Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Uppercut vs King 102–114 47.22%
Uppercut vs Jin 105–108 49.30%
Uppercut vs Kazuya 82–127 39.23%
Uppercut vs Bryan 84–117 41.79%
Uppercut vs Dragunov 45–103 30.41%
Uppercut vs Heihachi 56–59 48.70%
Uppercut vs Law 36–77 31.86%
Uppercut vs Steve 40–60 40.00%
Uppercut vs Paul 35–60 36.84%
Uppercut vs Yoshimitsu 31–42 42.47%
Uppercut vs Reina 38–34 52.78%
Uppercut vs Devil Jin 35–34 50.72%
Uppercut vs Victor 35–27 56.45%
Uppercut vs Lars 27–31 46.55%
Uppercut vs Nina 29–29 50.00%
Uppercut vs Anna 19–32 37.25%
Uppercut vs Jun 24–26 48.00%
Uppercut vs Fahkumram 17–31 35.42%
Uppercut vs Hwoarang 26–21 55.32%
Uppercut vs Armor King 19–28 40.43%
Uppercut vs Asuka 20–21 48.78%
Uppercut vs Lili 14–27 34.15%
Uppercut vs Clive 13–23 36.11%
Uppercut vs Eddy 10–25 28.57%
Uppercut vs Alisa 11–19 36.67%
Uppercut vs Feng 10–19 34.48%
Uppercut vs Jack-8 11–17 39.29%
Uppercut vs Claudio 11–17 39.29%
Uppercut vs Lee 10–18 35.71%
Uppercut vs Leroy 11–14 44.00%
Uppercut vs Miary Zo 10–14 41.67%
Uppercut vs Xiaoyu 9–14 39.13%
Uppercut vs Lidia 9–12 42.86%
Uppercut vs Raven 3–17 15.00%
Uppercut vs Azucena 9–10 47.37%
Uppercut vs Kuma 1–11 8.33%
Uppercut vs Leo 5–6 45.45%
Uppercut vs Zafina 2–5 28.57%
Uppercut vs Panda 1–2 33.33%
Uppercut vs Shaheen 0–1 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.