Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

AirWolfOne vs Heihachi 24–26 48.00%
AirWolfOne vs Reina 35–10 77.78%
AirWolfOne vs King 26–16 61.90%
AirWolfOne vs Jin 28–11 71.79%
AirWolfOne vs Kazuya 25–11 69.44%
AirWolfOne vs Hwoarang 25–7 78.12%
AirWolfOne vs Victor 20–12 62.50%
AirWolfOne vs Bryan 18–9 66.67%
AirWolfOne vs Lili 16–11 59.26%
AirWolfOne vs Steve 19–6 76.00%
AirWolfOne vs Leo 14–11 56.00%
AirWolfOne vs Law 13–10 56.52%
AirWolfOne vs Eddy 17–5 77.27%
AirWolfOne vs Paul 12–9 57.14%
AirWolfOne vs Devil Jin 7–13 35.00%
AirWolfOne vs Nina 16–4 80.00%
AirWolfOne vs Yoshimitsu 11–5 68.75%
AirWolfOne vs Jun 11–5 68.75%
AirWolfOne vs Lee 12–3 80.00%
AirWolfOne vs Lidia 14–0 100.00%
AirWolfOne vs Armor King 5–9 35.71%
AirWolfOne vs Lars 7–6 53.85%
AirWolfOne vs Clive 9–4 69.23%
AirWolfOne vs Xiaoyu 7–4 63.64%
AirWolfOne vs Dragunov 9–2 81.82%
AirWolfOne vs Alisa 4–7 36.36%
AirWolfOne vs Feng 7–2 77.78%
AirWolfOne vs Raven 7–2 77.78%
AirWolfOne vs Asuka 8–0 100.00%
AirWolfOne vs Leroy 6–2 75.00%
AirWolfOne vs Jack-8 4–3 57.14%
AirWolfOne vs Miary Zo 3–4 42.86%
AirWolfOne vs Azucena 3–1 75.00%
AirWolfOne vs Claudio 1–2 33.33%
AirWolfOne vs Shaheen 0–3 0.00%
AirWolfOne vs Panda 2–1 66.67%
AirWolfOne vs Kuma 2–0 100.00%
AirWolfOne vs Anna 2–0 100.00%
AirWolfOne vs Zafina 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.