Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

processorcity vs Jin 37–34 52.11%
processorcity vs King 30–32 48.39%
processorcity vs Reina 21–31 40.38%
processorcity vs Kazuya 29–16 64.44%
processorcity vs Lili 19–19 50.00%
processorcity vs Steve 18–18 50.00%
processorcity vs Dragunov 21–14 60.00%
processorcity vs Eddy 9–25 26.47%
processorcity vs Yoshimitsu 18–10 64.29%
processorcity vs Devil Jin 14–14 50.00%
processorcity vs Hwoarang 11–13 45.83%
processorcity vs Law 8–15 34.78%
processorcity vs Bryan 13–10 56.52%
processorcity vs Nina 8–14 36.36%
processorcity vs Paul 9–12 42.86%
processorcity vs Leroy 9–12 42.86%
processorcity vs Azucena 9–12 42.86%
processorcity vs Feng 12–7 63.16%
processorcity vs Jun 10–9 52.63%
processorcity vs Asuka 6–12 33.33%
processorcity vs Alisa 13–5 72.22%
processorcity vs Jack-8 11–6 64.71%
processorcity vs Lars 8–9 47.06%
processorcity vs Leo 7–8 46.67%
processorcity vs Lee 3–12 20.00%
processorcity vs Victor 5–8 38.46%
processorcity vs Claudio 5–5 50.00%
processorcity vs Xiaoyu 5–4 55.56%
processorcity vs Shaheen 1–5 16.67%
processorcity vs Kuma 1–4 20.00%
processorcity vs Zafina 2–3 40.00%
processorcity vs Raven 1–4 20.00%
processorcity vs Panda 0–2 0.00%
processorcity vs Lidia 1–1 50.00%

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.