Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

apple vs King 38–28 57.58%
apple vs Kazuya 26–30 46.43%
apple vs Paul 14–38 26.92%
apple vs Hwoarang 21–22 48.84%
apple vs Victor 19–24 44.19%
apple vs Yoshimitsu 18–24 42.86%
apple vs Jin 20–21 48.78%
apple vs Law 21–18 53.85%
apple vs Lili 22–13 62.86%
apple vs Reina 16–17 48.48%
apple vs Bryan 10–19 34.48%
apple vs Asuka 17–12 58.62%
apple vs Jun 18–11 62.07%
apple vs Dragunov 10–16 38.46%
apple vs Azucena 8–16 33.33%
apple vs Leroy 0–23 0.00%
apple vs Nina 13–8 61.90%
apple vs Steve 11–8 57.89%
apple vs Devil Jin 9–10 47.37%
apple vs Claudio 12–7 63.16%
apple vs Alisa 5–13 27.78%
apple vs Jack-8 5–11 31.25%
apple vs Kuma 5–11 31.25%
apple vs Lars 4–11 26.67%
apple vs Feng 5–9 35.71%
apple vs Eddy 6–8 42.86%
apple vs Xiaoyu 8–5 61.54%
apple vs Leo 5–8 38.46%
apple vs Shaheen 2–9 18.18%
apple vs Zafina 3–6 33.33%
apple vs Heihachi 2–6 25.00%
apple vs Raven 2–3 40.00%
apple vs Lee 1–2 33.33%
apple vs Lidia 1–2 33.33%
apple vs Panda 2–0 100.00%
apple vs Clive 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.