Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Rainfluff vs Kazuya 124–94 56.88%
Rainfluff vs Jin 85–94 47.49%
Rainfluff vs Hwoarang 73–71 50.69%
Rainfluff vs Reina 67–65 50.76%
Rainfluff vs King 58–69 45.67%
Rainfluff vs Bryan 74–53 58.27%
Rainfluff vs Heihachi 49–66 42.61%
Rainfluff vs Law 56–47 54.37%
Rainfluff vs Steve 46–44 51.11%
Rainfluff vs Eddy 40–44 47.62%
Rainfluff vs Paul 32–48 40.00%
Rainfluff vs Dragunov 30–43 41.10%
Rainfluff vs Lee 30–37 44.78%
Rainfluff vs Devil Jin 16–48 25.00%
Rainfluff vs Yoshimitsu 25–35 41.67%
Rainfluff vs Feng 27–25 51.92%
Rainfluff vs Alisa 24–28 46.15%
Rainfluff vs Azucena 32–20 61.54%
Rainfluff vs Nina 26–22 54.17%
Rainfluff vs Asuka 20–24 45.45%
Rainfluff vs Clive 15–26 36.59%
Rainfluff vs Xiaoyu 25–15 62.50%
Rainfluff vs Lars 20–20 50.00%
Rainfluff vs Lili 18–21 46.15%
Rainfluff vs Victor 17–15 53.12%
Rainfluff vs Raven 18–14 56.25%
Rainfluff vs Jun 12–16 42.86%
Rainfluff vs Leo 17–9 65.38%
Rainfluff vs Claudio 14–11 56.00%
Rainfluff vs Jack-8 11–12 47.83%
Rainfluff vs Lidia 7–16 30.43%
Rainfluff vs Zafina 5–10 33.33%
Rainfluff vs Leroy 6–9 40.00%
Rainfluff vs Kuma 6–6 50.00%
Rainfluff vs Armor King 4–5 44.44%
Rainfluff vs Panda 2–5 28.57%
Rainfluff vs Anna 2–5 28.57%
Rainfluff vs Shaheen 5–0 100.00%
Rainfluff 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.