Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

ITLN
LTJN
LVTN
LVNT
LITL
LITI
ITLN vs Hwoarang 132–86 60.55%
ITLN vs King 107–69 60.80%
ITLN vs Kazuya 81–75 51.92%
ITLN vs Dragunov 70–85 45.16%
ITLN vs Bryan 100–53 65.36%
ITLN vs Law 77–75 50.66%
ITLN vs Jin 75–77 49.34%
ITLN vs Paul 85–59 59.03%
ITLN vs Reina 73–61 54.48%
ITLN vs Yoshimitsu 66–42 61.11%
ITLN vs Victor 46–62 42.59%
ITLN vs Feng 52–53 49.52%
ITLN vs Lars 57–48 54.29%
ITLN vs Alisa 65–39 62.50%
ITLN vs Heihachi 48–55 46.60%
ITLN vs Steve 41–58 41.41%
ITLN vs Lili 51–42 54.84%
ITLN vs Nina 46–46 50.00%
ITLN vs Jun 42–44 48.84%
ITLN vs Lidia 37–44 45.68%
ITLN vs Asuka 37–41 47.44%
ITLN vs Xiaoyu 41–32 56.16%
ITLN vs Claudio 30–41 42.25%
ITLN vs Leo 33–36 47.83%
ITLN vs Azucena 28–38 42.42%
ITLN vs Leroy 39–23 62.90%
ITLN vs Lee 31–28 52.54%
ITLN vs Eddy 32–27 54.24%
ITLN vs Raven 24–33 42.11%
ITLN vs Clive 16–39 29.09%
ITLN vs Jack-8 24–30 44.44%
ITLN vs Devil Jin 17–35 32.69%
ITLN vs Shaheen 21–31 40.38%
ITLN vs Kuma 25–27 48.08%
ITLN vs Zafina 17–17 50.00%
ITLN vs Panda 7–8 46.67%

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.