Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Emacs
E-mail umbrella
Brain trauma
HJÄRNSKADAD
Ahmed
Chinese man
Hobo
Emacs vs Jin 37–28 56.92%
Emacs vs Hwoarang 26–33 44.07%
Emacs vs Kazuya 25–27 48.08%
Emacs vs King 31–20 60.78%
Emacs vs Heihachi 15–28 34.88%
Emacs vs Reina 23–9 71.88%
Emacs vs Devil Jin 22–9 70.97%
Emacs vs Jun 12–19 38.71%
Emacs vs Yoshimitsu 13–17 43.33%
Emacs vs Lili 19–8 70.37%
Emacs vs Eddy 10–17 37.04%
Emacs vs Bryan 10–15 40.00%
Emacs vs Nina 17–8 68.00%
Emacs vs Paul 10–14 41.67%
Emacs vs Law 15–9 62.50%
Emacs vs Dragunov 11–12 47.83%
Emacs vs Asuka 13–8 61.90%
Emacs vs Victor 11–10 52.38%
Emacs vs Azucena 10–8 55.56%
Emacs vs Xiaoyu 10–6 62.50%
Emacs vs Steve 11–5 68.75%
Emacs vs Lars 6–7 46.15%
Emacs vs Jack-8 5–6 45.45%
Emacs vs Leo 7–3 70.00%
Emacs vs Claudio 4–6 40.00%
Emacs vs Lee 7–3 70.00%
Emacs vs Feng 3–6 33.33%
Emacs vs Alisa 4–5 44.44%
Emacs vs Kuma 2–5 28.57%
Emacs vs Raven 4–3 57.14%
Emacs vs Shaheen 3–2 60.00%
Emacs vs Lidia 1–4 20.00%
Emacs vs Zafina 2–2 50.00%
Emacs vs Leroy 3–1 75.00%

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.