Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

nonchalant vs Kazuya 26–27 49.06%
nonchalant vs Lidia 20–28 41.67%
nonchalant vs Hwoarang 19–22 46.34%
nonchalant vs King 15–24 38.46%
nonchalant vs Jin 18–21 46.15%
nonchalant vs Lili 15–17 46.88%
nonchalant vs Steve 9–21 30.00%
nonchalant vs Victor 14–16 46.67%
nonchalant vs Eddy 13–16 44.83%
nonchalant vs Law 14–14 50.00%
nonchalant vs Reina 16–10 61.54%
nonchalant vs Yoshimitsu 10–12 45.45%
nonchalant vs Bryan 7–15 31.82%
nonchalant vs Zafina 10–9 52.63%
nonchalant vs Jun 8–11 42.11%
nonchalant vs Lee 5–13 27.78%
nonchalant vs Lars 2–14 12.50%
nonchalant vs Devil Jin 4–11 26.67%
nonchalant vs Xiaoyu 5–9 35.71%
nonchalant vs Asuka 8–6 57.14%
nonchalant vs Dragunov 6–7 46.15%
nonchalant vs Leo 7–5 58.33%
nonchalant vs Claudio 6–6 50.00%
nonchalant vs Leroy 5–6 45.45%
nonchalant vs Paul 5–5 50.00%
nonchalant vs Jack-8 4–6 40.00%
nonchalant vs Nina 2–6 25.00%
nonchalant vs Azucena 4–4 50.00%
nonchalant vs Raven 3–5 37.50%
nonchalant vs Alisa 2–5 28.57%
nonchalant vs Shaheen 3–4 42.86%
nonchalant vs Feng 0–3 0.00%
nonchalant vs Kuma 0–3 0.00%
nonchalant 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.