LAAHS - 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	TA	SP	Âge	Contrat	Salaire
1	Jason Robertson (R)		X			99.00	77	73	86	74	73	77	80	65	50	59	67	66	64	44	44	69	60	63		0	21	1	795,000$
2	Andrew Agozzino (A)	X				100.00	76	43	93	67	66	48	80	67	61	59	57	60	75	58	58	62	55	60		0	30	1	700,000$
3	Lukas Elvenes (R)		X	X		100.00	73	65	90	65	65	67	68	65	50	68	58	64	55	44	44	64	57	60		0	21	1	903,333$
4	JC Lipon			X		100.00	64	67	56	66	67	74	78	59	50	56	58	59	55	47	47	60	59	58		0	27	1	700,000$
5	Marko Dano		X	X		100.00	68	75	51	76	75	67	71	56	50	57	47	63	45	58	58	57	41	58		0	26	1	700,000$
6	Turner Elson		X			100.00	71	67	79	65	67	78	84	54	50	50	54	60	51	44	44	59	49	57		0	28	1	725,000$
7	Ryan Haggerty			X		100.00	75	73	81	63	73	71	76	53	50	46	56	62	53	44	44	59	47	56		0	27	1	675,000$
8	Adam Mascherin		X			100.00	75	73	80	61	73	66	70	53	50	51	51	62	48	44	44	57	66	56		0	22	2	775,000$
9	Oskar Steen (R)	X				100.00	69	65	77	68	65	66	70	54	68	54	50	59	48	44	44	57	66	56		0	22	1	809,168$
10	William Bitten	X		X		100.00	68	60	87	62	60	69	73	57	71	53	56	59	53	44	44	59	63	56		0	22	1	805,000$
11	Bob Carpenter (R)	X	X			100.00	76	72	84	66	72	53	52	57	71	56	53	63	50	44	44	59	60	56		0	24	1	792,000$
12	Brandon Baddock		X			100.00	69	80	43	66	80	71	76	51	50	48	50	58	48	44	44	55	42	55		0	25	1	700,000$
13	Jan Drozg (R)		X			100.00	73	66	88	63	66	61	64	52	50	44	56	61	53	44	44	58	57	54		0	21	1	809,166$
14	Giorgio Estephan (R)	X				100.00	79	71	99	52	71	58	60	51	64	46	51	63	48	44	44	56	43	53		0	24	1	500,001$
15	Kurtis MacDermid				X	100.00	86	99	71	66	82	62	69	55	25	49	49	67	25	51	51	60	65	61		0	26	1	1,400,000$
16	Joe Hicketts				X	100.00	69	61	88	66	61	75	81	55	25	54	40	61	38	49	49	56	62	59		0	24	1	700,000$
17	Dysin Mayo				X	100.00	76	73	83	64	73	73	80	47	25	37	41	63	39	51	51	53	53	59		0	24	1	700,000$
18	Alexander Yelesin (R)				X	100.00	98	47	99	68	69	59	66	58	25	39	47	57	25	44	44	57	52	58		0	25	1	925,000$
19	Erik Burgdoerfer				X	100.00	73	75	68	61	75	71	78	46	25	36	40	61	38	52	52	51	39	57		0	32	1	700,000$
Rayé
1	Brendan Woods	X	X			100.00	75	80	64	68	80	65	68	57	50	52	56	65	53	54	54	60	20	58		0	28	0	0$
2	Julien Nantel	X	X			100.00	77	70	92	64	70	61	63	55	69	47	59	64	56	45	45	60	20	56		0	24	0	0$
3	Hunter Shinkaruk		X			100.00	73	65	93	63	65	57	58	56	50	47	58	64	55	52	52	60	20	55	X	0	26	0	0$
4	Ryan Olsen	X				100.00	71	69	75	60	69	74	80	51	64	47	50	59	48	44	44	56	20	54		0	26	0	0$
5	Mitch Hults	X				100.00	84	80	94	59	80	52	54	48	60	47	44	65	42	44	44	53	20	53		0	26	0	0$
6	Peter Quenneville	X		X		100.00	77	68	99	57	68	49	51	44	55	38	44	61	42	44	44	51	20	49		0	26	1	500,001$
7	Maxim Lamarche				X	100.00	80	80	81	68	80	64	70	42	25	30	39	62	37	44	44	51	20	57		0	28	0	0$

	MOYENNE D'ÉQUIPE					99.96	75	70	81	65	71	65	70	54	49	49	51	62	48	47	47	58	45	57

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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	Ryan Bednard (R)	96.00	50	52	65	85	49	50	50	55	49	49	30	44	44	51	56	53	0
Rayé

	MOYENNE D'ÉQUIPE	96.00	50	52	65	85	49	50	50	55	49	49	30	44	44	51	56	53

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bob Boughner	82	82	78	76	74	69	76	CAN	49	1	72,600$

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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	FW	FL	FT	S1	S2	S3
1	Andrew Agozzino	Lake Erie Monsters (CLF)	C	40	33	51	84	-2	16	10	73	61	156	39	90	21.15%	19	827	20.69	6	13	19	13	92	1	0	1	1	24	3	1	49.92%	1188	18	20	1	2.03	1	1	0	1	1	7	4	2
2	Lukas Elvenes	Lake Erie Monsters (CLF)	LW/RW	39	29	44	73	3	76	40	68	57	155	55	88	18.71%	29	772	19.80	4	13	17	21	88	0	0	0	0	3	3	2	48.72%	78	37	21	2	1.89	1	2	3	4	1	4	4	0
3	Jason Robertson	Lake Erie Monsters (CLF)	LW	35	31	38	69	-7	61	45	57	49	159	55	99	19.50%	29	701	20.06	10	6	16	20	83	0	0	0	0	10	3	0	40.91%	66	45	26	1	1.97	0	3	3	3	3	5	1	2
4	Matt Puempel	Golden Seals	LW	39	31	28	59	6	73	45	90	41	157	55	89	19.75%	24	666	17.08	3	6	9	10	71	0	0	0	0	14	3	1	52.17%	69	36	17	2	1.77	1	3	3	2	4	1	6	4
5	JC Lipon	Lake Erie Monsters (CLF)	RW	39	16	19	35	9	64	30	74	44	113	35	73	14.16%	11	615	15.78	2	3	5	7	70	0	0	0	0	0	1	0	42.42%	33	30	8	1	1.14	0	0	2	1	3	2	1	0
6	William Bitten	Lake Erie Monsters (CLF)	C/RW	40	10	22	32	7	24	20	48	68	63	17	56	15.87%	10	643	16.09	4	3	7	12	75	0	0	0	0	5	0	0	61.01%	495	7	15	0	0.99	0	0	1	0	3	0	1	2
7	Turner Elson	Lake Erie Monsters (CLF)	LW	39	15	13	28	-5	38	30	45	33	74	27	58	20.27%	14	499	12.80	1	1	2	1	57	0	0	0	0	0	2	0	36.36%	11	28	12	2	1.12	0	0	1	3	2	2	0	0
8	Kurtis MacDermid	Lake Erie Monsters (CLF)	D	39	4	19	23	-8	175	105	76	71	84	28	23	4.76%	89	867	22.25	2	0	2	2	14	0	0	0	2	79	0	1	0.00%	0	13	42	0	0.53	0	1	5	6	10	0	0	1
9	Oskar Steen	Lake Erie Monsters (CLF)	C	40	11	11	22	-5	53	35	49	39	103	26	53	10.68%	20	510	12.76	0	0	0	2	7	0	0	0	3	27	0	0	47.59%	187	11	13	0	0.86	0	0	3	1	3	0	4	1
10	Alexander Yelesin	Lake Erie Monsters (CLF)	D	40	3	18	21	18	17	15	51	47	51	26	23	5.88%	54	842	21.06	0	0	0	2	7	0	0	0	4	47	0	0	0.00%	0	7	25	0	0.50	0	0	0	2	1	0	0	2
11	Joe Hicketts	Lake Erie Monsters (CLF)	D	40	1	20	21	27	45	35	41	74	48	20	22	2.08%	58	919	22.98	0	0	0	0	14	0	0	0	1	79	0	0	0.00%	0	16	35	0	0.46	0	0	1	1	5	0	0	1
12	Ryan Haggerty	Lake Erie Monsters (CLF)	RW	39	10	9	19	-9	14	10	36	29	56	16	24	17.86%	13	401	10.29	1	4	5	6	96	0	0	0	0	0	1	0	40.00%	5	11	8	0	0.95	0	0	0	2	0	0	0	0
13	Jan Drozg	Lake Erie Monsters (CLF)	LW	40	8	10	18	-11	2	0	32	27	45	12	35	17.78%	9	465	11.63	1	4	5	6	97	0	1	1	3	53	1	0	50.00%	20	13	9	0	0.77	0	0	0	0	0	0	0	1
14	Bob Carpenter	Lake Erie Monsters (CLF)	C/LW	40	2	16	18	-9	7	5	41	30	57	31	47	3.51%	11	404	10.12	1	2	3	3	60	0	0	0	1	40	0	1	47.88%	165	18	6	0	0.89	0	0	1	0	0	0	0	0
15	Marko Dano	Lake Erie Monsters (CLF)	LW/RW	31	6	11	17	-9	54	20	34	30	86	30	41	6.98%	24	415	13.42	0	0	0	0	8	0	0	0	1	57	0	1	20.00%	10	13	14	0	0.82	0	0	1	1	1	1	0	0
16	Adam Mascherin	Lake Erie Monsters (CLF)	LW	40	3	8	11	-6	49	25	44	38	46	16	17	6.52%	28	576	14.40	0	0	0	0	13	0	1	1	2	45	0	0	26.32%	19	2	18	0	0.38	0	1	2	0	3	0	0	1
17	Dysin Mayo	Lake Erie Monsters (CLF)	D	39	0	11	11	-15	94	50	48	60	55	17	19	0.00%	56	861	22.10	0	0	0	0	6	0	0	0	2	92	0	0	0.00%	0	9	38	0	0.26	0	0	3	4	3	0	0	0
18	Erik Burgdoerfer	Lake Erie Monsters (CLF)	D	20	0	4	4	-2	31	25	15	16	11	1	3	0.00%	11	263	13.16	0	0	0	0	0	0	0	0	0	24	0	0	0.00%	0	2	11	0	0.30	0	0	0	2	3	0	0	0
19	Giorgio Estephan	Lake Erie Monsters (CLF)	C	21	1	1	2	-2	5	5	12	23	18	5	9	5.56%	16	276	13.17	0	0	0	0	0	1	0	1	5	45	0	0	53.66%	82	1	4	0	0.14	0	0	1	0	0	0	0	0
20	Brandon Baddock	Lake Erie Monsters (CLF)	LW	22	0	0	0	-5	2	0	6	5	0	0	0	0.00%	0	48	2.20	0	0	0	0	3	0	0	0	0	1	0	0	57.14%	7	0	0	0	0.00	0	0	0	0	0	0	0	0
21	Peter Quenneville	Lake Erie Monsters (CLF)	C/RW	1	0	0	0	0	0	0	2	5	0	1	0	0.00%	0	13	13.80	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				723	214	353	567	-25	900	550	942	847	1537	512	869	13.92%	525	11592	16.03	35	55	90	105	871	2	2	4	25	650	17	7	51.27%	2436	317	342	9	0.98	3	11	30	33	46	22	21	17

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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	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Ryan Bednard	Lake Erie Monsters (CLF)	22	14	8	0	0.869	4.97	1327	4	0	110	842	519	1	0	0.500	4	22	2	0	0	0
Stats d'équipe Total ou en Moyenne			22	14	8	0	0.869	4.97	1327	4	0	110	842	519	1	0	0.500	4	22	2	0	0	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 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	Link
Adam Mascherin	Lake Erie Monsters (CLF)	LW	22	1998-06-05	No	206 Lbs	5 ft11	No	No	No	2	Pro & Farm	775,000$	0$	0$	No	775,000$	Lien
Alexander Yelesin	Lake Erie Monsters (CLF)	D	25	1996-02-07	Yes	192 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	0$	0$	No		Lien
Andrew Agozzino	Lake Erie Monsters (CLF)	C	30	1991-01-02	No	187 Lbs	5 ft10	No	No	No	1	Pro & Farm	700,000$	0$	0$	No		Lien
Bob Carpenter	Lake Erie Monsters (CLF)	C/LW	24	1996-08-16	Yes	201 Lbs	5 ft11	No	No	No	1	Pro & Farm	792,000$	0$	0$	No		Lien
Brandon Baddock	Lake Erie Monsters (CLF)	LW	25	1995-03-29	No	215 Lbs	6 ft3	No	No	No	1	Pro & Farm	700,000$	0$	0$	No		Lien
Brendan Woods	Lake Erie Monsters (CLF)	C/LW	28	1992-06-11	No	210 Lbs	6 ft4	No	No	No	0	Pro & Farm		0$	0$	No		Lien
Dysin Mayo	Lake Erie Monsters (CLF)	D	24	1996-08-17	No	195 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	0$	0$	No		Lien
Erik Burgdoerfer	Lake Erie Monsters (CLF)	D	32	1988-12-11	No	207 Lbs	6 ft1	Yes	No	No	1	Pro & Farm	700,000$	0$	0$	No		Lien
Giorgio Estephan	Lake Erie Monsters (CLF)	C	24	1997-02-03	Yes	196 Lbs	6 ft0	No	No	No	1	Pro & Farm	500,001$	0$	0$	No
Hunter Shinkaruk	Lake Erie Monsters (CLF)	LW	26	1994-10-13	No	181 Lbs	5 ft10	No	Yes	No	0	Pro & Farm		0$	0$	No		Lien
JC Lipon	Lake Erie Monsters (CLF)	RW	27	1993-07-10	No	183 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	0$	0$	No		Lien
Jan Drozg	Lake Erie Monsters (CLF)	LW	21	1999-04-01	Yes	174 Lbs	6 ft2	No	No	No	1	Pro & Farm	809,166$	0$	0$	No
Jason Robertson	Lake Erie Monsters (CLF)	LW	21	1999-07-21	Yes	195 Lbs	6 ft2	No	No	No	1	Pro & Farm	795,000$	0$	0$	No		Lien
Joe Hicketts	Lake Erie Monsters (CLF)	D	24	1996-05-04	No	175 Lbs	5 ft8	No	No	No	1	Pro & Farm	700,000$	0$	0$	No		Lien
Julien Nantel	Lake Erie Monsters (CLF)	C/LW	24	1996-09-06	No	193 Lbs	6 ft0	No	No	No	0	Pro & Farm		0$	0$	No		Lien
Kurtis MacDermid (Contrat à 1 Volet)	Lake Erie Monsters (CLF)	D	26	1994-03-25	No	208 Lbs	6 ft5	Yes	No	No	1	Pro & Farm	1,400,000$	1,400,000$	746,667$	No		Lien
Lukas Elvenes	Lake Erie Monsters (CLF)	LW/RW	21	1999-08-18	Yes	172 Lbs	6 ft1	No	No	No	1	Pro & Farm	903,333$	0$	0$	No
Marko Dano	Lake Erie Monsters (CLF)	LW/RW	26	1994-11-30	No	212 Lbs	5 ft11	No	No	No	1	Pro & Farm	700,000$	0$	0$	No		Lien
Maxim Lamarche	Lake Erie Monsters (CLF)	D	28	1992-07-11	No	218 Lbs	6 ft3	No	No	No	0	Pro & Farm		0$	0$	No		Lien
Mitch Hults	Lake Erie Monsters (CLF)	C	26	1994-11-13	No	218 Lbs	6 ft3	No	No	No	0	Pro & Farm		0$	0$	No		Lien
Oskar Steen	Lake Erie Monsters (CLF)	C	22	1998-03-09	Yes	187 Lbs	5 ft9	No	No	No	1	Pro & Farm	809,168$	0$	0$	No
Peter Quenneville	Lake Erie Monsters (CLF)	C/RW	26	1994-03-09	No	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	500,001$	0$	0$	No
Ryan Bednard	Lake Erie Monsters (CLF)	G	23	1997-05-31	Yes	201 Lbs	6 ft5	No	No	No	2	Pro & Farm	817,500$	0$	0$	No	817,500$
Ryan Haggerty	Lake Erie Monsters (CLF)	RW	27	1993-03-04	No	201 Lbs	6 ft0	No	No	No	1	Pro & Farm	675,000$	0$	0$	No		Lien
Ryan Olsen	Lake Erie Monsters (CLF)	C	26	1994-03-24	No	187 Lbs	6 ft1	No	No	No	0	Pro & Farm		0$	0$	No		Lien
Turner Elson	Lake Erie Monsters (CLF)	LW	28	1992-09-12	No	184 Lbs	6 ft0	No	No	No	1	Pro & Farm	725,000$	0$	0$	No		Lien
William Bitten	Lake Erie Monsters (CLF)	C/RW	22	1998-07-10	No	168 Lbs	5 ft10	No	No	No	1	Pro & Farm	805,000$	0$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
27	25.11	194 Lbs	6 ft1	0.85	597,451$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jason Robertson	Andrew Agozzino	Lukas Elvenes	40	1	2	2
2	Marko Dano	William Bitten	JC Lipon	30	1	2	2
3	Turner Elson	Oskar Steen	Ryan Haggerty	20	1	2	2
4	Adam Mascherin	Bob Carpenter	Jason Robertson	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kurtis MacDermid	Dysin Mayo	40	1	2	2
2	Joe Hicketts	Alexander Yelesin	30	1	2	2
3	Erik Burgdoerfer	Kurtis MacDermid	20	1	2	2
4	Dysin Mayo	Joe Hicketts	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jason Robertson	Andrew Agozzino	Lukas Elvenes	60	1	2	2
2	Marko Dano	William Bitten	JC Lipon	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kurtis MacDermid	Dysin Mayo	60	1	2	2
2	Joe Hicketts	Alexander Yelesin	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jason Robertson	Lukas Elvenes	60	1	2	2
2	Andrew Agozzino	JC Lipon	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kurtis MacDermid	Dysin Mayo	60	1	2	2
2	Joe Hicketts	Alexander Yelesin	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Jason Robertson	60	1	2	2	Kurtis MacDermid	Dysin Mayo	60	1	2	2
2	Lukas Elvenes	40	1	2	2	Joe Hicketts	Alexander Yelesin	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jason Robertson	Lukas Elvenes	60	1	2	2
2	Andrew Agozzino	JC Lipon	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kurtis MacDermid	Dysin Mayo	60	1	2	2
2	Joe Hicketts	Alexander Yelesin	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jason Robertson	Andrew Agozzino	Lukas Elvenes	Kurtis MacDermid	Dysin Mayo

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jason Robertson	Andrew Agozzino	Lukas Elvenes	Kurtis MacDermid	Dysin Mayo

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brandon Baddock, Jan Drozg, Giorgio Estephan	Brandon Baddock, Jan Drozg	Giorgio Estephan

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Erik Burgdoerfer, Alexander Yelesin, Kurtis MacDermid	Erik Burgdoerfer	Alexander Yelesin, Kurtis MacDermid

Tirs de Pénalité
Jason Robertson, Lukas Elvenes, Andrew Agozzino, JC Lipon, Marko Dano

Gardien
#1 : Ryan Bednard, #2 :

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	Binghampton Senators	2	1	1	0	0	0	0	0	9	9	0	2	1	1	0	0	0	0	0	9	9	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	9	14	23	0	0	52	88	77	7	82	474	562	526	31	63	15	50	57	7	3	42.86%	6	1	83.33%	0	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
2	Boisbriand Armada	2	0	2	0	0	0	0	0	8	15	-7	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	8	15	-7	0	0.000	8	14	22	0	0	52	88	77	7	78	474	562	526	31	86	32	26	52	6	2	33.33%	3	3	0.00%	0	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
3	Calgary Hitman	4	1	1	0	1	0	0	1	19	22	-3	2	0	1	0	0	0	0	1	7	13	-6	2	1	0	0	1	0	0	0	12	9	3	5	0.625	19	32	51	0	0	52	88	77	7	125	474	562	526	31	144	49	53	94	11	2	18.18%	14	7	50.00%	1	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
4	Chicoutimi Sagueneens	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	4	7	0	0	52	88	77	7	33	474	562	526	31	42	17	12	23	4	0	0.00%	1	1	0.00%	0	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
5	Drummondville Voltigeurs	4	1	1	0	0	1	1	0	21	20	1	2	0	1	0	0	0	1	0	10	12	-2	2	1	0	0	0	1	0	0	11	8	3	5	0.625	21	35	56	0	0	52	88	77	7	141	474	562	526	31	152	57	91	96	10	3	30.00%	14	5	64.29%	0	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
6	Grand Rapids Griffins	1	0	1	0	0	0	0	0	7	9	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	7	9	-2	0	0.000	7	9	16	1	0	52	88	77	7	47	474	562	526	31	43	16	0	16	3	0	0.00%	0	0	0.00%	0	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
7	Las Vegas Wranglers	6	0	5	0	1	0	0	0	34	45	-11	3	0	2	0	1	0	0	0	14	19	-5	3	0	3	0	0	0	0	0	20	26	-6	2	0.167	34	55	89	0	0	52	88	77	7	252	474	562	526	31	278	102	203	121	20	7	35.00%	24	15	37.50%	0	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
8	Laval Rockets	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	4	7	0	0	52	88	77	7	48	474	562	526	31	31	19	7	17	2	0	0.00%	1	1	0.00%	0	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
9	London Knights	4	2	1	0	1	0	0	0	27	27	0	2	2	0	0	0	0	0	0	14	11	3	2	0	1	0	1	0	0	0	13	16	-3	6	0.750	27	43	70	0	0	52	88	77	7	151	474	562	526	31	149	39	166	90	10	3	30.00%	13	4	69.23%	1	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
10	Manitoba Moose	1	0	0	0	0	1	0	0	7	8	-1	1	0	0	0	0	1	0	0	7	8	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	7	12	19	0	0	52	88	77	7	40	474	562	526	31	40	19	20	24	5	2	40.00%	5	2	60.00%	0	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
11	Milwaukee Admirals	2	1	1	0	0	0	0	0	7	7	0	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	4	2	2	2	0.500	7	11	18	0	0	52	88	77	7	91	474	562	526	31	53	20	16	56	6	1	16.67%	3	2	33.33%	0	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
12	Portland Pirates	1	1	0	0	0	0	0	0	8	7	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	8	7	1	2	1.000	8	13	21	0	0	52	88	77	7	36	474	562	526	31	42	20	35	26	5	1	20.00%	5	4	20.00%	0	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
13	Quebec Rempart	1	1	0	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	4	2	2	1.000	6	10	16	0	0	52	88	77	7	36	474	562	526	31	31	12	14	18	5	2	40.00%	2	1	50.00%	0	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
14	Rochester Americans	2	2	0	0	0	0	0	0	17	9	8	1	1	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	7	4	3	4	1.000	17	30	47	0	0	52	88	77	7	86	474	562	526	31	78	17	44	46	4	1	25.00%	7	1	85.71%	0	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
15	Sherbrooke Phoenix	6	2	2	0	1	0	0	1	33	37	-4	4	0	2	0	1	0	0	1	18	25	-7	2	2	0	0	0	0	0	0	15	12	3	7	0.583	33	56	89	0	0	52	88	77	7	218	474	562	526	31	240	83	119	157	11	7	63.64%	22	4	81.82%	1	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
16	Toronto Marlies	2	1	1	0	0	0	0	0	12	9	3	1	0	1	0	0	0	0	0	4	6	-2	1	1	0	0	0	0	0	0	8	3	5	2	0.500	12	21	33	0	0	52	88	77	7	96	474	562	526	31	60	24	56	51	4	2	50.00%	4	0	100.00%	0	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
17	Victoriaville Tigres	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	1	2	3	0	0	52	88	77	7	24	474	562	526	31	29	4	7	23	4	1	25.00%	3	1	66.67%	0	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
	Total	41	13	19	0	4	2	1	2	222	243	-21	20	4	10	0	2	1	1	2	99	118	-19	21	9	9	0	2	1	0	0	123	125	-2	40	0.488	222	365	587	1	0	52	88	77	7	1584	474	562	526	31	1561	545	919	967	117	37	31.62%	127	52	59.06%	3	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
	_Since Last GM Reset	41	13	19	0	4	2	1	2	222	243	-21	20	4	10	0	2	1	1	2	99	118	-19	21	9	9	0	2	1	0	0	123	125	-2	40	0.488	222	365	587	1	0	52	88	77	7	1584	474	562	526	31	1561	545	919	967	117	37	31.62%	127	52	59.06%	3	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
	_Vs Conference	35	11	16	0	4	1	1	2	188	205	-17	18	4	9	0	2	0	1	2	89	105	-16	17	7	7	0	2	1	0	0	99	100	-1	35	0.500	188	313	501	0	0	52	88	77	7	1344	474	562	526	31	1332	442	831	843	93	32	34.41%	113	43	61.95%	3	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376
	_Vs Division	15	5	9	0	4	0	0	2	83	86	-3	9	2	5	0	2	0	0	2	47	53	-6	6	3	4	0	2	0	0	0	36	33	3	20	0.667	83	136	219	0	0	52	88	77	7	539	474	562	526	31	548	179	380	361	43	13	30.23%	52	19	63.46%	2	431	884	48.76%	413	779	53.02%	428	855	50.06%	859	476	860	388	765	376

			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
41	40	L1	222	365	587	1584	1561	545	919	967	1	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	13	19	4	2	1	2	222	243

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	4	10	2	1	1	2	99	118

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
21	9	9	2	1	0	0	123	125

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	4	2	0	0	0

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
117	37	31.62%	127	52	59.06%	3

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
474	562	526	31	52	88	77	7

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
431	884	48.76%	413	779	53.02%	428	855	50.06%

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
859	476	860	388	765	376

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
1 - 2020-11-10	3	Sherbrooke Phoenix	8	Lake Erie Monsters	6	L			Sommaire du Match
3 - 2020-11-12	29	Lake Erie Monsters	6	Sherbrooke Phoenix	4	W			Sommaire du Match
5 - 2020-11-14	42	London Knights	6	Lake Erie Monsters	7	W			Sommaire du Match
7 - 2020-11-16	62	Sherbrooke Phoenix	7	Lake Erie Monsters	2	L			Sommaire du Match
9 - 2020-11-18	75	Lake Erie Monsters	6	Calgary Hitman	4	W			Sommaire du Match
11 - 2020-11-20	98	Lake Erie Monsters	1	Victoriaville Tigres	5	L			Sommaire du Match
12 - 2020-11-21	106	Drummondville Voltigeurs	4	Lake Erie Monsters	5	W	X	X	Sommaire du Match
15 - 2020-11-24	130	London Knights	5	Lake Erie Monsters	7	W			Sommaire du Match
16 - 2020-11-25	146	Lake Erie Monsters	7	Rochester Americans	4	W			Sommaire du Match
17 - 2020-11-26	154	Lake Erie Monsters	4	Boisbriand Armada	8	L			Sommaire du Match
18 - 2020-11-27	169	Las Vegas Wranglers	8	Lake Erie Monsters	3	L			Sommaire du Match
21 - 2020-11-30	191	Calgary Hitman	7	Lake Erie Monsters	2	L			Sommaire du Match
22 - 2020-12-01	200	Lake Erie Monsters	9	Las Vegas Wranglers	12	L			Sommaire du Match
23 - 2020-12-02	215	Lake Erie Monsters	9	London Knights	8	W	X		Sommaire du Match
25 - 2020-12-04	231	Drummondville Voltigeurs	8	Lake Erie Monsters	5	L			Sommaire du Match
28 - 2020-12-07	249	Sherbrooke Phoenix	7	Lake Erie Monsters	6	L	X	X	Sommaire du Match
29 - 2020-12-08	263	Lake Erie Monsters	4	Milwaukee Admirals	2	W			Sommaire du Match
31 - 2020-12-10	276	Lake Erie Monsters	9	Sherbrooke Phoenix	8	W			Sommaire du Match
32 - 2020-12-11	291	Lake Erie Monsters	7	Grand Rapids Griffins	9	L			Sommaire du Match
34 - 2020-12-13	303	Calgary Hitman	6	Lake Erie Monsters	5	L	X	X	Sommaire du Match
36 - 2020-12-15	321	Milwaukee Admirals	5	Lake Erie Monsters	3	L			Sommaire du Match
39 - 2020-12-18	345	Lake Erie Monsters	6	Quebec Rempart	4	W			Sommaire du Match
40 - 2020-12-19	352	Binghampton Senators	7	Lake Erie Monsters	4	L			Sommaire du Match
42 - 2020-12-21	376	Manitoba Moose	8	Lake Erie Monsters	7	L	X		Sommaire du Match
43 - 2020-12-22	384	Lake Erie Monsters	6	Las Vegas Wranglers	8	L			Sommaire du Match
45 - 2020-12-24	406	Toronto Marlies	6	Lake Erie Monsters	4	L			Sommaire du Match
47 - 2020-12-26	418	Lake Erie Monsters	4	London Knights	8	L			Sommaire du Match
48 - 2020-12-27	431	Lake Erie Monsters	4	Drummondville Voltigeurs	5	L	X		Sommaire du Match
50 - 2020-12-29	448	Lake Erie Monsters	5	Las Vegas Wranglers	6	L			Sommaire du Match
52 - 2020-12-31	458	Rochester Americans	5	Lake Erie Monsters	10	W			Sommaire du Match
54 - 2021-01-02	480	Sherbrooke Phoenix	3	Lake Erie Monsters	4	W	X		Sommaire du Match
56 - 2021-01-04	498	Las Vegas Wranglers	7	Lake Erie Monsters	6	L			Sommaire du Match
57 - 2021-01-05	510	Lake Erie Monsters	8	Portland Pirates	7	W			Sommaire du Match
59 - 2021-01-07	527	Lake Erie Monsters	6	Calgary Hitman	5	W	X		Sommaire du Match
60 - 2021-01-08	537	Chicoutimi Sagueneens	5	Lake Erie Monsters	3	L			Sommaire du Match
63 - 2021-01-11	561	Las Vegas Wranglers	4	Lake Erie Monsters	5	W	X		Sommaire du Match
64 - 2021-01-12	574	Lake Erie Monsters	7	Drummondville Voltigeurs	3	W			Sommaire du Match
65 - 2021-01-13	583	Lake Erie Monsters	3	Laval Rockets	5	L			Sommaire du Match
67 - 2021-01-15	601	Lake Erie Monsters	8	Toronto Marlies	3	W			Sommaire du Match
68 - 2021-01-16	613	Binghampton Senators	2	Lake Erie Monsters	5	W			Sommaire du Match
70 - 2021-01-18	629	Lake Erie Monsters	4	Boisbriand Armada	7	L			Sommaire du Match
72 - 2021-01-20	642	Hershey Bears	-	Lake Erie Monsters	-
74 - 2021-01-22	660	Lake Erie Monsters	-	Lowell Devils	-
76 - 2021-01-24	674	London Knights	-	Lake Erie Monsters	-
78 - 2021-01-26	696	Milwaukee Admirals	-	Lake Erie Monsters	-
80 - 2021-01-28	716	Peoria Riverman	-	Lake Erie Monsters	-
81 - 2021-01-29	726	Lake Erie Monsters	-	Brampton Battalion	-
83 - 2021-01-31	745	Lake Erie Monsters	-	Rimouski Oceanic	-
84 - 2021-02-01	756	Drummondville Voltigeurs	-	Lake Erie Monsters	-
86 - 2021-02-03	776	Lake Erie Monsters	-	Calgary Hitman	-
87 - 2021-02-04	786	Brampton Battalion	-	Lake Erie Monsters	-
89 - 2021-02-06	803	Lake Erie Monsters	-	Sherbrooke Phoenix	-
90 - 2021-02-07	818	Brampton Battalion	-	Lake Erie Monsters	-
92 - 2021-02-09	834	Lake Erie Monsters	-	Manchester Monarchs	-
94 - 2021-02-11	853	Boisbriand Armada	-	Lake Erie Monsters	-
97 - 2021-02-14	872	Texas Stars	-	Lake Erie Monsters	-
98 - 2021-02-15	885	Lake Erie Monsters	-	Philadelphia Phantoms	-
99 - 2021-02-16	895	Lake Erie Monsters	-	London Knights	-
100 - 2021-02-17	902	Lake Erie Monsters	-	Hershey Bears	-
102 - 2021-02-19	918	Toronto Marlies	-	Lake Erie Monsters	-
105 - 2021-02-22	941	London Knights	-	Lake Erie Monsters	-
107 - 2021-02-24	958	Lake Erie Monsters	-	Rimouski Oceanic	-
109 - 2021-02-26	972	Grand Rapids Griffins	-	Lake Erie Monsters	-
110 - 2021-02-27	985	Lake Erie Monsters	-	Rochester Americans	-
112 - 2021-03-01	1002	Manchester Monarchs	-	Lake Erie Monsters	-
114 - 2021-03-03	1025	Victoriaville Tigres	-	Lake Erie Monsters	-
115 - 2021-03-04	1028	Lake Erie Monsters	-	Worcester Sharks	-
116 - 2021-03-05	1049	Lake Erie Monsters	-	Seattle Thunderbirds	-
118 - 2021-03-07	1065	Lowell Devils	-	Lake Erie Monsters	-
120 - 2021-03-09	1085	Lake Erie Monsters	-	Rochester Americans	-
121 - 2021-03-10	1096	Calgary Hitman	-	Lake Erie Monsters	-
124 - 2021-03-13	1117	Bridgeport Sound Tigers	-	Lake Erie Monsters	-
125 - 2021-03-14	1129	Lake Erie Monsters	-	Victoriaville Tigres	-
127 - 2021-03-16	1140	Lake Erie Monsters	-	Hartford Wolf Pack	-
128 - 2021-03-17	1157	Lake Erie Monsters	-	Peoria Riverman	-
130 - 2021-03-19	1173	Chicago Wolves	-	Lake Erie Monsters	-
131 - 2021-03-20	1180	Lake Erie Monsters	-	Manitoba Moose	-
134 - 2021-03-23	1203	Manchester Monarchs	-	Lake Erie Monsters	-
135 - 2021-03-24	1211	Lake Erie Monsters	-	Binghampton Senators	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
138 - 2021-03-27	1229	Lowell Devils	-	Lake Erie Monsters	-
141 - 2021-03-30	1248	Toronto Marlies	-	Lake Erie Monsters	-
143 - 2021-04-01	1270	Lake Erie Monsters	-	Binghampton Senators	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	30	10
Assistance	37,701	19,762
Assistance PCT	94.25%	98.81%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
21	2873 - 95.77%	98,984$	1,979,689$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
753,041$	1,473,117$	1,360,451$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	753,041$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
2,078,673$	75	10,660$	799,500$

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

	Lake Erie Monsters
	GP: 41 \| W: 18 \| L: 19 \| OTL: 4 \| P: 40 GF: 222 \| GA: 243 \| PP%: 31.62% \| PK%: 59.06% DG: Remi Souliere \| Morale : 46 \| Moyenne d'Équipe : 57 Prochain matchs #642 vs Hershey Bears