Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

BTB | n4rdy.
Nero.
Atsushi
BTB | n4rdy. vs Jin 37–26 58.73%
BTB | n4rdy. vs King 32–29 52.46%
BTB | n4rdy. vs Dragunov 25–36 40.98%
BTB | n4rdy. vs Reina 35–19 64.81%
BTB | n4rdy. vs Kazuya 32–15 68.09%
BTB | n4rdy. vs Paul 23–21 52.27%
BTB | n4rdy. vs Victor 24–16 60.00%
BTB | n4rdy. vs Steve 21–16 56.76%
BTB | n4rdy. vs Hwoarang 15–20 42.86%
BTB | n4rdy. vs Jun 15–16 48.39%
BTB | n4rdy. vs Lidia 16–15 51.61%
BTB | n4rdy. vs Asuka 12–18 40.00%
BTB | n4rdy. vs Heihachi 20–8 71.43%
BTB | n4rdy. vs Bryan 11–14 44.00%
BTB | n4rdy. vs Devil Jin 11–12 47.83%
BTB | n4rdy. vs Yoshimitsu 15–7 68.18%
BTB | n4rdy. vs Lili 7–15 31.82%
BTB | n4rdy. vs Azucena 14–8 63.64%
BTB | n4rdy. vs Law 12–9 57.14%
BTB | n4rdy. vs Clive 10–11 47.62%
BTB | n4rdy. vs Claudio 7–11 38.89%
BTB | n4rdy. vs Lars 7–8 46.67%
BTB | n4rdy. vs Lee 7–8 46.67%
BTB | n4rdy. vs Leo 6–8 42.86%
BTB | n4rdy. vs Alisa 8–5 61.54%
BTB | n4rdy. vs Xiaoyu 7–3 70.00%
BTB | n4rdy. vs Zafina 4–5 44.44%
BTB | n4rdy. vs Feng 4–3 57.14%
BTB | n4rdy. vs Kuma 3–4 42.86%
BTB | n4rdy. vs Jack-8 2–4 33.33%
BTB | n4rdy. vs Raven 1–5 16.67%
BTB | n4rdy. vs Panda 2–3 40.00%
BTB | n4rdy. vs Nina 0–4 0.00%
BTB | n4rdy. vs Leroy 1–2 33.33%
BTB | n4rdy. vs Eddy 0–3 0.00%
BTB | n4rdy. vs Shaheen 0–1 0.00%

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.