Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

apps vs Jin 10–8 55.56%
apps vs Kazuya 12–6 66.67%
apps vs Asuka 10–7 58.82%
apps vs Lidia 3–12 20.00%
apps vs Paul 12–1 92.31%
apps vs King 7–5 58.33%
apps vs Bryan 10–2 83.33%
apps vs Lee 5–7 41.67%
apps vs Victor 7–5 58.33%
apps vs Steve 7–4 63.64%
apps vs Devil Jin 6–5 54.55%
apps vs Hwoarang 7–2 77.78%
apps vs Reina 7–1 87.50%
apps vs Dragunov 3–4 42.86%
apps vs Alisa 2–5 28.57%
apps vs Yoshimitsu 3–3 50.00%
apps vs Lars 0–6 0.00%
apps vs Nina 4–2 66.67%
apps vs Heihachi 4–2 66.67%
apps vs Fahkumram 2–4 33.33%
apps vs Xiaoyu 3–2 60.00%
apps vs Lili 2–3 40.00%
apps vs Eddy 2–3 40.00%
apps vs Clive 0–5 0.00%
apps vs Anna 1–4 20.00%
apps vs Claudio 2–2 50.00%
apps vs Jun 3–1 75.00%
apps vs Azucena 2–2 50.00%
apps vs Raven 2–2 50.00%
apps vs Law 2–1 66.67%
apps vs Leo 3–0 100.00%
apps vs Kuma 3–0 100.00%
apps vs Armor King 1–2 33.33%
apps vs Miary Zo 1–2 33.33%
apps vs Panda 2–0 100.00%
apps vs Zafina 0–2 0.00%
apps vs Leroy 2–0 100.00%
apps vs Feng 0–1 0.00%
apps vs Shaheen 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.