Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

deep-fried moo vs Jin 20–29 40.82%
deep-fried moo vs Reina 23–17 57.50%
deep-fried moo vs King 17–14 54.84%
deep-fried moo vs Kazuya 18–12 60.00%
deep-fried moo vs Heihachi 17–12 58.62%
deep-fried moo vs Steve 23–4 85.19%
deep-fried moo vs Bryan 9–14 39.13%
deep-fried moo vs Lars 13–9 59.09%
deep-fried moo vs Yoshimitsu 6–11 35.29%
deep-fried moo vs Lili 5–12 29.41%
deep-fried moo vs Law 8–8 50.00%
deep-fried moo vs Hwoarang 7–9 43.75%
deep-fried moo vs Shaheen 8–6 57.14%
deep-fried moo vs Jun 8–6 57.14%
deep-fried moo vs Feng 6–7 46.15%
deep-fried moo vs Eddy 3–9 25.00%
deep-fried moo vs Azucena 8–3 72.73%
deep-fried moo vs Victor 5–6 45.45%
deep-fried moo vs Asuka 4–5 44.44%
deep-fried moo vs Dragunov 4–5 44.44%
deep-fried moo vs Devil Jin 2–6 25.00%
deep-fried moo vs Lee 5–3 62.50%
deep-fried moo vs Nina 5–2 71.43%
deep-fried moo vs Leo 2–4 33.33%
deep-fried moo vs Zafina 6–0 100.00%
deep-fried moo vs Jack-8 3–2 60.00%
deep-fried moo vs Clive 3–2 60.00%
deep-fried moo vs Lidia 1–3 25.00%
deep-fried moo vs Claudio 2–1 66.67%
deep-fried moo vs Kuma 2–1 66.67%
deep-fried moo vs Leroy 1–2 33.33%
deep-fried moo vs Raven 1–2 33.33%
deep-fried moo vs Xiaoyu 0–2 0.00%
deep-fried moo vs Fahkumram 0–2 0.00%
deep-fried moo vs Alisa 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.