Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Knee_capz vs King 71–75 48.63%
Knee_capz vs Jin 69–55 55.65%
Knee_capz vs Steve 67–43 60.91%
Knee_capz vs Bryan 53–54 49.53%
Knee_capz vs Kazuya 69–38 64.49%
Knee_capz vs Reina 43–53 44.79%
Knee_capz vs Dragunov 40–41 49.38%
Knee_capz vs Law 42–38 52.50%
Knee_capz vs Lidia 50–29 63.29%
Knee_capz vs Hwoarang 30–33 47.62%
Knee_capz vs Lili 25–35 41.67%
Knee_capz vs Azucena 31–28 52.54%
Knee_capz vs Paul 24–32 42.86%
Knee_capz vs Asuka 23–32 41.82%
Knee_capz vs Lee 16–35 31.37%
Knee_capz vs Eddy 25–24 51.02%
Knee_capz vs Lars 26–22 54.17%
Knee_capz vs Jun 19–27 41.30%
Knee_capz vs Leroy 20–25 44.44%
Knee_capz vs Yoshimitsu 18–25 41.86%
Knee_capz vs Leo 26–17 60.47%
Knee_capz vs Feng 25–17 59.52%
Knee_capz vs Devil Jin 22–18 55.00%
Knee_capz vs Nina 18–21 46.15%
Knee_capz vs Xiaoyu 7–27 20.59%
Knee_capz vs Alisa 17–15 53.12%
Knee_capz vs Victor 21–9 70.00%
Knee_capz vs Claudio 16–11 59.26%
Knee_capz vs Heihachi 10–15 40.00%
Knee_capz vs Jack-8 7–16 30.43%
Knee_capz vs Kuma 9–13 40.91%
Knee_capz vs Fahkumram 11–11 50.00%
Knee_capz vs Raven 7–13 35.00%
Knee_capz vs Clive 10–10 50.00%
Knee_capz vs Shaheen 9–4 69.23%
Knee_capz vs Zafina 5–4 55.56%
Knee_capz vs Anna 3–3 50.00%
Knee_capz vs Armor King 3–2 60.00%
Knee_capz vs Panda 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.