Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

kisses
haic:
heypapi:*
kisses vs Hwoarang 20–25 44.44%
kisses vs Nina 22–18 55.00%
kisses vs Heihachi 27–13 67.50%
kisses vs Dragunov 20–17 54.05%
kisses vs King 20–12 62.50%
kisses vs Kazuya 21–11 65.62%
kisses vs Lars 18–10 64.29%
kisses vs Yoshimitsu 20–7 74.07%
kisses vs Leo 14–9 60.87%
kisses vs Law 17–5 77.27%
kisses vs Bryan 17–5 77.27%
kisses vs Victor 10–12 45.45%
kisses vs Jin 17–3 85.00%
kisses vs Feng 12–8 60.00%
kisses vs Lidia 14–6 70.00%
kisses vs Asuka 14–5 73.68%
kisses vs Lee 10–9 52.63%
kisses vs Kuma 11–8 57.89%
kisses vs Paul 10–8 55.56%
kisses vs Lili 11–7 61.11%
kisses vs Xiaoyu 10–7 58.82%
kisses vs Alisa 13–4 76.47%
kisses vs Zafina 1–15 6.25%
kisses vs Reina 15–0 100.00%
kisses vs Azucena 13–2 86.67%
kisses vs Leroy 10–4 71.43%
kisses vs Shaheen 8–5 61.54%
kisses vs Devil Jin 6–6 50.00%
kisses vs Claudio 6–6 50.00%
kisses vs Panda 4–8 33.33%
kisses vs Raven 10–2 83.33%
kisses vs Eddy 7–4 63.64%
kisses vs Steve 4–4 50.00%
kisses vs Jun 6–0 100.00%

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.