times_up_heroes (view)

19 rows

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: Wins

Hero Games Wins Losses Winrate Pickrate Winrate_LowerBound_95CI
StrikerJones 40 30 10 75.00% 1.38% 61.58%
Etienne_Bee 451 263 188 58.31% 15.53% 53.76%
Adora_Fateweaver 157 94 63 59.87% 5.41% 52.21%
Quincy_Cyber 379 208 171 54.88% 13.05% 49.87%
Quincy 433 224 209 51.73% 14.91% 47.03%
PatFusty 80 44 36 55.00% 2.75% 44.10%
PatFusty_Snowman 219 106 113 48.40% 7.54% 41.78%
Etienne 253 120 133 47.43% 8.71% 41.28%
Ezili 139 64 75 46.04% 4.79% 37.76%
Jericho 147 67 80 45.58% 5.06% 37.53%
Gwendolin 110 51 59 46.36% 3.79% 37.04%
Gwendolin_Science 74 35 39 47.30% 2.55% 35.92%
Bonnie 86 30 56 34.88% 2.96% 24.81%
Obyn 60 22 38 36.67% 2.07% 24.47%
Adora 45 17 28 37.78% 1.55% 23.61%
Jericho_Highwayman 52 18 34 34.62% 1.79% 21.68%
Obyn_Ocean 32 12 20 37.50% 1.10% 20.73%
Churchill_Sentai 47 15 32 31.91% 1.62% 18.59%
Jericho_StarCaptain 35 12 23 34.29% 1.21% 18.56%

Advanced export

JSON shape: default, array, newline-delimited

CSV options: 

CREATE VIEW times_up_heroes AS 
WITH times_up AS
    (SELECT *
    FROM matches
    WHERE map = 'times_up')
SELECT Hero,
       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,
             Games,
             Wins,
             Losses,
             CAST(Wins AS REAL) / Games AS WR,
             CAST(Games AS REAL) / (
                 (SELECT COUNT(*)
                  FROM times_up) * 2)    AS PR
      FROM (SELECT Hero,
                   SUM(Win) + SUM(NOT Win) AS Games,
                   SUM(Win)                AS Wins,
                   SUM(NOT Win)            AS Losses
            FROM (SELECT lHero             AS Hero,
                         playerLeftWin     AS Win
                  FROM times_up
                  UNION ALL
                  SELECT rHero             AS Hero,
                         NOT playerLeftWin AS Win
                  FROM times_up)
            GROUP BY Hero))
WHERE Wins >= 10 AND Losses >= 10 AND LENGTH(Winrate_LowerBound_95CI) = 6
ORDER BY Winrate_LowerBound_95CI DESC;