Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

boosted animal vs Dragunov 32–30 51.61%
boosted animal vs Hwoarang 24–22 52.17%
boosted animal vs Feng 25–19 56.82%
boosted animal vs King 20–22 47.62%
boosted animal vs Alisa 7–31 18.42%
boosted animal vs Bryan 21–15 58.33%
boosted animal vs Yoshimitsu 12–23 34.29%
boosted animal vs Jin 17–18 48.57%
boosted animal vs Reina 19–16 54.29%
boosted animal vs Lili 16–12 57.14%
boosted animal vs Paul 16–11 59.26%
boosted animal vs Lars 13–14 48.15%
boosted animal vs Claudio 15–11 57.69%
boosted animal vs Devil Jin 17–8 68.00%
boosted animal vs Shaheen 12–13 48.00%
boosted animal vs Jack-8 7–16 30.43%
boosted animal vs Xiaoyu 13–9 59.09%
boosted animal vs Law 12–9 57.14%
boosted animal vs Kuma 12–9 57.14%
boosted animal vs Lidia 11–10 52.38%
boosted animal vs Leo 8–9 47.06%
boosted animal vs Panda 10–7 58.82%
boosted animal vs Leroy 12–5 70.59%
boosted animal vs Kazuya 13–3 81.25%
boosted animal vs Asuka 8–8 50.00%
boosted animal vs Azucena 9–7 56.25%
boosted animal vs Eddy 9–7 56.25%
boosted animal vs Lee 10–4 71.43%
boosted animal vs Zafina 11–2 84.62%
boosted animal vs Jun 5–8 38.46%
boosted animal vs Victor 11–2 84.62%
boosted animal vs Raven 4–9 30.77%
boosted animal vs Steve 7–4 63.64%
boosted animal vs Nina 1–8 11.11%
boosted animal vs Heihachi 1–2 33.33%

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.