Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

tunde vs King 36–41 46.75%
tunde vs Eddy 31–20 60.78%
tunde vs Kazuya 20–29 40.82%
tunde vs Steve 23–26 46.94%
tunde vs Reina 33–14 70.21%
tunde vs Jin 18–25 41.86%
tunde vs Victor 20–22 47.62%
tunde vs Law 21–19 52.50%
tunde vs Yoshimitsu 21–15 58.33%
tunde vs Lili 19–16 54.29%
tunde vs Bryan 15–19 44.12%
tunde vs Xiaoyu 21–11 65.62%
tunde vs Nina 12–17 41.38%
tunde vs Asuka 13–13 50.00%
tunde vs Lars 14–11 56.00%
tunde vs Raven 13–12 52.00%
tunde vs Paul 8–16 33.33%
tunde vs Lee 11–12 47.83%
tunde vs Devil Jin 9–13 40.91%
tunde vs Dragunov 9–12 42.86%
tunde vs Leo 9–9 50.00%
tunde vs Leroy 7–11 38.89%
tunde vs Alisa 7–10 41.18%
tunde vs Azucena 8–9 47.06%
tunde vs Hwoarang 13–3 81.25%
tunde vs Jun 6–9 40.00%
tunde vs Feng 3–11 21.43%
tunde vs Jack-8 6–7 46.15%
tunde vs Zafina 4–6 40.00%
tunde vs Shaheen 2–7 22.22%
tunde vs Kuma 6–3 66.67%
tunde vs Claudio 4–3 57.14%
tunde vs Panda 0–4 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.