Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

neon
oyster
Neon
pinkman
masako
blue
waribashi
kinmokusei
Panjabi
Nicolas
babydriver
Daniel
だにえる
DANIEL
Jack
Motosuwa
NicoLas
NE0N
のだめアンター誰?
kanechi.
gozLing
kanechi
kaneち
onlygodforgives
drive
Lara
tekken4
neon vs King 100–103 49.26%
neon vs Hwoarang 75–102 42.37%
neon vs Dragunov 87–87–1 50.00%
neon vs Paul 68–103 39.77%
neon vs Kazuya 90–81 52.63%
neon vs Bryan 84–83 50.30%
neon vs Jin 78–85 47.85%
neon vs Reina 97–65 59.88%
neon vs Asuka 85–68 55.56%
neon vs Lili 65–67 49.24%
neon vs Yoshimitsu 71–60 54.20%
neon vs Xiaoyu 54–64 45.76%
neon vs Heihachi 54–62 46.55%
neon vs Jun 52–62 45.61%
neon vs Lidia 55–57 49.11%
neon vs Alisa 42–69 37.84%
neon vs Victor 48–49 49.48%
neon vs Leo 56–39 58.95%
neon vs Feng 35–46 43.21%
neon vs Steve 42–33 56.00%
neon vs Lee 35–38 47.95%
neon vs Law 32–40 44.44%
neon vs Nina 28–44 38.89%
neon vs Jack-8 33–35 48.53%
neon vs Clive 25–38 39.68%
neon vs Leroy 26–36 41.94%
neon vs Claudio 27–34 44.26%
neon vs Devil Jin 28–32 46.67%
neon vs Azucena 25–30 45.45%
neon vs Lars 32–21 60.38%
neon vs Eddy 23–30 43.40%
neon vs Shaheen 27–20 57.45%
neon vs Kuma 14–23 37.84%
neon vs Raven 20–14 58.82%
neon vs Zafina 13–11 54.17%
neon vs Panda 8–12 40.00%

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.