glade_hero_loadouts (view)

17 rows

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: Hero, Games, Wins, Losses, Pickrate

Hero Loadout Games Wins Losses Winrate Pickrate Winrate_LowerBound_95CI
Quincy BananaFarm, BoomerangMonkey, MortarMonkey 82 61 21 74.39% 2.41% 64.94%
Adora BananaFarm, DartMonkey, SpikeFactory 338 216 122 63.91% 9.94% 58.79%
Churchill BananaFarm, DartMonkey, SpikeFactory 101 66 35 65.35% 2.97% 56.07%
Quincy BananaFarm, DartMonkey, SpikeFactory 37 26 11 70.27% 1.09% 55.54%
Quincy_Cyber BananaFarm, DartMonkey, SpikeFactory 81 53 28 65.43% 2.38% 55.07%
Quincy_Cyber BananaFarm, TackShooter, WizardMonkey 72 47 25 65.28% 2.12% 54.28%
Churchill_Sentai BananaFarm, DartMonkey, SpikeFactory 140 80 60 57.14% 4.12% 48.95%
Churchill_Sentai BananaFarm, MonkeySub, SpikeFactory 30 19 11 63.33% 0.88% 46.09%
Quincy BananaFarm, TackShooter, WizardMonkey 62 34 28 54.84% 1.82% 42.45%
PatFusty_Snowman BananaFarm, DartlingGunner, IceMonkey 34 20 14 58.82% 1.00% 42.28%
Etienne_Bee BananaFarm, BoomerangMonkey, GlueGunner 29 16 13 55.17% 0.85% 37.07%
Etienne_Bee BananaFarm, BoomerangMonkey, SpikeFactory 140 63 77 45.00% 4.12% 36.76%
Ezili BananaFarm, NinjaMonkey, WizardMonkey 46 23 23 50.00% 1.35% 35.55%
Etienne BananaFarm, BoomerangMonkey, SpikeFactory 52 24 28 46.15% 1.53% 32.60%
Obyn BananaFarm, Druid, MonkeySub 56 23 33 41.07% 1.65% 28.19%
Etienne_Bee BananaFarm, BoomerangMonkey, NinjaMonkey 43 18 25 41.86% 1.26% 27.11%
Etienne_Bee BananaFarm, DartMonkey, SpikeFactory 35 15 20 42.86% 1.03% 26.46%

Advanced export

JSON shape: default, array, newline-delimited

CSV options: 

CREATE VIEW glade_hero_loadouts AS 
WITH glade AS
    (SELECT *
    FROM matches
    WHERE map = 'glade')
SELECT Hero,
       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 Hero,
             Loadout,
             Games,
             Wins,
             Losses,
             CAST(Wins AS REAL) / Games AS WR,
             CAST(Games AS REAL) / (
                 (SELECT COUNT(*)
                  FROM glade) * 2)    AS PR
      FROM (SELECT Hero,
                   Loadout,
                   SUM(Wins) + SUM(NOT Wins) AS Games,
                   SUM(Wins)                 AS Wins,
                   SUM(NOT Wins)             AS Losses
            FROM (SELECT lHero                               AS Hero,
                         printf('%s, %s, %s', lt1, lt2, lt3) AS Loadout,
                         playerLeftWin                       AS Wins
                  FROM glade
                  UNION ALL
                  SELECT rHero                               AS Hero,
                         printf('%s, %s, %s', rt1, rt2, rt3) AS Loadout,
                         NOT playerLeftWin                   AS Wins
                  FROM glade)
            GROUP BY Hero,
                     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;