Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

cool vs Jin 37–40 48.05%
cool vs Kazuya 49–28 63.64%
cool vs Bryan 40–23 63.49%
cool vs King 38–18 67.86%
cool vs Dragunov 31–18 63.27%
cool vs Law 28–12 70.00%
cool vs Eddy 30–10 75.00%
cool vs Paul 29–10 74.36%
cool vs Heihachi 26–11 70.27%
cool vs Hwoarang 20–14 58.82%
cool vs Yoshimitsu 16–12 57.14%
cool vs Steve 13–15 46.43%
cool vs Devil Jin 15–13 53.57%
cool vs Reina 13–8 61.90%
cool vs Feng 10–10 50.00%
cool vs Lee 14–5 73.68%
cool vs Alisa 13–4 76.47%
cool vs Jun 11–6 64.71%
cool vs Azucena 9–7 56.25%
cool vs Lili 10–5 66.67%
cool vs Leroy 8–7 53.33%
cool vs Asuka 8–6 57.14%
cool vs Leo 7–5 58.33%
cool vs Clive 12–0 100.00%
cool vs Lidia 5–6 45.45%
cool vs Jack-8 5–4 55.56%
cool vs Victor 6–3 66.67%
cool vs Lars 4–4 50.00%
cool vs Claudio 5–3 62.50%
cool vs Xiaoyu 2–5 28.57%
cool vs Nina 5–1 83.33%
cool vs Zafina 6–0 100.00%
cool vs Shaheen 3–1 75.00%
cool vs Panda 2–1 66.67%

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.