Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Goodlifer vs King 33–37 47.14%
Goodlifer vs Kazuya 24–29 45.28%
Goodlifer vs Jin 22–25 46.81%
Goodlifer vs Steve 23–24 48.94%
Goodlifer vs Asuka 15–22 40.54%
Goodlifer vs Reina 23–14 62.16%
Goodlifer vs Law 18–18 50.00%
Goodlifer vs Armor King 17–15 53.12%
Goodlifer vs Hwoarang 12–18 40.00%
Goodlifer vs Eddy 11–17 39.29%
Goodlifer vs Bryan 8–17 32.00%
Goodlifer vs Yoshimitsu 16–8 66.67%
Goodlifer vs Lidia 6–18 25.00%
Goodlifer vs Lili 15–6 71.43%
Goodlifer vs Lee 7–13 35.00%
Goodlifer vs Jun 10–10 50.00%
Goodlifer vs Feng 10–8 55.56%
Goodlifer vs Lars 7–9 43.75%
Goodlifer vs Heihachi 7–9 43.75%
Goodlifer vs Xiaoyu 5–10 33.33%
Goodlifer vs Clive 10–5 66.67%
Goodlifer vs Dragunov 8–6 57.14%
Goodlifer vs Azucena 5–8 38.46%
Goodlifer vs Leo 3–9 25.00%
Goodlifer vs Leroy 7–5 58.33%
Goodlifer vs Victor 4–8 33.33%
Goodlifer vs Fahkumram 3–9 25.00%
Goodlifer vs Anna 5–6 45.45%
Goodlifer vs Devil Jin 7–3 70.00%
Goodlifer vs Alisa 7–3 70.00%
Goodlifer vs Raven 4–6 40.00%
Goodlifer vs Miary Zo 3–6 33.33%
Goodlifer vs Nina 3–4 42.86%
Goodlifer vs Zafina 3–4 42.86%
Goodlifer vs Paul 3–3 50.00%
Goodlifer vs Jack-8 0–4 0.00%
Goodlifer vs Claudio 1–2 33.33%
Goodlifer vs Shaheen 2–1 66.67%
Goodlifer vs Kuma 2–1 66.67%
Goodlifer vs Panda 1–1 50.00%

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.