Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

ppiolkm vs Reina 28–15 65.12%
ppiolkm vs Kazuya 23–18 56.10%
ppiolkm vs Paul 25–13 65.79%
ppiolkm vs Hwoarang 25–13 65.79%
ppiolkm vs Dragunov 7–26 21.21%
ppiolkm vs Law 13–18 41.94%
ppiolkm vs King 19–11 63.33%
ppiolkm vs Lili 13–15 46.43%
ppiolkm vs Asuka 20–7 74.07%
ppiolkm vs Bryan 7–17 29.17%
ppiolkm vs Yoshimitsu 11–10 52.38%
ppiolkm vs Jin 7–14 33.33%
ppiolkm vs Jun 16–5 76.19%
ppiolkm vs Feng 10–10 50.00%
ppiolkm vs Steve 10–9 52.63%
ppiolkm vs Victor 7–11 38.89%
ppiolkm vs Lidia 10–6 62.50%
ppiolkm vs Devil Jin 8–7 53.33%
ppiolkm vs Jack-8 6–8 42.86%
ppiolkm vs Claudio 7–7 50.00%
ppiolkm vs Lee 7–7 50.00%
ppiolkm vs Azucena 7–5 58.33%
ppiolkm vs Eddy 3–6 33.33%
ppiolkm vs Leo 2–6 25.00%
ppiolkm vs Alisa 1–7 12.50%
ppiolkm vs Leroy 3–5 37.50%
ppiolkm vs Xiaoyu 4–3 57.14%
ppiolkm vs Lars 2–5 28.57%
ppiolkm vs Nina 2–5 28.57%
ppiolkm vs Shaheen 1–5 16.67%
ppiolkm vs Kuma 3–2 60.00%
ppiolkm vs Zafina 3–1 75.00%
ppiolkm vs Raven 1–3 25.00%
ppiolkm vs Heihachi 1–2 33.33%
ppiolkm vs Panda 1–1 50.00%

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.