Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

slide vs Reina 25–28 47.17%
slide vs Hwoarang 12–30 28.57%
slide vs King 14–26 35.00%
slide vs Kazuya 20–20 50.00%
slide vs Dragunov 15–17 46.88%
slide vs Victor 16–15 51.61%
slide vs Steve 13–16 44.83%
slide vs Jin 10–18 35.71%
slide vs Asuka 9–18 33.33%
slide vs Lili 12–14 46.15%
slide vs Paul 9–16 36.00%
slide vs Bryan 7–12 36.84%
slide vs Yoshimitsu 9–8 52.94%
slide vs Eddy 9–8 52.94%
slide vs Lidia 8–9 47.06%
slide vs Jun 7–9 43.75%
slide vs Devil Jin 6–9 40.00%
slide vs Law 6–7 46.15%
slide vs Azucena 6–7 46.15%
slide vs Feng 5–5 50.00%
slide vs Lars 4–6 40.00%
slide vs Clive 3–7 30.00%
slide vs Leo 4–5 44.44%
slide vs Nina 3–6 33.33%
slide vs Alisa 1–5 16.67%
slide vs Shaheen 4–2 66.67%
slide vs Panda 1–5 16.67%
slide vs Lee 5–0 100.00%
slide vs Jack-8 2–2 50.00%
slide vs Claudio 3–1 75.00%
slide vs Xiaoyu 1–2 33.33%
slide vs Heihachi 2–1 66.67%
slide vs Leroy 2–0 100.00%
slide vs Raven 0–2 0.00%
slide vs Fahkumram 0–2 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.