Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

UnLikely
YoungL
UnLikely vs Jin 34–25 57.63%
UnLikely vs King 20–19 51.28%
UnLikely vs Kazuya 24–15 61.54%
UnLikely vs Hwoarang 19–13 59.38%
UnLikely vs Lili 14–16 46.67%
UnLikely vs Nina 12–18 40.00%
UnLikely vs Jun 15–15 50.00%
UnLikely vs Bryan 18–11 62.07%
UnLikely vs Victor 21–5 80.77%
UnLikely vs Devil Jin 17–6 73.91%
UnLikely vs Paul 12–10 54.55%
UnLikely vs Steve 14–7 66.67%
UnLikely vs Law 12–6 66.67%
UnLikely vs Asuka 9–8 52.94%
UnLikely vs Zafina 8–8–1 50.00%
UnLikely vs Eddy 10–5 66.67%
UnLikely vs Reina 5–8 38.46%
UnLikely vs Azucena 8–5 61.54%
UnLikely vs Xiaoyu 7–5 58.33%
UnLikely vs Jack-8 6–5 54.55%
UnLikely vs Lars 8–2 80.00%
UnLikely vs Shaheen 5–5 50.00%
UnLikely vs Lee 7–3 70.00%
UnLikely vs Dragunov 2–7 22.22%
UnLikely vs Yoshimitsu 3–4 42.86%
UnLikely vs Feng 4–3 57.14%
UnLikely vs Kuma 4–3 57.14%
UnLikely vs Raven 4–3 57.14%
UnLikely vs Leo 4–2 66.67%
UnLikely vs Leroy 4–2 66.67%
UnLikely vs Claudio 0–4 0.00%
UnLikely vs Lidia 1–1 50.00%
UnLikely vs Alisa 1–0 100.00%
UnLikely vs Heihachi 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.