Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

noll
ddalgi
noll vs Reina 48–42 53.33%
noll vs Kazuya 20–42 32.26%
noll vs Jun 21–41 33.87%
noll vs King 20–41 32.79%
noll vs Hwoarang 14–46 23.33%
noll vs Paul 17–36 32.08%
noll vs Victor 7–43 14.00%
noll vs Dragunov 8–37 17.78%
noll vs Jin 16–28 36.36%
noll vs Law 11–25 30.56%
noll vs Azucena 14–22 38.89%
noll vs Lili 15–20 42.86%
noll vs Asuka 11–21 34.38%
noll vs Bryan 8–21 27.59%
noll vs Jack-8 10–16 38.46%
noll vs Feng 3–20 13.04%
noll vs Devil Jin 3–18 14.29%
noll vs Yoshimitsu 4–13 23.53%
noll vs Alisa 7–9 43.75%
noll vs Shaheen 7–9 43.75%
noll vs Nina 5–11 31.25%
noll vs Lee 7–9 43.75%
noll vs Claudio 7–5 58.33%
noll vs Lidia 7–4 63.64%
noll vs Heihachi 1–10 9.09%
noll vs Eddy 2–8 20.00%
noll vs Xiaoyu 5–4 55.56%
noll vs Lars 1–8 11.11%
noll vs Leroy 2–6 25.00%
noll vs Steve 4–3 57.14%
noll vs Kuma 1–6 14.29%
noll vs Panda 2–3 40.00%
noll vs Raven 3–1 75.00%
noll vs Zafina 0–3 0.00%
noll vs Leo 2–0 100.00%

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.