Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

traxener vs Kazuya 87–113 43.50%
traxener vs Jin 66–122 35.11%
traxener vs King 53–104 33.76%
traxener vs Law 40–93 30.08%
traxener vs Reina 43–82 34.40%
traxener vs Steve 43–79 35.25%
traxener vs Hwoarang 40–71 36.04%
traxener vs Eddy 44–62 41.51%
traxener vs Dragunov 43–54 44.33%
traxener vs Bryan 29–56 34.12%
traxener vs Yoshimitsu 18–60 23.08%
traxener vs Jun 38–36 51.35%
traxener vs Paul 38–35 52.05%
traxener vs Asuka 23–40 36.51%
traxener vs Azucena 31–32 49.21%
traxener vs Victor 25–34 42.37%
traxener vs Lili 18–38 32.14%
traxener vs Lars 18–38 32.14%
traxener vs Devil Jin 24–30 44.44%
traxener vs Nina 21–33 38.89%
traxener vs Xiaoyu 30–18 62.50%
traxener vs Lee 22–24 47.83%
traxener vs Lidia 16–30 34.78%
traxener vs Armor King 16–28 36.36%
traxener vs Claudio 16–26 38.10%
traxener vs Heihachi 15–22 40.54%
traxener vs Zafina 10–24 29.41%
traxener vs Leroy 10–21 32.26%
traxener vs Clive 12–17 41.38%
traxener vs Feng 14–13 51.85%
traxener vs Alisa 10–17 37.04%
traxener vs Raven 19–7 73.08%
traxener vs Kuma 5–19 20.83%
traxener vs Leo 4–15 21.05%
traxener vs Anna 8–10 44.44%
traxener vs Jack-8 9–8 52.94%
traxener vs Shaheen 7–5 58.33%
traxener vs Panda 2–8 20.00%
traxener vs Fahkumram 5–5 50.00%
traxener vs Miary Zo 2–5 28.57%

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.