Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Tinderella vs Kazuya 24–50 32.43%
Tinderella vs Reina 32–33 49.23%
Tinderella vs Jin 11–46 19.30%
Tinderella vs Bryan 20–23 46.51%
Tinderella vs King 16–24 40.00%
Tinderella vs Hwoarang 13–21 38.24%
Tinderella vs Steve 16–18 47.06%
Tinderella vs Dragunov 13–21 38.24%
Tinderella vs Lili 12–15 44.44%
Tinderella vs Paul 10–14 41.67%
Tinderella vs Law 4–18 18.18%
Tinderella vs Lee 10–12 45.45%
Tinderella vs Azucena 8–14 36.36%
Tinderella vs Shaheen 10–11 47.62%
Tinderella vs Jun 10–11 47.62%
Tinderella vs Eddy 3–17 15.00%
Tinderella vs Heihachi 4–16 20.00%
Tinderella vs Yoshimitsu 7–12 36.84%
Tinderella vs Devil Jin 5–13 27.78%
Tinderella vs Alisa 7–10 41.18%
Tinderella vs Lars 5–11 31.25%
Tinderella vs Nina 7–9 43.75%
Tinderella vs Lidia 7–9 43.75%
Tinderella vs Victor 6–8 42.86%
Tinderella vs Claudio 6–7 46.15%
Tinderella vs Leroy 8–5 61.54%
Tinderella vs Xiaoyu 1–11 8.33%
Tinderella vs Jack-8 3–7 30.00%
Tinderella vs Zafina 3–7 30.00%
Tinderella vs Feng 4–5 44.44%
Tinderella vs Raven 1–7 12.50%
Tinderella vs Asuka 1–6 14.29%
Tinderella vs Kuma 1–6 14.29%
Tinderella vs Leo 1–4 20.00%

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.