Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

weldata vs Kazuya 29–37 43.94%
weldata vs Jin 29–34 46.03%
weldata vs King 17–29 36.96%
weldata vs Bryan 18–21 46.15%
weldata vs Reina 23–15 60.53%
weldata vs Steve 16–14 53.33%
weldata vs Hwoarang 11–18 37.93%
weldata vs Lili 9–16 36.00%
weldata vs Dragunov 13–12 52.00%
weldata vs Victor 13–12 52.00%
weldata vs Jun 12–11 52.17%
weldata vs Paul 7–15 31.82%
weldata vs Leroy 14–8 63.64%
weldata vs Law 3–18 14.29%
weldata vs Yoshimitsu 10–8 55.56%
weldata vs Alisa 7–9 43.75%
weldata vs Nina 4–10 28.57%
weldata vs Lee 7–7 50.00%
weldata vs Asuka 7–5 58.33%
weldata vs Eddy 8–4 66.67%
weldata vs Feng 6–5 54.55%
weldata vs Leo 7–3 70.00%
weldata vs Azucena 5–5 50.00%
weldata vs Lars 5–4 55.56%
weldata vs Kuma 5–3 62.50%
weldata vs Zafina 4–4 50.00%
weldata vs Devil Jin 1–6 14.29%
weldata vs Lidia 0–7 0.00%
weldata vs Xiaoyu 1–5 16.67%
weldata vs Jack-8 4–1 80.00%
weldata vs Shaheen 1–4 20.00%
weldata vs Raven 1–4 20.00%
weldata vs Claudio 0–4 0.00%
weldata 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.