Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Ketheric Thorn vs Kazuya 57–52 52.29%
Ketheric Thorn vs Reina 37–41 47.44%
Ketheric Thorn vs Bryan 41–35 53.95%
Ketheric Thorn vs Jin 44–30 59.46%
Ketheric Thorn vs Heihachi 38–26 59.38%
Ketheric Thorn vs Dragunov 28–26 51.85%
Ketheric Thorn vs King 32–17 65.31%
Ketheric Thorn vs Eddy 28–20 58.33%
Ketheric Thorn vs Lee 22–23 48.89%
Ketheric Thorn vs Lidia 24–21 53.33%
Ketheric Thorn vs Paul 18–24 42.86%
Ketheric Thorn vs Steve 25–15 62.50%
Ketheric Thorn vs Hwoarang 24–15 61.54%
Ketheric Thorn vs Lili 33–4 89.19%
Ketheric Thorn vs Law 21–13 61.76%
Ketheric Thorn vs Feng 17–17 50.00%
Ketheric Thorn vs Devil Jin 16–17 48.48%
Ketheric Thorn vs Xiaoyu 18–14 56.25%
Ketheric Thorn vs Yoshimitsu 14–17 45.16%
Ketheric Thorn vs Jack-8 13–16 44.83%
Ketheric Thorn vs Azucena 18–10 64.29%
Ketheric Thorn vs Victor 13–15 46.43%
Ketheric Thorn vs Nina 14–12 53.85%
Ketheric Thorn vs Lars 8–17 32.00%
Ketheric Thorn vs Raven 13–11 54.17%
Ketheric Thorn vs Alisa 9–12 42.86%
Ketheric Thorn vs Jun 8–11 42.11%
Ketheric Thorn vs Kuma 8–5 61.54%
Ketheric Thorn vs Leo 4–8 33.33%
Ketheric Thorn vs Shaheen 8–4 66.67%
Ketheric Thorn vs Leroy 6–6 50.00%
Ketheric Thorn vs Claudio 5–6 45.45%
Ketheric Thorn vs Asuka 7–3 70.00%
Ketheric Thorn vs Zafina 3–4 42.86%

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.