Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

playtekken
playingforfun
Taob
playtekken vs Lars 5–13 27.78%
playtekken vs Feng 12–5 70.59%
playtekken vs King 11–5 68.75%
playtekken vs Jin 11–5 68.75%
playtekken vs Alisa 9–5 64.29%
playtekken vs Lee 7–7 50.00%
playtekken vs Azucena 8–5 61.54%
playtekken vs Dragunov 8–4 66.67%
playtekken vs Yoshimitsu 6–4 60.00%
playtekken vs Victor 2–8 20.00%
playtekken vs Steve 5–4 55.56%
playtekken vs Hwoarang 5–3 62.50%
playtekken vs Xiaoyu 3–5 37.50%
playtekken vs Bryan 4–4 50.00%
playtekken vs Leo 5–3 62.50%
playtekken vs Raven 5–1 83.33%
playtekken vs Eddy 2–4 33.33%
playtekken vs Jun 4–1 80.00%
playtekken vs Shaheen 2–2 50.00%
playtekken vs Reina 4–0 100.00%
playtekken vs Jack-8 1–2 33.33%
playtekken vs Lili 2–1 66.67%
playtekken vs Claudio 2–1 66.67%
playtekken vs Kazuya 0–2 0.00%
playtekken vs Devil Jin 2–0 100.00%
playtekken vs Kuma 0–2 0.00%
playtekken vs Lidia 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.