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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Fishbones vs Armor King 60–34 63.83%
Fishbones vs Kazuya 30–27 52.63%
Fishbones vs Heihachi 28–27 50.91%
Fishbones vs Jin 32–20 61.54%
Fishbones vs King 22–16 57.89%
Fishbones vs Hwoarang 13–20 39.39%
Fishbones vs Yoshimitsu 17–15 53.12%
Fishbones vs Lili 17–14 54.84%
Fishbones vs Anna 15–15 50.00%
Fishbones vs Dragunov 10–15 40.00%
Fishbones vs Lars 9–16 36.00%
Fishbones vs Bryan 16–8 66.67%
Fishbones vs Miary Zo 9–15 37.50%
Fishbones vs Law 12–11 52.17%
Fishbones vs Xiaoyu 11–11 50.00%
Fishbones vs Reina 10–12 45.45%
Fishbones vs Azucena 16–6 72.73%
Fishbones vs Steve 12–9 57.14%
Fishbones vs Asuka 9–12 42.86%
Fishbones vs Paul 7–13 35.00%
Fishbones vs Victor 9–6 60.00%
Fishbones vs Fahkumram 9–6 60.00%
Fishbones vs Clive 9–5 64.29%
Fishbones vs Shaheen 9–4 69.23%
Fishbones vs Lee 5–7 41.67%
Fishbones vs Jack-8 7–4 63.64%
Fishbones vs Leo 4–7 36.36%
Fishbones vs Nina 6–3 66.67%
Fishbones vs Leroy 3–6 33.33%
Fishbones vs Feng 5–3 62.50%
Fishbones vs Kuma 4–4 50.00%
Fishbones vs Devil Jin 4–3 57.14%
Fishbones vs Jun 3–4 42.86%
Fishbones vs Raven 4–3 57.14%
Fishbones vs Panda 4–2 66.67%
Fishbones vs Lidia 2–4 33.33%
Fishbones vs Alisa 2–3 40.00%
Fishbones vs Zafina 1–4 20.00%
Fishbones vs Claudio 1–2 33.33%
Fishbones vs Eddy 0–2 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.