Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Deviling vs Kazuya 166–86 65.87%
Deviling vs Bryan 125–69 64.43%
Deviling vs Reina 112–64 63.64%
Deviling vs Heihachi 88–69 56.05%
Deviling vs Jin 106–42 71.62%
Deviling vs Dragunov 84–61 57.93%
Deviling vs King 83–49 62.88%
Deviling vs Paul 67–47 58.77%
Deviling vs Hwoarang 61–39 61.00%
Deviling vs Devil Jin 50–37 57.47%
Deviling vs Feng 57–28 67.06%
Deviling vs Yoshimitsu 45–38 54.22%
Deviling vs Lee 45–32 58.44%
Deviling vs Asuka 42–27 60.87%
Deviling vs Steve 36–29 55.38%
Deviling vs Jun 39–25 60.94%
Deviling vs Lili 40–19 67.80%
Deviling vs Lidia 36–20 64.29%
Deviling vs Alisa 28–24 53.85%
Deviling vs Law 32–17 65.31%
Deviling vs Victor 26–19 57.78%
Deviling vs Azucena 26–17 60.47%
Deviling vs Nina 27–14 65.85%
Deviling vs Leroy 25–16 60.98%
Deviling vs Eddy 25–16 60.98%
Deviling vs Leo 25–15 62.50%
Deviling vs Armor King 25–11 69.44%
Deviling vs Clive 15–17 46.88%
Deviling vs Jack-8 13–17 43.33%
Deviling vs Lars 22–6 78.57%
Deviling vs Xiaoyu 21–6 77.78%
Deviling vs Fahkumram 13–14 48.15%
Deviling vs Anna 17–9 65.38%
Deviling vs Shaheen 11–10 52.38%
Deviling vs Claudio 10–10 50.00%
Deviling vs Raven 8–11 42.11%
Deviling vs Kuma 9–5 64.29%
Deviling vs Zafina 9–3 75.00%
Deviling vs Panda 4–3 57.14%
Deviling vs Miary Zo 4–2 66.67%

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.