Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Bonne santé
bonne santé
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Bonne santé vs Eddy 32–12 72.73%
Bonne santé vs Hwoarang 30–4 88.24%
Bonne santé vs Dragunov 21–10 67.74%
Bonne santé vs Bryan 21–9 70.00%
Bonne santé vs Reina 20–9 68.97%
Bonne santé vs Jin 20–6 76.92%
Bonne santé vs King 17–7 70.83%
Bonne santé vs Law 13–9 59.09%
Bonne santé vs Azucena 16–6 72.73%
Bonne santé vs Nina 14–6 70.00%
Bonne santé vs Leroy 12–8 60.00%
Bonne santé vs Lili 13–5 72.22%
Bonne santé vs Lars 14–4 77.78%
Bonne santé vs Jun 12–5 70.59%
Bonne santé vs Feng 10–6 62.50%
Bonne santé vs Kazuya 9–5 64.29%
Bonne santé vs Kuma 12–2 85.71%
Bonne santé vs Paul 9–4 69.23%
Bonne santé vs Steve 7–5 58.33%
Bonne santé vs Devil Jin 9–2 81.82%
Bonne santé vs Leo 5–5 50.00%
Bonne santé vs Victor 5–5 50.00%
Bonne santé vs Alisa 8–1 88.89%
Bonne santé vs Yoshimitsu 8–0 100.00%
Bonne santé vs Asuka 5–3 62.50%
Bonne santé vs Lee 6–2 75.00%
Bonne santé vs Raven 5–3 62.50%
Bonne santé vs Xiaoyu 5–1 83.33%
Bonne santé vs Jack-8 5–1 83.33%
Bonne santé vs Zafina 5–1 83.33%
Bonne santé vs Claudio 2–2 50.00%
Bonne santé vs Panda 2–1 66.67%
Bonne santé vs Shaheen 1–1 50.00%

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.