Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

wikt0e vs Kazuya 42–89 32.06%
wikt0e vs Jin 51–69 42.50%
wikt0e vs King 38–62 38.00%
wikt0e vs Eddy 32–52 38.10%
wikt0e vs Hwoarang 36–47 43.37%
wikt0e vs Reina 36–45 44.44%
wikt0e vs Dragunov 31–41 43.06%
wikt0e vs Steve 24–43 35.82%
wikt0e vs Lili 25–37 40.32%
wikt0e vs Paul 28–26 51.85%
wikt0e vs Yoshimitsu 17–30 36.17%
wikt0e vs Bryan 15–31 32.61%
wikt0e vs Law 15–27 35.71%
wikt0e vs Azucena 16–25 39.02%
wikt0e vs Jun 18–22 45.00%
wikt0e vs Asuka 24–14 63.16%
wikt0e vs Nina 15–20 42.86%
wikt0e vs Lars 14–18 43.75%
wikt0e vs Alisa 12–20 37.50%
wikt0e vs Victor 9–23 28.12%
wikt0e vs Xiaoyu 12–14 46.15%
wikt0e vs Devil Jin 5–17 22.73%
wikt0e vs Claudio 12–10 54.55%
wikt0e vs Leroy 7–15 31.82%
wikt0e vs Lidia 7–15 31.82%
wikt0e vs Leo 6–12 33.33%
wikt0e vs Lee 8–10 44.44%
wikt0e vs Jack-8 5–12 29.41%
wikt0e vs Heihachi 9–7 56.25%
wikt0e vs Feng 6–8 42.86%
wikt0e vs Kuma 5–5 50.00%
wikt0e vs Zafina 3–7 30.00%
wikt0e vs Shaheen 6–3 66.67%
wikt0e vs Raven 2–7 22.22%
wikt0e vs Panda 0–6 0.00%
wikt0e vs Clive 0–1 0.00%

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.