Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Oscar vs King 24–30 44.44%
Oscar vs Jin 15–19–1 44.12%
Oscar vs Hwoarang 20–10 66.67%
Oscar vs Bryan 13–16 44.83%
Oscar vs Steve 18–11 62.07%
Oscar vs Jun 13–16 44.83%
Oscar vs Lili 15–11 57.69%
Oscar vs Law 15–10 60.00%
Oscar vs Yoshimitsu 11–14 44.00%
Oscar vs Reina 12–9 57.14%
Oscar vs Kazuya 6–14 30.00%
Oscar vs Victor 7–13 35.00%
Oscar vs Leo 7–9 43.75%
Oscar vs Lars 10–5 66.67%
Oscar vs Nina 10–5 66.67%
Oscar vs Dragunov 5–9 35.71%
Oscar vs Lee 7–7 50.00%
Oscar vs Asuka 9–4 69.23%
Oscar vs Azucena 6–7 46.15%
Oscar vs Paul 4–7 36.36%
Oscar vs Xiaoyu 4–7 36.36%
Oscar vs Alisa 5–6 45.45%
Oscar vs Kuma 6–5 54.55%
Oscar vs Jack-8 5–4 55.56%
Oscar vs Eddy 6–3 66.67%
Oscar vs Feng 1–6 14.29%
Oscar vs Lidia 1–6 14.29%
Oscar vs Shaheen 1–5 16.67%
Oscar vs Leroy 3–3 50.00%
Oscar vs Claudio 3–2 60.00%
Oscar vs Raven 5–0 100.00%
Oscar vs Devil Jin 2–2 50.00%
Oscar vs Panda 3–1 75.00%
Oscar vs Zafina 3–0 100.00%

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.