Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

dimitris vs Jin 80–116 40.82%
dimitris vs King 78–112 41.05%
dimitris vs Kazuya 52–78 40.00%
dimitris vs Hwoarang 56–69 44.80%
dimitris vs Reina 64–55 53.78%
dimitris vs Steve 56–58 49.12%
dimitris vs Heihachi 47–66 41.59%
dimitris vs Law 44–60 42.31%
dimitris vs Bryan 56–48 53.85%
dimitris vs Jun 50–47 51.55%
dimitris vs Armor King 47–46 50.54%
dimitris vs Lili 32–50 39.02%
dimitris vs Dragunov 34–47 41.98%
dimitris vs Paul 29–48 37.66%
dimitris vs Eddy 29–39 42.65%
dimitris vs Yoshimitsu 26–34 43.33%
dimitris vs Nina 15–44 25.42%
dimitris vs Clive 19–35 35.19%
dimitris vs Alisa 22–31 41.51%
dimitris vs Lars 15–35–1 30.00%
dimitris vs Devil Jin 24–23 51.06%
dimitris vs Xiaoyu 15–30 33.33%
dimitris vs Lee 12–33 26.67%
dimitris vs Azucena 16–29 35.56%
dimitris vs Miary Zo 10–34 22.73%
dimitris vs Leroy 13–27 32.50%
dimitris vs Victor 23–14 62.16%
dimitris vs Leo 13–19 40.62%
dimitris vs Feng 11–20 35.48%
dimitris vs Asuka 11–17 39.29%
dimitris vs Jack-8 9–15 37.50%
dimitris vs Kuma 10–13 43.48%
dimitris vs Lidia 12–10 54.55%
dimitris vs Anna 11–11 50.00%
dimitris vs Raven 8–13 38.10%
dimitris vs Claudio 8–9 47.06%
dimitris vs Fahkumram 7–10 41.18%
dimitris vs Panda 5–7 41.67%
dimitris vs Zafina 3–5 37.50%
dimitris vs Shaheen 0–5 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.