Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Tibetz9 vs Kazuya 384–406 48.61%
Tibetz9 vs Jin 330–359 47.90%
Tibetz9 vs King 260–285 47.71%
Tibetz9 vs Hwoarang 205–326 38.61%
Tibetz9 vs Heihachi 228–270 45.78%
Tibetz9 vs Bryan 214–216 49.77%
Tibetz9 vs Law 185–238 43.74%
Tibetz9 vs Steve 176–225 43.89%
Tibetz9 vs Reina 179–214 45.55%
Tibetz9 vs Dragunov 151–201 42.90%
Tibetz9 vs Yoshimitsu 153–173 46.93%
Tibetz9 vs Paul 151–163 48.09%
Tibetz9 vs Lee 138–168 45.10%
Tibetz9 vs Devil Jin 130–140 48.15%
Tibetz9 vs Lili 112–155 41.95%
Tibetz9 vs Victor 124–105 54.15%
Tibetz9 vs Jun 109–117 48.23%
Tibetz9 vs Eddy 90–129 41.10%
Tibetz9 vs Xiaoyu 93–104 47.21%
Tibetz9 vs Feng 84–111 43.08%
Tibetz9 vs Alisa 94–94 50.00%
Tibetz9 vs Asuka 86–97 46.99%
Tibetz9 vs Nina 80–102 43.96%
Tibetz9 vs Armor King 83–87 48.82%
Tibetz9 vs Azucena 80–87 47.90%
Tibetz9 vs Lidia 73–81 47.40%
Tibetz9 vs Lars 47–78 37.60%
Tibetz9 vs Leroy 55–61 47.41%
Tibetz9 vs Claudio 50–58 46.30%
Tibetz9 vs Clive 56–50 52.83%
Tibetz9 vs Anna 36–64 36.00%
Tibetz9 vs Jack-8 39–60 39.39%
Tibetz9 vs Raven 35–61 36.46%
Tibetz9 vs Shaheen 38–36 51.35%
Tibetz9 vs Leo 38–34 52.78%
Tibetz9 vs Kuma 32–31 50.79%
Tibetz9 vs Zafina 22–40 35.48%
Tibetz9 vs Fahkumram 23–30 43.40%
Tibetz9 vs Miary Zo 15–6 71.43%
Tibetz9 vs Panda 10–10 50.00%

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.