Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

pronouns vs Steve 16–29 35.56%
pronouns vs King 13–28 31.71%
pronouns vs Armor King 14–20 41.18%
pronouns vs Reina 17–14 54.84%
pronouns vs Jin 14–16 46.67%
pronouns vs Miary Zo 10–19 34.48%
pronouns vs Dragunov 10–18 35.71%
pronouns vs Law 12–15 44.44%
pronouns vs Heihachi 12–13 48.00%
pronouns vs Asuka 7–12 36.84%
pronouns vs Kazuya 10–8 55.56%
pronouns vs Victor 6–11 35.29%
pronouns vs Jun 6–10 37.50%
pronouns vs Eddy 4–12 25.00%
pronouns vs Leo 6–9 40.00%
pronouns vs Hwoarang 5–9 35.71%
pronouns vs Clive 3–11 21.43%
pronouns vs Fahkumram 3–11 21.43%
pronouns vs Lee 4–9 30.77%
pronouns vs Lidia 5–8 38.46%
pronouns vs Anna 2–11 15.38%
pronouns vs Lars 3–9 25.00%
pronouns vs Azucena 4–7 36.36%
pronouns vs Xiaoyu 8–2 80.00%
pronouns vs Bryan 3–7 30.00%
pronouns vs Lili 4–5 44.44%
pronouns vs Paul 3–5 37.50%
pronouns vs Jack-8 1–7 12.50%
pronouns vs Leroy 1–7 12.50%
pronouns vs Yoshimitsu 6–1 85.71%
pronouns vs Feng 2–5 28.57%
pronouns vs Nina 3–3 50.00%
pronouns vs Raven 2–4 33.33%
pronouns vs Claudio 0–5 0.00%
pronouns vs Kuma 0–5 0.00%
pronouns vs Devil Jin 1–3 25.00%
pronouns vs Alisa 1–3 25.00%
pronouns vs Shaheen 1–2 33.33%
pronouns vs Panda 0–3 0.00%
pronouns vs Zafina 0–2 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.