Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Smile vs Jin 32–41 43.84%
Smile vs Kazuya 41–30 57.75%
Smile vs Steve 39–20 66.10%
Smile vs King 31–27 53.45%
Smile vs Dragunov 25–16 60.98%
Smile vs Hwoarang 16–21 43.24%
Smile vs Law 22–13 62.86%
Smile vs Bryan 12–23 34.29%
Smile vs Reina 21–10 67.74%
Smile vs Paul 19–7 73.08%
Smile vs Clive 12–12 50.00%
Smile vs Lars 15–8 65.22%
Smile vs Heihachi 9–13 40.91%
Smile vs Devil Jin 17–3 85.00%
Smile vs Yoshimitsu 5–14 26.32%
Smile vs Victor 12–7 63.16%
Smile vs Feng 5–12 29.41%
Smile vs Lee 9–6 60.00%
Smile vs Nina 6–7 46.15%
Smile vs Azucena 10–3 76.92%
Smile vs Jack-8 5–6 45.45%
Smile vs Jun 8–3 72.73%
Smile vs Shaheen 8–2 80.00%
Smile vs Eddy 10–0 100.00%
Smile vs Asuka 3–6 33.33%
Smile vs Leroy 6–3 66.67%
Smile vs Alisa 6–2 75.00%
Smile vs Lili 3–4 42.86%
Smile vs Kuma 6–0 100.00%
Smile vs Zafina 3–3 50.00%
Smile vs Lidia 4–1 80.00%
Smile vs Leo 2–2 50.00%
Smile vs Xiaoyu 1–2 33.33%
Smile vs Claudio 2–1 66.67%
Smile vs Raven 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.