Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

ADLAURENT vs Jin 90–57 61.22%
ADLAURENT vs King 65–56 53.72%
ADLAURENT vs Law 62–44–1 58.49%
ADLAURENT vs Bryan 61–42 59.22%
ADLAURENT vs Hwoarang 59–40 59.60%
ADLAURENT vs Dragunov 48–45 51.61%
ADLAURENT vs Feng 42–38 52.50%
ADLAURENT vs Kazuya 47–32 59.49%
ADLAURENT vs Paul 43–25 63.24%
ADLAURENT vs Devil Jin 34–27 55.74%
ADLAURENT vs Lars 30–28 51.72%
ADLAURENT vs Yoshimitsu 21–35 37.50%
ADLAURENT vs Reina 29–27 51.79%
ADLAURENT vs Victor 30–25 54.55%
ADLAURENT vs Lili 31–20 60.78%
ADLAURENT vs Jun 24–26 48.00%
ADLAURENT vs Azucena 24–24 50.00%
ADLAURENT vs Lee 24–23 51.06%
ADLAURENT vs Steve 24–22 52.17%
ADLAURENT vs Alisa 22–21 51.16%
ADLAURENT vs Eddy 31–12 72.09%
ADLAURENT vs Leroy 21–19 52.50%
ADLAURENT vs Claudio 20–18 52.63%
ADLAURENT vs Nina 14–24 36.84%
ADLAURENT vs Raven 20–16 55.56%
ADLAURENT vs Xiaoyu 15–20 42.86%
ADLAURENT vs Leo 16–17 48.48%
ADLAURENT vs Asuka 12–18 40.00%
ADLAURENT vs Jack-8 12–14 46.15%
ADLAURENT vs Shaheen 8–17 32.00%
ADLAURENT vs Zafina 5–11 31.25%
ADLAURENT vs Kuma 5–10 33.33%
ADLAURENT vs Panda 8–7 53.33%
ADLAURENT vs Lidia 3–4 42.86%
ADLAURENT vs Armor King 4–2 66.67%
ADLAURENT vs Fahkumram 3–1 75.00%
ADLAURENT vs Heihachi 1–2 33.33%
ADLAURENT vs Clive 0–1 0.00%
ADLAURENT vs Anna 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.