Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Skyflame77

Ratings

Skyflame77 vs Kazuya 29–39 42.65%
Skyflame77 vs Bryan 36–23 61.02%
Skyflame77 vs King 31–17 64.58%
Skyflame77 vs Jin 30–17 63.83%
Skyflame77 vs Heihachi 19–27 41.30%
Skyflame77 vs Law 27–17 61.36%
Skyflame77 vs Reina 23–21 52.27%
Skyflame77 vs Hwoarang 15–22 40.54%
Skyflame77 vs Lili 21–16 56.76%
Skyflame77 vs Asuka 15–21 41.67%
Skyflame77 vs Lee 17–19 47.22%
Skyflame77 vs Steve 20–13 60.61%
Skyflame77 vs Dragunov 15–15 50.00%
Skyflame77 vs Azucena 19–9 67.86%
Skyflame77 vs Eddy 15–13 53.57%
Skyflame77 vs Yoshimitsu 12–15 44.44%
Skyflame77 vs Feng 9–16 36.00%
Skyflame77 vs Jun 12–13 48.00%
Skyflame77 vs Lars 11–13 45.83%
Skyflame77 vs Alisa 14–9 60.87%
Skyflame77 vs Leroy 13–10 56.52%
Skyflame77 vs Lidia 8–15 34.78%
Skyflame77 vs Devil Jin 12–10 54.55%
Skyflame77 vs Paul 13–8 61.90%
Skyflame77 vs Leo 12–9 57.14%
Skyflame77 vs Raven 12–5 70.59%
Skyflame77 vs Victor 6–10 37.50%
Skyflame77 vs Xiaoyu 7–8 46.67%
Skyflame77 vs Nina 5–10 33.33%
Skyflame77 vs Jack-8 7–6 53.85%
Skyflame77 vs Shaheen 8–5 61.54%
Skyflame77 vs Kuma 3–7 30.00%
Skyflame77 vs Claudio 3–4 42.86%
Skyflame77 vs Miary Zo 2–2 50.00%
Skyflame77 vs Clive 1–2 33.33%
Skyflame77 vs Zafina 2–0 100.00%
Skyflame77 vs Anna 0–2 0.00%
Skyflame77 vs Panda 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.