Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

win99 vs Reina 41–54 43.16%
win99 vs Lili 35–48 42.17%
win99 vs Kazuya 34–48 41.46%
win99 vs Dragunov 27–50 35.06%
win99 vs Paul 31–41 43.06%
win99 vs Hwoarang 25–42 37.31%
win99 vs King 19–44 30.16%
win99 vs Jin 20–36 35.71%
win99 vs Law 19–35 35.19%
win99 vs Asuka 17–35 32.69%
win99 vs Claudio 11–36 23.40%
win99 vs Yoshimitsu 17–29 36.96%
win99 vs Devil Jin 15–28 34.88%
win99 vs Bryan 13–29 30.95%
win99 vs Azucena 11–30 26.83%
win99 vs Eddy 23–18 56.10%
win99 vs Steve 19–20 48.72%
win99 vs Jun 11–28 28.21%
win99 vs Victor 8–29 21.62%
win99 vs Lars 9–26 25.71%
win99 vs Feng 12–19 38.71%
win99 vs Xiaoyu 7–18 28.00%
win99 vs Nina 6–14 30.00%
win99 vs Lee 5–12 29.41%
win99 vs Kuma 3–14 17.65%
win99 vs Leo 2–14 12.50%
win99 vs Alisa 7–9 43.75%
win99 vs Panda 4–12 25.00%
win99 vs Leroy 3–12 20.00%
win99 vs Lidia 7–8 46.67%
win99 vs Zafina 6–8 42.86%
win99 vs Raven 3–7 30.00%
win99 vs Jack-8 2–5 28.57%
win99 vs Shaheen 1–6 14.29%

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.