Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

DieForMe vs Kazuya 83–95 46.63%
DieForMe vs Jin 91–76 54.49%
DieForMe vs Hwoarang 70–70 50.00%
DieForMe vs King 73–66 52.52%
DieForMe vs Steve 76–62 55.07%
DieForMe vs Law 45–64 41.28%
DieForMe vs Dragunov 44–64 40.74%
DieForMe vs Armor King 45–59 43.27%
DieForMe vs Bryan 49–52 48.51%
DieForMe vs Lili 47–53 47.00%
DieForMe vs Reina 38–52 42.22%
DieForMe vs Lars 36–50 41.86%
DieForMe vs Clive 34–45 43.04%
DieForMe vs Paul 34–44 43.59%
DieForMe vs Xiaoyu 30–46 39.47%
DieForMe vs Yoshimitsu 34–39 46.58%
DieForMe vs Jun 31–37 45.59%
DieForMe vs Asuka 28–35 44.44%
DieForMe vs Alisa 26–37 41.27%
DieForMe vs Lee 34–24 58.62%
DieForMe vs Heihachi 25–32 43.86%
DieForMe vs Devil Jin 21–29 42.00%
DieForMe vs Lidia 20–30 40.00%
DieForMe vs Nina 23–22 51.11%
DieForMe vs Feng 18–26 40.91%
DieForMe vs Leo 19–25 43.18%
DieForMe vs Victor 18–25 41.86%
DieForMe vs Fahkumram 22–19 53.66%
DieForMe vs Leroy 17–22 43.59%
DieForMe vs Claudio 14–24 36.84%
DieForMe vs Azucena 17–14 54.84%
DieForMe vs Eddy 11–19 36.67%
DieForMe vs Anna 12–17 41.38%
DieForMe vs Jack-8 9–15 37.50%
DieForMe vs Kuma 7–10 41.18%
DieForMe vs Miary Zo 3–13 18.75%
DieForMe vs Zafina 7–7 50.00%
DieForMe vs Shaheen 4–5–1 44.44%
DieForMe vs Raven 3–5 37.50%
DieForMe vs Panda 2–3 40.00%

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.