Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

smile vs King 25–12 67.57%
smile vs Lidia 22–12 64.71%
smile vs Jin 21–9 70.00%
smile vs Reina 17–9 65.38%
smile vs Kazuya 16–9 64.00%
smile vs Dragunov 11–12 47.83%
smile vs Asuka 16–6 72.73%
smile vs Lee 9–8 52.94%
smile vs Law 9–6 60.00%
smile vs Xiaoyu 11–3 78.57%
smile vs Lili 10–3 76.92%
smile vs Nina 7–6 53.85%
smile vs Yoshimitsu 8–4 66.67%
smile vs Steve 10–2 83.33%
smile vs Bryan 8–3 72.73%
smile vs Jack-8 6–5 54.55%
smile vs Shaheen 9–2 81.82%
smile vs Leroy 8–3 72.73%
smile vs Azucena 6–5 54.55%
smile vs Paul 3–7 30.00%
smile vs Leo 8–2 80.00%
smile vs Kuma 7–3 70.00%
smile vs Devil Jin 7–2 77.78%
smile vs Jun 8–1 88.89%
smile vs Hwoarang 4–4 50.00%
smile vs Claudio 5–3 62.50%
smile vs Victor 6–2 75.00%
smile vs Eddy 5–3 62.50%
smile vs Heihachi 6–2 75.00%
smile vs Lars 3–4 42.86%
smile vs Alisa 6–1 85.71%
smile vs Raven 5–1 83.33%
smile vs Feng 3–2 60.00%
smile vs Clive 4–1 80.00%
smile vs Zafina 2–1 66.67%

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.