Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

laggingrn vs Heihachi 20–12 62.50%
laggingrn vs Reina 16–10 61.54%
laggingrn vs King 3–11 21.43%
laggingrn vs Jin 3–10 23.08%
laggingrn vs Lars 5–6 45.45%
laggingrn vs Kazuya 5–5 50.00%
laggingrn vs Leo 6–4 60.00%
laggingrn vs Victor 7–3 70.00%
laggingrn vs Paul 4–5 44.44%
laggingrn vs Hwoarang 2–7 22.22%
laggingrn vs Yoshimitsu 2–6 25.00%
laggingrn vs Jack-8 6–2 75.00%
laggingrn vs Asuka 2–5 28.57%
laggingrn vs Nina 1–5 16.67%
laggingrn vs Bryan 2–3 40.00%
laggingrn vs Steve 4–1 80.00%
laggingrn vs Lili 3–2 60.00%
laggingrn vs Zafina 2–3 40.00%
laggingrn vs Azucena 4–1 80.00%
laggingrn vs Lidia 1–4 20.00%
laggingrn vs Lee 2–2 50.00%
laggingrn vs Law 1–2 33.33%
laggingrn vs Devil Jin 2–1 66.67%
laggingrn vs Dragunov 1–2 33.33%
laggingrn vs Alisa 0–3 0.00%
laggingrn vs Leroy 1–2 33.33%
laggingrn vs Eddy 1–2 33.33%
laggingrn vs Panda 0–2 0.00%
laggingrn vs Jun 1–1 50.00%
laggingrn vs Shaheen 1–0 100.00%
laggingrn vs Kuma 0–1 0.00%
laggingrn vs Raven 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.