Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Lilm vs Reina 35–35 50.00%
Lilm vs Jin 27–37 42.19%
Lilm vs Kazuya 28–30 48.28%
Lilm vs King 27–27 50.00%
Lilm vs Victor 14–17 45.16%
Lilm vs Steve 19–11 63.33%
Lilm vs Asuka 15–15 50.00%
Lilm vs Dragunov 9–19 32.14%
Lilm vs Hwoarang 11–12 47.83%
Lilm vs Paul 4–18 18.18%
Lilm vs Alisa 9–13 40.91%
Lilm vs Claudio 9–13 40.91%
Lilm vs Eddy 9–12 42.86%
Lilm vs Law 2–18 10.00%
Lilm vs Yoshimitsu 3–16 15.79%
Lilm vs Lili 8–11 42.11%
Lilm vs Devil Jin 10–8 55.56%
Lilm vs Azucena 5–13 27.78%
Lilm vs Lidia 6–11 35.29%
Lilm vs Raven 8–7 53.33%
Lilm vs Feng 4–9 30.77%
Lilm vs Bryan 5–7 41.67%
Lilm vs Jun 4–8 33.33%
Lilm vs Kuma 3–8 27.27%
Lilm vs Xiaoyu 3–7 30.00%
Lilm vs Jack-8 5–5 50.00%
Lilm vs Nina 4–5 44.44%
Lilm vs Shaheen 4–4 50.00%
Lilm vs Leroy 1–7 12.50%
Lilm vs Lee 1–4 20.00%
Lilm vs Leo 2–2 50.00%
Lilm vs Lars 2–2 50.00%
Lilm vs Panda 2–1 66.67%
Lilm vs Zafina 0–2 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.