7	Chill	2	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	5	10	15	1	0	99	80	93	11	61	984	1003	1083	71	80	32	8	43	4	0	0.00%	4	1	75.00%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
8	Comets	2	1	1	0	0	0	0	0	10	9	1	1	0	1	0	0	0	0	0	5	7	-2	1	1	0	0	0	0	0	0	5	2	3	2	0.500	10	17	27	1	0	99	80	93	11	71	984	1003	1083	71	105	30	22	39	6	3	50.00%	11	2	81.82%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
9	Cougars	4	1	2	0	0	0	0	1	11	16	-5	2	0	2	0	0	0	0	0	3	9	-6	2	1	0	0	0	0	0	1	8	7	1	3	0.375	11	19	30	0	0	99	80	93	11	142	984	1003	1083	71	151	42	32	109	19	4	21.05%	15	3	80.00%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
10	Crunch	4	2	1	0	0	0	1	0	18	15	3	2	1	1	0	0	0	0	0	8	8	0	2	1	0	0	0	0	1	0	10	7	3	6	0.750	18	30	48	1	0	99	80	93	11	145	984	1003	1083	71	174	58	31	94	12	5	41.67%	12	4	66.67%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
11	Heat	2	0	2	0	0	0	0	0	6	8	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	6	12	18	0	0	99	80	93	11	81	984	1003	1083	71	69	18	14	56	3	0	0.00%	6	1	83.33%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
12	Jayhawks	2	1	0	0	0	0	1	0	7	4	3	1	0	0	0	0	0	1	0	3	2	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	7	11	18	0	0	99	80	93	11	96	984	1003	1083	71	77	21	15	53	8	2	25.00%	5	0	100.00%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
13	Las Vegas	2	0	1	0	0	0	0	1	5	7	-2	1	0	0	0	0	0	0	1	4	5	-1	1	0	1	0	0	0	0	0	1	2	-1	1	0.250	5	9	14	0	0	99	80	93	11	92	984	1003	1083	71	72	20	20	45	3	0	0.00%	9	0	100.00%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
14	Manchots	3	0	2	0	0	1	0	0	10	14	-4	2	0	2	0	0	0	0	0	7	10	-3	1	0	0	0	0	1	0	0	3	4	-1	1	0.167	10	18	28	0	0	99	80	93	11	110	984	1003	1083	71	136	35	36	60	12	1	8.33%	11	3	72.73%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
15	Marlies	4	1	3	0	0	0	0	0	10	15	-5	2	1	1	0	0	0	0	0	5	6	-1	2	0	2	0	0	0	0	0	5	9	-4	2	0.250	10	19	29	0	0	99	80	93	11	108	984	1003	1083	71	158	46	34	97	12	3	25.00%	17	2	88.24%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
16	Minnesota	2	2	0	0	0	0	0	0	14	5	9	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	8	3	5	4	1.000	14	27	41	0	0	99	80	93	11	115	984	1003	1083	71	58	15	8	64	2	1	50.00%	4	1	75.00%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
17	Monarchs	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	9	17	26	0	0	99	80	93	11	90	984	1003	1083	71	88	18	17	51	5	0	0.00%	4	1	75.00%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
18	Monsters	3	1	1	0	0	0	0	1	9	10	-1	2	1	1	0	0	0	0	0	6	6	0	1	0	0	0	0	0	0	1	3	4	-1	3	0.500	9	17	26	0	0	99	80	93	11	108	984	1003	1083	71	105	19	22	82	10	2	20.00%	10	4	60.00%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
19	Monsters	2	0	2	0	0	0	0	0	6	8	-2	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	6	11	17	0	0	99	80	93	11	67	984	1003	1083	71	66	20	4	34	5	0	0.00%	2	0	100.00%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
20	Oceanics	2	1	0	0	0	1	0	0	8	5	3	1	0	0	0	0	1	0	0	1	2	-1	1	1	0	0	0	0	0	0	7	3	4	3	0.750	8	14	22	0	0	99	80	93	11	56	984	1003	1083	71	70	26	14	51	6	2	33.33%	7	1	85.71%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
21	Oil Kings	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	7	14	21	0	0	99	80	93	11	68	984	1003	1083	71	95	20	23	63	9	4	44.44%	8	3	62.50%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
22	Phantoms	3	2	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	1	4	-3	2	2	0	0	0	0	0	0	5	2	3	4	0.667	6	12	18	0	0	99	80	93	11	89	984	1003	1083	71	103	29	26	94	9	2	22.22%	13	1	92.31%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
23	Rocket	4	2	2	0	0	0	0	0	15	17	-2	2	1	1	0	0	0	0	0	7	7	0	2	1	1	0	0	0	0	0	8	10	-2	4	0.500	15	23	38	0	0	99	80	93	11	140	984	1003	1083	71	162	54	24	102	13	6	46.15%	11	2	81.82%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
24	Senators	4	1	3	0	0	0	0	0	6	12	-6	2	0	2	0	0	0	0	0	1	4	-3	2	1	1	0	0	0	0	0	5	8	-3	2	0.250	6	11	17	0	0	99	80	93	11	149	984	1003	1083	71	138	43	35	89	11	1	9.09%	13	0	100.00%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
25	Sharks	2	0	1	0	0	0	0	1	4	8	-4	1	0	1	0	0	0	0	0	2	5	-3	1	0	0	0	0	0	0	1	2	3	-1	1	0.250	4	7	11	0	0	99	80	93	11	63	984	1003	1083	71	67	17	41	48	8	2	25.00%	11	4	63.64%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
26	Sound Tigers	3	1	0	0	1	1	0	0	14	12	2	1	1	0	0	0	0	0	0	4	2	2	2	0	0	0	1	1	0	0	10	10	0	5	0.833	14	23	37	0	0	99	80	93	11	134	984	1003	1083	71	102	34	26	86	9	2	22.22%	11	3	72.73%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
27	Spiders	3	0	2	0	0	0	0	1	4	9	-5	1	0	0	0	0	0	0	1	2	3	-1	2	0	2	0	0	0	0	0	2	6	-4	1	0.167	4	7	11	0	0	99	80	93	11	101	984	1003	1083	71	103	23	33	54	14	1	7.14%	14	2	85.71%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
28	Stars	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	5	9	14	0	0	99	80	93	11	55	984	1003	1083	71	72	14	16	54	5	2	40.00%	8	2	75.00%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
29	Thunder	4	2	2	0	0	0	0	0	13	8	5	2	2	0	0	0	0	0	0	11	4	7	2	0	2	0	0	0	0	0	2	4	-2	4	0.500	13	26	39	0	0	99	80	93	11	162	984	1003	1083	71	96	26	21	70	10	3	30.00%	9	2	77.78%	0	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
	Total	82	34	34	0	1	3	3	7	276	270	6	41	18	18	0	0	1	2	2	132	127	5	41	16	16	0	1	2	1	5	144	143	1	86	0.524	276	491	767	3	0	99	80	93	11	3100	984	1003	1083	71	3069	863	693	2015	257	66	25.68%	278	54	80.58%	2	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
30	Wolf Pack	3	3	0	0	0	0	0	0	13	7	6	1	1	0	0	0	0	0	0	4	2	2	2	2	0	0	0	0	0	0	9	5	4	6	1.000	13	24	37	0	0	99	80	93	11	133	984	1003	1083	71	92	25	29	85	11	3	27.27%	11	3	72.73%	1	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
	_Since Last GM Reset	82	34	34	0	1	3	3	7	276	270	6	41	18	18	0	0	1	2	2	132	127	5	41	16	16	0	1	2	1	5	144	143	1	86	0.524	276	491	767	3	0	99	80	93	11	3100	984	1003	1083	71	3069	863	693	2015	257	66	25.68%	278	54	80.58%	2	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
	_Vs Conference	43	16	18	0	1	3	1	4	126	139	-13	21	9	9	0	0	1	1	1	60	63	-3	22	7	9	0	1	2	0	3	66	76	-10	43	0.500	126	228	354	1	0	99	80	93	11	1586	984	1003	1083	71	1534	424	375	1045	137	26	18.98%	148	28	81.08%	1	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541
	_Vs Division	28	4	6	0	0	1	0	1	94	93	1	14	2	3	0	0	1	0	0	48	41	7	14	2	3	0	0	0	0	1	46	52	-6	10	0.179	94	164	258	1	0	99	80	93	11	1064	984	1003	1083	71	1043	311	203	662	84	25	29.76%	89	15	83.15%	1	1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%	2028	1399	1890	591	1058	541

			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
82	86	W1	276	491	767	3100	3069	863	693	2015	3	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	34	34	1	3	3	7	276	270

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	18	0	1	2	2	132	127

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	16	16	1	2	1	5	144	143

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	4	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
257	66	25.68%	278	54	80.58%	2

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
984	1003	1083	71	99	80	93	11

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
1650	3070	53.75%	1578	3043	51.86%	715	1301	54.96%

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
2028	1399	1890	591	1058	541

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 - 2020-10-23	10	Bruins	1	Stars	3	L			Sommaire du Match
4 - 2020-10-25	26	Bruins	4	Jayhawks	2	W			Sommaire du Match
7 - 2020-10-28	43	Bruins	1	Las Vegas	2	L			Sommaire du Match
9 - 2020-10-30	56	Bruins	3	Monsters	4	L			Sommaire du Match
11 - 2020-11-01	65	Spiders	3	Bruins	2	L	X	X	Sommaire du Match
13 - 2020-11-03	78	Admirals	1	Bruins	2	W			Sommaire du Match
16 - 2020-11-06	98	Thunder	3	Bruins	5	W			Sommaire du Match
18 - 2020-11-08	116	Bruins	2	Marlies	5	L			Sommaire du Match
21 - 2020-11-11	133	Marlies	1	Bruins	4	W			Sommaire du Match
25 - 2020-11-15	162	Chiefs	1	Bruins	3	W			Sommaire du Match
26 - 2020-11-16	175	Bruins	5	Wolf Pack	2	W			Sommaire du Match
28 - 2020-11-18	179	Sharks	5	Bruins	2	L			Sommaire du Match
32 - 2020-11-22	207	Senators	2	Bruins	1	L			Sommaire du Match
34 - 2020-11-24	220	Manchots	4	Bruins	2	L			Sommaire du Match
35 - 2020-11-25	224	Bruins	7	Rocket	5	W			Sommaire du Match
38 - 2020-11-28	249	Bruins	4	Cougars	2	W			Sommaire du Match
40 - 2020-11-30	268	Phantoms	4	Bruins	1	L			Sommaire du Match
42 - 2020-12-02	272	Cabaret Lady Mary Ann	2	Bruins	7	W			Sommaire du Match
45 - 2020-12-05	294	Bruins	3	Marlies	4	L			Sommaire du Match
46 - 2020-12-06	303	Bears	2	Bruins	3	W	X	X	Sommaire du Match
49 - 2020-12-09	320	Bruins	2	Spiders	4	L			Sommaire du Match
51 - 2020-12-11	333	Crunch	3	Bruins	5	W			Sommaire du Match
53 - 2020-12-13	353	Minnesota	2	Bruins	6	W			Sommaire du Match
56 - 2020-12-16	374	Bruins	1	Rocket	5	L			Sommaire du Match
57 - 2020-12-17	378	Bruins	4	Senators	3	W			Sommaire du Match
59 - 2020-12-19	391	Wolf Pack	2	Bruins	4	W			Sommaire du Match
61 - 2020-12-21	417	Rocket	6	Bruins	2	L			Sommaire du Match
63 - 2020-12-23	424	Caroline	3	Bruins	2	L			Sommaire du Match
65 - 2020-12-25	438	Baby Hawks	4	Bruins	3	L			Sommaire du Match
67 - 2020-12-27	455	Monsters	4	Bruins	3	L			Sommaire du Match
69 - 2020-12-29	470	Bruins	1	Senators	5	L			Sommaire du Match
71 - 2020-12-31	484	Bruins	5	Bears	6	L	X	X	Sommaire du Match
72 - 2021-01-01	488	Bruins	0	Thunder	1	L			Sommaire du Match
74 - 2021-01-03	510	Bruins	4	Cabaret Lady Mary Ann	5	L	X	X	Sommaire du Match
77 - 2021-01-06	524	Monarchs	3	Bruins	4	W			Sommaire du Match
79 - 2021-01-08	538	Sound Tigers	2	Bruins	4	W			Sommaire du Match
81 - 2021-01-10	556	Chill	6	Bruins	3	L			Sommaire du Match
83 - 2021-01-12	571	Bears	3	Bruins	4	W			Sommaire du Match
87 - 2021-01-16	582	Bruins	5	Crunch	3	W			Sommaire du Match
89 - 2021-01-18	606	Crunch	5	Bruins	3	L			Sommaire du Match
91 - 2021-01-20	613	Bruins	0	Spiders	2	L			Sommaire du Match
93 - 2021-01-22	627	Monsters	4	Bruins	3	L			Sommaire du Match
95 - 2021-01-24	641	Oil Kings	1	Bruins	3	W			Sommaire du Match
98 - 2021-01-27	671	Bruins	2	Chill	4	L			Sommaire du Match
100 - 2021-01-29	678	Oceanics	2	Bruins	1	L	X		Sommaire du Match
102 - 2021-01-31	694	Bruins	5	Sound Tigers	4	W	X		Sommaire du Match
104 - 2021-02-02	711	Bruins	3	Phantoms	1	W			Sommaire du Match
105 - 2021-02-03	719	Bruins	3	Monsters	4	L	X	X	Sommaire du Match
107 - 2021-02-05	727	Manchots	6	Bruins	5	L			Sommaire du Match
110 - 2021-02-08	755	Bruins	3	Manchots	4	L	X		Sommaire du Match
112 - 2021-02-10	761	Las Vegas	5	Bruins	4	L	X	X	Sommaire du Match
122 - 2021-02-20	789	Bruins	7	Oceanics	3	W			Sommaire du Match
123 - 2021-02-21	802	Bruins	8	Minnesota	3	W			Sommaire du Match
126 - 2021-02-24	812	Comets	7	Bruins	5	L			Sommaire du Match
127 - 2021-02-25	826	Bruins	5	Baby Hawks	3	W			Sommaire du Match
130 - 2021-02-28	844	Jayhawks	2	Bruins	3	W	X	X	Sommaire du Match
131 - 2021-03-01	855	Bruins	4	Cougars	5	L	X	X	Sommaire du Match
134 - 2021-03-04	877	Rocket	1	Bruins	5	W			Sommaire du Match
137 - 2021-03-07	895	Cougars	5	Bruins	3	L			Sommaire du Match
138 - 2021-03-08	907	Bruins	4	Wolf Pack	3	W			Sommaire du Match
141 - 2021-03-11	928	Bruins	4	Oil Kings	6	L			Sommaire du Match
143 - 2021-03-13	945	Bruins	4	Heat	5	L			Sommaire du Match
144 - 2021-03-14	956	Bruins	5	Comets	2	W			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
147 - 2021-03-17	968	Heat	3	Bruins	2	L			Sommaire du Match
149 - 2021-03-19	984	Stars	3	Bruins	4	W			Sommaire du Match
151 - 2021-03-21	999	Bruins	5	Sound Tigers	6	L	X		Sommaire du Match
154 - 2021-03-24	1019	Bruins	2	Thunder	3	L			Sommaire du Match
156 - 2021-03-26	1035	Bruins	4	Cabaret Lady Mary Ann	2	W			Sommaire du Match
158 - 2021-03-28	1054	Thunder	1	Bruins	6	W			Sommaire du Match
161 - 2021-03-31	1073	Bruins	2	Phantoms	1	W			Sommaire du Match
164 - 2021-04-03	1093	Bruins	5	Crunch	4	W	X	X	Sommaire du Match
165 - 2021-04-04	1101	Marlies	5	Bruins	1	L			Sommaire du Match
167 - 2021-04-06	1118	Monsters	2	Bruins	3	W			Sommaire du Match
169 - 2021-04-08	1136	Bruins	1	Admirals	5	L			Sommaire du Match
170 - 2021-04-09	1144	Bruins	5	Monarchs	3	W			Sommaire du Match
172 - 2021-04-11	1163	Bruins	2	Sharks	3	L	X	X	Sommaire du Match
175 - 2021-04-14	1176	Cougars	4	Bruins	0	L			Sommaire du Match
177 - 2021-04-16	1191	Senators	2	Bruins	0	L			Sommaire du Match
179 - 2021-04-18	1207	Cabaret Lady Mary Ann	1	Bruins	6	W			Sommaire du Match
182 - 2021-04-21	1232	Bruins	6	Caroline	2	W			Sommaire du Match
184 - 2021-04-23	1250	Bruins	3	Chiefs	4	L			Sommaire du Match
186 - 2021-04-25	1260	Caroline	2	Bruins	3	W			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	78,978	39,281
Assistance PCT	96.31%	95.81%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	2884 - 96.15%	81,791$	3,353,445$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,029,717$	1,981,083$	1,981,083$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
10,651$	2,029,717$	25	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	10,651$	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