Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

n0te
书是随身携带的花园。
용병 이진
_.s2k
oA_Eclipse
n0te vs Dragunov 14–20 41.18%
n0te vs Reina 19–14 57.58%
n0te vs King 16–13 55.17%
n0te vs Steve 12–15 44.44%
n0te vs Jin 16–10 61.54%
n0te vs Bryan 10–14 41.67%
n0te vs Nina 11–11 50.00%
n0te vs Yoshimitsu 11–9 55.00%
n0te vs Kazuya 10–10 50.00%
n0te vs Paul 4–13 23.53%
n0te vs Devil Jin 9–5 64.29%
n0te vs Jun 3–10 23.08%
n0te vs Eddy 2–11 15.38%
n0te vs Victor 6–4 60.00%
n0te vs Hwoarang 4–5 44.44%
n0te vs Jack-8 4–5 44.44%
n0te vs Lili 5–4 55.56%
n0te vs Kuma 3–6 33.33%
n0te vs Zafina 6–3 66.67%
n0te vs Azucena 6–3 66.67%
n0te vs Law 2–6 25.00%
n0te vs Shaheen 2–5 28.57%
n0te vs Feng 5–1 83.33%
n0te vs Alisa 4–2 66.67%
n0te vs Xiaoyu 2–3 40.00%
n0te vs Asuka 4–1 80.00%
n0te vs Lee 2–3 40.00%
n0te vs Claudio 2–2 50.00%
n0te vs Raven 3–1 75.00%
n0te vs Leo 1–2 33.33%
n0te vs Panda 0–2 0.00%
n0te vs Leroy 2–0 100.00%
n0te vs Lars 1–0 100.00%

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.