Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

monster vs Clive 25–36 40.98%
monster vs Reina 28–24 53.85%
monster vs Jin 7–30 18.92%
monster vs Dragunov 10–25 28.57%
monster vs Steve 14–20 41.18%
monster vs Law 4–28 12.50%
monster vs Kazuya 10–21 32.26%
monster vs Lili 11–19 36.67%
monster vs Heihachi 9–19 32.14%
monster vs King 14–12 53.85%
monster vs Bryan 8–15 34.78%
monster vs Jun 8–14 36.36%
monster vs Yoshimitsu 7–12 36.84%
monster vs Victor 10–9 52.63%
monster vs Hwoarang 6–12 33.33%
monster vs Xiaoyu 7–9 43.75%
monster vs Claudio 6–10 37.50%
monster vs Nina 7–8 46.67%
monster vs Lidia 7–8 46.67%
monster vs Eddy 4–10 28.57%
monster vs Paul 3–10 23.08%
monster vs Lars 5–8 38.46%
monster vs Lee 4–9 30.77%
monster vs Azucena 1–12 7.69%
monster vs Asuka 1–10 9.09%
monster vs Alisa 3–8 27.27%
monster vs Jack-8 1–8 11.11%
monster vs Leroy 1–7 12.50%
monster vs Devil Jin 0–7 0.00%
monster vs Feng 2–5 28.57%
monster vs Raven 0–6 0.00%
monster vs Leo 1–3 25.00%
monster vs Shaheen 2–2 50.00%
monster vs Kuma 0–2 0.00%
monster vs Panda 0–2 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.