Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
NebulaAkame

Ratings

NebulaAkame vs King 99–117 45.83%
NebulaAkame vs Reina 94–117 44.55%
NebulaAkame vs Kazuya 70–86 44.87%
NebulaAkame vs Jin 57–94 37.75%
NebulaAkame vs Steve 62–77 44.60%
NebulaAkame vs Law 58–77 42.96%
NebulaAkame vs Hwoarang 58–74 43.94%
NebulaAkame vs Azucena 49–60 44.95%
NebulaAkame vs Bryan 41–64 39.05%
NebulaAkame vs Lili 33–62 34.74%
NebulaAkame vs Jun 37–58 38.95%
NebulaAkame vs Clive 32–53 37.65%
NebulaAkame vs Victor 19–65 22.62%
NebulaAkame vs Asuka 29–53 35.37%
NebulaAkame vs Dragunov 21–60 25.93%
NebulaAkame vs Eddy 21–56 27.27%
NebulaAkame vs Lidia 24–52–1 31.58%
NebulaAkame vs Nina 24–43 35.82%
NebulaAkame vs Yoshimitsu 27–38 41.54%
NebulaAkame vs Lars 28–36 43.75%
NebulaAkame vs Xiaoyu 21–39 35.00%
NebulaAkame vs Lee 29–28–1 50.88%
NebulaAkame vs Alisa 18–39 31.58%
NebulaAkame vs Paul 21–32 39.62%
NebulaAkame vs Feng 18–31 36.73%
NebulaAkame vs Devil Jin 28–19 59.57%
NebulaAkame vs Leo 15–31 32.61%
NebulaAkame vs Leroy 13–29 30.95%
NebulaAkame vs Claudio 12–28 30.00%
NebulaAkame vs Heihachi 16–23 41.03%
NebulaAkame vs Raven 16–21 43.24%
NebulaAkame vs Jack-8 11–22 33.33%
NebulaAkame vs Zafina 6–16 27.27%
NebulaAkame vs Shaheen 13–7–1 65.00%
NebulaAkame vs Kuma 4–14 22.22%
NebulaAkame vs Panda 5–4 55.56%

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.