Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Ravenda09 vs Paul 45–26 63.38%
Ravenda09 vs Hwoarang 38–18 67.86%
Ravenda09 vs Kazuya 30–25 54.55%
Ravenda09 vs Reina 34–15 69.39%
Ravenda09 vs King 22–20 52.38%
Ravenda09 vs Bryan 16–20 44.44%
Ravenda09 vs Steve 24–12 66.67%
Ravenda09 vs Jin 14–21 40.00%
Ravenda09 vs Asuka 19–15 55.88%
Ravenda09 vs Dragunov 11–17 39.29%
Ravenda09 vs Clive 11–15 42.31%
Ravenda09 vs Alisa 13–10 56.52%
Ravenda09 vs Yoshimitsu 9–13 40.91%
Ravenda09 vs Jack-8 12–9 57.14%
Ravenda09 vs Feng 11–9 55.00%
Ravenda09 vs Victor 12–8 60.00%
Ravenda09 vs Heihachi 9–11 45.00%
Ravenda09 vs Lili 9–10 47.37%
Ravenda09 vs Law 9–9 50.00%
Ravenda09 vs Nina 9–8–1 52.94%
Ravenda09 vs Devil Jin 9–8 52.94%
Ravenda09 vs Jun 7–10 41.18%
Ravenda09 vs Claudio 5–9 35.71%
Ravenda09 vs Xiaoyu 9–4 69.23%
Ravenda09 vs Lee 7–6 53.85%
Ravenda09 vs Azucena 6–7 46.15%
Ravenda09 vs Lidia 8–5 61.54%
Ravenda09 vs Leo 4–8 33.33%
Ravenda09 vs Eddy 4–6 40.00%
Ravenda09 vs Leroy 2–6 25.00%
Ravenda09 vs Lars 3–3 50.00%
Ravenda09 vs Zafina 2–3 40.00%
Ravenda09 vs Raven 1–4 20.00%
Ravenda09 vs Shaheen 3–1 75.00%
Ravenda09 vs Kuma 1–2 33.33%
Ravenda09 vs Anna 2–1 66.67%
Ravenda09 vs Armor King 2–1 66.67%
Ravenda09 vs Miary Zo 1–1 50.00%
Ravenda09 vs Panda 0–1 0.00%
Ravenda09 vs Fahkumram 0–1 0.00%

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.