Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

‎‎‎‎
TEKKEN PLAYER
32NM-QfYb-36F8
TEKKEN PLAYER
IM SHIET SO R U
‎‎‎‎ vs Jin 36–41 46.75%
‎‎‎‎ vs Kazuya 43–31 58.11%
‎‎‎‎ vs Steve 28–25 52.83%
‎‎‎‎ vs Dragunov 23–19 54.76%
‎‎‎‎ vs Bryan 25–15 62.50%
‎‎‎‎ vs Clive 13–27 32.50%
‎‎‎‎ vs Reina 17–22 43.59%
‎‎‎‎ vs Law 18–19 48.65%
‎‎‎‎ vs King 15–21 41.67%
‎‎‎‎ vs Lili 9–20 31.03%
‎‎‎‎ vs Lee 15–14 51.72%
‎‎‎‎ vs Paul 8–20 28.57%
‎‎‎‎ vs Asuka 15–13 53.57%
‎‎‎‎ vs Hwoarang 12–13 48.00%
‎‎‎‎ vs Jun 9–15 37.50%
‎‎‎‎ vs Heihachi 13–10 56.52%
‎‎‎‎ vs Jack-8 9–13 40.91%
‎‎‎‎ vs Victor 7–15 31.82%
‎‎‎‎ vs Devil Jin 7–13 35.00%
‎‎‎‎ vs Lars 8–11 42.11%
‎‎‎‎ vs Alisa 9–10 47.37%
‎‎‎‎ vs Azucena 10–9 52.63%
‎‎‎‎ vs Yoshimitsu 7–11 38.89%
‎‎‎‎ vs Eddy 5–10 33.33%
‎‎‎‎ vs Feng 6–8 42.86%
‎‎‎‎ vs Leo 6–8 42.86%
‎‎‎‎ vs Xiaoyu 9–3 75.00%
‎‎‎‎ vs Nina 5–7 41.67%
‎‎‎‎ vs Leroy 1–9 10.00%
‎‎‎‎ vs Raven 5–5 50.00%
‎‎‎‎ vs Kuma 6–2 75.00%
‎‎‎‎ vs Claudio 5–2 71.43%
‎‎‎‎ vs Shaheen 2–5 28.57%
‎‎‎‎ vs Zafina 2–5 28.57%
‎‎‎‎ vs Panda 1–3 25.00%
‎‎‎‎ vs Lidia 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.