Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
★ Lipica ★

Ratings

★ Lipica ★ vs Reina 158–166 48.77%
★ Lipica ★ vs Kazuya 107–159 40.23%
★ Lipica ★ vs Dragunov 94–133 41.41%
★ Lipica ★ vs King 81–121 40.10%
★ Lipica ★ vs Lidia 95–106 47.26%
★ Lipica ★ vs Lili 79–113–1 41.15%
★ Lipica ★ vs Jin 67–116 36.61%
★ Lipica ★ vs Asuka 80–94 45.98%
★ Lipica ★ vs Paul 72–100–1 41.86%
★ Lipica ★ vs Bryan 75–97 43.60%
★ Lipica ★ vs Jun 53–98 35.10%
★ Lipica ★ vs Steve 61–77 44.20%
★ Lipica ★ vs Hwoarang 37–93 28.46%
★ Lipica ★ vs Lars 31–64 32.63%
★ Lipica ★ vs Xiaoyu 27–61 30.68%
★ Lipica ★ vs Yoshimitsu 27–60 31.03%
★ Lipica ★ vs Victor 24–62 27.91%
★ Lipica ★ vs Law 24–58 29.27%
★ Lipica ★ vs Azucena 27–52 34.18%
★ Lipica ★ vs Leo 22–50 30.56%
★ Lipica ★ vs Devil Jin 23–47 32.86%
★ Lipica ★ vs Claudio 24–45 34.78%
★ Lipica ★ vs Nina 21–47 30.88%
★ Lipica ★ vs Alisa 23–44 34.33%
★ Lipica ★ vs Lee 20–46 30.30%
★ Lipica ★ vs Feng 26–37 41.27%
★ Lipica ★ vs Shaheen 17–36 32.08%
★ Lipica ★ vs Leroy 16–28 36.36%
★ Lipica ★ vs Jack-8 12–31 27.91%
★ Lipica ★ vs Eddy 5–28 15.15%
★ Lipica ★ vs Fahkumram 14–13 51.85%
★ Lipica ★ vs Raven 8–16 33.33%
★ Lipica ★ vs Kuma 5–17 22.73%
★ Lipica ★ vs Zafina 11–11 50.00%
★ Lipica ★ vs Panda 1–14 6.67%
★ Lipica ★ vs Heihachi 2–1 66.67%
★ Lipica ★ vs Anna 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.