Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

marvelous vs Kazuya 56–26 68.29%
marvelous vs Jin 31–18 63.27%
marvelous vs Hwoarang 32–16 66.67%
marvelous vs Bryan 24–23 51.06%
marvelous vs King 19–19 50.00%
marvelous vs Steve 23–15 60.53%
marvelous vs Reina 27–10 72.97%
marvelous vs Dragunov 17–15 53.12%
marvelous vs Lidia 12–15 44.44%
marvelous vs Paul 17–9 65.38%
marvelous vs Clive 15–11 57.69%
marvelous vs Armor King 12–13 48.00%
marvelous vs Asuka 21–2 91.30%
marvelous vs Nina 13–8 61.90%
marvelous vs Heihachi 14–7 66.67%
marvelous vs Yoshimitsu 12–7 63.16%
marvelous vs Claudio 11–8 57.89%
marvelous vs Law 13–5 72.22%
marvelous vs Kuma 11–7 61.11%
marvelous vs Victor 12–6 66.67%
marvelous vs Devil Jin 10–7 58.82%
marvelous vs Lili 10–7 58.82%
marvelous vs Alisa 13–4 76.47%
marvelous vs Raven 9–6 60.00%
marvelous vs Feng 9–5 64.29%
marvelous vs Shaheen 6–7 46.15%
marvelous vs Jun 5–8 38.46%
marvelous vs Azucena 7–6 53.85%
marvelous vs Lars 4–7 36.36%
marvelous vs Leroy 7–4 63.64%
marvelous vs Jack-8 7–3 70.00%
marvelous vs Lee 5–4 55.56%
marvelous vs Leo 4–4 50.00%
marvelous vs Panda 2–4 33.33%
marvelous vs Zafina 6–0 100.00%
marvelous vs Xiaoyu 3–2 60.00%
marvelous vs Fahkumram 3–2 60.00%
marvelous vs Eddy 3–1 75.00%
marvelous vs Anna 2–1 66.67%
marvelous vs Miary Zo 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.