Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Marvelous vs Armor King 28–47 37.33%
Marvelous vs King 14–46 23.33%
Marvelous vs Law 22–34 39.29%
Marvelous vs Dragunov 12–30 28.57%
Marvelous vs Steve 16–25 39.02%
Marvelous vs Reina 19–20 48.72%
Marvelous vs Kazuya 11–24 31.43%
Marvelous vs Jin 12–21 36.36%
Marvelous vs Azucena 8–20 28.57%
Marvelous vs Devil Jin 12–13 48.00%
Marvelous vs Claudio 12–13 48.00%
Marvelous vs Clive 6–18 25.00%
Marvelous vs Hwoarang 8–15 34.78%
Marvelous vs Heihachi 8–14 36.36%
Marvelous vs Eddy 6–15 28.57%
Marvelous vs Lili 5–15 25.00%
Marvelous vs Lars 5–15 25.00%
Marvelous vs Asuka 7–12 36.84%
Marvelous vs Nina 8–11 42.11%
Marvelous vs Jun 9–10 47.37%
Marvelous vs Bryan 5–12 29.41%
Marvelous vs Yoshimitsu 2–14 12.50%
Marvelous vs Victor 7–8 46.67%
Marvelous vs Lee 5–9 35.71%
Marvelous vs Xiaoyu 5–7 41.67%
Marvelous vs Paul 3–8 27.27%
Marvelous vs Fahkumram 4–7 36.36%
Marvelous vs Jack-8 4–6 40.00%
Marvelous vs Raven 3–7 30.00%
Marvelous vs Alisa 3–6 33.33%
Marvelous vs Anna 0–9 0.00%
Marvelous vs Leo 1–7 12.50%
Marvelous vs Lidia 5–3 62.50%
Marvelous vs Miary Zo 3–5 37.50%
Marvelous vs Feng 1–6 14.29%
Marvelous vs Shaheen 3–3 50.00%
Marvelous vs Kuma 2–4 33.33%
Marvelous vs Leroy 1–4 20.00%
Marvelous vs Zafina 4–0 100.00%
Marvelous vs Panda 0–3 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.