Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Hay Hatchi vs Heihachi 79–56 58.52%
Hay Hatchi vs Kazuya 64–61 51.20%
Hay Hatchi vs King 62–53 53.91%
Hay Hatchi vs Bryan 60–51 54.05%
Hay Hatchi vs Reina 55–45 55.00%
Hay Hatchi vs Jin 40–46 46.51%
Hay Hatchi vs Steve 55–26 67.90%
Hay Hatchi vs Law 36–34 51.43%
Hay Hatchi vs Hwoarang 35–34 50.72%
Hay Hatchi vs Asuka 32–30 51.61%
Hay Hatchi vs Lee 26–35 42.62%
Hay Hatchi vs Dragunov 26–32 44.83%
Hay Hatchi vs Yoshimitsu 31–26 54.39%
Hay Hatchi vs Paul 26–25 50.98%
Hay Hatchi vs Lili 28–20 58.33%
Hay Hatchi vs Devil Jin 15–30 33.33%
Hay Hatchi vs Xiaoyu 23–21 52.27%
Hay Hatchi vs Lars 20–23 46.51%
Hay Hatchi vs Eddy 16–26 38.10%
Hay Hatchi vs Jun 18–23 43.90%
Hay Hatchi vs Azucena 21–19 52.50%
Hay Hatchi vs Leroy 18–20 47.37%
Hay Hatchi vs Nina 18–19 48.65%
Hay Hatchi vs Jack-8 14–19 42.42%
Hay Hatchi vs Fahkumram 14–17 45.16%
Hay Hatchi vs Feng 12–13 48.00%
Hay Hatchi vs Victor 13–12 52.00%
Hay Hatchi vs Lidia 14–11 56.00%
Hay Hatchi vs Alisa 7–17 29.17%
Hay Hatchi vs Raven 7–14 33.33%
Hay Hatchi vs Leo 7–12 36.84%
Hay Hatchi vs Claudio 7–11 38.89%
Hay Hatchi vs Kuma 8–10 44.44%
Hay Hatchi vs Panda 8–2 80.00%
Hay Hatchi vs Anna 4–5 44.44%
Hay Hatchi vs Shaheen 0–8 0.00%
Hay Hatchi vs Clive 4–2 66.67%
Hay Hatchi vs Zafina 1–2 33.33%

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.