Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

FGHQ|Mall vs Jin 30–25 54.55%
FGHQ|Mall vs King 24–25 48.98%
FGHQ|Mall vs Hwoarang 34–12 73.91%
FGHQ|Mall vs Lars 22–22 50.00%
FGHQ|Mall vs Kazuya 19–18 51.35%
FGHQ|Mall vs Yoshimitsu 23–12 65.71%
FGHQ|Mall vs Steve 21–14 60.00%
FGHQ|Mall vs Dragunov 16–18 47.06%
FGHQ|Mall vs Xiaoyu 16–15 51.61%
FGHQ|Mall vs Jun 22–6 78.57%
FGHQ|Mall vs Bryan 15–11 57.69%
FGHQ|Mall vs Devil Jin 12–13 48.00%
FGHQ|Mall vs Law 15–9 62.50%
FGHQ|Mall vs Lili 15–9 62.50%
FGHQ|Mall vs Leroy 14–9 60.87%
FGHQ|Mall vs Lee 16–6 72.73%
FGHQ|Mall vs Azucena 16–5 76.19%
FGHQ|Mall vs Shaheen 10–9 52.63%
FGHQ|Mall vs Reina 14–4 77.78%
FGHQ|Mall vs Zafina 8–9 47.06%
FGHQ|Mall vs Nina 14–2 87.50%
FGHQ|Mall vs Asuka 11–4 73.33%
FGHQ|Mall vs Raven 9–6 60.00%
FGHQ|Mall vs Jack-8 9–5 64.29%
FGHQ|Mall vs Feng 7–6 53.85%
FGHQ|Mall vs Claudio 9–4 69.23%
FGHQ|Mall vs Victor 6–7 46.15%
FGHQ|Mall vs Paul 4–8 33.33%
FGHQ|Mall vs Leo 7–5 58.33%
FGHQ|Mall vs Heihachi 6–6 50.00%
FGHQ|Mall vs Anna 6–5 54.55%
FGHQ|Mall vs Kuma 6–4 60.00%
FGHQ|Mall vs Lidia 2–6 25.00%
FGHQ|Mall vs Armor King 4–4 50.00%
FGHQ|Mall vs Alisa 4–3 57.14%
FGHQ|Mall vs Eddy 3–3 50.00%
FGHQ|Mall vs Fahkumram 6–0 100.00%
FGHQ|Mall vs Miary Zo 4–2 66.67%
FGHQ|Mall vs Clive 1–2 33.33%
FGHQ|Mall vs Panda 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.