Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

pliskin
67% gmail
gmail
judgment kazzy
pliskin vs Heihachi 26–20 56.52%
pliskin vs Bryan 20–18 52.63%
pliskin vs Reina 20–18 52.63%
pliskin vs Kazuya 6–23 20.69%
pliskin vs King 8–15 34.78%
pliskin vs Jin 3–18 14.29%
pliskin vs Leroy 10–10 50.00%
pliskin vs Hwoarang 4–15 21.05%
pliskin vs Lili 10–8 55.56%
pliskin vs Paul 6–11 35.29%
pliskin vs Dragunov 5–12 29.41%
pliskin vs Lidia 9–8 52.94%
pliskin vs Jun 4–11 26.67%
pliskin vs Azucena 7–7 50.00%
pliskin vs Victor 1–11 8.33%
pliskin vs Lee 6–5 54.55%
pliskin vs Nina 5–5 50.00%
pliskin vs Law 3–6 33.33%
pliskin vs Asuka 4–5 44.44%
pliskin vs Steve 2–6 25.00%
pliskin vs Devil Jin 4–4 50.00%
pliskin vs Yoshimitsu 4–3 57.14%
pliskin vs Raven 1–6 14.29%
pliskin vs Eddy 2–4 33.33%
pliskin vs Lars 1–4 20.00%
pliskin vs Feng 1–3 25.00%
pliskin vs Kuma 1–2 33.33%
pliskin vs Panda 2–1 66.67%
pliskin vs Jack-8 2–0 100.00%
pliskin vs Clive 1–1 50.00%
pliskin vs Alisa 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.