Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Донрондондон

Ratings

Донрондондон vs Jin 53–48 52.48%
Донрондондон vs Bryan 35–53 39.77%
Донрондондон vs Kazuya 48–37 56.47%
Донрондондон vs Heihachi 39–43 47.56%
Донрондондон vs Reina 44–37 54.32%
Донрондондон vs Law 43–25 63.24%
Донрондондон vs King 31–35 46.97%
Донрондондон vs Hwoarang 36–30 54.55%
Донрондондон vs Steve 41–24 63.08%
Донрондондон vs Dragunov 29–31 48.33%
Донрондондон vs Lidia 23–28 45.10%
Донрондондон vs Paul 27–17 61.36%
Донрондондон vs Lili 22–22 50.00%
Донрондондон vs Jun 24–15 61.54%
Донрондондон vs Eddy 15–18 45.45%
Донрондондон vs Victor 14–17 45.16%
Донрондондон vs Yoshimitsu 16–14 53.33%
Донрондондон vs Lee 15–13 53.57%
Донрондондон vs Clive 12–15 44.44%
Донрондондон vs Lars 12–14 46.15%
Донрондондон vs Asuka 6–18 25.00%
Донрондондон vs Devil Jin 8–16 33.33%
Донрондондон vs Azucena 16–7 69.57%
Донрондондон vs Feng 13–9 59.09%
Донрондондон vs Alisa 13–7 65.00%
Донрондондон vs Nina 9–10 47.37%
Донрондондон vs Claudio 8–9 47.06%
Донрондондон vs Leo 6–8 42.86%
Донрондондон vs Leroy 4–10 28.57%
Донрондондон vs Xiaoyu 4–9 30.77%
Донрондондон vs Shaheen 8–3 72.73%
Донрондондон vs Raven 5–6 45.45%
Донрондондон vs Zafina 4–6 40.00%
Донрондондон vs Jack-8 3–6 33.33%
Донрондондон vs Panda 4–3 57.14%
Донрондондон vs Kuma 1–4 20.00%

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.