Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Boom vs Jin 37–70 34.58%
Boom vs King 44–51 46.32%
Boom vs Hwoarang 34–49 40.96%
Boom vs Kazuya 41–40 50.62%
Boom vs Eddy 28–47 37.33%
Boom vs Steve 24–40 37.50%
Boom vs Law 17–34 33.33%
Boom vs Bryan 18–32 36.00%
Boom vs Reina 19–27 41.30%
Boom vs Lili 21–19 52.50%
Boom vs Dragunov 16–24 40.00%
Boom vs Yoshimitsu 17–22 43.59%
Boom vs Victor 19–18 51.35%
Boom vs Paul 9–25 26.47%
Boom vs Jun 15–19 44.12%
Boom vs Asuka 17–15 53.12%
Boom vs Lars 13–19 40.62%
Boom vs Nina 15–17 46.88%
Boom vs Azucena 15–14 51.72%
Boom vs Devil Jin 8–16 33.33%
Boom vs Xiaoyu 12–9 57.14%
Boom vs Lee 9–12 42.86%
Boom vs Claudio 4–15 21.05%
Boom vs Jack-8 6–12 33.33%
Boom vs Alisa 4–14 22.22%
Boom vs Leroy 11–6 64.71%
Boom vs Feng 5–10 33.33%
Boom vs Shaheen 8–7 53.33%
Boom vs Leo 6–4 60.00%
Boom vs Kuma 1–7 12.50%
Boom vs Raven 4–3 57.14%
Boom vs Zafina 2–4 33.33%
Boom vs Lidia 1–4 20.00%
Boom vs Panda 2–1 66.67%

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.