Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

orbital
NoodlesLover
orbital vs Jin 43–55 43.88%
orbital vs Clive 38–52 42.22%
orbital vs King 24–43 35.82%
orbital vs Kazuya 27–38 41.54%
orbital vs Law 33–26 55.93%
orbital vs Bryan 27–30 47.37%
orbital vs Hwoarang 29–25 53.70%
orbital vs Dragunov 19–29 39.58%
orbital vs Jun 20–24 45.45%
orbital vs Reina 19–24 44.19%
orbital vs Yoshimitsu 22–18 55.00%
orbital vs Steve 15–23 39.47%
orbital vs Alisa 22–13 62.86%
orbital vs Lars 13–21 38.24%
orbital vs Azucena 18–14 56.25%
orbital vs Paul 10–20 33.33%
orbital vs Devil Jin 13–17 43.33%
orbital vs Eddy 12–17 41.38%
orbital vs Asuka 13–15 46.43%
orbital vs Lidia 12–16 42.86%
orbital vs Heihachi 16–12 57.14%
orbital vs Lili 12–15 44.44%
orbital vs Jack-8 9–17 34.62%
orbital vs Victor 15–10 60.00%
orbital vs Feng 8–14 36.36%
orbital vs Nina 7–15 31.82%
orbital vs Leroy 11–11 50.00%
orbital vs Leo 14–6 70.00%
orbital vs Lee 6–10 37.50%
orbital vs Kuma 5–8 38.46%
orbital vs Xiaoyu 3–9 25.00%
orbital vs Raven 2–7 22.22%
orbital vs Panda 4–4 50.00%
orbital vs Claudio 3–3 50.00%
orbital vs Shaheen 1–2 33.33%
orbital vs Zafina 0–3 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.