Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

omiq vs Dragunov 30–30 50.00%
omiq vs Reina 26–23–1 53.06%
omiq vs Jin 25–19 56.82%
omiq vs King 11–32 25.58%
omiq vs Kazuya 24–14 63.16%
omiq vs Hwoarang 8–22 26.67%
omiq vs Azucena 19–10 65.52%
omiq vs Bryan 9–19 32.14%
omiq vs Paul 15–11 57.69%
omiq vs Asuka 9–16 36.00%
omiq vs Jun 9–16 36.00%
omiq vs Victor 12–13 48.00%
omiq vs Lili 8–16 33.33%
omiq vs Law 12–9 57.14%
omiq vs Steve 12–6 66.67%
omiq vs Yoshimitsu 7–9 43.75%
omiq vs Xiaoyu 7–7 50.00%
omiq vs Lars 6–8 42.86%
omiq vs Alisa 4–10 28.57%
omiq vs Leroy 5–7 41.67%
omiq vs Feng 5–5 50.00%
omiq vs Leo 7–3 70.00%
omiq vs Claudio 3–7 30.00%
omiq vs Devil Jin 5–3 62.50%
omiq vs Eddy 0–8 0.00%
omiq vs Nina 2–5 28.57%
omiq vs Raven 4–3 57.14%
omiq vs Shaheen 1–3 25.00%
omiq vs Lee 0–4 0.00%
omiq vs Jack-8 1–2 33.33%
omiq vs Kuma 3–0 100.00%
omiq vs Zafina 0–3 0.00%
omiq vs Panda 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.