Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Kibill vs Reina 15–4 78.95%
Kibill vs Bryan 4–10 28.57%
Kibill vs Dragunov 12–2 85.71%
Kibill vs Heihachi 9–5 64.29%
Kibill vs Steve 8–5 61.54%
Kibill vs Hwoarang 7–4 63.64%
Kibill vs Kazuya 7–4 63.64%
Kibill vs Lee 6–5 54.55%
Kibill vs King 9–1 90.00%
Kibill vs Jin 5–4 55.56%
Kibill vs Xiaoyu 4–3 57.14%
Kibill vs Lili 6–1 85.71%
Kibill vs Law 5–1 83.33%
Kibill vs Armor King 5–1 83.33%
Kibill vs Paul 2–3 40.00%
Kibill vs Devil Jin 2–3 40.00%
Kibill vs Alisa 1–4 20.00%
Kibill vs Fahkumram 4–1 80.00%
Kibill vs Lidia 2–2 50.00%
Kibill vs Yoshimitsu 2–1 66.67%
Kibill vs Leo 1–2 33.33%
Kibill vs Lars 1–2 33.33%
Kibill vs Shaheen 1–2 33.33%
Kibill vs Miary Zo 3–0 100.00%
Kibill vs Asuka 2–0 100.00%
Kibill vs Eddy 2–0 100.00%
Kibill vs Clive 0–2 0.00%
Kibill vs Claudio 1–0 100.00%
Kibill vs Anna 0–1 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.