Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
UNI PLAYER

Ratings

UNI PLAYER vs Alisa 17–6 73.91%
UNI PLAYER vs Kazuya 8–10 44.44%
UNI PLAYER vs Leo 9–9 50.00%
UNI PLAYER vs King 10–6 62.50%
UNI PLAYER vs Lili 6–8 42.86%
UNI PLAYER vs Jun 6–6 50.00%
UNI PLAYER vs Reina 6–6 50.00%
UNI PLAYER vs Asuka 4–7 36.36%
UNI PLAYER vs Devil Jin 7–4 63.64%
UNI PLAYER vs Hwoarang 4–6 40.00%
UNI PLAYER vs Dragunov 6–4 60.00%
UNI PLAYER vs Paul 6–3 66.67%
UNI PLAYER vs Xiaoyu 4–5 44.44%
UNI PLAYER vs Bryan 6–3 66.67%
UNI PLAYER vs Lars 4–5 44.44%
UNI PLAYER vs Claudio 3–5 37.50%
UNI PLAYER vs Nina 4–4 50.00%
UNI PLAYER vs Azucena 3–5 37.50%
UNI PLAYER vs Clive 3–5 37.50%
UNI PLAYER vs Yoshimitsu 2–5 28.57%
UNI PLAYER vs Jack-8 5–2 71.43%
UNI PLAYER vs Law 2–4 33.33%
UNI PLAYER vs Zafina 3–3 50.00%
UNI PLAYER vs Lidia 5–1 83.33%
UNI PLAYER vs Feng 1–4 20.00%
UNI PLAYER vs Lee 3–2 60.00%
UNI PLAYER vs Anna 3–2 60.00%
UNI PLAYER vs Victor 1–3 25.00%
UNI PLAYER vs Eddy 1–3 25.00%
UNI PLAYER vs Jin 3–0 100.00%
UNI PLAYER vs Kuma 2–1 66.67%
UNI PLAYER vs Panda 2–1 66.67%
UNI PLAYER vs Steve 0–2 0.00%
UNI PLAYER vs Heihachi 1–0 100.00%

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.