Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

nabe vs Reina 36–31 53.73%
nabe vs Dragunov 28–25 52.83%
nabe vs King 28–21 57.14%
nabe vs Hwoarang 16–30 34.78%
nabe vs Azucena 22–22 50.00%
nabe vs Jin 18–23 43.90%
nabe vs Kazuya 22–18 55.00%
nabe vs Nina 17–22 43.59%
nabe vs Eddy 14–25 35.90%
nabe vs Lili 23–14 62.16%
nabe vs Paul 12–23 34.29%
nabe vs Jun 21–11 65.62%
nabe vs Yoshimitsu 13–17 43.33%
nabe vs Law 12–17 41.38%
nabe vs Devil Jin 12–12 50.00%
nabe vs Bryan 8–15 34.78%
nabe vs Asuka 11–10 52.38%
nabe vs Jack-8 8–11 42.11%
nabe vs Lars 12–7 63.16%
nabe vs Victor 5–14 26.32%
nabe vs Xiaoyu 4–13 23.53%
nabe vs Feng 7–10 41.18%
nabe vs Claudio 9–8 52.94%
nabe vs Alisa 7–8 46.67%
nabe vs Leroy 6–8 42.86%
nabe vs Lee 4–5 44.44%
nabe vs Shaheen 6–2 75.00%
nabe vs Steve 4–3 57.14%
nabe vs Leo 1–6 14.29%
nabe vs Raven 2–4 33.33%
nabe vs Kuma 2–2 50.00%
nabe vs Zafina 1–2 33.33%

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.