Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

uomolontra vs Jin 71–70 50.35%
uomolontra vs Kazuya 49–50 49.49%
uomolontra vs King 54–37 59.34%
uomolontra vs Bryan 43–35 55.13%
uomolontra vs Law 53–24 68.83%
uomolontra vs Steve 41–35 53.95%
uomolontra vs Reina 38–34 52.78%
uomolontra vs Paul 43–27 61.43%
uomolontra vs Yoshimitsu 30–38 44.12%
uomolontra vs Lili 37–30 55.22%
uomolontra vs Hwoarang 35–25 58.33%
uomolontra vs Dragunov 34–26 56.67%
uomolontra vs Lee 38–19 66.67%
uomolontra vs Devil Jin 30–23 56.60%
uomolontra vs Fahkumram 33–20 62.26%
uomolontra vs Jun 29–19 60.42%
uomolontra vs Azucena 20–20 50.00%
uomolontra vs Asuka 22–12 64.71%
uomolontra vs Feng 14–20 41.18%
uomolontra vs Jack-8 16–17 48.48%
uomolontra vs Lars 19–14 57.58%
uomolontra vs Alisa 11–22 33.33%
uomolontra vs Nina 14–19 42.42%
uomolontra vs Claudio 15–14 51.72%
uomolontra vs Victor 9–20 31.03%
uomolontra vs Zafina 10–16 38.46%
uomolontra vs Lidia 11–15 42.31%
uomolontra vs Eddy 15–9 62.50%
uomolontra vs Heihachi 13–11 54.17%
uomolontra vs Xiaoyu 14–7 66.67%
uomolontra vs Leo 10–8 55.56%
uomolontra vs Leroy 10–7 58.82%
uomolontra vs Clive 7–9 43.75%
uomolontra vs Anna 11–5 68.75%
uomolontra vs Raven 6–7 46.15%
uomolontra vs Kuma 9–2 81.82%
uomolontra vs Shaheen 7–2 77.78%
uomolontra vs Panda 4–4 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.