Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
激昂のSyoω<)/"

Ratings

激昂のSyoω<)/" vs Reina 373–350 51.59%
激昂のSyoω<)/" vs Kazuya 229–301 43.21%
激昂のSyoω<)/" vs Dragunov 225–303 42.61%
激昂のSyoω<)/" vs Asuka 241–251 48.98%
激昂のSyoω<)/" vs King 225–262 46.20%
激昂のSyoω<)/" vs Lili 189–259–1 42.19%
激昂のSyoω<)/" vs Bryan 176–255 40.84%
激昂のSyoω<)/" vs Paul 176–242 42.11%
激昂のSyoω<)/" vs Jin 184–227–1 44.77%
激昂のSyoω<)/" vs Heihachi 186–193 49.08%
激昂のSyoω<)/" vs Jun 126–182 40.91%
激昂のSyoω<)/" vs Yoshimitsu 119–153 43.75%
激昂のSyoω<)/" vs Hwoarang 107–164 39.48%
激昂のSyoω<)/" vs Steve 129–138 48.31%
激昂のSyoω<)/" vs Victor 108–124–1 46.55%
激昂のSyoω<)/" vs Law 100–128 43.86%
激昂のSyoω<)/" vs Azucena 110–108 50.46%
激昂のSyoω<)/" vs Xiaoyu 92–121 43.19%
激昂のSyoω<)/" vs Alisa 80–132 37.74%
激昂のSyoω<)/" vs Lidia 109–102 51.66%
激昂のSyoω<)/" vs Claudio 75–121 38.27%
激昂のSyoω<)/" vs Devil Jin 92–102 47.42%
激昂のSyoω<)/" vs Lars 83–110–1 43.01%
激昂のSyoω<)/" vs Feng 80–113 41.45%
激昂のSyoω<)/" vs Nina 80–108 42.55%
激昂のSyoω<)/" vs Leo 70–103 40.46%
激昂のSyoω<)/" vs Eddy 60–102–1 37.04%
激昂のSyoω<)/" vs Jack-8 65–95 40.62%
激昂のSyoω<)/" vs Lee 72–84 46.15%
激昂のSyoω<)/" vs Leroy 53–83 38.97%
激昂のSyoω<)/" vs Shaheen 59–60 49.58%
激昂のSyoω<)/" vs Zafina 59–60 49.58%
激昂のSyoω<)/" vs Kuma 41–66 38.32%
激昂のSyoω<)/" vs Clive 45–53 45.92%
激昂のSyoω<)/" vs Raven 36–51–1 41.38%
激昂のSyoω<)/" vs Panda 20–35 36.36%
激昂のSyoω<)/" vs Anna 27–28 49.09%
激昂のSyoω<)/" vs Fahkumram 19–32 37.25%
激昂のSyoω<)/" vs Armor King 17–24 41.46%
激昂のSyoω<)/" vs Miary Zo 5–8 38.46%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.