home / season_31_matches

sands_of_time_loadouts (view)

43 rows

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: Losses

Loadout Games Wins Losses Winrate Pickrate WinRate_LowerBound_95CI
BananaFarm, DartlingGunner, IceMonkey 171 113 58 66.08% 2.79% 58.99%
DartlingGunner, Druid, SpikeFactory 42 29 13 69.05% 0.69% 55.07%
BananaFarm, Druid, MonkeySub 418 249 169 59.57% 6.83% 54.86%
BananaFarm, BoomerangMonkey, SniperMonkey 47 32 15 68.09% 0.77% 54.76%
BananaFarm, TackShooter, WizardMonkey 377 223 154 59.15% 6.16% 54.19%
BananaFarm, EngineerMonkey, MonkeyAce 146 89 57 60.96% 2.39% 53.05%
BananaFarm, DartlingGunner, NinjaMonkey 100 61 39 61.00% 1.63% 51.44%
DartlingGunner, IceMonkey, NinjaMonkey 28 18 10 64.29% 0.46% 46.54%
BananaFarm, EngineerMonkey, WizardMonkey 80 45 35 56.25% 1.31% 45.38%
BananaFarm, NinjaMonkey, WizardMonkey 91 50 41 54.95% 1.49% 44.72%
DartlingGunner, IceMonkey, MonkeyVillage 46 27 19 58.70% 0.75% 44.47%
BananaFarm, BoomerangMonkey, NinjaMonkey 126 65 61 51.59% 2.06% 42.86%
DartlingGunner, MonkeyVillage, SuperMonkey 249 122 127 49.00% 4.07% 42.79%
BananaFarm, MonkeySub, WizardMonkey 28 17 11 60.71% 0.46% 42.62%
BananaFarm, BoomerangMonkey, SpikeFactory 40 23 17 57.50% 0.65% 42.18%
HeliPilot, IceMonkey, SuperMonkey 27 16 11 59.26% 0.44% 40.73%
BananaFarm, BombShooter, WizardMonkey 50 27 23 54.00% 0.82% 40.19%
BananaFarm, IceMonkey, MonkeySub 215 98 117 45.58% 3.51% 38.92%
BoomerangMonkey, SniperMonkey, SuperMonkey 26 15 11 57.69% 0.42% 38.70%
SniperMonkey, SpikeFactory, TackShooter 26 15 11 57.69% 0.42% 38.70%
BananaFarm, BombShooter, MonkeySub 65 33 32 50.77% 1.06% 38.62%
BananaFarm, HeliPilot, IceMonkey 43 23 20 53.49% 0.70% 38.58%
BananaFarm, BoomerangMonkey, WizardMonkey 61 31 30 50.82% 1.00% 38.27%
BananaFarm, DartlingGunner, WizardMonkey 29 16 13 55.17% 0.47% 37.07%
HeliPilot, IceMonkey, MonkeyVillage 111 50 61 45.05% 1.81% 35.79%
GlueGunner, HeliPilot, MonkeyVillage 39 20 19 51.28% 0.64% 35.59%
DartlingGunner, Druid, MonkeyVillage 33 17 16 51.52% 0.54% 34.46%
Alchemist, MonkeyBuccaneer, SpikeFactory 43 21 22 48.84% 0.70% 33.90%
BananaFarm, SniperMonkey, TackShooter 46 22 24 47.83% 0.75% 33.39%
BananaFarm, SniperMonkey, WizardMonkey 86 37 49 43.02% 1.41% 32.56%
Alchemist, GlueGunner, NinjaMonkey 23 12 11 52.17% 0.38% 31.76%
BananaFarm, BoomerangMonkey, MonkeySub 34 16 18 47.06% 0.56% 30.28%
BananaFarm, DartlingGunner, SuperMonkey 73 30 43 41.10% 1.19% 29.81%
EngineerMonkey, MonkeyVillage, SpikeFactory 33 15 18 45.45% 0.54% 28.47%
EngineerMonkey, TackShooter, WizardMonkey 33 15 18 45.45% 0.54% 28.47%
GlueGunner, MonkeyVillage, TackShooter 92 35 57 38.04% 1.50% 28.12%
BoomerangMonkey, SniperMonkey, WizardMonkey 20 10 10 50.00% 0.33% 28.09%
DartMonkey, MonkeyVillage, SuperMonkey 23 11 12 47.83% 0.38% 27.41%
Druid, MonkeySub, SpikeFactory 26 12 14 46.15% 0.42% 26.99%
MonkeySub, MonkeyVillage, SuperMonkey 48 19 29 39.58% 0.78% 25.75%
DartMonkey, SniperMonkey, SpikeFactory 30 13 17 43.33% 0.49% 25.60%
BananaFarm, EngineerMonkey, SuperMonkey 33 14 19 42.42% 0.54% 25.56%
BananaFarm, IceMonkey, NinjaMonkey 26 11 15 42.31% 0.42% 23.32%

Advanced export

JSON shape: default, array, newline-delimited

CSV options:

CREATE VIEW sands_of_time_loadouts AS 
WITH sands_of_time AS
    (SELECT *
    FROM matches
    WHERE map = 'sands_of_time')
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 sands_of_time) * 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 sands_of_time
                  UNION ALL
                  SELECT printf('%s, %s, %s', rt1, rt2, rt3) AS Loadout,
                         NOT playerLeftWin                   AS Win
                  FROM sands_of_time)
            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;
Powered by Datasette · Queries took 3122.482ms