Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

innit vs Kazuya 54–68 44.26%
innit vs Jin 47–50 48.45%
innit vs King 28–57 32.94%
innit vs Dragunov 39–27 59.09%
innit vs Bryan 24–40 37.50%
innit vs Reina 29–27 51.79%
innit vs Law 22–32 40.74%
innit vs Steve 22–25 46.81%
innit vs Hwoarang 25–21 54.35%
innit vs Asuka 17–24 41.46%
innit vs Yoshimitsu 16–22 42.11%
innit vs Lili 21–14 60.00%
innit vs Paul 13–21 38.24%
innit vs Devil Jin 11–20 35.48%
innit vs Feng 6–25 19.35%
innit vs Azucena 13–16 44.83%
innit vs Jack-8 11–15 42.31%
innit vs Victor 10–15 40.00%
innit vs Eddy 5–17 22.73%
innit vs Lars 13–7 65.00%
innit vs Nina 7–12 36.84%
innit vs Alisa 6–12 33.33%
innit vs Leo 7–9 43.75%
innit vs Claudio 6–10 37.50%
innit vs Kuma 6–9 40.00%
innit vs Lee 8–6 57.14%
innit vs Leroy 2–9 18.18%
innit vs Xiaoyu 4–5 44.44%
innit vs Shaheen 3–6 33.33%
innit vs Jun 4–4 50.00%
innit vs Zafina 2–2 50.00%
innit vs Raven 1–0 100.00%

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.