Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

LUNCH vs Kazuya 29–19 60.42%
LUNCH vs Reina 20–15 57.14%
LUNCH vs Paul 19–15 55.88%
LUNCH vs Dragunov 13–20 39.39%
LUNCH vs Hwoarang 13–11 54.17%
LUNCH vs Bryan 15–9 62.50%
LUNCH vs Yoshimitsu 12–10 54.55%
LUNCH vs Jin 12–9 57.14%
LUNCH vs Victor 9–10 47.37%
LUNCH vs King 10–7 58.82%
LUNCH vs Law 8–8 50.00%
LUNCH vs Xiaoyu 9–7 56.25%
LUNCH vs Alisa 7–9 43.75%
LUNCH vs Heihachi 10–6 62.50%
LUNCH vs Jun 8–7 53.33%
LUNCH vs Asuka 9–5 64.29%
LUNCH vs Lili 6–8 42.86%
LUNCH vs Feng 7–6 53.85%
LUNCH vs Jack-8 6–5 54.55%
LUNCH vs Leo 4–7 36.36%
LUNCH vs Nina 3–8 27.27%
LUNCH vs Leroy 8–3 72.73%
LUNCH vs Steve 5–5 50.00%
LUNCH vs Devil Jin 6–4 60.00%
LUNCH vs Lee 6–1 85.71%
LUNCH vs Kuma 5–2 71.43%
LUNCH vs Eddy 4–3 57.14%
LUNCH vs Lidia 5–2 71.43%
LUNCH vs Claudio 1–5 16.67%
LUNCH vs Shaheen 1–4 20.00%
LUNCH vs Lars 0–4 0.00%
LUNCH vs Panda 0–4 0.00%
LUNCH vs Azucena 3–0 100.00%
LUNCH vs Zafina 2–0 100.00%

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.