Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
afl@toon

Ratings

afl@toon vs Heihachi 17–39 30.36%
afl@toon vs King 20–25 44.44%
afl@toon vs Jin 14–20 41.18%
afl@toon vs Kazuya 14–19 42.42%
afl@toon vs Law 5–27 15.62%
afl@toon vs Azucena 14–17 45.16%
afl@toon vs Reina 10–17 37.04%
afl@toon vs Dragunov 6–15 28.57%
afl@toon vs Alisa 12–9 57.14%
afl@toon vs Nina 8–13 38.10%
afl@toon vs Paul 6–14 30.00%
afl@toon vs Bryan 5–15 25.00%
afl@toon vs Victor 10–9 52.63%
afl@toon vs Hwoarang 5–10 33.33%
afl@toon vs Steve 4–9 30.77%
afl@toon vs Jun 5–8 38.46%
afl@toon vs Yoshimitsu 3–8 27.27%
afl@toon vs Lidia 6–5 54.55%
afl@toon vs Lars 1–8 11.11%
afl@toon vs Eddy 5–3 62.50%
afl@toon vs Lili 2–5 28.57%
afl@toon vs Shaheen 6–1 85.71%
afl@toon vs Devil Jin 0–6 0.00%
afl@toon vs Feng 0–6 0.00%
afl@toon vs Leroy 1–5 16.67%
afl@toon vs Kuma 2–3 40.00%
afl@toon vs Asuka 1–3 25.00%
afl@toon vs Raven 1–3 25.00%
afl@toon vs Leo 2–1 66.67%
afl@toon vs Claudio 2–1 66.67%
afl@toon vs Xiaoyu 0–2 0.00%
afl@toon 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.