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. |
# | Category | n | W:L | Time | CSR | Kills | Deaths | Assists | KPM | Kills? | Deaths? | Score | Accuracy | Damage Done | Damage Taken |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | CTF 3 Captures | 40 | 50.0% | 445 | 888 | 11.8 | 11.6 | 4.2 | 1.16 | 0.2 | -0.8 | 1,600 | 56% | 3,519 | 3,622 |
2 | CTF 5 Captures | 108 | 39.8% | 765 | 917 | 15.1 | 14.0 | 5.5 | 1.27 | 0.4 | -1.2 | 2,127 | 57% | 4,430 | 4,356 |
3 | Extraction | 7 | 28.6% | 837 | 827 | 14.1 | 12.6 | 5.9 | 1.48 | 2.3 | -1.0 | 2,236 | 65% | 4,332 | 4,360 |
4 | King of the Hill | 115 | 32.2% | 453 | 926 | 14.9 | 12.9 | 7.1 | 1.51 | -0.7 | -2.3 | 2,079 | 55% | 4,150 | 4,073 |
5 | Oddball | 89 | 41.6% | 588 | 920 | 14.8 | 14.5 | 7.2 | 1.30 | -1.1 | -2.0 | 2,347 | 56% | 4,356 | 4,530 |
6 | Slayer | 204 | 49.0% | 64 | 916 | 11.0 | 9.6 | 4.6 | 1.21 | -0.7 | -2.2 | 1,329 | 55% | 3,239 | 3,195 |
7 | Strongholds | 109 | 49.5% | 645 | 912 | 15.7 | 14.1 | 5.7 | 1.37 | 0.1 | -1.4 | 2,468 | 57% | 4,498 | 4,601 |
96.0 | 41.5% | 542.4 | 900.9 | 13.9 | 12.7 | 5.7 | 1.33 | 0.1 | -1.5 | 2,026.7 | 57.4% | 4,075.0 | 4,105.3 |
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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