Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

ArbiteryChief vs Kazuya 21–34 38.18%
ArbiteryChief vs Jin 18–36 33.33%
ArbiteryChief vs King 13–40 24.53%
ArbiteryChief vs Reina 24–23 51.06%
ArbiteryChief vs Steve 8–29 21.62%
ArbiteryChief vs Bryan 16–18 47.06%
ArbiteryChief vs Lili 9–22 29.03%
ArbiteryChief vs Jun 13–15 46.43%
ArbiteryChief vs Lars 7–17 29.17%
ArbiteryChief vs Hwoarang 12–11 52.17%
ArbiteryChief vs Yoshimitsu 8–14 36.36%
ArbiteryChief vs Dragunov 9–10 47.37%
ArbiteryChief vs Nina 3–16 15.79%
ArbiteryChief vs Victor 6–13 31.58%
ArbiteryChief vs Eddy 9–8 52.94%
ArbiteryChief vs Azucena 7–9 43.75%
ArbiteryChief vs Paul 4–11 26.67%
ArbiteryChief vs Clive 6–9 40.00%
ArbiteryChief vs Devil Jin 6–8 42.86%
ArbiteryChief vs Law 3–9 25.00%
ArbiteryChief vs Claudio 5–7 41.67%
ArbiteryChief vs Leroy 4–8 33.33%
ArbiteryChief vs Xiaoyu 2–9 18.18%
ArbiteryChief vs Asuka 2–9 18.18%
ArbiteryChief vs Jack-8 4–6 40.00%
ArbiteryChief vs Feng 2–8 20.00%
ArbiteryChief vs Alisa 2–7 22.22%
ArbiteryChief vs Kuma 2–7 22.22%
ArbiteryChief vs Heihachi 1–7 12.50%
ArbiteryChief vs Shaheen 5–2 71.43%
ArbiteryChief vs Raven 4–3 57.14%
ArbiteryChief vs Lidia 1–4 20.00%
ArbiteryChief vs Leo 0–4 0.00%
ArbiteryChief vs Lee 0–4 0.00%
ArbiteryChief vs Panda 0–4 0.00%
ArbiteryChief vs Zafina 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.