Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Umberker vs Kazuya 83–104 44.39%
Umberker vs King 86–95 47.51%
Umberker vs Dragunov 76–97 43.93%
Umberker vs Jin 90–76 54.22%
Umberker vs Reina 84–77 52.17%
Umberker vs Paul 45–96 31.91%
Umberker vs Hwoarang 59–77 43.38%
Umberker vs Lili 63–69 47.73%
Umberker vs Asuka 51–76 40.16%
Umberker vs Law 40–75 34.78%
Umberker vs Bryan 47–65 41.96%
Umberker vs Jun 43–64 40.19%
Umberker vs Victor 43–56 43.43%
Umberker vs Steve 33–53 38.37%
Umberker vs Nina 32–38 45.71%
Umberker vs Yoshimitsu 19–48 28.36%
Umberker vs Xiaoyu 24–39 38.10%
Umberker vs Alisa 25–37 40.32%
Umberker vs Claudio 20–42 32.26%
Umberker vs Azucena 18–39 31.58%
Umberker vs Feng 16–33 32.65%
Umberker vs Devil Jin 18–30 37.50%
Umberker vs Lidia 25–22 53.19%
Umberker vs Lars 20–25 44.44%
Umberker vs Clive 12–32 27.27%
Umberker vs Lee 22–21 51.16%
Umberker vs Jack-8 16–25 39.02%
Umberker vs Heihachi 16–24 40.00%
Umberker vs Leo 19–18 51.35%
Umberker vs Leroy 12–21 36.36%
Umberker vs Eddy 11–22 33.33%
Umberker vs Fahkumram 16–15 51.61%
Umberker vs Kuma 6–24 20.00%
Umberker vs Shaheen 10–15 40.00%
Umberker vs Zafina 10–14 41.67%
Umberker vs Armor King 7–15 31.82%
Umberker vs Raven 10–8 55.56%
Umberker vs Miary Zo 4–6 40.00%
Umberker vs Anna 2–4 33.33%
Umberker vs Panda 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.