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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

lane vs Miary Zo 14–27 34.15%
lane vs King 12–25 32.43%
lane vs Steve 15–17 46.88%
lane vs Reina 17–8 68.00%
lane vs Armor King 11–13 45.83%
lane vs Lili 6–16 27.27%
lane vs Yoshimitsu 1–16 5.88%
lane vs Jin 5–10 33.33%
lane vs Law 5–9 35.71%
lane vs Dragunov 4–9 30.77%
lane vs Jun 5–7 41.67%
lane vs Lidia 6–5 54.55%
lane vs Clive 4–7 36.36%
lane vs Feng 3–7 30.00%
lane vs Hwoarang 1–8 11.11%
lane vs Xiaoyu 2–7 22.22%
lane vs Fahkumram 3–6 33.33%
lane vs Kazuya 1–6 14.29%
lane vs Anna 6–1 85.71%
lane vs Leo 3–3 50.00%
lane vs Lee 1–5 16.67%
lane vs Alisa 2–3 40.00%
lane vs Kuma 5–0 100.00%
lane vs Raven 0–5 0.00%
lane vs Heihachi 1–4 20.00%
lane vs Asuka 2–2 50.00%
lane vs Nina 3–1 75.00%
lane vs Victor 2–2 50.00%
lane vs Lars 1–2 33.33%
lane vs Claudio 2–1 66.67%
lane vs Leroy 0–3 0.00%
lane vs Eddy 0–3 0.00%
lane vs Jack-8 2–0 100.00%
lane vs Devil Jin 1–1 50.00%
lane vs Zafina 0–2 0.00%
lane vs Azucena 1–1 50.00%
lane vs Bryan 0–1 0.00%
lane vs Panda 1–0 100.00%

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.