Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

different vs Jin 59–64 47.97%
different vs Kazuya 54–54 50.00%
different vs King 55–45 55.00%
different vs Law 43–52 45.26%
different vs Dragunov 29–28 50.88%
different vs Hwoarang 28–28 50.00%
different vs Bryan 26–23 53.06%
different vs Heihachi 21–26 44.68%
different vs Azucena 15–14 51.72%
different vs Steve 14–11 56.00%
different vs Lili 13–12 52.00%
different vs Devil Jin 12–11 52.17%
different vs Lee 10–13 43.48%
different vs Reina 6–17 26.09%
different vs Clive 10–9 52.63%
different vs Jun 7–10 41.18%
different vs Victor 8–9 47.06%
different vs Yoshimitsu 6–10 37.50%
different vs Eddy 6–9 40.00%
different vs Paul 3–11 21.43%
different vs Xiaoyu 8–6 57.14%
different vs Armor King 6–8 42.86%
different vs Alisa 5–7 41.67%
different vs Nina 8–3 72.73%
different vs Claudio 6–4 60.00%
different vs Asuka 4–5 44.44%
different vs Feng 3–6 33.33%
different vs Raven 3–6 33.33%
different vs Lars 1–7 12.50%
different vs Shaheen 3–5 37.50%
different vs Jack-8 1–6 14.29%
different vs Kuma 2–4 33.33%
different vs Panda 2–4 33.33%
different vs Leroy 5–1 83.33%
different vs Fahkumram 1–3 25.00%
different vs Miary Zo 2–2 50.00%
different vs Lidia 0–2 0.00%
different vs Leo 1–0 100.00%
different vs Anna 0–1 0.00%

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.