Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Spam to Win ig
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Ratings

Spam to Win ig vs Heihachi 26–25 50.98%
Spam to Win ig vs King 27–18 60.00%
Spam to Win ig vs Jin 23–20 53.49%
Spam to Win ig vs Kazuya 27–12–1 69.23%
Spam to Win ig vs Law 21–13 61.76%
Spam to Win ig vs Bryan 17–15 53.12%
Spam to Win ig vs Lars 22–9 70.97%
Spam to Win ig vs Eddy 17–11 60.71%
Spam to Win ig vs Dragunov 16–12 57.14%
Spam to Win ig vs Reina 17–11 60.71%
Spam to Win ig vs Jun 21–5 80.77%
Spam to Win ig vs Steve 11–14 44.00%
Spam to Win ig vs Lee 21–4 84.00%
Spam to Win ig vs Paul 16–8 66.67%
Spam to Win ig vs Lidia 15–8 65.22%
Spam to Win ig vs Hwoarang 15–6 71.43%
Spam to Win ig vs Victor 15–6 71.43%
Spam to Win ig vs Lili 14–6 70.00%
Spam to Win ig vs Yoshimitsu 13–5 72.22%
Spam to Win ig vs Devil Jin 11–6 64.71%
Spam to Win ig vs Azucena 12–5 70.59%
Spam to Win ig vs Nina 9–6 60.00%
Spam to Win ig vs Xiaoyu 9–5 64.29%
Spam to Win ig vs Jack-8 9–5 64.29%
Spam to Win ig vs Asuka 4–8 33.33%
Spam to Win ig vs Zafina 9–3 75.00%
Spam to Win ig vs Kuma 6–4 60.00%
Spam to Win ig vs Leo 6–4 60.00%
Spam to Win ig vs Claudio 5–5 50.00%
Spam to Win ig vs Feng 7–2 77.78%
Spam to Win ig vs Raven 4–4 50.00%
Spam to Win ig vs Shaheen 6–1 85.71%
Spam to Win ig vs Leroy 5–1 83.33%
Spam to Win ig vs Alisa 2–1 66.67%
Spam to Win ig vs Panda 2–0 100.00%

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.