Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

different vs Jin 48–53 47.52%
different vs Kazuya 42–41 50.60%
different vs Law 35–41 46.05%
different vs King 30–29 50.85%
different vs Dragunov 29–21 58.00%
different vs Hwoarang 19–23 45.24%
different vs Bryan 21–19 52.50%
different vs Heihachi 11–16 40.74%
different vs Steve 14–10 58.33%
different vs Lili 12–11 52.17%
different vs Azucena 11–9 55.00%
different vs Devil Jin 9–10 47.37%
different vs Lee 7–10 41.18%
different vs Clive 8–7 53.33%
different vs Jun 6–8 42.86%
different vs Reina 4–9 30.77%
different vs Xiaoyu 8–4 66.67%
different vs Eddy 5–7 41.67%
different vs Yoshimitsu 4–7 36.36%
different vs Victor 7–4 63.64%
different vs Paul 2–7 22.22%
different vs Claudio 6–3 66.67%
different vs Raven 3–6 33.33%
different vs Alisa 4–4 50.00%
different vs Shaheen 3–5 37.50%
different vs Armor King 5–3 62.50%
different vs Asuka 3–4 42.86%
different vs Feng 1–5 16.67%
different vs Lars 1–5 16.67%
different vs Kuma 2–4 33.33%
different vs Panda 2–4 33.33%
different vs Leroy 5–1 83.33%
different vs Jack-8 1–4 20.00%
different vs Nina 2–1 66.67%
different vs Fahkumram 1–2 33.33%
different vs Lidia 0–2 0.00%
different vs Leo 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.