home / season_27_matches

basalt_columns_towers (view)

21 rows

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: Games, Wins, Pickrate

Tower Games Wins Losses Winrate Pickrate Winrate_LowerBound_95CI
MortarMonkey 180 110 70 61.11% 3.02% 53.99%
BananaFarm 1058 587 471 55.48% 17.74% 52.49%
DartMonkey 367 203 164 55.31% 6.15% 50.23%
SpikeFactory 506 272 234 53.75% 8.48% 49.41%
Alchemist 429 232 197 54.08% 7.19% 49.36%
MonkeyAce 505 270 235 53.47% 8.47% 49.11%
DartlingGunner 442 224 218 50.68% 7.41% 46.02%
IceMonkey 112 61 51 54.46% 1.88% 45.24%
BoomerangMonkey 277 132 145 47.65% 4.64% 41.77%
MonkeySub 230 108 122 46.96% 3.86% 40.51%
SniperMonkey 300 133 167 44.33% 5.03% 38.71%
EngineerMonkey 188 85 103 45.21% 3.15% 38.10%
MonkeyBuccaneer 278 118 160 42.45% 4.66% 36.64%
SuperMonkey 138 61 77 44.20% 2.31% 35.92%
HeliPilot 100 45 55 45.00% 1.68% 35.25%
NinjaMonkey 100 44 56 44.00% 1.68% 34.27%
GlueGunner 189 77 112 40.74% 3.17% 33.74%
WizardMonkey 208 84 124 40.38% 3.49% 33.72%
MonkeyVillage 136 57 79 41.91% 2.28% 33.62%
Druid 100 43 57 43.00% 1.68% 33.30%
TackShooter 88 27 61 30.68% 1.48% 21.05%

Advanced export

JSON shape: default, array, newline-delimited

CSV options:

CREATE VIEW basalt_columns_towers AS 
WITH basalt_columns AS
    (SELECT *
    FROM matches
    WHERE map = 'basalt_columns')
SELECT Tower,
       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 Tower,
             Games,
             Wins,
             Losses,
             CAST(Wins AS REAL) / Games AS WR,
             CAST(Games AS REAL) / (
                 (SELECT COUNT(*)
                  FROM basalt_columns) * 6)    AS PR
      FROM (SELECT Tower,
                   SUM(Win) + SUM(NOT Win) AS Games,
                   SUM(Win)                AS Wins,
                   SUM(NOT Win)            AS Losses
            FROM (SELECT lt1           AS Tower,
                         playerLeftWin AS Win
                  FROM basalt_columns
                  UNION ALL
                  SELECT lt2           AS Tower,
                         playerLeftWin AS Win
                  FROM basalt_columns
                  UNION ALL
                  SELECT lt3           AS Tower,
                         playerLeftWin AS Win
                  FROM basalt_columns
                  UNION ALL
                  SELECT rt1               AS Tower,
                         NOT playerLeftWin AS Win
                  FROM basalt_columns
                  UNION ALL
                  SELECT rt2               AS Tower,
                         NOT playerLeftWin AS Win
                  FROM basalt_columns
                  UNION ALL
                  SELECT rt3               AS Tower,
                         NOT playerLeftWin AS Win
                  FROM basalt_columns)
            GROUP BY Tower))
WHERE Wins >= 10 AND Losses >= 10 AND LENGTH(Winrate_LowerBound_95CI) = 6
ORDER BY Winrate_LowerBound_95CI DESC;
Powered by Datasette · Queries took 1005.109ms