Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

epilly vs King 28–36 43.75%
epilly vs Jin 26–30 46.43%
epilly vs Kazuya 14–32 30.43%
epilly vs Bryan 23–20 53.49%
epilly vs Reina 21–21 50.00%
epilly vs Yoshimitsu 20–21 48.78%
epilly vs Hwoarang 20–17 54.05%
epilly vs Law 18–14 56.25%
epilly vs Asuka 17–15 53.12%
epilly vs Azucena 21–11 65.62%
epilly vs Paul 18–13 58.06%
epilly vs Lee 16–15 51.61%
epilly vs Steve 13–14 48.15%
epilly vs Victor 13–13 50.00%
epilly vs Lars 11–11 50.00%
epilly vs Alisa 8–13 38.10%
epilly vs Jun 9–11 45.00%
epilly vs Dragunov 10–9 52.63%
epilly vs Raven 9–9 50.00%
epilly vs Lili 2–14 12.50%
epilly vs Devil Jin 8–7 53.33%
epilly vs Feng 6–8 42.86%
epilly vs Leroy 7–7 50.00%
epilly vs Shaheen 5–8 38.46%
epilly vs Jack-8 7–5 58.33%
epilly vs Leo 3–9 25.00%
epilly vs Xiaoyu 7–3 70.00%
epilly vs Eddy 4–6 40.00%
epilly vs Lidia 5–4 55.56%
epilly vs Kuma 5–2 71.43%
epilly vs Claudio 4–2 66.67%
epilly vs Zafina 1–2 33.33%
epilly vs Nina 0–2 0.00%

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.