Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Mrwurldwyd vs King 54–46 54.00%
Mrwurldwyd vs Kazuya 34–39 46.58%
Mrwurldwyd vs Bryan 30–35 46.15%
Mrwurldwyd vs Law 30–30 50.00%
Mrwurldwyd vs Azucena 29–29 50.00%
Mrwurldwyd vs Hwoarang 18–37 32.73%
Mrwurldwyd vs Jun 25–28 47.17%
Mrwurldwyd vs Reina 34–17 66.67%
Mrwurldwyd vs Steve 29–21 58.00%
Mrwurldwyd vs Heihachi 26–24 52.00%
Mrwurldwyd vs Jin 24–22 52.17%
Mrwurldwyd vs Lee 26–18 59.09%
Mrwurldwyd vs Yoshimitsu 21–21 50.00%
Mrwurldwyd vs Clive 27–14 65.85%
Mrwurldwyd vs Victor 20–11 64.52%
Mrwurldwyd vs Lidia 20–11 64.52%
Mrwurldwyd vs Feng 16–14 53.33%
Mrwurldwyd vs Lili 15–15 50.00%
Mrwurldwyd vs Paul 19–10 65.52%
Mrwurldwyd vs Xiaoyu 17–12 58.62%
Mrwurldwyd vs Eddy 11–17 39.29%
Mrwurldwyd vs Nina 8–17 32.00%
Mrwurldwyd vs Asuka 10–14 41.67%
Mrwurldwyd vs Dragunov 15–9 62.50%
Mrwurldwyd vs Leo 13–9 59.09%
Mrwurldwyd vs Leroy 11–11 50.00%
Mrwurldwyd vs Lars 12–9 57.14%
Mrwurldwyd vs Kuma 9–10 47.37%
Mrwurldwyd vs Devil Jin 9–9 50.00%
Mrwurldwyd vs Jack-8 10–7 58.82%
Mrwurldwyd vs Raven 7–6 53.85%
Mrwurldwyd vs Fahkumram 10–3 76.92%
Mrwurldwyd vs Armor King 7–6 53.85%
Mrwurldwyd vs Zafina 5–7 41.67%
Mrwurldwyd vs Claudio 2–9 18.18%
Mrwurldwyd vs Shaheen 6–3 66.67%
Mrwurldwyd vs Alisa 3–5 37.50%
Mrwurldwyd vs Miary Zo 0–4 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.