Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

neon vs Kazuya 45–11 80.36%
neon vs Steve 26–6 81.25%
neon vs Reina 23–7 76.67%
neon vs Jin 17–6 73.91%
neon vs Devil Jin 13–9 59.09%
neon vs Eddy 13–9 59.09%
neon vs King 10–8 55.56%
neon vs Jun 10–6 62.50%
neon vs Yoshimitsu 10–5 66.67%
neon vs Xiaoyu 10–5 66.67%
neon vs Hwoarang 11–2–1 84.62%
neon vs Bryan 10–4 71.43%
neon vs Lili 8–6 57.14%
neon vs Dragunov 12–2 85.71%
neon vs Azucena 10–3 76.92%
neon vs Leo 7–4 63.64%
neon vs Alisa 8–3 72.73%
neon vs Victor 6–5 54.55%
neon vs Heihachi 5–6 45.45%
neon vs Armor King 8–3 72.73%
neon vs Jack-8 6–4 60.00%
neon vs Asuka 8–2 80.00%
neon vs Lee 7–2 77.78%
neon vs Lars 7–1 87.50%
neon vs Law 3–4 42.86%
neon vs Zafina 5–2 71.43%
neon vs Nina 4–2 66.67%
neon vs Lidia 2–4 33.33%
neon vs Kuma 4–1 80.00%
neon vs Paul 2–2 50.00%
neon vs Leroy 2–2 50.00%
neon vs Claudio 2–1 66.67%
neon vs Shaheen 3–0 100.00%
neon vs Panda 2–1 66.67%
neon vs Feng 2–0 100.00%
neon vs Raven 2–0 100.00%
neon vs Anna 2–0 100.00%

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.