Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

InfraredMoose vs King 16–22 42.11%
InfraredMoose vs Jin 20–16 55.56%
InfraredMoose vs Reina 16–13 55.17%
InfraredMoose vs Steve 7–21 25.00%
InfraredMoose vs Paul 11–16 40.74%
InfraredMoose vs Yoshimitsu 19–8 70.37%
InfraredMoose vs Eddy 17–10 62.96%
InfraredMoose vs Bryan 10–15 40.00%
InfraredMoose vs Lee 17–8 68.00%
InfraredMoose vs Kazuya 10–13 43.48%
InfraredMoose vs Dragunov 16–6 72.73%
InfraredMoose vs Hwoarang 12–7 63.16%
InfraredMoose vs Asuka 9–7 56.25%
InfraredMoose vs Lili 9–6 60.00%
InfraredMoose vs Nina 8–6 57.14%
InfraredMoose vs Law 8–5 61.54%
InfraredMoose vs Azucena 8–5 61.54%
InfraredMoose vs Leo 4–8 33.33%
InfraredMoose vs Feng 7–4 63.64%
InfraredMoose vs Victor 9–2 81.82%
InfraredMoose vs Alisa 6–4 60.00%
InfraredMoose vs Devil Jin 4–5 44.44%
InfraredMoose vs Clive 8–1 88.89%
InfraredMoose vs Claudio 4–4 50.00%
InfraredMoose vs Lars 4–3 57.14%
InfraredMoose vs Jun 6–1 85.71%
InfraredMoose vs Heihachi 3–4 42.86%
InfraredMoose vs Raven 2–4 33.33%
InfraredMoose vs Shaheen 4–1 80.00%
InfraredMoose vs Panda 4–1 80.00%
InfraredMoose vs Jack-8 2–2 50.00%
InfraredMoose vs Kuma 2–2 50.00%
InfraredMoose vs Zafina 2–2 50.00%
InfraredMoose vs Lidia 1–3 25.00%
InfraredMoose vs Xiaoyu 1–2 33.33%
InfraredMoose vs Leroy 1–2 33.33%

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.