Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Tullon

Ratings

Tullon vs Kazuya 55–56 49.55%
Tullon vs Jin 33–56 37.08%
Tullon vs King 29–42 40.85%
Tullon vs Hwoarang 25–32 43.86%
Tullon vs Bryan 21–34 38.18%
Tullon vs Reina 25–29 46.30%
Tullon vs Steve 15–34 30.61%
Tullon vs Yoshimitsu 13–35 27.08%
Tullon vs Dragunov 16–26 38.10%
Tullon vs Eddy 9–31 22.50%
Tullon vs Law 15–23 39.47%
Tullon vs Lars 8–25 24.24%
Tullon vs Lili 7–24 22.58%
Tullon vs Nina 14–17 45.16%
Tullon vs Devil Jin 10–19 34.48%
Tullon vs Alisa 8–21 27.59%
Tullon vs Jun 9–19 32.14%
Tullon vs Paul 12–15 44.44%
Tullon vs Feng 9–17 34.62%
Tullon vs Lidia 9–17 34.62%
Tullon vs Lee 2–21 8.70%
Tullon vs Asuka 12–9 57.14%
Tullon vs Victor 8–13 38.10%
Tullon vs Claudio 3–17 15.00%
Tullon vs Azucena 3–15 16.67%
Tullon vs Shaheen 4–9 30.77%
Tullon vs Leroy 3–8 27.27%
Tullon vs Xiaoyu 0–10 0.00%
Tullon vs Kuma 4–6 40.00%
Tullon vs Leo 4–5 44.44%
Tullon vs Jack-8 1–7 12.50%
Tullon vs Panda 1–6 14.29%
Tullon vs Raven 2–5 28.57%
Tullon vs Zafina 0–3 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.