Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

geli
Natterly
Meryl
geli vs Kazuya 122–41 74.85%
geli vs Jin 66–49 57.39%
geli vs Bryan 67–41 62.04%
geli vs Reina 60–23 72.29%
geli vs Steve 55–24 69.62%
geli vs Devil Jin 36–30 54.55%
geli vs Hwoarang 46–17 73.02%
geli vs King 43–18 70.49%
geli vs Heihachi 45–16 73.77%
geli vs Lee 35–23 60.34%
geli vs Dragunov 37–18 67.27%
geli vs Azucena 38–17 69.09%
geli vs Yoshimitsu 37–17 68.52%
geli vs Feng 35–17 67.31%
geli vs Asuka 34–17 66.67%
geli vs Paul 33–16 67.35%
geli vs Lidia 29–19 60.42%
geli vs Law 28–17 62.22%
geli vs Lili 28–10 73.68%
geli vs Lars 26–7 78.79%
geli vs Jun 19–13 59.38%
geli vs Victor 21–10 67.74%
geli vs Eddy 18–10 64.29%
geli vs Alisa 16–10 61.54%
geli vs Nina 18–8 69.23%
geli vs Raven 15–10 60.00%
geli vs Leo 15–9 62.50%
geli vs Shaheen 12–12 50.00%
geli vs Zafina 13–11 54.17%
geli vs Claudio 21–2 91.30%
geli vs Xiaoyu 15–6 71.43%
geli vs Kuma 11–7 61.11%
geli vs Clive 9–9 50.00%
geli vs Leroy 6–5 54.55%
geli vs Jack-8 9–1 90.00%
geli vs Panda 3–1 75.00%

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.