Welcome SpongesWe may not have the skill for kills, but we make up for it by strategically soaking up the enemy's attention and firepower. And while it's hard being a Sponge (irony), it's so much fun to soak up damage together.Tuesday nights are ours! 8.30pm. |
# | #P#K#D#A | Category | n | W:L_%.1 | Time | CSR | Kills_.1 | Deaths_.1 | Assists_.1 | KPM_.2 | Kills?_.1 | Deaths?_.1 | Score_.0 | Accuracy_.0% | Damage Done_.0 | Damage Taken_.0 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | CTF 3 Captures | 40 | 50 | 445 | 888 | 12 | 12 | 4 | 1 | 0 | -1 | 1600 | 56 | 3519 | 3622 | |
2 | CTF 5 Captures | 108 | 40 | 765 | 917 | 15 | 14 | 6 | 1 | 0 | -1 | 2127 | 57 | 4430 | 4356 | |
3 | Extraction | 7 | 29 | 837 | 827 | 14 | 13 | 6 | 1 | 2 | -1 | 2236 | 65 | 4332 | 4360 | |
4 | King of the Hill | 115 | 32 | 453 | 926 | 15 | 13 | 7 | 2 | -1 | -2 | 2079 | 55 | 4150 | 4073 | |
5 | Oddball | 89 | 42 | 588 | 920 | 15 | 15 | 7 | 1 | -1 | -2 | 2347 | 56 | 4356 | 4530 | |
6 | Slayer | 204 | 49 | 64 | 916 | 11 | 10 | 5 | 1 | -1 | -2 | 1329 | 55 | 3239 | 3195 | |
7 | Strongholds | 109 | 50 | 645 | 912 | 16 | 14 | 6 | 1 | 0 | -1 | 2468 | 57 | 4498 | 4601 | |
96.0672 | 41.5291 | 542.43797 | 900.96306 | 13.997 | 12.789 | 5.740 | 1.39 | 0.10 | -1.5-11 | 2026.714187 | 57.4401 | 4075.028525 | 4105.328737 |
!Crash and Burn SQL failure!
Unknown column '_score' in 'field list'
WITH inside AS (SELECT _when, _rnd, _ha, _tm, _op, _vn, _score, _cwd, _tmRung, _opRung, _tmFin, _opFin, _for AS '_for', _agt AS '_agt', (_for) - (_agt) AS '_mgn', IF((_for) - (_agt) > 0, 'W', IF((_for) - (_agt) = 0, 'D', 'L')) AS '_WL', ROW_NUMBER() OVER (PARTITION BY _tm ORDER BY _when DESC) as '_game', DATEDIFF(_when, LAG(_when, 1) OVER (PARTITION BY _tm ORDER BY _when)) AS '_tmDays', DATEDIFF(_when, LAG(_when, 1) OVER (PARTITION BY _op ORDER BY _when)) AS '_opDays', LAG(_vn, 1) OVER (PARTITION BY _tm ORDER BY _when) AS '_pre' FROM haven WHERE YEAR(_when) BETWEEN 2010 AND 2023), middle AS (SELECT *, ROW_NUMBER() OVER (PARTITION BY _tm ORDER BY _when DESC) as '_rank' FROM inside WHERE _tm IN ('Blu','Bom','Bul','Cat','Cro','Dem','Doc','Eag','Gia','Haw','Kan','Pow','Sai','Sun','Swa','Tig') AND _op IN ('Mag','Lio')) SELECT GROUP_CONCAT(CONCAT_WS(' ', YEAR(_when), _RND(_rnd), _tm, _op, CONCAT(_HA, '@', _vn), _WL, ABS(_mgn)) ORDER BY _when DESC LIMIT 50) AS _data, _tm AS 'Team', count(*) AS 'P', SUM(CASE WHEN _for > _agt THEN 1 ELSE 0 END) AS 'W', SUM(CASE WHEN _for < _agt THEN 1 ELSE 0 END) AS 'L', SUM(CASE WHEN _for = _agt THEN 1 ELSE 0 END) AS 'D', FORMAT(SUM(_for), 0) as 'For', FORMAT(SUM(_agt), 0) as 'Agt', SUM(CASE WHEN _for > _agt THEN 4 WHEN _for = _agt THEN 2 ELSE 0 END) AS 'Pts', ROUND(100 * SUM(_for) / SUM(_agt), 2) AS '%' FROM middle WHERE _rank <= 5 GROUP BY _tm ORDER BY 10 * SUM(IF(_for > _agt, 4, IF(_for = _agt, 2, 0))) + (_for / _agt) DESC