🌐 Language English Español Português Français Deutsch Русский 한국어 日本語 中文 العربية Polski Türkçe Italiano Nederlands Українська Svenska Norsk Dansk Suomi Čeština Slovenčina Magyar Română Български Ελληνικά Hrvatski Српски Slovenščina Bosanski Македонски Shqip Eesti Latviešu Lietuvių Íslenska فارسی עברית हिन्दी বাংলা اردو ไทย Tiếng Việt Indonesia Melayu Filipino မြန်မာ ខ្មែរ ລາວ नेपाली සිංහල ქართული Հայերեն Azərbaycan Қазақ O‘zbek Монгол Kiswahili Afrikaans አማርኛ Hausa Malti Português (PT) Checking updates
© 2026 Solstice Labs LLC Not affiliated with Omeda Studios. Data from omeda.city.
Pan con queso — Player Profile | PredBuilds
Pan con queso is a developing Predecessor player with a 38.5% win rate across 52 games specializing in Bayle carry. Average KDA: 3.8/6.1/11.0. Browse their full match history, hero breakdown, and builds below.
Pan con queso carry Last active: 10h ago
All (52) Ranked (0) All Other (52)
7 Days (9) 30 Days (52) 90 Days (52) 1 Year (52) All Time (56) Stats for selected period
VP History Victory Points over time
VP progression · Ranked matches only
Win Rate (30 Days)
38.5%
20W 32L
Avg Gold (30 Days)
19,375
Better than 95.1%
Avg KDA (30 Days)
3.8/6.1/11.0 (2.4 KDA)
Better than 61.8%
Avg Damage (30 Days)
65,916
Better than 8.3%
AVG KDA Rank (30 Days)
#6.0 of 10
Better than 29.5%
Avg Objectives (30 Days)
0.1
Better than 1.5%
Insight
💡 Watch Your Deaths
6.1 deaths/game. Try to position more carefully in teamfights. Your damage output matters most when you're alive.
Bayle Carry Build Most used build across 4 recent games
Hero Breakdown (30 Days) Hero Role Games Win Rate Avg KDA Shinbicarry 2 50.0% 4.0 / 4.0 / 10.5 (3.6 KDA) Greystonesupport 2 50.0% 4.0 / 5.5 / 9.5 (2.5 KDA) Narbashcarry 1 100.0% 3.0 / 4.0 / 28.0 (7.8 KDA) TwinBlastmidlane 1 0.0% 3.0 / 6.0 / 7.0 (1.7 KDA) Skylarjungle 1 0.0% 4.0 / 5.0 / 5.0 (1.8 KDA)
carry 2 games 4.0/4.0/10.5 (3.6 KDA)
support 2 games 4.0/5.5/9.5 (2.5 KDA)
carry 1 games 3.0/4.0/28.0 (7.8 KDA)
midlane 1 games 3.0/6.0/7.0 (1.7 KDA)
jungle 1 games 4.0/5.0/5.0 (1.8 KDA)
Show All (50)