Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Lost and Found vs King 64–44 59.26%
Lost and Found vs Kazuya 50–43 53.76%
Lost and Found vs Jin 45–40 52.94%
Lost and Found vs Law 41–37 52.56%
Lost and Found vs Reina 36–40 47.37%
Lost and Found vs Steve 43–30 58.90%
Lost and Found vs Eddy 38–29 56.72%
Lost and Found vs Heihachi 41–25 62.12%
Lost and Found vs Hwoarang 37–26 58.73%
Lost and Found vs Clive 31–31 50.00%
Lost and Found vs Dragunov 27–28 49.09%
Lost and Found vs Bryan 25–26 49.02%
Lost and Found vs Jun 25–22 53.19%
Lost and Found vs Lidia 18–25 41.86%
Lost and Found vs Nina 30–12 71.43%
Lost and Found vs Asuka 13–27 32.50%
Lost and Found vs Azucena 20–19 51.28%
Lost and Found vs Victor 20–15 57.14%
Lost and Found vs Lili 11–22 33.33%
Lost and Found vs Lars 16–16 50.00%
Lost and Found vs Paul 16–14 53.33%
Lost and Found vs Yoshimitsu 12–18 40.00%
Lost and Found vs Anna 11–18 37.93%
Lost and Found vs Xiaoyu 13–12 52.00%
Lost and Found vs Lee 9–15 37.50%
Lost and Found vs Raven 16–8 66.67%
Lost and Found vs Leo 12–11 52.17%
Lost and Found vs Feng 10–12 45.45%
Lost and Found vs Devil Jin 6–13 31.58%
Lost and Found vs Fahkumram 10–7 58.82%
Lost and Found vs Leroy 11–5 68.75%
Lost and Found vs Claudio 7–8 46.67%
Lost and Found vs Jack-8 4–10 28.57%
Lost and Found vs Alisa 4–9 30.77%
Lost and Found vs Kuma 4–6 40.00%
Lost and Found vs Zafina 4–4 50.00%
Lost and Found vs Shaheen 5–2 71.43%
Lost and Found vs Miary Zo 2–5 28.57%
Lost and Found vs Armor King 3–1 75.00%
Lost and Found vs Panda 2–1 66.67%

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.