Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Boom
veywe
Boom vs Jin 43–64 40.19%
Boom vs Kazuya 31–54 36.47%
Boom vs King 26–50 34.21%
Boom vs Law 30–45 40.00%
Boom vs Hwoarang 24–37 39.34%
Boom vs Reina 24–34 41.38%
Boom vs Steve 13–39 25.00%
Boom vs Lidia 15–34 30.61%
Boom vs Jun 16–31 34.04%
Boom vs Dragunov 20–24 45.45%
Boom vs Eddy 13–28 31.71%
Boom vs Yoshimitsu 11–27 28.95%
Boom vs Paul 17–20 45.95%
Boom vs Claudio 10–26 27.78%
Boom vs Lili 11–24 31.43%
Boom vs Azucena 14–20 41.18%
Boom vs Asuka 8–20 28.57%
Boom vs Nina 10–17 37.04%
Boom vs Bryan 12–14 46.15%
Boom vs Lars 8–16 33.33%
Boom vs Victor 13–11 54.17%
Boom vs Leo 8–15 34.78%
Boom vs Lee 11–9 55.00%
Boom vs Alisa 6–12 33.33%
Boom vs Xiaoyu 7–7 50.00%
Boom vs Zafina 8–6 57.14%
Boom vs Devil Jin 4–9 30.77%
Boom vs Shaheen 6–7 46.15%
Boom vs Leroy 3–8 27.27%
Boom vs Jack-8 4–5 44.44%
Boom vs Feng 4–3 57.14%
Boom vs Panda 2–4 33.33%
Boom vs Raven 2–2 50.00%
Boom vs Kuma 1–1 50.00%

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.