Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

umut vs Eddy 21–15 58.33%
umut vs Jin 21–7 75.00%
umut vs Hwoarang 14–11 56.00%
umut vs Yoshimitsu 16–7 69.57%
umut vs Feng 12–9 57.14%
umut vs Kazuya 13–6 68.42%
umut vs Steve 11–5 68.75%
umut vs Reina 11–5 68.75%
umut vs Dragunov 10–3 76.92%
umut vs Lee 4–7 36.36%
umut vs Jun 6–5 54.55%
umut vs Paul 8–2 80.00%
umut vs Asuka 7–3 70.00%
umut vs Law 4–5 44.44%
umut vs King 4–5 44.44%
umut vs Lars 4–5 44.44%
umut vs Alisa 8–1 88.89%
umut vs Azucena 5–4 55.56%
umut vs Bryan 5–3 62.50%
umut vs Devil Jin 3–5 37.50%
umut vs Leo 1–6 14.29%
umut vs Claudio 5–1 83.33%
umut vs Nina 6–0 100.00%
umut vs Raven 3–3 50.00%
umut vs Jack-8 3–2 60.00%
umut vs Kuma 3–2 60.00%
umut vs Zafina 3–2 60.00%
umut vs Shaheen 2–2 50.00%
umut vs Leroy 1–3 25.00%
umut vs Xiaoyu 3–0 100.00%
umut vs Victor 3–0 100.00%
umut vs Lili 0–2 0.00%
umut vs Panda 0–1 0.00%
umut vs Clive 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.