Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Kibbles vs King 18–15 54.55%
Kibbles vs Jin 18–14 56.25%
Kibbles vs Azucena 11–12 47.83%
Kibbles vs Eddy 14–8 63.64%
Kibbles vs Steve 10–9 52.63%
Kibbles vs Jun 10–9 52.63%
Kibbles vs Bryan 9–9 50.00%
Kibbles vs Xiaoyu 8–9 47.06%
Kibbles vs Victor 10–7 58.82%
Kibbles vs Law 10–4 71.43%
Kibbles vs Nina 10–4 71.43%
Kibbles vs Reina 7–7 50.00%
Kibbles vs Kazuya 4–8 33.33%
Kibbles vs Asuka 3–8 27.27%
Kibbles vs Feng 6–5 54.55%
Kibbles vs Dragunov 4–7 36.36%
Kibbles vs Paul 5–5 50.00%
Kibbles vs Yoshimitsu 5–5 50.00%
Kibbles vs Hwoarang 2–8 20.00%
Kibbles vs Lili 4–6 40.00%
Kibbles vs Leo 3–6 33.33%
Kibbles vs Lee 3–6 33.33%
Kibbles vs Kuma 6–3 66.67%
Kibbles vs Devil Jin 2–6 25.00%
Kibbles vs Lars 4–3 57.14%
Kibbles vs Alisa 3–1 75.00%
Kibbles vs Panda 1–3 25.00%
Kibbles vs Raven 2–2 50.00%
Kibbles vs Claudio 2–1 66.67%
Kibbles vs Shaheen 2–1 66.67%
Kibbles vs Leroy 2–0 100.00%
Kibbles vs Jack-8 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.