Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

....
めー..
Yuna
Bimu
BO٠٠٠
RED light
PETA
.... vs Kazuya 66–51 56.41%
.... vs King 59–32 64.84%
.... vs Jin 39–33 54.17%
.... vs Bryan 33–23 58.93%
.... vs Devil Jin 29–25 53.70%
.... vs Law 30–21 58.82%
.... vs Dragunov 28–23 54.90%
.... vs Hwoarang 21–22 48.84%
.... vs Yoshimitsu 23–18 56.10%
.... vs Lee 24–15 61.54%
.... vs Reina 26–8 76.47%
.... vs Paul 20–13 60.61%
.... vs Nina 18–15 54.55%
.... vs Steve 17–14 54.84%
.... vs Feng 16–15 51.61%
.... vs Lili 17–11 60.71%
.... vs Victor 19–9 67.86%
.... vs Asuka 9–16 36.00%
.... vs Eddy 18–4 81.82%
.... vs Lars 9–10 47.37%
.... vs Azucena 11–6 64.71%
.... vs Xiaoyu 6–10 37.50%
.... vs Lidia 8–8 50.00%
.... vs Jack-8 8–7 53.33%
.... vs Claudio 3–11 21.43%
.... vs Jun 12–2 85.71%
.... vs Zafina 1–9 10.00%
.... vs Alisa 7–2 77.78%
.... vs Shaheen 5–4 55.56%
.... vs Heihachi 4–2 66.67%
.... vs Leo 3–2 60.00%
.... vs Raven 3–2 60.00%
.... vs Kuma 3–1 75.00%
.... vs Leroy 2–2 50.00%
.... vs Panda 0–2 0.00%

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.