ASHL - Lake Erie Monsters

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Mathieu Olivier (R)			X		97.00	96	54	68	78	90	81	85	77	65	72	71	76	69	80	88	6	50	0	0
2	Joel L'Esperance	X		X		100.00	81	44	77	77	82	79	74	78	74	71	72	66	75	75	73	5	50	0	0
3	Vadim Vasjonkin (R)		X			100.00	95	44	74	74	89	79	79	79	60	72	73	69	75	68	69	6	50	0	0
4	Justin Auger			X		99.00	95	48	72	75	90	84	83	79	69	73	74	71	72	82	81	5	50	0	0
5	Joseph Cramarossa	X	X			100.00	89	55	70	76	81	82	80	76	75	70	69	74	68	80	82	1	50	0	0
6	Keegan Iverson (R)	X	X			99.00	87	47	72	76	86	83	77	76	73	69	69	66	68	71	71	3	50	0	0
7	Kyle Rau	X	X			100.00	72	35	87	79	71	83	82	77	75	71	70	68	76	80	80	1	50	0	0
8	Frédérick Gaudreau	X		X		100.00	76	38	87	77	77	83	77	75	73	70	70	73	70	80	85	1	50	0	0
9	Oskar Bäck (R)	X				100.00	73	40	95	78	81	77	81	78	78	72	71	72	75	66	67	6	50	0	0
10	Sam Miletic (R)		X			100.00	69	33	85	79	78	82	78	79	67	71	72	66	72	63	63	6	50	0	0
11	Christoph Bertschy	X	X	X		100.00	71	35	83	80	74	82	79	78	75	71	71	67	70	67	67	5	50	0	0
12	Kurtis MacDermid				X	100.00	99	55	68	69	96	80	85	76	50	71	65	88	60	80	82	6	50	0	0
13	Christian Djoos				X	100.00	71	26	88	80	74	82	76	79	50	73	67	85	67	75	83	5	50	0	0
14	Xavier Bernard (R)				X	100.00	76	45	76	73	81	80	81	72	52	69	59	80	60	63	62	5	50	0	0
15	Karlis Cukste (R)				X	100.00	94	47	70	76	89	82	83	76	50	72	65	86	63	69	68	6	50	0	0
16	Stephen Silas				X	100.00	87	44	72	72	85	76	75	77	52	74	67	86	67	84	85	5	50	0	0
17	Patrik Nemeth				X	100.00	92	42	73	72	88	79	76	75	50	73	63	89	60	94	92	5	50	0	0
18	Erik Gustafsson				X	100.00	83	43	75	77	75	80	80	78	50	72	72	84	64	65	66	70	50	0	0
19	Gustav Olofsson				X	100.00	77	32	80	78	85	78	72	78	50	71	66	89	62	73	73	6	50	0	0
Rayé
1	Brendan Warren (R)		X			100.00	65	35	78	76	77	80	79	75	60	68	67	66	68	69	69	3	50	0	0
2	Brett Budgell (R)		X			100.00	61	47	82	75	76	80	81	75	63	69	67	66	72	62	68	5	50	0	0
3	Colin Smith	X		X		100.00	84	39	77	84	79	86	86	80	77	75	72	69	77	93	91	1	50	0	0
4	Arturas Laukaitis (R)		X			100.00	75	38	76	75	73	74	71	74	63	67	67	68	68	61	62	4	50	0	0

	MOYENNE D'ÉQUIPE					99.78	81	42	78	76	82	81	79	77	63	71	69	75	69	74	75	7	50	0

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Mitchell Gibson (R)	100.00	85	82	82	82	82	80	80	80	80	81	82	60	60	8	50	0	0
2	Matej Tomek (R)	97.00	82	80	82	85	83	81	80	81	81	82	81	55	54	4	50	0	0
Rayé
1	Brian Elliott	100.00	84	84	82	90	87	87	91	84	86	89	93	99	99	1	50	0	0
2	Dustin Tokarski	100.00	82	81	82	84	91	86	88	87	86	89	88	89	96	1	50	0	0

	MOYENNE D'ÉQUIPE	99.25	83	82	82	85	86	84	85	83	83	85	86	76	77	4	50	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Benoit Groulx	77	78	78	79	78	80	70	CAN	55	1	950,000$

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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	HT	P/20	PSG	PSS	S1	S2	S3
1	Vadim Vasjonkin	Lake Erie Monsters (COL)	LW	66	21	21	42	-22	42	0	112	49	160	63	128	13.13%	22	1102	16.70	8	8	16	43	194	1	0	1	9	149	3	1	35.56%	45	81	14	0	0.76	0	0	1	3	3
2	Joel L'Esperance	Lake Erie Monsters (COL)	C/RW	62	24	14	38	-22	51	5	89	19	173	44	102	13.87%	13	1057	17.06	9	3	12	31	145	0	0	0	2	24	2	3	50.00%	46	114	5	1	0.72	0	0	2	1	0
3	Mathieu Olivier	Lake Erie Monsters (COL)	RW	66	15	18	33	-8	72	0	122	99	147	39	79	10.20%	40	1507	22.84	4	11	15	27	193	2	1	3	15	287	6	0	44.82%	386	86	24	0	0.44	0	4	3	1	3
4	Joseph Cramarossa	Lake Erie Monsters (COL)	C/LW	56	13	17	30	-9	22	0	53	52	110	36	72	11.82%	22	799	14.28	9	6	15	34	179	0	2	2	12	128	1	2	48.44%	384	65	17	0	0.75	0	4	1	2	3
5	Kyle Rau	Lake Erie Monsters (COL)	C/LW	66	9	21	30	-8	8	0	54	46	150	47	92	6.00%	14	1064	16.13	4	6	10	21	105	0	1	1	2	34	1	0	50.00%	146	110	11	0	0.56	0	0	2	3	0
6	Oskar Bäck	Lake Erie Monsters (COL)	C	66	7	23	30	5	2	0	41	64	107	46	70	6.54%	9	867	13.14	0	1	1	1	16	0	0	0	0	29	0	2	52.42%	538	47	21	0	0.69	0	0	2	1	2
7	Erik Gustafsson	Lake Erie Monsters (COL)	D	64	19	10	29	-7	34	0	55	94	79	31	32	24.05%	77	928	14.51	0	0	0	0	20	0	0	0	2	52	1	4	0.00%	0	39	47	1	0.62	1	1	1	1	3
8	Frédérick Gaudreau	Lake Erie Monsters (COL)	C/RW	66	7	21	28	-25	14	0	56	78	115	33	94	6.09%	24	1191	18.05	2	8	10	18	185	1	0	1	2	64	3	1	50.19%	791	57	25	0	0.47	0	0	1	0	1
9	Christoph Bertschy	Lake Erie Monsters (COL)	C/LW/RW	65	9	18	27	1	16	0	42	39	118	50	89	7.63%	13	904	13.91	0	0	0	1	10	0	0	0	2	18	2	0	46.25%	253	88	14	0	0.60	0	1	1	1	1
10	Colin Smith	Lake Erie Monsters (COL)	C/RW	30	5	14	19	-6	12	0	24	40	68	30	52	7.35%	13	646	21.56	3	5	8	14	88	0	1	1	9	144	0	0	51.29%	464	53	15	0	0.59	2	2	0	0	1
11	Patrik Nemeth	Lake Erie Monsters (COL)	D	66	2	16	18	-25	56	0	97	127	93	44	47	2.15%	117	1476	22.37	1	3	4	28	210	0	1	1	5	258	1	0	0.00%	0	3	74	0	0.24	0	0	0	0	1
12	Kurtis MacDermid	Lake Erie Monsters (COL)	D	51	2	15	17	-20	93	5	103	79	59	36	42	3.39%	76	1091	21.40	0	7	7	11	155	0	0	0	2	175	0	1	0.00%	0	5	58	0	0.31	0	0	1	0	0
13	Sam Miletic	Lake Erie Monsters (COL)	LW	65	7	9	16	3	6	0	8	20	91	32	53	7.69%	4	450	6.93	0	0	0	0	0	0	0	0	0	2	1	0	45.00%	20	40	4	0	0.71	0	0	2	0	0
14	Christian Djoos	Lake Erie Monsters (COL)	D	49	4	11	15	6	2	0	18	54	43	30	23	9.30%	46	703	14.35	2	0	2	4	37	0	1	1	3	63	0	0	0.00%	0	10	27	0	0.43	0	0	1	1	0
15	Karlis Cukste	Lake Erie Monsters (COL)	D	51	2	12	14	-5	54	0	72	86	56	25	31	3.57%	58	898	17.61	0	7	7	14	112	0	0	0	4	122	0	0	0.00%	0	6	48	0	0.31	0	0	0	1	0
16	Justin Auger	Lake Erie Monsters (COL)	RW	29	7	6	13	-6	24	0	44	32	50	17	42	14.00%	12	503	17.36	1	3	4	10	69	1	0	1	2	104	1	0	42.86%	28	29	12	0	0.52	0	2	1	0	0
17	Niklas Hjalmarsson	Colorado Avalanche	D	29	0	12	12	-5	12	0	30	67	33	21	14	0.00%	62	730	25.18	0	2	2	6	92	0	1	1	0	110	0	0	0.00%	0	4	39	0	0.33	0	0	0	1	0
18	Stephen Silas	Lake Erie Monsters (COL)	D	47	3	8	11	0	28	0	54	116	73	26	23	4.11%	56	897	19.09	0	3	3	15	119	0	1	1	2	140	0	0	0.00%	0	9	55	0	0.25	0	0	1	0	0
19	Gustav Olofsson	Lake Erie Monsters (COL)	D	62	5	4	9	-4	18	0	40	105	61	23	27	8.20%	74	946	15.27	0	0	0	5	29	0	0	0	4	62	0	0	0.00%	0	6	43	0	0.19	0	0	1	0	1
20	Ivan Morozov	Colorado Avalanche	C	31	5	2	7	-5	12	0	19	26	47	16	39	10.64%	4	433	13.98	0	0	0	0	1	0	0	0	0	0	0	0	49.27%	205	31	6	0	0.32	0	0	0	0	0
21	Marcus Davidsson	Colorado Avalanche	C/LW/RW	12	1	5	6	-8	2	0	12	17	28	14	16	3.57%	4	235	19.65	1	1	2	4	36	0	0	0	2	38	0	0	36.11%	36	20	1	0	0.51	0	0	0	1	0
22	Keegan Iverson	Lake Erie Monsters (COL)	C/LW	44	1	3	4	-9	18	0	34	21	51	10	27	1.96%	8	415	9.44	0	0	0	0	0	0	0	0	1	25	0	1	50.66%	152	22	10	0	0.19	0	0	1	0	0
23	Brendan Warren	Lake Erie Monsters (COL)	LW	24	0	3	3	0	0	0	1	1	7	4	4	0.00%	0	68	2.87	0	1	1	0	2	0	0	0	3	3	0	0	33.33%	3	4	0	0	0.87	0	0	0	0	0
24	Xavier Bernard	Lake Erie Monsters (COL)	D	35	0	1	1	-7	16	0	11	26	17	6	8	0.00%	19	321	9.18	0	0	0	0	0	0	0	0	0	11	0	0	0.00%	0	1	19	0	0.06	0	0	0	0	0
25	Arturas Laukaitis	Lake Erie Monsters (COL)	LW	24	0	0	0	-1	2	0	4	0	1	1	0	0.00%	0	30	1.26	0	0	0	0	1	0	0	0	0	0	0	0	33.33%	3	1	0	0	0.00	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1226	168	284	452	-187	616	10	1195	1357	1937	724	1206	8.67%	787	19271	15.72	44	75	119	287	2009	5	9	14	83	2053	22	15	49.11%	3500	931	589	2	0.47	3	14	22	17	19

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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	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	Brian Elliott	Lake Erie Monsters (COL)	44	16	22	4	0.890	3.30	2488	137	1247	666	2	1.000	3	44	0	2	2	2
2	Dustin Tokarski	Lake Erie Monsters (COL)	13	6	2	0	0.920	2.28	553	21	264	133	1	1.000	3	7	44	0	2	0
3	Matej Tomek	Lake Erie Monsters (COL)	15	2	9	4	0.890	3.97	817	54	491	278	0	0.667	6	15	0	0	0	2
4	Mitchell Gibson	Lake Erie Monsters (COL)	4	0	1	0	0.861	4.48	134	10	72	35	0	0.000	0	0	22	0	0	0
Stats d'équipe Total ou en Moyenne			76	24	34	8	0.893	3.34	3994	222	2074	1112	3	0.833	12	66	66	2	4	4

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Astuces sur les Filtres (Anglais seulement)

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

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	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3
Arturas Laukaitis	Lake Erie Monsters (COL)	LW	25	1996-01-22 11:02:08	Yes	172 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	192,670$	800,000$	192,670$	0$	0$	No
Brendan Warren	Lake Erie Monsters (COL)	LW	25	1996-01-02 02:28:37	Yes	192 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	168,586$	700,000$	168,586$	0$	0$	No
Brett Budgell	Lake Erie Monsters (COL)	LW	21	2000-01-02 23:45:15	Yes	187 Lbs	6 ft0	No	No	No	2	Pro & Farm	900,000$	216,754$	900,000$	216,754$	0$	0$	No	900,000$
Brian Elliott	Lake Erie Monsters (COL)	G	37	1984-01-22 12:29:38	No	201 Lbs	6 ft3	Yes	No	No	1	Pro & Farm	1,000,000$	240,838$	1,000,000$	240,838$	0$	0$	No
Christian Djoos	Lake Erie Monsters (COL)	D	28	1993-01-02 03:04:02	No	181 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,750,000$	421,466$	1,750,000$	421,466$	0$	0$	No
Christoph Bertschy	Lake Erie Monsters (COL)	C/LW/RW	28	1993-01-22 07:09:40	No	185 Lbs	5 ft10	No	No	No	2	Pro & Farm	1,000,000$	240,838$	1,000,000$	240,838$	0$	0$	No	1,000,000$
Colin Smith	Lake Erie Monsters (COL)	C/RW	29	1992-01-22 08:40:07	No	172 Lbs	5 ft10	No	No	No	1	Pro & Farm	800,000$	192,670$	800,000$	192,670$	0$	0$	No
Dustin Tokarski	Lake Erie Monsters (COL)	G	33	1988-01-22 12:29:38	No	198 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,250,000$	301,047$	1,250,000$	301,047$	0$	0$	No
Erik Gustafsson	Lake Erie Monsters (COL)	D	30	1991-01-22 05:39:34	No	176 Lbs	6 ft0	Yes	No	No	1	Pro & Farm	750,000$	180,628$	750,000$	180,628$	0$	0$	No
Frédérick Gaudreau	Lake Erie Monsters (COL)	C/RW	29	1992-01-22 06:37:22	No	179 Lbs	6 ft0	No	No	No	1	Pro & Farm	800,000$	192,670$	800,000$	192,670$	0$	0$	No
Gustav Olofsson	Lake Erie Monsters (COL)	D	28	1993-01-22 05:45:19	No	196 Lbs	6 ft3	Yes	No	No	2	Pro & Farm	1,500,000$	361,257$	1,500,000$	361,257$	0$	0$	No	1,500,000$
Joel L'Esperance	Lake Erie Monsters (COL)	C/RW	27	1994-01-02 00:17:18	No	216 Lbs	6 ft2	No	No	No	2	Pro & Farm	950,000$	228,796$	950,000$	228,796$	0$	0$	No	950,000$
Joseph Cramarossa	Lake Erie Monsters (COL)	C/LW	30	1991-01-02 02:33:44	No	192 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	180,628$	750,000$	180,628$	0$	0$	No
Justin Auger	Lake Erie Monsters (COL)	RW	28	1993-01-22 12:58:49	No	216 Lbs	6 ft6	No	No	No	2	Pro & Farm	2,000,000$	481,675$	2,000,000$	481,675$	0$	0$	No	2,000,000$
Karlis Cukste	Lake Erie Monsters (COL)	D	25	1996-01-22 12:02:46	Yes	220 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,650,000$	397,382$	1,650,000$	397,382$	0$	0$	No
Keegan Iverson	Lake Erie Monsters (COL)	C/LW	26	1995-01-02 02:41:31	Yes	218 Lbs	6 ft1	No	No	No	1	Pro & Farm	850,000$	204,712$	850,000$	204,712$	0$	0$	No
Kurtis MacDermid	Lake Erie Monsters (COL)	D	28	1993-01-02 10:20:43	No	234 Lbs	6 ft5	No	No	No	2	Pro & Farm	1,200,000$	289,005$	1,200,000$	289,005$	0$	0$	No	1,200,000$
Kyle Rau	Lake Erie Monsters (COL)	C/LW	30	1991-01-02 02:52:23	No	176 Lbs	5 ft8	No	No	No	1	Pro & Farm	850,000$	204,712$	850,000$	204,712$	0$	0$	No
Matej Tomek	Lake Erie Monsters (COL)	G	25	1996-01-22 05:16:38	Yes	183 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	222,775$	925,000$	222,775$	0$	0$	No
Mathieu Olivier	Lake Erie Monsters (COL)	RW	25	1996-01-22 01:54:36	Yes	209 Lbs	6 ft2	No	No	No	1	Pro & Farm	950,000$	228,796$	950,000$	228,796$	0$	0$	No
Mitchell Gibson	Lake Erie Monsters (COL)	G	23	1998-01-02 05:47:06	Yes	187 Lbs	6 ft1	No	No	No	3	Pro & Farm	800,000$	192,670$	800,000$	192,670$	0$	0$	No	800,000$	800,000$
Oskar Bäck	Lake Erie Monsters (COL)	C	22	1999-01-21 06:02:15	Yes	205 Lbs	6 ft2	No	No	No	3	Pro & Farm	900,000$	216,754$	900,000$	216,754$	0$	0$	No	900,000$	900,000$
Patrik Nemeth	Lake Erie Monsters (COL)	D	30	1991-01-22 05:41:31	No	233 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,400,000$	337,173$	1,400,000$	337,173$	0$	0$	No
Sam Miletic	Lake Erie Monsters (COL)	LW	25	1996-01-22 08:35:05	Yes	196 Lbs	6 ft0	No	No	No	1	Pro & Farm	950,000$	228,796$	950,000$	228,796$	0$	0$	No
Stephen Silas	Lake Erie Monsters (COL)	D	30	1991-01-22 07:24:31	No	206 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,500,000$	361,257$	1,500,000$	361,257$	0$	0$	No
Vadim Vasjonkin	Lake Erie Monsters (COL)	LW	26	1995-01-22 09:17:57	Yes	209 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,000,000$	240,838$	1,000,000$	240,838$	0$	0$	No
Xavier Bernard	Lake Erie Monsters (COL)	D	22	1999-01-02 06:10:05	Yes	205 Lbs	6 ft3	No	No	No	3	Pro & Farm	750,000$	180,628$	750,000$	180,628$	0$	0$	No	750,000$	750,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
27	27.22	198 Lbs	6 ft1	1.44	1,062,037$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Vadim Vasjonkin	Joseph Cramarossa	Mathieu Olivier
2	Kyle Rau	Frédérick Gaudreau	Justin Auger
3	Keegan Iverson	Oskar Bäck	Joel L'Esperance
4	Sam Miletic	Christoph Bertschy	Mathieu Olivier

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kurtis MacDermid	Patrik Nemeth
2	Stephen Silas	Karlis Cukste
3	Christian Djoos	Gustav Olofsson
4	Erik Gustafsson	Xavier Bernard

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Vadim Vasjonkin	Joseph Cramarossa	Mathieu Olivier
2	Kyle Rau	Frédérick Gaudreau	Justin Auger

Défense en Avantage Numérique
Ligne #	Défense	Défense
1	Kurtis MacDermid	Patrik Nemeth
2	Stephen Silas	Karlis Cukste

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Mathieu Olivier	Justin Auger
2	Joseph Cramarossa	Vadim Vasjonkin

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kurtis MacDermid	Patrik Nemeth
2	Stephen Silas	Karlis Cukste

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Mathieu Olivier	Kurtis MacDermid	Patrik Nemeth
2	Justin Auger	Stephen Silas	Karlis Cukste

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Mathieu Olivier	Justin Auger
2	Joseph Cramarossa	Vadim Vasjonkin

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kurtis MacDermid	Patrik Nemeth
2	Stephen Silas	Karlis Cukste

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Vadim Vasjonkin	Joseph Cramarossa	Mathieu Olivier	Kurtis MacDermid	Patrik Nemeth

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Vadim Vasjonkin	Joseph Cramarossa	Mathieu Olivier	Kurtis MacDermid	Patrik Nemeth

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Oskar Bäck, Joel L'Esperance, Keegan Iverson	Oskar Bäck, Joel L'Esperance	Keegan Iverson

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Christian Djoos, Gustav Olofsson, Erik Gustafsson	Christian Djoos	Gustav Olofsson, Erik Gustafsson

Tirs de Pénalité
Mathieu Olivier, Justin Auger, Joseph Cramarossa, Vadim Vasjonkin, Frédérick Gaudreau

Gardien
#1 : Matej Tomek, #2 : Mitchell Gibson

Lignes d'Attaque Perso. en Prol.
Mathieu Olivier, Justin Auger, Joseph Cramarossa, Vadim Vasjonkin, Frédérick Gaudreau, Kyle Rau, Kyle Rau, Oskar Bäck, Joel L'Esperance, Keegan Iverson, Sam Miletic

Lignes de Défense Perso. en Prol.
Kurtis MacDermid, Patrik Nemeth, Stephen Silas, Karlis Cukste, Christian Djoos

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	Adirondack Phantoms	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	1	2	0	0	58	51	53	6	25	629	648	631	33	36	18	16	16	1	0	0.00%	8	2	75.00%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
2	Albany Devils	2	1	1	0	0	0	0	0	7	4	3	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	6	1	5	2	0.500	7	14	21	0	0	58	51	53	6	69	629	648	631	33	58	25	14	46	14	3	21.43%	7	1	85.71%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
3	Binghamton Senators	8	4	3	0	0	0	0	1	24	26	-2	4	2	1	0	0	0	0	1	12	12	0	4	2	2	0	0	0	0	0	12	14	-2	9	0.563	24	39	63	0	0	58	51	53	6	236	629	648	631	33	261	102	82	142	34	5	14.71%	41	9	78.05%	1	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
4	Blainville-Boisbriand Armada	2	0	0	0	1	1	0	0	7	7	0	1	0	0	0	1	0	0	0	5	4	1	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	7	10	17	0	0	58	51	53	6	60	629	648	631	33	70	31	26	46	4	1	25.00%	13	3	76.92%	1	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
5	Bridgeport Sound Tigers	1	0	1	0	0	0	0	0	1	8	-7	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	8	-7	0	0.000	1	2	3	0	0	58	51	53	6	30	629	648	631	33	37	10	12	11	2	1	50.00%	6	4	33.33%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
6	Charlotte Checkers	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	58	51	53	6	32	629	648	631	33	33	11	20	19	1	0	0.00%	10	1	90.00%	1	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
7	Chicago Wolves	6	3	3	0	0	0	0	0	18	15	3	3	1	2	0	0	0	0	0	5	7	-2	3	2	1	0	0	0	0	0	13	8	5	6	0.500	18	30	48	0	0	58	51	53	6	171	629	648	631	33	170	76	59	125	18	3	16.67%	24	2	91.67%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
8	Chicoutimi Saguenéens	3	0	1	0	1	1	0	0	10	12	-2	1	0	0	0	0	1	0	0	1	2	-1	2	0	1	0	1	0	0	0	9	10	-1	3	0.500	10	16	26	0	0	58	51	53	6	86	629	648	631	33	103	48	36	60	12	4	33.33%	18	0	100.00%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
9	Chisinau Pelicans	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	58	51	53	6	32	629	648	631	33	28	4	6	30	4	0	0.00%	3	2	33.33%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
10	Connecticut Whale	1	0	1	0	0	0	0	0	1	7	-6	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	1	1	2	0	0	58	51	53	6	22	629	648	631	33	35	23	16	16	4	0	0.00%	8	4	50.00%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
11	Gatineau Olympiques	3	1	2	0	0	0	0	0	6	6	0	2	0	2	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	5	1	4	2	0.333	6	10	16	0	0	58	51	53	6	82	629	648	631	33	77	39	26	60	11	1	9.09%	13	1	92.31%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
12	Grand Rapids Griffins	2	2	0	0	0	0	0	0	6	4	2	2	2	0	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	4	1.000	6	11	17	0	0	58	51	53	6	58	629	648	631	33	45	19	16	27	9	2	22.22%	8	2	75.00%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
13	Houston Aeros	2	0	2	0	0	0	0	0	2	6	-4	2	0	2	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	58	51	53	6	54	629	648	631	33	64	24	14	31	4	0	0.00%	7	3	57.14%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
14	Joliette Sportif	2	0	1	0	0	1	0	0	6	8	-2	1	0	1	0	0	0	0	0	3	4	-1	1	0	0	0	0	1	0	0	3	4	-1	1	0.250	6	10	16	0	0	58	51	53	6	54	629	648	631	33	61	23	20	40	7	4	57.14%	10	3	70.00%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
15	Laval Chiefs	2	1	0	0	1	0	0	0	5	3	2	1	0	0	0	1	0	0	0	3	2	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	5	10	15	0	0	58	51	53	6	60	629	648	631	33	55	20	12	27	4	0	0.00%	6	1	83.33%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
16	Manitoba Moose	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	2	4	0	0	58	51	53	6	30	629	648	631	33	35	13	8	23	7	1	14.29%	4	2	50.00%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
17	Mercer Island Hafgufa	3	0	3	0	0	0	0	0	8	17	-9	0	0	0	0	0	0	0	0	0	0	0	3	0	3	0	0	0	0	0	8	17	-9	0	0.000	8	14	22	0	0	58	51	53	6	105	629	648	631	33	93	26	20	69	13	0	0.00%	9	5	44.44%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
18	Milwaukee Admirals	4	0	4	0	0	0	0	0	6	21	-15	0	0	0	0	0	0	0	0	0	0	0	4	0	4	0	0	0	0	0	6	21	-15	0	0.000	6	9	15	0	0	58	51	53	6	95	629	648	631	33	124	49	32	65	11	1	9.09%	15	3	80.00%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
19	Norfolk Admirals	3	0	0	0	1	1	0	1	11	12	-1	2	0	0	0	0	1	0	1	5	7	-2	1	0	0	0	1	0	0	0	6	5	1	4	0.667	11	19	30	0	0	58	51	53	6	97	629	648	631	33	111	33	24	50	10	5	50.00%	12	2	83.33%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
20	Nunavik Natturaliit	3	0	0	0	0	2	1	0	7	8	-1	1	0	0	0	0	1	0	0	2	3	-1	2	0	0	0	0	1	1	0	5	5	0	4	0.667	7	11	18	0	0	58	51	53	6	103	629	648	631	33	112	32	28	46	12	2	16.67%	15	0	100.00%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
21	Oklahoma City Barons	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	2	4	0	0	58	51	53	6	24	629	648	631	33	23	12	8	12	4	1	25.00%	5	2	60.00%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
22	Roberval Dwarfs	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	58	51	53	6	25	629	648	631	33	34	10	12	15	0	0	0.00%	6	0	100.00%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
23	Rochester Americans	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	58	51	53	6	22	629	648	631	33	28	9	10	21	4	2	50.00%	5	1	80.00%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
24	Rouyn-Noranda Huskies	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	58	51	53	6	24	629	648	631	33	26	14	0	14	4	1	25.00%	0	0	0.00%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
25	San Antonio Rampage	3	0	3	0	0	0	0	0	6	15	-9	3	0	3	0	0	0	0	0	6	15	-9	0	0	0	0	0	0	0	0	0	0	0	0	0.000	6	9	15	0	0	58	51	53	6	89	629	648	631	33	101	31	26	41	6	1	16.67%	13	4	69.23%	1	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
26	Springfield Falcons	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	4	1	2	1.000	5	9	14	0	0	58	51	53	6	33	629	648	631	33	29	6	6	15	6	0	0.00%	3	0	100.00%	1	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
27	The Nuuk Vikings	3	1	2	0	0	0	0	0	7	11	-4	1	1	0	0	0	0	0	0	3	2	1	2	0	2	0	0	0	0	0	4	9	-5	2	0.333	7	13	20	0	0	58	51	53	6	98	629	648	631	33	87	26	41	55	11	2	18.18%	14	4	71.43%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
	Total	66	18	34	0	4	6	2	2	168	224	-56	32	9	16	0	2	3	0	2	72	95	-23	34	9	18	0	2	3	2	0	96	129	-33	56	0.424	168	282	450	0	0	58	51	53	6	1929	629	648	631	33	2074	784	628	1209	232	42	18.10%	302	64	78.81%	5	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
29	Trois-Rivières Lions	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	0	58	51	53	6	25	629	648	631	33	34	14	10	16	4	1	25.00%	5	1	80.00%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
30	Verdun Junior	2	0	1	0	0	0	1	0	4	4	0	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	0	0	1	0	2	1	1	2	0.500	4	6	10	0	0	58	51	53	6	58	629	648	631	33	74	24	20	48	7	1	14.29%	10	1	90.00%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
31	Wilkes-Barre/Scranton Penguins	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	58	51	53	6	30	629	648	631	33	30	12	8	23	4	0	0.00%	4	1	75.00%	0	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
	_Since Last GM Reset	66	18	34	0	4	6	2	2	168	224	-56	32	9	16	0	2	3	0	2	72	95	-23	34	9	18	0	2	3	2	0	96	129	-33	56	0.424	168	282	450	0	0	58	51	53	6	1929	629	648	631	33	2074	784	628	1209	232	42	18.10%	302	64	78.81%	5	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
	_Vs Conference	44	15	18	0	3	5	2	1	115	131	-16	20	8	7	0	2	2	0	1	48	51	-3	24	7	11	0	1	3	2	0	67	80	-13	46	0.523	115	192	307	0	0	58	51	53	6	1267	629	648	631	33	1361	531	426	816	152	28	18.42%	201	32	84.08%	2	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501
	_Vs Division	20	9	10	0	0	0	0	1	61	70	-9	13	5	3	0	0	0	0	1	34	41	-7	7	4	7	0	0	0	0	0	27	29	-2	19	0.475	61	102	163	0	0	58	51	53	6	580	629	648	631	33	672	247	200	345	70	18	25.71%	100	17	83.00%	2	676	1288	52.48%	661	1384	47.76%	394	809	48.70%	1450	907	1535	546	1012	501

			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
66	56	L2	168	282	450	1929	2074	784	628	1209	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
66	18	34	4	6	2	2	168	224

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	9	16	2	3	0	2	72	95

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
34	9	18	2	3	2	0	96	129

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	6	0	1	0	2

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
232	42	18.10%	302	64	78.81%	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
629	648	631	33	58	51	53	6

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
676	1288	52.48%	661	1384	47.76%	394	809	48.70%

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
1450	907	1535	546	1012	501

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 - 2022-09-06	9	San Antonio Rampage	6	Lake Erie Monsters	2	L			Sommaire du Match
3 - 2022-09-07	11	Lake Erie Monsters	3	Binghamton Senators	2	W			Sommaire du Match
5 - 2022-09-09	31	Lake Erie Monsters	2	Milwaukee Admirals	7	L			Sommaire du Match
8 - 2022-09-12	52	Lake Erie Monsters	1	Milwaukee Admirals	4	L			Sommaire du Match
9 - 2022-09-13	66	Binghamton Senators	1	Lake Erie Monsters	2	W			Sommaire du Match
11 - 2022-09-15	76	Lake Erie Monsters	2	Chicago Wolves	4	L			Sommaire du Match
13 - 2022-09-17	87	Lake Erie Monsters	4	Binghamton Senators	2	W			Sommaire du Match
14 - 2022-09-18	97	San Antonio Rampage	3	Lake Erie Monsters	1	L			Sommaire du Match
19 - 2022-09-23	126	Chicago Wolves	3	Lake Erie Monsters	2	L			Sommaire du Match
21 - 2022-09-25	149	Binghamton Senators	2	Lake Erie Monsters	7	W			Sommaire du Match
22 - 2022-09-26	161	Lake Erie Monsters	2	The Nuuk Vikings	4	L			Sommaire du Match
24 - 2022-09-28	174	Lake Erie Monsters	3	Mercer Island Hafgufa	5	L			Sommaire du Match
27 - 2022-10-01	193	Oklahoma City Barons	3	Lake Erie Monsters	2	L			Sommaire du Match
29 - 2022-10-03	202	Lake Erie Monsters	5	Chicago Wolves	2	W			Sommaire du Match
33 - 2022-10-07	224	Grand Rapids Griffins	2	Lake Erie Monsters	3	W			Sommaire du Match
35 - 2022-10-09	247	Lake Erie Monsters	5	Chicoutimi Saguenéens	4	W	X		Sommaire du Match
37 - 2022-10-11	259	Grand Rapids Griffins	2	Lake Erie Monsters	3	W			Sommaire du Match
39 - 2022-10-13	281	Nunavik Natturaliit	3	Lake Erie Monsters	2	L	X		Sommaire du Match
41 - 2022-10-15	287	Lake Erie Monsters	2	Blainville-Boisbriand Armada	3	L	X		Sommaire du Match
42 - 2022-10-16	304	Lake Erie Monsters	1	Milwaukee Admirals	6	L			Sommaire du Match
45 - 2022-10-19	320	Rochester Americans	2	Lake Erie Monsters	5	W			Sommaire du Match
47 - 2022-10-21	337	Lake Erie Monsters	5	Gatineau Olympiques	1	W			Sommaire du Match
48 - 2022-10-22	354	Chicoutimi Saguenéens	2	Lake Erie Monsters	1	L	X		Sommaire du Match
50 - 2022-10-24	370	Lake Erie Monsters	1	Chisinau Pelicans	2	L			Sommaire du Match
52 - 2022-10-26	382	Lake Erie Monsters	2	The Nuuk Vikings	5	L			Sommaire du Match
54 - 2022-10-28	394	Trois-Rivières Lions	1	Lake Erie Monsters	2	W			Sommaire du Match
55 - 2022-10-29	414	Lake Erie Monsters	3	Rouyn-Noranda Huskies	1	W			Sommaire du Match
58 - 2022-11-01	426	Laval Chiefs	2	Lake Erie Monsters	3	W	X		Sommaire du Match
61 - 2022-11-04	445	Lake Erie Monsters	6	Chicago Wolves	2	W			Sommaire du Match
62 - 2022-11-05	459	Verdun Junior	3	Lake Erie Monsters	2	L			Sommaire du Match
65 - 2022-11-08	478	Lake Erie Monsters	2	Laval Chiefs	1	W			Sommaire du Match
67 - 2022-11-10	491	Roberval Dwarfs	2	Lake Erie Monsters	3	W			Sommaire du Match
71 - 2022-11-14	520	San Antonio Rampage	6	Lake Erie Monsters	3	L			Sommaire du Match
76 - 2022-11-19	544	Lake Erie Monsters	6	Norfolk Admirals	5	W	X		Sommaire du Match
78 - 2022-11-21	554	Houston Aeros	4	Lake Erie Monsters	1	L			Sommaire du Match
80 - 2022-11-23	574	Lake Erie Monsters	5	Springfield Falcons	4	W			Sommaire du Match
82 - 2022-11-25	586	Joliette Sportif	4	Lake Erie Monsters	3	L			Sommaire du Match
84 - 2022-11-27	600	Lake Erie Monsters	4	Chicoutimi Saguenéens	6	L			Sommaire du Match
85 - 2022-11-28	612	Gatineau Olympiques	2	Lake Erie Monsters	1	L			Sommaire du Match
87 - 2022-11-30	633	Lake Erie Monsters	6	Albany Devils	1	W			Sommaire du Match
89 - 2022-12-02	647	Albany Devils	3	Lake Erie Monsters	1	L			Sommaire du Match
92 - 2022-12-05	668	Lake Erie Monsters	2	Verdun Junior	1	W	X	X	Sommaire du Match
94 - 2022-12-07	678	Lake Erie Monsters	4	Binghamton Senators	6	L			Sommaire du Match
95 - 2022-12-08	689	Chicago Wolves	3	Lake Erie Monsters	1	L			Sommaire du Match
98 - 2022-12-11	706	Lake Erie Monsters	1	Adirondack Phantoms	3	L			Sommaire du Match
100 - 2022-12-13	716	Lake Erie Monsters	2	Mercer Island Hafgufa	6	L			Sommaire du Match
101 - 2022-12-14	726	Houston Aeros	2	Lake Erie Monsters	1	L			Sommaire du Match
104 - 2022-12-17	753	Blainville-Boisbriand Armada	4	Lake Erie Monsters	5	W	X		Sommaire du Match
105 - 2022-12-18	762	Lake Erie Monsters	3	Joliette Sportif	4	L	X		Sommaire du Match
108 - 2022-12-21	775	Lake Erie Monsters	3	Nunavik Natturaliit	2	W	X	X	Sommaire du Match
109 - 2022-12-22	788	Gatineau Olympiques	3	Lake Erie Monsters	0	L			Sommaire du Match
112 - 2022-12-25	810	Lake Erie Monsters	2	Nunavik Natturaliit	3	L	X		Sommaire du Match
113 - 2022-12-26	821	Binghamton Senators	5	Lake Erie Monsters	0	L			Sommaire du Match
115 - 2022-12-28	844	Lake Erie Monsters	1	Wilkes-Barre/Scranton Penguins	4	L			Sommaire du Match
116 - 2022-12-29	854	Chicago Wolves	1	Lake Erie Monsters	2	W			Sommaire du Match
120 - 2023-01-02	875	Lake Erie Monsters	1	Connecticut Whale	7	L			Sommaire du Match
121 - 2023-01-03	887	Norfolk Admirals	3	Lake Erie Monsters	2	L	X	X	Sommaire du Match
126 - 2023-01-08	919	Norfolk Admirals	4	Lake Erie Monsters	3	L	X		Sommaire du Match
130 - 2023-01-12	948	Binghamton Senators	4	Lake Erie Monsters	3	L	X	X	Sommaire du Match
132 - 2023-01-14	972	Manitoba Moose	6	Lake Erie Monsters	2	L			Sommaire du Match
133 - 2023-01-15	978	Lake Erie Monsters	1	Bridgeport Sound Tigers	8	L			Sommaire du Match
135 - 2023-01-17	992	Lake Erie Monsters	2	Milwaukee Admirals	4	L			Sommaire du Match
138 - 2023-01-20	1001	Lake Erie Monsters	3	Mercer Island Hafgufa	6	L			Sommaire du Match
140 - 2023-01-22	1016	The Nuuk Vikings	2	Lake Erie Monsters	3	W			Sommaire du Match
143 - 2023-01-25	1042	Charlotte Checkers	2	Lake Erie Monsters	1	L			Sommaire du Match
145 - 2023-01-27	1050	Lake Erie Monsters	1	Binghamton Senators	4	L			Sommaire du Match
147 - 2023-01-29	1075	Oklahoma City Barons	-	Lake Erie Monsters	-
150 - 2023-02-01	1091	Lake Erie Monsters	-	Rochester Americans	-
152 - 2023-02-03	1109	Chisinau Pelicans	-	Lake Erie Monsters	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
155 - 2023-02-06	1139	Rouyn-Noranda Huskies	-	Lake Erie Monsters	-
157 - 2023-02-08	1153	Lake Erie Monsters	-	Roberval Dwarfs	-
160 - 2023-02-11	1174	Henderson Silver Knights	-	Lake Erie Monsters	-
164 - 2023-02-15	1200	Grand Rapids Griffins	-	Lake Erie Monsters	-
165 - 2023-02-16	1209	Lake Erie Monsters	-	Trois-Rivières Lions	-
167 - 2023-02-18	1233	Milwaukee Admirals	-	Lake Erie Monsters	-
169 - 2023-02-20	1243	Lake Erie Monsters	-	Trois-Rivières Lions	-
173 - 2023-02-24	1266	San Antonio Rampage	-	Lake Erie Monsters	-
178 - 2023-03-01	1294	Milwaukee Admirals	-	Lake Erie Monsters	-
179 - 2023-03-02	1304	Lake Erie Monsters	-	Grand Rapids Griffins	-
185 - 2023-03-08	1327	Henderson Silver Knights	-	Lake Erie Monsters	-
186 - 2023-03-09	1330	Lake Erie Monsters	-	Grand Rapids Griffins	-
189 - 2023-03-12	1348	Lake Erie Monsters	-	Providence Bruins	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	35	15
Assistance	63,960	31,979
Assistance PCT	99.94%	99.93%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
9	2998 - 99.94%	84,946$	2,718,285$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,787,824$	2,867,500$	2,867,500$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
15,013$	2,061,100$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
764,518$	46	19,987$	919,402$

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



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	Lake Erie Monsters
	GP: 66 \| W: 24 \| L: 34 \| OTL: 8 \| P: 56 GF: 168 \| GA: 224 \| PP%: 18.10% \| PK%: 78.81% DG: Tony Roy \| Morale : 47 \| Moyenne d'Équipe : N/A Prochain matchs #1075 vs Oklahoma City Barons