Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

PierogiPummeler vs Reina 34–25 57.63%
PierogiPummeler vs King 19–22 46.34%
PierogiPummeler vs Jin 18–20 47.37%
PierogiPummeler vs Lidia 12–22 35.29%
PierogiPummeler vs Azucena 19–14 57.58%
PierogiPummeler vs Kazuya 10–21 32.26%
PierogiPummeler vs Jun 16–15 51.61%
PierogiPummeler vs Dragunov 9–18 33.33%
PierogiPummeler vs Eddy 13–13 50.00%
PierogiPummeler vs Hwoarang 13–12 52.00%
PierogiPummeler vs Law 12–5 70.59%
PierogiPummeler vs Bryan 7–10 41.18%
PierogiPummeler vs Alisa 6–10 37.50%
PierogiPummeler vs Victor 13–3 81.25%
PierogiPummeler vs Steve 6–9 40.00%
PierogiPummeler vs Lili 7–8 46.67%
PierogiPummeler vs Kuma 5–10 33.33%
PierogiPummeler vs Leroy 11–3 78.57%
PierogiPummeler vs Lee 5–8 38.46%
PierogiPummeler vs Raven 6–7 46.15%
PierogiPummeler vs Yoshimitsu 8–2 80.00%
PierogiPummeler vs Lars 6–3 66.67%
PierogiPummeler vs Nina 5–4 55.56%
PierogiPummeler vs Paul 6–1 85.71%
PierogiPummeler vs Xiaoyu 3–3 50.00%
PierogiPummeler vs Leo 3–3 50.00%
PierogiPummeler vs Devil Jin 2–1 66.67%
PierogiPummeler vs Feng 0–3 0.00%
PierogiPummeler vs Zafina 2–1 66.67%
PierogiPummeler vs Asuka 2–0 100.00%
PierogiPummeler vs Panda 2–0 100.00%
PierogiPummeler vs Clive 1–1 50.00%
PierogiPummeler vs Fahkumram 0–2 0.00%
PierogiPummeler vs Heihachi 0–1 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.