basalt_columns_hero_loadouts (view)

16 rows

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: Hero, Loadout, Games, Wins, Losses, Winrate, Pickrate, Winrate_LowerBound_95CI

Hero Loadout Games Wins Losses Winrate Pickrate Winrate_LowerBound_95CI
Quincy BananaFarm, BoomerangMonkey, MortarMonkey 62 48 14 77.42% 2.48% 67.01%
Quincy_Cyber BananaFarm, DartMonkey, SpikeFactory 99 66 33 66.67% 3.97% 57.38%
Etienne Alchemist, BananaFarm, MonkeyAce 60 38 22 63.33% 2.40% 51.14%
Quincy_Cyber BananaFarm, MonkeySub, SpikeFactory 145 85 60 58.62% 5.81% 50.60%
Adora BananaFarm, DartMonkey, SpikeFactory 85 51 34 60.00% 3.41% 49.59%
Benjamin DartlingGunner, MonkeyVillage, SuperMonkey 28 18 10 64.29% 1.12% 46.54%
Etienne_Bee BananaFarm, MonkeyAce, MonkeySub 46 27 19 58.70% 1.84% 44.47%
Obyn BananaFarm, Druid, MonkeySub 47 26 21 55.32% 1.88% 41.11%
Adora BananaFarm, DartMonkey, MortarMonkey 38 20 18 52.63% 1.52% 36.76%
Bonnie Alchemist, DartlingGunner, SpikeFactory 25 14 11 56.00% 1.00% 36.54%
Quincy BananaFarm, MonkeySub, SpikeFactory 25 14 11 56.00% 1.00% 36.54%
Quincy_Cyber BananaFarm, DartMonkey, MortarMonkey 20 10 10 50.00% 0.80% 28.09%
Quincy_Cyber BananaFarm, MonkeyAce, MonkeySub 26 12 14 46.15% 1.04% 26.99%
Jericho Alchemist, BananaFarm, DartlingGunner 22 10 12 45.45% 0.88% 24.65%
Jericho BananaFarm, EngineerMonkey, MonkeyAce 38 14 24 36.84% 1.52% 21.50%
Quincy_Cyber Alchemist, BananaFarm, DartlingGunner 29 10 19 34.48% 1.16% 17.18%

Advanced export

JSON shape: default, array, newline-delimited

CSV options: 

CREATE VIEW basalt_columns_hero_loadouts AS 
WITH basalt_columns AS
    (SELECT *
    FROM matches
    WHERE map = 'basalt_columns')
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 basalt_columns) * 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 basalt_columns
                  UNION ALL
                  SELECT rHero                               AS Hero,
                         printf('%s, %s, %s', rt1, rt2, rt3) AS Loadout,
                         NOT playerLeftWin                   AS Wins
                  FROM basalt_columns)
            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;