Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Thousand Cuts
Pass
POWAAAAAAAAAAA
GANG
Thousand Cuts vs Kazuya 52–33 61.18%
Thousand Cuts vs Reina 33–16 67.35%
Thousand Cuts vs Bryan 34–11 75.56%
Thousand Cuts vs Lee 20–22 47.62%
Thousand Cuts vs King 30–10 75.00%
Thousand Cuts vs Jin 25–15 62.50%
Thousand Cuts vs Yoshimitsu 19–20 48.72%
Thousand Cuts vs Hwoarang 21–15 58.33%
Thousand Cuts vs Lars 18–17 51.43%
Thousand Cuts vs Eddy 26–9 74.29%
Thousand Cuts vs Jun 28–6 82.35%
Thousand Cuts vs Lili 25–8 75.76%
Thousand Cuts vs Nina 19–12 61.29%
Thousand Cuts vs Dragunov 14–15 48.28%
Thousand Cuts vs Law 14–14 50.00%
Thousand Cuts vs Heihachi 18–9 66.67%
Thousand Cuts vs Xiaoyu 14–11 56.00%
Thousand Cuts vs Steve 15–9 62.50%
Thousand Cuts vs Azucena 15–9 62.50%
Thousand Cuts vs Paul 12–6 66.67%
Thousand Cuts vs Jack-8 14–3 82.35%
Thousand Cuts vs Claudio 14–3 82.35%
Thousand Cuts vs Shaheen 7–9 43.75%
Thousand Cuts vs Feng 7–8 46.67%
Thousand Cuts vs Victor 12–3 80.00%
Thousand Cuts vs Devil Jin 4–9 30.77%
Thousand Cuts vs Leo 5–8 38.46%
Thousand Cuts vs Asuka 7–5 58.33%
Thousand Cuts vs Kuma 8–4 66.67%
Thousand Cuts vs Lidia 6–5 54.55%
Thousand Cuts vs Alisa 3–5 37.50%
Thousand Cuts vs Raven 3–5 37.50%
Thousand Cuts vs Panda 3–2 60.00%
Thousand Cuts vs Zafina 3–2 60.00%
Thousand Cuts vs Leroy 2–2 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.