Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Hannibal vs Kazuya 110–82 57.29%
Hannibal vs Reina 85–60 58.62%
Hannibal vs Jin 80–62 56.34%
Hannibal vs Heihachi 63–69 47.73%
Hannibal vs Bryan 71–56 55.91%
Hannibal vs King 63–54 53.85%
Hannibal vs Steve 59–54 52.21%
Hannibal vs Hwoarang 51–60 45.95%
Hannibal vs Dragunov 54–48 52.94%
Hannibal vs Law 42–58 42.00%
Hannibal vs Yoshimitsu 40–35 53.33%
Hannibal vs Clive 33–39 45.83%
Hannibal vs Devil Jin 33–35 48.53%
Hannibal vs Lili 38–30 55.88%
Hannibal vs Paul 24–36 40.00%
Hannibal vs Lee 24–32 42.86%
Hannibal vs Xiaoyu 32–22 59.26%
Hannibal vs Fahkumram 30–23 56.60%
Hannibal vs Jun 21–30 41.18%
Hannibal vs Asuka 20–23 46.51%
Hannibal vs Armor King 18–25 41.86%
Hannibal vs Nina 18–21 46.15%
Hannibal vs Lidia 23–16 58.97%
Hannibal vs Lars 17–21 44.74%
Hannibal vs Azucena 12–25 32.43%
Hannibal vs Anna 15–20 42.86%
Hannibal vs Feng 12–22 35.29%
Hannibal vs Eddy 11–21 34.38%
Hannibal vs Claudio 13–16 44.83%
Hannibal vs Kuma 13–15 46.43%
Hannibal vs Alisa 12–15 44.44%
Hannibal vs Raven 15–12 55.56%
Hannibal vs Victor 13–12 52.00%
Hannibal vs Leo 12–12 50.00%
Hannibal vs Leroy 8–13 38.10%
Hannibal vs Zafina 12–6 66.67%
Hannibal vs Shaheen 10–6 62.50%
Hannibal vs Jack-8 8–7 53.33%
Hannibal vs Miary Zo 2–4 33.33%
Hannibal vs Panda 2–2 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.