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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

		Capacity					Ticket Price					Attendance					Attendance PCT					Income						Expenses									Estimate				Team Total Estimate
#	Team	Level1	Level2	Level3	Level4	Luxury	Level1	Level2	Level3	Level4	Luxury	Level1	Level2	Level3	Level4	Luxury	Level1	Level2	Level3	Level4	Luxury	Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity	Players Total Salaries	Players Total Salaries Cap	Special Salary Cap Value	Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap	Luxury Taxe Total	Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses	Estimated Season Expenses	Estimated Season Salary Cap	Over Minimum Salary Cap of 35,000,000$	Maximum Salary Cap	Available Salary Cap	Current Bank Account	Projected Bank Account
1	Avalanche	6000	5000	2000	4000	1000	100	60	35	20	200	28582	24126	9627	19435	4916	95.27%	96.50%	96.27%	97.18%	98.32%	26	17337 - 96.32%	661,607$	3,308,034$	18000	100	53,238,500$	0$	0$	8,398,672$	516,879$	8,270,064$	20	0	0$	17,201,777$	87	524,917$	45,667,779$	47,593,839$	53,238,537$	18,238,537$	75,000,000$	21,761,463$	44,395,746$	14,003,684$
2	Blackhawks	6000	5000	2000	4000	1000	100	60	35	20	200	28779	24833	9743	19867	4966	95.93%	99.33%	97.43%	99.34%	99.32%	26	17638 - 97.99%	670,937$	3,354,683$	18000	100	64,543,703$	0$	0$	10,455,682$	626,638$	10,114,555$	20	0	0$	17,444,352$	87	647,958$	56,372,346$	58,301,286$	64,632,061$	29,632,061$	75,000,000$	10,367,939$	42,384,617$	1,527,683$
3	Bruins	6000	5000	2000	4000	1000	100	60	35	20	200	29296	24390	9859	19694	4814	97.65%	97.56%	98.59%	98.47%	96.28%	26	17611 - 97.84%	670,422$	3,352,110$	18000	100	65,062,143$	0$	0$	10,299,949$	631,671$	10,100,493$	20	0	0$	17,430,972$	87	644,137$	56,039,919$	58,757,859$	65,055,870$	30,055,870$	75,000,000$	9,944,130$	42,345,339$	1,018,452$
4	Canadiens	6000	5000	2000	4000	1000	100	60	35	20	200	23379	18858	7798	15516	3953	97.41%	94.29%	97.48%	96.98%	98.83%	27	17376 - 96.53%	665,944$	2,663,777$	18000	100	68,595,718$	0$	0$	10,948,304$	665,978$	10,655,648$	20	0	0$	17,980,495$	87	684,269$	59,531,403$	62,122,503$	68,595,734$	33,595,734$	75,000,000$	6,404,266$	41,024,513$	-3,117,495$
5	Canucks	6000	5000	2000	4000	1000	100	60	35	20	200	23731	19470	7688	15889	3978	98.88%	97.35%	96.10%	99.31%	99.45%	27	17689 - 98.27%	677,017$	2,708,069$	18000	100	73,483,333$	0$	0$	11,602,371$	713,430$	11,307,843$	22	0	0$	18,279,466$	87	731,838$	63,669,906$	66,037,926$	73,376,253$	38,376,253$	75,000,000$	1,623,747$	40,459,722$	-7,298,738$
6	Flames	6000	5000	2000	4000	1000	100	60	35	20	200	22945	19696	7869	15907	3918	95.60%	98.48%	98.36%	99.42%	97.95%	27	17584 - 97.69%	667,345$	2,669,378$	18000	100	62,816,590$	0$	0$	9,766,328$	609,870$	9,657,592$	20	0	0$	18,018,302$	87	616,666$	53,649,942$	57,258,582$	62,716,282$	27,716,282$	75,000,000$	12,283,718$	41,975,580$	2,735,300$
7	Flyers	6000	5000	2000	4000	1000	100	60	35	20	200	23475	19327	7786	15352	3920	97.81%	96.64%	97.33%	95.95%	98.00%	27	17465 - 97.03%	669,717$	2,678,868$	18000	100	67,122,263$	0$	0$	10,698,912$	651,672$	10,426,752$	21	0	0$	18,082,359$	87	668,682$	58,175,334$	60,216,474$	67,122,216$	32,122,216$	75,000,000$	7,877,784$	41,435,652$	-698,463$
8	Hurricanes	6000	5000	2000	4000	1000	100	60	35	20	200	23559	18594	7928	15980	3927	98.16%	92.97%	99.10%	99.88%	98.18%	27	17497 - 97.21%	667,428$	2,669,711$	18000	100	59,180,000$	0$	0$	9,472,624$	574,563$	9,193,008$	20	0	0$	18,020,549$	87	592,039$	51,507,393$	54,602,613$	59,179,989$	24,179,989$	75,000,000$	15,820,011$	42,371,695$	5,789,631$
9	Lightning	6000	5000	2000	4000	1000	100	60	35	20	200	29170	23994	9764	19724	4936	97.23%	95.98%	97.64%	98.62%	98.72%	26	17518 - 97.32%	668,807$	3,344,033$	18000	100	64,984,416$	0$	0$	10,411,552$	630,917$	10,094,672$	20	0	0$	17,388,972$	87	650,722$	56,612,814$	59,472,054$	64,984,451$	29,984,451$	75,000,000$	10,015,549$	42,170,017$	86,935$
10	Maple Leafs	6000	5000	2000	4000	1000	110	70	45	30	300	18870	14097	5600	9603	2381	78.63%	70.49%	70.00%	60.02%	59.53%	27	12638 - 70.21%	593,571$	2,374,284$	18000	100	59,583,333$	0$	0$	9,613,568$	578,479$	9,255,664$	20	0	0$	16,026,417$	87	600,848$	52,273,776$	56,346,696$	59,583,337$	24,583,337$	75,000,000$	15,416,663$	41,674,604$	1,354,325$
11	Red Wings	6000	5000	2000	4000	1000	100	60	35	20	200	29225	23852	9913	19389	4802	97.42%	95.41%	99.13%	96.95%	96.04%	26	17436 - 96.87%	665,363$	3,326,815$	18000	100	69,658,712$	0$	0$	11,167,488$	676,298$	10,820,768$	21	0	0$	17,299,438$	87	697,968$	60,723,216$	63,588,456$	69,658,694$	34,658,694$	75,000,000$	5,341,306$	41,395,263$	-4,893,755$
12	Sharks	6000	5000	2000	4000	1000	100	60	35	20	200	23012	19732	7699	15501	3826	95.88%	98.66%	96.24%	96.88%	95.65%	27	17443 - 96.90%	664,098$	2,656,392$	18000	100	62,001,667$	0$	0$	9,874,398$	601,958$	9,626,468$	20	0	0$	17,930,646$	87	617,453$	53,718,411$	56,809,131$	61,996,814$	26,996,814$	75,000,000$	13,003,186$	41,957,142$	3,078,657$