Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

_UROBOROS_ vs King 26–27 49.06%
_UROBOROS_ vs Steve 27–19 58.70%
_UROBOROS_ vs Kazuya 17–25 40.48%
_UROBOROS_ vs Hwoarang 15–21 41.67%
_UROBOROS_ vs Yoshimitsu 17–8 68.00%
_UROBOROS_ vs Reina 11–14 44.00%
_UROBOROS_ vs Lee 12–11 52.17%
_UROBOROS_ vs Miary Zo 9–13 40.91%
_UROBOROS_ vs Law 14–6 70.00%
_UROBOROS_ vs Devil Jin 12–8 60.00%
_UROBOROS_ vs Victor 11–8 57.89%
_UROBOROS_ vs Armor King 7–12 36.84%
_UROBOROS_ vs Azucena 8–10 44.44%
_UROBOROS_ vs Jin 5–10 33.33%
_UROBOROS_ vs Bryan 6–9 40.00%
_UROBOROS_ vs Lili 6–8 42.86%
_UROBOROS_ vs Lars 6–8 42.86%
_UROBOROS_ vs Zafina 8–6 57.14%
_UROBOROS_ vs Jun 8–5 61.54%
_UROBOROS_ vs Eddy 6–7 46.15%
_UROBOROS_ vs Anna 5–8 38.46%
_UROBOROS_ vs Asuka 2–9 18.18%
_UROBOROS_ vs Dragunov 4–7 36.36%
_UROBOROS_ vs Clive 7–4 63.64%
_UROBOROS_ vs Alisa 3–7 30.00%
_UROBOROS_ vs Feng 2–7 22.22%
_UROBOROS_ vs Leo 2–7 22.22%
_UROBOROS_ vs Raven 7–2 77.78%
_UROBOROS_ vs Lidia 5–4 55.56%
_UROBOROS_ vs Heihachi 4–5 44.44%
_UROBOROS_ vs Paul 6–2 75.00%
_UROBOROS_ vs Fahkumram 4–4 50.00%
_UROBOROS_ vs Shaheen 4–3 57.14%
_UROBOROS_ vs Jack-8 2–3 40.00%
_UROBOROS_ vs Claudio 4–0 100.00%
_UROBOROS_ vs Leroy 2–2 50.00%
_UROBOROS_ vs Xiaoyu 2–1 66.67%
_UROBOROS_ vs Nina 2–1 66.67%
_UROBOROS_ vs Kuma 1–1 50.00%

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.