Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

learscity vs King 22–20 52.38%
learscity vs Kazuya 14–23 37.84%
learscity vs Jin 22–14 61.11%
learscity vs Eddy 15–17 46.88%
learscity vs Hwoarang 17–14 54.84%
learscity vs Bryan 13–15 46.43%
learscity vs Dragunov 16–12 57.14%
learscity vs Azucena 12–16 42.86%
learscity vs Victor 8–17 32.00%
learscity vs Law 12–11 52.17%
learscity vs Feng 11–9 55.00%
learscity vs Yoshimitsu 11–8 57.89%
learscity vs Devil Jin 11–7 61.11%
learscity vs Jun 9–7 56.25%
learscity vs Alisa 4–11 26.67%
learscity vs Steve 6–8 42.86%
learscity vs Lili 4–10 28.57%
learscity vs Nina 4–10 28.57%
learscity vs Lee 7–6 53.85%
learscity vs Leroy 7–6 53.85%
learscity vs Paul 9–3 75.00%
learscity vs Jack-8 6–6 50.00%
learscity vs Reina 7–5 58.33%
learscity vs Asuka 3–7 30.00%
learscity vs Leo 2–7 22.22%
learscity vs Lars 6–2 75.00%
learscity vs Xiaoyu 3–3 50.00%
learscity vs Claudio 2–3 40.00%
learscity vs Raven 0–3 0.00%
learscity vs Shaheen 2–0 100.00%
learscity vs Kuma 0–2 0.00%
learscity vs Zafina 1–1 50.00%

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.