Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

unnkomen vs Jin 14–26 35.00%
unnkomen vs King 16–21 43.24%
unnkomen vs Hwoarang 22–14 61.11%
unnkomen vs Dragunov 25–7 78.12%
unnkomen vs Kazuya 16–15 51.61%
unnkomen vs Lili 17–13 56.67%
unnkomen vs Bryan 12–15 44.44%
unnkomen vs Nina 22–5 81.48%
unnkomen vs Reina 19–7 73.08%
unnkomen vs Yoshimitsu 14–11 56.00%
unnkomen vs Asuka 13–11 54.17%
unnkomen vs Paul 15–8 65.22%
unnkomen vs Steve 14–8 63.64%
unnkomen vs Devil Jin 9–13 40.91%
unnkomen vs Feng 12–10 54.55%
unnkomen vs Jun 11–10 52.38%
unnkomen vs Lee 7–11 38.89%
unnkomen vs Azucena 9–8 52.94%
unnkomen vs Alisa 12–4 75.00%
unnkomen vs Leo 8–7 53.33%
unnkomen vs Lars 4–10 28.57%
unnkomen vs Law 7–6 53.85%
unnkomen vs Jack-8 7–6 53.85%
unnkomen vs Xiaoyu 9–3 75.00%
unnkomen vs Shaheen 6–6 50.00%
unnkomen vs Raven 5–7 41.67%
unnkomen vs Victor 5–6 45.45%
unnkomen vs Eddy 4–6 40.00%
unnkomen vs Claudio 5–4 55.56%
unnkomen vs Leroy 6–2 75.00%
unnkomen vs Kuma 4–2 66.67%
unnkomen vs Lidia 1–2 33.33%
unnkomen vs Zafina 1–1 50.00%
unnkomen vs Panda 1–0 100.00%

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.