Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Raindevoid vs Bryan 27–19 58.70%
Raindevoid vs Clive 21–24 46.67%
Raindevoid vs Kazuya 26–18 59.09%
Raindevoid vs King 20–22 47.62%
Raindevoid vs Eddy 23–17 57.50%
Raindevoid vs Law 20–17 54.05%
Raindevoid vs Jin 18–13 58.06%
Raindevoid vs Steve 17–13 56.67%
Raindevoid vs Azucena 19–8 70.37%
Raindevoid vs Paul 9–17 34.62%
Raindevoid vs Lili 15–9 62.50%
Raindevoid vs Dragunov 14–10 58.33%
Raindevoid vs Jun 12–8 60.00%
Raindevoid vs Asuka 7–12 36.84%
Raindevoid vs Lee 15–4 78.95%
Raindevoid vs Lidia 9–9 50.00%
Raindevoid vs Hwoarang 10–7 58.82%
Raindevoid vs Lars 11–6 64.71%
Raindevoid vs Heihachi 10–7 58.82%
Raindevoid vs Reina 10–5 66.67%
Raindevoid vs Kuma 10–4 71.43%
Raindevoid vs Nina 5–7 41.67%
Raindevoid vs Feng 5–6 45.45%
Raindevoid vs Victor 7–4 63.64%
Raindevoid vs Yoshimitsu 2–8 20.00%
Raindevoid vs Alisa 5–5 50.00%
Raindevoid vs Zafina 4–6 40.00%
Raindevoid vs Leroy 5–5 50.00%
Raindevoid vs Leo 2–7 22.22%
Raindevoid vs Anna 7–2 77.78%
Raindevoid vs Raven 3–4 42.86%
Raindevoid vs Jack-8 5–1 83.33%
Raindevoid vs Xiaoyu 4–1 80.00%
Raindevoid vs Devil Jin 1–4 20.00%
Raindevoid vs Shaheen 3–2 60.00%
Raindevoid vs Claudio 2–1 66.67%
Raindevoid vs Panda 1–2 33.33%
Raindevoid vs Fahkumram 0–3 0.00%
Raindevoid vs Miary Zo 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.