Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

div.papers vs Kazuya 24–18 57.14%
div.papers vs Hwoarang 27–13 67.50%
div.papers vs Law 16–14 53.33%
div.papers vs Steve 22–8 73.33%
div.papers vs Lili 18–12 60.00%
div.papers vs King 18–11 62.07%
div.papers vs Jin 11–18 37.93%
div.papers vs Bryan 8–18 30.77%
div.papers vs Reina 15–10 60.00%
div.papers vs Asuka 12–11 52.17%
div.papers vs Armor King 10–13 43.48%
div.papers vs Dragunov 13–9 59.09%
div.papers vs Miary Zo 13–7 65.00%
div.papers vs Azucena 9–10 47.37%
div.papers vs Paul 8–10 44.44%
div.papers vs Claudio 9–9 50.00%
div.papers vs Yoshimitsu 8–8 50.00%
div.papers vs Victor 8–6 57.14%
div.papers vs Lars 5–8 38.46%
div.papers vs Heihachi 5–8 38.46%
div.papers vs Xiaoyu 4–8 33.33%
div.papers vs Jun 8–4 66.67%
div.papers vs Alisa 8–3 72.73%
div.papers vs Devil Jin 4–5 44.44%
div.papers vs Lee 4–4 50.00%
div.papers vs Clive 5–2 71.43%
div.papers vs Nina 6–0 100.00%
div.papers vs Fahkumram 3–3 50.00%
div.papers vs Leroy 1–4 20.00%
div.papers vs Feng 2–2 50.00%
div.papers vs Kuma 4–0 100.00%
div.papers vs Zafina 3–1 75.00%
div.papers vs Anna 2–2 50.00%
div.papers vs Leo 3–0 100.00%
div.papers vs Eddy 1–2 33.33%
div.papers vs Jack-8 0–2 0.00%
div.papers vs Lidia 2–0 100.00%
div.papers vs Panda 0–1 0.00%
div.papers vs Raven 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.