Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

mclane85 vs Reina 9–12 42.86%
mclane85 vs Kazuya 11–5 68.75%
mclane85 vs Bryan 5–6 45.45%
mclane85 vs Jun 7–4 63.64%
mclane85 vs Lili 10–1 90.91%
mclane85 vs King 4–5 44.44%
mclane85 vs Yoshimitsu 4–5 44.44%
mclane85 vs Jin 5–4 55.56%
mclane85 vs Lidia 9–0 100.00%
mclane85 vs Asuka 4–3 57.14%
mclane85 vs Nina 3–4 42.86%
mclane85 vs Hwoarang 6–1 85.71%
mclane85 vs Kuma 3–4 42.86%
mclane85 vs Azucena 2–5 28.57%
mclane85 vs Law 3–3 50.00%
mclane85 vs Lee 3–3 50.00%
mclane85 vs Victor 3–3 50.00%
mclane85 vs Dragunov 4–2 66.67%
mclane85 vs Steve 3–2 60.00%
mclane85 vs Eddy 3–1 75.00%
mclane85 vs Alisa 2–2 50.00%
mclane85 vs Xiaoyu 3–0 100.00%
mclane85 vs Devil Jin 1–2 33.33%
mclane85 vs Feng 2–1 66.67%
mclane85 vs Paul 0–2 0.00%
mclane85 vs Heihachi 1–1 50.00%
mclane85 vs Leroy 0–1 0.00%
mclane85 vs Claudio 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.