Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Unibar vs Lidia 19–18 51.35%
Unibar vs Paul 12–15 44.44%
Unibar vs Kazuya 16–11 59.26%
Unibar vs Dragunov 17–9 65.38%
Unibar vs King 10–14 41.67%
Unibar vs Victor 13–10 56.52%
Unibar vs Jin 12–7 63.16%
Unibar vs Lili 9–6 60.00%
Unibar vs Law 7–6 53.85%
Unibar vs Asuka 6–7 46.15%
Unibar vs Reina 7–6 53.85%
Unibar vs Bryan 8–4 66.67%
Unibar vs Feng 8–3 72.73%
Unibar vs Eddy 6–5 54.55%
Unibar vs Hwoarang 4–5 44.44%
Unibar vs Xiaoyu 4–5 44.44%
Unibar vs Alisa 7–2 77.78%
Unibar vs Yoshimitsu 5–3 62.50%
Unibar vs Devil Jin 4–4 50.00%
Unibar vs Lars 1–7 12.50%
Unibar vs Jun 4–4 50.00%
Unibar vs Azucena 4–4 50.00%
Unibar vs Raven 5–3 62.50%
Unibar vs Steve 4–3 57.14%
Unibar vs Jack-8 3–3 50.00%
Unibar vs Claudio 2–4 33.33%
Unibar vs Nina 2–4 33.33%
Unibar vs Lee 4–2 66.67%
Unibar vs Leo 3–2 60.00%
Unibar vs Zafina 4–1 80.00%
Unibar vs Leroy 4–0 100.00%
Unibar vs Kuma 2–1 66.67%
Unibar vs Panda 1–2 33.33%
Unibar vs Shaheen 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.