ports_hero_loadouts (view)
6 rows
This data as json, CSV (advanced)
Suggested facets: Hero, Loadout, Games, Wins, Pickrate
Hero | Loadout | Games | Wins | Losses | Winrate | Pickrate | Winrate_LowerBound_95CI |
---|---|---|---|---|---|---|---|
Jericho | Alchemist, MonkeyAce, MonkeySub | 156 | 111 | 45 | 71.15% | 7.52% | 64.04% |
Jericho | BananaFarm, MonkeyAce, MonkeySub | 43 | 29 | 14 | 67.44% | 2.07% | 53.44% |
Bonnie | Alchemist, MonkeyAce, MonkeySub | 52 | 34 | 18 | 65.38% | 2.51% | 52.45% |
Etienne | Alchemist, BananaFarm, MonkeyAce | 250 | 143 | 107 | 57.20% | 12.05% | 51.07% |
Etienne | Alchemist, MonkeyAce, MonkeySub | 43 | 28 | 15 | 65.12% | 2.07% | 50.87% |
Etienne | Alchemist, MonkeyAce, SpikeFactory | 53 | 28 | 25 | 52.83% | 2.56% | 39.39% |
Advanced export
JSON shape: default, array, newline-delimited
CREATE VIEW ports_hero_loadouts AS WITH ports AS (SELECT * FROM matches WHERE map = 'ports') 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 ports) * 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 ports UNION ALL SELECT rHero AS Hero, printf('%s, %s, %s', rt1, rt2, rt3) AS Loadout, NOT playerLeftWin AS Wins FROM ports) 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;