Table:
Club	Season	League	National Cup	League Cup	Continental	Other	Total

Division	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals

Sheffield United	2000–01	First Division	27	0	1	0	1	0	–	29	0

2001–02	31	2	1	0	0	0	–	32	2

2002–03	23	0	3	0	6	1	–	0	0	32	1

2003–04	36	3	4	0	1	0	–	41	3

2004–05	Championship	25	1	5	0	3	0	–	33	1

2005–06	39	1	1	0	0	0	–	40	1

2006–07	Premier League	26	0	1	0	1	1	–	28	1

2007–08	Championship	20	0	1	0	2	0	–	23	0

2008–09	28	0	3	0	1	0	–	3	0	35	0

2009–10	39	1	3	0	1	0	–	43	1

2010–11	35	0	0	0	1	0	–	36	0

2011–12	League One	22	1	1	0	1	0	–	1	0	25	1

Sheffield United total	351	9	24	0	18	2	–	4	0	397	11

Millwall (loan)	2011–12	Championship	2	0	0	0	0	0	–	2	0

Central Coast Mariners	2012–13	A-League	26	1	–	7	0	–	33	1

2013–14	26	0	–	5	0	–	31	0

2014–15	20	1	2	0	–	1	0	–	23	1

2015–16	22	0	1	0	–	0	0	–	23	0

2016–17	22	1	1	0	–	0	0	–	23	1

Mariners total	116	3	4	0	–	13	0	–	135	3

Wollongong Wolves	2017	National Premier Leagues NSW	3	1	0	0	0	0	–	3	1

Career total	473	12	28	0	18	2	13	0	4	0	536	14

To fulfill your task, review the table image and pinpoint the positions of the specified cells. Make sure to represent a cell's location using the JSON format {'value': '<cell value>', 'location': (row index, column index)} which begin from '(1, 1)'.
Target cells:
1. '397';
2. 'millwall';
3. 'total';

Some cell values may not be contained in this table. If so, represent their locations as 'DOES NOT EXIST'.

The target cell locations are as follows:
1. {'value': '397', 'location': (15, 14)}
2. {'value': 'millwall', 'location': (16, 1)}
3. {'value': 'total', 'location': (1, 14)}