Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
SAIC

Ratings

SAIC vs King 5–14 26.32%
SAIC vs Hwoarang 5–12 29.41%
SAIC vs Law 12–4 75.00%
SAIC vs Jin 5–11 31.25%
SAIC vs Kazuya 7–7 50.00%
SAIC vs Heihachi 4–10 28.57%
SAIC vs Dragunov 3–9 25.00%
SAIC vs Jun 8–4 66.67%
SAIC vs Azucena 2–9 18.18%
SAIC vs Bryan 2–7 22.22%
SAIC vs Yoshimitsu 5–3 62.50%
SAIC vs Steve 1–7 12.50%
SAIC vs Reina 3–5 37.50%
SAIC vs Shaheen 3–4 42.86%
SAIC vs Victor 1–5 16.67%
SAIC vs Clive 2–4 33.33%
SAIC vs Xiaoyu 2–3 40.00%
SAIC vs Lars 3–1 75.00%
SAIC vs Claudio 2–2 50.00%
SAIC vs Leroy 2–1 66.67%
SAIC vs Lidia 1–2 33.33%
SAIC vs Asuka 1–1 50.00%
SAIC vs Devil Jin 2–0 100.00%
SAIC vs Feng 2–0 100.00%
SAIC vs Leo 0–2 0.00%
SAIC vs Nina 2–0 100.00%
SAIC vs Lee 2–0 100.00%
SAIC vs Kuma 0–2 0.00%
SAIC vs Jack-8 0–1 0.00%
SAIC vs Alisa 0–1 0.00%
SAIC vs Panda 0–1 0.00%
SAIC vs Zafina 0–1 0.00%
SAIC vs Eddy 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.