Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Nerf Xiaoyu vs Jin 18–6 75.00%
Nerf Xiaoyu vs Bryan 18–5 78.26%
Nerf Xiaoyu vs Kazuya 18–4 81.82%
Nerf Xiaoyu vs Reina 17–5 77.27%
Nerf Xiaoyu vs Dragunov 11–10 52.38%
Nerf Xiaoyu vs Armor King 15–6 71.43%
Nerf Xiaoyu vs Fahkumram 14–6 70.00%
Nerf Xiaoyu vs Lee 15–3 83.33%
Nerf Xiaoyu vs King 13–4 76.47%
Nerf Xiaoyu vs Steve 10–5 66.67%
Nerf Xiaoyu vs Yoshimitsu 11–3 78.57%
Nerf Xiaoyu vs Paul 9–4 69.23%
Nerf Xiaoyu vs Hwoarang 9–3 75.00%
Nerf Xiaoyu vs Law 5–4 55.56%
Nerf Xiaoyu vs Jack-8 3–5 37.50%
Nerf Xiaoyu vs Devil Jin 7–1 87.50%
Nerf Xiaoyu vs Feng 6–2 75.00%
Nerf Xiaoyu vs Eddy 5–3 62.50%
Nerf Xiaoyu vs Heihachi 7–1 87.50%
Nerf Xiaoyu vs Alisa 7–0 100.00%
Nerf Xiaoyu vs Jun 4–3 57.14%
Nerf Xiaoyu vs Asuka 6–0 100.00%
Nerf Xiaoyu vs Anna 5–1 83.33%
Nerf Xiaoyu vs Leo 4–1 80.00%
Nerf Xiaoyu vs Kuma 4–1 80.00%
Nerf Xiaoyu vs Leroy 4–1 80.00%
Nerf Xiaoyu vs Claudio 2–2 50.00%
Nerf Xiaoyu vs Clive 4–0 100.00%
Nerf Xiaoyu vs Lars 1–2 33.33%
Nerf Xiaoyu vs Azucena 2–1 66.67%
Nerf Xiaoyu vs Nina 2–0 100.00%
Nerf Xiaoyu vs Panda 2–0 100.00%
Nerf Xiaoyu vs Zafina 2–0 100.00%
Nerf Xiaoyu vs Victor 1–1 50.00%
Nerf Xiaoyu vs Lidia 2–0 100.00%
Nerf Xiaoyu vs Miary Zo 2–0 100.00%
Nerf Xiaoyu vs Lili 1–0 100.00%
Nerf Xiaoyu vs Shaheen 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.