splashdown_loadouts (view)
5 rows
This data as json, CSV (advanced)
Suggested facets: Losses
Loadout | Games | Wins | Losses | Winrate | Pickrate | WinRate_LowerBound_95CI |
---|---|---|---|---|---|---|
Alchemist, MonkeyBuccaneer, SpikeFactory | 76 | 44 | 32 | 57.89% | 7.69% | 46.79% |
HeliPilot, IceMonkey, MonkeyVillage | 27 | 17 | 10 | 62.96% | 2.73% | 44.75% |
BananaFarm, IceMonkey, MonkeySub | 65 | 36 | 29 | 55.38% | 6.58% | 43.30% |
BananaFarm, DartMonkey, SpikeFactory | 26 | 15 | 11 | 57.69% | 2.63% | 38.70% |
BananaFarm, TackShooter, WizardMonkey | 20 | 10 | 10 | 50.00% | 2.02% | 28.09% |
Advanced export
JSON shape: default, array, newline-delimited
CREATE VIEW splashdown_loadouts AS WITH splashdown AS (SELECT * FROM matches WHERE map = 'splashdown') SELECT Loadout, Games, Wins, Losses, printf('%.2f%%', WR * 100) AS Winrate, printf('%.2f%%', PR * 100) AS Pickrate, printf('%.2f%%', (WR - 1.96 * SQRT((WR * (1 - WR)) / Games)) * 100) AS WinRate_LowerBound_95CI FROM (SELECT Loadout, Games, Wins, Losses, CAST(Wins AS REAL) / Games AS WR, CAST(Games AS REAL) / ( (SELECT COUNT(*) FROM splashdown) * 2) AS PR FROM (SELECT Loadout, SUM(Win) + SUM(NOT Win) AS Games, SUM(Win) AS Wins, SUM(NOT Win) AS Losses FROM (SELECT printf('%s, %s, %s', lt1, lt2, lt3) AS Loadout, playerLeftWin AS Win FROM splashdown UNION ALL SELECT printf('%s, %s, %s', rt1, rt2, rt3) AS Loadout, NOT playerLeftWin AS Win FROM splashdown) GROUP BY Loadout) WHERE Wins >= 10 AND Losses >= 10) WHERE Wins >= 10 AND Losses >= 10 AND LENGTH(WinRate_LowerBound_95CI) = 6 ORDER BY WinRate_LowerBound_95CI DESC;