ASHL - Charlotte Checkers

Carolina Hurricanes
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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	Ales Hemsky (C)			X		100.00	57	40	86	74	68	69	69	82	50	79	75	63	84	99	99	70	54	0	0	37	1	800,000$
2	Kiefer Sherwood (R)	X	X	X		100.00	78	38	76	77	83	85	84	78	73	77	75	74	71	69	69	70	50	0	0	25	2	950,000$
3	Andrew Ladd		X			99.00	77	45	80	70	80	84	86	76	62	75	74	75	80	99	99	70	34	0	0	35	1	2,000,000$
4	Joe Colborne	X	X			99.00	71	40	92	75	87	80	78	77	75	78	76	67	76	89	91	70	55	0	0	30	2	1,200,000$
5	Daniel Carr		X	X		100.00	70	40	82	76	79	82	80	77	65	75	77	70	75	71	71	70	42	0	0	29	2	1,200,000$
6	Paul Byron (A)	X	X	X		100.00	72	37	93	84	74	74	73	74	76	74	75	66	75	91	95	70	53	0	0	31	2	1,200,000$
7	Zac Dalpe	X		X		96.00	64	42	90	79	80	79	78	80	78	79	76	68	78	92	96	70	49	0	0	31	1	1,800,000$
8	Carter Ashton			X		99.00	83	43	73	73	83	78	76	74	68	75	75	71	73	85	87	70	55	0	0	29	2	1,300,000$
9	Joey Hishon	X				100.00	75	40	79	76	75	79	77	75	74	78	76	63	73	83	84	70	54	0	0	29	1	1,100,000$
10	Oscar Lindberg	X	X			100.00	78	40	76	75	79	83	81	76	76	76	74	66	77	80	79	70	55	0	0	29	1	930,000$
11	Sondre Olden		X	X		100.00	75	35	80	78	79	79	79	77	65	77	77	68	76	76	81	70	49	0	0	28	1	1,450,000$
12	Kenny Agostino		X			99.00	84	45	74	80	82	82	81	79	65	81	79	68	76	80	80	70	53	0	0	28	2	1,300,000$
13	Anton Volchenkov (A)				X	100.00	83	45	74	61	84	69	68	62	50	67	55	86	51	99	99	70	42	0	0	38	1	850,000$
14	Alexei Bereglazov (R)				X	100.00	76	42	76	69	80	76	75	68	50	70	57	80	51	58	61	70	57	0	0	26	2	1,000,000$
15	Theo Peckham				X	99.00	97	48	67	72	91	82	80	73	50	75	60	85	60	98	99	70	57	0	0	33	2	1,900,000$
16	Michael Paliotta				X	99.00	91	50	70	74	88	82	79	76	50	76	62	84	60	79	79	70	54	0	0	27	1	1,400,000$
17	Markus Lauridsen				X	100.00	85	43	77	72	80	80	75	72	50	75	60	84	58	85	82	70	56	0	0	29	2	1,000,000$
18	Patrik Nemeth				X	100.00	90	43	75	73	87	77	74	71	50	77	59	83	57	87	84	70	58	0	0	28	3	1,400,000$
Rayé
1	Radovan Bondra (R)		X	X		100.00	87	50	68	72	86	76	76	72	65	73	71	69	66	64	62	70	47	0	0	23	2	600,000$
2	Stephen Johns				X	78.35	91	46	70	70	88	77	74	73	50	76	61	85	59	77	80	70	42	0	0	28	3	1,300,000$

	MOYENNE D'ÉQUIPE					98.40	79	43	78	74	82	79	77	75	62	76	70	74	69	83	84	70	51	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	Ben Scrivens	100.00	83	80	85	88	84	86	88	86	83	85	87	87	90	70	53	0	0
2	Cameron Talbot	100.00	82	78	80	85	85	83	82	81	84	83	84	80	84	70	33	0	0
3	Jhonas Enroth	97.00	85	81	84	85	89	88	88	88	88	89	85	86	94	70	30	0	0
Rayé

	MOYENNE D'ÉQUIPE	99.00	83	80	83	86	86	86	86	85	85	86	85	84	89	70	39	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Stevens	85	90	85	80	80	80	70	CAN	54	2	900,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	P/20	PSG	PSS	S1	S2	S3
1	Theo Peckham	Charlotte Checkers (CAR)	D	23	1	18	19	7	34	69	23	48	17	23	2.08%	38	573	24.93	1	2	3	21	62	0	1	1	0	73	0	0	0.00%	0	0	0.66	0	0	1	0	2
2	Zac Dalpe	Charlotte Checkers (CAR)	C/RW	23	10	9	19	6	2	5	52	67	15	48	14.93%	4	453	19.70	1	0	1	9	61	1	0	1	2	63	3	1	54.95%	646	0	0.84	1	2	2	1	1
3	Patrik Nemeth	Charlotte Checkers (CAR)	D	23	2	12	14	3	16	29	22	23	21	35	8.70%	44	537	23.36	0	4	4	12	59	0	0	0	0	77	0	0	0.00%	0	0	0.52	0	0	1	0	0
4	Paul Byron	Charlotte Checkers (CAR)	C/LW/RW	23	10	2	12	6	6	12	37	67	16	38	14.93%	0	356	15.49	2	0	2	13	35	0	0	0	0	18	2	2	53.39%	339	0	0.67	1	2	2	1	0
5	Sondre Olden	Charlotte Checkers (CAR)	LW/RW	23	6	6	12	-7	4	24	9	47	10	33	12.77%	1	287	12.48	2	2	4	7	42	0	0	0	0	8	1	0	62.50%	24	0	0.84	0	0	0	1	0
6	Markus Lauridsen	Charlotte Checkers (CAR)	D	23	2	9	11	-6	20	19	15	22	12	12	9.09%	38	455	19.81	1	3	4	9	52	0	0	0	0	71	0	0	0.00%	0	0	0.48	0	0	0	0	2
7	Joe Colborne	Charlotte Checkers (CAR)	C/LW	23	2	8	10	-6	4	12	40	41	13	40	4.88%	0	364	15.86	0	3	3	6	47	0	0	0	0	48	0	1	54.00%	437	0	0.55	0	0	1	0	0
8	Kenny Agostino	Charlotte Checkers (CAR)	LW	23	5	5	10	-1	24	62	40	65	19	58	7.69%	3	458	19.92	0	1	1	9	63	0	0	0	1	81	0	1	47.94%	194	0	0.44	1	3	1	1	1
9	Daniel Carr	Charlotte Checkers (CAR)	LW/RW	23	1	7	8	3	2	7	13	21	10	16	4.76%	1	169	7.35	0	0	0	0	1	0	0	0	0	2	0	0	46.15%	13	0	0.95	0	0	0	0	0
10	Alexei Bereglazov	Charlotte Checkers (CAR)	D	23	2	6	8	-5	10	27	21	14	3	9	14.29%	18	387	16.87	0	0	0	1	4	0	0	0	0	38	0	1	0.00%	0	0	0.41	0	0	0	0	0
11	Oscar Lindberg	Charlotte Checkers (CAR)	C/LW	23	5	2	7	-8	6	30	38	47	14	41	10.64%	4	402	17.49	0	0	0	0	0	0	0	0	0	7	1	0	55.02%	229	1	0.35	0	0	1	0	0
12	Ales Hemsky	Charlotte Checkers (CAR)	RW	23	3	3	6	-8	2	0	9	45	9	24	6.67%	4	212	9.22	0	0	0	0	2	0	0	0	0	1	1	0	57.14%	14	0	0.57	0	1	0	1	0
13	Anton Volchenkov	Charlotte Checkers (CAR)	D	14	1	5	6	2	12	22	9	12	2	8	8.33%	14	190	13.60	0	0	0	1	0	0	0	0	0	5	0	0	0.00%	0	0	0.63	0	0	0	0	1
14	Michael Paliotta	Charlotte Checkers (CAR)	D	18	4	2	6	-9	20	24	22	22	7	14	18.18%	19	274	15.27	1	0	1	9	14	0	1	1	0	26	0	0	0.00%	0	0	0.44	0	0	1	0	0
15	Stephen Johns	Charlotte Checkers (CAR)	D	17	1	4	5	-4	12	31	22	23	5	15	4.35%	33	332	19.57	0	0	0	11	39	0	0	0	1	50	0	0	0.00%	0	0	0.30	0	0	0	0	0
16	Kiefer Sherwood	Charlotte Checkers (CAR)	C/LW/RW	23	1	3	4	-2	6	27	24	73	24	46	1.37%	4	405	17.64	1	1	2	16	64	0	0	0	0	60	0	0	57.58%	66	0	0.20	0	0	0	0	0
17	Carter Ashton	Charlotte Checkers (CAR)	RW	23	1	3	4	4	16	48	26	40	13	31	2.50%	3	310	13.49	0	0	0	1	11	0	0	0	0	0	0	0	63.64%	11	0	0.26	0	0	1	0	0
18	Joey Hishon	Charlotte Checkers (CAR)	C	23	1	3	4	-1	10	22	15	28	5	20	3.57%	4	228	9.92	0	0	0	2	5	0	0	0	0	0	0	0	45.54%	112	0	0.35	0	0	0	0	0
19	Andrew Ladd	Charlotte Checkers (CAR)	LW	13	1	2	3	0	4	15	9	20	7	13	5.00%	4	181	13.98	1	1	2	3	14	0	0	0	0	51	0	0	42.86%	14	0	0.33	0	0	0	0	0
20	Radovan Bondra	Charlotte Checkers (CAR)	LW/RW	18	2	0	2	-6	6	27	8	18	6	19	11.11%	1	191	10.65	0	0	0	0	0	0	0	0	0	0	0	0	44.44%	18	0	0.21	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				425	61	109	170	-32	216	512	454	743	228	543	8.21%	237	6772	15.94	10	17	27	130	585	1	2	3	4	687	8	6	53.38%	2117	1	0.50	3	8	11	5	7

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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
1	Jhonas Enroth	Charlotte Checkers (CAR)	22	10	9	2	0.891	3.42	1211	2	69	635	1	2	0.875	8	22	0	1	4
2	Ben Scrivens	Charlotte Checkers (CAR)	5	0	1	1	0.948	2.06	146	0	5	96	0	0	0.000	0	1	22	0	0
3	Cameron Talbot	Charlotte Checkers (CAR)	1	0	0	0	1.000	0.00	41	0	0	25	0	0	0.000	0	0	1	0	0
Stats d'équipe Total ou en Moyenne			28	10	10	3	0.902	3.17	1399	2	74	756	1	2	0.875	8	23	23	1	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
Ales Hemsky	Charlotte Checkers (CAR)	RW	37	1982-01-22 18:29:38	No	184 Lbs	6 ft0	No	No	No	1	Pro & Farm	800,000$	587,234$	800,000$	587,234$	0$	0$	No
Alexei Bereglazov	Charlotte Checkers (CAR)	D	26	1993-01-22 03:52:06	Yes	205 Lbs	6 ft4	No	No	No	2	Pro & Farm	1,000,000$	734,042$	1,000,000$	734,042$	0$	0$	No	1,000,000$
Andrew Ladd	Charlotte Checkers (CAR)	LW	35	1984-01-22 06:29:38	No	205 Lbs	6 ft3	No	No	No	1	Pro & Farm	2,000,000$	1,468,085$	2,000,000$	1,468,085$	0$	0$	No
Anton Volchenkov	Charlotte Checkers (CAR)	D	38	1981-01-22 12:29:38	No	225 Lbs	6 ft1	No	No	No	1	Pro & Farm	850,000$	623,936$	850,000$	623,936$	0$	0$	No
Ben Scrivens	Charlotte Checkers (CAR)	G	34	1985-01-22 18:29:38	No	183 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,500,000$	1,101,063$	1,500,000$	1,101,063$	0$	0$	No
Cameron Talbot	Charlotte Checkers (CAR)	G	33	1986-01-22 00:29:38	No	200 Lbs	6 ft3	No	No	No	1	Pro & Farm	850,000$	623,936$	850,000$	623,936$	0$	0$	No
Carter Ashton	Charlotte Checkers (CAR)	RW	29	1990-01-22 17:03:26	No	215 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,300,000$	954,255$	1,300,000$	954,255$	0$	0$	No	1,300,000$
Daniel Carr	Charlotte Checkers (CAR)	LW/RW	29	1990-01-22 06:38:38	No	192 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,200,000$	880,851$	1,200,000$	880,851$	0$	0$	No	1,200,000$
Jhonas Enroth	Charlotte Checkers (CAR)	G	32	1987-01-22 06:29:38	No	166 Lbs	5 ft10	No	No	No	2	Pro & Farm	1,600,000$	1,174,468$	1,600,000$	1,174,468$	0$	0$	No	1,600,000$
Joe Colborne	Charlotte Checkers (CAR)	C/LW	30	1989-01-22 12:29:38	No	213 Lbs	6 ft5	No	No	No	2	Pro & Farm	1,200,000$	880,851$	1,200,000$	880,851$	0$	0$	No	1,200,000$
Joey Hishon	Charlotte Checkers (CAR)	C	29	1990-01-22 12:26:47	No	175 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,100,000$	807,446$	1,100,000$	807,446$	0$	0$	No
Kenny Agostino	Charlotte Checkers (CAR)	LW	28	1991-01-22 16:08:28	No	200 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,300,000$	954,255$	1,300,000$	954,255$	0$	0$	No	1,300,000$
Kiefer Sherwood	Charlotte Checkers (CAR)	C/LW/RW	25	1994-01-22 03:28:22	Yes	194 Lbs	6 ft0	No	No	No	2	Pro & Farm	950,000$	697,340$	950,000$	697,340$	0$	0$	No	950,000$
Markus Lauridsen	Charlotte Checkers (CAR)	D	29	1990-01-22 04:26:19	No	205 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,000,000$	734,042$	1,000,000$	734,042$	0$	0$	No	1,000,000$
Michael Paliotta	Charlotte Checkers (CAR)	D	27	1992-01-22 16:21:00	No	201 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,400,000$	1,027,659$	1,400,000$	1,027,659$	0$	0$	No
Oscar Lindberg	Charlotte Checkers (CAR)	C/LW	29	1990-01-22 09:38:25	No	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	930,000$	682,659$	930,000$	682,659$	0$	0$	No
Patrik Nemeth	Charlotte Checkers (CAR)	D	28	1991-01-22 05:41:31	No	233 Lbs	6 ft4	No	No	No	3	Pro & Farm	1,400,000$	1,027,659$	1,400,000$	1,027,659$	0$	0$	No	1,400,000$	1,400,000$
Paul Byron	Charlotte Checkers (CAR)	C/LW/RW	31	1988-01-22 06:29:38	No	170 Lbs	5 ft9	No	No	No	2	Pro & Farm	1,200,000$	880,851$	1,200,000$	880,851$	0$	0$	No	1,200,000$
Radovan Bondra	Charlotte Checkers (CAR)	LW/RW	23	1996-01-22 10:25:16	Yes	216 Lbs	6 ft5	No	No	No	2	Pro & Farm	600,000$	440,425$	600,000$	440,425$	0$	0$	No	600,000$
Sondre Olden	Charlotte Checkers (CAR)	LW/RW	28	1991-01-22 02:24:22	No	194 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,450,000$	1,064,361$	1,450,000$	1,064,361$	0$	0$	No
Stephen Johns (Sur la Masse Salariale)	Charlotte Checkers (CAR)	D	28	1991-01-22 11:57:49	No	233 Lbs	6 ft4	No	No	No	3	Pro & Farm	1,300,000$	954,255$	1,300,000$	954,255$	0$	0$	Yes	1,300,000$	1,300,000$
Theo Peckham	Charlotte Checkers (CAR)	D	33	1986-01-22 18:29:38	No	234 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,900,000$	1,394,680$	1,900,000$	1,394,680$	0$	0$	No	1,900,000$
Zac Dalpe	Charlotte Checkers (CAR)	C/RW	31	1988-01-22 06:29:38	No	195 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,800,000$	1,321,276$	1,800,000$	1,321,276$	0$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	30.09	201 Lbs	6 ft2	1.65	1,244,783$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Andrew Ladd	Zac Dalpe	Kiefer Sherwood	25	1	2	2
2	Kenny Agostino	Joe Colborne	Carter Ashton	25	1	2	2
3	Oscar Lindberg	Joey Hishon	Paul Byron	25	1	2	2
4	Daniel Carr	Zac Dalpe	Sondre Olden	25	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Theo Peckham	Michael Paliotta	25	1	2	2
2	Patrik Nemeth	Markus Lauridsen	25	1	2	2
3	Anton Volchenkov	Alexei Bereglazov	25	1	2	2
4	Theo Peckham	Michael Paliotta	25	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Andrew Ladd	Zac Dalpe	Kiefer Sherwood	60	1	2	2
2	Kenny Agostino	Joe Colborne	Carter Ashton	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Theo Peckham	Michael Paliotta	60	1	2	2
2	Patrik Nemeth	Markus Lauridsen	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Zac Dalpe	Andrew Ladd	60	1	2	2
2	Kenny Agostino	Joe Colborne	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Theo Peckham	Michael Paliotta	60	1	2	2
2	Patrik Nemeth	Markus Lauridsen	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Zac Dalpe	60	1	2	2	Theo Peckham	Michael Paliotta	60	1	2	2
2	Andrew Ladd	40	1	2	2	Patrik Nemeth	Markus Lauridsen	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Zac Dalpe	Andrew Ladd	60	1	2	2
2	Kenny Agostino	Joe Colborne	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Theo Peckham	Michael Paliotta	60	1	2	2
2	Patrik Nemeth	Markus Lauridsen	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Andrew Ladd	Zac Dalpe	Kiefer Sherwood	Theo Peckham	Michael Paliotta

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Andrew Ladd	Zac Dalpe	Kiefer Sherwood	Theo Peckham	Michael Paliotta

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ales Hemsky, Joey Hishon, Oscar Lindberg	Ales Hemsky, Joey Hishon	Oscar Lindberg

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Anton Volchenkov, Alexei Bereglazov, Patrik Nemeth	Anton Volchenkov	Alexei Bereglazov, Patrik Nemeth

Tirs de Pénalité
Zac Dalpe, Andrew Ladd, Kenny Agostino, Joe Colborne, Kiefer Sherwood

Gardien
#1 : Jhonas Enroth, #2 : Ben Scrivens, #3 : Cameron Talbot

Lignes d'Attaque Perso. en Prol.
Zac Dalpe, Andrew Ladd, Kenny Agostino, Joe Colborne, Kiefer Sherwood, Joey Hishon, Joey Hishon, Carter Ashton, Oscar Lindberg, Paul Byron, Daniel Carr

Lignes de Défense Perso. en Prol.
Theo Peckham, Michael Paliotta, Patrik Nemeth, Markus Lauridsen, Anton Volchenkov

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	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	22	19	18	5	32	231	242	254	24	25	2	4	26	1	1	100.00%	2	1	50.00%	0	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
2	Binghamton Senators	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	22	19	18	5	34	231	242	254	24	27	7	12	31	2	0	0.00%	5	0	100.00%	0	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
3	Bridgeport Sound Tigers	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	1	0	22	19	18	5	24	231	242	254	24	38	10	8	24	6	1	16.67%	4	2	50.00%	0	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
4	CCCP Red Army	2	0	1	0	0	0	1	0	7	8	-1	1	0	0	0	0	0	1	0	4	3	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	9	16	0	0	22	19	18	5	62	231	242	254	24	58	13	20	50	3	1	33.33%	9	3	66.67%	0	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
5	Chicago Wolves	2	0	0	0	1	1	0	0	7	7	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	1	1	0	0	7	7	0	3	0.750	7	13	20	0	0	22	19	18	5	70	231	242	254	24	56	19	6	46	7	1	14.29%	3	0	100.00%	0	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
6	Chicoutimi Saguenéens	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	22	19	18	5	38	231	242	254	24	31	14	4	20	2	0	0.00%	2	1	50.00%	0	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
7	Connecticut Whale	1	0	1	0	0	0	0	0	0	5	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	0	0	0	0	0	22	19	18	5	14	231	242	254	24	46	18	14	26	1	0	0.00%	7	0	100.00%	0	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
8	Lake Erie Monsters	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	0	22	19	18	5	16	231	242	254	24	43	17	22	21	1	0	0.00%	10	2	80.00%	1	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
9	Las Vegas Gamblers	2	1	1	0	0	0	0	0	6	6	0	2	1	1	0	0	0	0	0	6	6	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	6	11	17	0	0	22	19	18	5	68	231	242	254	24	64	21	22	41	9	1	11.11%	11	2	81.82%	0	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
10	Manitoba Moose	3	0	1	0	1	0	1	0	8	10	-2	1	0	0	0	1	0	0	0	5	4	1	2	0	1	0	0	0	1	0	3	6	-3	4	0.667	8	13	21	0	0	22	19	18	5	98	231	242	254	24	93	26	20	67	8	2	25.00%	10	2	80.00%	0	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
11	Mercer Island Hafgufa	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	1	4	2	1.000	5	9	14	0	0	22	19	18	5	50	231	242	254	24	34	18	8	22	4	0	0.00%	2	0	100.00%	0	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
12	Norfolk Admirals	2	1	1	0	0	0	0	0	3	6	-3	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	0	4	-4	2	0.500	3	6	9	0	0	22	19	18	5	58	231	242	254	24	63	11	24	37	8	0	0.00%	10	2	80.00%	0	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
13	Providence Bruins	2	0	0	0	0	1	0	1	7	9	-2	1	0	0	0	0	1	0	0	4	5	-1	1	0	0	0	0	0	0	1	3	4	-1	2	0.500	7	12	19	0	0	22	19	18	5	77	231	242	254	24	59	22	26	48	6	2	33.33%	13	2	84.62%	0	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
14	Rochester Americans	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	3	5	0	0	22	19	18	5	30	231	242	254	24	53	11	16	16	3	0	0.00%	8	0	100.00%	0	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
15	San Antonio Rampage	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	6	10	0	0	22	19	18	5	34	231	242	254	24	29	13	2	20	6	1	16.67%	0	0	0.00%	0	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
	Total	23	6	10	0	2	2	2	1	63	77	-14	11	4	4	0	1	1	1	0	34	35	-1	12	2	6	0	1	1	1	1	29	42	-13	23	0.500	63	109	172	2	0	22	19	18	5	743	231	242	254	24	758	237	218	512	68	10	14.71%	100	19	81.00%	1	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
16	Trois-Rivières Draveurs	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	2	3	1	0	22	19	18	5	38	231	242	254	24	39	15	10	17	1	0	0.00%	4	2	50.00%	0	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
	_Since Last GM Reset	23	6	10	0	2	2	2	1	63	77	-14	11	4	4	0	1	1	1	0	34	35	-1	12	2	6	0	1	1	1	1	29	42	-13	23	0.500	63	109	172	2	0	22	19	18	5	743	231	242	254	24	758	237	218	512	68	10	14.71%	100	19	81.00%	1	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144
	_Vs Conference	17	4	8	0	1	1	2	1	42	59	-17	9	3	3	0	1	1	1	0	28	29	-1	8	1	5	0	0	0	1	1	14	30	-16	16	0.471	42	70	112	2	0	22	19	18	5	539	231	242	254	24	561	162	160	382	47	8	17.02%	74	15	79.73%	0	461	857	53.79%	481	895	53.74%	188	334	56.29%	546	372	560	170	295	144

			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
23	23	W2	63	109	172	743	758	237	218	512	2	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	6	10	2	2	2	1	63	77

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	4	4	1	1	1	0	34	35

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	2	6	1	1	1	1	29	42

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

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
68	10	14.71%	100	19	81.00%	1

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
231	242	254	24	22	19	18	5

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
461	857	53.79%	481	895	53.74%	188	334	56.29%

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
546	372	560	170	295	144

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 - 2020-10-28	2	Las Vegas Gamblers	4	Charlotte Checkers	2	L			Sommaire du Match
3 - 2020-10-30	19	Charlotte Checkers	0	Connecticut Whale	5	L			Sommaire du Match
6 - 2020-11-02	47	Adirondack Phantoms	1	Charlotte Checkers	3	W			Sommaire du Match
7 - 2020-11-03	55	Charlotte Checkers	4	Chicago Wolves	5	L	X		Sommaire du Match
10 - 2020-11-06	74	Chicoutimi Saguenéens	4	Charlotte Checkers	5	W			Sommaire du Match
12 - 2020-11-08	95	Charlotte Checkers	3	CCCP Red Army	5	L			Sommaire du Match
14 - 2020-11-10	111	Las Vegas Gamblers	2	Charlotte Checkers	4	W			Sommaire du Match
16 - 2020-11-12	120	Charlotte Checkers	0	Norfolk Admirals	4	L			Sommaire du Match
18 - 2020-11-14	139	CCCP Red Army	3	Charlotte Checkers	4	W	X	X	Sommaire du Match
21 - 2020-11-17	160	Charlotte Checkers	4	San Antonio Rampage	3	W			Sommaire du Match
23 - 2020-11-19	175	Norfolk Admirals	2	Charlotte Checkers	3	W			Sommaire du Match
26 - 2020-11-22	197	Charlotte Checkers	3	Manitoba Moose	2	W	X	X	Sommaire du Match
28 - 2020-11-24	207	Charlotte Checkers	3	Chicago Wolves	2	W	X		Sommaire du Match
30 - 2020-11-26	218	Bridgeport Sound Tigers	3	Charlotte Checkers	1	L			Sommaire du Match
32 - 2020-11-28	238	Rochester Americans	3	Charlotte Checkers	2	L			Sommaire du Match
35 - 2020-12-01	261	Charlotte Checkers	3	Providence Bruins	4	L	X	X	Sommaire du Match
37 - 2020-12-03	274	Binghamton Senators	4	Charlotte Checkers	1	L			Sommaire du Match
40 - 2020-12-06	292	Charlotte Checkers	3	Lake Erie Monsters	4	L			Sommaire du Match
42 - 2020-12-08	310	Providence Bruins	5	Charlotte Checkers	4	L	X		Sommaire du Match
44 - 2020-12-10	328	Charlotte Checkers	0	Manitoba Moose	4	L			Sommaire du Match
46 - 2020-12-12	341	Charlotte Checkers	1	Trois-Rivières Draveurs	3	L			Sommaire du Match
48 - 2020-12-14	349	Manitoba Moose	4	Charlotte Checkers	5	W	X		Sommaire du Match
50 - 2020-12-16	366	Charlotte Checkers	5	Mercer Island Hafgufa	1	W			Sommaire du Match
52 - 2020-12-18	380	The Nuuk Vikings	-	Charlotte Checkers	-
54 - 2020-12-20	390	Charlotte Checkers	-	Connecticut Whale	-
57 - 2020-12-23	414	Bridgeport Sound Tigers	-	Charlotte Checkers	-
60 - 2020-12-26	437	Charlotte Checkers	-	Roberval Dwarfs	-
61 - 2020-12-27	447	Gatineau Olympiques	-	Charlotte Checkers	-
64 - 2020-12-30	461	Charlotte Checkers	-	Albany Devils	-
66 - 2021-01-01	478	Charlotte Checkers	-	Wilkes-Barre/Scranton Penguins	-
67 - 2021-01-02	487	Adirondack Phantoms	-	Charlotte Checkers	-
70 - 2021-01-05	508	Charlotte Checkers	-	Chicago Wolves	-
71 - 2021-01-06	519	Manitoba Moose	-	Charlotte Checkers	-
74 - 2021-01-09	539	Charlotte Checkers	-	Rouyn-Noranda Huskies	-
76 - 2021-01-11	552	Trois-Rivières Draveurs	-	Charlotte Checkers	-
79 - 2021-01-14	576	Binghamton Senators	-	Charlotte Checkers	-
81 - 2021-01-16	593	Charlotte Checkers	-	Providence Bruins	-
84 - 2021-01-19	609	Charlotte Checkers	-	Lake Erie Monsters	-
86 - 2021-01-21	620	Albany Devils	-	Charlotte Checkers	-
88 - 2021-01-23	641	Charlotte Checkers	-	San Antonio Rampage	-
89 - 2021-01-24	645	Charlotte Checkers	-	CCCP Red Army	-
91 - 2021-01-26	659	Lake Erie Monsters	-	Charlotte Checkers	-
94 - 2021-01-29	683	Las Vegas Gamblers	-	Charlotte Checkers	-
96 - 2021-01-31	702	Charlotte Checkers	-	Trois-Rivières Draveurs	-
98 - 2021-02-02	714	Charlotte Checkers	-	Albany Devils	-
99 - 2021-02-03	722	Peoria Rivermen	-	Charlotte Checkers	-
102 - 2021-02-06	747	Joliette Sportif	-	Charlotte Checkers	-
104 - 2021-02-08	763	Charlotte Checkers	-	Binghamton Senators	-
106 - 2021-02-10	776	Charlotte Checkers	-	Milwaukee Admirals	-
108 - 2021-02-12	790	Joliette Sportif	-	Charlotte Checkers	-
109 - 2021-02-13	803	Charlotte Checkers	-	Adirondack Phantoms	-
112 - 2021-02-16	817	Charlotte Checkers	-	Chicoutimi Saguenéens	-
113 - 2021-02-17	825	San Antonio Rampage	-	Charlotte Checkers	-
116 - 2021-02-20	851	Norfolk Admirals	-	Charlotte Checkers	-
120 - 2021-02-24	875	Charlotte Checkers	-	Laval Chiefs	-
121 - 2021-02-25	884	San Antonio Rampage	-	Charlotte Checkers	-
124 - 2021-02-28	905	Charlotte Checkers	-	Rochester Americans	-
125 - 2021-03-01	917	Chicago Wolves	-	Charlotte Checkers	-
128 - 2021-03-04	942	Rockford IceHogs	-	Charlotte Checkers	-
129 - 2021-03-05	947	Charlotte Checkers	-	Houston Aeros	-
133 - 2021-03-09	980	CCCP Red Army	-	Charlotte Checkers	-
135 - 2021-03-11	990	Charlotte Checkers	-	Oklahoma City Barons	-
138 - 2021-03-14	1013	Connecticut Whale	-	Charlotte Checkers	-
139 - 2021-03-15	1020	Charlotte Checkers	-	Bridgeport Sound Tigers	-
143 - 2021-03-19	1043	Chicoutimi Saguenéens	-	Charlotte Checkers	-
145 - 2021-03-21	1057	Charlotte Checkers	-	Grand Rapids Griffins	-
147 - 2021-03-23	1078	Roberval Dwarfs	-	Charlotte Checkers	-
150 - 2021-03-26	1092	Charlotte Checkers	-	Springfield Falcons	-
153 - 2021-03-29	1112	Connecticut Whale	-	Charlotte Checkers	-
154 - 2021-03-30	1127	Charlotte Checkers	-	Henderson Silver Knights	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
157 - 2021-04-02	1145	Roberval Dwarfs	-	Charlotte Checkers	-
162 - 2021-04-07	1176	Chicoutimi Saguenéens	-	Charlotte Checkers	-
165 - 2021-04-10	1196	Charlotte Checkers	-	Peoria Rivermen	-
166 - 2021-04-11	1206	Laval Chiefs	-	Charlotte Checkers	-
167 - 2021-04-12	1210	Charlotte Checkers	-	Norfolk Admirals	-
171 - 2021-04-16	1238	Wilkes-Barre/Scranton Penguins	-	Charlotte Checkers	-
176 - 2021-04-21	1266	Charlotte Checkers	-	Connecticut Whale	-
178 - 2021-04-23	1277	Laval Chiefs	-	Charlotte Checkers	-
183 - 2021-04-28	1297	Rochester Americans	-	Charlotte Checkers	-
186 - 2021-05-01	1314	Charlotte Checkers	-	Wilkes-Barre/Scranton Penguins	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	50	35
Assistance	22,000	10,982
Assistance PCT	100.00%	99.84%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
29	2998 - 99.95%	121,306$	1,334,370$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
956,432$	2,733,000$	2,733,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
14,537$	715,566$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
3,517,885$	138	19,324$	2,666,712$

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