Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Nked Gandalf vs Kazuya 59–96 38.06%
Nked Gandalf vs Jin 70–52 57.38%
Nked Gandalf vs King 53–57 48.18%
Nked Gandalf vs Reina 48–59 44.86%
Nked Gandalf vs Bryan 32–62 34.04%
Nked Gandalf vs Paul 38–39 49.35%
Nked Gandalf vs Hwoarang 42–33 56.00%
Nked Gandalf vs Yoshimitsu 31–34 47.69%
Nked Gandalf vs Devil Jin 25–34 42.37%
Nked Gandalf vs Lili 28–30 48.28%
Nked Gandalf vs Steve 27–24 52.94%
Nked Gandalf vs Law 28–19 59.57%
Nked Gandalf vs Feng 19–27 41.30%
Nked Gandalf vs Dragunov 24–19 55.81%
Nked Gandalf vs Lee 18–24 42.86%
Nked Gandalf vs Nina 21–17 55.26%
Nked Gandalf vs Jun 20–15 57.14%
Nked Gandalf vs Asuka 11–22 33.33%
Nked Gandalf vs Victor 14–17 45.16%
Nked Gandalf vs Leo 10–20 33.33%
Nked Gandalf vs Azucena 9–21 30.00%
Nked Gandalf vs Lars 12–17 41.38%
Nked Gandalf vs Alisa 12–16 42.86%
Nked Gandalf vs Eddy 13–15 46.43%
Nked Gandalf vs Xiaoyu 13–13 50.00%
Nked Gandalf vs Raven 6–19 24.00%
Nked Gandalf vs Leroy 12–8 60.00%
Nked Gandalf vs Kuma 7–4 63.64%
Nked Gandalf vs Panda 6–5 54.55%
Nked Gandalf vs Shaheen 3–6 33.33%
Nked Gandalf vs Lidia 6–3 66.67%
Nked Gandalf vs Jack-8 4–4 50.00%
Nked Gandalf vs Claudio 6–2 75.00%
Nked Gandalf vs Zafina 2–3 40.00%
Nked Gandalf vs Heihachi 1–2 33.33%
Nked Gandalf vs Fahkumram 2–1 66.67%

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.